335results about How to "Effective regulation" patented technology

The invention provides a production business mode construction method based on an industrial internet platform, and relates to the technical field of data processing, and the method comprises the steps: collecting multi-source data, and carrying out the preprocessing of the multi-source data; calculating the adaptation degree of the equipment and the task; dynamic influence parameters are extracted, and operation parameters in the equipment data are adjusted in combination with the adaptation result; constructing a weighted multi-objective function in combination with a completion time limit, a resource demand and a priority factor in the task data; generating a task priority sequence by solving the multi-objective function, and generating a task scheduling strategy according to the task priority sequence; in combination with the real-time state parameters in the equipment data, calculating the utilization efficiency of the equipment resources; performing priority ranking on the equipment according to the equipment resource use efficiency, and generating a resource allocation scheme through a segmented dynamic optimization algorithm; generating a production business mode according to the task scheduling strategy and the resource allocation scheme; according to the invention, the autonomy and accuracy of the production business mode are improved.

The invention discloses a fumigation treatment multi-parameter comprehensive monitoring system which comprises a multi-parameter sensor monitoring module, a multi-modal data processing and analyzing module, a system intelligent monitoring and adjusting module, a fumigation environment control module, a remote maintenance and management module and a system interaction and feedback module. The multi-parameter sensor monitoring module is used for collecting parameter data. The multi-modal data processing and analyzing module is used for fusing and analyzing data. The system intelligent monitoring and adjusting module is used for intelligently monitoring and adjusting fumigation strategies. The fumigation environment control module is used for adjusting environment parameters. The remote maintenance and management module is used for system maintenance and management. And the system interaction and feedback module is used for display interaction of data and a control state. According to the fumigation treatment multi-parameter comprehensive monitoring system, a multi-modal data fusion algorithm based on information channel decomposition is provided for multi-parameter data fusion and analysis; and a multi-parameter intelligent monitoring algorithm based on a multi-layer feedforward neural network is provided to intelligently monitor the fumigation environment.

The invention discloses a metasurface optical element and a design method, device and system thereof. The method comprises the following steps: acquiring sample data; processing the sample data based on the metasurface optical element under the current configuration parameters to obtain optical modulation data; inputting the optical modulation data into a prediction model to obtain a first prediction result; determining a loss function according to the first prediction result and the labeling information of the sample data; updating configuration parameters of the metasurface optical element according to the loss function, or updating both the configuration parameters of the metasurface optical element and model parameters of the prediction model until the loss function converges; wherein updating of the configuration parameters of the metasurface optical element comprises the step of shifting the position coordinates of the at least one nanostructure unit. According to the method provided by the invention, the nano-structure units can be freely distributed on the metasurface optical element and are not limited by the center position of a fixed grid region, so that the precision and flexibility of metasurface phase modulation are improved.

The invention relates to the technical field of path planning, and discloses an underwater desilting robot path planning method based on a digital twin model, which corrects an initial weight value by comprehensively considering a historical success rate factor, a meteorological influence factor, an underwater biological activity influence factor and a water flow influence factor based on an initial desilting path. And finally, selecting the initial dredging path with the maximum correction weight value as an optimized dredging path. By introducing a historical success rate factor, the method can learn and optimize from past dredging tasks, ensures that current path planning is based on static topographic map and historical task experience teaching and training, and improves the reliability of path planning. And according to the historical task success rate factors, which areas easily have problems in the past are identified, and the high-risk areas are automatically avoided when a new path is planned, so that the intelligence and adaptability of path planning are further enhanced. The underwater biological activity influence factors are considered, so that the robot can autonomously recognize and avoid the sensitive ecological area.

The invention relates to the technical field of vehicle control, and discloses a vehicle-mounted semantic standardization method, device and equipment, a medium and a product, and the method comprises the steps: obtaining a pre-trained large language model; obtaining a target original vehicle control command; obtaining a format template used for representing the target standard vehicle control command; forming a cue word according to the target original vehicle control command and the format template; and inputting the target original vehicle control command and the cue word into the large language model, and outputting the converted target standard vehicle control command through the large language model. Based on the ability of the large language model to directly understand the text meaning, the original vehicle control command and the standard vehicle control command are directly paired to generate the training sample of the text style, so that the training sample is input into the large language model for training, the threshold of model training is reduced, and the training efficiency and the training accuracy are improved; and high accuracy and high automation degree of vehicle-mounted semantic standardization are considered.

The present application discloses a load balancing control method and system for an energy storage device, and relates to the technical field of energy storage load regulation. The method first obtains the historical operating data of the target energy storage device, and pre-processes it through the first Gaussian processing method to generate the first operating data. Subsequently, the first modal decomposition method is used to further process these data to decompose the multi-scale time series components, thereby generating the second operating data. These data are further input into a hybrid neural network, which includes two parts: the first sub-network extracts the spatial features of the data, and the second sub-network performs time dependency analysis. Based on the first load control information generated by the network, a control strategy for the target energy storage device is formulated. The system can also collect environmental data in real time, and adjust the noise parameters based on these data to optimize data processing and prediction accuracy.

The invention relates to an ion regulation inhibitor for preventing slurry from covering, application and a lepidolite ore beneficiation method. The invention discloses an ion regulation inhibitor for preventing slime from covering. The ion regulation inhibitor comprises a starch inhibitor, a sodium salt inhibitor and a metal ion regulator. The invention provides application of the ion regulation inhibitor capable of preventing the slime from covering in ore dressing of lepidolite ore. The invention provides a beneficiation method of lepidolite ore. The beneficiation method comprises the following steps: adding water into ore powder of the lepidolite ore to prepare ore pulp; a pH regulator, a collecting agent and the ion regulation inhibitor are added into the ore pulp for roughing, and roughing concentrate and roughing tailings are obtained; the ion regulation inhibitor is added into the roughing concentrate for concentration, and lepidolite concentrate is obtained; and a collecting agent is added into the roughing tailings for scavenging, and flotation tailings are obtained. The problems that an existing lepidolite ore beneficiation method is large in lithium ore loss, low in beneficiation efficiency and complex in process are solved.

The utility model belongs to the technical field of strain culture, and particularly relates to a strain culture device which comprises a box body, a control panel is installed on the outer wall of the box body, a lead screw is rotatably installed between the inner walls of a sliding groove through a bearing, an output shaft of a stepping motor is fixedly connected with one end of the lead screw, a sliding block is assembled in the sliding groove, and the sliding block is fixedly connected with the lead screw through a bearing. Wherein a second grid plate is welded to one sliding block, a third grid plate is welded to the other sliding block, distance measuring assemblies are installed on the bottom wall of the second grid plate and the bottom wall of the third grid plate, each distance measuring assembly comprises an infrared generator and an infrared receiver, the second grid plate is driven by the sliding blocks to move vertically, and the third grid plate is driven by the sliding blocks to move vertically. The second grid plate drives the infrared generator and the infrared receiver on the second grid plate to vertically move; and when the interval data reaches a threshold value, the control panel controls the stepping motor to stop operating, adjustment of the distance between the second grid plate and the first grid plate is achieved, the height distance between the grid plates can be efficiently adjusted through the structure, and the distance adjusting performance can be improved.

The invention relates to the technical field of new energy regulation and control, and provides a photovoltaic energy storage system regulation and control method and system based on multiple time scales. The method comprises the steps that in a short time scale, if power grid frequency fluctuation exceeds a set threshold value, a photovoltaic energy storage system conducts regulation and control so that the power grid frequency can be stable; based on the meteorological data and the illumination intensity of the medium time scale, adopting an illumination intensity prediction model to predict the illumination intensity of the medium time scale in the future; based on the meteorological data, the illumination intensity and the power grid power-on data, predicting the power grid demand of the time scale in the future by adopting a power grid demand prediction model; if it is judged that the illumination intensity fluctuation range of the time scale in the future exceeds the key threshold value, the charging and discharging states of the photovoltaic energy storage system are adjusted in advance; and acquiring long-time-scale meteorological data, power grid load change and electricity price trend, solving by taking profit maximization as an objective function and a constraint condition, and outputting a solution for regulating and controlling charging and discharging of the photovoltaic energy storage system.

The invention discloses a distributed energy storage optimization scheduling method and system with the minimum peak-valley difference of a power distribution network, and the method comprises the steps: collecting power grid data, including load data and distributed energy storage data; establishing a distributed energy storage mathematical model, and analyzing distributed energy storage state parameters; the distributed energy storage devices are clustered according to the state parameters of distributed energy storage, K distributed energy storage clusters are obtained, and an equivalent centralized energy storage model is established for each cluster; and taking the equivalent centralized energy storage model as a control unit and taking the minimum peak-valley difference of the load of the power distribution network as a target function, and carrying out optimal scheduling on the charging and discharging power of the distributed energy storage. The method can reduce the variable dimension of the distributed energy storage, reduces the solving difficulty, facilitates the reasonable scheduling of the distributed energy storage, reduces the peak-valley difference of the operation of the power distribution network, guarantees the safe and stable operation of the power grid, and improves the utilization rate of the distributed energy storage in the regulation and control operation process.

The invention relates to the technical field of high-performance composite materials, and provides a frequency band magnetic control adjustable one-dimensional nanotube composite wave-absorbing material and a preparation method thereof.The material is composed of a one-dimensional tubular ferroferric oxide matrix and manganous-manganic oxide wrapping the outer side of the matrix, and directional arrangement is conducted through magnetic control rotation. The preparation method comprises the following steps: preparing an iron oxyhydroxide precursor through a hydrothermal synthesis method; the preparation method comprises the following steps: reducing an iron oxyhydroxide precursor by a liquid-phase pyrolysis method, and coating a manganous-manganic oxide shell layer in situ at the same time, so as to obtain a nanotube ferroferric oxide / manganous-manganic oxide composite material; and carrying out orientation arrangement on the nanotube-shaped ferroferric oxide / manganous-manganic oxide composite material through magnetic field control. According to the preparation method and the structural design, the yield, the uniformity, the magnetic performance, the electromagnetic wave absorption efficiency, the multi-band electromagnetic loss enhancement and the like of the material are remarkably improved.

The utility model relates to the technical field of polishing, and discloses a burr polishing device for steel plate machining, which comprises a polisher body, one end of the polisher body is connected with a lead, the output end of the polisher body is connected with a main rotating wheel, and the bottom of the other end of the polisher body is connected with a fixing rod. The bottom of the other end of the grinding machine body is movably connected with a rotating rod, the ends, away from the grinding machine body, of the fixed rod and the rotating rod are both rotationally connected with driven rotating wheels, grinding abrasive belts are installed between the two driven rotating wheels and the main rotating wheel, and the two driven rotating wheels and the main rotating wheel are each of an I-shaped structure. A tight supporting rod is connected between the fixed rod and the rotating rod; the burr grinding device for steel plate machining is small and exquisite in structure, an operator can conveniently hold and use the burr grinding device, meanwhile, the grinding device can be effectively adjusted, the cutting position and the surface of a steel plate can be subjected to direction changing so as to achieve effective grinding operation, and the steel plate machining and grinding efficiency and speed are effectively improved.

The invention discloses a remote operation and maintenance control method for a waste heat power generation variable working condition mode, and the method is based on a flue gas and air system, a flue gas and air turbine coordination model and a turbine system, and the flue gas and air turbine coordination model converts steam parameters outputted by the flue gas and air system into steam parameters inputted by the turbine system; the flue gas system comprises a first evaporation model, a second evaporation model and a steam pocket unit; the method comprises the steps of collecting historical data of a waste heat power station and constructing a flue gas and air system according to the following formula; the flue gas and wind turbine coordination model converts steam parameters output by a flue gas and wind system according to the following formula to obtain turbine steam parameters; constructing a steam turbine system according to the steam turbine steam parameters; extracting flue gas and air system data through a convolutional neural network to construct a flue gas change feature vector and a steam-water change feature vector; establishing a flue gas and wind turbine coordination prediction model according to the flue gas and wind change feature vector and the steam and water change feature vector; performing optimization training on the flue gas turbine coordination prediction model through a long short-term memory neural network; stable power generation of the waste heat furnace is guaranteed.

A modular immersed liquid-cooled energy storage battery thermal management system with an inverse opal structure surface relates to the field of energy storage battery thermal management, and is characterized in that a cooling liquid supply system feeds a cooling liquid into an immersion bin through a liquid inlet of the immersion bin at the foremost end, and the cooling liquid flows through a heat dissipation structure on the outer side of a battery monomer for heat exchange; and the cooling liquid after heat exchange flows into the next immersion bin through the liquid outlet of the immersion bin, sequentially passes through the immersion bins to exchange heat with the battery monomers, and then flows out from the liquid outlet of the immersion bin at the rearmost end. The heat dissipation structure can increase the heat exchange area with the cooling liquid and improve the heat exchange efficiency of the battery monomers.

The invention relates to the technical field of image processing, in particular to a training method of a semantic segmentation model and a semantic segmentation method and device. Comprising the following steps: acquiring and preprocessing tree-containing images, and constructing an image set; carrying out image segmentation based on a U-Net architecture, wherein the U-Net architecture comprises an encoder, a decoder and a jump connection; based on Dice coefficient loss and weighted cross entropy loss, determining a total loss function to optimize image background and tree category imbalance; the learning rate is adjusted in each training step through an Adam optimizer in combination with gradient first-order moment estimation and gradient second-order moment estimation, and learning rate attenuation adjustment of the Adam optimizer is achieved in combination with cosine annealing scheduling; and training the semantic segmentation model based on the configured Adam optimizer and cosine annealing scheduling until the semantic segmentation model is obtained through convergence. Therefore, based on the obtained semantic segmentation model, subsequent image segmentation processing application in an education robot can be facilitated.

The invention discloses a photovoltaic mounting structure for a photovoltaic base, and relates to the field of photovoltaic equipment, the photovoltaic mounting structure comprises a photovoltaic panel, an adjusting mechanism is mounted at the bottom of the photovoltaic panel, and a lifting mechanism is mounted at the bottom of the adjusting mechanism. According to the invention, after a second driving motor is started, a second worm drives a first special-shaped gear to rotate, then a photovoltaic panel is driven to rotate through a second rotating rod and a rotating block, azimuth angle adjustment is realized to maximize the sunlight irradiation efficiency, elevation angle adjustment is realized through a third worm and the second special-shaped gear, and a user operates a handle to rotate the third worm to maximize the sunlight irradiation efficiency. A second special-shaped gear is driven to rotate, then rotation of a second supporting frame is influenced through a limiting rod and a limiting roller, the elevation angle of the photovoltaic panel is changed, the energy conversion efficiency of the photovoltaic panel is improved through the whole adjusting system, the flexibility and reliability of the system are improved, an automatic and manual combined adjusting mode is adopted, manpower input is reduced, and the working efficiency is improved. And the adjustment efficiency is improved, and powerful support is provided for optimized operation of the photovoltaic panel.

The present invention discloses a special dietary beverage and a preparation method thereof that can adjust intestinal flora, belongs to the technical field of special dietary beverage preparation, and includes the following components in parts by weight: 200-400 parts of water, 10-30 parts of oligofructose, 10-30 parts of spirulina powder, 5-20 parts of flaxseed powder, 5-20 parts of wolfberry concentrated juice, 1-5 parts of monk fruit extract, 1-5 parts of inulin, 15-20 parts of whey protein, 5-15 parts of green tea extract, 15-30 parts of selenium-rich protein peptides, 5-20 parts of probiotic microcapsules, 0.3-3 parts of potassium sorbate, 0.3-3 parts of sodium benzoate, 0.1-0.5 parts of citric acid and 0.1-2 parts of sodium ascorbate. The special dietary beverage of the present invention integrates a variety of nutrients and prebiotics, which can promote the growth of intestinal probiotics, regulate blood sugar and reduce cholesterol. The microcapsules prepared by the present invention enhance the colonization ability of probiotics and maintain the balance of intestinal microecology while protecting probiotics from digestive damage. Neomethylhesperidin dihydrochalcone improves the taste, avoids the bitter aftertaste of common sweeteners, and removes the unpleasant taste of metal ion additives.

The invention provides a training method of a lightweight Chinese-English bilingual large language model. The method comprises the following steps: step 1, collecting and preprocessing Chinese-English training data; step 2, carrying out pre-training; step 21, performing text word segmentation; step 22, text coding; step 23, rotation position coding: rotation position coding in an attention layer is adopted in an input layer; step 24, setting an attention mechanism, a residual network, a standardization layer, a full-connection network output layer and an autoregressive training mode; step 25, selecting pre-training data; step 26, carrying out pre-training; each batch is input in a Chinese and English data crossing mode, that is, one piece of data is sampled from each of English data and Chinese data in a crossing mode until the size of the training batch is reached, and then the data is input into the model for training. And step 3, instruction fine tuning training. The method is extremely high in flexibility and adaptability.

The invention provides an energy storage block stacking and positioning method and system, and relates to the technical field of energy storage block stacking and positioning.The method comprises the steps that platform carriages of a train are scanned to recognize the boundary of each platform carriage; according to the boundary of each flat carriage, boundary points of the preset stacking area are determined; according to the physical limitation of the hoisting clamp and the characteristics of a preset stacking area, the position and angle adjusting range of the clamp is determined, and the position and angle adjusting range comprises the coordinates of the clamp in the three-dimensional space and the rotating angle of the clamp; a population is initialized in which each individual in the population represents a set of candidate solutions for fixture positions and angles. By means of intelligent positioning and adjusting, accurate stacking of the energy storage blocks in the train flat plate carriage is achieved, the operation efficiency and accuracy are improved, meanwhile, safe resetting of hoisting equipment is ensured, and convenience is provided for continuous operation.

The invention relates to the technical field of data model construction, in particular to a construction method of an integrated model for bacterial detection. The method comprises the following steps: acquiring a bacteria original data set; performing data denoising on the original bacteria data set to obtain to-be-detected bacteria data; pre-classifying the to-be-detected bacterial data to obtain pre-classified bacterial data; performing data batch identification on the pre-classified bacterial data to obtain to-be-detected batch data; performing batch deviation detection on the to-be-detected batch data to obtain bacteria batch deviation data; performing batch correction on the to-be-detected bacteria data according to the bacteria batch deviation data to obtain bacteria correction data; through the data processing technology, the feature mapping technology, the intelligent feedback technology and the self-adaptive adjustment technology, the generalization ability of the integrated model for bacteria detection is enhanced, so that the to-be-detected data of bacteria are rapidly detected and responded, and the bacteria detection efficiency and accuracy are improved.

The invention belongs to the technical field of building cooling load prediction, and discloses an airport terminal cooling load prediction method and a related device, and the method comprises the steps: collecting main influence index real-time data affecting the terminal cooling load prediction; inputting the collected main influence index real-time data influencing the airport terminal cooling load prediction into the ISSA-GRNN-GRU hybrid prediction model, and outputting to obtain an airport terminal cooling load prediction result; wherein the construction process of the ISSA-GRNN-GRU hybrid prediction model comprises the following steps: acquiring influence constituent element data of terminal building cold load prediction, and training and combining a pre-constructed generalized regression neural network and a pre-constructed gating circulation unit neural network by adopting an improved sparrow search algorithm to obtain the ISSA-GRNN-GRU hybrid prediction model; the overall prediction error can be reduced, and the reliability of the prediction result is improved.

The present application relates to a temperature control method, device and computer equipment for a battery pack. The method comprises: determining the working state of the battery cell of the battery pack at the current moment; obtaining the temperature information of the battery cell at the current moment, and determining the target control mode corresponding to the battery cell at the current moment and the target preset temperature matching the target control mode according to the working state and temperature information; determining the first liquid temperature corresponding to the temperature regulating liquid at the current moment according to the temperature information and the target preset temperature; obtaining the temperature control condition corresponding to the target control mode, and determining the second liquid temperature corresponding to the temperature regulating liquid at the current moment based on the first liquid temperature and the temperature control condition; the temperature regulating liquid of the second liquid temperature is used to adjust the temperature of the battery cell at the current moment. The method can adjust the temperature control strategy in real time according to the battery cell temperature and working state.

The invention discloses a method for preparing 2, 5-furandicarboxylic acid through selective catalytic oxidation of 5-hydroxymethylfurfural by using a nano-microstructured multi-metal oxide, which comprises the following steps: mixing different metal salts and an alkaline additive in a solvent, and preparing 2, 5-furandicarboxylic acid by using the characteristics of excellent dissolving capacity and diffusion performance of the solvent in a subcritical state. According to the method, metal ions are fully contacted and rapidly crystallized in subcritical fluid, the temperature and pressure in the reaction process are regulated and controlled to regulate and control the microstructure of the multi-metal oxide, so that multi-metal active sites are excited, and then roasting is performed to prepare the multi-metal oxide catalyst. And the 5-hydroxymethylfurfural can be efficiently and selectively converted into the 2, 5-furandicarboxylic acid under alkaline and aqueous solution conditions. The catalyst prepared by the method has the advantages of high dispersity, strong controllability and rapid crystallization. Compared with a noble metal catalyst, the multi-metal oxide catalyst prepared by the method disclosed by the invention is relatively low in cost, high in stability, recyclable and wide in application environment.

The invention discloses a power distribution network distributed resource emergency voltage regulation method based on hierarchical interactive multi-dimensional dynamic aggregation, and the method comprises the following steps: S1, obtaining the values of priority indexes of various distributed resources according to the voltage regulation cost and tracking response characteristics of the distributed resources in a power distribution network; s2, sorting the various distributed resources according to the values of the priority indexes of the various distributed resources; s3, performing a lower-layer aggregation strategy; carrying out self-organizing aggregation on various distributed resources according to a priority ranking result, responding to a voltage regulation demand after a formed aggregation unit receives a scheduling command, and continuously adjusting a distributed resource scheduling scheme of the aggregation unit; s4, performing an upper-layer adjustment strategy; performing optimization regulation and control on the voltage of the whole power grid according to the real-time data adjusted by the lower-layer aggregation strategy; and S5, feeding back the whole power grid real-time data obtained after the upper-layer adjustment strategy is carried out to S3, and carrying out the next round of lower-layer aggregation strategy to form a dynamic closed-loop nested regulation and control mechanism.

The utility model discloses artificial intelligence interactive terminal equipment which comprises a terminal machine body, a display screen, a typing area and a multifunctional visual device. The multifunctional visual device is arranged at the top of the terminal main body, the electric push rod pushes the image acquisition module out of the accommodating cavity by shifting the control switch downwards, and in the process, a user can adjust the specific angle of the image acquisition module according to the height condition of the user so as to adapt to user groups with different heights, so that the user experience is improved. The light supplementing lamp is arranged on the front side face of the image collecting module, the light supplementing lamp can conduct environment lighting, the action recognition success rate is increased, a user can confirm the image collecting range of the lens according to light of the light supplementing lamp, and therefore the angle of the image collecting module can be adjusted more effectively.

The present invention discloses a fermentation tank pressure adaptive adjustment device, which relates to the technical field of pressure control and adjustment. The device comprises: receiving fermentation task information of the fermentation tank; extracting the qth fermentation pressure control scheme and the qth fermentation material information corresponding to the qth fermentation node; obtaining the qth fermentation environment prediction information; predicting the fermentation loss of the qth fermentation pressure control scheme, and obtaining the qth fermentation loss prediction index; optimizing and adjusting the qth fermentation pressure control scheme, and generating the qth optimized fermentation pressure control scheme; and adjusting the pressure of the fermentation tank retroactively. The device solves the technical problem that the existing fermentation tank pressure adjustment is difficult to accurately extract the information characteristics of the fermentation node in the face of a complex and changeable fermentation process, which leads to the inability to accurately adjust the pressure in the tank in real time, resulting in poor fermentation efficiency and quality, and realizes efficient and accurate control of the fermentation process, achieving the technical effect of improving fermentation efficiency and stability.

The invention relates to the technical field of medical instruments, and provides an endoscopic surgical robot system which comprises a remote control device, a mobile robot and an endoscopic robot. The mobile robot comprises a trolley, a mechanical arm and a force sensor, and the mechanical arm is movably mounted on the trolley; the endoscope robot comprises a box body, a first driving part and a second driving part, the box body is installed at the tail end of the mechanical arm, an endoscope is installed on the box body, the first driving part is used for driving the endoscope to rotate, and the second driving part is used for driving the endoscope to bend; the remote control device is in communication connection with the first driving part, the second driving part and the mechanical arm, and after the mechanical arm drives the endoscope to move to the first target position, the remote control device controls the mechanical arm, the first driving part and the second driving part so that the endoscope can enter the target position in the human body. According to the endoscopic surgery robot system, through a man-machine cooperative control mode, a user can efficiently implement an endoscopic surgery, and a focus can be accurately positioned and treated.

This application relates to a lightweight AI glasses using a Micro LED optical engine module, belonging to the field of AI glasses technology. The lightweight AI glasses using a Micro LED optical engine module include a frame and temples. One end of the temples is rotatably connected to the frame. A limiting portion is also provided at the end of the frame. A first adjustment mechanism is also provided on the frame. The first adjustment mechanism includes an abutment frame and a fixing component. The abutment frame is located at one end of the temple near the frame, and one end is rotatably connected to the temple. The limiting portion is located on the displacement path of the other end of the abutment frame when it rotates with the temple. The fixing component is used to fix the abutment frame after rotation. This application improves the comfort of the user when wearing the lightweight AI glasses.

The present application relates to the technical field of smart grid, especially to a kind of intelligent power distribution cabinet with fault detection function and detection method.The present application can accurately obtain state data and analyze state data by obtaining unit and data analysis unit;Multiple AI analysis models in edge computing unit can accurately analyze equipment state results, and can improve the efficiency of power distribution cabinet fault detection;Through the decision unit, multiple equipment state results are fused using the preset rules to obtain accurate fault information, and the execution module in the control unit is driven based on the accurate fault information to act;Finally, the analysis unit determines the fault detection state based on the fault suppression success rate within the preset period, and adjusts the corresponding parameters based on the fault detection state, so as to more accurately analyze the fault.The present application improves the fault detection efficiency of power distribution cabinet.

The utility model relates to a kind of intelligent environmental cabin air speed regulating devices with wind speed real-time feedback, it includes the mobile frame being set in environmental cabin, the wind resistance component being set in the both sides and top of mobile frame and the several wind speed sensors corresponding with warm body dummy installed in mobile frame;The reel assembly of adjusting wind resistance component is installed on mobile frame;Three wind speed sensors provide real-time data that truly reflect the wind speed condition of working area, the wind speed of warm body dummy working area in environmental cabin is controlled in 0.3-0.5m / s range by wind resistance curtain barrier, both can effectively regulate wind speed, and also ensure the full permeability to air, maximum limit reduces the interference to original temperature and humidity field uniformity and control accuracy of environmental cabin, realizes the synchronous standard of wind speed and temperature and humidity.