Building energy-saving control method, device and equipment based on edge intelligent control and medium

Abstract

The invention discloses a building energy-saving control method, device and equipment based on edge intelligent control and a medium. The method comprises the following steps: extracting historical personnel position data of personnel positions in each region; extracting historical equipment operation data of each region; the historical equipment operation data is historical data information that the personnel turn on the air conditioner and the lighting device for operation; constructing a behavior feature model based on the historical personnel position data and the historical equipment operation data; predicting behaviors of the personnel according to the behavior feature model to obtain a corresponding behavior prediction result; and sending a corresponding control instruction to the air conditioner and the lighting device based on the behavior prediction result and the corresponding environment parameter information, and performing energy-saving control on the building by controlling the air conditioner and the lighting device. The behavior feature model is constructed by extracting the historical personnel position data and the historical equipment operation data, and personnel behaviors are predicted, so that equipment in a corresponding area is started in advance, the user experience is improved, and efficient control is realized.

Description

Technical Field

[0001] The present invention relates to the field of intelligent buildings, and in particular to a building energy-saving control method, device, equipment and medium based on edge intelligent control. Background Art

[0002] In the field of construction, current energy-saving control strategies are mostly based on the current state of the environment to adjust the state of the equipment. They rely on sensors to accurately monitor the current state. If the sensor accuracy is insufficient or fails, it will lead to strategy adjustment errors. In addition, strategies adjusted based on the current state of the environment may not result in timely energy control, and cannot predict or adapt to future changes in usage needs, such as personnel flow, resulting in inefficient energy management and poor user experience. Summary of the invention

[0003] In order to solve the problems in the prior art methods, the embodiments of the present invention provide a building energy-saving control method, device, equipment and medium based on edge intelligent control.

[0004] In a first aspect, an embodiment of the present invention provides a building energy-saving control method based on edge intelligent control, wherein a building space includes multiple areas, an edge intelligent control device is arranged in the building space, and the method is applied to the edge intelligent control device; each of the areas is provided with a millimeter-wave radar, an air conditioner, and a lighting device that are communicatively connected to the edge intelligent control device, and each of the areas is also provided with an indoor temperature sensor, an indoor humidity sensor, an outdoor temperature sensor, and an outdoor humidity sensor that are communicatively connected to the edge intelligent control device, and the method includes: Extract historical personnel location data of personnel locations in each area; Extracting historical equipment operation data of each area; the historical equipment operation data is historical data information of personnel turning on air conditioners and lighting devices for operation; Constructing a behavior feature model based on the historical personnel location data and the historical equipment operation data; Predicting the behavior of the person according to the behavior feature model to obtain a corresponding behavior prediction result; Based on the behavior prediction result and the corresponding environmental parameter information, corresponding control instructions are sent to the air conditioner and the lighting device, so as to perform energy-saving control on the building by controlling the air conditioner and the lighting device.

[0005] In a second aspect, an embodiment of the present invention provides an edge intelligent control building energy-saving control device, wherein a building space includes multiple areas, an edge intelligent control device is arranged in the building space, and the building energy-saving control device based on edge intelligent control can be configured in the edge intelligent control device, and the device is used to execute the building energy-saving control method based on edge intelligent control as described in the first aspect, each of the areas is provided with a millimeter wave radar, an air conditioner and a lighting device that are communicatively connected to the edge intelligent control device, and each of the areas is also provided with a temperature sensor, a humidity sensor, an outdoor temperature sensor and an outdoor humidity sensor that are communicatively connected to the edge intelligent control device, and the device includes: A first data acquisition unit, used to extract historical personnel location data of personnel locations in each area; The second data acquisition unit is used to extract historical equipment operation data of each area; the historical equipment operation data is historical data information of personnel turning on air conditioners and lighting devices; A construction unit, configured to construct a behavior feature model based on the historical personnel location data and the historical equipment operation data; A prediction unit, used to predict the behavior of the person according to the feature model to obtain a corresponding behavior prediction result; An instruction sending unit is used to send corresponding control instructions to the air conditioner and the lighting device based on the behavior prediction result and the corresponding environmental parameter information, so as to perform energy-saving control on the building by controlling the air conditioner and the lighting device.

[0006] In a third aspect, an embodiment of the present invention provides a computer device, the device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory, used to store computer programs; The processor is used to implement the steps of the building energy-saving control method based on edge intelligent control described in the first aspect when executing the program stored in the memory.

[0007] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the building energy-saving control method based on edge intelligent control as described in the first aspect are implemented.

[0008] The embodiment of the present invention provides a building energy-saving control method, device, equipment and medium based on edge intelligent control, the method includes: extracting historical personnel location data of personnel in each area; extracting historical equipment operation data of each area; the historical equipment operation data is historical data information of personnel turning on air conditioners and lighting devices for operation; constructing a behavior feature model based on the historical personnel location data and the historical equipment operation data; predicting the behavior of the personnel according to the behavior feature model to obtain corresponding behavior prediction results; based on the behavior prediction results and corresponding environmental parameter information, sending corresponding control instructions to the air conditioner and the lighting device, so as to control the building energy saving by controlling the air conditioner and the lighting device. By extracting the historical personnel location data and the historical equipment operation data to construct a behavior feature model, the behavior of the personnel in the future period of time is predicted, so as to turn on the equipment in the corresponding area in advance, so as to avoid turning on the corresponding equipment after the user arrives at the area, and the corresponding equipment needs to work for a period of time before the environment reaches the most comfortable state for the user, improve the user experience, realize efficient control, and save energy; and in combination with the environmental parameters of the area, the corresponding equipment is controlled to start with better parameters, so as to ensure the user experience while saving energy and reducing emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0010] Figure 1 A flow chart of a building energy-saving control method based on edge intelligent control provided by an embodiment of the present invention; Figure 2 A schematic diagram of an application scenario of the building energy-saving control method based on edge intelligent control provided by an embodiment of the present invention; Figure 3 A sub-flow chart of a building energy-saving control method based on edge intelligent control provided by an embodiment of the present invention; Figure 4 A schematic block diagram of a building energy-saving control device based on edge intelligent control provided by an embodiment of the present invention; Figure 5 A schematic block diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0011] 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 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.

[0012] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0013] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0014] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0015] It should also be noted that, unless otherwise clearly specified and limited, the terms such as "installed", "connected", "connected", "fixed", "set" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. When an element is referred to as being "on" or "under" another element, the element can be "directly" or "indirectly" located on the other element, or there may be one or more intermediate elements. The terms "first", "second", "third", etc. are only for the convenience of describing the present technical solution, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first", "second", "third", etc. can explicitly or implicitly include one or more of the features. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0016] See also Figure 1 and Figure 2, an embodiment of the present invention application provides a building energy-saving control method based on edge intelligent control, wherein the building space includes multiple areas, an edge intelligent control device 10 is arranged in the building space, and the method is applied to the edge intelligent control device 10; each of the areas is provided with a millimeter-wave radar 20, an air conditioner 30 and a lighting device 40 which are communicatively connected to the edge intelligent control device 10, and each of the areas is also provided with an indoor temperature sensor 50, an indoor humidity sensor 60, an outdoor temperature sensor 70 and an outdoor humidity sensor 80 which are communicatively connected to the edge intelligent control device 10. Among them, the building space may be a home place, and the multiple areas may include a living room, a bedroom and a kitchen, etc. The edge intelligent control device 10 is arranged in the building space, and can receive and send data nearby to control other devices which are communicatively connected to it. The millimeter-wave radar 20 can be used to scan the interior of the building space to obtain spatial information of each area, object information in the space and status information of personnel. The spatial information may include area information and volume information, the object information may include object shape information and object position information, and the status information of personnel may include personnel position information, personnel posture information and personnel quantity information. As Figure 1 As shown, the method includes steps S110 to S150.

[0017] S110, extracting historical personnel location data of personnel in each area.

[0018] Extract historical personnel location data of personnel in each area. The millimeter-wave radar installed in each area performs real-time and dynamic scanning of the space within its scanning range to obtain the status information of personnel in the corresponding area and transmit it to the edge intelligent control device in real time. The edge intelligent control device saves the status information of the personnel it receives and records the time when it receives the status information of the personnel. The personnel location information corresponding to each time constitutes the historical personnel location data. The edge intelligent control device extracts the saved historical personnel location data for analysis.

[0019] Specifically, the historical personnel location data includes the number of people in each area corresponding to the specific time period of each day, and the specific location of the people in each area. The specific time period can be counted as one time period every hour. For example, in the time period from 17:00 to 18:00, there are two people in the living room area, one of whom is located in the sofa area, the other is located in the dining table area, and there is one person in the kitchen area; in the time period from 18:00 to 19:00, there are four people in the living room area, all of whom are located in the dining table area. In addition, the historical personnel location data includes at least personnel location data within a week, wherein, when recording the time of receiving the status information of the person, in addition to recording its date and specific time, such as 16:30 on August 25, its specific date within the week is also recorded to distinguish Monday to Friday, Saturday and Sunday.

[0020] S120, extracting historical equipment operation data of each area; the historical equipment operation data is historical data information of personnel turning on air conditioners and lighting devices for operation.

[0021] Extract historical equipment operation data of each area; the historical equipment operation data is the historical data information of personnel turning on the air conditioner and lighting device for operation. When the air conditioners and lighting devices installed in each area are turned on or off by personnel, the start-up information and the shutdown information are sent to the edge intelligent control device. The start-up information includes the start-up time point and the start-up parameters. For example, the air conditioner in the living room is turned on at 17:00 on August 28, and the temperature parameter of the air conditioner is 24 degrees Celsius. The shutdown information includes the shutdown time point. The edge intelligent control device saves the historical equipment operation data information of each area it receives as historical equipment operation data to facilitate the extraction of historical equipment operation data for analysis.

[0022] Specifically, the historical equipment operation data includes the date of starting the air conditioner and lighting device in each region in each quarter, the specific time period of starting the air conditioner and lighting device in each region every day, and the specific duration of starting the air conditioner and lighting device in each specific time period. For example, one of the days in summer when the air conditioner and lighting device are started is August 23-Friday. The cooling mode of the air conditioner is turned on from 12:00 to 14:00 on August 23, and the air conditioner temperature parameter is set to 24 degrees Celsius. The air conditioner runs for a total of 1.2 hours during this time period.

[0023] S130: constructing a behavior feature model based on the historical personnel location data and the historical equipment operation data.

[0024] A behavior feature model is constructed based on the historical personnel location data and the historical equipment operation data. The edge intelligent control device organizes the historical personnel location data and the historical equipment operation data it stores to establish a data set and perform model training. The data set contains various data examples of features and labels. An example can be regarded as a row in a spreadsheet. A feature is a value used to predict a label in a behavior feature model, i.e., date information, time period information, etc. in this embodiment; a label is the personnel location information in this embodiment. Please refer to Table 1 (Historical Personnel Location Data Set):

[0025] Then, in the process of constructing the behavior feature model, the edge intelligent control device compares the predicted personnel location with the actual personnel location of the label, adjusts the behavior feature model based on the difference between the two, and gradually updates it until the prediction result of the positioning model reaches an expected accuracy rate, so as to make the best prediction for the personnel.

[0026] In a specific embodiment, the step S130, constructing a behavior characteristic model based on the historical personnel location data and the historical equipment operation data, includes sub-steps: constructing a first behavior characteristic model according to the historical personnel location data; and constructing a second behavior characteristic model based on the first behavior characteristic model in combination with the historical equipment operation data.

[0027] Specifically, the edge intelligent control device first constructs a first behavior feature model by establishing a historical personnel location data set. The first behavior feature model can predict the personnel location. However, the first behavior feature model only predicts the location of the personnel in a certain period of time. Therefore, the edge intelligent control device also establishes a historical device operation data set through the historical device operation data it saves, such as Table 2 (Historical Device Operation Data Set):

[0028] Therefore, a second behavior characteristic model is constructed on the basis of the first behavior characteristic model. By inputting the date and time period into the second behavior characteristic model, the predicted personnel location and the predicted status of the air conditioning and lighting devices in the corresponding area can be output. The predicted personnel location and the predicted status of the air conditioning and lighting devices in the corresponding area are combined to obtain the corresponding predicted behavior results. For example, it is predicted that there will be people in the kitchen area in a certain time period of a certain day, and the air conditioning and lighting devices in the kitchen area are both on. Then, the behavior result is that the people will prepare meals in the kitchen area during this time period. It should be noted that the role of date 1 in the above data set in the behavior feature model is to collect enough data to obtain the needs of personnel for air conditioning and lighting devices in a certain time period of a certain day in different seasons; the role of date 2 in the above data set in the behavior feature model is to collect enough data to obtain the location of the area where the personnel are located in a certain time period of a certain day on a weekday or weekend. That is, the behavior feature model constructed by the above two data sets, when making predictions, the input is time information and is not required to be completely corresponding to date 1 and date 2 of a certain data in the data set, because in different years, date 1 and date 2 are not completely the same as date 1 and date 2 in the stored data set. For example, July 19, 2024 is Friday, and July 19, 2025 is Saturday. If it is necessary to make a behavior prediction for a certain time period on July 19, 2025, the time information required to be input into the behavior feature model is [summer, weekend, corresponding time period].

[0029] S140: predicting the behavior of the person according to the behavior feature model to obtain a corresponding behavior prediction result.

[0030] The behavior of the person is predicted according to the behavior feature model to obtain a corresponding behavior prediction result. The time and date to be predicted are input into the behavior feature model, and the behavior feature model outputs the predicted person position through calculation, thereby obtaining a behavior prediction result.

[0031] Specifically, first determine the time period of the moment to be predicted, input the date and time period into the second behavior feature model, calculate and output the predicted personnel position, air conditioning and lighting device status, and obtain the behavior prediction result.

[0032] In a specific embodiment, the step S140 predicts the behavior of the person according to the behavior feature model to obtain a corresponding behavior prediction result, such as Figure 3 As shown, it includes sub-steps S141~S145.

[0033] S141. Based on the current time information, confirm the time period, season information and week information to be predicted.

[0034] Based on the current time information, confirm the time period that needs to be predicted. Among them, the current time information at least includes the current moment and date 2 in the above-mentioned data set. The time period that needs to be predicted is the next time period of the time period of the current moment. For example, if the current time information is [Friday, 16:50], then confirm that the time period that needs to be predicted is 17:00~18:00. Among them, the main function of confirming date 2 is to distinguish whether the day is a weekday or a weekend, so as to distinguish the different work and rest schedules of weekdays and weekends, and improve the prediction accuracy of the behavior feature model for the location of personnel. The current time information may also include date 1 in the above-mentioned data set. The main function of date 1 is to confirm the current quarter, so as to distinguish the different needs for equipment caused by seasonal changes, and improve the prediction accuracy of the behavior feature model for the status of air conditioners and lighting devices.

[0035] S142: Input the time period, season information, and week information to be predicted into the feature model to obtain the predicted location of personnel and the predicted status of air conditioners and lighting devices in the corresponding area.

[0036] Input the time period, season information and week information to be predicted in the feature model to obtain the predicted position of the personnel and the predicted status of the air conditioner and lighting device in the corresponding area. For example, input [summer, weekend, 17:00~18:00] to obtain the following prediction results: [living room area: 2 people, air conditioner on, lighting device on; kitchen area: 1 person, air conditioner on, lighting device on; bedroom area: 1 person, air conditioner on, lighting device off].

[0037] S143, traverse the pre-stored mapping relationship table between personnel positions, air conditioners, lighting devices and behaviors to obtain preliminary predicted behavior results.

[0038] Traverse the pre-stored mapping relationship table of personnel positions, air conditioners, lighting devices and behaviors to obtain preliminary predicted behavior results. For example, Table 3 (part of the mapping relationship table):

[0039] S144. Obtain the current location information of the person.

[0040] Get the current location information of the personnel. The millimeter-wave radar in each area dynamically scans the area and sends the current location information of the personnel to the edge intelligent control device.

[0041] S145. Based on the current position information, the preliminary predicted behavior result is corrected to obtain a final predicted behavior result.

[0042] The control method provided in the embodiment of the present invention aims to predict the behavior of people in a certain period of time in the future, so as to send control instructions to the air conditioner or lighting device in advance to improve the user experience. However, the preliminary predicted behavior results cannot avoid the occurrence of unexpected events, which may cause the air conditioner or lighting device to be mistakenly turned on and waste energy. The preliminary predicted behavior results need to be corrected based on the current location information.

[0043] Specifically, based on the current location information, the preliminary predicted behavior result is corrected to obtain the final predicted behavior result, which includes the following sub-steps: determining whether the time interval between the current moment and the time period to be predicted is less than a preset value; if the time interval between the current moment and the time period to be predicted is less than a preset value, determining whether the current location information of the person has a trend of changing toward the preliminary predicted behavior result; if there is a trend of changing toward the preliminary predicted behavior result, confirming the preliminary predicted behavior result as the final predicted behavior result; if there is no trend of changing toward the preliminary predicted behavior result, changing the preliminary predicted behavior result, and using the changed predicted behavior result as the final predicted behavior result.

[0044] For example, the preset value is 10 minutes, the current time is 16:53 on a certain day of a weekend in summer, and the time period required for prediction is 17:00~18:00. According to the preliminary prediction behavior results, during this time period, there should be people in the living room area and people preparing meals in the dining room area. According to the preliminary prediction behavior results, control instructions should be sent to the air conditioners and lighting devices in the corresponding areas to turn them on in advance. If the current location information is > 0 for people in at least one area, it is judged that the current location information of the person has a trend of changing to the preliminary prediction behavior result, and the preliminary prediction behavior result is confirmed as the final prediction behavior result, and the corresponding control instructions are sent to the air conditioner and the lighting device to turn them on in advance; if the current location information of the people in each area is not greater than 0, it is judged that the current location information of the person has no trend of changing to the preliminary prediction behavior result, and the prediction behavior result is changed to all people going out, which is used as the final prediction behavior result, and the corresponding control instructions are sent to the air conditioner and the lighting device to prevent them from turning on.

[0045] S150. Based on the behavior prediction result and the corresponding environmental parameter information, corresponding control instructions are sent to the air conditioner and the lighting device, so as to perform energy-saving control on the building by controlling the air conditioner and the lighting device.

[0046] Based on the behavior prediction results and the corresponding environmental parameter information, corresponding control instructions are sent to the air conditioner and the lighting device, so as to control the energy saving of the building by controlling the air conditioner and the lighting device. Through the behavior prediction results, the change of the personnel position is judged, and the edge intelligent control device confirms the area where the target device to which the control instruction is sent is located, and obtains the environmental parameter information of the area, and obtains the optimal working parameters of the corresponding device in combination with the environmental parameters, thereby generating a control instruction and sending it to the corresponding air conditioner and lighting device, controlling the device to be turned on in advance, and the turn-on time is when the interval between the current moment and the time period to be predicted is less than the preset value, and the preset value can be the same as the preset value mentioned in the sub-step of step S145, that is, after confirming the final predicted behavior result, the control instruction is sent to the device in the corresponding area, so that the user can experience the comfortable temperature or space brightness in time, improve the user experience, and according to the current environmental parameters, control the corresponding device to work in a better mode and power, so that the user experience is better, and reduce the energy loss caused by the user's frequent adjustment of the device.

[0047] In a specific embodiment, the step S150, sending corresponding control instructions to the air conditioner and the lighting device based on the behavior prediction result and the corresponding environmental parameter information, includes sub-steps: Obtain corresponding environmental parameter information, wherein the environmental parameter information may include indoor temperature information, indoor humidity information, outdoor temperature information and outdoor humidity information; obtain target control parameters corresponding to the environmental parameter information according to the behavior prediction results; generate corresponding control mode instructions according to the target control parameters and send them to the air conditioner and the lighting device.

[0048] Specifically, the corresponding environmental parameter information is obtained. The indoor temperature information can be detected by the indoor temperature sensor and sent to the edge intelligent control device; the indoor humidity information can be detected by the indoor humidity sensor and sent to the edge intelligent control device; the outdoor temperature information can be detected by the outdoor temperature sensor and sent to the edge intelligent control device; the outdoor humidity information can be detected by the outdoor humidity sensor and sent to the edge intelligent control device. According to the behavior prediction results, the target control parameters corresponding to the environmental parameter information are obtained, that is, according to the behavior prediction results, the area corresponding to the device that needs to be turned on in advance is confirmed, and the environmental parameter information of the area is obtained, where the indoor temperature is A degrees Celsius, the outdoor temperature is B degrees Celsius, the indoor relative humidity is D, and the outdoor relative humidity is E. A corresponding control mode instruction is generated according to the target control parameter and sent to the air conditioner and the lighting device. Taking summer in Guangdong as an example, if A>30 degrees Celsius, the target control parameter C is set to between 24 and 27 degrees Celsius, and the absolute value of CB is less than 8 degrees Celsius; if it is winter, the target control parameter C is set to between 20 and 24 degrees Celsius, and the absolute value of CB is less than 10 degrees Celsius. In summer, when E exceeds 60%, D is maintained between 40% and 60% through the target control parameter C' of the air conditioner. According to the target control parameters C and C', a corresponding control mode instruction is generated and sent to the air conditioner that is confirmed to be turned on in advance, so as to achieve the effect of energy saving and emission reduction while ensuring user comfort.

[0049] The environmental parameter information also includes indoor light intensity, and the target parameters of the lighting device are controlled so that the light intensity in the living room area is 1500-2000 lux and the light intensity in the bedroom area is 2000-3000 lux after it is turned on. A light sensor connected to the edge intelligent control device can be set to detect and send indoor light intensity information to the edge intelligent control device.

[0050] In a specific embodiment, after obtaining the target control parameter corresponding to the environmental parameter information according to the behavior prediction result, it also includes: obtaining the energy consumption parameter of the air conditioner; generating a corresponding control mode instruction according to the behavior prediction result and the energy consumption parameter and sending it to the air conditioner, wherein the control mode instruction includes the start-up time information of the air conditioner. By reasonably setting different start-up times for air conditioners with different energy consumption parameters, energy loss can be reduced. For example, the energy efficiency ratio (EER) in the energy consumption parameter, the start-up time of the air conditioner with a higher energy efficiency as the target air conditioner can be set to be longer than the start-up time of the air conditioner with a lower energy efficiency.

[0051] In the edge intelligent control-based building energy-saving control method, device, equipment and medium provided in the embodiment of the present invention, the method includes: extracting historical personnel location data of personnel locations in each area; extracting historical equipment operation data of each area; the historical equipment operation data is historical data information of personnel turning on air conditioners and lighting devices for operation; constructing a behavior feature model based on the historical personnel location data and the historical equipment operation data; predicting the behavior of the personnel according to the behavior feature model to obtain corresponding behavior prediction results; based on the behavior prediction results and the corresponding environmental parameter information, sending corresponding control instructions to the air conditioner and the lighting device, so as to control the building energy saving by controlling the air conditioner and the lighting device. By extracting the historical personnel location data and the historical equipment operation data to construct a behavior feature model, the behavior of the personnel in the future period of time is predicted, so as to turn on the equipment in the corresponding area in advance, so as to avoid turning on the corresponding equipment after the user arrives in the area, and the corresponding equipment needs to work for a period of time before the environment reaches the most comfortable state for the user, thereby improving the user experience, and combining the environmental parameters of the area, the corresponding equipment is controlled to start with better parameters, so as to ensure the user experience while saving energy and reducing emissions.

[0052] The embodiment of the present invention also provides a building energy-saving control device based on edge intelligent control, wherein the building space includes multiple areas, and edge intelligent control equipment is arranged in the building space. The building energy-saving control device based on edge intelligent control can be configured in the edge intelligent control equipment. The device is used to execute the building energy-saving control method based on edge intelligent control as described in any of the above embodiments. Each of the areas is provided with a millimeter-wave radar, air conditioner and lighting device that are communicatively connected to the edge intelligent control equipment. Each of the areas is also provided with a temperature sensor, humidity sensor, outdoor temperature sensor and outdoor humidity sensor that are communicatively connected to the edge intelligent control equipment. Specifically, please refer to Figure 4 , Figure 4A schematic block diagram of a building energy-saving control device based on edge intelligent control provided in an embodiment of the present invention, wherein the device 100 includes a first data acquisition unit 110, a second data acquisition unit 120, a construction unit 130, a prediction unit 140, and an instruction sending unit 150.

[0053] A first data acquisition unit, used to extract historical personnel location data of personnel locations in each area; The second data acquisition unit is used to extract historical equipment operation data of each area; the historical equipment operation data is historical data information of personnel turning on air conditioners and lighting devices; A construction unit, configured to construct a behavior feature model based on the historical personnel location data and the historical equipment operation data; A prediction unit, used to predict the behavior of the person according to the feature model to obtain a corresponding behavior prediction result; An instruction sending unit is used to send corresponding control instructions to the air conditioner and the lighting device based on the behavior prediction result and the corresponding environmental parameter information, so as to perform energy-saving control on the building by controlling the air conditioner and the lighting device.

[0054] The above-mentioned building energy-saving control device based on edge intelligent control can be implemented in the form of a computer program, which can be used in Figure 5 Runs on the computer device shown.

[0055] See also Figure 5 , Figure 5 is a schematic block diagram of a computer device provided in an embodiment of the present invention. The computer device may be used to execute a building energy-saving control method based on edge intelligent control, and the computer device may be an edge intelligent control device.

[0056] See also Figure 5 The computer device 300 includes a processor 302 , a memory and a network interface 305 connected via a communication bus 301 , wherein the memory may include a storage medium 303 and an internal memory 304 .

[0057] The storage medium 303 can store an operating system 3031 and a computer program 3032. When the computer program 3032 is executed, the processor 302 can execute a building energy-saving control method based on edge intelligent control, wherein the storage medium 303 can be a volatile storage medium or a non-volatile storage medium.

[0058] The processor 302 is used to provide computing and control capabilities to support the operation of the entire computer device 300 .

[0059] The internal memory 304 provides an environment for the operation of the computer program 3032 in the storage medium 303. When the computer program 3032 is executed by the processor 302, the processor 302 can execute a building energy-saving control method based on edge intelligent control.

[0060] The network interface 305 is used for network communication, such as providing data information transmission, etc. Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device 300 to which the solution of the present invention is applied. The specific computer device 300 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0061] The processor 302 is used to run a computer program 3032 stored in the memory to implement the corresponding functions in the above-mentioned building energy-saving control method based on edge intelligent control.

[0062] Those skilled in the art will understand that Figure 5 The embodiments of the computer device shown in the figure do not constitute a limitation on the specific composition of the computer device. In other embodiments, the computer device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. For example, in some embodiments, the computer device may only include a memory and a processor. In such embodiments, the structure and function of the memory and the processor are the same as those of the embodiment of the present invention. Figure 5 The embodiments shown are consistent and will not be described again here.

[0063] It should be understood that in the embodiment of the present invention, the processor 302 may be a central processing unit (CPU), and the processor 302 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0064] In another embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium may be a volatile or non-volatile computer-readable storage medium. The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps included in the above-mentioned building energy-saving control method based on edge intelligent control are implemented.

[0065] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the above-described equipment, devices and units can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. Those of ordinary skill in the art can appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to the function. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0066] In the several embodiments provided by the present invention, it should be understood that the disclosed equipment, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. Units with the same function may also be combined into one unit. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices or units, or may be an electrical, mechanical or other form of connection.

[0067] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0068] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0069] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a computer-readable storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a magnetic disk or an optical disk.

[0070] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A building energy-saving control method based on edge intelligent control, characterized in that: The building space includes multiple areas, and an edge intelligent control device is arranged in the building space. The method is applied to the edge intelligent control device; each of the areas is provided with a millimeter wave radar, an air conditioner, and a lighting device that are communicatively connected to the edge intelligent control device, and each of the areas is also provided with an indoor temperature sensor, an indoor humidity sensor, an outdoor temperature sensor, and an outdoor humidity sensor that are communicatively connected to the edge intelligent control device. The method includes: Extract historical personnel location data of personnel locations in each area; Extracting historical equipment operation data of each area; the historical equipment operation data is historical data information of personnel turning on air conditioners and lighting devices for operation; Constructing a behavior feature model based on the historical personnel location data and the historical equipment operation data; Predicting the behavior of the person according to the behavior feature model to obtain a corresponding behavior prediction result; Based on the behavior prediction result and the corresponding environmental parameter information, corresponding control instructions are sent to the air conditioner and the lighting device, so as to perform energy-saving control on the building by controlling the air conditioner and the lighting device.

2. The building energy-saving control method based on edge intelligent control according to claim 1 is characterized in that: The sending of corresponding control instructions to the air conditioner and the lighting device based on the behavior prediction result and the corresponding environmental parameter information includes: Get the corresponding environmental parameter information; Acquire a target control parameter corresponding to the environmental parameter information according to the behavior prediction result; A corresponding control mode instruction is generated according to the target control parameter and sent to the air conditioner and the lighting device.

3. The building energy-saving control method based on edge intelligent control according to claim 2 is characterized in that: After acquiring the target control parameter corresponding to the environmental parameter information according to the behavior prediction result, the method further includes: Get the energy consumption parameters of the air conditioner; A corresponding control mode instruction is generated according to the behavior prediction result and the energy consumption parameter and sent to the air conditioner, wherein the control mode instruction includes the start-up time information of the air conditioner.

4. The building energy-saving control method based on edge intelligent control according to claim 1 is characterized in that: Predicting the behavior of the person according to the behavior feature model to obtain corresponding behavior prediction results includes: Based on the current time information, confirm the time period, season information and week information required for prediction; Input the time period, season information and week information to be predicted into the feature model to obtain the predicted personnel position and the predicted status of the air conditioning and lighting devices in the corresponding area; Traverse the pre-stored mapping relationship table between personnel positions, air conditioners, lighting devices and behaviors to obtain preliminary predicted behavior results; Get the current location information of the person; Based on the current position information, the preliminary predicted behavior result is corrected to obtain a final predicted behavior result.

5. The building energy-saving control method based on edge intelligent control according to claim 1 is characterized in that: The constructing of a behavior feature model based on the historical personnel location data and the historical equipment operation data includes: Constructing a first behavior feature model according to the historical personnel location data; In combination with the historical equipment operation data, a second behavior characteristic model is constructed based on the first behavior characteristic model.

6. The building energy-saving control method based on edge intelligent control according to claim 1 is characterized in that: The historical equipment operation data includes the date when the air conditioner and lighting device are started in each area every quarter, the specific time period when the air conditioner and lighting device are started in each area every day, and the specific duration of starting the air conditioner and lighting device in each specific time period.

7. The building energy-saving control method based on edge intelligent control according to claim 1 is characterized in that: The historical personnel location data includes the number of personnel in each area corresponding to a specific time period of each day, and the specific location of the personnel in each area.

8. A building energy-saving control device based on edge intelligent control, characterized in that: The building space includes multiple areas, and an edge intelligent control device is arranged in the building space. The building energy-saving control device based on edge intelligent control can be configured in the edge intelligent control device. The device is used to execute the building energy-saving control method based on edge intelligent control according to any one of claims 1 to 7. Each of the areas is provided with a millimeter-wave radar, an air conditioner and a lighting device that are communicatively connected to the edge intelligent control device. Each of the areas is also provided with a temperature sensor, a humidity sensor, an outdoor temperature sensor and an outdoor humidity sensor that are communicatively connected to the edge intelligent control device. The device includes: A first data acquisition unit, used to extract historical personnel location data of personnel locations in each area; The second data acquisition unit is used to extract historical equipment operation data of each area; the historical equipment operation data is historical data information of personnel turning on air conditioners and lighting devices; A construction unit, configured to construct a behavior feature model based on the historical personnel location data and the historical equipment operation data; A prediction unit, used to predict the behavior of the person according to the feature model to obtain a corresponding behavior prediction result; An instruction sending unit is used to send corresponding control instructions to the air conditioner and the lighting device based on the behavior prediction result and the corresponding environmental parameter information, so as to perform energy-saving control on the building by controlling the air conditioner and the lighting device.

9. A computer device, characterized in that: The device includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory, used to store computer programs; The processor is used to implement the steps of the building energy-saving control method based on edge intelligent control described in any one of claims 1 to 7 when executing the program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the building energy-saving control method based on edge intelligent control are implemented as described in any one of claims 1 to 7.

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