99 results about "Industrial setting" patented technology

Various embodiments described herein relate to real-time proximity-based contextual information for an industrial asset. In this regard, a request to establish a remote collaboration environment associated with an industrial asset in an industrial environment is received. The request includes an asset identifier provided by a mobile computing device proximate to the industrial asset. The request also includes location data associated with the industrial asset. In response to the request, contextual data for an industrial task associated with the industrial asset is determined based on the asset identifier and the location data. Furthermore, one or more interactive media elements associated with the industrial task is generated based on the contextual data. The one or more interactive media elements are communicated via the remote collaboration environment.

The application discloses a kind of based on dynamic receptive field and adaptive feature fusion plate defect detection deep learning method, to improve the detection precision and robustness of complex background and small scale defect under industrial environment.The proposed method is based on YOLOv10, dynamic receptive field module and adaptive feature fusion module are introduced in its architecture.Dynamic receptive field module uses local features and context information to dynamically adjust the size of convolution receptive field, to enhance the perception ability of different scale target;Adaptive feature fusion module realizes the weighted fusion of multi-layer features through multi-layer perception mechanism, improves feature expression ability and target recognition performance.The experimental results show that the method of the application is superior to existing mainstream algorithms in detection accuracy and real-time performance, has good engineering adaptability and industrial application prospect, and is suitable for furniture manufacturing, building material processing and other plate detection scenarios.

1. Name of the product in this design: Industrial Endoscope (High-end). 2. Purpose of this design: For internal inspection in industrial settings. 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.

This invention belongs to the field of concentration detection technology and discloses a novel method and application for measuring isopropanol concentration based on tilt angle. The method includes: sampling and pretreatment of the mixed solution; tilt angle detection and specific gravity calculation; data fitting and concentration correlation; data transmission and cloud platform uploading; and real-time display and closed-loop monitoring. This invention is specifically adapted to the mixed solution system of dampening solution, isopropanol, and water in the water tank of offset printing presses. It is unaffected by small amounts of impurities in the solution, and the equipment is waterproof and dustproof, adapting to the industrial environment of printing workshops. Compared with traditional manual sampling or dedicated concentration meter measurement methods, this invention is simple to operate, responds quickly, has low detection costs, and can provide real-time concentration data feedback. It is suitable for online monitoring of isopropanol concentration in industrial production scenarios such as offset printing, and has strong practicality and promotional value.

This invention discloses a robotic hand and robot. The robotic hand includes a palm, multiple fingers, a drive module, and linkages. The robotic hand of this invention has 16 degrees of freedom, suitable for performing high-precision tasks such as precision assembly and micro-manipulation. It can achieve more complex finger postures and grasping actions, adapting to the grasping needs of objects of different shapes and sizes. It provides stable force transmission, facilitating precise force control, and is suitable for operations requiring precise force feedback. It has high mechanical strength and wear resistance, a relatively simple structure, reduces potential failure points, and is suitable for industrial environments with long-term continuous operation. The drive module can be standardized for easy mass production and maintenance. The finger structure is modular, allowing for flexible configuration according to application requirements, reducing manufacturing costs and maintenance difficulty. It can balance high-precision positioning with high-flexibility operation, meeting the stringent requirements of modern industry for efficient and precise operations, and can be applied to various scenarios such as precision assembly and complex logistics sorting.

The present application relates to the technical field of intelligent manufacturing and industrial artificial intelligence, in particular to a man-machine cooperation flexible job shop scheduling method based on offline reinforcement learning, which firstly standardizes mathematical modeling of man-machine cooperation double-resource flexible job shop scheduling problem; constructs a heterogeneous scheduling graph containing three types of heterogeneous nodes of process, machine and worker; designs a multi-attention feature extractor; constructs a quantile alignment Actor-Critic offline reinforcement learning framework based on uncertainty control to complete robust offline policy training; and finally realizes end-to-end real-time scheduling decision through the trained model. The present application can complete model training without online environment interaction, has high solution accuracy, strong generalization ability, low deployment cost and high decision robustness, and is suitable for man-machine cooperation flexible production scene in the industrial 5.0 environment.

The application discloses a sealant detection model incremental learning system for an industrial environment and a method thereof, and belongs to the technical field of industrial detection and machine learning. The system comprises an NG sample collection module, a knowledge distillation update module, a stable plasticity balance module, a feature invariance constraint module and a model evolution management module. Through a selective knowledge distillation strategy, the model learns new defect patterns while maintaining known defect recognition ability. Through a stable plasticity balance framework, the learning strategy is dynamically adjusted. Through feature invariance constraint, cross-batch stability is ensured. The application improves the detection rate of the detection model from 89% to 96.3%, and reduces the false positive rate by 43%.

This invention provides a gear power transmission device for a speed reducer, relating to the field of gear reducer technology. The device includes a speed reducer body and an intelligent monitoring and self-cleaning system mounted on a base plate. This invention, through real-time monitoring of multiple parameters such as oil viscosity, abrasive particle concentration, and morphology, can accurately capture early anomalies and effectively distinguish wear types. After diagnosing anomalies, it can automatically purify the lubricating oil online, removing harmful abrasive particles without stopping the machine, effectively extending the lifespan of the oil and equipment. The highly integrated multi-functional modules within a unified detection box result in a compact structure, improving the overall reliability of the system and avoiding the looseness and unreliability issues of external structures in harsh industrial environments, thus enhancing the intelligence level of fault diagnosis. The introduction of machine learning-based automatic particle morphology recognition technology replaces offline analysis relying on professionals, lowering the technical threshold and making fault diagnosis more intuitive and efficient.

This invention discloses a visual detection method for industrial production safety targets that integrates progressive feature pyramids. It acquires images of key areas in industrial settings, optimizes the target detection model through a lightweight feature extraction network and a dynamic threshold decision mechanism, introduces an adaptive feature pyramid network (AFPN) and an improved detection head structure, and enhances multi-scale feature fusion capabilities for detection. A hierarchical early warning system is constructed to achieve rapid response, accurate push notifications, and closed-loop management. A visual control system is configured to output the early warning results. This invention does not require additional dedicated detection equipment and is compatible with existing surveillance cameras or conventional industrial cameras in industrial settings. It can be implemented simply through algorithm optimization and architecture upgrades, effectively improving the feature capture efficiency for safety hazard targets of different distances and sizes, and significantly reducing category confusion and judgment errors in complex industrial scenarios.

This application discloses an industrial video surveillance multi-sensor linkage early warning device, including multiple sensor modules (such as temperature sensors, smoke sensors, vibration sensors, and gas concentration sensors), a video surveillance module (camera), a data processing module, an early warning module, and a communication module. The multiple sensor modules collect industrial environmental parameters in real time, the video surveillance module performs video monitoring, the data processing module receives and processes the sensor data and video data, determines whether there are any abnormalities, and if an abnormality is detected, controls the early warning module to issue an early warning signal. Simultaneously, the communication module transmits the data and early warning information to a remote monitoring terminal. The sensor modules and video surveillance module are mounted on an adjustable bracket, and the device also includes a power supply module. This device achieves comprehensive, real-time monitoring and timely early warning of the industrial environment, improving the safety and reliability of industrial production.

A method, system, and computer program product configured to perform operations including: defining a workflow including a plurality of steps of an industrial process executed in an industrial environment; generating a digital twin of the industrial environment; identifying activities in the workflow that are candidates for cloud service validation by running simulations of different executions of the workflow in the industrial environment using the digital twin, wherein each of the activities includes one or more of the plurality of steps; determining confidence levels of cloud services configured to validate performance of the activities; and optimizing usage of the cloud services based on the confidence levels

The utility model discloses a kind of fixed structures for liquid level meter, including liquid level meter body, first protective shell, second protective shell and clamping assembly, by setting first protective shell and second protective shell and being set in glass tube outer wall, reliable physical barrier can be formed, this barrier can effectively block the direct collision of external object and other accidental impact, to properly solve the problem that traditional liquid level meter glass tube is exposed to break easily, significantly prolong the service life of glass tube, simultaneously, using two groups of clamping assembly to the first protective shell and second protective shell are positioned, not only can ensure that protective shell and glass tube, elbow keep relative fixed between, avoid protective shell shift due to vibration, shaking in industrial environment, guarantee the stability of protective effect, first protective shell and second protective shell can also be realized to quick disassembly, provide convenience for the maintenance, overhaul etc. Operation of liquid level meter.

The utility model relates to the technical field of cleaning robot, and disclose a vacuum cleaning automatic cleaning robot, including cleaning robot, connecting pipe robot, relay robot and central cleaning dust removal system, the input of cleaning robot is provided with hose, the other end of hose is installed in the output of connecting pipe robot, central cleaning dust removal system is provided with a plurality of end pipe orifice, relay robot is set below the middle position of hose, and relay robot is located between cleaning robot and connecting pipe robot, the utility model discloses the combination of automatic floor cleaning robot and central vacuum cleaning system, realizes factory automation ground cleaning function, liberates the labor, and the factory environment is cleaned, and the health of worker is guaranteed, because using central dust removal system, automatic cleaning robot will not need to take dust box, filter and fan, the smaller noise when working, simple structure is easy to maintain, and it is more applicable to the harsh industrial environment.

This invention discloses a method and system for high-precision temperature and humidity regulation in industrial energy-saving air conditioning, relating to the field of high-precision temperature and humidity regulation in industrial energy-saving air conditioning. It is used for temperature and humidity regulation in industrial environments with localized heat loads, including: acquiring operating status information of heat source equipment and estimating a first heat load intensity based on the operating status information; identifying environmental parameter collection points related to the first heat load intensity based on the first heat load intensity; delineating the boundary of a first control area based on the environmental parameter data collected by the environmental parameter collection points and a preset threshold; and executing an independent regulation strategy for the first control area. The regulation strategy is used to adjust the environmental parameters of the first control area and to perform compensatory regulation on adjacent areas.

The application discloses a high-temperature material temperature measuring device and method, and belongs to the technical field of industrial temperature measurement. The measuring device comprises an outer tube, an inner tube, an infrared sensor and a reflector. The outer tube is used for being inserted into and contacting a measured material. The inner tube is coaxially arranged in the outer tube and does not contact the outer tube. At least one light-transmitting part extending along the axial direction of the inner tube is arranged on the tube wall of the inner tube. One end of the inner tube is an open end, and the infrared sensor is located at the open end of the inner tube. The reflector is located in the inner tube and is used for receiving infrared radiation of the inner wall of the outer tube through the light-transmitting part and reflecting the infrared radiation to the infrared sensor. The application solves the problem of how to long-term and reliably measure the temperature distribution of a material under the premise of not greatly damaging the structure of equipment in a high-temperature and harsh industrial environment.

1. Name of the product in this design: Industrial Endoscope (Mid-range). 2. Purpose of this design: For internal inspection in industrial settings. 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.

The invention provides a spatio-temporal network multi-physics field prediction method and system based on physical information and double attention, and the method comprises the steps: obtaining thermal process multi-physics field spatio-temporal sequence data generated based on high-fidelity three-dimensional CFD simulation, and carrying out the fusion alignment of the data and actual measurement time sequence data of limited measurement points of an industrial site, forming a standardized multi-channel training sample; constructing a basic physical information depth space-time prediction model, wherein the basic physical information depth space-time prediction model comprises a double attention fusion module, a physical perception hybrid encoder and a physical constraint multi-field decoder; training the basic physical information depth space-time prediction model by adopting the standardized multi-channel training sample to obtain a target physical information depth space-time prediction model; and inputting to-be-predicted data into the target physical information depth space-time prediction model by adopting a sliding window, and recursively predicting future multi-physical field evolution. The problems that traditional numerical simulation is poor in real-time performance, a pure data driving model is insufficient in physical consistency, and whole-field measurement of an industrial site is difficult are effectively solved.

An environmentally-aware, multi-parameter adaptive adjustment industrial classification system includes an environmental sensing module, a multispectral imaging technology module, and an ultra-high-speed imaging system module located in the sorting workshop, as well as a central control unit located in the control room. A multimodal data fusion algorithm module processes the acquired images of different spectra and multidimensional feature images to extract classification features. The central processing unit incorporates a time-series analysis algorithm to analyze and predict historical data collected by the environmental sensing module. By analyzing the changing trends of environmental parameters, it predicts future changes in environmental parameters and dynamically adjusts imaging parameters to achieve automatic classification of industrial materials. This invention improves classification stability. By monitoring industrial environmental parameters in real time and automatically adjusting imaging technology and algorithm parameters, the classification system can better adapt to complex and changing industrial environments.

A debris collection hopper system for collecting and emptying debris in manufacturing and industrial environments. The debris collection hopper system includes a hopper assembly for receiving and releasing collected debris. The hopper assembly is pivotably connected to a base assembly and is designed to move between an upright position and an emptying position.

1. Name of the product in this design: Portable Material Detector. 2. Application of this design: It can be used as a material detector, i.e., for detecting the composition of media in industrial settings; it can also be used as a calibration instrument. 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.

This invention discloses a bearing fault diagnosis method and related device for new operating conditions with limited data, belonging to the field of bearing diagnosis technology. Addressing the challenges of scarce fault data and variable operating conditions in industrial settings, the proposed bearing fault diagnosis method employs a two-layer fractional-order differential enhancement mechanism: at the input layer, multi-order fractional-order differential operators are used to capture subtle temporal fluctuations in bearing vibration signals; at the feature layer, an adaptive distributed fractional-order feature extraction mechanism is designed, utilizing the nonlocal correlation of fractional-order calculus to characterize the dynamic evolution of deep features. The overall framework relies on a meta-learning paradigm, enabling the model to acquire efficient initialization priors through meta-training on a known set of operating conditions. This invention significantly improves diagnostic accuracy and robustness under conditions with very few samples, effectively solving the problem of rapid diagnostic deployment for rotating machinery under complex and variable operating conditions.

The utility model provides a kind of industrial grade wireless signal transmission device, it is related to industrial internet of things technical field, comprising: the input end of signal input circuit is connected to the sensor set on industrial equipment, output end is connected to main control chip, for sending sensing signal to main control chip;Wireless transmission module, access main control chip and with industrial controller wireless connection, for sending sensing signal to industrial controller and receiving the control signal issued by industrial controller;The input end of signal output circuit is connected to main control chip, output end is connected to the execution component on industrial equipment, for directly controlling execution component according to control signal.It is beneficial to provide wide voltage input through built-in signal input circuit, can connect various sensors in industrial environment, support direct current loop through built-in signal output circuit, can directly control execution component, without relying on relay to realize signal relay, improve the response speed and reliability of industrial grade wireless signal transmission device.

A method for monitoring timestamps in data (100) acquired by a data acquisition device (101, 201a, ..., 201n, 302, 303), wherein the data acquisition device (101, 201a, ..., 201n, 302, 303) includes a real clock (203a, ..., 203n) and a virtual clock (202a, ..., 202n), timestamps (102) are assigned to the data according to the real clock, and the virtual clock advances in substantially constant steps, and the data (100) is indexed (103) according to the virtual clock, the method comprising: receiving index values ​​(103, 103a) and corresponding timestamps (102, 102a) from the data (100), predicting timestamps of subsequent index values ​​based on the index values ​​and corresponding timestamps, as well as previous index values ​​(103) and corresponding timestamps (102), to generate predicted timestamps of subsequent index values, receiving real clock timestamps of subsequent index values, - Based on the acceptance criteria associated with the real clock timestamp and the predicted timestamp, the real clock timestamp or the predicted timestamp of the subsequent index value is provided.

The present application relates to the technical field of internet of things equipment in industrial environment, and specifically relates to a collaborative management system and method for heterogeneous high-low temperature boxes, the collaborative management system comprising an equipment layer, a collection layer, a communication layer and an application layer, wherein the data collection service unit comprises a temperature box communication module, a private protocol analysis module, an MQTT communication module and a JSON data packet analysis and encapsulation module, and the disclosed system management method comprises the following steps: a protocol analysis step; a data collection software development step; a data collection service deployment step; a message communication step; and an application layer software development step, wherein the data collection software internally completes bidirectional data conversion and externally provides a unified JSON data interface, and the disclosed collaborative management system models temperature boxes of different manufacturers and models into a standard equipment model, thereby eliminating the heterogeneity of the equipment.

A robotic system is provided. In some embodiments, the robotic system integrates a wheel base, height adjustment mechanism, and gimbal assembly to provide enhanced mobility and adaptability for various applications. The wheel base features both an active wheel assembly, which drives the robot, and a passive wheel assembly that aids in weight distribution, allowing for multidirectional movement while maintaining stability. The height adjustment system includes a lifting structure with multiple connection assemblies capable of rotational movement, enabling the robot to transition between compact and extended states for versatile height adjustments. Additionally, the gimbal assembly comprises a support body and a gimbal module that facilitates the module's transition between flat and vertical positions. Together, these components create a robust and flexible robotic platform suitable for diverse tasks in industrial settings and challenging environments.

The invention relates to a method for determining and providing a recycling value for a field device used in an industrial environment, wherein the field device is composed of several components made of different materials, wherein the field device is assigned information about the mass of the materials used in the field device or in the components of the field device, wherein current daily raw material prices of the materials used in the field device or in the components of the field device are determined, and whereby a recycling value is provided to a user based on the mass specifications and the current daily raw material prices of the materials, which corresponds to the current monetary value of the field device or the current monetary value of a component of the field device in the case of recycling.

A protective device is provided for couplers of hoses used in pumping concrete. The device includes two device halves configured to enclose the hose coupler and to secure together using a tool-free detent pin assembly having a shaft, spring-loaded ball bearings, and a manually operable extraction feature. Each device half includes a coupler channel to inhibit longitudinal movement and a sacrificial exterior layer over a wear indicator. The wear indicator may comprise a cellular or scaffold structure or a layer of contrasting color beneath the exterior surface. Visual exposure of the indicator signals the need for replacement. The protective device is configured to move with the hose during pumping operations, preventing abrasion damage to flooring surfaces caused by hardened concrete residue on couplers. The design supports low-cost fabrication, simplified replacement, and enhanced protection of finished floors in commercial and industrial environments.

This invention discloses a control system and its circuit based on dual-axis electromagnetic brake drive, including a power supply and protection unit, a dual-axis brake drive unit, a dual-axis brake detection unit, and a drive isolation unit. Through the synergy and combination of the above units, four key technologies are formed: integrated symmetrical dual-axis drive, dual-signal redundant enable logic, isolated precision monitoring, and multi-level anti-interference protection. These technologies work together to overcome bottlenecks and achieve the goals of high-precision, high-reliability, and high-safety control. Its advantages include: (1) The symmetrical dual-channel architecture significantly reduces the timing deviation of dual-axis braking, improving positioning accuracy and equipment stability; (2) The innovative redundant logic can achieve PLD-level safety and eliminate the risk of over-cutting; (3) The use of an isolated detection unit greatly improves voltage sampling accuracy and anti-interference; (4) The circuit structure of the multi-level protection network is adaptable to more complex industrial environments.