29results about How to "Achieve intelligence" patented technology

The invention discloses an intelligent tooling for paving a photovoltaic module and a control method thereof, the method is suitable for a robot end effector, and the method comprises the following steps: collecting three-dimensional space point cloud data of the photovoltaic module to generate pose information of the photovoltaic module, and controlling the end effector to carry out adaptive pose adjustment according to the pose information; the tooling is controlled to press down, and after it is judged that fitting is in place by monitoring the compression stroke of the suction cup, a vacuum adsorption instruction is started; the adsorption state is judged based on vacuum pressure change curve parallel monitoring and a dynamic balance algorithm, and a carrying permission signal is generated after a preset adsorption success condition is met; continuously carrying out anomaly detection in the carrying process, and if an anomaly is found, triggering a fault processing strategy; and releasing the negative pressure to place the photovoltaic module after the target position is reached, and rechecking the placement pose. Intelligent and self-adaptive picking and placing of the photovoltaic module by the tooling are realized, and the reliability, the safety and the automation level in the carrying process are improved.

The invention relates to the technical field of cleaning equipment, in particular to a scrubber water volume intelligent control method and system based on cleaning feedback, and the method comprises the steps: confirming a water volume control database by using a data simulation unit, obtaining a cleaning confirmation parameter set based on the water volume control database, receiving a target cleaning parameter set selected by a user based on the cleaning confirmation parameter set, when the target scrubber detects a detection area with detection stains in the initial cleaning ground, a detection stain image and detection stain humidity of the detection area are obtained, target cleaning water quantity is retrieved from the water quantity control database by using the target cleaning parameter set and the detection stain humidity, and the detection area is cleaned by using the target cleaning water quantity. And the sewage gray value of the sewage after cleaning and the cleaning stain image of the detection area after cleaning are obtained, and after it is confirmed that the detection area is clean according to the detection stain image, the cleaning stain image and the sewage gray value, intelligent control over the water amount of the target floor washing machine is achieved. According to the invention, intelligent control of the water quantity of the scrubber can be realized.

The invention discloses a railway tunnel intelligent construction method and system based on axial plane collaboration, and relates to the technical field of railway tunnel construction.The method comprises the steps that geological exploration data and tunnel face and drilling data of a construction area are collected, and a geological model is established; determining stratum characteristics based on the field data, and reconstructing a geologic body through a Monte Carlo simulation method; geological information and drilling data in the reconstructed geologic body are verified, and a reconstructed reference image is generated; repairing the image by means of an AI model until a reconstruction requirement is met, and generating a blasting section reconstruction geology; finally, according to the reconstructed geology and geologic model, a blasting construction scheme is formulated, and automatic operation of construction machinery is guided. According to the method, the geological exploration data and the tunnel face and drilling data are utilized to predict and complement the front stratum geology, so that the blasting and construction design is more reasonable.

The invention discloses a transformer substation model construction method based on laser point cloud and visual data, and relates to the technical field of transformer substation model construction.The transformer substation model construction method based on the laser point cloud and the visual data comprises the following steps that an equipment model library is constructed based on equipment data in a transformer substation; obtaining a substation field depth prediction map by using monocular depth estimation; calibrating the substation field depth prediction map based on the point cloud data; obtaining three-dimensional model data of the substation equipment based on the calibrated substation field depth prediction map; according to the transformer substation model construction method based on the laser point cloud and the visual data, by means of monocular depth estimation and automatic processing of the point cloud data, dependence on manual modeling is reduced, and the modeling process is more efficient; the equipment model library is constructed based on the equipment data, so that high equipment precision in the model library is ensured; and the depth prediction map is calibrated by using the point cloud data, so that the accuracy of the three-dimensional model is improved.

The invention relates to the technical field of communication, and relates to a model switching method, device and equipment. In the application, a terminal device determines that a model switching condition is satisfied, and sends an analysis subscription request to a core network device through an accessed target access network device; receiving at least one piece of AI model related information fed back by the core network equipment through the target access network equipment; the AI model related information is related information of an AI model which is determined from a model list by the core network equipment based on UE analysis subscription request information and UE capability information included in the analysis subscription request and is matched with the terminal equipment; obtaining model switching configuration information through the target access network equipment based on the at least one piece of AI model related information; and determining the switched target AI model based on the model switching configuration information, and executing a model switching process. Through an interaction process among the access network, the terminal and the core network, model switching is realized, different wireless scenes are adapted, network intelligence is realized, and overhead is reduced.

The invention relates to the technical field of traditional Chinese medicines, in particular to a traditional Chinese medicine composition liniment for treating vitiligo and a preparation method of the traditional Chinese medicine composition liniment. The concentrated liquid medicine, 3-OH phlorizin and vegetable oil are mixed, and the liniment is obtained; and bottling and storing. Various Chinese herbal medicine components are prepared into the liniment, the liniment aims at improving skin conditions and promoting pigment recovery in an external application mode, the extracted Chinese herbal medicine components and 3-OH phlorizin are added into the vegetable oil, the adding amount and proportion are controlled, the dispersion uniformity and effect of the final liniment are ensured, parameters are determined according to actual working procedure conditions, and the liniment has the advantages of being simple in structure, convenient to use and high in practicability. According to the liniment preparation device, production requirements of different batches are flexibly met, so that stability and intelligence of batch production are achieved, intelligence of the production process is achieved by automatically monitoring and adjusting opening and closing of the feeding valve, the liniment preparation process is optimized, product quality and stability are improved, and production intelligence and adaptability are enhanced.

This application relates to a monitoring intelligent processing method, apparatus, device, and medium based on transfer learning. The method includes: acquiring monitoring data via IoT communication connected to monitoring devices; preprocessing the data to obtain initial monitoring data; performing data analysis on the initial monitoring data to obtain labeled business segments and non-business segments; generating a decision scheme and executing the decision scheme when triggered, while sending the business segments and non-business segments to an integrated intelligent monitoring processing center; training an integrated model based on the business segments and non-business segments to obtain a target integrated model and target monitoring feature data; performing transfer learning based on the target monitoring feature data to generate multiple target lightweight models, and deploying these multiple target lightweight models to the connected devices. This application improves the intelligence and efficiency of monitoring intelligent processing, meets the requirements of real-time monitoring, and reduces the cost of monitoring video storage.

The present invention discloses a method, device, electronic device and readable storage medium for recommending text words and sentences. The method comprises: obtaining a keyword or a key sentence, wherein the keyword or the key sentence is a keyword or a key sentence selected in the text, or a keyword or a key sentence obtained in an input box; performing recommendation prediction on the keyword or the key sentence to obtain M recommended words and sentences; screening out N candidate words and sentences that meet preset screening conditions from the M recommended words and sentences; and displaying the N candidate words and sentences. The above scheme realizes the convenience and intelligence of text word and sentence recommendation and improves the accuracy of text word and sentence recommendation.

The present invention discloses a spherical coordinate type thin plate intelligent reconfigurable drilling fixture, which is composed of three major parts: mechanical, detection and control. Mechanical part: including multiple positioning clamping units, edge positioning plates, base mounting plates and connecting components with spherical coordinates as the positioning method; detection part: including vacuum pressure sensors located at the ends of the units, laser displacement sensors located at the sides of the units and the bottom mounting plates, servo motor encoders and data acquisition devices; control part: including PLC and driver. The present invention can automatically adjust the clamping layout of multiple positioning clamping units according to the changes in the drilling position of the thin plate and the real-time deformation of the workpiece with the help of the detection part and the control program, so as to reduce the deformation of the thin plate caused by its own weight and cutting load during the drilling process, and ensure the processing accuracy required by the process.

The invention discloses a two-in-one optical sensor with a liquid turbidity and dust concentration detection function, which comprises a circuit board, and the circuit board is provided with a power supply, a power supply conversion module, a central processor module, a data interaction module, a data interaction interface, a light emission control module, a light emission module, a light receiving module and a signal processing module. The power supply is used for supplying power to the light emission control module and the signal processing module, and the data interaction interface is used for receiving a command of a client upper computer and sending a detection command to the data interaction module or outputting a final detection result to the client upper computer. And the data interaction module is used for converting the command and transmitting the converted command to the central processing unit module. The optical sensor integrates various modules, so that in the working process of the suction and mopping all-in-one machine, the mass concentration of tiny dust in gas and the cleanliness of liquid can be obtained by utilizing visible light or infrared light of a special wave band, and then the cleaning mode is adjusted, the cleaning efficiency is improved, and intelligentization is achieved.

The embodiment of the present application provides a self-moving device and a control method thereof. In the embodiment of the present application, on the basis of using the same device body, different functional modules can be replaced according to application requirements to realize a self-moving device with different functions and supporting multiple operation modes, so as to achieve the purpose of enriching and intelligentizing the functions of the self-moving device; in addition, by reasonably sorting the multiple operation modes required for the operation task, the device body can more reasonably return to the workstation to replace different functional modules, which is conducive to saving the time of returning to the workstation to replace different functional modules, reducing the interruption time of the operation task, and improving the operation efficiency and user experience; or, by reasonably sorting the multiple operation areas involved in the operation task, the device body can carry the functional modules required by each operation area and perform the operation task in each operation area in sequence, which is conducive to meeting the personalized needs of the user and improving the user experience.

This utility model relates to a spiral propulsion type cooling device for filler material, including a filler pipe, coolers, and a spiral propulsion system. The filler pipe is used to transport filler material. Several coolers are present, with at least two coolers installed on the outer wall of the filler pipe along the filler material transport direction. The temperature of the coolers gradually decreases along the filler material transport direction. The coolers are used to cool the filler material in the filler pipe. The spiral propulsion system is installed in the filler pipe and is used to push the material through the filler pipe for transport. With the above configuration, multiple coolers work together to continuously cool the filler material in the filler pipe while it is being transported, resulting in good cooling effect, high efficiency, simple structure, convenient operation, and low cost.

The utility model relates to the technical field of air tightness testing, and discloses a heating tube air tightness testing device, which comprises a rack, an upper plate I is fixedly arranged in the rack, a heating tube is fixedly arranged above a heating tube base, and an air inlet tube is arranged in the heating tube base. The heating tube upper die is fixedly installed at the bottom of the first upper plate, the heating tube base is fixed between the heating tube upper die and the quick-change lower die base, the interior of the heating tube base is sealed, then the air inlet pipe is connected with an external high-precision airtight instrument, compressed air of 8 mpa to 12 mpa is injected, and the air inlet pipe is connected with the air inlet pipe through the external high-precision airtight instrument. After injection is conducted for one minute, pressure stabilization is stopped, whether the internal air pressure has a difference value or not is detected, if no difference value exists, it represents that the sealing performance is good, if the difference value exists, marking is conducted, follow-up processing is conducted, and therefore the effects of being simple in operation and improving the detection efficiency are achieved.

The application discloses an intelligent visual projection method and system suitable for optical imaging, wherein the system comprises a visual stimulation control module for setting a visual stimulation control signal; an image output module for generating full-spectrum visual stimulation and light intensity according to the visual stimulation control signal; a spectrum switching module for receiving the full-spectrum visual stimulation and the light intensity and outputting first specific spectrum visual stimulation; an infrared light source module for outputting infrared spectrum visual stimulation; a spectrum processing module for filtering preset green spectrum signals of the first specific spectrum visual stimulation and integrating the infrared spectrum visual stimulation to output second specific spectrum visual stimulation; and an image stimulation focusing module for fine-tuning the projection area and light intensity of the second specific spectrum visual stimulation and projecting the second specific spectrum visual stimulation to a visual tissue region. The application can solve the problem that the prior art cannot meet the research demand of visual neural optical signals and has the characteristics of intelligence, automation, precision and no optical pollution.

The application discloses a data-driven manufacturing system sustainability evaluation and improvement method, which belongs to the technical field of manufacturing system sustainability evaluation and improvement, and specifically comprises the following steps: S1, obtaining process yield and material consumption data, and constructing an environmental load rate based on the material consumption data and a preset energy value conversion rate database; S2, obtaining photoresist sensitivity and production cycle coincidence, and establishing a nonlinear coupling relationship model for representing the coupling relationship between the process yield and the environmental load rate; and establishing a sustainability index calculated from the energy value output rate and the environmental load rate; S3, constructing a digital twin model with controllable process parameters as input and outputting predicted process yield and predicted environmental load rate; and then solving the optimal process parameters for maximizing the sustainability index through a reinforcement learning decision engine, and generating a process recipe to realize closed-loop control. The application solves the problem that the traditional method cannot comprehensively evaluate multidimensional performance.

The invention discloses a high-temperature molten urea pump, which relates to the technical field of molten urea pumps. The pump comprises a molten pump body, a urea inlet pipe connected to one side of the molten pump body, and an impeller body rotatably connected in the molten pump body. The pump comprises a cooling component connected to the molten pump body. The cooling component comprises a coolant delivery channel provided in the impeller body for circulating coolant. The two ends of the impeller body are rotatably connected with a first rotary joint and a second rotary joint respectively. The preheating component is connected to the molten pump body. The temperature control and regulating component provided in the invention realizes continuous cooling of the coolant in the coolant storage tank, and heats the solution in the preheating solution storage tank to preheat the urea solution. In addition, the thermistor can sense the inlet temperature of the impeller body, so that the first conductor and the second conductor can provide accurate heating and cooling effects according to different urea temperatures, thereby realizing intelligent and controllable temperature regulation.

The invention provides an integrated information management system for physical examination, relates to the field of medical information management, and solves the problems of data islands, lack of continuous services, poor function compatibility and limited application of an existing physical examination system. The system comprises a client health examination subsystem which is used for providing query, reservation and presentation services of multiple types of health examination information for health examination clients and feeding back operation information of the health examination clients to a hospital health examination subsystem; the health examination module is correspondingly connected with different hospital business systems and carries out data interaction, the intelligent examination guiding module calculates a flow path of health examination according to operation information of an examination customer, and the health management module carries out data interaction with the health examination module. Health physical examination information and continuous health management service of health state prediction and return visit are provided for the physical examination client; according to the invention, data resources are fully utilized, and better physical examination service is provided.

The invention provides a network security protection method and device and electronic equipment, and belongs to the technical field of data processing. The method comprises the following steps: inputting equipment flow data into a network threat identification model to obtain a network threat identification result output by the network threat identification model; the network threat identification model is constructed based on a first base classifier, a second base classifier and a main classifier; the first base classifier and the second base classifier are respectively trained based on a Tri-training algorithm; the main classifier carries out training based on an improved Tri-training algorithm, and when the main classifier is trained based on the improved Tri-training algorithm, training sample selection is carried out based on a prediction result of the first base classifier, a prediction result of the second base classifier and a prediction result of the main classifier; and determining a network security protection strategy based on the network threat identification result. The problem that intelligent and accurate identification and dynamic defense of network threats cannot be realized is solved.

The application belongs to the field of simulation and is particularly related to a large language model role interaction system based on plot driving and tool calling, which comprises a role mapping module, a state library module, a plot evolution module, a scene behavior constraint module, a tool calling module and a conversation generation module. The role mapping module generates a language-characteristic feature set according to user input; the state library module initializes plot parameters according to the feature set; the plot evolution module drives plot logic based on a plot rule engine, dynamically generates a role behavior target, a tone strategy and a tool calling request or a random branch event; the scene behavior constraint module generates a behavior constraint rule set from a multi-scene behavior constraint rule library according to a scene identifier and a plot event; the tool calling module responds to the request and obtains a response result parameter of an external tool; and the conversation generation module integrates all the above information, drives a large language model to generate a coherent role conversation combined with a scene, an action and a tool. The application improves the personalization, coherence, scene adaptability and functional integration of role interaction.

The utility model discloses an induction type ceiling lamp which comprises an inductor, an installation disc, a diffusion ring, a back plate, a light source belt, a shell, a light source plate, a light-transmitting panel and a power source driver. A light source belt is laid around the edge of the upper surface of the light source plate; the light source plate with a light source belt is arranged at the bottom of the back plate; the light-transmitting panel is assembled in the shell and is positioned below the back plate in the shell; the diffusion ring is arranged on the upper surface of the back plate; a power supply driver and a sensor are assembled on the inner side of the mounting disc, and the mounting disc is fixedly connected with the back plate through a fastener; and the back plate is provided with a light outlet hole site. According to the utility model, the microwave sensor is adopted to control the work, the sensitivity is high, the detection distance is long, the influence of light, temperature and airflow is small, and the spatial position of a target and the movement of a human body can be detected in a larger spatial range, so that the lamp is controlled to be automatically turned on and turned off, intelligence and energy conservation are achieved, and the practicability and intelligence are remarkably improved.

The present application relates to the technical field of intelligent transportation and vehicle behavior prediction, in particular to a real-time trajectory prediction method for over-limit and over-load vehicles based on collaborative filtering, especially to a trajectory prediction method for over-limit and over-load vehicles, combining multi-dimensional behavior clustering and BiLSTM-Transformer hybrid model, introducing a DBSCAN clustering step based on multi-dimensional comprehensive similarity, which can automatically and accurately classify over-limit and over-load vehicles with similar behavior patterns into the same group. The most similar group is matched for the target vehicle for model training, effectively solving the problem of fuzzy model learning target caused by data heterogeneity. At the same time, the hybrid model architecture layer is good at capturing local time series dynamics and short-term driving rules, while the self-attention mechanism of the encoder can effectively model global long-distance dependence and complex trajectory patterns, and the two complement each other, thus achieving a leap in prediction accuracy as a whole. The algorithm can automatically identify noise points, further enhancing the robustness of the method to data noise.

The present invention discloses a path planning method for a river channel walking device, which realizes the accuracy, intelligence and adaptability of path planning in the process of river channel dredging through technical means such as multi-dimensional information acquisition, landform image similarity matching, multi-unit path planning and fusion, and real-time dynamic adjustment of water flow parameters. The method can effectively improve the dredging efficiency, reduce the operation risk, optimize the overall performance of river channel dredging operations, accurately match the river channel landform characteristics; dynamically adjust the dredging path; monitor water flow parameters in real time; intelligently plan the path; and improve the safety and accuracy of dredging operations.

The application belongs to the technical field of intelligent manufacturing and production scheduling, and particularly relates to an LLM and reinforcement learning method and system for AGV flexible workshop scheduling, which comprises the following steps: (1) multi-objective cooperative initialization: initial solutions with advantages in maximum completion time and total energy consumption are generated to form an initial population; (2) multi-objective search guided by LLM: the distribution state of the population in the multi-objective space is analyzed by a large language model, and the crossover and mutation strategies are dynamically adjusted to guide the population to approach the Pareto optimal frontier; (3) multi-objective local search driven by Q-learning: based on the Pareto level and target value of the current solution, an energy-saving neighborhood operation is adaptively selected by Q-learning for local optimization; (4) multi-objective feedback and population cooperation: the multi-objective performance indicators of the population are monitored in real time, the LLM guidance strategy and the Q-learning exploration rate are dynamically adjusted according to the feedback, and the convergence and diversity of the population are maintained.

This invention discloses a wire winding machine and method for winding steel wire around high-strength concrete pipe cores. The invention uses two winding reels to clamp and position the wire-winding component. A drive motor rotates the positioned winding reels and the wire-winding component, while a wire-releasing mechanism releases the wire, enabling the wire winding machine to wind the component. Simultaneously, under the operation of a wire sensor and an automatic control device, the winding process is monitored in real time, achieving intelligent and automated monitoring of the wire winding machine. Furthermore, the cooperation between the guiding mechanism and the wire-releasing mechanism improves the transmission of the wire during release, enhancing the tension of the wire and maintaining appropriate tension during transmission. The guide plate also restricts the range of motion of the wire, thereby improving the winding effect on the outside of the component.

The invention relates to the technical field of three-dimensional modeling, and discloses a knowledge graph-driven automatic evolution type factory component three-dimensional modeling system, which comprises the following modules: a ternary fusion knowledge graph construction module used for integrating component physical attributes, connection rules and semantic constraints; the GCN self-inference engine module is used for realizing automatic relation inference of an unknown component combination; the community co-evolution module is used for supporting a user to contribute a new component and completing verification updating; the alliance chain evidence storage and right and interest guarantee module is used for guaranteeing data security and knowledge contribution rights and interests; and the standardized interface module is used for realizing seamless integration with industrial software. According to the technical scheme, multi-dimensional attributes and constraints of components are integrated through the ternary fusion knowledge graph, automatic reasoning of unknown component combination relations is achieved in combination with a GCN self-reasoning engine, the intelligent and precise effect of component three-dimensional modeling is achieved, and the problems that it is difficult to adapt to novel component combinations, and assembly logic recognition is inaccurate are solved.

The present invention discloses a turbine volute cleaning control method and platform based on twin simulation, which relates to the field of intelligent control technology. The method includes: using a sensor device group to collect real-time data of a target turbine volute, building a three-dimensional twin model based on this and its structural information, setting multiple cleaning scenarios containing cleaning parameters, performing multiple cleaning simulations through models and parameters to obtain results and formulate strategies, evaluating the simulation results to optimize the control strategy, and finally combining the model to execute the optimization strategy to perform intelligent cleaning control on the target turbine volute. The technical problems of unsatisfactory cleaning effect, low degree of automation and poor adaptability to different turbine volutes in the existing turbine volute cleaning method are solved, and the intelligent, precise and efficient cleaning of the turbine volute is achieved, and the technical effect of the cleaning quality is guaranteed.

The invention provides an intelligent manufacturing digitization platform for magnetic material products, and relates to the technical field of intelligent manufacturing digitization of magnetic material products. The system comprises a digital platform framework, and the digital platform framework comprises an acquisition layer, a network layer, a platform layer and an application layer, has the capabilities of heterogeneous data acquisition, aggregation, business modeling, business arrangement, application construction and the like, and realizes integration of supply chain collaboration, production management, equipment health, safety and environmental protection; and the acquisition layer mainly comprises a service terminal involved in an industrial enterprise application scene. By applying technologies such as big data and the Internet of Things, flow of enterprise data is perfected, links such as design, research and development, production and manufacturing, quality control and equipment maintenance of enterprises are connected in series, execution of a production plan is fed back to ERP in time, a black box in the production process is opened, transparent, efficient and intelligent production is achieved, and whole-flow monitoring of the production process is achieved.

The utility model relates to the technical field of emergency water tanks, and provides an emergency water tank which comprises a tank body, and a water inlet pipe communicated with the interior of the tank body is fixed on one side of the outer wall of the tank body; a liquid level sensor and a water pumping assembly are installed in the box body, the tail end of the water pumping assembly penetrates out of the upper portion of the outer wall of the box body, a rainwater collecting assembly communicated with the box body is installed on the upper portion of one side of the box body, and electromagnetic valves are installed on the water inlet pipe, the water pumping assembly and the rainwater collecting assembly. A smoke concentration sensor, a smoke alarm and a control panel are mounted on the box body; the intelligent emergency water tank has the advantages that the water consumption can be automatically controlled according to the smoke concentration, the intelligence of the emergency water tank is embodied, fire disasters can be remotely monitored and effectively controlled through starting and stopping of the water pumping assembly and the remote control system, rainwater can be received by the rainwater collecting assembly and stored in the tank body, and the intelligent emergency water tank is convenient to use. And natural resources are fully utilized.

The embodiment of the invention discloses carrying equipment which comprises a caching part, a loading part, a grabbing part, a supporting module and a transferring part, the caching part is connected with the supporting module and arranged on the first side of the supporting module, and the caching part is used for bearing various types of to-be-transferred objects; the loading component is connected with the supporting module and arranged on the second side of the supporting module, the first side is different from the second side, the grabbing component is connected with the supporting module and arranged on the second side of the supporting module, the transferring component is arranged on the loading component, and under the condition that a grabbing instruction is received, the transferring component is arranged on the loading component. And the grabbing component is used for transferring to-be-transferred objects between the loading component and the target storage space, and the transferring component is used for transferring the to-be-transferred objects between the loading component and the caching component. The embodiment of the invention further discloses an information processing method.