49results about How to "Design intelligence" patented technology

The invention discloses a BIPV intelligent design and optimization platform control system based on BIM, and particularly relates to a BIPV intelligent design and optimization technology, which comprises a data batch division module, a BIPV data acquisition module, a BIPV data analysis module, a comprehensive evaluation module and a real-time early warning feedback module. The data batch division module is used for determining to-be-collected data as target data and dividing the target data into different batches according to an equitime division mode; the BIPV data acquisition module comprises a system performance data acquisition unit and an environment data acquisition unit; the BIPV data analysis module comprises a system performance data analysis unit and an environment data analysis unit; the comprehensive evaluation module comprises a BIPV intelligent design analysis unit; and the real-time early warning feedback module is used for establishing a BIPV intelligent design rationality index preset value and judging the BIPV intelligent design rationality index value according to the BIPV intelligent design rationality index preset value.

The present invention belongs to the field of construction site safety technology, specifically a construction site construction safety assessment system, the system includes: a scene reconstruction design module, a data perception module, a data communication module and a data processing module. The present invention has the beneficial effects of being able to realize real-time, accurate and comprehensive data collection and transmission of construction sites, improving the data quality and timeliness of construction safety assessments; being able to realize clear, intuitive and dynamic scene reconstruction and display of construction sites, improving the visualization and interactivity of construction safety assessments; being able to realize scientific, objective and consistent risk analysis and assessment of construction sites, improving the systematicness and reliability of construction safety assessments; being able to realize efficient, accurate and intelligent design and construction optimization and adjustment of construction sites, improving the optimization and automation of construction safety assessments.

The invention relates to the technical field of riding wearable equipment, and discloses a riding direction sensing method, system and helmet based on voice control instruction recognition, and the method comprises the steps: receiving a voice instruction of a rider through an embedded voice recognition module; the head motion sensing module detects and analyzes the motion trail and posture change of the head of a rider, monitors the orientation, rotation speed and head motion state of the head of the rider in real time, and senses and obtains head motion data of the head of the rider in real time; acquiring environment sensing data in real time through the environment sensing module, and feeding back the environment sensing data to the cloud navigation processing system; the cloud navigation processing system receives the voice instruction, the head motion data and the environment perception data for fusion processing, and calculates the current position, the driving direction and the target route of the rider; and the cloud navigation processing system generates a corresponding voice navigation instruction and feeds back a riding route planned in real time to the rider through the audio playing module, so that safer and more convenient riding experience is realized.

The invention relates to a traffic road parking area monitoring system applying signal detection, and the system comprises a traffic flow detection device which is used for detecting traffic flow data of a traffic road and outputting the traffic flow data as on-site traffic flow information; and the expelling notification device is used for executing the on-site expelling action on the non-taxi vehicles in the temporary taxi parking area on the side surface of the traffic road when the non-taxi vehicles exist in the filtered and sharpened image serving as the on-site optimized image. The traffic road parking area monitoring system applying signal detection is intelligent in design and stable in operation. When the geometric curve corresponding to a certain closed curve in the field optimization image is matched with the geometric curve of the reference outline corresponding to the non-taxi vehicle, the existence of the non-taxi vehicle in the field optimization image can be judged; meanwhile, the on-site expelling action of non-taxi vehicles in the temporary taxi parking area on the side face of the traffic road is executed, and therefore orderly management of the road environment is achieved.

The present invention relates to an image display system utilizing wireless downloading, comprising: a wireless downloading device, arranged at a smart agriculture server end, for downloading corresponding farmland remote sensing images from remote sensing satellites based on the positioning data interval corresponding to the monitored farmland; a quantity analysis mechanism, for obtaining the numbers of various noise types respectively obtained by various filtering algorithms respectively input into an AI intelligent judgment model, and using the filtering algorithm corresponding to the minimum number of noise types as the optimal filtering algorithm for the filtered sharpened image. The image display system utilizing wireless downloading of the present invention has stable operation and intelligent design. Since it is possible to obtain the numbers of various noise types respectively obtained by various filtering algorithms respectively input into an AI intelligent judgment model, the filtering algorithm corresponding to the minimum number of noise types is used as the optimal filtering algorithm for the filtered sharpened image to perform filtering processing on the filtered sharpened image, thereby achieving the best filtering effect for the image quality of each frame of the displayed image.

The present invention relates to a green screen primary color judgment system for Internet live broadcast, comprising: a time-sharing acquisition device, used to complete an acquisition operation of a live broadcast screen of a commodity for sale at set time intervals to obtain a corresponding current acquisition image; a last-layer capture mechanism, used to determine that the entity of the green screen plane structure has a color anomaly when the standard deviation of the reference color channel values ​​corresponding to each pixel row occupied by the green screen plane structure in the sequential operation screen is greater than or equal to the set standard deviation limit. The Internet live broadcast green screen primary color judgment system of the present invention is intelligently designed and widely used. Since the entity of the green screen plane structure is judged to have a color anomaly by using the various visualization contents obtained by targeted screening of the green screen plane structure, it is used to determine whether the entity color of the green screen plane structure matches the primary color corresponding to the green screen plane structure, thereby ensuring that the overall color of the live broadcast screen is not distorted.

The invention relates to a distributed type number storage application system, and the system comprises a signal extraction device which is disposed at a big data service network element and is used for obtaining a target image to be subjected to special effect analysis, and the target image to be subjected to special effect analysis comes from a target camera mechanism; and the model application mechanism is arranged at the big data service network element and is used for judging the type number of the special effect processing type of the target image based on the resolution of the target image, the multiple auxiliary data of the target image and the multiple auxiliary data of the Bayer image by adopting an AI analysis model. The distributed type number storage application system is reliable in logic and intelligent in design. The AI analysis model designed in a customized structure can be adopted to intelligently analyze the special effect processing type of the target image in the target camera mechanism based on each part of basic data screened in a targeted manner, so that a monitoring end is helped to improve the content cognition degree of the target image.

The invention relates to a man-machine interaction system applying image component acquisition. The man-machine interaction system comprises a mark processing mechanism, a content input mechanism, a multiple enhancement mechanism, a content judgment device and a transfer operation device. The man-machine interaction system applying image component acquisition is intelligent in design and simple and convenient to operate.

The invention relates to a modularized dustproof shed capable of being rapidly disassembled and assembled for GIS installation and maintenance. A ceiling is installed on the top of a module wall assembly. The base module is mounted below the module wall assembly; the driving wheel assembly and the base module are mutually embedded; the ceiling is connected with the tops of the module wall assemblies on the left side and the right side through locking connecting pieces to form a dustproof shed body which is communicated in the front-back direction and closed in the left-right direction. The GIS equipment and the environment monitoring and purifying equipment are arranged in the dustproof shed body; a front curtain cloth and a rear curtain cloth which are separated from the middle to two sides are arranged on the dustproof shed body; the air shower is installed on the outer side of the module wall assembly. The modular assembly process is used, the side walls and the shed cloth of the whole dustproof shed are divided into a plurality of modular assemblies, and the assemblies can be folded, are small in occupied area and are convenient to transport and unfold.

The invention relates to a logistics resource allocation system which comprises a first capturing part, a second capturing part, an object training mechanism, an information analysis mechanism, a resource allocation mechanism and the like. The logistics resource allocation system is intelligent in design and stable in operation.

The application provides a kind of pareto optimal design method of wireless charging coil, medium, coil and system, it is related to wireless power transmission technical field.The application obtains scene parameters and constraint conditions, defines the boundary conditions and input of optimization;By integrating the weight vector into the state space of reinforcement learning, using the powerful exploration ability of deep reinforcement learning as an efficient search tool, quickly traversing the complex solution space, thus efficiently and globally exploring and obtaining the pareto optimal solution set reflecting the complete trade-off relationship between transmission efficiency and anti-offset performance.The application uses deep reinforcement learning to efficiently explore the design space and obtain a complete set of pareto optimal solutions, allowing for quick selection of optimal coil parameters based on different design preferences, significantly reducing the design cycle, and ensuring that the designed coil achieves the optimal trade-off in physical performance.

The application provides a grating intelligent design method and device applied to a terahertz wave band, and comprises the following steps: obtaining input data and a design target; if the input data is a laser processing parameter and the design target is an optical characteristic, inputting the laser processing parameter into a pre-constructed forward prediction model to obtain a grating structure prediction result; inputting the grating structure prediction result into a pre-constructed forward design model to obtain an optical characteristic design result; if the input data is optical characteristic data and the design target is a laser processing parameter, inputting the optical characteristic data into a pre-constructed reverse design model to obtain a grating structure prediction result; and inputting the grating structure prediction result into a pre-constructed reverse prediction model to obtain a laser processing parameter design result. The application realizes forward rapid prediction and reverse intelligent design of a whole process including a process-device-performance through intelligence, high efficiency and low cost.

The present invention relates to a distribution box data analysis system using a BP neural network, comprising: a visual acquisition mechanism, which is arranged opposite to a visual inspection station and is used to perform visual picture acquisition on the front of a distribution box whose front width is to be inspected; a content mapping mechanism, which is used to intelligently analyze the real-time width value of the front of the distribution box according to various pixel point information corresponding to the front of the distribution box and item-by-item curvature data corresponding to the front of the distribution box using a BP neural network model. The distribution box data analysis system using a BP neural network of the present invention has stable operation and intelligent design. Since the real-time width value of the front of the distribution box can be intelligently analyzed using a BP neural network model based on various visual information of the distribution box shell, the BP neural network model is a BP neural network that has been trained a set total number of times, thereby completing the intelligent analysis of the front width of the current distribution box.

The invention provides an optimal design method and device for a track floating slab track bed. The method comprises the steps of performing data alignment on time domain signal data of a plurality of detection devices, performing spectral analysis on aligned track bed vibration acceleration signal data, and performing optimal design on the floating slab track bed according to a spectral analysis result. Since the feature points in the time domain signals correspond to the events that the train specific structure passes through the detection devices, and the data alignment is realized by combining the preset distances among the detection devices, the automatic data alignment can be realized. Furthermore, the inherent frequency of the floating slab ballast bed can be obtained according to the spectral analysis result of the aligned ballast bed vibration acceleration signal data, and after the difference value between the inherent frequency and the ideal frequency is calculated, the mass of the floating slab ballast bed and / or the rigidity and the geometric dimension of the vibration isolator elastic unit can be optimally designed according to the difference value. Therefore, the damping performance optimization design of the floating slab ballast bed with higher accuracy and higher intelligence can be realized.

The invention relates to an image big data analysis system, which comprises a data analysis device used for aiming at each surrounding coded image block, taking the number of non-zero numerical values respectively existing in each corresponding difference block as the number of each part, performing mean value processing on each part number to obtain a corresponding reference numerical value, obtaining each reference value corresponding to each surrounding coded image block; and the block selection device is used for taking the surrounding coded image block corresponding to the reference value with the minimum value in the reference values as a candidate image block for intra-frame coding. The image big data analysis system is intelligent in design and wide in application. A reliable selection mode can be determined by adopting a specifically designed signal processing mechanism, and is used for selecting the most reliable reference image block from each surrounding image block of the image block to be subjected to intra-frame coding, so that the adaptive level of intra-frame coding is enhanced.

The invention relates to an insulator state analysis system based on sequence enhancement processing, which comprises a coordinate processing mechanism and a sequence enhancement processing mechanism, the intelligent analysis module is used for intelligently analyzing an entity deformation level corresponding to the target insulator based on vertical coordinate data and horizontal coordinate data of each edge pixel point of an occupied pattern corresponding to the target insulator, the total number of each edge pixel point and a reference aerial view contour pattern corresponding to the target insulator; and the information forwarding mechanism is used for executing network transmission of the deformation excessive information of the target insulator when the entity deformation grade exceeds the limit. The insulator state analysis system based on sequence enhancement processing is intelligent in design and wide in application. The entity deformation grade corresponding to the target insulator can be intelligently analyzed based on various visual data of the target insulator and the reference aerial view contour pattern corresponding to the target insulator, so that non-contact high-precision shape analysis of the entity of the target insulator is completed, and the working performance of the target insulator is prevented from being influenced.

The invention relates to an intelligent community management system. The system comprises a picture acquisition device, an intelligent generation device, a data storage device, a classification recognition mechanism and a type issuing mechanism. The intelligent community management system is intelligent in design and has certain pertinence, and the intelligent level of the video monitoring end can be improved.

The invention relates to the technical field of micro-high-pressure oxygen-enriched cabins, and discloses a wearable micro-high-pressure oxygen-enriched cabin, which comprises a wearable garment comprising a body and a head cover, the head cover is arranged at the top of the body and is in sealed connection with the body, and a touch screen is arranged at the sleeve part of the body; the oxygen generation compressor is arranged on one side of the body, the oxygen generation compressor is provided with an oxygen inlet pipe and an oxygen outlet pipe which are communicated with the head cover, and the oxygen generation compressor is electrically connected with the touch screen; the sensor assembly comprises a pressure sensor and an oxygen sensor, and the sensor assembly is arranged in the oxygen production compressor; the control module is electrically connected with the oxygen production compressor, the control module is used for collecting real-time information of the sensor assembly and controlling the oxygen production compressor according to the real-time information, and the control module comprises a collecting unit and a processing unit. The wearable micro-high-pressure oxygen-enriched cabin can sit, stand and move slowly after being worn, does not occupy space, can be used in mountaineering plateau zones, can overcome altitude stress, and is small in size and convenient to carry when not used.

The invention relates to a content management system of a smart home router. The content management system comprises a preference storage device, an imaging processing device, a dynamic filtering device, a signal processing device, a data interpolation device, a visual identification mechanism and a target search mechanism. According to the method, the identity of the registered user in the wireless routing environment can be reliably confirmed by adopting a customized secondary confirmation mechanism, and the latest film and television works of the corresponding type are downloaded in advance according to the confirmed preference type of the registered user so as to avoid the busy use time interval of the wireless routing device; therefore, the intelligent level of the intelligent household wireless router device is improved.

The invention relates to a smart city environment warning system which comprises an environment detection mechanism, a signal induction mechanism, a continuous enhancement mechanism, a first-stage detection device, a component storage device, a second-stage detection device and a voice warning device. The smart city environment warning system is intelligent in design and has certain pertinence.

The present invention relates to a real-time alarm system for fire in a power transmission line, comprising: a heat detection device for detecting the heat value of the environment where the power transmission line is erected, so as to output the real-time heat data; a regional analysis device for judging whether to send a fire detection success signal based on the fire intelligent analysis result; and an alarm execution device for executing a fire alarm action corresponding to the fire detection success signal when receiving the fire detection success signal. The real-time alarm system for fire in a power transmission line of the present invention can judge the image area matching the fire color imaging feature from the real-time filtered image corresponding to the environment where the power transmission line is erected according to the fire color imaging feature as the image area to be analyzed, analyze the image area to be analyzed to judge whether there is a fire, thereby completing the automatic alarm operation of the environment where the power transmission line is erected.

The invention relates to an illegal behavior confirmation strategy operating system for an internet live broadcast room. The system comprises an instant video recording mechanism which is used for carrying out video recording action on a live broadcast scene of a live broadcast room with violent tendency report records so as to obtain each video recording image corresponding to each video recording moment; and the confirmation processing mechanism is used for confirming the live broadcasting room with the violence tendency report record as a violence playing live broadcasting room when the bloodstain object is determined to exist in the cubic interpolation image. Through the system, when it is determined that the bloodstain object exists in the live broadcast image of the live broadcast room with the violence tendency report record, the live broadcast room with the violence tendency report record is determined to be the violence playing live broadcast room, and otherwise, the bloodstain object is determined to be the violence playing live broadcast room. And the live broadcasting room with the violent tendency report record is not confirmed as the violent playing live broadcasting room and is still reserved as the live broadcasting room with the violent tendency report record, so that the accuracy and the efficiency of confirming the violent playing live broadcasting room are improved.

The present invention relates to a multi-network element structure big data processing system, comprising: a second big data processing network element, which determines the image block that best matches the content of the current image block to be encoded of the frame to be encoded from each image block of the reference image block set as the target image block, and uses the target image block to perform the image block selected when performing the inter-frame encoding of the first color component as the image block used for the inter-frame encoding of the second color component; a third big data processing network element, which obtains the binary data stream of the inter-frame encoding of the second color component of the frame to be encoded. The multi-network element structure big data processing system of the present invention has compact logic and intelligent design. Because the dynamic block inter-frame encoding operation based on the number of edge pixels of the image block to be encoded is completed by adopting the big data analysis mechanism of the multi-network element structure, and the reference image block of the encoded color component is used to perform the inter-frame encoding of other color components, the speed and efficiency of the inter-frame encoding are improved.

The invention relates to a building protection system, and the system comprises a parameter application mechanism which is used for judging whether a building and a flight obstruction light are in a touch state or not through a customized visual analysis mechanism; and the early warning execution mechanism is connected with the parameter application mechanism and is used for executing field early warning operation corresponding to the lack of the light body to trigger secondary confirmation of the lack of the flight obstruction light in the building when the building and the flight obstruction light are judged to be in a non-touch state. The building protection system is intelligent in design and easy and convenient to operate. A customized visual analysis mechanism can be adopted to judge whether the building and the flight obstruction light are in a touch state or not, and an early warning execution mechanism is further introduced to execute on-site early warning operation corresponding to the lack of the light body so as to trigger secondary confirmation of the lack of the flight obstruction light in the building when the building and the flight obstruction light are judged to be in a non-touch state. Therefore, the risk that a building is easily collided by an aircraft due to lack of a flight obstruction light is avoided.

The invention discloses a sound effect algorithm tuning module design method and device, equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: generating a target prototype parameter design framework according to an initial algorithm prototype and new parameters; generating an algorithm prototype adaptation code based on the target prototype parameter design framework; designing a sound effect algorithm tuning module for an algorithm tool according to the algorithm prototype adaptation code; through the above mode, after the newly added parameters are obtained, the target prototype parameter design framework is comprehensively generated in combination with the initial algorithm prototype, then the algorithm prototype adaptation code is generated by using the target prototype parameter design framework, and then the sound effect algorithm tuning module is designed according to the algorithm prototype adaptation code. Therefore, the sound effect algorithm tuning module can be designed online, efficiently and intelligently, the workload of new demand development on an application software side is reduced, the rhythm requirement of intelligent development is met, and the experience feeling of a user is effectively improved.

The invention relates to an intelligent factory inspection system for gas meter reading devices, and the system comprises an automatic production line which is used for producing gas meter reading devices held by a user one by one and sending out a device offline signal when each latest gas meter reading device is offline; and the data identification device is used for sending a dimensional deviation signal when the three-dimensional entity volume corresponding to the latest offline gas meter reading device obtained by intelligent analysis is not in the volume distribution value interval of the gas meter reading device with the standard size. The factory intelligent inspection system for the gas meter reading device is reliable in structure and intelligent in design. The three-dimensional entity shape corresponding to the latest offline gas meter reading device can be determined on the basis of the multiple items of visual data screened in a targeted manner, and then the three-dimensional entity volume corresponding to the latest offline gas meter reading device is analyzed, so that reliable reference information is provided for subsequent installation of each latest offline gas meter reading device.

The invention relates to an express box distribution control system based on visual information, and the system comprises a surface identification device which is used for obtaining the overall depth-of-field data of an express box with the largest occupied area in a last-layer mapping image, the shooting focal length of the last-layer mapping image, and the number of occupied pixel points, the surface area of the express box body with the largest occupied area is mapped; and the enabling control device is used for forbidding the box body shunting mechanism when the surface area exceeds the limit, otherwise, enabling the box body shunting mechanism. The express box distribution control system based on visual information is reliable in structure and intelligent in design. Due to the fact that intelligent measurement of the surface area of the express box body with the largest occupied area can be completed through multiple items of visual data selected in a targeted mode, and when the surface area exceeds the limit, the express box body with the over-limit surface area is prevented from flowing into the box body distribution mechanism to be subjected to box body distribution operation difficult to distribute. Therefore, reliability and effectiveness of distribution management of the express box bodies are improved.

The invention relates to an intelligent community access control response system. The system comprises layer-by-layer construction equipment, step-by-step enhancement equipment, instant imaging equipment, an intelligent judgment mechanism, a monitoring processing mechanism and the like. The intelligent community access control response system is reliable in logic and intelligent in design.

The present invention relates to a distribution network touch state alarm system, comprising: a detachment judgment device, which is used to issue a first judgment instruction when it is judged that the conductor side insulator of the pole tower of the distribution network line has not fallen off, otherwise, it issues a second judgment instruction; a touch alarm mechanism, which is used to execute an alarm action corresponding to the illegal touching of the insulator by the operating electrician before the conductor side insulator is detached when the convolutional neural network model is used to analyze the handover between the insulator and the operating electrician. The distribution network touch state alarm system of the present invention is intelligently designed, safe and reliable. Since it can intelligently analyze whether the insulator and the operating electrician have been handed over based on various on-site visual information, and when the handover between the insulator and the operating electrician is intelligently analyzed, the alarm action corresponding to the illegal touching of the insulator by the operating electrician before the conductor side insulator is detached is executed, thereby providing safety warning information for the safe operation of the operating electrician.

The invention relates to a microcomputer algorithm operating system utilizing content analysis, which comprises a data extraction device arranged in the microcomputer algorithm operating system and used for acquiring the signal-to-noise ratio, the pixel value mean square error, the number of pixel rows and the number of pixel columns of an image where a current coding block is located; and the parameter analysis mechanism is used for intelligently analyzing the coding operand consumed by using the reference coding block to execute intra-frame coding on the current coding block according to the image information of the current coding block by adopting a deep convolutional network model. The microcomputer algorithm operating system using content analysis is stable in operation and intelligent in design. Due to the fact that the object remodeling device arranged in the microcomputer algorithm operating system is introduced and used for analyzing the deep convolutional network model which is designed in a targeted mode, the encoding operation amount which needs to be consumed when any reference encoding block is used for executing intra-frame encoding on the current encoding block is predicted, and therefore a reliable basis is provided for selection of the reference encoding block.