CN113448249A - Energy-saving diagnosis method and device for energy system, storage medium and electronic equipment - Google Patents
Energy-saving diagnosis method and device for energy system, storage medium and electronic equipment Download PDFInfo
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Abstract
The embodiment of the application discloses an energy-saving diagnosis method and device for an energy system, a storage medium and electronic equipment. The method comprises the following steps: acquiring operation data of at least one device in an energy system; calculating according to the operation data and a preset ideal energy consumption calculation rule to obtain ideal energy consumption of the energy system; and comparing the ideal energy consumption with the predetermined actual energy consumption to determine an energy-saving diagnosis result of the energy system. According to the technical scheme, the real-time energy-saving diagnosis of the actual energy consumption and the ideal energy consumption of various energy systems in various industries can be realized by calculating the ideal energy consumption of the energy system.
Description
Technical Field
The embodiment of the application relates to the technical field of energy conservation, in particular to an energy-saving diagnosis method and device for an energy system, a storage medium and electronic equipment.
Background
With the deep development of energy-saving work in the whole society, the energy management system becomes the standard distribution of information construction of each energy consumption unit. To be effective, it is natural to have diagnostic capabilities for the energy management system being managed.
The traditional approach is a benchmarking diagnostic method, i.e. whether the energy system is energy efficient is considered by checking whether the actual energy consumption or energy efficiency meets the requirements of relevant standard specified values.
The diagnosis is carried out by adopting a targeting method, namely the actual energy consumption of various energy systems is compared with various relevant standards, and whether the energy is saved is judged by meeting the non-compliance standard. But in practice there may be a large energy saving space even if the actual energy consumption of the energy system is below the standard value. In addition, the standard value of all kinds of energy systems cannot be given by the standard, so that the standard diagnosis method cannot diagnose all energy systems.
Disclosure of Invention
The embodiment of the application provides an energy-saving diagnosis method and device for an energy system, a storage medium and electronic equipment, and the real-time energy-saving diagnosis of the actual energy consumption and the ideal energy consumption of various energy systems in various industries can be realized by calculating the ideal energy consumption of the energy system.
In a first aspect, an embodiment of the present application provides an energy saving diagnostic method for an energy system, where the method includes:
acquiring operation data of at least one device in an energy system;
calculating according to the operation data and a preset ideal energy consumption calculation rule to obtain ideal energy consumption of the energy system;
and comparing the ideal energy consumption with the predetermined actual energy consumption to determine an energy-saving diagnosis result of the energy system.
In a second aspect, an embodiment of the present application provides an energy saving diagnostic apparatus for an energy system, where the apparatus includes:
the operation data acquisition module is used for acquiring operation data of at least one device in the energy system;
the ideal energy consumption calculation module is used for calculating the ideal energy consumption of the energy system according to the operation data and a preset ideal energy consumption calculation rule;
and the energy-saving diagnosis result determining module is used for comparing the ideal energy consumption with the actual energy consumption determined in advance and determining the energy-saving diagnosis result of the energy system.
In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the energy saving diagnostic method according to the present application.
In a fourth aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable by the processor, where the processor executes the computer program to implement the energy-saving diagnostic method for an energy system according to an embodiment of the present application.
According to the technical scheme provided by the embodiment of the application, the operation data of at least one device in the energy system is acquired; calculating according to the operation data and a preset ideal energy consumption calculation rule to obtain ideal energy consumption of the energy system; and comparing the ideal energy consumption with the predetermined actual energy consumption to determine the energy-saving diagnosis result of the energy system. According to the technical scheme, the real-time energy-saving diagnosis of the actual energy consumption and the ideal energy consumption of various energy systems in various industries can be realized by calculating the ideal energy consumption of the energy system.
Drawings
Fig. 1 is a flowchart of an energy saving diagnosis method for an energy system according to an embodiment of the present application;
FIG. 2 is a flowchart of an energy system online energy saving diagnosis method for comparing actual energy consumption with ideal energy consumption in real time according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an energy saving diagnostic apparatus of an energy system according to a second embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some of the structures related to the present application are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example one
Fig. 1 is a flowchart of an energy-saving diagnosis method for an energy system according to an embodiment of the present application, where this embodiment is applicable to a situation of performing energy-saving diagnosis on various energy systems in real time, and the method may be executed by an energy-saving diagnosis apparatus for an energy system according to an embodiment of the present application, where the apparatus may be implemented by software and/or hardware, and may be integrated in an intelligent terminal for energy-saving diagnosis and the like.
As shown in fig. 1, the energy-saving diagnosis method for an energy system includes:
s110, acquiring operation data of at least one device in an energy system;
in the scheme, the energy-saving diagnosis can be used for calculating the ideal energy consumption of the energy system, comparing the ideal energy consumption with the actual energy consumption, and finding out the reason causing the difference between the ideal energy consumption and the actual energy consumption to guide the operation and adjustment of the energy system so as to achieve the aim of saving energy. Energy-saving diagnosis of the energy system can be realized through the energy management system.
In this embodiment, the energy system may refer to all systems, including a building energy consumption system, an air conditioner energy consumption system, a vehicle energy consumption system, and the like. The energy system may be constituted by at least one device. For example, if the energy system is an air conditioning energy consumption system, and the device may be a chiller, a chilled water pump, or the like, the air conditioning energy consumption system may be a system composed of a chiller and a chilled water pump. Wherein the device is formed by at least one operating parameter. For example, assuming that the equipment is a chiller, the operation parameters may be parameters such as an operation frequency, a supply water temperature, a chilled water valve opening, and a cooling water valve opening.
The operation data may refer to energy consumption data of operation of each device, and is composed of operating power of the operation parameters. Including temperature data, pressure data, flow rate data, etc., and various physical quantity data calculated from these basic parameters. Operational data of equipment in the energy system may be collected based on the control system.
S120, calculating according to the operation data and a preset ideal energy consumption calculation rule to obtain ideal energy consumption of the energy system;
the ideal energy consumption refers to the lowest energy consumption value realized by the system on the premise of meeting the use requirement without any hardware modification but only by adjusting the operation parameters.
In this embodiment, each energy system has a calculation rule, and the calculation rule not only needs to satisfy basic physical principles, but also needs to conform to engineering experience. And the different energy systems combine the calculation rules of the devices together in different modes to form the ideal energy consumption calculation rule of the system.
In the scheme, the operation data can be adjusted based on the ideal energy consumption calculation rule, and the ideal energy consumption of the energy system is calculated. For example, if the energy system is an air conditioning energy system and the devices are cooling towers, cooling pumps and refrigerators, the number of cooling towers, cooling pumps and refrigerators can be adjusted to achieve the lowest energy consumption value on the premise of meeting the use requirements.
In this technical solution, optionally, calculating the ideal energy consumption of the energy system according to the preset ideal energy consumption calculation rule according to the operation data includes:
determining a coaction function and a feature function according to the operating data; wherein, the coaction function is a function formed by factors influencing the energy consumption of all equipment in the energy system; the characteristic function is a function formed by factors influencing the energy consumption of single equipment in the energy system;
and calculating according to a preset ideal energy consumption calculation rule by utilizing the combined action function and the characteristic function to obtain the ideal energy consumption of the energy system.
Wherein, the co-acting factor can be a factor influencing the energy consumption of various energy-using devices. For example, the co-acting factor may be represented by x1,x2,…,xcAnd c represents the number of co-acting factors. The number of the co-acting factors is different according to different types of energy systems. The co-acting function may refer to the energy consumption of various kinds of energy consuming devices in the energy system. For example, the coaction function can be described as:
the device 1: e.g. of the type1＝f1(x1,x2,…,xc)；
The device 2: e.g. of the type2＝f2(x1，x2，…，xc)；
…；
And a device n: e.g. of the typen＝fn(x1,x2,…,xc)。
Where n is the number of types of equipment in the energy system.
In the scheme, the characteristic functions of the energy system and the historical monitoring data of each device in the energy system are constructed, and the characteristic functions enable the energy system to be different from other energy systems of the same type and enable each device in the energy system to be different from other devices of the same type. Or they may be understood as a function that expresses the actual performance of the energy system or device. For example, assume m is the number of functions that characterize the system; n1, n2, …, nn respectively represent the number of functions describing the actual performance of the various kinds of energy-consuming devices, the characteristic function can be described as:
the system comprises the following steps: phi is a1＝0；…；φm＝0；
The device 1: omega11＝0；…；
The device 2: omega21＝0；…；
…；
And a device n: omegan1＝0；…；
In this embodiment, the characteristic function may be adjusted according to the ideal energy consumption calculation rule, and the optimal common function may be calculated to obtain the ideal energy consumption of the energy system.
By calculating the ideal energy consumption of the energy system, the real-time energy-saving diagnosis of the actual energy consumption and the ideal energy consumption of various energy systems in various industries can be realized.
In this technical solution, optionally, the calculating, by using the coaction function and the characteristic function, according to a preset ideal energy consumption calculation rule, to obtain the ideal energy consumption of the energy system includes:
determining a target function according to the coaction function;
and taking the characteristic function as a constraint condition, and optimally calculating the target function based on a preset optimal calculation model to obtain the ideal energy consumption of the energy system.
Wherein the co-acting functions may be added to determine the objective function. For example, the objective function can be expressed as: e ═ e1+e2+…+en. And obtaining part of parameters in the objective function by the characteristic function, optimizing and adjusting the characteristic function according to the optimized calculation model to optimize the objective function, and calculating to obtain the ideal energy consumption of the energy system.
By calculating the ideal energy consumption of the energy system, the real-time energy-saving diagnosis of the actual energy consumption and the ideal energy consumption of various energy systems in various industries can be realized.
In this technical solution, optionally, the characteristic function includes an energy system characteristic function and an equipment characteristic function.
It is understood that each energy system and device has certain characteristics, and the characteristic description mode of each system or device is different; the same system or device is described in the same way, but with different values for the specific parameters. The energy system characteristic function can refer to a function corresponding to the energy system; the device characteristic function may refer to a function corresponding to each device in the energy system. The equipment characteristic functions can be combined according to different rules to obtain the energy system characteristic functions.
By adjusting the characteristic function, the optimal ideal energy consumption can be obtained, and the real-time energy-saving diagnosis of the actual energy consumption and the ideal energy consumption of various energy systems in various industries is realized.
And S130, comparing the ideal energy consumption with the actual energy consumption determined in advance, and determining an energy-saving diagnosis result of the energy system.
The actual energy consumption may refer to energy consumption generated by the energy system during operation. The actual energy consumption of the energy system may be collected based on the control system.
In this embodiment, the energy saving diagnosis result may refer to a deviation degree between the actual energy consumption and the ideal energy consumption. For example, if the calculated ideal energy consumption is a and the actual energy consumption is b, the energy saving diagnosis result may be the difference between a and b. And according to the energy-saving diagnosis result, corresponding guidance related operation can be given. For example, assuming that the energy system is an air-conditioning energy consumption system, the guidance suggestion may be that the water supply temperature of the central air-conditioning cooling system is preferably 2 ℃ high, the number of the chilled water pumps is preferably increased by one, and the number of the cooling towers is reduced by one.
In this technical solution, optionally, comparing the ideal energy consumption with the predetermined actual energy consumption includes:
and displaying the ideal energy consumption and the actual energy consumption on a platform in real time so as to be used for comparing the ideal energy consumption with the predetermined actual energy consumption in real time.
In the scheme, after the ideal energy consumption and the actual energy consumption are obtained, the ideal energy consumption and the actual energy consumption are respectively displayed on the platform in real time. For example, the magnitude of the ideal energy consumption at the current moment, the magnitude of the device and the operation parameter constituting the ideal energy consumption, and the magnitude of the actual energy consumption, and the device and the operation parameter constituting the actual energy consumption may be displayed. For the staff to look over.
The ideal energy consumption and the actual energy consumption are displayed on the platform in real time, so that the checking by workers can be facilitated.
In this technical solution, optionally, after comparing the ideal energy consumption with a predetermined actual energy consumption and determining an energy-saving diagnosis result of the energy system, the method further includes:
obtaining ideal operation parameters of each device forming the ideal energy consumption and actual operation parameters of each device forming the actual energy consumption;
and comparing the ideal operation parameters with the actual operation parameters to determine a parameter energy-saving diagnosis result.
In the scheme, all parameters required to be operated by each device with ideal energy consumption are uniformly compared with the current actual parameters, and specific improvement measures, namely parameter energy-saving diagnosis conclusions, are given according to the difference between the parameters. The parameter energy-saving diagnosis conclusion mainly comprises what the ideal energy consumption is and relevant operation operations required for achieving the ideal energy consumption. For example, if the energy system is an air conditioning system, the energy-saving parameter diagnosis result may be to turn on a chiller, reduce the temperature of the supplied water, and the like.
Fig. 2 is a flowchart of an energy system online energy saving diagnosis method for comparing actual energy consumption with ideal energy consumption in real time according to an embodiment of the present application. As shown in fig. 2, the system ideal energy consumption is calculated according to the preset ideal energy consumption calculation rule based on the operation data of the energy system monitored by the control system. And acquiring the actual energy consumption of the system, comparing the ideal energy consumption with the actual energy consumption, and giving a grading guidance suggestion according to the difference between the ideal energy consumption and the actual energy consumption. The actual energy consumption is composed of actual values of various operation data, the ideal energy consumption is composed of ideal values of various operation data, the actual values of the operation data and the ideal values of the operation data of various devices are respectively compared, the difference value of the operation parameters of the various devices is determined, the energy-saving diagnosis result of the parameters is given according to the difference value of the operation parameters of the various devices, and specific measures that the actual values are close to the ideal values are given.
The ideal energy consumption is compared with the actual energy consumption, and each operating parameter of the energy system is compared, so that the energy-saving potential can be determined, and the rationality of each adjustable operating parameter of the energy system is used as diagnosis and judgment.
According to the technical scheme provided by the embodiment of the application, the operation data of at least one device in the energy system is acquired; calculating according to the operation data and a preset ideal energy consumption calculation rule to obtain ideal energy consumption of the energy system; and comparing the ideal energy consumption with the predetermined actual energy consumption to determine the energy-saving diagnosis result of the energy system. By executing the technical scheme, the real-time energy-saving diagnosis of the actual energy consumption and the ideal energy consumption of various energy systems in various industries can be realized by calculating the ideal energy consumption of the energy system, the energy-saving potential is determined, and the rationality of each adjustable operation parameter of the energy system can be used as diagnosis judgment.
Example two
Fig. 3 is a schematic structural diagram of an energy-saving diagnostic apparatus for an energy system according to a second embodiment of the present application, and as shown in fig. 3, the energy-saving diagnostic apparatus for an energy system includes:
an operation data obtaining module 310, configured to obtain operation data of at least one device in the energy system;
the ideal energy consumption calculation module 320 is used for calculating the ideal energy consumption of the energy system according to the operation data and a preset ideal energy consumption calculation rule;
and the energy-saving diagnosis result determining module 330 is configured to compare the ideal energy consumption with a predetermined actual energy consumption, and determine an energy-saving diagnosis result of the energy system.
In this embodiment, optionally, the ideal energy consumption calculating module 320 includes:
the function determining unit is used for determining a coaction function and a characteristic function according to the operation data; wherein, the coaction function is a function formed by factors influencing the energy consumption of all equipment in the energy system; the characteristic function is a function formed by factors influencing the energy consumption of single equipment in the energy system;
and the ideal energy consumption calculating unit is used for calculating the ideal energy consumption of the energy system according to a preset ideal energy consumption calculating rule by utilizing the combined action function and the characteristic function.
In this technical solution, optionally, the ideal energy consumption calculating unit includes:
the objective function subunit is used for determining an objective function according to the coaction function;
and the ideal energy consumption obtaining subunit is used for taking the characteristic function as a constraint condition, and optimally calculating the target function based on a preset optimal calculation model to obtain the ideal energy consumption of the energy system.
In this technical solution, optionally, the characteristic function includes an energy system characteristic function and an equipment characteristic function.
In this technical solution, optionally, the energy-saving diagnosis result determining module 330 is specifically configured to:
and displaying the ideal energy consumption and the actual energy consumption on a platform in real time so as to be used for comparing the ideal energy consumption with the predetermined actual energy consumption in real time.
In this technical solution, optionally, the apparatus further includes:
a parameter obtaining module, configured to obtain ideal operation parameters of each device that constitutes the ideal energy consumption and actual operation parameters of each device that constitutes the actual energy consumption;
and the parameter energy-saving diagnosis result determining module is used for comparing the ideal operation parameters with the actual operation parameters to determine a parameter energy-saving diagnosis result.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
Embodiments of the present application also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for energy saving diagnosis of an energy system, the method including:
acquiring operation data of at least one device in an energy system;
calculating according to the operation data and a preset ideal energy consumption calculation rule to obtain ideal energy consumption of the energy system;
and comparing the ideal energy consumption with the predetermined actual energy consumption to determine an energy-saving diagnosis result of the energy system.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the computer system in which the program is executed, or may be located in a different second computer system connected to the computer system through a network (such as the internet). The second computer system may provide the program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the energy-saving diagnosis operation of the energy system described above, and may also perform related operations in the energy-saving diagnosis method of the energy system provided in any embodiment of the present application.
Example four
The embodiment of the application provides electronic equipment, and the energy-saving diagnosis device of the energy system provided by the embodiment of the application can be integrated in the electronic equipment. Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application. As shown in fig. 4, the present embodiment provides an electronic device 400, which includes: one or more processors 420; the storage device 410 is configured to store one or more programs, and when the one or more programs are executed by the one or more processors 420, the one or more processors 420 are enabled to implement the energy saving diagnostic method for an energy system provided in an embodiment of the present application, the method includes:
acquiring operation data of at least one device in an energy system;
calculating according to the operation data and a preset ideal energy consumption calculation rule to obtain ideal energy consumption of the energy system;
and comparing the ideal energy consumption with the predetermined actual energy consumption to determine an energy-saving diagnosis result of the energy system.
Of course, those skilled in the art will understand that the processor 420 also implements the technical solution of the energy saving diagnostic method provided in any embodiment of the present application.
The electronic device 400 shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 4, the electronic device 400 includes a processor 420, a storage device 410, an input device 430, and an output device 440; the number of the processors 420 in the electronic device may be one or more, and one processor 420 is taken as an example in fig. 4; the processor 420, the storage device 410, the input device 430, and the output device 440 in the electronic apparatus may be connected by a bus or other means, and are exemplified by a bus 450 in fig. 4.
The storage device 410 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and module units, such as program instructions corresponding to the energy-saving diagnosis method of the energy system in the embodiment of the present application.
The storage device 410 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the storage 410 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, storage 410 may further include memory located remotely from processor 420, which may be connected via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 430 may be used to receive input numbers, character information, or voice information, and to generate key signal inputs related to user settings and function control of the electronic device. The output device 440 may include a display screen, speakers, or other electronic equipment.
The electronic equipment provided by the embodiment of the application can achieve the purpose of real-time energy-saving diagnosis of actual energy consumption and ideal energy consumption of various energy systems in various industries by calculating ideal energy consumption.
The energy-saving diagnosis device, the storage medium and the electronic device for the energy system provided in the above embodiments may execute the energy-saving diagnosis method for the energy system provided in any embodiment of the present application, and have corresponding functional modules and beneficial effects for executing the method. Technical details that are not described in detail in the above embodiments may be referred to an energy saving diagnostic method of an energy system provided in any embodiment of the present application.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the appended claims.
Claims (10)
1. An energy-saving diagnosis method for an energy system, comprising:
acquiring operation data of at least one device in an energy system;
calculating according to the operation data and a preset ideal energy consumption calculation rule to obtain ideal energy consumption of the energy system;
and comparing the ideal energy consumption with the predetermined actual energy consumption to determine an energy-saving diagnosis result of the energy system.
2. The method of claim 1, wherein calculating the ideal energy consumption of the energy system according to the preset ideal energy consumption calculation rule based on the operation data comprises:
determining a coaction function and a feature function according to the operating data; wherein, the coaction function is a function formed by factors influencing the energy consumption of all equipment in the energy system; the characteristic function is a function formed by factors influencing the energy consumption of single equipment in the energy system;
and calculating according to a preset ideal energy consumption calculation rule by utilizing the combined action function and the characteristic function to obtain the ideal energy consumption of the energy system.
3. The method of claim 2, wherein calculating the ideal energy consumption of the energy system according to a preset ideal energy consumption calculation rule by using the co-acting function and the characteristic function comprises:
determining a target function according to the coaction function;
and taking the characteristic function as a constraint condition, and optimally calculating the target function based on a preset optimal calculation model to obtain the ideal energy consumption of the energy system.
4. The method of claim 2, wherein the characterization functions include an energy system characterization function and a device characterization function.
5. The method of claim 1, wherein comparing the ideal energy consumption to a predetermined actual energy consumption comprises:
and displaying the ideal energy consumption and the actual energy consumption on a platform in real time so as to be used for comparing the ideal energy consumption with the predetermined actual energy consumption in real time.
6. The method of claim 1, wherein after comparing the ideal energy consumption with a predetermined actual energy consumption to determine an energy saving diagnosis result of the energy system, the method further comprises:
obtaining ideal operation parameters of each device forming the ideal energy consumption and actual operation parameters of each device forming the actual energy consumption;
and comparing the ideal operation parameters with the actual operation parameters to determine a parameter energy-saving diagnosis result.
7. An energy-saving diagnostic device for an energy system, comprising:
the operation data acquisition module is used for acquiring operation data of at least one device in the energy system;
the ideal energy consumption calculation module is used for calculating the ideal energy consumption of the energy system according to the operation data and a preset ideal energy consumption calculation rule;
and the energy-saving diagnosis result determining module is used for comparing the ideal energy consumption with the actual energy consumption determined in advance and determining the energy-saving diagnosis result of the energy system.
8. The apparatus of claim 7, wherein the ideal energy consumption calculation module comprises:
the function determining unit is used for determining a coaction function and a characteristic function according to the operation data; wherein, the coaction function is a function formed by factors influencing the energy consumption of all equipment in the energy system; the characteristic function is a function formed by factors influencing the energy consumption of single equipment in the energy system;
and the ideal energy consumption calculating unit is used for calculating the ideal energy consumption of the energy system according to a preset ideal energy consumption calculating rule by utilizing the combined action function and the characteristic function.
9. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the energy system energy saving diagnostic method according to any one of claims 1 to 6.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the energy system energy saving diagnostic method according to any one of claims 1 to 6 when executing the computer program.
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| CN202110717592.9A CN113448249A (en) | 2021-06-28 | 2021-06-28 | Energy-saving diagnosis method and device for energy system, storage medium and electronic equipment |
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| WO2024099474A1 (en) * | 2022-11-11 | 2024-05-16 | 华为技术有限公司 | Energy efficiency evaluation method, apparatus, and system, and related device |
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