Data collection, processing and management platform for diagnosing and analyzing safety data of hydrogen charging station

Abstract

A data collection, processing and management platform for diagnosing and analyzing safety data of a hydrogen charging station is provided. The data platform according to an embodiment of the present invention comprises: a data collection module for collecting safety data of a hydrogen charging station; a data core module for processing the collected safety data and loading same in a DB; and a data diagnosis and analysis module which accesses the DB of the data core module so as to acquire the safety data, and which detects an anomaly from the acquired safety data. Therefore, the safety data of the hydrogen charging station can be smoothly diagnosed and analyzed such that safety accidents of the hydrogen charging station can be prevented and safety management through equipment predictive maintenance is possible.

Description

A data collection, processing, and management platform for diagnosing and analyzing hydrogen charging station safety data.

[0001] The present invention relates to a data platform, and more particularly, to a platform that collects necessary data from external systems and platforms for anomaly detection in safety data of a hydrogen charging station, processes the data in an analyzable form, and manages the results of safety data diagnosis and analysis.

[0002] For stable operation, a platform is needed to collect, preprocess, detect anomalies, and store / manage data generated at hydrogen charging stations, where accident prevention and predictive maintenance are crucial.

[0003] However, there is a lack of interfaces and related systems that can collect various types of safety data from the various sensors and hydrogen charging station monitoring systems installed at actual hydrogen charging stations.

[0004] In addition, there is a need for a process that provides the results of hydrogen charging station safety data diagnosis and analysis (number of abnormal data, location of occurrence, etc.) as feedback to safety management demanders (hydrogen charging station operators, hydrogen charging station safety management organizations, etc.) so that they can be utilized for safety accident prevention and facility predictive maintenance.

[0005] The present invention has been devised to solve the above problems, and the purpose of the present invention is to provide a data collection, processing, and management platform that performs the collection of heterogeneous safety data, loading of collected safety data into a DB, detection of safety data anomalies, and provision of anomaly detection results for the diagnosis and analysis of safety data of hydrogen charging stations.

[0006] According to one embodiment of the present invention for achieving the above purpose, a data platform includes a data collection module for collecting safety data of a hydrogen charging station; a data core module for processing the collected safety data and loading it into a database; and a data diagnosis and analysis module for accessing the database of the data core module to acquire safety data and detecting anomalies from the acquired safety data.

[0007] The data collection module may include communication interfaces for collecting heterogeneous safety data.

[0008] Communication interfaces may include standard network interfaces for safety data collection and safety data type-specific adapters.

[0009] Heterogeneous safety data can be determined based on the type of abnormality to be detected in the data diagnosis and analysis module.

[0010] The data core module can manage data collection cycles and manage history and statistical information on hydrogen charging station safety data loaded into the database.

[0011] The data diagnosis and analysis module can detect whether an anomaly occurs from safety data by using at least one of pattern analysis, regression analysis, statistical analysis, and deep learning models.

[0012] The data diagnosis and analysis module can visualize anomaly detection results and provide them to the target system or platform.

[0013] According to another aspect of the present invention, a data processing method is provided, characterized by including the steps of: collecting safety data of a hydrogen charging station; processing the collected safety data and loading it into a DB; and accessing the DB of a data core module to acquire safety data and detecting anomalies from the acquired safety data.

[0014] As described above, according to embodiments of the present invention, it is possible to smoothly perform diagnosis and analysis of hydrogen charging station safety data through a data collection, processing, and management platform that performs collection of heterogeneous safety data, loading of collected safety data DB, detection of safety data anomalies, and provision of anomaly detection results, thereby enabling safety management through prevention of hydrogen charging station safety accidents and predictive maintenance of equipment.

[0015] In particular, it is possible to collect various types of safety data based on standard network interfaces (HTTP, MQTT, RDBMS, OneM2M system, etc.), perform diagnosis and analysis, and provide diagnosis and analysis results. By specifying a collection, processing, and management system for heterogeneous safety data, safety data can be utilized in various fields such as real-time monitoring of hydrogen charging stations, safety management, and operational efficiency.

[0016] Figure 1 is a hydrogen charging station safety data platform according to one embodiment of the present invention;

[0017] Figure 2 shows the interface structure of the data collection module.

[0018] Figure 3 shows the functions of the data diagnosis and analysis module.

[0019] FIG. 4 is a flowchart for explaining a method for processing safety data at a hydrogen charging station according to another embodiment of the present invention.

[0020] Hereinafter, the present invention will be described in more detail with reference to the drawings.

[0021] In an embodiment of the present invention, a data collection, processing, and management platform for diagnosing and analyzing safety data of a hydrogen charging station is proposed.

[0022] This is a data platform that collects necessary data from external systems and platforms for anomaly detection in hydrogen charging station safety data (hydrogen gas mass, hydrogen gas flow rate, hydrogen gas temperature, hydrogen gas pressure, etc.), processes it into an analysis-ready format, and manages the results of safety data diagnosis and analysis.

[0023] In particular, the data platform presented in the embodiment of the present invention provides various data collection interfaces capable of collecting hydrogen charging station safety data from external systems and platforms, and supports processing by data type and performing data anomaly detection.

[0024] Additionally, it has an interface and process for loading hydrogen charging station safety data diagnosis and analysis results into a database, managing real-time abnormality detection status and statistical information, and providing feedback on the number of abnormal data and the location of occurrence.

[0025] FIG. 1 illustrates a "Hydrogen Charging Station Safety Data Collection, Processing, and Management Platform" (hereinafter, abbreviated as "Hydrogen Charging Station Safety Data Platform") according to one embodiment of the present invention. As illustrated in FIG. 1, the hydrogen charging station safety data platform according to an embodiment of the present invention is configured to include a data collection module (110), a data core module (120), and a data diagnosis and analysis module (130).

[0026] The data collection module (110) provides a communication interface for collecting heterogeneous safety data generated at a hydrogen charging station. The interface structure of the data collection module (110) is illustrated in Fig. 2.

[0027] The data collection module (110) supports a standard network interface for collecting hydrogen charging station safety data and an adapter for each type of safety data, as illustrated in FIG. 2.

[0028] Standard network interfaces may include Hyper Text Transfer Protocol (HTTP), Message Queueing Telemetry Transport (MQTT), and other standard network interfaces.

[0029] Adapters by type may include Open API (Application Programming Interface), RDBMS (Relational Data Base Management System) adapters, and Legacy platform adapters, as shown in Figure 1.

[0030] The heterogeneous safety data collected by the communication interfaces of the data collection module (110) are determined according to the type of abnormality to be detected by the data diagnosis and analysis module (130) described later.

[0031] Furthermore, the data collection module (110) determines the data packet structure and whether to use a VPN (Virtual Private Network) for user security according to the network environment in which the external system performing data exchange is operating, the supported protocol, the data storage format, etc.

[0032] Referring again to Figure 1, the description is made. The data core module (120) performs necessary preprocessing on the hydrogen charging station safety data collected by the data collection module (110), loads it into a DB, and provides the loaded hydrogen charging station safety data to the data diagnosis and analysis module (130).

[0033] The data core module (120) functions as a data relay server between the data collection module (110) and the data diagnosis and analysis module (130), and for this purpose, manages the data collection cycle and manages history and statistical information on the hydrogen charging station safety data loaded in the DB.

[0034] Furthermore, the data core module (120) can also visualize the status information and statistical information of the hydrogen charging station safety data loaded in the DB and provide it as information to users / administrators.

[0035] The data diagnosis and analysis module (130) accesses the database of the data core module (120) to acquire hydrogen charging station safety data and detects abnormalities from the acquired safety data. The functions performed by the data diagnosis and analysis module (130) are schematically illustrated in FIG. 3.

[0036] As illustrated, the data diagnosis and analysis module (130) accesses the DB of the data core module (120) to acquire the necessary hydrogen charging station safety data (①), then performs data purification necessary for data analysis (②), and configures it into the required data model (③).

[0037] Thereafter, the data diagnosis and analysis module (130) detects whether an abnormality occurs from the hydrogen charging station safety data using pattern analysis, regression analysis, statistical analysis, deep learning models, etc. (④).

[0038] Deep learning models can detect anomalies by analyzing correlations between safety data measured from each facility at a hydrogen charging station (gas supply trailer, intermediate storage tank, low / medium / high pressure compressors, gas coolers, and charging dispensers). For example, anomalies can be detected when the hydrogen gas pressure or temperature at a specific facility differs from that of another facility.

[0039] And the data diagnosis and analysis module (130) visualizes the anomaly detection results and provides them to users / administrators, and stores status information and statistical information on anomaly detection in the DB (⑤).

[0040] Furthermore, the data diagnosis and analysis module (130) can provide information on anomaly detection stored in the DB to the service target system or platform (⑥).

[0041] FIG. 4 is a flowchart for explaining a method for processing safety data at a hydrogen charging station according to another embodiment of the present invention.

[0042] As shown, first, the data collection module (110) collects heterogeneous safety data generated at a hydrogen charging station through various communication interfaces and transmits them to the data core module (120) (S210).

[0043] Then, the data core module (120) performs necessary preprocessing on the hydrogen charging station safety data collected in step S210 (S220), and then loads the hydrogen charging station safety data into the DB and provides the hydrogen charging station safety data to the data diagnosis and analysis module (130) (S230).

[0044] The data diagnosis and analysis module (130) analyzes the hydrogen charging station safety data provided in step S220 to detect anomalies (S240), visualizes the abnormality detection results and provides them to users / administrators (S250), and also provides them to external systems / platforms (S260).

[0045] So far, we have described in detail a preferred embodiment of a data collection, processing, and management platform for hydrogen charging station safety data diagnosis and analysis.

[0046] The components and essential functions of the hydrogen charging station safety data collection, processing, and management platform presented in the embodiments of the present invention can be expanded depending on the type and scope of safety data. For example, in addition to hydrogen gas mass flow rate, pressure, and temperature, the ON / OFF status of connecting valves between facilities (for flow control or safety incident response) can also be considered as safety data. In such cases, functions for collecting control signal data and linking it to data diagnosis and analysis can be added.

[0047] Meanwhile, it goes without saying that the technical idea of ​​the present invention can also be applied to a computer-readable recording medium containing a computer program that performs the functions of the device and method according to the present embodiment. In addition, the technical idea according to various embodiments of the present invention can be implemented in the form of computer-readable code recorded on a computer-readable recording medium. The computer-readable recording medium can be any data storage device that can be read by a computer and store data. For example, the computer-readable recording medium can be a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical disk, a hard disk drive, etc. In addition, the computer-readable code or program stored on the computer-readable recording medium can be transmitted through a network connected between computers.

[0048] In addition, although the preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and various modifications can be made by a person having ordinary skill in the art to which the present invention pertains without departing from the gist of the present invention as claimed in the claims, and such modifications should not be understood individually from the technical idea or prospect of the present invention.

Claims

1. Data collection module that collects safety data of hydrogen charging stations; A data core module that processes the collected safety data and loads it into a DB; and A data platform characterized by including a data diagnosis and analysis module that accesses the DB of a data core module to acquire safety data and detects abnormalities from the acquired safety data.

2. In claim 1, The data collection module is A data platform comprising communication interfaces for collecting heterogeneous safety data.

3. In claim 2, Communication interfaces are, A data platform comprising a standard network interface for safety data collection and adapters for each type of safety data.

4. In claim 1, Heterogeneous safety data, A data platform characterized by the types of abnormalities to be detected in the data diagnosis and analysis module.

5. In claim 1, The data core module is A data platform characterized by managing data collection cycles and managing history and statistical information on hydrogen charging station safety data loaded into a database.

6. In claim 1, The data diagnostics and analysis module is A data platform characterized in that it detects the occurrence of anomalies from safety data using at least one of pattern analysis, regression analysis, statistical analysis, and deep learning models.

7. In claim 6, The data diagnostics and analysis module is A data platform characterized by visualizing anomaly detection results and providing them to target systems or platforms.

8. Step for collecting safety data of hydrogen charging stations; A step of processing the collected safety data and loading it into the DB; and A data processing method characterized by including a step of accessing a DB of a data core module to acquire safety data and detecting anomalies from the acquired safety data.

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