WO2024230205A1 - 水系统的虚拟调试方法 - Google Patents

水系统的虚拟调试方法 Download PDF

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Publication number
WO2024230205A1
WO2024230205A1 PCT/CN2024/070199 CN2024070199W WO2024230205A1 WO 2024230205 A1 WO2024230205 A1 WO 2024230205A1 CN 2024070199 W CN2024070199 W CN 2024070199W WO 2024230205 A1 WO2024230205 A1 WO 2024230205A1
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Prior art keywords
target data
data
debugging
computer room
edge node
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PCT/CN2024/070199
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English (en)
French (fr)
Inventor
单以琳
岳宝
范波
阎杰
李元阳
方兴
孙井纬
缪淼
张晓君
刘峥
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Shanghai Kong Intelligent Building Co Ltd
GD Midea Heating and Ventilating Equipment Co Ltd
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Shanghai Kong Intelligent Building Co Ltd
GD Midea Heating and Ventilating Equipment Co Ltd
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Publication of WO2024230205A1 publication Critical patent/WO2024230205A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply

Definitions

  • the present disclosure relates to the technical field of water systems, and in particular to a virtual debugging method, device and electronic equipment for a water system.
  • the existing technology generally adopts the on-site debugging method.
  • the control logic will eventually be executed on the on-site equipment, such as water machines, water pumps, cooling towers, etc. These devices have high power consumption and require more electricity, which increases the cost of the project in repeated on-site debugging.
  • on-site equipment is usually arranged at a long distance, and a lot of manpower and time are required to complete a complete test. If the logic modified on-site is not considered in terms of functional safety, it may cause irreparable damage to the equipment.
  • the purpose of the present invention is to provide a virtual debugging method, device and electronic equipment for a water system, so that the debugging personnel can debug the operating units of the water system without going to the site, thereby increasing the debugging efficiency, reducing costs and improving customer satisfaction.
  • the embodiment of the present disclosure provides a virtual debugging method for a water system, the method comprising: an edge node receives a received The data is decomposed to obtain target data, and the target data is classified; if the target data is debugging data, the target data is sent to the computer room operation and maintenance system; if the computer room operation and maintenance system receives the target data, the target data is sent to the operating unit, so that the operating unit performs debugging operations based on the target data.
  • the above method also includes: the terminal device of the debugger sends the interaction data to the cloud server; the cloud server generates cloud data based on the interaction data, and sends the cloud data to the edge node.
  • the step in which the terminal device of the debugger sends the interaction data to the cloud server includes: the terminal device of the debugger sends the interaction data to the cloud server through a test case; the step in which the cloud server generates cloud data based on the interaction data includes: the cloud server subscribes to and publishes the interaction data to obtain the cloud data.
  • the method further includes: the edge node performs a parameter update operation based on the target data.
  • the method after the above-mentioned step of classifying the target data, also includes: sending the target data to the self-organizing network system; if the self-organizing network system receives the target data, the target data is sent to the devices included in the self-organizing network system, so that the devices included in the self-organizing network system perform operations corresponding to the target data; wherein the self-organizing network system includes a direct digital controller.
  • the method after the above-mentioned step of classifying the target data, also includes: sending the target data to the computer room twin model system; if the computer room twin model system receives the target data, performing a model debugging operation on the water system model included in the computer room twin model system based on the target data.
  • the above method further includes: the edge node generates target data in response to the operation of the debugger.
  • the above method also includes: the edge node sends the target data to the computer room operation and maintenance system; the computer room operation and maintenance system sends the target data to the operating unit based on the selector; or, the computer room operation and maintenance system sends the target data to the computer room twin model system based on the selector.
  • the above-mentioned terminal device is connected to the cloud server, the cloud server is connected to the edge node, the computer room operation and maintenance system, the self-organizing network system and the computer room twin model system are all connected to the edge node, and the computer room operation and maintenance system is connected to the operating unit; wherein, the edge node is deployed in the operating scenario of the operating unit.
  • the disclosed embodiment also provides a virtual debugging device for a water system, which includes: a data decomposition module, which is used for the edge node to decompose the received data to obtain target data and classify the target data; a target data sending module, which is used for sending the target data to the computer room operation and maintenance system if the target data is debugging data; and an operating unit debugging module, which is used for the computer room operation and maintenance system to send the target data to the operating unit if the target data is received, so that the operating unit performs debugging operations based on the target data.
  • a data decomposition module which is used for the edge node to decompose the received data to obtain target data and classify the target data
  • a target data sending module which is used for sending the target data to the computer room operation and maintenance system if the target data is debugging data
  • an operating unit debugging module which is used for the computer room operation and maintenance system to send the target data to the operating unit if the target data is received, so that the
  • the present disclosure also provides a water system, including:
  • Virtual commissioning device for operating units, machine room operation and maintenance systems and water systems as mentioned above.
  • An embodiment of the present disclosure also provides an electronic device, including a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the virtual debugging method of the water system.
  • the embodiment of the present disclosure also provides a computer-readable storage medium, which stores computer-executable instructions.
  • the computer-executable instructions When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the virtual debugging method of the water system.
  • the disclosed embodiment provides a virtual debugging method, device and electronic device for a water system, wherein the edge node decomposes the received data to obtain target data and classifies the target data; if the target data is debugging data, the target data is sent to the computer room operation and maintenance system; if the computer room operation and maintenance system receives the target data, the target data is sent to the operating unit so that the operating unit performs debugging operations based on the target data.
  • the debugging personnel can debug the operating unit of the water system without going to the site, thereby increasing the debugging efficiency, reducing costs and improving customer satisfaction.
  • FIG1 is a flow chart of a virtual debugging method for a water system provided by an embodiment of the present disclosure
  • FIG2 is a schematic diagram of an architecture of remote debugging of a water system provided by an embodiment of the present disclosure
  • FIG3 is a flow chart of another virtual debugging method of a water system provided by an embodiment of the present disclosure.
  • FIG4 is a schematic diagram of a remote debugging method provided by an embodiment of the present disclosure.
  • FIG5 is a schematic diagram of an architecture of on-site commissioning of a water system provided by an embodiment of the present disclosure
  • FIG6 is a schematic diagram of an on-site debugging provided by an embodiment of the present disclosure.
  • FIG7 is a schematic diagram of a data flow for edge debugging provided by an embodiment of the present disclosure.
  • FIG8 is a schematic structural diagram of a virtual debugging device for a water system provided by an embodiment of the present disclosure
  • FIG. 9 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure.
  • the existing technology generally adopts the on-site debugging method.
  • the control logic will eventually be executed on the on-site equipment, such as water machines, water pumps, cooling towers, etc. These devices have high power consumption and require more electricity, which increases the cost of the project in repeated on-site debugging.
  • on-site equipment is usually arranged at a long distance, and a lot of manpower and time are required to complete a complete test. If the logic modified on-site is not considered in terms of functional safety, it may cause irreparable damage to the equipment.
  • the existing air conditioning water system generally adopts the on-site debugging method, which has the following problems: 1.
  • the on-site debugging environment of the air conditioning water system is complex, the debugging process is slow, and the debugging equipment consumes a lot of energy.
  • the on-site debugging equipment of the air conditioning water system is unsafe to operate and requires remote response.
  • the on-site debugging protocols of the air conditioning water system are diverse, the equipment connection is complex, and safety cannot be guaranteed.
  • the embodiments of the present disclosure provide a virtual debugging method, device and electronic equipment for a water system.
  • the debugging personnel can debug the operating units of the water system without going to the site, thereby increasing the debugging efficiency and reducing the energy consumption of the debugging equipment; no remote response is required to ensure the safe operation of the on-site debugging equipment; and the equipment can be quickly connected, thereby improving customer satisfaction.
  • Water systems are often used for cooling and heating in large buildings.
  • the indoor load is borne by the system's hot and cold water units.
  • the room fan coil is connected to the hot and cold water operation unit through pipes, and provides cooling and heating by providing hot and cold water.
  • the water system can include a chilled water circulation system, a cooling water circulation system, and a host computer.
  • the present disclosure provides a virtual debugging method for a water system.
  • FIG. 1 a flowchart of a virtual debugging method for a water system is shown.
  • the virtual debugging method for a water system includes the following steps:
  • Step S102 the edge node decomposes the received data to obtain target data, and classifies the target data.
  • the edge nodes in the embodiments of the present disclosure are generally set at the site of the operating unit.
  • the edge node is a logical abstraction of the basic common capabilities of various edge-side product forms such as edge gateways, edge controllers, and edge servers, and can have common capabilities such as real-time data analysis, local data storage, and real-time network connection on the edge side.
  • the edge node can receive cloud data sent by the cloud server, decompose the cloud data to obtain target data, and classify the target data.
  • the edge node can also receive non-cloud data, decompose the non-cloud data to obtain target data, and classify the target data.
  • Step S104 if the target data is debugging data, the target data is sent to the computer room operation and maintenance system.
  • the edge node can send the target data to the computer room operation and maintenance system.
  • the edge node can also send the self-organizing network system or the computer room twin model system.
  • the computer room operation and maintenance system is used to maintain the running units.
  • the running units refer to the physical equipment running in the water system.
  • the running units can be: water machines, water pumps, cooling towers and other equipment.
  • the ad hoc network system is a network that combines mobile communications and computer networks. The information exchange of the network adopts the packet switching mechanism in the computer network.
  • the user terminal is a portable terminal that can be moved. Each user terminal in the ad hoc network has both the functions of a router and a host.
  • multiple virtual water system models can be set up in the twin model system of the computer room, and the water system models can also be debugged in the embodiments of the present disclosure.
  • the embodiments of the present disclosure can establish a water system model based on the Modelica language, and generate each component in the water system model into a dynamic link library that can be deployed on the Linux embedded platform, so that each component model can be upgraded separately, reducing the data traffic required for the upgrade.
  • Modelica is an open, object-oriented, equation-based computer language that can cross different fields and easily realize the modeling of complex physical systems, including: mechanical, electronic, electrical, hydraulic, thermal, control and process-oriented subsystem models.
  • Step S106 If the computer room operation and maintenance system receives the target data, it sends the target data to the operating unit, so that the operating unit performs debugging operations based on the target data.
  • the computer room operation and maintenance system receives the target data and sends the target data to the operating unit, and the operating unit can debug based on the target data. Therefore, the embodiment of the present disclosure adopts the cloud and edge end to realize a one-stop water system debugging solution, which allows the debugging personnel to debug no matter where they are. It is able to modify the control strategy of the operating units of the on-site air conditioning water system, verify the control effect and deploy the final strategy.
  • the disclosed embodiment provides a virtual debugging method for a water system, wherein the edge node decomposes the received data to obtain target data and classifies the target data; if the target data is debugging data, the target data is sent to the computer room operation and maintenance system; if the computer room operation and maintenance system receives the target data, the target data is sent to the operating unit, so that the operating unit performs debugging operations based on the target data.
  • the debugging personnel can debug the operating unit of the water system without going to the site, thereby increasing the debugging efficiency, reducing costs, and improving customer satisfaction.
  • An embodiment of the present disclosure provides another virtual debugging method for a water system, which is implemented on the basis of the above embodiment.
  • the terminal device is connected to the cloud server
  • the cloud server is connected to the edge node
  • the computer room operation and maintenance system is connected to the edge node
  • the self-organizing network system and the computer room twin model system are all connected to the edge node
  • the computer room operation and maintenance system is connected to the operating unit; wherein the edge node is deployed in the operating scenario of the operating unit.
  • a multi-verification protocol can be used to ensure the data security of the entire link and reduce the probability of communication failures and human errors.
  • a flow chart of another method for virtual commissioning of a water system includes the following steps:
  • Step S302 The debugging personnel's terminal device sends the interaction data to the cloud server.
  • the debugging personnel can be the personnel who conduct virtual debugging of the water system.
  • the terminal device of the debugging personnel can be a computer, mobile phone, tablet computer or other device with human-computer interaction and communication functions.
  • the debugging personnel can generate interaction data by operating the terminal device, and the terminal device of the debugging personnel sends the interaction data to the cloud server.
  • the terminal device of the debugger in the embodiments of the present disclosure can send the interaction data to the cloud server through the test case.
  • remote debugging can be used.
  • the debugging personnel can send instructions and data to the cloud server by writing test cases or directly controlling the unit.
  • Step S304 The cloud server generates cloud data based on the interaction data and sends the cloud data to the edge node.
  • the cloud server is a simple, efficient, secure, reliable, and elastic computing service.
  • the cloud server can receive the interactive data sent by the debugger's terminal device, generate cloud data based on the interactive data, and send the cloud data to the edge node.
  • the cloud server in the embodiments of the present disclosure may subscribe to and publish the interactive data to obtain cloud data.
  • the cloud server can use MQTT based on Modelica (Message Queue Telemetry Transport) nodes subscribe to and publish interactive data.
  • MQTT is a client-server based message publish/subscribe transport protocol.
  • the MQTT protocol is lightweight, simple, open and easy to implement, which makes it very widely applicable. In many cases, including restricted environments such as machine-to-machine communication and the Internet of Things. MQTT has been widely used in sensors communicating via satellite links, medical devices that occasionally dial up, smart homes, and some miniaturized devices.
  • step S306 the edge node decomposes the received data to obtain target data, and classifies the target data; if the target data is debugging data, the target data is sent to the computer room operation and maintenance system.
  • the edge nodes in the disclosed embodiments can be deployed on-site at the operating unit.
  • the edge nodes deployed on-site are responsible for decomposing the cloud data to obtain target data, determining which target data interacts with the computer room operation and maintenance system; which target data interacts with the computer room twin model system; which target data updates the edge node's own parameters; and which target data interacts with the self-organizing network system. Whether it is necessary to test based on actual equipment, or whether some equipment is actual and some equipment is a model, or all equipment is a model. These can all be adjusted based on user needs.
  • the edge node in the embodiments of the present disclosure performs a parameter update operation based on the target data. If the edge node determines that the target data is to update the edge node's own parameters, the edge node may perform a parameter update operation to update the edge node's own parameters.
  • the target data can be sent to a self-organizing network system in the embodiments of the present disclosure; if the self-organizing network system receives the target data, the target data is sent to the devices included in the self-organizing network system, so that the devices included in the self-organizing network system perform operations corresponding to the target data; wherein, the self-organizing network system includes a direct digital controller (DDC, Direct Digital Control).
  • DDC Direct Digital Controller
  • composition of a DDC controller usually includes central control equipment (centralized control computer, color monitor, keyboard, printer, uninterruptible power supply, communication interface, etc.), on-site DDC controller, communication network, and corresponding sensors, actuators, control valves and other components.
  • central control equipment centralized control computer, color monitor, keyboard, printer, uninterruptible power supply, communication interface, etc.
  • on-site DDC controller communication network
  • sensors corresponding sensors, actuators, control valves and other components.
  • the DDC controller is the core of the entire control system and the key component for the system to realize control functions. Its working process is that the controller collects real-time data through analog input channels (AI) and digital input channels (DI), and converts analog signals into digital signals that can be received by computers (A/D conversion), and then performs calculations according to certain control rules, and finally sends out control signals, and converts digital signals into analog signals (D/A conversion), and directly controls the operation of the equipment through analog output channels (AO) and digital output channels (DO).
  • AI analog input channels
  • DI digital input channels
  • the target data can be sent to the computer room twin model system in the embodiments of the present disclosure; if the computer room twin model system receives the target data, it performs model debugging operations on the water system model included in the computer room twin model system based on the target data.
  • Multiple virtual water system models can be set in the twin model system of the computer room.
  • the embodiment of the present disclosure can be based on The water system model is established using the Modelica language, and each component in the water system model is separately generated into a dynamic link library that can be deployed on the Linux embedded platform. This allows the individual upgrade of each component model and reduces the data traffic required for the upgrade.
  • the terminal device of the debugger first prepares the instruction and sends the instruction to the cloud server.
  • the cloud server receives the instruction, handles the exception, and then processes the instruction.
  • the edge node receives the instruction, processes Modbus, Bacnet (a communication protocol for smart buildings) and DB (database) in turn, handles the exception, and classifies the instruction.
  • the classified instructions can be processed by the cloud server, and the results are recorded and returned to the debugger's terminal device.
  • the classified instructions can also be processed by the twin model system of the computer room. After receiving the instructions, the twin model system of the computer room obtains the data sent by the computer room operation and maintenance system, runs the solution, and writes the data. Then, the data sent by the computer room operation and maintenance system is obtained again, the solution is run, and the data is written. If an abnormality occurs, an alarm is issued, and finally the instructions and data are sent to the edge node.
  • the debugger in the disclosed embodiment can also perform on-site debugging through edge nodes set up on site, for example: the edge node responds to the debugger's operation and generates target data. That is, the debugger can directly operate through the edge node, and the edge node generates the target data.
  • the edge node in the embodiments of the present disclosure sends the target data to the computer room operation and maintenance system; the computer room operation and maintenance system sends the target data to the operating unit based on the selector; or, the computer room operation and maintenance system sends the target data to the computer room twin model system based on the selector.
  • the debugging personnel can link the edge node and the control and operation system through on-site debugging.
  • the model server, test server, etc. can be deployed in the edge node.
  • the user can enter the network through the local server, and the relevant operations are consistent with the cloud server.
  • the on-site debugging method based on the edge node is more secure, and because there are professional technicians on site, the on-site equipment can be processed more quickly.
  • the remote debugging method based on the cloud does not require the debugging personnel to be on site, and can provide customers with effective solutions in a timely manner.
  • the debugger first prepares the instruction and sends it to the edge node.
  • the edge node receives the instruction, handles the exception, and then processes the instruction.
  • the edge node processes Modbus, Bacnet (a smart building and DB), handles the exception, and classifies the instruction.
  • the classified instructions can be processed by the edge node, and the results are recorded and returned to the terminal device of the debugger.
  • the classified instructions can also be processed by the twin model system of the computer room. After receiving the instructions, the twin model system of the computer room obtains the operation status of the computer room. The data sent by the maintenance system is obtained, the solution is run, and the data is written. Then the data sent by the computer room operation and maintenance system is obtained again, the solution is run, and the data is written. If an abnormality occurs, an alarm is issued, and finally the command and data are sent to the edge node.
  • the user when deployed on the edge side, the user needs to combine the edge node with the original operation and maintenance system, and can process the data and equipment that need to be controlled through the selector, such as the cooling tower speed, the freezing side water pump speed, the cooling side water pump speed, the inlet and outlet water temperatures, etc.
  • the selector can choose whether to use the model data or the actual device data, whether to use the control of the field controller or the control modified by the user according to the needs.
  • complex functions can be realized, such as fault injection, data correction, communication simulation, equipment switching, multi-objective optimization, etc. These tools can effectively solve problems in the debugging process.
  • Step S308 If the computer room operation and maintenance system receives the target data, it sends the target data to the operating unit, so that the operating unit performs debugging operations based on the target data.
  • the above method provided by the embodiment of the present disclosure evaluates whether a cloud-based debugging framework can be adopted based on the security level of the installation and debugging site. If a cloud-based framework is used, a security protocol that is linked to the cloud is enabled at the edge.
  • the disclosed embodiment deploys a user server in the cloud, a simulation model update service, and a multi-verification instant messaging service. After the user accesses the server through a web page, the server deployed on the edge side is started through the instant messaging service, the edge side returns the status, and the system starts to enter the remote debugging function.
  • the disclosed embodiment deploys a user server, a model server, and a communication component on the edge side.
  • the user server is responsible for enabling the user to interact with the system model and the actual unit equipment, and realizes functions such as testing, fault injection, communication simulation, multi-objective optimization, and model update.
  • the user server and the model server are connected via IPC (Inter-Process Communication), and the data flow is controlled by the selector.
  • the edge end of the disclosed embodiment accesses the field control network through Bacnet IP (Internet Protocol), Modbus-TCP (transmission control protocol), and Modbus-RTU (Remote Terminal Unit) interfaces.
  • Bacnet IP Internet Protocol
  • Modbus-TCP transmission control protocol
  • Modbus-RTU Remote Terminal Unit
  • the data accessed to the network is completed in the networking communication component.
  • the data returned by the model and the field equipment are distinguished by the selector.
  • the output data of the model can be compared with the data of the field equipment to determine the location of the problem.
  • the disclosed embodiment can establish a water system model based on the Modelica language, which can solve the problem of slow on-site debugging of the air-conditioning water system.
  • Each component in the water system model can be separately generated into a dynamic link library that can be deployed on the Linux embedded platform, which can realize the separate upgrade of each component model and reduce the data traffic required for the upgrade.
  • the disclosed embodiment adopts the cloud and edge methods to realize a one-stop water system debugging solution, which allows the debugging personnel to modify the control strategy, verify the control effect and deploy the final strategy for the operating units of the on-site air-conditioning water system no matter where they are.
  • a multi-verification protocol can be used to ensure the data security of the entire link and reduce the probability of communication failures and human errors.
  • the embodiment of the present disclosure provides a virtual debugging device for a water system.
  • a structural schematic diagram of a virtual debugging device for a water system is shown.
  • the virtual debugging device for a water system includes:
  • the data decomposition module 81 is used for the edge node to decompose the received data to obtain target data and classify the target data;
  • the target data sending module 82 is used to send the target data to the computer room operation and maintenance system if the target data is debugging data;
  • the running unit debugging module 83 is used for the computer room operation and maintenance system to send the target data to the running unit if it receives the target data, so that the running unit performs the debugging operation based on the target data.
  • the disclosed embodiment provides a virtual debugging device for a water system, wherein the edge node decomposes the received data to obtain target data and classifies the target data; if the target data is debugging data, the target data is sent to the computer room operation and maintenance system; if the computer room operation and maintenance system receives the target data, the target data is sent to the operating unit, so that the operating unit performs debugging operations based on the target data.
  • the debugging personnel can debug the operating unit of the water system without going to the site, thereby increasing the debugging efficiency, reducing costs, and improving customer satisfaction.
  • the above device includes: a cloud data processing module, which is used for the terminal device of the debugger to send the interactive data to the cloud server; the cloud server generates cloud data based on the interactive data and sends the cloud data to the edge node
  • the above-mentioned cloud data processing module is used for the terminal device of the debugging personnel to send the interactive data to the cloud server through the test case; the above-mentioned cloud data processing module is used for the cloud server to subscribe to and publish the interactive data to obtain the cloud data.
  • the above device also includes: an edge node updating module, which is used for the edge node to perform parameter updating operations based on the target data.
  • the above-mentioned device also includes: a self-organizing network system processing module, which is used to send the target data to the self-organizing network system; if the self-organizing network system receives the target data, the target data is sent to the equipment included in the self-organizing network system, so that the equipment included in the self-organizing network system performs the operation corresponding to the target data; wherein the self-organizing network system includes a direct digital controller.
  • the above-mentioned device also includes: a computer room twin model system processing module, which is used to send target data to the computer room twin model system; if the computer room twin model system receives the target data, it performs model debugging operations on the water system model included in the computer room twin model system based on the target data.
  • a computer room twin model system processing module which is used to send target data to the computer room twin model system; if the computer room twin model system receives the target data, it performs model debugging operations on the water system model included in the computer room twin model system based on the target data.
  • the above-mentioned device also includes: a target data generation module, which is used for the edge node to send the target data to the computer room operation and maintenance system; the computer room operation and maintenance system sends the target data to the operating unit based on the selector; or, the computer room operation and maintenance system sends the target data to the computer room twin model system based on the selector.
  • a target data generation module which is used for the edge node to send the target data to the computer room operation and maintenance system
  • the computer room operation and maintenance system sends the target data to the operating unit based on the selector
  • the computer room operation and maintenance system sends the target data to the computer room twin model system based on the selector.
  • the above-mentioned terminal devices are connected to the cloud server, the cloud server is connected to the edge node, the computer room operation and maintenance system, the self-organizing network system and the computer room twin model system are all connected to the edge node, and the computer room operation and maintenance system is connected to the operating unit; among them, the edge node is deployed in the operating scenario of the operating unit.
  • a water system which includes:
  • Virtual commissioning device for operating units, machine room operation and maintenance systems and water systems as mentioned above.
  • the disclosed embodiment provides a water system, wherein the edge node decomposes the received data to obtain target data, and classifies the target data; if the target data is debugging data, the target data is sent to the computer room operation and maintenance system; if the computer room operation and maintenance system receives the target data, the target data is sent to the operating unit, so that the operating unit performs debugging operations based on the target data.
  • the debugging personnel can debug the operating unit of the water system without going to the site, thereby increasing the efficiency of debugging, reducing costs, and improving customer satisfaction.
  • the disclosed embodiment also provides an electronic device for running the virtual debugging method of the above-mentioned water system; referring to the structural schematic diagram of an electronic device shown in FIG9, the electronic device includes a memory 100 and a processor 101, wherein the memory 100 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor 101 to implement the virtual debugging method of the above-mentioned water system.
  • the electronic device shown in FIG. 9 further includes a bus 102 and a communication interface 103 , and the processor 101 , the communication interface 103 and the memory 100 are connected via the bus 102 .
  • the memory 100 may include a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage.
  • RAM random access memory
  • non-volatile memory non-volatile memory
  • the communication connection between the system network element and at least one other network element is realized through at least one communication interface 103 (which can be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. can be used.
  • the bus 102 can be an ISA bus, a PCI bus or an EISA bus, etc.
  • the bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one bidirectional arrow is used in Figure 9, but it does not mean that there is only one bus or one type of bus.
  • the processor 101 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit in the processor 101 or the instruction in the form of software.
  • the above processor 101 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.
  • DSP digital signal processor
  • ASIC application-specific integrated circuit
  • FPGA field-programmable gate array
  • the methods, steps and logic block diagrams disclosed in the embodiments of the present disclosure can be implemented or executed.
  • the general-purpose processor can be a microprocessor or the processor can also be any conventional processor.
  • the steps of the method disclosed in conjunction with the embodiments of the present disclosure can be directly embodied as a hardware decoding processor to be executed, or can be executed by a combination of hardware and software modules in the decoding processor.
  • the software module can be located in a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable storage.
  • the storage medium is located in the memory 100, and the processor 101 reads the information in the memory 100 and completes the steps of the method in the above embodiment in combination with its hardware.
  • the embodiment of the present disclosure also provides a computer-readable storage medium, which stores computer-executable instructions.
  • the computer-executable instructions When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the virtual debugging method of the water system.
  • the specific implementation can be found in the method embodiment, which will not be repeated here.
  • the computer program product of the virtual debugging method, device, electronic device and computer-readable storage medium of the water system provided in the embodiments of the present disclosure includes a computer-readable storage medium storing program code.
  • the instructions included in the program code can be used to execute the methods in the previous method embodiments.
  • the specific implementation can be found in the method embodiments, which will not be repeated here.
  • the terms “installed”, “connected”, and “connected” should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components.
  • installed should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components.
  • the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present disclosure.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.
  • the present invention is not intended to be construed as a technical solution, but as a solution that can be easily modified or easily conceived, or as a solution that replaces some of the technical features with equivalents; and these modifications, changes or replacements do not deviate the essence of the corresponding technical solution from the spirit and scope of the technical solution of the embodiment of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

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Abstract

一种水系统的虚拟调试方法包括：边缘节点对接收到的数据进行分解得到目标数据，并对目标数据进行分类；若目标数据为调试数据，则将目标数据发送至机房运维系统；机房运维系统如果接收到目标数据，将目标数据发送至运行机组，以使运行机组基于目标数据执行调试操作。

Description

水系统的虚拟调试方法
相关申请的交叉引用
本申请基于申请号为：202310499447.7，申请日为2023年05月05日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本公开涉及水系统技术领域，具体而言，涉及一种水系统的虚拟调试方法、装置和电子设备。
背景技术
目前，许多机构和公司都在致力于基于虚拟调试的技术开发，但是针对空调水系统的虚拟调试技术开发仍然较少。大型空调水系统通常体积庞大、涉及到的管路、控制器、执行器较多，且由于安装场地的限制，通常需要依据实际的现场条件进行单独的设计和调试，这种开发方式花费了大量的时间在现场调试，甚至需要常驻现场的人员随时进行维护，极大地延长了项目整体验收的时间。
对于空调水系统的调试，现有技术一般采用的是现场调试的方式，在空调水系统的现场调试过程中，经常会有控制逻辑的调整，这些调整通最终会在现场的设备上执行、例如水机、水泵、冷却塔等，这些设备功耗较大，需要消耗的电力较多，在反复的现场调试中增加了项目的成本。并且，现场设备通常布置的距离较远，想要完成一次完整的测试，需要投入的人力和时间都非常多。如果现场修改的逻辑在功能安全上未加考虑的话，还有可能对设备造成无法挽回的破坏。
并且，随着疫情的复杂化，调试、维护人员需要进过一系列的安全措施才能够抵达现场。如果现场的空调水系统需要及时维护和调试的话，由此导致的客户损失也是非常巨大的。
发明内容
有鉴于此，本公开的目的在于提供一种水系统的虚拟调试方法、装置和电子设备，调试人员无需前往现场，就可以对水系统的运行机组进行调试，从而增加调试的效率，降低成本，提升客户的有满意度。
本公开实施例提供了一种水系统的虚拟调试方法，方法包括：边缘节点对接收到的 数据进行分解得到目标数据，并对目标数据进行分类；若目标数据为调试数据，则将目标数据发送至机房运维系统；机房运维系统如果接收到目标数据，将目标数据发送至运行机组，以使运行机组基于目标数据执行调试操作。
在本公开一些实施例中，上述方法还包括：调试人员的终端设备将交互数据发送至云端服务器；云端服务器基于交互数据生成云端数据，将云端数据发送至边缘节点。
在本公开一些实施例中，上述调试人员的终端设备将交互数据发送至云端服务器的步骤，包括：调试人员的终端设备通过测试用例将交互数据发送至云端服务器；云端服务器基于交互数据生成云端数据的步骤，包括：云端服务器对交互数据进行订阅和发布，得到云端数据。
在本公开一些实施例中，上述边缘节点对接收到的数据进行分解得到目标数据的步骤之后，方法还包括：边缘节点基于目标数据执行参数更新操作。
在本公开一些实施例中，上述对目标数据进行分类的步骤之后，方法还包括：将目标数据发送至自组网系统；自组网系统如果接收到目标数据，将目标数据发送至自组网系统包括的设备，以使自组网系统包括的设备执行目标数据对应的操作；其中，自组网系统包括直接数字控制器。
在本公开一些实施例中，上述对目标数据进行分类的步骤之后，方法还包括：将目标数据发送至机房孪生模型系统；机房孪生模型系统如果接收到目标数据，基于目标数据对机房孪生模型系统包括的水系统模型执行模型调试操作。
在本公开一些实施例中，上述方法还包括：边缘节点响应调试人员的操作，生成目标数据。
在本公开一些实施例中，上述方法还包括：边缘节点将目标数据发送至机房运维系统；机房运维系统基于选择器将目标数据发送至运行机组；或者，机房运维系统基于选择器将目标数据发送至机房孪生模型系统。
在本公开一些实施例中，上述终端设备与云端服务器连接，云端服务器与边缘节点连接，机房运维系统、自组网系统和机房孪生模型系统均与边缘节点连接，机房运维系统与运行机组连接；其中，边缘节点部署于运行机组的运行场景中。
本公开实施例还提供一种水系统的虚拟调试装置，装置包括：数据分解模块，用于边缘节点对接收到的数据进行分解得到目标数据，并对目标数据进行分类；目标数据发送模块，用于若目标数据为调试数据，则将目标数据发送至机房运维系统；运行机组调试模块，用于机房运维系统如果接收到目标数据，将目标数据发送至运行机组，以使运行机组基于目标数据执行调试操作。
本公开实施例还提供了一种水系统，包括：
运行机组、机房运维系统和如上述的水系统的虚拟调试装置。
本公开实施例还提供了一种电子设备，包括处理器和存储器，该存储器存储有能够被该处理器执行的计算机可执行指令，该处理器执行该计算机可执行指令以实现上述水系统的虚拟调试方法。
本公开实施例还提供了一种计算机可读存储介质，该计算机可读存储介质存储有计算机可执行指令，该计算机可执行指令在被处理器调用和执行时，计算机可执行指令促使处理器实现上述水系统的虚拟调试方法。
本公开实施例带来了以下有益效果：
本公开实施例提供了一种水系统的虚拟调试方法、装置和电子设备，边缘节点对接收到的数据进行分解得到目标数据，并对目标数据进行分类；若目标数据为调试数据，则将目标数据发送至机房运维系统；机房运维系统如果接收到目标数据，将目标数据发送至运行机组，以使运行机组基于目标数据执行调试操作。该方式中，调试人员无需前往现场，就可以对水系统的运行机组进行调试，从而增加调试的效率，降低成本，提升客户的有满意度。
本公开的其他特征和优点将在随后的说明书中阐述，或者，部分特征和优点可以从说明书推知或毫无疑义地确定，或者通过实施本公开的上述技术即可得知。
为使本公开的上述目的、特征和优点能更明显易懂，下文特举较佳实施例，并配合所附附图，作详细说明如下。
附图说明
为了更清楚地说明本公开具体实施方式或现有技术中的技术方案，下面将对具体实施方式或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图是本公开的一些实施方式，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本公开实施例提供的一种水系统的虚拟调试方法的流程图；
图2为本公开实施例提供的一种水系统的远程调试的架构示意图；
图3为本公开实施例提供的另一种水系统的虚拟调试方法的流程图；
图4为本公开实施例提供的一种远程调试的示意图；
图5为本公开实施例提供的一种水系统的现场调试的架构示意图；
图6为本公开实施例提供的一种现场调试的示意图；
图7为本公开实施例提供的一种边缘调试的数据流的示意图；
图8为本公开实施例提供的一种水系统的虚拟调试装置的结构示意图；
图9为本公开实施例提供的一种电子设备的结构示意图。
具体实施方式
为使本公开实施例的目的、技术方案和优点更加清楚，下面将结合附图对本公开的技术方案进行清楚、完整地描述，显然，所描述的实施例是本公开一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。
目前，许多机构和公司都在致力于基于虚拟调试的技术开发，但是针对空调水系统的虚拟调试技术开发仍然较少。大型空调水系统通常体积庞大、涉及到的管路、控制器、执行器较多，且由于安装场地的限制，通常需要依据实际的现场条件进行单独的设计和调试，这种开发方式花费了大量的时间在现场调试，甚至需要常驻现场的人员随时进行维护，极大地延长了项目整体验收的时间。
对于空调水系统的调试，现有技术一般采用的是现场调试的方式，在空调水系统的现场调试过程中，经常会有控制逻辑的调整，这些调整通最终会在现场的设备上执行、例如水机、水泵、冷却塔等，这些设备功耗较大，需要消耗的电力较多，在反复的现场调试中增加了项目的成本。并且，现场设备通常布置的距离较远，想要完成一次完整的测试，需要投入的人力和时间都非常多。如果现场修改的逻辑在功能安全上未加考虑的话，还有可能对设备造成无法挽回的破坏。
并且，随着疫情的复杂化，调试、维护人员需要进过一系列的安全措施才能够抵达现场。如果现场的空调水系统需要及时维护和调试的话，由此导致的客户损失也是非常巨大的。
综上，现有的空调水系统一般采用的是现场调试的方式，存在一下问题：1、空调水系统现场调试环境复杂，调试过程慢，调试设备能耗高。2、空调水系统现场调试设备操作安全，需要远程响应。3、空调水系统现场调试协议多种多样，设备连接复杂，无法保证安全。
基于此，本公开实施例提供一种水系统的虚拟调试方法、装置和电子设备，调试人员无需前往现场，就可以对水系统的运行机组进行调试，从而增加调试的效率，降低调试设备能耗；无需远程响应，保证现场调试设备操作安全；快速连接设备，从而提升客户的有满意度。
为便于对本公开实施例进行理解，首先对本公开实施例所公开的一种水系统的虚拟调试方法进行详细介绍。
水系统常用于大型建筑的供冷和供热，室内负荷由系统冷热水运行机组来承担，各 房间风机盘管通过管道与冷热水运行机组相连，通过提供的冷热水来供冷和供热。
其中，水系统可以包括冷冻水循环系统、冷却水循环系统及主机等部分。
本公开实施例提供一种水系统的虚拟调试方法，参见图1所示的一种水系统的虚拟调试方法的流程图，该水系统的虚拟调试方法包括如下步骤：
步骤S102，边缘节点对接收到的数据进行分解得到目标数据，并对目标数据进行分类。
本公开实施例中的边缘节点一般设置于运行机组现场。边缘节点是对边缘网关、边缘控制器、边缘服务器等边缘侧多种产品形态的基础共性能力的逻辑抽象，可以具备边缘侧实时数据分析、本地数据存储、实时网络联接等共性能力。
边缘节点可以接收云端服务器发送的云端数据，对云端数据进行分解得到目标数据，并对目标数据进行分类。此外，边缘节点还可以接收非云端数据，对非云端数据进行分解得到目标数据，并对目标数据进行分类。
步骤S104，若目标数据为调试数据，则将目标数据发送至机房运维系统。
若目标数据为调试数据，边缘节点可以将目标数据发送至机房运维系统。此外，边缘节点还可以将自组网系统或机房孪生模型系统。
其中，机房运维系统用于对运行机组进行维护，运行机组是指水系统中正在运行的物理设备，运行机组可以为：水机、水泵、冷却塔等设备。自组网系统是一种移动通信和计算机网络相结合的网络，网络的信息交换采用计算机网络中的分组交换机制，用户终端是可以移动的便携式终端，自组网中每个用户终端都兼有路由器和主机两种功能。
机房孪生模型系统中可以设置有虚拟的多个水系统模型，本公开实施例中还可以对上述水系统模型进行调试。为了解决空调水系统现场调试慢的问题，本公开实施例可以基于Modelica语言建立水系统模型，将水系统模型中的各个部件单独生成可以在Linux嵌入式平台部署的动态链接库，可以实现每个部件模型的单独升级，减少了升级所需的数据流量。
其中，Modelica是一种开放、面向对象、基于方程的计算机语言，可以跨越不同领域，方便地实现复杂物理系统的建模，包括：机械、电子、电力、液压、热、控制及面向过程的子系统模型。
步骤S106，机房运维系统如果接收到目标数据，将目标数据发送至运行机组，以使运行机组基于目标数据执行调试操作。
如果目标数据发送至机房运维系统，机房运维系统接收目标数据，将目标数据发送至运行机组，运行机组可以基于目标数据进行调试。因此，本公开实施例中采用了云端和边缘端的方式实现一站式的水系统调试解决方案，可以让调试人员无论身处何处都能 够对现场的空调水系统的运行机组进行控制策略的修改、控制效果的验证以及最终策略的部署。
本公开实施例提供了一种水系统的虚拟调试方法，边缘节点对接收到的数据进行分解得到目标数据，并对目标数据进行分类；若目标数据为调试数据，则将目标数据发送至机房运维系统；机房运维系统如果接收到目标数据，将目标数据发送至运行机组，以使运行机组基于目标数据执行调试操作。该方式中，调试人员无需前往现场，就可以对水系统的运行机组进行调试，从而增加调试的效率，降低成本，提升客户的有满意度。
本公开实施例提供了另一种水系统的虚拟调试方法，该方法在上述实施例的基础上实现，参见图2所示的一种水系统的远程调试的架构示意图，终端设备与云端服务器连接，云端服务器与边缘节点连接，机房运维系统、自组网系统和机房孪生模型系统均与边缘节点连接，机房运维系统与运行机组连接；其中，边缘节点部署于运行机组的运行场景中。
在本公开实施例中的水系统的虚拟调试的架构中，可以采用多校验协议，从而保证全链路的数据安全，减少由于通讯故障、人为误操作的几率。
基于上述描述，如图3所示的另一种水系统的虚拟调试方法的流程图，本公开实施例中的水系统的虚拟调试方法包括如下步骤：
步骤S302，调试人员的终端设备将交互数据发送至云端服务器。
其中，调试人员可以为对水系统进行虚拟调试的人员。调试人员的终端设备可以为电脑、手机、平板电脑等具有人机交互和通信功能的设备，调试人员可以通过操作终端设备生成交互数据，调试人员的终端设备将交互数据发送至云端服务器。
在一些实施例中，本公开实施例中的调试人员的终端设备可以通过测试用例将交互数据发送至云端服务器。
如图2所示，在调试人员远离运行机组的现场的情况下，可以采用远程调试的方式，调试人员可以采用编写测试用例的方式、直接控制的方式将指令和数据发送至云端服务器。
步骤S304，云端服务器基于交互数据生成云端数据，将云端数据发送至边缘节点。
云端服务器是一种简单高效、安全可靠、处理能力可弹性伸缩的计算服务。云端服务器可以接收调试人员的终端设备发送的交互数据，基于交互数据生成云端数据，并将云端数据发送至边缘节点。
在一些实施例中，本公开实施例中的云端服务器可以对交互数据进行订阅和发布，得到云端数据。
如图2所示，云端服务器在接收到交互数据后，可以通过基于Modelica的MQTT (消息队列遥测传输)节点，对交互的数据进行订阅和发布。MQTT是一个基于客户端-服务器的消息发布/订阅传输协议。MQTT协议是轻量、简单、开放和易于实现的，这些特点使它适用范围非常广泛。在很多情况下，包括受限的环境中，如：机器与机器的通信和物联网。MQTT在通过卫星链路通信传感器、偶尔拨号的医疗设备、智能家居、及一些小型化设备中已广泛使用。
步骤S306，边缘节点对接收到的数据进行分解得到目标数据，并对目标数据进行分类；若目标数据为调试数据，则将目标数据发送至机房运维系统。
本公开实施例中的边缘节点可以部署在运行机组的现场。部署在现场的边缘节点负责将云端数据进行分解得到目标数据，确定哪些目标数据是和机房运维系统进行交互的；哪些目标数据是和机房孪生模型系统进行交互的；哪些目标数据是更新边缘节点的自身参数的；哪些目标数据是与自组网系统进行交互的。是否需要基于实际的设备测试，还是部分设备是实际部分设备是模型，还是所有的设备都是模型。这些都可以基于用户的需求进行调整。
在一些实施例中，本公开实施例中的边缘节点基于目标数据执行参数更新操作。如果边缘节点确定目标数据是更新边缘节点的自身参数的，边缘节点可以执行参数更新操作，以更新缘节点的自身参数。
在一些实施例中，本公开实施例中可以将目标数据发送至自组网系统；自组网系统如果接收到目标数据，将目标数据发送至自组网系统包括的设备，以使自组网系统包括的设备执行目标数据对应的操作；其中，自组网系统包括直接数字控制器(DDC，Direct Digital Control)。
DDC控制器的组成通常包括中央控制设备(集中控制电脑、彩色监视器、键盘、打印机、不间断电源、通讯接口等)、现场DDC控制器、通讯网络，以及相应的传感器、执行器、调节阀等元器件。
DDC控制器是整个控制系统的核心，是系统实现控制功能的关键部件。它的工作过程是控制器通过模拟量输入通道(AI)和数字量输入通道(DI)采集实时数据，并将模拟量信号转变成计算机可接收的数字信号(A/D转换)，然后按照一定的控制规律进行运算，最后发出控制信号，并将数字量信号转变成模拟量信号(D/A转换)，并通过模拟量输出通道(AO)和数字量输出通道(DO)直接控制设备的运行。
在一些实施例中，本公开实施例中可以将目标数据发送至机房孪生模型系统；机房孪生模型系统如果接收到目标数据，基于目标数据对机房孪生模型系统包括的水系统模型执行模型调试操作。
机房孪生模型系统中可以设置有虚拟的多个水系统模型，本公开实施例可以基于 Modelica语言建立水系统模型，将水系统模型中的各个部件单独生成可以在Linux嵌入式平台部署的动态链接库，可以实现每个部件模型的单独升级，减少了升级所需的数据流量。
对于远程调试的具体流程，可以参见图4所示的一种远程调试的示意图，调试人员的终端设备首先准备指令，将指令下发至云端服务器。云端服务器接收指令，处理异常，再处理指令。边缘节点接收指令，依次处理Modbus、Bacnet(一种智能建筑的通信协议)和DB(数据库)，再处理异常，将指令分类。
分类后的指令可以被云端服务器处理，记录结果后返回至调试人员的终端设备。分类后的指令也可以被机房孪生模型系统处理，机房孪生模型系统接收指令后，获取机房运维系统发送的数据，运行求解，写入数据。之后再一次获取机房运维系统发送的数据，运行求解，写入数据。如果出现异常就进行报警，最后将指令和数据发送至边缘节点。
本公开实施例中的调试人员除了可以通过终端设备进行远程调试，还可以通过设置在现场的边缘节点进行现场调试，例如：边缘节点响应调试人员的操作，生成目标数据。即调试人员可以直接通过边缘节点进行操作，边缘节点生成目标数据。
在一些安全等级较高的安装现场中，数据的交互只能在设备的现场进行。因此在云端数据无法和边缘端进行交互的情况下，需要采用现场调试的框架。
在一些实施例中，本公开实施例中的边缘节点将目标数据发送至机房运维系统；机房运维系统基于选择器将目标数据发送至运行机组；或者，机房运维系统基于选择器将目标数据发送至机房孪生模型系统。
参见图5所示的一种水系统的现场调试的架构示意图，调试人员可以通过现场调试的方式对边缘节点和控制运维系统进行数据链接。其中，模型服务器、测试服务器等都可以部署在边缘节点中。在边缘节点接入现场的网络后，用户可以通过本地服务器进入网络，相关的操作和云端服务器保持一致。
其中，基于边缘节点的现场调试的方式和基于云端的远程调试的方式相比，安全性较高，并且由于有专业的技术人员在现场，可以更快速地对现场设备进行处理。但是，基于云端的远程调试的方式不需要调试人员在现场，能够及时为客户提供有效的解决方案。
对于现场调试的具体流程，可以参见图6所示的一种现场调试的示意图，调试人员首先准备指令，将指令下发至边缘节点。边缘节点接收指令，处理异常，再处理指令。边缘节点依次处理Modbus、Bacnet(一种智能建和DB，再处理异常，将指令分类。
分类后的指令可以被边缘节点处理，记录结果后返回至调试人员的终端设备。分类后的指令也可以被机房孪生模型系统处理，机房孪生模型系统接收指令后，获取机房运 维系统发送的数据，运行求解，写入数据。之后再一次获取机房运维系统发送的数据，运行求解，写入数据。如果出现异常就进行报警，最后将指令和数据发送至边缘节点。
参见图7所示的一种边缘调试的数据流的示意图，在边缘侧部署时，用户需要将边缘节点和原先的运维系统相结合，可以通过选择器对需要控制的数据和设备进行处理，例如冷却塔转速、冷冻侧水泵转速、冷却侧水泵转速、进出水温度等。
选择器可以根据需求将选择是采用模型的数据还是实际设备的数据、是采用现场控制器的控制还是用户修改后的控制，通过选择器框架，可以实现复杂的功能，例如故障注入、数据修正、通讯模拟、设备切换、多目标优化等，这些工具能够有效的解决调试过程中的问题。
步骤S308，机房运维系统如果接收到目标数据，将目标数据发送至运行机组，以使运行机组基于目标数据执行调试操作。
本公开实施例提供的上述方法，依据安装调试现场的安全等级，评估是否可以采用云端的调试框架，如果使用云端框架，则在边缘端使能和云端链接的安全协议。
本公开实施例在云端部署用户服务器，仿真模型更新服务，多校验的即时通讯服务。用户通过网页访问服务器后，通过即时通讯服务启动部署在边缘侧的服务器，边缘端返回状态，系统开始进入远程调试功能。
本公开实施例在边缘侧部署用户服务器、模型服务器、以及通讯组件。用户服务器负责实现用户和系统模型、实际机组设备进行交互，实现测试、故障注入、通讯模拟、多目标优化、模型更新等功能。用户服务器和模型服务器之间通过IPC(Inter-Process Communication，进程间通信)进行连接，并通过选择器进行数据流的控制。
本公开实施例边缘端通过Bacnet IP(Internet Protocol，网际互连协议)、Modbus-TCP(ransmission Control Protocol，传输控制协议)、Modbus-RTU(Remote Terminal Unit，远程终端单元)接口接入现场控制网路，接入网路的数据在组网通讯组件中完成，通过选择器对模型和现场设备回传的数据进行区分，当需要判断故障时，可将模型的输出数据和现场设备的数据相比较，确定问题发生的位置。
本公开实施例可以基于Modelica语言建立水系统模型，可以解决空调水系统现场调试慢的问题，将水系统模型中的各个部件单独生成可以在Linux嵌入式平台部署的动态链接库，可以实现每个部件模型的单独升级，减少了升级所需的数据流量。本公开实施例中采用了云端和边缘端的方式实现一站式的水系统调试解决方案，可以让调试人员无论身处何处都能够对现场的空调水系统的运行机组进行控制策略的修改、控制效果的验证以及最终策略的部署。在本公开实施例中的水系统的虚拟调试的架构中，可以采用多校验协议，从而保证全链路的数据安全，减少由于通讯故障、人为误操作的几率。
对应于上述方法实施例，本公开实施例提供了一种水系统的虚拟调试装置，参见图8所示的一种水系统的虚拟调试装置的结构示意图，该水系统的虚拟调试装置包括：
数据分解模块81，用于边缘节点对接收到的数据进行分解得到目标数据，并对目标数据进行分类；
目标数据发送模块82，用于若目标数据为调试数据，则将目标数据发送至机房运维系统；
运行机组调试模块83，用于机房运维系统如果接收到目标数据，将目标数据发送至运行机组，以使运行机组基于目标数据执行调试操作。
本公开实施例提供了一种水系统的虚拟调试装置，边缘节点对接收到的数据进行分解得到目标数据，并对目标数据进行分类；若目标数据为调试数据，则将目标数据发送至机房运维系统；机房运维系统如果接收到目标数据，将目标数据发送至运行机组，以使运行机组基于目标数据执行调试操作。该方式中，调试人员无需前往现场，就可以对水系统的运行机组进行调试，从而增加调试的效率，降低成本，提升客户的有满意度。
上述装置包括：云端数据处理模块，用于调试人员的终端设备将交互数据发送至云端服务器；云端服务器基于交互数据生成云端数据，将云端数据发送至边缘节点
上述云端数据处理模块，用于调试人员的终端设备通过测试用例将交互数据发送至云端服务器；上述云端数据处理模块，用于云端服务器对交互数据进行订阅和发布，得到云端数据。
上述装置还包括：边缘节点更新模块，用于缘节点基于目标数据执行参数更新操作。
上述装置还包括：自组网系统处理模块，用于将目标数据发送至自组网系统；自组网系统如果接收到目标数据，将目标数据发送至自组网系统包括的设备，以使自组网系统包括的设备执行目标数据对应的操作；其中，自组网系统包括直接数字控制器。
上述装置还包括：机房孪生模型系统处理模块，用于将目标数据发送至机房孪生模型系统；机房孪生模型系统如果接收到目标数据，基于目标数据对机房孪生模型系统包括的水系统模型执行模型调试操作。
上述装置还包括：目标数据生成模块，用于边缘节点将目标数据发送至机房运维系统；机房运维系统基于选择器将目标数据发送至运行机组；或者，机房运维系统基于选择器将目标数据发送至机房孪生模型系统。
上述终端设备与云端服务器连接，云端服务器与边缘节点连接，机房运维系统、自组网系统和机房孪生模型系统均与边缘节点连接，机房运维系统与运行机组连接；其中，边缘节点部署于运行机组的运行场景中。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的水系统 的虚拟调试装置的具体工作过程，可以参考前述的水系统的虚拟调试方法的实施例中的对应过程，在此不再赘述。
对应于上述装置实施例，本公开实施例提供了一种水系统，该水系统包括：
运行机组、机房运维系统和如上述的水系统的虚拟调试装置。
本公开实施例提供了一种水系统，边缘节点对接收到的数据进行分解得到目标数据，并对目标数据进行分类；若目标数据为调试数据，则将目标数据发送至机房运维系统；机房运维系统如果接收到目标数据，将目标数据发送至运行机组，以使运行机组基于目标数据执行调试操作。该方式中，调试人员无需前往现场，就可以对水系统的运行机组进行调试，从而增加调试的效率，降低成本，提升客户的有满意度。本公开实施例还提供了一种电子设备，用于运行上述水系统的虚拟调试方法；参见图9所示的一种电子设备的结构示意图，该电子设备包括存储器100和处理器101，其中，存储器100用于存储一条或多条计算机指令，一条或多条计算机指令被处理器101执行，以实现上述水系统的虚拟调试方法。
进一步地，图9所示的电子设备还包括总线102和通信接口103，处理器101、通信接口103和存储器100通过总线102连接。
其中，存储器100可能包含高速随机存取存储器(RAM，Random Access Memory)，也可能还包括非不稳定的存储器(non-volatile memory)，例如至少一个磁盘存储器。通过至少一个通信接口103(可以是有线或者无线)实现该系统网元与至少一个其他网元之间的通信连接，可以使用互联网，广域网，本地网，城域网等。总线102可以是ISA总线、PCI总线或EISA总线等。总线可以分为地址总线、数据总线、控制总线等。为便于表示，图9中仅用一个双向箭头表示，但并不表示仅有一根总线或一种类型的总线。
处理器101可能是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法的各步骤可以通过处理器101中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器101可以是通用处理器，包括中央处理器(Central Processing Unit，简称CPU)、网络处理器(Network Processor，简称NP)等；还可以是数字信号处理器(Digital Signal Processor，简称DSP)、专用集成电路(Application Specific Integrated Circuit，简称ASIC)、现场可编程门阵列(Field-Programmable Gate Array，简称FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本公开实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本公开实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储 器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器100，处理器101读取存储器100中的信息，结合其硬件完成前述实施例的方法的步骤。
本公开实施例还提供了一种计算机可读存储介质，该计算机可读存储介质存储有计算机可执行指令，该计算机可执行指令在被处理器调用和执行时，计算机可执行指令促使处理器实现上述水系统的虚拟调试方法，具体实现可参见方法实施例，在此不再赘述。
本公开实施例所提供的水系统的虚拟调试方法、装置、电子设备和计算机可读存储介质的计算机程序产品，包括存储了程序代码的计算机可读存储介质，程序代码包括的指令可用于执行前面方法实施例中的方法，具体实现可参见方法实施例，在此不再赘述。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统和/或装置的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
另外，在本公开实施例的描述中，除非另有明确的规定和限定，术语“安装”、“相连”、“连接”应做广义理解，例如，可以是固定连接，也可以是可拆卸连接，或一体地连接；可以是机械连接，也可以是电连接；可以是直接相连，也可以通过中间媒介间接相连，可以是两个元件内部的连通。对于本领域的普通技术人员而言，可以具体情况理解上述术语在本公开中的具体含义。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本公开的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本公开各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
在本公开的描述中，需要说明的是，术语“中心”、“上”、“下”、“左”、“右”、“竖直”、“水平”、“内”、“外”等指示的方位或位置关系为基于附图所示的方位或位置关系，仅是为了便于描述本公开和简化描述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此不能理解为对本公开的限制。此外，术语“第一”、“第二”、“第三”仅用于描述目的，而不能理解为指示或暗示相对重要性。
最后应说明的是：以上所述实施例，仅为本公开的具体实施方式，用以说明本公开的技术方案，而非对其限制，本公开的保护范围并不局限于此，尽管参照前述实施例对本公开进行了详细的说明，本领域的普通技术人员应当理解：任何熟悉本技术领域的技术人员在本公开揭露的技术范围内，其依然可以对前述实施例所记载的技术方案进行修 改或可轻易想到变化，或者对其中部分技术特征进行等同替换；而这些修改、变化或者替换，并不使相应技术方案的本质脱离本公开实施例技术方案的精神和范围，都应涵盖在本公开的保护范围之内。因此，本公开的保护范围应所述以权利要求的保护范围为准。

Claims (13)

  1. 一种水系统的虚拟调试方法，其中，所述方法包括：
    边缘节点对接收到的数据进行分解得到目标数据，并对所述目标数据进行分类；
    若所述目标数据为调试数据，则将所述目标数据发送至机房运维系统；
    所述机房运维系统如果接收到所述目标数据，将所述目标数据发送至运行机组，以使所述运行机组基于所述目标数据执行调试操作。
  2. 根据权利要求1所述的方法，其中，所述方法还包括：
    调试人员的终端设备将交互数据发送至云端服务器；
    所述云端服务器基于所述交互数据生成云端数据，将所述云端数据发送至边缘节点。
  3. 根据权利要求2所述的方法，其中，调试人员的终端设备将交互数据发送至云端服务器的步骤，包括：调试人员的终端设备通过测试用例将交互数据发送至云端服务器；
    所述云端服务器基于所述交互数据生成云端数据的步骤，包括：所述云端服务器对所述交互数据进行订阅和发布，得到云端数据。
  4. 根据权利要求1至3任一项所述的方法，其中，边缘节点对接收到的数据进行分解得到目标数据的步骤之后，所述方法还包括：
    所述边缘节点基于所述目标数据执行参数更新操作。
  5. 根据权利要求1至4任一项所述的方法，其中，对所述目标数据进行分类的步骤之后，所述方法还包括：
    将所述目标数据发送至自组网系统；
    所述自组网系统如果接收到所述目标数据，将所述目标数据发送至所述自组网系统包括的设备，以使所述自组网系统包括的设备执行所述目标数据对应的操作；其中，所述自组网系统包括直接数字控制器。
  6. 根据权利要求5所述的方法，其中，对所述目标数据进行分类的步骤之后，所述方法还包括：
    将所述目标数据发送至机房孪生模型系统；
    所述机房孪生模型系统如果接收到所述目标数据，基于所述目标数据对所述机房孪生模型系统包括的水系统模型执行模型调试操作。
  7. 根据权利要求6所述的方法，其中，所述方法还包括：
    所述边缘节点将所述目标数据发送至所述机房运维系统；
    所述机房运维系统基于选择器将所述目标数据发送至运行机组；或者，所述机房运维系统基于所述选择器将所述目标数据发送至所述机房孪生模型系统。
  8. 根据权利要求6所述的方法，其中，终端设备与云端服务器连接，所述云端服务器 与所述边缘节点连接，所述机房运维系统、所述自组网系统和所述机房孪生模型系统均与所述边缘节点连接，所述机房运维系统与所述运行机组连接；其中，所述边缘节点部署于所述运行机组的运行场景中。
  9. 根据权利要求1至8任一项所述的方法，其中，所述方法还包括：
    所述边缘节点响应调试人员的操作，生成所述目标数据。
  10. 一种水系统的虚拟调试装置，其中，所述装置包括：
    数据分解模块，用于边缘节点对接收到的数据进行分解得到目标数据，并对所述目标数据进行分类；
    目标数据发送模块，用于若所述目标数据为调试数据，则将所述目标数据发送至机房运维系统；
    运行机组调试模块，用于所述机房运维系统如果接收到所述目标数据，将所述目标数据发送至运行机组，以使所述运行机组基于所述目标数据执行调试操作。
  11. 一种水系统，其中，包括：
    运行机组、机房运维系统和如权利要求10所述的水系统的虚拟调试装置。
  12. 一种电子设备，其中，包括处理器和存储器，所述存储器存储有能够被所述处理器执行的计算机可执行指令，所述处理器执行所述计算机可执行指令以实现权利要求1至9任一项所述的水系统的虚拟调试方法。
  13. 一种计算机可读存储介质，其中，所述计算机可读存储介质存储有计算机可执行指令，所述计算机可执行指令在被处理器调用和执行时，计算机可执行指令促使处理器实现权利要求1至9任一项所述的水系统的虚拟调试方法。
PCT/CN2024/070199 2023-05-05 2024-01-02 水系统的虚拟调试方法 Ceased WO2024230205A1 (zh)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110209107A (zh) * 2019-05-10 2019-09-06 宁波安信数控技术有限公司 一种通过dtu远程调试plc设备的方法及系统
CN212208008U (zh) * 2020-06-16 2020-12-22 中能建地热有限公司 一种基于bim可视化的医院空调机房运行监控系统
CN112235417A (zh) * 2020-11-09 2021-01-15 北京百度网讯科技有限公司 调试指令的发送方法、装置
CN114017900A (zh) * 2021-08-30 2022-02-08 贵州宝智达网络科技有限公司 一种基于WIFI-mesh自组网中央空调的集群控制技术
CN115774405A (zh) * 2022-11-01 2023-03-10 中国舰船研究设计中心 一种基于数字孪生的滑油系统调试方法
CN116776535A (zh) * 2023-05-05 2023-09-19 上海美控智慧建筑有限公司 水系统的虚拟调试方法、装置和电子设备

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110209107A (zh) * 2019-05-10 2019-09-06 宁波安信数控技术有限公司 一种通过dtu远程调试plc设备的方法及系统
CN212208008U (zh) * 2020-06-16 2020-12-22 中能建地热有限公司 一种基于bim可视化的医院空调机房运行监控系统
CN112235417A (zh) * 2020-11-09 2021-01-15 北京百度网讯科技有限公司 调试指令的发送方法、装置
CN114017900A (zh) * 2021-08-30 2022-02-08 贵州宝智达网络科技有限公司 一种基于WIFI-mesh自组网中央空调的集群控制技术
CN115774405A (zh) * 2022-11-01 2023-03-10 中国舰船研究设计中心 一种基于数字孪生的滑油系统调试方法
CN116776535A (zh) * 2023-05-05 2023-09-19 上海美控智慧建筑有限公司 水系统的虚拟调试方法、装置和电子设备

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