Load calculation method and related device for comprehensive energy planning

Abstract

The embodiment of the present application discloses a method and related device for load calculation of comprehensive energy planning, the method comprising the following steps: collecting modeling data and establishing a building simulation model; generating a first preset time load curve according to the building simulation model; adjusting the first load curve of the preset time according to the preset constraint peak load data and / or the building historical load data, and obtaining a second load curve of the preset time. Through the method, the hourly dynamic characteristics of the load can be reflected, so that the load calculation is close to the actual situation.

Description

Technical Field

[0001] The present invention relates to the technical field of energy system load forecasting, and in particular to a method and related device for load calculation of comprehensive energy planning. Background Art

[0002] Comprehensive energy planning has a significant impact on the low-carbon development of cities. Accurate load calculation curves can predict the load values ​​of urban buildings at different times. Such planning allocates energy for cold, hot, electric and steam loads, which is of great significance to the stability of people's production and life. Therefore, reasonable prediction of urban cold, hot, electric and steam loads is crucial to energy planning.

[0003] In the existing technology, comprehensive energy planning estimates the peak load and the comprehensive energy used throughout the year by multiplying the corresponding building type by the corresponding load index. This method cannot reflect the hourly dynamic characteristics of the load, or it uses computer simulation to obtain the hourly load curve of the building as the predicted value of the building's comprehensive load. This type of load calculation has the defect that the predicted value does not conform to the actual situation. Summary of the invention

[0004] One purpose of the present application is to provide a method and a related device for load calculation of comprehensive energy planning. The advantage is that it can reflect the hourly dynamic characteristics of the load, and the load calculation is close to the actual situation.

[0005] To achieve the above objectives, in a first aspect, an embodiment of the present application provides a method for load calculation for integrated energy planning, comprising the following steps:

[0006] Collect modeling data and build a building simulation model;

[0007] Generating a first preset duration load curve according to the building simulation model;

[0008] According to the preset constraint peak load data and / or the historical load data of the building, the first load curve of the preset duration is adjusted to obtain the second load curve of the preset duration.

[0009] It can be understood that, through the steps of presetting the duration load curve and adjusting the curve, the load forecast can reflect the hourly dynamic characteristics of the load, and the load calculation is close to the actual situation.

[0010] In a possible example, the collecting modeling data includes:

[0011] Collect at least one of the review standard data, climate zoning data, building business data, building structure data, and fire protection standard data.

[0012] It can be understood that collecting at least one of the review standard data, climate zoning data, building business data, building structure data, and fire protection standard data can improve the comprehensive level of establishing a simulation model.

[0013] In a possible example, after the building simulation model is established, the following steps are further included:

[0014] According to the historical climate data, the climate parameters of the building simulation model are set within a preset time period and a preset range.

[0015] It can be understood that, according to historical climate data, setting the climate parameters of the building simulation model within a preset time period and a preset range can improve the accuracy of the output data of the simulation model.

[0016] In a possible example, adjusting the first load curve of the preset duration includes the following steps:

[0017] If the preset constraint peak load data exists and the historical load data of the building does not exist, the peak load data of the first load curve of the preset duration is adjusted to be consistent with the preset constraint peak load data to obtain a comparison coefficient between the two; based on the comparison coefficient, the non-peak load segment data of the first load curve of the preset duration is processed.

[0018] It can be understood that by adjusting the curve in which the preset constrained peak load data exists but in which the historical load data of the building does not exist, the fitting accuracy of the second load curve of the preset duration can be optimized.

[0019] In a possible example, adjusting the first load curve of the preset duration includes the following steps:

[0020] If the preset constrained peak load exists and the historical load data of the building exists, the peak load data of the first load curve of the preset duration is adjusted to be consistent with the preset constrained peak load, and a comparison coefficient between the two is obtained;

[0021] According to the comparison coefficient, the non-peak load segment data of the first load curve of the preset duration is processed, and the data of the typical daily time period in the historical load data of the building is used to replace the data of the typical daily time period in the first load curve of the preset duration.

[0022] It can be understood that by adjusting the curve having the preset constrained peak load and the historical load data of the building, the fitting accuracy of the second load curve of the preset duration can be optimized.

[0023] In a possible example, adjusting the first load curve of the preset duration includes the following steps:

[0024] If the preset constrained peak load does not exist, and the historical building load data exists, the data of the typical daily time period in the historical building load data is used to replace the data of the typical daily time period in the first load curve of the preset duration.

[0025] It can be understood that by adjusting the curve without the preset constraint peak load and with the historical load data of the building, the fitting accuracy of the second load curve of the preset duration can be optimized.

[0026] In a second aspect, an embodiment of the present application provides a load calculation device suitable for integrated energy planning, including instructions for executing some or all of the steps described in the first aspect.

[0027] In a third aspect, an embodiment of the present application provides a device for load calculation suitable for integrated energy planning, comprising a processor, a memory, and one or at least one program, wherein the one or at least one program is stored in the memory and configured to be executed by the processor, and the program includes instructions for some or all of the steps described in the first aspect.

[0028] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program enables a computer to execute some or all of the steps described in the first aspect.

[0029] Implementing the embodiments of the present application will have the following beneficial effects:

[0030] It is possible to collect modeling data and establish a building simulation model. According to the building simulation model, a first preset time load curve is generated. According to the preset constraint peak load data and / or the building historical load data, the preset time first load curve is adjusted to obtain a preset time second load curve. In this way, the hourly dynamic characteristics of the load can be reflected, so that the load calculation is close to the actual situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0032] in:

[0033] Figure 1 This is an application scenario diagram of load calculation for comprehensive energy planning provided by an embodiment of the present application;

[0034] Figure 2It is a flow chart of load calculation for comprehensive energy planning provided by an embodiment of the present application;

[0035] Figure 3 A schematic diagram of a preset duration load curve adjustment scheme 1 provided in an embodiment of the present application;

[0036] Figure 4 A schematic diagram of a second preset duration load curve adjustment scheme provided in an embodiment of the present application;

[0037] Figure 5 A schematic diagram of a preset duration load curve adjustment scheme 3 provided in an embodiment of the present application;

[0038] Figure 6 It is a structural schematic diagram of a load calculation device for comprehensive energy planning provided in an embodiment of the present application;

[0039] Figure 7 It is a structural diagram of a load calculation device for comprehensive energy planning provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. According to the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0041] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0042] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0043] The network architecture used in the embodiment of the present application includes a server and an electronic device. The embodiment of the present application does not limit the number of electronic devices and servers, and the server can provide services for multiple electronic devices at the same time. The server can be implemented as an independent server or a server cluster composed of multiple servers.

[0044] The electronic device may be a personal computer (PC), a laptop or a smart phone. In addition, the electronic device may also be an all-in-one machine, a handheld computer, a tablet computer (pad), a smart TV player terminal, a vehicle-mounted terminal or a portable device. The operating system of the electronic device on the PC side, such as an all-in-one machine, may include but is not limited to Linux system, Unix system, Windows series system (such as Windows XP, Windows 7, etc.), Mac OS X system (Apple computer operating system) and other operating systems. The operating system of the electronic device on the mobile side, such as a smart phone, may include but is not limited to Android system, IOS (Apple mobile phone operating system), Window system and other operating systems.

[0045] The electronic device in the embodiment of the present application can install and run an application, and the server can be a server corresponding to the application installed in the electronic device, providing application services for the application. The application can be a separately integrated application software, or a small program embedded in other applications, or a system on a web page, etc., which is not limited here.

[0046] For example, a user can input the collected modeling data through the display screen of an electronic device, and then submit a request to generate a building simulation model. Then, the electronic device can display the required data input box based on the page of the modeling software. The electronic device can also send the request to generate a building simulation model to a server, and the server obtains the modeling data and forwards it to the electronic device, so that the electronic device generates and displays the building simulation model based on the parameter information. Among them, the modeling data information includes review standard data, climate zoning data, building business data, building structure data, fire protection standard data, etc.

[0047] In an embodiment of the present application, templates of different functional components may be pre-stored. The functional components in the template may adopt a default style, and the text in the template may be empty or default text. In this way, when a request to generate a building simulation model is received, the building simulation model may be obtained through the building energy consumption simulation software based on the modeling data information. The templates of the above-mentioned functional components may be centrally stored in a functional component template library, and may also be stored in a block created on the blockchain network. In this way, while ensuring data security, data sharing between different platforms may be achieved.

[0048] In the existing technology, comprehensive energy planning estimates the peak load and the comprehensive energy used throughout the year by multiplying the corresponding building type by the corresponding load index. This method cannot reflect the hourly dynamic characteristics of the load, or it uses computer simulation to obtain the hourly load curve of the building as the predicted value of the building's comprehensive load. This type of load calculation has the defect that the predicted value does not conform to the actual situation.

[0049] A method for load calculation for comprehensive energy planning is proposed in an embodiment of the present application. The method can be executed by a load calculation device. The device can be implemented by software and / or hardware and can generally be integrated in a computer device. It can reflect the hourly dynamic characteristics of the load, so that the load calculation is close to the actual situation.

[0050] Please refer to Figure 1 , Figure 1 This is an application scenario diagram of load calculation for comprehensive energy planning provided by this application. 101 in the figure is a preset time load curve, 102 in the figure is an electronic device, and 103 in the figure is a user. It should be noted that Figure 1 The number of devices, the form of devices, and the number of users in the system shown are for illustrative purposes only and do not constitute a limitation on the embodiments of the present application. A server can be connected to one or more electronic devices, and an electronic device can be connected to one or more servers.

[0051] The electronic device 102 may be Figure 1 The laptop, mobile phone or personal computer (PC) shown may also be an all-in-one machine, a handheld computer, a tablet computer (pad), a TV player terminal and a portable device. The operating system of the electronic device on the PC side, such as an all-in-one machine, may include but is not limited to Linux system, Unix system, Windows series system (such as Windows XP, Windows 7, etc.) and other operating systems. The operating system of the electronic device on the mobile side, such as a mobile phone, may include but is not limited to Android system, IOS (Apple mobile phone operating system), Window system and other operating systems. In the following application documents, the electronic device is described as a mobile phone terminal.

[0052] The user 103 is a user who actually operates the electronic device 102 . The user 103 can input operation instructions to the electronic device 102 to control the electronic device 102 to perform corresponding operations.

[0053] For example, the user 103 may obtain the preset duration load curve through the electronic device 102, or the user 103 may view the preset duration load curve received by the electronic device 102 from the server or other electronic devices through the electronic device 102. The present application does not limit other electronic devices, which may be any electronic device other than the electronic device 102, and the type of other electronic devices may be the same as or different from the type of the electronic device 102.

[0054] Please refer to Figure 2 , Figure 2 This is a flow chart of load calculation for integrated energy planning provided by the present application. Taking the method applied to load calculation for integrated energy planning as an example, the load calculation device may include a server or an electronic device. The method includes the following steps S201 to S203, wherein:

[0055] S201: Collect modeling data and establish a building simulation model.

[0056] In an embodiment of the present application, the modeling data includes at least one of review standard data, climate zoning data, building format data, building structure data, and fire protection standard data. Review standard data include national and local green building and energy-saving standards such as "Green Building Evaluation Standard" GB / T50378-2014 and "Public Building Energy-Saving Design Standard" GB501892015. Building format data represents building forms with different uses and functions in real estate development, such as hotels, apartments, super high-rise hotels, villas, garden houses, pedestrian streets, commercial streets, department stores, etc. Different building formats have different room function allocations and consume different loads. In the fire protection standard data, different fireproof materials are selected, and their heat dissipation and fire protection properties have different characteristics. There are currently five main grades of fireproof materials:

[0057] Class A1: Non-flammable and no open flame.

[0058] Grade A2: Non-flammable, smoke must be measured and qualified.

[0059] B1: Flame-retardant building materials, which have good flame retardant effect. They are difficult to catch fire when exposed to open flames or high temperatures in the air, and are not easy to spread quickly. When the fire source is removed, the burning stops immediately.

[0060] B2: Combustible building materials, combustible materials have a certain flame retardant effect. When exposed to open flames or high temperatures in the air, they will immediately catch fire and burn, which can easily lead to the spread of fire, such as wooden columns, wooden roof frames, wooden beams, wooden stairs, etc.

[0061] Class B3: Flammable building materials, without any flame retardant effect, very easy to burn, and very dangerous to fire. The fireproof materials required for the building are selected according to the functional requirements of the building simulation.

[0062] In the embodiment of the present application, establishing a simulation model includes: drawing the outline of the building wall; selecting the floor height and drawing the wall; drawing doors and windows, and editing the parameters of the doors and windows respectively; inputting the building's geographical location information; setting the functional parameters of the room, the ventilation parameters of the room, the temperature parameters of the room, and the structural parameters of the building enclosure. For example: after the user draws the outline of the building wall, a new floor is created in the simulation software, and the height of the new floor is given to 3 meters in the software system, and then a new floor can be created. After selecting the current floor, the user then uses the tools in the system to draw a rectangular straight wall. In the system software, the rectangular straight wall is obtained by inputting the coordinates of the diagonal points of the rectangle or directly clicking the two diagonal points in the figure. Next, open a door in the building model, enter the door height of 2.3 meters and the door width of 1.2 meters in the software system, and finally select the location of the door in the picture. You can add doors continuously. After adding, set windows in the building physical model. In the command bar, enter the window sill height of 0.6 meters from the floor, enter the window height of 1 meter, and enter the window width of 2 meters. After entering the parameters of the above three items, start selecting the wall where the window is located in the picture. When setting the window, continue to add windows until the requirements are met. After the above steps are completed, conduct a comprehensive topological check on the building, remove the singular building structure, and finally determine the architectural composition form.

[0063] In commercial buildings, different rooms have different functions, and the personnel, lighting, equipment, and systems inside are different, which will greatly affect the final load of the room. Therefore, the room function parameter is a relatively important parameter. The user sets the room mark in the system toolbar, and the system automatically assigns the room name. The user can also name it according to the function of the room. The user displays the browsing window in the software system menu bar, selects the required room in the display window, selects the basic properties of the room in the software system toolbar, and then sets the room function. In the room type toolbar, you can select different types of rooms. After selecting the type of room, set the work and rest of the room personnel, lighting work and rest, and equipment work and rest. These work and rest times use the default values ​​in the room function type provided by the energy consumption simulation software.

[0064] The user can set the room ventilation parameters of the building model through the software system, and then select internal ventilation between rooms, external ventilation between rooms and the outside world, or both according to the system software toolbar. After adding room ventilation, the user will then confirm the hourly ventilation times. The ventilation times of the building generally use the default ventilation times provided by the energy consumption simulation software.

[0065] S202: Generate a first preset duration load curve according to the building simulation model.

[0066] In an embodiment of the present application, the loads include cold, hot, electric, and steam loads. After the building simulation model is established, the climate parameters of the building simulation model are set within a preset time period and a preset range according to historical climate data. The climate parameters within the preset range include: relative humidity, outdoor wind speed, and atmospheric pressure. Relative humidity represents the ratio of the absolute humidity in the air to the saturated absolute humidity at the same temperature and pressure. The result is a percentage, which refers to the ratio of the mass of water vapor contained in a certain humid air to the mass of water vapor contained in the saturated air at the same temperature and pressure. This ratio is expressed as a percentage. The outdoor wind speed refers to the movement rate of the outdoor air relative to a fixed location on the earth, generally expressed in m / s. For example, the wind speed within the preset range of the building today is 6m / s.

[0067] S203: According to preset constraint peak load data and / or building historical load data, adjust the first load curve of preset duration to obtain a second load curve of preset duration.

[0068] See also Figure 3 , Figure 3 A schematic diagram of a preset duration load curve adjustment scheme 1 provided in an embodiment of the present application. In this adjustment scheme, a preset duration first load curve is generated according to the simulation software, the peak load data of the preset duration first load curve is adjusted to be consistent with the preset constraint peak load data, and a comparison coefficient between the two is obtained. According to the comparison coefficient, the non-peak load segment data of the preset duration first load curve is adjusted. For example, the preset duration first load curve is a, the preset constraint peak load data is max, and the peak load data of the preset duration first load curve is h, then the peak load data of the preset duration first load curve is adjusted to be consistent with the preset constraint peak load data, and the two are compared, and max is divided by h to obtain the coefficient k, and the coefficient k is multiplied by the non-peak load segment data of the preset duration first load curve to obtain the preset duration second load curve b.

[0069] See also Figure 4 , Figure 4A schematic diagram of a preset duration load curve adjustment scheme 2 provided in an embodiment of the present application. In this adjustment scheme, if the preset constraint peak load exists and the historical load data of the building exists, the peak load data of the first load curve of the preset duration is adjusted to be consistent with the preset constraint peak load, and a comparison coefficient between the two is obtained. According to the comparison coefficient, the non-peak load segment data of the first load curve of the preset duration is adjusted, and the data of the typical day time period in the historical load data of the building is used to replace the data of the typical day time period in the first load curve of the preset duration. For example, the first load curve of the preset duration is a, the historical load curve of the building is c, the peak load data of the first load curve of the preset duration is h, and the preset constraint peak load is max. Then, the peak load data of the first load curve of the preset duration is adjusted to be consistent with the preset constraint peak load, and max is divided by h to obtain the coefficient k, and the coefficient k is multiplied by the non-peak load segment data of the first load curve of the preset duration. Furthermore, the data of the typical day period T1-T2 in the historical load data of the building are used to replace the data of the typical day period T1-T2 in the first load curve of the preset duration, so as to obtain the second load curve d of the preset duration.

[0070] See also Figure 5 , Figure 5 A schematic diagram of a preset duration load curve adjustment scheme three provided in an embodiment of the present application. In this adjustment scheme, if the preset constrained peak load does not exist and the historical load data of the building exists, the data of the typical daily time period in the historical load data of the building is used to replace the data of the typical daily time period in the first load curve of the preset duration. For example, if the preset duration load curve is a and the historical load curve of the building is b, the data of the typical daily time period T1-T2 in the historical load data of the building is used to replace the data of the typical daily time period T1-T2 in the first load curve of the preset duration, and the second load curve c of the preset duration is obtained.

[0071] See also Figure 6 , Figure 6 This is a schematic diagram of the structure of a load calculation device for comprehensive energy planning provided in an embodiment of the present application. The device can be a server or a module in a server. Figure 6 As shown, the device 600 at least includes: a collection unit 601 and a processing unit 602; wherein:

[0072] The acquisition unit 601 is used to acquire modeling data, wherein the modeling data includes review standard data, climate zoning data, building business data, building structure data, and fire protection standard data;

[0073] The processing unit 602 is used to establish a building simulation model; generate a first preset duration load curve based on the building simulation model; adjust the preset duration first load curve based on preset constraint peak load data and / or building historical load data to obtain a preset duration second load curve.

[0074] In a possible example, the processing unit 602 is specifically used to establish a building simulation model; generate a first preset duration load curve based on the building simulation model; adjust the preset duration first load curve based on preset constraint peak load data and / or building historical load data to obtain a preset duration second load curve.

[0075] In a possible example, the processing unit 602 is specifically used to collect at least one of review standard data, climate zoning data, building business data, building structure data, and fire protection standard data.

[0076] In a possible example, the processing unit 602 sets the climate parameters of the building simulation model within a preset time period and a preset range according to historical climate data.

[0077] In one possible example, if the preset constraint peak load data exists and the building historical load data does not exist, the processing unit 602 adjusts the peak load data of the first load curve of the preset duration to be consistent with the preset constraint peak load data, and obtains a comparison coefficient between the two; based on the comparison coefficient, the non-peak load segment data of the first load curve of the preset duration is processed.

[0078] In one possible example, if the preset constrained peak load exists and the historical load data of the building exists, the processing unit 602 adjusts the peak load data of the first load curve of the preset duration to be consistent with the preset constrained peak load, and obtains a comparison coefficient between the two; based on the comparison coefficient, the non-peak load segment data of the first load curve of the preset duration is processed, and the data of the typical daily time period in the historical load data of the building is used to replace the data of the typical daily time period in the first load curve of the preset duration.

[0079] In one possible example, if the preset constrained peak load does not exist and the building historical load data exists, the processing unit 602 uses the data of the typical daily time period in the building historical load data to replace the data of the typical daily time period in the first load curve of the preset duration.

[0080] The detailed execution process of each unit in the device 600 can refer to the execution steps in the aforementioned method embodiment, which will not be repeated here.

[0081] See also Figure 7 , Figure 7A schematic diagram of a load calculation device for integrated energy planning provided in an embodiment of the present application. The computer device 700 may include a server or an electronic device, such as Figure 7 As shown, the device includes a processor 701, a memory 702, a communication interface 703, and one or more programs 704. The one or more programs 704 are stored in the memory 702 and are configured to be executed by the processor 701. The program 704 includes instructions for executing the following steps:

[0082] Collect modeling data and establish a building simulation model; generate a first preset duration load curve based on the building simulation model; adjust the first preset duration load curve based on preset constraint peak load data and / or building historical load data to obtain a second preset duration load curve.

[0083] In a possible example, in terms of generating a seed link for sharing the electronic material, the program 704 is specifically used to execute instructions for the following steps:

[0084] Collect at least one of the review standard data, climate zoning data, building business data, building structure data, and fire protection standard data.

[0085] In a possible example, the program 704 is specifically used to execute instructions for the following steps:

[0086] According to the historical climate data, the climate parameters of the building simulation model are set within a preset time period and a preset range.

[0087] In a possible example, the program 704 is specifically used to execute instructions for the following steps:

[0088] If the preset constraint peak load data exists and the historical load data of the building does not exist, the peak load data of the first load curve of the preset duration is adjusted to be consistent with the preset constraint peak load data to obtain a comparison coefficient between the two; based on the comparison coefficient, the non-peak load segment data of the first load curve of the preset duration is processed.

[0089] In a possible example, the program 704 is specifically used to execute instructions for the following steps:

[0090] If the preset constraint peak load exists and the historical load data of the building exists, the peak load data of the first load curve of the preset duration is adjusted to be consistent with the preset constraint peak load, and a comparison coefficient between the two is obtained; according to the comparison coefficient, the non-peak load segment data of the first load curve of the preset duration is processed, and the data of the typical daily time period in the historical load data of the building is used to replace the data of the typical daily time period in the first load curve of the preset duration.

[0091] In a possible example, the program 704 is specifically used to execute instructions for the following steps:

[0092] If the preset constrained peak load does not exist, and the historical building load data exists, the data of the typical daily time period in the historical building load data is used to replace the data of the typical daily time period in the first load curve of the preset duration.

[0093] Those skilled in the art will appreciate that for ease of description, Figure 7 Only one memory 702 and processor 701 are shown. In an actual device or server, there may be multiple processors and memories. The memory may also be referred to as a storage medium or a storage device, etc., which is not limited in the embodiments of the present application.

[0094] It should be understood that in the embodiments of the present application, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor may also be a general-purpose microprocessor, graphics processing unit (GPU), or one or more integrated circuits for executing related programs to implement the functions required to be executed in the embodiments of the present application.

[0095] The processor 701 may also be an integrated circuit chip having signal processing capabilities. In the implementation process, the various steps of the present application may be completed by an integrated logic circuit of hardware or software instructions in the processor 701. The above-mentioned processor 701 may implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application. The steps of the method disclosed in conjunction with the embodiments of the present application may be directly embodied as being executed by a hardware decoding processor, or may be executed by a combination of hardware and software modules in a decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 702, and the processor 701 reads the information in the memory 702, and completes the functions required to be performed by the unit included in the method, device and storage medium for load calculation of the integrated energy planning of the embodiment of the present application in conjunction with its hardware.

[0096] It should also be understood that the memory mentioned in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct RAM bus random access memory (DR RAM). The memory can also be a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by the computer, but is not limited to this. The memory can be independent and connected to the processor through a bus. The memory may also be integrated with the processor. The memory may store a program, and when the program stored in the memory is executed by the processor, the processor is used to execute each step of the determination method in the above embodiment of the present application.

[0097] It should be noted that when the processor is a general-purpose processor, DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, the memory (storage module) is integrated into the processor. It should be noted that the memory described herein is intended to include but is not limited to these and any other suitable types of memory.

[0098] It should be understood that the term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0099] In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in a processor or an instruction in the form of software. The steps of the method disclosed in conjunction with the embodiment of the present application can be directly embodied as a hardware processor to be executed, or a combination of hardware and software modules in a processor to be executed. The software module can be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in conjunction with its hardware. To avoid repetition, it is not described in detail here.

[0100] Those skilled in the art will appreciate that the various illustrative logical blocks (ILBs) and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0101] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a program product of computer programming. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the driving recorder processor, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center, or can be transmitted from a website site, computer, server or data center to the driving recorder processor by wired mode. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk), an optical medium (eg, a DVD), or a semiconductor medium (eg, a solid state drive), etc.

[0102] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for load calculation for integrated energy planning, characterized in that: The following steps are involved: Collect modeling data and build a building simulation model; Generating a first preset duration load curve according to the building simulation model; If the preset constraint peak load data exists, and the building historical load data does not exist, the peak load data of the first load curve of the preset duration is adjusted to be consistent with the preset constraint peak load data, and a comparison coefficient between the two is obtained; According to the comparison coefficient, adjusting the non-peak load segment data of the first load curve of the preset duration; If the preset constrained peak load exists and the historical load data of the building exists, the peak load data of the first load curve of the preset duration is adjusted to be consistent with the preset constrained peak load, and a comparison coefficient between the two is obtained; According to the comparison coefficient, the non-peak load segment data of the first load curve of the preset duration is adjusted, and the data of the typical day period in the historical load data of the building is used to replace the data of the typical day period in the first load curve of the preset duration; If the preset constrained peak load does not exist, and the historical load data of the building exists, the data of the typical day time period in the historical load data of the building is used to replace the data of the typical day time period in the first load curve of the preset duration; According to the preset constraint peak load data and / or the historical load data of the building, the first load curve of the preset duration is adjusted to obtain the second load curve of the preset duration.

2. The method according to claim 1, characterized in that The collected modeling data includes: Collect at least one of the review standard data, climate zoning data, building business data, building structure data, and fire protection standard data.

3. The method according to claim 1, characterized in that After the building simulation model is established, the following steps are also included: According to the historical climate data, the climate parameters of the building simulation model are set within a preset time period and a preset range.

4. A load calculation device suitable for comprehensive energy planning, characterized in that: Used to perform the method according to any one of claims 1 to 3.

5. A device for load calculation suitable for integrated energy planning, characterized in that: The method comprises a processor, a memory and one or at least one program, wherein the one or at least one program is stored in the memory and configured to be executed by the processor, and the program comprises instructions for executing the steps in the method according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program enables a computer to execute to implement the method according to any one of claims 1 to 3.

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