246 results about "Environmental Wind" patented technology

The invention relates to the technical field of construction control, and particularly discloses a method and a system for dynamically regulating and controlling the installation precision of an inclined-span steel box arch bridge based on machine learning. Wherein the real-time data comprises real-time stress of the arch rib, real-time deformation of the arch rib, real-time environment wind speed and real-time hoisting parameters; constructing a prediction model capable of analyzing the coupling effect of the wind load and the hoisting unbalance load based on a large amount of historical construction data; inputting real-time data into the prediction model to obtain a real-time coupling effect analysis result; outputting a hoisting sequence optimization instruction based on the decision engine, the coupling effect analysis result and a preset mechanical constraint condition of the obliquely-spanning steel box arch bridge; based on the deviation between the real-time deformation amount of the arch rib and a preset installation precision threshold value, a cable force grading adjustment scheme is generated; construction efficiency of the inclined-span steel box arch bridge is effectively improved, construction safety and installation precision are guaranteed, and stability and reliability of the bridge structure are guaranteed.

The invention discloses a fan blade diagnosis method and system based on voiceprint perception, and relates to the technical field of intelligent monitoring of wind power equipment, and the method comprises the steps: carrying out frequency domain compensation processing, stripping environment wind noise components, and generating a pure voiceprint signal based on a wind flow characteristic parameter set; based on the pure voiceprint signal, identifying a sensitive acoustic frequency band of the fan blade, exciting a sound wave phase synergistic effect in the sensitive acoustic frequency band, and generating an enhanced voiceprint signal; quantifying the internal damage depth of the fan blade material according to the enhanced voiceprint signal, and calculating a sound energy flow disorder degree index; according to the sound energy flow disorder degree index, the blade health state of the fan is judged through a multi-dimensional acoustic characteristic state space mapping mechanism, and a three-dimensional health assessment report is generated; through a physical level wind noise stripping technology, a transfer function matrix is generated based on vortex interference modeling and sound wave-airflow phase offset correction, frequency domain energy reweighted decoupling is realized, and environmental wind noise is accurately stripped in a strong turbulence environment.

The application provides a large-span bridge substructure vehicle-fire wind force real-time hybrid test platform and implementation method, the platform comprises a physical loading and transmission system, a T-shaped wind-fire coupling simulation system, a modularized prying integrated system, an intelligent control and calculation system and a multi-dimensional high-precision monitoring system. The method realizes real-time pre-test of the boundary displacement / force of the test piece through the construction of a numerical substructure fast calculation model based on LSTM and converts the boundary displacement / force into a loading instruction to drive the through core jack to realize thermal force coupling interactive loading; the T-shaped wind-fire coupling simulation system reproduces the real vehicle fire scene under the influence of the environmental wind. The test platform supports independent loading of any component of the cable system, can execute open space self-defined fire test and closed space standard fire test, and accurately analyzes the cable failure mode, critical temperature threshold and damage evolution law under fire through the multi-dimensional high-precision monitoring system, thereby providing a high-fidelity test platform and analysis method for fire resistance design of large-span bridges.

The invention discloses a high-pier large-span extra-large bridge suspended pouring beam hanging basket construction method, and belongs to the field of bridge engineering construction.The method comprises the following steps that hanging basket rails are installed, the precision is controlled, and a hanging basket comprising a double-channel-steel main truss, a manganese steel sling, an arc-shaped flow guide plate and a honeycomb formwork is assembled; grading pre-pressing is carried out according to the specified multiple of the design load, and the pre-camber of the template is corrected by adopting a BP neural network to ensure that the finished bridge linear error meets the requirement; a mechanical-hydraulic-electrical integrated intelligent control system is deployed, and the traveling speed and synchronism of the hanging basket are controlled through double-oil-cylinder driving, a 5G digital twin platform and an edge computing technology, so that rapid alarm is realized when the load is abnormal; segmental circulation construction is carried out, and when the environment wind speed reaches a set value, a hydraulic rail clamping device is automatically locked; a model is established by using ANSYS software, and simulation verification is performed on multiple types of key working conditions to ensure that the safety coefficient of the structure meets the specification requirement. The construction precision and safety are guaranteed, and the method adapts to complex environments.

The invention discloses an air pollution intelligent early warning method and system based on machine learning, and the method comprises the steps: obtaining the multi-source data of environment, wind direction, geography, traffic, emission, population and the like, carrying out the multi-scale decomposition of the environment data, extracting the short-term fluctuation and long-term trend, and achieving the time series prediction in combination with a historical mode; constructing a regional association graph by using a graph convolutional network, identifying cross-regional diffusion features, and fusing wind direction and space information to determine a high-risk region and a potential diffusion path; carrying out weighted calculation in combination with traffic and emission data to obtain a comprehensive risk score, and completing region division and early warning level determination; and finally, generating a regional visual early warning report. According to the invention, pollution trend accurate prediction and diffusion path identification can be realized.

The invention relates to a wind power blade hoisting load simulation analysis method which comprises the following steps: defining a plurality of simulation working conditions corresponding to a plurality of hoisting scenes according to a blade hoisting scheme of a wind generating set and the plurality of hoisting scenes; a multi-body coupling model established on the basis of a blade hoisting system is adopted, hoisting load simulation analysis is conducted on the basis of the multiple simulation working conditions, hoisting load data of the multiple simulation working conditions are obtained, and the multi-body coupling model comprises blades, a draught fan main engine, a hoisting tool and environment wind conditions. The invention further provides a wind power blade hoisting load simulation analysis device and a storage medium. The simulation analysis of the hoisting load of the wind power blade is realized, the load level of the blade and the whole machine in the hoisting process of the wind power blade can be evaluated, physical tests can be reduced, and the hoisting safety of the wind power blade can be enhanced.

The invention discloses a power distribution cabinet intelligent early warning system and method based on multi-modal data, and relates to the technical field of power distribution cabinet intelligent early warning, and the method comprises the steps: carrying out the recognition of environment parameters of a position where a power distribution cabinet is located, and obtaining macroscopic environment data, including environment wind power data, environment humidity data, environment temperature data and environment pollutant data; constructing a three-dimensional coordinate system, and performing grid unit division on the surface of the power distribution cabinet to obtain grid units of the power distribution cabinet; performing data collection on the grid units of the electric cabinet to obtain grid unit parameters; constructing an electrolytic layer prediction model, identifying the macroscopic environment data and the grid unit parameters, and predicting to obtain an electrolyte film risk index of the grid unit of the power distribution cabinet based on coupling analysis of environmental dirt retention and condensation infiltration on the outer surface of the power distribution cabinet; and performing abnormal early warning on the power distribution cabinet based on the spatial distribution of the grid units of the power distribution cabinet and the corresponding electrolyte film risk index.

The invention relates to the technical field of power construction, discloses a multi-system coupling control crossing frame erection collaborative operation method and system, and aims to improve the stability and collaborative efficiency of an erection process. The method comprises the following steps: establishing a three-dimensional digital model of a spanning structure body, synchronously accessing a plurality of sensor acquisition systems, and acquiring space coordinates of key nodes of the spanning structure body, environmental wind load and operation state information of construction equipment in real time; dynamically generating an anti-overturning constraint condition based on space coordinates and wind load information, and generating a cooperative scheduling strategy in combination with an equipment state; and constructing a space pose matching model to output deviation correction parameters. The stability of the frame body is evaluated through the dynamic analysis model, a load early warning index is generated, and an equipment action instruction is generated through the path optimization model. And adjusting the operation priority according to the early warning index, and synchronously sending the updated priority and the action instruction to the terminal to realize multi-system closed-loop control.

The invention relates to the field of digital twin driving, and discloses an electric actuator energy consumption optimization method and system based on digital twin driving, and the method comprises the steps: collecting the current, torque, rotating speed, temperature, vibration and environment wind speed data of an electric actuator in real time, carrying out the online recognition of the thermal-friction coupling parameters of the actuator through a multi-scale sliding window method, and carrying out the online recognition of the thermal-friction coupling parameters of the actuator; the operation state of the actuator is dynamically updated in combination with the load damping change and the long-term health condition; the load evolution trajectory of the actuator is extracted, transient fluctuation and long-term degradation trend analysis are combined, and the energy consumption deviation and the performance bottleneck existing in the operation process of the actuator are recognized; according to the method, related actuator components and mutual influences thereof are comprehensively analyzed, parameters, feature weights and updating frequencies of the digital twin model are dynamically adjusted, and a real-time energy consumption optimization control strategy is generated. The method has the advantage that the real-time response capability and the long-term self-adaptive precision are improved.

The invention relates to the technical field of aerostat control, and discloses an aerostat control method and system, and the method comprises the steps: S1, collecting the internal state data, external environment data and environment parameters of an aerostat through a multi-source sensor; s2, processing the data acquired in the S1, and constructing a state and disturbance observer to obtain an aerostat state estimation value and an environmental wind disturbance estimation value; s3, based on the state estimation value and the wind disturbance estimation value of the aerostat, a self-adaptive control algorithm is adopted, a control instruction used for controlling the height and the horizontal position of the aerostat is generated, and the control instruction comprises a feedforward component used for actively compensating wind disturbance; and S4, distributing the control instruction to a channel power system of the aerostat and executing the control instruction. An integrated control architecture with state estimation, disturbance observation and adaptive control capabilities is constructed, three technical bottlenecks of weak control robustness, poor anti-interference capability and low intelligent level of a traditional aerostat in outdoor application are effectively solved, and the positioning precision and stability are improved.

The invention relates to the technical field of hoisting load unmanned aerial vehicles, in particular to a hoisting load unmanned aerial vehicle load distribution algorithm, which comprises the following steps: acquiring attitude data, load position coordinates and quality of an unmanned aerial vehicle body in real time, and detecting environment wind field distribution; constructing a dynamic graph structure including the unmanned aerial vehicle attitude data, the load position coordinates and quality and the environmental wind field nodes; calculating a current total gravity center deviation, a physical residual error and a compensation weight matrix of each execution mechanism; generating a compensation instruction by using a space-time fusion prediction network, inputting historical wind field data and a current node state, and predicting a load offset in a future time window through a space-time fusion neural network; calculating a target displacement of a balancing weight and a flexible tentacle joint angle sequence; the balancing weight is controlled to move to the target displacement along the linear guide rail, and the flexible tentacle joint is driven to reach the target angle; incremental compensation is carried out based on the adjusted total gravity center position; vibration energy at a main resonant frequency is suppressed.

The invention discloses a metal ball anti-swing method for metal ball calibration of a meteorological radar, and relates to the field of meteorological radars, comprising the following steps: S1, acquiring related information of a metal ball, a flying position and a radar; s2, determining a second rope length between the metal ball and the damping object according to the first rope length and the radar; s3, the mass of a damping object is determined according to the mass of the metal ball, and the shape of the damping object is determined; s4, the two ends of a connecting rope with the second rope length are connected with the metal ball and the damping object correspondingly; s5, the unmanned aerial vehicle is released at the releasing position, and at the beginning of releasing, the overall shaking amplitude of the metal ball and the damping object is reduced; according to the method, the influence of environmental wind and unmanned aerial vehicle movement on the stability of the metal ball is reduced to the greatest extent, the swing amplitude of the metal ball in the air is reduced, the time spent on aligning the antenna to the metal ball is shortened, and the accuracy of a calibration result is improved.

The invention relates to the technical field of wind power generation. The invention provides an emergency yaw and automatic crosswind method and system for a wind turbine generator. The method comprises the following steps: monitoring the on-off state of a safety chain in real time, and activating an emergency power supply switching module when detecting that the safety chain is disconnected; synchronously acquiring unit vibration spectrum, impeller rotating speed, environment wind speed and cabin load distribution data, and generating dynamic risk assessment parameters based on a multi-source signal fusion algorithm; inputting a hierarchical control instruction to a yaw driver according to a comparison result of the risk assessment parameter and a preset threshold value; and in the automatic crosswind control stage, the yaw rate and the angle offset are dynamically adjusted based on the blade root bending moment real-time feedback and the wind speed change rate, so that the unit maintains the aerodynamic load balance in the non-windward state. The problems that after a safety chain of an existing wind turbine generator is disconnected, yaw capacity is completely lost, emergency crosswind protection or fault recovery cannot be achieved, and a traditional emergency yaw scheme is high in cost, complex in maintenance, slow in response, difficult to adapt to complex working conditions and the like are solved.

The invention provides a visual monitoring method and device for power transmission line inspection, and relates to the technical field of power transmission line detection, and the method comprises the steps: controlling a preset crawling visual device to detect a preset power transmission line, and obtaining the environment wind parameters of the power transmission line; the environment wind parameters comprise environment wind direction parameters and environment wind speed parameters; analyzing the environmental wind parameters to determine actual influence wind parameters and reference critical wind parameters; judging whether the actual influence wind parameters meet the requirements of the reference critical wind parameters or not; if yes, continuing to control the crawling visualization device to detect the power transmission line, and continuing to obtain the environmental wind parameters of the power transmission line for cyclic judgment; if not, acquiring equipment wind receiving parameters of the crawling visualization device; analyzing the equipment wind receiving parameters to determine equipment adjustment parameters; and controlling the crawling visualization device to adjust the attitude according to the equipment adjustment parameters. The method has the effect of improving the detection accuracy of the power transmission line.

The invention relates to an AIoT-based fan tower inclination on-line monitoring and early warning method and system, and belongs to the technical field of intelligent operation and maintenance of wind power equipment, and the system comprises an end side sensing layer which is used for collecting inclination, settlement, vibration and environment data in real time through multi-point arrangement of inclination angle, vibration and wind speed sensor groups; the edge calculation layer is used for executing space-time consistency processing, dynamic weight fusion and vibration data compression sensing on the multi-source heterogeneous data; the cloud analysis layer is used for establishing a mapping relation among wind speed, vibration and inclination amount based on an LSTM neural network, inputting a time serialization wind speed mean value, vibration spectrum energy and an inclination angle difference value, outputting an inclination trend prediction value, adaptively adjusting a dynamic threshold according to the environment wind speed intensity, and generating an early warning instruction when the threshold is exceeded; and the IoT transmission network is used for converging edge data through ZigBee-Mesh and uploading the edge data to the cloud through 4G / 5G. Through an end-edge-cloud cooperative intelligent architecture, core technical support is provided for safe and efficient operation of the wind power plant.

The invention relates to the technical field of generators, and discloses an efficient heat dissipation piston generator which comprises a power generation body mechanism, wind collection and flow guide mechanisms are arranged on the two sides of the power generation body mechanism, and an air inlet and flow guide mechanism is arranged on one side of each wind collection and flow guide mechanism. According to the piston generator with the efficient heat dissipation function, through the arrangement of the power generation body mechanism, the air collection flow guide mechanism, the air inlet flow guide mechanism, the water mist spraying cooling mechanism and the seepage water collection mechanism, an active spraying cooling technology can be adopted in the using process, and micron-sized water mist is evenly sprayed to the surface of a power generation unit through the water mist spraying mechanism; and meanwhile, directional airflow is formed in combination with an air inlet flow guide structure to accelerate evaporation of liquid drops, so that heat is efficiently taken away, and compared with a traditional passive heat dissipation mode, the scheme remarkably improves the heat dissipation efficiency and reduces dependence on the environment wind speed.

According to a wind-driven bubble generating device. The device requires no external power supply and is driven only by environmental wind. By setting a user-interactive linear regulating mechanism, the core advantage of accurately controlling air inlet volume and bubble output volume based on wind power is realized, significantly enhancing energy efficiency ratio and user experience. The movement of the device adopts a quickly detachable and assemblable modular design, which simplifies cleaning, replacement and maintenance, greatly prolonging the service life of products and ensuring hygiene. Various mounting and fixing methods allow the device to be flexibly adapted to various wind-energy-utilizing places including inflatable castles and tents, greatly expanding its application scenarios. The device has the advantages of reasonable overall structural design, good sealing performance, liquid and air leakage prevention, simple and intuitive operation, safety and reliability, and has a huge market application prospect.

An adaptive air intake control system and method for cooling towers, coupled with airflow diversion for energy saving, belongs to the field of adaptive control system technology. The system includes an information acquisition unit, an execution unit, and an adaptive control unit. The information acquisition unit collects environmental wind parameters and key operating parameters in real time. The execution unit includes multiple independent fan blade groups with circumferential partitioning and vertical layering for precise execution of commands. The adaptive control unit executes operational decisions, selecting the dominant operating mode from airflow diversion energy saving, anti-freezing energy saving, and anti-drip energy saving modes; it then identifies and outputs wind condition characteristics and thermal anomaly indicators through key parameter status identification, and generates control commands based on the adaptive control strategy and command generation. The system forms a closed loop, capable of adaptively adjusting the identification model and control strategy based on feedback. A corresponding control method is also disclosed, enabling intelligent and precise control of air intake in cooling towers under complex environments, improving cooling efficiency and energy saving while ensuring anti-freezing safety.

The invention belongs to the technical field of wind tunnel simulation, and particularly discloses a complex environment wind field simulation device, which comprises a test cabin, a fan system and a wind guide curtain assembly, the test cabin comprises a pressure stabilizing cabin, an inner cabin and an outer cabin, the fan system comprises a rotational flow fan, a horizontal flow fan and a vertical flow fan, and any cabin wall of the inner cabin is provided with a wind wall. An air return wall is arranged opposite to the air wall; the multiple rotational flow fans are evenly arranged in the circumferential direction of the bottom of the inner cabin at intervals. The vertical flow fans are uniformly distributed on the peripheral side walls of the pressure stabilizing cabin; a movable horn mouth is formed in the top of the inner cabin; the air guide curtain assembly is arranged in the inner cabin and comprises two groups of horizontal air channel roller shutters which are arranged in the inner cabin and can be unfolded or folded; the fan system, the horn mouth, the horizontal air channel roller shutter and the air guide curtain assembly are selectively started to form different closed wind environment modes, and simulation of a complex wind field coupled by multiple physical fields is achieved. The invention further discloses a simulation method using the complex environment wind field simulation equipment.

The application discloses a comprehensive linkage alarm system for fire hazards and structure instability of timber buildings, and relates to the technical field of timber safety monitoring, which comprises the following modules: a multi-dimensional heterogeneous signal acquisition module for collecting data and constructing real-time state monitoring data sets; a structure spectrum benchmark modeling module for constructing a thermal-rigidity attenuation theoretical model; a thermal-frequency correlation analysis module for generating a thermal-frequency deviation degree index; a structure state determination module for identifying timber pyrolysis states and structure instability risks; a cascade response module for executing corresponding fixed-point spraying control, evacuation path planning and alarm output; and a self-adaptive feedback correction module for warehousing data and correcting thermal aging parameters. The application establishes a correlation model of thermal and rigidity by fusing thermal imaging and vibration data, effectively eliminates environmental wind load noise, realizes accurate identification of internal hazards of timber buildings, and improves the accuracy of building monitoring and the efficiency of emergency response.

The present application provides a kind of snow drifting device applied to environmental wind tunnel, belong to the technical field of wind tunnel test equipment research.The purpose is to solve the problem of poor uniformity, low particle size control precision, easy to block, space size restriction in prior art.In the present application, mist droplet generation section, mixing section and snow treatment section are connected in sequence to form a wind tunnel;fan array, cooler and two-phase nozzle are installed in mist droplet generation section from bottom to top, mist droplet inlet and water inlet are communicated with two-phase nozzle through mist droplet water inlet pipe branch and mist droplet air inlet pipe branch respectively;screening snow grid is provided at the connection of mixing section and snow treatment section, snow sweeping mechanism is installed above screening snow grid, brush driving motor output is connected with driving shaft through reducer, and brush is provided on driving shaft;snow bearing net and movement mechanism are installed below screening snow grid.The present application solves the problem of poor uniformity, low particle size control precision, easy to block, space size restriction in prior art.

The application discloses a cooling triangular unit with transversely adjustable current equalizing device, which comprises a cooling triangular unit and a transversely adjustable current equalizing device, wherein the cooling triangular unit comprises left cooling columns, right cooling columns and an air inlet louver, and the transversely adjustable current equalizing device comprises a vertical fixing shaft, an upper horizontal slide, a lower horizontal slide, a roller shutter and a vertical moving shaft, and the transversely adjustable current equalizing device is vertically arranged along a vertical central symmetry plane of the cooling triangular unit. The cooling triangular unit with transversely adjustable current equalizing device can horizontally and transversely adjust the roller shutter along the slide according to the environmental wind speed and direction, and the roller shutter can be transversely adjusted to the outermost side of the cooling triangular unit at a small environmental wind speed, thereby playing a role of air side current equalization of the cooling triangular unit; the roller shutter can be transversely adjusted to the innermost side at a large environmental wind speed and a large air inlet inclination, thereby reducing the air inlet resistance of the cooling triangular unit and reducing the adverse effect of additional ventilation resistance of the current equalizing device; and the application has the characteristics of small resistance and intelligence.

The invention relates to the technical field of shield tunneling machine hoisting, and discloses an informatization monitoring device, system and method for shield tunneling machine hoisting, and the device comprises a supporting rod which is internally and movably provided with a connecting rod, and the top of the connecting rod is provided with a cross rod; the wind speed monitor is mounted on the top surface of the cross rod and is used for detecting the environment wind speed of the hoisting area; the camera is mounted on the bottom surface of the cross rod and is used for acquiring an environment image of the hoisting area; a monitoring system is arranged in the controller and used for analyzing data collected by the wind speed monitor and the camera, and a loudspeaker receives signals of the controller and gives an alarm. Hoisting area information is collected through the camera and the wind speed monitor, a monitoring system arranged in the controller is used for analysis, and the effect of dynamically adjusting the equipment track in a complex environment is achieved. Compared with the prior art depending on artificial experience or a single module, the problem that deviation caused by environment change is not corrected in time is solved, and the safety of hoisting operation is greatly improved.

The invention relates to the technical field of automobile testing, in particular to a method for testing long braking attenuation of an automobile by using an environmental wind tunnel. Comprising the following steps: installing a chassis dynamometer in an environment wind tunnel, and installing data acquisition equipment on a tested vehicle; setting a tested vehicle in the environment wind tunnel, setting environment parameters in the environment wind tunnel as target working condition parameters, and setting a chassis dynamometer as downhill working condition parameters; after the environment state and the dynamometer are stable, the vehicle is controlled to run continuously within the speed precision range required by the speed spectrum through continuous braking, or when the vehicle is controlled to run continuously to a set emergency deceleration point, emergency braking operation is executed, and experimental data are collected synchronously until a preset test ending condition is met; and after filtering and noise reduction, abnormal value elimination and altitude-slope conversion processing are carried out on the acquired experimental data, the performance attenuation law and the emergency efficiency of the braking system are analyzed. According to the technical scheme, the test precision of the long-braking attenuation of the automobile can be improved, and the test cost is reduced.

The invention belongs to the field of automobile testing, and relates to a calibration method for automobile winter heating by using an environmental wind tunnel, which comprises the following steps: S1, collecting an original dynamic road spectrum, and processing to generate a standard dynamic road spectrum for low-temperature calibration of the environmental wind tunnel; s2, operating the environment wind tunnel based on the standard dynamic road spectrum, acquiring an actual environment control value of the environment wind tunnel in real time, and judging whether the environment wind tunnel meets the winter heating calibration requirement or not according to a preset inspection rule; s3, an air conditioner heating system calibration test is executed in the environment wind tunnel according to a preset winter steady-state working condition matrix, and an initial heating control parameter table is generated; and S4, on the basis of test data corresponding to the initial heating control parameter table, constructing a system dynamic model, optimizing a strategy network in the system dynamic model through imitation learning and course reinforcement learning, and generating a complete heating control parameter table through optimized strategy distillation. The problems of poor comparability and repeatability of calibration data and insufficient calibration precision are solved.

The invention relates to an airborne laser three-dimensional scanner control method and system and a scanner, and relates to the technical field of scanners, and the method comprises the steps: collecting the environment detection information of a detection range; scanning movement parameters are obtained according to the detection range and the environment detection information; the environment wind speed is called from the environment detection information; obtaining scanning suspension power in combination with the environment wind speed, the scanning movement parameters and the scanning specification; comparing exceeding conditions of the scanning suspension power and the reference suspension power to calculate deviation suspension power; obtaining a escort number and an air curtain parameter based on the deviation suspension power, the scanning movement parameter and the scanning specification; and combining the scanning specification and the scanning movement parameter to obtain a scanning range, acquiring scanning information of the scanning range according to a scanner of the scanning unmanned aerial vehicle to refresh the air curtain parameter, and controlling the escort unmanned aerial vehicle with the escort number to cooperatively fly with the scanning unmanned aerial vehicle according to the air curtain parameter. The method has the effect of improving the scanning accuracy of the airborne laser three-dimensional scanner.

The invention provides a running test system, method and device based on artificial intelligence, and the system comprises a dynamic airflow sensing module, a sole biomechanics collection module, an electromyographic signal processing module, an AI cooperative calculation module, and a test result output module. The dynamic airflow sensing module is used for collecting environment wind speed, running relative speed and body posture angle and generating airflow related data, and the sole biomechanical collecting module is used for collecting sole peak pressure, contact time and contact angle and generating biomechanical data; the electromyographic signal processing module is used for collecting an electromyographic energy value and an electromyographic change rate and generating electromyographic data, and the AI cooperative calculation module is electrically connected with the dynamic airflow sensing module, the sole biomechanics collecting module and the electromyographic signal processing module. The running performance evaluation accuracy and the damage early warning timeliness can be improved.

The utility model relates to the technical field of energy storage devices, and discloses an energy storage device and an energy storage system.The energy storage device comprises a cabinet body, explosion venting plates and a smoke exhaust baffle, the cabinet body is provided with at least one energy bin, the explosion venting plates are arranged in the cabinet body, the explosion venting plates are arranged corresponding to the energy bins, the smoke exhaust baffle is arranged in the cabinet body, and the energy bins are arranged in the cabinet body. The smoke exhaust baffle is arranged in the energy bin and located on the peripheral side of the explosion venting plate, the smoke exhaust baffle is suitable for guiding substances discharged in the energy bin to be discharged in the discharging direction defined by the smoke exhaust baffle when the explosion venting plate is opened, and drainage holes are formed in the smoke exhaust baffle. According to the energy storage device, the smoke exhaust baffle is arranged, and the water drainage hole is formed in the bottom of the smoke exhaust baffle, so that on one hand, directional emission of high-pressure gas fire flow can be achieved, the influence of environmental wind on the high-pressure gas fire flow is reduced, the influence on surrounding energy storage devices is avoided, and potential safety hazards are reduced; the smoke exhaust baffle can be higher in stability and reliability and longer in service life.

The invention relates to the technical field of cooling tower energy efficiency control, in particular to a cooling tower dynamic energy efficiency optimization system based on artificial intelligence and a cooling tower. The system comprises a data acquisition module used for acquiring cooling tower operation with different historical environmental parameters; a single-cooling-tower environment influence analysis module constructs an environment adaptation weight model according to the influence of environment parameters on inlet and outlet temperatures and wind speeds of all cooling towers; the multi-cooling-tower coupling influence analysis module obtains influence factors by adjusting the actual air inlet temperature according to the temperature influence degree of the consistent condition of the inlet and outlet positions of the cooling towers and the environment wind direction; and the actual energy consumption adjusting module fuses the environment adaptation weight and the influence factor of the cooling tower based on the current environment parameter to obtain an adjusting coefficient adjusting power. The power of the cooling towers is adjusted by combining the environmental adaptation influence of the single cooling tower in different environments with the coupling influence of the fans of the multiple cooling towers, so that the cooperative stability of the multi-tower system is guaranteed while the operation efficiency of the single tower is improved.