Intelligent building electrical energy saving method and system

Abstract

The invention discloses an intelligent building electrical energy saving method and system, and relates to the technical field of intelligent management, and the method comprises the following steps: dividing energy consumption plates of a to-be-tested building, calculating the conversion efficiency of the energy consumption plates, setting the starting number of loads, obtaining the load temperature and the load heat dissipation efficiency, and executing a first operation and a second operation. And establishing a first mapping relationship, and controlling the energy consumption plate of the first average use time. According to the invention, by identifying the area with high energy consumption, reducing unnecessary energy consumption, intelligently calculating and matching the required current, improving the energy efficiency, monitoring the temperature and heat dissipation efficiency of the load, ensuring the safety of the equipment, prolonging the service life of the equipment, and constructing the load state matrix, various dynamic changes can be coped, the management decision is optimized, and the energy efficiency is improved. The intelligent level of building management is improved, a long-term energy management strategy is supported, and the purposes of reducing electric charge expenditure and promoting sustainable development are achieved by improving energy efficiency and optimizing energy use.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent management, and in particular to an intelligent building electrical energy-saving method and system. Background Art

[0002] In recent years, with the development of Internet of Things technology, automated control systems have been widely used in smart buildings, such as smart lighting, smart air conditioning and smart power management systems, which can adjust energy consumption according to actual needs and improve energy efficiency. The electrical energy-saving methods of smart buildings are developing in a more intelligent and digital direction, and through the innovation of technical means and management models, higher energy utilization efficiency and lower environmental impact can be achieved.

[0003] At present, a Chinese invention patent with publication number CN 111913395 B discloses an intelligent building energy-saving control method and system. The method determines whether there are users and then performs intelligent control on the target intelligent building to facilitate energy saving. However, the related technology does not perform detailed switching and regulation of the loads of the relevant parts that affect the energy consumption of the building, which is not conducive to the stability of the system and the conversion efficiency of energy consumption. The energy-saving control method is not quantified based on multi-dimensional data, which is not conducive to the clarity and simplicity of control. Summary of the invention

[0004] The technical problem solved by the present invention is that the related technology does not carry out detailed switching and regulation of the loads of the relevant parts that affect the energy consumption of the building, which is not conducive to the stability of the system and the energy conversion efficiency; and does not quantify the energy-saving control method based on multi-dimensional data, which is not conducive to the clarity and simplicity of the control.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: In the first aspect, an intelligent building electrical energy saving method comprises the following steps:

[0006] Step S100, dividing the energy consumption section of the building to be tested, obtaining the electric energy information of the energy consumption section in a first time period, and calculating the average electric energy of the energy consumption section;

[0007] Step S200, setting the average value of the electric energy of the energy consumption block as the first capacity value, obtaining the usage time period of the energy consumption block within the first time period, calculating the first average usage time period of the energy consumption block, calculating the first time-averaged capacity value according to the first average usage time period and the first capacity value, matching the first current according to the first time-averaged capacity value, and supplying power to the energy consumption block according to the first current within the first average usage time period;

[0008] Step S300, calculating the input power of the energy consumption block according to the first current, obtaining the output power of the energy consumption block, calculating the conversion efficiency of the energy consumption block, obtaining the actual load value of the energy consumption block corresponding to the conversion efficiency with the maximum value, obtaining the rated load value of the energy consumption block, and calculating the ratio of the actual load value to the rated load value;

[0009] Step S400, obtaining the number of loads in the energy consumption panel, numbering the loads, setting the number of loads to be turned on according to the first ratio, obtaining the load temperature and the load heat dissipation efficiency, setting the load temperature threshold, comparing the load temperature with the load temperature threshold, performing a first operation according to the comparison result, calculating the load heat dissipation time according to the load heat dissipation efficiency, and performing a second operation according to the load heat dissipation time;

[0010] Step S500, constructing a load state matrix of the energy consumption block, establishing a first mapping relationship between a first average usage time period and the load state matrix of the energy consumption block, and controlling the energy consumption block of the first average usage time according to the first mapping relationship.

[0011] As a preferred solution of the intelligent building electrical energy saving method described in the present invention, step S100 includes the following sub-steps:

[0012] Step S101, dividing the energy consumption blocks of the building to be tested according to the execution function, wherein the energy consumption blocks include a lighting block, a water supply block and an air conditioning block;

[0013] Step S102, obtaining the electric energy information of the energy consumption blocks in the first time period, and calculating the electric energy average value of each energy consumption block respectively, wherein the electric energy average value of each energy consumption block is represented as the corresponding daily electric energy average value of each energy consumption block.

[0014] As a preferred solution of the intelligent building electrical energy saving method described in the present invention, step S200 includes the following sub-steps:

[0015] Step S201, obtaining any energy consumption block, and setting the average value of electric energy of the energy consumption block as a first capacity value;

[0016] Step S202, obtaining the usage time period of the energy consumption block within the first time period, calculating the first average usage time period of the energy consumption block, and calculating the first time-averaged capacity value according to the first average usage time period and the first capacity value, wherein the unit of the first time period is month or year, and the calculation logic of the first time-averaged capacity value includes:

[0017] Obtain a first capacity value, count the number of hours in a first average usage time period, calculate a ratio of the first capacity value to the number of hours in the first average usage time period, and record the ratio as a first time-average capacity value;

[0018] Step S203, calling the power consumption database, inputting the energy consumption block name and the first time-averaged capacity value into the power consumption database, matching the corresponding first current, and supplying power to the energy consumption block within the first average usage time period according to the first current.

[0019] As a preferred solution of the intelligent building electrical energy saving method described in the present invention, step S300 includes the following sub-steps:

[0020] Step S301, obtaining a first current, a corresponding internal resistance and a corresponding power factor, calculating a product of the first current, the corresponding internal resistance and the corresponding power factor, and setting the product as an input power of the energy consumption module;

[0021] Step S302, obtaining the output power of the energy consumption block, calculating the ratio of the output power to the input power, and setting the ratio of the output power to the input power as the conversion efficiency of the energy consumption block;

[0022] Step S303, traverse the conversion efficiency, sort the conversion efficiency in descending order, obtain the actual load value of the energy consumption block corresponding to the conversion efficiency with the largest value, obtain the rated load value of the energy consumption block, calculate the ratio of the actual load value to the rated load value, and record it as the first ratio.

[0023] As a preferred solution of the intelligent building electrical energy saving method described in the present invention, step S400 includes the following sub-steps:

[0024] Step S401, obtain the number of loads in the energy consumption panel, and number the loads, the number is represented by X i , where i is a natural number, representing the i-th load of the energy consumption block;

[0025] Step S402, calculating the product of the first ratio and the number of loads, and setting the product of the first ratio and the number of loads as the start-up number;

[0026] Step S403, obtaining the load temperature and the load heat dissipation efficiency, setting a load temperature threshold, comparing the load temperature with the load temperature threshold, and performing a first operation according to the comparison result, wherein the comparison result includes that the load temperature is greater than the load temperature threshold and that the load temperature is less than or equal to the load temperature threshold, and the first operation includes that the load is turned on and off and the load heat dissipation time is calculated, and the load does not change. When the comparison result is that the load temperature is greater than the load temperature threshold, the first operation is set to that the load is turned on and off and the load heat dissipation time is calculated. When the comparison result is that the load temperature is less than or equal to the load temperature threshold, the first operation is set to that the load does not change.

[0027] Step S404, calculate the difference between the temperature of the load and the load temperature threshold, call the load database, input the load model into the load database, match the load efficiency corresponding to the load model, calculate the load heat dissipation time, and perform a second operation according to the load heat dissipation time. The second operation is to jump to the next load and turn the next load from off to on within the load heat dissipation time.

[0028] As a preferred solution of the intelligent building electrical energy saving method described in the present invention, the calculation expression of the load heat dissipation time is:

[0029]

[0030] Wherein, t is the load heat dissipation time, Q2 is the load temperature, Q1 is the load temperature threshold, and η is the load heat dissipation efficiency.

[0031] As a preferred solution of the intelligent building electrical energy saving method described in the present invention, step S500 includes the following sub-steps:

[0032] Step S501, constructing a load state matrix of the energy consumption panel, the construction logic of the load state matrix includes: obtaining the load state, the load state includes on and off, assigning on as 1, assigning off as 0, taking the load number as the row, taking the load state as the column, constructing the load state matrix, the change of the load state is represented by the elements changing from 1 to 0 in two adjacent columns and the elements changing from 0 to 1 in two adjacent columns, and the number of the columns is the number of monitored time points;

[0033] Step S502, establish a first mapping relationship between the first average usage time period and the load state matrix of the energy consumption block, and control the energy consumption block of the first average usage time according to the first mapping relationship. The first mapping relationship is represented by the monitoring time from the load state of the current energy consumption block to the next load state that changes, that is, the difference in the monitored time points. According to the first mapping relationship, obtain each load state of the energy consumption block, arrange each load state into columns according to the load number, and according to the first mapping relationship, obtain the difference in the corresponding monitored time points, control the energy consumption block of the first average usage time, and count the running time. When the running time is equal to the difference in the monitored time points, change the load state.

[0034] In a second aspect, an intelligent building electrical energy-saving system includes a collection module, an analysis module and a control module;

[0035] The acquisition module divides the energy consumption section of the building to be tested, obtains the electric energy information of the energy consumption section within the first time period, and calculates the average electric energy of the energy consumption section;

[0036] The analysis module sets the average value of the electric energy of the energy consumption block to a first capacity value, obtains the usage time period of the energy consumption block within the first time period, calculates the first average usage time period of the energy consumption block, calculates the first time-averaged capacity value according to the first average usage time period and the first capacity value, matches the first current according to the first time-averaged capacity value, supplies power to the energy consumption block according to the first current within the first average usage time period, calculates the input power of the energy consumption block according to the first current, obtains the output power of the energy consumption block, calculates the conversion efficiency of the energy consumption block, obtains the actual load value of the energy consumption block corresponding to the conversion efficiency with the maximum value, obtains the rated load value of the energy consumption block, calculates the ratio of the actual load value to the rated load value, obtains the number of loads of the energy consumption block, numbers the loads, sets the number of loads turned on according to the first ratio, obtains the load temperature and the load heat dissipation efficiency, sets the load temperature threshold, compares the load temperature with the load temperature threshold, performs the first operation according to the comparison result, calculates the load heat dissipation time according to the load heat dissipation efficiency, and performs the second operation according to the load heat dissipation time;

[0037] The control module constructs a load state matrix of the energy consumption block, establishes a first mapping relationship between a first average usage time period and the load state matrix of the energy consumption block, and controls the energy consumption block of the first average usage time according to the first mapping relationship.

[0038] In a third aspect, the present invention provides an electronic device comprising a memory, a processor and storage in the memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in any one of the methods described above are executed.

[0039] In a fourth aspect, the present invention provides a storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps in any one of the methods described above are executed.

[0040] The beneficial effects of the present invention are as follows: by dividing and monitoring the electric energy information of the energy consumption plate, the area with high energy consumption is identified, and then measures are taken to optimize and reduce unnecessary energy consumption; according to the actual energy consumption data and conversion efficiency, the required current is intelligently calculated and matched to achieve accurate power supply for different loads, and ensure that the equipment operates in the optimal working state, thereby improving energy efficiency; by monitoring the temperature and heat dissipation efficiency of the load, the load operation state is adjusted in time to avoid overheating, ensure the safety of the equipment and extend its service life; a load state matrix is ​​constructed, which can reflect the energy consumption state changes of the building in real time, and help managers make timely adjustments to cope with various dynamic changes; by using the established mapping relationship and real-time monitoring data, management decisions are optimized, the intelligent level of building management is improved, and long-term energy management strategies are supported; by improving energy efficiency and optimizing energy use, electricity expenses are reduced, thereby providing support for saving the operating costs of buildings; effective energy-saving measures help reduce the carbon footprint of buildings, promote the goal of sustainable development, and make a positive contribution to environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A basic flow chart of an intelligent building electrical energy saving method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0043] Example, see Figure 1 , as an embodiment of the present invention, provides an intelligent building electrical energy saving method, comprising the following steps:

[0044] Step S100, dividing the energy consumption section of the building to be tested, obtaining the electric energy information of the energy consumption section in a first time period, and calculating the average electric energy of the energy consumption section;

[0045] Step S200, setting the average value of the electric energy of the energy consumption block as the first capacity value, obtaining the usage time period of the energy consumption block within the first time period, calculating the first average usage time period of the energy consumption block, calculating the first time-averaged capacity value according to the first average usage time period and the first capacity value, matching the first current according to the first time-averaged capacity value, and supplying power to the energy consumption block according to the first current within the first average usage time period;

[0046] Step S300, calculating the input power of the energy consumption block according to the first current, obtaining the output power of the energy consumption block, calculating the conversion efficiency of the energy consumption block, obtaining the actual load value of the energy consumption block corresponding to the conversion efficiency with the maximum value, obtaining the rated load value of the energy consumption block, and calculating the ratio of the actual load value to the rated load value;

[0047] Step S400, obtaining the number of loads in the energy consumption panel, numbering the loads, setting the number of loads to be turned on according to the first ratio, obtaining the load temperature and the load heat dissipation efficiency, setting the load temperature threshold, comparing the load temperature with the load temperature threshold, performing a first operation according to the comparison result, calculating the load heat dissipation time according to the load heat dissipation efficiency, and performing a second operation according to the load heat dissipation time;

[0048] Step S500, constructing a load state matrix of the energy consumption block, establishing a first mapping relationship between a first average usage time period and the load state matrix of the energy consumption block, and controlling the energy consumption block of the first average usage time according to the first mapping relationship.

[0049] The present invention divides and monitors the electric energy information of the energy consumption plate, identifies the area with high energy consumption, and then takes measures to optimize and reduce unnecessary energy consumption. According to the actual energy consumption data and conversion efficiency, the required current is intelligently calculated and matched to achieve accurate power supply for different loads, and ensure that the equipment operates in the optimal working state, thereby improving energy efficiency. By monitoring the temperature and heat dissipation efficiency of the load, the load operation state is adjusted in time to avoid overheating, ensure the safety of the equipment and extend its service life. A load state matrix is ​​constructed to reflect the energy consumption state changes of the building in real time, help managers make timely adjustments to cope with various dynamic changes, and use the established mapping relationship and real-time monitoring data to optimize management decisions, improve the intelligence level of building management, support long-term energy management strategies, and reduce electricity expenses by improving energy efficiency and optimizing energy use, thereby providing support for saving the operating costs of buildings. Effective energy-saving measures help reduce the carbon footprint of buildings, promote the goal of sustainable development, and make positive contributions to environmental protection.

[0050] The step S100 includes the following sub-steps:

[0051] Step S101, dividing the energy consumption blocks of the building to be tested according to the execution function, wherein the energy consumption blocks include a lighting block, a water supply block and an air conditioning block;

[0052] Step S102, obtaining the electric energy information of the energy consumption blocks in the first time period, and calculating the electric energy average value of each energy consumption block respectively, wherein the electric energy average value of each energy consumption block is represented as the corresponding daily electric energy average value of each energy consumption block.

[0053] In specific implementation, by dividing the building into different energy consumption sectors such as lighting, water supply and air conditioning, the energy consumption of each functional area can be clearly identified and managed, providing basic data for subsequent energy-saving measures. The electricity information in a specific time period is obtained and the average electricity value of each energy consumption sector is calculated. This helps to fully understand the electricity consumption of each sector and form a scientific energy consumption analysis. By calculating the daily average electricity value, the energy consumption changes of the building in different time periods can be tracked in real time, which is convenient for the management to identify high energy consumption periods and provide a reference for optimizing energy-saving measures.

[0054] The step S200 includes the following sub-steps:

[0055] Step S201, obtaining any energy consumption block, and setting the average value of electric energy of the energy consumption block as a first capacity value;

[0056] Step S202, obtaining the usage time period of the energy consumption block within the first time period, calculating the first average usage time period of the energy consumption block, and calculating the first time-averaged capacity value according to the first average usage time period and the first capacity value, wherein the unit of the first time period is month or year, and the calculation logic of the first time-averaged capacity value includes:

[0057] Obtain a first capacity value, count the number of hours in a first average usage time period, calculate a ratio of the first capacity value to the number of hours in the first average usage time period, and record the ratio as a first time-average capacity value;

[0058] Step S203, calling the power consumption database, inputting the energy consumption block name and the first time-averaged capacity value into the power consumption database, matching the corresponding first current, and supplying power to the energy consumption block within the first average usage time period according to the first current.

[0059] In specific implementation, by obtaining the average value of electric energy of each energy consumption block and setting it as the first capacity value, basic data is provided for subsequent energy consumption analysis and management, which helps to optimize the allocation and use of power resources. By calculating the first average usage time period, it helps to understand the actual usage of the energy consumption block in a specific time period, identify peak and low-peak power consumption periods, and provide a basis for adjusting power consumption strategies. The calculated first time-average capacity value is used to match actual demand with power supply capacity, ensuring that the power demand of the energy consumption block is met in actual use, avoiding unstable equipment operation due to insufficient power supply.

[0060] The step S300 includes the following sub-steps:

[0061] Step S301, obtaining a first current, a corresponding internal resistance and a corresponding power factor, calculating a product of the first current, the corresponding internal resistance and the corresponding power factor, and setting the product as an input power of the energy consumption module;

[0062] Step S302, obtaining the output power of the energy consumption block, calculating the ratio of the output power to the input power, and setting the ratio of the output power to the input power as the conversion efficiency of the energy consumption block;

[0063] Step S303, traverse the conversion efficiency, sort the conversion efficiency in descending order, obtain the actual load value of the energy consumption block corresponding to the conversion efficiency with the largest value, obtain the rated load value of the energy consumption block, calculate the ratio of the actual load value to the rated load value, and record it as the first ratio.

[0064] In specific implementation, by obtaining current, internal resistance and power factor, the input power of the energy consumption block can be accurately calculated, providing reliable basic data for subsequent energy efficiency evaluation. By calculating the ratio of output power to input power, the conversion efficiency of the energy consumption block can be intuitively evaluated, which helps to identify energy waste and improve overall energy efficiency. By traversing and sorting the conversion efficiency, the energy consumption block with the best performance can be highlighted, promoting the rational allocation and use of resources. Obtaining the ratio of actual load value to rated load value helps to monitor the operating status of the equipment, ensure that the equipment works within a reasonable load range, and improve economic benefits.

[0065] The step S400 includes the following sub-steps:

[0066] Step S401, obtain the number of loads in the energy consumption panel, and number the loads, the number is represented by X i , where i is a natural number, representing the i-th load of the energy consumption block;

[0067] Step S402, calculating the product of the first ratio and the number of loads, and setting the product of the first ratio and the number of loads as the start-up number;

[0068] Step S403, obtaining the load temperature and the load heat dissipation efficiency, setting a load temperature threshold, comparing the load temperature with the load temperature threshold, and performing a first operation according to the comparison result, wherein the comparison result includes that the load temperature is greater than the load temperature threshold and that the load temperature is less than or equal to the load temperature threshold, and the first operation includes that the load is turned on and off and the load heat dissipation time is calculated, and the load does not change. When the comparison result is that the load temperature is greater than the load temperature threshold, the first operation is set to that the load is turned on and off and the load heat dissipation time is calculated. When the comparison result is that the load temperature is less than or equal to the load temperature threshold, the first operation is set to that the load does not change.

[0069] Step S404, calculate the difference between the temperature of the load and the load temperature threshold, call the load database, input the load model into the load database, match the load efficiency corresponding to the load model, calculate the load heat dissipation time, and perform a second operation according to the load heat dissipation time. The second operation is to jump to the next load and turn the next load from off to on within the load heat dissipation time.

[0070] The calculation expression of the load heat dissipation time is:

[0071] t= Q2-Q1

[0072] η

[0073] Wherein, t is the load heat dissipation time, Q2 is the load temperature, Q1 is the load temperature threshold, and η is the load heat dissipation efficiency.

[0074] In specific implementation, by numbering the loads, each load can be effectively managed and identified, which helps to make subsequent operations clear and accurate. By calculating the product of the first ratio and the number of loads, the number of turned-on loads can be adjusted in real time to efficiently allocate resources and optimize energy consumption according to actual needs. By comparing the temperature with the threshold, the problem of load overheating can be dealt with in a timely manner. When the load temperature is greater than the threshold, the load can be shut down in time to avoid equipment damage or safety hazards.

[0075] The step S500 includes the following sub-steps:

[0076] Step S501, constructing a load state matrix of the energy consumption panel, the construction logic of the load state matrix includes: obtaining the load state, the load state includes on and off, assigning on as 1, assigning off as 0, taking the load number as the row, taking the load state as the column, constructing the load state matrix, the change of the load state is represented by the elements changing from 1 to 0 in two adjacent columns and the elements changing from 0 to 1 in two adjacent columns, and the number of the columns is the number of monitored time points;

[0077] Step S502, establish a first mapping relationship between the first average usage time period and the load state matrix of the energy consumption block, and control the energy consumption block of the first average usage time according to the first mapping relationship. The first mapping relationship is represented by the monitoring time from the load state of the current energy consumption block to the next load state that changes, that is, the difference in the monitored time points. According to the first mapping relationship, obtain each load state of the energy consumption block, arrange each load state into columns according to the load number, and according to the first mapping relationship, obtain the difference in the corresponding monitored time points, control the energy consumption block of the first average usage time, and count the running time. When the running time is equal to the difference in the monitored time points, change the load state.

[0078] In the specific implementation, by constructing a load state matrix, the state changes of the load can be monitored and recorded comprehensively and in real time, which provides basic data for analyzing the load operation status. The on and off states are represented by numerical values, making the tracking and management of load state changes more efficient and intuitive, and convenient for algorithm analysis. By establishing a first mapping relationship, the relationship between the change in load state and the time point is effectively corresponded, providing a basis for subsequent control decisions, ensuring that the management of the energy consumption section is more intelligent, and controlling the energy consumption section according to the first mapping relationship can dynamically adjust the load state according to actual usage needs, thereby effectively avoiding unnecessary energy consumption and achieving energy-saving effects.

[0079] The present invention divides and monitors the electric energy information of the energy consumption plate, identifies the area with high energy consumption, and then takes measures to optimize and reduce unnecessary energy consumption. According to the actual energy consumption data and conversion efficiency, the required current is intelligently calculated and matched to achieve accurate power supply for different loads, and ensure that the equipment operates in the optimal working state, thereby improving energy efficiency. By monitoring the temperature and heat dissipation efficiency of the load, the load operation state is adjusted in time to avoid overheating, ensure the safety of the equipment and extend its service life. A load state matrix is ​​constructed to reflect the energy consumption state changes of the building in real time, help managers make timely adjustments to cope with various dynamic changes, and use the established mapping relationship and real-time monitoring data to optimize management decisions, improve the intelligence level of building management, support long-term energy management strategies, and reduce electricity expenses by improving energy efficiency and optimizing energy use, thereby providing support for saving the operating costs of buildings. Effective energy-saving measures help reduce the carbon footprint of buildings, promote the goal of sustainable development, and make positive contributions to environmental protection.

[0080] It should be understood by those skilled in the art that the embodiments of the present invention can be provided as methods, systems or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0081] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An intelligent building electrical energy saving method, characterized in that: The following steps are involved: Step S100, dividing the energy consumption section of the building to be tested, obtaining the electric energy information of the energy consumption section in a first time period, and calculating the average electric energy of the energy consumption section; Step S200, setting the average value of the electric energy of the energy consumption block as the first capacity value, obtaining the usage time period of the energy consumption block within the first time period, calculating the first average usage time period of the energy consumption block, calculating the first time-averaged capacity value according to the first average usage time period and the first capacity value, matching the first current according to the first time-averaged capacity value, and supplying power to the energy consumption block according to the first current within the first average usage time period; Step S300, calculating the input power of the energy consumption block according to the first current, obtaining the output power of the energy consumption block, calculating the conversion efficiency of the energy consumption block, obtaining the actual load value of the energy consumption block corresponding to the conversion efficiency with the maximum value, obtaining the rated load value of the energy consumption block, and calculating the ratio of the actual load value to the rated load value; Step S400, obtaining the number of loads in the energy consumption panel, numbering the loads, setting the number of loads to be turned on according to the first ratio, obtaining the load temperature and the load heat dissipation efficiency, setting the load temperature threshold, comparing the load temperature with the load temperature threshold, performing a first operation according to the comparison result, calculating the load heat dissipation time according to the load heat dissipation efficiency, and performing a second operation according to the load heat dissipation time; Step S500, constructing a load state matrix of the energy consumption block, establishing a first mapping relationship between a first average usage time period and the load state matrix of the energy consumption block, and controlling the energy consumption block of the first average usage time according to the first mapping relationship.

2. The intelligent building electrical energy saving method according to claim 1, characterized in that: The step S100 includes the following sub-steps: Step S101, dividing the energy consumption blocks of the building to be tested according to the execution function, wherein the energy consumption blocks include a lighting block, a water supply block and an air conditioning block; Step S102, obtaining the electric energy information of the energy consumption blocks in the first time period, and calculating the electric energy average value of each energy consumption block respectively, wherein the electric energy average value of each energy consumption block is represented as the corresponding daily electric energy average value of each energy consumption block.

3. The intelligent building electrical energy saving method according to claim 1, characterized in that: The step S200 includes the following sub-steps: Step S201, obtaining any energy consumption block, and setting the average value of electric energy of the energy consumption block as a first capacity value; Step S202, obtaining the usage time period of the energy consumption block within the first time period, calculating the first average usage time period of the energy consumption block, and calculating the first time-averaged capacity value according to the first average usage time period and the first capacity value, wherein the unit of the first time period is month or year, and the calculation logic of the first time-averaged capacity value includes: Obtain a first capacity value, count the number of hours in a first average usage time period, calculate a ratio of the first capacity value to the number of hours in the first average usage time period, and record the ratio as a first time-average capacity value; Step S203, calling the power consumption database, inputting the energy consumption block name and the first time-averaged capacity value into the power consumption database, matching the corresponding first current, and supplying power to the energy consumption block within the first average usage time period according to the first current.

4. The intelligent building electrical energy saving method according to claim 1, characterized in that: The step S300 includes the following sub-steps: Step S301, obtaining a first current, a corresponding internal resistance and a corresponding power factor, calculating a product of the first current, the corresponding internal resistance and the corresponding power factor, and setting the product as an input power of the energy consumption module; Step S302, obtaining the output power of the energy consumption block, calculating the ratio of the output power to the input power, and setting the ratio of the output power to the input power as the conversion efficiency of the energy consumption block; Step S303, traverse the conversion efficiency, sort the conversion efficiency in descending order, obtain the actual load value of the energy consumption block corresponding to the conversion efficiency with the largest value, obtain the rated load value of the energy consumption block, calculate the ratio of the actual load value to the rated load value, and record it as the first ratio.

5. The intelligent building electrical energy saving method according to claim 1, characterized in that: The step S400 includes the following sub-steps: Step S401, obtain the number of loads in the energy consumption panel, and number the loads, the number is represented by X i , where i is a natural number, representing the i-th load of the energy consumption block; Step S402, calculating the product of the first ratio and the number of loads, and setting the product of the first ratio and the number of loads as the opening number; Step S403, obtaining the load temperature and the load heat dissipation efficiency, setting a load temperature threshold, comparing the load temperature with the load temperature threshold, and performing a first operation according to the comparison result, wherein the comparison result includes that the load temperature is greater than the load temperature threshold and that the load temperature is less than or equal to the load temperature threshold, and the first operation includes that the load is turned on and off and the load heat dissipation time is calculated, and the load does not change. When the comparison result is that the load temperature is greater than the load temperature threshold, the first operation is set to that the load is turned on and off and the load heat dissipation time is calculated. When the comparison result is that the load temperature is less than or equal to the load temperature threshold, the first operation is set to that the load does not change. Step S404, calculate the difference between the temperature of the load and the load temperature threshold, call the load database, input the load model into the load database, match the load efficiency corresponding to the load model, calculate the load heat dissipation time, and perform a second operation according to the load heat dissipation time. The second operation is to jump to the next load and turn the next load from off to on within the load heat dissipation time.

6. The intelligent building electrical energy saving method according to claim 5, characterized in that: The calculation expression of the load heat dissipation time is: t＝ Q2-Q1 η Wherein, t is the load heat dissipation time, Q2 is the load temperature, Q1 is the load temperature threshold, and η is the load heat dissipation efficiency.

7. The intelligent building electrical energy saving method according to claim 1, characterized in that: The step S500 includes the following sub-steps: Step S501, constructing a load state matrix of the energy consumption panel, the construction logic of the load state matrix includes: obtaining the load state, the load state includes on and off, assigning on as 1, assigning off as 0, taking the load number as the row, taking the load state as the column, constructing the load state matrix, the change of the load state is represented by the elements changing from 1 to 0 in two adjacent columns and the elements changing from 0 to 1 in two adjacent columns, and the number of the columns is the number of monitored time points; Step S502, establish a first mapping relationship between the first average usage time period and the load state matrix of the energy consumption block, and control the energy consumption block of the first average usage time according to the first mapping relationship. The first mapping relationship is represented by the monitoring time from the load state of the current energy consumption block to the next load state that changes, that is, the difference in the monitored time points. According to the first mapping relationship, obtain each load state of the energy consumption block, arrange each load state into columns according to the load number, and according to the first mapping relationship, obtain the difference in the corresponding monitored time points, control the energy consumption block of the first average usage time, and count the running time. When the running time is equal to the difference in the monitored time points, change the load state.

8. An intelligent building electrical energy-saving system, characterized in that: It includes an acquisition module, an analysis module and a control module; The acquisition module divides the energy consumption section of the building to be tested, obtains the electric energy information of the energy consumption section within the first time period, and calculates the average electric energy of the energy consumption section; The analysis module sets the average value of the electric energy of the energy consumption block to a first capacity value, obtains the usage time period of the energy consumption block within the first time period, calculates the first average usage time period of the energy consumption block, calculates the first time-averaged capacity value according to the first average usage time period and the first capacity value, matches the first current according to the first time-averaged capacity value, supplies power to the energy consumption block according to the first current within the first average usage time period, calculates the input power of the energy consumption block according to the first current, obtains the output power of the energy consumption block, calculates the conversion efficiency of the energy consumption block, obtains the actual load value of the energy consumption block corresponding to the conversion efficiency with the maximum value, obtains the rated load value of the energy consumption block, calculates the ratio of the actual load value to the rated load value, obtains the number of loads of the energy consumption block, numbers the loads, sets the number of loads turned on according to the first ratio, obtains the load temperature and the load heat dissipation efficiency, sets the load temperature threshold, compares the load temperature with the load temperature threshold, performs the first operation according to the comparison result, calculates the load heat dissipation time according to the load heat dissipation efficiency, and performs the second operation according to the load heat dissipation time; The control module constructs a load state matrix of the energy consumption block, establishes a first mapping relationship between a first average usage time period and the load state matrix of the energy consumption block, and controls the energy consumption block of the first average usage time according to the first mapping relationship.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the intelligent building electrical energy saving method described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the intelligent building electrical energy-saving method according to any one of claims 1 to 7 is implemented.

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