121results about How to "Improve technical level" patented technology

The invention discloses a Pick ball athlete action recognition and analysis system based on multi-modal data fusion, and the system comprises the steps: collecting the video image data and sensor data of a Pick ball athlete in the motion process, and carrying out the feature extraction of the body posture of the athlete in the video image data through a convolutional neural network; according to the method, a recurrent neural network is combined to perform action classification on a feature sequence, meanwhile, sensor data are fused, accurate recognition of actions of an athlete is achieved, meanwhile, detailed technical parameters of the athlete in the ball hitting action can be obtained by deeply analyzing the recognized actions, accurate guidance is provided for training of the athlete, and the training efficiency is improved. And the technical level and the competitive ability of athletes can be improved.

The invention relates to the technical field of logging evaluation of a shale gas reservoir geologic model, and discloses a logging evaluation method suitable for the shale gas reservoir geologic model, which comprises the following steps: collecting and arranging logging data, including natural gamma, resistivity, interval transit time, density and neutron logging curves, based on geological data and logging data of adjacent wells, an initial geological model of the shale gas reservoir is established, a logging curve is preprocessed, including depth correction, environment correction, data smoothing, utilization of response characteristics of the logging curve, identification of cracks and stratification in the shale gas reservoir, and utilization of the logging data to calculate physical property parameters of the shale gas reservoir. According to the logging evaluation method, a plurality of reservoir parameters including the organic carbon content, the thermal maturity, the porosity, the permeability, the water saturation, the fracture development degree and the like can be obtained, and the comprehensive analysis of the parameters can more comprehensively reflect the reservoir characteristics, so that the accuracy of a geologic model is improved.

The invention relates to the technical field of artificial intelligence data processing, in particular to an optimization method for agricultural intelligent questions and answers based on LLM. By combining natural language processing, deep learning and agricultural knowledge, the invention aims to improve the performance of the agricultural intelligent question-answering system and provide more accurate, efficient and personalized services for users. Farmers can quickly obtain required agricultural knowledge and technology through the intelligent question-answering system without looking up a large number of literatures or asking for experts.

The invention relates to the technical field of dynamic tracking, in particular to a human dance dynamic tracking method and system, and the method comprises the following steps: selecting a target stable isotope as a marker according to atomic weight and chemical properties, mixing the target stable isotope with a proper amount of carrier, and smearing the mixture on key joints and muscle groups of a dancer to generate a key marker combination. According to the invention, through cooperation with specially developed isotope labeling detection equipment, the identification effect under various illumination and background conditions is optimized, the data accuracy and tracking continuity are ensured, and the accurate three-dimensional motion model is constructed, so that the real-time reaction speed and the motion response precision of the model are improved; in addition, key action nodes are allowed to be extracted from the model and used for dynamically tracking and evaluating the coherence of the actions, through deep action analysis, the dancer and the coach can obtain detailed technical evaluation and improvement guidance, and the quality of dance performance and the technical level of the dancer are effectively improved.

The invention provides a motion capture method and device based on physical training and a storage medium. The method comprises the steps that athletes are numbered; collecting action data, analyzing whether the action data is abnormal, if so, performing early warning, otherwise, entering the next step; action quality parameters are collected, and action quality is analyzed; training environment parameters are collected, the environment state is analyzed, and early warning is conducted if the environment is unqualified. According to the invention, abnormity can be early warned in time, the motion quality can be accurately evaluated, and the training effect and safety can be improved.

The invention discloses a spring-free magnetic springback type switch key, which comprises a shell, a shaft rod inserted into the shell, a magnetic column arranged in the shaft rod, an electromagnetic coil positioned in the shell and arranged outside the shaft rod in a surrounding manner, and a trigger assembly mounted in the shell and matched with the shaft rod, the shaft rod is provided with a hollow column body extending downwards, and the magnetic column is located in the hollow column body; an annular wall is arranged on the inner bottom face of the shell in an upward protruding mode, a guide groove matched with the hollow column in the shaft rod is formed, and the guide groove is used for conducting linear guiding on relative matching of the hollow column. And the electromagnetic coil is sleeved outside the ring wall. According to the switch key, the electromagnet is matched with the magnet, rebounding of the key is achieved through magnetic force, and the intensity of feedback force is flexibly changed by adjusting the magnetic force of the electromagnet.

The invention discloses a wall-climbing robot cylindrical tank space surface welding seam path planning method. The method comprises the steps that 1, a 2D map of a three-dimensional cylindrical tank welding seam is constructed; step 2, constructing an undirected connected graph; 3, judging whether any cross point meets the requirements of an Euler loop or not; 4, constructing a shortest path Euler loop by using a virtual edge adding method; and 5, an improved Fluery algorithm is utilized to plan a path through which the robot can traverse the welding seam at a time. According to the method, the three-dimensional cylindrical tank welding seam is mapped to the 2D plane, the 2D map of the welding seam path is accurately constructed, path planning is optimized through the undirected connected graph and the virtual edge method, and it is ensured that the cylindrical tank wall-climbing robot can traverse all welding seams on the shortest path. According to the method, an improved Fluery algorithm is combined, shortest path planning of an Euler loop is achieved, the efficiency and accuracy of robot weld traversal are optimized, an efficient path control scheme is provided for a robot, and the working capacity and the autonomous navigation level of the robot in a complex environment are improved.

The invention relates to low-temperature life prolonging equipment of a near-water-source energy storage power station, which is used for prolonging the service life of an onshore energy storage power station or an offshore energy storage power station in a random complex scene. The equipment is communicated with a low-temperature water body in an external natural cold source through a pipeline, the external natural cold source is used for direct cooling, heat dissipation consumption can be reduced, the service life of the equipment is prolonged, and meanwhile a large amount of cost is saved. Compared with the prior art, the accumulative service life of the battery module is remarkably prolonged by designing a low-temperature environment, the battery capacity fluctuation and the long-term maintenance cost are reduced, higher economical efficiency and reliability are achieved, and the method is particularly suitable for new energy storage scenes such as wind power and solar energy; compared with the prior art, although the seabed energy storage power station can also utilize an external natural cold source, the scheme has obvious economic advantages on this point due to the special sealing requirements, environmental requirements, technical difficulty and extremely high cost of the seabed energy storage power station.

The invention provides an intelligent cockpit single Beidou test device and test method. The test device comprises a microwave darkroom, a rotary table and an arc guide rail. The arc guide rail is vertically arranged in the anechoic chamber, the rotary table is arranged on the bottom wall of the anechoic chamber in parallel, and the circle center of the arc guide rail coincides with the circle center of the rotary table; the 0-degree elevation angle of the arc guide rail is flush with the upper surface of the rotary table; the 90-degree elevation angle is located right above the test vehicle; a sliding antenna is connected to the arc guide rail in a sliding manner, and the sliding antenna is fixed in a short time every 5-15 degrees in the sliding process; and a wave-absorbing material is laid on the inner wall of the microwave darkroom. According to the invention, the adaptability of the intelligent cabin to Beidou signals in different geographical environments can be comprehensively tested; the single Beidou performance of the intelligent cockpit is accurately verified, reliable operation of the single Beidou navigation function in the intelligent cockpit is ensured, accurate route guidance and early warning information are provided, accurate position information can be provided in time in an emergency, rescue work is assisted, and driving safety is ensured.

The invention relates to the field of genetic engineering and immobilized enzymes, in particular to a sucrose isomerase recombinant as well as a construction method and application thereof. Wild type sucrose isomerase (Sase) from dispersed pantoea is subjected to molecular modification, fusion expression is performed after screening of affinity peptide ligands, the specific enzyme activity of the obtained sucrose isomerase recombinant is 88% higher than that of sucrose isomerase, the enzyme activity level of the sucrose isomerase recombinant is remarkably improved, and the specific catalysis efficiency of the sucrose isomerase recombinant on a sucrose substrate is improved; and reference is provided for improving molecular modification of other enzymes. The sucrose isomerase recombinant has good thermal stability, and finally, research on embedding system optimization is performed on one-step purification and immobilization of SIase, so that the affinity directional immobilized enzyme microspheres which have high hardness and strength and can effectively reduce leakage or loss of enzyme molecules are prepared. The reusability of the sucrose isomerase recombinant is obviously improved.

The invention relates to the technical field of milk sterilization systems, in particular to an intelligent microwave-heat exchange composite milk sterilization system and a method thereof.The system comprises a mixing module used for adjusting the flow speed and temperature of fresh milk; the microwave sterilization module is used for heating milk by using a multi-frequency magnetic field; the temperature control module comprises a microwave power regulator and a heat exchanger and is used for regulating the microwave heating time and the heat exchange rate so as to control the milk temperature; and the digital twin module optimizes the sterilization process by using deep reinforcement learning and simulates the system performance in a virtual environment, and a faster and more uniform heating process is realized through the synergistic effect of microwaves and heat exchange. The application of the multi-frequency magnetic field technology further improves the uniformity of microwave heating, and effectively solves the problems of hot spots and cold spots in traditional heat exchange sterilization. Experimental results show that compared with a traditional method, the sterilization effect is improved by about 11.5%, which means higher food safety.

The invention discloses an LLM-based intelligent question and answer method and system for operation and maintenance knowledge, relates to the technical field of artificial intelligence, and provides an efficient knowledge management and update mechanism which can continuously absorb latest operation and maintenance knowledge and technical practice, and operation and maintenance personnel can upload new knowledge documents to the system through a data entry unit, so that the operation and maintenance knowledge can be quickly and conveniently answered. After verification of the data checking unit, the knowledge can be automatically partitioned and vectorized and supplemented into the knowledge base, the mechanism not only ensures timeliness and accuracy of the knowledge base, but also promotes accumulation and inheritance of the knowledge, new operation and maintenance personnel can quickly obtain necessary knowledge and skills through the system, and the operation and maintenance efficiency is improved. In addition, the system also supports the processing of multi-round dialogues and context relevance problems, so that the solution of complex problems is smoother and more efficient.

The invention discloses a television intelligent maintenance decision-making method, and the method comprises the following steps: obtaining historical work order information which at least comprises a television type, a fault description, a fault reason, a maintenance scheme, a maintenance category and used spare parts; constructing an intelligent fault library containing standard faults according to the historical work order information; establishing a knowledge graph according to the historical work order information and the intelligent fault database; acquiring new work order information, performing fault matching with the intelligent fault library according to fault information in the new work order information, and performing maintenance scheme recommendation according to the matched fault based on the knowledge graph; the invention also discloses a television intelligent maintenance decision-making system and a computer program. The intelligent, automatic and personalized television maintenance process can be realized, the quality and efficiency of the maintenance service can be greatly improved, the operation cost can be reduced, and the high-quality and reliable maintenance experience can be provided for the user.

The invention discloses a boiler internal steam-water separator and a using and adjusting method. The boiler internal steam-water separator comprises a main shell, a main cavity is formed in the main shell, a steam-water inlet pipe is fixedly connected to the outer side of the main shell, and a steam outlet pipe is fixedly connected to the outer side of the main shell; by means of the quick connecting mechanism, the steam-water inlet pipe can be quickly and conveniently connected with an external pipeline, meanwhile, tight connection can be guaranteed through traction force of the two spring rods, liquid leakage and steam leakage are effectively prevented, the cleaning brush is driven by the double-rotor motor to rotate on the thin-wire screen plate, and the cleaning efficiency is improved. Impurities possibly attached to the filament screen plate can be automatically removed, smoothness of the steam-water inlet pipe is kept, the operation efficiency is improved, the steam-water separation efficiency is remarkably improved under the combined action of a wind field system composed of fan blades arranged in the steam-water inlet pipe and a double-rotor motor and a shielding cover arranged below the steam-water inlet pipe, and the steam-water separation effect is improved. And the steam-water separation effect is ensured.

The invention belongs to the technical field of environmental parameter monitoring instrument calibration, and particularly relates to a batch calibration method and system for intelligent temperature and humidity detectors. The system comprises a constant temperature and humidity chamber, a temperature and humidity detector, a wireless router, an upper computer and a block chain storage module. The constant temperature and humidity chamber provides a standard calibration environment, the temperature and humidity detector uploads real-time data through the wireless communication module, and the digital twin system compares and analyzes the detection data, generates correction parameters and issues the correction parameters to unqualified equipment. And after the calibration is completed, the system automatically generates a calibration report and uploads the calibration report to the block chain for storage, so that the data security and traceability are ensured. Experiments show that the method is superior to a traditional method in the aspects of efficiency, precision and equipment management, and is suitable for the fields of tobacco leaf storage, cold-chain logistics, industrial manufacturing and the like needing environment monitoring.

The invention belongs to the technical field of battery changing cabinets, and particularly relates to a battery changing cabinet non-charging diagnosis method, which comprises the following steps of: 1, initializing and self-checking; starting the battery changing cabinet, executing a self-checking program, and ensuring that all modules work normally; step 2, data acquisition; a data acquisition module is used for acquiring a sensor and an ADC; and collecting detection data. According to the non-charging diagnosis method for the battery changing cabinet, the user experience is improved, the problem can be solved more quickly by quickly diagnosing the non-charging problem, unnecessary waiting and troubles are avoided, and the charging experience of the user is improved. And the non-charging problem can be found and solved in time, the normal operation of the battery changing cabinet equipment can be ensured, the service life of the equipment is prolonged, and the reliability of the equipment is improved. And the diagnosis method can help the maintenance personnel to accurately position the problem and quickly repair the problem, so that the maintenance cost and time are saved, and the maintenance efficiency is improved.

The invention discloses a superfine high-performance admixture system with a multi-stage separation dynamic screening function and a solid waste treatment operation method, and the system comprises a vibration crushing device which is used for crushing building solid waste into small blocks and obtaining the building solid waste small blocks; the first swash plate grinding device is used for grinding the small building solid waste blocks to obtain small solid waste particles; the solid waste grinding multi-stage separation dynamic powder selecting device is used for screening small solid waste particles and obtaining fine-particle-size materials; the second swash plate grinding device is used for carrying out secondary grinding on the fine-particle-size materials; and the solid waste ground powder material flow rate control partition board material cabin is used for carrying out wind separation on the materials. The treatment procedure is simple and efficient, the construction solid waste treatment operation is reasonable, the problems that the construction solid waste pollutes the environment, the treatment process is complex, and the cost is high are solved, and remarkable economic, environmental and social benefits are achieved.

The invention relates to the technical field of electric power regulation and control, in particular to an electric power regulation and control method and system based on a power characteristic matrix. The method comprises the following steps: obtaining distributed power plant equipment data, carrying out abnormal value replacement, generating complete equipment data, screening out standard operation parameters, carrying out equipment unit simulation processing, generating a simulation power plant equipment unit, and carrying out combined power generation simulation to obtain various simulation data; historical power output data are obtained, power demand analysis is carried out, power output data and power demand peak and valley data required by prediction are generated, based on the data, intensity adaptation screening is carried out on combined power generation simulation, an operation period is adjusted, and finally a distributed equipment scheduling instruction is generated, so that efficient regulation and control of the intelligent virtual power plant are realized. According to the invention, a more efficient and more reliable intelligent power regulation and control method is realized.

The invention relates to a low-permeability oil reservoir channeling control oil displacement strategy obtaining method based on pore network simulation. The method comprises the steps that a three-dimensional pore structure of a core sample is obtained, a pore network model is established, multiphase fluid numerical simulation is conducted, and relative permeability parameters of an oil reservoir are determined; original data of the block oil reservoir are obtained, a three-dimensional geologic model is constructed, and relative permeability parameters are imported; geologic features, fluid properties and production history of an oil reservoir are considered, a well pattern injection-production mode and the optimal positions of an injection well and a production well are determined through the three-dimensional geologic model, and an injection-production scheme is formulated; through numerical simulation, based on sensitivity analysis, sensitive factors influencing the recovery degree are screened from engineering factors and geological factors; through numerical simulation, the recovery degree of each stage is used as an evaluation index, and sensitive factor parameters are optimized; and generating an oil displacement strategy based on the optimized sensitive factor parameters. According to the method, the relative permeability parameters are obtained in a simulation mode, then the oil displacement parameters are optimized through simulation screening, and the recovery efficiency of the low-permeability reservoir is effectively improved.

The utility model discloses a self-cleaning device for a printing nozzle of an ink-jet printer, which comprises a base provided with a sliding guide groove; the box body is installed in the sliding guide groove of the base in a sliding mode, a sealed bin body is arranged in the box body, a printing spray head of the ink-jet printer moves towards the box body and pushes the box body to slide along the sliding guide groove, and the sealed bin body is driven to ascend to surround the printing spray head in the sliding process of the box body; and the first elastic piece is arranged between the bottom of the box body and the base, and the first elastic piece is stretched and deformed when the box body slides to drive the sealing bin body to ascend, so that a pull-down elastic force is provided when the box body returns to the original position. According to the self-cleaning device for the printing nozzle of the ink-jet printer, the sealing bin body of the box body ascends to surround the printing nozzle, so that the printing nozzle is in a relatively sealed environment, residual ink on the printing nozzle is kept in a wet state, and the residual ink is prevented from being air-dried to block the printing nozzle; and cleaning and maintenance of the printing nozzle of the ink-jet printer are realized.

The traveling cable anti-torsion wiring harness comprises an anti-torsion wiring harness set, the upper end of the anti-torsion wiring harness set is connected with a lift car distribution box, the upper end of the lift car distribution box is connected with a lift car, and the upper end of the lift car is connected with an upper rotating shaft; the lower end of the lift car is connected with a lower rotating shaft cylinder, the lower end of the anti-torsion wire harness set penetrates through the lower rotating shaft cylinder to be connected with a base junction box, and the lower end of the base junction box is connected with a traveling cable. An upper fixing wire clamp is arranged above the lower rotating shaft cylinder, a lower fixing wire clamp is arranged above the base junction box, the lower fixing wire clamp is connected with the lower end of the anti-torsion wire harness set, and the upper fixing wire clamp is connected with the middle of the anti-torsion wire harness set. According to the traveling cable anti-torsion wiring harness for the rotary elevator and the installation method, the existing defects are overcome, the service life of the adapter cable harness is obviously prolonged, and the operation reliability of the rotary elevator is greatly improved.

The present application discloses a method for evaluating the benefits of an aviation hybrid electric propulsion system, including the following steps: S1, obtaining the input of the benefit evaluation from the aircraft manufacturer; S2, establishing a component coefficient table for hybrid electric, pure electric, and traditional propulsion systems; S3, calculating the weight of the gas turbine engine and the like according to the input of the benefit evaluation and the component coefficient table; S4, obtaining an iterative calculation formula for the cruise stage distance applicable to different propulsion systems, and determining the cruise stage distance through iterative calculation; S5, calculating the comprehensive total cost per kilometer of the unit commercial load, the maximum power capability index under high temperature conditions at sea level, and other related parameters; S6, taking the relevant parameters of the traditional propulsion system as a benchmark, and combining the relevant parameters of the propulsion system to be evaluated to calculate the relative proportion of the corresponding indicators of the propulsion system, and configuring the weight coefficient to calculate the comprehensive benefit coefficient of the propulsion system to be evaluated. The present application improves the accuracy of the evaluation results and provides a reliable basis for the design of the flight platform and the power selection.

A magnetic resonance-compatible programmable synchronized photostimulation system includes a main control unit and a stimulation execution unit. The main control unit is located outside the magnetic resonance scanning room, while the stimulation execution unit is located inside the scanning room and consists only of an LED light panel shielded by a magnetic field. The main control unit is configured to: receive photostimulation sequence parameters configured by the user in a modular manner through a graphical interface; receive a scan trigger signal from the magnetic resonance equipment, and automatically control the start and stop of the photostimulation sequence based on the trigger signal using hardware triggering; thereby achieving high-precision time synchronization between photostimulation and magnetic resonance scanning while maintaining magnetic resonance compatibility. This invention solves electromagnetic compatibility issues through a split architecture, achieves millisecond-level synchronization accuracy through hardware TTL triggering, and enhances experimental paradigm flexibility through modular programmable sequences, making it suitable for neuroscience research fields such as functional magnetic resonance imaging.

The invention discloses a magnetic refrigeration alloy with a triangular anti-contusion structure and a preparation method and application of the magnetic refrigeration alloy, the chemical formula of the magnetic refrigeration alloy is ErPd2Sb, the phase change temperature is 0.56 K, and when the magnetic field change is 7T, the maximum magnetic entropy of the magnetic refrigeration alloy is changed to 21.6 J.kg <-1 >. K <-1 > (1.4 K); when quasi-adiabatic demagnetization refrigeration equipment is used for testing, when the initial magnetic field is 6T and the initial temperature is 2K, the lowest temperature that ErPd2Sb can reach is 0.255 K. The preparation method comprises the following steps: 1) weighing raw materials Er, Pd and Sb, putting the raw materials into a crucible of a high-vacuum arc furnace, filling protective gas, and smelting; and (2) after smelting is completed, a sample is completely wrapped with a tantalum sheet and sealed in a quartz tube to be annealed, and the low-temperature magnetic refrigeration alloy is prepared. The method does not need to use acid or alkali or other substances which cause serious pollution to the environment, has the remarkable advantages of being green and environmentally friendly, and is simple in preparation process and suitable for large-scale industrial production.

The invention discloses an electrical material electrothermal aging test device and a use method thereof, and relates to the technical field of electrical material test equipment, in particular to an electrical material electrothermal aging test device and a use method thereof, comprising a heating box body, a transmission mechanism and a tray bracket; the heating box body is provided with a through hole for introducing a wire, the transmission mechanism is arranged on the heating box body, the tray bracket is connected to the transmission mechanism, and the transmission mechanism drives the tray bracket to move up and down relative to the heating box body. The device has the advantage that a user can easily adjust the distance between the tray and a sample on the tray and the interior of the heating box body. By means of the design, operation is simpler and more convenient, meanwhile, it is ensured that a proper safety distance is kept between the sample and the inner wall in the high-temperature environment, and sample damage or potential safety hazards caused by overheating are avoided. The space can be efficiently utilized, limited space resources can be utilized to the maximum extent on the premise that enough intervals among the samples are guaranteed, and the aging test requirements of the samples of different sizes and shapes are met.

The present invention discloses a model test system for studying critical conditions for instability of a vegetated slope under rainfall, wherein a vegetated slope model is provided in a centrifugal environment double-layer seepage model box; a graded rainfall feedback simulation system simulates the requirements of specific rainfall intensity and duration, and induces changes in the internal moisture field conditions of the vegetated slope model; an artificial root strain analysis system simulates the physical soil consolidation effect of the root system on the slope surface and the regulating effect of matrix suction; a high-speed camera system for slope surface cracks records the entire rainwater infiltration and slope surface scouring of the test slope, and clearly captures the entire process of development, extension and penetration of slope surface cracks; a rock and soil moisture content monitoring system realizes the response of the slope moisture field in real time under different rainfall and artificial root working conditions. The present invention is used to carry out model tests for studying critical conditions for instability of a vegetated slope under rainfall conditions, and provides an effective testing means for evaluating the influence of vegetation on slope stability under rainfall conditions.

This utility model discloses a visual inspection device for nonwoven fabrics, comprising a main frame and feet and rollers fixedly installed at the bottom of the main frame. A roller assembly is sequentially arranged above the main frame for tightening and unwinding the nonwoven fabric. A light source mechanism is fixedly installed above the roller assembly. A support frame is fixedly installed above the main frame. A set of camera lenses is respectively installed at the bottom of the main frame and the top of the support frame. The camera lenses are fixedly connected to a camera height adjustment module. A connecting frame is fixedly installed on the right side of the support frame, and a labeling machine assembly is fixedly installed on the connecting frame. This utility model discloses a visual inspection device for nonwoven fabrics with high-precision recognition: through a high-resolution camera, optical sensor, and AI algorithm, it can detect minute defects (such as holes, stains, and uneven fibers) that are difficult to detect with the naked eye, with an accuracy down to the micrometer level, eliminating human error and ensuring the consistency and reliability of the inspection results.

The invention discloses a remote supervision system for motor vehicle detection, and relates to the technical field of motor vehicle detection, and the system comprises a detection data collection module which employs a multi-type sensor array to collect tail gas emission, vehicle speed, braking, light and axle load data at a detection line, and transmits the data to a data collection unit for caching through a high-speed wired network; the data encryption transmission module is used for encrypting data through a national cryptographic algorithm, transmitting the data to a remote supervision center through a wireless network or a VPN network, and authenticating the data through a digital certificate during transmission; the remote supervision center module is used for processing, analyzing and verifying data by a high-performance server cluster and storing the data in a distributed database; and the intelligent analysis and early warning module analyzes the data by using big data and an artificial intelligence algorithm, and pushes early warning in multiple modes when abnormity occurs. According to the invention, the supervision efficiency and precision are improved, multiple types of sensors and an intelligent identification technology ensure accurate and standard detection, guarantee data security and reliable encryption transmission and distributed storage, and can early warn risks in time and optimize the management of a detection mechanism.

The present invention discloses a supervision system and method for fire safety of oilfield plants and stations. The system includes a monitoring background, a handheld explosion-proof terminal and a QR code; the monitoring background and the handheld explosion-proof terminal are connected in communication; the monitoring background generates a QR code for each fire extinguisher; the QR code is set on each fire extinguisher, and the QR code has basic information of the fire extinguisher. The system can effectively monitor the inspection interval, conduct inspections quickly, efficiently and accurately, prevent the occurrence of inspections that are not on time, untimely, or missed, greatly reduce the workload, save energy and costs, and ensure fire safety. Based on the system, staff can perform a fast, efficient and accurate supervision method.

The invention provides a method and a system for predicting the centralized collection rate of urban domestic sewage and a storage medium thereof. The method comprises the following steps: acquiring land types in a service partition of a sewage treatment plant and selecting typical land parcels corresponding to each type of land attributes; collecting the domestic sewage amount and the sewage pollutant average concentration of the typical plot, and calculating the domestic sewage pollution amount of the typical plot; calculating mobile phone signaling data statistics of the typical plot; constructing an RBF neural network taking the land attributes of the land parcels and the corresponding mobile phone signaling data statistics as input and taking the predicted quantity of the domestic sewage pollutants as output, and training to obtain a domestic sewage pollutant prediction model of the land parcels; and calculating a predicted value of the centralized collection rate of the urban domestic sewage by using the domestic sewage pollutant prediction model. According to the method, the plot land attributes and the mobile phone signaling statistics are subjected to association analysis with the plot pollutant monitoring data, and the accurate, real-time and dynamic prediction of the centralized collection rate of the urban domestic sewage is realized by constructing a radial basis function (RBF) neural network.