State processing method and apparatus for variable refrigerant flow system, storage medium and electronic device

Abstract

Disclosed in the embodiments of the present application are a state processing method and apparatus for a variable refrigerant flow system, a storage medium and an electronic device. The method comprises: acquiring target system configuration information and target device operation information of a target variable refrigerant flow system; on the basis of the target system configuration information, performing system diagram matching processing on the target variable refrigerant flow system to obtain a target system schematic diagram component; and, on the basis of the target device operation information, performing system operating state configuration on the target system schematic diagram component to obtain a target system operating state topological graph. The technical solution is used to combine obtained target system configuration information and target device operation information of target variable refrigerant flow systems, thereby configuring target system operating state topological graphs.

Description

State processing method and device of multi-connected system, storage medium and electronic equipment

[0001] The present application claims priority to the Chinese patent application No. 2024106443596, filed on May 23, 2024, and entitled "State processing method and device of multi-connected system, storage medium and electronic equipment", the whole content of which is incorporated herein by reference. TECHNICAL FIELD

[0002] The present application relates to the field of air conditioning system control, in particular to a state processing method and device of multi-connected system, storage medium and electronic equipment. BACKGROUND

[0003] With the increasing demand for environmental temperature comfort, multi-connected systems are widely used in commercial buildings, office buildings and other places. In actual application, after the deployment of the multi-connected system is completed and put into use in daily life, the maintenance and management of the multi-connected system is usually performed by the maintenance and management end at the deployment site of the multi-connected system or remotely based on the system schematic diagram of the multi-connected system in combination with maintenance and management experience to process the system state, such as system fault processing, system maintenance processing, etc.

[0004] SUMMARY

[0005] The present application provides a state processing method and device of multi-connected system, storage medium and electronic equipment. By adopting the above technical scheme, the target system configuration information and the target device running information of the target multi-connected system are obtained, and a target system running state topology graph is configured to realize real-time feedback of system running state, efficient assistance of system state acquisition, and convenient system maintenance. The technical scheme is as follows:

[0006] In a first aspect, the present application provides a state processing method of multi-connected system, which comprises:

[0007] obtaining target system configuration information and target device running information of a target multi-connected system;

[0008] performing system diagram matching processing on the target multi-connected system based on the target system configuration information to obtain a target system schematic diagram component; and

[0009] configuring system running state of the target system schematic diagram component based on the target device running information to obtain a target system running state topology graph, and displaying the target system running state topology graph.

[0010] In an embodiment, the system diagram matching processing on the target multi-connected system based on the target system configuration information to obtain a target system schematic diagram component comprises:

[0011] determining a preset at least one reference system schematic component; and

[0012] determining a target system schematic component of the target multi-connected system from the at least one reference system schematic component based on the target system configuration information.

[0013] In an embodiment, the determining a target system schematic component of the target multi-connected system from the at least one reference system schematic component based on the target system configuration information comprises

[0014] obtaining a reference device parameter information set corresponding to each of the reference system schematic components;

[0015] performing information matching on the target device parameter information based on the reference device parameter information set to obtain recommended device parameter information; and

[0016] determining a target system schematic component corresponding to the recommended device parameter information from each of the reference system schematic components.

[0017] In an embodiment, the method further comprises:

[0018] obtaining reference system schematics and reference system parameter information corresponding to a plurality of reference multi-connected systems;

[0019] performing basic component extraction based on all the reference system schematics to obtain a plurality of basic component items; and

[0020] performing system schematic component configuration on the reference system schematics based on the reference system parameter information and the basic component items to obtain reference system schematic components.

[0021] In an embodiment, the method further comprises:

[0022] determining that the target device operation information includes target system component fault information, determining a fault system component component and / or a fault refrigerant pipeline associated with the fault system component component, updating a fault state of the fault system component component and the fault refrigerant pipeline in the target system operation state topology based on the target system component fault information; and / or,

[0023] in response to a component detection operation on a target system component component in the target system operation state topology, obtaining target system component operation information of the target system component component, and displaying the target system component operation information.

[0024] In an embodiment, after the target system component fault information is used to update the fault state of the fault system component assembly and the fault refrigerant pipeline in the target system operating state topology graph, the method further comprises:

[0025] performing system fault reasoning processing on the target multi-connected system based on the target system operating state topology graph and the target device operating information using a multi-connected system analysis model, and outputting a reference system fault processing report;

[0026] sending the reference system fault processing report to a management terminal corresponding to the target multi-connected system;

[0027] The multi-connected system analysis model is obtained by performing model training on a machine learning model based on multi-connected system operating samples labeled with system fault processing report labels, and the multi-connected system operating samples include sample system operating state topology graphs and sample target device operating information.

[0028] In an embodiment, the machine learning model is a basic large language model, and performing system fault reasoning processing on the target multi-connected system based on the target system operating state topology graph and the target device operating information using a multi-connected system analysis model, and outputting a reference system fault processing report, comprises:

[0029] generating system state analysis prompt words for the target multi-connected system based on the target system operating state topology graph and the target device operating information;

[0030] inputting the system state analysis prompt words, the target system operating state topology graph, and the target device operating information into a multi-connected system analysis model;

[0031] controlling the multi-connected system analysis model to perform fault analysis processing on the target multi-connected system to obtain system fault analysis, and to perform troubleshooting reasoning processing based on the system fault analysis report to obtain system troubleshooting suggestions; and

[0032] outputting, by the multi-connected system analysis model, a reference system fault processing report including the system fault analysis and the system troubleshooting suggestions.

[0033] In a second aspect, the embodiments of the present application provide a state processing apparatus of a multi-connected system, which comprises:

[0034] a processor; and a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the state processing method of the multi-connected system according to any one of claims 1 to 7;

[0035] An information acquisition module configured to acquire target system configuration information and target device running information of a target multi-combination system;

[0036] A system matching module configured to perform system diagram matching processing on the target multi-combination system based on the target system configuration information to obtain target system schematic components; and

[0037] An operation acquisition module configured to perform system running state configuration on the target system schematic components based on the target device running information to obtain a target system running state topology diagram, and display the target system running state topology diagram.

[0038] In an embodiment, the system matching module comprises:

[0039] A preset component determination unit configured to determine at least one preset reference system schematic component; and

[0040] A target component matching unit configured to determine, based on the target system configuration information, a target system schematic component of the target multi-combination system from the at least one reference system schematic component.

[0041] In an embodiment, the target component matching unit is configured to:

[0042] Acquire a reference device parameter information set corresponding to each of the reference system schematic components;

[0043] Perform information matching on the target device parameter information based on the reference device parameter information set to obtain recommended device parameter information; and

[0044] Determine, from each of the reference system schematic components, a target system schematic component corresponding to the recommended device parameter information.

[0045] In an embodiment, the system matching module is further configured to:

[0046] Acquire reference system schematic diagrams and reference system parameter information corresponding to a plurality of reference multi-combination systems;

[0047] Perform basic component extraction based on all the reference system schematic diagrams to obtain a plurality of basic component items; and

[0048] Perform system schematic component configuration on the reference system schematic diagrams based on the reference system parameter information and the basic component items to obtain reference system schematic components.

[0049] In an embodiment, the apparatus is further configured to:

[0050] determining that the target device operation information exists target system component fault information, determining a fault system component assembly and / or a fault refrigerant pipeline associated with the fault system component assembly, updating the fault state of the fault system component assembly and the fault refrigerant pipeline in the target system operation state topology based on the target system component fault information; and / or,

[0051] in response to the component detection operation on the target system component assembly in the target system operation state topology, obtaining target system component operation information of the target system component assembly, and displaying the target system component operation information.

[0052] In an embodiment, the apparatus further comprises:

[0053] a report generation module configured to perform system fault reasoning processing on the target multi-connection system based on the target system operation state topology and the target device operation information using a multi-connection system analysis model, and output a reference system fault handling report;

[0054] sending the reference system fault handling report to a management terminal corresponding to the target multi-connection system;

[0055] The multi-connection system analysis model is obtained by model training of a machine learning model based on multi-connection system operation samples with labeled system fault handling report labels, and the multi-connection system operation samples include sample system operation state topology and sample target device operation information.

[0056] In an embodiment, the machine learning model is a basic large language model, and the report generation module is configured to:

[0057] generate system state analysis prompt words for the target multi-connection system based on the target system operation state topology and the target device operation information;

[0058] input the system state analysis prompt words, the target system operation state topology and the target device operation information into a multi-connection system analysis model;

[0059] control the multi-connection system analysis model to perform fault analysis processing on the target multi-connection system to obtain system fault analysis, and perform troubleshooting reasoning processing based on the system fault analysis report to obtain system troubleshooting suggestions; and

[0060] output a reference system fault handling report including the system fault analysis and the system troubleshooting suggestions through the multi-connection system analysis model.

[0061] In a third aspect, an embodiment of the present application provides a computer storage medium, which stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and performing the method steps described above.

[0062] In a fourth aspect, an embodiment of the present application provides an electronic device, which can include a processor and a memory, wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and performing the method steps described above.

[0063] In the technical solution provided by the embodiment of the present application, the terminal obtains target system configuration information and target device running information of a target multi-chiller system, performs system diagram matching processing on the target multi-chiller system based on the target system configuration information to obtain a target system schematic component, and performs system running state configuration on the target system schematic component based on the target device running information to obtain a target system running state topology diagram. By combining the target system configuration information and the target device running information of the target multi-chiller system, the target system running state topology diagram is configured, the system running state can be fed back in real time, the system state acquisition is efficiently assisted, the system maintenance is conveniently implemented, the system management efficiency of the multi-chiller system is improved, and the system fault can be timely found and solved by the maintenance management side. BRIEF DESCRIPTION OF DRAWINGS

[0064] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0065] FIG. 1 is a flow diagram of a state processing method of a multi-chiller system according to an embodiment of the present application;

[0066] FIG. 2 is an interface diagram of a target system schematic diagram according to an embodiment of the present application;

[0067] FIG. 3 is a flow diagram of another state processing method of a multi-chiller system according to an embodiment of the present application;

[0068] FIG. 4 is a flow diagram of a reference system schematic component determination according to an embodiment of the present application;

[0069] FIG. 5 is a flow diagram of a state processing method of a multi-chiller system according to an embodiment of the present application;

[0070] FIG. 6 is a structural diagram of a state processing device of a multi-chiller system according to an embodiment of the present application;

[0071] Fig. 7 is a structural schematic diagram of a system matching module according to an embodiment of the present application;

[0072] Fig. 8 is a structural schematic diagram of an electronic device according to an embodiment of the present application;

[0073] Fig. 9 is a structural schematic diagram of an operating system and a user space according to an embodiment of the present application;

[0074] Fig. 10 is an architecture diagram of an Android operating system in Fig. 9;

[0075] Fig. 11 is an architecture diagram of an IOS operating system in Fig. 9. DETAILED DESCRIPTION

[0076] The technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0077] In the description of the present application, it should be understood that the terms "first", "second" and the like are only configured for the purpose of description, and cannot be understood as indicating or implying relative importance. In the description of the present application, it should be noted that, unless otherwise explicitly specified and limited, "including" and "having" and any variants thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units not listed, or optionally includes other steps or units inherent to the process, method, product or device. Those of ordinary skill in the art can understand the specific meaning of the above terms in the present application according to the specific circumstances. In addition, in the description of the present application, "multiple" means two or more, unless otherwise specified. "And / or" describes the association between the associated objects, which means that there can be three relationships, for example, A and / or B can mean that A exists alone, A and B exist together, and B exists alone. The character " / " generally represents that the associated objects before and after are in an "or" relationship.

[0078] In the example technology, the system state is processed by the maintenance management end on the spot or remotely in the multi-station system deployment site based on the system schematic diagram of the multi-station system and the maintenance management experience. The information displayed by the system schematic diagram referred to by the maintenance management end is limited, and the working state of the real-time current running multi-station system cannot be intuitively understood. It can be seen that the state maintenance and state acquisition of the multi-station system have certain limitations.

[0079] The application will be described in detail below with reference to specific embodiments.

[0080] In one embodiment, as shown in FIG. 1, a state processing method of a multi-connected system is proposed, which can be implemented by a computer program and run on a state processing device of a multi-connected system based on the Von Neumann architecture. The computer program can be integrated in an application or run as a standalone tool application. The state processing device of the multi-connected system can be a terminal, including but not limited to a personal computer, a tablet computer, a handheld device, a vehicle-mounted device, a wearable device, a computing device, or other processing devices connected to a wireless modem, etc. In different networks, the terminal device can be called by different names, such as user equipment, access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device, cellular phone, cordless phone, terminal device in 5G network or future evolution network, etc.

[0081] In one embodiment, the state processing method of the multi-connected system can include the following steps:

[0082] S102: Obtain target system configuration information and target device running information of a target multi-connected system;

[0083] A multi-connected system (Variable Refrigerant Flow, VRF) is a high-efficiency air conditioning system. For a multi-connected system, it includes multiple components such as indoor units and outdoor units, which can be indoor units, compressors, fans, heat exchangers, gas-liquid separators, etc.

[0084] The target multi-connected system is the object of the current state processing;

[0085] The target system configuration information can be understood as parameter information representing the system configuration of the multi-connected system, including but not limited to one or more of the following information: model series, compressor brand, nameplate matching number, compressor type, device number, address parameter, etc.

[0086] The target device running information can be understood as parameter information representing the current component running condition in the system, including but not limited to one or more of the following information: air outlet mode, fan speed, compressor frequency, running mode, fault code, component running state, refrigerant flow, etc.

[0087] In an embodiment, the user can establish a communication connection with the target multi-line system through the terminal, and based on the communication connection, the target system configuration information of the target multi-line system can be acquired, and the target device running information corresponding to the plurality of components of the target multi-line system can be collected in real time or periodically;

[0088] In an embodiment, the target multi-line system can report the target device running information to the service platform in real time or periodically, and the user can acquire the target system configuration information and the target device running information of the target multi-line system through the terminal.

[0089] Optionally, the target multi-line system is equipped with intelligent management software, intelligent controllers and data acquisition devices when deployed in production, which can be configured to collect target device running information in real time and send the target device running information to the terminal or the service platform.

[0090] For example, taking a certain type of target multi-line system as an example, the communication serial port can be accessed to the device communication port of each device component in the system, and the multi-line device communication protocol can be used. Each device component can automatically encode / decode the target device running information and the target system configuration information, and send the target device running information to the terminal or the service platform.

[0091] S104: performing system diagram matching processing on the target multi-line system based on the target system configuration information to obtain a target system schematic component;

[0092] The system schematic component is a dynamic running schematic component created for a certain multi-line system. The topological relationship schematic diagram of the multi-line system is automatically generated by using component assembly in advance, and the topological relationship schematic diagram supports the display of dynamic device running information, that is, the current system running state of the multi-line system can be dynamically displayed in real time through the system schematic component based on the real-time acquired device running information.

[0093] For example, according to the system schematic diagram of all reference multi-line systems actually published, abstract classification is performed, and a basic component assembly library is built according to the abstract common basic components of the system schematic diagram. The basic component assembly library includes component assemblies corresponding to different components such as internal machine, compressor, fan, heat exchanger and gas-liquid separator. Each component is configured with detailed attribute description, such as model, size, performance parameter and interface type. Optionally, the component assembly library can support expansion function, and the component assembly library should be configured as modular component assembly and expandable component module, so as to add new components or modify and optimize existing components.

[0094] Further, the system schematics of all multi-connected systems are classified in advance, and the system schematics of the multi-connected systems are classified according to system configuration information (such as model series, compressor brand, number of nameplates, operation mode, and device quantity) to obtain one or more reference system schematics of the reference multi-connected system. Then, the intelligent configuration system or the self-defined configuration system is used based on the reference system schematic, and the configuration system can automatically select appropriate basic component assemblies and layout assemblies from the basic component library according to the input reference system schematic and system configuration information to generate an initial system schematic assembly.

[0095] Then, the initial system schematic assembly is dynamically connected, and the connection rules and pipeline layout standards between various components are defined based on the pipeline connection rules. For example, the size, material, and connection type of the pipeline. The pipeline is used to connect the components to generate different types of reference system schematic assemblies, and the reference system configuration information of the reference system schematic assembly can be generated. The reference system schematic assembly can be pre-installed in the software (such as operation and maintenance software) to be called;

[0096] Illustratively, the reference system schematic assembly can be dynamically displayed by loading the target device operation information. At this time, the system schematic assembly displaying the system operation state can be referred to as a system operation state topology.

[0097] In a feasible implementation, at least one reference system schematic assembly can be determined, and the target system schematic assembly of the target multi-connected system can be determined from the at least one reference system schematic assembly based on the target system configuration information.

[0098] Illustratively, the reference system schematic assembly corresponds to the reference system configuration information, and the recommended system configuration information matched by the target system configuration information is determined in the reference system configuration information. Then, the system schematic assembly indicated by the recommended system configuration information is taken as the target system schematic assembly from the reference system schematic assembly.

[0099] S106: Based on the target device operation information, the target system schematic assembly is configured in the system operation state to obtain a target system operation state topology.

[0100] According to the target device operation information, the current component operation state and the current pipeline operation state in the target system schematic assembly are determined, and then the current component operation state and the current pipeline operation state are mapped to the target system schematic assembly.

[0101] It can be understood that various reference device operating states (such as normal operation, warning, failure, etc.) and the corresponding parameter thresholds or modes of the states are defined in advance for the pipelines and components. In actual application scenarios, the current component operating state and the current pipeline operating state in the target system schematic component can be directly determined according to the target device operating information in combination with the pre-defined states, and then the current component operating state and the current pipeline operating state are mapped to the target system schematic component for dynamic visual representation, to generate a target system operating state topology diagram, and output and display the target system operating state topology diagram in a preset user interface; for example, if the temperature of a certain compressor exceeds the set threshold, the compressor is automatically marked as an "overheating" state on the schematic diagram in the target system schematic component in the corresponding display form.

[0102] Dynamic visual representation (processing): a set of dynamic display rules for visualization states are defined in advance, which can dynamically adjust and configure the visual representation style of the schematic diagram in the target system schematic component according to the current state of the component (such as the current component operating state and the current pipeline operating state), such as changing the color, flashing, adding a state icon, etc.

[0103] Graphical user interface: a graphical user interface (GUI) for displaying the target system schematic component is pre-configured, for example, as shown in FIG. 2, which is a schematic diagram of a target system schematic diagram. In the interface shown in FIG. 2, the current system refrigerant operating direction of the target multi-split system and the system operating state of each component are displayed in real time in the above-mentioned manner. The user can observe and interactively select and review the states of different component assemblies in the target system operating state topology diagram in the interface. The user can view the detailed operating data of a specific component assembly by clicking the specific component assembly on the terminal.

[0104] In one or more embodiments of the present application, the terminal obtains target system configuration information and target device operating information of a target multi-split system, performs system diagram matching processing on the target multi-split system based on the target system configuration information to obtain a target system schematic component, and performs system operating state configuration on the target system schematic component based on the target device operating information to obtain a target system operating state topology diagram. By combining the obtained target system configuration information and target device operating information of the target multi-split system, the target system operating state topology diagram is configured, the system operating state can be fed back in real time, the system state acquisition is efficiently assisted, the system maintenance is conveniently implemented, the system management efficiency of the multi-split system is improved, and the system maintenance and management side can timely discover and solve system faults.

[0105] Please refer to FIG. 3, which is a flowchart of another embodiment of a multi-split system state processing method according to the present application. In an embodiment, the multi-split system state processing method can include the following steps:

[0106] S202: Obtain target system configuration information and target device running information of a target multi-split system;

[0107] For details, refer to the method steps of other embodiments of the present specification, which will not be described here.

[0108] S204: Determine a preset at least one reference system schematic component;

[0109] In an embodiment, the reference system schematic component is a dynamic running schematic component created for a certain multi-split system. The topology relationship schematic of one or more multi-split systems is generated in advance by using a component assembly automation method, and the topology relationship schematic supports the display of dynamic device running information, that is, the current system running state of the multi-split system can be dynamically displayed in real time through the system schematic component based on the real-time obtained device running information.

[0110] In an embodiment, the basic component item (also referred to as a basic component assembly) is extracted in advance, and the basic component item is reused when the reference system schematic component is built to complete the building of the reference system schematic component.

[0111] For example, refer to FIG. 4, which is a flowchart of a reference system schematic component determination. Specifically:

[0112] S2002: Obtain reference system schematics and reference system parameter information corresponding to a plurality of reference multi-split systems;

[0113] S2004: Extract basic components based on all the reference system schematics to obtain a plurality of basic component items;

[0114] For example, according to the system schematics of all the reference multi-split systems actually published, abstract classification is performed, common basic components are abstracted according to the system schematics, and a basic component assembly library containing basic component items corresponding to the basic components is built. The basic component assembly library includes component assemblies corresponding to different components such as indoor units, compressors, fans, heat exchangers, and gas-liquid separators. Each basic component item is configured with detailed attribute descriptions such as model, size, performance parameters, and interface type. Optionally, the component assembly library can support an expansion function, and the component assembly library can be configured as modular component assemblies and expandable component modules, so as to facilitate the addition of new components or the modification and optimization of existing components.

[0115] S2006: Configure the reference system schematic component based on the reference system parameter information by using the basic component items to the reference system schematic to obtain the reference system schematic component.

[0116] Further, the system schematics of all multi-split systems are classified in advance, and the system schematics of the multi-split systems are classified according to system configuration information (such as model series, compressor brand, number of nameplates, operation mode, and device quantity) to obtain reference system schematics of one or more categories of reference multi-split systems. Then, the intelligent configuration system or the self-defined configuration system is used based on the reference system schematics and reference system parameter information, and the configuration system can automatically select appropriate basic component assemblies and layout assemblies from the basic component library according to the input reference system schematics and system configuration information to generate an initial system schematic assembly.

[0117] Then, the initial system schematic assembly is connected dynamically, and the connection rules and pipeline layout standards between various components are defined based on pipeline connection rules, such as the size, material, and connection type of the pipeline. Thus, the pipeline is used to connect various used basic component items to generate reference system schematic assemblies of different categories, and reference system configuration information of the reference system schematic assemblies can be generated. The reference system schematic assemblies can be preinstalled in software (such as operation and maintenance software) to be called, and at least one reference system schematic assembly can be directly determined in the subsequent actual application process.

[0118] It can be understood that, by using the above method, the components and configuration schemes in the reference system schematic assembly library have been verified by actual application and have reliability and stability. The use of these system schematic assemblies in the subsequent use and maintenance of the multi-split system can ensure the consistency of the system in configuration and performance during maintenance, and facilitate daily maintenance and system upgrading.

[0119] S206: determining the target system schematic assembly corresponding to the target multi-split system from the at least one reference system schematic assembly based on the target system configuration information.

[0120] Illustratively, the reference system schematic assembly corresponds to reference system configuration information, and the recommended system configuration information matched with the target system configuration information is determined in the reference system configuration information. Then, the system schematic assembly indicated by the recommended system configuration information is taken as the target system schematic assembly from the reference system schematic assembly.

[0121] In an embodiment, the following implementation can be referred to:

[0122] A2: obtaining a set of reference device parameter information corresponding to all the reference system schematic assemblies;

[0123] The reference device parameter information set can be used as a component index of the reference system schematic diagram component, and the specific selection is based on parameter information matching. A device parameter information table can be created in advance for each reference system schematic diagram component to record the technical parameters and operation data of the reference system schematic diagram component. The device parameter information of all reference system schematic diagram components is sorted and summarized to form a complete parameter information set corresponding to all components. The reference device parameter information set can record the technical specifications, performance data, and application scenarios of each component used in the schematic diagram component.

[0124] A4: performing information matching on the target device parameter information based on the reference device parameter information set to obtain recommended device parameter information;

[0125] In the actual application stage, information matching can be performed based on the currently obtained target device parameter information to determine the matched recommended device parameter information.

[0126] For example, the similarity of the target device parameter information and each reference device parameter information in the set can be calculated, and the recommended device parameter information with a similarity greater than a similarity threshold is selected.

[0127] For example, the similarity of the target device parameter information and each reference device parameter information in the set can be calculated, and the recommended device parameter information with the highest similarity is selected.

[0128] A6: determining the target system schematic diagram component corresponding to the recommended device parameter information from the reference system schematic diagram components.

[0129] Illustratively, after determining the recommended device parameter information, the target system schematic diagram component indicated by the recommended device parameter information is selected from the reference system schematic diagram components.

[0130] By establishing and applying the reference system schematic diagram component, the maintenance efficiency of the multi-chiller system can be effectively improved. The target system schematic diagram component can be quickly found by using the reference device parameter information set to perform information matching to determine the target system schematic diagram component, and the target system schematic diagram component that best meets the target requirement is loaded to display a reliable target system schematic diagram. Subsequently, the system operation state configuration is performed based on the current target device operation information to obtain a target system operation state topology.

[0131] S208: performing system operation state configuration on the target system schematic diagram component based on the target device operation information to obtain a target system operation state topology.

[0132] For details, refer to the method steps of other embodiments of the present specification, which will not be repeated here.

[0133] In one or more embodiments of the present application, the terminal obtains target system configuration information and target device running information of a target multi-in-one system, performs system diagram matching processing on the target multi-in-one system based on the target system configuration information to obtain a target system schematic component, performs system running state configuration on the target system schematic component based on the target device running information to obtain a target system running state topology diagram, and configures the target system running state topology diagram by combining the obtained target system configuration information and target device running information of the target multi-in-one system. The system running state can be fed back in real time, system state acquisition is efficiently assisted, system maintenance is conveniently implemented, the system management efficiency of the multi-in-one system is improved, and system fault discovery and resolution can be assisted by the maintenance and management side in a timely manner.

[0134] For example, referring to FIG. 5, which is a flowchart of a state processing method of a multi-in-one system. In an embodiment, the state processing method of the multi-in-one system can include the following steps:

[0135] S3002: Obtain target system configuration information and target device running information of a target multi-in-one system.

[0136] S3004: Perform system diagram matching processing on the target multi-in-one system based on the target system configuration information to obtain a target system schematic component.

[0137] S3006: Perform system running state configuration on the target system schematic component based on the target device running information to obtain a target system running state topology diagram.

[0138] S3008: Determine whether the target device running information includes target system component fault information, determine a fault system component assembly and / or a fault refrigerant pipeline associated with the fault system component assembly, and perform fault state updating on the fault system component assembly and / or the fault refrigerant pipeline in the target system running state topology diagram based on the target system component fault information.

[0139] It can be understood that the state processing method of the multi-in-one system is a continuous monitoring process. After the target system running state topology diagram is initially displayed or after the target system running state topology diagram is displayed, the target device running information can be continuously monitored, and fault monitoring processing can be performed on the target device running information to determine whether the target device running information includes target system component fault information.

[0140] Optionally, the fault monitoring processing can be monitoring whether the target device running information includes a fault code. The fault code can be understood as a fault code generated by each component involved in the multi-in-one system when the component autonomously monitors a current fault. The fault code is reported to the multi-in-one system.

[0141] Optionally, the fault monitoring process can be: by setting a fault decision rule, using a rule decision rule to perform rule matching on the collected target device operation information, and obtaining an abnormal situation based on the rule matching result. When an abnormal situation is detected, a fault alarm is triggered and target system component fault information is recorded.

[0142] Based on the target system component fault information, the fault system component assembly and / or the associated fault refrigerant pipeline are determined, and based on the target system component fault information, the fault state of the fault system component assembly and / or the fault refrigerant pipeline in the target system operation state topology is updated;

[0143] Illustratively, based on the target system component fault information, a fault location process is performed to determine the specific component assembly that has failed, i.e., the fault system component assembly, in the target system operation state topology according to the target system component fault information and the target system operation state topology. The running data of the fault component assembly is analyzed based on the target system component fault information to determine the type and cause of the fault, so as to identify whether the refrigerant pipeline connected to the fault component is a pipeline fault, such as whether there is a refrigerant leak, blockage, etc. According to the pipeline fault identification result, the path of the refrigerant pipeline is tracked through the target system operation state topology to identify the associated fault refrigerant pipeline. The fault state of the fault system component assembly and / or the fault refrigerant pipeline in the target system operation state topology is updated.

[0144] Optionally, considering the actual operation and maintenance stage of the target multi-split system, the operation and maintenance personnel may not be experienced experts and may not be able to intuitively or quickly understand the deep fault cause or fault phenomenon from the target system operation state topology. Based on this, a machine learning model that can automatically analyze system faults is introduced in this specification to automatically output a reference system fault handling report, as follows:

[0145] After performing the fault state update of the fault system component assembly and / or the fault refrigerant pipeline in the target system operation state topology based on the target system component fault information, the following methods can also be used:

[0146] Specifically, based on the target system operation state topology and the target device operation information, a multi-split system analysis model is used to perform system fault reasoning processing on the target multi-split system, and a reference system fault handling report is output. The reference system fault handling report is sent to the management terminal corresponding to the target multi-split system.

[0147] The multi-split system analysis model is obtained by model training of a machine learning model based on multi-split system running samples with labeled system fault handling report labels. The multi-split system running samples include sample system operation state topology and sample target device operation information.

[0148] The model training process of the multi-connected system analysis model is explained as follows:

[0149] Model creation: create an initial multi-connected system analysis model for the multi-connected system analysis scene based on a machine learning model;

[0150] Sample data acquisition: acquire a large number of multi-connected system running samples. The multi-connected system running samples include sample system running state topology and sample target device running information.

[0151] Sample data labeling: based on the requirements of the multi-connected system analysis scene, introduce expert end service to manually label the multi-connected system running samples with corresponding sample labels, including system fault handling report labels according to the system state analysis template.

[0152] Model training process: input the sample data into the initial multi-connected system analysis model for at least one round of model training to obtain a predicted system fault handling report, determine a model loss value based on the predicted system fault handling report and the system fault handling report label using a model loss function, adjust the model parameters of the initial multi-connected system analysis model based on the model loss value, and until the model training end condition is met to obtain the multi-connected system analysis model.

[0153] Optionally, the model loss function can be a hinge loss function, a cross-entropy loss function, a feature distance loss function, etc.

[0154] Optionally, the model end training condition of the model can include, for example, the value of the loss function is less than or equal to a pre-set loss function threshold, the number of iterations reaches a pre-set number threshold, etc. The specific model end training condition can be determined based on the actual situation, which is not limited here.

[0155] It should be noted that the machine learning model involved in one or more embodiments of the present specification includes but is not limited to one or more of the following machine learning models: convolutional neural network (CNN) model, deep neural network (DNN) model, recurrent neural network (RNN), embedding model, gradient boosting decision tree (GBDT) model, logistic regression (LR) model, etc.

[0156] Optionally, the machine learning model can also be obtained by adapting a pre-trained large language model; a large language model (LLM) is an artificial intelligence content generation model designed to understand and generate human language. A large language model is trained on a large amount of data and can perform a wide range of tasks, including text summarization, translation, sentiment analysis, etc.

[0157] In one possible implementation, a pre-trained large language model can be obtained, and the large language model can be adapted to the multi-online system parsing scenario. An initial multi-online system parsing model is created using the pre-trained large language model, and a multi-online system running sample under a new multi-online system parsing scenario is obtained. The initial multi-online system parsing model is fine-tuned using the multi-online system running sample. After the fine-tuning is completed, a multi-online system parsing model adapted to the multi-online system parsing scenario is obtained.

[0158] Further, the multi-online system parsing model is used to infer the system fault of the target multi-online system based on the target system running state topology graph and the target device running information, and a reference system fault handling report is output. The following methods can be used:

[0159] 1. Generating system state analysis prompt words for the target multi-online system based on the target system running state topology graph and the target device running information;

[0160] The system state analysis prompt words are configured to instruct the multi-online system parsing model to perform system state analysis processing on the target system running state topology graph and the target device running information. The system state analysis prompt words can include at least two parts: system fault analysis prompt words and system troubleshooting suggestion prompt words based on the target system running state topology graph and the target device running information. The system fault analysis prompt words can instruct the multi-online system parsing model to detect whether there is a system fault condition and perform system fault analysis when there is a system fault condition. The system troubleshooting prompt words can instruct the multi-online system parsing model to give troubleshooting suggestions for system faults.

[0161] Optionally, the system state analysis prompt words can use a fixed system analysis prompt word template. The system analysis prompt word template can be used to construct the system state analysis prompt words for the target system running state topology graph and the target device running information.

[0162] In some embodiments, the target system component fault information can be used instead of the target device running information.

[0163] 2, input the system state analysis prompt words, the target system running state topology graph and the target device running information into the multi-online system analysis model, control the multi-online system analysis model to perform fault analysis processing on the target multi-online system to obtain system fault analysis, and perform troubleshooting reasoning processing based on the system fault analysis report to obtain system troubleshooting suggestions, and output a reference system fault processing report including the system fault analysis and the system troubleshooting suggestions through the multi-online system analysis model.

[0164] The following explains the model training process of training the multi-online system analysis model based on the basic large language model:

[0165] Model creation: obtain a basic large language model, create a multi-online system analysis scene adaptation module for a multi-online system analysis scene and a large language generation module based on the basic large language model, and compose an initial multi-online system analysis model based on the large language generation module and the multi-online system analysis scene adaptation module.

[0166] Sample data acquisition: a large number of multi-online system running samples are obtained. The multi-online system running samples include sample system running state topology graphs and sample target device running information, and sample system state analysis prompt words for the multi-online system samples are generated based on the multi-online system running samples.

[0167] Sample data labeling: based on the requirements of the multi-online system analysis scene, an expert end service is introduced to manually label the multi-online system running samples with corresponding sample labels by artificial labeling. The sample labels include system fault processing report labels according to the system state analysis templates.

[0168] Model training process: input the sample data and the sample system state analysis prompt words into the initial multi-online system analysis model for at least one round of model training to obtain a predicted system fault processing report, determine a model loss value based on the predicted system fault processing report and the system fault processing report labels using a model loss function, adjust the model parameters of the multi-online system analysis scene adaptation module in the initial multi-online system analysis model based on the model loss value, and control the model parameters of the large language generation module to be unchanged. Until the model training end condition is met.

[0169] Then the model fusion of the large language generation module and the multi- online system scene analysis and adaptation module is performed: the model structure layer weight of the multi- online system scene analysis and adaptation module is fused with the large language generation module, the corresponding target model structure layer of the model structure layer weight in the large language generation module is determined, the model structure layer parameters of the target model structure layer are fused with the model structure layer weight, the model structure layer weight of the multi- online system scene analysis and adaptation module can only correspond to part of the model structure layers in the basic large language model and there is a model structure layer weight, the parameter updating of the model structure layer based on the model structure layer weight is completed for the part of the target model structure layers, and the reference updating process of all the model structure layer weights is completed in this way, so that the trained multi- online system analysis model is obtained.

[0170] Optionally, the model end training condition of the model can include that the value of the loss function is less than or equal to a preset loss function threshold, the number of iterations reaches a preset number threshold, and the like. The specific model end training condition can be determined based on actual conditions, which is not limited here.

[0171] S3010: In response to the component detection operation on the target system component assembly in the target system running state topology graph, target system component running information of the target system component assembly is obtained, and the target system component running information is displayed.

[0172] For example, as shown in FIG. 2, FIG. 2 is an interface schematic diagram of a target system principle diagram. In the interface shown in FIG. 2, the current system refrigerant running direction of the target multi- online system and the system running state of each component are displayed in real time in the above manner. The user can observe and interactively select and check the state of different component assemblies in the target system running state topology graph in real time. The user can input the component detection operation by clicking the target system component assembly on the terminal, at which time the terminal obtains the target system component running information of the target system component assembly, and then displays the target system component running information in the target system running state topology graph to view the detailed running data of the specific assembly.

[0173] In one or more embodiments of the present application, by combining the obtained target system configuration information and target device running information of the target multi- online system, configuring the target system running state topology graph, and updating the fault state of the fault system component assembly and / or the fault refrigerant pipeline in the target system running state topology graph based on the target system component fault information when a system fault occurs, the system fault running state can be fed back in real time, the intuitive display of the system fault state when the system fails can be efficiently assisted, and the maintenance and management side can be conveniently assisted to realize system fault maintenance, the system management efficiency and fault handling capability of the multi- online system are improved, and the maintenance and management side can timely discover and solve system faults.

[0174] The state processing apparatus of the multi-split system according to the embodiments of the present application will be described in detail below with reference to FIG. 6. It should be noted that the state processing apparatus of the multi-split system shown in FIG. 6 is configured to perform the method of the embodiments shown in FIGS. 1-5 of the present application, and only parts related to the embodiments of the present application are shown for the purpose of illustration, and specific technical details not disclosed are referred to the embodiments shown in FIGS. 1-5 of the present application.

[0175] Please refer to FIG. 6, which shows a structural schematic diagram of the state processing apparatus of the multi-split system according to the embodiments of the present application. The state processing apparatus 1 of the multi-split system can be realized by software, hardware or a combination of both to become all or part of the apparatus. According to some embodiments, the state processing apparatus 1 of the multi-split system includes an information acquisition module 11 of the multi-split system, a system matching module 12 and a running acquisition module 13, which are specifically configured as follows:

[0176] The information acquisition module 11 is configured to acquire target system configuration information and target equipment running information of a target multi-split system.

[0177] The system matching module 12 is configured to perform system diagram matching processing on the target multi-split system based on the target system configuration information to obtain a target system schematic component; and

[0178] The running acquisition module 13 is configured to perform system running state configuration on the target system schematic component based on the target equipment running information to obtain a target system running state topology diagram.

[0179] In an embodiment, as shown in FIG. 7, the system matching module 12 includes:

[0180] A preset component determination unit 121 is configured to determine at least one reference system schematic component;

[0181] A target component matching unit 122 is configured to determine a target system schematic component of the target multi-split system from the at least one reference system schematic component based on the target system configuration information.

[0182] In an embodiment, the target component matching unit 122 is configured to:

[0183] Acquire a reference equipment parameter information set corresponding to each of the reference system schematic components;

[0184] Perform information matching on the target equipment parameter information based on the reference equipment parameter information set to obtain recommended equipment parameter information; and

[0185] Determine a target system schematic component corresponding to the recommended equipment parameter information from each of the reference system schematic components.

[0186] In an embodiment, the system matching module 12 is further configured to:

[0187] obtain reference system schematics and reference system parameter information corresponding to a plurality of reference multi-split system;

[0188] perform basic component extraction based on all the reference system schematics to obtain a plurality of basic component items; and

[0189] perform system schematic component configuration on the reference system schematics based on the reference system parameter information and the basic component items to obtain reference system schematic components.

[0190] In an embodiment, the device 1 is further configured to:

[0191] determine that the target equipment operation information includes target system component fault information, determine a fault system component assembly and / or a fault refrigerant pipeline associated with the fault system component assembly, and perform fault state updating on the fault system component assembly and the fault refrigerant pipeline in the target system operation state topology based on the target system component fault information; and / or,

[0192] in response to a component detection operation on a target system component assembly in the target system operation state topology, obtain target system component operation information of the target system component assembly, and display the target system component operation information.

[0193] In an embodiment, the device 1 further comprises:

[0194] a report generation module 14 configured to perform system fault reasoning processing on the target multi-split system based on the target system operation state topology and the target equipment operation information using a multi-split system analysis model, and output a reference system fault handling report;

[0195] send the reference system fault handling report to a management terminal corresponding to the target multi-split system;

[0196] wherein the multi-split system analysis model is obtained by model training on a machine learning model based on multi-split system operation samples labeled with system fault handling report labels, and the multi-split system operation samples include sample system operation state topologies and sample target equipment operation information.

[0197] In an embodiment, the machine learning model is a basic large language model, and the report generation module 14 is configured to:

[0198] generate system state analysis prompt words for the target multi-split system based on the target system operation state topology and the target equipment operation information.

[0199] inputting the system state analysis prompt word, the target system running state topology graph and the target device running information into a multi-online system analysis model;

[0200] controlling the multi-online system analysis model to perform fault analysis processing on the target multi-online system to obtain system fault analysis, and performing troubleshooting reasoning processing based on the system fault analysis report to obtain system troubleshooting suggestions; and

[0201] outputting, by the multi-online system analysis model, a reference system fault processing report including the system fault analysis and the system troubleshooting suggestions.

[0202] It should be noted that the multi-online system state processing apparatus provided in the above embodiments, when performing the multi-online system state processing method, is only exemplified by the division of the above functional modules, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the multi-online system state processing apparatus and the multi-online system state processing method embodiments provided in the above embodiments belong to the same concept, and the implementation process is detailed in the method embodiments, which will not be repeated here.

[0203] The serial numbers of the above embodiments of the present application are only for description, and do not represent the advantages or disadvantages of the embodiments.

[0204] The terminal obtains target system configuration information and target device running information of a target multi-online system, performs system graph matching processing on the target multi-online system based on the target system configuration information to obtain a target system schematic component, performs system running state configuration on the target system schematic component based on the target device running information to obtain a target system running state topology graph, and configures the target system running state topology graph by combining the obtained target system configuration information and target device running information of the target multi-online system. The system running state can be fed back in real time, system state acquisition is efficiently assisted, system maintenance is conveniently implemented, the system management efficiency of the multi-online system is improved, and system fault discovery and solution can be assisted on the maintenance management side in a timely manner.

[0205] The embodiments of the present application also provide a computer storage medium, which can store a plurality of instructions, the instructions being suitable for being loaded and executed by a processor to perform the multi-online system state processing method of the embodiments shown in FIGS. 1-5, and the specific execution process can be referred to the specific description of the embodiments shown in FIGS. 1-5, which will not be repeated here.

[0206] The application further provides a computer program product storing at least one instruction, which is loaded and executed by the processor to perform the state processing method of the multi- online system according to the above-mentioned embodiments shown in FIG. 1 to FIG. 5. For details, refer to the specific description of the embodiments shown in FIG. 1 to FIG. 5, which will not be repeated here.

[0207] Referring to FIG. 8, a structural block diagram of an electronic device according to an example embodiment of the present application is shown. The electronic device according to the present application can include one or more of the following components: a processor 110, a memory 120, an input device 130, an output device 140, and a bus 150. The processor 110, the memory 120, the input device 130, and the output device 140 can be connected through the bus 150.

[0208] The processor 110 can include one or more processing cores. The processor 110 connects various parts in the entire electronic device by using various interfaces and lines, executes various functions of the electronic device 100 and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 120, and calling data stored in the memory 120. Alternatively, the processor 110 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 110 can be integrated with a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU is mainly used to process an operating system, a user interface, and an application program; the GPU is configured to be responsible for rendering and drawing display content; and the modem is configured to process wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 110, but can be realized by a separate communication chip.

[0209] The memory 120 can include a random access memory (RAM) and can also include a read-only memory (ROM). Optionally, the memory 120 includes a non-transitory computer-readable storage medium. The memory 120 can be configured to store instructions, programs, codes, code sets, or instruction sets. The memory 120 can include a program storage area and a data storage area, where the program storage area can store instructions configured to implement an operating system, instructions configured to implement at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions configured to implement each of the methods described below, etc., and the operating system can be an Android system, an IOS system developed by Apple Inc., a system developed based on the Android system or the IOS system, or other systems. The data storage area can also store data created by the electronic device during use, such as a phone book, audio and video data, chat record data, etc.

[0210] Referring to FIG. 9, the memory 120 can be divided into an operating system space and a user space, where the operating system runs in the operating system space, and native and third-party applications run in the user space. In order to ensure that different third-party applications can achieve good running effects, the operating system allocates corresponding system resources to different third-party applications. However, there are also differences in the demand for system resources in different application scenarios of the same third-party application. For example, in a local resource loading scenario, the third-party application has a higher requirement for disk reading speed; in an animation rendering scenario, the third-party application has a higher requirement for GPU performance. However, the operating system and the third-party application are independent of each other, and the operating system often cannot timely perceive the current application scenario of the third-party application, resulting in that the operating system cannot adaptively perform system resource adaptation according to the specific application scenario of the third-party application.

[0211] In order to enable the operating system to distinguish the specific application scenario of the third-party application, it is necessary to open up the data communication between the third-party application and the operating system, so that the operating system can obtain the current scenario information of the third-party application at any time, and then adaptively perform system resource adaptation based on the current scenario.

[0212] Taking an Android system as an example, programs and data stored in the memory 120 are shown in FIG. 10. The memory 120 can store a Linux kernel layer 320, a system runtime library layer 340, an application framework layer 360, and an application layer 380. The Linux kernel layer 320, the system runtime library layer 340, and the application framework layer 360 belong to an operating system space, and the application layer 380 belongs to a user space. The Linux kernel layer 320 provides a bottom layer driver for various hardware of the electronic device, such as a display driver, an audio driver, a camera driver, a Bluetooth driver, a Wi-Fi driver, power management, and the like. The system runtime library layer 340 provides main feature support for the Android system through some C / C++ libraries. For example, a SQLite library provides database support, an OpenGL / ES library provides 3D drawing support, a Webkit library provides browser kernel support, and the like. An Android runtime is also provided in the system runtime library layer 340, which mainly provides some core libraries to allow developers to use Java language to write Android applications. The application framework layer 360 provides various APIs that can be used when building an application program, and developers can also build their own application programs by using the APIs, such as activity management, window management, view management, notification management, content provider, package management, call management, resource management, and location management. At least one application program is running in the application layer 380. The application programs can be native application programs provided with the operating system, such as a contact program, a message program, a clock program, a camera application, and the like, or third-party application programs developed by third-party developers, such as a game application program, an instant messaging program, a photo beautification program, and the like.

[0213] For example, in the IOS system, the programs and data stored in the memory 120 are shown in FIG. 11. The IOS system includes a Core OS layer 420, a Core Services layer 440, a Media layer 460, and a Cocoa Touch layer 480. The Core OS layer 420 includes the operating system kernel, drivers, and low-level program frameworks that provide more hardware-oriented functionality to the program frameworks in the Core Services layer 440. The Core Services layer 440 provides system services and / or program frameworks that an application needs, such as a Foundation framework, an Account framework, an Ad framework, a Data Store framework, a Network Connectivity framework, a Geolocation framework, a Motion framework, and the like. The Media layer 460 provides interfaces for applications related to audio and video, such as interfaces related to graphics images, interfaces related to audio technology, interfaces related to video technology, an AirPlay interface for wireless audio and video transmission technology, and the like. The Cocoa Touch layer 480 provides various commonly used interface-related frameworks for application development. The Cocoa Touch layer 480 is responsible for touch interaction operations of a user on an electronic device, such as a local notification service, a remote push service, an Ad framework, a Game Kit framework, a Message User Interface (UI) framework, a user interface UIKit framework, a map framework, and the like.

[0214] In the framework shown in FIG. 11, the frameworks related to most applications include, but are not limited to, the Foundation framework in the Core Services layer 440 and the UIKit framework in the Cocoa Touch layer 480. The Foundation framework provides many basic object classes and data types, and provides the most basic system services for all applications, and is independent of the UI. The UIKit framework provides basic UI class libraries, and is configured to create a touch-based user interface. An iOS application can provide a UI based on the UIKit framework, so it provides the basic framework of an application, and is configured to build a user interface, draw, handle and respond to user interaction events, respond to gestures, and the like.

[0215] In the IOS system, the manner and principle of implementing data communication between a third-party application and an operating system can refer to the Android system, which will not be described herein.

[0216] The input device 130 is configured to receive input instructions or data, and the input device 130 includes but is not limited to a keyboard, a mouse, a camera, a microphone, or a touch device. The output device 140 is configured to output instructions or data, and the output device 140 includes but is not limited to a display device and a speaker. In an example, the input device 130 and the output device 140 can be combined, and the input device 130 and the output device 140 are a touch display screen configured to receive a touch operation of a user using a finger, a touch pen, or any suitable object on or near the touch display screen, and display a user interface of each application. The touch display screen is usually arranged on a front panel of the electronic device. The touch display screen can be designed as a full screen, a curved screen, or a special-shaped screen. The touch display screen can also be designed as a combination of a full screen and a curved screen, a combination of a special-shaped screen and a curved screen, and the present application does not limit the combination.

[0217] In addition, those skilled in the art can understand that the structure of the electronic device shown in the above-described drawings does not constitute a limitation on the electronic device, and the electronic device can include more or fewer components than those shown in the drawings, or combine certain components, or different component arrangements. For example, the electronic device further includes a radio frequency circuit, an input unit, a sensor, an audio circuit, a wireless fidelity (WiFi) module, a power supply, a Bluetooth module, and the like, which are not described herein.

[0218] In the embodiments of the present application, the execution subject of each step can be the electronic device introduced above. Alternatively, the execution subject of each step is an operating system of the electronic device. The operating system can be an Android system, an IOS system, or other operating systems, and the present application does not limit the operating system.

[0219] The electronic device of the embodiments of the present application can further have a display device installed thereon, which can be various devices capable of realizing display functions, such as a cathode ray tube display (CR), a light-emitting diode display (LED), an electronic ink screen, a liquid crystal display (LCD), a plasma display panel (PDP), and the like. A user can use the display device on the electronic device 101 to view displayed text, images, video, and the like. The electronic device can be a smart phone, a tablet computer, a game device, an AR (Augmented Reality) device, a car, a data storage device, an audio playback device, a video playback device, a notebook, a desktop computing device, a wearable device such as an electronic watch, electronic glasses, an electronic helmet, an electronic bracelet, an electronic necklace, an electronic clothing, and the like.

[0220] In the electronic device shown in FIG. 8, the electronic device can be a terminal, and the processor 110 can be configured to invoke an application stored in the memory 120 and specifically perform the following operations:

[0221] obtain target system configuration information and target device running information of a target multi-machine system;

[0222] perform system diagram matching processing on the target multi-machine system based on the target system configuration information to obtain target system schematic components; and

[0223] perform system running state configuration on the target system schematic components based on the target device running information to obtain a target system running state topology.

[0224] In one embodiment, the processor 110, when performing the system diagram matching processing on the target multi-machine system based on the target system configuration information to obtain target system schematic components, can perform the following steps:

[0225] determine at least one reference system schematic component; and

[0226] determine target system schematic components for the target multi-machine system from the at least one reference system schematic component based on the target system configuration information.

[0227] In one embodiment, the processor 110, when performing the determination of target system schematic components for the target multi-machine system from the at least one reference system schematic component based on the target system configuration information, can perform the following steps:

[0228] obtaining a reference device parameter information set corresponding to each of the reference system schematic components;

[0229] performing information matching on the target device parameter information based on the reference device parameter information set to obtain recommended device parameter information; and

[0230] determining a target system schematic component corresponding to the recommended device parameter information from each of the reference system schematic components.

[0231] In an embodiment, the processor 110, when executing the method, can further perform the following steps:

[0232] obtaining reference system schematics and reference system parameter information corresponding to a plurality of reference multi-split system;

[0233] performing basic component extraction based on all the reference system schematics to obtain a plurality of basic component items; and

[0234] configuring reference system schematic components based on the reference system parameter information and using the basic component items to perform system schematic configuration on the reference system schematics.

[0235] In an embodiment, the processor 110, when executing the method, can further perform the following steps:

[0236] determining that the target device operation information includes target system component fault information, determining a fault system component assembly and / or a fault refrigerant pipeline associated with the fault system component assembly, and updating a fault state of the fault system component assembly and the fault refrigerant pipeline in the target system operation state topology based on the target system component fault information; and / or

[0237] in response to a component detection operation on a target system component assembly in the target system operation state topology, obtaining target system component operation information of the target system component assembly, and displaying the target system component operation information.

[0238] In an embodiment, the processor 110, after executing the step of updating the fault state of the fault system component assembly and the fault refrigerant pipeline in the target system operation state topology based on the target system component fault information, can further perform the following steps:

[0239] performing system fault reasoning processing on the target multi-split system based on a multi-split system analysis model and using the target system operation state topology and the target device operation information, and outputting a reference system fault processing report;

[0240] send the reference system fault handling report to a management terminal corresponding to the target multi-computer system;

[0241] The multi-computer system analysis model is obtained by training a machine learning model based on multi-computer system running samples with labeled system fault handling report labels, and the multi-computer system running samples include sample system running state topology graphs and sample target device running information.

[0242] In one embodiment, the machine learning model is a basic large language model, and the processor 110 performs system fault inference processing on the target multi-computer system based on the target system running state topology graph and the target device running information using a multi-computer system analysis model, and outputs a reference system fault handling report, which can perform the following steps:

[0243] generating system state analysis prompt words for the target multi-computer system based on the target system running state topology graph and the target device running information;

[0244] inputting the system state analysis prompt words, the target system running state topology graph, and the target device running information into a multi-computer system analysis model;

[0245] controlling the multi-computer system analysis model to perform fault analysis processing on the target multi-computer system to obtain system fault analysis, and performing troubleshooting inference processing based on the system fault analysis report to obtain system troubleshooting suggestions; and

[0246] outputting a reference system fault handling report including the system fault analysis and the system troubleshooting suggestions through the multi-computer system analysis model.

[0247] In one or more embodiments of the present application, the terminal obtains target system configuration information and target device running information of a target multi-computer system, performs system graph matching processing on the target multi-computer system based on the target system configuration information to obtain a target system schematic component, performs system running state configuration on the target system schematic component based on the target device running information to obtain a target system running state topology graph, and configures the target system running state topology graph by combining the obtained target system configuration information and target device running information of the target multi-computer system. The system running state topology graph can be used to real-time feedback of system running state, efficient assistance of system state acquisition, and convenient implementation of system maintenance, thereby improving the system management efficiency of the multi-computer system and assisting maintenance and management to timely discover and solve system faults.

[0248] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing relevant hardware. The program can be stored in a computer readable storage medium, and when the program is executed, the processes of the above-mentioned embodiment methods can be included. The storage medium can be a magnetic disc, an optical disc, a read-only memory, a random access memory, etc.

[0249] The above disclosure is only the preferred embodiment of the present application, and of course cannot limit the scope of the right of the present application, so the equivalent changes made according to the claims of the present application still belong to the scope covered by the present application.

Claims

1. A method of state processing of a multi-split system, wherein, Applied to a terminal, the method comprises: Obtaining target system configuration information and target device running information of a target multi-chiller system; Based on the target system configuration information, the target multi-chiller system is subjected to system diagram matching processing to obtain a target system schematic component; and Based on the target device running information, the target system schematic component is subjected to system running state configuration to obtain a target system running state topology diagram, and the target system running state topology diagram is displayed.

2. The method of claim 1, wherein, The target system schematic component corresponding to the target multi-chiller system is determined from the at least one reference system schematic component based on the target system configuration information. The target system schematic component corresponding to the target multi-chiller system is determined from the at least one reference system schematic component based on the target system configuration information, comprising: Obtaining a reference device parameter information set corresponding to all the reference system schematic components; 3. The method of claim 2, wherein, Based on the reference device parameter information set, the target device parameter information is subjected to information matching to obtain recommended device parameter information; and The target system schematic component corresponding to the recommended device parameter information is determined from each of the reference system schematic components. The method further comprises: Obtaining reference system schematics and reference system parameter information corresponding to a plurality of reference multi-chiller systems; 4. The method according to any one of claims 1 to 3, wherein, Based on all the reference system schematics, a plurality of basic component items are extracted to obtain a plurality of basic component items; and Based on the reference system parameter information, the basic component items are used to configure the reference system schematic components of the reference system schematics to obtain reference system schematic components. The target system schematic component corresponding to the target multi-chiller system is determined from the at least one reference system schematic component based on the target system configuration information, comprising: Based on reference system schematics and system configuration information, a basic component item and a layout component configuration for the basic component item are selected from a basic component library; 5. The method according to any one of claims 1 to 4, wherein, Based on the basic component item and the layout component configuration, an initial system schematic component is generated; and Based on pipeline connection rules, connection rules and pipeline layout standards between various basic component items are defined for the initial system schematic component, and reference system schematic components are generated by dynamically connecting pipelines to each basic component item. The target system schematic component corresponding to the target multi-chiller system is determined from the at least one reference system schematic component based on the target system configuration information, comprising: Based on target device running information, current component running states and current pipeline running states in the target system schematic component are determined by state analysis processing; and 6. The method of any one of claims 1 to 5, wherein, ​ ​ Map the current component running state and the current pipeline running state to a target system schematic component for dynamic visual representation, generate a target system running state topology graph, and output and display the target system running state topology graph in a preset user interface.

7. The method of claim 6, wherein, The mapping of the current component running state and the current pipeline running state to the target system schematic component for dynamic visual representation comprises: Adopting a predefined visualization state dynamic display rule, configuring the schematic visual representation style of the target system schematic component according to the current component running state and the current pipeline running state.

8. The method of any one of claims 1 to 7, wherein, The display of the target system running state topology graph comprises: Displaying the target system running state topology graph through the target system schematic component, and showing the current system refrigerant running direction of the target multi-split system, the component system running state of each basic component item, and the current pipeline running state in the target system running state topology graph.

9. The method of any one of claims 1 to 8, wherein, The method further comprises: Receiving a user's state viewing instruction for a specific component in the target system running state topology graph, and displaying the running data of the specific component.

10. The method of any one of claims 1 to 9, wherein, The method further comprises: Determining that the target device running information has target system component fault information, determining a fault system component assembly and / or a fault refrigerant pipeline associated with the fault system component assembly, and updating the fault state of the fault system component assembly and / or the fault refrigerant pipeline in the target system running state topology graph based on the target system component fault information; and / or, In response to a component detection operation on a target system component assembly in the target system running state topology graph, obtaining target system component running information of the target system component assembly, and displaying the target system component running information.

11. The method of claim 10, wherein, Before the determination that the target device running information has target system component fault information, the method further comprises: During the initial display of the target system running state topology graph or after the display of the target system running state topology graph, continuously monitoring the target device running information of the target multi-split system; and Performing fault monitoring processing on the target device running information to determine whether the target device running information has target system component fault information.

12. The method of claim 10, wherein, After the updating of the fault state of the fault system component assembly and / or the fault refrigerant pipeline in the target system running state topology graph based on the target system component fault information, the method further comprises: Based on the target system running state topology graph and the target device running information, performing system fault reasoning processing on the target multi-split system using a multi-split system analysis model, and outputting a reference system fault processing report; and Sending the reference system fault processing report to a management terminal corresponding to the target multi-split system; The multi-split system analysis model is obtained by model training of a machine learning model based on multi-split system running samples labeled with system fault processing report labels, and the multi-split system running samples comprise sample system running state topology graphs and sample target device running information.

13. The method of claim 12, wherein, The machine learning model is a basic large language model, The target multi-computer system is analyzed by using the multi-computer system analysis model based on the target system running state topology graph and the target device running information, and a reference system fault handling report is output, including: Generating a system state analysis prompt word for the target multi-computer system based on the target system running state topology graph and the target device running information; Inputting the system state analysis prompt word, the target system running state topology graph, and the target device running information into the multi-computer system analysis model; Controlling the multi-computer system analysis model to analyze the target multi-computer system to obtain system fault analysis, and based on the system fault analysis report, troubleshooting reasoning processing is performed to obtain system troubleshooting suggestions; and Outputting a reference system fault handling report including the system fault analysis and the system troubleshooting suggestions through the multi-computer system analysis model.

14. A method of state processing for a multi-split system, wherein, The method is applied to a multi-computer system, and the method includes: Obtaining target system configuration information and target device running information; and Sending the target system configuration information and the target device running information to a terminal, so that the terminal performs system diagram matching processing on the target multi-computer system based on the target system configuration information to obtain a target system schematic diagram component, performs system running state configuration on the target system schematic diagram component based on the target device running information to obtain a target system running state topology graph, and displays the target system running state topology graph.

15. A state handling system, wherein, The state processing system includes a terminal and a multi-computer system, and the state processing system includes: The multi-computer system obtains target system configuration information and target device running information, and sends the target system configuration information and the target device running information to a terminal; and The terminal performs system diagram matching processing on the target multi-computer system based on the target system configuration information to obtain a target system schematic diagram component, performs system running state configuration on the target system schematic diagram component based on the target device running information to obtain a target system running state topology graph, and displays the target system running state topology graph.

16. A state processing apparatus of a multi V.P.U. system, wherein, The device includes: A processor and a memory arranged to store computer-executable instructions that, when executed, cause the processor to perform the state processing method of the multi-computer system according to any one of claims 1 to 13; An information acquisition module configured to acquire target system configuration information and target device running information of a target multi-computer system; A system matching module configured to perform system diagram matching processing on the target multi-computer system based on the target system configuration information to obtain a target system schematic diagram component; and An operation acquisition module configured to perform system running state configuration on the target system schematic diagram component based on the target device running information to obtain a target system running state topology graph, and display the target system running state topology graph.

17. A computer storage medium, wherein, The computer storage medium stores a plurality of instructions, which are suitable for being loaded and executed by a processor to perform the method steps of any one of claims 1 to 13, 14, and 15.

18. An electronic device, comprising: Including: a processor and a memory; wherein the memory stores a computer program adapted to be loaded and executed by the processor and to perform the method steps of any one of claims 1 to 13, 14 and 15.

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