24results about How to "Accurate output" patented technology

This utility model relates to the field of electrical energy detection technology, and proposes a high-current electrical energy detection device with closed-loop control function. The device includes: a programmable power source module, including an output drive unit for outputting current, voltage signals, and waveforms within a large current range; a standard measurement module connected to the output drive unit for detecting the current, voltage signals, and waveform parameters output by the output drive unit; a waveform sampling module connected to the output drive unit for sampling the waveform output by the output drive unit; a closed-loop control module bidirectionally connected to the programmable power source module and the waveform sampling module for adjusting the current, voltage signals, and waveforms; and an external device detection interface connected to the output terminal of the output drive unit for connecting different types of high-current metering devices. This utility model solves the problems of measurement error superposition, unstable output, and insufficient measurement range in traditional detection devices.

The utility model discloses a kind of ear-clamping type bluetooth earphone and its charging box, a kind of ear-clamping type bluetooth earphone, including machine core component, sound production component and the ear clip part of connecting machine core component and sound production component, sound production component includes loudspeaker shell, loudspeaker and reflection sound cone, sound cavity is equipped in loudspeaker shell, sound cavity bottom side is equipped with the sound outlet of intercommunication sound cavity, loudspeaker and reflection sound cone are assembled in sound cavity, the conical surface of reflection sound cone is opposite to loudspeaker, so that the sound wave produced by loudspeaker vibration is reflected to sound outlet output by reflection sound cone reflection.A kind of charging box, including charging box body and the above bluetooth earphone, earphone slot is equipped on charging box body, ear-clamping type bluetooth earphone is contained in earphone slot, hinged cover is hinged on charging box body.The utility model is through the reflection of reflection sound cone, sound wave does not stay too much in shell and produce wave interference, sound wave aims at sound outlet output, then transmission to user's ear canal, improve sound quality, improve the listening experience of user.

The invention relates to the technical field of ocean platform pipeline design, in particular to an ocean platform pipeline laying method based on reinforcement learning, and the method comprises the following steps: S1, dispersing a pipeline laying region into a three-dimensional grid matrix according to the physical size of an actual cabin of an ocean platform, and marking a pipeline starting point, a pipeline ending point and an impassable region; s2, performing Q-Learning algorithm parameter initialization configuration, defining an action space adaptive to the linear movement characteristics of the ocean platform pipeline, constructing a Q value matrix adaptive to three-dimensional space coordinates and actions, and performing initialization; s3, entering a training round, and continuously updating the value evaluation matrix by dynamically adjusting a greedy criterion, a multi-dimensional reward mechanism and a time sequence difference learning rule; and S4, after the training is completed, starting from the starting point based on the converged Q value matrix, selecting an optimal action through a greedy to generate a final pipeline path, and improving the quality and search efficiency of pipeline laying on the ocean platform.

The application discloses a parallel hole damping-spiral tube inerter underwater damping device and belongs to the technical field of underwater vibration control. The device comprises an upper shell, a lower shell, a damping spring, an open small hole damping and an open fluid inerter. The upper shell and the lower shell are two parts in relative sliding. The damping spring and the open small hole damping are assembled in parallel to form an integral body, which together constitutes an open spring damping. The open spring damping and the open fluid inerter are connected in parallel, and the upper and lower ends of the two are respectively fixed to the upper shell and the lower shell. The open small hole damping and the open fluid inerter are both installed in the upper shell and the lower shell. The application adopts a parallel topology structure of inerter, damping and spring. The double spiral pipes and the symmetrical piston rods realize the fluid inerter effect in two directions. The small holes on the damping piston realize the speed-dependent throttling damping. The device has the characteristics of wide frequency vibration isolation, strong static load capacity, symmetrical positive and negative characteristics and deep water environment.

The utility model relates to cleaning device technical field discloses a kind of manual washing board device, including fixed pipe, the outer wall side of fixed pipe is communicated with extraction mechanism, the extraction mechanism is used to facilitate extrusion, the outer wall bottom of extraction mechanism is fixedly connected with shunt mechanism, the shunt mechanism is used for liquid distribution, the inner wall bottom of fixed pipe is fixedly connected with silica gel pipe, the outer wall top of fixed pipe is fixedly connected with branch pipe, and the outer wall bottom of fixed pipe is installed washing liquid barrel;The extraction mechanism includes connecting pipe, and the connecting pipe is fixedly connected at the outer wall one end of fixed pipe, and the other end of connecting pipe is communicated with tee pipe.The utility model in the present application, pour washing liquid into washing liquid bottle and place high place, one end of silica gel pipe is inserted into liquid level, and the other end valve is used as switch, by siphon principle, form pressure difference and extract washing liquid, adjust valve flow rate, save manpower expenditure, improve work efficiency.

The application relates to a SPAD histogram distance calculation method and system based on coarse-precision two-stage mixed processing. The method comprises the following steps: performing full-width fast target detection on a photon time-of-flight histogram generated based on SPAD and TCSPC technology through first-stage processing to obtain coarse distance information corresponding to a target; dynamically judging whether to start second-stage processing on the target according to signal characteristics corresponding to the coarse distance information; if it is judged to start second-stage processing, performing high-precision peak position positioning on the target time window corresponding to the coarse distance information through second-stage processing to obtain accurate time-of-flight information of the target; if it is judged not to start second-stage processing, directly taking the time-of-flight corresponding to the coarse distance information as the final time-of-flight information of the target; and converting the final time-of-flight information of the target into an accurate measurement distance through a preset mapping relationship between the speed of light and the distance to simultaneously meet real-time requirements and power consumption control.

This application relates to the field of medical data processing technology and discloses a method and system for screening infertile patients with polycystic ovary syndrome (PCOS). The method includes: acquiring data on the number of antral follicles, anti-Müllerian hormone (AMH) concentration, and ovarian volume from multiple patient monitoring cycles; performing feature extraction and normalization to obtain a set of normalized feature vectors; determining the synchronous relationship between the number of antral follicles and ovarian volume based on the vector set, and identifying signs of asynchronous changes; combining hormone concentrations for joint grouping to obtain the distribution of abnormal indicator clusters and identifying ovarian function stage markers; performing sequence matching based on the stage markers of continuous cycles and historical medical records to generate an ovarian function progression trajectory curve; extracting inflection point features from the curve and performing causal association rule mining to construct a logical chain between abnormal indicators and clinical outcomes; and determining conditions layer by layer according to the logical chain to output the final screening results. This application improves the accuracy of screening infertile patients with PCOS.

The application discloses a kind of for bicuspid valve clamp surgery navigation multi-modal image automatic registration method, comprising the following steps: acquisition patient preoperative heart CTA image, intraoperative CBCT image and intraoperative TEE image / corresponding perspective image, and the CTA, CBCT and TEE image of this acquisition are pretreated;Complete CTA to CBCT three-dimensional automatic coarse registration, establish unified patient coordinate system, and combine with heart and breathing motion compensation, dynamic fine registration is carried out to coarse registration result;Estimate TEE probe pose and imaging plane, identify the common visual target in TEE and CBCT / perspective, complete TEE and CBCT / perspective dynamic automatic registration;Under unified coordinate system, fuse each modality image, generate the multi-modal navigation interface and navigation information of surgery.The method of the application can realize automatic, fast, accurate multi-modal space registration, improve the standardization degree and safety of bicuspid valve clamp surgery navigation.

The application belongs to the technical field of emergency help equipment, and provides an emergency help signal panoramic projection device, method and terminal, the device can continuously detect the spatial posture and rotating motion state of itself through the environment positioning module, generate corresponding posture data and direction data, the control module can obtain the data and determine the real-time projection pointing angle of the device, and then when the device rotates, the projection control instruction corresponding to the real-time projection pointing angle is generated and sent to the image projection module, so that the image generation unit in the image projection module drives the corresponding rotating transformation of the help image, and the light source in the image projection module irradiates the help image to project the visual help signal which is right and complete. The scheme realizes omnidirectional controllable intelligent projection, can make the help signal cover all directions, at the same time ensures that the projected image can be clearly observed, is more easily identified by the rescuer, reduces the delay caused by signal blur, and improves the probability of being rescued by the help seeker.

The application relates to the field of gas detection, in particular to a quartz tuning fork gas sensing device based on diamond-like coating enhancement, which comprises sequentially connected laser signal emitting units, light absorption cells, lenses, quartz tuning forks and electric signal collecting units, the surface of the quartz tuning fork is coated with a diamond-like coating; target light signals generated by the laser signal emitting units are transmitted to the light absorption cells; the light absorption cells contain target gases to be detected, and light signals interact with the target gases in the light absorption cells; the lenses focus the light emitted from the light absorption cells to the surface of the quartz tuning fork coated with the diamond-like coating. Compared with the prior art, the application can sensitively capture slight changes caused by trace gases, convert the changes into obvious electric signals, and the electric signals have a good linear relationship with the gas concentration, so that low-concentration gases can be measured with high precision.

The application provides an electric light truck urban cruise control method and system, which comprises the following steps: based on a federal learning architecture, the global parameters of an urban traffic cloud platform are updated cooperatively through a federal average algorithm; a working condition characteristic vector library covering global urban roads is constructed according to the global parameters, a migration learning algorithm is used to migrate the speed trajectory planning experience under the historical optimal working condition to the inside of the working condition characteristic vector library, and a source domain-target domain adaptation model is constructed in combination with the remaining battery capacity and power system state of the electric light truck; a speed trajectory initial framework corresponding to the electric light truck is output through the source domain-target domain adaptation model, and a corresponding optimization objective function is constructed according to the speed trajectory initial framework; preset constraint conditions are called out, and the optimal speed trajectory is calculated according to the constraint conditions and the optimization objective function, so that the corresponding urban cruise is completed according to the optimal speed trajectory. The application can effectively improve the cruise control efficiency of the electric light truck.

This application provides a data determination method applicable to the field of artificial intelligence technology. The method includes: acquiring transaction feedback data sent by a distributed stream processing node, and reference data affecting user transaction behavior within a first predetermined time period after performing parameter adjustment operations on a predetermined account for a target user; invoking a locally stored second model, and outputting feedback information corresponding to a first operable range of data based on the transaction feedback data and the reference data, wherein the feedback information characterizes the degree of fit between the first operable range of data and the user transaction behavior and the reference data; updating the model parameters of the first model based on the feedback information, and sending the updated model parameters to a first computing node, so that the first computing node invokes the first model and outputs target operable range data based on the updated model parameters. This application also provides a data determination apparatus, device, storage medium, and program product.

This invention discloses a rapid detection method and system for the reheating degree of meat dishes based on electrochemical sensing, belonging to the field of food testing technology. Addressing the problem of difficulty in rapidly and accurately evaluating the reheating degree of meat dishes in existing technologies, this invention first places the meat dish to be tested in a space, generating headspace gas at a preset equilibrium temperature and time. An electrochemical sensor unit collects the complete time-response curve of the interaction between the headspace gas and the sensitive layer, extracting dynamic characteristic parameters such as response rise time, peak response value, time to reach peak value, curve integral area, and half-life of the fall phase. Simultaneously, it acquires ingredient attribute parameters and reheating method parameters. These parameters are then input into a pre-trained deep learning prediction model, which outputs the reheating degree level and displays it on a display unit. This method can be used in the catering industry, food processing, and home cooking for rapid detection of the reheating degree of meat dishes, ensuring food quality and food safety.

This utility model relates to the field of motor power technology, specifically a stator and rotor mounting mechanism for a roller brush motor. It includes a fixed shaft, a stator assembly, a rotor assembly, and a housing. The fixed shaft comprises a fixed connecting part, a stator connecting part, and an output connecting part arranged sequentially. The stator assembly is mounted on the stator connecting part. The fixed connecting part is used for fixing the shaft. The output connecting part is provided with a rotating connecting element. The housing includes a rotor housing and an output connecting end cover. The rotor housing covers the outside of the stator assembly. The output connecting end cover is located at one end of the rotor housing and connected to the rotating connecting element. The rotor assembly is located on the inner wall of the rotor housing and is opposite to the stator assembly. This utility model ensures the stability of motor operation. The stator connecting part provides an installation position for the stator assembly, enabling precise installation and ensuring accurate relative positioning between the stator and rotor, thus guaranteeing uniform distribution and efficient conversion of the motor's magnetic field.

This utility model relates to the field of pile foundation testing technology and discloses an underwater pile foundation testing mechanism for bridges. It includes a pile foundation body, a winding assembly on one side of the pile foundation body, a testing device below the winding assembly, a camera inside the testing device, and a cleaning assembly on top of the testing device. The winding assembly includes a float on one side of the pile foundation body, a mounting base fixedly connected to the top of the float, a motor fixedly connected to the right side of the mounting base, a winding drum fixedly connected to the motor's output end, and two pulleys fixedly connected to the left side wall of the mounting base. This utility model, through the structural design of the winding assembly, solves the problems of existing technologies where the testing device is lowered into the water using a telescopic rod, the adjustment of the telescopic rod is cumbersome, requiring testing personnel to spend a lot of time and effort on adjustments, and the telescopic rod is not convenient for adjusting all lengths.

The application discloses a construction safety hidden danger detection method and system based on a multi-modal large language model, which comprises the following steps: adopting a streaming multi-modal data acquisition strategy to synchronously collect text logs, image streams and sensor data of a construction site in real time; using an edge computing device to perform parallel preprocessing on real-time multi-modal construction safety data streams to eliminate inter-modal time inconsistency; constructing a multi-modal data feature correlation graph to identify and repair modal data anomalies caused by environmental interference in real time; performing real-time feature extraction and fusion on the preprocessed data streams, and completing rapid coding and identification of cross-modal hidden danger features through a sliding window mechanism and attention weight dynamic adjustment; based on the real-time feature fusion result, performing instant analysis through an online hidden danger detection method; and according to the real-time detection result, completing real-time visualization and tracking of the hidden danger, thereby achieving timely early warning and tracking management of the hidden danger.

This invention provides a two-layer intelligent diagnostic method and system for the structural performance of urban underground pipelines. By constructing a dynamic model for monitoring pipeline dynamic deflection, a solid physical and mechanical foundation is provided for diagnosis, effectively addressing the technical shortcomings of existing intelligent diagnostic models that lack physical rationality and are prone to deviating from the actual deformation patterns of pipelines. The dynamic model for monitoring urban underground pipeline dynamic deflection analyzes the variation law of pipeline deflection with pipeline structural performance, thereby accurately revealing the coupling mechanism between pipeline deflection and structural performance. Based on elastic dynamics theory, the model is solved through motion control equations in cylindrical coordinates, material constitutive relations, and frequency-wavenumber domain spectral analysis, accurately outputting dynamic pipeline deflection data. It clarifies the quantitative correlation between pipeline deflection data and pipeline structural performance parameters, providing clear mechanical theoretical support for subsequent diagnostic processes, significantly reducing the misjudgment rate of diagnostic results, and improving the reliability of the diagnosis.

This invention relates to an AI model backdoor defense system and its detection method. The technical solution includes a model security detection module, a backdoor location and tracing module, a backdoor removal and hardening module, a real-time inference protection module, and a security verification and auditing module. These modules are interconnected to form a closed-loop defense architecture. Based on this system, the method identifies model backdoors through multi-dimensional fusion detection, linking the entire process of location and tracing, removal and hardening, real-time protection, and security verification to achieve accurate detection, thorough removal, and real-time protection against various AI model backdoors. This invention overcomes the shortcomings of existing technologies, such as single detection dimensions, lack of closed-loop defense, poor scenario adaptability, and poor real-time performance. It is adaptable to various deep learning models, including large language models and multimodal models, and is applicable to multiple scenarios such as model development, deployment, and supply chain security, improving model security and possessing broad application value.

The application discloses a network intrusion detection method and device based on artificial intelligence and a storage medium, and comprises the following steps: step one, generating session communication metadata; step two, generating echo mode data; step three, generating a causal driving behavior sequence; step four, inputting the causal driving behavior sequence into a behavior residual matching network to generate behavior residual features through a main branch; step five, generating historical behavior residual features through a shadow branch; step six, inputting the behavior residual features and the historical behavior residual features into a residual attention matching layer to generate a residual matching result; and step seven, recording the residual matching result into a distributed time axis, introducing a time inertia flame mechanism based on an improved moth flame optimization algorithm, performing a spiral update operation, and generating a network intrusion detection result. The application realizes accurate detection of network intrusion behaviors in an encrypted communication scene through a behavior residual matching network and an improved moth flame optimization algorithm.

The application relates to a backlight white balance control method and device, electronic equipment and a storage medium. The method comprises the following steps: constructing a multi-temperature three-dimensional lookup table set; detecting the current working temperature of a backlight module when an image is displayed on a backlight display device, and determining the target light output characteristics of the current display picture; selecting a target three-dimensional lookup table from the multi-temperature three-dimensional lookup table set according to the current working temperature; inputting the target luminance value and the target chroma coordinate into the target three-dimensional lookup table to obtain a target three-color driving current value and generate a driving signal, and driving the backlight module to output mixed light matched with the target light output characteristics, so as to realize backlight white balance control. Based on the luminance, chroma and three-color driving current mapping relationship of the backlight, the mixed light meeting the target white balance requirement can be quickly and accurately output, the chroma coupling error caused by the traditional independent correction of the sub-channel is avoided, and the control precision and response speed of the backlight white balance are improved.

This invention relates to the field of textile quality inspection technology. It discloses a deep learning-based intelligent defect detection method for textiles, comprising the following steps: S1, acquiring textile images containing various defect types and constructing an image dataset, wherein the dataset includes images with complex textured backgrounds; S2, preprocessing the images in the dataset. This invention achieves a significant performance improvement in textile defect detection through end-to-end optimization. The background normalization algorithm and improved network structure efficiently extract multi-scale features. The dual-branch detection head, coupled with a dedicated training strategy, overcomes the challenges of detecting complex background interference, small targets, and multiple types of defects, significantly improving accuracy and recall. After layer fusion and quantization compression, the model is adapted for embedded deployment, balancing real-time performance and accuracy, providing a standardized intelligent quality control solution for the textile industry and helping enterprises improve quality and efficiency.

This invention discloses an AI-based system for optimizing precise advertising placement in business travel scenarios. The system includes: a multi-source data acquisition module for generating a business travel behavior observation sequence; a boundary segmentation processing module for outputting segmented sequences of business travel stages; a duration distribution modeling module for constructing a hidden semi-Markov model and establishing the initial duration distribution corresponding to each business travel stage; a duration elastic correction module for performing duration elastic correction processing and generating a corrected duration distribution; a state decoding and determination module for performing state decoding on the business travel behavior observation sequence and generating a dwell depth interval identifier; an advertising trigger control module for generating advertising placement decision results; and a feedback iterative update module for updating the processing results of stage boundary gating, duration elastic correction, and trigger control. This invention improves the accuracy of business travel stage identification and the matching degree of advertising placement.

This invention relates to a voltage over-limit mitigation device and control method for power distribution networks. The device includes a voltage regulator and a transformer. The voltage regulator comprises three sets of switch pairs, two inductors, and two capacitors. Its input side is connected in parallel to the power supply side of the power distribution network, and its output side is connected in series to the load side via the transformer. When the device is activated, the output voltage of the AC / AC voltage regulator is calculated based on the current load voltage, the ideal load voltage, and the transformer turns ratio. The operating mode and switching control method of the AC / AC voltage regulator are determined based on the output voltage, thereby adjusting the load voltage to mitigate voltage over-limits. This invention enables flexible voltage increase and decrease regulation in power distribution networks, has strong short-circuit withstand capability, and features a simple structure, control system, and low cost.

This invention provides a method, device, and medium for regulating a multi-source heating system, belonging to the field of energy management technology. The method includes: acquiring operational data of the heating system; wherein the heating system includes at least two heat sources; inputting the operational data into a pre-trained hybrid model to obtain the actual heating capacity of each heat source; acquiring the heat load demand; and determining the optimal load allocation scheme for each heat source based on the heat load demand and the actual heating capacity; by constructing a hybrid model that integrates a mechanistic model and a residual network, based on the calculation of theoretical heat supply based on energy conservation and mass conservation, further compensating for the deviation between the theoretical heat supply output by the mechanistic model and the actual heat supply of each heat source measured on-site, it can achieve accurate output of the actual usable heating capacity of each heat source, thereby solving the technical problem that the calculation results of the pure mechanistic model are distorted and do not match the actual operating conditions due to equipment aging, etc.