17results about How to "Prevent disappearing" patented technology

The invention discloses a T-S fuzzy and TD3-based slow dynamic unknown coal-fired power generation system coordination control method, which comprises the following steps: firstly, decomposing a coal-fired power generation system into a fast subsystem and a slow subsystem by using a singular perturbation theory, and decomposing an original control task into a stabilization task of the fast subsystem and a tracking task of the slow subsystem; for the fast subsystem, a fuzzy set is selected on a definition domain of the fast subsystem by using the slow variation characteristic of steam pressure, and a T-S fuzzy model is constructed; a fast subsystem controller is obtained by solving algebraic Riccati equations corresponding to a plurality of linear systems. For a slow subsystem, a double-Q network is adopted to reduce overestimation of a Q value, a dynamic learning rate and a batch size adjustment mechanism are introduced to accelerate training convergence, and learning is carried out under a TD3 algorithm framework to obtain control input of the slow subsystem. The fast subsystem and the slow subsystem control inputs to be combined and then act on the original system to obtain state information at the next moment, and the intelligent agent interacts with the original system to complete collaborative optimization.

The utility model discloses a three-in-one water cup which comprises a cup body, a suction tube turning cover, a suction tube head, a drinking opening screw cover, a suction tube base, a one-way valve and a suction tube. A suction port, a direct drinking port and a first through hole are formed in the drinking port screw cap; the straw base is arranged at the bottom of the drinking opening screw cap, a hollow cavity is formed in the straw base, and the straw is communicated with the hollow cavity; the straw head is arranged in the straw turning cover and provided with a suction nozzle part, a first plug part, a second plug part and a straw part. When the suction tube flip cover is in an open state, a user can drink water through the direct drinking opening or the suction opening; when the suction tube turning cover is in a closed state, a user can drink water through the suction tube head; the one-way valve can isolate external gas from being introduced into the cup body from the suction tube base, so that the situation that liquid cannot be sucked out smoothly due to weakening or disappearance of suction force is prevented; the water cup is provided with three water drinking opening structures, the water drinking requirements of a user in different scenes can be met, one cup has multiple purposes, and the water drinking experience of the user is remarkably improved.

The utility model provides a sounding rod marked with scales. The sounding rod marked with the scales comprises a first rod body and a second rod body, a scale groove is formed in the front face of the first rod body, a limiting groove is formed in the front face of the first rod body, a marking sleeve is fixedly connected into the limiting groove in a sleeved mode, a fixing mechanism is arranged at the top of the first rod body, and a connecting mechanism is arranged at the bottom of the first rod body. According to the sounding rod marked with the scales, due to the fact that the limiting groove is formed, when a geological sounding test is carried out, the second rod body is inserted into the ground in a penetrating mode, and at the moment, the inserting depth of the second rod body can be marked through the limiting groove and the scale groove; the problem that the grouting depth of the second rod body is difficult to control due to the fact that the surface of the second rod body is smooth, the grouting depth has a large error, and the geological penetration test result has a large error is solved, so that the accuracy of the geological penetration test result is improved.

The invention discloses an intelligent wearable necklace for pet positioning, and relates to the technical field of pet necklaces, the intelligent wearable necklace comprises a fixing ring strap, two ends of the fixing ring strap are connected and fixed through a safety lock catch, an intelligent anti-lost device is fixedly connected to the outer side of the middle of the fixing ring strap, and a GPS positioning module is embedded in the intelligent anti-lost device; a storage inserting hole is formed in the center of the outer side of the intelligent anti-lost device, through the storage inserting hole and an ejection cover, the ejection cover can move along with the pet, the pet pulls the ejection cover to move, the ejection cover is attached to the ground and is easily clamped and fixed by gaps between branches and stones on the ground, and the pet is limited from further running about; the cloud server can give an alarm to the owner when the GPS signal disappears and notify the final disappearance position, so that the owner can find the pet conveniently, and the pet is prevented from being lost under the condition that the GPS disappears.

The utility model belongs to the technical field of hydraulic engineering, and particularly relates to a hydrogeological water level observation device which comprises a measuring cylinder, and further comprises a pull rod, a handle, a buoy, a balancing weight, a water permeable hole, a water level bin and a water drainage hole which are arranged on one side of the measuring cylinder, the measuring cylinder is slidably connected with the surface of the pull rod, one end of the pull rod is fixedly connected with the handle, and the other end of the pull rod is fixedly connected with the buoy. According to the device, the water level of a water source where the measuring cylinder is located can be read by placing the measuring cylinder in a water body and drawing the pull rod, and the mark can be prevented from disappearing after the measuring cylinder is taken out of the water body, so that a worker can read the position of the measuring cylinder and analyze the water quality in the measuring cylinder conveniently; according to the water level observation device, certain convenience can be provided for water level observation work, the height of the buoy and the height of the water level can be kept consistent through buoyancy brought by the buoy and the water body, and observed data can be more accurate.

The invention belongs to the technical field of counter-acting force driving, and particularly relates to a counter-acting force driving device which comprises a heightening seat, supporting plates, a driving plate, a counter-acting type conduction mechanism and a jacking type power generation mechanism, the supporting plates are symmetrically arranged on the upper wall of the heightening seat, the driving plate is arranged on one side of the heightening seat, the counter-acting type conduction mechanism is arranged on the supporting plates, and the jacking type power generation mechanism is arranged on the driving plate. The jacking type power generation mechanism is arranged on the driving plate, and the reaction type conduction mechanism comprises a positioning mechanism, a positive driving mechanism, a reverse driving mechanism and a force releasing mechanism. According to the counter-acting force driving device, the gravity block can be lifted through the elastic counter-acting force under the condition that the generating capacity is increased, and the gravity block is kept to work continuously.

The invention discloses a flash memory controller which is used for accessing a flash memory module. The flash memory controller comprises a buffer memory, a microprocessor and a counter. A partial area of the buffer memory is used for temporarily storing write-read command program codes associated with processing write-in or read-out in system internal program codes. The counter generates a count value in response to the number of times the microprocessor continuously receives write or read commands. Wherein the microprocessor sets a partial area of the buffer memory as a non-holding memory, and after a sleep command is received and when a count value is greater than or equal to a pre-designed value, the microprocessor sets the partial area of the buffer memory as a holding memory, then the flash memory controller enters a power-saving mode, and the non-holding memory is closed. The invention further discloses a control method of the flash memory controller and an electronic device applying the control method.

The invention relates to a pneumatic valve assembly and a pipeline system.The pneumatic valve assembly comprises a pneumatic valve, a valve switch feedback device and a flexible transmission shaft, the pneumatic valve comprises a valve body and an actuator, the valve body is used for being installed on a pipeline, and the actuator is connected with the valve body; the valve switch feedback device and the pneumatic valve are arranged at an interval and used for being installed on the fixing support, and the fixing support is fixed to the ground. The first end of the flexible transmission shaft is connected with a rotating shaft of the actuator, the second end of the flexible transmission shaft is connected with a feedback shaft of the valve switch feedback device, and the flexible transmission shaft is configured to enable the feedback shaft to synchronously rotate along with the rotating shaft. Due to the fact that the pneumatic valve and the valve switch feedback device are arranged at intervals, and the rotating shaft of the actuator is connected with the feedback shaft of the valve switch feedback device through the flexible transmission shaft, vibration generated by the pipeline is difficult to transmit to the valve switch feedback device. And the condition that the valve switch feedback device is influenced by pipeline vibration to generate faults or signal disappearance is avoided.

The invention provides an AR intelligent high-precision positioning navigation method, device and system. The method comprises the following steps: acquiring a target shot point of seismic acquisition operation selected by a user; aR navigation is started, the current GPS position of a user and the GPS position of a target shot point are positioned, and a marked three-dimensional pile body is generated at the position corresponding to the target shot point; estimating the step length and the step number of the user according to the acceleration data acquired by the acceleration sensor; determining the current orientation of the user according to the angle data acquired by the angular velocity sensor and the orientation data acquired by the orientation sensor; determining a path direction and a path distance from the current position of the user to the target shot point according to the current GPS position of the user and the GPS position of the target shot point; the user is guided to reach the position of the three-dimensional pile body; according to the method, the workload of measurement personnel can be reduced, environmental pollution and mark disappearance are avoided, rapid point selection and rapid and accurate navigation guidance are realized, the working efficiency is effectively improved, the working time is shortened, and the labor cost is reduced.

The invention relates to an oxygen vacancy-enriched potassium vanadate zinc ion battery positive electrode material as well as a preparation method and application thereof, and belongs to the technical field of aqueous zinc ion battery positive electrode materials. In order to solve the problem that oxygen vacancies introduced into a positive electrode material V2O5 are unstable in the battery circulation process, the invention provides an oxygen vacancy-enriched potassium-zinc vanadate ion battery positive electrode material which is potassium ion doped hydrated vanadium pentoxide. The high-stability oxygen-vacancy-enriched potassium vanadate zinc ion battery positive electrode material is obtained by accurately regulating and controlling the doping concentration and preparation process parameters, and the stability and the electrochemical performance of the material in the circulation process and the diffusion kinetics of zinc ions are improved. When the material is applied to the aqueous zinc ion battery, the material shows relatively high energy density and power density and excellent electrochemical performance and cycling stability, a test of 12000 cycles is carried out under the current density of 10Ag <-1 >, and the capacity retention rate after the cycles is close to 90%.

The invention relates to the field of remote monitoring, and discloses a remote monitoring system for smart city security management. In this scheme, an intelligent monitoring system is used. When an image analysis module detects that a monitoring picture is not clear, a cleaning module is started first to clean stains or rainwater on the surface of a lens. If the picture is still not clear, there may be an obstruction. A deflection module is started to adjust the direction of a fuselage. If it is still not clear, it means that a fault has occurred. An alarm module alarms, so that the monitoring can be adjusted and repaired in time to avoid a monitoring blind spot. When the cleaning module is running, a brush plate contacts a friction pad to generate static electricity, and the static electricity adsorbs dust on the surface of the lens. Then a conductive metal plate conducts the static electricity and the adsorbed dust falls off. In this way, dust on the surface of the lens is removed by static electricity without direct contact with the lens, so that the lens can be prevented from being scratched by dust particles, thereby extending the service life of the lens and ensuring the clarity of the monitoring image.

This application provides a training method, a spiking neural network, and an apparatus for a spiking neural network. The method includes: iteratively training the spiking neural network using training data of the object to be processed, wherein the spiking neural network contains at least one neuron model; calculating a task loss function based on the training results of the spiking neural network and updating the weight parameters; updating the current discharge threshold parameter of the neuron model based on the historical discharge frequency of the neuron model, wherein the value of the current discharge threshold parameter increases with the increase of the historical discharge frequency; and obtaining the trained spiking neural network model using the updated weight parameters and the updated discharge threshold parameter after multiple iterations of training. This method facilitates the training of a sparsely discharging spiking neural network, reduces the energy consumption during spiking neural network applications, and improves model energy efficiency by using the trained spiking neural network model to process the data of the object to be processed.

The invention discloses an HUD virtual image and real environment polarization matching detection method. The method comprises the following steps: when an HUD projects a virtual image, collecting a virtual polarization parameter set of a plurality of preset test points in an HUD virtual image picture; synchronously acquiring a real environment polarization parameter set of real environment light in corresponding directions of the plurality of preset test points; inputting the virtual polarization parameter set and the real environment polarization parameter set into a preset polarization matching degree evaluation model, and calculating a matching degree score of each preset test point; when at least one of the matching degree scores of the preset test points is lower than a preset threshold value, it is judged that the test points have polarization conflicts, and polarization conflict types and conflict position information are output. According to the method and the device, the visibility of the virtual image under the polarized sunglasses and the visual consistency of the virtual image and the real ambient light are ensured, so that the darkening, disappearance, glare and visual fatigue of the image are avoided, and the driving safety and the user experience are remarkably improved.

The invention discloses an off-grid direct wave time delay estimation method based on a deep learning algorithm, and relates to the field of ocean resource development, in particular to the off-grid direct wave time delay estimation method based on the deep learning algorithm. The objective of the invention is to solve the problem of poor precision of existing far-field direct wave time delay estimation. The process is as follows: an active sonar transmits signal data, and an array element receives the signal data and a time delay truth value label corresponding to the signal data; the processed signal data is obtained; obtaining a coarse estimation value of the direct wave time delay; calculating a difference value; obtaining a delay difference value after sparse processing; obtaining a trained time delay difference regression module network structure model; processing the array element receiving signal data to obtain processed signal data; outputting a feature vector based on the trained time delay difference regression module network structure model; processing the feature vector by using a peak searching function to obtain a time delay difference value; and adding the time delay difference value and the coarse estimation value of the direct wave time delay to obtain an estimation value of the received signal.

The present invention discloses a standard text classification method based on machine learning, which belongs to the field of data recognition technology, including adopting the BERT algorithm based on constrained attention to vectorize the standard text; adopting the generative adversarial network algorithm based on semantic focus to generate samples, thereby realizing the expansion of the standard text data after vectorization; and adopting the neural network algorithm based on perturbation fuzzy fusion to extract features and classify the standard text data after vectorization. The present invention uses an interactive attention mechanism and a dynamic context perception mechanism, so that the model can not only capture the semantic association within the text, but also better understand the relationship between the standard text and the classification task instructions, significantly improving the classification model's ability to understand the context. A generative adversarial network based on semantic focus is used to generate additional sample data, and the semantic quality and consistency of the generated data are ensured through a semantic refocusing mechanism, solving the problem of insufficient samples in the standard text classification task.

The invention relates to the technical field of image processing, in particular to a tunnel lining defect ground penetrating radar image enhancement method, medium and equipment, and the method comprises the following steps: constructing a data set; constructing a generative adversarial network model based on improved deep convolution; the obtained tunnel lining structure defect ground penetrating radar image data set is used for training in the constructed improved deep convolution-based generative adversarial network model, and hyper-parameters of a generator and a discriminator are continuously adjusted through a test result, so that the adversarial network model is globally optimal; and generating a tunnel lining structure defect ground penetrating radar image by using the improved deep convolution generative adversarial network model. According to the invention, the technical problem that the difference between the image generated by the existing image processing method and the real ground penetrating radar image is large for the ground penetrating radar image of the internal defect of the tunnel lining is solved.