48 results about "Embedded intelligence" patented technology

The embodiment of the invention provides a convolution input structure multiplexing method and device based on signal sliding window row block cache, and relates to the technical field of embedded intelligent sensing. The method is applied to a front-end cache of a multiply-accumulate array, and comprises the following steps: determining a cache configuration parameter according to a parameter of an executed convolution operation; establishing a plurality of line caches in the front-end cache according to the cache configuration parameters; newly added data obtained through the sliding window operation is written into a row cache; and reading data from the row cache when the multiply-accumulate array executes a calculation operation. According to the implementation mode provided by the invention, the input redundant loading is remarkably reduced, the reuse rate of the overlapped part of the adjacent sliding windows is increased, and the average access frequency of the SRAM is reduced.

The invention discloses a universal shaped protection and monitoring method based on an Internet of Things intelligent system, and relates to the field of safety protection of building engineering construction. A universal embedded intelligent control box is embedded into various set protection facilities, a matched sensor group is used for collecting data, real-time self-diagnosis and risk assessment of the facilities such as edge guardrails and tool type step ladders are achieved by means of an edge calculation algorithm, then a dynamic risk assessment model is adopted to output a comprehensive risk weight value, and the risk assessment accuracy is improved. Triggering multi-level linkage alarm according to comparison results of the data and different levels of thresholds, and finally uploading the data to a cloud through a communication module for collaborative management and block chain evidence storage. According to the invention, the problems of monitoring lagging, passive early warning and the like of a traditional protection facility are solved, and the intelligent level and management efficiency of construction safety protection are improved.

The invention relates to embedded intelligent equipment, a system starting method and device thereof and a medium, and the method comprises the steps: responding to a system starting signal, and loading and running a system kernel of a pre-configured first operating system to drive hardware resources of the embedded intelligent equipment; in a first user space environment created by a system kernel starting initialization process, independent file system resources are created for a second operating system, and the second operating system and the first operating system are heterogeneous; mapping an access path of a runtime resource of the file system resource to a global file path of the first user space environment by creating a symbolic link, and constructing a second user space environment corresponding to a second operating system; and the initialization process is ended, so that support is provided for application programs of the first user space environment and the second user space environment based on the shared access capability of the system kernel to the hardware resources. According to the method and the device, millisecond-level dynamic switching of the double systems without restarting is realized, and meanwhile, the native performance and efficient resource utilization are ensured.

The invention discloses a virtual sensor modeling and deployment method and system based on spatio-temporal feature fusion and a gradient boosting strategy, and relates to the technical field of industrial process monitoring and control, embedded intelligent sensing and data-driven modeling. The method comprises the following steps: collecting multi-source sensor data under a multi-environment condition and preprocessing the multi-source sensor data; constructing a spatial-temporal characteristic system which simultaneously represents historical memory, dynamic change and a multivariable coupling relationship, and performing characteristic screening and weight reduction; under a gradient lifting framework, adopting automatic hyper-parameter optimization to obtain a virtual sensor model with compromise between performance and complexity; the trained model is converted into a unified reasoning format irrelevant to a platform, and real-time reasoning is achieved on a resource-limited embedded control unit. Compared with the prior art, the method has higher prediction precision and generalization ability under the complex dynamic working condition, the model size and the single reasoning delay are controllable, and the method is suitable for being deployed and applied in a vehicle-mounted ECU, an industrial controller and an edge node.

The application discloses a kind of based on ZYNQ platform's transmission tower steel member weld surface defect detection system and method, belong to industrial vision detection and embedded intelligent identification technical field.Pass through acquisition weld image and construct defect dataset, in YOLOV3 target detection network training stage introduction self-adapting residual network structure and channel attention mechanism, enhance shallow layer detail information transmission and defect relevant feature response, realize to crack, pore, slag inclusion, undercut and weld tumor and so on Defect Effective identification.Training optimized model faces ZYNQ heterogeneous hardware and is deployed, through hierarchical data access, convolution unit reuse, multi-level parallel computing and pipeline processing, reduce data movement overhead, improve convolution operation efficiency and on-chip resource utilization, reduce the hardware scale required for edge deployment, to improve the real-time performance and engineering application capability of weld surface defect detection.

The application provides an embedded intelligent switch control system based on dual-mode detection, and relates to the technical field of intelligent control, comprising: a driving logic program establishment module, which is responsible for configuring a dual-mode control channel of infrared and sound cooperation; a main control sensing establishment module, which is responsible for writing driving logic into a main control chip and connecting infrared and sound sensors; a signal determination module, which is responsible for driving sensor staggered detection and determining signals to generate switch instructions; and a switch state switching module, which is responsible for controlling a relay to switch a switch state according to the instructions. The application solves the technical problems of high false triggering rate, high energy consumption and poor scene adaptability of the conventional switch control system in the prior art due to a single triggering mode, achieves the technical effects of judging time zones and flexible calibration mechanism through infrared and sound dual-mode detection combination, reducing the false triggering rate and energy consumption in complex environments, and improving the scene adaptability.

1. Name of the product in this design: Embedded Smart Lock (DX40). 2. Purpose of this design: This design is for a smart lock installed on a wall for the purpose of theft prevention. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The back of this product is a part that is not easily seen or cannot be seen during use, so the rear view is omitted.

The invention relates to the technical field of road diseases, in particular to a road disease vehicle-mounted embedded intelligent detection method based on deep learning, and the method comprises the steps: introducing a lightweight GSNet network, integrating a GC2f feature module of a global context attention mechanism, and fusing a dynamic up-sampling module DySample and a VoV-GSCSP module. The parameter quantity and the calculation complexity are obviously reduced; and meanwhile, the high detection precision is kept. In the model evaluation stage, the system analyzes the performance of each type of diseases in a simple scene and a complex scene by utilizing a defect detection result of a test image, respectively calculates the accuracy of a first type and a second type, and dynamically allocates an evaluation weight for each type and generates a weighted comprehensive evaluation result, so that the performance evaluation is more fit with the real road complexity. According to the method, light weight, high precision and scene adaptive evaluation capability are considered, the real-time performance, robustness and deployment reliability of road disease detection are effectively improved, and the method is suitable for application scenes such as intelligent inspection vehicles, road maintenance systems and automatic driving perception.

The invention relates to the technical field of intelligent spectrum sensing, in particular to a pure water quality total chlorine online monitoring method and device based on a spectrophotometric method. The system of the device serves as an integrated intelligent sensing system, and synchronously collects multi-wavelength absorbance, transmission light intensity and light source voltage data of a water sample; analyzing a light intensity fluctuation index based on the light source voltage data to evaluate light source stability; calculating the characteristic deviation degree of the water sample by combining absorbance data and the index; fusing the absorbance, the transmission light intensity and the characteristic deviation degree data to generate a detection credibility index; and finally, independently judging whether the current detection has a misjudgment risk or not according to the credibility. Through multi-dimensional data fusion and embedded intelligent analysis, self-diagnosis and result credibility self-evaluation of the sensing process are realized, and the robustness, reliability and intelligent level of an online monitoring system are remarkably improved.

This invention discloses a pet posture recognition and health monitoring method and collar, belonging to the field of pet wearable devices and embedded intelligent sensing technology. The method includes: collecting raw motion data of the target pet and preprocessing it; extracting acceleration and angular velocity features based on the preprocessed data to obtain temporal fusion features; inputting the temporal fusion features into a preset lightweight classification model to output the pet's posture category; performing periodic quantitative statistics on the posture categories to obtain behavioral statistics data; and comparing the behavioral statistics data with preset health judgment conditions to obtain relevant health status data of the target pet. This invention effectively distinguishes between effective and ineffective motion through temporal fusion features, achieves local offline inference through a lightweight classification model, and realizes pet health monitoring through a complete closed loop from posture recognition to health assessment. It features high recognition accuracy, low power consumption, and long battery life.

1. Name of the product in this design: Embedded Smart Lock (BF-Q9). 2. Purpose of this design: As a security and anti-theft device, it is used to lock and protect doors, boxes, cabinets, etc. 3. The key design feature of this product is its shape. 4. Images or photos that best illustrate the design points: Refer to Figure 1 for the combined state.

The invention relates to an industrial-grade general intelligent test hardware platform, which is characterized in that a traditional fixed function device is split into a plurality of independent detachable and replaceable function modules through modular design, so that the test requirements of various types of signals are flexibly met, free combination and emerging signal expansion are supported, and the problems of single function and expansibility are solved; a unified interface and a protocol adaptation layer are defined, one-button intelligent wiring is matched, the wiring process is simplified, manual errors are avoided, and the problems of interface disorder and operation complexity are solved; test parameters are automatically optimized based on an embedded intelligent control unit and an adaptive algorithm, multi-task parallel processing and real-time data analysis are supported, and efficiency and precision are greatly improved; a hierarchical open software system is constructed, a unified drive API is provided, multi-platform access, user-defined extension and cloud collaboration are supported, the limitation of closed software is broken, and the personalized and long-term development requirements of enterprises are met. The invention is suitable for the technical field of embedded product test systems.

The application provides a liquid strain biomass soft measurement method based on machine vision, comprising the following steps: offline sampling and analyzing liquid strain biomass parameters and evolution rules in the whole fermentation period; establishing a biomass parameter soft measurement model M1 by means of manually measured auxiliary variable characteristics M-Features; collecting visible light images and visible-near infrared I-near infrared II multi-source spectrum data of liquid strains in different fermentation stages, constructing an atlas data set, and building a multi-task machine vision model V1 for extracting auxiliary variable characteristics E-Features based on machine vision; combining the biomass parameter soft measurement model M1 and the multi-task machine vision model V1, establishing the correlation between E-Features and M-Features, and obtaining a cascade machine vision soft measurement model MV; and deploying the MV model on a terminal embedded intelligent device and designing interactive software for task execution. The method can evaluate the trend of the evolution of the biomass parameter of the liquid strain fermentation process in real time, so as to guide the production application of the strain.

This invention discloses a high-efficiency heat exchange air source heat pump system and its control method, belonging to the field of air source heat pump heat exchange control technology. The system includes a heat pump hardware body and an embedded intelligent control software system. The software system constructs a perception-decision-execution-iteration closed-loop architecture, integrating load forecasting, intelligent heat exchange regulation, phase change collaborative control, fault diagnosis, and data interaction modules. Through multi-algorithm fusion, it achieves accurate heat exchange load forecasting, dynamic parameter adjustment, and fault protection under all operating conditions, solving problems such as control lag and poor coordination in traditional systems. This invention significantly improves load forecasting accuracy and reduces regulation lag through innovative software system architecture and multi-module collaboration, achieving precise coordination between phase change components and the main unit, accurate and efficient fault diagnosis, supporting continuous system optimization, significantly improving heat exchange efficiency and operational stability under all operating conditions, reducing energy consumption and maintenance costs, and possessing broad application prospects.

The invention relates to the technical field of DCS (Distributed Control System), and particularly discloses a DCS embedded intelligent monitoring system based on multi-algorithm fusion, which comprises a DCS embedded intelligent alarm analysis platform of a physically isolated control area and a multi-dimensional comprehensive early warning management platform of a management area, the DCS embedded intelligent alarm analysis platform is deployed in a gas power station production control network, is provided with an independent server cluster, and is used for collecting operation parameters and alarm information of DCS main and auxiliary networks and a TCS system in real time, and executing data modeling, alarm optimization, fault playback, video linkage and intelligent control functions; the multi-dimensional comprehensive early warning management platform is deployed in a gas power station management network, and control area data are obtained in a one-way mode through a domestic one-way isolation gatekeeper. According to the system, through embedded deployment and multi-module cooperation, functions of intelligent disk monitoring, alarm optimization, fault playback, intelligent control and the like can be integrated without large-scale transformation of existing DCS hardware.

The invention relates to the technical field of connectors, in particular to a rotary waterproof connector which comprises a female end, a male end and a sealing layer, the female end is connected with the male end, the sealing layer abuts against the position between the female end and the male end, and the rotary waterproof connector further comprises an embedded intelligent management system. Through the embedded intelligent management system, aiming at the problem that early warning of sealing failure is not timely, the system acquires the pressure P (t) of the sealing interface in real time and evaluates based on a dynamic failure threshold model, so that early, dynamic and accurate early warning of the sealing state is realized. Aiming at the problem of insufficient signal transmission reliability, the system monitors the impedance mismatch degree and temperature in real time, and starts adaptive impedance matching and online calibration by using a quantum-classical hierarchical optimization strategy and a quantum annealing algorithm, thereby ensuring signal integrity and transmission reliability in a high dynamic environment. In addition, multi-source data fusion and full-life-cycle data management provide high-quality data basis and continuous optimization capability for the functions.

This utility model relates to microprocessor technology, biometric identification systems, and embedded intelligent devices designed for automatic personal recognition based on multiple biometric characteristics. The proposed utility model is a multimodal microprocessor-based biometric identification device comprising a fingerprint scanner, a voice identification module, a microprocessor computing module, a memory module, a neural network data processing unit, a decision-making unit, a communication interface, and a power source. A distinctive feature of the utility model is its use of a unified microprocessor architecture, enabling local intelligent processing of multiple biometric modalities without the need to transmit data to external computing servers.The microprocessor computing module collects, digitally filters, extracts features, analyzes, and compares user biometric data with templates stored in the device's memory. Fingerprints and voice characteristics are used as biometric features. Combined processing of multiple biometric parameters improves identification accuracy, reduces the likelihood of false positives and false negatives, and enhances the system's resilience to external influences and noise. The technical result of this utility model is increased reliability, speed, and autonomy of biometric identification through the use of integrated microprocessor processing of multimodal biometric data and recognition algorithms.The utility model can be used in access control and management systems, banking and financial systems, mobile devices, medical information systems, critical infrastructure facilities, government personal identification systems, and intelligent IoT systems. The proposed device is compact, capable of autonomous operation, offers high data processing speeds, and can be integrated into modern digital security systems.

1. The name of the design product: light fastener (embedded KTV intelligent type). 2. The use of the design product: for light fastener. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a high-flux intelligent spectrophotometric detection system and method, and the system comprises a multi-beam optical subsystem, a high-flux sample detection module, a multi-channel optical fiber collection system, and a spectrum detection and intelligent analysis subsystem. A plurality of samples in the high-flux sample detection module are irradiated at the same time, and generated transmission or reflection light signals are collected by the multi-channel optical fiber collection system and transmitted to the spectrum detection and intelligent analysis subsystem; the system and the method can perform spectrophotometric detection based on high-throughput sample treatment, high-sensitivity spectrum detection and embedded intelligent analysis.

The application relates to the technical field of communication base station monitoring, and discloses an embedded intelligent internet of things edge computing terminal and a monitoring method thereof in a communication base station environment, wherein the application comprises the following steps: identifying a data frame accessed through a serial port to obtain an effective monitoring value, generating an alarm triggering identifier, and selecting a main communication protocol from an IP network, an E1 special line, a PTN transmission network, an L2TP tunnel and a 4G network; obtaining the number of response timeout times after reporting data to a remote monitoring center, switching from a remote centralized mode to a local independent operation and maintenance mode, and creating an operation and maintenance mode identifier; judging whether a triggering identifier is reported according to the operation and maintenance mode identifier, the alarm triggering identifier and the effective monitoring value; if yes, transmitting the triggering identifier through the main communication protocol in a fixed-length frame structure or a fragmentation mode to obtain a reporting response message; the application reduces the false alarm rate caused by measurement noise, reduces network bandwidth occupation under the premise of ensuring the real-time alarm, improves communication efficiency and reduces operation cost.

1. The name of the design product: embedded intelligent lock (DX20). 2. The use of the design product: the design is used for installing on the door, and is used for anti-theft intelligent lock. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: assembly 1 perspective view. 5. The back of the design product is not easy to see or not visible during use, omitting assembly 1 rear view, assembly 2 rear view. 6. Other circumstances that need to be explained: the design product is an assembly product, assembly 1 is the front panel, and assembly 2 is the back panel.

The invention discloses a road surface integrated wireless induction type lane marking device, the system comprises a plurality of embedded intelligent spike units, each unit comprises an indication light source, a communication module, a state self-checking module, a consensus processor and a fault-tolerant controller, and the core innovation is that a distributed consensus protocol is adopted; any state change can be executed after more than half of effective units in the same mark group reach a consensus through local negotiation, and a traditional centralized control framework is thoroughly overturned. Meanwhile, each unit continuously monitors the own state and mutually checks with the adjacent unit, and automatically enters a predefined safety mode once detecting the own fault, the inconsistent state or receiving an illegal instruction; according to the method, high reliability, strong anti-fault capability and active safety guarantee are realized, error display caused by single point fault or network attack is effectively prevented, and a solid and reliable infrastructure support is provided for dynamic reversible lanes, vehicle-road cooperation and intelligent traffic management.

The application discloses a kind of mine equipment passive wireless completely embedded sensing system and method, it is related to embedded intelligent sensor technical field, embedded sensor node in system is carried out energy collection and management to moving component and non-moving component by energy collection module and energy management module, direct current bias magnetic field is provided by the wireless communication module of the way of deploying micro permanent magnet along magnetization direction, and the wireless transmission performance of very low frequency signal in different working conditions and environment of mine equipment is improved by communication resource adaptive allocation strategy.The application method is based on the mechanism of laser high-temperature multi-field coupling heat transfer in the process of proving key components of mine machinery and equipment, proposes a heat insulation method for laser instantaneous and cumulative high temperature, forms an intermittent sensor completely embedded process conforming to the geometry of the component, realizes the integrated design of intelligent sensing unit and manufacturing equipment system, and solves the problem of mine machinery and equipment operation state data collection.

The utility model provides a kind of micro FFC embedded intelligent module, the interface of FFC connector is fixedly installed with U-shaped hollow groove block, the upper surface of U-shaped recess in U-shaped hollow groove block middle part is transversely provided with thin film thermocouple array, the inside of U-shaped hollow groove block is provided with including ADC converter, MCU single-chip microcomputer and capacitor, the top of the left and right ends of U-shaped hollow groove block is respectively provided with green pilot lamp and red pilot lamp and with MCU single-chip microcomputer communication connection, thin film thermocouple array, ADC converter and MCU single-chip microcomputer are sequentially connected, thin film thermocouple array, ADC converter and MCU single-chip microcomputer, green pilot lamp and red pilot lamp are electrically connected with capacitor. Through the technical scheme of the utility model, thin film thermocouple array and ADC converter realize ±0.1 ℃ temperature resolution, can observe FFC flat cable overheating condition in real time, significantly reduce the risk of connector failure caused by abnormal temperature rise of micro device due to FFC flat cable, give consideration to miniaturization, high precision and long-term stability.

A system and method for creating seif-determinative documents. The described technology provisions documents with embedded intelligence that enables self- determination, allowing for remote control, secure access, and dynamic interaction across platforms. This system includes a physical processor and memory to execute embedded intelligence, facilitating document lifecycle management, access control, and data integrity. The method involves receiving a request to create a self-determining document, provisioning the document with intelligence, storing data, and providing remote access.

The invention relates to the technical field of communication base station monitoring, and discloses an embedded intelligent internet-of-things edge computing terminal and a monitoring method thereof in a communication base station environment, and the method comprises the following steps: identifying a data frame accessed by a serial port to obtain an effective monitoring value, generating an alarm trigger identifier, and sending the alarm trigger identifier to a server; a main communication protocol is selected from an IP network, an E1 special line, a PTN transmission network, an L2TP tunnel and a 4G network; acquiring response timeout times after the data is reported to the remote monitoring center, switching from a remote centralized mode to a local independent operation and maintenance mode, and creating an operation and maintenance mode identifier; whether the trigger mark is reported or not is judged according to the operation and maintenance mode mark, the alarm trigger mark and the effective monitoring value, if yes, transmission is carried out through a main communication protocol in a fixed-length frame structure or a fragmentation mode, and a report response message is obtained.The false alarm rate caused by measurement noise is reduced, network bandwidth occupation is reduced on the premise that the alarm real-time performance is guaranteed, and the system reliability is improved. The communication efficiency is improved; and the operation cost is reduced.

The invention discloses an earthworm wriggling imitating type pipeline detection method, and relates to the technical field of pipeline detection robots, bionic motion control and embedded intelligent detection. In order to solve the problems that in the prior art, a movement mechanism is insufficient in self-adaption and skid resistance, embedded end detection is poor in real-time performance, and software and hardware cooperation efficiency is low, anchoring-propelling circulation is formed through a double-rhombus hinge telescopic mechanism driven by a steering engine and a radial supporting support, and flexible wriggling movement in a pipeline is achieved; the propelling torque and the anchoring time are dynamically adjusted, and self-adaptive motion control is achieved; a camera and a temperature sensor are used for collecting pipeline images and environmental parameters, and real-time detection of cracks, corrosion and blockage is carried out through a lightweight YOLOv11 model; and a detection-control integrated closed loop is realized. According to the method, stable advancing and high-precision defect identification in the complex pipe network are achieved, and the method is suitable for intelligent inspection and safety monitoring of urban underground energy pipe networks and water supply pipelines.

1. Name of the product in this design: Embedded Intelligent Remote Control Moving Head Light. 2. Application of this design: Intelligent lighting for museums, large hotel venues, large villas and other similar locations. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.