28results about How to "Convenient for dynamic adjustment" patented technology

The invention relates to a closed-loop multi-guide multi-mode time domain interference electrical stimulation system and method. The method comprises the steps that a software part determines stimulation parameters; the automatic electrode position adjusting device adjusts the spatial position of the multi-conductive-electrode device, and the multi-conductive-electrode device stimulates the position of a target spot; the current output precision and impedance monitoring module monitors the precision and impedance information of electrode output current, and the core main control and functional circuit module adjusts a control signal according to the precision and impedance information; when the multi-conducting-electrode device conducts stimulation, the electroencephalogram device synchronously collects electroencephalogram signals and uploads the electroencephalogram signals to the electroencephalogram analysis algorithm module of the software part, the electroencephalogram analysis algorithm module evaluates and feeds back the effectiveness and the effect of stimulation, and the time domain interference electrical stimulation function module and the target area dynamic adjustment algorithm module optimize stimulation parameters according to the effectiveness and the effect of stimulation. Through the arrangement, a real-time closed-loop feedback control system is formed, continuous monitoring, real-time optimization and adjustment of electrical stimulation parameters and dynamic adjustment of a stimulated brain target region are realized, and the accuracy and safety of current output are ensured.

The invention relates to the technical field of resource allocation management, in particular to a first-aid medical resource allocation management method and system, a medium and a product, and the method comprises the steps: obtaining call-for-help appeal information, and determining first-aid preparation information based on the call-for-help appeal information, the first-aid preparation information comprising a first-aid route and first-aid vehicle-mounted resources; carrying out patient receiving and transporting based on the first-aid preparation information, and collecting real-time road condition information, patient sign information and patient medical history information in the receiving and transporting process; adjusting a first-aid route based on the real-time road condition information and the physical sign information of the patient, and recording receiving and transporting driving information; real-time hospital rescue resource information is acquired, and on-site medical resources and resource preparation time are determined based on the real-time hospital rescue resource information, the patient sign information and the patient medical history information; on-site preparation information is determined based on the on-site medical resources and the resource preparation time. According to the invention, rationality and accuracy in a first-aid medical resource allocation process can be improved, so that a patient can be ensured to be timely and effectively rescued.

The invention discloses a traditional Chinese medicine plant combination anti-hair loss and hair growth formula optimization method based on a neural network algorithm, and the method comprises the following steps: S1, collecting hair health data of a user, and building a personalized health file; s2, based on the health record, analyzing the physiological and psychological states of the user in real time, and establishing an emotion-hair growth feedback mechanism to evaluate the risk of alopecia; s3, analyzing the health archive by using a deep neural network, predicting an alopecia trend and generating a personalized alopecia prevention and hair growth scheme; s4, matching optimal plant components and proportions through a neural network optimization model, and dynamically adjusting a pharmacodynamic model; s5, adaptively adjusting the plant formula proportion through a quantum neural adaptability learning mechanism; s6, simulating different formula effects through the virtual test platform, optimizing the formula and feeding back to the health file; and S7, forming a closed-loop feedback mechanism through continuous user feedback and physiological monitoring results, and regularly optimizing the formula. Through personalized analysis and dynamic adjustment, an accurate anti-hair loss and hair growth solution is provided.

The invention relates to the technical field of multi-core optical fiber connection, and provides a multi-core optical fiber high-efficiency plugging type micro-connection structure system and a connection method thereof.The system comprises a multi-core optical fiber connector body, an optical fiber plugging terminal, an optical fiber alignment auxiliary terminal and an optical fiber dynamic correction terminal; the multi-core optical fiber connector body is used for being connected with an optical fiber core of a multi-core optical fiber; the optical fiber plugging and unplugging terminal is used for realizing plugging and unplugging operation of the multi-core optical fiber connector body and the butt joint seat and simultaneously realizing mechanical alignment of the multi-core optical fiber connector body and the butt joint seat; the optical fiber alignment auxiliary terminal is used for assisting the multi-core optical fiber to realize micron-order alignment in the connection process through positioning and dynamic adjustment; the optical fiber dynamic correction terminal is used for correcting optical fiber connection offset caused by temperature change, stress and manufacturing errors in real time and maintaining the stability of the system. The method has the effect of improving the connection quality of the multi-core optical fiber.

The present invention discloses a 3D calibration effect evaluation method of a 3D camera and a computer storage medium, belonging to the field of image processing, the method comprising: S100: setting a display screen, displaying a black and white checkered picture on the display screen; S200: setting a 3D camera, the 3D camera having two identical CMOS image sensors and lenses, shooting two black and white checkered pictures through the two identical CMOS image sensors and lenses; S300: performing image processing and superposition on the two shot black and white checkered pictures, and outputting the superimposed pictures to the display screen; S400: judging whether the effect of 3D calibration reaches the expected value based on the superimposed pictures displayed on the display screen. The present invention superimposes the images of the two image sensors in real time and observes the black and white checkered pictures, without waiting for a long time, thereby improving the accuracy and timeliness of the 3D calibration effect evaluation.

The present invention provides a multi-objective optimized roadside unit networking deployment method in a smart transportation system. The method comprises: obtaining the road network data of the target area; analyzing the communication performance of the roadside unit RSU in the target area according to the road network data of the target area, and obtaining the RSU coverage distance data; constructing a MOP-based RSU deployment problem model based on cost and total vehicle coverage time according to the RSU coverage distance data in the target area, and using the NSGA‑II algorithm to solve the MOP-based RSU deployment problem model to obtain the RSU networking deployment strategy in the target area. The present invention designs a multi-objective RSU networking deployment strategy based on the NSGA‑II algorithm, which can achieve a higher total vehicle coverage time with the smallest possible deployment cost investment, and provides a series of deployment solutions that meet the requirements for the RSU networking deployment project, which can be selected and dynamically adjusted according to actual conditions.

This invention discloses a test strategy adjustment method, apparatus, electronic device, and storage medium. The method includes: acquiring a defect trend curve of the module under test; analyzing the defect trend curve to determine its concavity / convexity; and adjusting the test strategy based on the concavity / convexity. This solves the problem of not being able to perform testing based on the actual implementation quality of the project during development. By analyzing defects that occur during testing, the test strategy can be reasonably adjusted, achieving dynamic adjustment of the test strategy during testing. This allows for better defect detection, timely adjustment of test strategies, optimization of test resource allocation, decoupling of testing experience from test quality, and making test quality more standardized.

The invention belongs to the technical field of Internet of Things data security, and provides an Internet of Things data confidentiality reading method and system based on a block chain, traced key fragments in a plurality of key fragments on the block chain are analyzed, the overall leakage difficulty degree of the multi-key fragments is evaluated, and for a storage hard disk with a relatively low leakage difficulty evaluation value, the leakage difficulty of the storage hard disk is evaluated. For a hard disk with high risk, key management needs to be enhanced, when a multi-key fragment easy-to-divulge signal is generated, a reference time consumption interval is acquired, and dynamic delay optimization operation is performed on time consumption for reading the traced key in the whole multi-key fragment according to the reference time consumption interval, so that the time consumption of the traced key in the whole multi-key fragment is reduced, and the time consumption of the traced key in the whole multi-key fragment is reduced. According to the method, different traced key fragments are endowed with different delay adjustment amounts according to the traced reading delay adjustment interval, the reading time consumption difference is increased, and the analysis and prediction difficulty of an attacker is increased, so that attack behaviors are effectively resisted, and the confidentiality of Internet of Things data in a block chain environment is guaranteed.

The invention relates to the technical field of ship anti-freezing, and discloses a floating type anti-freezing device of a broadside liquid tank, the floating type anti-freezing device comprises a vent pipe base device, a floater heating device body and a tank wall fixing device, the vent pipe base device is arranged on the top of the broadside liquid tank, the floater heating device body is detachably connected to the vent pipe base device, and the tank wall fixing device is arranged on the floater heating device body. The bulkhead fixing device is arranged on the side wall of the broadside liquid tank, the bulkhead fixing device comprises an active cable winding and unwinding mechanism, the active cable winding and unwinding mechanism is connected with a floater heating device body, and a positioning system is arranged on the floater heating device body. Based on the actual operation condition of the ship, the large-range anti-freezing target of the whole cabin is focused to the free liquid level and local anti-freezing of the vent pipe, arrangement of a large number of heating coils is reduced, limited heat source consumption on the ship is greatly reduced, the operation cost of the whole ship is saved, and the technical level of ship design is improved.

The present invention relates to the field of network segmentation technology, specifically a VLAN division and independent network card interface system for high-speed signal connection switch, the system includes a network status monitoring module, a graph neural network analysis module, a VLAN dynamic configuration module, a reinforcement learning optimization module, a prediction model module, an ACL rule generation module, a game theory optimization module, and an event-driven adjustment module. In the present invention, the use of a graph neural network model not only analyzes the complexity characteristics of the network structure, but also optimizes the dynamic adjustment of the VLAN configuration, so that it can match the changes in the network topology in real time. The introduction of deep reinforcement learning methods effectively improves the performance and security of the network through a reward mechanism. Time series analysis and machine learning methods enable the system to predict future network access modes and configuration requirements. The application of game theory methods provides an optimal combination solution for multi-network segmentation strategies, and complex event processing technology realizes effective monitoring and response to real-time network events.

This invention discloses a high-temperature solid particle interseasonal thermal storage system, comprising a vertical silo body, a closed gas circulation loop, and a heating device. The vertical silo body is filled with a solid particle thermal storage medium, which is surface-modified and coated with a nano-alumina coating. It also includes a multi-component composite insulation structure covering the silo wall, consisting of, from the inside out, a high-alumina refractory brick layer, a ceramic fiber blanket buffer layer, a nano-aerogel felt layer, and a microporous calcium silicate board layer. A sloped temperature layer control module is used to calculate the position and thickness of the sloped temperature layer in real time based on an effective thermal diffusivity model, maintaining the sloped temperature layer thickness within a set range. A multi-scale simulation prediction control unit is used to predict the sloped temperature layer trajectory in advance and calibrate and update the effective thermal diffusivity model. This invention enables large-scale, long-term (half-year) interseasonal thermal storage at the GWh level, while ensuring stable heat release temperature and minimal heat loss.

The invention relates to the field of smart parks, and provides a park personnel passing management method and device, and a storage medium. The park personnel passing management method comprises the steps of determining the number of gathered people at an association position based on first video information acquired by video acquisition equipment arranged at the association position of a target entrance and exit under the condition that the target people flow at the target entrance and exit of a park is greater than a preset early warning flow threshold, the distance between the associated position and the target entrance is smaller than a preset distance threshold; correcting a preset passing speed based on the target people flow and the gathered people number to obtain an expected passing speed; and generating passing prompt information based on the expected passing speed. Through adoption of the scheme, the traffic speed can be predicted in combination with the target pedestrian flow and the number of gathered people at the associated position under the condition of monitoring that the pedestrian flow at the target entrance and exit is relatively large, and the traffic prompt information is generated based on the expected traffic speed, so that a user can be better assisted to pre-judge the traffic state at the target entrance and exit.

The present invention discloses a tobacco-based big data management method, which relates to the technical field of intelligent management, including matching seller information according to the seller name, establishing a consumer database according to customer tags, calculating the seller's confidence, building a monitoring model, and testing the monitoring model, calculating the distribution ratio of the producer's information, generating a planting distribution strategy, matching the optimal transportation scheduling route and the number of transport vehicles, tracking the path of the transport vehicle, and issuing a transportation warning signal. The beneficial effects of the present invention are: by dividing the management area and the numbered sub-area, the overall efficiency and productivity are improved, a consumer database is established, and customer satisfaction and loyalty are improved. Through the monitoring model, it is beneficial to the security and stability of transactions, the planting distribution strategy is formulated, the waste of resources is reduced, the path of the transport vehicle is tracked in real time, the distribution efficiency is improved, and the safety and timeliness of the goods are guaranteed.

The invention provides an air conditioner and a control method and device thereof, a storage medium and a computer program product, and the method comprises the following steps: determining a target operation frequency of the air conditioner obtained according to a first control model according to a first temperature difference between an indoor temperature and a set temperature every preset frequency control period, or obtaining the target operation frequency of the air conditioner according to the second control model; according to the second temperature difference between the indoor temperature and the set temperature, the target rotating speed of an inner fan of the air conditioner obtained according to a third control model or the target rotating speed of the inner fan of the air conditioner obtained according to a fourth control model is determined every preset inner fan control period; and controlling a compressor of the air conditioner to operate according to the target operating frequency obtained according to the first control model or the second control model, and controlling an inner fan of the air conditioner to operate according to the target rotating speed of the inner fan obtained according to the third control model or the fourth control model. According to the scheme, mutual interference between the temperature control loop and the humidity control loop of the air conditioning system can be reduced.

This invention belongs to the field of medical device technology and discloses a universal distraction and reduction device for metaphyseal fractures, including a connecting cylinder and a limiting cylinder. The connecting cylinder and the limiting cylinder are connected to several connecting frames. The connecting cylinder and the limiting cylinder are rotatably connected to a nut. The nut is threadedly connected to a distraction rod. The distraction rod is rotatably connected to a worm gear. The worm gear is connected to a transverse connecting structure. The transverse connecting structure is movably connected to a needle holder. The needle holder is detachably connected to a needle. This solution achieves precise "universal" reduction of the metaphysis through multi-degree-of-freedom adjustment, including axial extension, planar rotation, sliding, and arc-shaped trajectory. It is flexible in operation and features a self-locking and double-locking structure to ensure intraoperative stability and reliability. The symmetrical arc-shaped groove design conforms to anatomical morphology and adapts to different left and right access methods, significantly improving surgical efficiency and reduction quality.

The invention relates to the technical field of train obstacle detection, and discloses a train passive obstacle detection method, which comprises the following steps of: installing a train obstacle detection device at the front end of a first bogie of a train head; collecting displacement information of a train obstacle detection device; judging whether the train collides with the obstacle or not according to the displacement, and if yes, judging the collision level of the train according to the displacement; constructing a displacement variation sequence according to the displacement variation in unit time when the collision occurs, and adjusting the collision grade of the train according to the displacement variation sequence; calculating a displacement change rate according to the displacement change quantity sequence, constructing a displacement change rate sequence according to the displacement change rate, and calculating an impact strength grade of the obstacle according to the displacement change rate sequence; comprehensively evaluating the collision degree according to the collision grade and the collision strength grade, and performing final collision early warning according to the collision degree. The obstacle detection accuracy is improved.

The embodiment of the invention relates to the field of aviation agent configuration, and discloses an NDC-based agent configuration method, system and device and a storage medium, and the method comprises the steps: obtaining an NDC agent configuration information table; checking the NDC agent configuration information table; according to the NDC agent configuration information table, authorization information distribution is carried out on the agents; judging whether the NDC agent needing information configuration is a new user or not; when the NDC agent needing information configuration is a new user, account registration is carried out; and when the NDC agent needing information configuration is an old user or a new user completes account registration, configuration addition and permission opening are carried out based on the NDC agent configuration information table. According to the method, the problem of human errors occurring during data arrangement and SQL generation is reduced in a configuration table uploading mode, automatic error detection is carried out by the system, and the problem is found and changed more quickly.

The invention relates to the technical field of network security, in particular to a network security monitoring system based on artificial intelligence, which comprises a data preprocessing module, an anomaly detection module, a fault mode learning module, a threshold dynamic adjustment module, an attack source positioning module, a behavior analysis and identification module, a decision support module and a recovery strategy optimization module. According to the method, the abnormal state can be efficiently identified through the isolation forest algorithm and the self-encoder model, the learning of the fault mode is deeper through the application of the long and short-term memory network, and the precise attack source positioning is realized through the combination of the self-regression differential moving average model and the graph database query technology; the accuracy of attack pattern recognition is improved by introducing the convolutional neural network and the graph neural network, the security decision is more scientific and reasonable by applying the analytic hierarchy process and the support vector machine algorithm, and the resource allocation and recovery strategy are optimized by using the genetic algorithm and the particle swarm optimization algorithm.

The invention discloses an industrial and commercial energy storage system and controller for battery and energy management, and relates to the technical field of energy management, and the industrial and commercial energy storage system comprises a battery information acquisition module, a factory charging energy storage analysis unit, a factory charging power processing unit and a local database. The mode of combining the station controller and the cluster controller is used, the original design of EMS + BMS + local controller + multiple switches is replaced, the design of the control system is optimized, the number of modules and the interface complexity are reduced, meanwhile, the LAN + CAN communication mode of the original system is replaced with the full-system LAN communication design, the real-time performance and efficiency of the system are improved, and in the charging process, the real-time performance of the system is improved. According to the method, the charging battery clusters of the liquid refrigerators of the station controller to which the factory belongs are monitored in real time, and the charging input power of the charging battery clusters of the liquid refrigerators of the station controller to which the factory belongs is dynamically adjusted, so that the occurrence rate of the problem of overlong charging time is reduced, and the battery use efficiency of the factory is improved.

The invention relates to a page display method and device, equipment and a storage medium. The method comprises the following steps: displaying an information interaction control on a playing page of a video; in response to a video switching instruction triggered on the playing page, displaying a questionnaire page corresponding to the information interaction control; the questionnaire page comprises feedback questions describing interaction willingness of the current account to the information interaction control; and in response to a reply instruction triggered for the feedback question in the questionnaire page, displaying the feedback question and reply information for the feedback question in the questionnaire page. In response to the video switching instruction, the feedback problem for the information interaction control is displayed in the questionnaire page, so that the diversity of contents displayed on the questionnaire page is improved; and whether the current account will interact with the information interaction control or not can be determined according to the reply information of the feedback problem displayed on the page, so that the display frequency of the information interaction control can be dynamically adjusted.

The present invention discloses a maintenance dispatching method, device, equipment and storage medium based on hierarchical clustering. The method includes: dividing the maintenance area into multiple sub-areas, and periodically performing the following steps: obtaining the order information of the current undispatched order; obtaining the number of shared order pairs between any two sub-areas based on the order information; constructing a spatial sharing graph, taking the sub-areas as vertices, and taking the number of shared order pairs of the two vertices as the weight of the connecting edge of the two vertices; clustering in the spatial sharing graph to form a sub-graph set, and in the clustering process, the cumulative sum of the weights of the connecting edges in the sub-graph set is as large as possible and the weight difference of the connecting edges in the sub-graph set is as small as possible; obtaining the location information of the maintenance personnel, and sending the order information whose service address is located in the sub-graph where the maintenance personnel is located to the maintenance personnel terminal. Constructing a spatial sharing graph is convenient for intuitively judging the hot and cold sub-areas of orders, dynamically adjusting the order information dispatched to the maintenance personnel, and reducing the time spent on the road.

The invention relates to the technical field of semiconductor product manufacturing, particularly provides a product sampling inspection method, computer equipment and a computer readable storage medium, and aims to solve the problem of improving the sampling inspection efficiency and accuracy of products. The method provided by the invention comprises the steps of obtaining a product sampling inspection plan of a to-be-sampled product, wherein the product sampling inspection plan comprises a first product batch sampling rule and a product sampling rule; generating a sampling inspection task according to the product sampling inspection plan and the product specification of the to-be-sampled product; generating a sampling inspection list according to the sampling inspection task, the sampling inspection list comprising a target batch number and a target product number, the target batch number being a number of a target batch obtained by sampling a product batch of the to-be-sampled product according to a first product batch sampling rule, the target product number is the number of a to-be-sampled product obtained by sampling products in a target batch according to a product sampling rule; and carrying out spot check on the to-be-spot-checked product according to the spot check sheet. Based on the method, the product sampling inspection efficiency and accuracy can be effectively improved.

This invention discloses a tunnel boring machine (TBM) spoil weighing system. By setting up a wireless data collector and multiple weighing components, this invention realizes online measurement of spoil weight and transmits the data to the TBM control system in real time. This allows the TBM to dynamically adjust tunneling parameters based on the amount of spoil produced, improving the level of automation and intelligence in construction. The weighing components use pressure sensors and triggering components. During spoil transportation, the weight of the truck bed is no longer applied to the pressure sensors, avoiding long-term pressure on the sensors and causing elastomer fatigue, thus extending the sensor's service life and ensuring weighing accuracy.

The utility model discloses an integrated radiating system of an electric loader, which comprises a water-cooled radiator, the water pump is used for conveying internal circulating cooling liquid to the motor controller and / or the walking motor and / or the hydraulic motor and / or the battery pack and then conveying the internal circulating cooling liquid back to the water-cooled radiator so as to cool the motor controller and / or the walking motor and / or the hydraulic motor and / or the battery pack; the hydraulic oil radiator is used for cooling oil; the condenser is used for converting high-temperature and high-pressure superheated steam of the air conditioning system into a liquid working medium; the cooling fan group at least comprises a cooling fan; wherein the water-cooled radiator, the hydraulic oil radiator and the condenser share one set of radiating fan group. According to the integrated heat dissipation system of the electric loader, higher space utilization rate can be achieved, power loss is reduced, heat dissipation efficiency is guaranteed, a simpler structure is achieved, and dynamic adjustment of the heat dissipation fan set is facilitated so as to achieve the purposes of energy conservation and environmental protection.

The application discloses a quadratic polynomial frequency modulation signal parameter estimation method, and steps include: obtaining a quadratic polynomial frequency modulation signal and performing first differentiation to obtain a first signal, calculating the carrier frequency of the first signal, and then estimating the bandwidth of the quadratic polynomial frequency modulation signal by using the carrier frequency of the first signal to obtain a bandwidth estimation value; performing second differentiation on the first signal to obtain a second signal, calculating the carrier frequency of the second signal, and then estimating the frequency modulation coefficient of the quadratic polynomial frequency modulation signal by using the carrier frequency of the second signal and the bandwidth estimation value to obtain a frequency modulation coefficient estimation value; generating a target signal according to the frequency modulation coefficient estimation value, calculating the carrier frequency of a product signal obtained by multiplying the target signal and the quadratic polynomial frequency modulation signal as a starting frequency estimation value, and calculating a carrier frequency estimation value according to the bandwidth estimation value and the starting frequency estimation value. The application has high estimation performance and low engineering implementation complexity.

The utility model relates to the field of tree growth monitoring, in particular to a forest growth monitoring and marking device convenient for height adjustment. The forest growth monitoring and marking device with the height convenient to adjust comprises a sliding rail, a sliding plate, a spring, a hinge, an arc-shaped clamping plate, a mounting plate, a screw rod and the like. Two sliding plates are slidably mounted in the sliding rail, a spring is fixedly connected between the sliding plates, arc-shaped clamping plates are connected to the sides, away from each other, of the sliding plates through hinges, a mounting plate is fixedly connected to the lower portion of the rear end face of the sliding rail, a screw rotationally penetrates through the middle of the mounting plate, and the lower end of the screw rotationally penetrates through the lower portion of the mounting plate. By arranging the lifting mechanism composed of the screw rod, the guide rod, the sliding block and the adjusting handle, stepless adjustment of the height of the notice board is achieved, and the effect of dynamically adjusting the observation position according to the growth condition of a tree is facilitated.

The application discloses a kind of based on ultrasonic flowmeter's mouthpiece glue application amount detection method and cigarette machine group, the conception is in based on given condition, at detection starting moment, the first cumulative flow value of the ultrasonic flowmeter clamped in glue liquid pipeline and the cigarette paper disc size value at this time are acquired;When detection ends, the second cumulative flow value of the ultrasonic flowmeter and the cigarette paper disc size value at this time are acquired;According to first, second cumulative flow value, mouthpiece glue density value, and the paper disc size value or given production parameter that is respectively acquired at detection starting and ending time is combined, the application amount of cigarette paper mouthpiece glue is measured.This application does not affect normal production rhythm, can satisfy the demand of on-line real-time detection to mouthpiece glue application amount, facilitate dynamic adjustment in production process, in addition, it also improves the detection precision of mouthpiece glue application amount, avoids the shortcoming of estimated total number of cigarettes, simultaneously, without changing original cigarette machine group hardware, greatly improves the detection efficiency of mouthpiece glue application amount.

The invention relates to the technical field of germanium metal recovery systems, and provides a system and method for efficiently recovering germanium through oxygen pressure leaching of germanium-rich zinc concentrate, and the system comprises an oxygen pressure regulation and control terminal, a temperature control terminal, a reaction kettle terminal, a separation terminal and a germanium extraction terminal; the oxygen pressure regulation and control terminal is used for generating and maintaining an oxygen pressure environment specified by an experimenter in the reaction kettle terminal; the temperature control terminal is used for controlling the temperature of the reaction kettle; the reaction kettle terminal is used for realizing oxygen pressure leaching reaction of the germanium-rich zinc concentrate; the separation terminal is used for separating the leachate from the solid residues from the reaction kettle terminal, so that germanium in a liquid phase enters the germanium extraction terminal; and the germanium extraction terminal is used for enriching and purifying germanium in the leachate to realize germanium recovery. The method has the effect of improving the germanium extraction efficiency.