Monitoring control method and system for demand side energy consumption system

Abstract

The invention provides a monitoring control method and system for a demand side energy consumption system, and the system comprises a sensing layer device, an edge layer device, and a cloud management platform, which cooperatively carry out the energy consumption monitoring and management of the demand side energy consumption system. The control method specifically comprises the steps of collecting operation parameters and influence parameters of a demand side energy consumption system, performing energy efficiency analysis and operation regulation and control strategy matching, generating a corresponding regulation and control instruction according to the matched operation regulation and control strategy, issuing the regulation and control instruction to corresponding control equipment and a controller, executing corresponding regulation and control actions, and controlling the demand side energy consumption system according to the regulation and control instructions. And acquiring an associated operation state of the demand side energy consumption system in real time, formulating an operation instruction in combination with the operation state and an energy efficiency analysis result, adjusting an operation regulation and control strategy according to the operation instruction, outputting a corresponding control instruction to corresponding control equipment and a controller, and adjusting a corresponding regulation and control action. The operation regulation and control strategy can be fed back and adjusted according to the associated operation state, the flexibility of monitoring control is improved, and the energy utilization efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of demand-side energy management, and in particular to a monitoring and control method and system for a demand-side energy consumption system. Background Art

[0002] The demand-side energy system is a system that focuses on meeting the energy needs of users and realizing efficient, safe, reliable and sustainable use of energy. In order to meet the increasing energy needs of users, the existing demand-side energy system has begun to transform into an integrated energy system that can achieve the complementary and coordinated optimization of multiple energy sources through cost-effective energy storage technology and the integrated supply of multiple energy sources.

[0003] The advantage of the demand-side energy system is that it can be flexibly configured and optimized according to user needs to improve energy efficiency and reduce energy consumption and costs. The flexible configuration and optimization of the demand-side energy system mostly rely on monitoring the equipment on the demand-side energy system to formulate specific control strategies. However, this trend towards an integrated energy system has made the equipment operation changes of the demand-side energy system more complicated. However, this method of formulating control strategies based on monitoring results has poor flexibility, and the execution results of the control strategies cannot meet expectations, resulting in low energy efficiency. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art that a control strategy is formulated based on monitoring results to control the operation of a demand-side energy consumption system, which cannot adapt to changes in the operation of equipment in the demand-side energy consumption system, has poor flexibility, the execution results of the control strategy cannot meet expectations, and has low energy utilization efficiency. A monitoring and control method and system for a demand-side energy consumption system are provided, which can assist in adjusting the operation control strategy based on the associated operation status of the demand-side energy consumption system obtained in real time after the operation control strategy is implemented, so as to ensure that it can adapt to changes in the operating status of the demand-side energy consumption system in the execution of the operation control strategy, improve the flexibility of the monitoring and control of the demand-side energy consumption system, and improve the energy utilization efficiency of the demand-side energy consumption system.

[0005] The purpose of the present invention is achieved through the following technical solutions:

[0006] A monitoring and control method for a demand-side energy consumption system, comprising:

[0007] Collect the operating parameters and influencing parameters of the demand-side energy consumption system;

[0008] Energy efficiency analysis and operation control strategy matching based on operation parameters and influencing parameters;

[0009] Generate corresponding control instructions according to the matched operation control strategy, and send them to the corresponding control devices and controllers to execute the corresponding control actions;

[0010] Obtain the relevant operating status of the demand-side energy consumption system in real time, and formulate operating instructions based on the operating status and energy efficiency analysis results;

[0011] Adjust the operation control strategy according to the operation instructions, and output the corresponding control instructions to the corresponding control devices and controllers to adjust the corresponding control actions.

[0012] By collecting the operating parameters and influencing parameters of the energy consumption system on the demand side, the equipment operating status analysis and energy efficiency instant diagnosis of the energy consumption system on the demand side can be realized, so as to automatically generate the corresponding control strategy, adjust the operation of the energy consumption system on the demand side, and meet the energy demand of users. At the same time, when executing the operation control strategy, the associated operating status of the energy consumption system on the demand side can be obtained to feedback the operating status of the energy consumption system on the demand side under the operation control strategy, so as to timely identify the energy demand changes of the energy consumption system on the demand side, and can issue corresponding operation instructions and adjust the operation control strategy to adapt to the energy demand changes of the same energy consumption on the demand side, improve the flexibility of monitoring and control of the energy consumption system on the demand side, and improve the energy utilization efficiency of the energy consumption system on the demand side.

[0013] Furthermore, the energy efficiency analysis and operation control strategy matching based on the operation parameters and the influencing parameters include:

[0014] Compare the operation parameters and the influencing parameters with each operation control strategy in the operation control strategy library, and select the operation control strategy to be selected based on the preset screening conditions and the comparison results;

[0015] An operation effect evaluation is performed based on the historical application data of each candidate operation control strategy, and an operation control strategy is selected according to the operation effect evaluation results.

[0016] Furthermore, the energy efficiency analysis and operation control strategy matching based on the operation parameters and the influencing parameters also includes:

[0017] When the operating parameters and influencing parameters of the energy consumption system on the demand side are collected, the corresponding energy efficiency diagnosis model is obtained in the energy efficiency diagnosis model library according to the matching of the operating parameters and the influencing parameters;

[0018] The energy efficiency level of the demand-side energy consumption system is obtained based on the operating parameters, influencing parameters and the matched energy efficiency diagnosis model.

[0019] Furthermore, the real-time acquisition of the associated operating status of the demand-side energy consumption system and the formulation of operating instructions in combination with the operating status and energy efficiency analysis results include:

[0020] Set energy efficiency optimization goals based on energy efficiency levels and operation control strategies;

[0021] Conduct real-time energy efficiency level assessment based on the associated operating status of the demand-side energy consumption system;

[0022] Compare the real-time energy efficiency level and the energy efficiency optimization target, select the optimization node according to the comparison results, and formulate the corresponding operating parameters and operating instructions that affect parameter adjustment.

[0023] Furthermore, the operation control strategy is adjusted according to the operation instruction, and the corresponding control instruction is output to the corresponding control device and controller to adjust the corresponding control action, including:

[0024] Determine the operating parameters and influencing parameters to be adjusted and the corresponding adjustment values ​​according to the operating instructions;

[0025] Adjusting corresponding parameters of the operation control strategy according to the operation parameters and influencing parameters to be adjusted and the corresponding adjustment values;

[0026] Obtain the control devices and controllers corresponding to the adjusted parameters, formulate control instructions according to the adjusted values ​​of the corresponding parameters, and send them to the corresponding control devices and controllers.

[0027] Furthermore, it also includes:

[0028] In the process of starting the operation and control strategy, the load regulation plan of the demand-side energy system is also obtained in real time;

[0029] When the load regulation plan is obtained, the operation regulation strategy is suspended;

[0030] Based on the load regulation plan, the load regulation strategy is matched, and the corresponding control devices and controllers execute the load regulation strategy;

[0031] After the load control strategy is completed, restart the operation control strategy.

[0032] A monitoring and control system for a demand-side energy consumption system, used to execute any one of the above-mentioned monitoring and control methods for a demand-side energy consumption system, comprising:

[0033] The sensing layer equipment is set up on the demand-side energy consumption system side and is used to collect the operating parameters and influencing parameters of the demand-side energy consumption system;

[0034] The edge layer device is connected to the perception layer device in communication, and is used to perform energy efficiency analysis and generate operation control strategies based on the operation parameters and influencing parameters collected by the perception layer device;

[0035] The cloud management platform communicates with edge layer devices to monitor the operating status of the demand-side energy consumption system in real time and manage and regulate the operation of edge layer devices.

[0036] Furthermore, it also includes:

[0037] The network layer device is arranged between the edge layer device and the cloud management platform, and is used to transmit the interactive data between the edge layer device and the cloud management platform.

[0038] Furthermore, the operating parameters include electrical parameters, thermal parameters and gas parameters of the demand-side energy system, and the influencing parameters include environmental parameters.

[0039] The beneficial effects of the present invention are:

[0040] (1) By real-time monitoring of the operating parameters and influencing parameters of the demand-side energy system, the operating status of the system can be identified, thereby accurately identifying its energy demand, and being able to achieve equipment regulation by setting operation regulation strategies to meet energy demand. The operation regulation strategy can be further adjusted by obtaining the associated operating status to improve the flexibility of the demand-side energy system regulation and ensure energy efficiency.

[0041] (2) Considering the impact of the operation and control strategy on the demand-side energy consumption system, in order to avoid affecting the load regulation of the cloud management platform, when there is a demand for load regulation, the corresponding operation and control strategy is suspended, and after the load regulation is completed, the operation and control strategy is re-executed. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of a process of the present invention;

[0043] Figure 2 It is a structural schematic diagram of the present invention;

[0044] Figure 3 is a schematic diagram of the structure of one of the boards of the energy controller according to an embodiment of the present invention;

[0045] Figure 4 is a schematic diagram of the structure of another single board of the energy controller according to an embodiment of the present invention;

[0046] Figure 5 It is a schematic diagram of the operation flow of the main control module of the energy controller according to an embodiment of the present invention;

[0047] Figure 6 It is a schematic diagram of the network access implementation process of the 4G LTE module of the energy controller according to an embodiment of the present invention;

[0048] Figure 7 It is a schematic diagram of a flow chart of a system remote update of a system remote update system module of an energy controller according to an embodiment of the present invention;

[0049] Figure 8It is a schematic diagram of the connection and communication process between the platform communication module of the energy controller of an embodiment of the present invention and the third-party platform;

[0050] Fig. 9 It is a schematic diagram of the working process of the energy monitoring device management module of the energy controller according to an embodiment of the present invention.

[0051] Among them: 1. Perception layer equipment, 2. Edge layer equipment, 3. Cloud management platform, 4. Network layer equipment. DETAILED DESCRIPTION

[0052] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0053] Example:

[0054] A monitoring and control method for a demand-side energy system, such as Figure 1 As shown, including:

[0055] Collect the operating parameters and influencing parameters of the demand-side energy consumption system;

[0056] Energy efficiency analysis and operation control strategy matching based on operation parameters and influencing parameters;

[0057] Generate corresponding control instructions according to the matched operation control strategy, and send them to the corresponding control devices and controllers to execute the corresponding control actions;

[0058] Obtain the relevant operating status of the demand-side energy consumption system in real time, and formulate operating instructions based on the operating status and energy efficiency analysis results;

[0059] Adjust the operation control strategy according to the operation instructions, and output the corresponding control instructions to the corresponding control devices and controllers to adjust the corresponding control actions.

[0060] By collecting the operating parameters and influencing parameters of the energy consumption system on the demand side, the equipment operating status analysis and energy efficiency instant diagnosis of the energy consumption system on the demand side can be realized, so as to automatically generate the corresponding control strategy and adjust the operation of the energy consumption system on the demand side to meet the energy demand of users. At the same time, when executing the operation control strategy, the associated operating status of the energy consumption system on the demand side can be obtained to feedback the operation status of the operation control strategy, and the energy demand changes of the energy consumption system on the demand side can be obtained in time, so as to issue corresponding operation instructions and adjust the operation control strategy to adapt to the energy demand changes of the same energy consumption on the demand side, improve the flexibility of monitoring and control of the energy consumption system on the demand side, and improve the energy utilization efficiency of the energy consumption system on the demand side.

[0061] The energy efficiency analysis and operation control strategy matching based on the operation parameters and the influencing parameters include:

[0062] Compare the operation parameters and the influencing parameters with each operation control strategy in the operation control strategy library, and select the operation control strategy to be selected based on the preset screening conditions and the comparison results;

[0063] An operation effect evaluation is performed based on the historical application data of each candidate operation control strategy, and an operation control strategy is selected according to the operation effect evaluation results.

[0064] After obtaining the operating parameters and influencing parameters, the approximate operating scenario of the current demand-side energy consumption system can be restored according to the specific parameter values, thereby screening out the operating control strategy library that meets the current operating scenario.

[0065] Then, the operating parameters and influencing parameters are compared with each operation and control strategy in the screened operation and control strategy library to find out which strategies have parameter settings that are closest to the operating status of the current demand-side energy consumption system.

[0066] Specifically, the parameter range of the strategy, the fit between the control rules and the current system status can be used as preset screening conditions, and the comparison results can be combined to screen out the operation control strategy that better matches the current operation scenario.

[0067] For the selected operation and control strategies, in order to further ensure the accuracy of the selection, the corresponding historical application data is obtained to evaluate their effects in actual applications, so as to understand their energy efficiency improvement and stability performance in similar scenarios, and thus select the one with the best operation effect as the final operation and control strategy.

[0068] The energy efficiency analysis and operation control strategy matching based on the operation parameters and the influencing parameters also includes:

[0069] When the operating parameters and influencing parameters of the energy consumption system on the demand side are collected, the corresponding energy efficiency diagnosis model is obtained in the energy efficiency diagnosis model library according to the matching of the operating parameters and the influencing parameters;

[0070] The energy efficiency level of the demand-side energy consumption system is obtained based on the operating parameters, influencing parameters and the matched energy efficiency diagnosis model.

[0071] Specifically, before performing model matching, it is necessary to first clarify the object of energy efficiency diagnosis and the specific goals of the diagnosis. After determining the goals of energy efficiency diagnosis such as improving energy efficiency, reducing energy consumption or optimizing operating parameters of the demand-side energy-consuming system, determine the appropriate energy efficiency diagnosis model library, and then perform model matching from it based on the specific operating parameters and influencing parameters.

[0072] Then, the model is matched through operating parameters, types of influencing parameters, numerical ranges, etc. to determine the appropriate energy efficiency diagnosis model.

[0073] The real-time acquisition of the associated operating status of the demand-side energy consumption system and the formulation of operating instructions in combination with the operating status and energy efficiency analysis results include:

[0074] Set energy efficiency optimization goals based on energy efficiency levels and operation control strategies;

[0075] Conduct real-time energy efficiency level assessment based on the associated operating status of the demand-side energy consumption system;

[0076] Compare the real-time energy efficiency level and the energy efficiency optimization target, select the optimization node according to the comparison results, and formulate the corresponding operating parameters and operating instructions that affect parameter adjustment.

[0077] After the operation and control strategy is clarified, the operation status of the operation and control strategy can be judged according to the energy efficiency level obtained from the previous analysis, so as to achieve feedback on the operation status of the operation and control strategy through comparison of energy efficiency levels.

[0078] And considering the impact of the operation control strategy on the operating parameters and influencing parameters, the real-time energy efficiency level of the demand-side energy consumption system is further reflected through the associated operating status of the demand-side energy consumption system.

[0079] Among them, the associated operating status can be the operating status of the device that is not related to the control device and the controller in the operation and control strategy, the operating status that is associated with the demand-side energy consumption system, etc.

[0080] Comparing the real-time energy efficiency level with the energy efficiency level can intuitively display the operation of the operation and control strategy. If the real-time energy efficiency level does not reach the expected level, the specific parameters with differences can be determined through the comparison results, so as to select the corresponding optimization node and formulate the corresponding operation instructions according to the specific equipment and parameters involved in the optimization node. Specifically, the operation instructions are formulated and issued by the cloud management platform.

[0081] The operation control strategy is adjusted according to the operation instruction, and the corresponding control instruction is output to the corresponding control device and controller to adjust the corresponding control action, including:

[0082] Determine the operating parameters and influencing parameters to be adjusted and the corresponding adjustment values ​​according to the operating instructions;

[0083] Adjusting corresponding parameters of the operation control strategy according to the operation parameters and influencing parameters to be adjusted and the corresponding adjustment values;

[0084] Obtain the control devices and controllers corresponding to the adjusted parameters, formulate control instructions according to the adjusted values ​​of the corresponding parameters, and send them to the corresponding control devices and controllers.

[0085] After the operation instruction is issued, the operation instruction can be responded to in time to determine the specific adjustment operation and adjust the corresponding control equipment and controller.

[0086] In the process of starting the operation and control strategy, the load regulation plan of the demand-side energy system is also obtained in real time;

[0087] When the load regulation plan is obtained, the operation regulation strategy is suspended;

[0088] Based on the load regulation plan, the load regulation strategy is matched, and the corresponding control devices and controllers execute the load regulation strategy;

[0089] After the load control strategy is completed, restart the operation control strategy.

[0090] Since the execution of the operation and control strategy involves the operation adjustment of various control devices and controllers, and when the cloud management platform needs to perform load adjustment on the demand-side energy consumption system, it is inevitable to call on such control devices and controllers. Therefore, in order to avoid affecting the load adjustment of the cloud management platform, when there is a demand for load adjustment, the corresponding operation and control strategy is suspended, and after the load adjustment is completed, the operation and control strategy is re-executed.

[0091] When the operation control strategy is re-executed, the operation control strategy can be re-formulated to adapt to the changes in the operating conditions of the demand-side energy consumption system under the influence of load regulation.

[0092] In another aspect of this embodiment, a monitoring and control system for a demand-side energy system is provided. Figure 2 As shown, including:

[0093] The sensing layer device 1 is arranged at the demand side energy consumption system side and is used to collect the operation parameters and influencing parameters of the demand side energy consumption system;

[0094] The edge layer device 2 is connected to the perception layer device in communication, and is used to perform energy efficiency analysis and generate an operation control strategy based on the operation parameters and influencing parameters collected by the perception layer device;

[0095] The cloud management platform 3 communicates with the edge layer devices to monitor the operating status of the demand side energy consumption system in real time and manage and adjust the operation control of the edge layer devices.

[0096] The network layer device 4 is arranged between the edge layer device and the cloud management platform, and is used to transmit the interactive data between the edge layer device and the cloud management platform. Among them, the edge layer device is centered on the energy controller, and its network communication is divided into uplink communication and downlink communication, one is the communication between the perception layer device and the edge layer device, and the other is the communication between the edge layer device and the upper platform.

[0097] The data that need to be collected in the demand-side energy system include electrical parameters, thermal parameters, gas parameters and environmental parameters.

[0098] Electric parameters are generally collected through intelligent energy meters. The main collected data include the output value of the energy meter, including phase voltage, line voltage, current, single-phase active / reactive power, total active / reactive power, single-phase apparent power, total apparent power, positive active energy, reverse active energy, positive reactive energy, reverse reactive energy, power factor and frequency, etc. And the state quantity of the energy meter, including circuit breaker position signal, switch position signal, trolley position signal, valve switch signal, equipment fault signal, communication alarm signal and total accident signal, etc.

[0099] Thermal parameters are generally collected using a heat meter. The main collected parameters include the output value of the heat meter, including real-time flow, cumulative flow, supply and return water temperature, temperature difference and cumulative working time, as well as state quantities, including valve position signals and fault signals.

[0100] Gas parameters are generally collected using remote gas meters. The main collected parameters include the output value of the gas meter, including real-time time, real-time flow, cumulative amount and meter address, as well as status quantities, including valve position signals and fault signals.

[0101] Environmental parameters can be collected by using corresponding temperature and humidity sensors to collect data such as ambient temperature and humidity.

[0102] The perception layer devices can use the above terminal collectors and controllers to perceive the status of entities and the environment, providing data support for subsequent calculation, analysis and control.

[0103] The main equipment of the perception layer is the energy consumption information collection device that integrates the functions of the above-mentioned terminal collector. It can use the existing power information collection system as a framework to aggregate various load data such as water, gas, heat, electricity, etc. at the user level to the same intelligent terminal, and then centrally communicate with the upper-level master station platform.

[0104] The energy consumption information collection device mainly covers the data collection of water, electricity and gas, including electrical measurement, cold / heat load measurement, gas and other measurements.

[0105] For the collection of electrical parameters, the corresponding collection terminals can be installed at the main switches on the incoming and outgoing sides of the transformers for building power supply, as well as on the low-voltage distribution trunk lines for lighting sockets, air conditioners, power and special electricity. The collection of water and gas data such as thermal parameters and gas parameters mainly adopts the original system access or photo recognition method.

[0106] The energy consumption information collection device can transmit the collected data regularly and encrypt the corresponding data packets during the transmission process. If there is a transmission network failure and the data transmission fails, the network will be restored to normal before the breakpoint transmission is completed. The data can be sent to the data center or multiple servers. And because the previous operating manufacturers corresponding to the data collection of different parameters are different, the communication methods used are also different. Therefore, when the energy consumption information collection device is used to uniformly manage the heterogeneous terminals for data collection, the wired communication method (RS-485 bus, M-Bus bus and power line carrier) and the wireless communication method (micro-power wireless communication) can be comprehensively considered to realize the interconnection of terminal meters.

[0107] The edge layer equipment takes the energy controller as the core, providing unified storage, data management and analysis functions for the collected data. Downward, the data collected by the perception layer equipment is calculated, preliminarily analyzed, stored and applied locally; upward, it realizes two-way interaction with the cloud management platform, and can upload the processed information to the cloud, and also regulate local resources according to the upper-level business needs. The edge computing technology is fully applied to perform local energy efficiency diagnosis and analysis based on the monitoring data, and generate optimization and regulation strategies. After simple calculation and analysis by the edge layer equipment, the pressure on the cloud management platform to process data can be greatly alleviated.

[0108] Network layer devices contain a variety of communication protocols, which are mainly divided into wired communication networks and wireless communication networks. Wired communication networks include industrial Ethernet, power line carrier communication (PLC) and optical fiber communication.

[0109] The cloud management platform is a platform for unified management, processing and application development of various types of data from the demand-side energy consumption system. It includes the Internet of Things device management platform and the Internet of Things business management platform. It can fully apply modern information technologies such as "big data, cloud, objects, mobile, and intelligence" to achieve detailed analysis and comprehensive processing of various types of collected data, and serve users' energy needs more accurately.

[0110] The cloud management platform in this embodiment serves as the nerve center of the ubiquitous power Internet of Things on the demand side. It can perform real-time monitoring, statistical analysis, alarm management, energy efficiency analysis and energy cost center management on energy collection data, and can establish energy analysis models in combination with environmental safety and other information to achieve energy planning, energy performance indicators, intelligent control and other management.

[0111] The cloud management platform in this embodiment adopts a cloud computing model, and the shared hardware and software resources and information can be provided to computers and other devices on demand, thereby reducing construction costs, improving system flexibility, and facilitating the management and sharing of data and services.

[0112] The main business processing functions of the cloud management platform include unified data management, energy efficiency data collection and analysis, equipment load trend analysis, equipment management and other business applications. It is equipped with several communication interfaces to receive relevant data transmitted through network layer devices, and can also exchange information with other application systems such as power marketing systems through communication interfaces.

[0113] Likewise, the cloud management platform of this embodiment can also deploy third-party software to connect with corresponding software to achieve business addition and business expansion.

[0114] The monitoring and control system described in this embodiment is mainly aimed at monitoring, analyzing and intelligently regulating the energy consumption information of electricity users corresponding to the demand-side energy consumption system, and can realize functions such as collection of relevant data, analysis and processing of data, and remote monitoring and management of equipment and energy efficiency control.

[0115] Among them, various energy sources are used to monitor and transmit data using dedicated collection terminals, and the data is uploaded in an isolated manner, and each type of data is closed. In addition, a fully integrated mode is adopted for the collected data, which can support the access of multiple energy and equipment information, and collect and upload the data, so that the monitoring and control system can achieve a comprehensive perception of the state of the energy consumption system on the demand side, ensuring that the cloud management platform can process data more efficiently.

[0116] The collected data can be displayed intuitively to users through the cloud management platform on the one hand, so that users can understand their energy consumption levels; on the other hand, it can also serve as a data basis for evaluating the energy efficiency level of demand-side energy consumption systems, so as to achieve regulation and control to optimize their energy efficiency.

[0117] After data collection is completed, it can be aggregated and transmitted to the energy controller for centralized storage and on-site processing. When the terminal collector of the perception layer device and the energy controller are in the local area network, the perception layer data can be transmitted to the energy controller via RS-485, WIFI, LoRa, etc.

[0118] The energy controller realizes the real-time terminal of system-level energy efficiency based on the collected data to automatically generate optimization strategies and perform real-time regulation.

[0119] Furthermore, the collected data can be intuitively displayed through the cloud management platform to present the energy consumption status of each device in the demand-side energy system. Functions such as equipment working status viewing and remote control can be realized based on the cloud management platform.

[0120] Among them, the energy controller specifically uses the Rockchip PX30 multimedia processing chip, which has multiple peripheral interfaces, such as wired ports: 485 port, 232 port, 100M Ethernet port, DIO port, USB port, etc., wireless ports: wifi port, LTE port, etc.

[0121] The energy controller is mainly composed of two boards, as follows: Figure 3 and Figure 4 As shown, Figure 3 The single board shown in the figure is the core board, which mainly integrates the CPU small system and USB hub, WiFi, 232, 485 and other ports; Figure 4 The board shown above is the main board, which mainly includes the power supply (48V input and 5V output), protection circuit, and RJ45, USB, TF card and other ports.

[0122] The two boards are connected via two 40-pin B to B connectors.

[0123] The energy controller contains multiple functional modules, including:

[0124] The processor module specifically uses Rockchip PX30 multimedia processing chip as the main processor. This chip is a high-performance quad-core application processor designed for personal mobile Internet devices and other digital multimedia applications. It uses an advanced implementation of a single quad-core 64-bit ARM Cortex-A35 core with a main frequency of up to 1.5GHz. The GPU series uses Mali-G31MP2, which supports multi-format 1080P 60fps video decoding such as VC-1, H265 / H264, MPEG-1 / 2 / 4, VP8, etc. It also provides many embedded powerful hardware engines to optimize the performance of high-end applications.

[0125] The storage module in this embodiment is specifically designed with two 16-bit DDR3 storage media, which can provide 1GB of running memory space, and further uses an 8GB storage medium Emmc as power-off non-volatile storage.

[0126] The network communication module supports broadband and narrowband IoT communication functions. The broadband mainly includes Ethernet communication modules and 4G LTE mobile communication modules, and the narrowband mainly includes NB-IoT and LoRa communication modules. According to the application scenario, the appropriate network can be selected to achieve different functional requirements. In addition, wifi and Bluetooth modules are integrated, and are implemented using the AP6212 integrated module, which provides WiFi SDIO interface, Bluetooth UART / I2S / PCM interface, and FM UART / I2S / PCM interface.

[0127] The interface module specifically includes Ethernet interface, USB interface, TF interface, RS232 and RS485 interface. Among them, the Ethernet interface can be used for debugging system applications, connecting to Ethernet to transfer large data files, connecting to network monitoring devices such as network cameras to obtain data, etc. The USB interface module can realize the visual connection of external PC devices and the Linux system of the gateway platform, which is convenient for the development and maintenance of gateway system applications. The USB interface also includes USB OTG interface and USBHOST interface to realize firmware burning and peripheral connection.

[0128] Among them, the top layer of the software architecture in the energy controller is also provided with an application layer, which can complete the corresponding function implementation according to the specific needs of the specific energy control project of the demand-side energy system.

[0129] The application layer specifically uses edge computing to achieve energy efficiency diagnosis and operation control strategy formulation, data processing and information communication. The main functional modules of the application layer include main control module, log recording module, wireless network access module, system platform communication module, data processing module, and energy consumption monitoring equipment management module.

[0130] (1) The main control module can dynamically call the programs of each module of the system according to the configuration file information of the monitoring and control system where the energy controller is located. At the same time, it can maintain the subsystem modules that have been running and regularly clear the expired logs and data files generated by the system operation. The main control program is the core of the application layer and the key to the stable operation of the entire system. The main control module is the main module for the operation of the system application and is responsible for maintaining the normal operation of the entire system.

[0131] The operation process of the main control module is as follows: Figure 5 As shown, specifically, the main control module first reads the configuration file to complete the system initialization, and obtains the various parameter information of the operation of each module of the system, uses a multi-threaded approach to achieve intelligent scheduling, dynamic configuration and timely maintenance of multiple sub-program modules, and regularly deletes and backs up the log files and data files generated by the system operation.

[0132] (2) The logging module mainly provides necessary reference guidance for system maintenance and debugging operations. By recording various status information during the system operation process, the recorded information is remotely reported and regularly backed up locally, so as to achieve real-time control and management of the equipment operation status and facilitate remote maintenance.

[0133] The log record and data record module realizes local backup and remote record functions, among which remote record is mainly realized through FTP transmission function. The log file is mainly used to record all the information of the operation of each module of the system. When the system runs abnormally, the log file can be used to troubleshoot errors and facilitate system operation and maintenance. The relevant information of the monitoring and control system where the energy controller is located using the FTP server includes: FTP server P address, port number, login user name, login password, local storage file path and server-side file path.

[0134] (3) The network access module mainly implements different operations for various network standards, including the network access functions of network communication modules such as 4G LTE and NB-IOT. The wireless network access module specifically completes the initialization and network access process of the corresponding network communication module through a series of AT commands, providing support for subsequent platform communications.

[0135] Among them, the 4G LTE module generally requires the use of a dial-up program to access the network. After successful access, a specific data transmission and reception program is required for data transmission and reception; using the NB-IOT module only requires the use of AT commands to achieve network access and data transmission and reception.

[0136] The AT command information included in the network access module in this embodiment is specifically shown in Table 1:

[0137] Table 1 AT command information

[0138]

[0139] Specifically, taking the 4G LTE module access as an example, the network access module access process is as follows: Figure 6 As shown, when the network connection is abnormal, the 4G LTE module can implement the hardware reset function by calling the 4G_reset script. Specifically, by obtaining the power supply pin number of the 4G LTE module and setting the high and low level commands of the pin, the hardware reset function of the 4GLIE module is implemented.

[0140] (4) System remote update The system module mainly completes system version update, local backup and update error system maintenance functions. The system remote update can be performed by the cloud management platform or by sending a system update command. The system update module downloads the system update file to the local according to the command, and performs a checksum operation on the system update file. When the checksum is correct, the upgrade of this system application is completed.

[0141] System remote update The process of system module remote update is as follows Figure 7Specifically, a new version of the system application can be downloaded from the FTP server. After the system remote update module completes the file download, a checksum operation is performed to compare the MD5 value of the downloaded file with the MD5 value of the original file. If they are not the same, the download of the update file is an error and the update operation is not performed; if they are the same, the update operation continues.

[0142] (5) The platform communication module mainly realizes the communication function between the energy controller and multiple platforms, including the cloud management platform and other IoT device management platforms. Among them, the remote management function of the edge intelligent gateway can be realized through the remote master control service platform, and the communication process can use a customized private communication protocol. The business functions realized between the platform communication module and the cloud management platform mainly include receiving platform instructions and realizing remote management and configuration, reporting collected information to realize data transmission, and detecting network status maintenance and platform stable connection functions. The reported data information includes energy consumption data information, sensor information, system operation status information, etc.

[0143] The platform communication module can use the platform profile file management mechanism to realize the access of energy consumption monitoring equipment to the cloud management platform, and supports connection to third-party platforms. The platform communication module can obtain the IP address and port number of the third-party platform, and interact with the third-party platform through TCP, UDP, CoAP, MQTT and other IoT data transmission protocols. At the same time, the cloud management platform can also perform remote management such as adding, deleting and modifying the third-party platform.

[0144] The energy controller can be connected to the third-party device management platform in a variety of ways. One is to use the TCP / UDP protocol to directly connect to the third-party platform, which requires obtaining the IP address and port number information of the corresponding platform. The other is to use the platform connection plug-in information provided by the third-party platform to quickly establish a connection with the third-party platform for data transmission.

[0145] The connection and communication process between the platform communication module and the third-party platform is as follows: Figure 8 As shown, the remote main control platform shown is the cloud management platform.

[0146] (6) The data processing module is mainly responsible for processing and storing the collected operating parameters and influencing parameters. The data processing module uses a screening algorithm to process the validity of various types of data, and uses an encryption algorithm to encrypt and transmit valid data to ensure the accuracy of the data. It can also send the data to the energy efficiency diagnosis model library in the data storage module, automatically match the appropriate energy efficiency diagnosis model, perform data calculations, feedback the energy efficiency level of the energy-consuming system, and further send it to the cloud management platform through the remote communication network.

[0147] For the transmission of collected data, hourly average data transmission, daily average data transmission, weekly average data transmission and monthly average data transmission can be adopted according to the needs of different platforms to meet the platform's needs for diversified display of collected data.

[0148] Furthermore, the security of data transmission content is effectively processed. For energy consumption platforms that need to ensure the correctness of data content, the collected data is encrypted using an algorithm before data reporting, and the data is converted into encrypted content for transmission. After obtaining the encrypted data, the corresponding platform needs to use a specific decryption function to obtain the decrypted energy consumption data, so as to prevent the corresponding data from being leaked and tampered during transmission.

[0149] However, as an IoT terminal device, the energy controller has certain limitations in data security encryption, mainly manifested in limited computing power and small storage space. Therefore, lightweight encryption algorithms are further used to achieve data encryption.

[0150] Lightweight encryption algorithms need to be considered from two dimensions: one is the security strength of the encryption algorithm, and the other is the resource consumption of the encryption algorithm. In this embodiment, the AES group symmetric encryption algorithm is specifically used, which has the advantages of high efficiency and low memory usage.

[0151] (7) The energy consumption monitoring equipment management module can intelligently connect various types of data collection terminals to the energy controller, which can be plug-and-play and realize effective monitoring of various data collection terminals.

[0152] The energy consumption monitoring equipment management module includes a series of energy consumption monitoring equipment program modules. Each monitoring equipment program module can be scheduled by the main control program according to the configuration file to realize the collection, formatting and storage of the corresponding data of the demand side energy consumption system.

[0153] When the master station or cloud management platform issues relevant instructions for data collection, the energy controller will perform different data processing operations according to different instructions.

[0154] If the data collection operation is issued, a reset command is issued to the energy controller and the collection state of the collection terminal is turned on.

[0155] When data needs to be uploaded, the communication interface receives the data, parses and caches the data, and sends the data.

[0156] If the operation is to change parameters, the defined device parameters will be sent to the corresponding device, including: starting / stopping data collection and communication parameter settings, etc.

[0157] The specific workflow of the energy monitoring equipment management module is as follows: Fig. 9 shown.

[0158] The above functional modules can effectively cope with the diversified energy collection needs in actual energy consumption scenarios and realize the unified management of collection terminals.

[0159] It can also perform energy efficiency diagnosis based on the monitored data and automatically execute optimization and control strategies, changing the original working mode of the relevant energy management system of the demand-side energy consumption system that only monitors but does not control or is manually controlled.

[0160] The above-described embodiment is only a preferred solution of the present invention and does not limit the present invention in any form. There are other variations and modifications without exceeding the technical solution described in the claims.

Claims

1. A monitoring and control method for a demand-side energy system, characterized in that: include: Collect the operating parameters and influencing parameters of the demand-side energy consumption system; Energy efficiency analysis and operation control strategy matching based on operation parameters and influencing parameters; Generate corresponding control instructions according to the matched operation control strategy, and send them to the corresponding control devices and controllers to execute the corresponding control actions; Obtain the relevant operating status of the demand-side energy consumption system in real time, and formulate operating instructions based on the operating status and energy efficiency analysis results; Adjust the operation control strategy according to the operation instructions, and output the corresponding control instructions to the corresponding control devices and controllers to adjust the corresponding control actions.

2. A monitoring and control method for a demand-side energy system according to claim 1, characterized in that: The energy efficiency analysis and operation control strategy matching based on the operation parameters and the influencing parameters include: Compare the operation parameters and the influencing parameters with each operation control strategy in the operation control strategy library, and select the operation control strategy to be selected based on the preset screening conditions and the comparison results; An operation effect evaluation is performed based on the historical application data of each candidate operation control strategy, and an operation control strategy is selected according to the operation effect evaluation results.

3. The monitoring and control method of a demand-side energy system according to claim 1, characterized in that: The energy efficiency analysis and operation control strategy matching based on the operation parameters and the influencing parameters also includes: When the operating parameters and influencing parameters of the energy consumption system on the demand side are collected, the corresponding energy efficiency diagnosis model is obtained in the energy efficiency diagnosis model library according to the matching of the operating parameters and the influencing parameters; The energy efficiency level of the demand-side energy consumption system is obtained based on the operating parameters, influencing parameters and the matched energy efficiency diagnosis model.

4. A monitoring and control method for a demand-side energy system according to claim 3, characterized in that: The real-time acquisition of the associated operating status of the demand-side energy consumption system and the formulation of operating instructions in combination with the operating status and energy efficiency analysis results include: Set energy efficiency optimization goals based on energy efficiency levels and operation control strategies; Conduct real-time energy efficiency level assessment based on the associated operating status of the demand-side energy consumption system; Compare the real-time energy efficiency level and the energy efficiency optimization target, select the optimization node according to the comparison results, and formulate the corresponding operating parameters and operating instructions that affect parameter adjustment.

5. A monitoring and control method for a demand-side energy system according to claim 4, characterized in that: The operation control strategy is adjusted according to the operation instruction, and the corresponding control instruction is output to the corresponding control device and controller to adjust the corresponding control action, including: Determine the operating parameters and influencing parameters to be adjusted and the corresponding adjustment values ​​according to the operating instructions; Adjusting corresponding parameters of the operation control strategy according to the operation parameters and influencing parameters to be adjusted and the corresponding adjustment values; Obtain the control devices and controllers corresponding to the adjusted parameters, formulate control instructions according to the adjusted values ​​of the corresponding parameters, and send them to the corresponding control devices and controllers.

6. The monitoring and control method of a demand-side energy system according to claim 1, characterized in that: Also includes: In the process of starting the operation and control strategy, the load regulation plan of the demand-side energy system is also obtained in real time; When the load regulation plan is obtained, the operation regulation strategy is suspended; Based on the load regulation plan, the load regulation strategy is matched, and the corresponding control devices and controllers execute the load regulation strategy; After the load control strategy is completed, restart the operation control strategy.

7. A monitoring and control system for a demand-side energy system, used to execute a monitoring and control method for a demand-side energy system according to any one of claims 1 to 6, characterized in that: include: The sensing layer equipment is set up on the demand-side energy consumption system side and is used to collect the operating parameters and influencing parameters of the demand-side energy consumption system; The edge layer device is connected to the perception layer device in communication, and is used to perform energy efficiency analysis and generate operation control strategies based on the operation parameters and influencing parameters collected by the perception layer device; The cloud management platform communicates with edge layer devices to monitor the operating status of the demand-side energy consumption system in real time and manage and regulate the operation of edge layer devices.

8. The monitoring and control system of a demand-side energy system according to claim 7, characterized in that: Also includes: The network layer device is arranged between the edge layer device and the cloud management platform, and is used to transmit the interactive data between the edge layer device and the cloud management platform.

9. The monitoring and control system of a demand-side energy system according to claim 7, characterized in that: The operating parameters include electrical parameters, thermal parameters and gas parameters of the demand-side energy system, and the influencing parameters include environmental parameters.

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