13results about How to "Small lag" patented technology

The invention relates to the technical field of farmland pest real-time detection, in particular to a farmland pest real-time detection device, method and system based on an unmanned aerial vehicle, and the device comprises the unmanned aerial vehicle, a flight control system, a remote controller, a camera, a camera remote controller, an airborne computer, a 4G communication module and a ground workstation. A detection result is transmitted to a ground work station in real time through the 4G communication module, so that the real-time performance of data is ensured, the lagging of information processing during pest outbreak is reduced, and pest diffusion caused by information delay is avoided; according to the method, pests are automatically identified based on an improved YOLOv10 network model, a weight file is deployed on an airborne computer of an unmanned aerial vehicle and real-time detection is carried out, images can be directly processed in the flight process, a detection result can be rapidly obtained, information lag is avoided, it is ensured that prevention and control measures can be taken in time when pests burst out, and the control efficiency is improved. Therefore, crop loss is reduced.

The invention discloses an LLM data acquisition processing method and system based on an automatic capture technology, and relates to the technical field of artificial intelligence, and the method comprises the steps: distributing a data acquisition task for each crawling node in a distributed node architecture; the crawling node accesses different data sources based on the data acquisition task to obtain acquired data; after the crawling node completes a round of data acquisition, task allocation is adjusted based on the acquisition progress and the acquisition efficiency; performing first data processing on the acquired data, and performing data quality evaluation, invalid information removal and text correction on the acquired data after the first data processing; according to the method and the device, the collected data which is from different data sources and is subjected to the first data processing are integrated to obtain the integrated data, and the integrated data is subjected to the second data processing to obtain the LLM data, so that the problem that the data of various data sources for LLM cannot be efficiently collected and processed with high quality in the prior art is solved.

The invention relates to the technical field of novel hydrogen storage alloys, and discloses a high-performance A1 + mB2-m type titanium-manganese-based hydrogen storage alloy and a preparation method thereof, the chemical general formula of the hydrogen storage alloy is Ti < 1 + a-x > Zr Mn < c > Cr < 2-a-b-c > Fe < x >, a < lt >; 0.2 part; 0 lt; blt; 0.1 part; 1.0 lt; clt; ct; 1.7, 1.7; 0 < = xlt; and 0.2 part. The preparation method comprises the following steps: carrying out vacuum high-temperature short-time heat treatment on as-cast alloy, and naturally cooling along with a furnace. The invention designs a vacuum high-temperature short-time heat treatment process, so that the A1 + mB2-m type titanium-manganese-based alloy is converted into a single Laves phase from an as-cast multiphase structure, and the platform characteristics are remarkably improved. Compared with an as-cast alloy, the platform slope of the annealed alloy can be reduced to 0.33, and the hysteresis coefficient is only 0.06. In addition, by partially replacing A-side Ti with a B-side element Fe and combining a specific vacuum high-temperature short-time heat treatment process, the alloy keeps a single Laves phase structure, and the reversible hydrogen storage capacity and the hydrogen desorption rate are remarkably improved. The problems that an existing titanium-manganese-based hydrogen storage alloy is poor in platform characteristic, low in reversible capacity, complex in process and the like are solved, and the titanium-manganese-based hydrogen storage alloy has the large-scale application potential.

The invention discloses an intelligent milk tea machine equipment data monitoring method based on a cloud platform, and relates to the technical field of industrial Internet of Things, and the method comprises the steps: collecting operation data of a milk tea machine, carrying out the preprocessing, and generating a preliminary preprocessing data set; operation parameter optimization analysis is carried out on the fault prediction information and the health state indexes, a dynamic control strategy is generated, an upgrading plan is made, and a hot-pressing film upgrading scheme is generated; issuing the dynamic control strategy and the hot-pressing film upgrading scheme to an end-side milk tea machine, adjusting operation parameters in real time according to the dynamic control strategy, executing the hot-pressing film upgrading scheme, and generating end-side execution data; and according to the end side execution data and the edge feature vector, carrying out iterative updating on the milk tea machine operation model to generate an optimized milk tea machine operation model, and carrying out cooperative closed-loop control to generate real-time operation monitoring data. According to the invention, high-credibility data is provided for real-time control and predictive maintenance, the potential fault risk is reduced, and the operation safety of the milk tea machine is optimized.

The invention provides a multi-role transaction supervision system, and belongs to the technical field of databases. The system comprises a transaction creation module, a transaction management module, an online and offline function module, a handling condition filling module, an auditing process module, an operation recording module, a multi-role cooperative work module, a data analysis module, a user interface module and a security management module. Through the system, a user can create a supervision list and generate a unique ID, manage the state of each transaction, support filling and auditing of transaction conditions, and ensure high efficiency and standardization of transaction processing. Detailed information of each operation is recorded, transparency is enhanced, and information sharing and cooperation among multiple roles are supported. Meanwhile, a built-in data analysis function provides a visual report for a manager, and scientific decision making is supported. The problems of low efficiency, non-transparent information and the like in traditional transaction management are solved, digital transformation of departments is promoted, and an efficient and intelligent management tool is provided for public services.

The invention provides a pressure heating refrigeration working medium based on solid-liquid phase change. The pressure heating refrigeration working medium comprises water and gadolinium chloride which serves as a nucleating agent and is dissolved in the water. According to the application of the water-based system serving as the pressure heating refrigeration working medium, refrigeration is conducted through latent heat of the water-based system in the solid-liquid phase change process, and the water-based system comprises water and a nucleating agent dissolved or dispersed in the water. The water-based system provided by the invention is a typical primary phase change material, phase change causes huge phase change latent heat and entropy change, and the entropy change in the phase change process can reach 1170 J. Kg <-1 >. K <-1 >. Meanwhile, the hysteresis of the material is small, the minimum thermal hysteresis can be as low as 8 K, the phase change of the material is sensitive to hydrostatic pressure, and the isothermal entropy change under the small pressure of 0.1 GPa exceeds 1030 J.kg <-1 >. K <-1 > and is far higher than that of all reported materials at present. And the water can realize a large pressure heating effect under small pressure, so that the device has a huge potential application value in pressure heating refrigeration and heat management technologies.

This invention discloses a method for identifying and adaptively controlling the pumping status of high-strength concrete in ultra-high-rise buildings. Addressing industry pain points such as high friction, easily abrupt changes in flow regime, and susceptibility to pipe blockage and segregation in ultra-high-rise C60 and above high-strength concrete pumping, this invention achieves advanced status identification through multi-source time-series data acquisition, specialized feature extraction, and fusion of time-varying friction mechanism and LSTM hybrid model. It employs an MPC and feedforward compensation architecture to achieve multi-level collaborative adaptive control of the main pump, relay pressurization, and admixtures, supporting sensor fault state reconstruction. This method achieves advanced warnings of over 30 seconds, reduces pipe blockage rate by over 90%, controls pressure and flow fluctuations within ±4%, and enables fully unmanned adaptive control. It solves long-standing technical problems in pumping high-strength concrete in ultra-high-rise buildings, significantly improving construction safety, continuity, and intelligence. It is applicable to high-strength concrete pumping construction in ultra-high-rise buildings over 200m in height.

The invention discloses a high-capacity easy-to-activate TiFe hydrogen storage alloy and a preparation method thereof, and relates to the field of hydrogen storage alloys. A is greater than or equal to 50 and less than or equal to 55, b is greater than or equal to 2 and less than or equal to 4, c is greater than or equal to 1 and less than or equal to 5, d is greater than or equal to 1 and less than or equal to 4, and RE is a rare earth element. According to the hydrogen storage alloy, Nb can increase lattice parameters of a TiFe main phase and increase the hydrogen storage amount, and can be combined with excessive Ti to form a single phase for preferential hydrogen absorption and improve the room temperature activation performance, the existence of rare earth elements is beneficial to improvement of cycle stability and improvement of the activation performance, Co is beneficial to improvement of a hydrogen absorption and desorption platform and the platform flatness, Cr is beneficial to improvement of the activation performance of TiFe, and the service life of the hydrogen storage alloy is prolonged. The TiFe alloy can rapidly absorb hydrogen at room temperature, the maximum hydrogen storage amount can be achieved within 4 h, energy consumption is reduced, the total hydrogen storage amount is larger than 2 wt%, and the effective hydrogen desorption amount is larger than 1.7 wt%.

Provided are hydrogen storage materials having hydrogen absorption (storage) desorption properties suitable for hydrogen storage also in a temperature range of 0°C or lower. Further, provided are a hydrogen storage container containing the hydrogen storage materials, and a hydrogen supply apparatus comprising the hydrogen storage container. Specifically, hydrogen storage materials having an alloy with an elemental composition represented by Formula (1), a hydrogen storage container containing the hydrogen storage material, and a hydrogen supply apparatus comprising the hydrogen storage container are provided. [in Formula (1), M is at least one kind selected from Mn, Co, and Al and essentially contains Mn, a satisfies 0.00 ≤ a ≤ 0.62, b satisfies 0.20 ≤ b ≤ 0.57, c satisfies 0.17 ≤ c ≤ 0.60, d satisfies 4.50 ≤ d ≤ 5.20, e satisfies 0.15 ≤ e ≤ 0.70, a+b+c = 1, c+e satisfies 0.55 ≤ c+e ≤ 1.20, and d+e satisfies 5.13 ≤ d+e ≤ 5.40.]

The present invention discloses a handwritten letter signal recognition system and method based on a flexible sensor. The flexible sensor is arranged at the finger joint. During the handwriting process, the flexible sensor senses the voltage change caused by the strain of bending at the finger joint and sends it to a semiconductor feature analyzer; the semiconductor feature analyzer obtains the real-time resistance signal of the flexible sensor and transmits it to a signal processor; the signal processor has a built-in multi-stream convolutional neural network, receives the signal of the semiconductor feature analyzer, and then obtains the classification result of the handwritten letter corresponding to the output handwritten strain signal through multi-stream convolutional neural network analysis and processing. The conductive material of the flexible sensor of the present invention is a liquid metal material, which has very high sensitivity and conductivity, ensuring the feasibility and accuracy of letter recognition. The recognition method can effectively judge the letter category according to the transmitted resistance change, which is more intuitive and accurate.

The invention provides a non-stoichiometric ratio hydrogen storage alloy and a preparation method thereof, the composition general formula of the non-stoichiometric ratio hydrogen storage alloy is La1-a-b-cREaCabMgcNi3.6-dRd, 0.05 < = a < = 0.15, 0.2 < = b < = 0.4, 0.2 < = c < = 0.4, 0.1 < = d < = 0.3; wherein RE comprises Ce, Y, Sm, Nd or Er; r comprises Co, Al, Si, Mn, Fe or Zn. The preparation method comprises the following steps: carrying out vacuum induction melting on metal raw materials according to a composition general formula of the non-stoichiometric ratio hydrogen storage alloy, and then sequentially carrying out sealing, heat treatment and melt-spinning to obtain the non-stoichiometric ratio hydrogen storage alloy. The non-stoichiometric hydrogen storage alloy provided by the invention is high in hydrogen storage capacity, easy to activate, high in plateau pressure, small in hysteresis generated by hydrogen absorption and desorption, simple in preparation method and low in cost.

The invention relates to the technical field of turbochargers, and discloses a premixing type turbocharger and an exhaust pipe, an exhaust gas turbine is arranged at the front end of the exhaust pipe, a premixing assembly is arranged between the exhaust pipe and the exhaust gas turbine, an oil injection mechanism is arranged on the exhaust gas turbine, and the premixing assembly comprises a mixing cavity formed between the exhaust pipe and the exhaust gas turbine; the front end of the exhaust pipe penetrates through and is fixed with the rear side of the mixing cavity. The mixing cavity is additionally formed in the exhaust pipe, when engine exhaust gas is sprayed into the main output gas pipe from the exhaust pipe, low pressure can be generated in the mixing cavity due to the airflow effect, external air can enter the mixing cavity under the differential pressure effect, the air and the exhaust gas are premixed and then enter the main output gas pipe, and then the exhaust gas turbine is pushed; the introduction of the air can also be pressed in through a pressure air source, so that the air mixing amount is further increased, and the introduction of the air increases the total air flow in the exhaust gas turbine, so that the exhaust gas turbine can intervene in work under the condition of less exhaust gas flow.

This invention relates to the field of foundation pit monitoring. The purpose of this invention is to provide a method and system for monitoring deep horizontal displacement in foundation pits based on digital twins. By embedding an automated inclinometer array around the perimeter of each side of the foundation pit and using an IoT transmission module to upload multi-point horizontal displacement data to a cloud server, the invention automates data acquisition, transmission, and processing, reducing the lag caused by manual measurement. Simultaneously, an initial model of the foundation pit is established on the cloud server. The spatial coordinates and displacement data of the monitoring points are mapped to the corresponding elevation using a geometric projection algorithm. Combined with a spatial interpolation algorithm, high-precision three-dimensional point cloud data covering the foundation pit elevation is generated, and a three-dimensional digital twin model corresponding to the foundation pit is constructed to update the three-dimensional digital twin model upon receiving new displacement data. Furthermore, the visualization of the three-dimensional digital twin model of the foundation pit effectively improves the identification efficiency of areas with abnormal displacement, facilitating rapid assessment of risk levels.