Feeding system and feeding method

Abstract

The embodiment of the invention relates to the technical field of newborn feeding auxiliary equipment, and discloses a feeding system and a feeding method.The system comprises a cabin, a base, a supporting bracket, a driving bracket, a control assembly, a driving assembly and a sensor assembly; the supporting bracket is connected between the cabin and the base and is used for supporting the cabin; the driving bracket is connected with the cabin and is used for executing a feeding action; the sensor assembly is used for collecting feeding data of a newborn in real time; the control assembly obtains the feeding data collected by the sensor assembly; the control assembly outputs control parameters according to a preset feeding model and the feeding data; the driving assembly adjusts the cabin and / or the driving bracket according to the control parameters; the feeding data comprises posture, expression and mental state data of the newborn. In this way, automatic and personalized feeding is achieved, the feeding action is optimized through real-time data feedback, and the feeding comfort and feeding efficiency are improved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of neonatal feeding assistance devices, and particularly to a feeding system and a feeding method. Background Art

[0002] Existing neonatal feeding systems usually adopt a mechanized fixed structure. For example, the position of the feeding bottle is fixed by a rigid bracket, and the feeding action is completed by relying on a preset angle and a timing device. Such systems generally lack a dynamic perception and feedback mechanism, and cannot real-time perceive the physiological state of the newborn (such as swallowing rhythm, head posture, facial expression changes), and only rely on a fixed angle for feeding; at the same time, the fixed trajectory of the mechanical bracket cannot adapt to the body size differences and growth changes of different infants. In addition, existing products mostly rely on basic contact sensors (such as pressure switches), and can only detect whether the feeding bottle is installed in place, and cannot obtain non-contact physiological data (such as breathing frequency, facial micro-expression). These problems together lead to low intelligence, high safety risks, and poor user experience of existing feeding systems, and it is difficult to meet the needs of modern families for scientific and refined parenting. Summary of the Invention

[0003] The purpose of the embodiments of the present invention is to provide a feeding system and a feeding method, which can identify the state of the newborn, including the mental state, etc., control the feeding state and adjust the feeding posture in real time.

[0004] To solve the above technical problems, the embodiments of the present invention provide a feeding system. The system includes a cockpit, a base, a support bracket, a driving bracket, a control component, a driving component, and a sensor component; the support bracket is connected between the cockpit and the base for supporting the cockpit; the driving bracket is connected to the cockpit for performing a feeding action; the sensor component is used for real-time collecting the feeding data of the newborn; the control component obtains the feeding data collected by the sensor component; the control component outputs control parameters according to a preset feeding model and the feeding data; the driving component adjusts the cockpit and / or the driving bracket according to the control parameters; the feeding data includes the posture, expression, and mental state data of the newborn.

[0005] An embodiment of the present invention also provides a feeding method, which includes: obtaining feeding data, distance, temperature data, motion data, sound data, and user voice data collected by a feeding system, as well as preset feeding system control parameters, forming an influence factor matrix and uploading it to a server; using a neural network in the server to establish a complex non-linear relationship between the influence factor matrix and the preset feeding system control parameters to generate a preset feeding model; optimizing the feeding model to obtain the optimal solution of the control parameters; sending the optimal solution as a recommended decision to the feeding system through the server, and driving the feeding system to feed a newborn according to the control parameters of the recommended decision.

[0006] Compared with the prior art, the feeding system of the present invention includes a cockpit, a base, a support bracket, a driving bracket, a control component, a driving component, and a sensor component. Each structure and component is linked and cooperates with each other. The feeding data (posture, expression, mental state) of a newborn is collected by sensors, and the control component adjusts the actions of the cockpit or the driving bracket according to a preset model and real-time data. This solves the problems of traditional feeding relying on manual observation and being unable to adjust feeding actions in real time and dynamically, resulting in low feeding efficiency and poor comfort. Thus, automated and personalized feeding is achieved, and the feeding actions are dynamically optimized through real-time data feedback, improving the comfort and feeding efficiency of newborns.

[0007] In some embodiments, the sensor component includes an image sensor; the image sensor is arranged on the driving bracket and is used to obtain an image of the newborn and obtain the posture, expression, and mental state data of the newborn based on the image.

[0008] In some embodiments, the sensor component includes a distance sensor; the control parameter includes a gripper control parameter for adjusting the pose of the gripper of the driving bracket; wherein, the gripper is used to grab a feeding bottle to perform the feeding action; the distance sensor is arranged on the driving bracket and is used to obtain the distance between the gripper and the newborn; the control component obtains the gripper control parameter according to the preset feeding model and the distance; the driving component adjusts the pose of the gripper according to the gripper control parameter.

[0009] In some embodiments, the sensor component includes a temperature sensor; the control parameter includes a temperature control parameter for adjusting the temperature of the cockpit and the gripper of the driving bracket; temperature sensors are arranged on both the cockpit and the gripper of the driving bracket and are used to obtain temperature data; the control component obtains the temperature control parameter according to the preset feeding model and the temperature data; the driving component heats the cockpit and / or the gripper according to the temperature control parameter.

[0010] In some embodiments, the sensor assembly includes a motion sensor; the control parameters include motion control parameters for adjusting the poses of the cockpit and the gripper of the bracket; the motion sensor is respectively disposed on the cockpit and the gripper according to the type of the motion sensor for detecting the motion data of the newborn and the cockpit; the control component obtains the motion control parameters according to the preset feeding model and the motion data; and the driving component adjusts the poses of the cockpit and the gripper of the bracket according to the motion control parameters.

[0011] In some embodiments, the types of the motion sensor include a pressure sensor, and an acceleration and gyroscope sensor; the step of respectively disposing the motion sensor on the cockpit and the gripper according to the type of the motion sensor includes: disposing the pressure sensor on the gripper, and disposing the acceleration and gyroscope sensor on the cockpit; the motion data detected by the motion sensor includes: the actions of the newborn resisting feeding detected by the pressure sensor, and the motion trend of the cockpit detected by the acceleration and gyroscope sensor.

[0012] In some embodiments, the sensor assembly includes a microphone sensor; the control parameters include sound control parameters for adjusting the attitude of the cockpit; the microphone sensor is disposed on the cockpit for acquiring sound data; the control component obtains the sound control parameters according to the preset feeding model and the sound data; and the driving component adjusts the attitude of the cockpit according to the sound control parameters.

[0013] In some embodiments, the sound data includes user voice data; the control component specifically obtains the user control parameters according to the preset feeding model and the user voice data; and the driving component drives the system to perform the feeding actions specified by the user according to the user control parameters.

[0014] In some embodiments, the driving component includes a heating unit and a motor; wherein, the heating unit is disposed on the cockpit for heating the cockpit; the heating unit is further disposed on the gripper of the driving bracket for heating the feeding bottle; the motor includes a brushless motor and a servo motor; wherein, the brushless motor is disposed on the support bracket for adjusting the angle of the cockpit; and the servo motor is disposed on the driving bracket for performing the feeding actions. Description of the Drawings

[0015] One or more embodiments are illustrated by way of example in the accompanying drawings, which illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are represented as similar elements, unless otherwise stated, and the figures in the drawings do not constitute a scale limitation.

[0016] Figure 1 is a schematic structural diagram of a feeding system provided according to an embodiment of the present application;

[0017] Figure 2 is an electronic block diagram related to the feeding system provided according to an embodiment of the present application;

[0018] Figure 3 is a flowchart of a feeding method provided according to an embodiment of the present application. Detailed Embodiments

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will elaborate on the various embodiments of the present invention with reference to the accompanying drawings. However, those of ordinary skill in the art can understand that in the various embodiments of the present invention, many technical details are provided to help readers better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in the present application can still be implemented. The following division of each embodiment is for convenience of description and should not constitute any limitation on the specific implementation of the present invention. The various embodiments can be combined and cross-referenced with each other on the premise of not being contradictory.

[0020] The first embodiment of the present invention relates to a feeding system. Please refer to Figure 1 and Figure 2 , the system includes a cockpit, a base, a support bracket, a drive bracket, a control component, a drive component, and a sensor component; the support bracket is connected between the cockpit and the base for supporting the cockpit; the drive bracket is connected to the cockpit for performing feeding actions; the sensor component is used to collect real-time feeding data of the newborn; the control component obtains the feeding data collected by the sensor component; the control component outputs control parameters according to a preset feeding model and the feeding data; the drive component adjusts the cockpit and / or the drive bracket according to the control parameters; the feeding data includes the posture, expression, and mental state data of the newborn. In this way, by collecting the feeding data of the newborn (posture, expression, mental state) through sensors, the control component adjusts the actions of the cockpit or the drive bracket according to the preset model and real-time data, solving the problems of traditional feeding relying on manual observation and being unable to adjust feeding actions in real time and dynamically, resulting in low feeding efficiency and poor comfort. Thus, automated and personalized feeding is achieved, and the feeding actions are dynamically optimized through real-time data feedback, improving the comfort and feeding efficiency of the newborn.

[0021] Specifically, the feeding system mainly consists of two parts: the appearance structure and the electronic part. The appearance structure includes the cockpit, the base, the support bracket, and the drive bracket. Among them, the support bracket is connected between the cockpit and the base to support the cockpit. The support bracket of the feeding system of the present invention can adopt a triangular bracket or other types of brackets. The structural stability is enhanced through the triangular bracket, thereby preventing the cockpit from tipping over due to excessive movement of the newborn during feeding. In addition to providing feeding services for the newborn, the feeding system can also be used as a cradle. When switched to the cradle mode, the system will automatically enter the sleep-aiding function to help the newborn fall asleep.

[0022] Please refer to Figure 2 , Figure 2 which shows the block diagram of the electronic part of the feeding system. Most of the electronic parts are integrated on the cockpit. The electronic part includes a control component, a drive component, and a sensor component, and also includes a battery and touch buttons.

[0023] Specifically, the battery is the core power source of the system, equivalent to the heart of the human body, responsible for providing power for the entire system, supporting the normal operation of all electronic devices such as the control component and the sensor component, so as to achieve the required functions.

[0024] The control component can be compared to the brain of the human body, including a control module, a Wi-Fi / Bluetooth module, a charging module, and a cellular communication module, etc. The main functions of the control module include:

[0025] 1. Detection of the touch button state, identifying whether the button is pressed, so as to realize operations such as turning on, standby, and turning off the system;

[0026] 2. Detection of the sensor state. The sensors include a microphone sensor, an image sensor, a pressure sensor, an acceleration and gyroscope sensor, a distance sensor, etc. By obtaining the parameters of these sensors, various states of the newborn are monitored in real time;

[0027] 3. Communicating with the Bluetooth and wireless communication modules to obtain user parameters from the server, or supporting user control through the mobile phone APP;

[0028] 4. Outputting appropriate parameters to the drive component to realize the adjustment of multiple states such as angle and strength;

[0029] 5. Realizing the charging management of the battery.

[0030] Furthermore, the Wi-Fi or Bluetooth module in the control component is a low-power communication module for connecting to a mobile phone. When there is no network, Bluetooth can be used as an interface to communicate with the mobile phone, supporting mobile APP control and information acquisition. In addition, Bluetooth can also be used for voice interaction such as music with the cockpit. The cellular communication module is usually a 4G module, supporting system upgrades and remote control; when there is no Wi-Fi network, it can interact with the feeding system through the cellular communication module. The charging module in the control component is responsible for the charging and discharging management of the battery and can also supply power to the feeding system independently. When the charger is plugged in, the system preferentially uses the charger to supply power, and the battery is in a charging state at this time; when the charger is unplugged, the system automatically switches to battery power supply, thus extending the battery life.

[0031] The sensor component on the cockpit can be regarded as the sensory organs of the human body, including microphone sensors, image sensors, pressure sensors, acceleration and gyro sensors, distance sensors, temperature sensors, etc. Among them, the touch button can be a mechanical button or a touch button, supporting user interaction with the device. The sensor component is equivalent to the hands and feet of the human body, including components such as speakers, brushless motors, servos, and heating units.

[0032] To facilitate those skilled in the art to better understand the feeding system disclosed in the above embodiments, the following will further explain each of its components.

[0033] In some embodiments, the sensor component includes an image sensor; the image sensor is disposed on the driving bracket for acquiring an image of the newborn and obtaining data on the posture, expression, and mental state of the newborn based on the image.

[0034] Specifically, the image sensor is the core component of the system, with a resolution of 2 million pixels or more, featuring high definition and a wide viewing angle. The image sensor is mounted on the driving bracket, facing the newborn directly, and can monitor their facial expressions, mental state, etc. in real time. The acquired images will be transmitted to the control component for processing. Through the visual data captured by the image sensor, the system can accurately identify the state of the newborn (such as choking warning, emotion recognition, etc.), providing high-precision input for the control module. This design effectively solves the problem of the lack of objective and quantitative monitoring of the physiological state of the newborn and avoids subjective judgment of their state.

[0035] In some embodiments, the sensor assembly includes a distance sensor; the control parameters include gripper control parameters for adjusting the pose of the gripper of the drive bracket; wherein, the gripper is used to grasp the feeding bottle to perform the feeding action; the distance sensor is disposed on the drive bracket for obtaining the distance between the gripper and the neonate; the control component obtains the gripper control parameters according to the preset feeding model and the distance; and the drive component adjusts the pose of the gripper according to the gripper control parameters.

[0036] Specifically, the distance sensor can be a laser sensor, an infrared sensor, a TOF (Time of Flight) sensor, etc. These sensors can accurately measure the distance between the device and the object to be measured. The control component calculates the corresponding focal length by obtaining this distance information and outputs the result to the drive component, thereby adjusting the device to the correct position. In this way, the system can dynamically maintain a safe distance between the feeding bottle and the neonate in real time, effectively preventing accidental injuries caused by being too close or too far, and significantly improving the safety during the feeding process. This technology solves the risks such as choking or collision that may be caused by improper positioning of the feeding bottle during the feeding process.

[0037] In some embodiments, the sensor assembly includes a temperature sensor; the control parameters include temperature control parameters for adjusting the temperature of the cockpit and the gripper of the drive bracket; temperature sensors are disposed on both the cockpit and the gripper of the drive bracket for obtaining temperature data; the control component obtains the temperature control parameters according to the preset feeding model and the temperature data; and the drive component heats the cockpit and / or the gripper according to the temperature control parameters.

[0038] Specifically, the accuracy requirement of the temperature sensor in this system is not high. It is mainly used to detect the ambient temperature, the temperature of the cockpit, and the temperature of the feeding bottle, etc. The sensors will be installed on the cockpit and the gripper of the drive bracket and transmit the temperature information to the control component in real time. Through the detection of the temperature sensor, the system can timely adjust and maintain the constant temperature state of the milk liquid and the appropriate temperature in the cockpit, thereby improving the comfort during the feeding process. This can effectively avoid the impact on the comfort of the neonate caused by too low temperature of the milk liquid or inappropriate temperature of the cockpit environment.

[0039] In some embodiments, the sensor assembly includes a motion sensor; the control parameters include motion control parameters for adjusting the pose of the cockpit and the gripper of the bracket; the motion sensor is respectively disposed on the cockpit and the gripper according to the type of the motion sensor for detecting the motion data of the neonate and the cockpit; the control component obtains the motion control parameters according to the preset feeding model and the motion data; and the drive component adjusts the pose of the cockpit and the gripper of the bracket according to the motion control parameters.

[0040] Further, in some embodiments, the types of the motion sensors include pressure sensors, as well as acceleration and gyro sensors; setting the motion sensors on the cockpit and the gripper respectively according to the types of the motion sensors includes: setting the pressure sensor on the gripper, and setting the acceleration and gyro sensors on the cockpit; the motion data detected by the motion sensors includes: the actions of the newborn resisting feeding detected by the pressure sensor, and the motion trend of the cockpit detected by the acceleration and gyro sensors.

[0041] Specifically, the motion sensor can be a combination of an acceleration sensor and a gyro sensor, installed on the cockpit to detect the stability of the cockpit and the movement amplitude of the newborn. When the sensor detects that the movement amplitude is too large, the control component will immediately obtain the information and adjust the angles of the cockpit and the base tripod to ensure the stability of the cockpit. At the same time, the system will remind the user to pay attention to the situation of the newborn. The pressure sensor is installed on the gripper of the driving bracket to detect the action force of the gripper. When the newborn makes an outward pushing action, it indicates that the feeding posture needs to be adjusted, or the newborn has been fed enough. The pressure sensor will transmit the data to the control component in real time, and the control component will make corresponding adjustments according to the information to avoid adverse phenomena such as vomiting. By monitoring the motion state in real time and adjusting the pose of the cockpit, the system can also detect the resistance actions of the newborn through the pressure sensor, and at the same time predict whether the cockpit is out of balance with the help of the acceleration and gyro sensors, and achieve active avoidance or attitude compensation in time. In this way, the stability during feeding is guaranteed, effectively avoiding the situation that the movement and resistance actions (such as turning the head) of the newborn are not recognized in time, or the feeding is interrupted or forced feeding due to the shaking of the cockpit.

[0042] In some embodiments, the sensor assembly includes a microphone sensor; the control parameters include voice control parameters for adjusting the pose of the cockpit; the microphone sensor is set on the cockpit to obtain voice data; the control component obtains the voice control parameters according to the preset feeding model and the voice data; the driving component adjusts the pose of the cockpit according to the voice control parameters.

[0043] Further, in some embodiments, the voice data includes user voice data; the control component specifically obtains the user control parameters according to the preset feeding model and the user voice data; the driving component drives the system to execute the feeding actions specified by the user according to the user control parameters.

[0044] The microphone sensor can be an analog electret microphone, an analog silicon microphone, or a digital microphone, which is used to capture the cries and laughter of newborns as well as the voice commands of users, such as starting the cradle mode, etc. Through voice interaction, the system can adjust the cockpit posture in real time (such as performing soothing rocking), thereby enhancing the human-machine collaboration ability and improving the interactivity and flexibility of the system. This design effectively avoids the problem that the system cannot respond to the cries of newborns or the voice commands of users.

[0045] In some embodiments, the driving assembly includes a heating unit and a motor; wherein, the heating unit is arranged in the cockpit for heating the cockpit; the heating unit is also arranged on the handle of the driving bracket for heating the feeding bottle; the motor includes a brushless motor and a servo motor; wherein, the brushless motor is arranged on the support bracket for adjusting the angle of the cockpit; the servo motor is arranged on the driving bracket for performing the feeding action.

[0046] Specifically, the brushless motor can realize the adjustment of angles, forces, etc. in the feeding system. The brushless motor is installed on the driving bracket and the base tripod. The bracket includes at least three dimensions and can realize the adjustment of any angle. The feeding system has certain precision requirements for the brushless motor, and can at least respond to the adjustment of 0.5 degrees, with the precision controlled within ±1 degree. The servo motor is mainly installed on the handle at the front end of the driving bracket for grasping items such as feeding bottles. The heating unit is used to heat the cockpit or the feeding bottle, etc. in winter or when the weather is cold. The heating unit is integrated on the cockpit and the handle of the driving bracket to ensure that the newborn is in a comfortable temperature environment. The comfortable temperature of the newborn is generally around 25 degrees. When the temperature sensor detects that the ambient temperature is lower than the comfortable range, the system will automatically heat the cockpit. When it is detected that the temperature of the feeding bottle is lower than 42 degrees, the feeding bottle heating function will also be activated to ensure that the temperature during feeding always remains within the appropriate range. By using the brushless motor to realize the smooth angle adjustment of the cockpit, the servo motor to precisely perform the feeding action, and the heating unit to ensure the temperature comfort, this design effectively solves the problem that the traditional driving structure cannot simultaneously meet the requirements of temperature control and high-precision action.

[0047] In addition to the above structural components, the driving assembly of the feeding system disclosed in the present invention further includes a horn speaker, which is usually installed at a position close to the base of the cockpit or in front of the user. The horn speaker, as one of the interaction methods of the system, can prompt the user to perform necessary operations. When the system enters the cradle mode, the speaker can also play music to help the newborn fall asleep.

[0048] The feeding system of the present invention obtains the status information of the newborn through various sensors and processes it through the control component. The data can also be uploaded to the server for comparison with the background data, and the parameters such as the angles and forces of the cockpit and the driving bracket are adjusted in real time. Through this automated and personalized feeding method, the system can dynamically optimize the feeding actions and improve the comfort and feeding efficiency of the newborn.

[0049] Another embodiment of the present invention relates to a feeding method, which includes: obtaining the feeding data, distance, temperature data, motion data, sound data, and user voice data collected by the feeding system, as well as the preset control parameters of the feeding system, forming an influence factor matrix and uploading it to the server; using a neural network in the server to establish a complex non-linear relationship between the influence factor matrix and the preset control parameters of the feeding system to generate a preset feeding model; optimizing the feeding model to obtain the optimal solution of the control parameters; sending the optimal solution as a recommended decision to the feeding system through the server, and driving the feeding system according to the control parameters of the recommended decision to feed the newborn. In this way, by using machine learning to establish a multi-factor non-linear relationship and generate the optimal control parameters, intelligent and adaptive feeding is realized. It solves the problems in the existing feeding systems that it is difficult to dynamically integrate multi-source data (physiological, environmental, user instructions), and the control parameters rely on empirical settings, etc.

[0050] Specifically, in some embodiments, the process of the feeding method is as Figure 3 shown, including the following steps:

[0051] Step 101, obtain the feeding data, distance, temperature data, motion data, sound data, and user voice data collected by the feeding system, as well as the preset control parameters of the feeding system, form an influence factor matrix and upload it to the server.

[0052] Specifically, in step 101, the feeding data is obtained through the image sensor in the sensor component, and the feeding data includes the posture, expression, and mental state data of the newborn; the distance between the gripper of the driving bracket and the newborn is obtained through the distance sensor in the sensor component; the temperature of the gripper of the driving bracket and the temperature of the cockpit are obtained through the temperature sensor of the sensor component; the motion data of the newborn is determined through the motion sensor in the sensor component; the sound data and user voice data are obtained through the microphone sensor in the sensor component; the preset control parameters of the feeding system are the control parameters of the current feeding system.

[0053] Each type of sensor collects data every 2 hours and uploads it to the server. The server receives the data and gives the control parameters corresponding to the currently recommended feeding method through the feeding model to adjust the states of the various components of the feeding system.

[0054] Step 102: Use a neural network within the server to establish a complex non-linear relationship between the influence factor matrix and the preset control parameters of the feeding system, and generate a preset feeding model; optimize the feeding model to obtain the optimal solution of the control parameters.

[0055] Step 103: Use the optimal solution as a recommendation decision and send it to the feeding system through the server, and drive the feeding system to feed the newborn according to the control parameters of the recommendation decision.

[0056] Meanwhile, the user can open the intelligent feeding interface on the terminal device, and the user can set the control parameters of the ideal feeding method on the interface.

[0057] The present invention provides a feeding method. First, collect information such as the physiological index parameters and images of the newborn using hardware such as sensors and cameras; then, upload the collected data to the server for storage. Use a neural network within the server to establish a complex non-linear relationship between the influence factor matrix and the preset control parameters of the feeding system to obtain a feeding model, use an algorithm to optimize the feeding model, obtain a set of optimal values of each decision variable, and use this set of optimal solutions as a recommendation decision and send it to the feeding system. Finally, the user can determine the specific feeding control parameters according to the recommendation decision. This method can determine the control parameters of the optimal feeding system and achieve intelligent and adaptive feeding.

[0058] Those of ordinary skill in the art can understand that the above embodiments are specific embodiments for implementing the present invention, and in practical applications, various changes can be made in form and details without departing from the spirit and scope of the present invention.

Claims

1. A feeding system, characterized in that: The system includes a cockpit, a base, a support bracket, a drive bracket, a control component, a drive component and a sensor component; The supporting bracket is connected between the cockpit and the base for supporting the cockpit; the driving bracket is connected to the cockpit for performing feeding actions; The sensor assembly is used to collect feeding data of the newborn in real time; The control component acquires the feeding data collected by the sensor component; The control component outputs control parameters according to a preset feeding model and the feeding data; The driving component adjusts the cabin and / or the driving bracket according to the control parameter; The feeding data includes data on the posture, expression and mental state of the newborn.

2. The feeding system according to claim 1, characterized in that The sensor assembly includes an image sensor; The image sensor is arranged on the driving bracket, and is used for acquiring the image of the newborn, and acquiring the posture, expression and mental state data of the newborn based on the image.

3. The feeding system according to claim 1, characterized in that The sensor assembly includes a distance sensor; the control parameter includes a gripper control parameter for adjusting the position of the gripper of the driving bracket; wherein the gripper is used to grasp a milk bottle to perform the feeding action; The distance sensor is arranged on the driving bracket and is used to obtain the distance between the gripper and the newborn; The control component obtains the gripper control parameter according to the preset feeding model and the distance; and the drive component adjusts the gripper's posture according to the gripper control parameter.

4. The feeding system according to claim 1, characterized in that The sensor assembly includes a temperature sensor; the control parameters include temperature control parameters for adjusting the gripper of the cabin and the drive bracket; The temperature sensor is provided on the cockpit and the gripper of the driving bracket for acquiring temperature data; The control component obtains the temperature control parameter according to the preset feeding model and the temperature data; the drive component heats the cabin and / or the gripper according to the temperature control parameter.

5. The feeding system according to claim 1, characterized in that: The sensor assembly includes a motion sensor; the control parameters include motion control parameters for adjusting the position and posture of the cockpit and the gripper of the bracket; The motion sensors are respectively arranged on the cabin and the gripper according to the type of the motion sensors, so as to detect the motion data of the newborn and the cabin; The control component obtains the motion control parameters according to the preset feeding model and the motion data; the drive component adjusts the posture of the cockpit and the gripper of the bracket according to the motion control parameters.

6. The feeding system according to claim 5, characterized in that The types of the motion sensors include pressure sensors, and acceleration and gyroscope sensors; and the steps of respectively arranging the motion sensors on the cabin and the gripper according to the types of the motion sensors include: The pressure sensor is arranged on the gripper, and the acceleration and gyroscope sensors are arranged on the cockpit; The motion data detected by the motion sensor includes: The pressure sensor detects the newborn's resistance to feeding, and the acceleration and gyroscope sensors detect the movement trend of the cabin.

7. The feeding system according to claim 1, characterized in that The sensor assembly includes a microphone sensor; the control parameter includes a sound control parameter for adjusting the attitude of the cockpit; The microphone sensor is arranged on the cockpit for acquiring sound data; the control component obtains the sound control parameter according to the preset feeding model and the sound data; and the driving component adjusts the posture of the cockpit according to the sound control parameter.

8. The feeding system according to claim 7, characterized in that The sound data includes user voice data; the control component obtains the user control parameter specifically according to the preset feeding model and the user voice data; and the driving component drives the system to execute the feeding action specified by the user according to the user control parameter.

9. The feeding system according to any one of claims 1 to 8, characterized in that The driving assembly includes a heating unit and a motor; wherein, The heating unit is arranged on the cabin to heat the cabin; the heating unit is also arranged on the gripper of the driving bracket to heat the milk bottle; The motor includes a brushless motor and a steering gear; wherein, The brushless motor is arranged on the support bracket and is used to adjust the cockpit angle; The servo is arranged on the driving bracket and is used for performing the feeding action.

10. A feeding method, characterized in that: The method comprises: Obtain feeding data, distance, temperature data, motion data, sound data and user voice data collected by the feeding system, as well as preset feeding system control parameters, form an influencing factor matrix and upload it to the server; A complex nonlinear relationship between an influencing factor matrix and preset feeding system control parameters is established in the server by using a neural network to generate a preset feeding model; the feeding model is optimized to obtain an optimal solution for the control parameters; The optimal solution is sent as a recommended decision to the feeding system through the server, and the feeding system is driven according to the control parameters of the recommended decision to feed the newborn.

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