An intelligent environmental control terminal device and its control method

Abstract

The present disclosure belongs to the technical field of the Internet of Things, and specifically relates to an intelligent environmental control terminal device and a control method thereof, comprising: a device layer, comprising an environmental control device and a collection unit, a control unit, and an execution unit provided on the environmental control device, wherein the collection unit collects status information of the environmental control device and transmits the collected status information to a gateway layer; a gateway layer, which receives and processes the status information of the device layer and transmits the processed status information data to a cloud platform; and a cloud platform, which parses and calculates the received processed status information data to obtain feedback status information, transmits the obtained feedback status information to the device layer via the gateway layer, and performs feedback adjustment of the environmental control device based on the control unit and the execution unit in the device layer.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of Internet of Things, and particularly relates to an intelligent environmental control terminal device and a control method thereof. Background Art

[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] Smart buildings are gradually becoming part of people's lives. By adding environmental control devices to existing buildings, they achieve automation and intelligence. However, the buildings and environmental control devices are independent of each other, each performing its own function, preventing the formation of a closed-loop "information sharing-automatic control" model.

[0004] According to the inventors, relevant research on intelligent buildings has only remained at the level of independent control and monitoring, and cannot achieve intelligent autonomous control; at the same time, non-intelligent control has a large energy waste problem, resulting in some unnecessary energy loss. Summary of the Invention

[0005] In order to solve the above problems, the present disclosure proposes an intelligent environmental control terminal device and its control method. Based on the Internet of Things technology, the intelligent environmental control terminal device is structurally improved to achieve automatic adjustment and control of temperature and brightness, improve the interactive experience, save energy and reduce emissions, and reduce energy consumption.

[0006] According to some embodiments, the first solution of the present disclosure provides an intelligent environmental control terminal device, which adopts the following technical solutions:

[0007] An intelligent environmental control terminal device, comprising:

[0008] The device layer includes an environmental control device and a collection unit, a control unit, and an execution unit provided on the environmental control device. The collection unit collects status information of the environmental control device and transmits the collected status information to the gateway layer.

[0009] The gateway layer receives and processes the status information of the device layer and transmits the processed status information data to the cloud platform;

[0010] The cloud platform analyzes and calculates the received processed status information data to obtain feedback status information, transmits the obtained feedback status information to the device layer through the gateway layer, and performs feedback adjustment of the environmental control device based on the control unit and execution unit in the device layer.

[0011] As a further technical limitation, the environmental control device includes a temperature regulator and a brightness regulator; the acquisition unit includes a human body pyroelectric detection subunit, a light intensity detection subunit and a human flow statistics monitoring subunit.

[0012] Furthermore, the control unit includes a temperature adjustment controller and a brightness adjustment controller; the execution unit includes a temperature adjuster and a brightness adjuster.

[0013] As a further technical limitation, the gateway layer adopts LoRa wireless communication, 4G / 5G communication module or Ethernet communication; the gateway layer performs data processing and communication protocol conversion on the status information received from the device layer, and transmits the processed status information to the cloud platform; at the same time, the gateway layer receives the feedback status information of the cloud platform and transmits it to the device layer.

[0014] According to some embodiments, a second solution of the present disclosure provides a temperature control method for an intelligent environmental control terminal device, which uses the intelligent environmental control terminal device provided in the first solution and adopts the following technical solutions:

[0015] A temperature control method for an intelligent environmental control terminal device, comprising:

[0016] Obtain information on the flow of people and ambient temperature in the area to be controlled;

[0017] Calculate the current temperature difference in the area to be controlled based on the acquired crowd flow information and ambient temperature information;

[0018] Classify the current temperature difference value obtained based on the preset temperature difference classification standard;

[0019] The temperature of the intelligent environmental control terminal device is adjusted according to the temperature difference level classification results.

[0020] As a further technical limitation, the crowd flow information includes the current number of people and the average temperature of the human body surface; the environmental temperature information includes the environmental preset temperature and the real-time temperature of the current environment.

[0021] Furthermore, the current temperature difference T in the area to be controlled is T=m*(nx)*0.023+xy, where m represents the current number of people, n represents the average temperature of the human body surface; x represents the real-time temperature of the current environment, and y represents the preset temperature of the environment.

[0022] Furthermore, the temperature adjustment process of the intelligent environmental control terminal device is as follows:

[0023] If the current temperature difference is not less than the first temperature difference threshold, the temperature difference in the area to be controlled seriously exceeds the comfortable temperature difference range, and the highest control level must be used for rapid temperature adjustment.

[0024] If the current temperature difference is between the second temperature difference threshold and the first temperature difference threshold, the temperature difference of the area to be controlled is slightly beyond the comfortable temperature difference range, and the general control level should be used for temperature adjustment;

[0025] If the current temperature difference is not greater than the second temperature difference threshold, the temperature difference of the area to be controlled does not exceed the comfortable temperature difference range and no temperature adjustment is required.

[0026] According to some embodiments, a third solution of the present disclosure provides a brightness control method for an intelligent environmental control terminal device, which uses the intelligent environmental control terminal device provided in the first solution and adopts the following technical solutions:

[0027] A brightness control method for an intelligent environmental control terminal device, comprising:

[0028] Obtain the light source distribution status of the area to be controlled;

[0029] Determining the position distribution of brightness monitoring sensors based on the acquired light source distribution state;

[0030] Obtain real-time monitoring images of the area to be controlled with brightness monitoring sensors to determine the distribution area of ​​human flow;

[0031] Detect the brightness of the determined crowd distribution area and adjust the brightness of the intelligent environmental control terminal device.

[0032] As a further technical limitation, the process of brightness adjustment of the intelligent environmental control terminal device is as follows:

[0033] If the brightness detection value is not less than the first brightness threshold, then the light source in the area to be controlled is sufficient and the light source needs to be turned off;

[0034] If the brightness detection value is between the second brightness threshold and the first brightness threshold, then the light source of the area to be controlled is appropriate and no dimming is required;

[0035] If the brightness detection value is not greater than the second brightness threshold, then the light source in the area to be controlled is insufficient and the light source needs to be turned on to fill in the light.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The present disclosure is based on an improved intelligent environmental control terminal device. By obtaining the current number of people, the average temperature of the human body surface and the real-time temperature of the current environment for judging and analyzing the current heat dissipation on site, the current temperature difference in the area to be controlled is calculated; based on the calculated current temperature difference, the possible future temperature trend of the area to be controlled is analyzed and timely adjusted, and the ambient temperature and light source of the area to be controlled can be adjusted in time to improve comfort and reduce energy consumption; at the same time, the LoRa wireless communication technology and 4G / 5G communication technology in the gateway layer can be used separately or integrated with each other, meeting the needs of background remote control, and at the same time have the advantage of fast data transmission speed; not only can the function of real-time adjustment according to the on-site situation be realized, but also remote control through the background; it is not only applicable to a single intelligent building, but also to the combined control of multiple intelligent buildings, and can also enable background personnel to perform manual control and on-site adjustment according to the on-site situation, making the environment more comfortable and more humane. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which constitute a part of the present disclosure, are used to provide a further understanding of the present disclosure. The exemplary embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation to the present disclosure.

[0039] Figure 1 This is a schematic diagram of the structure of the intelligent environmental control terminal device in the first embodiment of the present disclosure;

[0040] Figure 2 This is a schematic diagram of the structure of the gateway layer in the first embodiment of the present disclosure;

[0041] Figure 3 is a structural diagram of the power supply circuit in the first embodiment of the present disclosure;

[0042] Figure 4 This is a flow chart of temperature control in the second embodiment of the present disclosure;

[0043] Figure 5 This is a structural block diagram of the crowd counting detection in the second embodiment of the present disclosure;

[0044] Figure 6 is a flowchart of brightness control in the third embodiment of the present disclosure;

[0045] Figure 7 This is a structural block diagram of brightness control in the third embodiment of the present disclosure. DETAILED DESCRIPTION

[0046] The present disclosure will be further described below with reference to the accompanying drawings and embodiments.

[0047] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of the present disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present disclosure belongs.

[0048] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0049] In the absence of conflict, the embodiments of the present disclosure and the features thereof may be combined with each other.

[0050] Example 1

[0051] Embodiment 1 of the present disclosure introduces an intelligent environmental control terminal device.

[0052] like Figure 1 An intelligent environmental control terminal device shown includes:

[0053] The device layer includes an environmental control device and a collection unit, a control unit, and an execution unit provided on the environmental control device. The collection unit collects status information of the environmental control device and transmits the collected status information to the gateway layer.

[0054] The gateway layer receives and processes the status information of the device layer and transmits the processed status information data to the cloud platform;

[0055] The cloud platform analyzes and calculates the received processed status information data to obtain feedback status information, transmits the obtained feedback status information to the device layer through the gateway layer, and performs feedback adjustment of the environmental control device based on the control unit and execution unit in the device layer.

[0056] The gateway layer is connected to the local area network through a network switch, and monitors and schedules the multiple functional systems through the local area network; the multiple functional systems are connected to the local area network through switches respectively, including environmental control devices (air conditioning and lighting) and sensor systems.

[0057] like Figure 2 and Figure 3As shown in the figure, the gateway layer includes a LoRa wireless communication module, a 4G / 5G communication module, an Ethernet communication module, a main control chip, and a power supply. It is responsible for protocol conversion, data processing, and forwarding. The wireless gateway supports LoRa wireless communication with terminal devices and 4G / 5G wireless and Ethernet limited communication with servers and cloud platforms. Furthermore, it supports encrypted data transmission to ensure data security, LoRa wireless ad hoc networking, and LoRa frequency hopping communication.

[0058] In this embodiment, the acquisition unit adopts a sensor system, specifically including a human pyroelectric detection module, a light intensity sensor and a crowd flow statistics monitoring module. The human pyroelectric detection can be implemented by using an analog detection probe + Fresnel lens. The crowd flow statistics monitoring module can be based on high-performance camera technology of AI machine vision, or based on personnel counting monitoring of a contactless entry and exit gate.

[0059] The installation process of the sensor in different environments in this embodiment is as follows:

[0060] When the sensor system is installed in an ordinary single-door or double-door environment indoors, the sensor system should align the people flow monitoring module (camera), human pyroelectric detection module and light intensity sensor with the door environment. The camera should be able to fully map the single-door or double-door coverage environment without any obstruction or other possible interference. Before it is officially put into use, it should be tested to ensure that the human recognition rate (facing the face or back) exceeds 90% (or pass the personnel auxiliary counting detection based on the non-sensing access gate). It can be put into use after passing the test. If it fails the test, the installation location should be reselected until the detection rate reaches the corresponding standard;

[0061] When the sensor system is installed in a ring electric door environment room, the sensor system should align the crowd counting monitoring module (camera), human pyroelectric detection module and light intensity sensor with the door environment, and the camera should be able to completely map the ring electric door coverage environment. The installation direction should be slightly biased towards the rotation direction of the ring electric door, and there should be no obstruction or other behaviors that may interfere. Before it is officially put into use, it should be tested, and the human recognition rate entering the ring electric door (back facing) and the human recognition rate walking out of the ring electric door (facing the face) should exceed 90% (or by setting up a personnel auxiliary counting detection based on a senseless entry and exit gate after passing the camera part). It can be put into use after passing the test. If it fails the test, the installation position should be reselected until the detection rate reaches the corresponding standard.

[0062] In this embodiment, the environmental control device includes an air conditioning intelligent thermostat, a lighting controller and a power supply part. The air conditioning intelligent thermostat includes a controller MCU, a wireless communication module and a local display and operation part; the lighting controller includes a LoRa wireless communication module, a lighting intelligent controller main control chip and a touch dimming module.

[0063] The environmental control terminal device in this embodiment is not only suitable for a single intelligent building, but also for the combined control of multiple intelligent buildings. It can also enable backstage personnel to perform manual control and on-site adjustment according to on-site conditions, making the environment more comfortable and more humane.

[0064] Example 2

[0065] The second embodiment of the present disclosure introduces a temperature control method for an intelligent environmental control terminal device, which adopts the intelligent environmental control terminal device introduced in the first embodiment.

[0066] like Figure 4 A temperature control method for an intelligent environmental control terminal device is shown, comprising:

[0067] Obtain information on the flow of people and ambient temperature in the area to be controlled;

[0068] Calculate the current temperature difference in the area to be controlled based on the acquired crowd flow information and ambient temperature information;

[0069] Classify the current temperature difference value obtained into temperature difference grades based on a preset temperature difference grade classification standard;

[0070] The temperature of the intelligent environmental control terminal device is adjusted according to the temperature difference level classification results.

[0071] In this embodiment, the current temperature difference T in the area to be controlled is T=m*(nx)*0.023+xy, where m represents the current number of people, n represents the average temperature of the human body surface; x represents the real-time temperature of the current environment, and y represents the preset temperature of the environment.

[0072] In this embodiment, the specific process of obtaining the current number of people m is as follows:

[0073] Collect real-time video images of the area to be controlled;

[0074] The number of people m in the real-time video image is identified based on machine vision technology and updated in real time. The number of people m in the real-time video image is updated in real time by collecting real-time video images of indoor monitoring. The m value can also be calculated by installing gates at the entrances and exits of the environment for auxiliary confirmation.

[0075] It is worth noting that identifying the number of people based on machine vision technology is an existing technology and is a technology that those skilled in the art should be aware of.

[0076] Obtaining the average indoor human body temperature n includes setting up multiple sensors and / or cameras around the environment to obtain each corresponding temperature of the number of people m in the controlled area detected by the video image, setting upper and lower thresholds (34-38 degrees Celsius) for the corresponding temperatures, and taking the average of the detected heat source temperatures to obtain the average temperature n. If an abnormal heat source occurs (unknown heat source / or the human body temperature is too high), the video will be uploaded in real time and an alarm will be issued. The sensors include but are not limited to human infrared sensors and / or ground pressure sensors and / or smoke alarms (unknown heat source detection).

[0077] The real-time temperature x of the current environment is obtained by setting multiple ambient temperature sensors in the environment and taking the average value.

[0078] The ambient preset temperature y is automatically adjusted according to the environment of the area to be controlled.

[0079] Combine Figure 5 The temperature adjustment process of the intelligent environmental control terminal device in this embodiment is as follows:

[0080] If the current temperature difference T is not less than the first temperature difference threshold A1, the temperature difference of the controlled area seriously exceeds the comfortable temperature difference range, and the highest control level rapid temperature adjustment is required. That is, the cloud platform transmits the feedback status information to the control unit in the device layer through the gateway layer, and under the action of the control unit, the execution unit performs the highest level of rapid temperature adjustment;

[0081] If the current temperature difference value T is between the second temperature difference threshold value A2 and the first temperature difference threshold value A1, then the temperature difference value of the controlled area is slightly beyond the comfortable temperature difference range, and general control level temperature adjustment is required. That is, the cloud platform transmits the feedback status information to the control unit in the device layer through the gateway layer, and under the action of the control unit, the execution unit performs general level temperature adjustment;

[0082] If the current temperature difference value T is not greater than the second temperature difference threshold A2, the temperature difference value of the area to be controlled does not exceed the comfortable temperature difference range, and no temperature adjustment is required. That is, the cloud platform transmits the feedback status information to the control unit in the device layer through the gateway layer, and executes the current energy-saving temperature adjustment under the action of the control unit.

[0083] This embodiment calculates the current temperature difference in the area to be controlled by obtaining the current number of people, the average temperature of the human body surface, and the real-time temperature of the current environment for judging and analyzing the current heat dissipation on site; analyzes the possible future temperature trends of the area to be controlled based on the calculated current temperature difference and makes timely adjustments, thereby timely adjusting the ambient temperature of the area to be controlled, improving comfort, and reducing energy consumption.

[0084] Example 3

[0085] The third embodiment of the present disclosure introduces a brightness control method for an intelligent environmental control terminal device, which adopts the intelligent environmental control terminal device introduced in the first embodiment.

[0086] like Figure 6 A brightness control method for an intelligent environmental control terminal device is shown, comprising:

[0087] Obtain the light source distribution status of the area to be controlled;

[0088] Determining the position distribution of brightness monitoring sensors based on the acquired light source distribution state;

[0089] Obtain real-time monitoring images of the area to be controlled with brightness monitoring sensors to determine the distribution area of ​​human flow;

[0090] Detect the brightness of the determined crowd distribution area and adjust the brightness of the intelligent environmental control terminal device.

[0091] In this embodiment, according to the distribution of lighting sources in the area to be controlled, the positions of the light sources are marked with matrix coordinates, and a brightness monitoring sensor is installed at each matrix position to finally determine the position distribution of the brightness monitoring sensors.

[0092] In this embodiment, in the process of determining the crowd distribution area, the crowd distribution position is determined through the real-time monitoring obtained, and facial features are extracted based on the deep learning algorithm to perform dynamic facial recognition; this belongs to the existing technology that those skilled in the art should know and will not be described in detail here.

[0093] Combine Figure 7 The process of adjusting the brightness of the intelligent environmental control terminal device in this embodiment is as follows:

[0094] If the brightness detection value is not less than the first brightness threshold B1, then the light source in the area to be controlled is sufficient. If the surrounding light sources are on, the light sources need to be turned off. That is, the surrounding light sources are turned off first. If the surrounding light sources are off, the light source at this point is turned off. When the brightness detection value at this point is still not less than the first brightness threshold B1, all light sources at this point and nearby points are turned off.

[0095] If the brightness detection value is between the second brightness threshold B2 and the first brightness threshold B1, then the light source of the area to be controlled is appropriate and no dimming is required;

[0096] If the brightness detection value is not greater than the second brightness threshold B2, the light source in the area to be controlled is insufficient and it is necessary to turn on the light source to fill in the light; that is, the corresponding matrix light source is turned on first for judgment. If the brightness detection value is not greater than the second brightness threshold B2, the surrounding light sources are turned on until the brightness detection value reaches the set value.

[0097] This embodiment automatically adjusts the brightness of the area to be controlled by monitoring the brightness of the acquisition unit, thereby improving comfort and reducing energy consumption.

[0098] Although the above describes the specific implementation methods of the present disclosure in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present disclosure. Those skilled in the art should understand that on the basis of the technical solution of the present disclosure, various modifications or variations that can be made by those skilled in the art without creative work are still within the scope of protection of the present disclosure.

Claims

1. A temperature control method for an intelligent environmental control terminal device, characterized in that: include: Obtain information on the flow of people and ambient temperature in the area to be controlled; Calculate the current temperature difference in the area to be controlled based on the acquired crowd flow information and ambient temperature information; Classify the current temperature difference value obtained based on the preset temperature difference classification standard; Adjust the temperature of the intelligent environmental control terminal device according to the temperature difference level classification results; The crowd flow information includes the current number of people and the average temperature of the human body surface; the ambient temperature information includes the ambient preset temperature and the current real-time temperature of the environment; The current temperature difference T in the area to be controlled is T=m*(nx)*0.023+xy, where m represents the current number of people, n represents the average temperature of the human body surface; x represents the real-time temperature of the current environment, and y represents the preset temperature of the environment; The process of temperature adjustment of the intelligent environmental control terminal device is as follows: If the current temperature difference is not less than the first temperature difference threshold, the temperature difference in the area to be controlled seriously exceeds the comfortable temperature difference range, and the highest control level must be used for rapid temperature adjustment. If the current temperature difference is between the second temperature difference threshold and the first temperature difference threshold, the temperature difference of the area to be controlled is slightly beyond the comfortable temperature difference range, and the general control level should be used for temperature adjustment; If the current temperature difference is not greater than the second temperature difference threshold, the temperature difference of the area to be controlled does not exceed the comfortable temperature difference range and no temperature adjustment is required.

2. An intelligent environmental control terminal device, used to implement the temperature control method of the intelligent environmental control terminal device described in claim 1, characterized in that: include: The device layer includes an environmental control device and a collection unit, a control unit, and an execution unit provided on the environmental control device. The collection unit collects status information of the environmental control device and transmits the collected status information to the gateway layer. The gateway layer receives and processes the status information of the device layer and transmits the processed status information data to the cloud platform; The cloud platform analyzes and calculates the received processed status information data to obtain feedback status information, transmits the obtained feedback status information to the device layer through the gateway layer, and performs feedback adjustment of the environmental control device based on the control unit and execution unit in the device layer.

3. The intelligent environmental control terminal device as claimed in claim 2, characterized in that: The environmental control device includes a temperature regulator and a brightness regulator; the acquisition unit includes a human body pyroelectric detection subunit, a light intensity detection subunit and a human flow statistics monitoring subunit.

4. The intelligent environmental control terminal device as claimed in claim 3, characterized in that: The control unit includes a temperature adjustment controller and a brightness adjustment controller; the execution unit includes a temperature adjuster and a brightness adjuster.

5. The intelligent environmental control terminal device as claimed in claim 2, characterized in that: The gateway layer uses LoRa wireless communication, 4G / 5G communication module or Ethernet communication; the gateway layer processes the status information received from the device layer and converts the communication protocol, and transmits the processed status information to the cloud platform; at the same time, the gateway layer receives the feedback status information from the cloud platform and transmits it to the device layer.

6. A brightness control method for an intelligent environmental control terminal device, using the intelligent environmental control terminal device according to any one of claims 2 to 5, characterized in that: include: Obtain the light source distribution status of the area to be controlled; Determining the position distribution of brightness monitoring sensors based on the acquired light source distribution state; Obtain real-time monitoring images of the area to be controlled with brightness monitoring sensors to determine the distribution area of ​​human flow; Detect the brightness of the determined crowd distribution area and adjust the brightness of the intelligent environmental control terminal device.

7. A brightness control method for an intelligent environmental control terminal device as claimed in claim 6, characterized in that: The process of brightness adjustment of the intelligent environmental control terminal device is as follows: If the brightness detection value is not less than the first brightness threshold, then the light source in the area to be controlled is sufficient and the light source needs to be turned off; If the brightness detection value is between the second brightness threshold and the first brightness threshold, then the light source of the area to be controlled is appropriate and no dimming is required; If the brightness detection value is not greater than the second brightness threshold, then the light source in the area to be controlled is insufficient and a light source needs to be turned on to fill in the light.

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