Metro station energy consumption management system based on big data analysis

Abstract

The invention relates to a metro station energy consumption management system based on big data analysis, and the system comprises an electric power monitoring host which is used for collecting the electric power data of electric equipment at the lower end of a 400V switch cabinet of a metro station; the intelligent electric meter is used for collecting power utilization data of an environment control electric control room and a station lighting power distribution room of the subway station; the intelligent water meter is used for collecting water consumption data of the subway station; the station energy consumption management platform is connected to the electric power monitoring host, the intelligent electric meter and the intelligent water meter, and the station energy consumption management platform is used for receiving data sent by the electric power monitoring host, the intelligent electric meter and the intelligent water meter and analyzing the energy consumption use condition of the subway station according to the received data. And the energy consumption data of the subway station can be comprehensively collected in real time through the electric power monitoring host, the intelligent electric meter and the intelligent water meter, so that the incompleteness and non-timeliness of the energy consumption data are avoided, and the hysteresis and inaccuracy of an energy consumption management decision are avoided.

Description

Technical Field

[0001] The present application relates to the technical field of energy consumption analysis of subway stations, and specifically to a subway station energy consumption management system based on big data analysis. Background Art

[0002] Subway is a kind of urban rail transit system, also known as underground railway or rail transit. It is a dedicated track laid underground or on the ground, on which powered vehicles travel. Subway system usually consists of multiple stations and lines, connecting various areas of the city. In the total operating cost of the subway, the energy consumption cost of subway stations accounts for a large proportion. However, in the existing subway energy consumption management system, due to technical defects in data collection, transmission, storage and processing, it is impossible to form a complete and real-time energy consumption data chain, resulting in incompleteness and untimeliness of energy consumption data, which in turn leads to lag and inaccuracy in energy consumption management decisions. Summary of the invention

[0003] In view of the above problems, the present application provides a subway station energy consumption management system based on big data analysis to solve the incompleteness and untimeliness of energy consumption data in the existing subway station energy consumption management system, which leads to the lag and inaccuracy of energy consumption management decisions.

[0004] To achieve the above objectives, the inventor provides a subway station energy consumption management system based on big data analysis, comprising:

[0005] A power monitoring host, which is used to collect power data of electrical equipment at the lower end of a 400V switch cabinet in a subway station;

[0006] Smart meters, which are used to collect electricity consumption data from the environmental control room and lighting distribution room of subway stations;

[0007] Smart water meters, which are used to collect water usage data at subway stations;

[0008] The station energy consumption management platform is connected to the power monitoring host, smart electricity meter and smart water meter. The station energy consumption management platform is used to receive data sent by the power monitoring host, smart electricity meter and smart water meter, and analyze the energy consumption of the subway station based on the received data.

[0009] In some embodiments, the station energy consumption management platform is also used to classify and itemize energy consumption data of subway stations and to create energy consumption charts.

[0010] In some embodiments, the station energy consumption management platform includes an access layer, which is used for terminal users to access the station energy consumption management platform through a computer browser or a mobile device, and to obtain data collected by a smart terminal.

[0011] In some embodiments, the station energy consumption management platform includes a front-end UI, which is a view layer in the MVC mode. The front-end UI is used to obtain data updates and realize interaction between views and models.

[0012] In some embodiments, the station energy consumption management platform includes a display layer, which is used to render the template engine and dynamically display the corresponding view layer on the front-end IU according to different business uses.

[0013] In some embodiments, the station energy consumption management platform includes a business layer, which is used to integrate and manage application components through a unified bus service. The application components include user permissions, resource management, data statistical analysis, data reports, resource monitoring and system logs.

[0014] In some embodiments, the station energy consumption management platform includes a data layer, which is used to add, delete, modify and query data in the database and pass the data to the upper business layer.

[0015] In some embodiments, the station energy consumption management platform includes a database, and the database includes a relational database, a non-relational database, and an in-memory database;

[0016] The relational database is used to store user basic information, related business basic information, system basic information and control management information of intelligent terminal devices;

[0017] The non-relational database is used to store various types of data reported by smart terminal devices;

[0018] The memory-type database is used to store hot information data of the station energy consumption management platform.

[0019] In some embodiments, the smart water meter includes a temperature sensor and a pressure sensor.

[0020] In some embodiments, the smart meter is a NB-IoT three-phase meter.

[0021] Different from the existing technology, the above technical scheme collects the power data of the electrical equipment at the lower end of the 400V switch cabinet of the subway station in real time through the power monitoring host, and sends it to the station energy consumption management platform, collects the power consumption data of the environmental control control room and the lighting distribution room of the subway station through the smart meter, and sends it to the station energy consumption management platform, collects the water use data of the subway station through the smart water meter, and sends the water use data to the station energy consumption management platform, and the station energy consumption management platform analyzes the energy consumption of the subway station according to the power data sent by the power monitoring host, the power consumption data sent by the smart meter and the water use data sent by the smart water meter. The power monitoring host, the smart meter and the smart water meter can comprehensively and real-timely collect the energy consumption data of the subway station to avoid the incompleteness and untimeliness of the energy consumption data. The station energy consumption management platform can accurately analyze the energy consumption of the subway station to avoid the lag and inaccuracy of energy consumption management decisions.

[0022] The above-mentioned records related to the invention content are only an overview of the technical solution of the present application. In order to enable ordinary technicians in the field to more clearly understand the technical solution of the present application, and then implement it according to the text of the specification and the contents recorded in the drawings, and to make the above-mentioned purpose and other purposes, features and advantages of the present application easier to understand, the following is an explanation in combination with the specific implementation mode and drawings of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The drawings are only used to illustrate the principles, implementation methods, applications, characteristics and effects of the specific embodiments of the present application and other related contents, and shall not be considered as limitations of the present application.

[0024] In the drawings of the specification:

[0025] Figure 1 A schematic diagram of the structure of a subway station energy consumption management system based on big data analysis according to a specific implementation method;

[0026] Figure 2 This is a schematic diagram of the architecture of the station energy consumption management platform described in the specific implementation method;

[0027] Figure 3 A schematic diagram of the front-end UI described in the specific implementation method.

[0028] The reference numerals in the above drawings are described as follows:

[0029] 110. Power monitoring host,

[0030] 120. Smart meters,

[0031] 130. Smart water meter,

[0032] 140. Station energy consumption management platform. DETAILED DESCRIPTION

[0033] In order to explain in detail the possible application scenarios, technical principles, specific schemes that can be implemented, and the purposes and effects that can be achieved, the following is a detailed description of the specific embodiments listed in conjunction with the accompanying drawings. The embodiments described herein are only used to more clearly illustrate the technical solutions of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0034] Reference to "embodiment" herein means that the specific features, structures or characteristics described in conjunction with the embodiment may be included in at least one embodiment of the present application. The term "embodiment" appearing in various places in the specification does not necessarily refer to the same embodiment, nor does it particularly limit its independence or association with other embodiments. In principle, in the present application, as long as there is no technical contradiction or conflict, the various technical features mentioned in the embodiments can be combined in any way to form a corresponding implementable technical solution.

[0035] Unless otherwise defined, the technical terms used in this document have the same meanings as those generally understood by those skilled in the art to which this application belongs; the use of relevant terms in this document is only for describing specific embodiments and is not intended to limit this application.

[0036] In the description of this application, the term "and / or" is an expression used to describe the logical relationship between objects, indicating that three relationships may exist, for example, A and / or B, which means: A exists, B exists, and A and B exist at the same time. In addition, the character " / " in this article generally indicates that the objects before and after are in an "or" logical relationship.

[0037] In the present application, terms such as “first” and “second” are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship of quantity, priority or sequence between these entities or operations.

[0038] Without further limitations, in this application, the words "include", "comprises", "has" or other similar expressions used in the sentences are intended to cover non-exclusive inclusion. These expressions do not exclude the presence of additional elements in the process, method or product including the elements, so that the process, method or product including a series of elements may include not only those limited elements, but also other elements not explicitly listed, or also include elements inherent to such process, method or product.

[0039] Similar to the understanding in the Examination Guidelines, in this application, expressions such as "greater than", "less than", "exceed" and the like are understood to exclude the number itself; expressions such as "above", "below", "within" and the like are understood to include the number itself. In addition, in the description of the embodiments of this application, "multiple" means more than two (including two), and similar expressions related to "multiple" are also understood in this way, such as "multiple groups", "multiple times", etc., unless otherwise clearly and specifically limited.

[0040] In the description of the embodiments of the present application, space-related expressions used, such as "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "vertical", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicate the orientation or position relationship based on the orientation or position relationship shown in the specific embodiments or drawings, and are only for the convenience of describing the specific embodiments of the present application or facilitating the reader's understanding, and do not indicate or imply that the referred device or component must have a specific position, a specific orientation, or be constructed or operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.

[0041] Unless otherwise expressly specified or limited, in the description of the embodiments of the present application, the terms such as "install", "connect", "connect", "fix", "set", etc. used should be understood in a broad sense. For example, the "connection" can be a fixed connection, a detachable connection, or an integrated setting; it can be a mechanical connection, an electrical connection, or a communication connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. For technicians in the technical field to which the present application belongs, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0042] The existing subway station energy consumption management system lacks electricity and water consumption data, and is unable to conduct real-time analysis and accurately locate abnormal energy consumption points, and is unable to effectively monitor and manage energy consumption.

[0043] 1. Data missing problem:

[0044] The lack of electricity and water consumption data makes it impossible to conduct real-time monitoring and analysis.

[0045] The incompleteness of the data makes it difficult for the system to form an accurate energy consumption assessment report.

[0046] Lack of real-time data support makes it impossible to detect and respond to abnormal energy consumption in a timely manner.

[0047] Cause Analysis:

[0048] It may be due to a failure of the acquisition device or sensor that some data failed to be successfully recorded or transmitted.

[0049] Packet loss occurs during data transmission, and the integrity and reliability of the data cannot be ensured.

[0050] There are technical defects or configuration problems in the data storage or processing system, resulting in data not being stored correctly or being lost.

[0051] 2. Unable to accurately locate abnormal energy consumption points:

[0052] The lack of detailed energy consumption data makes it impossible to accurately locate the specific location of energy consumption anomalies.

[0053] Only macro-level energy consumption assessment can be performed, and there is a lack of in-depth analysis and exploration of micro-level energy consumption situations.

[0054] Cause Analysis:

[0055] The existing monitoring systems have insufficient resolution and accuracy to provide sufficiently detailed energy consumption data.

[0056] The lack of advanced data analysis and positioning algorithms makes it impossible to accurately locate energy consumption anomalies in space and trace their causes.

[0057] The monitoring system has limited coverage and fails to fully cover all key energy-consuming equipment and areas.

[0058] 3. Inability to effectively monitor and manage energy consumption:

[0059] The incompleteness and untimeliness of energy consumption data lead to delayed and inaccurate energy management decisions.

[0060] It is impossible to grasp the changing trends and abnormal situations of various energy consumption in real time, which affects the formulation and implementation of energy-saving and consumption-reduction measures.

[0061] Existing systems are difficult to support refined management of energy consumption optimization and energy-saving strategies.

[0062] Cause Analysis:

[0063] Technical defects in data collection, transmission, storage and processing make it impossible to form a complete and real-time energy consumption data chain.

[0064] The system lacks advanced data analysis and processing capabilities and fails to fully utilize big data and artificial intelligence technologies to optimize energy consumption.

[0065] The existing system architecture may be too outdated and unable to adapt to the current high requirements of energy consumption management, and urgently needs to be upgraded and transformed.

[0066] See also Figure 1This embodiment provides a subway station energy consumption management system based on big data analysis, including:

[0067] A power monitoring host 110, which is used to collect power data of electrical equipment at the lower end of a 400V switch cabinet in a subway station;

[0068] A smart meter 120, which is used to collect electricity consumption data of the environmental control room and the lighting distribution room of the subway station;

[0069] A smart water meter 130, which is used to collect water usage data of a subway station;

[0070] The station energy consumption management platform 140 is connected to the power monitoring host 110, the smart electricity meter 120 and the smart water meter 130. The station energy consumption management platform 140 is used to receive data sent by the power monitoring host 110, the smart electricity meter 120 and the smart water meter 130, and analyze the energy consumption of the subway station based on the received data.

[0071] The power data of the electrical equipment at the lower end of the 400V switch cabinet of the subway station is collected in real time through the power monitoring host 110 and sent to the station energy consumption management platform 140. The power consumption data of the environmental control room and the lighting distribution room of the subway station are collected through the smart meter 120 and sent to the station energy consumption management platform 140. The water consumption data of the subway station is collected through the smart water meter 130 and sent to the station energy consumption management platform 140. The station energy consumption management platform 140 analyzes the energy consumption of the subway station according to the power data sent by the power monitoring host 110, the power consumption data sent by the smart meter 120 and the water consumption data sent by the smart water meter 130. The power monitoring host 110, the smart meter 120 and the smart water meter 130 can comprehensively and real-timely collect the energy consumption data of the subway station to avoid the incompleteness and untimeliness of the energy consumption data. The station energy consumption management platform 140 can accurately analyze the energy consumption of the subway station to avoid the lag and inaccuracy of energy consumption management decisions.

[0072] Among them, by adding the power monitoring host 110, the advertising light box, lighting, AFC, communication, signal, FAS, current, voltage, active power, and reactive power data at the bottom of the original 400V switch cabinet of the station are collected and transmitted to the station energy consumption management system for analysis. The integrated monitoring host is mainly suitable for power environment monitoring applications in data centers and small and medium-sized computer rooms. The monitoring host provides a rich local interface and has a very high degree of integration. The host has built-in telephone, SMS, and email alarm functions, and has multiple RS-485 bus interfaces, multiple switch quantity and analog quantity interfaces; the host has a built-in LoRa gateway, which can greatly simplify the wiring of sensor nodes; the host has a built-in 4G module and supports 4G network transmission. The computer room monitoring host can monitor: city power, UPS, ordinary air conditioning, temperature, humidity, water leakage, fresh air fan, dehumidifier, fire protection, smoke, access control, infrared human body detection, etc. The monitoring host can be networked for centralized monitoring or a single host can be operated independently. The deployment is simple and convenient, and the operation is stable and reliable.

[0073] Through the transformation, the data of the environmental control room at both ends of the station A and B and the lighting distribution room (electricity consumption) of the station are collected by adding smart meters 120, and then transmitted to the station energy consumption management system for analysis through the smart monitoring host. Smart meter 120 adopts NB-IoT three-phase meter, which not only has the basic metering function of traditional meter, but also has the functions of energy saving, monitoring, communication, and anti-theft. NB-IoT three-phase meter is a new type of electric energy meter designed and manufactured with advanced low-power integrated circuit technology and SMT process. It has anti-creep logic circuit and anti-theft function, and can measure current current, voltage, power, power factor, frequency and other data. It also has a touch button wheel display function. Press the button for 5 seconds to clear the interval power function at any time. The unique NB-IOT communication function can realize remote query and control, which is convenient to replace the role of traditional meter. The I / O interface of smart meter 120 can be connected with more external devices.

[0074] The smart water meter 130 (water meter for short) used in the upgrade and transformation has the functions of various sensors such as temperature sensor and pressure sensor. It uses advanced ultrasonic measurement technology and is used to measure the flow of water in the pipeline. The water meter can communicate with other sensors through the M-BUS interface and RS-485 interface. The protocol follows the MODBUS protocol (RTU format) or 188 protocol. If the user makes a clear request when ordering, the data communication of the water meter can support the user-defined protocol.

[0075] The station energy consumption management platform 140 is designed based on the B / S architecture, which is the current development direction of the application platform and has the characteristics of strong distribution, easy maintenance and strong sharing. The system combines intelligent equipment with intelligent software to classify and itemize the energy consumption of water, electricity and other energy consumption and energy consumption data, and establish a real energy consumption chart. In the process of supervision, it can timely discover abnormal changes in the use of energy consumption. If the meter generates energy consumption data, there may be leakage and power shortage. The intelligent station energy consumption management platform 140 is convenient for the management department to further strengthen supervision and management, ensure that the station achieves the effect of energy conservation and emission reduction, and establish and improve various systems such as energy efficiency evaluation, energy use standards, and energy consumption statistics.

[0076] In some embodiments, the station energy consumption management platform 140 is also used to classify and sub-itemize energy consumption data of the energy consumption of subway stations and to establish energy consumption charts. The architecture of the station energy consumption management platform 140 includes an access layer. Through the access layer, on the one hand, it supports the use scenarios of terminal users, that is, terminal users can access the system through computer browsers or mobile devices to obtain various services provided by the system; on the other hand, it supports data communication scenarios of smart terminal devices, that is, smart terminal devices report various types of data collected by the device to the system through 2G / 3G / 4G, Zigbee, Lora, NB-IoT, Bluetooth and other communication methods, providing data sources for system data analysis, data mining and other services.

[0077] See also Figure 2 In some embodiments, the station energy consumption management platform 140 includes an access layer, which is used for terminal users to access the station energy consumption management platform 140 through a computer browser or a mobile device, and to obtain data collected by a smart terminal.

[0078] See also Figure 2-3 In some embodiments, the station energy consumption management platform 140 includes a front-end UI, which is the view layer in the MVC model. The front-end UI is used to obtain data updates and realize the interaction between the view and the model. The architecture of the station energy consumption management platform 140 includes a front-end UI, that is, the view layer in the MVC model, which is the guarantee of the beautiful system interface. The system is built on VUE, which is a JavaScript framework for creating user interfaces and a Web application framework for creating single-page applications. The core of VUE is the view layer in the MVC model. At the same time, it can also easily obtain data updates and realize the interaction between the view and the model through specific methods inside the component.

[0079] See also Figure 2In some embodiments, the station energy consumption management platform 140 includes a display layer, which is used to render the template engine, and dynamically display the corresponding view layer on the front-end IU according to different services. The rendering of the template engine is realized through the display layer, and the interaction between the view and the model in the MVC mode is realized, so that different view layers are dynamically displayed on the user interface according to different services; and by using Ajax technology, the web application can quickly present incremental updates on the user interface without reloading (refreshing) the entire page, which enables the program to respond to user operations more quickly.

[0080] See also Figure 2 In some embodiments, the station energy consumption management platform 140 includes a business layer, which is used to integrate and manage application components through a unified bus service, and the application components include user rights, resource management, data statistics and analysis, data reports, resource monitoring and system logs. The business layer is the basic guarantee for system construction. After the design of the relevant service-oriented architecture, the relevant application components including user rights, resource management, data statistics and analysis, data reports, resource monitoring, system logs and other application modules are effectively integrated and managed through a unified bus service.

[0081] See also Figure 2 In some embodiments, the station energy consumption management platform 140 includes a data layer, which is used to add, delete, modify and query data in the database, and pass the data to the upper business layer. The data layer is the guarantee of the system's data resources, responsible for adding, deleting, modifying and querying data in the database, and passing the data to the upper business logic layer for processing; the data layer is only responsible for performing corresponding operations in the database, and does not care about the source of the parameters, nor does it care about the operations to be performed on the read data. Therefore, in the data layer, only methods are defined to implement related operations, and the required data is passed through the business logic layer.

[0082] See also Figure 2 In some embodiments, the station energy consumption management platform 140 includes a database, and the database includes a relational database, a non-relational database, and an in-memory database;

[0083] The relational database is used to store user basic information, related business basic information, system basic information and control management information of intelligent terminal devices;

[0084] The non-relational database is used to store various types of data reported by smart terminal devices;

[0085] The memory-type database is used to store hot information data of the station energy consumption management platform 140 .

[0086] Databases mainly include relational databases, non-relational databases and in-memory databases; among them, relational databases store information mainly including user basic information, related business basic information, system basic information, control and management information of smart terminal devices, etc.; non-relational databases mainly store various types of data reported by smart terminal devices. Since they are stored in a document manner, there are no strict requirements on the data format, which greatly expands the scalability of data storage types, allowing the system to easily and efficiently store various types of data reported by smart terminal devices in binary form, and make it highly available, scalable, and easy to use; in-memory databases mainly store the system's hot information data. Since these data are stored in memory, the data reading and writing speed of memory is several orders of magnitude higher than that of disks (traditional databases). Storing data in memory can greatly improve the performance of system applications compared to accessing it from disk.

[0087] See also Figure 2 In some embodiments, the operating environment of the station energy consumption management platform 140 is cross-platform; it can be deployed on a public cloud (including Alibaba Cloud, Huawei Cloud, Tencent Cloud, etc.) with Linux or Windows systems installed, an independent server, or a virtual host created by a third party.

[0088] The subway station equipment operation data collection system is interconnected with other professional systems of the station to collect information from each system. Through computer network technology, big data collection and analysis, intelligent operation and maintenance, Internet of Things and other technologies, it can realize centralized monitoring and display of most important equipment in the entire station. The energy-saving transformation of the Internet of Things in subway stations can greatly reduce operating costs and greatly improve the work efficiency of staff.

[0089] Finally, it should be noted that although the above embodiments have been described in the specification and drawings of this application, this does not limit the scope of patent protection of this application. All technical solutions generated by replacing or modifying equivalent structures or equivalent processes based on the essential concept of this application using the contents recorded in the specification and drawings of this application, as well as directly or indirectly implementing the technical solutions of the above embodiments in other related technical fields, are included in the scope of patent protection of this application.

Claims

1. A subway station energy consumption management system based on big data analysis, characterized in that: include: A power monitoring host, which is used to collect power data of electrical equipment at the lower end of a 400V switch cabinet in a subway station; Smart meters, which are used to collect electricity consumption data from the environmental control room and lighting distribution room of subway stations; Smart water meters, which are used to collect water usage data at subway stations; The station energy consumption management platform is connected to the power monitoring host, smart electricity meter and smart water meter. The station energy consumption management platform is used to receive data sent by the power monitoring host, smart electricity meter and smart water meter, and analyze the energy consumption of the subway station based on the received data.

2. The subway station energy consumption management system based on big data analysis according to claim 1 is characterized in that: The station energy consumption management platform is also used to classify and itemize energy consumption data of subway stations and to create energy consumption charts.

3. The subway station energy consumption management system based on big data analysis according to claim 1 is characterized in that: The station energy consumption management platform includes an access layer, which is used for terminal users to access the station energy consumption management platform through a computer browser or a mobile device, and to obtain data collected by an intelligent terminal.

4. The subway station energy consumption management system based on big data analysis according to claim 1 is characterized in that: The station energy consumption management platform includes a front-end UI, which is a view layer in the MVC mode. The front-end UI is used to obtain data updates and realize interaction between views and models.

5. The subway station energy consumption management system based on big data analysis according to claim 4 is characterized in that: The station energy consumption management platform includes a display layer, which is used to render the template engine and dynamically display the corresponding view layer on the front-end IU according to different business uses.

6. The subway station energy consumption management system based on big data analysis according to claim 1 is characterized in that: The station energy consumption management platform includes a business layer, which is used to integrate and manage application components through a unified bus service. The application components include user permissions, resource management, data statistical analysis, data reports, resource monitoring and system logs.

7. The subway station energy consumption management system based on big data analysis according to claim 1 is characterized in that: The station energy consumption management platform includes a data layer, which is used to add, delete, modify and query data in the database and pass the data to the upper business layer.

8. The subway station energy consumption management system based on big data analysis according to claim 1 is characterized in that: The station energy consumption management platform includes a database, and the database includes a relational database, a non-relational database and an in-memory database; The relational database is used to store user basic information, related business basic information, system basic information and control management information of intelligent terminal devices; The non-relational database is used to store various types of data reported by smart terminal devices; The memory-type database is used to store hot information data of the station energy consumption management platform.

9. The subway station energy consumption management system based on big data analysis according to claim 1 is characterized in that: The smart water meter includes a temperature sensor and a pressure sensor.

10. The subway station energy consumption management system based on big data analysis according to claim 1 is characterized in that: The smart meter is a NB-IoT three-phase meter.

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