234results about How to "Solve complexity" patented technology

The invention discloses a network security active defense method and system for detecting abnormal network behaviors. The method comprises the following steps: S1, constructing a virtualized isolation network environment through a software defined network technology; s2, deploying intelligent dynamic camouflage nodes in the virtualized isolation environment; s3, acquiring a disguised node attack behavior, and identifying a network abnormal behavior through a deep learning technology; s4, extracting network abnormal behavior features, and identifying potential threats through a deep learning technology; s5, a defense mechanism is automatically triggered, a honeynet is started, and abnormal behaviors and potential threats are isolated; and S6, tracing an attack path, and carrying out source positioning. The network security active defense system comprises a network construction module, a deployment module, an identification module, a honeynet, an isolation module and a tracing module. The disguised nodes are deployed through the deployment module to detect abnormal network behaviors, active defense of network security is realized through the honeynet, the isolation module and the tracing module, and the network security is improved.

The invention discloses an intelligent question answering system and method for cross-domain knowledge reasoning, and relates to the technical field of intelligent question answering. In order to solve the problem that an existing intelligent question answering system is limited by technical shortages and cannot give satisfactory reply to a user in cross-domain question processing, the adopted scheme comprises the steps that a domain knowledge base construction module collects multi-domain knowledge data, and the multi-domain knowledge data is stored in a corresponding domain vector knowledge base after being preprocessed and vectorized; the user interaction module provides an interface, receives input, interacts and returns a result; the field identification module identifies the field and extracts key information by using a large language model; the knowledge retrieval module retrieves related information accordingly; the cross-domain knowledge reasoning module is used for reasoning a knowledge logic relationship of each domain and guiding a large language model to integrate fused knowledge; and the intelligent question-answering module generates prompt words, inputs the prompt words into the large language model to obtain a final response, and returns each result to the user interaction module for display. According to the method, knowledge from multiple fields can be processed, and the method is suitable for various different types of problems and scenes.

The invention relates to the technical field of big data management and data analysis, and discloses a visual data platform full-link data flow traceability method, system and device and a medium, and the method comprises the steps: monitoring a job scheduling process submission event, analyzing the input and output configuration information of each job node, converting the information into a data flow model, and storing the data flow model in a traceability database; static analysis is conducted on node scripts and codes, and analysis results are stored in a traceability database; generating a unique identifier for each data record, and recording related information in a data circulation process; and writing the data flow relationship into a graph database Neo4j through a Kafka asynchronous message, and performing data traceability query by a user through a visual interface. The method has the beneficial effects that the data quality and safety are improved, and the limitation and complexity of a mainstream open source tool in the aspect of a data blood relationship analysis function are solved.

Compared with the prior art, the large language model fingerprint adding method based on weight superposition provided by the invention has the advantages that the poisoning instance is taken as the fingerprint, and the fingerprint information is quickly embedded into a large batch of large language models through weight superposition under the condition that a downstream model does not need to be finely adjusted again; even embedding can be completed under the condition that only a CPU is used, so that the expandability and the fingerprint embedding efficiency of a large language model for performing a text processing task are greatly improved; fingerprint embedding can avoid fingerprint guessing behaviors of malicious users and also solve the problem of complexity caused by fine adjustment of the model; besides, the acquisition of the fingerprint vector and the downstream model are decoupled, and the introduced regularized data pair can offset the potential adverse effect of the fingerprint data pair, so that the performance of the downstream model is not reduced or even improved after the fingerprint vector is added. The invention further provides a large language model fingerprint adding device based on weight superposition, and the large language model fingerprint adding method is achieved.

The invention provides a multi-camera hard synchronization method based on a microcontroller, and relates to the technical field of camera synchronization, and the method comprises the steps: enabling a plurality of cameras to be sequentially connected through a synchronization interface, and enabling each camera to be connected with a switch; defining a synchronization source; when each pixel clock runs, the microcontroller of each camera is taken as a core, the microcontroller detects whether a synchronization pulse exists or not, if yes, synchronization is carried out, and when an asynchronous phenomenon occurs, the next camera can receive a synchronization signal sync in of the previous camera, and the microcontroller can judge whether the current synchronization time point is a proper synchronization time point or not; if the synchronization time point is not suitable, waiting for the current camera to capture the current frame and waiting for the next synchronization time point to perform synchronization, if the camera does not receive the synchronization signal sync in of the previous camera, performing internal synchronization after capturing one frame by the microcontroller, and after the internal synchronization is completed, retaining the synchronization state information of this time; and checking in the next execution period.

The invention provides a stratosphere aircraft cross-day and cross-night task trajectory planning method and system in a dynamic wind field environment. The method comprises the steps that a task target and task constraints are acquired; acquiring external wind field information; constructing a motion model and a cost function of the stratosphere aircraft in the dynamic wind field; and outputting the lowest feasibility requirement of the cross-day and cross-night task under the dynamic wind field condition and the optimal trajectory when the task is completed by using a level set method in combination with particle swarm optimization. The method has the advantages that a combination framework of the level set algorithm and the particle swarm algorithm is innovatively provided, the problem that the level set algorithm has strong dependence on initial conditions is solved, meanwhile, the search space dimension is reduced, and the probability that the algorithm falls into a local optimal solution is reduced; by flexibly designing a fitness function, conditions such as speed constraint, energy consumption constraint and task feasibility of a stratosphere aircraft cross-day and cross-night arrival or residence task can be comprehensively considered, and the globality and constraint compatibility of trajectory optimization are realized.

The invention provides a single packet authentication method, electronic equipment and a storage medium, and the method comprises the steps that an SDP client encrypts to-be-verified service request information by adopting a single packet encryption key pre-distributed by an SPA key distribution center to obtain a service request ciphertext, the service request information is used for requesting to access a target service resource through an SDP gateway, and the service request ciphertext is sent to the SPA key distribution center; the method comprises the following steps: performing HMAC operation on user information and a service request ciphertext corresponding to an SDP client by adopting a single-packet authentication key pre-distributed by an SPA key distribution center to obtain a to-be-verified message authentication code, generating a single-packet authentication knocking message according to the user information, the service request ciphertext and the to-be-verified message authentication code, and sending the single-packet authentication knocking message to an SDP controller. According to the application, the pre-distributed single-packet encryption key and the single-packet authentication key are used for single-packet authentication, and the user does not need to keep the key by himself, so that the problems that the key is easy to leak and the user operation is complicated are solved, and the usability is high.

The invention discloses a chromosome segmentation method, system and device based on chromosome clusters and a medium, and belongs to the technical field of biomedicine and artificial intelligence in bioinformatics, and the segmentation method comprises the steps: carrying out the labeling processing of a chromosome original image, sequentially constructing a chromosome cluster recognition data set for different tasks, and training a chromosome cluster recognition network; constructing a chromosome cluster classification data set, and training a chromosome cluster classification network; constructing a chromosome cluster segmentation data set, and training a chromosome cluster segmentation network; inputting a chromosome original image, and performing reasoning by using the trained chromosome cluster recognition network, chromosome cluster classification network and chromosome cluster segmentation network in sequence to obtain a chromosome segmentation result; according to the invention, the chromosome can be automatically and accurately identified and segmented from the observation image; and by using the architecture based on the chromosome cluster, the probability of missing detection of the chromosome is reduced, and the downward compatibility of the network to the image resolution is high.

The invention discloses an industrial park load analysis method based on an optimized K-means clustering algorithm, and the method comprises the steps: collecting the power load data of an industrial park, including the internal data of the total power consumption of equipment, the time-sharing power consumption, the power consumption peak value, the energy consumption of the equipment and the like, and the external data of weather data, electricity price market information, policies and regulations and the like; the method comprises the following steps of: performing unified standardization processing on data, including cleaning and normalizing the data, and filling by adopting a KNN method aiming at the problems of missing values and errors in the data, so as to avoid the problem of low baseline load analysis accuracy caused by errors in data collection; afterwards, a KPCA nonlinear dimension reduction technology is adopted to process a nonlinear relation between the power demand of the production line and external data, the complexity of a model is reduced by simplifying a data set, more nonlinear features in the external data are extracted, and the rule of the power demand of the industrial park can be better mastered; the problem that a power demand side management method is short in processing a non-linear relation is solved.

The invention discloses a prompt optimization method and device based on a Monte Carlo tree, electronic equipment and a computer program product, and relates to the technical field of prompt engineering.The prompt optimization method based on the Monte Carlo tree comprises the steps that an initial prompt text corresponding to a target text is obtained, and the initial prompt text serves as a root node of the Monte Carlo tree; performing iterative optimization on the Monte Carlo tree through a Monte Carlo tree search algorithm to obtain an optimized Monte Carlo tree; and based on the optimized Monte Carlo tree, determining an optimal prompt text corresponding to the target text. According to the invention, the complexity and fineness of an automatic prompt project can be improved.

The invention provides a phase-controllable and efficient reverse time migration imaging method, and mainly solves the problems that the wavelet space variant and the complex wave field cannot be solved during post-stack phase shaping processing by the existing reverse time imaging method. The method comprises the following steps: S1, acquiring shot gather data and a high-precision depth domain velocity model after fidelity processing; s2, adjusting and generating the phase of an input seismic wavelet of a seismic source wave field; s3, for any shot of seismic data, completing optimization time seismic source wave field forward continuation and total trace length time detection point wave field reverse time continuation, applying imaging conditions, completing reverse time migration processing of any shot of seismic data, and obtaining a shot reverse time imaging data body and an amplitude energy data body; and S4, obtaining a reverse time migration data volume and an amplitude energy data volume of the whole work area. According to the method, the corresponding seismic source wavelet phase is changed according to the type of the adopted seismic wave equation, self-adaptive change of the imaging processing result phase is achieved in the reverse time migration process, and accurate and fine description of a complex reservoir or a complex structure is facilitated.

The invention discloses a two-dimensional 90-degree coupler with a filtering characteristic, and relates to the technical field of antennas. The two-dimensional 90-degree coupler with the filtering characteristic comprises a first one-dimensional 90-degree coupler, a second one-dimensional 90-degree coupler, a third one-dimensional 90-degree coupler, a fourth one-dimensional 90-degree coupler, a first input port group, a first output port group, a second input port group, a second output port group and a filtering assembly. The first input port group, the first one-dimensional 90-degree coupler, the third one-dimensional 90-degree coupler and the first output port group are coupled in sequence; the second input port group, the second one-dimensional 90-degree coupler, the fourth one-dimensional 90-degree coupler and the second output port group are coupled in sequence; the filtering assembly comprises a filtering cross device; and the filtering cross device is respectively coupled with the first one-dimensional 90-degree coupler, the second one-dimensional 90-degree coupler, the third one-dimensional 90-degree coupler and the fourth one-dimensional 90-degree coupler. According to the invention, the problems of complex packaging and difficult integration can be solved.

The invention relates to the technical field of industrial automation control, and discloses an industrial control configuration software system based on intelligent voice interaction, and the system comprises a voice recognition module which is based on a hybrid architecture of a deep neural network and a hidden Markov model and is used for receiving a voice signal of an operator and converting the voice signal into text data; and the natural language processing module is used for analyzing an operation command in the text data and extracting a device name, an operation instruction and related parameters through a bidirectional long-short-term memory network model. Through combination of augmented reality and virtual reality technologies, visual display and operation feedback of industrial equipment states are realized so as to enhance the perception capability of field operators on the equipment states, remote operators are allowed to perform remote fault diagnosis and operation simulation through VR, more intuitive and efficient operation support is provided, and the operation experience of the field operators is improved. The accuracy and decision-making efficiency of equipment operation are effectively improved, and the risk of misoperation is reduced.

The invention discloses an integrated offshore wind power jacket foundation grouting operation platform and a grouting operation method thereof. The operation platform comprises a main body frame with a horizontally arranged platform plate, and a through hole is formed in the center of the platform plate; a grouting raw material storage area, a grouting equipment placement area, a grouting preparation area and a grouting operation area are sequentially arranged at four edge positions in the circumferential direction of the platform plate; two cement-based grouting material storage boxes are fixed in the grouting raw material storage area; a grouting tool container, a generator set container and a diving tool container are fixed in the grouting equipment placement area; two grouting stirring tanks, two fresh water storage tanks and two grouting conveying pumps are fixed in the grouting preparation area, and a crane and a high-pressure flushing machine are arranged in the grouting operation area; according to the operation platform and the grouting operation method thereof, grouting operation can be started after the operation platform is pre-assembled at a wharf and is directly transported and installed at the top of the jacket, the construction difficulty is reduced, the cost is saved, and the construction efficiency and the operation safety are improved.

The invention discloses a multi-tenant, multi-project, multi-unit and multi-level management method and system based on cloud computing, and relates to the technical field of immigrant management of multiple tenants, and the method comprises the steps: building a cloud computing container platform basic environment; based on a multi-tenant data isolation scheme, rapid construction and deployment of application programs and running environments of tenants are realized by utilizing a container platform; designing a multi-tenant configuration process, and completing initialization of tenant basic data; constructing a hierarchical authorization management model based on role control, and determining user permission; the identities of the tenants are verified through a multi-tenant recognition scheme, and resource request access is completed according to the permission range. Through the method, users of different levels and units can cooperatively work on the unified immigrant management platform, the data sharing and organization cooperation efficiency is improved, and the data security is guaranteed. The application of the cloud computing technology realizes intelligent resource allocation and reduces the labor cost.

The invention discloses a rusted high-strength bolt connection pretightening force intelligent self-optimization prediction method and system, and belongs to the technical field of bolt pretightening force detection.The method specifically comprises the steps that a finite element database of bolt connection pretightening force loss is established, and a machine learning prediction model based on a neural network is trained; when the recognition accuracy of the machine learning prediction model reaches a preset value, pre-tightening force loss of the target bolt is monitored in real time, and real-time geometric feature information of connection of the target bolt is obtained; when the similarity between the real-time geometric feature information of the target bolt connection and a finite element model in the finite element database is greater than or equal to a preset value, calling the pre-tightening force loss of the existing finite element database; when the similarity is lower than a preset value, the trained machine learning prediction model is utilized to output actual bolt connection pre-tightening force loss in real time; the bolt looseness detection device realizes automatic and marker-free bolt looseness detection, is high in bolt image acquisition angle and distance tolerance, and can meet bolt looseness detection at different positions.

The invention relates to the technical field of functional fiber preparation, in particular to a polyurethane / carbon black / Cu composite conductive fiber and a preparation method and application thereof. The preparation method of the polyurethane / carbon black / Cu composite conductive fiber comprises the following steps: mixing flaky copper powder with a conductive fiber spinning solution of polyurethane and carbon black to obtain a polyurethane / carbon black / Cu composite conductive fiber spinning solution; wherein the flaky copper powder accounts for 2.5%-20% of the mass of the polyurethane / carbon black / Cu composite conductive fiber spinning solution; and carrying out wet spinning on the polyurethane / carbon black / Cu composite conductive fiber spinning solution to obtain the polyurethane / carbon black / Cu composite conductive fiber. According to the preparation method, the viscosity of the TPU / CB / Cu composite conductive fiber spinning solution is successfully reduced, the problems that a spinning needle head is blocked and spinning operation is complex are solved, and the conductivity of the TPU / CB / Cu composite conductive fiber is remarkably improved.

The invention discloses a method for controlling running of a networked vehicle at a non-signal-lamp intersection by considering an input constraint, which solves the challenge confronted when an automatic driving vehicle safely and cooperatively passes through the non-signal-lamp intersection under the input constraint, and comprises the following steps: obtaining real-time state information and roadside environment information of the vehicle; establishing a vehicle dynamics model considering input constraints; a geometric topological structure is developed to model the passing relation of vehicles, then the communication topology of information exchange between the vehicles is defined, and the problem of vehicle coordination at the intersection is converted into the problem of consistency of conflicting vehicles through state conversion; a distributed control method is designed, and the global consistency and stability of the vehicle cooperative control system are ensured; and finally, a time-based triggering mechanism is provided, so that the vehicle passing efficiency and the driving safety are improved, and the operation load of the system is reduced.

The invention discloses a method for efficiently generating high-brightness gamma radiation, and belongs to the technical field of radiation. A relativistic electron beam is injected into the porous microstructure foam target material, and high-brightness gamma ray radiation is generated. According to the method, the used device is simple, only the single relativistic electron beam and the porous microstructure foam target material are needed to interact, compared with a traditional uniform-density solid material, the energy conversion efficiency in the interaction process of the electron beam and a substance can be remarkably improved, and the energy conversion efficiency can be remarkably improved through the effective constraint effect of a high-intensity magnetic field. And the problems of low energy conversion rate, low light source brightness, poor radiation directivity, complex device or difficulty in experiment implementation and the like of the existing high-energy gamma ray radiation source are solved.

The invention relates to the technical field of tunnel deformation monitoring, in particular to a tunnel primary support surrounding rock deformation monitoring system and method, and the method comprises the steps: data collection, data transmission, data preprocessing, model training and verification, real-time analysis, feature extraction and early warning and response. Data acquisition equipment and an edge server are installed and deployed on the inner side wall of tunnel primary support surrounding rock, the data acquisition equipment acquires original data, it is ensured that data coverage is comprehensive and not excessive redundancy exists, the original data are timely transmitted to the edge server in a wireless mode of the low-delay Internet of Things, the data transmission process is combined with an MQTT protocol, and the data transmission efficiency is improved. The method comprises the following steps: preprocessing data, selecting a trained convolutional neural network model CNN, carrying out online analysis on the data transmitted in real time, predicting the deformation trend of the tunnel primary support surrounding rock, and immediately sending an early warning to a monitoring and early warning module when the deformation trend exceeds a set deformation threshold value, so that the system can monitor the deformation of the tunnel primary support surrounding rock in real time and ensure the accuracy and reliability of the data.

The invention relates to a method and device for determining a clamped target and a monocular endoscope system. The method comprises the following steps: acquiring each video frame to be identified; segmenting each to-be-identified video frame according to a preset first size to obtain each image block; determining a first horizontal offset between image blocks at the same position in each adjacent to-be-identified video frame by using an optical flow method; using a monocular depth estimation method to determine a first depth offset between the image blocks at the same position in the adjacent video frames to be identified; and determining the clamped target from the candidate targets in the to-be-identified video frames based on the first horizontal offset and the first depth offset between the image blocks located at the same position in the adjacent to-be-identified video frames. By adopting the method, the problem that the complexity and the cost of equipment are increased by the existing method for determining the clamped target can be solved.

The multi-coil multi-working-mode magnetorheological damper with the flowing mode comprises a cylinder body, a piston assembly and a magnetorheological device, the piston assembly comprises a piston rod and a sliding piston arranged on the piston rod, the sliding piston is arranged in the cylinder body in a sliding fit mode, and the magnetorheological device comprises a magnetorheological valve middle body. At least one magnetorheological valve left body is arranged on the left side of the magnetorheological valve middle body, at least one magnetorheological valve right body is arranged on the right side of the magnetorheological valve middle body, and an electromagnetic coil is arranged on the magnetorheological device; a first damping channel and a second damping channel are formed in the positions, on the left side and the right side of the sliding piston, of the cylinder body, and a third damping channel is formed in the magnetorheological device. Different magneto-rheological effects are generated through matching of different electrifying modes of the multistage electromagnetic coils, the damping effect under various working conditions is achieved, various requirements are met by changing whether all stages of electromagnetic coils are electrified or not, the working application range of the magneto-rheological valve is greatly widened, and meanwhile the machining and manufacturing cost is reduced.

The invention relates to the technical field of vibration test data processing and analysis systems, in particular to a multi-sensor fusion vibration test data processing and analysis system and method. A vibration data preprocessing unit; the vibration data fusion unit is connected with the vibration data preprocessing unit and is used for displaying the vibration data corresponding to different measurement quantities, measurement conditions and data acquisition lengths in the same oscillogram in different colors and performing time alignment according to a set time window; a signal analysis and feature extraction unit; and the signal analysis information display unit is connected with the signal analysis and feature extraction unit and used for completing vibration time domain analysis, frequency domain analysis, time domain and frequency domain waveform switching and a time-frequency diagram function, and the accuracy and reliability of fault recognition are remarkably improved by combining multi-sensor data and an advanced feature extraction algorithm. The system not only can automatically detect and alarm abnormal vibration, but also can provide detailed fault positioning information.

The invention relates to a digital array antenna and digital circuit synchronization method, device, equipment and medium, and the digital array antenna and digital circuit synchronization method comprises the steps: carrying out the module preprocessing of a master module and a slave module, and the module preprocessing comprises the configuration of FPGA codes for the master module and the slave module and the initialization of a radio frequency transceiver; the master module triggers a module handshake request to the slave module, and obtains a signal receiving state of the slave module according to the module handshake request; the master module sends a synchronous trigger signal, a synchronous pulse generator is triggered to generate a synchronous pulse signal, and the master module and all the slave modules perform radio frequency transceiver local oscillator phase synchronization through a clock signal and a first pulse of the synchronous pulse signal; and the master module and all the slave modules perform sampling clock synchronization, digital clock synchronization and interface synchronization of the A / D converter and the D / A converter through the clock signal and the second pulse of the synchronization pulse signal to complete synchronization. According to the invention, the digital array antenna and the digital circuit can be synchronized.

The invention belongs to the technical field of information recommendation, and particularly relates to an intelligent image recognition and commodity classification system. Comprising an image acquisition module, an image processing and feature extraction module, a deep learning model training module, a commodity classification and identification module, a user interface module, a database module, a system integration and deployment module, an update and maintenance module and a security module. The invention provides an intelligent image recognition and commodity classification system, and a multi-layer perceptron is adopted as a feature representation unit in the intelligent image recognition and commodity classification system, so that the system can capture a more complex nonlinear relationship in an image. Therefore, abstract features in the image can be better expressed, and the recognition capability of the system on complex modes is improved.

The invention discloses an unmanned aerial vehicle model prediction control method, system and device based on Actor-Critic and an artificial potential field, and a medium. A network of multiple static multi-obstacle environments and dynamic multi-obstacle environments, a kinetic model of a four-rotor unmanned aerial vehicle, an award value based on the artificial potential field, and an unmanned aerial vehicle model prediction control algorithm based on Actor-Critic and the artificial potential field is constructed in sequence; training an algorithm model according to the set network parameters, and selecting an optimal weight file; inputting the optimal weight file and a network of an unmanned aerial vehicle model prediction control algorithm based on Actor-Critic and an artificial potential field into a plurality of static multi-obstacle environments and dynamic multi-obstacle environments for testing; obtaining an unmanned aerial vehicle flight path diagram, a reward value r, a path length L, a path maximum torsion degree LS, a path global torsion degree GS, and an index result of whether collision occurs or not and threat; the system, the equipment and the medium are used for implementing the method. The method can effectively plan the path and timely avoid the obstacle, and has the advantages of high real-time performance, strong robustness, timely obstacle avoidance and the like.

The invention discloses an integrated system and method for flow channel leakage detection and flow resistance detection in a liquid cooling shell. The integrated system comprises a waterway system. The waterway system comprises a pressure test pump, a first electric ball valve, a first flow sensor, a differential pressure sensing module, a second electric ball valve and a water tank which are connected in sequence; the multi-stage centrifugal pump is connected with the pressure test pump in parallel; two ends of the first electric ball valve and the first flow sensor are connected in parallel with a third electric ball valve and a second flow sensor; the third electric ball valve is connected in series with the second flow sensor; two ends of the differential pressure sensing module are connected with a liquid cooling shell part to be detected; the differential pressure sensing module comprises a differential pressure sensor group. According to the invention, an automatic detection mode is adopted, and pressure and flow resistance detection of the flow channel in the shell part is automatically carried out by comprehensively using the pressure difference sensor, the pressure sensor, the flow sensor and the like, so that the limitation and complexity of manual detection are solved, meanwhile, the traceability of data is realized, and the detection scheme is efficient and reliable.

The invention discloses a flexible interconnected power distribution network fault recovery method and system considering important load ports. The method comprises the following steps: obtaining interconnection device recovery characteristics of a target flexible interconnected power distribution network in different control modes; establishing a post-disaster fault recovery optimization model of the flexible interconnected power distribution network considering the recovery characteristics of the interconnection device of the target flexible interconnected power distribution network in different control modes; solving the post-disaster fault recovery optimization model of the flexible interconnected power distribution network in combination with a second-order cone to obtain a solved post-disaster fault recovery optimization model of the flexible interconnected power distribution network; and according to the solved post-disaster fault recovery optimization model of the flexible interconnected power distribution network, performing fault recovery of the flexible interconnected power distribution network. According to the method, the problems of nonlinearity and complexity in the optimization model are effectively solved, so that the solving process is more efficient and accurate, and a high-quality fault recovery scheme can be quickly generated.

The invention discloses a stair lamp circuit and a stair lamp, and relates to the technical field of stair lamps. The stair lamp circuit comprises a plurality of lamp control circuits, a remote control circuit and a coding circuit. The lamp control circuits can detect human body information of the surrounding environment where the lamp control circuits are located, when it is determined that human bodies exist in the surrounding environment, the corresponding lighting assemblies are controlled to be turned on, and human body induction information with code sequence number information is sent to the remaining lamp control circuits, so that the multiple lighting assemblies are turned on sequentially according to preset parameters. Wherein the preset parameters of lighting comprise sequential lighting speed and lighting delay time. A user can adjust the sequential lighting speed and the lighting prolonging time through the remote control circuit so as to adapt to different use requirements, and can also adjust the coding sequence number of the lamp control circuit through the coding circuit, for example, when a certain lamp control circuit is damaged or replaced, coding and sorting are carried out again. The stair lamp aims at solving the problems that in an existing stair lamp, wiring is complex, and mistakes are likely to be made when the lamps are turned on in sequence.

The invention relates to the technical field of passenger flow distribution, in particular to a quasi-dynamic random user balanced distribution method, electronic equipment and a storage medium, and the method comprises the steps: firstly obtaining a line physical network of urban rail transit, then building a travel transfer network based on the line physical network, and then building a travel transfer network based on the travel transfer network; and constructing a quasi-dynamic random user balanced distribution model, and then solving the quasi-dynamic random user balanced distribution model according to the line physical network to obtain a target passenger flow distribution result. By solving the quasi-dynamic random user equilibrium distribution model, the target passenger flow distribution result of the line interval in each time period can be quickly obtained, so that the problem of complexity in dynamic passenger flow distribution of urban rail transit is effectively solved, and the overall operation efficiency and passenger satisfaction of a traffic system are improved.