A smart building energy management method and device

Abstract

The present invention discloses a smart building energy management method and device, which relates to the field of Internet of Things technology. Environmental data and energy consumption data are obtained; the target scheduling server is determined according to the degree of change of the environmental data; the cloud server adjusts the working state of the target smart building production equipment, energy consumption equipment and energy storage equipment according to the environmental data and energy consumption data to generate a first control scheme; the edge server adjusts the working state of the target smart building energy consumption equipment according to the energy consumption data to generate a second control scheme; the corresponding equipment is adjusted according to the first control scheme or the second control scheme. The target scheduling server is determined according to the degree of change of the environmental data. Complex calculations can be performed by the cloud server to complete the adjustment of the working state of the production equipment, energy consumption equipment and energy storage equipment. Simple calculations can be performed by the edge server to only complete the adjustment of the working state of the energy consumption equipment, thereby realizing accurate and real-time management of building energy.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a smart building energy management method and device. Background Art

[0002] At present, with the development of intelligent residential and office buildings, each building can be equipped with different visualization devices, such as surveillance cameras, induction door cameras, etc. Since some buildings may have more visualization devices, the use of a single power grid will cause these buildings to consume more electricity. With the widespread use of photovoltaic (PV) with energy storage system (ESS) in buildings, it can meet the growing demand for electricity and improve the economic benefits of green power supply.

[0003] Smart buildings manage energy through building automation systems (BAS). Due to the limited computing power of BAS, the addition of photovoltaic (PV) energy storage systems (ESS) to smart buildings makes the real-time energy management calculations huge, making it impossible to accurately manage building energy in real time. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problems of the background technology and to propose a smart building energy management method and device.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A first aspect of an embodiment of the present invention provides a smart building energy management method, which is applied to a smart building central control unit. The method includes:

[0007] Obtain the collected data of the environmental sensors and energy consumption sensors of the target smart building in the current cycle as environmental data and energy consumption data respectively;

[0008] Determining a target scheduling server according to a degree of change of the environmental data in a current period relative to a previous period;

[0009] If the target scheduling server is a cloud server, the environmental data and the energy consumption data are sent to the cloud server; so that the cloud server adjusts the working states of the target smart building energy generation equipment, energy consumption equipment and energy storage equipment according to the environmental data and the energy consumption data to generate a first control scheme;

[0010] If the target scheduling server is an edge server in the target smart building, the energy consumption data is sent to the edge server, so that the edge server adjusts the working state of the energy-consuming equipment in the target smart building according to the energy consumption data to generate a second control scheme;

[0011] The corresponding device is adjusted according to the first control scheme or the second control scheme.

[0012] Optionally, the environmental sensor includes a radiation sensor, a temperature sensor, and a wind speed sensor; acquiring the collected data of the environmental sensor and the energy consumption sensor of the target smart building in the current cycle as the environmental data and the energy consumption data respectively includes:

[0013] Acquire the collected data of each environmental sensor and each energy consumption sensor of the target smart building in the current cycle; the target sensor collects data according to the preset collection cycle, and if the change in the current collection cycle relative to the previous collection cycle is greater than the preset threshold, the collected data is sent to the central control unit of the smart building, otherwise no data transmission is performed; the target sensor is any one of the environmental sensors and energy consumption sensors;

[0014] If the collected data sent by the target sensor is received, the collected data is used as the collected data of the current cycle; otherwise, the collected data of the target sensor in the previous cycle is used as the collected data of the current cycle.

[0015] Optionally, determining the target scheduling server according to the degree of change of the environmental data in the current period relative to the previous period includes:

[0016] Calculate the change of the environmental data in the current cycle relative to the previous cycle:

[0017]

[0018] Wherein, D is the degree of change of the environmental data, a and b are preset parameters, R1 and R0 are the solar radiation values ​​of the current cycle and the previous cycle, F1 and F0 are the wind speeds of the current cycle and the previous cycle, T1 and T0 are the external surface temperatures of the buildings of the current cycle and the previous cycle, respectively;

[0019] If the degree of change is greater than a preset threshold, the target scheduling server is determined to be a cloud server, otherwise the target scheduling server is determined to be an edge server in the target smart building.

[0020] Optionally, the cloud server generates the first control scheme specifically including:

[0021] Predicting the expected power generation of the current cycle capacity equipment based on the environmental data;

[0022] Determine the working mode of the power grid relay and the energy storage device in the current cycle in combination with the estimated power generation and the energy consumption data; the working mode of the power grid relay includes a grid-connected mode and an island mode, the power grid relay is connected to the external power grid when in the grid-connected mode, and is disconnected from the external power grid when in the island mode; the working mode of the energy storage device includes an energy storage mode and a discharge mode;

[0023] The energy supplier of the energy consuming device is determined among the energy generating device, the energy storage device and the external power grid to generate a first control scheme.

[0024] Optionally, the edge server generating the second control scheme specifically includes:

[0025] Keep the working mode of the grid relay and energy storage equipment in the current cycle consistent with that in the previous cycle;

[0026] The energy supplier of the energy consuming device is determined among the energy generating device, the energy storage device and the external power grid to generate a second control scheme.

[0027] A second aspect of an embodiment of the present invention further provides a smart building energy management device, which is applied to a central control unit of a smart building, and the device includes:

[0028] A data acquisition module is used to acquire the collected data of the environmental sensors and energy consumption sensors of the target smart building in the current cycle as environmental data and energy consumption data respectively;

[0029] An energy-saving judgment module, used to determine a target scheduling server according to a degree of change of the environmental data in a current cycle relative to a previous cycle;

[0030] A first data transmission module is used for sending the environmental data and the energy consumption data to the cloud server if the target scheduling server is a cloud server; so that the cloud server adjusts the working states of the target smart building energy generation equipment, energy consumption equipment and energy storage equipment according to the environmental data and the energy consumption data to generate a first control scheme;

[0031] A second data transmission module is used for sending the energy consumption data to the edge server if the target scheduling server is an edge server in the target smart building, so that the edge server adjusts the working state of the energy-consuming equipment of the target smart building according to the energy consumption data to generate a second control scheme;

[0032] An energy management module is used to adjust corresponding equipment according to the first control scheme or the second control scheme.

[0033] Optionally, the environmental sensor includes a radiation sensor, a temperature sensor and a wind speed sensor; and the data acquisition module includes:

[0034] A data receiving module is used to obtain the collected data of each environmental sensor and each energy consumption sensor of the target smart building in the current cycle; the target sensor collects data according to a preset collection cycle, and if the change in the current collection cycle relative to the previous collection cycle is greater than a preset threshold, the collected data is sent to the smart building central control unit, otherwise no data transmission is performed; the target sensor is any one of the environmental sensors and energy consumption sensors;

[0035] The data summary module is used to, if the collected data sent by the target sensor is received, use the collected data as the collected data of the current cycle; otherwise, use the collected data of the previous cycle of the target sensor as the collected data of the current cycle.

[0036] Optionally, the energy-saving judgment module includes:

[0037] The calculation module is used to calculate the change degree of the environmental data in the current cycle relative to the previous cycle:

[0038]

[0039] Wherein, D is the degree of change of the environmental data, a and b are preset parameters, R1 and R0 are the solar radiation values ​​of the current cycle and the previous cycle, F1 and F0 are the wind speeds of the current cycle and the previous cycle, T1 and T0 are the external surface temperatures of the buildings of the current cycle and the previous cycle, respectively;

[0040] The server judgment module is used to determine that the target scheduling server is a cloud server if the degree of change is greater than a preset threshold, otherwise determine that the target scheduling server is an edge server in the target smart building.

[0041] Optionally, the cloud server includes:

[0042] A power generation prediction module, used to predict the expected power generation of the current cycle capacity equipment according to the environmental data;

[0043] The first mode switching module is used to determine the working mode of the power grid relay and the energy storage device in the current cycle in combination with the expected power generation and the energy consumption data; the working mode of the power grid relay includes a grid-connected mode and an island mode, the power grid relay is connected to the external power grid when in the grid-connected mode, and the power grid relay is disconnected from the external power grid when in the island mode; the working mode of the energy storage device includes an energy storage mode and a discharge mode;

[0044] The first planning module is used to determine the energy supplier of the energy consuming equipment among the energy generating equipment, the energy storage equipment and the external power grid to generate a first control plan.

[0045] Optionally, the edge server:

[0046] The second mode switching module is used to keep the working mode of the grid relay and the energy storage device in the current cycle consistent with that in the previous cycle;

[0047] The second planning module is used to determine the energy supplier of the energy consuming equipment among the energy generating equipment, the energy storage equipment and the external power grid to generate a second control plan.

[0048] Beneficial effects of the present invention:

[0049] The embodiment of the present invention provides a smart building energy management method, which is applied to the central control unit of the smart building. The method includes: obtaining the collected data of the environmental sensor and the energy consumption sensor of the target smart building in the current cycle as the environmental data and the energy consumption data respectively; determining the target scheduling server according to the change degree of the environmental data of the current cycle relative to the previous cycle; if the target scheduling server is a cloud server, sending the environmental data and the energy consumption data to the cloud server; so that the cloud server adjusts the working state of the target smart building power generation equipment, energy consumption equipment and energy storage equipment according to the environmental data and the energy consumption data to generate a first control scheme; if the target scheduling server is an edge server in the target smart building; sending the energy consumption data to the edge server; so that the edge server adjusts the working state of the target smart building energy consumption equipment according to the energy consumption data to generate a second control scheme; adjusting the corresponding equipment according to the first control scheme or the second control scheme. The target scheduling server is determined according to the change degree of the environmental data, and the complex calculation can be performed by the cloud server to complete the adjustment of the working state of the power generation equipment, energy consumption equipment and energy storage equipment. The simple calculation can be performed by the edge server to complete the adjustment of the working state of the energy consumption equipment, thereby realizing accurate and real-time management of building energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention will be further described below in conjunction with the accompanying drawings.

[0051] Figure 1 A flowchart of a smart building energy management method provided by an embodiment of the present invention;

[0052] Figure 2 A structural diagram of a smart building energy management device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] The embodiment of the present invention provides a smart building energy management method. Figure 1 , Figure 1 A flowchart of a smart building energy management method provided by an embodiment of the present invention. The method is applied to a smart building central control unit, and the method includes:

[0055] S1, obtaining the collected data of the environmental sensors and energy consumption sensors of the target smart building in the current cycle as environmental data and energy consumption data respectively;

[0056] S2, determining the target scheduling server according to the degree of change of the environmental data of the current cycle relative to the previous cycle;

[0057] S3, if the target dispatching server is a cloud server, sending environmental data and energy consumption data to the cloud server; so that the cloud server adjusts the working state of the target smart building production equipment, energy consumption equipment and energy storage equipment according to the environmental data and energy consumption data to generate a first control plan;

[0058] S4, if the target scheduling server is an edge server in the target smart building; then send the energy consumption data to the edge server; so that the edge server adjusts the working state of the energy-consuming equipment in the target smart building according to the energy consumption data to generate a second control scheme;

[0059] S5, adjusting the corresponding device according to the first control scheme or the second control scheme.

[0060] An intelligent building energy management method provided by an embodiment of the present invention determines the target scheduling server according to the degree of change of environmental data. Complex calculations can be performed by cloud servers to complete the adjustment of the working states of production equipment, energy-consuming equipment and energy storage equipment. Simple calculations can be performed by edge servers to only complete the adjustment of the working states of energy-consuming equipment, thereby realizing accurate real-time management of building energy.

[0061] In one implementation, computing on a cloud server can solve the problem of insufficient BAS computing power, but the process of uploading environmental data and energy consumption data also consumes energy, which may increase the energy consumption of smart buildings. The computing tasks can be divided into complex tasks and simple tasks through the degree of change. The cloud server and edge server can perform complex tasks and simple tasks respectively, which can reduce unnecessary transmission energy consumption.

[0062] In one embodiment, the environmental sensor includes a radiation sensor, a temperature sensor, and a wind speed sensor; acquiring the collected data of the environmental sensor and the energy consumption sensor of the target smart building in the current cycle as environmental data and energy consumption data respectively includes:

[0063] Acquire the collected data of each environmental sensor and each energy consumption sensor of the target smart building in the current cycle; the target sensor collects data according to the preset collection cycle, and if the change in the current collection cycle relative to the previous collection cycle is greater than the preset threshold, the collected data is sent to the smart building central control unit, otherwise no data transmission is performed; the target sensor is any one of the environmental sensors and energy consumption sensors;

[0064] If the collected data sent by the target sensor is received, the collected data is used as the collected data of the current cycle, otherwise the collected data of the target sensor in the previous cycle is used as the collected data of the current cycle.

[0065] In one implementation, when the target sensor collects data, if the data change between the current cycle and the previous cycle is small, data transmission may not be performed, which can greatly reduce the energy consumption of the sensor.

[0066] In one embodiment, determining the target scheduling server according to the degree of change of the environmental data of the current cycle relative to the previous cycle includes:

[0067] Calculate the change of the environmental data of the current cycle relative to the previous cycle:

[0068]

[0069] Where D is the degree of change of environmental data, a and b are preset parameters, R1 and R0 are the solar radiation values ​​of the current cycle and the previous cycle, F1 and F0 are the wind speeds of the current cycle and the previous cycle, T1 and T0 are the external surface temperatures of the buildings of the current cycle and the previous cycle, respectively.

[0070] If the degree of change is greater than a preset threshold, the target scheduling server is determined to be a cloud server, otherwise the target scheduling server is determined to be an edge server in the target smart building.

[0071] In one implementation, the degree of change in environmental data is used to evaluate the power supply change of the photovoltaic (PV) system. If the degree of change is large, the power supply ratio of the energy generation equipment, energy storage equipment and external power grid is required to redefine the power supply mode of each energy-consuming device.

[0072] In one embodiment, the cloud server generates the first control scheme including:

[0073] Predict the expected power generation of the current cycle capacity equipment based on environmental data;

[0074] Determine the working mode of the grid relay and energy storage device in the current cycle in combination with the expected power generation and energy consumption data; the working mode of the grid relay includes the grid-connected mode and the island mode. When the grid relay is in the grid-connected mode, it is connected to the external grid. When the grid relay is in the island mode, it is disconnected from the external grid. The working mode of the energy storage device includes the energy storage mode and the discharge mode.

[0075] An energy supplier of an energy consuming device is determined among the energy generating device, the energy storage device and the external power grid to generate a first control scheme.

[0076] In one embodiment, the edge server generates the second control solution including:

[0077] Keep the working mode of the grid relay and energy storage equipment in the current cycle consistent with that in the previous cycle;

[0078] An energy supplier of an energy consuming device is determined among the energy generating device, the energy storage device and the external power grid to generate a second control scheme.

[0079] Based on the same inventive concept, the embodiment of the present invention also provides a smart building energy management device. Figure 2 , Figure 2 A structural diagram of a smart building energy management device provided by an embodiment of the present invention. A smart building energy management device, characterized in that it is applied to a smart building central control unit, and the device includes:

[0080] A data acquisition module is used to acquire the collected data of the environmental sensors and energy consumption sensors of the target smart building in the current cycle as environmental data and energy consumption data respectively;

[0081] The energy-saving judgment module is used to determine the target scheduling server according to the change degree of the environmental data of the current cycle relative to the previous cycle;

[0082] A first data transmission module is used to send environmental data and energy consumption data to the cloud server if the target scheduling server is a cloud server; so that the cloud server can adjust the working state of the target smart building production equipment, energy consumption equipment and energy storage equipment according to the environmental data and energy consumption data to generate a first control plan;

[0083] The second data transmission module is used to send energy consumption data to the edge server if the target scheduling server is an edge server in the target smart building, so that the edge server adjusts the working state of the energy-consuming equipment in the target smart building according to the energy consumption data to generate a second control scheme;

[0084] The energy management module is used to adjust the corresponding equipment according to the first control scheme or the second control scheme.

[0085] An intelligent building energy management device provided by an embodiment of the present invention determines a target scheduling server according to the degree of change of environmental data. Complex calculations can be performed by a cloud server to complete the adjustment of the working status of production equipment, energy-consuming equipment and energy storage equipment. Simple calculations can be performed by an edge server to only complete the adjustment of the working status of energy-consuming equipment, thereby realizing accurate real-time management of building energy.

[0086] In one embodiment, the environmental sensor includes a radiation sensor, a temperature sensor and a wind speed sensor; the data acquisition module includes:

[0087] The data receiving module is used to obtain the collected data of each environmental sensor and each energy consumption sensor of the target smart building in the current cycle; the target sensor collects data according to the preset collection cycle, and if the change in the current collection cycle relative to the previous collection cycle is greater than the preset threshold, the collected data is sent to the smart building central control unit, otherwise no data transmission is performed; the target sensor is any one of the environmental sensors and energy consumption sensors;

[0088] The data summary module is used to take the collected data sent by the target sensor as the collected data of the current cycle if the collected data is received, otherwise take the collected data of the target sensor in the previous cycle as the collected data of the current cycle.

[0089] In one embodiment, the energy saving determination module includes:

[0090] The calculation module is used to calculate the change of the environmental data of the current cycle relative to the previous cycle:

[0091]

[0092] Where D is the degree of change of environmental data, a and b are preset parameters, R1 and R0 are the solar radiation values ​​of the current cycle and the previous cycle, F1 and F0 are the wind speeds of the current cycle and the previous cycle, T1 and T0 are the external surface temperatures of the buildings of the current cycle and the previous cycle, respectively.

[0093] The server judgment module is used to determine that the target scheduling server is a cloud server if the degree of change is greater than a preset threshold, otherwise the target scheduling server is determined to be an edge server in the target smart building.

[0094] In one embodiment, the cloud server includes:

[0095] The power generation prediction module is used to predict the expected power generation of the current cycle capacity equipment based on environmental data;

[0096] The first mode switching module is used to determine the working mode of the power grid relay and the energy storage device in the current cycle in combination with the expected power generation and energy consumption data; the working mode of the power grid relay includes the grid-connected mode and the island mode, the power grid relay is connected to the external power grid when in the grid-connected mode, and the external power grid is disconnected when in the island mode; the working mode of the energy storage device includes the energy storage mode and the discharge mode;

[0097] The first planning module is used to determine the energy supplier of the energy-consuming equipment among the energy-generating equipment, the energy storage equipment and the external power grid to generate a first control plan.

[0098] In one embodiment, the edge server includes:

[0099] The second mode switching module is used to keep the working mode of the grid relay and the energy storage device in the current cycle consistent with that in the previous cycle;

[0100] The second planning module is used to determine the energy supplier of the energy-consuming equipment among the energy-generating equipment, the energy storage equipment and the external power grid to generate a second control plan.

[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 computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-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 to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk Solid State Disk (SSD)), etc.

[0102] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0103] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0104] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A smart building energy management method, characterized in that: Applied to the central control unit of a smart building, the method comprises: Obtain the collected data of the environmental sensors and energy consumption sensors of the target smart building in the current cycle as environmental data and energy consumption data respectively; Determining a target scheduling server according to a degree of change of the environmental data in a current period relative to a previous period; If the target scheduling server is a cloud server, the environmental data and the energy consumption data are sent to the cloud server; so that the cloud server adjusts the working states of the target smart building energy generation equipment, energy consumption equipment and energy storage equipment according to the environmental data and the energy consumption data to generate a first control scheme; If the target scheduling server is an edge server in the target smart building, the energy consumption data is sent to the edge server, so that the edge server adjusts the working state of the energy-consuming equipment in the target smart building according to the energy consumption data to generate a second control scheme; Adjusting corresponding equipment according to the first control scheme or the second control scheme; Environmental sensors include radiation sensors, temperature sensors, and wind speed sensors. The collected data of environmental sensors and energy consumption sensors of the target smart building in the current cycle are obtained as environmental data and energy consumption data, respectively, including: Acquire the collected data of each environmental sensor and each energy consumption sensor of the target smart building in the current cycle; the target sensor collects data according to the preset collection cycle, and if the change in the current collection cycle relative to the previous collection cycle is greater than the preset threshold, the collected data is sent to the central control unit of the smart building, otherwise no data transmission is performed; the target sensor is any one of the environmental sensors and energy consumption sensors; If the collected data sent by the target sensor is received, the collected data is used as the collected data of the current cycle; otherwise, the collected data of the target sensor in the previous cycle is used as the collected data of the current cycle; Determining the target scheduling server according to the degree of change of the environmental data in the current cycle relative to the previous cycle includes: Calculate the change of the environmental data in the current cycle relative to the previous cycle: Wherein, D is the degree of change of the environmental data, a and b are preset parameters, R1 and R0 are the solar radiation values ​​of the current cycle and the previous cycle, F1 and F0 are the wind speeds of the current cycle and the previous cycle, T1 and T0 are the external surface temperatures of the buildings of the current cycle and the previous cycle, respectively; If the degree of change is greater than a preset threshold, the target scheduling server is determined to be a cloud server, otherwise the target scheduling server is determined to be an edge server in the target smart building.

2. The smart building energy management method according to claim 1, characterized in that: The cloud server generating the first control scheme specifically includes: Predicting the expected power generation of the current cycle capacity equipment based on the environmental data; Determine the working mode of the power grid relay and the energy storage device in the current cycle in combination with the estimated power generation and the energy consumption data; the working mode of the power grid relay includes a grid-connected mode and an island mode, the power grid relay is connected to the external power grid when in the grid-connected mode, and is disconnected from the external power grid when in the island mode; the working mode of the energy storage device includes an energy storage mode and a discharge mode; The energy supplier of the energy consuming device is determined among the energy generating device, the energy storage device and the external power grid to generate a first control scheme.

3. The smart building energy management method according to claim 2, characterized in that: The edge server generating the second control scheme specifically includes: Keep the working mode of the grid relay and energy storage equipment in the current cycle consistent with that in the previous cycle; The energy supplier of the energy consuming device is determined among the energy generating device, the energy storage device and the external power grid to generate a second control scheme.

4. A smart building energy management device, characterized in that: Applied to the central control unit of a smart building, the device comprises: A data acquisition module is used to acquire the collected data of the environmental sensors and energy consumption sensors of the target smart building in the current cycle as environmental data and energy consumption data respectively; An energy-saving judgment module, used to determine a target scheduling server according to a degree of change of the environmental data in a current cycle relative to a previous cycle; A first data transmission module is used for sending the environmental data and the energy consumption data to the cloud server if the target scheduling server is a cloud server; so that the cloud server adjusts the working states of the target smart building energy generation equipment, energy consumption equipment and energy storage equipment according to the environmental data and the energy consumption data to generate a first control scheme; A second data transmission module is used for sending the energy consumption data to the edge server if the target scheduling server is an edge server in the target smart building, so that the edge server adjusts the working state of the energy-consuming equipment of the target smart building according to the energy consumption data to generate a second control scheme; An energy management module, configured to adjust corresponding equipment according to the first control scheme or the second control scheme; The environmental sensors include radiation sensors, temperature sensors and wind speed sensors; the data acquisition module includes: A data receiving module is used to obtain the collected data of each environmental sensor and each energy consumption sensor of the target smart building in the current cycle; the target sensor collects data according to a preset collection cycle, and if the change in the current collection cycle relative to the previous collection cycle is greater than a preset threshold, the collected data is sent to the smart building central control unit, otherwise no data transmission is performed; the target sensor is any one of the environmental sensors and energy consumption sensors; A data aggregation module, for, if the collected data sent by the target sensor is received, using the collected data as the collected data of the current cycle, otherwise using the collected data of the previous cycle of the target sensor as the collected data of the current cycle; The energy-saving judgment module includes: The calculation module is used to calculate the change degree of the environmental data in the current cycle relative to the previous cycle: Wherein, D is the degree of change of the environmental data, a and b are preset parameters, R1 and R0 are the solar radiation values ​​of the current cycle and the previous cycle, F1 and F0 are the wind speeds of the current cycle and the previous cycle, T1 and T0 are the external surface temperatures of the buildings of the current cycle and the previous cycle, respectively; The server judgment module is used to determine that the target scheduling server is a cloud server if the degree of change is greater than a preset threshold, otherwise determine that the target scheduling server is an edge server in the target smart building.

5. The smart building energy management device according to claim 4, characterized in that: The cloud server includes: A power generation prediction module, used to predict the expected power generation of the current cycle capacity equipment according to the environmental data; The first mode switching module is used to determine the working mode of the power grid relay and the energy storage device in the current cycle in combination with the expected power generation and the energy consumption data; the working mode of the power grid relay includes a grid-connected mode and an island mode, the power grid relay is connected to the external power grid when in the grid-connected mode, and the power grid relay is disconnected from the external power grid when in the island mode; the working mode of the energy storage device includes an energy storage mode and a discharge mode; The first planning module is used to determine the energy supplier of the energy consuming equipment among the energy generating equipment, the energy storage equipment and the external power grid to generate a first control plan.

6. The smart building energy management device according to claim 5, characterized in that: The edge server: The second mode switching module is used to keep the working mode of the grid relay and the energy storage device in the current cycle consistent with that in the previous cycle; The second planning module is used to determine the energy supplier of the energy consuming equipment among the energy generating equipment, the energy storage equipment and the external power grid to generate a second control plan.

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