55 results about "Industrial area" patented technology

The present invention relates to the production of a sound-insulating textile surface comprising two fabric layers laminated to each other with the coated surfaces remaining on the inner surface, while the fabric surfaces remain on the outer surface. Providing benefits such as preventing noise pollution, improving sound acoustics and increasing privacy in many sectors from construction sites to production facilities, from homes to offices, from automobiles to industrial areas. The versatility of this fabric offers significant advantages, both aesthetically and functionally.

The present invention relates to the production of a sound-insulating textile surface comprising two fabric layers laminated to each other with the coated surfaces remaining on the inner surface, while the fabric surfaces remain on the outer surface. Providing benefits such as preventing noise pollution, improving sound acoustics and increasing privacy in many sectors from construction sites to production facilities, from homes to offices, from automobiles to industrial areas. The versatility of this fabric offers significant advantages, both aesthetically and functionally.

This invention discloses a YOLO-based method for detecting surface defects on printed circuit boards, belonging to the fields of computer vision and intelligent manufacturing technology. The method includes the following steps: deploying an industrial area scan camera at the inspection station of an automated production line; when a PCB enters the inspection station, the camera is triggered by a sensor to acquire and store images; the acquired image data is processed using data cleaning, data augmentation, and target annotation methods; the processed PCB defect dataset undergoes detailed statistical analysis to optimize the model training strategy; based on the data analysis results, optimization is performed using the YOLOv5 target detection framework to establish a surface defect detection model suitable for PCB production scenarios. This invention can effectively improve the automation level and detection accuracy of defect detection, is suitable for modern large-scale batch production of PCBs, and has good engineering application prospects and industrial promotion value.

This invention discloses a production method for preparing artificial land using various types of stones, a complete technology for preparing artificial soil through on-site crushing and application to the comprehensive transformation of national land. This invention employs on-site mobile processing, avoiding transportation costs. A single unit can produce soil for 1500 mu (approximately 100 hectares) annually, with a standard farmland cost of only 2658 yuan per mu, and the cost of remediating polluted farmland not exceeding 10,000 yuan per mu. The produced soil has a thickness of 33.3 cm, does not compact, and has extremely high water retention; even after 10 days at high temperatures, the moisture content of the lower layer still reaches 70%. Heavy metal content in the soil and agricultural products is far below national standards, mercury was not detected, and it is safe to grow all grains and vegetables. This invention can be applied on a large scale to the remediation of polluted farmland and the enhancement of carbon sequestration in industrial areas. It can rapidly increase soil carbon sequestration, lower temperatures, and transform ineffective rocky land into high-yield farmland, completely solving global problems such as the extremely slow formation, rapid loss, non-renewability, arable land shortage, and global warming of natural soils. One-time transformation benefits millennia, possessing extremely high economic, ecological, and social value.

The utility model discloses a skid-mounted pressurizing hydrogenation device capable of improving hydrogenation rate, which comprises a hydrogen storage module, a pressurizing module and a hydrogenation module which are all fixed on a skid-mounted base of a steel frame structure. The hydrogen storage module adopts a high-pressure storage tank and a low-pressure buffer tank which are connected in series, the high-pressure storage tank is connected with a quick connector through a tube bundle vehicle interface, a hydraulic control regulating valve in the low-pressure buffer tank is driven by a first hydraulic cylinder, and a tank body is provided with a pressure gauge for monitoring pressure; the pressurization module comprises a hydraulic drive booster pump and a gas-liquid separator, the hydraulic drive booster pump is driven by a second hydraulic cylinder, the gas-liquid separator separates liquid through a perforated plate, and a liquid outlet is connected with a recovery pipeline; the hydrogenation module is connected with high-pressure and low-pressure filling channels through a hydraulic control switching valve, and hydrogenation connectors are arranged at the tail ends of the channels. The device realizes rapid pressure increase through hydraulic drive pressurization, the switching valve supports rapid switching of high pressure and low pressure, the positioning groove fixing module ensures efficient deployment, and the device is suitable for scenes such as concentrated hydrogen supply in green parks or temporary hydrogenation in industrial areas.

The present application relates to the field of industrial energy consumption data monitoring, and more particularly to a water and electricity energy consumption data monitoring method and system based on edge computing, which comprises: preprocessing the historical data of water meters and electricity meters in the industrial area, performing cluster analysis to form water meter clusters and electricity meter clusters, and deploying an isolation forest model on each corresponding edge node of the clusters. The model is trained using the clustering results, and the model weights are updated according to new data to adapt to data changes. Real-time data is input into the updated model, and an anomaly score is calculated to evaluate whether the energy consumption data is abnormal, thereby achieving accurate water and electricity energy consumption monitoring. By training and deploying an isolation forest model on the edge node for different device clusters, and dynamically updating the model weights combined with the similarity of the new data set, the adaptability and accuracy of water and electricity energy consumption anomaly detection are significantly improved.

The present application relates to the technical field of cathodic protection, in particular to a complex buried pipe network cathodic protection optimization method under current interference, comprising the following steps: collecting the data of soil resistivity, pipeline material and environmental humidity from differentiated industrial areas by adopting field sampling method, obtaining environmental parameter characteristics by analyzing the variability and correlation of the data.In the present application, the model can be accurately adjusted to various complex interference conditions by simulating the scene test of the environment, optimizing the distribution of current and potential, not only improving the stability of the cathodic protection system in the variable interference environment, but also realizing the fine adjustment of current and potential parameters through the simulation and multiple simulation tests of electromagnetic field data, significantly improving the corrosion prevention effect of buried pipe network and the overall efficiency of the system, ensuring the long-term safety and stability of buried pipe network in complex current interference environment through real-time monitoring and adjustment, significantly prolonging the service life of the facility.

The invention relates to a cross-modal industrial data efficient cleaning and semantic unification method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps of collecting multi-modal original data of a target industrial area through multiple communication protocols, and performing format analysis on the multi-modal original data to obtain initial data; according to the data type of the initial data, cleaning the initial data, and respectively converting various types of cleaned data into structured feature vectors to obtain target feature vectors; on the basis of a cross-modal attention mechanism, performing feature fusion on each target feature vector to obtain a cross-modal fusion feature; mapping the cross-modal fusion feature to a unified semantic space to obtain target data; and outputting the target data by using a standardized data interface. By adopting the method, the complexity and the isomerism of the multi-modal data in an industrial scene can be effectively handled, and the efficiency and the precision of data cleaning are remarkably improved.

The invention discloses a tracing identification method for industrial wastewater in a municipal pipe network based on a three-dimensional fluorescence spectrum angle algorithm. The tracing identification method is characterized by comprising the following steps: collecting industrial area municipal pipe network confluence well water outside a factory, industrial wastewater raw water in the factory, treated industrial wastewater and a water sample of an enterprise inspection well; mixing the municipal pipe network confluence well water with the industrial wastewater raw water, the treated industrial wastewater and enterprise inspection well water in the factory according to a series of different proportions to obtain three-dimensional fluorescence spectrum data of water samples with different mixing proportions; reading the three-dimensional fluorescence spectrum data obtained after correction in the step 1 in a python environment, flattening the three-dimensional fluorescence spectrum data into a one-dimensional vector, and performing normalization processing on the one-dimensional vector to obtain one-dimensional vectors of each group of mixed water samples; the spectral difference and similarity between samples are compared and analyzed through a spectral angle algorithm, the characteristics of the industrial wastewater are quantitatively evaluated, qualitative recognition of the industrial wastewater in the municipal pipe network is achieved, and the method has the advantages of being efficient, accurate and convenient.

The present invention relates to the production of a sound-insulating textile surface comprising two fabric layers laminated to each other with the coated surfaces remaining on the inner surface, while the fabric surfaces remain on the outer surface. Providing benefits such as preventing noise pollution, improving sound acoustics and increasing privacy in many sectors from construction sites to production facilities, from homes to offices, from automobiles to industrial areas. The versatility of this fabric offers significant advantages, both aesthetically and functionally.

The utility model discloses automatic yardage roll conveying equipment, which belongs to the technical field of yardage roll conveying and is characterized by comprising an intelligent transfer platform, the top of the intelligent transfer platform is movably connected with a yardage roll frame adjusting transfer mechanism, and the top of the intelligent transfer platform is movably connected with a yardage roll transfer anti-scattering mechanism. A roller support in traditional winding and unwinding equipment is independent and is changed into a movable support capable of being transferred through an intelligent transfer platform, guide rails of the intelligent transfer platform are arranged in a plurality of operation areas in an industrial area, the movable support can conduct positioning transfer on the positions of all the operation areas, and therefore the purpose that the intelligent transfer platform can be used for transfer is achieved. When rolling is needed, the movable support without the yardage roll on the storage roller can be transferred to a discharging area of the rolling device to be positioned and clamped, the movable support and the rolling device are integrated, after the yardage roll is stored, the storage roller bearing the yardage roll can be supported through the movable supporting plate, and the yardage roll is prevented from being scattered.

The application discloses a point gluing assembly method of a high-temperature silicon pressure sensor, belongs to super-precision operation in the micro field, is applied to high-precision assembly of a pressure chip and a fixed tube seat in the high-temperature silicon pressure sensor, and particularly relates to camera calibration of a double-microscopic visual system, feature recognition of a point gluing hole of the pressure chip and a metal pin of the fixed tube seat and a high-precision alignment assembly strategy. Different from manual or semi-automatic alignment assembly adopted in the industry, the application calibrates the mapping relationship between an industrial area array camera and a world coordinate system and the mapping relationship between double-camera coordinate systems, carries out coordinate conversion on feature information collected by the microscopic vision, and realizes alignment and assembly of the pressure chip and the fixed tube seat of the high-temperature silicon pressure sensor by using the obtained coordinate information. The method avoids the fact that manual assembly error is large, nanosilver paste used in point gluing assembly overflows, and glue stress after solidification influences pressure measurement precision.

This application discloses an industrial area inspection method, apparatus, electronic device, and storage medium, relating to the field of intelligent detection. The method includes: determining abnormal area identification results based on a pre-trained target detection model using visible light images, thermal imaging images, and acoustic imaging images of the inspection area; extracting corresponding abnormal defect parameters according to the type of abnormal defect, and generating natural language report text and annotation guidance information through a large model; performing consistency verification on the annotation guidance information until the verification passes; annotating the visible light image based on the verified annotation guidance information to obtain a visualized annotated image; determining the fault risk level and target risk suggestion corresponding to the abnormal area based on the abnormal defect parameters, and displaying the natural language report text, visualized annotated image, fault risk level, and target risk suggestion as the inspection result to the user. The above technical solution improves inspection efficiency and intelligence.

The invention discloses an industrial product surface flaw detection system based on deep learning, and relates to the technical field of computer vision, and the system comprises a high-resolution image acquisition module which employs an industrial area-array camera, matches a lens and a multi-wavelength annular LED light source, and triggers shooting through the linkage of an encoder; the preprocessing module is used for processing the image through graying, adaptive filtering, CLAHE enhancement and distortion correction; the deep learning detection module is used for training a data set containing multiple materials and multiple flaws by adopting an improved YOLOv9 model and fusing an attention mechanism and multi-scale features; the defect fine classification module is used for extracting deep features and classifying the deep features through a full connection layer and Softmax; the result processing and feedback module is used for outputting a detection result in real time and dual-storing data; and the system self-adaptive calibration module ensures the detection precision through regular and dynamic calibration. The system adapts to multi-material products, the detection speed meets the requirement of a high-speed production line, maintenance is easy, the system adapts to a new production line quickly, industrial quality inspection intelligence is promoted, and the enterprise operation cost is reduced.

The invention relates to industrial area inspection equipment which comprises a camera body and a dust removal mechanism installed on the camera body, the dust removal mechanism comprises a shell, an impeller and a driving mechanism, a plurality of exhaust holes are formed in the inner edge of the front portion of the shell, a plurality of air inlet holes are formed in the rear portion of the shell, the impeller is installed in the shell, and the impeller comprises a rim and a plurality of blades. The outer wall of the rim is of a gear ring structure and protrudes out of the shell, the blades are installed on the inner wall of the rim, and the driving mechanism is used for driving the impeller to rotate. According to the technical scheme, the air inlet hole and the exhaust hole are formed in the two ends of the shell respectively, so that the shell forms the air flow channel, the impeller is arranged in the shell, the driving mechanism drives the impeller to rotate, and air is sucked into the shell through the air inlet hole and exhausted through the exhaust hole; if yes, air washing is continuously performed on the front part of the camera body, so that the air in the front part of the camera is always in a vibration state, and the attachment effect of dust in the air on the camera body is reduced.

The invention discloses a power distribution device and an energy storage cabinet power distribution system, and the device comprises a power distribution box, a power conversion system module, a first airflow guide assembly and a second airflow guide assembly, and the air inlet side and the air outlet side of the power distribution box are respectively provided with a first noise reduction structure and a second noise reduction structure. A flow guide channel with a silencing cotton assembly is formed in the power conversion system module, so that cooling airflow can be in full contact with silencing cotton in the flow guide channel while flowing through the power conversion system module to achieve heat dissipation, the airflow path is prolonged, linear propagation of noise is weakened, medium-high frequency noise generated during operation of a fan is effectively reduced, and the service life of the fan is prolonged. Therefore, noise suppression is achieved while the heat dissipation efficiency of the system is guaranteed, the phenomenon that in the prior art, noise is too large due to the fact that the number of fans or the rotating speed is increased for meeting the heat dissipation requirement is avoided, and the system is particularly suitable for application scenes with strict requirements for noise such as residential areas and high-end industrial areas.

The invention relates to the field of underground water pollution treatment, in particular to an industrial area underground water pollutant intercepting and repairing system and method. Comprising an intelligent sensing unit, a sewage interception and diversion unit, a purification unit, a central control platform, a distributed sensor group, an edge intelligent calculation module, a pollution flow dynamic engine, a diagnosis strategy module and the like. By adopting the method, the whole-course real-time tracking of the spatial distribution, the migration track and the dynamic change process of the pollution plume can be realized, and the problem of insufficient perception of the dynamic migration situation of the pollution plume caused by data lag in the traditional method is thoroughly solved.

The utility model discloses a nut conveying device, and belongs to the technical field of nut production lines. The top of the base is fixedly connected with an auxiliary base and a nut vibration disc, and a feeding groove is formed in the top of the auxiliary base. A first air cylinder and a second air cylinder are fixedly connected to the outer wall of the auxiliary base, an ejector rod is fixedly connected to one end of a telescopic shaft of the first air cylinder, a stop rod is fixedly connected to one end of a telescopic shaft of the second air cylinder, a supporting arm is fixed to the top of the auxiliary base, and a mounting plate is fixedly connected to one end of the supporting arm. A detection mechanism is arranged on the outer wall of the mounting plate, a servo electric cylinder is fixedly connected to the outer wall of the mounting plate, a protective cover is fixedly connected to one end of a telescopic shaft of the servo electric cylinder, a through hole is formed in the bottom end of the protective cover, and a dustproof mechanism is arranged around the through hole. And during operation, the industrial area-array camera is combined with the image processor to realize real-time nut identification, position detection and defect judgment.

The invention discloses multi-parameter online detection equipment for harmful gas in an industrial area, belongs to the technical field of industrial gas detection, and aims to solve the problems of complicated pressure regulation, poor detection stability, insufficient protection and structural redundancy of existing equipment. According to the technical scheme, the device is characterized by comprising an auxiliary rectangular box, a main rectangular box, a protective top shell, an equipment upper shell, an equipment lower shell and matched parts, the main rectangular box communicates with the auxiliary rectangular box through a rectangular hole, a plugging assembly is arranged in the auxiliary rectangular box, a driving assembly is arranged in the protective top shell, a piston plate II is slidably connected into the main rectangular box, and a piston plate I is slidably connected into the auxiliary rectangular box; the driving assembly is in linkage with the two piston plates to achieve pressure buffering, the plugging assembly is matched with pressure relief and compensation during pressure extreme value, the multifunctional gas detectors are arranged in the upper shell and the lower shell of the equipment and matched with the gas inlet pipe, the connecting pipe and the gas outlet pipe to complete detection, self-adaptive pressure adjustment is achieved through mechanical linkage, additional driving elements are not needed, and the sealing and protecting effects are good. The device is compact in structure and suitable for continuous gas detection in industrial areas.

The invention relates to a device used to capture, in real time, data relating to the presence of work teams and mobile machinery in industrial areas, in a fully autonomous manner and in compliance with Brazilian data protection and labor laws, with the aim of increasing the safety and well-being of workers, the productivity of service provision, and the response capacity of safety teams in emergency situations. The invention comprises an arrangement of electro-electronic equipment that enables increased precision and range in the tracking of workers, in addition to having greater capacity for processing the data captured compared to the products already available on the market, mainly in industrial areas classified as explosion-hazardous, where encapsulation and enclosures are necessary for electronic equipment, and where the metal structures present in such areas can interfere with signal reception.

The invention discloses an on-line monitoring system for cable force deformation of a large-span flexible photovoltaic support. The on-line monitoring system comprises a field data information acquisition layer, a data processing and communication layer and a man-machine interaction layer, the field data information acquisition layer comprises a first data acquisition module arranged on the flexible photovoltaic support; the second data acquisition module is arranged on a meteorological station; the industrial area-array camera is arranged on one side of the flexible photovoltaic support; the data processing and communication layer is in communication connection with the field data information acquisition layer; and the man-machine interaction layer is in communication connection with the data processing and communication layer. According to the on-line monitoring system, real-time on-line monitoring of all parts of the flexible photovoltaic support is achieved, the safety of a power station is guaranteed, the operation and maintenance efficiency is improved, the power generation income is increased, and the service life of equipment is prolonged.

The application provides a direct-current bus type electric vehicle charging system with source-load-storage collaborative management capability, and belongs to the technical field of electric vehicle charging. The system has the following technical advantages: bidirectional energy flow, modular expansion, flexible deployment in multiple scenarios, and is suitable for typical application scenarios such as intelligent buildings, residential areas, industrial areas, microgrids, and grid energy storage nodes, and can effectively overcome the defects of the existing electric vehicle charging system in collaborative management with comprehensive energy systems.

The invention relates to the technical field of atmospheric environment detection devices, and discloses an atmospheric environment detection device for an industrial area. According to the atmospheric environment detection device for the industrial area, a main body assembly comprises a detection device, a wind speed device and a solar panel, one side of the wind speed device is fixed to the detection device, and the solar panel is located below the detection device; the fixing assembly is arranged on one side of the detection device and comprises a supporting piece and a fixing piece, the supporting piece is located on one side of the detection device, and the fixing piece is arranged on one side of the solar panel. Compared with the prior art, the beneficial effects of the invention are that through the arrangement of the fixing assembly, the installation steps of the detection device are reduced, the installation of the detection device is simpler and more convenient, and the installation height of the detection device can be conveniently adjusted.

The application provides a preparation method of a high-performance concrete anticorrosive coating, and relates to the fields of building materials and corrosion protection technology.The coating is composed of component A and component B.Component A comprises epoxy resin, composite solvent, organic solvent, dispersant, fumed silica and leveling agent.Component B comprises epoxy curing agent, conductive polymer dispersion and organic solvent.The composite solvent is composed of one or more of n-titanate, phosphate ester and n-silicate, and is compounded with ester, ketone, alcohol, aromatic hydrocarbon, aliphatic hydrocarbon or ether organic solvent.The preparation method of the anticorrosive coating comprises the following steps: preparing component A and component B, mixing the two components to form the coating, applying the coating to the surface of concrete and curing.The coating has a compact structure and strong adhesion, can significantly improve the durability and anticorrosive performance of concrete in extreme environments such as high-salt and high-acid environments, and is particularly suitable for the protection of infrastructure in coastal and heavy-corrosion industrial areas.

The invention discloses an internet-of-things human settlement ecological command management system, particularly relates to the field of internet-of-things data modeling and analysis, and is used for solving the problem that an industrial park human settlement community lacks intelligent regulation and control management on air dust. According to the system, air dust data and meteorological sensing data of an industrial area are acquired through an acquisition module, and an air dust dynamic data flow is generated; the dust distribution prediction module is used for carrying out time sequence modeling on the dynamic data flow to form dust aggregation distribution prediction; the crowd distribution prediction module is used for constructing a crowd distribution prediction model based on the historical movement track and time distribution of the residents; the risk assessment module is used for spatially superposing an air dust prediction result and a crowd distribution prediction result and assessing an exposure risk; the internet-of-things management module obtains installation coordinates and action ranges of edge regulation and control equipment, maps the installation coordinates and action ranges to a community plane and accesses a unified command and dispatch center; and the regulation and control issuing module is used for issuing a regulation and control instruction by the dispatching center to realize spraying, purification or isolation intervention.

The invention discloses a high-efficiency and energy-saving power distribution box, and relates to the technical field of power distribution boxes, an inner partition metal frame is tightly attached to the surface of a power distribution box body, a weakly alkaline water storage partition frame is mounted on the surface of the inner partition metal frame, and an outer partition metal frame is mounted on the surface of the weakly alkaline water storage partition frame; a conveying pump is installed at the top end of the outer partition metal frame, a four-inclined-face flow guide base is installed at the top end of the outer partition metal frame, and long positioning grooves are formed in the four corner positions of the four-inclined-face flow guide base correspondingly, the conveying pump is used for conveying weakly-alkaline water in the weakly-alkaline water storage partition frame, and the weakly-alkaline water is sprayed out through the long water outlet grooves; the alkalescent water is neutralized with acidic rainwater falling from a seriously-polluted industrial area, corrosion damage of the acidic rainwater to the distribution box is reduced, the distribution box is maintained, the outflow range of the alkalescent water is wider through the four-inclined-plane flow guide base and the four inclined hollow water spraying long plates, and then the alkalescent water can flow from top to bottom to cover the surface of the whole distribution box.

According to the vehicle-mounted liftable sludge concentration device provided by the utility model, through the arrangement of the height adjusting mechanism, the device can adapt to various height limiting conditions by adjusting the height as required in the transportation process. During transportation, the top sleeve can descend into the outer sleeve so as to reduce the overall height, and the vehicle can conveniently pass through obstacles such as a height limiting rod. During use, the height adjusting mechanism can drive the top sleeve to extend out of the outer sleeve, so that the handling capacity is increased, and the working efficiency is improved. Besides, the arrangement of a sealing structure ensures that the joint between the top sleeve and the outer sleeve has good leakproofness, so that the leakage of materials during sewage treatment is effectively prevented, and the treatment efficiency and the treatment quality are improved. Therefore, due to the flexibility and height adjustability of the vehicle-mounted liftable sludge concentration device, the vehicle-mounted liftable sludge concentration device is not only suitable for urban environment treatment, but also can be widely applied to various emergency and special occasions such as hospitals and industrial areas, the transportation convenience is greatly improved, and the application range is wider.

The application discloses an improved multi-objective particle swarm optimization method for solving multi-time-space comprehensive energy system scheduling, and a flow chart is shown in figure one. It is especially related to the fields of operational research, comprehensive energy system, multi-objective optimization, etc. Its components include two parts of model and solving algorithm, wherein the model is a mathematical model of the comprehensive energy system scheduling for the collaborative scheduling multi-time scale rolling optimization of industrial areas, commercial areas and residential areas, and the objective functions are respectively the lowest cost and the lowest carbon emission; the solving algorithm is an improved multi-objective particle swarm optimization algorithm, compared with the traditional algorithm, the local search mechanism is introduced, the storage system is adjusted, and the adaptive adjustment of the inertia weight is adjusted. The model adds the expander to utilize the excess natural gas pressure energy, and compared with the traditional algorithm, the algorithm is more diverse, faster and higher in quality, and effectively solves the problems of the current comprehensive energy system, such as complex environment, too much uncertainty, single target and the like.

1. Name of the product in this design: Energy Storage Lithium Battery (15 kWh). 2. Purpose of this design: This design is a lithium battery household energy storage product, used to supply power to household appliances, industrial areas and other special equipment. 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.

The present application relates to the technical field of atmospheric pollution monitoring, and discloses a plant unorganized emission monitoring and early warning platform based on infrared spectrum technology. In order to solve the problems of analysis distortion caused by spectral baseline distortion in traditional monitoring and lack of adaptive tracing ability of fixed early warning threshold. The platform edge server cascades a spectrum reconstruction deconvolution module, a three-dimensional inversion risk module and an adaptive early warning module; a one-dimensional convolution network is used to jointly reconstruct high-fidelity spectrum and separate multi-component gas by using an adaptive least square method; a three-dimensional leakage source strength is inverted based on a spatial sparse prior Markov chain Monte Carlo engine; and early warning is dynamically determined in combination with a double cumulative sum algorithm. The present application is used for gas monitoring in complex industrial areas, and can accurately locate and adaptively prevent false alarms.