System and method for intelligent management of energy and computing device

Abstract

The invention provides a system and a method for intelligent management of energy and computing equipment, which are used for management of energy data. The system is of a four-level architecture and comprises a first level, a second level, a third level and a fourth level, and the first level is responsible for data storage, processing and analysis; the second hierarchy adopts a data transmission method, and data transmission is carried out between the first hierarchy and the third hierarchy; the third level performs data transmission with the second level through an uplink communication interface, performs calculation and management of energy data by using an edge calculation device, and performs data transmission with the fourth level through a downlink communication interface; and the fourth level performs data acquisition through an energy monitoring terminal. According to the technical scheme of the invention, the method has the advantages of high compatibility and expansibility, real-time updating of the monitoring data, improvement of the energy management and control level, substantial improvement of the user experience, realization of rapid fault positioning and recovery, optimization of resource configuration, cost saving and energy consumption reduction.

Description

Technical Field

[0001] The present invention relates to the field of software development, and in particular to a system and method and computing equipment for intelligent energy management. Background Art

[0002] Smart grid is the development direction of future power system. Smart grid requires comprehensive monitoring, control and management of power system to improve the reliability, safety and efficiency of power grid. As an important part of smart grid, energy system can realize remote monitoring, control and management of power load, providing technical support for the realization of smart grid. With the rapid development of economy and continuous progress of society, the demand for electricity continues to grow. This puts forward higher requirements for the stable operation and reliable power supply of power system, and requires advanced systems to monitor and control power load in real time.

[0003] To this end, a technical solution is needed that has strong compatibility and scalability, can update monitoring data in real time, improve energy management and control levels, significantly improve user experience, achieve rapid fault location and recovery, optimize resource allocation, save costs and reduce energy consumption. Summary of the invention

[0004] The present invention aims to provide a system, method and computing device for intelligent energy management, which can have strong compatibility and scalability, update monitoring data in real time, improve the level of energy management and control, significantly improve user experience, achieve rapid fault location and recovery, optimize resource allocation, save costs and reduce energy consumption.

[0005] According to one aspect of the present invention, a system for intelligent energy management is provided, wherein the system is a four-level architecture, comprising a first level, a second level, a third level and a fourth level, wherein:

[0006] The first level configuration is:

[0007] Responsible for data storage, processing and analysis;

[0008] Provide a visual energy management interface;

[0009] The second level configuration is:

[0010] Using at least one data transmission method to perform data transmission between the first layer and the third layer;

[0011] The third level configuration is:

[0012] Performing data transmission with the second layer via an uplink communication interface;

[0013] Use edge computing devices to calculate and manage energy data;

[0014] Performing data transmission with the fourth layer via a downlink communication interface;

[0015] The fourth level configuration is:

[0016] Data collection is carried out through energy monitoring terminals.

[0017] According to some embodiments, the first level is further configured to:

[0018] Store data in a cloud database;

[0019] Performing big data analysis and machine learning through the data in the cloud database;

[0020] Send data, function commands and control instructions to the third level.

[0021] According to some embodiments, the third level is further configured to:

[0022] The edge computing device collects energy data information of the terminal device through the serial port line;

[0023] The energy data information is stored in a data center of the edge computing device.

[0024] According to some embodiments, the third level is further configured to:

[0025] The computing module in the edge computing device reads the energy data information from the data center and performs calculations;

[0026] The algorithm module in the edge computing device makes a decision based on the energy data information;

[0027] The edge computing device reports the analysis results to the first layer and receives control commands issued by the first layer.

[0028] According to some embodiments, the third level is further configured such that: the edge computing device provides local control and decision support for the fourth level.

[0029] According to some embodiments, the third level is further configured to:

[0030] The smart energy unit collects and controls data through a three-layer structure of software application, basic support and hardware module.

[0031] According to some embodiments, the third level interacts through an interactive interface, and the interactive interface includes:

[0032] A permanent display interface, wherein the permanent display interface displays the real-time energy load value of the total addition group, the total addition group load curve, the set value of the control parameter that has been put into operation, the current control parameter that has been put into operation, the current number of control rounds that have been put into operation, the current remote signaling status information, the system clock and the status diagram of each channel;

[0033] Login interface, which is used to provide a user login entrance;

[0034] An energy management interface, which is used to monitor and control energy performance and energy efficiency;

[0035] The demand side response interface is used to display the current energy usage and the current demand side response event information.

[0036] According to another aspect of the present invention, there is provided a method for intelligent energy management for managing energy data, the method comprising:

[0037] Perform the following operations through the first level:

[0038] Responsible for data storage, processing and analysis;

[0039] Provide a visual energy management interface;

[0040] The second level performs the following operations:

[0041] Using at least one data transmission method to perform data transmission between the first layer and the third layer;

[0042] The third level performs the following operations:

[0043] Performing data transmission with the second layer via an uplink communication interface;

[0044] Data collection and control are performed through the smart energy unit consisting of a three-layer structure of software application, basic support and hardware module;

[0045] Use edge computing devices to calculate and manage energy data;

[0046] Performing data transmission with the fourth layer via a downlink communication interface;

[0047] Perform the following operations through the fourth level:

[0048] Data collection is carried out through energy monitoring terminals.

[0049] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the method as described above is implemented.

[0050] According to another aspect of the present invention, there is provided a computing device, comprising:

[0051] Processor; and

[0052] A memory stores a computer program, and when the computer program is executed by the processor, the method described in any one of the above items is implemented.

[0053] According to an embodiment of the present invention, a four-level architecture is used to realize functions such as data collection, data storage, analysis and calculation, event recording, information feedback, and load control. The first level is responsible for data storage, processing and analysis, and provides a visual energy management interface; the second level channel adopts at least one data transmission method to transmit data between the first level and the third level; the third level transmits data with the second level through an uplink communication interface, uses an edge computing device to calculate and manage energy data, and transmits data with the fourth level through a downlink communication interface; the fourth level collects data through an energy monitoring terminal and for the system. The system of the present invention can have strong compatibility and scalability, update monitoring data in real time, improve the level of energy management and control, significantly improve user experience, achieve rapid fault location and recovery, optimize resource allocation, save costs and reduce energy consumption.

[0054] According to some embodiments, the present invention realizes intuitive visualization. Traditional energy management systems often present complex data tables and professional terms, which are difficult for non-professional users to understand and operate. However, the system of the present invention uses an intuitive graphical interface to display energy data in a visual way, such as bar charts, line charts, pie charts, etc., so that users can understand energy usage, trend changes, etc. at a glance.

[0055] According to some embodiments, the system of the present invention is highly interactive and can provide rich interactive functions, and users can interact with the system through operations such as clicking and sliding. Users can directly set the operating parameters, timer switches, etc. of the device on the interface without having to operate through complex command lines or professional software. At the same time, when an alarm occurs, the terminal can report an audible and visual alarm for the user to locate the fault.

[0056] According to some embodiments, the system of the present invention can provide personalized customization, and different users can customize different energy management solutions according to their own usage scenarios and needs to meet diverse needs.

[0057] According to some embodiments, the system of the present invention has the advantage of cross-platform compatibility, can be deployed on various terminals in the form of web pages, can add new energy indicator monitoring according to user needs, support more energy equipment types, etc. This flexibility enables the smart energy unit to continuously adapt to new application scenarios and needs, and maintain the advancement and competitiveness of technology.

[0058] It is to be understood that the foregoing general description and the following detailed description are exemplary only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for describing the embodiments are briefly introduced below.

[0060] Figure 1 A schematic diagram of a smart energy system is shown according to an example embodiment.

[0061] Figure 2 A flow chart showing a method of operating a smart energy system according to an example embodiment.

[0062] Figure 3 A flow chart showing data transmission according to an example embodiment is shown.

[0063] Figure 4 A schematic diagram illustrating a scheme of a smart energy system according to an example embodiment is shown.

[0064] Figure 5 A schematic diagram showing interface classification of a smart energy system according to an example embodiment.

[0065] Figure 6 A schematic diagram showing a fault handling flow according to an example embodiment.

[0066] Figure 7 A block diagram of a computing device is shown according to an exemplary embodiment. DETAILED DESCRIPTION

[0067] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted.

[0068] In addition, the described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present invention. However, those skilled in the art will appreciate that the technical solution of the present invention can be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known methods, devices, implementations or operations are not shown or described in detail to avoid blurring various aspects of the present invention.

[0069] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0070] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0071] It should be understood that although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one component from another component. Therefore, the first component discussed below can be referred to as the second component without departing from the teachings of the present inventive concept. As used herein, the term "and / or" includes any one of the associated listed items and all combinations of one or more.

[0072] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the present invention are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0073] Those skilled in the art will appreciate that the drawings are merely schematic diagrams of example embodiments, and the modules or processes in the drawings are not necessarily necessary for implementing the present invention, and therefore cannot be used to limit the protection scope of the present invention.

[0074] In recent years, the smart grid industry has received key support from national policies, and relevant departments have introduced a series of policies to promote the development and innovation of the smart grid industry. With the continuous advancement of information and digital technologies and the popularization of new energy power generation, the scale of China's smart grid market is continuing to expand. An important trend in smart grid management is digital transformation, which achieves the goals of reliable, safe, economical, efficient, environmentally friendly and safe use of the power grid by introducing advanced sensing and measurement technologies, control methods and decision support systems. Smart grid management also relies on integrated, high-speed two-way communication networks to support real-time data transmission and processing.

[0075] With the transformation of energy structure and the large-scale access of renewable energy, the stable operation of the power grid faces many uncertainties. In the management of smart grids, data monitoring, collection, calculation and storage are important challenges. The data generated by the power system is growing exponentially every day. Power companies need to face problems such as large data volume and multi-source heterogeneity. Efficient processing and storage of this data is a major pain point. Smart grid management relies on advanced technology and equipment, and technology updates and maintenance need to be more timely, which places high demands on the operation and management of power companies.

[0076] To this end, the present invention proposes a system and method for intelligent energy management, which can have strong compatibility and scalability, update monitoring data in real time, improve the level of energy management and control, significantly improve user experience, achieve rapid fault location and recovery, optimize resource allocation, save costs and reduce energy consumption.

[0077] Exemplary embodiments of the present invention are described below with reference to the accompanying drawings.

[0078] Figure 1 A schematic diagram of a smart energy system is shown according to an example embodiment.

[0079] See also Figure 1 , Figure 1 The four-level architecture of a smart energy system is shown. The system is used for managing energy data, and the system includes a first level, a second level, a third level, and a fourth level.

[0080] According to an example embodiment, the first level is configured to: be responsible for data storage, processing, and analysis; and provide a visual energy management interface.

[0081] According to some embodiments, the first level is further configured to: store data in a cloud database; perform big data analysis and machine learning through the data in the cloud database; and send data, function commands and control instructions to the third level. As a cloud platform level, the first level provides a highly reliable and secure data storage service.

[0082] According to an example embodiment, the second layer is configured to: use at least one data transmission method to perform data transmission between the first layer and the third layer.

[0083] According to some embodiments, the second level is data transmission which can adopt data transmission methods such as optical fiber, wireless private network, 5G channel and wireless virtual private network. The second level is a pipeline transmission level, which provides a data transmission channel between the first level and the third level to ensure stable data transmission.

[0084] According to an example embodiment, the third level is configured as follows: transmitting data with the second level via an uplink communication interface; calculating and managing energy data using an edge computing device; and transmitting data with the fourth level via a downlink communication interface.

[0085] According to some embodiments, the third level is further configured as follows: the edge computing device collects energy data information of the terminal device through the serial port line; and stores the energy data information in the data center of the edge computing device. The computing module in the edge computing device reads the energy data information from the data center and performs calculations; the algorithm module in the edge computing device makes decisions based on the energy data information; the edge computing device reports the analysis results to the first level and receives the control commands issued by the first level. The edge computing device provides local control and decision support for the fourth level. The smart energy unit collects and controls data through a three-layer structure of software applications, basic support, and hardware modules.

[0086] According to some embodiments, the edge computing device collects electrical data such as voltage, current, and power of the terminal equipment through a 485 serial standard (RS485) serial port line; stores the above data in a data center of the edge computing device to be read and calculated by the computing module; the algorithm module makes decisions based on the collected data to achieve effective management of the energy system; the edge computing device reports the analysis results to the cloud platform and receives control commands issued by the cloud platform.

[0087] The edge computing device transmits data to the cloud platform. After the collected data is processed and filtered by the edge computing device, the valuable data is uploaded to the cloud platform for storage and further analysis. These data can provide a rich data source for big data analysis and machine learning on the cloud platform, helping users to better understand business conditions and user needs. The cloud platform can also send data and instructions to the edge computing device. For example, the cloud platform can push updated software versions to the edge computing device to keep it up to date with the latest functions and performance. At the same time, the cloud platform can issue control instructions to edge devices according to global business needs to achieve centralized management of new load management systems.

[0088] Smart energy units collect data from the fourth level. Smart energy units use specific communication protocols to collect electrical data such as voltage, current, power, and electricity after being processed by end devices through physical interfaces such as carriers, 5G, and serial ports. The fourth level of collection is to measure the current and voltage in the circuit through built-in current transformers and voltage transformers. There are high-precision metering chips inside that can record these measurement data in real time. These metering chips are like a small data processing center that can convert the collected analog electrical signals into digital signals and perform data processing and storage. Collection content: voltage, current, electricity, etc. The end devices in the fourth level include energy meters, branch monitoring units, etc. Smart energy units are responsible for collecting these data and performing preliminary processing and analysis to reduce the burden on end devices. Edge computing devices filter, compress, aggregate, and process data to reduce data transmission and storage requirements, and reduce energy consumption and computing pressure on end devices. Smart energy units provide local control and decision support for end devices. Since edge computing devices are close to end devices, they can respond quickly to local events, achieve real-time control and decision-making, and work with end devices to improve system performance. Edge computing devices and end devices can achieve more efficient task execution through collaboration.

[0089] According to an example embodiment, the fourth level is configured as: collecting data through an energy monitoring terminal.

[0090] According to some embodiments, the end devices in the fourth layer include load devices such as charging piles, distributed power sources, and distributed energy storage, which interact with the third layer through communication methods such as RS485, Ethernet, and high-speed power line carrier (HPLC) for calculation and analysis by the third layer.

[0091] This layered architecture makes the system highly scalable and compatible. As technology develops and needs change, new end devices can be easily added or cloud platform functions can be upgraded without affecting the stability of the entire system. At the same time, different layers communicate through standardized interfaces, which improves the integration and interoperability of the system.

[0092] It can be widely used in factories, residences, office buildings and other places, with strong compatibility and scalability. Through the touch integrated screen, it can realize functions such as electric energy meter data display, radio channel change, power control parameter setting, etc., which can significantly improve the user experience, improve the level of power distribution load control, reduce energy consumption, quickly locate and restore faults, and optimize power resource allocation.

[0093] Figure 2 A flow chart showing a method of operating a smart energy system according to an example embodiment.

[0094] See also Figure 2,In S201, the fourth level collects data from user load devices through energy monitoring terminals.

[0095] According to some embodiments, the fourth level energy monitoring terminal includes collection meters, sensors, controllers, load switches, etc. The fourth level obtains data from user load devices, which include industrial interruptible loads, industrial adjustable loads, building HVAC loads, distributed power sources, distributed energy storage, charging piles, etc.

[0096] In S203, the third level obtains real-time energy data from the fourth level through a downlink communication interface.

[0097] According to some embodiments, the downlink communication interface of the third level obtains real-time energy data from the fourth level through wired methods including RS485, Ethernet, etc., wireless methods including wide area network, Bluetooth, etc., and high-speed power line carrier HPLC and high-frequency radio frequency HRF dual-mode transmission methods.

[0098] In S205, the third level performs data analysis and calculation.

[0099] The algorithm module at the third level reads the data in the data center, performs real-time analysis and calculation on the pre-processed data, and uses machine learning algorithms, statistical analysis and other methods to analyze historical data and real-time data to predict equipment failures, optimize power dispatch, etc. For example, it performs power quality analysis, equipment status monitoring, and fault diagnosis.

[0100] In S207, the third level makes decisions through the data analysis and calculation interface.

[0101] After analyzing the data at the third level, the possible fault type is determined, and then the modules are collaboratively analyzed. For example, the interface display module presents abnormal data in a visual way, provides basic information about the faulty equipment, and facilitates the operation and maintenance personnel to quickly understand the fault situation; the demand-side response module analyzes the impact of the fault on the power demand forecast based on the historical power consumption data and the current fault situation, and evaluates whether the demand-side response strategy needs to be adjusted; the energy efficiency management module analyzes the energy consumption of the faulty equipment, determines the impact of the fault on energy efficiency, and issues an early warning notification after analyzing the fault to ensure that the operation and maintenance personnel can receive the alarm information in a timely manner.

[0102] In S209 , the third level transmits data to the first level through the second level.

[0103] The smart energy unit stores abnormal data in the data center and uses algorithm modules for in-depth analysis. By comparing historical data, analyzing data trends, etc., the specific cause and severity of the fault are determined, and then some key data is transmitted to the central server or cloud platform for more in-depth analysis and global decision-making, and distributed intelligent control is achieved through collaboration.

[0104] For example, the power data of the substation is collected through voltage and current sensors, and then the data format conversion and other operations are performed to provide power data quality. Then, local decisions are made based on real-time power curve data analysis and calculations, and finally reported to the master station for collaborative control.

[0105] In S211 , the first level performs data storage and analysis.

[0106] The first layer obtains data from the third layer through the pipeline transmission of the second layer. The transmission methods of the second layer include optical fiber, wireless private network, 5G channel and wireless virtual private network.

[0107] The cloud platform stores and further analyzes valuable data, which can provide a rich data source for big data analysis and machine learning on the cloud platform, helping users better understand business conditions and user needs.

[0108] The following describes the working process of an edge computing device. The specific steps are as follows:

[0109] Step 1: Collect electrical data such as voltage, current, and power of the terminal device through the RS485 serial line. The smart energy unit plays a key role in the energy management system. It uses power protocols to establish communication connections with terminal devices such as charging piles and energy storage. Through these protocols, the smart energy unit can efficiently obtain various key parameters of the terminal device, including power consumption, power, voltage, and current. These parameters are crucial to fully understand the operating status of the energy system.

[0110] Step 2: Store the above data in the data center of the edge computing device, and wait for the computing module to read and calculate. The collected data related to the end device will be stored in the data center in the form of a database. This storage method ensures the security and accessibility of the data, and also provides rich data resources for subsequent algorithm analysis. The database can be a relational database or a non-relational database, and it can be selected and configured according to actual needs. During the data storage process, data cleaning and preprocessing can also be performed to improve the quality and availability of the data.

[0111] Step 3: The algorithm module makes decisions based on the collected data to achieve effective management of the energy system. One possible scenario execution process is as follows:

[0112] Alarm mechanism in power control state. When power control is in operation and effective, the terminal will collect total load data every hour. If the total load reaches or exceeds the power setting value corresponding to the power control period (the power is given by the master station or calculated by the parameters given by the master station), the terminal will give a load over-limit alarm according to the set alarm time to remind the user that the load is over-limit. At this time, the user should take load pressure measures in time to reduce the total power to below the current setting value. This alarm mechanism can promptly remind users of the load status of the energy system, prompt users to actively participate in energy management, and avoid system failures or energy waste due to excessive load.

[0113] Trip action after load exceeds limit. If the load exceeds the limit continuously and reaches or exceeds the power control alarm time (the alarm time is set by the master station, the default value is 3 minutes), the alarm ends and the controllable switch with the highest priority and power control in the closed position is tripped according to the tripping order. This measure is to automatically cut off part of the load when the load continues to exceed the limit to protect the safe and stable operation of the energy system. The setting of the tripping order can be adjusted according to the importance and priority of the load to ensure that the impact on critical loads is minimized.

[0114] Continuous overload handling. After tripping, if the current load is still higher than the control value, the system will execute the next round of alarms and tripping, and so on. This continuous monitoring and control mechanism can ensure that the energy system is constantly adjusted under abnormal load conditions until the load returns to a safe range. At the same time, it also reminds users to take further effective load reduction measures to avoid the adverse effects of frequent system tripping on equipment and production and life.

[0115] Step 4: The edge computing device reports the analysis results to the cloud platform and receives control commands issued by the cloud platform.

[0116] Smart energy units use multiple power protocols to establish communication connections with end devices to ensure the efficiency and accuracy of data collection. Database storage methods and data cleaning preprocessing improve data quality and availability, providing a reliable data basis for algorithm analysis. Alarm mechanisms under power control input, tripping actions after load overload, and continuous overload processing and other algorithm modules realize real-time monitoring and automatic control of energy systems. These mechanisms can promptly remind users and automatically take measures to ensure the safe and stable operation of energy systems and reduce the probability and impact of failures.

[0117] Figure 3 A flow chart showing data transmission according to an example embodiment is shown.

[0118] See also Figure 3 , at 3201, terminal device data is collected.

[0119] Smart energy units obtain data from end devices through wired and wireless transmission methods. Wired methods include RS485, Ethernet, etc., wireless methods include wide area network, Bluetooth, etc., and high-speed power line carrier HPLC and high-frequency radio frequency HRF dual-mode transmission methods can also be used.

[0120] The terminal equipment collects various data in real time, including voltage, current, power, equipment temperature, etc., through sensors installed on the power equipment, such as voltage transformers, current transformers, temperature sensors, etc.

[0121] In S303, the data is written into the data center.

[0122] After the smart energy unit acquires the data, it performs preliminary processing on the collected data, including data cleaning, denoising, format conversion, etc., to improve the data quality, and then writes the processed data to the data center, waiting for the computing module to read and calculate.

[0123] In S305, the algorithm module performs analysis based on the collected data.

[0124] The algorithm module reads the data in the data center and performs real-time analysis and calculation on the pre-processed data. For example, it performs power quality analysis, equipment status monitoring, fault diagnosis, etc. Machine learning algorithms, statistical analysis and other methods can be used to analyze historical data and real-time data, predict equipment failures, optimize power dispatch, etc.

[0125] In S307, it is determined whether a warning is generated.

[0126] Based on the analysis results, it is determined whether an energy failure has occurred and a warning is generated, and local decisions are made and control operations are performed. If a failure occurs, an interface alarm is displayed and protective measures are taken, and the results are fed back to the cloud platform. If no failure occurs, the results are fed back to the cloud platform.

[0127] In S309, an interface alarm is displayed.

[0128] If a fault occurs, the smart energy unit will issue an alarm and display the fault information through the interface display application.

[0129] In S311, the peer device takes a protection operation.

[0130] After the interface alarm is displayed, the control end device takes protective actions. For example, when a device failure is found, an alarm is issued in time and corresponding protective measures are taken; when the power demand is at a peak, the output power of distributed energy is adjusted.

[0131] In S313, the result is fed back to the cloud platform.

[0132] Transmit some key data to the central server or cloud platform for more in-depth analysis and global decision-making, and realize distributed intelligent control through collaboration.

[0133] The smart energy unit achieves effective management of charging piles, energy storage and other terminal devices through data collection, storage and algorithm analysis. Its decision-making execution process can respond to load changes in a timely manner, ensure the safe and stable operation of the energy system, and provide strong support for the realization of intelligent energy management.

[0134] The present invention automatically optimizes the power of the substation through global perception of the terminal environmental data of the distribution load management system and group intelligent calculation, and performs partial switch tripping processing on the premise of meeting the basic electricity consumption of users, thereby achieving the purpose of reducing the energy consumption of the substation and low-carbon operation. Secondly, the on-site operation and maintenance personnel are given certain permissions. On the one hand, they can intuitively see the data of the terminal equipment on the distribution load control terminal, find the branches with high power consumption, and make corresponding processing measures; on the other hand, according to the actual needs of the substation, adjust the power parameters and set them through the touch screen to improve the reliability, safety and efficiency of the power grid.

[0135] Figure 4 A schematic diagram illustrating a scheme of a smart energy system according to an example embodiment is shown.

[0136] The UI-based smart energy unit adopts a layered architecture design, including four levels: cloud, pipe, edge, and end. The first-level cloud platform is responsible for data storage, processing, and analysis, providing users with a visual energy management interface; the second-level management channel uses optical fiber, wireless private network, 5G channel, wireless virtual private network and other methods to ensure stable data transmission; the third-level edge device in this invention specifically refers to the smart energy unit to realize the collection and control of energy data; the fourth-level end device includes charging piles, distributed power supplies, distributed energy storage and other load devices, which interact with smart energy through RS485, Ethernet, HPLC and other communication methods for calculation and analysis.

[0137] The smart energy unit plays a vital role in the entire energy management system. It covers multiple key aspects, including extremely important interface display applications, demand-side response applications, orderly charging applications, and energy efficiency management applications.

[0138] The interface display application interacts with the smart energy unit main control board through message queue telemetry transmission (MQTT) to display data information, alarm status, parameter information, etc. of charging piles, electric energy meters and other equipment, and turns off the screen after 5 minutes of no operation on site, so that on-site operation and maintenance personnel can obtain energy information of the substation in time;

[0139] The demand-side response application predicts future electricity demand through historical electricity consumption data, economic indicators and other information. Accurate demand forecasting can help power system operators prepare in advance and optimize power supply. At the same time, the implementation effect of the demand-side response project is evaluated, including load reduction, user participation, power system stability and other aspects. Through evaluation, the demand-side response strategies and measures are continuously improved;

[0140] The orderly charging application can monitor the load of the power grid in real time and intelligently adjust the charging plan according to the power supply and demand conditions at different times. It can automatically start charging during the off-peak period to avoid excessive pressure on the power grid during charging during peak hours, thus achieving a reasonable allocation of power resources.

[0141] The energy efficiency management application has the ability to monitor multiple energy types at the same time to meet the needs of different users for comprehensive energy management. Whether it is the electricity of industrial enterprises or commercial buildings, the energy efficiency management module can conduct comprehensive monitoring. At the same time, the collected energy data is deeply analyzed to understand the energy usage trend, peak and valley periods, energy consumption ratios of different equipment, etc. Through data analysis, energy waste links and potential energy saving opportunities can be found.

[0142] Figure 5 A schematic diagram showing interface classification of a smart energy system according to an example embodiment.

[0143] The present invention is an edge computing device deployed on the client side under the "cloud-pipe-edge" architecture of the new power load management system. It is a device that communicates bidirectionally with user power loads, distributed energy systems, etc., and realizes functions such as data collection, data storage, analysis and calculation, event recording, information feedback, and load control. It can meet the edge business needs of the new load management system.

[0144] Traditional operation and maintenance personnel have to rely on key operations when modifying the internal parameters of smart energy units and viewing the data collected by terminal devices. This method has many disadvantages. First, the operation process is cumbersome and complicated, which greatly consumes the time and energy of operation and maintenance personnel. Secondly, the display interface is a monotonous black and white screen with poor visual effects, which is not only inconvenient for operation and maintenance personnel to obtain information quickly and accurately, but also extremely inconvenient when troubleshooting problems. The black and white screen display method lacks intuitiveness and attractiveness, making it difficult for operation and maintenance personnel to quickly distinguish key information when faced with large amounts of data and complex situations, thereby increasing the difficulty of work and the risk of errors.

[0145] To this end, the UI-based smart energy unit of the present invention embeds advanced display equipment and adopts a color touch screen to display the load data in a vivid and beautiful graphical form. This display method not only gives people a sense of pleasure visually, but more importantly, the chart can intuitively present the trends and relationships of the data, allowing operation and maintenance personnel to easily understand and analyze the data. If you want to view more detailed data, there is also an interface presented in a tabular form, which is more intuitive and clear. The tabular form can accurately display the specific values ​​of each data point, which is convenient for operation and maintenance personnel to perform accurate data analysis and comparison, so as to more efficiently troubleshoot problems and make decisions.

[0146] The main user interface (UI) of the smart energy unit consists of Figure 5 As shown, it includes a permanent display interface, a login interface and a main interface. The permanent display interface includes a load management interface, and the main interface includes an air conditioning management interface, a demand-side response interface and an orderly charging interface. The main interface is arranged on the display screen in a nine-square grid manner. When in the permanent display interface or the login page, swiping left or right can exit to the nine-square grid display interface, and other applications can be entered in this interface.

[0147] The constant display interface is the load management page. After the smart energy unit is powered on, it automatically enters this page. The current page displays the real-time load value of the total addition group 1, the load curve of the current total addition group and the set value of the control parameters that have been put into use, the currently put control parameters, the currently put control round status, the current telesignaling status information, and the current system clock displayed on the top level and the status diagram of each channel.

[0148] When technical personnel in this field need to enter important interfaces on the login interface, they need to provide a super-privileged user and password to use it. Other operation and maintenance personnel only need ordinary permissions to enter general pages such as the constant display interface and 5G module query interface.

[0149] The energy management interface is an intelligent interface for monitoring and controlling energy. First, it can display the current operating status of energy equipment in real time, including on / off status, operating mode, etc.; second, users can operate energy equipment through interactive buttons; third, the management interface can collect and analyze the operating data of the energy system, such as temperature change curves, energy consumption, etc. Through data analysis, users can understand the performance of energy equipment and energy efficiency, providing a basis for optimizing the use of equipment.

[0150] The demand-side response interface is used to display the current energy usage, including power consumption, power, voltage, current and other parameters, to provide users with accurate decision-making basis. At the same time, it can display the current demand-side response event information, including event name, time, target power reduction, etc., to reduce energy consumption and improve energy utilization efficiency.

[0151] There are two types of accounts in the smart energy unit, one is the operation and maintenance personnel account, and the other is the super user account. The account permissions are configured during development, and the user can only modify the password. On-site operation and maintenance personnel can view data, view parameters, and configure Ethernet and energy meter parameters through ordinary accounts; in addition to the operation and maintenance personnel permissions, super users can also perform power control parameter settings, password modification, and other operations. Account classification improves account security, optimizes management efficiency, and improves user experience.

[0152] The smart energy unit can display the primary and secondary data of energy equipment on the display interface. The primary data is the electrical quantity data directly from the primary equipment of the power system. The primary equipment mainly refers to the equipment directly involved in the production, transmission, distribution and consumption of electric energy, such as generators, transformers, circuit breakers, transmission lines, etc. The secondary data is the low voltage and low current signal after the mutual inductor transformation, as well as various electrical parameters, status information and control instructions obtained after processing by measuring instruments and automation systems.

[0153] The display content is updated in real time according to the changes in the telemetry values ​​of the corresponding equipment in the data center. According to the data items clicked on the screen, the historical data of the corresponding data items in the data center are read and displayed in the form of curves. This function is mainly implemented through MQTT messages, and the main topics include device information query, real-time data query and historical data query.

[0154] For example, device information query ({app} / get / request / database / register), real-time data query ({app} / get / request / database / realtime) and historical data query ({app} / get / request / database / history), the message bodies are shown in Table 1, Table 2, and Table 3:

[0155] Table 1 Device information query interface

[0156]

[0157] Table 1 is the device information query interface, which includes the device model name, port, device unique identifier, physical address, description, etc.

[0158] Table 2 Real-time data query interface

[0159]

[0160]

[0161] Table 2 is a real-time data query interface, which includes the name of the data to be queried, the unique identifier of the device, and the data center returns the current data of the device.

[0162] Table 3 Historical data query interface

[0163]

[0164] Table 3 is the historical data query interface, which includes the data name, start time, end time and device unique identifier to be queried. The data center returns all stored data within the query time.

[0165] When the algorithm module of the smart energy unit finds through calculation that the power exceeds the threshold and reaches a certain time, a pop-up window displays the trip alarm information and the Mandarin voice broadcast system pushes the event content. The alarm stops after the alarm time ends, and the screen stops displaying after 5 minutes of no operation. At the same time, the interface can automatically adjust the volume and interact with the main control board through broadcast messages. When important events such as tripping, parameter changes, and power outages of the electricity meter occur, a sound alarm is issued to prompt operation and maintenance personnel to discover faults and tripping information in time. The power threshold and time can be set by the system. If the user does not set it, there is no fixed threshold and time, and no relevant decision-making and control will be made.

[0166] The smart energy unit supports reading and setting radio parameters, and supports displaying and modifying the radio frequency and channel number. There are 48 channels in total, each corresponding to a different frequency range, and the frequency range corresponding to one channel is 223.025-235MHz. These 48 channels can select frequencies within this range. Radio communication is bidirectional, and the construction and maintenance costs of radio stations are relatively low. Compared with mobile communication systems that require a large number of base station construction and complex network maintenance, radio communication equipment is usually simpler, relatively cheap, and does not require huge infrastructure investment. Radio stations are highly independent and do not rely on external networks. Unlike Internet communications or mobile communications, radio communications do not need to rely on the infrastructure of central servers or network operators, and have high independence and autonomy. This allows radio communications to still work normally in some special circumstances, such as cyber attacks, wars, or when communication networks are interrupted, providing users with reliable communication guarantees. Through radio communication technology, a huge workload of wiring is saved, and at the same time, the real-time problem of massive terminal access is effectively solved.

[0167] The voltage, current and other data sent by the terminal collection equipment are aggregated and calculated to obtain the load curve of the substation. The demand-side response interface can analyze the user's electricity consumption behavior characteristics based on these curves, help users better participate in demand-side response, achieve efficient use and conservation of energy, and contribute to the stable operation of the power system.

[0168] The smart energy unit can be connected to the charging piles in the substation via a network cable. The substation manager can understand the charging status and progress in real time through the orderly charging management interface, and issue orderly charging decisions based on the analysis of the convergence calculation module, thereby optimizing the use of energy, reducing charging costs, and improving grid stability.

[0169] The present invention adopts edge computing technology to transfer part of the data processing and analysis functions to the smart energy unit, reducing the amount of data transmission and the burden on the main station system. The smart energy unit can perform preliminary analysis on the collected data locally, screen out key information for display, so that the data collected by the smart energy unit can be more intuitively displayed in front of the user, improving the user experience. At the same time, the function of turning off the screen when there is no operation for a long time is added, which reduces the operating energy consumption of the equipment, avoids resource waste, and improves the response speed and efficiency of the system.

[0170] Figure 6 A schematic diagram showing a fault handling flow according to an example embodiment.

[0171] When an abnormal fault occurs on the end device, such as hardware damage, software failure, communication interruption, etc., the end device sends an abnormal signal to the smart energy unit through RS485, Ethernet, HPLC and other communication methods. When data abnormality is detected, the edge device of the smart energy unit continuously collects data from the end device, and detects data abnormalities through real-time monitoring of key parameters such as power consumption, power, voltage, and current. For example, when the power suddenly fluctuates greatly or the voltage exceeds the normal range, the fault detection mechanism is triggered.

[0172] The smart energy unit conducts a preliminary analysis of the collected abnormal data to determine the possible fault type. For example, if multiple end devices experience communication interruptions at the same time, there may be a problem with the management channel; if the power of a charging pile increases abnormally, there may be an internal fault in the charging pile.

[0173] After the preliminary analysis, the module collaborative analysis is performed. The interface display module presents the abnormal data in a visual way, such as displaying a red alarm mark on a color touch screen, and provides basic information about the faulty equipment, so that the operation and maintenance personnel can quickly understand the fault situation. The demand-side response module analyzes the impact of the fault on the power demand forecast based on the historical power consumption data and the current fault situation, and evaluates whether the demand-side response strategy needs to be adjusted. Orderly charging module: Check whether the fault affects the charging plan of the energy equipment. If necessary, adjust the charging strategy to avoid further affecting the grid load. The energy efficiency management module analyzes the energy consumption of the faulty equipment and determines the extent of the fault's impact on energy efficiency. The smart energy unit stores the abnormal data in the database and uses the algorithm module for in-depth analysis. The specific cause and severity of the fault are determined by comparing historical data, analyzing data trends, and other methods.

[0174] After analyzing the fault, an early warning notification is issued. According to the fault analysis results, the smart energy unit generates corresponding alarm information, which includes the name of the faulty equipment, fault type, severity, possible impact range, etc. According to the alarm level and the preset notification rules, select the appropriate notification module. For example, for serious faults, the interface display application, SMS platform and email system are notified at the same time to ensure that the operation and maintenance personnel can receive the alarm information in time. The interface display module pops up an alarm window on the color touch screen, displays detailed alarm information, and emits sound or flashing prompts to attract the attention of on-site operation and maintenance personnel.

[0175] After receiving the alarm information, the operation and maintenance personnel take appropriate measures according to the type and severity of the fault. In the case of possible hardware failure, the operation and maintenance personnel go to the faulty equipment site to check and confirm the specific situation of the fault; for some faults that can be diagnosed remotely, the operation and maintenance personnel use the remote control function of the smart energy unit to adjust parameters, upgrade software, and try to restore the normal operation of the equipment; for faults involving multiple departments or requiring external resource support, the operation and maintenance personnel promptly coordinate with relevant personnel and units to jointly solve the fault.

[0176] After the operation and maintenance personnel complete the troubleshooting, they will re-check and test the faulty equipment to confirm that the equipment has resumed normal operation. The smart energy unit continuously monitors the data of the terminal equipment to verify whether the fault has been completely eliminated. If the data returns to normal, the system automatically removes the alarm state. The troubleshooting process is recorded and summarized, including information such as the cause of the fault, the treatment measures, and the processing time. These records can provide references for future troubleshooting and also help to continuously improve the stability and reliability of the system.

[0177] Figure 7 A block diagram of a computing device is shown according to an exemplary embodiment.

[0178] like Figure 7 As shown, computing device 30 includes processor 12 and memory 14. Computing device 30 may also include bus 22, network interface 16, and I / O interface 18. Processor 12, memory 14, network interface 16, and I / O interface 18 may communicate with each other via bus 22.

[0179] The processor 12 may include one or more general-purpose CPUs (Central Processing Units, processors), microprocessors, or application-specific integrated circuits, etc., for executing relevant program instructions. According to some embodiments, the computing device 30 may also include a high-performance graphics card (GPU) 20 for accelerating the processor 12.

[0180] The memory 14 may include a machine system readable medium in the form of a volatile memory, such as a random access memory (RAM), a read-only memory (ROM) and / or a cache memory. The memory 14 is used to store one or more programs including instructions and data. The processor 12 can read the instructions stored in the memory 14 to execute the above-mentioned method according to the embodiment of the present invention.

[0181] The computing device 30 may also communicate with one or more networks via the network interface 16. The network interface 16 may be a wireless network interface.

[0182] The bus 22 may include an address bus, a data bus, a control bus, etc. The bus 22 provides a path for exchanging information between components.

[0183] It should be noted that, in the specific implementation process, the computing device 30 may also include other components necessary for normal operation. In addition, those skilled in the art may understand that the above device may only include components necessary for implementing the embodiments of this specification, and need not include all components shown in the figure.

[0184] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above method when executed by a processor. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a microdrive, and a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), a network storage device, a cloud storage device, or any type of medium or device suitable for storing instructions and / or data.

[0185] An embodiment of the present invention further provides a computer program product, which includes a computer program. The computer program is operable to enable a computer to execute part or all of the steps of any one of the methods described in the above method embodiments.

[0186] Those skilled in the art can clearly understand that the technical solution of the present invention can be implemented with the help of software and / or hardware. "Unit" and "module" in this specification refer to software and / or hardware that can independently complete or cooperate with other components to complete specific functions, where the hardware can be, for example, a field programmable gate array, an integrated circuit, etc.

[0187] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0188] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0189] In the several embodiments provided by the present invention, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0190] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0191] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0192] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods of various embodiments of the present invention.

[0193] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0194] The exemplary embodiments of the present invention are specifically shown and described above. It should be understood that the present invention is not limited to the detailed structure, configuration or implementation method described herein; on the contrary, the present invention is intended to cover various modifications and equivalent configurations included in the spirit and scope of the attached clauses.

Claims

1. A system for intelligent energy management, the system having a four-level architecture, characterized in that: The system comprises a first level, a second level, a third level and a fourth level, wherein: The first level configuration is: Responsible for data storage, processing and analysis; Provide a visual energy management interface; The second level configuration is: Using at least one data transmission method to perform data transmission between the first layer and the third layer; The third level configuration is: Performing data transmission with the second layer via an uplink communication interface; Use edge computing devices to calculate and manage energy data; Performing data transmission with the fourth layer via a downlink communication interface; The fourth level configuration is: Data collection is carried out through energy monitoring terminals.

2. The system according to claim 1, characterized in that The first level is also configured as: Store data in a cloud database; Performing big data analysis and machine learning through the data in the cloud database; Send data, function commands and control instructions to the third level.

3. The system according to claim 1, characterized in that The third level is also configured as: The edge computing device collects energy data information of the terminal device through the serial port line; The energy data information is stored in a data center of the edge computing device.

4. The system according to claim 1, characterized in that The third level is also configured as: The computing module in the edge computing device reads the energy data information from the data center and performs calculations; The algorithm module in the edge computing device makes a decision based on the energy data information; The edge computing device reports the analysis results to the first layer and receives control commands issued by the first layer.

5. The system according to claim 1, characterized in that The third level is also configured such that the edge computing device provides local control and decision support for the fourth level.

6. The system according to claim 1, characterized in that The third level is also configured as: The smart energy unit collects and controls data through a three-layer structure of software application, basic support and hardware module.

7. The system according to claim 1, characterized in that The third level interacts through an interactive interface, and the interactive interface includes: A permanent display interface, wherein the permanent display interface displays the real-time energy load value of the total addition group, the total addition group load curve, the set value of the control parameter that has been put into operation, the current control parameter that has been put into operation, the current number of control rounds that have been put into operation, the current remote signaling status information, the system clock and the status diagram of each channel; Login interface, which is used to provide a user login entrance; An energy management interface, which is used to monitor and control energy performance and energy efficiency; The demand side response interface is used to display the current energy usage and the current demand side response event information.

8. A method for intelligent energy management, for managing energy data, the method comprising: Perform the following operations through the first level: Responsible for data storage, processing and analysis; Provide a visual energy management interface; The second level performs the following operations: Using at least one data transmission method to perform data transmission between the first layer and the third layer; The third level performs the following operations: Performing data transmission with the second layer via an uplink communication interface; Data collection and control are performed through the smart energy unit consisting of a three-layer structure of software application, basic support and hardware module; Use edge computing devices to calculate and manage energy data; Performing data transmission with the fourth layer via a downlink communication interface; Perform the following operations through the fourth level: Data collection is carried out through energy monitoring terminals.

9. A computer program product, characterized in that The method comprises a computer program which, when executed by a processor, implements the method according to claim 8.

10. A computing device, characterized in that: include: processor; as well as A memory storing a computer program, which, when executed by the processor, implements the method according to claim 8.

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