Cloud side end intelligent control system architecture of comprehensive energy

Abstract

The invention relates to the technical field of energy management, and discloses a cloud side end intelligent control system architecture of comprehensive energy. The cloud side-end intelligent control system architecture of the integrated energy comprises an intelligent control cloud platform, the intelligent control cloud platform provides application services for an integrated energy system based on monitoring data reported by a side end, and the application services comprise part or all of business application, algorithm application, side-cloud collaboration, an Internet of Things platform, a delivery tool and monitoring operation and maintenance; the edge end provides a service application, an algorithm application, a data link application and a native application of the edge side server, and controls the integrated energy system equipment according to the monitoring data reported by the end side; and the end side comprises a controller and a detection module and is used for monitoring and controlling the integrated energy system and sending monitoring data to the side end. According to the invention, the complexity of field work is greatly reduced, the construction period is shortened, the business mode of end side productization and cloud platform is realized, and large-scale popularization is supported.

Description

Technical Field

[0001] The present application generally relates to the field of energy management technology, and specifically to a cloud-edge intelligent control system architecture for integrated energy. Background Art

[0002] In the field of industrial automation, the automatic control system represented by PLC (Programmable Logic Controller) controls the production equipment, which is basically a relatively closed proprietary system. It has played a great role in promoting industrial production in the past few decades. However, with the advancement of technology, especially the current trend of IT technologies such as the Internet of Things, big data, artificial intelligence, object-oriented and service-oriented architectures being continuously integrated into OT technologies, the demand for openness and intelligence of control systems is very urgent, and "plug-and-play" open automation intelligent control systems have gradually become the goal pursued by users.

[0003] Traditional automatic control technology is based on PLC (Programmable Logic Controller), which is connected to production equipment, instruments and sensors through PLC wires, and localized data communication is achieved through transmission methods such as modbus protocol, HART protocol, profibus protocol, and digital / analog signals. PLC is connected to HMI devices to realize human-machine interaction interface, which is used to manually issue control instructions. PID adjustment control based on feedback control can be realized in PLC. The advantage of this architecture is localized wired deployment and stable control execution. The disadvantage is that it cannot execute intelligent algorithms and is difficult to connect with cloud platform IT systems.

[0004] The current traditional automation control mainly faces the following problems:

[0005] 1) Unable to execute intelligent algorithms. Traditional PLC hardware uses low-end chips with weak computing power, and is a closed basic software system of each manufacturer. Control development can only be done based on the basic logic it provides, which has great limitations. At present, intelligent technology is developing very rapidly. A series of intelligent strategies represented by general large models and industry small models require a large amount of data and parameters in the cloud for reasoning and learning, and are executed on a general operating system in a high-level language. Obviously, traditional PLC controllers cannot meet this demand.

[0006] 2) The control scope is limited to the local area and cannot be coordinated with the cloud. The traditional PLC control system is limited to a station room. It can connect to several control systems by connecting to the host computer system, but the connection work is complicated and cannot be connected automatically. In addition, the amount of data is limited, and big data analysis cannot be performed, and algorithm model training cannot be supported. In addition, the control strategy is fixed, and if there is any adjustment, it needs to be installed and debugged on site. Integration with enterprise IT systems requires each high complexity and high cost.

[0007] 3) Traditional PLC control is project-based delivery. Each project needs to complete bridge wiring construction, on-site point connection debugging, and on-site PLC logic development and debugging according to the on-site conditions. The cycle is long and the cost is high, making it difficult to standardize and promote on a large scale. Summary of the invention

[0008] In view of the above-mentioned defects or shortcomings in the existing technology, it is hoped to provide a cloud-edge-end intelligent control system architecture for integrated energy, which greatly reduces the complexity of on-site work, shortens the construction period, realizes a business model of end-side productization and cloud-based platformization, and supports large-scale promotion.

[0009] The embodiment of the present application provides a cloud-edge-device intelligent control system architecture for integrated energy, including:

[0010] Intelligent control cloud platform, which provides application services for the integrated energy system based on the monitoring data reported by the edge, including business applications, algorithm applications, edge-cloud collaboration, IoT platform, delivery tools, and part or all of monitoring and operation and maintenance;

[0011] The edge end is wirelessly networked with the intelligent control cloud platform. The edge end provides business applications, algorithm applications, data link applications, and native applications of the edge-side server itself, and controls the integrated energy system equipment according to the monitoring data reported by the edge side;

[0012] The end side is wirelessly networked with the edge side, and the end side includes a controller and a detection module, which are used to monitor and control the integrated energy system and send the monitoring data to the edge side.

[0013] In some examples, the intelligent control cloud platform provides a SAAS-based integrated energy and carbon emission management platform product, which includes product components of comprehensive energy consumption, energy-saving reports, refrigeration station systems, terminal air-conditioning systems, heating systems, and hot water systems, as well as basic applications. The basic applications include part or all of the cloud computing platform, Internet of Things platform, big data platform, intelligent algorithm platform, and edge-cloud collaboration platform.

[0014] In some examples, among the application services provided by the intelligent control cloud platform,

[0015] The business application provides users with daily operation monitoring and management of cold source systems and terminal systems, including operation monitoring, strategy management, data analysis, alarm management, and report management services;

[0016] The algorithm application provides data training, algorithm model management, algorithm configuration and algorithm operation analysis services;

[0017] The edge-cloud collaborative service provides application download, algorithm configuration delivery and download update services for the edge;

[0018] The IoT platform provides IoT model management, cloud gateway and IoT data link monitoring services;

[0019] The delivery tool provides IoT access device identification, monitoring signal configuration, control signal configuration, and alarm configuration tool services;

[0020] The monitoring and operation and maintenance provides monitoring and operation and maintenance services for the stable operation of cloud services.

[0021] In some examples, the edge includes an intelligent control hardware and software integrated machine, which can independently run the edge's business applications, algorithm strategies, and control instructions, provide services for refrigeration stations and air conditioners, and be used to connect with the intelligent control cloud platform to achieve data collection, control distribution, and dynamic adjustment of algorithm strategies.

[0022] In some examples, the business applications, algorithm applications, data link applications provided by the edge, and the native applications of the edge server itself, among which:

[0023] The business application provides users with operation monitoring and management of the cold source system and the terminal system;

[0024] The algorithm application provides engineering configuration, deployment execution, execution log and scheduling strategy management functions for the operation of the algorithm;

[0025] The data link application provides the terminal side with model conversion, measurement point data query, real-time data reporting, control command issuance, data supplement and device information reporting functions;

[0026] The native application of the edge-side server itself is the underlying service module, including a data interface and a message bus, wherein the data interface has functions of data collection, control distribution, point table protocol, and model configuration, and the message bus has functions of alarm events, monitoring data, and wireless protocol.

[0027] In some examples, the detection module on the terminal side includes a collection sensor, and the collection sensor includes an energy meter collection sensor and a wireless passive sensor collection sensor.

[0028] In some examples, the energy meter collection sensors include electric meters, flow meters, cooling meters, and heat meters, and the wireless passive sensor collection sensors include temperature, pressure, and humidity sensors.

[0029] In some examples, the end side and edge side use ARM series computing platforms in hardware, the end side uses RTOS real-time operating system for embedded software development, the edge side uses Linux-arm64-bit operating system adapted to the ARM processing platform, and the intelligent control cloud platform uses a general X86 architecture Linux system.

[0030] In some examples, the intelligent control cloud platform builds an Internet of Things platform, completes the unified definition of object model collection points, control instructions, and fault alarms, and completes the remote data access and distribution capabilities of the cloud gateway standard protocol format. The edge-cloud collaborative platform realizes unified management of business applications and algorithm applications deployed on the edge. The delivery tool realizes the unified distribution of cloud model configurations. The edge-side basic platform realizes automatic network formation between wireless terminal devices and edge servers, establishes a uniquely designed communication protocol connection, and establishes a unique communication protocol connection based on MQTT design with the intelligent control cloud platform to realize configuration model data distribution, control instruction distribution, equipment measurement point data collection, and equipment fault data collection. The terminal side receives the standard model configuration, implements protocol and point table parsing for specific equipment, converts it into a data format consistent with the cloud and edge, and realizes automatic device access and standardized information upload.

[0031] In some examples, the intelligent control cloud platform implements an algorithm model reasoning training platform to perform modeling analysis and production optimization strategies based on the collected data.

[0032] The cloud-edge-end intelligent control system architecture of the integrated energy proposed in the embodiment of the present application is composed of the cloud, edge and end. Its intelligent control cloud platform provides application services for the integrated energy system based on the monitoring data reported by the edge. The edge provides business applications, algorithm applications, data link applications and the native applications of the edge server itself, and controls the integrated energy system equipment according to the monitoring data reported by the end. The end monitors and controls the integrated energy system and sends the monitoring data to the edge. As a result, the complexity of on-site work is greatly reduced, the construction period is shortened, and a business model of productization of the end and edge and platformization of the cloud is realized, which supports large-scale promotion.

[0033] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0035] Figure 1 A schematic diagram of a cloud-edge-end intelligent control system architecture for integrated energy according to an embodiment of the present application;

[0036] Figure 2 This is a schematic diagram of the overall architecture of the present application consisting of cloud testing, edge devices, and device-side;

[0037] Figure 3 A schematic diagram of the product system of the cloud-edge-end intelligent control system architecture of the integrated energy of this application;

[0038] Figure 4 This is a detailed schematic diagram of the cloud-edge intelligent control system architecture for integrated energy in this application. DETAILED DESCRIPTION

[0039] The present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant application, rather than to limit the application. It is also necessary to explain that, for ease of description, only the parts related to the application are shown in the accompanying drawings.

[0040] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0041] The following is combined with Figure 1 Describe the cloud-edge intelligent control system architecture of integrated energy according to the embodiment of the present application.

[0042] Figure 1 Schematic diagram of the cloud-edge-end intelligent control system architecture of integrated energy according to an embodiment of the present application. Figure 1 As shown, according to an embodiment of the present application, the cloud-edge-device intelligent control system architecture of integrated energy includes: an intelligent control cloud platform 110, an edge 120 and a device 130, wherein:

[0043] The intelligent control cloud platform 110 provides application services for the integrated energy system based on the monitoring data reported by the edge, and the application services include business applications, algorithm applications, edge-cloud collaboration, IoT platform, delivery tools, and part or all of monitoring and operation and maintenance. The edge 120 is wirelessly networked with the intelligent control cloud platform 110. The edge 120 provides business applications, algorithm applications, data link applications, and native applications of the edge server itself, and controls the integrated energy system equipment according to the monitoring data reported by the end side. The end side 130 is wirelessly networked with the edge 120. The end side 130 includes a controller and a detection module, which are used to monitor and control the integrated energy system and send the monitoring data to the edge.

[0044] The intelligent control cloud platform 110 is also referred to as the cloud or cloud testing. Figure 2 As shown, the overall architecture consisting of cloud testing, edge devices and device-side is shown.

[0045] The cloud provides a SAAS-based integrated energy and carbon emission management platform product, covering functions such as operation monitoring, analysis and diagnosis, intelligent control, and report analysis, including a series of platform product components such as comprehensive energy consumption, energy-saving reports, refrigeration station systems, terminal air-conditioning systems, heating systems, and hot water systems; as well as PAAS layer basic applications, including: cloud computing platform, Internet of Things platform, big data platform, intelligent algorithm platform, and edge-cloud collaboration platform.

[0046] The edge provides an intelligent control hardware and software all-in-one machine that can be disconnected from the Internet and independently run edge business applications, algorithm strategies, and control instructions, providing independent services for scenarios such as refrigeration stations and air-conditioning terminals. It can be seamlessly connected with the cloud system to achieve data collection, control distribution, and dynamic adjustment and distribution of algorithm strategies.

[0047] The end side provides a series of hardware such as wireless device controllers, wireless passive temperature and pressure sensors, etc., which do not require construction, modification or wiring, can be quickly deployed and delivered, and are plug-and-play. They can also automatically connect to the edge intelligent control all-in-one machine and the cloud platform system, which can greatly reduce construction costs, software platform docking costs, and shorten delivery cycles.

[0048] like Figure 3 As shown, the product system of the cloud-edge intelligent control system architecture for integrated energy is shown.

[0049] in:

[0050] Cloud services provide comprehensive application services such as business applications, algorithm applications, edge-cloud collaboration, IoT platforms, delivery tools, and monitoring and operation and maintenance.

[0051] Business applications are user-side products that provide users with daily operation monitoring and management of cold source systems and terminal systems, including major core functions such as operation monitoring, strategy management, data analysis, alarm management, and report management;

[0052] Algorithm applications provide backend algorithm services such as data training, algorithm model management, algorithm configuration, and algorithm operation analysis;

[0053] Edge-cloud collaborative services provide professional application downloads, algorithm configuration distribution, and download updates for edge products.

[0054] The IoT platform provides services such as IoT model management, cloud gateway, and IoT data link monitoring;

[0055] The delivery tool provides services such as IoT access device identification, monitoring signal configuration, control signal configuration, and alarm configuration tools, which can quickly build front-end business applications.

[0056] Monitoring and operation and maintenance services are provided to ensure the stable operation of all cloud services.

[0057] Edge application products

[0058] Edge-side application products provide business applications, algorithm applications, data link applications, and native applications of the edge-side server itself.

[0059] Business applications provide users with operational monitoring and management of cold source systems and terminal systems, including topology & diagrams, multi-device control, policy management, alarm management and other core functions;

[0060] Algorithm applications provide engineering configuration, deployment execution, execution logs, and scheduling strategy management for the operation of various algorithms;

[0061] The data link application provides the end-side equipment with functions such as model conversion, measurement point data query, real-time data reporting, control command issuance, data supplementation and equipment information reporting;

[0062] The native applications of the edge-side server are mainly the underlying service modules, which include a data interface and a message bus. The data interface module has functions such as data collection, control distribution, point table protocol, and model configuration. The message bus module has functions such as alarm events, monitoring data, and wireless protocols.

[0063] Hardware Products

[0064] Edge Server:

[0065] High-performance ARM cortex-A architecture, optional computing power such as: 4 cores 8G memory 32G hard drive.

[0066] Wireless network, dual-channel Lora (real-time control + low-power acquisition), full network 4G.

[0067] Safe and stable operation, with power-off alarm, safe shutdown, and dual-machine hot standby capabilities.

[0068] A single server can connect to 29 control devices and 59 acquisition devices (32 slaves).

[0069] Databases, message middleware, algorithm applications, business applications, etc. can be deployed.

[0070] Device Controller:

[0071] ARM cortex-M microprocessor architecture, low-cost dedicated hardware.

[0072] Wireless network, Lora communication, exclusive protocol, automatic networking.

[0073] Digital input\output, single controller supports 4-8 device hard contacts.

[0074] Real-time systems & embedded applications, high response speed.

[0075] Acquisition sensor:

[0076] Special energy instrument collection, including: electricity meter, flow meter\cooling meter\heat meter, etc.

[0077] Wireless passive sensor collection, including: temperature, pressure, humidity, etc. Wireless networking, lora module, can be battery powered.

[0078] The above instrument collection and sensor collection can automatically form a network with the edge server, automatically identify device instances, and automatically connect to the software platform.

[0079] like Figure 4 As shown, a detailed schematic diagram of the cloud-edge intelligent control system architecture for integrated energy is shown, including: hardware & operating system environment.

[0080] The end and edge hardware uses the open ARM series computing platform.

[0081] The end side uses a more real-time RTOS real-time operating system for embedded software development

[0082] The edge uses the Linux-arm64-bit operating system adapted to the ARM processing platform, which can deploy and run edge business applications and algorithm strategies developed in high-level languages.

[0083] The cloud uses the general X86 architecture Linux system and deploys a series of highly available and scalable cloud-native software platforms.

[0084] Basic platform part:

[0085] Complete the opening of north-south data and control links, achieve unified configuration of cloud, edge, and end with standardized models, and keep the properties of communication objects consistent.

[0086] Build an IoT platform in the cloud to complete the unified definition of physical model collection points, control instructions, and fault alarms; complete the remote data access and distribution capabilities of the cloud gateway standard protocol format; the edge-cloud collaborative platform realizes the unified management of business applications and algorithm applications deployed on the edge; the delivery tool realizes the unified distribution of cloud model configurations.

[0087] The edge basic platform enables wireless devices to automatically form a lora network with edge servers and establish a uniquely designed communication protocol connection. It also establishes a unique communication protocol connection with the cloud based on MQTT. It enables configuration model data delivery, control command delivery, equipment measurement point data collection, and equipment fault data collection.

[0088] The end side receives the standard model configuration, implements protocol and point table parsing for specific devices, converts them into a data format consistent with the cloud and edge, and realizes automatic device access and standardized information upload.

[0089] Business applications are based on the basic platform and develop a series of software applications such as professional monitoring, operation and maintenance, fault alarm, energy consumption analysis, optimization diagnosis, control strategy execution, and strategy effect feedback analysis based on the characteristics of each industry. Under the current integrated architecture:

[0090] The cloud side realizes unified management of applications in different industries and remotely distributes and deploys them.

[0091] The platform provides unified device model definition, communication protocol format, data storage interface, and message communication interface to complete application development.

[0092] Cloud-side applications are based on cloud platform big data and cloud computing basic middleware, and have large-scale data integration and computing capabilities to complete complex logical processing of long-term and massive data and comprehensive analysis of multiple production equipment systems.

[0093] Edge applications complete basic business logic processing based on local lightweight data storage and message communication capabilities.

[0094] Cloud-edge applications complete a series of collaborative operations such as configuration, data, and control through collaborative systems to ensure the consistency of cloud-edge systems.

[0095] Algorithm applications are also supported by the basic platform to complete the execution of proprietary algorithms in various industries, which can achieve fault diagnosis, operation optimization, strategy execution feedback analysis, and continuous reasoning optimization.

[0096] The cloud side implements an algorithm model inference training platform to perform modeling analysis and production optimization strategies based on the massive data collected by a large number of underlying devices.

[0097] The edge cloud platform pushes strategies to each edge server for automatic execution, collects feedback data in real time, adjusts the strategy itself, and pushes it to the edge for execution.

[0098] The basic platform provides a unified data interface and a control instruction execution interface, on which the algorithm can develop standard strategies, with a focus on adjusting the algorithm logic.

[0099] IoT device monitoring:

[0100] It realizes the operation status monitoring of the terminal controller, sensor acquisition hardware equipment and edge computing server hardware equipment to ensure the stable operation of the hardware.

[0101] It implements end-to-end LoRa communication monitoring and cloud-edge-to-end 4G communication monitoring to ensure smooth communication links. It implements software operation monitoring of basic applications, business applications, and algorithm applications to ensure the normal execution of processing logic.

[0102] This architecture integrates open platforms, replacing the traditional closed PLC control architecture, and implements an open platform-based automation control system based on the ARM-cortex-M architecture and RTOS system on the end side, the ARM-cortex-A architecture and linux-arm64 system on the edge side, and the x86 architecture and linux-x86 system on the cloud side. Standardized object model design and unified configuration management realize the standardization of cloud model definition, edge data collection and control distribution, and end-side protocol point table wiring, greatly simplifying the integration of OT data and IT data. Standardized cloud-edge-end communication protocol design ensures automatic docking of cloud-to-end data links. The unique protocol format of cloud-edge 4G communication, edge Lora communication and unique protocol definition, and the communication protocol and point table accumulation between the end side and production equipment realize the automatic access of a series of equipment such as production equipment, instruments, and sensors to the cloud-side IT system. Unified management of cloud-side business applications and algorithm applications realizes the cloud application market, which can remotely configure and distribute, deploy and upgrade business applications and algorithm applications deployed on the edge side, and dynamically change control strategies and algorithm strategies according to on-site conditions. The standardized end-edge-end IoT control device system realizes automatic wireless networking and sensor data collection without power supply, and no longer requires on-site wiring construction. It realizes automatic device identification, docking with IT systems, and can remotely debug local equipment, which greatly reduces the complexity of on-site work and shortens the construction period. It realizes an end-edge productization and cloud platformization business model, and supports large-scale promotion.

[0103] According to the cloud-edge-end intelligent control system architecture of the integrated energy of the embodiment of the present application, it is composed of the cloud, edge and end. Its intelligent control cloud platform provides application services for the integrated energy system based on the monitoring data reported by the edge. The edge provides business applications, algorithm applications, data link applications and the native applications of the edge server itself, and controls the integrated energy system equipment according to the monitoring data reported by the end. The end monitors and controls the integrated energy system and sends the monitoring data to the edge. As a result, the complexity of on-site work is greatly reduced, the construction period is shortened, and the business model of end-edge productization and cloud platformization is realized, which supports large-scale promotion.

[0104] It should be noted that the computer-readable medium shown in the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0105] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operating instructions of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the aforementioned module, program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, the boxes represented by two connections can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operating instruction, or can be implemented with a combination of dedicated hardware and computer instructions.

[0106] The units or modules involved in the embodiments described in the present application may be implemented by software or hardware. The units or modules described may also be arranged in a processor. The names of these units or modules do not, in some cases, constitute limitations on the units or modules themselves.

[0107] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. A cloud-edge-end intelligent control system architecture for integrated energy, characterized in that: include: Intelligent control cloud platform, which provides application services for the integrated energy system based on the monitoring data reported by the edge, including business applications, algorithm applications, edge-cloud collaboration, IoT platform, delivery tools, and part or all of monitoring and operation and maintenance; The edge end is wirelessly networked with the intelligent control cloud platform. The edge end provides business applications, algorithm applications, data link applications, and native applications of the edge-side server itself, and controls the integrated energy system equipment according to the monitoring data reported by the edge side; The end side is wirelessly networked with the edge side, and the end side includes a controller and a detection module, which are used to monitor and control the integrated energy system and send the monitoring data to the edge side.

2. The cloud-edge-end intelligent control system architecture of integrated energy according to claim 1 is characterized in that: The intelligent control cloud platform provides a SAAS-based comprehensive energy and carbon emission management platform product, which includes product components of comprehensive energy consumption, energy-saving reports, refrigeration station systems, terminal air-conditioning systems, heating systems, and hot water systems, as well as basic applications. The basic applications include part or all of the cloud computing platform, Internet of Things platform, big data platform, intelligent algorithm platform, and edge-cloud collaborative platform.

3. The cloud-edge-end intelligent control system architecture of integrated energy according to claim 1 or 2 is characterized in that: The application services provided by the intelligent control cloud platform include: The business application provides users with daily operation monitoring and management of cold source systems and terminal systems, including operation monitoring, strategy management, data analysis, alarm management, and report management services; The algorithm application provides data training, algorithm model management, algorithm configuration and algorithm operation analysis services; The edge-cloud collaborative service provides application download, algorithm configuration delivery and download update services for the edge; The IoT platform provides IoT model management, cloud gateway and IoT data link monitoring services; The delivery tool provides IoT access device identification, monitoring signal configuration, control signal configuration, and alarm configuration tool services; The monitoring and operation and maintenance provides monitoring and operation and maintenance services for the stable operation of cloud services.

4. The cloud-edge-end intelligent control system architecture of integrated energy according to claim 1 is characterized in that: The edge includes an intelligent control hardware and software integrated machine, which can independently run the edge's business applications, algorithm strategies, and control instructions, provide services for refrigeration stations and air conditioners, and be used to connect with the intelligent control cloud platform to achieve data collection, control distribution, and dynamic adjustment of algorithm strategies.

5. The cloud-edge-end intelligent control system architecture of integrated energy according to claim 1 or 4 is characterized in that: The business applications, algorithm applications, data link applications provided by the edge and the native applications of the edge server itself, among which: The business application provides users with operation monitoring and management of the cold source system and the terminal system; The algorithm application provides engineering configuration, deployment execution, execution log and scheduling strategy management functions for the operation of the algorithm; The data link application provides the terminal side with model conversion, measurement point data query, real-time data reporting, control command issuance, data supplement and device information reporting functions; The native application of the edge-side server itself is the underlying service module, including a data interface and a message bus, wherein the data interface has functions of data collection, control distribution, point table protocol, and model configuration, and the message bus has functions of alarm events, monitoring data, and wireless protocol.

6. The cloud-edge-end intelligent control system architecture of integrated energy according to claim 1 is characterized in that: The detection module on the terminal side includes a collection sensor, and the collection sensor includes an energy meter collection sensor and a wireless passive sensor collection sensor.

7. The cloud-edge-end intelligent control system architecture of integrated energy according to claim 6 is characterized in that: The energy meter collection sensors include electric meters, flow meters, cooling meters and heat meters, and the wireless passive sensor collection sensors include temperature, pressure and humidity sensors.

8. The cloud-edge-end intelligent control system architecture of integrated energy according to claim 1 is characterized in that: The end side and edge side use ARM series computing platform in hardware, the end side uses RTOS real-time operating system for embedded software development, the edge side uses Linux-arm64-bit operating system adapted to ARM processing platform, and the intelligent control cloud platform uses the general X86 architecture Linux system.

9. The cloud-edge-end intelligent control system architecture of integrated energy according to claim 1 is characterized in that: The intelligent control cloud platform builds an Internet of Things platform, completes the unified definition of object model collection points, control instructions, and fault alarms, and completes the remote data access and distribution capabilities of the cloud gateway standard protocol format. The edge-cloud collaborative platform realizes the unified management of business applications and algorithm applications deployed on the edge. The delivery tool realizes the unified distribution of cloud model configurations. The edge-side basic platform realizes the automatic establishment of a network between wireless terminal devices and edge servers, establishes a uniquely designed communication protocol connection, and establishes a unique communication protocol connection based on MQTT design with the intelligent control cloud platform to realize the distribution of configuration model data, control instruction distribution, equipment measurement point data collection, and equipment fault data collection. The terminal receives the standard model configuration, implements protocol and point table parsing for specific equipment, converts it into a data format consistent with the cloud and edge, and realizes automatic device access and standardized information upload.

10. The cloud-edge-end intelligent control system architecture of integrated energy according to claim 1 is characterized in that: The intelligent control cloud platform implements an algorithm model reasoning training platform, performs modeling analysis and produces optimization strategies based on the collected data.

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