Virtual building energy allocation system based on data management

Abstract

The invention discloses a virtual building energy allocation system based on data management, which belongs to the technical field of energy allocation and comprises a model construction module, a parameter acquisition module, a decision analysis module, a green energy acquisition module and an energy allocation module. According to the invention, the electricity consumption is distributed for each electricity consumption area according to the electricity consumption plan of the building, the electricity consumption information, the environment information and the equipment working information in each electricity consumption area are comprehensively analyzed to generate the evaluation value so as to judge whether the electricity consumption demand of each electricity consumption area is abnormal or not, and when the abnormality occurs, the evaluation value is judged to be abnormal. According to the invention, whether the power consumption is excessive or insufficient can be judged, so that a corresponding allocation instruction is generated to correspondingly adjust the distributed power consumption, the electric energy can be redistributed in time according to the power consumption condition of each region, the excessive electric energy in the region with small power consumption demand is avoided, and the power consumption is reduced. And therefore, the power supply balance of the building can be ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy allocation, and in particular relates to a virtual building energy allocation system based on data management. Background Art

[0002] A virtual building refers to a digital building model constructed using computer technology and three-dimensional modeling technology. It simulates actual or imaginary buildings in a virtual environment. Through simulation, various parameters, operating conditions and other information in the actual building can be digitally displayed, so that managers can intuitively judge the operating conditions of the actual building based on the information obtained, so as to facilitate the management and monitoring of the building.

[0003] When allocating energy to a building, it is usually purchased from the local power grid, and then the power distribution system inside the building is used to uniformly distribute the power according to the power demand of different areas in the building. However, due to environmental factors, regional power consumption frequency, etc., the daily power demand of each area is different. In actual use, it is easy to have excess power in areas with small power demand, while areas with large power demand have insufficient power, thus affecting the power supply balance of the building. Summary of the invention

[0004] The purpose of the present invention is to provide a virtual building energy allocation system based on data management to solve the problems faced in the above-mentioned background technology.

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

[0006] A virtual building energy allocation system based on data management, the system comprising:

[0007] A model building module, wherein the model building module is used to build a simulation model identical to the actual building according to the configuration structure of the actual building, and display relevant parameter information of the actual building on the simulation model;

[0008] A parameter collection module, which is used to collect and store relevant parameter information displayed on the simulation model;

[0009] A decision analysis module, which divides the building into multiple power consumption areas according to the regional planning of the building, allocates power consumption to each power consumption area, and performs a comprehensive analysis on the collected parameter information to determine whether the power demand of each power consumption area is abnormal, and generates a dispatch instruction when the power demand is abnormal;

[0010] A green energy acquisition module, the green energy acquisition module is used to acquire stored electric energy generated by a renewable energy system in the building;

[0011] An energy allocation module is used to adjust the allocated power consumption of each power consumption area according to the generated allocation instruction.

[0012] Furthermore, the parameter information includes power consumption information, environmental information and equipment operation information, and the environmental information includes the average wind speed of the day. , the average temperature of the day and the average humidity for the day The device working information includes the number of devices turned on and the working power of each turned-on device.

[0013] Furthermore, the decision analysis module determines whether the power demand of each power consumption area is abnormal by:

[0014] Every once in a while , obtain the power consumption of each power consumption area, and then draw up the power consumption curve of each power consumption area over time ;

[0015] By formula Get the evaluation value ;

[0016] The evaluation value obtained The range of the evaluation threshold preset by the system Make a comparison;

[0017] when When the power demand in the power consumption area is abnormal, it is judged that the power demand in the power consumption area is abnormal, and a dispatch instruction is generated;

[0018] in, For The historical power consumption curve preset by the system in the time period changes with time. For The maximum power consumption in a time period. For The minimum power consumption in the time period, For Time period The maximum value of Preset the system for the next The historical electricity consumption curve of the time period changes with time, , , as well as is the proportionality coefficient, Environmental impact value, for The start time of the time period, for The end time of the time period, , as well as are their respective reference values.

[0019] Furthermore, the environmental impact value The method to obtain is:

[0020] By formula Determine the environmental impact value;

[0021] in , , as well as is the proportionality coefficient, Preset standard wind speed for the system, Preset standard temperature for the system, The preset standard humidity for the system, n is the total number of devices turned on, is the operating power of the i-th enabled device, and .

[0022] Further, the deployment instructions include an increase instruction and a decrease instruction;

[0023] when When , a lowering instruction is generated;

[0024] when When , a height adjustment instruction is generated.

[0025] Furthermore, the method in which the energy allocation module adjusts the allocated power consumption of each power consumption area according to the generated allocation instruction is:

[0026] When a reduction instruction is generated, the formula Adjust the allocated power consumption for the next time period to ;

[0027] When generating a height adjustment instruction, the formula Adjust the allocated power consumption for the next time period to ;

[0028] in, Allocate power usage for the current preset, is the power conversion coefficient, The maximum power consumption that the system is allowed to reduce is The maximum power usage that the system is allowed to increase.

[0029] Furthermore, the energy allocation module is also used to allocate the stored electric energy according to the evaluation values ​​of each power consumption area, and the allocation method is:

[0030] In the preset period, the preset period contains indivual Time period, so as to obtain the evaluation value of the power consumption area in each time period ;

[0031] By formula Obtain the power consumption stability value of each power consumption area , ;

[0032] The stored electric energy will be allocated in priority from large to small according to the power consumption stability value of each power consumption area;

[0033] Among them, u is the preset period The number of time periods, and , .

[0034] Beneficial effects of the present invention:

[0035] The present invention allocates electricity consumption to each electricity consumption area according to the electricity consumption plan of the building, generates an evaluation value by comprehensively analyzing the electricity consumption information, environmental information and equipment working information in each electricity consumption area, and judges whether the electricity demand of each electricity consumption area is abnormal according to the size of the evaluation value. When an abnormality occurs, it can be judged whether there is excess electricity or insufficient electricity, thereby generating corresponding allocation instructions to adjust the allocated electricity consumption accordingly. In this way, electric energy can be reallocated in time according to the electricity consumption situation of each area, avoiding the phenomenon of excess electricity in areas with small electricity demand and insufficient electricity in areas with large electricity demand, so as to timely manage the allocated electricity consumption according to data parameters, thereby ensuring the power supply balance of the building.

[0036] The system of the present invention is also provided with a green energy acquisition module to provide auxiliary power supply to the building, which can be more green and environmentally friendly, and the power stability of each area can be judged according to the evaluation value of each power consumption area. In this way, the stored electric energy generated by green energy can be preferentially allocated to the power consumption areas with poor power consumption stability to ensure normal power consumption in the building.

[0037] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0039] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0040] 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.

[0041] In one embodiment, a virtual building energy allocation system based on data governance is disclosed, such as Figure 1 As shown, the energy dispatching system includes:

[0042] Model building module: The model building module is used to build a simulation model that is identical to the actual building according to the configuration of the actual building, and display the relevant parameter information of the actual building on the simulation model. The parameter information includes power consumption information, environmental information, and equipment working information. The environmental information includes the average wind speed of the day. , the average temperature of the day and the average humidity for the day ,The equipment working information includes the number of equipment turned on and the working power of each turned on equipment;

[0043] A parameter collection module, which is used to collect and store relevant parameter information displayed on the simulation model;

[0044] Decision analysis module: The decision analysis module divides the building into multiple power consumption areas according to the regional planning of the building, allocates power consumption to each power consumption area, and conducts comprehensive analysis on the collected relevant parameter information to determine whether the power demand of each power consumption area is abnormal, and generates allocation instructions when the power demand is abnormal;

[0045] A green energy acquisition module, the green energy acquisition module is used to acquire stored electric energy generated by a renewable energy system in the building;

[0046] The energy allocation module adjusts the allocated power consumption of each power consumption area according to the generated allocation instructions.

[0047] Through the above technical scheme, the present application displays various parameter information of the actual building on the virtual model for easy management, and at the same time allocates power consumption to each power consumption area according to the power consumption plan of the building, and generates an evaluation value by comprehensively analyzing the power consumption information, environmental information and equipment working information in each power consumption area, and judges whether the power demand of each power consumption area is abnormal according to the size of the evaluation value. When an abnormality occurs, it can be judged whether it is an excess of electricity or insufficient electricity, so as to generate corresponding allocation instructions to adjust the allocated power consumption accordingly, so that the power can be redistributed in time according to the power consumption of each area, avoiding the phenomenon of excess power in areas with small power demand and insufficient power in areas with large power demand, thereby ensuring the power supply balance of the building; at the same time, the present application is also provided with a green energy acquisition module to assist the building in power supply, which can be more green and environmentally friendly, and judge the power stability of each area according to the evaluation value of each power consumption area, so that the stored power generated by green energy can be preferentially allocated to the power consumption area with poor power stability, so as to ensure normal power consumption in the building.

[0048] As an implementation mode of the present invention, the method for the decision analysis module to determine whether the power demand of each power consumption area is abnormal is:

[0049] Every once in a while , obtain the power consumption of each power consumption area, and then draw up the power consumption curve of each power consumption area over time ;

[0050] By formula Get the evaluation value ;

[0051] The evaluation value obtained The range of the evaluation threshold preset by the system Make a comparison;

[0052] when When the power demand in the power consumption area is abnormal, it is judged that the power demand in the power consumption area is abnormal, and a dispatch instruction is generated;

[0053] in, For The historical power consumption curve preset by the system in the time period changes with time. For The maximum power consumption in a time period. For The minimum power consumption in the time period, For Time period The maximum value of Preset the system for the next The historical electricity consumption curve of the time period changes with time, , , as well as is the proportionality coefficient, Environmental impact value, for The start time of the time period, for The end time of the time period, , as well as are their respective reference values.

[0054] Through the above technical solution, this embodiment provides a specific method for the decision analysis module to determine whether the power demand of each power consumption area is abnormal, specifically through the formula Get the evaluation value , and then judge according to the size of the evaluation value, the formula Can show the current The difference between the power consumption in a time period and the historical power consumption preset by the system. The larger the value, the greater the power demand in this time period. Formula It can express the difference between the maximum power consumption and the minimum power consumption in the current time period. The larger the value, the greater the power demand in this time period. Formula It indicates the maximum slope change in the current time period. If its value is larger, it means that the power consumption change is greater, which means that the power demand is greater. The formula It indicates the expected power consumption in the next stage. The larger the value, the greater the power demand. Therefore, in order to make the data more accurate, the formula A comprehensive analysis is performed to obtain the evaluation value. The amount of electricity consumption is not only related to electricity consumption but also to environmental factors or equipment operation conditions. For example, temperature changes will affect electricity consumption, and different equipment operating powers will also affect electricity consumption. Therefore, the environmental impact value is incorporated to make the evaluation value more accurate, which is convenient for subsequent judgments. After obtaining the evaluation value, the obtained evaluation value The range of the evaluation threshold preset by the system Compare: When When the power demand in the power consumption area is judged to be abnormal, an allocation instruction is generated, and the allocated power consumption is adjusted in time in the next time period to ensure power balance.

[0055] In the above technical solution, The historical power consumption curve preset by the system in the time period changes with time 、The system presets the next The historical electricity consumption curve of the time period Can be formulated based on historical data, and their respective reference values , as well as It can be determined based on experimental data and empirical data to play the role of removing parameters, and the proportionality coefficient , , , And the system preset evaluation threshold range It is obtained based on empirical data and will not be described in detail here.

[0056] As an embodiment of the present invention, the environmental impact value The method to obtain is:

[0057] By formula Determine the environmental impact value;

[0058] in , , as well as is the proportionality coefficient, Preset standard wind speed for the system, Preset standard temperature for the system, The preset standard humidity for the system, n is the total number of devices turned on, is the operating power of the i-th enabled device, and .

[0059] Through the above technical solution, this implementation provides a method for obtaining environmental impact value, specifically through The environmental impact value is obtained, where , , it can be seen from the formula that when , , The smaller the value, the smaller the gap between the actual wind speed, humidity, and temperature and the standard wind speed, humidity, and temperature, which means the smaller the impact on power consumption. Similarly, when the number of devices turned on is smaller and the total power is smaller, the impact on power consumption is smaller. Therefore, a comprehensive analysis is conducted to obtain the environmental impact value for subsequent judgment.

[0060] In the above technical solution, the system presets the standard temperature , Standard wind speed , Standard humidity And the proportionality factor , All of these can be obtained based on empirical data and will not be described in detail here.

[0061] As an implementation mode of the present invention, the deployment instruction includes an increase instruction and a decrease instruction;

[0062] when When , a lowering instruction is generated;

[0063] when When , a height adjustment instruction is generated;

[0064] The method by which the energy allocation module adjusts the allocated power consumption of each power consumption area according to the generated allocation instruction is as follows:

[0065] When a reduction instruction is generated, the formula Adjust the allocated power consumption for the next time period to ;

[0066] When generating a height adjustment instruction, the formula Adjust the allocated power consumption for the next time period to ;

[0067] in, Allocate power usage for the current preset, is the power conversion coefficient, The maximum power consumption that the system is allowed to reduce is The maximum power usage that the system is allowed to increase.

[0068] Through the above technical solution, this embodiment provides a specific method for the energy allocation module to adjust the allocated power consumption of each power consumption area according to the generated allocation instruction. After the allocation instruction is generated, it is not known whether the power consumption of the power consumption area is excessive or insufficient. Therefore, in order to clearly understand the situation of the power consumption area, the allocation instruction is divided into an increase instruction and a decrease instruction. When , it means that the power consumption in the power consumption area is good and the power is sufficient, which means that not too much power is needed at this time. At this time, a reduction instruction is generated, and the formula is used. Adjust the allocated power consumption for the next time period to , it can be seen from the formula that when the evaluation value The smaller the value, the greater the corresponding reduction. In order to ensure the normal power consumption of the area, the allocated power consumption cannot be reduced indefinitely. Therefore, a maximum power consumption reduction allowed by the system is set to limit the normal power consumption of the power consumption area. Similarly, when When , it means that the power demand is large at this time. In order to ensure the power demand, a power increase instruction is generated. Adjust the allocated power consumption for the next time period to , it can be seen from the formula that when the evaluation value The larger the value, the more electricity will be needed in the next stage, and the more allocated electricity will be needed. However, the allocated electricity cannot be increased indefinitely, so a maximum electricity consumption that the system allows is set to limit the increase to ensure the normal operation of the system. In this way, the allocated electricity consumption of each area can be adjusted according to the generated allocation instructions to ensure power supply balance.

[0069] In the above technical solution, the power conversion coefficient set by the system is 、The maximum power consumption that the system allows to reduce , The maximum power consumption that the system allows to be increased All of these can be determined based on historical experience data, so I will not elaborate on them here.

[0070] As an implementation mode of the present invention, the energy allocation module is also used to allocate the stored electric energy according to the evaluation value of each power consumption area, and the allocation method is:

[0071] In the preset period, the preset period contains indivual Time period, so as to obtain the evaluation value of the power consumption area in each time period ;

[0072] By formula Obtain the power consumption stability value of each power consumption area , ;

[0073] The stored electric energy will be allocated in priority from large to small according to the power consumption stability value of each power consumption area;

[0074] Among them, u is the preset period The number of time periods, and , .

[0075] Through the above technical solution, this embodiment provides a specific method for the energy allocation module to allocate the stored electric energy according to the evaluation value of each power consumption area. Since this system uses the green energy acquisition module to provide auxiliary power supply to the building to ensure normal power consumption, but the power of the auxiliary power supply cannot meet the power consumption of the entire building, in order to make full use of the electric energy generated by green energy, this embodiment is within a preset period, and the preset period can be determined manually, and the preset period contains indivual Time period, so as to obtain the evaluation value of the power consumption area in each time period , through the formula Obtain the power consumption stability value of each power consumption area , and then the stored electric energy is allocated in priority from large to small according to the size of the power consumption stability value of each power consumption area; formula It can represent the difference between different time periods in the power consumption area. The smaller the value, the smaller the overall fluctuation, which means the better the power consumption stability. The formula It means that within the preset cycle, the time period when the increase instruction appears exceeds the threshold. The larger the value, the worse the power consumption situation is. Conversely, the smaller the value, the better the power consumption situation is. Therefore, according to the size of the power stability value of each power consumption area, each power consumption area is sorted from large to small. The higher the ranking, the worse the power stability of the power consumption area. The stored electric energy generated by green energy will be preferentially allocated to the power consumption area with poor power stability to ensure normal power consumption in the building.

[0076] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A virtual building energy allocation system based on data management, characterized in that: The system comprises: A model building module, wherein the model building module is used to build a simulation model identical to the actual building according to the configuration structure of the actual building, and display relevant parameter information of the actual building on the simulation model; A parameter collection module, which is used to collect and store relevant parameter information displayed on the simulation model; A decision analysis module, which divides the building into multiple power consumption areas according to the regional planning of the building, allocates power consumption to each power consumption area, and performs a comprehensive analysis on the collected parameter information to determine whether the power demand of each power consumption area is abnormal, and generates a dispatch instruction when the power demand is abnormal; A green energy acquisition module, the green energy acquisition module is used to acquire stored electric energy generated by a renewable energy system in the building; An energy allocation module is used to adjust the allocated power consumption of each power consumption area according to the generated allocation instruction.

2. According to the data management-based virtual building energy allocation system of claim 1, it is characterized in that: The parameter information includes power consumption information, environmental information and equipment operation information. The environmental information includes the average wind speed of the day. , the average temperature of the day and the average humidity for the day The device working information includes the number of devices turned on and the working power of each turned-on device.

3. According to the data management-based virtual building energy allocation system of claim 2, it is characterized in that: The method for the decision analysis module to determine whether the power demand of each power consumption area is abnormal is: Every once in a while , obtain the power consumption of each power consumption area, and then draw up the power consumption curve of each power consumption area over time ; By formula Get the evaluation value ; The evaluation value obtained The threshold range of the system Make a comparison; when When the power demand in the power consumption area is abnormal, it is judged that the power demand in the power consumption area is abnormal, and a dispatch instruction is generated; in, For The historical power consumption curve preset by the system in the time period changes with time. For The maximum power consumption in a time period. For The minimum power consumption in the time period, For Time period The maximum value of Preset the system for the next The historical electricity consumption curve of the time period changes with time, , , as well as is the proportionality coefficient, is the environmental impact value, for The start time of the time period, for The end time of the time period, , as well as are their respective reference values.

4. According to the data management-based virtual building energy allocation system of claim 3, it is characterized in that: Environmental impact value The method to obtain is: By formula Determine the environmental impact value; in , , as well as is the proportionality coefficient, Preset standard wind speed for the system, Preset standard temperature for the system, The preset standard humidity for the system, n is the total number of devices turned on, is the operating power of the i-th enabled device, and .

5. According to the data management-based virtual building energy allocation system of claim 4, it is characterized in that: The deployment instructions include an increase instruction and a decrease instruction; when When , a lowering instruction is generated; when When , a height adjustment instruction is generated.

6. A virtual building energy allocation system based on data management according to claim 5, characterized in that: The method by which the energy allocation module adjusts the allocated power consumption of each power consumption area according to the generated allocation instruction is as follows: When a reduction instruction is generated, the formula Adjust the allocated power consumption for the next time period to ; When generating a height adjustment instruction, the formula Adjust the allocated power consumption for the next time period to ; in, Allocate power usage for the current preset, is the power conversion coefficient, The maximum power consumption that the system is allowed to reduce is The maximum power usage that the system is allowed to increase.

7. A virtual building energy allocation system based on data management according to claim 6, characterized in that: The energy allocation module is also used to allocate the stored electric energy according to the evaluation values ​​of each power consumption area, and the allocation method is: In the preset period, the preset period contains indivual Time period, so as to obtain the evaluation value of the power consumption area in each time period ; By formula Obtain the power consumption stability value of each power consumption area , ; The stored electric energy will be allocated in priority from large to small according to the power consumption stability value of each power consumption area; Among them, u is the preset period The number of time periods, and , .

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