Equipment intelligent control method based on multiple sensors

Abstract

The invention discloses an intelligent equipment control method based on multiple sensors in the technical field of equipment control, which comprises a central processing unit, a sensor module, a wireless communication module, an execution mechanism and a power supply system, and is characterized in that the central processing unit is used for receiving data from each sensor and processing the data through a built-in algorithm; the wireless communication module is used for exchanging information with other intelligent equipment or a cloud server; and the execution mechanism is used for driving the corresponding device to act according to the finally obtained control command. The intelligent control system has the advantages that various types of sensors are integrated to comprehensively sense the change of the surrounding environment, the response efficiency and the judgment accuracy of the system are effectively improved by means of an advanced data processing algorithm, cross-domain information docking is achieved, the overall performance of the intelligent control system is improved, the response time is shortened, and the intelligent control system is suitable for large-scale popularization and application. And the judgment reliability is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment control, and in particular to an equipment intelligent control method based on multiple sensors. Background Art

[0002] With the rapid development of Internet of Things (IoT) technology, various sensors are being used more and more widely. From temperature and humidity to light intensity and gas concentration monitoring, these sensors can collect a large amount of data in different environments. However, how to efficiently process this data and convert it into actual operating instructions has become one of the current research focuses. Most of the existing intelligent control systems on the market rely on a single type of sensor to perform specific functions, which limits the adaptability and flexibility of the system and also reduces the user experience.

[0003] In the prior art, with the rapid development of Internet of Things (IoT) technology, various sensors are being used more and more widely. From temperature and humidity to light intensity and gas concentration monitoring, these sensors can collect a large amount of data in different environments. However, how to efficiently process this data and convert it into actual operating instructions has become one of the current research focuses. Most of the existing intelligent control systems on the market rely on a single type of sensor to perform specific functions, which limits the adaptability and flexibility of the system and also reduces the user experience. Summary of the invention

[0004] In order to solve the above-mentioned problems, the present invention provides a device intelligent control method based on multiple sensors.

[0005] To achieve the above purpose, the technical solution provided by the present invention is:

[0006] A multi-sensor based intelligent control method for equipment includes a central processing unit, a sensor module, a wireless communication module, an actuator and a power supply system, wherein the central processing unit is used to receive data from each sensor and process it through a built-in algorithm; the wireless communication module is used to exchange information with other smart devices or cloud servers; and the actuator is used to drive the corresponding device to act according to the control command finally obtained.

[0007] Furthermore, the sensor module includes a temperature and humidity sensor, a light sensor and a human infrared sensor, wherein: the temperature and humidity sensor measures the ambient temperature and relative humidity through an integrated temperature and humidity probe; the light sensor uses a photosensitive element to detect the light intensity of the surrounding environment and converts it into an electrical signal for transmission; the human infrared sensor senses the presence and activity of the human body by detecting infrared rays of a specific wavelength emitted by the human body based on the principle of infrared reflection.

[0008] Furthermore, the temperature and humidity sensor is set to a high-precision digital model DHT11 / DHT22.

[0009] Furthermore, the photosensitive element includes a photoresistor, a photodiode, a transistor or BH1750.

[0010] Furthermore, the human infrared sensor is set to HC-SR501.

[0011] Furthermore, the wireless communication module is set to a Wi-Fi module ESP8266 or a Bluetooth BLE chip nRF52 series.

[0012] Furthermore, the operating voltage of all components is DC 5V±0.25V, and the maximum power consumption is ≤1W.

[0013] Furthermore, the temperature and humidity sensors, light sensors and human infrared sensors monitor the changes in the surrounding environment in real time and transmit the acquired data to the central processing unit; then the central processing unit comprehensively analyzes various indicators based on a preset algorithm model to evaluate whether the current situation meets the preset standards. When it is confirmed that the start conditions are met, the central processing unit generates corresponding control instructions and sends them to the target device through the wireless communication module; finally, the actuator completes the specified action immediately after receiving the signal.

[0014] Furthermore, it also includes a detachable camera, which is used to capture image information and compare it with an existing database to identify specific object features, thereby assisting in making more accurate judgments.

[0015] The beneficial effects achieved by the present invention using the above structure are as follows:

[0016] The present invention integrates multiple types of sensors to fully perceive changes in the surrounding environment, and effectively improves the system's response efficiency and judgment accuracy with the help of advanced data processing algorithms. Compared with the traditional single-sensor control solution, the present invention effectively avoids the information island phenomenon, realizes the docking of cross-domain information, improves the overall performance of the intelligent control system, shortens the response time, enhances the reliability of judgment, provides a richer interactive experience, and can adjust the parameters of each sensor. DETAILED DESCRIPTION

[0017] A multi-sensor based intelligent control method for equipment includes a central processing unit, a sensor module, a wireless communication module, an actuator and a power supply system, wherein the central processing unit is used to receive data from each sensor and process it through a built-in algorithm; the wireless communication module is set to a Wi-Fi module ESP8266 or a Bluetooth BLE chip nRF52 series, and the wireless communication module is used to exchange information with other smart devices or cloud servers; the actuator is used to drive the corresponding device to act according to the control command finally obtained, and also includes a detachable camera, which is used to capture image information and compare it with an existing database to identify specific object features, thereby assisting in making more accurate judgments.

[0018] The sensor module includes a temperature and humidity sensor, a light sensor and a human infrared sensor, wherein: the temperature and humidity sensor is set to a high-precision digital model DHT11 / DHT22, and the temperature and humidity sensor measures the ambient temperature and relative humidity through an integrated temperature and humidity probe; the photosensitive element includes a photoresistor, a photodiode, a transistor or BH1750, and the light sensor uses a photosensitive element to detect the light intensity of the surrounding environment and converts it into an electrical signal for transmission; the human infrared sensor is set to HC-SR501, and the human infrared sensor senses the presence and activities of the human body by detecting infrared rays of a specific wavelength emitted by the human body based on the infrared reflection principle.

[0019] The operating voltage of all components is DC 5V±0.25V, and the maximum power consumption is ≤1W.

[0020] Before use, the present invention confirms that all hardware connections are correct, especially the interface matching between the sensor and the CPU, then turns on the switch of the power supply system to supply power, then adjusts various parameter thresholds according to actual needs, such as the upper and lower limits of temperature and humidity, and the light intensity level, and then tests whether various functions are normal. If there is an abnormality, the cause of the fault should be promptly investigated, and the cleanliness of the sensor needs to be checked to avoid dust accumulation affecting the measurement accuracy; then the temperature and humidity sensor, light sensor and human infrared sensor can be used to monitor the changes in the surrounding environment in real time and transmit the acquired data to the central processing unit; then the central processing unit comprehensively analyzes various indicators based on the preset algorithm model, evaluates whether the current situation meets the preset standard, and when it is confirmed that the start-up conditions are met, the central processing unit generates a corresponding control instruction and sends it to the target device through the wireless communication module; finally, the actuator immediately completes the specified action according to the instruction after receiving the signal.

[0021] In summary: The present invention integrates multiple types of sensors to fully perceive changes in the surrounding environment, and effectively improves the system's response efficiency and judgment accuracy with the help of advanced data processing algorithms. Compared with the traditional single-sensor control solution, the present invention effectively avoids the information island phenomenon, realizes the docking of cross-domain information, improves the overall performance of the intelligent control system, shortens the response time, enhances the reliability of judgment, provides a richer interactive experience, and can adjust the parameters of each sensor.

[0022] The present invention and its implementation methods are described above, which is not restrictive and is not limited to this. In short, if ordinary technicians in this field are inspired by it and design structural methods and embodiments similar to the technical solution without creativity without departing from the purpose of the invention, they should all fall within the protection scope of the present invention.

Claims

1. A multi-sensor based intelligent control method for equipment, characterized in that: It includes a central processing unit, a sensor module, a wireless communication module, an actuator and a power supply system, wherein the central processing unit is used to receive data from various sensors and process them through a built-in algorithm; the wireless communication module is used to exchange information with other smart devices or cloud servers; the actuator is used to drive the corresponding device to act according to the final control command.

2. The multi-sensor based intelligent control method for equipment according to claim 1, characterized in that: The sensor module includes a temperature and humidity sensor, a light sensor and a human infrared sensor, wherein: the temperature and humidity sensor measures the ambient temperature and relative humidity through an integrated temperature and humidity probe; the light sensor uses a photosensitive element to detect the light intensity of the surrounding environment and converts it into an electrical signal for transmission; the human infrared sensor senses the presence and activity of the human body by detecting infrared rays of a specific wavelength emitted by the human body based on the principle of infrared reflection.

3. The multi-sensor based intelligent control method for equipment according to claim 2, characterized in that: The temperature and humidity sensor is a high-precision digital model DHT11 / DHT22.

4. The multi-sensor based intelligent control method for equipment according to claim 3, characterized in that: The photosensitive element includes a photoresistor, a photodiode, a transistor or BH1750.

5. The multi-sensor based intelligent control method for equipment according to claim 4, characterized in that: The human infrared sensor is set to HC-SR501.

6. The multi-sensor based intelligent control method for equipment according to claim 5, characterized in that: The wireless communication module is set to a Wi-Fi module ESP8266 or a Bluetooth BLE chip nRF52 series.

7. The multi-sensor based intelligent control method for equipment according to claim 5, characterized in that: The operating voltage of all components is DC 5V±0.25V, and the maximum power consumption is ≤1W.

8. The multi-sensor based intelligent control method for equipment according to claim 5, characterized in that: The temperature and humidity sensors, light sensors and human infrared sensors monitor the changes in the surrounding environment in real time and transmit the acquired data to the central processing unit; the central processing unit then comprehensively analyzes various indicators based on a preset algorithm model to evaluate whether the current situation meets the preset standards. When it is confirmed that the start conditions are met, the central processing unit generates corresponding control instructions and sends them to the target device through the wireless communication module; finally, the actuator completes the specified action immediately after receiving the signal.

9. A multi-sensor based equipment intelligent control method according to any one of claims 1 to 8, characterized in that: It also includes a detachable camera, which is used to capture image information and compare it with an existing database to identify specific object features, thereby assisting in making more accurate judgments.