Equipment regulation and control method and device for building, computer equipment and storage medium

Abstract

The invention relates to an equipment regulation and control method and device for a building, computer equipment and a storage medium. The method comprises the steps of performing clustering analysis on energy consumption information of each electric device of a target building, and determining an energy consumption scene; acquiring environment information and personnel activity information in each space in the target building in each energy consumption scene; determining an equipment operation regulation and control strategy according to the energy consumption information, the environment information and the personnel activity information; and under the condition that the energy consumption prediction information of the equipment operation regulation and control strategy meets the regulation and control target, controlling the working state of each electric equipment according to the equipment operation regulation and control strategy. By adopting the method, the influence of the environment and the personnel activity on the actual operation of the building can be fully considered, the equipment regulation and control strategy is formulated according to the energy consumption condition of the electric equipment in the building in combination with the environment and the personnel activity, and the energy consumption condition of the electric equipment in the building is timely and reasonably regulated and controlled based on the equipment regulation and control strategy. And the equipment regulation and control accuracy of the building is improved.

Description

Technical Field

[0001] The present application relates to the technical field of energy conservation in public buildings, and in particular to a method, device, computer equipment, computer-readable storage medium and computer program product for equipment control in buildings. Background Art

[0002] Zero-energy buildings refer to buildings that achieve a balance between the building's energy demand and renewable energy supply throughout the year by optimizing the building design and equipment operation management, while meeting the building's functions, comfort and safety. Renewable energy, especially solar energy, is widely used in zero-energy buildings due to the mature development of building photovoltaic integration technology and the clean and renewable characteristics of solar energy. The rational application and regulation of zero-energy buildings and their renewable energy sources help improve the matching degree of energy supply and demand.

[0003] Traditional technology mainly uses energy consumption simulation to analyze the energy demand of buildings to control equipment. However, the demand analysis of traditional technology is not comprehensive when performing equipment energy control, resulting in the equipment control plan being unable to fully adapt to the actual energy demand of the building, which is not conducive to improving the accuracy of equipment control for buildings. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for equipment control of buildings, which can improve the accuracy of equipment control for buildings in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for controlling equipment in a building, comprising:

[0006] Performing cluster analysis on the energy consumption information of each electrical device corresponding to the target building to determine at least one energy consumption scenario; the energy consumption scenario represents the energy consumption of each electrical device at different times;

[0007] Obtaining environmental information and personnel activity information in each space of the target building under each energy consumption scenario; the personnel activity information represents the distribution of personnel and the working status of electrical equipment in each space at different times;

[0008] Determining a device operation control strategy based on the energy consumption information, the environmental information, and the personnel activity information;

[0009] When the energy consumption prediction information of the equipment operation control strategy meets the preset control target, the working state of each electrical equipment is controlled according to the equipment operation control strategy; wherein, the energy consumption prediction information is obtained by predicting the energy consumption prediction model corresponding to the target building during the design stage.

[0010] In one of the embodiments, determining the equipment operation control strategy according to the energy consumption information, the environmental information and the personnel activity information includes:

[0011] Determining environmental comfort conditions based on the energy consumption information, the environmental information, and the personnel activity information;

[0012] With the goal of ensuring that environmental information and personnel activity information meet the environmental comfort conditions, the equipment operation control strategy is determined based on energy price information and / or energy distribution information; the energy price information represents the unit price of energy at different times; the energy distribution information represents the use of energy generated by the energy generation device associated with the target building.

[0013] In one embodiment, determining the equipment operation control strategy according to energy price information and / or energy distribution information includes:

[0014] Adjust the working state of each electrical device according to the energy price information and / or the energy distribution information to obtain an adjusted working state; the working state includes working time and / or energy consumption rate;

[0015] The equipment operation control strategy is determined according to the adjusted working state.

[0016] In one embodiment, the method further comprises:

[0017] Acquire structural information and meteorological information corresponding to the target building;

[0018] Determining energy consumption demand information according to the structural information, the meteorological information, and the personnel activity information of a reference building corresponding to the target building; the reference building includes a built building of the same building type as the target building;

[0019] The preset control target is determined according to the energy consumption demand information.

[0020] In one embodiment, determining the energy consumption demand information according to the structural information, the structural information, the meteorological information, and the personnel activity information of the reference building corresponding to the target building includes:

[0021] Determining energy generation information corresponding to the target building according to the structural information and the meteorological information; the energy generation information represents the energy generation amount of the energy generation device associated with the target building;

[0022] Adjusting the structural information corresponding to the target building according to the energy generation information to obtain adjusted structural information;

[0023] The energy consumption demand information is determined according to the adjusted structural information, the meteorological information and the personnel activity information of the reference building.

[0024] In one embodiment, the method further comprises:

[0025] According to the energy consumption information, the environmental information and the personnel activity information, an energy consumption prediction model corresponding to the target building in the design phase is adjusted to obtain an energy consumption prediction model corresponding to the target building in the operation phase;

[0026] Obtaining energy generation rate information of an energy generation device associated with the target building;

[0027] The energy consumption prediction information is determined by using the energy consumption prediction model corresponding to the target building in the operation stage according to the meteorological information of the target building and the energy generation rate information within the prediction time period.

[0028] In a second aspect, the present application also provides a device for controlling equipment in a building, comprising:

[0029] An analysis module, configured to perform cluster analysis on energy consumption information of each electrical device corresponding to the target building, and determine at least one energy consumption scenario; the energy consumption scenario represents the energy consumption of each electrical device at different times;

[0030] An acquisition module, used to acquire environmental information and personnel activity information in each space of the target building under each energy consumption scenario; the personnel activity information represents the distribution of personnel and the working status of electrical equipment in each space at different times;

[0031] A determination module, used to determine a device operation control strategy according to the energy consumption information, the environmental information and the personnel activity information;

[0032] A control module is used to control the working state of each electrical device according to the equipment operation control strategy when the energy consumption prediction information of the equipment operation control strategy meets the preset control target; wherein the energy consumption prediction information is obtained by predicting the energy consumption prediction model corresponding to the target building during the design stage.

[0033] In a third aspect, the present application further provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the steps of the above method are implemented.

[0034] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0035] In a fifth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0036] The above-mentioned equipment control method, device, computer equipment, computer-readable storage medium and computer program product for buildings, by clustering the energy consumption information of each electrical equipment corresponding to the target building, determine at least one energy consumption scenario, thereby analyzing the energy consumption of each electrical equipment corresponding to the target building, and constructing an energy consumption scenario that characterizes the operating characteristics of the electrical equipment; the energy consumption scenario characterizes the energy consumption of each electrical equipment at different times; obtains the environmental information and personnel activity information in each space in the target building under each energy consumption scenario, and uses the energy consumption scenario to determine the environmental parameters and personnel activity in the corresponding scenario, so as to subsequently control the equipment in combination with the environment and personnel; the personnel activity information characterizes the personnel distribution and the working status of the electrical equipment in each space at different times; determines the equipment operation control strategy based on the energy consumption information, environmental information and personnel activity information, so as to conclude The energy, environment and personnel activities information are combined to determine a reasonable equipment operation control strategy while ensuring personnel comfort and stable equipment operation; when the energy consumption forecast information of the equipment operation control strategy meets the preset control target, the working state of each electrical equipment is controlled according to the equipment operation control strategy; wherein, the energy consumption forecast information is obtained by predicting the energy consumption forecast model corresponding to the target building in the design stage, so as to fully consider the impact of the environment and personnel activities on the actual operation of the building, and determine the corresponding equipment control strategy in combination with the energy consumption of the electrical equipment in the building due to the environment and personnel activities; when it is determined that the energy consumption forecast information of the equipment operation control strategy meets the preset control target through the energy consumption forecast model corresponding to the target building in the design stage, the energy consumption of the electrical equipment in the building is timely and reasonably regulated based on the equipment control strategy, thereby improving the accuracy of equipment control for the building. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions 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 related drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 A schematic diagram of a flow chart of a method for controlling equipment in a building in one embodiment;

[0039] Figure 2 A schematic diagram of a process for designing and regulating renewable energy for a zero-energy building in one embodiment;

[0040] Figure 3 A schematic diagram of a process for designing a zero-energy building in one embodiment;

[0041] Figure 4 A schematic diagram of a process for regulating renewable energy in a zero-energy building in one embodiment;

[0042] Figure 5 is a structural block diagram of a device for controlling equipment of a building in one embodiment;

[0043] Figure 6 The figure is a diagram of the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0045] In one embodiment, Figure 1 As shown, a method for controlling equipment in a building is provided. This embodiment uses the method applied to a terminal as an example. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0046] Step S102, cluster analysis is performed on the energy consumption information of each electrical device corresponding to the target building to determine at least one energy consumption scenario; the energy consumption scenario represents the energy consumption of each electrical device at different times.

[0047] Among them, the target building may refer to a zero-energy building. In practical applications, a zero-energy building may refer to a building in which the sum of the energy consumed by the operation of the building and the energy consumed by the renewable energy facilities provided in the building is zero; that is, it refers to a building that can achieve energy self-sufficiency. However, due to technical and economic limitations, the "zero-energy building" in this application may refer to a building in which the sum of the energy consumption required to maintain the function of the building and the amount of electricity generated by renewable energy in the building is close to zero.

[0048] Among them, electrical equipment may refer to equipment that has completed specific functions by consuming electrical energy / electricity. In actual applications, electrical equipment may include but is not limited to air conditioners, lighting products, office equipment, charging piles, etc.

[0049] The energy consumption information may refer to information representing the amount of energy consumed by the electrical equipment. In practical applications, the energy consumption information may include power consumption information.

[0050] Among them, energy consumption scenarios may refer to information that characterizes the energy consumption of each electrical device at different times. In actual applications, energy consumption scenarios may include but are not limited to summer working days, winter working days, summer holidays, winter holidays, etc.

[0051] As an example, in order to reasonably regulate the electrical equipment (energy consumption) in the target building, the server can monitor the energy consumption information of each electrical equipment corresponding to the target building through monitoring equipment. Since the energy consumption of each electrical equipment in the target building is different at different times (such as different seasons, weekdays, holidays, etc.), the server can perform cluster analysis on the energy consumption information, and then construct corresponding energy consumption scenarios based on the clustering results to obtain at least one energy consumption scenario.

[0052] Step S104, obtaining environmental information and personnel activity information in each space of the target building under each energy consumption scenario; the personnel activity information represents the distribution of personnel and the working status of electrical equipment in each space at different times.

[0053] The environmental information may refer to information characterizing environmental parameters in each space in the target building. In practical applications, the environmental parameters may include but are not limited to carbon dioxide concentration, temperature, humidity, etc.

[0054] Among them, personnel activity information may refer to information that characterizes the distribution of personnel and the working status of electrical equipment in each space at different times. In actual applications, personnel activity information may include but is not limited to personnel occupancy rate and equipment utilization rate. Among them, personnel occupancy rate may refer to the ratio of the actual number of people in a functional space at a certain time to the number of people accommodated under the indoor design conditions; equipment utilization rate may refer to the ratio of the actual operating time of the equipment within a certain period of time to the total operating time, which is used to measure the utilization rate of the equipment.

[0055] As an example, the server can obtain environmental information and personnel activity information in each space in the target building under each energy consumption scenario according to the energy consumption scenario. Specifically, the server can collect the temperature in each space in the target building through a temperature sensor, collect the humidity in each space in the target building through a humidity sensor, and collect the carbon dioxide concentration data in each space in the target building through a carbon dioxide sensor, and obtain environmental information based on temperature, humidity and carbon dioxide concentration; the server can obtain the occupancy rate of personnel in each space in the target building through a personnel infrared monitor or a pedestrian flow detector, monitor the power consumption of electrical equipment operated by personnel through an electric meter, obtain the equipment utilization rate, and obtain personnel activity information based on the occupancy rate and the equipment utilization rate.

[0056] Step S106, determining a device operation control strategy according to the energy consumption information, the environmental information and the personnel activity information.

[0057] The device operation control strategy may refer to information used to control the working state of the electrical equipment.

[0058] As an example, the server can determine the hourly energy consumption curve of the electrical equipment based on the energy consumption information, and combine the hourly energy consumption curve, environmental information and the personnel activity information to determine the environmental conditions in each space in the target building that can meet the comfort requirements of the personnel at different times. The server can set the goal of ensuring that each space can meet the comfort requirements of the personnel and determine the control method for each electrical equipment. The server can determine the equipment operation control strategy based on the control method of each electrical equipment.

[0059] Step S108, when the energy consumption prediction information of the equipment operation control strategy meets the preset control target, the working state of each electrical equipment is controlled according to the equipment operation control strategy; wherein the energy consumption prediction information is obtained by predicting the energy consumption prediction model corresponding to the target building in the design stage.

[0060] Among them, the energy consumption prediction information may refer to the predicted value of the amount of energy actually consumed by the target building after the working status of each electrical equipment in the target building is adjusted based on the equipment operation control strategy. In actual applications, the energy consumption prediction information can be obtained by predicting the energy consumption prediction model corresponding to the target building in the design stage. The energy consumption prediction model corresponding to the target building in the design stage can generate energy consumption prediction information based on the adjusted working status of each electrical equipment and the meteorological information and structural information corresponding to the target building.

[0061] Among them, the preset control target may mean that the energy consumption forecast information does not exceed the preset building total energy consumption target value, and / or that each space in the target building meets the comfort requirements of the personnel, and / or that the renewable energy consumption data of the target building meets the corresponding requirements.

[0062] As an example, the server can input the adjusted working status of each electrical equipment and the meteorological information and structural information corresponding to the target building into the energy consumption prediction model corresponding to the target building in the design stage to obtain the energy consumption prediction information of the equipment operation control strategy. The server can then determine whether the energy consumption prediction information of the equipment operation control strategy meets the preset control target. When the energy consumption prediction information of the equipment operation control strategy meets the preset control target, the server can control the working status of each electrical equipment according to the equipment operation control strategy; when the energy consumption prediction information of the equipment operation control strategy does not meet the preset control target, the server can adjust the equipment operation control strategy to obtain a new equipment operation control strategy, and adjust the working status of the electrical equipment based on the new equipment operation control strategy. Then, the adjusted working status of each electrical equipment and the meteorological information and structural information corresponding to the target building are input into the energy consumption prediction model corresponding to the target building in the design stage to obtain new energy consumption prediction information, until the energy consumption prediction information meets the preset control target.

[0063] In the above-mentioned equipment control method for buildings, by clustering the energy consumption information of each electrical equipment corresponding to the target building, at least one energy consumption scenario is determined, so as to analyze the energy consumption of each electrical equipment corresponding to the target building, and construct an energy consumption scenario that characterizes the operating characteristics of the electrical equipment; the energy consumption scenario characterizes the energy consumption of each electrical equipment at different times; the environmental information and personnel activity information in each space in the target building under each energy consumption scenario are obtained, so as to use the energy consumption scenario to determine the environmental parameters and personnel activity situation under the corresponding scenario, so as to subsequently control the equipment in combination with the environment and personnel; the personnel activity information characterizes the personnel distribution and the working status of the electrical equipment in each space at different times; according to the energy consumption information, environmental information and personnel activity information, the equipment operation control strategy is determined, so as to combine the energy, environment and personnel activity information. information, determine a reasonable equipment operation control strategy while ensuring personnel comfort and stable equipment operation; when the energy consumption forecast information of the equipment operation control strategy meets the preset control target, control the working state of each electrical equipment according to the equipment operation control strategy; wherein, the energy consumption forecast information is obtained by predicting the energy consumption forecast model corresponding to the target building in the design stage, so as to fully consider the impact of the environment and personnel activities on the actual operation of the building, and determine the corresponding equipment control strategy in combination with the energy consumption of the electrical equipment in the building due to the environment and personnel activities; when it is determined that the energy consumption forecast information of the equipment operation control strategy meets the preset control target through the energy consumption forecast model corresponding to the target building in the design stage, the energy consumption of the electrical equipment in the building is timely and reasonably regulated based on the equipment control strategy, thereby improving the accuracy of equipment control for the building.

[0064] In an exemplary embodiment, an equipment operation control strategy is determined based on the energy consumption information, the environmental information and the personnel activity information, including: determining environmental comfort conditions based on the energy consumption information, the environmental information and the personnel activity information; determining an equipment operation control strategy based on energy price information and / or energy distribution information with the goal of ensuring that the environmental information and the personnel activity information meet the environmental comfort conditions; the energy price information represents the unit price of energy at different times; and the energy distribution information represents the usage of energy generated by the energy generation device associated with the target building.

[0065] Among them, environmental comfort conditions may refer to environmental parameters corresponding to an environment that meets the comfort requirements of specific personnel. In practical applications, environmental comfort conditions may include but are not limited to temperature range, humidity range, and carbon dioxide concentration range.

[0066] The energy price information may refer to information representing the unit price of energy at different times. In practical applications, the energy price information may include real-time electricity prices, time-of-use electricity prices, and the like.

[0067] The energy allocation information may refer to the usage of energy generated by the energy generation device associated with the target building. In practical applications, the energy allocation information may include allocable electric energy.

[0068] As an example, the server can determine the temperature range, humidity range, carbon dioxide concentration range and other information in each space of the target building at different times that can make people feel comfortable based on energy consumption information, environmental information and personnel activity information, and determine the environmental comfort conditions based on the temperature range, humidity range and carbon dioxide concentration range. Then, the server adjusts the working status of electrical equipment one by one according to energy price information and / or energy distribution information, with the goal of ensuring that the environmental information and personnel activity information meet the environmental comfort conditions, to obtain the equipment operation control strategy.

[0069] In this embodiment, environmental comfort conditions are determined based on the energy consumption information, environmental information and personnel activity information; with the goal of ensuring that the environmental information and personnel activity information meet the environmental comfort conditions, an equipment operation control strategy is determined based on energy price information and / or energy distribution information; the energy price information represents the unit price of energy at different times; the energy distribution information represents the amount of energy generated by the energy generation device associated with the target building. When the environmental information and personnel activity information can make people feel comfortable, the equipment operation control strategy for adjusting the working state of the electrical equipment can be accurately obtained, so as to avoid the target building being unable to meet the comfort requirements of the personnel after the equipment is controlled, so that the electrical equipment of the building can be accurately controlled based on the equipment control strategy, thereby improving the accuracy of equipment control for the building.

[0070] In some embodiments, the equipment operation control strategy is determined based on energy price information and / or energy distribution information, including: adjusting the working status of each electrical equipment according to the energy price information and / or the energy distribution information to obtain an adjusted working status; the working status includes working time and / or energy consumption rate; and determining the equipment operation control strategy based on the adjusted working status.

[0071] Among them, the working status may include working parameters, working time, energy consumption rate, etc. In actual applications, the energy consumption rate may include power consumption, etc. In specific implementations, when the electrical equipment is an air conditioner, the working status may include but is not limited to key parameters (such as temperature, wind speed), working time and power consumption, etc.

[0072] The adjusted working state may refer to information obtained after adjusting the working state of the electrical equipment.

[0073] As an example, the server can adjust the working time and / or working power of each power-consuming device according to the energy price information and / or the energy distribution information to obtain the adjusted working state, and then the server can generate the device operation control strategy based on the adjusted working state. In practical applications, the server can adjust the charging time distribution of power-consuming devices based on the energy price information, for example, the power supply / charging of some power-consuming devices can be completed during the night when the electricity price is lower; the server can adjust the charging time distribution of power-consuming devices based on the energy distribution information, for example, the charging power of the electric vehicle charging pile is reduced in the morning period, and the electric vehicle is charged through the charging pile during the noon period when the energy distribution information indicates that there is a surplus of photovoltaic power generation.

[0074] In this embodiment, the adjusted working state is obtained by adjusting the working state of each electrical equipment according to the energy price information and / or the energy distribution information; the working state includes working time and / or energy consumption rate; the equipment operation control strategy is determined according to the adjusted working state, and the working state of the electrical equipment can be reasonably adjusted from multiple angles based on the energy price information and / or the energy distribution information, and the equipment operation control strategy can be accurately obtained based on the adjusted working state, so as to accurately control the electrical equipment of the building based on the equipment control strategy, thereby improving the accuracy of equipment control for the building.

[0075] In some embodiments, the above method also includes: obtaining structural information and meteorological information corresponding to the target building; determining energy consumption demand information based on the structural information, meteorological information and personnel activity information of a reference building corresponding to the target building; the reference building includes an already built building with the same building type as the target building; and determining a preset control target based on the energy consumption demand information.

[0076] The structural information may refer to information characterizing the thermal engineering of the target building's envelope structure, building geometry information, distribution of electrical equipment, and the number of electrical equipment.

[0077] The meteorological information may refer to information representing meteorological data at the location of the target building.

[0078] The reference building may include a completed building of the same building type as the target building.

[0079] Among them, the energy consumption demand information may refer to the total amount of electricity consumed by each electrical equipment in the target building when the electrical equipment in the target building ensures that each space in the target building meets the comfort requirements of the personnel. In actual applications, the energy consumption demand information may include the total energy consumption target value of the building, etc. It can be understood that the renewable energy power generation demand value of the target building needs to be less than or equal to the total energy consumption target value of the building. When the renewable energy power generation demand value is equal to the total energy consumption target value of the building, the energy consumption demand information may also include the renewable energy power generation demand value.

[0080] As an example, during the design phase of a target building, in order to ensure that the total amount of energy generated by an energy generation device (such as a photovoltaic power generation device) associated with the target building can enable each electrical equipment in the target building to ensure that each space in the target building meets the comfort requirements of personnel, the server can obtain the structural information of the target building, the meteorological information at the location of the target building, and the personnel activity information of a reference building corresponding to the target building, and then construct an energy consumption prediction model (an energy consumption simulation model) based on the structural information and the personnel activity information of the reference building. The energy consumption prediction model can generate energy consumption demand information based on the structural information and the personnel activity information. The energy consumption demand information can be used as an energy consumption demand. The server can also determine the total amount of energy generated by the target building (such as the demand value of renewable energy power generation) based on the meteorological information. The total amount of energy generated needs to be greater than or equal to the energy consumption demand information. When the total amount of energy generated is less than the energy consumption demand information, the server can determine that the target building does not meet the design requirements at this time. The server adjusts the structure of the target building and recalculates the energy consumption demand information and the total amount of energy generated until the total amount of energy generated is greater than or equal to the energy consumption demand information. At this time, the server can use the energy consumption demand information that is greater than or equal to the energy consumption prediction information as a preset control target.

[0081] In this embodiment, by acquiring structural information and meteorological information corresponding to the target building; determining energy consumption demand information based on the structural information, the meteorological information and the personnel activity information of a reference building corresponding to the target building; the reference building includes an already built building with the same building type as the target building; determining the preset control target based on the energy consumption demand information, it is possible to accurately analyze the energy consumption demand of the target building in combination with the structural information, meteorological information and the personnel activity information of the reference building, so as to determine an accurate control target based on the energy consumption demand, and provide a data basis for subsequently determining whether to adjust the working status of the electrical equipment according to the equipment operation control strategy, thereby improving the equipment control accuracy of the building.

[0082] In some embodiments, energy consumption demand information is determined based on structural information, meteorological information, and personnel activity information of a reference building corresponding to the target building, including: determining energy generation information corresponding to the target building based on the structural information and meteorological information; the energy generation information represents the amount of energy generated by an energy generation device associated with the target building; adjusting the structural information corresponding to the target building based on the energy generation information to obtain adjusted structural information; and determining energy consumption demand information based on the adjusted structural information, meteorological information, and personnel activity information of the reference building.

[0083] The energy generation information may refer to information characterizing the amount of energy generated by an energy generation device associated with the target building. In practical applications, the energy generation information may include power generation.

[0084] The adjusted structural information may refer to information obtained after adjusting the structural information of the target building.

[0085] As an example, during the design phase of the target building, the server can determine the energy generation amount of the energy generation device associated with the target building based on the meteorological information at the location of the target building and the structural information of the target building (such as first determining the setting method and setting quantity of the energy generation device, and determining the energy generation information that can be used as a total energy generation amount based on the setting method and setting quantity). At this time, the energy generation information may not necessarily ensure that each electrical equipment in the target building guarantees that each space in the target building meets the comfort requirements of the personnel. The server can determine the energy consumption demand based on the structural information and the personnel activity information of the reference building corresponding to the target building. When the energy generation information is greater than or equal to the energy consumption demand, the energy generation information can be used as the energy consumption demand information. When the energy generation information is less than the energy consumption demand, the server can adjust the structural information corresponding to the target building (such as the distribution and quantity of electrical equipment, etc.) to obtain the adjusted structural information. Then, the server can determine the new energy generation information based on the adjusted structural information, meteorological information and the personnel activity information of the reference building until the energy generation information is greater than or equal to the energy consumption demand. The server uses the energy generation information at this time as the energy consumption demand information.

[0086] In this embodiment, the energy generation information corresponding to the target building is determined according to the structural information and meteorological information; the energy generation information represents the energy generation amount of the energy generation device associated with the target building; the structural information corresponding to the target building is adjusted according to the energy generation information to obtain the adjusted structural information; the energy consumption demand information is determined according to the adjusted structural information, meteorological information and personnel activity information of the reference building, and the structural information corresponding to the target building can be reasonably adjusted based on the energy generation information corresponding to the target building, so as to obtain accurate energy consumption demand information by combining the adjusted structural information, meteorological information and personnel activity information of the reference building, thereby improving the accuracy of the energy consumption demand information.

[0087] In some embodiments, the above method also includes: adjusting the energy consumption prediction model corresponding to the target building in the design stage according to the energy consumption information, the environmental information and the personnel activity information, and obtaining the energy consumption prediction model corresponding to the target building in the operation stage; obtaining the energy generation rate information of the energy generation device associated with the target building; and determining the energy consumption prediction information according to the meteorological information, energy generation rate information, environmental information and personnel activity information of the target building within the prediction time period through the energy consumption prediction model corresponding to the target building in the operation stage.

[0088] The energy generation rate information may refer to information characterizing the rate at which the energy generation device generates electrical energy / electricity. In practical applications, the energy generation rate information may include the generated power.

[0089] The predicted time period may refer to a preset time period. In actual applications, the predicted time period may include any time period after the current moment.

[0090] As an example, during the operation stage of the target building, the server can adjust the energy consumption prediction model corresponding to the target building in the design stage according to the energy consumption information, the environmental information and the personnel activity information, and obtain the energy consumption prediction model corresponding to the target building in the operation stage. Then, the server can obtain the energy generation rate information of the energy generation device associated with the target building, and determine the equipment operation control strategy within the prediction time period according to the meteorological information, energy generation rate information of the target building, and the environmental information and personnel activity information of the target building during the actual operation process during the prediction time period. Then, the energy consumption prediction information within the prediction time period is determined according to the equipment operation control strategy within the prediction time period through the energy consumption prediction model corresponding to the target building in the operation stage. When the energy consumption prediction information within the prediction time period meets the preset control target, the server can control the working status of each electrical equipment based on the energy consumption prediction information within the prediction time period.

[0091] In this embodiment, the energy consumption prediction model corresponding to the target building in the design stage is adjusted according to the energy consumption information, the environmental information and the personnel activity information to obtain the energy consumption prediction model corresponding to the target building in the operation stage; the energy generation rate information of the energy generation device associated with the target building is obtained; the energy consumption prediction information is determined according to the meteorological information and the energy generation rate information of the target building in the prediction time period through the energy consumption prediction model corresponding to the target building in the operation stage. The energy consumption prediction model corresponding to the design stage can be adjusted in combination with the actual operation of the target building to obtain the energy consumption prediction model corresponding to the operation stage, and the energy consumption prediction model corresponding to the operation stage can be used to accurately obtain the energy consumption prediction information in the prediction time period based on the meteorological information in the prediction time period and the energy generation rate information during the operation of the target building, so as to determine whether to control the working status of the equipment in the building according to the corresponding equipment control strategy based on the energy consumption prediction information in the prediction time period, thereby improving the accuracy of the equipment control strategy and thus improving the accuracy of equipment control for the building.

[0092] In some embodiments, Figure 2 As shown, a schematic diagram of the process of designing and regulating renewable energy for zero-energy buildings is provided. In the building design stage, the server can construct an eQuest / EneyPlus energy consumption simulation model based on building geometry information, and input meteorological parameters, thermal engineering of envelope structures, equipment operation and personnel information, wherein the equipment operation and personnel information are adjusted and imported based on the feedback of the operation results of the same type of buildings that have been built, so as to obtain the building energy demand through the energy consumption simulation model and output the hourly energy consumption curve of the building. At the same time, the total energy consumption target value of the building is determined according to the hourly energy consumption curve of the building, and the total energy consumption target value of the building can be used to determine the demand for renewable energy power generation. In the building design stage, the server can perform solar irradiation analysis on the roof and facade of the building through building parametric simulation, so as to determine the building photovoltaic layout plan (such as the distribution and number of energy generation devices, etc.) according to the total annual photovoltaic power generation demand. The final photovoltaic layout plan can be used to reversely check the difference between the total energy consumption of the building and the total energy consumption target value of the building.

[0093] In the early stage of building operation, the server can formulate preliminary air-conditioning and lighting operation strategies based on the equipment operation and personnel information in the design stage, and provide guidance on environmental temperature and personnel behavior; in the building operation stage, the electricity meter is used to obtain the power consumption and power consumption data of air-conditioning, lighting and other equipment and upload them to the operation monitoring platform (such as the server) through the gateway, the charging pile operation data is collected and transmitted to the operation monitoring platform through the gateway, the photovoltaic power generation and total power generation data are collected through the collection rod and transmitted to the operation monitoring platform, and the electricity meter is used in the grid-connected cabinet to collect photovoltaic grid-connected power data and transmit it to the operation monitoring platform. At this time, the server can obtain the building energy data; the server can collect the indoor temperature, humidity and carbon dioxide concentration data of different functional spaces of the building or other important environmental indicators for measuring indoor functional spaces through devices such as temperature and humidity sensors and carbon dioxide sensors. At this time, the server can obtain the building operation environment data; the server can obtain the room occupancy rate of personnel in different spaces through personnel infrared monitors or traffic flow detectors and upload them to the monitoring platform, and monitor the power consumption of office equipment (such as computers, projectors, etc.) operated by personnel through electricity meters. At this time, the server can obtain personnel behavior activity data.

[0094] The server can perform statistical analysis and real-time display of building energy data (such as energy consumption information), building operating environment data (such as environmental information) and personnel behavior and activity data (such as personnel activity information). The server can perform cluster analysis based on the hourly energy consumption curves of the main energy-consuming equipment, identify and classify multiple scenarios. For example, for office buildings, the energy consumption patterns in winter and summer, weekdays and holidays are significantly different, and the scenarios can be divided into winter / summer working days and winter / summer holidays. The server can classify and divide the historical energy consumption operation curves of key equipment, and quantitatively describe personnel activities, such as personnel occupancy rate, equipment utilization rate, etc., to facilitate subsequent operation strategy adjustments. For example: The server found through monitoring that charging pile charging behavior generally occurs between 9 and 10 o'clock on weekdays. This period is the peak period of building electricity consumption, while photovoltaic power is still at a low output at this time. The charging time range of charging piles is long, and the owner generally leaves the garage during the off-get off work period. For this type of load, the charging power can be appropriately adjusted according to the building operation needs to weaken the peak power consumption during the morning peak.

[0095] The server can formulate reasonable active equipment control strategies (such as equipment operation control strategies) based on indoor environmental comfort targets and energy consumption targets, combined with time-of-use electricity prices. At the same time, the energy consumption simulation model in the design phase can be adjusted according to the actual situation in the operation phase and then the control strategy can be applied to obtain the building energy consumption forecast results. When the building comfort operation meets the standards, it can be judged whether the building energy consumption forecast results meet the renewable energy consumption and total building energy consumption target values. If not, the strategy will be adjusted again to check whether the building energy consumption forecast results meet the renewable energy consumption and total building energy consumption target values. If the building energy consumption forecast results can meet the renewable energy consumption and total building energy consumption target values, the server will issue control instructions to adjust the working status of the electrical equipment and monitor the operation results. The server can analyze the rationality of the strategy again based on the operation monitoring results, and adjust the building energy consumption simulation model by comparing the prediction results.

[0096] In some embodiments, Figure 3 As shown, a schematic diagram of the process of designing a zero-energy building is provided. The server can simplify the three-dimensional scheme of the target building, obtain the composition and relationship of the facade and roof of the target building, and then establish a three-dimensional model through Rhino software, and use the ladybug module in the grasshopper plug-in to build a calculation program. The calculation program can be repeatedly applied, and the meteorological file of the building location is imported to complete the establishment of the building photovoltaic parameterized model. The server can obtain the solar radiation intensity distribution of the building roof and facade according to the running results of the building photovoltaic parameterized model, and combine the renewable energy power generation demand, use the photovoltaic power generation calculation formula, obtain the photovoltaic installed capacity and select the location with strong solar radiation intensity for arrangement, predict and calculate the photovoltaic power generation throughout the year according to the final arrangement result, check the matching degree between the building's annual energy demand and the supply and demand of production capacity, obtain the hourly power generation curve of the whole year and typical working days, and estimate the renewable energy absorption rate of the zero-energy building in combination with the hourly energy consumption curve of the building, where the renewable energy absorption rate can refer to the ratio of the photovoltaic power generation that can be fully absorbed by the building energy-consuming equipment to the total photovoltaic power generation within a certain period of time. In practical applications, the calculation expression for the total daily photovoltaic power generation can be expressed as:

[0097] .

[0098] Where p is the power generation of building photovoltaic on a certain day, in kWh; I is the total solar radiation received by the plane where the photovoltaic panel is located, in MJ; obtained through the operation results of the building photovoltaic parameterized model; W p is the rated photovoltaic photoelectric conversion efficiency; h is the efficiency of the photovoltaic power generation system.

[0099] In some embodiments, Figure 4As shown, a flow chart of regulating renewable energy in zero-energy buildings is provided. Taking a zero-energy building for office use as an example, the server can obtain personnel activity information, power consumption operation data of electrical equipment such as air conditioners, lighting, office equipment, and charging piles, indoor environmental parameters, and photovoltaic power generation operation data based on building energy data (such as energy consumption information), building operating environment data (such as environmental information), and personnel behavior activity data (such as personnel activity information), and analyze the above-mentioned types of data to determine the active regulation strategy of the equipment with the goal of meeting indoor environment and energy consumption targets. Among them, the environmental goals include the analysis of the spatiotemporal distribution results of the indoor temperature range to determine whether different functional spaces meet the human comfort needs, and the analysis of the indoor carbon dioxide concentration distribution to determine whether the indoor air conditioning and fresh air meet the needs. The spatiotemporal distribution results analysis of the indoor temperature range and the indoor carbon dioxide concentration distribution analysis can be used as the main environmental goals of office buildings; the energy consumption target is obtained by obtaining the energy consumption curve of the main energy-consuming equipment in the office building (air conditioning, lighting, office equipment, charging piles, etc.), and combined with the photovoltaic self-generated and self-used electricity and surplus grid-connected electricity curve for analysis, analyzing the photovoltaic absorption ratio and the net energy consumption of the building, so as to determine the equipment operation and control strategy, among which the photovoltaic absorption ratio can refer to the ratio of photovoltaic power generation that can be fully absorbed by the building energy-consuming equipment within a certain period of time to the total photovoltaic power generation.

[0100] In the specific implementation, the equipment operation control strategy includes adjusting the temperature setting range of air conditioners in different functional spaces, adjusting the start time of the air conditioner system, adjusting the indoor lighting brightness of different spaces, adjusting the use time of office equipment, and adjusting the charging power of charging piles. For example, through monitoring data, it is found that the energy demand is high and the photovoltaic power generation is low during the morning period on summer working days, and the outdoor temperature is below 30℃ at this time. At this time, the air conditioning temperature of spaces such as the lobby and conference room can be appropriately raised to 28℃; and combined with historical data analysis, it is found that office equipment such as laptops are fully charged at the beginning of the working hours, so the power supply to the laptop can be reduced or turned off for a short time. At the same time, the power supply to flexible office equipment can be completed during the night when the electricity price is lower; electric vehicles can be charged for a long time, so the charging power of the charging pile is reduced in the morning period, and the charging pile is charged at noon when there is surplus photovoltaic power generation.

[0101] The server can also adjust the energy consumption simulation model in the design phase according to the equipment, personnel information, ventilation and lighting operation rules in the building operation phase, and apply energy control information to obtain energy consumption forecast results. At the same time, it predicts photovoltaic power generation based on future meteorological parameter forecast data within the forecast time period, so as to predict renewable energy consumption and building energy consumption operation targets. If the target results are met, the monitoring platform (such as the server) will issue a control instruction. If not, the strategy will be adjusted again and then predicted until the target is met. After each electrical equipment responds to the control instruction, the server can analyze and adjust the strategy again based on the operation data of at least 5 working days, and compare the difference between the predicted results and the actual operation results, and appropriately adjust the building energy consumption simulation model to optimize its accuracy.

[0102] In this embodiment, during the building design stage, the energy consumption demand of the building is simulated by simulation software, and the operating rules of energy-consuming equipment and the influence of personnel behavior on photovoltaic absorption are considered at the same time to improve the accuracy of the simulation, which is helpful to more accurately evaluate the energy demand of the building, thereby optimizing the design and improving energy utilization efficiency; during the building operation stage, the energy and environmental data are monitored by Internet of Things technology, personnel behavior is quantitatively described, and multiple building operation scenarios are identified, so as to obtain the energy consumption and environmental parameters of the building in real time, as well as the behavioral habits of personnel, improve the efficiency of operation and maintenance analysis, and provide a basis for subsequent equipment regulation; according to the results of the design stage and the monitoring data of the operation stage, an active regulation strategy for equipment such as air conditioners and lighting is formulated, and the operating status of the equipment can be dynamically adjusted according to the actual situation to reduce the energy demand of the building, improve the photovoltaic self-absorption rate and energy economy; throughout the design and operation process, attention is paid to the matching degree of energy supply and demand to achieve the goal of zero-energy operation of the building, which will help improve the energy utilization efficiency of the building, reduce energy waste, and also help achieve the sustainable development of the building.

[0103] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0104] Based on the same inventive concept, the embodiment of the present application also provides a device for controlling equipment for buildings for implementing the above-mentioned method for controlling equipment for buildings. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more embodiments of the device for controlling equipment for buildings provided below can refer to the limitations of the method for controlling equipment for buildings above, and will not be repeated here.

[0105] In an exemplary embodiment, Figure 5 As shown, a device for controlling equipment in a building is provided, including: an analysis module 502, an acquisition module 504, a determination module 506 and a control module 508, wherein:

[0106] The analysis module 502 is used to perform cluster analysis on the energy consumption information of each electrical device corresponding to the target building to determine at least one energy consumption scenario; the energy consumption scenario represents the energy consumption of each electrical device at different times.

[0107] The acquisition module 504 is used to acquire the environmental information and personnel activity information in each space of the target building under each energy consumption scenario; the personnel activity information represents the personnel distribution and the working status of the electrical equipment in each space at different times.

[0108] The determination module 506 is used to determine the equipment operation control strategy according to the energy consumption information, the environmental information and the personnel activity information.

[0109] The control module 508 is used to control the working state of each electrical device according to the equipment operation control strategy when the energy consumption prediction information of the equipment operation control strategy meets the preset control target; wherein the energy consumption prediction information is obtained by predicting the energy consumption prediction model corresponding to the target building during the design stage.

[0110] In one of the exemplary embodiments, the above-mentioned determination module 506 is also specifically used to determine the environmental comfort conditions based on the energy consumption information, the environmental information and the personnel activity information; with the goal of the environmental information and the personnel activity information satisfying the environmental comfort conditions, determine the equipment operation control strategy based on the energy price information and / or energy distribution information; the energy price information represents the unit price of energy at different times; the energy distribution information represents the energy generation amount of the energy generation device associated with the target building.

[0111] In one of the exemplary embodiments, the above-mentioned determination module 506 is also specifically used to adjust the working state of each electrical device according to the energy price information and / or the energy distribution information to obtain an adjusted working state; the working state includes working time and / or energy consumption rate; and determine the equipment operation control strategy according to the adjusted working state.

[0112] In one of the exemplary embodiments, the above-mentioned device also includes a target acquisition module, which is specifically used to obtain structural information and meteorological information corresponding to the target building; determine energy consumption demand information based on the structural information, the meteorological information and the personnel activity information of a reference building corresponding to the target building; the reference building includes a built building with the same building type as the target building; and determine the preset control target based on the energy consumption demand information.

[0113] In one of the exemplary embodiments, the target acquisition module is further specifically used to determine the energy generation information corresponding to the target building based on the structural information and the meteorological information; the energy generation information represents the energy generation amount of the energy generation device associated with the target building; the structural information corresponding to the target building is adjusted according to the energy generation information to obtain the adjusted structural information; the energy consumption demand information is determined based on the adjusted structural information, the meteorological information and the personnel activity information of the reference building.

[0114] In one of the exemplary embodiments, the above-mentioned device also includes a model adjustment module, which is specifically used to adjust the energy consumption prediction model corresponding to the target building in the design stage according to the energy consumption information, the environmental information and the personnel activity information, and obtain the energy consumption prediction model corresponding to the target building in the operation stage; obtain the energy generation rate information of the energy generation device associated with the target building; and determine the energy consumption prediction information according to the meteorological information and the energy generation rate information of the target building within the prediction time period through the energy consumption prediction model corresponding to the target building in the operation stage.

[0115] Each module in the equipment control device for buildings can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0116] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 6As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as energy consumption information and energy generation information. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for controlling equipment for a building is implemented.

[0117] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0118] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0119] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0120] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0121] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0122] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0123] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0124] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for controlling equipment in a building, characterized in that: The method comprises: Performing cluster analysis on the energy consumption information of each electrical device corresponding to the target building to determine at least one energy consumption scenario; the energy consumption scenario represents the energy consumption of each electrical device at different times; Obtaining environmental information and personnel activity information in each space of the target building under each energy consumption scenario; the personnel activity information represents the distribution of personnel and the working status of electrical equipment in each space at different times; Determining a device operation control strategy based on the energy consumption information, the environmental information, and the personnel activity information; When the energy consumption prediction information of the equipment operation control strategy meets the preset control target, the working state of each electrical equipment is controlled according to the equipment operation control strategy; wherein, the energy consumption prediction information is obtained by predicting the energy consumption prediction model corresponding to the target building in the design stage.

2. The method according to claim 1, characterized in that The determining of the equipment operation control strategy according to the energy consumption information, the environmental information and the personnel activity information includes: Determining environmental comfort conditions based on the energy consumption information, the environmental information, and the personnel activity information; With the goal of ensuring that environmental information and personnel activity information meet the environmental comfort conditions, the equipment operation control strategy is determined based on energy price information and / or energy distribution information; the energy price information represents the unit price of energy at different times; the energy distribution information represents the use of energy generated by the energy generation device associated with the target building.

3. The method according to claim 2, characterized in that Determining the equipment operation control strategy according to the energy price information and / or the energy distribution information includes: Adjust the working state of each electrical device according to the energy price information and / or the energy distribution information to obtain an adjusted working state; the working state includes working time and / or energy consumption rate; The equipment operation control strategy is determined according to the adjusted working state.

4. The method according to claim 1, characterized in that The method further comprises: Acquire structural information and meteorological information corresponding to the target building; Determining energy consumption demand information according to the structural information, the meteorological information, and the personnel activity information of a reference building corresponding to the target building; the reference building includes a built building of the same building type as the target building; The preset control target is determined according to the energy consumption demand information.

5. The method according to claim 4, characterized in that The determining of energy consumption demand information according to the structural information, the meteorological information and the personnel activity information of the reference building corresponding to the target building includes: Determining energy generation information corresponding to the target building according to the structural information and the meteorological information; the energy generation information represents the energy generation amount of the energy generation device associated with the target building; Adjusting the structural information corresponding to the target building according to the energy generation information to obtain adjusted structural information; The energy consumption demand information is determined according to the adjusted structural information, the meteorological information and the personnel activity information of the reference building.

6. The method according to claim 1, characterized in that The method further comprises: According to the energy consumption information, the environmental information and the personnel activity information, an energy consumption prediction model corresponding to the target building in the design phase is adjusted to obtain an energy consumption prediction model corresponding to the target building in the operation phase; Obtaining energy generation rate information of an energy generation device associated with the target building; The energy consumption prediction information is determined by using the energy consumption prediction model corresponding to the target building in the operation stage according to the meteorological information of the target building and the energy generation rate information within the prediction time period.

7. A device for controlling equipment in a building, characterized in that: The device comprises: An analysis module, configured to perform cluster analysis on energy consumption information of each electrical device corresponding to the target building, and determine at least one energy consumption scenario; the energy consumption scenario represents the energy consumption of each electrical device at different times; An acquisition module, used to acquire environmental information and personnel activity information in each space of the target building under each energy consumption scenario; the personnel activity information represents the distribution of personnel and the working status of electrical equipment in each space at different times; A determination module, used to determine a device operation control strategy according to the energy consumption information, the environmental information and the personnel activity information; A control module is used to control the working state of each electrical device according to the equipment operation control strategy when the energy consumption prediction information of the equipment operation control strategy meets the preset control target; wherein the energy consumption prediction information is obtained by predicting the energy consumption prediction model corresponding to the target building during the design stage.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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