17results about How to "Respond effectively" patented technology

The application discloses a data crawling analysis method and device based on an industrial internet, and a medium, and belongs to the technical field of industrial internet data processing, and is used for solving the technical problems that the industrial internet data crawling in the prior art cannot be compatible with multiple types of web pages and dynamic loading technology, lacks customized rule configuration, has weak anti-crawling capability, and has low data structuring degree. The method comprises the following steps: collecting user demand data of a user; performing customized configuration on the initial crawling rule under the relevant rule adjustment to obtain a customized rule; performing crawling processing on a target website under relevant dynamic web pages and static web pages, and based on an anti-crawling mechanism, monitoring and controlling corresponding crawling actions to obtain target webpage data crawled; performing data structure analysis processing on the target webpage data to obtain a data structure format; performing distributed storage on the data structure format to obtain data storage result information; and feeding back and adjusting the customized rule.

The application relates to a method and device for expressing driving information by vehicle light language, a vehicle and a storage medium, wherein the method comprises the following steps: obtaining driving information input by a driver when the vehicle is in a light language expression working condition; querying a light language expression table based on the driving information to obtain an optimal light language expression type and an optimal light language expression mode matched with the driving information; and simultaneously controlling at least one of a vehicle logo light, a width display light, a brake light, a steering light and a warning light of the vehicle to be turned on based on the optimal light language expression type, and performing a light action in the optimal light language expression mode. According to the application, the optimal light language expression type and expression mode matched with the driving information input by the driver are obtained to control the vehicle to turn on corresponding lights and perform a light action in the optimal light language expression mode, so that the information of the driver, passengers and vehicle safety can be effectively reflected by the vehicle light language, reliable driving basis is provided for other vehicles, and the reliability and safety of the vehicle are greatly improved.

The utility model provides a kind of homologous flare gas energy-saving type ignition device, it is mainly related to industrial ignition equipment technical field.A kind of homologous flare gas energy-saving type ignition device, including gas branch pipe, the gas branch pipe end portion fixed setting protective cover, the gas branch pipe other end fixed setting air inlet pipe, the air inlet pipe inside coaxial heart setting gas pipe, the protective cover bottom fixed setting protection pipe, the protective cover inside fixed setting heating body, thermocouple, the protection pipe inside is provided with heating body power cord, thermocouple cable, the thermocouple cable other end is connected with the control power supply box of outside temperature feedback.The utility model has the beneficial effect that: using silicon-carbon heating rod or silicon-molybdenum heating rod as heating body, can stable output high temperature after rapid heating, cooperate with the spiral lug design of gas branch pipe end portion, airflow is rectified and converges and is in full contact with high-temperature heating body, can reach fuel ignition point quickly, guarantee flare gas stable ignition.

The present application relates to the technical field of automobile active suspension control, more particularly to an active suspension control method and system for an in-wheel motor automobile under complex road conditions. The control method comprises: obtaining the current driving state of the vehicle; and switching the output force of the active suspension actuator according to the driving information. The present application combines the extension LQG control and the preview MPC control to construct a complex road switching control scheme, and introduces a smoothing coefficient to ensure smooth transition during control switching, thereby improving the ride comfort of the vehicle under random road conditions containing discrete impacts. The present application further improves the driving smoothness and suspension working safety, especially the comprehensive control performance of the suspension under the influence of discrete impacts.

The application provides a kind of miscellaneous fill mucky soil pipe network drilling hole wall stable control device, including fixed base, hole wall support unit, inflatable structure and clamping assembly.Fixed base is set at the orifice of drilling, with the through hole that is communicated with the orifice.Hole wall support unit is provided with multiple, multiple hole wall support units can form the wall protection string that can be lowered into drilling through the through hole in series.Every hole wall support unit has expansion section.Inflatable structure can inflate hole wall support unit after being lowered into drilling, so that expansion section extends outward and abuts with hole wall.Clamping assembly can clamp the top end of hole wall support unit before inflating hole wall support unit.The miscellaneous fill mucky soil pipe network drilling hole wall stable control device provided by the application can efficiently respond to the effect of soil stress change, improve the supporting effect, effectively reduce the risk of hole collapse, and guarantee the construction progress and safety.

The utility model relates to wafer processing technical field especially, relates to a wafer cutting machine. The utility model provides a wafer cutting machine, including square through frame, marble base, marble stand, marble crossbeam, laser light path, Z axle, mounting panel, cutting head, connecting block and connecting wire etc., be equipped with marble base on square through frame, marble base rear side symmetry is equipped with marble stand, marble stand top between being equipped with marble crossbeam, be equipped with laser light path on marble crossbeam, marble crossbeam front side is equipped with mounting panel, and the front side mounting of mounting panel has Z axle, and the output end of Z axle is connected with connecting block, and the middle part mounting of connecting block has cutting head, and connecting block and laser light path are connected through connecting wire, still include the right side of connecting block is equipped with visual system. Through the unique visual system that camera one, camera two and camera three constitute, effectively promoted the flexibility and adaptability of cutting machine in the cutting of residual piece.

This application discloses an overcurrent protection event handling method and an electronic device, belonging to the field of electronic device technology. The method includes: acquiring a target OCP event reported by the PMIC; in response to the target OCP event being a non-false alarm event, determining the failure type that triggered the target OCP event, the failure type including hard failure or soft failure; in response to the failure type triggering the target OCP event being a hard failure, controlling the electronic device to output a target prompt; in response to the failure type triggering the target OCP event being a soft failure, adjusting the target parameter that triggered the soft failure.

The application provides a multi-robot system cooperative planning method, and belongs to the technical field of multi-robot welding systems, and can at least partially solve the problems of task allocation and sequence planning separation processing, dependence on artificial experience and low planning efficiency in the prior art. The application comprises: establishing a multi-objective optimization model with the optimization objectives of minimizing the robot movement distance difference and minimizing the maximum movement stroke; adopting a double-chromosome coding scheme to code individuals, and respectively representing the task allocation and operation sequence of each robot; performing population initialization based on spatial region division to generate an initial population satisfying process constraints; constructing an enhanced adjacency list and performing a crossover operation to generate offspring individuals; performing iterative optimization until the termination condition is met, and selecting a planning scheme from the non-dominated solution set. The application realizes the synchronous optimization of task allocation and sequence planning, and significantly improves the planning efficiency and production efficiency of the multi-robot system.

A burst traffic allocation method based on deep learning and cooperative game theory, belonging to the field of communication network traffic engineering technology, solves the problems of resource optimization and user experience fairness under burst traffic in dynamic networks. The core of this invention lies in deeply coupling network-side traffic engineering (QoS optimization) with user-side resource allocation (QoE optimization) to form a closed-loop collaborative optimization framework. In burst traffic scenarios, this method first allocates traffic to alternative paths according to the path allocation ratio calculated by the model, reducing maximum link utilization, avoiding network congestion, and enhancing the network's robustness to burst traffic. Then, the available bandwidth on the allocated paths is used as a resource and distributed among multiple users, aiming to maximize the overall experience of all users while ensuring fairness among users, achieving collaborative optimization of service quality and user experience quality in a dynamic network environment.

The utility model relates to the technical field of semi -trailer damping device, concretely relates to a semi -trailer damping device, include: mounting panel, damping component, the damping component includes the fixed slide rail of symmetry fixed mounting on the end surface of mounting panel, the fixed slide rail is fixedly installed with first compression gas bag, the first compression gas bag is filled with chemical gas, the fixed slide rail is symmetrically installed with buffer gas bag, and the first compression gas bag is transported gas through the conveying pipe between buffer gas bag, the utility model discloses a second compression gas bag, return hose and the matched one-way valve (first one-way valve) are set up, and the closed loop gas passage that constructs from buffer gas bag to second compression gas bag through the flow guide pipe, return first compression gas bag again through return hose is established, in the vibration rebound stage, second compression gas bag is compressed, and the gas working substance stored in its inside is pressed back first compression gas bag and is reused.

The invention discloses a shunting and reinforcing integrated device for a strain clamp hoisted by an unmanned aerial vehicle, and relates to the technical field of power transmission line fitting installation. According to the invention, the position, speed and power output data of the unmanned aerial vehicle are shared in real time by using the wireless interconnection communication between the micro flight control sub-module and the main flight control system of the hoisting unmanned aerial vehicle through the multi-machine cooperative hoisting intelligent adaptation module, and the hoisting posture of the device is automatically adjusted to match the multi-machine cooperative power rhythm; and a built-in path correction algorithm can effectively cope with complex airflow environments such as strong wind and turbulent flow, the hoisting path is dynamically corrected, the position precision of multi-machine cooperative hoisting is controlled at the millimeter level, and the precision and stability of the hoisting process are remarkably improved.

This invention provides a data processing method, apparatus, electronic device, and storage medium for a domain controller, relating to the field of communication technology. By sending a current status detection request to the domain controller via a first communication channel, if a power-on confirmation message based on the current status detection request is not received from the domain controller within a preset time period, the reception of test data from the domain controller transmitted via a second communication channel is stopped. If a power-on confirmation message based on the current status detection request is received from the domain controller within the preset time period, the reception of test data from the domain controller continues via the second communication channel. This effectively addresses situations where the domain controller suddenly goes offline or loses power, thereby improving the applicability of the domain controller testing method and ensuring the reliability of test results during domain controller testing, thus guaranteeing the safety and reliability of the vehicle.

This invention belongs to the field of production control technology and provides a green production optimization management method and system for jacquard fabrics. The method includes: based on the weaving parameters and the preset process parameters, using a pre-trained Transformer energy consumption prediction model to predict the energy consumption per unit fabric length; in response to the energy consumption per unit fabric length exceeding a preset threshold, using a reinforcement learning model to adjust the process parameters to obtain first optimized process parameters that meet the energy consumption threshold; obtaining the first correlation degree between the optimized parameters in the first optimized process parameters and surface defects of the jacquard fabric; conducting a preset number of trial productions based on the first optimized process parameters; obtaining second optimized process parameters by dynamically inputting surface defects during the trial production process into the reinforcement learning model; and producing the jacquard fabric based on the second optimized process parameters, thereby achieving a balance between energy consumption reduction and quality assurance in the jacquard fabric process parameters.

The invention relates to the field of optimization control, and discloses an adaptive optimization control method for a thermal process of a thermal power generating unit, which is used for improving the control quality and adaptability of the thermal process of the thermal power generating unit. The method includes calculating deviation between a measured value and a set value of a controlled variable; generating a total disturbance real-time estimated value of the system by using a quasi-continuous disturbance observer, and performing feedforward calculation to generate a feedforward compensation signal according to the total disturbance real-time estimated value; a self-adaptive compensation signal is generated by combining the real-time disturbance estimation value and deviation integral learning; and finally, fusing the output of the basic controller, the feedforward compensation signal and the adaptive compensation signal to form a final control instruction. According to the method, the operation load is monitored to call the parameters, the parameter mapping table is constructed and maintained, and the feed-forward gain coefficient and the adaptive learning rate are optimized, so that the adaptability to working condition change, the anti-disturbance capability and the control effect on a large delay link are effectively improved.

This utility model discloses a conveniently expandable dust removal structure for a doubling machine. It relates to the field of dust removal technology for doubling machine equipment. The structure includes a transfer box with bidirectional passages on both the upper and lower sides. A guide rail mechanism is fixedly connected inside the transfer box, with each pair of laterally adjacent guide rail mechanisms forming a group. Through the coordinated operation of the dust collection hood, suction port, exhaust pipe, and dust collection hood, this utility model can efficiently collect impurities generated by the doubling machine. The dust collection hood can be flexibly adjusted to align with the impurity source, and the dust collection hood guides the impurities to flow towards the suction port, effectively improving the dust collection effect. Furthermore, the filter element assembly better purifies the air, reducing impurity pollution of the workshop environment, protecting worker health, reducing the risk of impurities entering the doubling machine, reducing equipment wear and malfunctions, improving product quality, and lowering enterprise production costs.

The application provides a big data fast processing and abnormality identification system and method. The system comprises a data acquisition and access module, which can acquire data from heterogeneous data sources in multi-thread parallel mode and standardize the data; a distributed buffering and storage module, which adopts Kafka and HDFS to realize high-throughput buffering and reliable storage; a streaming processing calculation module, which can aggregate features based on a dynamic sliding window and can also calculate trend features; an abnormality identification engine, which is internally provided with an adaptive threshold algorithm model, the tolerance coefficient of which can be dynamically adjusted, and has a cold start strategy for new data streams; an alarm and action execution module, which can trigger multi-level alarms and automatic actions; and a system management and visualization module, which provides configuration, display and other functions. The method covers the whole process from data acquisition to model iteration. The application can efficiently process data, intelligently identify abnormalities, and continuously improve the model performance and abnormality identification accuracy.

The application provides an image target intelligent tracking positioning method and system under Beidou position constraint, relates to the Beidou positioning technical field, and comprises the following steps: acquiring multi-source heterogeneous data streams, constructing a multi-modal representation model, and establishing a coordinate system dynamic projection transformation relationship; generating a search mask to limit the tracking range by using Beidou position information; performing Bayesian correction on the tracking result by using double-domain consistency measurement; and dynamically updating the projection transformation parameters and feature weights based on residual distribution.The application realizes the deep fusion of vision and Beidou information, and improves the accuracy and robustness of target tracking in a complex scene.