CN-122026600-A - Fine monitoring and intelligent analysis system and method for comprehensive energy station of plateau railway

CN122026600ACN 122026600 ACN122026600 ACN 122026600ACN-122026600-A

Abstract

The invention discloses a system and a method for finely monitoring and intelligent analysis of a comprehensive energy station of a plateau railway, wherein the system is based on a station control system of a charging and replacing station to construct a unidirectional data transmission standard and a unified interface standard, so as to realize standardized access of multi-source heterogeneous data, a layered framework with cooperative cloud edge ends is adopted to construct a unified data index base, so as to realize comprehensive monitoring and management of the running state, assets, orders, alarms and environments of the energy station.

Inventors

Zhao Haicen
Huai chuang
LIU CHAOPENG
ZHANG FAN
LEI MINGYU
YANG FUJUN
REN JINKAI
LI BINGTIAN
YAO JINGCHUAN
WANG TENGXIAO
JIANG XIANGJUN
CHEN JINGZE
Geng Xinchen

Assignees

川藏铁路技术创新中心有限公司
中国国家铁路集团有限公司

Dates

Publication Date: 20260512
Application Date: 20260129

Claims (10)

1. The utility model provides a comprehensive energy station of plateau refined control and intelligent analysis system for comprehensive energy station of plateau railway, its characterized in that includes: the data interface module is used for constructing a unidirectional data transmission standard and a unified interface specification based on a charging and exchanging station control system, defining a multi-class data set interface and carrying out standardized access on multi-source heterogeneous data; The cloud-side-end cooperative architecture module comprises a sensing layer and an edge node which are responsible for data acquisition and edge control, a network layer which is responsible for multi-network fusion transmission, a data layer which is responsible for data fusion and storage, an application layer which is responsible for service function realization and a display layer which is responsible for information display, wherein loose coupling cooperation is carried out between the layers through a service bus; The parameter data management module establishes a unified data index base containing environment data, power exchange station asset data, power exchange transaction order data, power exchange state data and alarm information data parameters, and performs standardized management and application on the data; And the function configuration module is used for configuring various function modules based on the unified data index library in the application layer and the parameter data management module of the cloud-side-end collaborative architecture module through the information acquired by the data interface module.
2. The system for finely monitoring and intelligently analyzing the integrated energy stations of the plateau railway according to claim 1, wherein the multi-class data set interface defined in the data interface module comprises today's data uploading, accumulated data uploading, charging record uploading, charging bin information uploading, power change order data uploading, equipment fault data uploading, equipment monitoring data uploading and video monitoring integration, and seamless docking with different station control systems is realized through each interface.
3. The system for finely monitoring and intelligently analyzing the integrated energy stations of the plateau railway according to claim 1, wherein edge nodes in the cloud-side-end cooperative architecture module are deployed on a construction site to perform real-time processing, protocol conversion, edge calculation and real-time control on local data.
4. The system for finely monitoring and intelligently analyzing the integrated energy station of the plateau railway as recited in claim 3, wherein the cloud-side-end collaborative architecture module further comprises a cloud platform and a terminal sensing device, the cloud platform is deployed in a data center for big data storage, macro analysis, model training and visualization, and the terminal sensing device comprises a charging pile, a power exchange station, a BMS battery management system, an environment sensor and a vehicle positioning device.
5. The system for finely monitoring and intelligently analyzing the comprehensive energy stations of the plateau railway according to claim 1, wherein the functional modules in the functional configuration module comprise an alarm management module, an asset management module, a state detection module and an environment detection module, and the functions of charging and changing assets statistics, transaction order accounts, real-time state monitoring, environment monitoring and threshold early warning, fault alarm statistics and tracing, data-driven energy supplementing dispatching and energy efficiency/fuel economy analysis are realized.
6. The method for finely monitoring and intelligently analyzing the comprehensive energy station of the plateau railway is realized based on the system for finely monitoring and intelligently analyzing the comprehensive energy station of the plateau railway according to any one of claims 1-5, and is characterized by comprising the following steps: Step S1, acquiring data in real time based on terminal sensing equipment deployed on a charging pile, battery replacement equipment, a BMS battery management system, an environment sensor, a video monitoring device and a vehicle positioning device; Step S2, transmitting the acquired data to an edge node arranged near a station control system of the power exchange station to perform protocol conversion, denoising, calibration and formatting; step 3, transmitting the data after edge processing to a cloud platform through a cloud-side-end collaborative architecture module network layer, establishing a data priority mechanism, and reporting key states and alarm information; s4, establishing a unified index library of information data through a cloud platform, performing multi-source data fusion and time sequence management on energy station data, and performing centralized storage and unified modeling on multi-source heterogeneous data; S5, processing data based on a unified index library and a plurality of configured functional modules and deeply fusing plateau parameters; And S6, in the construction process, when new energy equipment enters an energy station for energy supplement, the system automatically recognizes the identity of the vehicle, and in combination with battery data and environment monitoring data uploaded by the BMS battery management system, an edge node and a cloud platform cooperatively calculate and output an optimal energy supplement strategy.
7. The method for finely monitoring and intelligently analyzing the integrated energy station of the plateau railway according to claim 6, wherein the environmental sensor in the step S1 is a plateau special environment sensor, and the collected data comprise the operation state of construction equipment, the operation parameters of the energy station and the data of the plateau special environment.
8. The method for fine monitoring and intelligent analysis of integrated energy stations for plateau railways as claimed in claim 6, wherein the multi-source data fusion in step S4 specifically comprises the following steps: step S41, cleaning and aligning the collected data, and dividing the data types, wherein the data comprises static data and dynamic time sequence data, and the dynamic time sequence data comprises numerical time sequence data, text data and image video data; Step S42, for numerical time sequence data, performing time stamp alignment and outlier processing, performing size normalization and denoising on image video data, and performing word segmentation and stop word removal on text data; and step S43, respectively preprocessing the image and text data and extracting the characteristics, and converting the original data from different sources into high-quality and aligned characteristic representations.
9. The method for fine monitoring and intelligent analysis of integrated energy stations for plateau railways as set forth in claim 6, wherein said step S43 specifically includes: Extracting image mode characteristics from image video data, combining a multi-scale texture structure tensor and a CNN depth convolution neural network, calculating texture direction and intensity information of an image under different scales through multi-scale pyramid decomposition, adaptively selecting three scales with the maximum product of entropy and contrast as characteristic extraction scales, and extracting deep semantic characteristics by using CNNs of non-uniform distribution convolution kernels; Extracting text modal characteristics from text data, dynamically weighting based on semantic role labels and word vectors, determining semantic role weights of words in the text through the semantic role labels, constructing a dynamic weighting matrix according to a syntactic structure and semantic dependency relation, and carrying out weighted combination on the word vectors to form characteristic representation of the text; The cross-modal characteristics are fused, the attention coefficient is calculated by adopting an additive attention coefficient method based on a cross-attention mechanism, and the input text characteristics are obtained And image features Respectively sending the query features into a cross attention module for calculation And key features Splicing, and normalizing by a multi-layer sensor and softmax to obtain attention coefficient Predicting the correlation between two mode features and taking attention to the coefficient And key feature Multiplying and summing to obtain the final complementary feature Representing query features Key features from another modality Finally, the query features and the complementary features are combined Adding to obtain the characteristics of the respective mode enhancement, wherein the calculation formula is expressed as follows: ; ; ; Wherein, the And Respectively representing a text feature and an image feature, The number of the positions of the attention coefficient on the feature map is represented.
10. The method for finely monitoring and intelligently analyzing the integrated energy station of the plateau railway according to claim 6, wherein the step S6 is further characterized in that when the abnormality of new energy equipment is detected, alarm information is generated in real time, a cloud platform is reported, fault classification, statistics and tracing are completed, an operation and maintenance work order is formed and pushed to a mobile terminal, and closed-loop management is achieved.

Description

Fine monitoring and intelligent analysis system and method for comprehensive energy station of plateau railway Technical Field The invention relates to the technical field of railway energy management, in particular to a system and a method for finely monitoring and intelligently analyzing a comprehensive energy station of a plateau railway. Background Along with the acceleration of plateau railway construction, new energy construction equipment becomes a main construction force, and energy supplementing of the new energy construction equipment is highly dependent on a comprehensive energy station. However, the plateau environment has the characteristics of low temperature, low air pressure, low oxygen content, strong ultraviolet rays, high wind speed and the like, and has higher requirements on the running reliability of the energy station and the suitability of a monitoring system. The existing energy station monitoring system is mainly based on plain scene reconstruction, and has the following problems: The data interface lacks unified standard, and the integration difficulty is great across manufacturers. The existing system does not form unified data access standard, station control systems of charging and replacing stations of different manufacturers such as national electric power supply, national electric network and the like have obvious difference in data format, so that data cannot be directly integrated, in order to realize data docking, an adaptive module is required to be independently developed for different manufacturers, the access efficiency is low, the adaptive function is required to be repeatedly developed when the manufacturers are newly added subsequently, and the maintenance cost and the expansion difficulty of the system are greatly increased. The monitoring function is not covered fully, and the critical dimension is missing. The conventional system fails to cover key functions such as environment monitoring, power distribution management, asset management and the like due to the fact that basic indexes such as the number of times of charging and changing, the amount of charged electricity and the like are focused, and the system cannot be linked with the environment temperature to adjust a charging strategy due to the fact that a low-temperature environment is taken as an example, so that battery capacity is attenuated at a high altitude and low temperature, and damage risks of batteries and charging equipment are increased. The key parameters specific to the plateau are not included, and the monitoring coverage rate is low. The conventional system only covers common parameters of plain such as temperature, humidity and the like, and does not bring parameters such as specific oxygen content, pressure intensity, extreme wind speed and the like of a plateau into a monitoring range, so that the monitoring coverage rate of key parameters is low, for example, the low oxygen content can obviously reduce the heat dissipation efficiency of equipment, and the system cannot give an early warning to the low oxygen content, so that the overheat fault of a charger is easily caused, and the operation stability of an energy station is influenced. The data support capability is weak, and service operation decision-making is difficult (data islanding problem exists). The data storage of the existing system is in a scattered state, charging and battery replacement data, equipment operation data and environment monitoring data are managed in a database, unified integration and linkage analysis are lacked, effective data support cannot be provided for new energy equipment energy supplementing dispatching and oil-electricity economy cost analysis, the actual dispatching is dependent on manual experience, quantitative basis is lacked in cost analysis, and fine operation is difficult to achieve. The alarm mechanism is not sound and there is a lag in the fault response. The existing system can only feed back basic fault information such as offline equipment, cannot accurately distinguish fault types, lacks functions such as fault duration statistics and automatic fault tracing, so that the fault checking efficiency is low, the fault checking time is long, the energy supplementing continuity of an energy station is seriously affected, and the construction progress of a plateau railway can be delayed. Therefore, a comprehensive energy station monitoring system which is specially adapted to a plateau scene and realizes multi-source data fusion and intelligent analysis is needed. Disclosure of Invention Aiming at the technical problems, the invention provides a system and a method for finely monitoring and intelligently analyzing a comprehensive energy station of a plateau railway, which are used for overcoming the defects of the existing monitoring system of the comprehensive energy station of the plateau railway in terms of data integration, functional coverage and environment adaptation. The invention is