Energy consumption analysis method, device, chip and terminal based on digital twin system

Abstract

An energy consumption analysis method based on a digital twin system. A target energy (e.g. solar) and a life-cycle path of the target energy in the digital twin system are identified. The life-cycle

Description

TECHNICAL FIELD

[0001] The present invention relates to the technical field of artificial intelligence, and particularly relates to an energy consumption analysis method, device, chip and terminal based on a digital twin system. BACKGROUND

[0002] Energy consumption has increased significantly with accelerating industrialization and urbanization. Decrease of the energy consumption requires energy-saving technologies, energy-saving devices and renewable resources, and also energy management, such as energy device management and energy utilization enhancement.

[0003] In the prior art, regarding energy management and energy-saving technologies, a large amount of real-time data is usually used to display energy consumption states of each device so as to find out causes of energy waste, such that accuracy and efficiency of energy consumption analysis are relatively low. SUMMARY

[0004] In view of this, the present invention provides an energy consumption analysis method, device, chip and terminal based on a digital twin system. According to the method, energy efficiency indicators of physical devices are calibrated based on life-cycle paths to display the energy consumption of the physical devices and improve the accuracy and efficiency of energy consumption analysis.

[0005] In a first aspect, an energy consumption analysis method based on a digital twin system is provided, including the following steps:

[0006] identifying target energy and a life-cycle path of the target energy in the digital twin system, where the life-cycle path includes N physical devices;

[0007] extracting an nth sub-path from the life-cycle path, where the nth sub-path includes the nth terminal device and all intermediate devices through which the target energy reaches the nth terminal device;

[0008] acquiring nth operation data of the nth sub-path;

[0009] constructing an energy efficiency indicator calculation formula for the nth terminal device according to the nth sub-path, and calculating an energy efficiency indicator of the nth terminal device according to the nth operation data and the energy efficiency indicator calculation formula for the nth terminal device; and

[0010] marking the nth terminal device and the nth sub-path to be abnormal in the digital twin system when the energy efficiency indicator of the nth terminal device indicates abnormal energy consumption within a preset period, where

[0011] N is a positive integer, and n is a positive integer less than or equal to N.

[0012] Optionally, the constructing an energy efficiency indicator calculation formula for the nth terminal device according to the nth sub-path includes the following substeps:

[0013] obtaining an impact factor corresponding to each of the N physical devices and storing it in an impact factor set;

[0014] retrieving a physical device involved in energy efficiency indicator calculation from the nth sub-path according to a category of the energy efficiency indicator, and invoking an impact factor associated with the calculation from the impact factor set according to the physical device involved in the energy efficiency indicator calculation; and

[0015] constructing the energy efficiency indicator calculation formula for the nth terminal device according to the impact factor associated with the calculation, where any physical device involved in the energy efficiency indicator calculation from the nth sub-path corresponds to one or more impact factors.

[0016] Optionally, the constructing the energy efficiency indicator calculation formula for the nth terminal device according to the impact factor associated with the calculation includes the following substeps:

[0017] storing the impact factor associated with the calculation in a set to be calculated, where the set to be calculated includes a first impact factor, a second impact factor, ..., and a Kth impact factor;

[0018] setting a weight of the impact factor associated with the calculation, where the weight includes a first weight based on the physical device and a second weight based on an impact type;

[0019] the constructing the energy efficiency indicator calculation formula for the nth terminal device is detailed as follows:

[0020] the energy efficiency indicator of the nth terminal device = Al*(all first impact factor + al2 first impact factor + ... + alm first impact factor + ... + a IM first impact factor) + A2*(a21 second impact factor + a22 second impact factor +...+ a2m second impact factor + ...+ a2M second impact factor) +...+ Ak*(akl kth impact factor + ak2 kth impact factor + ...+ akm kth impact factor +...+ akM kth impact factor) +...+ AK*(aKl Kth impact factor + aK2 Kth impact factor +...+ aKm Kth impact factor +...+ aKM Kth impact factor); and [0021 ] where AK represents the second weight based on an impact type, akm represents the first weight of the kth impact factor based on the physical device; Al+A2+...+Ak+...+AK=l, akl+ak2+... +akm+...+akM=l, where m represents the physical device involved in the energy efficiency indicator calculation from the nth sub-path, k represents the impact factor corresponding to the mth physical device involved in the energy efficiency indicator calculation from the nth sub-path, M represents a total number of physical devices involved in the energy efficiency indicator calculation from the nth sub-path, K is a total number of impact factors; K and M are positive integers, k is a positive integer less than or equal to K, m is a positive integer less than or equal to M, and M is less than or equal to N.

[0022] Optionally, the impact factor includes at least one of peak-valley analysis, power factor adjustment analysis, load analysis, and energy consumption surge.

[0023] The energy efficiency indicator includes at least one of an energy consumption safety indicator, an energy consumption efficiency indicator, and an energy consumption loss indicator.

[0024] Optionally, the all intermediate devices through which the target energy reaches the nth terminal device include an energy access device, a processing and conversion device, and a conveying and distribution device; and the nth sub-path includes at least one energy access device.

[0025] Optionally, steps before the identifying target energy and a life-cycle path of the target energy in the digital twin system, where the life-cycle path includes N physical devices, include loading and configuring all physical devices that require the energy consumption analysis into the digital twin system, and displaying them in a form of life-cycle path respectively.

[0026] Optionally, steps after the marking the nth terminal device and the nth sub-path to be abnormal in the digital twin system when the energy efficiency indicator of the nth terminal device indicates abnormal energy consumption include:

[0027] sending locations of the nth terminal device and the nth sub-path to a user, and simultaneously sending remote control instructions to all physical devices from the nth sub path.

[0028] In a third aspect, an energy consumption analysis device based on a digital twin system is provided, including:

[0029] a life-cycle path acquisition module configured for identifying target energy and a life-cycle path of the target energy in the digital twin system, where the life-cycle path includes N physical devices;

[0030] a sub-path extraction module configured for extracting an nth sub-path from the lifecycle path, where the nth sub-path includes the nth terminal device and all intermediate devices through which the target energy reaches the nth terminal device;

[0031] an operation data acquisition module configured for acquiring nth operation data of the nth sub-path;

[0032] an energy efficiency indicator calculation module configured for constructing an energy efficiency indicator calculation formula for the nth terminal device according to the nth sub-path, and calculating an energy efficiency indicator of the nth terminal device according to the nth operation data and the energy efficiency indicator calculation formula for the nth terminal device; and

[0033] an energy consumption analysis module configured for marking the nth terminal device and the nth sub-path to be abnormal in the digital twin system when the energy efficiency indicator of the nth terminal device indicates abnormal energy consumption within a preset period, where

[0034] N is a positive integer, and n is a positive integer less than or equal to N.

[0035] In a third aspect, a chip is provided, including a first processor configured for calling and executing a computer program stored in a first memory, so that a device provided with the chip implements various steps of the energy consumption analysis based on the digital twin system according to any one of claims 1-7.

[0036] In a fourth aspect, a terminal is provided, including a second memory, a second processor, and a computer program stored in the second memory and operable on the second processor, where the second processor implements various steps of the above energy consumption analysis method based on a digital twin system when executing the computer program.

[0037] For the above energy consumption analysis method, device, chip and terminal based on a digital twin system, the life-cycle path of the terminal device subject to the energy consumption analysis is the nth sub-path of the nth terminal device, and a variable for the energy efficiency indicator calculation is acquired to obtain the energy efficiency indicator of the terminal device. In an example of the present invention, an energy consumption state of the terminal device is marked according to the energy efficiency indicator, and energy consumption waste points are accurately identified, to promptly solve energy consumption waste problems of an abnormal device, so as to achieve the purpose of energy saving. The digital twin technology is used to visually and intuitively display the energy consumption of a single physical device or an area composed of a plurality of physical devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] To describe the technical solution in the examples of the present invention more clearly, the following briefly introduces accompanying drawings required for describing the examples. Apparently, the accompanying drawings in the following description show merely some examples of the present invention, and persons skilled in the art may still derive other drawings from these accompanying drawings without creative efforts.

[0039] FIG. 1 is a schematic diagram of a basic process of energy consumption analysis based on a digital twin system according to an example of the present invention.

[0040] FIG. 2 is a schematic diagram of a basic process of energy consumption analysis based on a digital twin system according to an example of the present invention.

[0041] FIG. 3 is a block diagram of a basic structure of an energy consumption analysis device based on a digital twin system according to an example of the present invention.

[0042] FIG. 4 is a block diagram of a basic structure of a terminal provided in an example of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the technical solutions in the examples of the present invention will be clearly and completely described below with reference to the accompanying drawings in the examples of the present invention.

[0044] Some processes described in the specification, claims and above drawings of the present invention contain a plurality of operations that appear in a specific order, but it should be clearly understood that these operations may not be executed in the order in which they appear herein or executed in parallel. Sequence numbers of the operations, such as 101, 102 and so on, are only used to distinguish different operations. The sequence numbers themselves do not represent any execution order. Moreover, these processes may include more or fewer operations, and the operations may be executed sequentially or in parallel. It should be noted that the terms and descriptions such as "first" and "second" mentioned herein are used to distinguish different messages, devices, modules and the like, and are not intended to imply any sequential order or limit “first” and “second” as different types.

[0045] The technical solutions in the examples of the present invention will be clearly and completely described below with reference to the accompanying drawings in the examples of the present invention. Obviously, the described examples are merely some examples rather than all examples of the present invention. Based on the described examples of the present invention, all other examples acquired by those skilled in the art without making creative efforts fall within the protection scope of the present invention.

[0046] According to examples of the present invention, relevant data can be acquired and processed based on artificial intelligence technology. Artificial intelligence (AI) is a theory, method, technology and application system that, through a digital computer or a digital computer-controlled machine, can simulate, extend and expand human intelligence, perceive an environment, acquire knowledge and use knowledge to obtain optimal results.

[0047] Foundational technologies of AI generally include technologies of sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interacting systems, mechatronics, and the like. Software technologies of AI mainly include technologies of computer vision, robotics, biometrics, voice processing, natural language processing, machine leaming / deep learning and the like.

[0048] Please refer to FIG. 1 for details, where FIG. 1 is a schematic diagram of a basic process of an energy consumption analysis method based on a digital twin system according to an example of the present invention.

[0049] As illustrated in FIG. 1, an energy consumption analysis method based on a digital twin system includes the following steps:

[0050] S101, identifying target energy and a life-cycle path of the target energy in the digital twin system, where the life-cycle path includes N physical devices.

[0051] According to an example of the present invention, before the above S101, all physical devices that require the energy consumption analysis are loaded and configured into the digital twin system, and displayed in a form of life-cycle path respectively, so as to visually represent actual scenes of energy consumption through the digital twin system, such as factories, office buildings, construction sites, etc.

[0052] For example, when the target energy is solar energy, the life-cycle path includes all physical devices that use the solar energy; when the target energy is electric energy, the lifecycle path includes all physical devices that use the electric energy; when the target energy is water, the life-cycle path includes all physical devices that use the water; and the above lifecycle paths together constitute the digital twin system according to an example of the present invention.

[0053] In an example, the loading and configuring all physical devices into the digital twin system includes: identifying the corresponding N physical devices on the full life-cycle path of energy consumption, collecting operation data of the N physical devices in real time, and storing the data in a database; and using digital twin technology to establish a virtual space, binding the corresponding physical devices on the above full life-cycle path to action areas, and mapping objects in a real environment to a virtual space. Moreover, in the digital twin system, a multi-dimensional data model of the N physical devices is further established, static descriptions of object identity details, such as device identifiers, device descriptions, function definitions and the like, are used to describe details and states of the physical devices in operation, and instructions or methods that can be called externally are provided.

[0054] It should be noted that the physical devices include terminal devices and intermediate devices, and according to an example of the present invention, the energy consumption analysis in the following steps S102-S105 is illustrated based on any terminal device.

[0055] S102, extracting an nth sub-path from the life-cycle path, where the nth sub-path includes the nth terminal device and all intermediate devices through which the target energy reaches the nth terminal device.

[0056] According to an example of the present invention, the physical devices through which the target energy reaches the nth terminal device are usually not terminal devices, and the nth terminal device is a terminal device, such as an air conditioner, a display, a lamp and the like. The intermediate devices through which the target energy reaches the nth terminal device are usually energy access devices, processing and conversion devices, conveying and distribution devices, and the like.

[0057] In the above S102, the intermediate devices through which the target energy reaches the nth terminal device include any number of the energy access devices, the processing and conversion devices, and the conveying and distribution devices, but include at least one of the energy access devices.

[0058] SI 03, acquiring nth operation data of the nth sub-path.

[0059] In the above S103, the nth operation data of the nth sub-path includes the operation data of the nth terminal device, and the operation data of the intermediate devices through which the target energy reaches the nth terminal device; and it can be understood that based on the pre-configured and loaded digital twin system, the operation data of any physical device can be directly acquired according to an example of the present invention.

[0060] SI04, constructing an energy efficiency indicator calculation formula for the nth terminal device according to the nth sub-path, and calculating an energy efficiency indicator of the nth terminal device according to the nth operation data and the energy efficiency indicator calculation formula for the nth terminal device.

[0061] It should be noted that the nth sub-path usually includes an energy access device and a terminal device, or an energy access device, a processing and conversion device and a terminal device. Therefore, according to an example of the present invention, the energy efficiency indicator of the nth terminal device actually represents a regional energy efficiency indicator.

[0062] According to the SI04, calculation composition of the energy efficiency indicator according to an example of the present invention is associated with the operation data and the intermediate devices included in the nth sub-path, where the operation data directly affects a value of the energy efficiency indicator; the intermediate devices included in the nth sub-path affect the composition of the energy efficiency indicator, i.e., when the nth sub-path includes an energy access device, a processing and conversion device and a conveying and distribution device, the energy efficiency indicator is not only specific to the nth terminal device, but also is affected by the above energy access device, the processing and conversion device and the conveying and distribution device, and when any of the physical devices such as the processing and conversion device fails, the energy efficiency indicator of the nth terminal device is directly shown to be abnormal.

[0063] S105, marking the nth terminal device and the nth sub-path to be abnormal in the digital twin system when the energy efficiency indicator of the nth terminal device indicates abnormal energy consumption within a preset period, where N is a positive integer, and n is a positive integer less than or equal to N.

[0064] It should be noted that the energy efficiency indicator of the terminal device calculated within the preset period is calculated according to the operation data acquired within the preset period. For example, the energy efficiency indicator of the nth terminal device is calculated according to the operation data of the nth sub-path within the preset period.

[0065] A total score of the energy efficiency indicator is usually set as 100, and scores of the energy efficiency indicator are divided into 4 levels: excellent: 90 and above (excellent), 80 and above (good), 60 and above (general), and less than 60 (poor).

[0066] In an example, steps after the marking the nth terminal device and the nth sub-path to be abnormal in the digital twin system when the energy efficiency indicator of the nth terminal device indicates abnormal energy consumption include:

[0067] sending locations of the nth terminal device and the nth sub-path to a user, and simultaneously sending remote control instructions to all physical devices from the nth subpath.

[0068] In an example of the present invention, the life-cycle path of the terminal device subject to the energy consumption analysis is the nth sub-path of the nth terminal device, and a variable for the energy efficiency indicator calculation is acquired to obtain the energy efficiency indicator of the terminal device. In an example of the present invention, an energy consumption state of the terminal device is marked according to the energy efficiency indicator, and energy consumption waste points are accurately identified, to promptly solve energy consumption waste problems of an abnormal device, so as to achieve the purpose of energy saving. The digital twin technology is used to visually and intuitively display the energy consumption of a single physical device or an area composed of a plurality of physical devices.

[0069] According to an example of the present invention, construction of the energy efficiency indicator calculation formula for the nth terminal device in the above S104 is further described in detail. First, all the intermediate devices from the nth sub-path may affect the energy efficiency indicator of the nth terminal device, or may not affect the energy efficiency indicator of the nth terminal device, and may have a positive impact or a negative impact. For a same impact type, a degree of impact caused by each of the intermediate devices is also different. Therefore, according to an example of the present invention, a possible impact of a physical device is represented by an impact factor, and a set of impact factors is established. For the energy efficiency indicator calculation, an impact factor that causes the positive impact is represented by a positive value, and an impact factor that causes the negative impact is represented by a negative value. Moreover, weight division is based on the degree of impact. When any impact factor does not affect the energy efficiency indicator of the nth terminal device, this impact factor will not be involved in the calculation. It can be understood that the nth terminal device is also in the nth sub-path, which will definitely affect its own energy efficiency indicator.

[0070] On this basis, in the above SI04 as illustrated in FIG. 2, the constructing an energy efficiency indicator calculation formula for the nth terminal device according to the nth subpath includes the following substeps:

[0071] SI041, obtaining an impact factor corresponding to each of the N physical devices and storing it in an impact factor set;

[0072] SI042, retrieving a physical device involved in energy efficiency indicator calculation from the nth sub-path according to a category of the energy efficiency indicator, and invoking an impact factor associated with the calculation from the impact factor set according to the physical device involved in the energy efficiency indicator calculation; and

[0073] SI043, constructing the energy efficiency indicator calculation formula for the nth terminal device according to the impact factor associated with the calculation.

[0074] Any physical device involved in the energy efficiency indicator calculation from the nth sub-path corresponds to one or more impact factors.

[0075] It should be noted that in the nth sub-path, some intermediate devices may be used as backup devices and therefore do not work, and also serve as physical devices not involved in the energy efficiency indicator calculation.

[0076] In an example, the energy efficiency indicator calculation formula includes:

[0077] storing the impact factor associated with the calculation in a set to be calculated, where the set to be calculated includes a first impact factor, a second impact factor,..., and a Kth impact factor;

[0078] setting a weight of the impact factor associated with the calculation, where the weight includes a first weight based on the physical device and a second weight based on an impact type;

[0079] the constructing the energy efficiency indicator calculation formula for the nth terminal device is detailed as follows:

[0080] the energy efficiency indicator of the nth terminal device = Al*(all first impact factor + al2 first impact factor + ... + alm first impact factor + ... + a IM first impact factor) + A2*(a21 second impact factor + a22 second impact factor +...+ a2m second impact factor + ...+ a2M second impact factor) +...+ Ak*(akl kth impact factor + ak2 kth impact factor + ...+ akm kth impact factor +...+ akM kth impact factor) +...+ AK*(aKl Kth impact factor + aK2 Kth impact factor +...+ aKm Kth impact factor +...+ aKM Kth impact factor); and [0081 ] where AK represents the second weight based on an impact type, akm represents the first weight of the kth impact factor based on the physical device; Al+A2+...+Ak+...+AK=l, akl+ak2+... +akm+...+akM=l, where m represents the physical device involved in the energy efficiency indicator calculation from the nth sub-path, k represents the impact factor corresponding to the mth physical device involved in the energy efficiency indicator calculation from the nth sub-path, M represents a total number of physical devices involved in the energy efficiency indicator calculation from the nth sub-path, K is a total number of impact factors; K and M are positive integers, k is a positive integer less than or equal to K, m is a positive integer less than or equal to M, and M is less than or equal to N.

[0082] In an example, the impact factor includes at least one of peak-valley analysis, power factor adjustment analysis, load analysis, and energy consumption surge.

[0083] It should be noted that a value of the impact factor is calculated based on the operation data of the nth terminal device within the preset period.

[0084] The energy efficiency indicator includes at least one of an energy consumption safety indicator, an energy consumption efficiency indicator, and an energy consumption loss indicator.

[0085] For example, a value of the peak-valley analysis indicates an energy consumption period of the device, a value of the power factor adjustment analysis indicates an energy consumption efficiency, a value of the load analysis indicates an overloading situation, and a value of the energy consumption surge indicates a sudden increase of energy consumption.

[0086] In an example, the energy consumption safety indicator corresponds to a plurality of impact factors, such as the peak-valley analysis, the load analysis, and the energy consumption surge; the energy consumption efficiency indicator corresponds to a plurality of impact factors, such as the peak-valley analysis, the power factor adjustment analysis, and the load analysis; and the energy consumption loss indicator corresponds to a plurality of impact factors, such as the peak-valley analysis, the power factor adjustment analysis, the load analysis, and the energy consumption surge.

[0087] It should be noted that for the same impact type, the degree of impact caused by each of the intermediate devices is also different. For the impact factors provided in an example of the present invention, the peak-valley analysis represents the energy consumption period of the device, and a terminal device of an emergency device or an intermediate device of a transformer, will almost never stop running. For calculation of the energy consumption loss indicator, weights of the peak-valley analysis for the two types of devices need to be very low. Therefore, after determining of the energy efficiency indicator, for any impact factor, a weight of each physical device (including the terminal device and the intermediate device) is set according to the degree of impact of the physical device, where the degree of impact can be optimized in a network model according to historical energy consumption data and the energy efficiency indicator, and is obtained through the optimized network model.

[0088] Taking practical application as an example, the energy efficiency indicator of a terminal device -a No. 1 air conditioner, is calculated, including the energy consumption safety indicator, the energy consumption efficiency indicator, and the energy consumption loss indicator. When the energy consumption safety indicator is calculated, the physical devices involved in the energy efficiency indicator calculation are the No. 1 air conditioner and a No. 1 three-hole socket as the energy access device. When the energy consumption safety indicator is calculated, the impact factors include the peak-valley analysis, the power factor adjustment analysis, the load analysis, and the energy consumption surge. After setting of the second weight and the first weight, the energy consumption safety indicator of the No. 1 air conditioner = Al*(all peak-valley analysis + al2 peak-valley analysis) + A2*(a21 power factor adjustment analysis + a22 power factor adjustment analysis) + A3* (a31 load analysis + a32 load analysis) + A4* (a41 energy consumption surge + a42 energy consumption surge), where scores of the peak-valley analysis, the power factor adjustment analysis, the load analysis and the energy consumption surge are calculated according to the operation data of the No. 1 air conditioner and the No. 1 three-hole socket during the preset period. For example, the al 1 peak-valley analysis includes a physical device-based weight al 1 occupied by the No. 1 air conditioner in the impact factor of the peak-valley analysis, and a score of the peak-valley analysis obtained according to the operation data of the No. 1 air conditioner; the al2 peak Valley analysis includes a physical device-based weight al2 occupied by the No. 1 three-hole socket in the impact factor of the peak-valley analysis, and a score of the peak-valley analysis obtained according to the operation data of the No. 1 three-hole socket; the a21 power factor adjustment analysis includes a physical device-based weight a21 occupied by the No. 1 air conditioner in the impact factor of the power factor adjustment analysis, and a score of the power factor adjustment analysis obtained according to the operation data of the No. 1 air conditioner; and the a22 power factor adjustment analysis includes 1 a physical device-based weight a22 occupied by the No. 1 three-hole socket in the impact factor of the power factor adjustment analysis, and a score of the power factor adjustment analysis obtained according to the operation data of the No. 1 three-hole socket.

[0089] Illustratively, according to an example of the present invention, a decision is given according to a score of the impact factor in the energy efficiency indicator, and accordingly the remote control instructions are sent to all the physical devices from the nth sub-path after the nth terminal device and the nth sub-path are marked to be abnormal in the digital twin system according to the above SI 05. For instance, when a score of the peak-valley analysis is too low, it indicates that the energy consumption period of the terminal device is too long and the energy consumption is unreasonable, and in this case, a notification of reasonable energy consumption and a control instruction to turn off the device at scheduled times will be sent. When a score of the power factor adjustment analysis is too low, it indicates that an enterprise fails in power factor assessment for the current month, a load utilization rate is low, and the loss is high. In this case, a capacity reduction suggestion is sent. When a score of the load analysis is too low, it indicates that the value of the load is too high and a transformer of an energy-consuming unit is in an overload state. In this case, a line detection instruction is sent to check heating of the line, and capacity expansion is recommended in case of overloading. When a score of the energy consumption surge is too low, it indicates that a relatively significant energy consumption surge is detected, and in this case, an instruction to view an analysis of the energy consumption surge is sent to avoid energy consumption losses caused by improper energy consumption.

[0090] According to the above steps, an energy efficiency indicator analysis method provided in an example of the present invention, compared with a traditional method of using a large amount of real-time data to display energy consumption states of each device, enables to lock the intermediate devices according to the nth sub-path so as to quickly and accurately identify energy consumption waste points when the energy efficiency indicator of the nth terminal device indicates abnormal energy consumption, although the energy consumption state of each of the intermediate devices is not displayed separately. Therefore, the energy efficiency indicator analysis method provided in an example of the present invention fully takes into account an impact of non-terminal devices (such as the energy access devices, the processing and conversion devices, the conveying and distribution devices and other intermediate devices) in the life-cycle path on the terminal devices, such that the energy efficiency indicator of the nth terminal can accurately describe the energy consumption state, and the energy consumption waste points are quickly and accurately identified based on the nth sub-path, thereby improving energy consumption data accuracy and analysis efficiency.

[0091] In order to solve the above technical problems, an energy consumption analysis device based on a digital twin system is further provided in an example of the present invention. Please refer to FIG. 3 for details, where FIG. 3 is a block diagram of a basic structure of an energy consumption analysis device based on a digital twin system according to an example of the present invention. The energy consumption analysis device includes:

[0092] a life-cycle path acquisition module 31 configured for identifying target energy and a life-cycle path of the target energy in the digital twin system, where the life-cycle path includes N physical devices;

[0093] a sub-path extraction module 32 configured for extracting an nth sub-path from the life-cycle path, where the nth sub-path includes the nth terminal device and all intermediate devices through which the target energy reaches the nth terminal device;

[0094] an operation data acquisition module 33 configured for acquiring nth operation data of the nth sub-path;

[0095] an energy efficiency indicator calculation module 34 configured for constructing an energy efficiency indicator calculation formula for the nth terminal device according to the nth sub-path, and calculating an energy efficiency indicator of the nth terminal device according to the nth operation data and the energy efficiency indicator calculation formula for the nth terminal device; and

[0096] an energy consumption analysis module 35 configured for marking the nth terminal device and the nth sub-path to be abnormal in the digital twin system when the energy efficiency indicator of the nth terminal device indicates abnormal energy consumption within a preset period, where

[0097] N is a positive integer, and n is a positive integer less than or equal to N.

[0098] In order to solve the above technical problems, a chip is further provided in an example of the present invention, and the chip can be a general-purpose processor or a dedicated processor. The chip includes a processor, and the processor is configured for supporting a terminal to execute relevant steps, such as calling and executing a computer program stored in a memory to execute a device equipped with the chip, so as to implement the energy consumption analysis method based on a digital twin system according to the above examples.

[0099] Optionally, in some examples, the chip further includes a transceiver, the transceiver is configured for accepting control by the processor and supporting the terminal to execute the above relevant steps, to implement the energy consumption analysis method based on a digital twin system according to the above examples.

[00100] Optionally, the chip may further include a storage medium.

[00101] It should be noted that the chip can be implemented by means of the following circuits or devices: one or more field programmable gate arrays (FPGA), programmable logic devices (PLD), controllers, state machines, logic gates, discrete hardware components, any other suitable circuits, or any combination of circuits capable of executing various functions described throughout the present invention.

[00102] In the present invention, a terminal is further provided, including a memory, a processor, and a computer program stored in the memory and operable on the processor, where the processor implements steps of the energy consumption analysis method based on a digital twin system according to any one of claims 1-7 when executing the computer program.

[00103] Please refer to FIG. 4 for details, where FIG. 4 is a block diagram of a basic structure of a terminal illustrated. The terminal includes a processor, a non-volatile storage medium, a memory and a network interface that are connected through a system bus. The non-volatile storage medium of the terminal stores an operating system, a database and computer-readable instructions, where a sequence of control information is stored in the database, and when the computer-readable instructions are executed by the processor, the processor implements the energy consumption analysis method based on a digital twin system. The processor of the terminal is configured for providing computing and control capabilities to support operation of the entire terminal. The computer-readable instructions may be stored in the memory of the terminal, and when the computer-readable instructions are executed by the processor, the processor implements the energy consumption analysis method based on a digital twin system. The network interface of the terminal is configured for connecting and communicating with the terminal. Those skilled in the art can understand that the structure shown in the figure is only a block diagram of a partial structure related to the technical solution of the present invention, and does not constitute a limitation to the terminal to which the solution of the present invention is applied. The specific terminal may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[00104] A person skilled in the art would understood that the "terminal" and "terminal device" used here not only include a device with a wireless signal receiver, namely a device which is only provided with a wireless signal receiver without transmitting capability, but also include a device with receiving and transmitting hardware, namely an electronic device which is provided with receiving and transmitting hardware capable of performing bidirectional communication on a bidirectional communication link. The electronic device may include: a cellular or any other communication device, namely a cellular or any other communication device with a single-line display or a multi-line display or without a multi-line display; a personal communication system (PCS) which may combine voice and data processing, facsimileing and / or data communication capabilities; a personal digital assistant (PDA) which may comprise a radio frequency receiver, a pager, Internet / Intranet access, a network browser, a notepad, a calendar and / or a global positioning system (GPS) receiver; and / or a conventional laptop and / or palmtop computer or other device, namely a conventional laptop and / or palmtop computer or other device which includes a radio frequency receiver. The "terminal" and the "terminal device” used here may be portable, transportable or installed in a vehicle (for aviation, shipping and / or land), or suitable for and / or configured to be running locally and / or running at any other positions of the Earth and / or space in a distributed manner. The "terminal" and the "terminal device” used here also may be a communication terminal, an network access terminal or a music / video playing terminal, such as a PDA, an MID (mobile Internet device) and / or a mobile phone with a music / video playing function, and also may be any other device such as a smart television and a set top box.

[00105] In the present invention, a storage medium storing computer-readable instructions is further provided, and when the computer-readable instructions are executed by one or more processors, the one or more processors executes the steps of the energy consumption analysis method based on a digital twin system according to any one of the above examples.

[00106] In this example, a computer program is further provided, and the computer program can be distributed on a computer-readable medium and executed by a computable device to implement at least one step of the energy consumption analysis method based on a digital twin system introduced above; and in some cases, at least one step shown or described may be implemented in an order different from that described in the above example.

[00107] In this example, a computer program product is further provided, including a computer-readable device, and the computer program as illustrated above is stored on the computer-readable device. In this example, the computer-readable device may include the above computer-readable storage medium.

[00108] Those of ordinary skill in the art may understand that all or some procedures in the methods implementing the above examples may be completed by a computer program instructing related hardware. The computer program may be stored in one computer-readable storage medium, and the program may include the procedures of examples of each method above when executed. The above storage medium can be a non-volatile storage medium such as a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[00109] It should be understood that although the steps in flowcharts of the accompanying drawings are sequentially displayed according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order in the execution of these steps, and these steps may be performed in other orders. Moreover, at least part of the steps in the flowcharts of the accompanying drawings may include a plurality of sub-steps or a plurality of stages. These sub-steps or stages are not necessarily executed and completed at the same time, but may be executed at different times. The sub-steps or the stages are also not necessarily sequentially performed, but may be performed alternately or alternately with other steps or at least a part of sub-steps or stages of other steps.

[00110] The technical features of the above examples can be combined arbitrarily. For the sake of brevity, all possible combinations of the technical features in the above examples are not described. However, as long as the combinations of these technical features are not contradicted, it should be regarded as the scope of the description in this specification.

[00111] The examples mentioned above are merely several embodiments of the present invention, and are specifically described in details, but may not be interpreted as limiting the scope of the patent for the present invention as a result. It should be noted that for those of ordinary skill in the art, they may also make several transformations and improvements on the premise of not deviating from the conception of the present invention, and these transformations and improvements shall fall within the scope of protection of the present invention. The scope of protection of the present patent for invention shall be governed by the appended claims. 30 01 26

Claims

1. An energy consumption analysis method based on a digital twin system, characterized by comprising the following steps:identifying target energy and a life-cycle path of the target energy in the digital twin system, wherein the life-cycle path comprises N physical devices;extracting an nth sub-path from the life-cycle path, wherein the nth sub-path comprises the nth terminal device and all intermediate devices through which the target energy reaches the nth terminal device, and the N physical devices comprise intermediate devices and terminal devices;acquiring nth operation data of the nth sub-path;constructing an energy efficiency indicator calculation formula for the nth terminal device according to the nth sub-path, and calculating an energy efficiency indicator of the nth terminal device according to the nth operation data and the energy efficiency indicator calculation formula for the nth terminal device, wherein the energy efficiency indicator is calculated based on at least one of: peak-valley analysis, power factor adjustment analysis, load analysis, or energy consumption surge; andmarking the nth terminal device and the nth sub-path to be abnormal in the digital twin system when the energy efficiency indicator of the nth terminal device indicates abnormal energy consumption within a preset period, whereinN is a positive integer, and n is a positive integer less than or equal to N; and whereinthe abnormal energy consumption is determined by at least one of:(a) a peak-valley analysis score below a predetermined first safety threshold;(b) a power factor adjustment analysis score below a predetermined second efficiency threshold;(c) a load analysis score below a predetermined third overload score threshold; or(d) an energy consumption surge score below a predetermined fourth surge score threshold.

2. The energy consumption analysis method based on a digital twin system according to claim 1, characterized in that the constructing an energy efficiency indicator calculation formula for the nth terminal device according to the nth sub-path comprises the following substeps:obtaining an impact factor corresponding to each of the N physical devices and30 01 26storing it in an impact factor set;retrieving a physical device involved in energy efficiency indicator calculation from the nth sub-path according to a category of the energy efficiency indicator, and invoking an impact factor associated with the calculation from the impact factor set according to the physical device involved in the energy efficiency indicator calculation; andconstructing the energy efficiency indicator calculation formula for the nth terminal device according to the impact factor associated with the calculation, wherein any physical device involved in the energy efficiency indicator calculation from the nth subpath corresponds to one or more impact factors.

3. The energy consumption analysis method based on a digital twin system according to claim 2, characterized in that the constructing the energy efficiency indicator calculation formula for the nth terminal device according to the impact factor associated with the calculation comprises the following substeps:storing the impact factor associated with the calculation in a set to be calculated, wherein the set to be calculated comprises a first impact factor, a second impact factor, ..., and a Kth impact factor;setting a weight of the impact factor associated with the calculation, wherein the weight comprises a first weight based on the physical device and a second weight based on an impact type;the constructing the energy efficiency indicator calculation formula for the nth terminal device is detailed as follows:the energy efficiency indicator of the nth terminal device = Al*(all first impact factor + al2 first impact factor + ... + alm first impact factor + ... + alM first impact factor) + A2*(a21 second impact factor + a22 second impact factor +...+ a2m second impact factor +...+ a2M second impact factor) +...+ Ak*(akl kth impact factor + ak2 kth impact factor +...+ akm kth impact factor +...+ akM kth impact factor) +...+ AK*(aKl Kth impact factor + aK2 Kth impact factor +...+ aKm Kth impact factor + ... + aKM Kth impact factor); andwherein AK represents the second weight based on an impact type, akm represents the first weight of the kth impact factor based on the physical device; Al+A2+...+Ak+...+AK=l, akl+ak2+... +akm+...+akM=l, wherein m represents the physical device involved in the energy efficiency indicator calculation from the nth subpath, k represents the impact factor corresponding to the mth physical device involved30 01 26in the energy efficiency indicator calculation from the nth sub-path, M represents a total number of physical devices involved in the energy efficiency indicator calculation from the nth sub-path, K is a total number of impact factors; K and M are positive integers, k is a positive integer less than or equal to K, m is a positive integer less than or equal to M, and M is less than or equal to N.

4. The energy consumption analysis method based on a digital twin system according to claim 2, characterized in that the impact factor comprises at least one of peak-valley analysis, power factor adjustment analysis, load analysis, and energy consumption surge;The energy efficiency indicator comprises at least one of an energy consumption safety indicator, an energy consumption efficiency indicator, and an energy consumption loss indicator.

5. The energy consumption analysis method based on a digital twin system according to claim 1, characterized in that the all intermediate devices through which the target energy reaches the nth terminal device comprise an energy access device, a processing and conversion device, and a conveying and distribution device; and the nth sub-path comprises at least one energy access device.

6. The energy consumption analysis method based on a digital twin system according to claim 1, characterized in that steps before the identifying target energy and a life-cycle path of the target energy in the digital twin system comprise loading and configuring all physical devices that require the energy consumption analysis into the digital twin system, and displaying them in a form of life-cycle path respectively.

7. The energy consumption analysis method based on a digital twin system according to claim 1 or 6, characterized in that steps after the marking the nth terminal device and the nth sub-path to be abnormal in the digital twin system when the energy efficiency indicator of the nth terminal device indicates abnormal energy consumption comprise:sending locations of the nth terminal device and the nth sub-path to a user, and simultaneously sending remote control instructions to all physical devices from the nth sub-path.

8. An energy consumption analysis device based on a digital twin system, characterized by comprising:a life-cycle path acquisition module, being configured for identifying target energy and a life-cycle path of the target energy in the digital twin system, wherein the life-30 01 26cycle path comprises N physical devices;a sub-path extraction module, being configured for extracting an nth sub-path from the life-cycle path, wherein the nth sub-path comprises the nth terminal device and all intermediate devices through which the target energy reaches the nth terminal device;an operation data acquisition module, being configured for acquiring nth operation data of the nth sub-path;an energy efficiency indicator calculation module, being configured for constructing an energy efficiency indicator calculation formula for the nth terminal device according to the nth sub-path, and calculating an energy efficiency indicator of the nth terminal device according to the nth operation data and the energy efficiency indicator calculation formula for the nth terminal device, wherein the energy efficiency indicator is calculated based on at least one of peak-valley analysis, power factor adjustment analysis, load analysis, or energy consumption surge; andan energy consumption analysis module configured for marking the nth terminal device and the nth sub-path to be abnormal in the digital twin system when the energy efficiency indicator of the nth terminal device indicates abnormal energy consumption within a preset period, whereinN is a positive integer, and n is a positive integer less than or equal to N; and whereinthe abnormal energy consumption is determined by at least one of(a) a peak-valley analysis score below a predetermined first safety threshold;(b) a power factor adjustment analysis score below a predetermined second efficiency threshold;(c) a load analysis score below a predetermined third overload score threshold; or(d) an energy consumption surge score below a predetermined fourth surge score threshold.

9. A chip, characterized by comprising: a first processor, being configured for calling and executing a computer program stored in a first memory, so that a device provided with the chip implements all steps of the energy consumption analysis based on the digital twin system according to any one of claims 1-7.

10. A terminal, characterized by comprising a second memory, a second processor, and a computer program stored in the second memory and operable on the second processor, wherein the second processor implements all steps of the above energy consumption analysis method based on a digital twin system according to any one ofclaims 1-7 when executing the computer program.30 01 26

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