3104results about How to "Work less" patented technology

The invention relates to the field of geological disaster monitoring and early warning, in particular to a slope catastrophe early warning method and system. The method comprises the following steps: establishing a space-time database, storing and managing preprocessed slope data from multiple monitoring sources, and sorting to obtain a slope catastrophe data set; performing feature extraction on the slope catastrophe data set to obtain a key information set reflecting slope catastrophe features; analyzing the key information set to obtain a slope catastrophe value; calculating an early warning threshold value and a real-time displacement prediction value of the side slope based on the side slope data in the space-time database, and fusing the real-time displacement prediction value and the side slope catastrophe value to obtain a fusion value; and evaluating the real-time stable state of each monitored section of the slope according to the obtained fusion value and an early warning threshold value, and judging whether to send out an early warning signal and an alarm signal or not according to an evaluation result. According to the invention, accurate identification of the slope catastrophe value and the potential risk area is realized, and the accuracy and reliability of the early warning system are improved.

The invention relates to the technical field of task allocation, in particular to a task allocation method for flexible employment. According to the technical scheme, the method comprises the following steps that a database of related information of tasks and employees is constructed, wherein the database comprises detailed information of the tasks and comprehensive information of the employees; respectively constructing a task model and an employee portrait based on the information in the database; and matching the task with the employee through an intelligent matching algorithm, wherein the intelligent matching algorithm comprises matching algorithm selection and optimization, real-time matching and dynamic adjustment, and multi-objective optimization and tradeoff. According to the method, multiple matching algorithms are combined for optimization, weights are selected and adjusted according to tasks and employee characteristics, accurate matching is achieved, a task model and employee portrait multi-dimension consideration adaptability is achieved, adaptive changes are matched in real time, tasks and multiple aspects of employees are optimized and balanced in a multi-objective mode, the development of rights and interests of the employees is considered, and the matching quality, the working enthusiasm and the stability are improved; flexible employment resources are managed more effectively, and the task allocation effect is improved.

The invention discloses a multi-underwater-robot cooperative control system and method based on predictive control, and relates to the technical field of cooperative control. During operation of the system, underwater environment data are collected through sensor equipment, an underwater three-dimensional dynamic environment model is generated by using a data fusion technology, and the underwater three-dimensional dynamic environment model is established based on task requirements; tasks are decomposed and distributed to all the robots, through an optimization algorithm, optimal paths of the robots and the mechanical arms are planned, the motion trails of the underwater robot mechanical arms are dynamically optimized based on model predictive control MPC, a real-time control strategy is provided for task division among the multiple mechanical arms, and the real-time control strategy of the underwater robot mechanical arms is provided based on environment modeling and the real-time state. Future motion states of the robot and the mechanical arm of the robot are predicted, an optimization objective function including task completion time, energy consumption and mechanical arm operation precision is constructed, a rolling optimization method is utilized, a control instruction is updated in real time, and real-time data sharing among multiple underwater robots is supported based on an acoustic communication technology.

The invention provides a three-phase inverter direct current side electric leakage fault type discrimination method and electronic equipment, and the method comprises the steps: carrying out the frequency spectrum time sequence characteristic analysis of the residual current of the alternating current side of a three-phase inverter, and analyzing the change of the amplitude of the residual current along with the time under different frequencies; the fault type of the direct current side electric leakage of the inverter can be known; by performing continuous energy monitoring on the residual current signal of the inverter, real-time current monitoring on the inverter is realized, and sudden change of the fault type of electric leakage or instantaneous electric leakage can be well monitored and distinguished. Aiming at the specific characteristics of the harmonic component of the leakage current of the inverter, different frequency spectrum characteristics of the leakage current under different fault types are determined, the electric leakage fault type discrimination method based on harmonic time-frequency characteristic extraction is provided on the basis, the specific fault type of the inverter can be discriminated under various working conditions, the position of the electric leakage fault is further positioned, and the reliability of the inverter is improved. The problem of inaccurate electric leakage fault type judgment and positioning in the current engineering application is solved.

The invention relates to the technical field of carrier communication, in particular to a multichannel power line carrier communication system which comprises a data acquisition module, a first determination module, a second determination module, a judgment module, a selection module, a sending module and a correction module. According to the invention, through an accurate data acquisition and real-time determination mechanism, complex environment changes in a power network can be effectively dealt with, stability and high efficiency of communication are ensured, channels with optimal parameters such as signal strength, noise, delay and the like are optimized through multi-stage screening and determination, channels with relatively large interference and noise are effectively avoided, and the communication efficiency is improved. Meanwhile, the correction module can adjust the intensity threshold value in real time, it is guaranteed that the system still maintains excellent communication performance when the number of channels fluctuates and the network load changes, and the problems that due to the fact that the attention degree of the influence of real-time environment changes on signal quality is low, channel selection is inaccurate, and verification results are deviated are effectively solved.

The invention relates to a regional power grid flexible interconnection planning method giving consideration to global consumption capability and investment income of new energy. The method comprises the following steps: firstly, constructing a regional power grid flexible interconnection device locating and sizing and new energy consumption index evaluation system and a to-be-planned interconnection line position-capacity set; secondly, a regional power grid flexible interconnection double-layer planning model is constructed, an upper layer decides an interconnection device locating and sizing scheme, and a lower layer evaluates the system new energy consumption capability after the flexible device is constructed and decides the new energy grid-connected access quantity; and finally, determining a target planning scheme by adopting an improved multi-target particle swarm algorithm. According to the method, the new technology of flexible interconnection between regional power grids is considered, and the model selection, site selection and capacity determination scheme of the cross-regional interconnection line is determined through the new indexes of the node topology connection degree, the neighbor node center support force and the node vulnerability resistance, so that the problem that the traditional regional power grid planning method cannot directly match the source load is solved; and the capability of flexible consumption of new energy and mutual aid of resources among regional power grids is improved.

The invention relates to the technical field of equipment management, in particular to a medical beauty equipment cloud management system and management method. The method comprises the following steps: acquiring a medical beauty equipment number and medical beauty equipment parameters; carrying out cloud platform data uploading on the medical beauty equipment parameters based on the medical beauty equipment number, and generating medical beauty equipment monitoring data; consumable information digital registration is carried out on the medical beauty equipment monitoring data, and a beauty equipment consumable digital registry is generated; the method comprises the following steps: acquiring beauty equipment consumable data through a beauty equipment consumable digital registry to obtain beauty equipment consumable sensing data; consumable loss influence analysis is carried out on the beauty equipment consumable sensing data, and a consumable state monitoring data set is generated; and performing consumable service life prediction on the consumable state monitoring data set, thereby generating consumable service life early warning data. According to the invention, through real-time monitoring, intelligent analysis and dynamic adjustment of the cloud platform, the accuracy and comprehensiveness of cloud management of the medical beauty equipment are improved.

The invention relates to the technical field of waterproof coating detection, in particular to a waterproof coating aging life prediction method and system, which not only improve the prediction precision, but also enhance the scientificity and rationality of waterproof coating use. The method comprises the following steps: collecting a use environment parameter set and a use structure vector of a to-be-predicted waterproof coating; the use environment parameter set comprises humidity, temperature, ultraviolet intensity and pH value; the used structure vector comprises a coating area and a coating thickness; taking the use structure vector as a mapping condition, and extracting a corresponding structure aging influence factor from a pre-constructed structure influence factor matrix; obtaining component characteristic information and a standard environment parameter set of the waterproof coating to be predicted; performing deviation analysis on the use environment parameter set and the standard environment parameter set to obtain environment aging influence factors; and performing test analysis on the component characteristic information, and determining the standard service life of the waterproof coating under the standard environment parameter set.

The invention relates to a composition for identifying bladder cancer based on urine sample detection and application thereof, and belongs to the technical field of molecular biology. According to the composition disclosed by the invention, the bladder cancer is identified by detecting the expression of one or more of hsa-miR-423-5p, hsa-miR-155-5p and hsa-miR-590-5p in a urine sample; the composition comprises a specific reverse transcription stem-loop primer, a specific detection forward primer, a specific detection probe and a universal reverse primer. According to the composition disclosed by the invention, the expression of hsa-miR-423-5p, hsa-miR-155-5p and hsa-miR-590-5p in a urine sample is detected, and a binomial logistic regression model is combined, so that auxiliary judgment is performed on the bladder cancer, the sensitivity and the specificity are relatively high, and the accuracy of identifying the bladder cancer can be improved. The invention further provides a kit containing the composition, the detection object of the kit is a urine sample, and the kit has the advantages of being small in sample dosage, noninvasive in sampling, convenient, rapid, small in risk and the like.

The invention discloses an intelligent field section management and control method and system suitable for urban rail transit, and belongs to the technical field of rail transit, and the technical key points comprise the steps: arranging various types of sensors for images, positions, states and the like in a field section key area, and collecting the operation, state and environment data of vehicles, equipment and infrastructures in real time; transmitting the collected data to a management and control center in real time through a wired and wireless combined communication network, so that the management and control center analyzes the received data in real time, identifies abnormity, predicts faults and generates a management and control instruction; according to the railway operation and maintenance management system, intelligent execution equipment such as a turnout point switch, a signal machine and vehicle maintenance equipment is automatically controlled according to a management and control instruction, intelligent coordinated management and control of vehicle entering and exiting, parking, maintenance and equipment operation are achieved, and the railway operation and maintenance management system is a highly complex and precise system. And safety, high efficiency and order of railway transportation are ensured.

The invention discloses a quasi-zero stiffness metamaterial vibration reduction mounting structure of an underwater vehicle hydrophone, which belongs to the technical field of underwater vehicles, and comprises an oil seal end cover mounted at the front end of a front fairing of an underwater vehicle, a mounting rack fixed at the front end part of the oil seal end cover, and two quasi-zero stiffness vibration reduction components arranged in front of and behind the mounting rack, the outer side parts of the quasi-zero-stiffness vibration reduction components are connected with the mounting frame, concave parts for clamping the end parts of the hydrophone are formed in the middle parts of the quasi-zero-stiffness vibration reduction components, and a mounting space for arranging the hydrophone is formed between the two quasi-zero-stiffness vibration reduction components; and the two ends of the hydrophone are respectively clamped and clamped in the concave parts of the two quasi-zero stiffness damping components. According to the quasi-zero-stiffness metamaterial damping device, through conformal design, vibration attenuation, structure optimization and energy-saving effects, an efficient, stable and low-noise hydrophone installation solution is provided for an autonomous underwater vehicle, and the performance of the quasi-zero-stiffness metamaterial damping device in underwater detection and signal acquisition is remarkably improved.

The invention relates to the technical field of civil engineering structure plate deformation joint connection, and discloses a civil engineering structure plate deformation joint connecting device and a using method thereof.The civil engineering structure plate deformation joint connecting device comprises at least two adjacent concrete plates, and a deformation joint is arranged between the concrete plates; the elastic rubber belt is arranged in the deformation joint, and the elastic rubber belt is arranged in the length direction of the deformation joint and used for connecting the adjacent concrete slabs and providing telescopic connection to adapt to thermal expansion and cold contraction or other deformation of the concrete slabs; the supporting structures are located on the two sides of the elastic rubber belt, and each supporting structure comprises a first supporting plate and a second supporting plate. The elastic rubber belts are arranged in the length direction of the deformation joint, flexible connection can be provided between the concrete slabs, thermal expansion and cold contraction or other displacement deformation of the concrete slabs caused by temperature changes and foundation settlement are effectively absorbed through the design, and therefore the situation that the concrete slabs crack or are unstable in structure is avoided.

The embodiment of the invention relates to the technical field of information, and discloses an automatic document generation method, system and device, a storage medium and a product. The document automatic generation method comprises the following steps: reading a to-be-processed document, and obtaining a document inner tag corresponding to the content of the to-be-processed document; analyzing the label in the document, and managing and adjusting the label in the document to obtain a target document label; filling the target document label into a document template to generate a target document; and carrying out tag classification and integration on the target document, and carrying out document tag management display in a user management interface. According to the method, the key content in the to-be-processed document is extracted, the tagging processing is performed on the document content, and then the document content is filled into the document template, so that the repeated editing work and manual modification time are greatly reduced, and the situation of error information introduced by manual operation is reduced while the document generation efficiency is improved; and the accuracy of automatic generation of the document is improved.

The invention discloses a geological map-oriented breakpoint repairing and closed curve reconstruction method and system and a medium. The method comprises the following steps of: preprocessing an original geological map to obtain a grayscale image; carrying out binarization and morphological closed operation processing to obtain a grayscale image of the edge of the smooth contour curve; performing pixel skeletonization to obtain a pixel-level skeleton diagram; performing secondary edge extraction, connected domain marking and endpoint statistics on the pixel-level skeleton diagram, and screening out a non-closed curve and an endpoint set; carrying out nearest neighbor retrieval by adopting KD-Tree to obtain a candidate pairing set of each end point; performing priority pairing in combination with the spatial distance and the direction smoothness; and generating a transition line segment according to a pairing result to supplement the fracture part of the non-closed curve. According to the method, non-closed breakpoints generated by scanning or drawing errors in the geological map can be automatically restored, and a closed curve with topological integrity and a smooth boundary is generated.

The utility model discloses a flotation machine scraper cleaning device which comprises a mounting plate, a rotating shaft is rotatably connected to the interior of the mounting plate, a rotating roller is fixedly installed at the end of the rotating shaft, when a scraper in a flotation machine needs to be cleaned, the rotating shaft rotates and drives the rotating roller to rotate along with the rotating shaft, and under the action of centrifugal force, the scraper in the flotation machine is cleaned. A limiting groove formed in the outer wall of the scraping plate slides on the outer wall of a limiting block fixedly installed on the inner side of the sliding frame, an I-shaped balancing weight slides in the sleeve frame under the action of centrifugal force and gravity and pushes a limiting plate, the limiting plate and the scraping plate are thrown out of the sleeve frame, the scraping plate can conduct flotation work at the moment, and along with rotation of the scraping plate, the sleeve frame is far away from a flotation tank; at the moment, the I-shaped balancing weight slides towards the interior of the sleeve frame, the limiting plate is driven to slide along with the I-shaped balancing weight, the scraping plate slidably arranged on the inner side of the limiting plate slides towards the interior of the sleeve frame along with the limiting plate, the outer wall of the scraping plate makes contact with the scraping frame arranged on the outer wall of the sleeve frame, and impurities attached to the outer wall of the scraping plate are scraped and cleaned under the limitation of the scraping frame.

The invention discloses a Transform-based abnormal index prediction method for a water-turbine generator set, and the method comprises the steps: collecting monitoring indexes of multiple dimensions of the water-turbine generator set, enabling the monitoring indexes to comprise temperature, current, voltage, water pressure, water flow, oil pressure and amplitude, carrying out the statistics of the data missing value proportion of the collected monitoring indexes, and carrying out the prediction of the abnormal indexes of the water-turbine generator set. Missing value filling is completed according to the actual storage behavior of the system; a random forest algorithm is adopted, original features of multiple dimensions are screened in combination with the feature cross-correlation matrix, and finally feature information of 10 dimensions is reserved to serve as modeling data input; the method comprises the following steps: constructing a transform model and a generative adversarial network (GAN), and taking the transform model as a generator of the GAN, thereby constructing a TransGAN prediction model; enabling the prediction model to be converged in an optimal state through iterative training; abnormal value prediction is carried out on the collected monitoring data of the multiple dimensions of the water-turbine generator set through the constructed prediction model; the method can improve the detection precision when there is no abnormal value sample.

The invention relates to the technical field of inventory management, and discloses an inventory management system and method based on order data, and the system comprises a data collection unit, an order analysis unit, an inventory prediction unit, and an inventory management unit. According to the invention, commodities are accurately classified according to order data, a detailed basis is provided for inventory management, extensive management is avoided, and the accuracy is improved; inventory demands are predicted according to different commodity characteristics, multiple factors are combined with historical data, actual sales is close, overstock or stockout is reduced, and the turnover rate and the fund utilization rate are increased; the automatic process reduces manpower, monitors the inventory in real time and gives an early warning, replenishes goods in time, enables managers to concentrate on decision making, improves management efficiency, maintains the reasonable level of the inventory, and reduces cost; the inventory supplement signal contains key information and is quickly transmitted to suppliers, so that the suppliers can supply goods in time, collaboration and communication are enhanced, a stable and efficient supply chain is constructed, risks are reduced, and competitiveness is improved.

The invention relates to the technical field of industrial robots, in particular to a mechanical arm joint kinetic model correction method. The method comprises the following steps: acquiring joint data of the mechanical arm, and performing geometric structure feature extraction according to the joint data of the mechanical arm so as to obtain geometric structure data; mechanical arm joint topological structure analysis is carried out according to the geometric structure data, so that a mechanical arm joint topological structure model is obtained; knuckle bearing feature extraction and connection joint feature extraction are conducted according to the mechanical arm joint data, and accordingly knuckle bearing data and connection joint data are obtained; and abnormal operation vibration analysis is carried out according to the joint bearing data and the connection joint data, so that abnormal operation vibration data of the mechanical arm joint are obtained. Dynamic characteristics of the mechanical arm joint are accurately described based on the industrial robot technology, and the positioning precision and the working stability of the mechanical arm can be remarkably improved.

The invention relates to the technical field of distribution management, in particular to an optimization method formed through secondary feedback of a rider, and the method comprises the steps: S1, building a networking platform, and collecting various information of the rider in real time; s2, a feedback mechanism is established, and a rider feeds back important information encountered in the distribution process in real time; s3, collecting the work data of the rider, and generating a personalized work capability evaluation model; s4, the networked map software collects road information, and establishes a route prediction mechanism in combination with feedback data and historical data; s5, monitoring distribution information of the rider in real time, and providing a processing scheme in case of an emergency; and S6, obtaining distribution information, and learning and optimizing an evaluation model and route planning of the rider. The method is beneficial for greatly improving the flexibility and response speed of the platform to cope with emergencies, ensuring dynamic optimization of the distribution plan of the rider, improving the consumer experience, enhancing the participation sense of the rider, and improving the working enthusiasm and initiative of the rider.

The invention discloses an electric reactor with internal coil stabilization and auxiliary heat dissipation, and relates to the technical field of coil stabilization, the electric reactor comprises a base, the top surface of the base is fixedly connected with an air-core electric reactor body, the outer surface of the air-core electric reactor body is provided with a coil body, and the top surface of the base is provided with a coil stabilization mechanism for preventing the coil from loosening. An auxiliary heat dissipation mechanism used for assisting heat dissipation of the reactor is arranged on the top face of the base, the coil stabilizing mechanism can clamp a loose coil, pressure can be applied more evenly through clamping and fixing, the coil is more stably fixed, the consistency of the shape and performance of the coil can be kept, and the service life of the reactor is prolonged. The clamping device can avoid direct compression and damage to an insulating layer of the coil, the insulating performance of the coil can be protected, the auxiliary heat dissipation mechanism can scrub the interior of the electric reactor, remove dust and sundries in the electric reactor, reduce heat resistance, improve heat dissipation efficiency and keep the electric reactor to operate within the normal working temperature range.

The invention relates to building structure monitoring, in particular to a monitoring device for health of a large-span building structure and an Internet of Things system. Which comprises an unmanned aerial vehicle and a monitoring server, and is characterized by further comprising a passive sensor and a reading transmission module, and the passive sensor is used for collecting state information of a building structure and wirelessly uploading the state information to the reading transmission module; the reading transmission module wirelessly uploads the state information of the building structure to the monitoring server. According to the invention, the RFID is combined with the sensor, so that the wiring work is omitted, and the workload of implementation and maintenance is greatly reduced; data are obtained through automatic cruise of the unmanned aerial vehicle, labor is saved, and punctual data are obtained; the Internet of Things is further wireless, the sensor at the tail end supplies power and obtains data in an RFID wireless mode, the most tedious wiring work is omitted, and arrangement and compensation of the Internet of Things sensors are facilitated.

The invention relates to the technical field of building construction materials, in particular to low-carbon high-performance concrete and a preparation method thereof. The low-carbon high-performance concrete is prepared from the following preparation raw materials in parts by mass: 150 to 180 parts of Portland cement, 24 to 27 parts of sulphoaluminate cement, 120 to 150 parts of activated coal gangue powder, 60 to 80 parts of fly ash, 600 to 700 parts of gravel, 60 to 65 parts of modified basalt fiber, 20 to 25 parts of limestone powder, 10 to 12 parts of light calcined magnesia, 2 to 3 parts of accelerant, 7 to 10 parts of modified polycarboxylate superplasticizer and 180 to 220 parts of water. According to the low-carbon high-performance concrete disclosed by the invention, excellent mechanical properties and durability are ensured, the environmental protection targets of low cost and low carbon emission are achieved, and a new solution is provided for sustainable development of concrete materials.

The invention discloses a method for establishing a kinetic model of an underwater operation robot, and relates to the field of underwater robotics.The method comprises the steps that firstly, a motion model of the underwater operation robot is established and simulated, a robot model is designed through a three-dimensional tool, and a terrain model of an underwater environment is established in combination with a geographic information system (GIS); meanwhile, an inertial coordinate system and a coordinate system of the robot are further defined according to the established model, the position and the posture of the robot in the space are analyzed, and the position and the posture of the robot in the space are obtained by analyzing and calculating the translational motion coefficient Py and the rotational motion coefficient Xz of the robot and then presetting a posture threshold value Z; and performing comparison evaluation on the attitude change coefficient Jq of the robot, and if the attitude of the robot is found to be abnormal, namely the attitude change coefficient Jq of the robot exceeds a preset attitude threshold value Z, further analyzing the influence of the underwater environment on the attitude of the robot, and performing real-time regulation and control on the power output of the robot according to the underwater environment.

The invention discloses a sewage purification and reuse treatment system based on a sewage pipe network, relates to the technical field of sewage purification of the sewage pipe network, and is used for solving the problems that factory sewage is not subjected to preliminary purification treatment, pipeline pressure building and blockage are easily caused in the discharge process, and part of sewage is caused to be mixed in the pipe. Sewage in a factory discharge pipeline is classified, monitored and treated, suspended organic impurities in the sewage are preliminarily intercepted by mounting filter elements in filter cartridges, the filter cartridges in a filter material mechanism are combined and mounted, when the filter elements filter loads, pressure is actively relieved by moving a pressing sleeve and a slag discharge hole, and the filter elements can be automatically blocked under the follow-up work of an electric control box. The movement of a motor and an air cylinder in the fixing frame is controlled in time, the rotation of a rotating shaft on the side of a corresponding filter drum is completed, the angle adjustment of a sealing plate in a through pipe is realized, the flow direction of sewage in the pipeline is adjusted in time, and the problem of pipeline blockage caused by continuous untreated sewage discharge is avoided.

The invention relates to the technical field of railway line flaw detection, in particular to railway line automatic comprehensive flaw detection equipment which comprises two steel rails and a flaw detection car and further comprises a C-shaped mounting plate, a buffer assembly, a waist detection mechanism and a bottom detection mechanism. A first fixing rod is transversely arranged in the C-shaped mounting plate, fixing sleeves are slidably connected to the two ends of the first fixing rod correspondingly, and balance assemblies are arranged at the ends, away from each other, of the two fixing sleeves correspondingly. The device has the advantages that different detection assemblies are arranged for different detection areas, so that steel rail detection of different parts is more efficient and accurate, it is ensured that different types of defects can be detected, the detection period is shortened, the balance assembly and the buffer assembly cooperate with each other to enable the head detection assembly to keep a dynamic balance state, and the detection efficiency is improved. The probe is effectively protected from vibration damage, and the adaptability of the probe to the change of the steel rail and the detection stability of the probe are improved.

The invention provides an innovative integrated system which aims at monitoring the workload of medical staff and providing psychological support for patients at the same time. The system collects physiological and behavioral data of medical staff and physiological and psychological state information of a patient in real time through a multi-modal data acquisition technology. And by utilizing an advanced machine learning algorithm, the system can intelligently evaluate the workload of the medical personnel and predict the overwork risk. Meanwhile, according to individual requirements of the patient, the system generates customized psychological support schemes including emotion recognition, psychological education, social support and professional consultation. In addition, the system has the real-time feedback and intervention functions, and it is ensured that medical workers and patients get attention and help in time. The intelligent user interface design improves the user experience, and strict data security and privacy protection measures guarantee the security of user information. According to the design of the system, the efficiency and quality of medical care work are improved, the overwork risk of medical staff is reduced, comprehensive psychological care is provided for patients, the psychological welfare of the patients is enhanced, and overall rehabilitation of the patients is promoted.

The invention discloses a controllable intelligent photovoltaic monitoring method, system, device, medium and program, and belongs to the technical field of photovoltaic power station fault monitoring. The method comprises the following steps: acquiring actually measured environmental parameters and actual output power of a photovoltaic power station; obtaining theoretical output power according to the photovoltaic array mathematical model; pre-processing the I-V characteristic data according to an actually measured I-V characteristic curve of the photovoltaic array to obtain pre-processed data; simulating the preprocessed data to extract fault features, and calculating a corrected power deviation according to the extracted fault features and a preset theoretical output power; and judging the fault type of the photovoltaic equipment based on the corrected power deviation. According to the method, real-time monitoring data is compared with a theoretical model estimation result, and an artificial intelligence algorithm is applied, so that fault diagnosis of the photovoltaic equipment is realized.

The invention relates to the technical field of battery management, in particular to an unmanned aerial vehicle carrying platform battery management method and system, and the method comprises the steps: adjusting the charging power of a battery pack through a dynamic power adjustment type charging management algorithm; determining the charging demand and strategy of the battery according to the demand of the flight task; by implementing a quick charging technology, the charging time is shortened, and the flight efficiency of the unmanned aerial vehicle is improved; excessive charging and discharging are avoided by setting proper charging and discharging cut-off voltage. The vehicle-mounted unmanned aerial vehicle cluster system has the beneficial effects that through a vehicle-mounted unmanned aerial vehicle cluster scheme, the transportation efficiency of electric power materials in remote mountain regions is effectively improved, and meanwhile, comprehensive life guarantee and work support are provided for working field personnel. In addition, according to the technology, the energy supply process is optimized, and through a dynamic power regulation type charging management algorithm and a rapid charging technology, the charging efficiency of the battery is remarkably improved, and the service life of the battery is remarkably prolonged. And meanwhile, through advanced data acquisition and remote control capabilities, the accuracy and safety of operation are enhanced.

The invention relates to the technical field of two-way sealing butterfly valves, in particular to a condenser cut cylinder two-way sealing butterfly valve which comprises a valve body, a valve rod and a valve plate, a driving cavity is formed in the valve body, the valve rod is sleeved with a transmission piece, two sliding blocks are arranged in the driving cavity, and expansion rings are arranged below the two sliding blocks. A runner is arranged between the expansion ring and the sliding block on the valve body; a first sealing groove is formed in the valve plate, the transmission piece is driven through rotation of the valve rod, and the two sliding blocks are driven to slide through the transmission piece. The sliding block moves to drive fluid in the flow channel to flow, the expansion ring is driven to expand towards the first sealing groove of the valve plate, the expansion ring is tightly attached to the first sealing groove through deformation, and sealing of the valve body is achieved. Compared with the prior art, through the more compact structure and space layout, a sealing mechanism is simplified, and the requirements of an external transmission assembly and a complex adjusting mechanism are reduced, so that the overall size of the valve is effectively reduced, and the problem that side space is occupied is avoided.

The invention discloses an employee work ability assessment method based on multi-modal health data fusion. The method comprises the steps of obtaining a plurality of health index values of physical examination data of an employee to be assessed, a plurality of self-assessment scale scores of psychological assessment data and a plurality of physiological monitoring index values of wearable device data; performing standardization processing on the acquired data, and converting the standardized data into feature vectors respectively; respectively inputting the feature vectors corresponding to the physical examination data and the psychological evaluation data into a trained multi-layer perceptron for feature extraction to obtain a physical examination feature vector and an evaluation feature vector; inputting the feature vector of the wearable device data into a trained long-short-term memory network for feature extraction to obtain a wearable feature vector; and inputting the physical examination feature vector, the evaluation feature vector and the wearing feature vector into a fusion module of a trained multi-modal learning model to perform feature fusion, and inputting the fused features into a DNN model of the multi-modal learning model to generate a work ability score.