CN211207107U - Intelligent household control system - Google Patents
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- CN211207107U CN211207107U CN201920995106.8U CN201920995106U CN211207107U CN 211207107 U CN211207107 U CN 211207107U CN 201920995106 U CN201920995106 U CN 201920995106U CN 211207107 U CN211207107 U CN 211207107U
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Abstract
The utility model relates to an intelligent home control system, which comprises a central controller, an intelligent gateway, home equipment and environment monitoring equipment; the central controller is connected with the intelligent gateway through a network; the intelligent gateway is connected with the home equipment through a network; the environment monitoring equipment is connected with the intelligent gateway through a network; the environment monitoring equipment is used for acquiring environment monitoring data in a target area and transmitting the acquired environment monitoring data to the intelligent gateway; the intelligent gateway is used for transmitting the environment monitoring data to the central controller; the central controller is used for generating a control instruction for one or more household devices in a target area according to the environment monitoring data, and sending the control instruction to the corresponding household devices through the intelligent gateway; and the household equipment is used for executing corresponding control operation according to the control instruction. Adopt the utility model discloses can make house control more nimble.
Description
Technical Field
The application relates to the technical field of Internet of things, in particular to an intelligent home control system.
Background
With the development of the internet of things technology, traditional home equipment is gradually replaced by smart homes to form a smart home system. Most intelligent home systems are composed of intelligent terminals, controllers and home devices. Household equipment such as air conditioners, air purifiers and the like. The remote control mode is that a control instruction is sent to the controller remotely through the intelligent terminal, and the controller is instructed to control the corresponding household equipment; the local control mode is to directly control the corresponding household equipment through the controller.
In the traditional remote control or local control, manual configuration and change of control parameters by a user are mostly depended on, so that the control on the running state of the household equipment is not intelligent and flexible enough.
SUMMERY OF THE UTILITY MODEL
Therefore, it is necessary to provide an intelligent home control system to solve the above technical problems.
An intelligent home control system comprises a central controller, an intelligent gateway, home equipment and environment monitoring equipment; the central controller is connected with the intelligent gateway through a network; the intelligent gateway is connected with the home equipment through a network; the environment monitoring equipment is connected with the intelligent gateway through a network;
the environment monitoring equipment is used for acquiring environment monitoring data in a target area and transmitting the acquired environment monitoring data to the intelligent gateway;
the intelligent gateway is used for transmitting the environment monitoring data to the central controller;
the central controller is used for generating a control instruction for one or more household devices in a target area according to the environment monitoring data, and sending the control instruction to the corresponding household devices through the intelligent gateway;
and the household equipment is used for executing corresponding control operation according to the control instruction.
In one embodiment, the central controller is respectively connected with intelligent gateways of a plurality of target areas through a network; each target area is provided with at least one household device and at least one environment monitoring device; the environment monitoring equipment is used for acquiring environment monitoring data of the target area.
In one embodiment, the environmental monitoring device comprises a personnel monitoring device; the personnel monitoring equipment comprises a camera;
the camera is used for acquiring a field image of a target area in a target time period and sending the field image to the central controller through the intelligent gateway;
the central controller is further used for generating a control instruction for one or more household devices in the target area based on the pedestrian volume of the target area in the target time period obtained through the field image analysis.
In one embodiment, the deviation angle between the shooting direction of the camera and the people flow direction is smaller than a preset angle; the direction of people flow refers to the moving direction of most people in the target area.
In one embodiment, the environmental monitoring device comprises a personnel monitoring device; the personnel monitoring device comprises an infrared sensor;
the infrared sensor is used for acquiring infrared induction data of a target area in a target time period and sending the infrared induction data to the central controller through the intelligent gateway;
the central controller is further used for generating a control instruction for one or more household devices in the target area based on the pedestrian volume of the target area in the target time period obtained through the infrared induction data analysis.
In one embodiment, infrared sensors are respectively deployed in a plurality of personnel monitoring areas of the target area, and the infrared sensors are used for acquiring infrared sensing data of the corresponding personnel monitoring areas in a target time period.
In one embodiment, the intelligent gateway is in wired connection with the home device.
In one embodiment, the central controller comprises a memory, a comparator and a processor;
the memory is used for storing environment reference data of a target area;
the comparator is used for calculating a difference value between the environment monitoring data and the environment reference data and transmitting the difference value to the processor;
the processor is used for generating a control instruction for one or more household devices in the target area according to the difference value, and sending the control instruction to the corresponding household devices through the intelligent gateway.
In one embodiment, the system further comprises a terminal; the terminal is used for sending preset environment reference data to the memory.
In one embodiment, the system further comprises a cloud server; the terminal is used for sending preset environment reference data to the cloud server; the processor is configured to read the environmental reference data from the cloud server upon receiving the environmental monitoring data.
The intelligent home control system is based on a plurality of home devices arranged in a target area, acquires environment monitoring data in the target area through environment monitoring devices, and transmits the acquired environment monitoring data to a central controller through an intelligent gateway; the central controller generates control instructions for one or more household devices in a target area according to the environment monitoring data, the control of the household devices can be realized through the central controller under the condition that a user does not need to manually configure and change control parameters of the household devices and the condition that the user does not need to adjust the control parameters of each household device, and the centralized control can be simultaneously performed on the plurality of household devices.
Drawings
Fig. 1 is an application scenario diagram of an intelligent home control system in an embodiment;
fig. 2 is a block diagram of a smart home control system according to an embodiment;
fig. 3 is a schematic application diagram of the smart home control system in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The intelligent home control system provided by the application can be applied to the application environment shown in fig. 1. The intelligent home control system comprises a central controller 102, an intelligent gateway 104, home equipment 106 and environment monitoring equipment 108. The central controller 102 is used for centralized control of the home devices 106 in the control area. The control area may be an indoor area of a company, a factory building, or the like. The control area may be divided into a plurality of sub-areas. Sub-areas may be areas of halls, hallways, sales outlets, general manager offices, etc. Each sub-area is correspondingly provided with an intelligent gateway 104, at least one household device 106 and at least one environment monitoring device 108. The central controller is networked with the intelligent gateways 104 deployed in each sub-area via a network. The network connection may be a local area network connection, a wide area network connection, and a mobile network connection. The central controller 102 is a terminal device having a function of storing and processing environmental monitoring data, and may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. Intelligent gateway 104 has a routing device, such as a router, that receives and transmits environmental monitoring data. The household devices 106 may be, but are not limited to, various electronic devices such as air conditioners, fresh air, air purifiers, and the like. The environment monitoring equipment 108 comprises air monitoring equipment 1082 and personnel monitoring equipment 1084, wherein the air monitoring equipment 1082 is a device for monitoring parameters of contents of CO2, temperature, humidity, formaldehyde, TVOC, PM2.5 and the like in air. The personnel monitoring device 1084 is used for determining whether a person is in an area, such as an image capturing device, an infrared sensor, or the like. The image acquisition device is a sensor, such as a camera, for performing photosensitive imaging on a target object according to an optical principle.
In one embodiment, as shown in fig. 2, an intelligent home control system is provided, which includes a central controller 102, an intelligent gateway 104, a home device 106, and an environment monitoring device 108; the central controller 102 is connected with the intelligent gateway 104 through a network; the intelligent gateway 104 is connected with the household equipment 106 through a network; the environment monitoring equipment 108 is connected with the intelligent gateway 104 through a network; the environment monitoring equipment 108 is configured to collect environment monitoring data in a target area, and transmit the collected environment monitoring data to the intelligent gateway 104; the intelligent gateway 104 is used for transmitting the environment monitoring data to the central controller 102; the central controller 102 is configured to generate a control instruction for one or more home devices 106 in a target area according to the environment monitoring data, and send the control instruction to the corresponding home devices 106 through the intelligent gateway 104; the home equipment 106 is configured to execute a corresponding control operation according to the control instruction.
Specifically, as can be seen from fig. 2, the controller area is sub-area 1 and sub-area 2, respectively, where sub-area 1 is the target area. The central controller 102 includes a memory 1022, a comparator 1024, a display 1026, and a processor 1028. The memory is used for environment reference data corresponding to the target area; the comparator is used for calculating a difference value between the environment monitoring data and the environment reference data; the display is used for displaying the running state parameters and the environment monitoring data of each household device; the processor is used for generating control instructions for one or more household devices in the target area according to the difference values, transmitting the generated control instructions to the intelligent gateway, and transmitting each control instruction to the corresponding household device in a wired mode through the intelligent gateway. Preset environment reference data may also be transmitted to the memory through the terminal 110. The environmental monitoring equipment 108 includes air monitoring equipment 1082 and personnel monitoring equipment 1084. The personnel monitoring device 1084 is used for determining whether a person is in an area, such as the image capturing device 10842, the infrared sensor 10844, or the like. The image capturing device 10842 is a sensor, such as a camera, for imaging the target object according to optical principles. The infrared sensor 10844 senses the target object according to thermal imaging principles. The environment monitoring device 108 is connected to the intelligent gateway 104 via a network, which may be a wired connection or a wireless connection. The intelligent gateway 104 is in wired connection with the household equipment 106. The intelligent gateway 104 and the terminal 110 are respectively connected with the central controller 102 through a network. The terminal 110 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices.
The central controller obtains environmental monitoring data of the target area in a target time period. Specifically, based on air monitoring equipment deployed in a target area, acquiring air quality parameters in the target area in real time through the air monitoring equipment; and transmitting the collected data to the intelligent gateway through a network. Meanwhile, a plurality of household devices in the target area transmit the respective corresponding device operation parameters to the intelligent gateway in real time or periodically; and the intelligent gateway can also be used for acquiring the equipment operation parameters corresponding to the intelligent gateway from a plurality of household equipment corresponding to the target area in real time or periodically. The intelligent gateway transmits the received environment monitoring data to the central controller periodically through the wireless local area network according to a target time period, and the central controller receives the environment monitoring data transmitted through the intelligent gateway and analyzes and processes the environment monitoring data. The target time interval is a time interval including a start time and an end time, and the target time intervals set for the sub-areas in the control area may be the same or different, for example, the time length of the target time interval set for the target area a is 5 minutes, and the time length of the target time interval set for another area B is 3 minutes. The environment monitoring data comprises air quality parameters and equipment operation parameters; the air quality parameters can be parameters of carbon dioxide CO2, temperature, humidity, formaldehyde, fine particulate matter PM2.5, total volatile organic compounds TVOC and the like.
In one embodiment, the environmental monitoring device comprises an air monitoring device; the air monitoring equipment comprises at least one of target element content monitoring equipment, a temperature sensor and a humidity sensor; the target elements include CO2, formaldehyde, PM2.5, and TVOC.
In one embodiment, the environmental monitoring device comprises a personnel monitoring device. The personnel monitoring equipment is used for determining the flow of people in the target area in the target time period. The method comprises the steps that personnel monitoring data in a target area are obtained in real time through personnel monitoring equipment based on the personnel monitoring equipment deployed in the target area, the obtained personnel monitoring data are sent to an intelligent gateway, the intelligent gateway sends the received personnel monitoring data in the target area at a target time interval to a central controller, and the central controller analyzes and processes the personnel monitoring data to obtain the pedestrian volume of the target area at the target time interval.
In one embodiment, the central controller further comprises establishing a long connection between the central controller and the intelligent gateway before acquiring the environmental monitoring data of the target area in the target period. The method comprises the steps that a central controller receives a connection request sent by an intelligent gateway, wherein the connection request carries a gateway identifier and a gateway address; and the central controller returns the controller address to the corresponding intelligent gateway according to the connection request, so that the intelligent gateway establishes long connection with the central controller according to the controller address. Specifically, when monitoring an instruction input by a user to start connection between the central controller and the intelligent gateway, the central controller receives a connection request carrying a gateway identifier sent by the intelligent gateway, and the transmission mode may be broadcast transmission; the central controller responds to the connection request and returns the IP address and the port number of the central controller to the intelligent gateway corresponding to the gateway identifier; and the intelligent gateway establishes connection with the central controller according to the IP address of the central controller. When the connection is abnormal, the intelligent gateway disconnects the connection with the central controller, and at the moment, the intelligent gateway resends the connection request to the central controller.
In one embodiment, before acquiring the environmental monitoring data of the target area in the target period, the method further includes turning on a central controller: and when monitoring that the preset frequency locking password is input by the user on the central controller, starting the central controller and entering a control interface. The frequency-locked password can be a character string with a preset number of digits formed by any one or more of numbers, letters and characters. The central controller is opened through the frequency locking password, so that the safety of using the central controller is improved, and the intelligent home control system is safer.
The central controller generates control instructions for one or more household devices in the target area according to the environment monitoring data, and sends the control instructions to the corresponding household devices through the intelligent gateway. Specifically, the central controller transmits the generated control instruction for one or more home devices to the intelligent gateway through the wireless local area network, the intelligent gateway transmits the home device identification carried by the control instruction to the home devices corresponding to the intelligent gateway through wires, and the home devices receive the corresponding control instruction and execute corresponding control operation according to the control instruction. The control instruction comprises a household equipment identifier; and the control module is used for indicating the household equipment corresponding to the household equipment identification to execute corresponding control operation.
In one embodiment, the intelligent gateway is in wired connection with the household equipment. The intelligent gateway transmits the controller instruction to the corresponding household equipment through a wire; the control instruction is used for instructing the household equipment to execute corresponding operation. Specifically, the central controller sends each generated control instruction to the intelligent gateway, the intelligent gateway receives the control instruction and transmits the control instruction to the household equipment corresponding to the household equipment identifier carried by the control instruction through a wired transmission mode, and the household equipment executes corresponding control operation according to the received control instruction. The intelligent gateway is in wired connection with the plurality of household devices, so that the problems that the household devices of different manufacturers have different transmission interfaces and the corresponding controllers of different manufacturers have different standards can be effectively solved.
In the embodiment, the environment monitoring data in the target area is acquired through the environment monitoring equipment, and the acquired environment monitoring data is transmitted to the central controller through the intelligent gateway; the central controller generates control instructions for one or more household devices in a target area according to the environment monitoring data, and can control the household devices through the central controller under the condition that a user does not need to manually configure and change control parameters of the household devices and adjust the control parameters of each household device, and can control the household devices simultaneously.
In one embodiment, the environmental monitoring device comprises a personnel monitoring device; the personnel monitoring equipment comprises a camera; the camera is used for acquiring a field image of a target area in a target time period and sending the field image to the central controller through the intelligent gateway; the central controller is also used for generating a control instruction for one or more household devices in the target area based on the pedestrian volume of the target area in the target time period obtained by the field image analysis.
Wherein, at least one camera is arranged in the target area; the cameras may be deployed in the entry area, the hot area, the exit area, etc. of the target area. The hot area refers to a geographical area where people gather more intensively, such as a product promotion area, a washroom area, and the like.
Specifically, a camera acquires more than one frame of live images of a target area in a target time period; the acquired field image is sent to a central controller through an intelligent gateway; the central controller clusters the face images in the field images to obtain a plurality of cluster clusters; the central controller performs feature fusion on the face images in each cluster to obtain corresponding temporary identity features; and the central controller compares the temporary identity characteristics with the face characteristics in the face library to obtain personnel identifications and determines the pedestrian volume of the target area in the target time period according to the number of the personnel identifications.
The live image is an image capable of reflecting the real scene situation of the target area, and may be acquired based on a camera mounted near the target area. The target area is within the scan camera field of view of the camera. When people exist in the statistical area, the live image is an image frame obtained by image acquisition of a living body and shows one or more human faces. The face image refers to a partial image of a face region in a live image. The face region is the position of the face in the live image. The temporary identity feature is a face feature for distinguishing different faces.
In order to ensure that the size of the collected face meets a preset condition (such as greater than or equal to 60px), the position of the camera relative to the target area can be properly adjusted. In order to collect the forward faces as much as possible, the shooting direction of the camera for the live images should be close to the direction of people flow. The deviation angle between the shooting direction of the control camera and the people flow direction is smaller than a preset angle, wherein the preset angle can be 20 degrees. The direction of the stream of people refers to the direction of movement of most people in the target area. The pedestrian volume is the number of people in the target area in the target time period.
And acquiring the live image of the target area through the camera, and transmitting the acquired live image to the intelligent gateway through a network. After the camera completes the transmission of the image frames in a target time period and confirms the successful transmission, the locally stored image frames in the target time period are deleted so as to reduce the occupation of local storage resources. The intelligent gateway transmits the received multi-frame field images in the target time period to the central controller, and the central controller performs face recognition on the received multi-frame field images to obtain one or more face images contained in the field images. Further, the central controller clusters the face images by adopting a clustering algorithm according to the similarity between the face images to obtain a plurality of cluster clusters; the clustering algorithm may be a K-means clustering algorithm, a mean clustering algorithm, or a maximum expected clustering algorithm, etc. And based on each cluster obtained by clustering, the central controller extracts the features of the face images in each cluster to obtain the face features of each face image. The face features are data for reflecting the face features of the person. The face features may reflect one or more of gender of the person, contour of the face, hairstyle, glasses, nose, mouth, and distance between various facial organs. In one embodiment, the facial features may include facial texture features. The facial texture features may reflect the depth of pixels in facial organs including nose, ears, eyebrows, cheeks, or lips. The facial texture features may include color value distributions and luminance value distributions of pixels of the facial image.
Further, the central controller performs feature fusion on the face features of each face image belonging to the same cluster by using a feature fusion algorithm to obtain the temporary identity features of the faces corresponding to the corresponding cluster. The feature fusion algorithm can be based on Bayesian theory, sparse representation or deep learning, and the like. Further, based on the obtained temporary identity characteristics corresponding to each face, the central controller compares each temporary identity characteristic with each face in the face library, and determines the personnel identification corresponding to the temporary identity card according to the comparison result. And the central controller counts the number of the personnel identifications of all the temporary identity cards, and the counted number of the personnel identifications is used as the flow of the people in the target time period in the target area. The central controller is also used for generating a control instruction for one or more household devices in the target area based on the pedestrian volume of the target area in the target time period obtained by the field image analysis. Wherein the face library is a database deployed based on a need for personnel traffic statistics of the target area over the target time period, the face library being stored in a memory of the central controller. The face library is only used for storing the face features of the first-appearing person counted in the target time period. The facial features stored to the face repository may be temporary identity features determined from the central controller. And continuously and dynamically adding the face features to a face library in the process of carrying out personnel flow statistics at a target time interval. In the face library, each face feature is associated with a person identifier. The person identifier is information capable of uniquely identifying one face feature, such as a serial number, a hash value obtained by performing hash operation on the face feature, or a timestamp for storing the face feature in a face library.
In one embodiment, the central controller may identify the face region in the live image through a face monitoring algorithm. The face monitoring algorithm can adopt an OpenCV face monitoring algorithm, a face monitoring algorithm carried by an IOS and Andriod system or a high-quality face monitoring algorithm and the like. The central controller performs face recognition on the field image by adopting a face monitoring algorithm to obtain a field image containing a face and a specific face area, for example, the position of the face is identified by a rectangular frame. After the central controller determines the face region in the live image, the central controller can intercept the live image along the face region to obtain the face image. For a single live frame image, the captured facial image may include one or more facial images. Wherein the face image may comprise only an image of the face region of the person.
In this embodiment, a plurality of frames of live images are acquired based on a camera deployed in a target area, and a cluster corresponding to a face is obtained by intercepting the live images from a face image and clustering the intercepted face images; and further fusing the face features in each cluster to obtain temporary identity features representing the faces, and comparing each temporary identity feature with each face in the face library to obtain the face identification of the corresponding face. Acquiring a live image of a target area according to a camera, and further performing analysis statistics on the live image through a central controller to obtain the pedestrian volume of the target area in a target time period, so that the pedestrian volume statistics of the target area in the target time period is realized; meanwhile, the human face can be more fully represented by the fused human face features, the accuracy of human face recognition is improved, and the statistics of the human flow is more accurate.
In one embodiment, the environmental monitoring device comprises a personnel monitoring device; the personnel monitoring device comprises an infrared sensor. A plurality of personnel monitoring areas are arranged in the target area, and each personnel monitoring area is provided with an infrared sensor. The infrared sensor is used for acquiring infrared induction data of a target area in a target time period and sending the infrared induction data to the central controller through the intelligent gateway; the central controller is further used for generating a control instruction for one or more household devices in the target area based on the pedestrian volume of the target area in the target time period obtained through the infrared induction data analysis.
Specifically, the environment monitoring device comprises a personnel monitoring device, and the personnel monitoring device comprises an infrared sensor; the infrared sensor is deployed within each personnel monitoring area of the target area. The person monitoring area refers to a local area where a person can be sensed. The infrared sensor senses a target object according to a thermal imaging principle; the infrared sensing data is used for judging whether personnel exist in the personnel monitoring area.
The method comprises the following steps that an infrared sensor collects infrared induction data of a corresponding personnel monitoring area in a target time period and transmits the infrared induction data to an intelligent gateway through a network; when people are in the personnel monitoring area, the collected corresponding infrared induction data shows that the personnel are in the area, and data identification can be adopted for marking; for example, 0 indicates that there is a person in the person monitoring area, and 1 indicates that there is no person in the person monitoring area. The intelligent gateway sends the infrared induction data of the target time period collected by the target area to the central controller; the central controller counts the number of people based on the infrared induction data to obtain the flow of people in the target area in the target time period, and generates a control instruction for one or more household devices in the target area according to the flow of people.
In the embodiment, infrared sensing data of a corresponding personnel monitoring area in a target time period are collected based on an infrared sensor, and the monitoring data are analyzed and counted by a central controller, so that the flow of people in the target time period in the target area is determined, and the controller precision of the household equipment is improved; moreover, people are sensed through the infrared sensor, the accuracy of people flow statistics is improved, and therefore the control precision of the household equipment is improved.
In one embodiment, a central controller includes a memory, a comparator, and a processor; the memory is used for storing environment reference data of the target area; the comparator is used for calculating a difference value between the environment monitoring data and the environment reference data and transmitting the difference value to the processor; the processor is used for generating a control instruction for one or more household devices in the target area according to the difference value, and sending the control instruction to the corresponding household devices through the intelligent gateway.
Specifically, based on the environment monitoring data of the target area in the target time period received by the processor, the processor determines the personnel density of the target area according to the flow of people in the environment monitoring data; based on the corresponding relation between the personnel density and the environmental reference data, the processor inquires the environmental reference data corresponding to the personnel density from the memory. The processor can also query the cloud server to obtain the environment reference data corresponding to the personnel density. The environment reference data are data corresponding to the environment monitoring data, the environment reference data comprise air quality parameters and equipment operation parameters, and the same environment monitoring data also comprise air quality parameters and equipment operation parameters with the same dimensionality. The environment reference data corresponds to the person density, that is to say different person densities correspond to different environment reference data. The environment reference data is used for judging whether the running state of one or more household devices in the target area needs to be adjusted.
The comparator calculates a difference value between the environment monitoring data and the environment reference data, and transmits the difference value to the processor. Specifically, the comparator correspondingly subtracts the air quality parameter and the equipment operation parameter in the environment monitoring data from the air quality parameter and the equipment operation parameter in the environment reference data respectively according to the acquired environment monitoring data and the environment reference data of the target area to obtain a difference value of the air quality parameter and a difference value of the equipment operation parameter, and transmits the calculated difference value of the air quality parameter and the calculated difference value of the equipment operation parameter to the processor. Wherein the difference value refers to a difference value between two data.
And the processor generates a control instruction for one or more household devices in the target area according to the difference value, and sends the control instruction to the corresponding household devices through the intelligent gateway. Specifically, the corresponding relationship between each parameter in the difference values and the home devices is configured in advance, and the difference value of each parameter can adjust the operating state of one or more home devices. Based on the calculated difference values of the air quality parameters and the equipment operation parameters, the processor judges whether each difference value belongs to the threshold range; if the parameter value belongs to the preset parameter value, the processor does not need to adjust the running state of the household equipment corresponding to the difference value of the parameter; if not, the processor acquires one or more home equipment identifiers of the target area corresponding to the difference value of the parameter from the preset corresponding relation between the parameter and the home equipment, so as to generate a control instruction carrying the one or more home equipment identifiers, and sends the control instruction to the corresponding home equipment through the intelligent gateway. The threshold is set in relation to the technical field to which each parameter in the difference values belongs, for example, the difference value of the temperature and the difference value of CO2 are set according to the allowable deviation of the temperature and CO2 in the respective technical fields, and the temperature threshold and the CO2 threshold are correspondingly obtained.
For example, the environmental monitoring data obtained are: { PM 2.5: 37.9ug/m3Formaldehyde: 0, TVOC: 0.1mg/m3CO 2: 400ppm, temperature: 30 ℃ C, humidity: 50 }; the environmental reference data is: { PM 2.5: 38ug/m3Formaldehyde: 0, TVOC: 0.1mg/m3CO 2: 400ppm, temperature: 26 ℃, humidity: 50, calculating to obtain difference values of {0.1, 0, 0, 0, 4 ℃, 0}, and assuming that household equipment corresponding to PM2.5 and CO2 is fresh air; the household equipment corresponding to the formaldehyde and the TVOC is an air purifier; the household equipment corresponding to the temperature and the humidity is an air conditioner. According to the calculated difference value, if the difference value of PM2.5 is within the threshold range, the operation state of the fresh air does not need to be adjusted; the difference value of the formaldehyde and the TVOC is 0, the air purifier does not need to be adjusted, and meanwhile, the difference value of the CO2 is 0, and the fresh air does not need to be adjusted; and if the difference value of the temperatures exceeds the threshold range, the operation state of the air conditioner needs to be adjusted, and a cooling instruction for the air conditioning equipment is generated in order to reduce the temperature of the target area. Whether the temperature of the target area reaches the environmental reference data or not is further judged through the environmental monitoring data at the next target moment, and if not, a cooling instruction for the air conditioner is continuously generated, so that the control of the household equipment is realized.
In one embodiment, the processor determines the person density of the target area based on the flow of people in the environmental monitoring data. The user can set environment reference data according to the air quality parameters corresponding to the environment monitoring data and the data of each dimension in the air quality parameters according to the personnel density in the central controller, the environment reference data of the personnel density of a unit is constructed, and the central controller stores the constructed environment reference data to the memory. The environment monitoring data comprises air quality parameters, equipment operation parameters and people flow; the device operation parameter is a preset parameter for device execution, such as 20 ℃ for air conditioning. The air quality parameters include temperature, humidity, PM2.5, formaldehyde, TVOC, CO2, and the like.
The processor obtains the flow of people based on the target area andobtaining the personnel density corresponding to the target area according to a personnel density calculation formula; and according to the personnel density, inquiring from the cloud server or the storage to obtain corresponding environment reference data. The person density refers to the number of persons corresponding to each square meter, and the calculation of the person density in the target area can adopt a formula: people density is the area of the flow/target area. For example, the density of people is 10 people/m2And the environmental reference data obtained by query is { PM 2.5: 38ug/m3Formaldehyde: 0, TVOC: 0.1mg/m3CO 2: 400ppm, temperature: 26 ℃, humidity: 50}.
In one embodiment, the system further comprises a terminal; the terminal is used for sending the preset environment reference data to the memory. The terminal may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices.
Specifically, the terminal sets environment reference data according to air quality parameters corresponding to the environment monitoring data and data of each dimension in the air quality parameters according to the personnel density, and constructs the environment reference data of the unit personnel density; and the terminal sends the constructed environment reference data to the central controller and stores the environment reference data in the memory. The terminal can also send the constructed environment reference data to the cloud server, and the processor reads the corresponding environment reference data from the cloud server when receiving the environment monitoring data. In the embodiment, the people flow information is considered, the personnel density of the target area is calculated according to the people flow, and the corresponding environment reference data is obtained according to the personnel density; because different personnel densities correspond to different environment reference data, the dimensionality of the environment reference data is increased, so that the environment reference data under different environments is more accurate, the accuracy of calculating difference values is improved, and the control on household equipment is more accurate.
In one embodiment, the system further comprises a cloud server; the terminal is used for sending preset environment reference data to the cloud server; the processor is configured to read the environmental reference data from the cloud server upon receiving the environmental monitoring data. Specifically, a user sets corresponding environment reference data on a terminal according to historical environment monitoring data monitored in a target area, and the set environment reference data corresponds to the personnel density. The terminal transmits preset environment reference data to the cloud server through the network, and the cloud server returns an address to the terminal. The cloud server may be implemented by a stand-alone server or a server cluster composed of a plurality of servers. And when the processor receives the environmental monitoring data of the target area in the target time period, determining the personnel density of the target area according to the flow of people in the environmental monitoring data. Based on the corresponding relation between the personnel density and the environment reference data, the processor is connected to the corresponding cloud server according to the address of the cloud server sent by the terminal, and the environment reference data corresponding to the personnel density are obtained by inquiring from the cloud server.
In one embodiment, the intelligent gateway may send the received environmental monitoring data to the cloud server, and the cloud server stores the received environmental monitoring data and the current system time in association with the target area; acquiring environmental monitoring data and corresponding environmental reference data of a target area in a target time period from a cloud server through a terminal; the terminal calculates a difference value between the environment monitoring data and the environment reference data, generates a control instruction for one or more household devices in the target area according to the difference value, and sends the generated control instruction to the cloud server; and the cloud server sends each control instruction to the intelligent gateway, and the control instruction is transmitted to the corresponding household equipment through the intelligent gateway in a wired mode. The current system time can be the time when the intelligent gateway sends the environment monitoring data, and the intelligent gateway sends the environment monitoring data carrying the current system time to the cloud server; or the time when the cloud server receives the environmental monitoring data. And the communication server checks whether the communication server is connected with the intelligent gateway within preset time, if not, the communication server deletes the stored gateway identification and disconnects the connection with the intelligent gateway corresponding to the gateway identification, and waits for the intelligent gateway to initiate a connection request again.
In this embodiment, the central controller includes a memory, a comparator and a processor, the memory stores the environmental reference data, the comparator calculates a difference value between the monitoring data and the environmental reference data, further, the processor generates a control instruction for one or more home devices in the target area according to the difference value, and the memory, the comparator and the processor process and transmit data among the memory, the comparator and the processor, so that remote control of the one or more home devices is realized, manual configuration and change of control parameters are not required to be performed by a user, and the home control is not intelligent and flexible enough.
In one embodiment, the processor is further configured to generate a control instruction for the home devices in the target area according to a preset timing system parameter. When the processor acquires the environment monitoring data, recording the current system time; the processor acquires preset timing system parameters from the memory; the processor compares whether the current system time is consistent with the timing system parameter; if yes, generating control instructions for one or more household devices in the target area, and sending each control instruction to the corresponding household device by the processor. The processor compares whether the timing system parameters are consistent with the current system time, so that the running state of one or more household equipment in the target area can be controlled in a timing mode, and the household equipment can be controlled remotely and automatically.
As shown in fig. 3, a schematic diagram of an intelligent home control system is provided. As can be seen from the figure, the timing system parameters including the start time, the end time, the date and the home equipment identifier can be preset in the central controller. For example, the set timing system parameters are 8:00 to 18:00, the dates are selected from monday to friday, and the household equipment marks correspond to the air conditioning equipment in the hall; i.e., from 8 o' clock to 18 p.m. of the workday, the hall air conditioners are turned on, and the hall air conditioners are turned off in the rest of the time. As can also be seen from the figure, the household equipment comprises an air conditioner, fresh air and purification; the scenes mainly include scenes for operating the household equipment at regular time such as commuting and the like and energy-saving scenes (namely scenes for controlling one or more household equipment in a target area according to environment monitoring data).
In one embodiment, the comparator is further configured to determine whether the operating state of the household equipment in the target area needs to be adjusted according to the environmental reference data and the air quality parameter; if so, the comparator determines the reference operation parameters of the household equipment in the target area based on the environmental reference data; and calculating the difference value between the reference operation parameter and the equipment operation parameter.
Specifically, one or more household devices in a target area are determined to be controlled by receiving environment monitoring data in a target time period and environment reference data corresponding to the environment monitoring data. The environment monitoring data carries air quality parameters, equipment operation parameters and people flow, wherein the air quality parameters comprise a plurality of dimensionality air quality parameters; the central controller compares the air quality parameter with the environmental reference data and obtains a comparison result; and judging whether the running state of the household equipment in the target area needs to be adjusted according to the comparison result, wherein the household equipment is determined according to the air quality parameter. According to the judgment result, if the running state of the household equipment needs to be adjusted, the central controller determines corresponding environment reference data according to the pedestrian flow, and further determines the reference running parameters of the household equipment based on the acquired environment reference data; and calculating the difference value between the equipment operation parameter of the actual operation of the household equipment and the reference operation parameter. The environmental reference data can be consistent with the reference operation parameters, and the reference operation parameters of the corresponding household equipment can also be determined according to the mapping relation between the environmental reference data and the reference operation parameters.
The comparison method may include: the comparator can calculate the difference value of the air quality parameter and the environmental reference data, and acquire the corresponding air quality parameter from the memory according to the difference value; and obtaining the household equipment with the running state to be adjusted according to the mapping relation between the air quality parameters and the household equipment.
In this embodiment, the comparator first determines which home devices need to adjust the operating state according to the air quality parameter and the environment reference data, then determines the reference operating parameter of the home device to be adjusted according to the environment reference data, and further calculates the difference between the reference operating parameter of the corresponding home device and the actually-operating device operating parameter, so as to quickly determine the home devices that need to adjust the operating state, and provide the specific adjustment value of the home devices, thereby improving the control accuracy of the home devices.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only represent some embodiments of the present invention, and the description thereof is more specific and detailed, but not to be construed as limiting the scope of the present invention. It should be noted that, for those skilled in the art, without departing from the spirit of the present invention, several variations and modifications can be made, which are within the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the appended claims.
Claims (10)
1. An intelligent home control system comprises a central controller, an intelligent gateway, home equipment and environment monitoring equipment; the central controller is connected with the intelligent gateway through a network; the intelligent gateway is connected with the home equipment through a network; the environment monitoring equipment is connected with the intelligent gateway through a network;
the environment monitoring equipment is used for acquiring environment monitoring data in a target area and transmitting the acquired environment monitoring data to the intelligent gateway; the environment monitoring equipment comprises air monitoring equipment and personnel monitoring equipment; the air monitoring equipment comprises target element content monitoring equipment, a temperature sensor and a humidity sensor; the personnel monitoring equipment comprises an image acquisition device, the image acquisition device comprises a camera, and the deviation angle between the shooting direction of the camera and the direction of people flow is smaller than a preset angle;
the intelligent gateway is used for transmitting the environment monitoring data to the central controller;
and the central controller controls the household equipment to execute corresponding operation.
2. The system of claim 1, wherein the central controller is respectively connected with the intelligent gateways of a plurality of target areas through a network; each target area is provided with at least one household device and at least one environment monitoring device; the environment monitoring equipment is used for acquiring environment monitoring data of the target area.
3. The system of claim 1, wherein the people monitoring device comprises an infrared sensor.
4. The system of claim 1, wherein the camera has a direction of the camera that is inclined at an angle of 20 degrees to the direction of the stream of people.
5. The system of claim 1, wherein each of the plurality of people monitoring areas of the target area is deployed with an infrared sensor for collecting infrared sensing data of the corresponding people monitoring area at a target time period.
6. The system of claim 1, wherein the smart gateway is wired to the home device.
7. The system of claim 1, wherein the central controller comprises a memory, a comparator, and a processor.
8. The system of claim 7, wherein the system further comprises a terminal; the terminal is used for sending preset environment reference data to the memory.
9. The system of claim 8, further comprising a cloud server; the terminal is used for sending preset environment reference data to the cloud server.
10. The system of claim 9, wherein the processor is configured to read the environmental reference data from the cloud server upon receiving the environmental monitoring data.
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| CN112346348A (en) * | 2020-10-20 | 2021-02-09 | 漳州立达信光电子科技有限公司 | Indoor environment adjustment system |
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