63results about How to "Guaranteed timeliness" patented technology

The invention discloses a WebSocket-based instant message task assigning system. The system comprises two parts, i.e., a server and clients, wherein the server is deployed on an application server and configured with ports for providing external services, and the server is then started; the clients comprises an APP client and a PC client; and information data transmission among the server, the APP client and the PC client is achieved based on the WebSocket protocol, that is, the server provides the instant messaging service, and the clients achieve acquisition of data from the server. Compared with the prior art, the system provided by the invention has the advantages that WebSocket-based instant message task assigning is achieved, and information can be synchronized between the information acquisition clients, so that high timeliness, effectiveness and safety of the information are ensured.

The present application relates to the technical field of power distribution control, and particularly relates to a power intelligent dynamic distribution method for a skid steer loader based on multi-working condition identification. The method comprises the following steps: performing skid steer loader multi-modal operation characteristic analysis on power states of skid steer loader multi-source operation data to generate skid steer loader multi-modal operation characteristic data; performing skid steer loader working condition characteristic analysis on the skid steer loader multi-modal operation characteristic data to generate skid steer loader working condition characteristic data; performing power demand characteristic analysis on working condition dynamic change trends based on skid steer loader real-time operation data and the skid steer loader working condition characteristic data to generate working condition dynamic change trend power demand characteristic data; and performing skid steer loader power distribution and dynamic optimization processing based on the working condition dynamic change trend power demand characteristic data to generate skid steer loader power distribution dynamic optimization data. The present application realizes efficient and energy-saving intelligent distribution of power under multi-working conditions of a skid steer loader.

The invention discloses an integrated bulk machine. The bulk machine comprises a machine body supporting seat, a PLC controller, a silo, a dust collecting system, a lifting system and a telescopic barrel, wherein the silo is arranged on the machine body supporting seat in a penetrated mode and is fixedly connected by a fastener; the dust collecting system comprises a dust collecting fan, a dust collecting pipeline and a dust collecting filter barrel; the silo comprises a feeding port, a collecting bin, a discharging port and a curved valve; and the discharging port is fixedly connected with the telescopic barrel, the lifting system matches the telescopic barrel, and the PLC controller is respectively connected with the dust collecting fan, and the curved valve and the lifting system in a communicated mode. The integrated bulk machine has the advantages that each component cooperates with each other, and the machine is reasonable in design; by means of the machine body supporting seat,the whole device system is stabilized; by means of the dust collecting system, the dust pollution caused by transferring the powder can be eliminated; and by means of the lifting system, the change ofthe length of the telescopic barrel can be achieved, so that the whole device is capable of meeting the requirements of a silo of a vehicle body with different heights, the whole device is easy to operate and convenient to transfer, and the bulk machine has wide adaptability and high stability.

The invention relates to the technical field of sugarcane spica monitoring, and discloses a sugarcane spica flowering intelligent monitoring system, which is characterized in that a hyperspectral image and an infrared image are acquired, the hyperspectral image and the infrared image are acquired and registered into a multi-source image data set, and a spica area binary mask image is segmented; extracting morphological structure characteristics, spectral reflection characteristics and thermal radiation characteristics, calculating a visibility index KJ, a wave band reflectivity BS and a radiation temperature value FP based on the extracted characteristics, calculating a determination value P, and comparing the determination value P with a hybridization threshold ZY; according to the method, the hyperspectral image and the infrared image of the sugarcane spica are collected, the hyperspectral image obtains the fine spectral reflection characteristics of the sugarcane spica so as to analyze the physiological state of the sugarcane spica, and the infrared image is used for assisting in obtaining the overall shape, contour and thermal radiation information of the spica, and especially, the image characteristics are enhanced in a weak light environment; therefore, the sugarcane spica area can be accurately identified, and the effective distinguishing between the spica and the background can be realized.

The utility model provides a kind of mixing device of arterial blood collector, including rotating shaft and the mixing assembly being fixed in its outside, and the side plate of polygon is respectively arranged in the two sides of rotating shaft and multiple bearing plates are fixed on side plate, the detachable blood gas needle loading plate is equipped on the bearing plate, and multiple detachable blood gas needle mounting clips are equipped on the blood gas needle loading plate;The blood gas needle mounting clip is detachably set on the bearing plate.By blood gas needle mounting clip detachably set on blood gas needle loading plate, and blood gas needle loading plate itself also detachably install in the design of bearing plate, effectively solve the core pain point of poor versatility of traditional mixing device.

This application discloses a request processing method, apparatus, electronic device, and storage medium. The request processing system includes at least two hierarchical processing systems. A data layer stores business data for the region corresponding to the hierarchical processing system. An access layer receives requests initiated by clients from the region corresponding to the hierarchical processing system. The method includes: after the access layer in the first hierarchical processing system receives a request initiated by a client from the first region, the routing layer in the first hierarchical processing system determines, among the at least two hierarchical processing systems, the target hierarchical processing system where the target business layer for processing the request is located; the routing layer in the first hierarchical processing system routes the request to the target business layer in the target hierarchical processing system, so that the target business layer obtains the corresponding business data from the target data layer in the target hierarchical processing system and processes the request. This solution achieves effective request processing while ensuring business data isolation.

The present application belongs to the technical field of production scheduling, and particularly relates to a ham sausage low-temperature workshop production scheduling method based on an OPC UA protocol. The steps are as follows: Step 1: a real-time monitoring model is established according to ham sausage low-temperature workshop production operation rules; Step 2: on the basis of the model of Step 1, scheduling rules for multiple devices and raw material use are established; Step 3: different device and raw material use rules are dynamically selected according to real-time field device operation data information and field parameter settings obtained through the OPC UA protocol, to guide field production operation; and Step 4: when the device and raw material use rules are expanded, rules are supplemented according to actual conditions. The present application can quickly select scheduling rules for the complex and changeable production process of a ham sausage low-temperature production workshop, and dynamically adjust the scheduling rules according to real-time field data information obtained through the OPC UA protocol, to improve the utilization rate of the devices, and improve production efficiency and production output.

This utility model provides a film-pulling assembly for a sealing machine, belonging to the technical field of sealing machine technology. It includes a support frame that can slide linearly on the sealing machine; a clamping structure fixed to the support frame, comprising a hinged movable clamping plate, the rotation of which clamps or releases the material; a reset component connected to the movable clamping plate, used to drive the movable clamping plate to rotate and then push it back to its original position; and an electromagnetic component that indirectly drives the movable clamping plate to rotate via electromagnetic force. This utility model allows the reset component to reset the moment the electromagnetic component stops working, thus enabling the reset component to drive the clamping mechanism to clamp and fix the material. This allows the material end to be pulled during the movement of the film-pulling assembly, thereby indirectly improving material processing efficiency.

This application proposes a dual-driven prediction method for the spatiotemporal characteristics of typical coal mine disasters. The method includes: acquiring historically monitored first disaster data and a pre-constructed expert knowledge base; extracting the first temporal features corresponding to the first disaster data based on the corresponding time information; performing statistical analysis on the first disaster data to determine its spatial features; and generating a disaster prediction model based on the first temporal features, spatial features, and the expert knowledge base. This allows the model to achieve dual-driven prediction using both knowledge and data, improving the accuracy and reliability of disaster prediction. It enables timely identification and early warning of typical coal mine disaster risks at the production site, thereby improving the safety and production efficiency of coal mine scenarios.

The application belongs to the technical field of building ventilation, and particularly relates to a building energy-saving ventilation equipment, which comprises a sewage vertical pipe and a sewage elbow pipe, the sewage elbow pipe is communicated with the sewage vertical pipe, an elastic air bag is fixedly installed on the vertical part of the sewage elbow pipe, the elastic air bag is arranged in a ring shape, an air suction pipe is fixedly inserted into the side wall of the sewage elbow pipe and communicated with the elastic air bag, an insulation machine cylinder is fixedly inserted into the side wall of the sewage elbow pipe and communicated with the elastic air bag. The building energy-saving ventilation equipment can automatically ventilate according to the type of excrement, is beneficial to energy saving and consumption reduction, the ventilation position is located around the closestool or squatting pan, the peculiar smell generated by the excrement can be timely dissipated, the temperature change in the toilet caused by ventilation and air exchange can be effectively reduced, the excrement blockage can be assisted to be discharged, the excrement can be automatically timely flushed, and the ventilation and air exchange in the toilet can be ensured to be timely.

This invention relates to a handling robot, and more particularly to a handling robot with autonomous center of gravity adjustment capability. It includes a robot body, a steering component rotatably connected to the robot body, an electric slide rail fixedly connected to the steering component, a clamping component connected to the slider of the electric slide rail, and two opposing fixed plates fixedly connected to the robot body. This invention uses a pressure sensor to monitor the load in real time and drives a linear motor to move the battery compartment horizontally, achieving dynamic autonomous adjustment of the center of gravity. This effectively counteracts the overturning torque caused by heavy loads or high lifting, improving operational safety and stability. Simultaneously, it innovatively introduces a mechanical linkage mechanism that combines a Z-shaped guide groove with a lifting frame, allowing the rollers to be suspended in the air under normal conditions and automatically lowered as the battery compartment moves. This, combined with the energy absorption of a first spring, avoids unnecessary frictional wear while also providing shock absorption and protection.

The application relates to the technical field of artificial intelligence, and discloses a highway side slope deformation intelligent identification and prediction system based on space-air-ground stereoscopic monitoring, which comprises a space-air-ground stereoscopic monitoring module, a data fusion processing module, an intelligent identification module, a deformation prediction module and a central control module; the space-air-ground stereoscopic monitoring module cooperatively collects side slope deformation data by using multi-source heterogeneous sensors, including space satellite remote sensing data, sky unmanned aerial vehicle aerial photography data and ground Internet of Things sensor data, realizes all-weather and multi-scale monitoring of side slope surface displacement, internal stress, crack expansion and environmental factors, guarantees the comprehensiveness and real-time performance of the monitoring data, and eliminates the limitations of a single data source; the data fusion processing module performs space-time registration, denoising and normalization processing on the multi-source monitoring data, guarantees the accuracy and reliability of real-time deformation risk diagnosis, and reduces the false alarm rate.

The utility model provides a kind of quick replacement roller's belt conveyor return roller group structure, it includes: fixed bottom beam, it is made of long angle steel;Two root length direction series arrangement's roller bottom beam, each roller bottom beam is made of angle steel, its upper surface two ends are each fixedly connected with a roller bracket, and each roller bottom beam supports a roller using two roller brackets thereon;Two roller bottom beams are hinged by the hinge lug welded on the adjacent two roller brackets and are realized by hinge shaft, the two right-angled edges of one end of fixed bottom beam are vertically fixed with positioning column, and the two right-angled edges of the other end are interval and provided with two pieces of guide pressing piece, the guide pressing piece and the right-angled edge between fixed bottom beam form the guide gap that can be respectively supplied with the two right-angled edges of roller bottom beam, and the outer end of the two right-angled edges of one roller bottom beam is provided with the positioning socket corresponding with positioning column. The utility model is simple in structure, reasonable, and can guarantee the convenience, timeliness and security of maintenance.

The application relates to the field of thyroid tissue sampling technology and discloses a thyroid tissue sampling needle with a negative pressure adsorption function, which comprises a guide stab needle and a hollow needle tube, a mounting block is arranged on the hollow needle tube, a communication hole in communication with the hollow needle tube is arranged on the mounting block, a communication pipe is arranged on the side wall of the mounting block, the communication pipe is in communication with the communication hole and an external negative pressure device, a fixing block is arranged on the top of the mounting block, a fixed magnetic ring is arranged in the fixing block, a fixed magnetic block and a positioning magnetic block are embeddedly arranged on the guide stab needle; when the fixed magnetic block is attracted to the fixed magnetic ring, the guide stab needle is arranged in a posture that the needle tip part penetrates through the needle tip part of the hollow needle tube; when the positioning magnetic block is attracted to the fixed magnetic ring, the guide stab needle is arranged in a posture that the needle tip part moves into the communication hole, so that the communication pipe is in communication with the hollow needle tube through the communication hole; the application has the advantages of coherent operation, guaranteed sample quality, avoided sample pollution and loss.

The mixer comprises a plurality of raw material barrels, a plurality of peristaltic pumps, a controller and a mixing barrel, a feed port is formed in the top of the raw material barrel, and a discharge port is formed in the bottom; different wine bodies are respectively arranged in the plurality of raw material barrels; a pipeline is arranged at the discharge hole; the peristaltic pump is arranged on the pipeline; the controller is electrically connected with the peristaltic pumps and controls the pumping speed of the peristaltic pumps. The mixing barrel is arranged below the raw material barrel; one end of a pipeline connected with the discharge hole is communicated with the interior of the mixing barrel; a stirring device is arranged in the mixing barrel; and a discharge opening is formed in the bottom of the mixing barrel. The problem that the matching control precision is insufficient due to the fact that wine blending is controlled through an adjusting valve is solved.

This invention discloses a low-consumption flowerpot with automatic water replenishment function, comprising a pot body and, from top to bottom, a soil layer, a mounting layer, and a water storage layer disposed inside the pot body. The soil layer is mainly used to hold soil for planting plants; the mounting layer is used to fix and install a detector, the probe of which extends into the soil layer to detect the moisture content in the soil; the water storage layer is used to store water and install a water supply component, which is electrically connected to the detector. The water supply component determines whether to activate the water supply operation based on the results of the detector. This enables automatic water replenishment.

This application discloses a request processing method, apparatus, electronic device, and storage medium. The request processing system includes at least two hierarchical processing systems. A data layer stores business data for the region corresponding to the hierarchical processing system. An access layer receives requests initiated by clients from the region corresponding to the hierarchical processing system. The method includes: after the access layer in the first hierarchical processing system receives a request initiated by a client from the first region, the routing layer in the first hierarchical processing system determines, among the at least two hierarchical processing systems, the target hierarchical processing system where the target business layer for processing the request is located; the routing layer in the first hierarchical processing system routes the request to the target business layer in the target hierarchical processing system, so that the target business layer obtains the corresponding business data from the target data layer in the target hierarchical processing system and processes the request. This solution achieves effective request processing while ensuring business data isolation.

The application provides a steel pipe hot rolling branch tracking abnormality processing method and device, wherein the method comprises the following steps: determining whether a single-process equipment works abnormally by determining whether a first preset condition is met when a steel pipe from a current process tracking sub-queue enters a next process tracking sub-queue; the first preset condition comprises: no material signal of a last-end detection device of a previous process and no material signal of a detection device in front of the last-end detection device of the previous process, and a material signal is detected at an entrance of a next process; whether there is a single-process multi-branch steel pipe stacking abnormality before and after a single process is determined by the number of steel pipe branches detected by a single-process entrance detection signal and the number of steel pipe branches detected by a preset detection signal at the single process; during the steel pipe hot rolling process, when one of the first preset conditions is detected, temporary feeding and discharging treatment is performed on a production line; and on-site detection signal abnormality judgment is performed, so that the timeliness and accuracy of steel pipe branch tracking in the steel pipe production process in the hot rolling area are ensured.

The utility model relates to positioning welding machine technical field provides a kind of positioning welding machine of convenient cleaning welding edge. It includes welding head, support piece, spring, positioning block and cleaning assembly, the support piece one end rotation assembly in the welding head;The spring one end fixedly connected the support piece away from the one end of welding head, the spring other end fixedly connected the positioning block, the positioning block bottom is spherical surface;The cleaning assembly fixed assembly in the positioning block;The welding head drops and carries out welding work, and the positioning block is compacted on weld by the spring elastic force, the positioning block is embedded in weld and moves along weld in spherical bottom surface, and the cleaning assembly follows the positioning block and carries out cleaning along weld. The positioning welding machine of convenient cleaning welding edge can clean welding edge along weld in synchronous welding process, cleaning is timely and does not need manual operation.

The application discloses a construction behavior anomaly detection method and system based on a lightweight large model, and relates to the technical field of artificial intelligence; the method comprises the following steps: collecting multi-source heterogeneous data of a construction site, including video streams, sensor data and building information model (BIM) data, and performing spatiotemporal alignment preprocessing; constructing a construction behavior analysis architecture based on a lightweight large model, utilizing a lightweight visual feature extraction network and a spatiotemporal graph convolution behavior recognition network to extract entity features, position information and action spatiotemporal features of personnel, equipment and materials; generating a fusion feature vector through a cross-modal feature fusion encoder combined with a self-attention mechanism; finally, utilizing a multi-modal large language model reasoning engine combined with a preset knowledge graph to perform logical reasoning, identifying the interaction relationship between personnel and the environment, thereby determining construction behavior anomalies and generating early warning information. The method effectively improves the accuracy and efficiency of construction site anomaly behavior detection, reduces the consumption of computing resources, and enhances the intelligent level of safety monitoring.

The application discloses a provincial power grid day-ahead plan hierarchical progressive optimization method containing multiple pumped storage power stations, which comprises the following steps: obtaining basic data of a power system; establishing a power system day-ahead plan optimization model containing multiple pumped storage power stations; calculating day-ahead plan output values of wind, light and conventional units; further calculating start-stop plan of each pumped storage unit according to the plan output values; and finally obtaining day-ahead output plan values of each unit by solving the pumped storage start-stop plan. The application can overcome the difficulty in convergence when the scale of integer problems and linear programming problems is large even if mature optimization solvers such as CPLEX and GLPK are used, make large-scale integer linear mixed programming problems converge better, meet the online application requirements of day-ahead plan making, and have important practical significance for fully utilizing new energy and efficiently operating pumped storage power stations.

This invention discloses a fuzzy adaptive intelligent wiper motor control method and system based on noise evaluation. It includes an initial speed curve design module for generating an initial angular velocity curve based on the wiper operating frequency and wiping angle; an adaptive algorithm optimization module that processes real-time wiper operating data through a fuzzy logic controller, outputting speed and acceleration adjustment values; a neural network optimization module that uses a multi-layer feedforward neural network to optimize the fuzzy logic controller parameters to minimize the objective function; and a motor control module that adjusts the motor setpoint in real time based on the optimized adjustment values. This invention solves the problem of abnormal noise from automotive wipers, which is caused by excessive noise or insufficient wiping efficiency due to improper speed control. It significantly reduces operating noise, ensures that the wiping frequency meets regulatory requirements, and improves the adaptability and stability of the control system.

This invention belongs to the field of corrosion information technology and relates to a corrosion data and control platform. The corrosion data and control platform designed in this invention includes a corrosion big data management module, a risk assessment module, a corrosion prediction module, an overall corrosion control module, and a system management module. The corrosion big data management module is used to connect the data interface of the corrosion business system; the risk assessment module is used to calculate risk assessment values ​​based on the operating data of the site and pipeline; the corrosion prediction module is used to calculate the corrosion rate of the experimental object based on the corrosion rate prediction model and the wall thickness prediction model; the overall corrosion control module is used to realize the input or update management of corrosion control information; and the system management module is used to manage the corrosion data and control platform. This platform automates data acquisition, structuring various types of corrosion data, such as site basic data, corrosion failure data, and indoor laboratory data, into a database for centralized and unified management.

Embodiments of the present application provide a context processing method and device, electronic equipment and storage medium, relating to the technical field of large language models. The method guarantees the timeliness of the response through a threshold triggering mechanism during the operation of an industrial large language model inference engine, realizes "zero loss of key information and high compression rate of non-key information" with the help of structured perception and dynamic importance evaluation, and achieves high compression rate and inference acceleration through a hierarchical compression strategy. Finally, through recoverable reconstruction, the compressed context is strictly compatible with the input specification of the large language model, and fully supports breakpoint continuation, full audit and lossless backtracking of original data, thereby solving the multiple contradictions of context management in accuracy, real-time performance, compliance and edge adaptability in industrial scenarios.

This utility model discloses a hook-unhooking robot vehicle and its layout structure, including a driving platform, a hook-unhooking device, a speed-coordination device, and a status data generation, acquisition, processing, and transmission device. The driving platform includes a wheel assembly and a platform main frame connected above the wheel assembly. The hook-unhooking device, speed-coordination device, and status data generation, acquisition, processing, and transmission device are all mounted on the platform main frame. The hook-unhooking device is used to grip the hooking rod and perform the hook-unhooking operation. The speed-coordination device is used to enable the hook-unhooking robot vehicle to travel at the same speed as the truck. The status data generation, acquisition, processing, and transmission device is used to acquire, process, and transmit the status data generated by the hook-unhooking robot vehicle and receive control commands to realize the autonomous driving and operation control of the hook-unhooking robot vehicle. The wheel assembly includes a vehicle track, track wheels set on the vehicle track and connected to the lower part of the platform main frame, and a drive transmission device.

The utility model discloses a kind of warning signs for substation of disassembly and assembly, including fixed groove plate, the inside of fixed groove plate is provided with clamping groove, the bottom end of clamping groove is installed with rotating seat on one side, the inside rotating installation of rotating seat has rotating shaft, the outside welding of rotating shaft has fixed plate, the top end of fixed plate is installed with fixed magnet, one end of fixed plate is welded with connecting groove plate, the inside of fixed groove plate is clamped with warning information board, the utility model warning information board aging damage or when warning content needs to be updated, only need to press down handle, to separate fixed magnet and iron sheet, at this time, the fixing of warning information board can be quickly released, then operator can quickly reinsert new warning information board to the inside of fixed groove plate, warning and information reminding are carried out, it is simple and convenient to operate to improve replacement efficiency, and guarantee the timeliness of warning information, further improve operation safety.

The application relates to the technical field of intelligent traffic monitoring, and discloses a road surface water detection and identification method based on multi-view feature fusion. The method comprises the following steps: collecting image data, depth information and environmental parameters by sensor nodes arranged at multiple positions on a road surface to form an original monitoring data set; performing multi-source feature extraction and fusion processing on the data set to obtain a waterlogging feature graph set; performing spatial domain analysis on the graph set to generate a road surface partition consistency graph; extracting time dimension data based on the graph to perform dynamic change evaluation and output a waterlogging evolution report; detecting abnormal patterns from the report and identifying abnormal waterlogging areas; and calculating risk indexes according to the abnormal areas to generate a final road surface water risk graph. Through multi-source data fusion and spatio-temporal joint analysis, the method realizes accurate detection, dynamic evolution tracking and risk evaluation of road surface waterlogging, and significantly improves the accuracy and early warning capability of urban road waterlogging monitoring.

The application discloses a kind of transmit power control methods of Wi-Fi equipment.Step S1: Wi-Fi equipment calculates A1-T, called first difference value.If |A1-T|≥step, and A1-T>0, enter step S2.If |A1-T|≥step, and A1-T<0, enter step S3.If |A1-T|<step, let second difference value=A1-T, enter step S4.Step S2: the output value "radio frequency gain" is moved by one or more lines as a whole;A2-T calculated based on Nd is called second difference value;then enter step S4.Step S3: the output value "radio frequency gain" is moved by one or more lines as a whole;A2-T calculated based on Nu is called second difference value;then enter step S4.Step S4: if the absolute value of second difference value≥tolerable error range, Wi-Fi equipment adjusts the digital gain of transmit chain digital front end DFE, so that A3-T is as close to zero as possible.The application ensures the timeliness and compensation accuracy of the transmit power adjustment of Wi-Fi equipment.

This invention discloses an interactive risk warning system, method, device, and medium based on speech recognition and a large language model, relating to the field of artificial intelligence technology. Specifically, it can be applied to the financial and medical fields, combining emotion and context to accurately grasp the complex and ever-changing emotions and true intentions of customers or patients, thereby improving the accuracy of risk identification. The interactive risk warning system includes a speech recognition module, a semantic analysis module, a risk prediction module, and a feedback module: the speech recognition module collects user-input speech information in real time and converts it into text information; the semantic analysis module performs emotion and context classification on the text information to obtain semantic analysis results; the risk prediction module obtains risk prediction results based on the semantic analysis results and user historical data; the feedback module obtains risk warning strategies generated based on a large language model and pushes the risk prediction results and risk warning strategies to the risk handling party for risk processing.