Remote digital cloud platform

Abstract

The invention discloses a remote digital cloud platform, and the platform comprises an equipment layer which is composed of a plurality of Internet of Things terminal equipment, and is used for the collection and action execution; the edge layer is used for connecting the equipment layer and the network layer, converting data generated in the equipment layer into network data and transmitting the network data to the network layer; the data layer is used for processing, analyzing and storing the data sent by the edge layer; the business layer is used for analyzing, calculating and storing various data according to business scenes, and carrying out data processing, business rule execution and transaction management; and the application layer is used for providing a plurality of services and protocols to support the operation of network applications, providing various functional modules and a third-party access system to call data, and connecting a user terminal. Data collection and transmission of heating equipment are achieved through the Internet of Things technology, intelligent analysis and visual display of equipment vital sign data are achieved through cloud computing, and meanwhile energy consumption optimization is achieved by combining real-time data and modeling algorithm analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of remote monitoring and management, and in particular to a remote digital cloud platform. Background Art

[0002] Container house, also known as container mobile house, refers to a simple residence with windows and doors that is mainly made of containers as basic materials and has been transformed.

[0003] With the advancement of science and technology and economy, container houses with solar power generation and equipped with all kinds of furniture and appliances have become a new hot spot in the field of mobile houses. This type of container house is basically self-sufficient in electricity. It only needs to be connected to a water source and a sewage tank to be put into normal use. If the environment permits, it can also be connected to the mains as a supplement. At the same time, this type of container house has its own power management system, which can realize the reasonable distribution or switching of electricity according to actual conditions. However, the management system can usually only manage one container house, that is, there is a lack of a unified management database and standards, which is not conducive to the management classification and retrieval of multi-project photovoltaic power generation / energy storage systems; there is a lack of effective remote problem handling methods, which is not conducive to the optimization and improvement of operation and maintenance and cost saving; there is a lack of organic integration with other energy-consuming equipment and scenarios, which is not conducive to the cascade utilization, priority use, and multi-purpose development of renewable energy; there is a lack of effective extension of the use of the green energy industry chain, which is not conducive to the further development of the benefits of excess green energy. Summary of the invention

[0004] In order to solve the defects in the prior art, the present invention provides a remote digital cloud platform, which is specifically implemented by the following technical solutions: A remote digital cloud platform, including a device layer, composed of several IoT terminal devices, responsible for data collection and action execution; The edge layer is used to connect the device layer and the network layer, convert the data generated in the device layer into network data and pass it to the network layer; The data layer is used to process, analyze and store the data sent by the edge layer; The business layer is used to analyze, calculate, and store various types of data according to business scenarios, and to perform data processing, business rule execution, and transaction management; The application layer provides a number of services and protocols to support the operation of network applications, provides various functional modules, services for third-party access systems to retrieve data, and connects to user terminals.

[0005] The equipment layer includes an energy management terminal, which is electrically connected to the photovoltaic component through a first line. The energy management terminal is also electrically connected to the energy storage component through a fourth line. The energy storage component is also electrically connected to the household load through a seventh line. The household load is connected to the water tank through a first pipeline, and the water tank is connected to the swimming pool through a second pipeline, and is connected to the floor heating, the fan disk, and the domestic hot water end through a third pipeline.

[0006] The energy management terminal is connected to the mains via the second line and the third line, both of which are equipped with electricity meters; the second line is used to transmit excess electrical energy to the mains grid, and the third line uses the mains grid to supplement the power of this system.

[0007] The household loads include a charging pile, a washing machine, a computer, an air energy heat pump, various monitoring devices, a swimming pool machine, and a temperature and humidity sensor. The swimming pool is connected to the swimming pool machine through a fourth pipeline.

[0008] The air energy heat pump is connected to the water tank through a first pipeline.

[0009] The system also includes a remote control terminal, which is connected to an energy management terminal, an electric meter, an energy storage component, a micro wind power generation component, a micro hydropower generation component, a household load, floor heating, a wind disk, and a domestic water terminal.

[0010] The device also includes a micro wind power generation component and / or a micro water turbine power generation component electrically connected to the energy management terminal.

[0011] The edge layer adopts AnyLink edge computing gateway.

[0012] The data layer includes a data processing module and a data storage module. The data processing module includes an offline computing engine, an industrial data stream real-time analysis submodule and a general search engine. The data storage module includes a relational database, a non-relational database, an in-memory database and an image database.

[0013] The business layer is configured with a main data module, an alarm data module, an energy-saving data module, an inspection data module, a maintenance data module and a configuration data module.

[0014] The technical solution of the present invention has the following advantages: It realizes the intelligent management of multiple connections and multiple supplies of each subsystem, which can quickly evaluate and screen the user's usage scenarios and energy-saving management solutions, and improve the energy efficiency and quality of life of users; It has promoted the innovation and development of energy-saving and emission-reduction technologies and expanded the application areas and scenarios of new energy and renewable energy; It provides a convenient and beneficial tool and resource for the research and convenience of maintenance operations, reducing the labor and cost of operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a structural schematic diagram of the present invention; Figure 2 It is a schematic diagram of the connection relationship of various devices of the present invention. DETAILED DESCRIPTION

[0017] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the modules or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0019] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0020] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0021] As attached Figure 1As shown, the present invention provides a database of a remote digital cloud platform system, which is used to store and manage the parameters of each subsystem, operating conditions, memory curve fitting and application information, and reserves multiple ports for connection with smart homes; An evaluation system for each subsystem, which is used to quantitatively and qualitatively evaluate the recognition and response capabilities of each subsystem and single device, and generate evaluation indicators for each subsystem; A screening system for each subsystem, which can realize all system functions according to the needs and conditions of users, or operate and demand each subsystem independently. It can meet the screening needs and recommendation solutions of different users for some elements of the system; A superposition and synthesis system of each single project system, which monitors and records the status of each sub-project in the whole system in real time and realizes the recording and fitting of each sub-project.

[0022] A large-capacity remote operation and maintenance system is used to realize online information exchange and sharing of problem discovery, alarm, work order management, remote solutions, etc. for each sub-project and sub-system.

[0023] By utilizing artificial intelligence and big data Internet of Things technologies, a comprehensive, accurate and updated database of multiple sub-projects, sub-systems and equipment units has been established, providing a basis for the management, retrieval, operation and maintenance of projects within the system.

[0024] By using machine autonomous learning and computational methods, a scientific, objective and reliable evaluation system for projects within the system was established, providing a basis for project evaluation and process system optimization.

[0025] By using intelligent algorithms and multi-objective optimization methods, an efficient, flexible and intelligent screening system for each subsystem has been established, which provides a solution for users to select and recommend functions within the system that are suitable for their own scenarios.

[0026] Using intelligent automation technology, a fast, precise and controllable remote operation and maintenance system has been established, providing a platform for rapid maintenance and repair response.

[0027] Using IoT technology, a secure, convenient, and open multi-port system has been established, providing channels for users' existing smart home access and applications.

[0028] Specifically, it includes device layer, edge layer, network layer, data layer, business layer and application layer.

[0029] The device layer is the basic layer in the IoT architecture, which is mainly responsible for collecting data from the physical world and executing physical actions. The device layer consists of various IoT terminal devices, which can be sensors, actuators, smart devices or other embedded systems. In the device layer, devices realize the interaction between the IoT system and the physical world by collecting environmental information or performing specific actions.

[0030] In this embodiment, the devices in the device layer and the connection relationship between the devices are as shown in the attached Figure 2 As shown, it includes an energy management terminal, which is electrically connected to the photovoltaic component through a first line, and is electrically connected to the mains through a second line and a third line, and electric meters are installed on the second line and the third line; the second line is used to transmit excess electric energy to the mains power grid, and the third line uses the mains power grid to supplement the power of this system.

[0031] The energy management terminal is also electrically connected to the energy storage component via a fourth line.

[0032] The energy storage component is electrically connected to the micro wind power generation component and the micro hydro turbine power generation component through the fifth line and the sixth line respectively.

[0033] At least one of the photovoltaic components, micro wind power generation components and micro hydropower generation components should be selected.

[0034] The energy storage component is also electrically connected to household loads through the seventh line, where the household loads include charging piles, washing machines, computers, air energy heat pumps, various monitoring, swimming pool machines, temperature and humidity sensors and other loads.

[0035] The air energy heat pump is connected to the water tank through a first pipeline, the water tank is connected to the swimming pool through a second pipeline, and is connected to the floor heating, the fan disk, and the domestic hot water terminal through a third pipeline.

[0036] The swimming pool is connected to the swimming pool machine through a fourth pipeline.

[0037] It also includes a remote control terminal, which is electrically connected to the energy management terminal, electric meter, energy storage component, micro wind power generation component, micro hydropower generation component, household load, floor heating, wind disk, domestic water terminal, water tank, swimming pool, etc., and is used to monitor the status of each device and can send corresponding control information.

[0038] The edge layer is an important concept in modern network architecture, especially in the Internet of Things (IoT) and cloud computing architecture. It refers to the layer that directly interacts with the physical world at the end of the network, that is, near the data source and the user end. Devices in the edge layer include various sensors, smart terminals, edge gateways, etc. These devices can directly collect, process and transmit data without sending all data to the cloud for processing.

[0039] In this embodiment, the edge layer is used to connect the device layer and the network layer, convert the data generated in the device layer into network data and pass it to the network layer. Setting up the edge layer can reduce latency, reduce bandwidth requirements, improve data security, enhance privacy protection and improve reliability.

[0040] In this embodiment, the edge layer uses AnyLink edge computing gateway. AnyLink edge computing gateway is an intelligent gateway device with integrated edge computing capabilities. It is mainly used in scenarios such as Industrial Internet of Things (IIoT), smart cities, and smart transportation to achieve localized data processing, analysis, and decision-making; it supports a variety of industrial and Internet of Things protocols, such as Modbus, EtherCAT, OPC-UA, etc., to achieve interconnection between different devices.

[0041] By using AnyLink edge computing gateway to collect data from sensors, devices and other data sources, and perform preliminary cleaning, filtering and conversion, more accurate data can be provided for subsequent analysis.

[0042] The network layer is used to send the data generated by the edge layer to the data layer. The network layer uses 4G, 5G, wifi, gprs, NB-IoT, LoRaWAN and other methods to achieve data transmission.

[0043] The data layer is used to process, analyze and store the data sent by the edge layer.

[0044] The data layer includes a data processing module and a data storage module. The data processing module is used to process the data sent by the network layer according to the set rules and generate the predetermined results, while the data storage module stores all the data and processing results.

[0045] The data processing module includes an offline computing engine for batch processing of acquired data, an industrial data stream real-time analysis submodule, and a general search engine. The industrial data stream real-time analysis submodule processes and analyzes the large amount of data generated by the device layer from various sensors, devices, and systems in real time, and the general search engine is used to search for target data.

[0046] The data storage module includes relational database, non-relational database, memory database and image database.

[0047] The business layer analyzes, calculates, and stores various types of data based on business scenarios. It is located between the data layer and the application layer and is responsible for core functions such as data processing, business rule execution, and transaction management.

[0048] The business layer is configured with master data module, alarm data module, energy-saving data module, inspection data module, maintenance data module and configuration data module. The master data is the data related to the gateway, equipment and user.

[0049] The alarm data is the edge computing gateway's judgment of the device monitoring data based on the preset judgment rules, and the data is triggered when the conditions are met.

[0050] Maintenance data includes the planned time, content, and personnel of maintenance.

[0051] Configuration data includes system global parameters, gateway parameters, user information and other object configurations.

[0052] The application layer is directly facing users and applications, providing a series of services and protocols to support the operation of network applications, various functional modules, and services for third-party access systems to retrieve data. It is used to connect to user terminals and display terminal data, icon results, etc. to users.

[0053] It includes a real-time data module, which is used to display the real-time status of each device; an energy-saving management module, which is used to perform energy-saving management on each device at the device layer; a network management module, which is responsible for monitoring, configuring, maintaining and optimizing the network system to ensure the stability, security and efficient operation of the network; a fault ticket module, which is specifically used to record, track and solve various technical faults or problems; an energy-saving report module, which is used to collect, analyze and display data on energy usage and energy-saving and emission reduction effects; an API interface, which provides data reading and writing channels for front-end UI interaction and third-party applications.

[0054] In this embodiment, it can be divided into photovoltaic power generation and energy storage system, wind power generation and photovoltaic power generation complement each other, hydropower generation and photovoltaic and diesel power generation complement each other, and power generation / electronic consumption system complementary to the above subsystems, heat pump heating / cooling and domestic hot water trigeneration subsystem + and realization of swimming pool insulation and constant temperature, charging of surplus power / valley power of power grid, energy storage, hydrogen production from surplus power / valley power, heat storage of surplus power / valley power (hot water heat storage, phase change heat storage), etc.

[0055] The present invention provides a remote digital cloud platform intelligent management method, including collecting and recording the status of subsystem equipment for all management subsystems in the system, analyzing and recording the patterns of household or office electricity consumption, such as peaks and troughs, by using various parameters such as power generation, power consumption, and power storage, so as to reasonably allocate electricity for households and offices, maximize the use of green electricity and valley electricity, save energy and reduce carbon emissions, and maximize benefits.

[0056] For photovoltaic power generation: During the day, there is a solar power generation mode, and the electricity generated by the PV panels is used first for local loads (such as heat pumps in winter / summer, charging of daily household appliances such as refrigerators, computers, televisions, and new energy electric vehicles, etc.). If there is any surplus electricity, it is used to charge the battery, and finally the remaining part is transmitted to the municipal power grid.

[0057] In the night-time no-sunlight mode, since there is no PV photovoltaic power generation at night, the energy stored in the battery and the power grid jointly supply power to the local load. The program is set to give priority to the energy stored in the battery, and then draw power from the grid when the power is insufficient. The control method is automatically realized through sensor induction.

[0058] According to calculations, the power generation of a 5KW solar photovoltaic system in winter is not enough to meet household electricity needs, and it may be necessary to supplement it with electricity from the Internet.

[0059] In other seasons when the heat pump is not in operation, the power generated by the 5KW solar photovoltaic system is used first for household electricity needs, and the surplus power is stored in the battery, and then the remaining power is transmitted to the grid.

[0060] Off-grid operation mode: In this operation mode (without grid power), only the uninterruptible load interface such as monitoring has AC output, and the PV photovoltaic power generation and battery storage energy only power the off-grid load.

[0061] In the economic operation mode, when there is a peak-valley electricity price, a mandatory time period is set during the valley electricity period for the grid to charge the battery (generally up to 6 stages can be set), and the charging time and power are adjustable.

[0062] The heat pump subsystem collects and uses the outdoor weather and indoor temperature, and realizes automatic and intelligent operation of the heat pump system by pre-setting the automatic correction temperature curve. It also determines the load required for indoor heating and cooling and automatically corrects the early curve.

[0063] The test is carried out in contrast; since the geographical location, ambient temperature, humidity, light, etc. have an impact on the operation of the equipment in the system, the corresponding outdoor temperature, humidity, outdoor weather, indoor temperature and other parameters are set for collection and the operation curve is corrected, fitted and simulated.

[0064] An example of a heat pump temperature profile operation is as follows: The system controls the heat pump to automatically and intelligently operate and record corrections based on the pre-imported operating curve, comparing it with weather conditions, indoor temperature, humidity and other parameters, while predicting and adjusting future energy (cooling or heating).

[0065] Winter operation is as follows:

[0066] Summer operation is as follows:

[0067] The relationship between outdoor temperature, indoor temperature, humidity and rainy / snowy days is comprehensively considered, and intelligent fine-tuning and recording are performed for fitting and trend prediction.

[0068] The system achieves the best complementarity between photovoltaic power generation and household electricity consumption. The system can achieve self-generation and self-use through the installed photovoltaic components, energy storage equipment and energy manager, and the surplus power can be connected to the grid or not connected to the grid or in off-grid mode.

[0069] The power supply mode can realize multiple scenario application modes such as grid-connected and off-grid.

[0070] The system can also realize the complementary or independent use of wind power generation, hydropower generation, grid power, diesel power generation, etc. according to the actual situation of wind resources and hydropower resources in the scene.

[0071] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A remote digital cloud platform, characterized in that: It includes the device layer, which is composed of several IoT terminal devices and is responsible for data collection and action execution; The edge layer is used to connect the device layer and the network layer, convert the data generated in the device layer into network data and pass it to the network layer; The data layer is used to process, analyze and store the data sent by the edge layer; The business layer is used to analyze, calculate, and store various types of data according to business scenarios, and to perform data processing, business rule execution, and transaction management; The application layer provides a number of services and protocols to support the operation of network applications, provides various functional modules, services for third-party access systems to retrieve data, and connects to user terminals.

2. The remote digital cloud platform according to claim 1, characterized in that: The equipment layer includes an energy management terminal, which is electrically connected to the photovoltaic component through a first line. The energy management terminal is also electrically connected to the energy storage component through a fourth line. The energy storage component is also electrically connected to the household load through a seventh line. The household load is connected to the water tank through a first pipeline, and the water tank is connected to the swimming pool through a second pipeline, and is connected to the floor heating, the fan disk, and the domestic hot water end through a third pipeline.

3. The remote digital cloud platform according to claim 2, characterized in that: The energy management terminal is connected to the mains via the second line and the third line, both of which are equipped with electricity meters; the second line is used to transmit excess electrical energy to the mains grid, and the third line uses the mains grid to supplement the power of this system.

4. The remote digital cloud platform according to claim 2, characterized in that: The household loads include a charging pile, a washing machine, a computer, an air energy heat pump, various monitoring devices, a swimming pool machine, and a temperature and humidity sensor. The swimming pool is connected to the swimming pool machine through a fourth pipeline.

5. The remote digital cloud platform according to claim 4, characterized in that: The air energy heat pump is connected to the water tank through a first pipeline.

6. The remote digital cloud platform according to claim 2, characterized in that: The system also includes a remote control terminal, which is connected to an energy management terminal, an electric meter, an energy storage component, a micro wind power generation component, a micro hydropower generation component, a household load, floor heating, a wind disk, and a domestic water terminal.

7. The remote digital cloud platform according to claim 2, characterized in that: The device also includes a micro wind power generation component and / or a micro water turbine power generation component electrically connected to the energy management terminal.

8. The remote digital cloud platform according to claim 1, characterized in that: The edge layer adopts AnyLink edge computing gateway.

9. The remote digital cloud platform according to claim 1, characterized in that: The data layer includes a data processing module and a data storage module. The data processing module includes an offline computing engine, an industrial data stream real-time analysis submodule and a general search engine. The data storage module includes a relational database, a non-relational database, an in-memory database and an image database.

10. The remote digital cloud platform according to claim 1, characterized in that: The business layer is configured with a main data module, an alarm data module, an energy-saving data module, an inspection data module, a maintenance data module and a configuration data module.

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