514 results about "Railway line" patented technology

The present invention provides an automatic intelligent inspection system for the equipment, facilities and surrounding environment along a railway line, including an unmanned aerial vehicle (UAV), a movable ground base station, a remote server and a working computer, wherein the working computer includes an image processing module that is configured to detect an obtained image by using a deep learning network model trained with a database in advance, obtain any object that is suspected to involve a defect by analysis, and transmit the object for manual review while calculating for the specific geographic coordinate information of the defect, report for early warning after the defect is confirmed by the manual review, inform the operation and maintenance personnel, and store and record the defect. The present invention further provides a method for inspection by using the automatic intelligent inspection system for the equipment, facilities and surrounding environment along a railway.

A cable trough for installing cables alongside a railway line or other right of way is described. The cable trough is constructed using longitudinally oriented reinforcing fibers coated with polymeric resin that generally aligns the reinforcing fibers with the length of the cable trough. One or more connector clips may be used to secure respective portions of the cable trough to one another. The cable trough is provided with a cover that may be removably secured to an elongate channel to protect the cables housed within the cable trough. Elbows, corners, tees, and other connectors may be provided to run the cable trough in any desired direction. A method of installing cables in a cable trough is also described.

The invention provides a railway line monitoring alarm method and system, and relates to the technical field of computers, and the method comprises the steps: continuously collecting a dynamic monitoring data set comprising a track structure vibration waveform sequence, a track surface optical image sequence and an environment meteorological parameter sequence through a plurality of sensor nodes of a target railway line; carrying out multi-modal feature fusion processing on the dynamic monitoring data set, generating a comprehensive state evaluation matrix containing a vibration energy distribution vector and the like, carrying out risk alarm grade classification on the comprehensive state evaluation matrix by utilizing a preset track safety evaluation model, and outputting an abnormal event type code and an abnormal region position code; then, a multi-stage linkage control instruction set containing a train emergency braking triggering instruction and the like is generated based on the multi-stage linkage control instruction set, the multi-stage linkage control instruction set is synchronously transmitted to a central dispatching system, the central dispatching system is driven to execute rail blocking, train speed regulation and control and equipment maintenance operation according to instruction priorities, and comprehensive and intelligent monitoring and efficient alarm response to railway lines are achieved.

The invention provides a railway anomaly monitoring method and system based on unmanned aerial vehicle routing inspection, and relates to the field of data processing, the method comprises the following steps: obtaining railway routing inspection data collected by an unmanned aerial vehicle, extracting a monitoring instruction in the railway routing inspection data, carrying out parameter analysis on the monitoring instruction, and obtaining an anomaly monitoring parameter set corresponding to the monitoring instruction; performing spatio-temporal feature extraction processing on the plurality of spatio-temporal frame sequences, generating a spatial feature vector and a time feature vector of each spatio-temporal frame sequence, screening out at least one abnormal region from the plurality of spatio-temporal frame sequences based on a dynamic matching relationship between the abnormal monitoring parameter set and the spatial feature vector and the time feature vector, and performing abnormal region extraction processing on the abnormal region. And calling an anomaly identification model to perform conjoint analysis on the spatial-temporal characteristics of the abnormal region, generating a railway anomaly monitoring result, and mapping the railway anomaly monitoring result to a physical coordinate system of the railway line to generate an anomaly positioning report. According to the invention, the accuracy and intelligent decision of railway inspection anomaly detection can be improved.

The invention provides a multi-source data fusion-based high-wind disaster risk assessment method along a high-speed rail, and the method comprises the steps: obtaining the meteorological temperature distribution, the wind speed peak record, the rainfall cumulative value and the wind direction angle change of a meteorological station, carrying out the format conversion and time-space alignment of multi-source data through a preset standardization protocol, and obtaining a multi-source data format; generating a first data set with a unified spatial-temporal scale; acquiring a corresponding wind speed peak record, wind direction angle change and disaster loss degree through a similar case set in the third data set, calculating a first risk probability under the current condition by adopting a weighted average method based on historical cases, and generating a first risk value; updating a line state factor in the fourth data set through a fused probability value in a risk assessment result, adjusting a weight parameter of a wind direction matching coefficient by adopting an online learning method, and generating an optimized fifth data set; according to the continuous dynamic risk assessment sequence, the operation strategy of the high-speed rail line is adjusted in real time, and line safety is ensured.

The invention discloses an interval occupation logic checking method, a train control system, a storage medium and electronic equipment, which are used for automatically blocking a standard railway line, and the method comprises the following steps: acquiring train position information and a train type; acquiring track circuit data, and judging a track section state; and generating a corresponding signal permission for the train based on the train position information, the train type and the track section state, and judging the logic state of the corresponding block partition based on the signal permission. The method has the advantages that the normal train, the fault train and the non-moving block train can be ensured to safely run on the automatic block system railway line at the same time, the normal train can still adopt the moving block system and does not need to be degraded into the automatic block system, the running density of the normal train is improved, and the running efficiency is improved. Therefore, the traffic capacity of the automatic block type railway line is improved.

The invention provides a method and device for calculating the trafficability of a line under the operation of a heavy haul railway train group, and relates to the technical field of train group analysis, and the method comprises the steps: calculating an interval time parameter under the operation of the train group; drawing a train interval working diagram; constructing a single-line working diagram cycle model based on the train interval working diagram and the interval time parameters; constructing a train group tracking model of the double-track heavy haul railway under train group operation based on the interval time parameters; linearizing and then solving the single-line working diagram cycle model to obtain a minimum limit interval working diagram cycle, and calculating the trafficability of the single-line heavy haul railway line under the operation of the train group based on the minimum limit interval working diagram cycle; and according to the train group tracking model, calculating the trafficability of the double-track heavy haul railway at different stages under the train group operation. The method solves the problem that in an existing line trafficability calculation method, the particularity of a group operation organization method is not considered, and the method is not suitable for capacity calculation under group operation.

The invention provides a railway flexible traction system based on multi-source fusion. The system is composed of a central control unit, a V / v traction transformer unit and a multi-port flexible interconnection unit. The V / v traction transformer unit comprises a first power supply arm, a second power supply arm and a third power supply arm, the input ends of the V / v traction transformer unit are connected with a public power grid, the first and second power supply arms are connected to the multi-port flexible interconnection unit, and the third power supply arm provides passive support for a traction network. The multi-port flexible interconnection unit comprises a two-phase rectification module, a photovoltaic power generation module, an energy storage module and a single-phase inversion module which are commonly connected to a DC bus. The central control unit adjusts the output power of the multi-port flexible interconnection system and the control strategy of the single-phase inversion module in real time so as to realize flexible consumption of new energy and improvement of power supply stability. The system has the advantages of compatibility, cost effectiveness, new energy access and consumption, power supply reliability improvement, electric energy quality optimization, high adaptability and the like, and is suitable for upgrading and reconstruction of newly-built railway lines and existing railway lines.

The invention relates to the technical field of railway line selection design, in particular to a railway line searching method, medium and equipment in a wide and dense obstacle environment. The method comprises the following steps: acquiring obstacles passed by a line and determining preferentially treated obstacles; and inserting an optimal line intersection point around the obstacle, adjusting the line scheme and repeating the point insertion operation until the spatial relationship requirement of the line and the obstacle is met, and finally generating a global optimal line conforming to the constraint. According to the method, through a priority obstacle handling strategy and a dynamic point insertion mechanism, key obstacles are intelligently recognized, intersection points are preferentially generated around the obstacles, the problem of circuit bypassing redundancy or repeated adjustment caused by an improper obstacle handling sequence in a traditional method is avoided, and the efficiency and quality of circuit scheme design in a complex environment are remarkably improved. Through point-by-point insertion type iterative search, it is ensured that each adjustment approaches to the global optimum direction, and compared with a traditional trial and error method, the calculation time consumption is reduced, and meanwhile local optimum is avoided.

The invention relates to the technical field of satellite positioning, in particular to a railway line deformation monitoring method based on the Beidou satellite positioning technology, and the method comprises the steps: obtaining a vertical monitoring value of any monitoring station along a railway line in each monitoring result through the Beidou satellite positioning technology, and obtaining the temperature data of a mortar layer; based on each vertical monitoring value and the change condition and the trend-removed fluctuation condition of a plurality of vertical monitoring values adjacent to the vertical monitoring value in time, respectively determining a settlement trend characteristic value and an abnormal fluctuation characteristic value of each vertical monitoring value; determining a settlement characteristic value of each vertical monitoring value; determining a deformation characteristic value of each settlement characteristic value by combining each settlement characteristic value and the dispersion degree and the average level of a plurality of settlement characteristic values which are adjacent in time; and obtaining a deformation monitoring result of the railway at any monitoring station by using a neural network. The invention aims to improve the accuracy of monitoring the deformation along the railway.

The invention discloses a dust suppression method and system for railway track dry bulk cargo loading. The method comprises the steps that if it is detected that loading operation is started on an iron road trunk line, an area to be subjected to dust suppression is determined based on loading operation field data; acquiring environment information corresponding to the region to be subjected to dust suppression, wherein the environment information comprises wind direction information; determining a to-be-loaded article based on the loading field operation data, and determining the moisture content corresponding to the to-be-loaded article; and a control strategy corresponding to the spraying system is determined based on the wind direction information, the water content and the area corresponding to the area to be subjected to dust suppression, and operation parameters corresponding to the spraying system are adjusted based on the control strategy so as to perform dust suppression treatment on the loading operation process. According to the invention, accurate treatment of railway track loading flying dust pollution is realized, limitation of traditional fixed dust suppression is broken through, and pollution prevention and control efficiency and resource utilization efficiency are remarkably improved.

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 discloses an MABR-based railway domestic sewage treatment system and a use method thereof, and relates to the technical field of sewage treatment, the MABR-based railway domestic sewage treatment system mainly comprises a water inlet unit, an anaerobic zone, an anoxic MABR zone, a transition MABR zone, an aerobic MABR filler zone, a sedimentation tank, a filter unit and a clear water output unit which are connected in sequence, and also comprises a sludge external reflux system and a gas supply system; according to the present invention, the respective advantages of the MABR technology and the water treatment filler are fully utilized, the simultaneous nitrification and denitrification are performed to efficiently remove the pollutants, the denitrification is well achieved by using the transition MABR region, and the pollutants are further removed by using the filtration unit, such that the domestic sewage treatment problem of the staff along the railway line is effectively solved, and the high efficiency, the stability and the sustainability of the sewage treatment are achieved. The method has the advantages of high pollutant removal efficiency, no internal reflux of mixed liquid, reduction of sludge yield, energy conservation, carbon reduction, easiness in operation and the like.

The invention relates to the technical field of path planning, and provides a railway line selection method based on artificial intelligence. According to the method, a dynamic bidirectional A algorithm and a distributed Bellman trajectory optimization algorithm are fused, and efficient generation and intelligent optimization of a railway line path are realized; the method comprises the following steps: firstly, constructing a path comprehensive cost map based on multi-source spatial data, and generating a path set with diversity and globality by utilizing a dynamic bidirectional A algorithm through a bidirectional synchronous propulsion and multi-disturbance strategy; then, in combination with a distributed Bellman trajectory optimization algorithm, the rationality and risk control capability of the path structure are further improved; by means of the technical path, the defects of an existing railway line selection method in the aspects of path diversity control, trajectory optimization modeling and multi-source data fusion and utilization are effectively overcome, and the intelligent level and the global optimal performance of railway path planning are remarkably improved.

The invention discloses a ballastless track plane linear reconstruction method and system under the condition of large foundation deformation, and the method comprises the steps: judging whether a railway line is staggered on a long straight line or a curve, and determining a linear reconstruction mode; determining the intersection position of the railway line and the fault zone, establishing a rectangular plane coordinate system, and collecting basic data of the line; fitting and reconstructing straight line edges on two sides of the line damage center and a clamping straight line between the two straight line edges, and determining a slope range and a change step length of the clamping straight line; determining an optimization variable, a constraint condition, a target function and a fitness function, and searching an optimal plane line shape reconstruction scheme under each linear slope value by adopting a genetic algorithm and a local search algorithm; and summarizing and comparing the fitness values of the optimal plane line shape reconstruction schemes under each straight line clamping slope value, and selecting the scheme with the maximum fitness value. According to the method, the damage form of the large deformation of the railway foundation to the plane line shape of the ballastless track is analyzed, and reference is provided for post-disaster repair of the ballastless track.

The invention discloses a maintenance and operation fault dynamic early warning system based on a high-speed railway communication network, and relates to the technical field of high-speed railway communication networks. The invention aims to solve the problems of inaccurate fault early warning, slow response speed and the like in the prior art. The system realizes real-time monitoring and intelligent analysis of a railway line through three-level elastic section classification, four layers of intelligent processing modules and a cross-domain cooperation module. The monitoring intensity is dynamically defined according to the annual average failure rate in the third-level elastic section classification; the four-layer intelligent processing module has the functions of multi-module sensing, edge calculation, digital twinning, decision control and the like; and the cross-domain collaboration module ensures the overall efficiency of the system. According to the invention, the accuracy and timeliness of fault early warning are improved, the maintenance cost is reduced, and a powerful guarantee is provided for safe operation of the high-speed railway. In the future, the system is continuously optimized, more application scenes are explored, and the system performance and the user experience are improved.

The invention discloses a thunder-vision fusion multi-sensor collaborative sensing system along a railway and an installation and calibration method, and belongs to the technical field of intelligent traffic and environment sensing. Aiming at the problems of low target detection precision, poor multi-source data fusion timeliness, dependence on manpower on sensor installation and calibration and the like in a complex scene along a railway, the system provides an innovative architecture of'layered sensing-dynamic fusion-autonomous calibration '. The multi-modal sensor array of a laser radar, a millimeter-wave radar, a visible light camera and a thermal infrared imager is deployed; autonomous optimization of sensor pose parameters is realized by using track geometric constraint and a deep learning model; an edge computing node and a cloud collaboration platform are integrated, and real-time target tracking, intrusion early warning and equipment state diagnosis are supported. Experiments show that the target detection accuracy rate of the system is greater than or equal to 98.5%, the false alarm rate is less than or equal to 0.3% and the self-calibration error of sensor installation parameters is less than 0.05 degree in the scenes of rain and fog, night, high-speed movement and the like, which are improved by more than 40% compared with the traditional scheme.

The invention discloses a railway signal equipment station level reliability analysis method, which belongs to the technical field of railway signal system operation and maintenance, and comprises the following steps of: calculating to obtain annual average temperature data and annual average humidity data of a region where a railway line is located; constructing an action coefficient of the environment on railway signal equipment degradation; constructing a degradation process model of the railway signal equipment; calculating to obtain a reliability value of the railway signal equipment; establishing a topological structure of the railway signal equipment system according to the railway signal station layout diagram and the interlocking table; equidistant discretization based on time scale is carried out on the reliability state of the railway signal equipment, and a station level reliability model of the railway signal equipment is constructed; and representing the station-level reliability of the railway signal equipment by using an indicative function, and calculating to obtain a station-level reliability value of the railway signal equipment. According to the invention, the problem that the equipment-level and station-level reliability evaluation of the outdoor railway signal equipment is difficult to carry out in a complex operation environment on a railway site is solved.

The present invention relates to a handling system (1) for support components (ST) for engaging a rail of a railway line; the handling system (1) comprises a frame (11) extending along a longitudinal trajectory (T1), which has a first and a second zone (Z1, Z2). The handling system comprises: a guide (12) extending along the longitudinal trajectory (T1), a first and a second carriage (13, 14) movable along the guide (12).

The invention discloses a shared lock catch steel pipe pile cofferdam close to a bridge bearing platform under a high-speed railway line and a construction method, and the shared lock catch steel pipe pile cofferdam close to the bridge bearing platform under the high-speed railway line comprises a first lock catch steel pipe pile, a second lock catch steel pipe pile, a third lock catch steel pipe pile and a fourth lock catch steel pipe pile, the third lock catch steel pipe pile and the fourth lock catch steel pipe pile are connected with the first lock catch steel pipe pile and the second lock catch steel pipe pile. The lock catch steel pipe pile cofferdam is adopted to replace a double-wall steel cofferdam, the problems that the clear distance close to a bridge bearing platform is too small, and no space exists for independently arranging an overwater steel cofferdam are solved, and under the condition that two projects are both control projects and need to be constructed synchronously, a row of shared lock catch steel pipe piles are inserted in the middle to be used in the construction stage of the two bridge bearing platforms at the same time; an independent and separated cofferdam stress system is formed, the condition of synchronous construction of the two newly-built bridges is guaranteed, the using number of the steel pipe pile cofferdams is reduced, and material consumption is reduced.

The invention provides a method for erecting a steel box girder crossing a high-speed railway line, and relates to the technical field of steel box girder erection. The method comprises the steps that two concrete box girders are poured on the front side and the rear side of an original high-speed rail line respectively, and carrying trolleys are installed on the concrete box girders; the assembled steel box girder is temporarily fixed between a front guide girder and a rear guide girder on the concrete box girder on the rear side, and the steel box girder and the rear guide girder are borne by a carrying trolley; and the carrying trolley is used for driving the steel box girder, the front guide girder and the rear guide girder which are temporarily fixed together to move towards the concrete box girder on the front side until the steel box girder is completely located above the vacancy between the two concrete box girders, and girder falling installation is conducted. The number of the walking type jacks can be reduced so as to save the erection cost of the steel box girder crossing a high-speed railway line, and the time for changing the carrying position can be shortened through rapid movement of the carrying trolley, so that the changing efficiency of the carrying position is improved, and then the erection efficiency of the steel box girder is improved.

The invention relates to a geoid-like model processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: dividing an area along a railway into a plurality of elevation reference areas according to terrain information and railway information of the area along the railway; according to the gravity data of each elevation reference region, obtaining elevation abnormal data of each elevation reference region; based on the elevation abnormal data of each elevation reference region, performing whole-line modeling processing on each elevation reference region to obtain a whole-line quasi-geoid model of the region along the railway; carrying out zoning modeling processing or zoning modeling processing on each elevation reference region on the basis of a full-line geoid-like model to obtain a target geoid-like model of each elevation reference region; the model precision of the target geoid-like model is higher than that of the full-line geoid-like model. By adopting the method, the model precision of the target geoid model of the region along the railway can be improved.

The invention provides an AI-based unmanned aerial vehicle railway inspection system and platform and an unmanned aerial vehicle thereof. The system comprises the unmanned aerial vehicle, a nest and an intelligent inspection platform, the unmanned aerial vehicle consists of an electric helicopter and a photoelectric pod and is used for completing an automatic inspection flight task of a railway line; the nest is used for parking and storing the unmanned aerial vehicle, providing a take-off and landing platform for the flight of the unmanned aerial vehicle and meanwhile supporting the assignment of take-off and landing tasks in different places; the intelligent inspection platform is in communication connection with the unmanned aerial vehicle, comprises a flight management module, a flight record management module, an inspection result AI recognition module, a defect auditing module, a defect management module, a statistical analysis module, a basic data management module and a system management module, and is used for managing flight tasks, inspection result AI recognition and related data of the unmanned aerial vehicle. The railway inspection defect identification efficiency and accuracy are improved through the AI technology, the intelligent and efficient railway inspection is realized in combination with a perfect management function, and the railway operation safety is guaranteed.

The invention provides an unmanned aerial vehicle railway foreign matter invasion open detection method based on risk grading. According to the method, the risk level is determined according to the transverse distance between an invading foreign matter and a track core area, smoothing processing is carried out on a track area segmentation mask through a boundary-limited MCP method, and parameter-configurable unmanned aerial vehicle railway image multi-level risk area division is achieved. The invention further provides a railway foreign matter intrusion detection method architecture FOCS-MID under the open-closed set fusion condition, on the basis of intrusion detection of conventional foreign matters under the closed set condition, secondary detection under open set setting is carried out on conventional and unconventional foreign matters at the same time, and the risk perception capability of railway line foreign matters is comprehensively improved.

The invention discloses railway train dispatching four-wire access equipment and an implementation method. The device comprises a first network transformer, a second network transformer, an audio coding and decoding chip, a modular connector, a PHY chip and a processor chip. The equipment is connected with a plurality of 450M analog train dispatching station radio stations through four-wire interfaces, and is connected with a digital train dispatching communication system central server through an Ethernet interface, so that the traditional 450M analog train dispatching station radio stations can be accessed to a digital train dispatching communication system, and dispatching communication and network management monitoring of the digital train dispatching system and the 450M analog train dispatching station radio stations are realized; a technical means is provided for upgrading transition compatibility of a railway wireless train dispatching system, and the method has important significance for guaranteeing railway train operation safety and improving transportation operation efficiency.

The invention discloses a railway line selection effect evaluation method and system based on artificial intelligence, and belongs to the technical field of railway intelligent line selection, and the method comprises the steps of data preparation, toughness feature extraction, climate toughness scoring and multi-dimensional effect evaluation. According to the method, line climate toughness feature extraction based on multi-source space-time toughness is adopted, line structure features, environmental conditions and climate disturbance are comprehensively analyzed, and the stability and adaptability of different line sections under different space-time scales are quantified, so that the overall toughness level of the line can be reflected more accurately; climate toughness scoring combining multiple disaster risks and dynamic correction is adopted, multiple disaster types and interaction influences thereof can be comprehensively considered in the line selection process, key fragile sections and potential risk points are identified through dynamic correction, and therefore a scientific basis is provided for line scheme comparison and optimization.

The invention discloses a railway construction simulation model generation method based on full-line design parameters, and relates to the technical field of model simulation. Line track geometric parameters, geological exploration data, bridge and tunnel structure parameters, construction mechanical performance indexes and environment constraint conditions are collected, a multi-source heterogeneous database is constructed, and a simulation model is generated; the method comprises the following steps: constructing full-line design parameters after space coordinate unification and data cleaning, establishing a space-time dependency relationship of construction elements based on a railway line segmentation topological structure, generating an initial construction logic network, and optimizing the construction logic network according to construction efficiency, a resource scheduling rule and a dynamic constraint condition, so as to obtain a construction result; parallel construction events in the railway construction process are defined, full-line design parameters and a construction logic network are mapped into a three-dimensional visual simulation model of railway construction through a parametric modeling engine, real-time railway construction data are introduced, the construction delay probability of railway construction is predicted, and the construction delay probability of railway construction is calculated. And determining whether to carry out construction process adjustment and construction resource redistribution.

The invention discloses a rapid reinforcing device for a steel pipe pile close to a railway line slope, which comprises a vertical transmission rail mounted on a working vehicle, a walking mechanism capable of walking along the vertical direction is mounted on the vertical transmission rail, and the walking mechanism is connected with an assembly seat through a transverse telescopic arm; a slurry distribution mechanism, a drilling position adjusting mechanism and a drilling transmission mechanism are sequentially arranged on the assembling base downwards in the vertical direction, a driving mechanism is installed between the assembling base and the drilling transmission mechanism, the drilling transmission mechanism is provided with a plurality of output units, a clamping ring cutting mechanism is installed on each output unit, and the upper end of a steel pipe pile is clamped in the clamping ring cutting mechanism. According to the method, the soil body around the side slope close to the railway line can be integrally reinforced, the overall stability of the side slope is effectively improved, the preparation conditions of a construction site can be greatly reduced, the occupied road surface is reduced, the influence of construction on the surrounding environment is reduced, and the reinforcing efficiency is improved. The method is suitable for reinforcing the side slope of the road with the gravel-cobble soil filled roadbed.

The invention is suitable for the field of railway foundation management, and provides a railway foundation settlement management early warning method and system, and the method comprises the steps: installing a vehicle-mounted displacement sensor at a target position of a driving vehicle; continuously distributed optical fiber sensing monitor groups and temperature sensors are deployed in the railway line; establishing a space-time synchronous calibration model of the vehicle-mounted displacement sensor and the optical fiber sensing network, performing fusion processing on vehicle body longitudinal displacement data acquired in real time and optical fiber strain data of a corresponding mileage segment, and calculating the longitudinal change degree of a foundation in a monitoring interval; setting a multi-level threshold triggering and rechecking strategy; multi-source data are fused, and a stepped intelligent early warning notification is generated and sent based on a multi-level threshold triggering and rechecking strategy; according to the method, a train-line-foundation three-in-one intelligent monitoring system is constructed, and the temporal-spatial resolution and accuracy of railway foundation settlement monitoring are remarkably improved. A multi-level threshold and recheck mechanism reduces the false alarm and missing alarm rate, and stepped early warning realizes risk hierarchical management and control.

The invention relates to a subway track line intelligent optimization method based on a hierarchical archiving differential evolution algorithm. The method comprises the following steps: obtaining an actual topographic change curve through topographic relief characteristics of a railway line design plane so as to construct a standardized coordinate axis model; obtaining a terrain height change sequence by discretizing the terrain height change of the coordinate axis model; determining technical limitation conditions of the rail according to a railway line design specification; selecting a construction type according to a construction rule and terrain information; calculating to obtain the total construction cost; according to the terrain height change sequence and the technical limitation condition of the rail, establishing a Ground object and preprocessing the Ground object; and an HAPI-DE algorithm model is established, and the Ground object is sent into the algorithm model to be evolved so as to obtain an optimal solution railway route and the lowest cost. According to the method, the optimal railway longitudinal section design scheme which is lower in cost, more accurate and more reliable can be obtained.