61results about How to "Run smart" patented technology

The invention discloses a visual operation and maintenance patrol system and method for civil air defense engineering based on a digital twinning technology. The operation and maintenance system comprises an automatic task distribution unit, a positioning unit, a data acquisition unit, a twinning civil air defense unit, a centralized monitoring unit, a data early warning unit and a maintenance unit. The task automatic distribution unit comprises machine learning, intelligent distribution and the like; the positioning unit comprises position acquisition, operation and maintenance information presentation and the like; the data acquisition unit comprises equipment information acquisition, infrared image acquisition, environment acquisition and the like; the twin civil air defense unit comprises model construction, daily inspection, peacetime and wartime conversion and the like; the centralized monitoring unit comprises robot control, motion trail control, task management and scheduling and the like; the data early warning unit comprises an early warning report, an early warning setting and the like; the maintenance unit comprises a mobile terminal, an intelligent operation and maintenance robot and the like; the operation auxiliary unit comprises intelligent called, intelligent invoices, intelligent questions and answers and the like; the invention provides an intelligent and convenient solution for complex operation and maintenance of civil air defense engineering.

The invention discloses a logistics remote control method and system based on virtual reality, relates to the technical field of logistics transportation management, and reduces the possibility of human errors through automatic encasement scheme generation and path planning. The system automatically calculates and generates a boxing scheme according to goods characteristics and loading constraints, and the risk of manual operation errors is avoided. And if the efficiency evaluation index is higher than 0.8, the system confirms that the current scheme is the optimal scheme. The trajectory planning module combines the anchoring position of the target ship and the container yard position, generates a plurality of paths by using a dynamic path planning method, and calculates a trajectory coefficient and transportation time. The path planning method based on real-time data can flexibly cope with sudden changes in the transportation process, the transportation time is shortened, and it is ensured that tasks are completed in time. The dynamic path planning module can adjust the path and the position of a hoisting point in real time, and collision or other potential safety hazards possibly occurring in the operation process are avoided.

The invention relates to a geothermal recharge water multi-effect treatment system, which comprises a desanding and filtering unit, a water supply unit, a water supply unit and a water supply unit, wherein the desanding and filtering unit is used for discharging impurity particles in geothermal water; the water inlet and the water outlet are located on the two sides of the tank body, the spiral pipe is located in the tank body, can rotate and enables impurity particles to be separated from water, and the drain outlet is located at the bottom of the tank body and used for discharging the impurity particles. The high-frequency electric field generating unit is located on the inner wall of the tank body and used for removing old scales in geothermal water and inhibiting generation of new scales, and a middle electrostatic field formed by the high-frequency electric field generating unit is parallel to the direction of the water inlet; the ultrasonic degassing unit is positioned on the inner wall of the tank body and is used for removing dissolved oxygen in geothermal water; and the ultraviolet sterilization unit is positioned in the water outlet. Compared with the prior art, the device has the advantages of integrating the functions of sand removal, scale removal and prevention, sterilization, degassing and the like.

The invention relates to the field of glass detection, in particular to a universal glass edge detection device which comprises a rack provided with a glass conveying module, an electronic cam main shaft, an electronic cam auxiliary shaft, a profile detection module and a glass edge detection module, and the profile detection module and the glass edge detection module are sequentially arranged in the feeding direction of the glass conveying module. The invention also provides a universal glass edge detection method, the electronic cam main shaft controls the glass conveying speed, performs profile detection on the conveyed glass to obtain glass edge coordinate information, the cam table is generated according to the glass conveying speed and the glass edge coordinate information, and the electronic cam slave shaft adjusts the glass edge detection focal length according to the cam table. According to the universal glass edge detection device and the universal glass edge detection method provided by the invention, edge detection can be carried out on glass in convection motion, the detection efficiency is high, the precision is high, and automatic detection of glass with different sizes, shapes and specifications can be met.

The utility model discloses a device for synchronously removing multi-target pollutants of underground water, and relates to the technical field of underground water pollution remediation. The device for synchronously removing the underground water multi-target pollutants comprises a permeable reactive barrier, a first unit is arranged on the right side of the permeable reactive barrier, a permeable grid is arranged on the right side of the first unit, an automatic sample detection and analysis device is arranged above the permeable grid, and a second unit is arranged on the right side of the permeable grid. According to the device for synchronously removing the multi-target pollutants in the underground water, the pollutants are subjected to multi-stage enhanced treatment based on the synergistic effect of adsorption, electrochemistry, plant enrichment and microbial degradation through an electrodynamic force combined physical-chemical-phytoremediation technology, so that the efficient and lasting removal of the composite pollutants such as heavy metals, inorganic matters and organic matters in the underground water is realized; the method solves the problem of difficult cooperative treatment of multiple pollutants, and has the advantages of simple construction, low installation cost, efficient restoration, strong applicability, ecological environmental protection and the like.

According to the regional load aggregator-oriented transformer area user flexible load scheduling method provided by the invention, the temperature control load, the electric vehicle, the energy storage equipment and the like are optimally scheduled, so that the balance of a power grid and the maximization of economic benefits are realized. The method comprises the following steps: predicting the load demand of a transformer area user through modeling analysis, and formulating an optimal scheduling strategy in combination with external signals such as real-time electricity price and environment temperature; a home energy efficiency management system (HEMS), a vehicle-to-power grid (V2G) control platform and an intelligent energy management system (EMS) are utilized to dynamically dispatch and control various flexible loads. The implementation result shows that the method effectively reduces the electric charge of the user, improves the revenue of the aggregator, improves the stability of the power grid, and has remarkable practicability and popularization value.

The invention belongs to the technical field of water-saving intelligent control, and discloses a water-saving intelligent control setting method and system for water supply equipment. Parameters such as outlet pressure of the water supply equipment and outlet pressure at the tail end in a coverage area of the water supply equipment are calculated by adopting algorithms such as polynomial linear regression, least square estimation and support vector machine prediction; finding out a change relation between parameters such as terminal monitoring pressure parameters and outlet pressure, establishing a corresponding correlation model, finally establishing a control model taking the most unfavorable point monitoring parameters as variables, collecting real-time data, inputting the model, calculating the running power of the water pump at the current moment, and adopting a machine learning algorithm to calculate the running power of the water pump. The water supply pressure of the water pump at the next time interval T is predicted, finally, a corresponding trend chart is generated, an instruction is given to the water supply pump, the water supply pump operates according to the trend chart, constant tail end pressure is guaranteed, and finally the aim of saving energy and water is achieved on the premise that water consumption of users in the area is guaranteed.

The invention relates to the technical field of databases, and discloses a real-time password verification method and system based on a network state and a storage medium, and the method comprises the following steps: firstly obtaining a password change strategy containing an old password based on a password change task notification, and then detecting a current network line to obtain state data; and if the data is abnormal, sending a network establishment request, operating by using a temporary network line and detecting the state data again, and if the data is abnormal, continuing to send a new request until the network state is good. And when the current or temporary network state is good, the old password is verified by using the good line, the password is changed and updated after the verification succeeds, the new password is verified on line, a password changing result is generated if the verification succeeds, the application connection pool is refreshed, and finally the password changing result is uploaded, so that the accuracy and the stability of password verification and password changing operation are ensured.

The invention relates to a supporting structure for a rim propeller, a flange plate serves as a supporting structure stress piece for the rim propeller, and an outer side circular ring and a flange hole of the flange plate are directly connected with a motor shell of the rim propeller and used for transmitting thrust load on the supporting structure for the rim propeller to the motor shell; the flange plate is connected with a radial bearing sliding assembly and a top wheel sliding assembly through a plurality of sets of limiting blocks, and a thrust pad is installed on a circular ring on the inner side of the flange plate and provides axial support for the rim propeller. Radial, axial and starting auxiliary support can be provided for the rim propeller, overall installation is convenient and fast, and the problem that the rim propeller is difficult to start can be effectively solved; according to the method, the clearance of the friction pair can be compensated in real time according to the abrasion condition of the tiles, so that the lubricating clearance is kept in a reasonable range, the lubricating performance stability is ensured, the whole machine does not need to be disassembled for replacement in a dock, in addition, the tiles can be utilized to the maximum extent, material waste is avoided, and the maintenance and use cost is reduced.

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.

The invention discloses a micro module based on a charging pile street lamp power supply intelligent adjustment technology, and relates to the technical field of charging pile street lamp power supply intelligent adjustment, and the micro module comprises a charging pile street lamp body, a solar power generation unit, a commercial power supply unit, an energy storage unit, an intelligent power supply management unit, an illumination control unit, a charging pile unit and a safety protection unit. The existing intelligent adjustment technology based on charging pile street lamp power supply generally lacks an efficient energy management mechanism, resulting in the problem of power resource waste or unbalanced distribution and the like. An intelligent power supply management unit and a safety protection unit carry out analysis control. The voltage and current fluctuation is monitored, so that the power supply stability of the power grid is guaranteed, and the energy consumption and loss in the power supply and charging process are reduced; besides, the intelligent management unit can rapidly switch power supply modes under abnormal conditions, so that the stability and the continuity of the system are ensured, and the reliability and the safety of the whole system are greatly improved.

The present invention discloses a vehicle air conditioning intelligent management method and system, the method includes data collection, data preprocessing, establishing a vehicle air conditioning comfort prediction model, model parameter optimization and vehicle air conditioning intelligent management. The present invention belongs to the field of vehicle air conditioning management technology, specifically refers to a vehicle air conditioning intelligent management method and system, this scheme adopts different optimization strategies for different types of samples by quantifying the credibility of the current prediction of the model, so as to avoid user discomfort caused by misjudgment in the intelligent management of the vehicle air conditioning; by introducing weight factors, the air conditioning system can operate more intelligently and energy-efficiently; by calculating individual fitness values ​​and updating the mutation probability mechanism, global search optimization is realized, so as to avoid the model from falling into the local optimum; based on the mutation probability, position update is realized, and in the dynamically changing in-vehicle environment, the uncertainty and noise data in the model training are effectively dealt with, so that the model is more reliable and the intelligent management of the vehicle air conditioning is more effective.

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.

This invention discloses a smart grid control and interaction system integrating GIS and virtual reality, and its implementation method. The interaction system includes: a large-scale power grid intelligent dispatch spatiotemporal big data platform; a large-scale power grid intelligent dispatch map engine visualization module integrating GIS; a large-scale power grid virtual electronic sand table intelligent interaction module; a large-scale power grid intelligent dispatch voice interaction module; and a human-computer interaction subsystem for large-scale power grid intelligent dispatch. The human-computer interaction subsystem for large-scale power grid intelligent dispatch is connected to the large-scale power grid intelligent dispatch spatiotemporal big data platform, the large-scale power grid intelligent dispatch map engine visualization module integrating GIS, the large-scale power grid virtual electronic sand table intelligent interaction module, and the large-scale power grid intelligent dispatch voice interaction module, respectively, to achieve multi-channel intelligent interaction with the power grid. The multi-channel intelligent interaction includes: voice interaction, GIS interaction, or virtual reality interaction. This interaction system can ensure the intelligent, safe, stable, and efficient operation of the large-scale power grid.

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 invention relates to a transmission scene monitoring system for a transmission line, comprising: a camera processing device for performing a camera processing operation on the environment where the transmission line is located to obtain various transmission environment images corresponding to various times; a parameter display device for receiving and displaying the signal-to-noise ratios of various image contents obtained by various interpolation algorithms through an artificial intelligence model for the operator to select the interpolation algorithm. The transmission scene monitoring system for a transmission line of the present invention can use an artificial intelligence model to intelligently analyze the signal-to-noise ratios of various images after applying various interpolation algorithms to the current transmission line imaging image, and simultaneously display the signal-to-noise ratios of various images obtained by the intelligent analysis for the operator to select the interpolation algorithm, thereby providing a solution for obtaining the best interpolation algorithm for the on-site image.

The present invention relates to the technical field of power adapters, and in particular to an intelligent control method for a power adapter, comprising: installing current, voltage and temperature sensors on electrical equipment, setting the operating frequency of the sensors, and controlling the operation of the sensors based on the operating frequency of the sensors to monitor the operating parameters of the electrical equipment in real time; acquiring the operating parameters of the electrical equipment sensed by the sensors based on the operating frequency, and storing the operating parameters of the electrical equipment. The present invention monitors the operating parameters of the electrical equipment connected to the power adapter in real time by deploying multiple sensors, and further controls the operation of the power adapter to adjust the voltage of the power supply connected to the electrical equipment based on the monitored operating parameters of the electrical equipment, thereby maintaining the operating voltage of the electrical equipment and ensuring that the operation of the power adapter is more intelligent. Moreover, when the power adapter controlled to operate under this method serves the electrical equipment, the operation of the electrical equipment is more energy-efficient based on voltage regulation.

The present invention relates to the field of glass detection, and in particular to a universal glass edge detection device, comprising: a frame, a glass conveying module, an electronic cam main shaft and an electronic cam slave shaft, and a shape detection module and a glass edge detection module sequentially arranged along the feeding direction of the glass conveying module. The present invention also provides a universal glass edge detection method, wherein the electronic cam main shaft controls the glass conveying speed, performs shape detection on the glass being conveyed to obtain glass edge coordinate information, generates a cam table according to the glass conveying speed and the glass edge coordinate information, and the electronic cam slave shaft adjusts the glass edge detection focal length according to the cam table. The universal glass edge detection device and universal glass edge detection method provided by the present invention can perform edge detection on glass in flow motion, have high detection efficiency and high precision, and can meet the needs of automatic detection of glass of different sizes, shapes and specifications.

The present invention relates to the field of online management technology, and in particular to an online management system for dry variable cooling fan application services. The system includes a fan data monitoring and analysis module, an application service automatic start-stop wiring control module, a wiring on-off abnormality detection module, and a wiring on-off abnormality early warning debugging management module, which can obtain the operating temperature data of the dry variable cooling fan, the environmental temperature and humidity data, and the mechanical transformer vibration data, and perform environmental temperature and humidity compensation calibration and automatic start-stop control response analysis to generate the dry variable cooling fan automatic start-stop control command, and act on an independent trolley to perform fan automatic start-stop wiring control and wiring status online monitoring, while performing wiring on-off abnormality detection and intelligent early warning debugging management, generating a dry variable cooling fan wiring abnormality debugging management strategy, and executing the corresponding dry variable cooling fan start-stop wiring abnormality debugging management operation. The present invention can realize an efficient debugging management process for dry variable cooling fans.

The invention relates to a smart city traffic information service system. The system comprises an entrance monitoring mechanism, a linkage control mechanism, an LED broadcast array and a data analysis device. The intelligent urban traffic information service system is intelligent in operation and has certain pertinence.

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 relates to the field of glass detection, in particular to a universal glass edge detection device which comprises a rack provided with a glass conveying module, an electronic cam main shaft, an electronic cam auxiliary shaft, a profile detection module and a glass edge detection module, and the profile detection module and the glass edge detection module are sequentially arranged in the feeding direction of the glass conveying module. The invention also provides a universal glass edge detection method, the electronic cam main shaft controls the glass conveying speed, performs profile detection on the conveyed glass to obtain glass edge coordinate information, the cam table is generated according to the glass conveying speed and the glass edge coordinate information, and the electronic cam slave shaft adjusts the glass edge detection focal length according to the cam table. According to the universal glass edge detection device and the universal glass edge detection method provided by the invention, edge detection can be carried out on glass in convection motion, the detection efficiency is high, the precision is high, and automatic detection of glass with different sizes, shapes and specifications can be met.

The present invention relates to a power accessory state judgment system based on ultra-high definition visual monitoring, comprising: a data processing mechanism, used to perform edge pixel point judgment based on pixel value gradient on each constituent pixel point of silicone rubber in a layered enhancement block to obtain multiple edge pixel points; a content conversion mechanism, used to determine the surface smoothness value corresponding to the target silicone rubber sleeve based on the percentage of the cumulative number of multiple edge pixel points in the layered enhancement block to the total number of pixel points in the layered enhancement block. The power accessory state judgment system based on ultra-high definition visual monitoring of the present invention is logically reliable and operates intelligently. Since the specific value of the surface smoothness of each silicone rubber sleeve can be judged based on the judgment result of the pixel value gradient of each constituent pixel point of silicone rubber, it is convenient for maintenance personnel to perform intelligent identification of the current state of each silicone rubber sleeve, providing key data for subsequent maintenance operations.

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 utility model discloses a sequencing batch sludge precipitation separation device which comprises a wastewater discharge pipe with a feeding end connected with a water outlet of a sludge dewatering machine, the discharge end of the wastewater discharge pipe is connected with two sludge precipitation mechanisms which are arranged in parallel, and the discharge end of the wastewater discharge pipe is lower than the feeding end to form self-flow fit. The two sludge precipitation mechanisms are alternately communicated and matched with the wastewater discharge pipe, the discharge ends of the two sludge precipitation mechanisms are both connected to the same sludge discharge pipe in parallel, the discharge ends of the two sludge precipitation mechanisms are alternately communicated and matched with the sludge discharge pipe, and the water outlet ends of the two sludge precipitation mechanisms are both connected to the same blow-down pipe in parallel. The water outlet ends of the two sludge precipitation mechanisms are alternately communicated and matched with the blow-down pipe, so that the sludge is pretreated, the subsequent sewage treatment pressure is reduced, the blockage of a sewage pipeline is relieved, continuous treatment is realized, and the treatment energy consumption is low.

The utility model relates to an air conditioner control system for a commercial vehicle, which comprises an air conditioner controller. The mixed air door motor, the internal and external circulation air door motor, the mode air door motor, the negative ion generator, the fan, the air blower, the compressor, the water valve motor, the three-state pressure switch, the cab internal and external temperature sensor and the cab internal and external PM2.5 sensor are in signal connection with the air conditioner controller. The air conditioner control system has a fresh air circulation function, an air volume adjusting function, an air outlet temperature adjusting function and a safe driving reminding function.

The invention relates to a computer image processing system based on an artificial intelligence model. The computer image processing system comprises a time analysis device, a visual monitor, a sequence mapping device, a content identification mechanism, a region processing mechanism, a directional prediction mechanism, an optimization processing mechanism and a data playing mechanism. The computer image processing system based on the artificial intelligence model is compact in logic and intelligent in operation.