16results about How to "Run smart" patented technology

The application discloses a kind of substation wireless meter reading method, system, electronic device and storage medium, belong to electronic communication technical field, solve the technical problem of insufficient accuracy of existing wireless meter data acquisition.It includes using multiple wireless acquisition nodes deployed in substation to collect multi-modal raw data and pre-process, obtain the multi-modal data set of each node after pre-processing;Semantic feature extraction is carried out on the multi-modal data set after pre-processing, to generate the unified multi-modal feature representation of each node;Using lightweight Transform model to process the unified multi-modal feature representation, to obtain the meter reading prediction value of the node and the corresponding reliability evaluation result;Based on the reliability evaluation result, the meter reading prediction value of each node is weighted and fused to obtain the global meter reading;Based on the error between global meter reading and reference value, the parameters of lightweight Transform model are optimized.The reliability and fault tolerance of data reading are realized.

The utility model relates to textile processing technical field discloses a kind of silk and linen blended antibacterial treatment machines, including base, the outer wall top of base is provided with self-adapting mechanism, the outer wall top of base is fixedly connected with organism, the outer wall top of the organism is provided with anti-holding mechanism, the self-adapting mechanism includes roller stand, the outer wall bottom of roller stand is fixedly connected in the outer wall top of base, the outer wall slidingly connected of roller stand has limit strip, the outer wall of limit strip is fixedly connected with limit block, the outer wall top of base is fixedly connected with buffer pad, the outer wall of roller stand is equipped with two slide holes. In the utility model, when different size cloth enters, spring pre-tightening force drives limit strip to move transversely, automatically adjusts to adapt to cloth change, fixed button restricts the displacement of first rotating shaft, avoids too large sliding, ensures stability, bottom buffer pad efficiently absorbs spring rebound impact force, to significantly prolong the service life of device.

According to the transformer intelligent evaluation system provided by the invention, information of each unit is comprehensively analyzed through the central control unit, and task instructions are dynamically generated, so that system-level coordination and decision-making are realized; the image recognition unit collects and processes visual information, the transmission mechanical arm executes precise carrying based on a processing result, the insulation test cabin completes a high-voltage insulation test, the error measurement unit achieves precise electrical parameter measurement, and the environment monitoring system monitors and adjusts internal environment parameters and feeds back data. According to the system, automatic and intelligent operation of the whole process of transformer evaluation is realized, the test efficiency and precision are remarkably improved, the adaptive capability and coordination of the system are enhanced, the operation safety and environmental stability are guaranteed, and meanwhile, the system has good expandability and maintainability.

The invention relates to an intelligent early warning system based on big data dynamic control, and the system comprises a time-sharing shooting mechanism which is disposed in an airport, and is used for carrying out the time-sharing shooting at uniform intervals for a control tower of the airport in a working state, so as to obtain an on-site shooting image corresponding to each shooting moment; and the early warning execution mechanism is used for executing the safety early warning operation that the airframe is too close to the control tower when the field identification interval between the control tower and the airplane is smaller than or equal to a set interval threshold value, and otherwise, ending the safety early warning operation that the airframe is too close to the control tower. The intelligent early warning system based on big data dynamic control is intelligent in operation and simple and convenient to operate. The early warning execution mechanism is introduced to execute the safety early warning operation that the aircraft body is too close to the control tower when the field identification interval of visual analysis of the control tower and the aircraft is smaller than or equal to the set interval threshold value, otherwise, the execution of the safety early warning operation that the aircraft body is too close to the control tower is ended, and therefore intelligent safety early warning of the state of the control tower is achieved.

The present application relates to the technical field of drying furnace, and particularly relates to a design method for reducing energy consumption of starting of a drying furnace, which comprises the following steps: obtaining an ambient temperature of the drying furnace; inputting the ambient temperature into a pre-trained temperature rising time length prediction model to obtain a predicted temperature rising time length; calculating an optimal starting time point of the drying furnace based on the predicted temperature rising time length and a preset target process temperature reaching time; starting the drying furnace at the optimal starting time point; compiling the temperature rising time length prediction model into an executable program and embedding the executable program into a manufacturing execution system; outputting the calculated optimal starting time point through a man-machine interaction interface of the manufacturing execution system to prompt an operator to start the drying furnace according to the optimal starting time point. The present application can accurately predict the temperature rising time length according to the current ambient temperature and then determine the optimal starting time point, so as to reduce the energy consumption of the starting stage of the drying furnace.

This utility model relates to dishwashers, specifically providing a dishwasher designed to solve the problem that existing dishwashers cannot switch between tap water and purified water according to different stages of the washing process, making it difficult to balance cleaning performance and water costs. To this end, the dishwasher of this utility model includes a control valve assembly, a salt tank, and a water softener arranged sequentially. The control valve assembly is connected to a purified water source; the control valve assembly controls the purified water source to supply purified water to the salt tank, so as to regenerate the softening medium in the water softener. This utility model, through the control valve assembly, can control the supply of water from the raw water source after passing through the water softener, or switch to direct supply from the purified water source, thereby achieving the use of low-cost softened raw water to remove food residue during the washing stage, and the use of higher-quality purified water to improve cleanliness during the rinsing stage. This structure effectively improves the cleaning effect while reducing the overall water cost, balancing performance and economy.

The invention discloses a dust collecting device used during discharging of steel wires after cracking of waste tires, the dust collecting device comprises a base, a dust collecting machine box, a dust collecting pipe, a dust collecting cover, a rack, a control device and a power source, the dust collecting machine box is installed on the base, the rack is welded to the front side of the base, and the front side of the dust collecting machine box is connected with the dust collecting cover through the dust collecting pipe; the two dust collection covers are installed in the middle and at the top of the rack respectively, a control device and a power source are installed on the portion, on the rear side of the dust collection machine box, of the base, and a dust suction power source installation bin, an ultrasonic vibration power source installation bin, a filtering bin and a dust collection bin are arranged in the dust collection machine box from top to bottom. And an air inlet of the filtering bin is connected with the dust collecting pipe. The device has the functions that diffused carbon black dust can be effectively captured and recycled in the steel wire discharging process, the workshop operation environment is remarkably improved, dust pollution is reduced, and meanwhile recycling of carbon black resources is achieved.

The invention relates to an image content analysis processing system using positioning big data, and the system comprises a data judgment device which is used for intelligently analyzing the contrast in a post-operation image obtained by employing a set enhancement algorithm to carry out the enhancement operation of a combined filtering image; and the dynamic processing device is used for comparing the contrast ratios corresponding to the various enhancement algorithms, and performing enhancement processing on the combined filtering image by taking the enhancement algorithm corresponding to the contrast ratio with the minimum numerical value as a preferable enhancement algorithm to obtain a final enhanced image. The image content analysis processing system using the positioning big data is intelligent in operation and simple and convenient to operate. The contrast ratios corresponding to various enhancement algorithms after passing through the radial basis function neural network model can be compared, and the enhancement algorithm corresponding to the contrast ratio with the minimum numerical value in the contrast ratios is used as the preferable enhancement algorithm to perform enhancement processing on the combined filtering image. Therefore, the optimal content enhancement mode suitable for the content is obtained for different picture contents.

The invention belongs to the technical field of battery manufacturing equipment, and discloses an intelligent tabletting device for sodium ion battery pole piece production, which comprises a pair of primary compaction rollers, a detection mechanism, a bracket, a pair of secondary compaction rollers, a hydraulic station, a base and a central controller, on-line detection, matrix type fixed-point heating and hydraulic drive type local secondary compaction are integrated after primary compaction, an intelligent closed-loop repair system is constructed, the system can identify local defects of the pole piece in real time and accurately position the local defects, then defect points are selectively heated and softened, and the defect points are subjected to secondary compaction. And finally, precise local pressure supplement is implemented by the independently-controlled compaction block, so that the defect that the defect cannot be repaired on line through traditional single compaction is fundamentally overcome, post scrapping is converted into on-line repair, the consistency and the yield of pole piece production are remarkably improved, meanwhile, material waste is reduced, and the production cost is reduced. And high-quality and low-loss intelligent production is realized.

This invention relates to the field of microgrid planning and scheduling technology, specifically providing a method and apparatus for optimizing the configuration of large-scale power plants under a scenario of free charging and discharging. The method includes: solving a pre-constructed large-scale power plant configuration optimization model to obtain optimization results; based on the optimization results, obtaining an optimization scheme for the large-scale power plant configuration under a scenario of free charging and discharging, and optimizing the configuration of the large-scale power plants using the optimization scheme; the optimization results include at least one of the following: energy storage capacity, electric vehicle capacity, energy storage power, electric vehicle power, wind power generation power, photovoltaic power generation power, and grid interaction power. The technical solution provided by this invention is used to improve the global optimization level and practicality of microgrid equipment configuration in complex scenarios, so as to achieve green, intelligent, and efficient operation of the energy system.

The invention relates to a power transmission line spacing alarm system based on a remote sensing picture, and the system comprises a data receiving mechanism which is used for downloading a remote sensing image related to the positioning information of a target power transmission line from a remote sensing satellite; and the alarm execution device is used for executing alarm operation corresponding to the bird repelling information when the data judgment device judges that the bird nest and the line are overlapped, and is also used for postponing execution of the alarm operation corresponding to the bird repelling information when the data judgment device judges that the bird nest and the line are not overlapped. The power transmission line spacing alarm system based on the remote sensing picture is compact in structure and intelligent in operation. The areas where the bird nest and the line are located can be obtained by adopting a targeted visual analysis mechanism to serve as the first to-be-compared image and the second to-be-compared image, and whether the bird nest and the line are overlapped or not is determined based on the visual information analysis result of the position association relationship between the first to-be-compared image and the second to-be-compared image. And determining whether to execute an alarm operation corresponding to the bird repelling information.

The invention relates to a mode judgment system based on human face recognition, and the system comprises a content capturing device which is used for carrying out the screen capturing of a live broadcast image of a set live broadcast room into which a portable terminal enters at present; and the mode judgment mechanism is used for judging that the set direct broadcasting room is suspected to start a buffing and beautifying mode to trigger subsequent manual secondary confirmation when the entity smoothness level corresponding to the anchor face determined based on the intelligent face recognition result exceeds the limit. The mode judgment system based on human face recognition is intelligent in operation and wide in application. The entity smoothness level corresponding to the face of the anchor can be intelligently identified based on various visual data, and when the determined entity smoothness level corresponding to the face of the anchor is greater than or equal to the set level threshold value, it is judged that the set live broadcast room where the anchor is located is suspected to start the buffing beautifying mode so as to trigger subsequent manual secondary confirmation. Therefore, intelligent judgment on whether the buffing and beautifying mode is started on the live broadcast screen capture picture is completed.

The invention relates to the technical field of filtering equipment, and provides a spiral-flow type self-cleaning filtering device which comprises a filtering barrel, a spiral-flow generator, a rotating main shaft, a rotating power generator, an electric valve and a pressure sensor, a filtering membrane is arranged inside the filtering cylinder body, and a water producing port is formed outside the filtering cylinder body; the rotational flow generator is arranged at the water inlet end and can rotate under the impact action of water flow; the rotating main shaft is arranged in the axial direction of the filtering barrel and connected with the rotational flow generator, and a cleaning brush is further arranged on the peripheral wall of the rotating main shaft; the rotary generator is arranged at the water inlet end, is in transmission connection with the main shaft and can rotate along with the rotating main shaft to generate electricity; the electric valve is electrically connected with the rotary generator; the pressure sensor is arranged in the filter cylinder and is electrically connected with the rotary generator; and the pressure sensor can detect pressure information in the filter cylinder body and regulate and control the opening and closing states of the electric valve according to the pressure information. The spiral-flow type self-cleaning filtering device is simple in structure, self-sufficient in energy and capable of achieving efficient self-cleaning without external power.

The utility model provides a kind of efficient energy-saving soil monitoring reagent self-dripping system, including shell, support mechanism is installed in the inside top of shell, reagent dripping mechanism is slidably connected in the bottom of support mechanism, soil experiment tank is fixed below reagent dripping mechanism and at the bottom surface of shell, instrument storage mechanism is fixed on the outer top surface of shell;By setting microcomputer, and in microcomputer configuration threshold detection algorithm, to control reagent dripping mechanism to carry out reagent dripping, and to the image data obtained by camera data processing, to adjust the rotational speed of stepper motor, to position and adjust the dripping position of reagent dripping mechanism, by setting single-chip microcontroller, and different pin control stepper motor, rudder is utilized, and data is shown by liquid crystal display, so that the system modularization of the utility model has intelligentization, high accuracy, good stability, low manufacturing cost and the advantages of easy to use.

This invention relates to the field of industrial equipment safety monitoring technology, and discloses a data-driven intelligent early warning method and system for the degradation risk of organic heat transfer fluids. The method includes: acquiring multimodal monitoring data of the organic heat transfer fluid, performing preprocessing and feature extraction to obtain entropy yield and acoustic emission activity index; inputting the entropy yield, acoustic emission activity index, and medium quality parameters into a mechanism classification neural network model to obtain the determination probability of the degradation mechanism; according to the determination probability, inputting the feature vector into the corresponding target branch neural network to obtain an instantaneous risk index; predicting the time required for the medium quality parameters and entropy yield to reach a safety threshold, taking the minimum value as the predicted failure time, and calculating the degradation resilience value in conjunction with the planned maintenance time; and determining the comprehensive risk level based on the instantaneous risk index and the degradation resilience value. This solution can achieve early detection of degradation trends and distinguish different degradation mechanisms, improving assessment accuracy and making maintenance strategies more targeted.