126 results about "Global system" patented technology

The invention discloses a data space multi-tenant isolation method and system based on a zero-trust architecture, particularly relates to the technical field of multi-tenant authority control, and is used for solving the problems of cross-tenant authority conflict and insufficient resource isolation caused by frequent strategy adjustment in the prior art. The method comprises the following steps: constructing a strategy dependence topological structure by acquiring a dynamic access strategy change request in real time so as to model a dependency relationship among a tenant permission node, a resource access path node and a time sequence connection edge; dynamically marking a resource sensitivity weight based on a historical access behavior, and analyzing and screening high-sensitivity conflict nodes in combination with a logic coupling degree; separating an independent resource access chain which directly depends on through reverse backtracking, and generating a hierarchical permission correction rule; finally, rules are injected, and blocking conditions are triggered to execute hierarchical verification and risk marking on the cross-tenant operation requests; the influence of strategy execution on a global system is reduced, and the permission boundary clearness and resource security of a multi-tenant data space are ensured.

The invention discloses a reliability analysis method and system for a power system, and relates to the technical field of intelligent operation and maintenance of the power system, and the method comprises the steps: collecting data, and constructing a dynamic space-time atlas network of the power system, which comprises time dimension information and space dimension information; feature extraction is carried out based on a spatial-temporal feature learning framework constructed by a dual-channel graph attention network and a gated causal convolution network, and spatial-temporal fusion features containing complete spatial-temporal information are generated by using gated causal convolution and a time attention capture time sequence evolution mode; and converting the space-time fusion features into a local risk state and a global system state through a state feature mapping network, calculating a local component risk index and a system overall reliability index, generating a collaborative decision strategy, and realizing reliability analysis of the power system. According to the method, the intelligent operation and maintenance level of the power system is remarkably improved, the shutdown time and the maintenance cost of the system are reduced, and meanwhile, the system performance is continuously improved through preventive maintenance and an active optimization strategy.

The invention discloses an observable analysis method and system based on intelligent analysis, and the method comprises the following steps: a collector module collects operation and maintenance data, and sends the operation and maintenance data to an observable module, the operation and maintenance data comprising a client log, a server log, cluster performance data, server performance data, database performance data and gateway performance data; the observable module performs data analysis according to the operation and maintenance data, wherein the data analysis comprises root cause positioning, performance optimization, capacity planning and prediction, operation and maintenance release process monitoring, micro-service governance and user experience optimization; and the observable module sends a data analysis result to the output module. According to the observable analysis method provided by the invention, full-link monitoring from the terminal user to the back-end server is ensured, a global system view is formed, a fault root cause can be quickly positioned, and the manual troubleshooting time is shortened.

The invention relates to the technical field of liquid cooling, in particular to a distributed full liquid cooling device which comprises a liquid cooling distribution module, a liquid supply main pipe, a liquid return main pipe and a plurality of liquid cooling modules, and the liquid cooling distribution module adjusts the flow speed of low-temperature cooling liquid in the liquid supply main pipe according to the total heating value, so that the overall heat dissipation balance of a system is guaranteed; the cooling liquid inlet flow of each liquid cooling unit is accurately regulated and controlled based on the inlet and outlet liquid temperature difference and the real-time liquid supply mass flow of the liquid cooling units in the liquid cooling module and the real-time reference power of the electronic equipment, so that the heat dissipation requirement of the single liquid cooling module can be met; meanwhile, the liquid cooling distribution module can control the opening state of the jet flow unit according to the surface temperature of the heating element in the electronic equipment, and local enhanced cooling can be conducted on the heating element. According to the distributed full liquid cooling device, accurate control from a global system to a local system is realized through distributed management, and heat dissipation requirements of different levels can be met.

A Private Mobile Network (PMN) orchestrator sends, to a controller for a public mobile network, a message indicating one or more network functions for a private mobile network slice for a private mobile network and configuration information for the private mobile network slice. In some examples, the message is a Global System for Mobile communications Association (GSMA) NEtwork Slice Type (NEST) extended to specify the one or more network functions for the private mobile network slice and the configuration information for the private mobile network slice. The message enables the public mobile network to deploy a public mobile network slice that extends the private mobile network slice.

The invention relates to the field of Serverless function scheduling, and particularly provides a Serverless function scheduling method based on deep reinforcement learning. According to the method, a Serverless operation environment is simulated, a near-end strategy optimization (PPO) reinforcement learning framework is adopted, and a PPO algorithm utilizes a strategy constraint mechanism to maintain the model updating stability and improve the training data utilization rate. In a model training stage, an intelligent agent generates a scheduling action according to local observation information, inputs a global system state into a Critic network for joint value evaluation, and outputs a reward signal with weight correction. During actual deployment, the agent autonomously executes instance scheduling based on the trained strategy network, and rapidly responds to a scheduling request. According to the method, a reward function is set by taking minimization of response time and energy consumption as optimization objectives, and intelligent function scheduling of Serverless under dynamic resources and workloads is realized.

The invention discloses a transparent glass surface shape measuring device and a transparent glass surface shape measuring method based on stereoscopic deflection, a plane mirror is introduced to complete calibration work, global system parameters are optimized according to re-projection results of the plane mirror, system calibration flexibility is improved, and calibration precision is improved. Glass to be detected can be placed at any position in a to-be-detected area on a carrying platform without fixing, a Gray code auxiliary line shift fringe technology is adopted as a coding and unfolding scheme, the coding scheme is completely based on a binary coding method, a modulation graph has the characteristic of spatial separation, coding information is easier to extract, and the coding efficiency is improved. The reflection information of the upper surface of the glass is extracted through a self-adaptive method based on a clustering algorithm, threshold parameters do not need to be set manually, a pure vision scheme is adopted, the method has the advantages of being low in cost, large in dynamic measurement range and the like, and the measurement precision meets the actual industrial measurement requirement.

The invention provides a data sharing method and system, and the method comprises the steps: at least a threshold number t of secret key generation devices in a secret key generation system cooperate with an intermediate device, so as to carry out the cooperative operation of the secret key generation devices and the intermediate device according to a global system public key PK, the public key of each user in a user complete set, and an attribute set X corresponding to each user; and calculating to obtain a conversion key of each user. A data owner can encrypt plaintext data according to a global system public key PK, a user subset and an access control rule related to attributes to obtain ciphertext data. And then, aiming at any target user in the user subset, under the condition that the attribute set X of the target user conforms to the access control rule, the intermediate equipment converts the ciphertext data into a converted ciphertext corresponding to the target user by utilizing the conversion key of the target user. Therefore, the target user can decrypt the plaintext data based on the converted ciphertext.

The invention discloses a kernel-level heterogeneous collaborative AI reasoning method and device, equipment and a storage medium, and relates to the field of AI reasoning acceleration. When the KDS receives a reasoning request submitted by a user space, generating a cross-device plan list according to a global system resource state and issuing the cross-device plan list to the HCEE; the HCEE drives the corresponding target execution equipment according to the task execution sequence, reads the data information from the UCMP, or restores intermediate / result data reasoned and output by the target execution equipment; after reasoning of the plan list is completed, the kernel space triggers an event notification mechanism, and a user process of the user space is awakened; and the user process directly reads the reasoning result from the UCMP. According to the scheme, deep collaboration of task scheduling, memory management and equipment execution is realized on a Linux kernel level, the problems of high overhead, resource islands, memory redundant copy, extensive scheduling granularity and the like of a user mode reasoning framework system are solved, and end-to-end low-delay, high-throughput and high-energy-efficiency AI reasoning acceleration is realized.

The invention provides an autonomous intact monitoring method for a navigation satellite message, which comprises the following steps: calculating first state information at a predetermined moment by extrapolating navigation message parameters of a historical top-injection message, calculating second state information according to navigation message parameters of a new top-injection message top-injection at the predetermined moment, and calculating a first difference value between the first state information and the second state information; acquiring a regional system signal and a global system signal which are uploaded at the same moment, and respectively calculating state information corresponding to the regional system signal and the global system signal and a second difference value between the state information; and judging whether the first difference value and the second difference value both exceed corresponding alarm thresholds or not, and if yes, generating incomplete alarm information. Thus, autonomous integrity monitoring of the on-satellite telegraph text can be achieved, monitoring and warning can be conducted on abnormity of the telegraph text caused by uplink injection, malicious tampering and the like, and the situation that a wrong positioning result is caused after a wrong telegraph text is broadcasted to a ground user is prevented.

The invention discloses a distributed photovoltaic user power behavior control scheduling method and system, and the method comprises the steps: deploying an edge controller at a photovoltaic user local device, and collecting power data in real time; a sliding window autoregression model is adopted to carry out short-term load prediction, and an edge controller realizes energy storage state adjustment and load matching balance by constructing an edge node objective function; carrying out constrained quadratic programming solution on the edge node target function, taking a solution result as a node local scheduling strategy, and regularly uploading a current state and a control result to the cloud; the cloud optimization layer collects all edge node state data, constructs a global system state set, and establishes a multi-target joint scheduling model on the cloud optimization layer; and solving and optimizing the multi-target joint scheduling model to generate a global scheduling strategy, and issuing the global scheduling strategy to each edge node. According to the invention, energy prediction and real-time load scheduling are independently executed on the edge side controller on the basis of local data, and the response speed is improved.

The invention relates to the technical field of unmanned aerial vehicle formation, in particular to a resource-limited multi-unmanned aerial vehicle optimization backstepping formation fault-tolerant control method, which comprises the following steps of: constructing a nonlinear dynamic model; determining a formation communication topological structure according to a formation task requirement; designing a neural network state observer; designing a trigger mechanism for state updating of the observer; calculating a formation tracking error and a tracking error of a formation global system; based on a backstepping control method, introducing first-order filtering at the same time, and calculating a speed tracking error; virtual control is introduced, and a filtering tracking error is calculated; designing an event triggering mechanism of an unmanned aerial vehicle controller based on the tracking error, the speed tracking error, the virtual control input and the first-order filtering of the global system; designing a neural network and optimizing a fault-tolerant controller; and the execution network and evaluation network architecture based on reinforcement learning optimizes control parameters. According to the invention, the response capability of the multi-unmanned aerial vehicle formation system after the unmanned aerial vehicles fail is significantly improved, and the operation efficiency of the formation system is improved.

The invention provides a flexible load hierarchical polymerization optimization regulation and control method. Flexible load operation data is acquired and divided into adjustable and non-adjustable loads, and a classification foundation is laid for subsequent hierarchical aggregation; three-level aggregation of an equipment layer, a region layer and a system layer is executed on two types of loads, and scattered resources are integrated into a hierarchical structure, so that the complexity of directly regulating and controlling massive scattered loads is remarkably reduced; a regulation and control model is established based on a hierarchical aggregation result, and an optimization algorithm is adopted to solve a strategy, so that collaborative optimization from local equipment to a global system is realized. According to the method, the contradiction between resource dispersity and regulation and control real-time performance is solved through a layering mechanism, the transmission efficiency and execution precision of regulation and control instructions are improved, meanwhile, the communication burden and the calculation cost are reduced through an aggregation model, and an efficient framework is provided for flexible dispatching of power grid flexible loads.

A system for global system memory management unit (SMMU) fault handling, the system comprising: a peripheral device having a guest virtual machine (GVM), the peripheral device configured to access a memory (DDR) through a system memory management unit (SMMU); a hosted hypervisor associated with the peripheral device, the GVM, the SMMU, and the memory (DDR), where, upon identification of a faulty memory transaction and a global SMMU fault issued, the hosted hypervisor is configured to identify that a flow identifier (SID) associated with the global SMMU fault is assigned to the GVM, and the hosted hypervisor is configured to reset only the GVM, and to identify that the flow identifier (SID) associated with the global SMMU fault is assigned to the GVM. And restarting of the complete system is avoided.

The invention discloses a hydropower station gate emergency control system, and relates to the technical field of hydropower station gate remote control, the hydropower station gate emergency control system comprises a plurality of groups of in-situ data acquisition control servers, a Beidou terminal, an edge data unit, a serial port optical fiber converter and an optical fiber, the in-situ data acquisition control servers realize wired connection through the optical fiber; and the in-situ data acquisition control server is wirelessly connected with the Beidou satellite through the Beidou terminal. According to the invention, point-to-multipoint remote wireless communication between the computer monitoring system at the power station side and each gate at the dam side is implemented through the Beidou satellite, and a communication link is safer and more reliable than a GSM (Global System for Mobile Communications); state data of the sluice gate are collected in a Beidou satellite transmission mode and transmitted to a central control room of a power station, and state remote measurement, remote signaling and remote control of the sluice gate are achieved when a traditional optical fiber communication cable breaks down. In a conventional environment, traditional optical fiber communication is still adopted, daily stable communication is guaranteed, and meanwhile communication cost is saved.

The application relates to the field of computing models and industrial safety data processing under new-generation information technology, and discloses a chemical fire and explosion coupling consequence prediction method and system based on a large model, which has the technical scheme as follows: physical mapping of a multi-source heterogeneous environment and construction of a graph node digital twin, evolution calculation of a fluid mechanics source term and triggering of a disaster critical point, deduction of a physical large model thermal radiation field in a restricted environment, analysis and quantification of a "thermal-power" dual coupling tensor of a target device and buckling failure, deduction of a space-time graph attention network with strong intervention of a physical prior probability, tracing of global system vulnerability and closed-loop blocking control of a physical execution end; by using intelligent calculation technologies such as a physical information neural network and a space-time graph attention network, a thermodynamic partial differential equation and a material thermal-power coupling failure criterion are forcedly embedded into a graph deduction framework as a physical prior bias, so that complex disaster consequence prediction is accelerated from "hour level" to "second level" in the traditional CFD.

A method for monitoring a traffic area with a traffic monitoring system comprises monitoring a traffic area with a global monitoring system and monitoring at least one partial traffic area of the traffic area with a local monitoring system. The traffic monitoring system establishes a global communication connection to a vehicle located in the traffic area with at least one global communication unit and a local communication connection to the vehicle in the partial traffic area with at least one local communication unit. The global system controls the vehicle by determining a route with the global system; and transmitting control commands via the global communication connection to the vehicle. A control command is transmitted to the vehicle by the local communication unit when the vehicle is in the partial traffic area and the local system detects a hazardous situation.

The application relates to the technical field of digital security management of assets, and discloses a digital security management system and method, which extracts to-be-scanned asset identification and scanning strategies by analyzing a digital security scanning task, considers network bandwidth and scanning result data warehousing queues of a scanning engine performing scanning, combines asset risk attributes, scanning features and system resource constraints, generates a digital security management strategy, and further controls scanning and data warehousing actions performed by the scanning engine. Thus, the application realizes accurate matching of scanning frequency and asset risk through a dynamic risk assessment mechanism, avoids the complexity and subjective bias of traditional manual strategy setting, comprehensively considers global system resource restrictions such as scanning engine load, network bandwidth and data warehousing queues, optimizes scanning task scheduling, completely solves the resource competition problem that is prone to occurring in traditional scanning, avoids system performance bottlenecks, and significantly improves scanning efficiency and the timeliness of security assessment.

The invention provides a dynamic self-adaptive DNN collaborative reasoning method supporting a backspacing mechanism, relates to the technical field of image processing, and designs an elastic two-way task flow from equipment to edge to equipment, so that the elastic two-way task flow becomes an intelligent scheduling decision point. And when the edge server is overloaded, the task can be actively returned to the source mobile equipment to be executed, so that the bottleneck of queuing delay caused by edge resource competition is fundamentally avoided. A rollback decision is introduced, so that an unloading strategy is upgraded from'static 'or'semi-static' to real'dynamic self-adaption ', the change of edge resources can be directly responded, and a decision target is expanded from optimizing a single task to optimizing a global system load. Three key dimensions, namely a backspacing decision, resource allocation and a model segmentation point, are arranged in a unified framework for joint optimization. Through an integrated reinforcement learning model, the three decisions are output at the same time, so that the three decisions can cooperate with each other and have a synergistic effect.

The invention discloses a power grid hybrid network performance optimization model considering construction cost, and belongs to the technical field of intelligent power grid communication. According to the model, a parameter system including communication equipment, terrain and a global system is defined, a function with the purpose of minimizing the total cost of a life cycle and multivariate constraint conditions of transmission distance, retransmission times, delay, reliability and flow velocity are constructed, and optimal equipment and transfer device configuration is solved by adopting a node traversal and iterative optimization algorithm. Cost and performance collaborative optimization of a honeycomb, Wi-Fi and ZigBee heterogeneous hybrid communication network under a complex terrain is realized, planning accuracy and reliability are remarkably improved, and construction, operation and maintenance cost is reduced.

The objective of the proposed invention is to make it possible to mount the multifunctional mobile module onto the roof of any vehicle to turn it into an autonomous vehicle by providing all the functions of an autopilot system within a single module, ensuring the operability of the module within a wide range of ambient temperatures (−40° C. to +50° C.), as well as within a wide range of weather conditions (rain, downpour, snow) by means of a thermal management system (TMS) and sensor cleaning systems that are integrated into the body of the module.The multifunctional mobile module for automatic vehicle control comprises an underframe made of a metal profile and equipped with metal brackets that hold screw-connected sensors (cameras, a lidar, an inertial navigation system, a Global Navigation Satellite System (GNSS) receiver), equipment (calculators, fans, heaters, network switches, a peripherals controller, GSM (Global System for Mobile Communications) antennas, sensor cleaning system components), and an outer plating that is also mounted onto the underframe.

The invention relates to the technical field of railway wireless communication, in particular to a GSM-R (Global System for Mobile Communications-Railway) vehicle-mounted front-end wireless interference test system and a method thereof. Comprising a high-resolution spectrum acquisition unit; an integrated multi-dimensional test unit; a dynamic scene adaptation unit; and an intelligent interference diagnosis unit. According to the invention, multipath channel modeling and Doppler frequency offset estimation in a vehicle-mounted high-speed mobile environment are completed through a dynamic scene adaptation unit, and scene prior information is generated; and the intelligent interference diagnosis unit constructs a vehicle-mounted adaptive multipath frequency offset estimation and interference diagnosis model according to the multi-path frequency offset estimation and interference diagnosis model, and realizes full-dimensional interference feature extraction. According to the method, sudden interference is detected by adopting double modes of known interference accurate identification and unknown interference clustering, internal and external source interference is decoupled and traced through feature analysis and hypothesis testing, the criticality is quantified, and a disposal instruction is generated. Meanwhile, based on a diagnosis-collection closed-loop scheduling mechanism, collection parameters are adjusted in a targeted mode, an interference model is iteratively optimized, and self-adaptive adaptation of the system to a vehicle-mounted dynamic scene is achieved.

The present invention belongs to the technical field of three-dimensional laser scanning, and discloses a method for evaluating the accuracy of sparse point clouds without feature extraction. By directly utilizing neighborhood point search and median filtering technology, the elevation values ​​of checkpoints are efficiently and robustly obtained from sparse ground point clouds. First, the ground points are automatically separated with the help of the CSF algorithm, and the adaptive neighborhood radius is calculated based on the horizontal bounding box of the point cloud and the number of points, without the need to manually set parameters; then, the point cloud set around each checkpoint is quickly located through KD-Tree, and the elevation is calculated in a median manner to maximize resistance to interference from noise and isolated points. In addition, the present invention introduces a control point correction process, performs the same median elevation acquisition on the control points under the same neighborhood criterion, and calculates the global system elevation difference after eliminating outliers through the triple mean error method, which is used to accurately convert the leveling measurement elevation to the point cloud elevation benchmark, effectively eliminating the overall offset caused by the benchmark difference.

The invention provides an integrated energy multi-agent collaborative optimization scheduling method and system under an extreme event, and belongs to the technical field of integrated energy system scheduling. The method comprises the following steps: extracting spatial-temporal characteristics of multiple agents of the comprehensive energy system, performing knowledge distillation lightweight, setting the spatial-temporal characteristics to be in a global system state, constructing an agent lightweight general model in combination with Nash equilibrium, and solving the model; obtaining a global system state and an optimal action strategy of each agent in the global system state; combining the optimal action strategy with a built power failure probability model of each extreme event, a built extreme event driven electricity-gas-heat-storage multi-energy disturbance propagation model solving model and a generated adjustment demand matrix; adopting a deep reinforcement learning method to construct a multi-agent collaborative strategy model; and inputting the real-time monitoring data of the comprehensive energy multi-agent into the multi-agent collaborative strategy model to obtain a comprehensive energy multi-agent collaborative optimization scheduling strategy under the extreme event. According to the invention, the regulation and control precision and safety of the integrated energy system under extreme events are improved.

The utility model discloses a touch and press dual-purpose type GSM digital mobile phone modularization detachable button comprising a GSM digital mobile phone and a keyboard assembly, a touch screen is arranged above the front end of the GSM digital mobile phone, the top of the GSM digital mobile phone is provided with a loudspeaker, the bottom of the front end of the GSM digital mobile phone is provided with a keyboard groove, and the keyboard groove is provided with a touch screen. A keyboard assembly used for the replaceable numeric keyboard is installed in a keyboard groove, the keyboard assembly comprises a maintaining shell, fixing screws, buttons, a circuit board and metal contacts, the four corners of the maintaining shell are in threaded connection with the fixing screws, the buttons are arranged in the maintaining shell, the tail ends of the buttons are electrically connected with the circuit board, and the metal contacts are electrically connected with the circuit board. A metal contact is arranged on the left side of the circuit board, and the circuit board is electrically connected with a GSM digital mobile phone through the circuit board. According to the modularized detachable keys of the touch-press dual-purpose GSM digital mobile phone, the key replacement time can be shortened, the key replacement difficulty can be reduced, and meanwhile the key protection capability can be improved.

The present invention relates to a method and system for simulating the full-link space environment channel of the Beidou global system. The method comprises: obtaining the operation control parameters of the signal transceiver link, and setting the scene standard operation control information according to the operation control parameters and the parameter information of the simulation object participating in the link information transmission and reception. According to the scene standard operation control information, the channel model corresponding to the scene standard operation control information and the relative motion state of the simulation object, each link in the space environment channel is uniformly driven for simulation, and the communication simulation of the simulation object in the link corresponding to the channel link relationship is completed according to the channel characteristic simulation parameters and the channel link relationship. The operation frequency information and time-frequency signals of all subsystems in the synchronization system are used to calibrate the scene standard operation control information, channel link simulation and communication simulation of the full-link space environment channel. The present method can flexibly implement the channel simulation capabilities of full-link, full-frequency, full-scene and full-dynamic.

The invention discloses a global digital authentication terminal device supporting an eSIM, and the device comprises a password security chip which is used for executing global digital identity authentication, credit evidence storage and secure communication control, and a security module, an SM9 identification password algorithm module, an electronic seal engine, a multi-platform digital certificate management unit and a trusted execution environment are built in the password security chip; the eSIM module conforms to the standard of the global system for mobile communication (SGP). 22 and supports the switching of configuration files of a multi-operator subscriber identity module; wherein the eSIM module and the password security chip cooperatively operate, when a user initiates a security service, the password security chip generates a dynamic digital identity identifier based on an SM9 identifier cryptographic algorithm, and binds the dynamic digital identity identifier with an international mobile subscriber identity code in an eSIM configuration file; therefore, two-factor authentication of the communication identity and the digital identity is realized. The terminal device has the advantages of strong authentication and high compliance.

The present application belongs to the technical field of exploration and engineering surveying, and specifically discloses a tunneling machine vibration coupling navigation self-calibration method, which comprises: based on a global system reference beat, feeding forward compensating the physical transmission delay of a heterogeneous bus and the inherent hardware latch delay of an analog-to-digital converter, controlling a micro-electro-mechanical system accelerometer to collect and output a clean vibration acceleration sequence; performing window segmentation on the clean vibration acceleration sequence to extract time-frequency domain features, and synchronously extracting the thermal flow gradient change rate features of the inertial measurement component kernel, and cascading and combining them into a holographic intrinsic state descriptor; the present application aims to solve the problems in the prior art, such as low positioning accuracy and poor stability of the combined navigation system, caused by the problems of the tunneling machine under vibration and impact working conditions, such as non-synchronization of heterogeneous sensor data, vibration rectification error and thermal hysteresis effect caused thereby, model misalignment caused by sudden geological changes, integral error accumulation, and decline of long-period operation model generalization ability.

The invention provides an industrial Internet of Things system based on a vehicle lamp mold and an execution method, and the system comprises a data transmission layer, an equipment layer, and a system application layer, and the data transmission layer is used for achieving data collection, data transmission and data safety; the equipment layer is used for monitoring the mold and interacting with the data transmission layer; and the system application layer is used for realizing full-life-cycle management of a message queue center and equipment. And full-link data closed-loop management is realized through cooperation of the Internet of Things equipment and the cloud. According to the invention, the overall system crash is avoided through modularized independent upgrading and expansion capability; heterogeneous technology stacks are compatible and flexibly adapted; a decentralized high-availability architecture reduces the failover time; and data security and privacy isolation are enhanced, so that the risk of data leakage in supply chain collaboration is reduced.

The invention discloses a GSM-R (Global System for Mobile Communications-Railway) network monitoring data geographic rasterization method, which introduces a railway rasterization (encapsulation) concept, sequentially performs small-distance cutting on a railway line to form railway grids, and then belongs the GSM-R network monitoring data to the corresponding railway grids, so that accurate positioning of a network abnormal index problem road section can be realized, and the accuracy of the network abnormal index problem is improved. The working intensity and the working efficiency of field maintenance and optimization personnel are reduced, and problem road sections and related problem communities are quickly positioned.