Intelligent energy-saving building management method

Abstract

The invention relates to the technical field of energy-saving building management, and discloses an intelligent energy-saving building management method, which comprises an acquisition module for acquiring target information, a judgment module for judging whether the environment temperature and ventilation in a building need to be adjusted or not and forming judgment data for regulation and control, and a control module for controlling the judgment data. According to the intelligent energy-saving building management method, refrigerating or heating is intelligently carried out according to the gathering degree of people in the building so as to achieve the temperature adjusting effect, the situation that when people are sparse, temperature adjusting equipment still carries out high-power refrigerating or heating is prevented, and the intelligent energy-saving building management method is suitable for large-scale popularization and application. According to the current season and weather, whether ventilation is conducted or not is judged, a space model is established, and the wind speed and the wind direction in the current rainy day are obtained, so that the window opening angle is intelligently adjusted according to different wind speeds, rainwater is prevented from flowing into a room, ventilation and rain prevention are both considered in the rainy day, and the situation that resources are wasted in summer is avoided; therefore, the effect of saving energy is achieved.

Description

Technical Field

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

[0002] Smart energy-saving building management method is a system that uses advanced technology and data analysis to optimize building energy consumption. It usually includes intelligent energy management, data collection and analysis, automatic control, equipment monitoring and maintenance, energy reporting and optimization, etc. By integrating advanced technology and data analysis, it can achieve intelligent management and conservation of building energy, thereby improving the sustainability and economy of buildings. The comprehensive functions of smart energy-saving building management methods can help buildings achieve higher energy efficiency and reduce energy costs, while also ensuring the comfort and health of the indoor environment. Such a system plays an important role in sustainable development and environmental protection; By monitoring and controlling the energy systems inside the building, such as lighting, air conditioning, heating, etc., to improve energy efficiency and reduce energy consumption, sensors and monitoring equipment are used to collect various building data, such as temperature, humidity, light intensity, etc., and then the data is analyzed to identify potential energy-saving opportunities and problems. Based on the results of data analysis, the intelligent system can automatically adjust the energy equipment inside the building to achieve the best energy use effect. For example, according to the activities of people and weather conditions, the working mode of the lighting and air-conditioning system is adjusted. The system can monitor the performance and status of the equipment inside the building and detect potential faults or problems in advance so that the equipment can be repaired and replaced in time to improve the reliability and durability of the system. The system can generate energy consumption reports to show the energy usage and trends of the building, help managers optimize energy management strategies, and formulate energy-saving plans; Existing smart energy-saving building management methods cannot intelligently perform cooling or heating to achieve the effect of regulating temperature according to the degree of crowd gathering in the building. They cannot actively determine whether it is necessary to pre-adjust the temperature of some areas based on data such as the historical flow of people in the building. They cannot intelligently open windows for ventilation and adjust the window angles according to the season and weather, especially on rainy days, making it impossible to take into account both ventilation and rain protection on rainy days, which easily leads to waste of resources in summer. Their practicality has certain limitations. Summary of the invention

[0003] The present invention provides an intelligent energy-saving building management method, which has the function of intelligently cooling or heating to achieve the effect of regulating temperature by obtaining the degree of crowd gathering in the building, preventing the temperature regulating device from still performing high-power cooling or heating when the people are sparse, and judging whether it is a summer rainy day by obtaining the current season and weather. If it is a summer rainy day, a spatial model simulating the influence of different wind speeds on the falling direction of raindrops is established, and the wind speed and wind direction when it rains are obtained to judge the influence of different wind speeds on the falling position of raindrops, so as to intelligently open windows for ventilation and adjust the window opening angle according to different wind speeds to prevent rainwater from flowing into the room, so that the room can be ventilated at the same time on rainy days. Taking into account both ventilation and rain protection, it avoids wasting resources in summer, thereby achieving the beneficial effect of saving energy. It solves the problem that in the process of energy-saving building management mentioned in the above background technology, it is impossible to intelligently perform cooling or heating to achieve the effect of adjusting the temperature according to the degree of crowd gathering in the building, and it is impossible to actively determine whether it is necessary to pre-adjust the temperature of some areas based on data such as the historical flow of people in the building. It is impossible to intelligently open windows for ventilation and adjust the window angles according to the season and weather, especially on rainy days, so that ventilation and rain protection cannot be taken into account on rainy days, which makes it easy to waste resources in summer. Its practicality has certain limitations.

[0004] The present invention provides the following technical solution: a smart energy-saving building management method, comprising: Acquisition module: obtain target information; The target information includes real-time weather, flow of people in the building, temperature in the building, and real-time wind speed and direction outside the building; Judgment module: Based on the target information, it determines whether the ambient temperature and ventilation in the building need to be adjusted, and forms judgment data for regulation; Control module: Intelligently adjust and manage the ambient temperature and ventilation in the building based on the judgment data.

[0005] As an optional solution of the intelligent energy-saving building management method of the present invention, the method of judging whether the ambient temperature and ventilation in the building need to be adjusted according to the target information and forming judgment data for regulation specifically includes: Obtain the traffic volume in the building of the target information; Get the terrain distribution within the building; Acquire historical pedestrian flow information in the building, wherein the historical pedestrian flow information includes historical pedestrian volume; Set the flow threshold; Get historical foot traffic at various locations within the building; Obtaining historical crowd flow concentration and dispersion at various locations in the building, wherein the historical crowd flow concentration and dispersion is an average crowd flow at various locations in the building calculated based on historical crowd flow data at various locations in the building; The area within the building where the historical crowd concentration exceeds the crowd threshold is defined as the first area; Get the first area and the number of first areas; Execute the first area crowd flow determination strategy.

[0006] As an optional solution of the intelligent energy-saving building management method of the present invention, the execution of the first area flow determination strategy specifically includes: Acquire flow data of each first area, the flow data including first data C and second data D, the first data C is the number of customers entering the area, and the second data D is the number of customers leaving the area; Set time threshold A; Extracting first data C in each first region; Obtaining the stay time B of all customers in the first data C in each first area; Set a first threshold value E, the first threshold value E=the second data D+5%×the second data D; If the residence time B is greater than the time threshold A, and the first data C is greater than the first threshold E, then the first area is determined to be the first target area; Set a second threshold F, where the second threshold F=second data D±5%×second data D; If the residence time B is less than the time threshold A, and the first data C is equal to the second threshold F, then the first area is determined to be the second target area; Obtain the daily temperature of the first target area and the second target area; According to the temperature of the day, forming first adjustment data for the first target area; According to the temperature of the day, second adjustment data is formed for the second target area.

[0007] As an optional solution of the intelligent energy-saving building management method of the present invention, wherein: the intelligent adjustment and management of the ambient temperature and ventilation in the building according to the judgment data specifically includes: Obtaining real-time temperatures in buildings of the first target area and the second target area; Set temperature thresholds; If the temperature on the day is greater than the temperature threshold, and the real-time temperature in the building is greater than the temperature threshold, the temperature is determined to be high; If the temperature on the day is less than the temperature threshold, and the real-time temperature in the building is less than the temperature threshold, the temperature is judged to be low; If the temperature on the day is greater than the temperature threshold, but the real-time temperature in the building is less than the temperature threshold, no judgment is made; Acquire historical crowd flow information of the first target area, wherein the historical crowd flow information includes a peak crowd flow time period, and the peak crowd flow time period is a time period from when customers begin to gather in the area to when all customers leave; Setting a first temperature adjustment time; Get the number of the first target area; When the first temperature adjustment time is reached, the temperature at the first target area is controlled and adjusted; If it is determined that the temperature at the first target area is high, the temperature control device at the first target area is controlled to cool down until the temperature at the first target area is equal to the temperature threshold; If it is determined that the temperature at the first target area is low, controlling the temperature control device at the first target area to increase the temperature until the temperature at the first target area is equal to the temperature threshold; Get the number of the second target area; Obtain the peak time period of passenger flow in the second target area; Set the interval time threshold G; Setting the second temperature adjustment time; Calculate the interval time H of the peak flow time period between each second target area; If the interval time H is greater than the interval time threshold G, it is determined that the customers in each second target area are the same; When each second temperature adjustment time is reached, the temperature at the second target area is controlled and adjusted; If the interval time H is less than the interval time threshold G, it is determined that the customers in each second target area are different; then comparing the second temperature adjustment time of each second target area; Select the earliest second temperature adjustment time, and locate the third temperature adjustment time; When the third temperature adjustment time is reached, controlling and adjusting the temperature at the second target area; If it is determined that the temperature at the second target area is high, controlling the temperature control device at the second target area to cool down until the temperature at the second target area is equal to the temperature threshold; If it is determined that the temperature at the second target area is low, the temperature control device at the second target area is controlled to increase the temperature until the temperature at the second target area is equal to the temperature threshold.

[0008] As an optional solution of the intelligent energy-saving building management method of the present invention, the method of judging whether the ambient temperature and ventilation in the building need to be adjusted according to the target information and forming judgment data for regulation also includes: Get real-time weather information of the target; Set target weather; If the real-time weather reaches the target weather, the collection date is obtained; According to the collection date, determine the quarter corresponding to the collection date, and position the quarter as the target quarter; Set adjustment quarter; If the target quarter is equal to the adjusted quarter, ventilation is determined; If the target quarter is not equal to the adjustment quarter, no judgment is made.

[0009] As an optional solution of the intelligent energy-saving building management method of the present invention, wherein: the intelligent adjustment and management of the ambient temperature and ventilation in the building according to the judgment data also includes: Determine ventilation; Get the window opening direction of the building's window; The second plane of the window is provided with two partitions for shielding rainwater; When the window is closed, the partition is located at the window, so that the second plane of the window on the side where the partition is provided is in contact with the first plane; When the window is opened, the partition plays a role of shielding rainwater when the target weather occurs; Get real-time wind speed and direction outside the building; If the wind direction is inconsistent with the window opening direction, no judgment will be made; If the wind direction is consistent with the window opening direction, the ventilation adjustment strategy is implemented.

[0010] As an optional solution of the intelligent energy-saving building management method of the present invention, wherein: the execution of the ventilation adjustment strategy specifically includes: Get the window opening angle; Get the direction of rain affected by wind direction; Determine the position Z of rainwater passing through the first port of the window to the second plane; Set the window opening direction as the positive direction; Get the radius Q; Setting a distance threshold X, where the distance threshold X is a distance threshold set in a direction from the third port to the second port; Calculate the distance Y from the third port to the radius Q; If it is determined to be the first position, the window is controlled to open in the positive direction until the distance Y is equal to the distance threshold X; If it is determined to be the second position, the window is controlled to open in the negative direction until the distance Y is equal to the distance threshold X.

[0011] As an optional solution of the intelligent energy-saving building management method of the present invention, the determination of the position Z of rainwater passing through the first port of the window to the second plane is specifically: Establish a spatial model to simulate the effect of different wind speeds on the direction of raindrops falling; Simulate different wind speeds in the window opening direction; The direction in which raindrops fall under different wind speeds in the window opening direction is collected, and the direction is defined as the first direction; The direction perpendicular to the ground is defined as the second direction; Obtaining an angle W between the first direction and the second direction at different wind speeds in the window opening direction; Acquire a distance V between a first port and a second port of the window, wherein the first port is an upper end of the window and the second port is a lower end of the window; Taking any point O of the first port of the window as the starting point and the first direction as the vector direction, draw an extension line Y until the extension line Y connects to any point P on the second plane; Calculate the length U of the extended line Y, length U = distance V / cos angle W; Calculate the distance T between point P and the second port, distance T = length U × sin angle W; Obtaining a distance S between a third port of the window and a second port of the window, wherein the third port is an upper end of the window; Calculate the distance R between the third port and point P, distance R = distance S - distance T; Simulate the range of water splashes caused by raindrops falling under different wind speeds in the window opening direction, and set this range as the target range; Taking the point P where the raindrop falls as the center point, obtain the radius Q of the target range; The positions, angles W, lengths U, distances T, distances R, and radii Q of all simulated points P are integrated to form a data set.

[0012] As an optional solution of the intelligent energy-saving building management method of the present invention, the step of determining the position Z of rainwater passing through the first port of the window to the second plane also includes: Get the window opening direction and set the direction as the target direction; Get real-time wind speed; Extract the point P corresponding to the real-time wind speed in the spatial model; Get the data set; Extract the radius Q and distance R corresponding to the position of point P in the data set; Compare radius Q and distance R; If the radius Q is smaller than the distance R, it is determined to be the first position; If the radius Q is greater than the distance R, it is determined to be the second position.

[0013] The present invention has the following beneficial effects: 1. This intelligent energy-saving building management method obtains the degree of crowd gathering in the building and intelligently performs cooling or heating to achieve the effect of regulating the temperature, preventing the temperature control equipment from still performing high-power cooling or heating when the number of people is sparse, thereby achieving the effect of saving energy.

[0014] 2. This intelligent energy-saving building management method determines whether it is a summer rainy day by obtaining the current season and weather. If it is a summer rainy day, it intelligently opens windows for ventilation and adjusts the window opening angle to take into account both ventilation and rain protection on rainy days, thereby avoiding waste of resources in summer and achieving the effect of saving energy.

[0015] 3. This intelligent energy-saving building management method establishes a spatial model that simulates the impact of different wind speeds on the direction of raindrops falling, obtains the wind speed and direction when it rains, and determines the impact of different wind speeds on the position of raindrops falling. The window opening angle is adjusted according to different wind speeds to prevent rainwater from flowing into the room, so that ventilation and rain protection can be taken into account at the same time on rainy days, avoiding waste of resources in summer, thereby achieving the effect of saving energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a block diagram of the intelligent energy-saving building management method of the present invention; Figure 2 It is a schematic diagram of the window of the present invention; Figure 3 It is a schematic diagram of point P of the present invention; Figure 4 Schematic diagram of distance R of the present invention. DETAILED DESCRIPTION

[0017] 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.

[0018] Embodiment 1, a smart energy-saving building management method, see Figure 1 ,include: Acquisition module: obtain target information; The target information includes real-time weather, flow of people in the building, temperature in the building, and real-time wind speed and direction outside the building; Judgment module: Based on the target information, it determines whether the ambient temperature and ventilation in the building need to be adjusted, and forms judgment data for regulation; Control module: Intelligently adjust and manage the ambient temperature and ventilation in the building based on the judgment data.

[0019] Through the above modules, the acquisition module obtains target information, and the judgment module determines whether the ambient temperature and ventilation in the building need to be adjusted based on the target information, and forms judgment data for regulation. The regulation module intelligently adjusts and manages the ambient temperature and ventilation in the building based on the judgment data, and intelligently performs cooling or heating according to the degree of crowd gathering in the building to achieve the effect of regulating the temperature, thereby preventing the temperature regulation equipment from still performing high-power cooling or heating when the population is sparse. According to the current season and weather, it determines whether to ventilate, establishes a spatial model, and obtains the wind speed and wind direction when it is raining, so as to intelligently adjust the window opening angle according to different wind speeds to prevent rainwater from flowing into the room, so that ventilation and rain protection can be taken into account at the same time on rainy days, and waste of resources in summer can be avoided, thereby achieving the effect of saving energy.

[0020] Embodiment 2: This embodiment is an improvement made on the basis of embodiment 1. The intelligent energy-saving building management method, according to the target information, determines whether the ambient temperature and ventilation in the building need to be adjusted, and forms judgment data for regulation, specifically including: Obtain the traffic volume in the building of the target information; Get the terrain distribution within the building; Acquire historical pedestrian flow information in the building, wherein the historical pedestrian flow information includes historical pedestrian volume; Setting a flow threshold, where the flow threshold is a threshold manually set according to actual conditions; Get historical foot traffic at various locations within the building; Obtaining historical crowd flow concentration and dispersion at various locations in the building, wherein the historical crowd flow concentration and dispersion is an average crowd flow at various locations in the building calculated based on historical crowd flow data at various locations in the building; The area in the building where the historical crowd concentration exceeds the crowd threshold is defined as the first area, where the first area is an area with more customers; Get the first area and the number of first areas, for example, the number of first areas is 3; Execute the first area crowd flow determination strategy.

[0021] The executing of the first area crowd flow determination strategy specifically includes: Acquire flow data of each first area, the flow data including first data C and second data D, the first data C is the number of customers entering the area, and the second data D is the number of customers leaving the area; Setting a time threshold A, where the time threshold is a threshold manually set according to actual conditions; Extracting first data C in each first region; Obtaining the stay time B of all customers in the first data C in each first area; Set a first threshold value E, the first threshold value E=the second data D+5%×the second data D; If the stay time B is greater than the time threshold A, and the first data C is greater than the first threshold E, then the first area is determined to be a first target area, where the first target area is an area where customers tend to stay, such as a rest area; Set a second threshold F, where the second threshold F=second data D±5%×second data D; If the dwell time B is less than the time threshold A, and the first data C is equal to the second threshold F, the first area is determined to be the second target area, which is an area with a large flow of people but closer to the passing area, such as an elevator area; Obtain the daily temperature of the first target area and the second target area; According to the temperature of the day, first adjustment data is formed for the first target area; According to the temperature of the day, second adjustment data is formed for the second target area.

[0022] Embodiment 3: This embodiment is an improvement made on the basis of Embodiment 2. In this embodiment, the intelligent adjustment and management of the ambient temperature and ventilation in the building according to the judgment data specifically includes: Obtaining real-time temperatures in buildings of the first target area and the second target area; Setting a temperature threshold, wherein the temperature threshold is a threshold range manually set according to actual conditions; If the temperature on the day is greater than the temperature threshold, and the real-time temperature in the building is greater than the temperature threshold, the temperature is determined to be high; If the temperature on the day is less than the temperature threshold, and the real-time temperature in the building is less than the temperature threshold, the temperature is judged to be low; If the temperature on the day is greater than the temperature threshold, but the real-time temperature in the building is less than the temperature threshold, no judgment is made; Acquire historical crowd flow information of the first target area, wherein the historical crowd flow information includes a peak crowd flow time period, and the peak crowd flow time period is a time period from when customers begin to gather in the area to when all customers leave; Setting a first temperature adjustment time, such as the first half hour of a peak flow time period in the first target area; Get the number of the first target area, if the number of the first target area is 1; When the first temperature adjustment time is reached, the temperature at the first target area is controlled and adjusted; If it is determined that the temperature at the first target area is high, the temperature control device at the first target area is controlled to cool down until the temperature at the first target area is equal to the temperature threshold; If it is determined that the temperature at the first target area is low, controlling the temperature control device at the first target area to increase the temperature until the temperature at the first target area is equal to the temperature threshold; Get the number of the second target area, if the number of the first target area is 2; Obtain the peak time periods of the flow of people in the second target area, such as the peak time periods of the flow of people in the second target area are 10:00-13:00 and 10:20-13:20 respectively; Setting an interval time threshold G, where the interval time threshold G is a time threshold manually set according to actual conditions, such as the interval time threshold G is 15 minutes; Setting a second temperature adjustment time, such as the first half hour of the peak flow time period of the second target area; Calculate the interval time H between the peak traffic hours of each second target area, for example, the interval time H is 20 minutes; If the interval time H is greater than the interval time threshold G, it is determined that the customers in each second target area are the same; When each second temperature adjustment time is reached, the temperature at the second target area is controlled and adjusted; If the interval time H is less than the interval time threshold G, it is determined that the customers in each second target area are different; then comparing the second temperature adjustment time of each second target area; Select the earliest second temperature adjustment time, and locate the third temperature adjustment time; When the third temperature adjustment time is reached, controlling and adjusting the temperature at the second target area; If it is determined that the temperature at the second target area is high, controlling the temperature control device at the second target area to cool down until the temperature at the second target area is equal to the temperature threshold; If it is determined that the temperature at the second target area is low, the temperature control device at the second target area is controlled to increase the temperature until the temperature at the second target area is equal to the temperature threshold.

[0023] Embodiment 4: This embodiment is an improvement made on the basis of embodiment 3. This solution takes into account that, except for spring and autumn when there is no need for cooling or heating to adjust the temperature, ventilation can be carried out by intelligently adjusting the window angle on rainy days in summer, thereby achieving the effect of regulating ventilation and temperature in the building.

[0024] In this embodiment, judging whether the ambient temperature and ventilation in the building need to be adjusted according to the target information and forming judgment data for regulation also includes: Get real-time weather information of the target; Set target weather, such as rainy day; If the real-time weather reaches the target weather, the collection date is obtained; According to the collection date, determine the quarter corresponding to the collection date, and position the quarter as the target quarter; Set an adjustment quarter, such as the third quarter; If the target quarter is equal to the adjusted quarter, ventilation is determined; If the target quarter is not equal to the adjustment quarter, no judgment is made.

[0025] Embodiment 4: This embodiment is an improvement made on the basis of embodiment 3. Figure 2-Figure 4 In this embodiment, the intelligent adjustment and management of the ambient temperature and ventilation in the building according to the judgment data also includes: Determine ventilation; Get the window opening direction of the building's window; The second plane of the window is provided with two partitions for shielding rainwater; When the window is closed, the partition is located at the window, so that the second plane of the window on the side where the partition is provided is in contact with the first plane; When the window is opened, the partition plays a role of shielding rainwater when the target weather occurs; Get real-time wind speed and direction outside the building; If the wind direction is inconsistent with the window opening direction, no judgment will be made; If the wind direction is consistent with the window opening direction, the ventilation adjustment strategy is implemented.

[0026] Wherein, the execution of the ventilation adjustment strategy specifically includes: Get the window opening angle; Get the direction of rain affected by wind direction; Determine the position Z of rainwater passing through the first port of the window to the second plane; Set the window opening direction as the positive direction; Get the radius Q; Setting a distance threshold X, where the distance threshold X is a distance threshold set from the third port to the second port, such as 5 cm from the third port; Calculate the distance Y from the third port to the radius Q; If it is determined to be the first position, the window is controlled to open in the positive direction until the distance Y is equal to the distance threshold X; If it is determined to be the second position, the window is controlled to open in the negative direction until the distance Y is equal to the distance threshold X.

[0027] This embodiment also provides that the determination of the position Z of rainwater passing through the first port of the window to the second plane is specifically: Establish a spatial model to simulate the effect of different wind speeds on the direction of raindrops falling; Simulate different wind speeds in the window opening direction; The direction in which raindrops fall under different wind speeds in the window opening direction is collected, and the direction is defined as the first direction; The direction perpendicular to the ground is defined as the second direction; Obtaining an angle W between the first direction and the second direction at different wind speeds in the window opening direction; Acquire a distance V between a first port and a second port of the window, wherein the first port is an upper end of the window and the second port is a lower end of the window; Taking any point O of the first port of the window as the starting point and the first direction as the vector direction, draw an extension line Y until the extension line Y connects to any point P on the second plane; Calculate the length U of the extended line Y, length U = distance V / cos angle W; Calculate the distance T between point P and the second port, distance T = length U × sin angle W; Obtaining a distance S between a third port of the window and a second port of the window, wherein the third port is an upper end of the window; Calculate the distance R between the third port and point P, distance R = distance S - distance T; Simulate the range of water splashes caused by raindrops falling under different wind speeds in the window opening direction, and set this range as the target range; Taking the point P where the raindrop falls as the center point, obtain the radius Q of the target range; The positions, angles W, lengths U, distances T, distances R, and radii Q of all simulated points P are integrated to form a data set.

[0028] This embodiment also provides that the step of determining the position Z of rainwater passing through the first port of the window to the second plane further includes: Get the window opening direction and set the direction as the target direction; Get real-time wind speed; Extract the point P corresponding to the real-time wind speed in the spatial model; Get the data set; Extract the radius Q and distance R corresponding to the position of point P in the data set; Compare radius Q and distance R; If the radius Q is smaller than the distance R, it is determined to be the first position; If the radius Q is greater than the distance R, it is determined to be the second position.

[0029] In this embodiment, the acquisition module acquires target information, and the judgment module determines whether the ambient temperature and ventilation in the building need to be adjusted based on the target information, and forms judgment data for regulation. The regulation module intelligently adjusts and manages the ambient temperature and ventilation in the building based on the judgment data, and intelligently performs cooling or heating according to the degree of crowd gathering in the building to achieve the effect of regulating the temperature, thereby preventing the temperature regulation equipment from still performing high-power cooling or heating when the number of people is sparse. According to the current season and weather, it is determined whether to ventilate, establish a spatial model, and obtain the wind speed and wind direction when it is currently raining, so as to intelligently adjust the window opening angle according to different wind speeds to prevent rainwater from flowing into the room, so that ventilation and rain protection can be taken into account at the same time on rainy days, and waste of resources in summer can be avoided, thereby achieving the effect of saving energy.

[0030] The control module in the embodiment of the present disclosure may include but is not limited to mobile terminals such as laptop computers, PADs (tablet computers), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., as well as fixed terminals.

[0031] The control module may include a processing device (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) or a program loaded from a storage device into a random access memory (RAM). In the RAM, various programs and data required for the operation of the control module are also stored. The processing device, ROM, and RAM are connected to each other through a bus. The input / output (I / O) interface is also connected to the bus.

[0032] Typically, the following devices may be connected to the I / O interface: input devices such as touch screens, touch pads, image sensors, microphones, etc.; output devices such as liquid crystal displays (LCDs), speakers, etc.; storage devices such as magnetic tapes, hard disks, etc.; and communication devices. The communication devices may allow the control module to communicate with other devices wirelessly or by wire to exchange data.

[0033] The embodiment of the present disclosure also provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the intelligent energy-saving building management method in the aforementioned method embodiment.

[0034] It should be noted that more specific examples of computer-readable storage media may include portable computer disks, hard disks, erasable programmable read-only memories (EPROMs or flash memories), optical storage devices, magnetic storage devices, or any suitable combination thereof. In the present disclosure, computer-readable storage media may be any tangible medium that contains or stores a program, which may be used by or in combination with an instruction execution system, apparatus, or device, and the computer-readable medium may be included in the control module; or it may exist independently without being assembled into the control module.

[0035] The computer-readable medium carries one or more programs. When the one or more programs are executed by the control module, the control module can implement the solution provided by the method embodiment.

[0036] Computer program code for performing operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, and may be executed entirely on a user's computer, partially on a user's computer, as a separate software package, partially on a user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0037] 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.

[0038] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A smart energy-saving building management method, characterized in that: include: Acquisition module: obtain target information; The target information includes real-time weather, flow of people in the building, temperature in the building, and real-time wind speed and direction outside the building; Judgment module: Based on the target information, it determines whether the ambient temperature and ventilation in the building need to be adjusted, and forms judgment data for regulation; Control module: intelligently adjust and manage the ambient temperature and ventilation in the building based on the judgment data; The method of judging whether the ambient temperature and ventilation in the building need to be adjusted according to the target information and forming judgment data for regulation specifically includes: Obtain the traffic volume in the building of the target information; Get the terrain distribution within the building; Acquire historical pedestrian flow information in the building, wherein the historical pedestrian flow information includes historical pedestrian volume; Set the flow threshold; Get historical foot traffic at various locations within the building; Obtaining historical crowd flow concentration and dispersion at various locations in the building, wherein the historical crowd flow concentration and dispersion is an average crowd flow at various locations in the building calculated based on historical crowd flow data at various locations in the building; The area within the building where the historical crowd concentration exceeds the crowd threshold is defined as the first area; Get the first area and the number of first areas; Execute the first area crowd flow determination strategy.

2. The intelligent energy-saving building management method according to claim 1, characterized in that: The executing of the first area crowd flow determination strategy specifically includes: Acquire flow data of each first area, the flow data including first data C and second data D, the first data C is the number of customers entering the area, and the second data D is the number of customers leaving the area; Set time threshold A; Extracting first data C in each first region; Obtaining the stay time B of all customers in the first data C in each first area; Set a first threshold value E, the first threshold value E=the second data D+5%×the second data D; If the residence time B is greater than the time threshold A, and the first data C is greater than the first threshold E, then the first area is determined to be the first target area; Set a second threshold F, where the second threshold F=second data D±5%×second data D; If the residence time B is less than the time threshold A, and the first data C is equal to the second threshold F, then the first area is determined to be the second target area; Obtain the daily temperature of the first target area and the second target area; According to the temperature of the day, forming first adjustment data for the first target area; According to the temperature of the day, second adjustment data is formed for the second target area.

3. The intelligent energy-saving building management method according to claim 2 is characterized in that: The intelligent adjustment and management of the ambient temperature and ventilation in the building based on the judgment data specifically includes: Obtaining real-time temperatures in buildings of the first target area and the second target area; Set temperature thresholds; If the temperature on the day is greater than the temperature threshold, and the real-time temperature in the building is greater than the temperature threshold, the temperature is determined to be high; If the temperature on the day is less than the temperature threshold, and the real-time temperature in the building is less than the temperature threshold, the temperature is judged to be low; If the temperature on the day is greater than the temperature threshold, but the real-time temperature in the building is less than the temperature threshold, no judgment is made; Acquire historical crowd flow information of the first target area, wherein the historical crowd flow information includes a peak crowd flow time period, and the peak crowd flow time period is a time period from when customers begin to gather in the area to when all customers leave; Setting a first temperature adjustment time; Get the number of the first target area; When the first temperature adjustment time is reached, the temperature at the first target area is controlled and adjusted; If it is determined that the temperature at the first target area is high, the temperature control device at the first target area is controlled to cool down until the temperature at the first target area is equal to the temperature threshold; If it is determined that the temperature at the first target area is low, controlling the temperature control device at the first target area to increase the temperature until the temperature at the first target area is equal to the temperature threshold; Get the number of the second target area; Obtain the peak time period of passenger flow in the second target area; Set the interval time threshold G; Setting the second temperature adjustment time; Calculate the interval time H of the peak flow time period between each second target area; If the interval time H is greater than the interval time threshold G, it is determined that the customers in each second target area are the same; When each second temperature adjustment time is reached, the temperature at the second target area is controlled and adjusted; If the interval time H is less than the interval time threshold G, it is determined that the customers in each second target area are different; then comparing the second temperature adjustment time of each second target area; Select the earliest second temperature adjustment time, and locate the third temperature adjustment time; When the third temperature adjustment time is reached, controlling and adjusting the temperature at the second target area; If it is determined that the temperature at the second target area is high, controlling the temperature control device at the second target area to cool down until the temperature at the second target area is equal to the temperature threshold; If it is determined that the temperature at the second target area is low, the temperature control device at the second target area is controlled to increase the temperature until the temperature at the second target area is equal to the temperature threshold.

4. The intelligent energy-saving building management method according to claim 1, characterized in that: The step of judging whether the ambient temperature and ventilation in the building need to be adjusted according to the target information and forming judgment data for regulation also includes: Get real-time weather information of the target; Set target weather; If the real-time weather reaches the target weather, the collection date is obtained; According to the collection date, determine the quarter corresponding to the collection date, and position the quarter as the target quarter; Set adjustment quarter; If the target quarter is equal to the adjusted quarter, ventilation is determined; If the target quarter is not equal to the adjustment quarter, no judgment is made.

5. The intelligent energy-saving building management method according to claim 4 is characterized in that: The intelligent adjustment and management of the ambient temperature and ventilation in the building according to the judgment data also includes: Determine ventilation; Get the window opening direction of the building's window; The second plane of the window is provided with two partitions for shielding rainwater; When the window is closed, the partition is located at the window, so that the second plane of the window on the side where the partition is provided is in contact with the first plane; When the window is opened, the partition plays a role of shielding rainwater when the target weather occurs; Get real-time wind speed and direction outside the building; If the wind direction is inconsistent with the window opening direction, no judgment will be made; If the wind direction is consistent with the window opening direction, the ventilation adjustment strategy is implemented.

6. The intelligent energy-saving building management method according to claim 5, characterized in that: The implementation of the ventilation adjustment strategy specifically includes: Get the window opening angle; Get the direction of rain affected by wind direction; Determine the position Z of rainwater passing through the first port of the window to the second plane; Set the window opening direction as the positive direction; Get the radius Q; Setting a distance threshold X, where the distance threshold X is a distance threshold set in a direction from the third port to the second port; Calculate the distance Y from the third port to the radius Q; If it is determined to be the first position, the window is controlled to open in the positive direction until the distance Y is equal to the distance threshold X; If it is determined to be the second position, the window is controlled to open in the negative direction until the distance Y is equal to the distance threshold X.

7. The intelligent energy-saving building management method according to claim 6, characterized in that: The determination of the position Z of rainwater passing through the first port of the window to the second plane is specifically: Establish a spatial model to simulate the effect of different wind speeds on the direction of raindrops falling; Simulate different wind speeds in the window opening direction; The direction in which raindrops fall under different wind speeds in the window opening direction is collected, and the direction is defined as the first direction; The direction perpendicular to the ground is defined as the second direction; Obtaining an angle W between the first direction and the second direction at different wind speeds in the window opening direction; Acquire a distance V between a first port and a second port of the window, wherein the first port is an upper end of the window and the second port is a lower end of the window; Taking any point O of the first port of the window as the starting point and the first direction as the vector direction, draw an extension line Y until the extension line Y connects to any point P on the second plane; Calculate the length U of the extended line Y, length U = distance V / cos angle W; Calculate the distance T between point P and the second port, distance T = length U × sin angle W; Obtaining a distance S between a third port of the window and a second port of the window, wherein the third port is an upper end of the window; Calculate the distance R between the third port and point P, distance R = distance S - distance T; Simulate the range of water splashes caused by raindrops falling under different wind speeds in the window opening direction, and set this range as the target range; Taking the point P where the raindrop falls as the center point, obtain the radius Q of the target range; The positions, angles W, lengths U, distances T, distances R, and radii Q of all simulated points P are integrated to form a data set.

8. The intelligent energy-saving building management method according to claim 7, characterized in that: The step of determining the position Z of rainwater passing through the first port of the window to the second plane also includes: Get the window opening direction and set the direction as the target direction; Get real-time wind speed; Extract the point P corresponding to the real-time wind speed in the spatial model; Get the data set; Extract the radius Q and distance R corresponding to the position of point P in the data set; Compare radius Q and distance R; If the radius Q is smaller than the distance R, it is determined to be the first position; If the radius Q is greater than the distance R, it is determined to be the second position.

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