100 results about "Border crossing" patented technology

The invention relates to the technical field of road safety, in particular to a road construction safety self-adaptive warning broadcast system and method, and the method comprises the steps: collecting environment parameters of a construction region in real time; detecting dynamic traffic parameters of vehicles around the construction area; tracking a real-time position and a movement track of the construction machinery, and monitoring a safe area border crossing behavior of a constructor; predicting a dynamic risk level in the construction area based on the environmental parameters, the dynamic traffic parameters, the construction machinery motion trail and the personnel border crossing state, and generating a grading response strategy; and outputting a self-adaptive warning signal according to the grading response strategy. According to the method, the problems that a traditional early warning model depends on one-dimensional parameters, the static threshold misjudgment rate is high and the response delay is large are effectively solved, and accurate quantification and real-time early warning of the construction machinery and vehicle conflict risk are achieved through multi-source data fusion and dynamic probability calculation.

The invention discloses a firmware-level security protection system and method for a hard disk of industrial automation equipment, particularly relates to the technical field of storage security protection, and is used for solving the problem of abnormal tampering of firmware. According to the method, instruction calling, interface access and interrupt timestamps are collected in a sliding window, a behavior sequence set containing an instruction sequence, calling frequency and sensitive marks is constructed and compared with a reference sequence library, firmware-level judgment on operation abnormity, access border crossing and tampering risks is triggered based on a transfer relation and an offset index, and the operation safety is improved. The method comprises the following steps of: dividing firmware into a control domain, a data domain and a configuration domain, realizing minimum permission and dynamic isolation by relying on state and permission mapping and permission register and interface shielding, forming a flow from detection to isolation to closed loop recovery by combining protected segment integrity verification and local copy hot switching, writing an exception into a protected loop log area for threshold updating, and performing protection on the protected loop log area. And the tamper-proof performance, the operation safety and the maintainability of the firmware are integrally improved.

The invention relates to the technical field of power distribution network power supply, and discloses a power distribution network power supply system based on time domain control, comprising a unified time service synchronization module used for establishing a unified time service link and keeping node time synchronization; the time domain acquisition and judgment module is used for acquiring a zero-crossover timestamp and voltage and current samples and determining candidate target moments and execution modes; the instruction generation and calculation module is used for calculating a zero-crossing time difference and an instantaneous voltage difference and generating a time domain action instruction set; the starting advance locking module is used for determining and locking starting advance; the instruction rechecking judgment module is used for rechecking the effectiveness of the instruction set; the action execution checking module is used for completing loop closing or loop opening at a candidate target moment and judging a border crossing state; and the time difference updating and correcting module is used for calculating a time deviation value and updating control parameters. According to the invention, high-precision time synchronization, dynamic self-calibration and action safety coordination control of the loop closing and opening process of the power distribution network are realized.

The invention discloses a smart park safety management system, and relates to the technical field of smart parks, the system uses an environment sensor group and a positioning device to collect position, temperature, humidity, illumination intensity and other multi-dimensional data in real time through a behavior data collection and analysis module, and calculates the moving speed, path curvature and stay time; and constructing a behavior data set based on a geographic information system (GIS), and storing the behavior data set in a time sequence database. And the abnormal behavior detection and early warning module extracts a behavior data set, constructs a feature vector and calculates an abnormal behavior probability by using a machine learning algorithm. By setting an abnormal threshold value, the system can accurately detect behaviors such as border crossing, speed abnormity and path deviation, and triggers an alarm or prompt. According to the real-time analysis based on the behavior data set, the probability of false alarm and missing alarm in a traditional system is remarkably reduced, potential safety risks can be rapidly recognized, and protective measures can be taken in time.

The invention relates to the technical field of chip packaging, in particular to a PCIe (peripheral component interface express) equipment function number border crossing prevention method supporting ARI (automatic repeat interface). The hardware layer protection process is as follows: S1-1, hot plugging; s1-2, if it is detected that the equipment declarates to support ARI, the PCIe controller hardware circuit immediately sets an equipment number register to zero; s1-3, only allowing the PCIe controller of the system to read the configuration space unidirectionally during the low level period of the reset signal PERST #; the interception process of the driving layer is as follows: S2-1, in an equipment enumeration stage, an operating system drives to dynamically read an ARI capability register; s2-2, if the equipment declarates to support ARI, forcing an equipment number register to be equal to 0, and releasing an original equipment number bit space for function number expansion; s2-3, border crossing access is blocked; and S2-4, synchronizing the state register. Compared with the prior art, correctness of device function numbers is guaranteed through two dimensions of hardware register state solidification and driver layer access truncation, and'perception-free 'fault tolerance of the PCIe device under ARI / traditional mode switching is achieved for the first time.

The invention relates to the technical field of micro-grid configuration, in particular to a wind and light storage micro-grid capacity optimization configuration method based on a PGWO algorithm, and the method comprises the following steps: building a wind and light storage micro-grid capacity optimization configuration model according to the output power model of each distributed power supply in a micro-grid; setting a micro-grid operation strategy; under the micro-grid operation strategy, solving the capacity optimization configuration model through a PGWO algorithm to obtain a micro-grid optimal configuration scheme; according to the method, the PGWO algorithm combining Bernoulli chaotic mapping initialization, individual historical memory and a border crossing processing strategy is provided, the method has higher global optimization capacity, capacity configuration optimization can be carried out on the premise of stable operation of the microgrid, and the operation cost is reduced.

The invention relates to the technical field of building construction intellectualization, in particular to a building construction intelligent monitoring system based on multi-source sensor data fusion. Comprising a data acquisition and storage unit; a data fusion processing unit; the construction state analysis unit uses an improved anomaly detection algorithm; a risk assessment early warning unit; and a visualization and decision-making unit. Through the dynamic adaptation module, the structural displacement feature weight is adjusted based on the construction stage parameters to preferentially extract the construction key stage structural features, and the structural material elastic deformation limit is corrected in combination with the material linear expansion coefficient and the temperature difference value; meanwhile, the dynamic critical generation module generates a risk critical judgment basis changing along with the construction process in combination with structural bearing capacity parameters and equipment mechanical stress limits in the construction stage, so that the problem that abnormal detection and risk judgment are lack of dynamic adaptability is solved; and the accuracy of personnel border crossing, equipment abnormity and structure abnormity identification and the adaptability of risk assessment are effectively improved.

The invention belongs to the technical field of building progress management, and particularly discloses a multi-modal data-based identification and acquisition method and system, and the method comprises the steps: detecting the process progress deviation of a current working face in a building construction process in real time, and recognizing a cross risk through combining with the subsequent process plan time when the progress deviation exists, therefore, a multi-dimensional rule-driven necessity evaluation mechanism is constructed, quantitative, objective and traceable evaluation on the feasibility of the cross operation is realized, and a feasible time window and a space authorization boundary of the cross operation are defined on the current working face while the cross operation is judged to be necessary. And then, monitoring a motion track of a subsequent process in an authorized area, synchronously predicting completion feasibility of a previous process in a feasible window period, and carrying out space-time two-dimensional compliance judgment, so that real-time perception and risk identification of cross operation are realized by depending on multi-modal data fusion, and anomalies such as border crossing operation or progress lag can be actively discovered. And regulation intervention is triggered in time.

The invention discloses an intelligent low-altitude traffic unmanned aerial vehicle situation awareness method and system. The method comprises the steps of image acquisition, perception enhancement border crossing sample generation, boundary distance analysis feature extraction unit design, dynamic cross-specification air situation fusion, airspace anti-change loss calibration, unmanned aerial vehicle situation awareness model design and low-altitude traffic unmanned aerial vehicle situation awareness. The invention belongs to the field of image processing, and particularly relates to an intelligent low-altitude traffic unmanned aerial vehicle situation awareness method and system.According to the scheme, texture constraint loss is constructed, and situation misjudgment caused by detail loss is reduced; based on boundary distance analysis operation, separating low-altitude traffic noise and target features; based on height attitude self-adaptive pooling size design, feature mismatching is avoided; introducing a motion speed compensation factor to correct frame offset caused by high-speed flight of the low-altitude unmanned aerial vehicle; a dynamic noise suppression coefficient is introduced to suppress harmful gradient interference; and the low-altitude traffic unmanned aerial vehicle situation awareness effect is further improved.

The invention provides a GBASE8s database border crossing positioning method and system, and the method comprises the steps: applying for an allocatable memory space from a segment memory space of a GBASE8s database, and applying for a target memory space for a specified program from the allocatable memory space; taking the allocable memory space and / or the target memory space as a to-be-checked memory space, and performing protection processing on the to-be-checked memory space; mapping a shared memory space of the GBASE8s database to a shadow memory space corresponding to the memory space to be checked; and if the access request is received, detecting whether the access request has a border crossing problem based on the shared memory space through the ASAN memory error checker to obtain a border crossing detection result. According to the method, the problem that the ASAN memory error checker is not matched with the GBAse8s database can be solved, and cooperative work between the ASAN memory error checker and the GBAse8s database is achieved.

The invention relates to the technical field of substation operation area protection, and particularly provides a near-electricity protection method and device related to high-altitude operation, and the method comprises the steps: S1, setting an alarm area based on risk factors in a substation operation area; s2, collecting distance information and image information of a to-be-crossed target entering the alarm area in real time; s3, when the distance information of the to-be-bounded target is smaller than a distance threshold value, it is judged that the to-be-bounded target is bounded; recognizing appearance feature abnormity and motion state abnormity of the image information of the target to be subjected to border crossing based on an image recognition algorithm; s4, when it is judged that the target to be subjected to border crossing crosses the border, sound-light alarm warning is carried out, and video monitoring is carried out; and when the target to be subjected to border crossing does not cross the border and the appearance characteristic abnormity and / or the motion state abnormity of the target to be subjected to border crossing are judged, tracking the target to be subjected to border crossing based on the appearance characteristic of the target, and performing sound warning. And a very good near-electricity protection effect is achieved on personnel and equipment related to high-altitude operation and the like.

The invention provides a dredger sensor health state diagnosis method and system, and belongs to the technical field of ship equipment health management.The dredger sensor health state diagnosis method comprises the following steps that N recent continuous sampling points are selected, a data mean value and a standard deviation in a sliding window are calculated, and a threshold confidence interval is defined; if the current sampling value continuously falls into the threshold confidence interval for M times; data such as mud pump power, mud density, pressure and flow velocity are collected in real time through the data collection unit, the mean value and the standard deviation are analyzed and calculated through the signal preprocessing unit, and then the fault type is judged in combination with the dynamic threshold value adaptation module, the soil texture classification strategy module and the redundancy check module. Alarm signals such as disconnection, water inflow and border crossing are triggered according to priorities through an alarm output unit, and the problems of mismatching of static thresholds, poor soil adaptability, high false alarm rate and the like in the prior art are solved by utilizing dynamic threshold adjustment, multi-dimensional data fusion and redundancy check mechanisms.

The invention discloses an automobile border crossing tolerance alarm method and system for a fixed operation line. The method comprises the following steps: generating a dynamic buffer area based on vehicle basic information, vehicle driving lane information and weather information; when the vehicle is driven into the dynamic buffer area of the lane, acquiring a drift point of a driving historical track of the vehicle on the lane; obtaining a vehicle course angle, and calculating an included angle deviation between a current driving track vector and a road segment vector; and determining an early warning level according to the drift point number and the included angle deviation. The real intention of the vehicle is deduced by analyzing the deviation between the vehicle course angle and the road direction and the historical track drift point, and the real risk is accurately captured.

The invention discloses a foundation pit monitoring self-adaptive regulation and control method based on reinforcement learning, and aims to solve the problems that safety constraints are difficult to meet continuously under complex working conditions and disturbances, and'controllability and no boundary crossing 'are difficult to guarantee. The foundation pit monitoring self-adaptive regulation and control method comprises the following steps: constructing a monitoring-prediction-check-projection-execution-learning closed loop taking safety embedding as a unified drive; according to the method, multi-source data and partition state estimation are fused, and distributed risk actor-commentator, physical constraint nerve prediction and adaptive confidence calibration, model prediction safety filtering and micro quadratic programming projection are adopted; the technical effects of real-time self-adaptive regulation and control within the standard limit value and the dynamic safety margin, reduction of the border crossing risk and improvement of the stability and the reliability are achieved.

The invention discloses a pipe-jacking construction safety risk intelligent assessment method based on multi-source data fusion, and relates to the technical field of pipe-jacking construction, and the method comprises the steps: obtaining historical monitoring data of pipe-jacking construction, including geological radar images, engineering operation parameters and structural deformation parameters; establishing a construction topology network based on the historical monitoring data, identifying risk driving factors in combination with a preset GAM model, and automatically adjusting the monitoring data acquisition frequency; a machine learning model is introduced, iterative training is performed on each batch of monitoring data, and abnormal fluctuation of structural deformation parameters is evaluated so as to identify the risk degree of geological mutation; wherein the risk degree comprises a valid risk and an invalid risk; based on the construction topology network, in combination with the effective risk, executing an operation safety strategy, and judging a border crossing behavior; according to the method, accurate association of node links is realized, monitoring pertinence is improved, multi-source data fusion is refined to a certain extent, and judgment of risk core sources and timely early warning are facilitated.

The invention relates to methods for providing a temporary crossing area (26) in a traffic area (10), in particular on a road (12), comprising the following steps: - Creating and sending a crossing request (30) for a traffic area (10), in particular a road (12), by a first road user (28), - Receiving the crossing request from other road users (34) in the vicinity of the first road user (28), - Creating a temporary crossing area (26) for the traffic area (10), in particular the road (12), and showing the temporary crossing area (26) to the other road users (34) until the first road user (28) has completed crossing the traffic area (10).

The invention discloses an unmanned aerial vehicle self-destruction measure ground verification method and system. The method comprises the following steps: configuring an instruction self-destruction measure and an autonomous self-destruction measure on the unmanned aerial vehicle; setting a safe airspace for testing on the ground; injecting boundary information of the safe airspace into a flight control system of the unmanned aerial vehicle; a GNSS transponder is used for providing simulated satellite positioning signals for the unmanned aerial vehicle, and the GNSS transponder comprises an outdoor antenna, an indoor antenna and a host; dynamically simulating the position change of the unmanned aerial vehicle relative to the safe airspace by moving the outdoor antenna so as to construct a test scene in which the unmanned aerial vehicle crosses the safe airspace; and based on the test scene, respectively carrying out ground verification on the function validity of the instruction self-destruction measure and the autonomous self-destruction measure. According to the invention, an airplane border crossing scene is dynamically simulated through the movable GNSS transponder, comprehensive, convenient and safe ground verification of instruction self-destruction and autonomous self-destruction measures under multiple working conditions is realized, and the self-destruction reliability is guaranteed.

The utility model relates to the technical field of substation operation area protection, in particular to an air offside alarm device. The air offside alarm device comprises an integrated control operation box and a control center display module, a radar detection module is arranged on the integrated control operation box and is configured to be capable of detecting a distance signal of a to-be-crossed target entering an alarm area; the high-definition video monitoring module is configured to be capable of performing multi-angle video monitoring; the analysis control module is configured to be capable of receiving a distance signal of a target to be subjected to border crossing, obtaining a border crossing signal through comparison and judgment with a distance threshold signal, generating an alarm control signal according to the border crossing signal, and generating a monitoring trigger signal according to the border crossing signal; the audible and visual alarm module is configured to receive the alarm control signal and perform audible and visual alarm; and the control center display module is used for displaying the video monitor on the control center display module.

The invention relates to the technical field of office management, in particular to a collaborative office management system and method based on big data, in which task allocation, resource use and approval behaviors are collected and fused, a graph network with a heterogeneous structure is established, node features are aggregated by using the graph neural network, and high-dimensional collaborative behavior representation is formed. According to the method, a structured data expression system is constructed, fine modeling of complex cooperative behaviors is realized, through an isolated forest algorithm, rare detection is performed on each node in a graph in time and authority dimensions, active discovery of a task conflict path and an authority conflict path is realized, the abnormal behavior identification efficiency in a task cooperative process is improved, and the task cooperative behavior identification efficiency is improved. Through combination of abnormal path and conflict node analysis, authority border crossing and process bypassing behaviors are dynamically identified, and an intervention mechanism is triggered, so that diffusion of illegal behaviors in a system is effectively prevented, and the automatic processing capability, behavior prediction capability and execution security of a collaborative office process are enhanced.

The invention discloses a personnel activity control and regional safety prevention and control system and method based on a fusion positioning technology, and relates to the technical field of personnel monitoring. A positioning sensing module is fused with the positioning technology to obtain positioning data and preprocess the positioning data; the GIS fusion module dynamically divides an early warning area and maps positioning data to an electronic map; the intelligent analysis module monitors the spatial relationship between the personnel and the early warning area, and when an early warning condition is met, early warning is triggered and a border crossing event list is generated; the linkage execution module receives the early warning signal and is linked with a camera, an entrance guard and an alarm device in a corresponding early warning area; and the visual echo module is used for displaying the electronic map, the early warning area, the personnel track, the event list and the video information. The method improves the positioning precision, flexibly and dynamically divides and manages areas, carries out border crossing detection and exemption rules in combination with a plurality of judgment mechanisms to realize precise prevention and control, is linked with security equipment, enhances the cooperative prevention and control capability, and reduces the cost.

The invention provides a control method and system for a cement grout underground injection process. The method comprises the following steps: acquiring historical diffusion distance data; extracting a grouting border-crossing record during grouting of the cement grout from the historical diffusion distance data, and determining a border-crossing fluctuation index of the cement grout during grouting according to the grouting border-crossing record; historical grouting flow data are obtained, the flow safety interval of each cement grout control node is further determined, and the flow adjusting weight of each cement grout control node in the border crossing state is determined according to each flow safety interval and the border crossing fluctuation index; the diffusion deviation record of the ground grouting station is further extracted, then the maximum allowable deviation of the ground grouting station during cement grout grouting is determined, and the grouting adjusting amount of the diffusion distance is determined through all the flow adjusting weights and the maximum allowable deviation; the diffusion distance of each cement grout control node in the ground grouting station is restrained and adjusted based on the grouting adjusting amount; and adaptive adjustment of the diffusion distance is realized.

To allow workers to determine at a glance whether a vehicle can travel at an actual construction site.SOLUTION: A travelling possibility display system 1 displays information about the travelling possibility of a vehicle on a road on which the vehicle is scheduled to travel, and includes a road condition acquisition device 3 that acquires point cloud data of the road and surrounding objects along the road, a travelling possibility prediction device 4 that uses the point cloud data to recreate the road and the roadside in a virtual space and predicts a travelling possibility by simulating the vehicle's travel in the virtual space, and a display device 5 that displays a fused image in which a travelling possibility prediction result is fused with an image obtained by photographing the road and the roadside. The prediction result includes at least either border crossing range information that indicates a range in which the vehicle will cross the road, or interference range information that indicates a range in which the vehicle will interfere.SELECTED DRAWING: Figure 1

Provided is a system and method for de-personalized security data file sharing using passenger list information messages, the method including: obtaining from an electronic passenger list information message, passenger data for passengers, the passenger data including a unique passenger identifier (UPID) assigned by a Departure Control System (DCS) of an originating airline for each of the plurality of passengers; and, for each of the passengers: depersonalizing the passenger data; retrieving a security screening image (SSI) representative of contents of the luggage item; converting the SSI and the UPID into SSI file sharing data for a security screening tool; transmitting the SSI file sharing data to a secure system associated with a border crossing airport to be used in a security screening process on the checked-in luggage item using the security screening tool; receiving a first screening message with a result of the screening process; and causing the result to be displayed, wherein the result includes one of: a first result representative of cleared security screening; or a second result representative of failed security screening, wherein one or more of the passenger or the checked-in luggage item that failed the security screening are flagged for further security inspection.

An embodiment of the present application provides a collision prediction method, device, medium, and electronic device for a vehicle. This method can be applied to scenarios such as ports, border crossings, mines, highways, or urban traffic. First, vehicle speed information, basic steering angle control information, and obstacle coordinate information are obtained. Then, based on the target steering angle control sequence information and vehicle speed information, the predicted pose of the vehicle within the target time domain is determined, and the target steering angle control sequence information is obtained based on the basic steering angle control information; Next, according to the predicted pose and vehicle body size information, the vehicle contour information within the target time domain is determined, and based on the vehicle contour information and obstacle coordinate information, the target collision prediction result of the vehicle is determined, and the target collision prediction result indicates whether the vehicle collides with an obstacle within the target time domain. This method can reduce the impact of positioning failure or abnormality on the collision prediction result and improve the accuracy of collision prediction.

The invention relates to the technical field of AI-based central air-conditioning system energy-saving optimization, and discloses an AI-based central air-conditioning system energy-saving optimization simulation platform. Setting a unified sampling period, reading rated temperature difference, temperature and heat exchange amount sensor resolution and maximum heat exchange amount from a specification, initializing thermal resistance and thermal capacity double-exponential smoothing parameters, and setting non-zero protection; the condenser temperature, the evaporator temperature and the heat exchange amount are collected in real time, and abnormity is eliminated through border crossing and lower limit verification; calculating a temperature difference and a first-order change rate thereof, and estimating instantaneous thermal resistance and thermal capacity according to the temperature difference and the first-order change rate; a smoothing coefficient is adaptively generated based on the continuous period parameter difference value, and double-exponential smoothing iteration updating is adopted; performing physical correction on the smoothed parameters and storing history in a rolling manner to ensure that the result is reliable; and finally, recommended heat exchange amount is calculated and subjected to range correction on the basis of the newest smooth thermal resistance and serves as closed-loop control reference of refrigerant flow or compressor load in the next period.

The invention relates to the technical field of vehicle monitoring and scheduling, in particular to a vehicle dynamic scheduling and compliance monitoring system and method based on an electronic fence, and the system comprises a dynamic scheduling information access module, a dynamic electronic fence engine, a judgment early warning module, a visual output terminal and a data storage and learning module. The method is characterized in that a temporary task electronic fence with a life cycle and reasonable path authorization is dynamically generated for a controlled vehicle by acquiring scheduling information in real time, and the temporary task electronic fence and a basic static fence form a multi-layer fence logic. And the judgment and early warning module combines the real-time position of the vehicle and the scheduling context to carry out scenario research and judgment, so that reasonable border crossing and illegal behaviors are effectively distinguished, and the false alarm rate is greatly reduced. Meanwhile, the system continuously optimizes fence parameters and rules through learning. According to the invention, the problems of poor applicability and high false alarm rate of a fixed electronic fence in a dynamic scheduling scene are solved, the balance between supervision rigidity and business elasticity is realized, and the intelligent and precise level of vehicle monitoring is improved.

The invention discloses a movable wireless night vision monitoring system, and relates to the technical field of movable wireless night vision monitoring systems, in particular to a movable wireless night vision monitoring system which is designed for environments such as smart parks, border channels and large industrial facilities, supports real-time monitoring and data transmission, ensures clear imaging in a low-light environment, and improves the working efficiency. Meanwhile, the data security is guaranteed through a multi-level encryption and privacy protection mechanism; the mobile design is achieved, rapid deployment and flexible maintenance are facilitated, and the system adapts to various complex scenes; the night vision function is achieved through the infrared light supplementing and low-illumination imaging technology, and the face, license plate and thermal radiation characteristics are effectively captured. The method is particularly suitable for user groups such as safety management personnel and facility maintenance personnel, the safety and the monitoring efficiency are remarkably improved, and the operation cost is reduced.

The invention discloses a parent abalone border crossing behavior recognition method based on dynamic subtraction statistical characteristics, and belongs to the field of image recognition, and the method comprises the following steps: carrying out the blocking and graying processing of a wall-climbing video without parent abalone, and obtaining a video average gray value; based on a sampling rate, extracting a sampling frame of the abalone-free wall-climbing video, and calculating a difference value between a gray value of the sampling frame and the average gray value of the video to obtain a difference value sequence; performing pairwise comparison on the sampling frames to obtain an inter-frame difference matrix; and respectively drawing the difference value sequence and the inter-frame difference value matrix into difference value curves, and determining the abalone border crossing behavior based on the difference value curves. According to the method, challenges caused by background and illumination changes can be effectively coped with through combination of segmentation subtraction and statistical property analysis, and the detection precision and robustness are greatly improved.

This application provides a method, apparatus, and equipment for the collaborative control of mixed-load truck platoons, applicable to business scenarios such as ports, border crossings, road freight, urban delivery, mining, and airports. The method includes: acquiring the real-time load mass of each vehicle in the platoon and constructing a vehicle energy consumption model incorporating kinetic energy recovery; dynamically determining the optimal lead vehicle based on this energy consumption model and forward-looking road gradient information, with the goal of minimizing the overall energy consumption of the platoon; and finally, generating and executing an energy-saving control strategy before the platoon reaches the slope, instructing the platoon to complete the collaborative driving configuration switch. This invention achieves refined and adaptive energy-saving control of truck platoons under real-world complex road conditions by integrating load, gradient, and kinetic energy recovery factors.

The invention relates to a method for the cross-border operation of a rail vehicle, in which a rail vehicle uses a first software in a first spatial area, which is tested and approved for the operation of the rail vehicle in the first spatial area. In addition to the first software, the rail vehicle also maintains a second software, which is tested and approved for the operation of the rail vehicle in a second spatial area. In the first spatial area, the rail vehicle uses the first software. When crossing a border crossing from the first spatial area to the second spatial area, the second software is used for the operation of the rail vehicle in the second spatial area instead of the first software.