CN117284174B - Seating sensing method and system for child safety seat - Google Patents

Abstract

The invention relates to the technical field of safety seats, solves the problem that the child seat induction cannot be accurately realized on a child safety seat due to the interference of pets or other articles in the prior art, and provides a seat induction method and a seat induction system on the child safety seat. The method comprises the following steps: the method comprises the steps of obtaining pressure sensing triggering information of a preset area on the child safety seat, wherein the preset area at least comprises: a headrest area, a backrest area, and a seating surface area; according to the pressure sensing triggering information, if the seating surface area is detected to be triggered, determining that a target to be identified is seated; when the target to be identified is determined to be seated, if the backrest area is triggered and/or the headrest area is triggered, determining that the target to be identified is a child; and when the child is determined to be sitting, controlling the safety seat to work. The invention avoids the interference of pets or other articles and improves the accuracy of the child seat sensing on the child safety seat.

Description

Seat sensing method and system for child safety seat

Technical Field

The present invention relates to the technical field of safety seats, and in particular to a seating sensing method and system for a child safety seat.

Background technique

Child safety seats are important equipment for protecting children when riding in cars. Accurate seat sensing can ensure that children sit in the seat correctly to minimize the risk of injury in traffic accidents. On the contrary, inaccurate seat sensing may cause children to sit in an unsafe position or position, thereby increasing the possibility of injury. In many countries, the use of child safety seats is required by law. Violation of these regulations may result in fines or other legal consequences. Therefore, accurate seat sensing is an important part of ensuring compliance with regulations.

The existing Chinese patent CN113386634A discloses a car seat with an intelligent control system, including: the number of pressure sensors on each seat is four, including two central pressure sensors and two edge pressure sensors, the sum of the pressures detected by the four pressure sensors is used as the pressure value output to the outside; and when the sum of the pressure values detected by the two edge pressure sensors is less than the sum of the pressure values detected by the two central pressure sensors, the difference between the sum of the pressure values detected by the edge pressure sensors and the sum of the pressure values detected by the central pressure sensors is calculated, if the difference is greater than the threshold, a thin signal is sent to the intelligent control processor to judge that the passenger on the seat is thin, if the difference is less than the threshold, a plump signal is sent to the intelligent control processor to judge that the passenger on the seat is plump. The car seat with the above intelligent control system can judge the body shape of the passenger according to the pressure values of the central pressure sensor and the edge pressure sensor, but the four pressure sensors in the above scheme are only placed on the seat cushion, if only the pressure of the seat cushion area is used to judge the seat-entry sensing, it may cause false alarms, and pets or other objects are mistakenly identified as children, which will cause unnecessary interference and trouble, reducing the credibility and availability of the system.

Therefore, how to accurately sense the child's seating position on a child safety seat and avoid interference from pets or other objects is an urgent problem to be solved.

Summary of the invention

In view of this, the present invention provides a seating sensing method and system for a child safety seat, which is used to solve the problem in the prior art that the child seating sensing cannot be accurately implemented on the child safety seat due to interference from pets or other objects.

The technical solution adopted by the present invention is:

In a first aspect, the present invention provides a method for sensing seating on a child safety seat, the method comprising:

S1: Obtaining pressure sensing trigger information of a preset area on the child safety seat, wherein the preset area at least includes: a headrest area, a backrest area, and a seat surface area;

S2: if it is detected that the seat surface area is triggered according to the pressure sensing trigger information, it is determined that the target to be identified is seated;

S3: when it is determined that a target to be identified is seated, if it is detected that the backrest area is triggered and/or the headrest area is triggered, it is determined that the target to be identified is a child;

S4: When it is determined that a child is seated, the safety seat is controlled to operate.

Preferably, the S1 includes:

S11: obtaining the initial density of the supporting material in each of the preset areas of the child safety seat, wherein the headrest area corresponds to the first initial density of the supporting material, the backrest area corresponds to the second initial density of the supporting material, and the seat area corresponds to the third initial density of the supporting material, the first initial density is less than the second initial density, and the second initial density is less than the third initial density;

S12: adjusting the first initial density, the second initial density, and the third initial density respectively according to the preset child age and child weight until the supporting material can withstand the triggering pressure corresponding to the preset child age and child weight, wherein the triggering pressure includes a first triggering pressure, a second triggering pressure, and a third triggering pressure;

S13: if the actual pressure borne by the supporting material corresponding to the headrest area after the first initial density is adjusted is greater than the first triggering pressure, it is detected that the head area is triggered;

S14: if the actual pressure on the supporting material corresponding to the backrest area after the second initial density is adjusted is greater than the second triggering pressure, it is detected that the backrest area is triggered;

S15: If the actual pressure on the supporting material corresponding to the seat surface area after the third initial density adjustment is greater than the third triggering pressure, it is detected that the seat surface area is triggered.

Preferably, the S11 includes:

S111: Divide the seat surface area into a plurality of target areas, wherein the target areas at least include: a seat front area, a seat side area, and a seat rear area;

S112: adjusting the density of the support material in each of the target areas to obtain a target density, wherein the target density at least includes: a first target density corresponding to the front area of the seat surface, a second target density corresponding to the two side areas of the seat surface, and a third target density corresponding to the rear area of the seat surface, the second target density is less than the first target density, and the first target density is less than the third target density;

S113: averaging the first target density, the second target density and the third target density to obtain the third initial density.

Preferably, the S3 includes:

S31: when it is determined that the target to be identified is seated, if it is detected that the backrest area is triggered and/or the headrest area is triggered, obtaining the real-time thermal infrared radiation intensity of each of the preset areas;

S32: Calculating the real-time temperature value of each of the preset areas according to the real-time thermal infrared radiation intensity;

S33: Determine whether the real-time temperature value matches a preset target temperature, and if so, determine that the target to be identified is a child.

Preferably, the S33 includes:

S331: Acquire a first temperature interval corresponding to the seat surface area, a second temperature interval corresponding to the backrest area, and a third temperature interval corresponding to the headrest area;

S332: Obtaining a first real-time average temperature corresponding to the seat surface area, a second real-time average temperature corresponding to the backrest area, and a third real-time average temperature corresponding to the headrest area;

S333: If the first temperature mean is within the first temperature range, and/or the second temperature mean is within the second temperature range, and/or the third temperature mean is within the third temperature range, it is determined that the target to be identified is a child.

Preferably, the S332 includes:

S3321: Obtain a preset first time interval;

S3322: Acquire a set of real-time temperature values corresponding to each preset area within the first time interval according to the first time interval;

S3323: Perform averaging processing on the real-time temperature value set and output the real-time temperature mean.

Preferably, the S333 includes:

S3331: If the first temperature average is within the first temperature interval, and/or the second temperature average is within the second temperature interval, and/or the third temperature average is within the third temperature interval, then obtain a preset second time interval;

S3332: Counting the original data of seat belt extension and retraction in the second time interval according to the second time interval;

S3333: Calculating the real-time breathing frequency of the seated target according to the original data and the second time interval;

S3334: When the real-time respiratory frequency is within a preset children's respiratory frequency range, it is determined that the target to be identified is a child.

Preferably, the S3333 includes:

S33331: Filter the original data and output the filtered initial data;

S33332: Input the initial data into a pre-trained machine learning model for secondary correction, and output the corrected target data, wherein the target data includes at least: the number of seat belt extensions and the number of seat belt contractions, and the machine learning model is constructed based on at least one of the following algorithms: support vector machine, random forest and deep learning model.

In a second aspect, an embodiment of the present invention further provides a seating sensing system for a child safety seat, the system comprising: a seat body, a pressure detection unit, a controller and an infrared pyroelectric sensor, the seat body being detachably arranged in a vehicle for a child to sit on; the pressure detection unit being arranged in the headrest area, backrest area and seat surface area of the seat, for bearing pressure and transmitting a trigger signal to the controller; the infrared pyroelectric sensor being arranged in the headrest area, backrest area and seat surface area of the seat, for collecting real-time thermal infrared radiation intensity and transmitting the collected data to the controller; the controller being used to implement the seating sensing method for a child safety seat as described in any one of claims 1 to 8.

Preferably, the pressure detection unit comprises: a first Mylar sheet, a supporting material and a second Mylar sheet, wherein the upper and lower Mylar sheets are respectively affixed with conductive tin foil.

In summary, the beneficial effects of the present invention are as follows:

The present invention provides a seating sensing method and system for a child safety seat, the method comprising: obtaining pressure sensing trigger information of a preset area on the child safety seat, the preset area comprising at least a headrest area, a backrest area and a seat surface area; based on the pressure sensing trigger information, if it is detected that the seat surface area is triggered, it is determined that a target to be identified is seated; when it is determined that the target to be identified is seated, if it is detected that the backrest area is triggered and/or the headrest area is triggered, it is determined that the target to be identified is a child; when it is determined that a child is seated, the safety seat is controlled to operate. The present invention can monitor the triggering situation on the seat more comprehensively by setting multiple preset areas, including the headrest, backrest and seat surface areas. Since the headrest and backrest areas are closely related to the child's seat position, this multi-area trigger recognition can improve the accuracy of seat sensing. At the same time, by detecting the seat of the target to be identified, and then further the child's seat, different recognition levels are added, which helps to further accurately distinguish children from other non-children's items, such as books, clothes and pets. When it is determined that the target to be identified is seated, if the backrest area is detected to be triggered and/or the headrest area is triggered, it is identified as a child sitting, and then it is identified as a child sitting, further avoiding the accidental touch caused by other items. Once it is identified as a child sitting, it also provides a function of controlling the safety seat to heat, which is very important for ensuring the comfort and safety of children in the seat. The child seat sensing is used as a starting condition, and timely heating control is used to provide children with a better riding experience. Therefore, the present invention improves the accuracy and practicality of child seat sensing through multi-area triggering and differentiated recognition, as well as heating control functions, while taking into account the comfort and safety of children.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solution of the embodiment of the present invention, the drawings required for use in the embodiment of the present invention will be briefly introduced below. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work, and these are all within the protection scope of the present invention.

FIG1 is a schematic structural diagram of a seating sensing system on a child safety seat in Embodiment 1 of the present invention;

FIG2 is a schematic diagram of the structure of a pressure detection unit in Embodiment 1 of the present invention;

FIG3 is a schematic diagram of the overall working process of the seating sensing method for a child safety seat in Embodiment 2 of the present invention;

FIG4 is a schematic diagram of a process for obtaining a trigger condition of a preset area in Embodiment 2 of the present invention;

FIG5 is a schematic diagram of a process for obtaining the initial density of the support material in the seat surface area in Embodiment 2 of the present invention;

FIG6 is a schematic diagram of a process for further identifying a child's seat by using the real-time thermal infrared radiation intensity of each of the preset areas in Embodiment 3 of the present invention;

FIG7 is a schematic diagram of a process for matching the real-time temperature with the target temperature in Embodiment 3 of the present invention;

FIG8 is a schematic diagram of a process for obtaining a real-time temperature average in Embodiment 3 of the present invention;

FIG9 is a schematic diagram of a process of further identifying a child's seat according to breathing frequency in Embodiment 4 of the present invention;

10 is a schematic diagram of a flow chart of preprocessing collected raw data of seat belt extension and retraction in Embodiment 4 of the present invention;

The numbers in the figure are as follows:

1-seat body; 21-pressure detection unit in the seat area; 22-pressure detection unit in the backrest area; 23-pressure detection unit in the headrest area; 3-infrared pyroelectric sensor; 41-upper Mylar sheet; 42-lower Mylar sheet; 5-conductive tin foil; 6-support material.

Detailed ways

In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution in the embodiment of the present invention will be clearly and completely described in conjunction with the drawings in the embodiment of the present invention. It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. In the description of the present invention, it should be understood that the orientation or position relationship indicated by the terms "center", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. Moreover, the term "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such a process, method, article or device. In the absence of further restrictions, the elements defined by the phrase "comprising..." do not exclude the existence of other identical elements in the process, method, article or device comprising the elements. If there is no conflict, the embodiments of the present invention and the various features in the embodiments can be combined with each other, all within the protection scope of the present invention.

Example 1

Please refer to Figure 1. Embodiment 1 of the present invention discloses a seating sensing system for a child safety seat, the system comprising: a seat body 1, a pressure detection unit 21, a pressure detection unit 22 and a pressure detection unit 23, a controller (not shown) and an infrared pyroelectric sensor 3. The seat body 1 can be detachably arranged in a vehicle for children to sit on; the pressure detection units 21, 22 and 23 are arranged in the headrest, backrest and seat surface areas of the seat, and are used to withstand the pressure of children sitting on the seat, and transmit the trigger signal to the controller; the infrared pyroelectric sensor 3 is arranged in the headrest, backrest and seat surface areas of the seat, and is used to collect real-time thermal infrared radiation intensity, and transmit the collected data to the controller; the controller is used to implement the seating sensing method for a child safety seat as described above.

Specifically, the seating sensing system on the child safety seat provided by the embodiment of the present invention comprises: the seat body 1 is a detachable seat, which is usually installed inside the vehicle for children to sit on. It provides a safe and comfortable seat for children; the pressure detection unit 2 is located in the headrest, backrest and seat surface area of the seat, and is used to sense and withstand the pressure applied to the seat when the child sits on it; wherein, the headrest area is the top part of the child safety seat, which is used to provide support and protection for the head and neck. It is usually located at the top of the seat and has an appropriate curvature to ensure that the movement of the head can be effectively reduced in an accident. The position of the headrest area should be directly above the child's head, and the height should be adjusted according to the child's age and height to ensure that the head is properly supported. The headrest area is usually connected to the backrest area to provide comprehensive head and neck protection; the backrest area is the child safety seat The back part is used to provide support and protection for the trunk. The backrest area is usually located directly behind the child's back to ensure that the trunk is firmly supported in an accident, thereby reducing the risk of injury to the spine and trunk. The position of the backrest area is usually together with the headrest area to ensure comprehensive body support and protection. The angle of the backrest area should also be appropriate to keep the child's body in the correct position. The seat area is the seat part of the child safety seat, which is used to support the child's hips and thighs. The seat area is usually located in front of the backrest area to ensure that the child's body is properly supported and stable. The position of the seat area should ensure that the child's thighs are in a horizontal position and the knees are bent at an appropriate angle to ensure the child's comfort and safety. The relative positions of the above areas are interrelated to provide comprehensive protection. The headrest area and the backrest area are usually closely connected to ensure that the head and torso are supported and reduce the risk of injury to the neck and back. The seat area is located in front of these two areas to ensure that the child's lower body is properly supported. When a child sits on the seat, the pressure detection unit generates a trigger signal and transmits the signal to the controller; infrared pyroelectric sensors 3 are also set in the headrest, backrest and seat area of the seat. These sensors are used to collect real-time thermal infrared radiation intensity data, provide temperature information of the seat area, and can be used to assist in the detection of child seating; controller: The controller is the core part of the system, which receives data from the pressure detection unit and the infrared pyroelectric sensor. The controller implements the seating sensing method and determines whether a child is seated based on these data. This system avoids interference from pets or other objects and improves the accuracy of child seating sensing on child safety seats.

In one embodiment, referring to FIG. 2 , the pressure detection unit includes: a first Mylar sheet 41 , a supporting material 6 and a second Mylar sheet 42 , wherein conductive tin foil 5 is attached to the upper and lower Mylar sheets respectively.

Specifically, the upper and lower parts of the pressure detection unit 2 are composed of Mylar sheets, which are key supporting structures. The Mylar sheets 41 can sense the pressure applied to the seat when the child sits on it by bending and stretching. Their materials and designs are usually carefully selected to ensure that they are not prone to fatigue during long-term use and have good durability. Conductive copper foil 5 (or other alternative materials): Conductive copper foil 5 is attached to the Mylar sheet to transmit the trigger signal of the pressure detection unit 2. These conductive copper foils can be replaced by other conductive materials, but their main function is to transmit the trigger signal to the system controller for further analysis; the supporting material 6 is a key component and is located between the Mylar sheets. Its design shape is usually in the shape of a "sun" to provide uniform support. By adjusting the density and height of the supporting material 6, the sensitivity of the trigger can be controlled. The necessary characteristics of the supporting material 6 include support, compression deformation, and automatic recovery to the original state when not compressed. Optional characteristics include waterproofing. The supporting material 6 includes at least one or more of the following materials: silicone sponge, polyurethane sponge and memory foam. Due to the support of the supporting material 6, the upper and lower conductive copper foils 5 will not contact to form a short circuit. When the supporting material 6 is subjected to a preset pressure, the conductive copper foil 5 will form a short circuit. The greater the density of the supporting material 6 and the greater the pressure it can withstand, the less likely the corresponding area will be triggered. Since child safety seats may be used in various environmental conditions, waterproof performance is very important. The connection between the supporting material 6 and the Mylar sheet is usually bonded with waterproof glue to ensure that the internal cavity is not invaded by moisture or humidity, which helps to maintain the stability and reliability of the device. The pressure detection unit 2 needs to remain stable and reliable during the use of children. Therefore, the Mylar sheets 41 and 42, the supporting material 6 and other related components must have excellent durability and be able to withstand long-term use and pressure from children without losing their performance. In short, the pressure detection unit is designed and constructed to ensure its normal operation on the child safety seat, with good durability, waterproof performance and sensitivity to achieve reliable seat detection function.

Example 2

In a complete system, hardware alone is not sufficient to achieve all the required functions and optimize performance. In order to ensure that the hardware can work as expected and work in conjunction with other components, a specially designed software control method is required. The following Example 2 will focus on describing how to control and manage the aforementioned hardware components through software to ensure stable, efficient and reliable operation of the overall system.

Referring to FIG. 3 , Embodiment 2 of the present invention discloses a method for sensing seating on a child safety seat, the method comprising:

S1: Obtaining pressure sensing trigger information of a preset area on the child safety seat, wherein the preset area at least includes: a headrest area, a backrest area, and a seat surface area;

Specifically, the pressure sensing trigger information of the preset areas on the child safety seat is obtained, and the preset areas include at least: the headrest area, the backrest area and the seat area; the headrest, backrest and seat area are the most easily triggered areas in the child safety seat, because they are usually related to the child's body support and posture adjustment. When the child sits on the seat, the head usually rests on the headrest, the back is close to the backrest, and the bottom is placed on the seat. This typical sitting posture will produce obvious pressure or touch on these three areas, thereby triggering the sensing system. At the same time, when it comes to child safety seats, other items that may be placed on the seat, such as pets, books, clothes, etc., need to be considered. These items will not produce similar triggering conditions as the child's body in the headrest, backrest and seat area. For example, the size and shape of pets are different from those of children, and books or clothes usually do not produce continuous heavy pressure in the headrest and backrest areas. By monitoring the triggering conditions of the headrest, backrest and seat area, the child safety seat can more accurately identify whether the child is successfully seated. This high accuracy ensures the timeliness of the subsequent start of seat adjustment, and at the same time, avoids unnecessary waste of work resources.

In one embodiment, referring to FIG. 4 , S1 includes:

S11: obtaining the initial density of the supporting material in each of the preset areas of the child safety seat, wherein the headrest area corresponds to the first initial density of the supporting material, the backrest area corresponds to the second initial density of the supporting material, and the seat area corresponds to the third initial density of the supporting material, the first initial density is less than the second initial density, and the second initial density is less than the third initial density;

Specifically, the initial density of the supporting material in the pressure detection unit in each preset area is obtained. For example, the supporting material in the headrest area can be set to the first initial density, which is a relatively low density. Because the pressure applied by the head is usually small after the child sits down, the first initial density allows the supporting material to deform quickly when the head approaches, triggering the sensing system. Such a setting can be sensitively detected even by a slight head contact; the supporting material in the backrest area is set to the second initial density, the first initial density is less than the second initial density, and the supporting material of the second initial density can provide appropriate support when the child sits on the seat. When the child sits down and applies pressure to the backrest area, the supporting material will deform quickly to ensure that the back area is triggered. A plurality of seat detection units are set in the seat surface area, so it is composed of a plurality of supporting materials, and the average density of the plurality of supporting materials is the third initial density. At the same time, the second initial density is less than the third initial density. Since the pressure on the seat surface area is the greatest when the child sits down, and the pressure on different areas of the seat surface is affected by the child's sitting posture, setting a plurality of supporting materials can accurately trigger the seat surface area when the child sits down.

In one embodiment, referring to FIG. 5 , the S11 includes:

S111: Divide the seat surface area into a plurality of target areas, wherein the target areas at least include: a seat front area, a seat side area, and a seat rear area;

Specifically, the seat surface area is divided into multiple target areas such as the front of the seat, the sides of the seat surface, and the back of the seat surface. By dividing the seat surface into different areas, the child's sitting situation can be perceived more carefully, because different areas may be subject to pressure from different parts, such as the child's thighs and buttocks. This partitioning can more accurately capture the child's sitting status and ensure accurate triggering of the seat surface area.

S112: adjusting the density of the support material in each of the target areas to obtain a target density, wherein the target density at least includes: a first target density corresponding to the front area of the seat surface, a second target density corresponding to the two side areas of the seat surface, and a third target density corresponding to the rear area of the seat surface, the second target density is less than the first target density, and the first target density is less than the third target density;

Specifically, different body parts require different degrees of support to maintain triggering accuracy, and by providing different densities of support materials in different areas of the seat, the most appropriate triggering conditions can be provided for each part. For example, the first target density corresponds to the front of the seat, the second target density corresponds to the sides of the seat, and the third target density corresponds to the back of the seat. The second target density is smaller than the first target density, and the first target density is smaller than the third target density. When a child sits down, the pressure on the front of the seat is usually smaller than that on the sides of the seat, and the pressure on the sides of the seat is usually smaller than that on the back of the seat. This pressure distribution pattern can be explained by the child's body structure and sitting posture characteristics. Children's thighs are usually shorter and the front is relatively lighter. Therefore, when they sit in a seat, the front of the seat is usually subject to less gravity and pressure, which is partly due to the child's body shape and sitting posture. The sides of the seat are usually subject to moderate pressure because these areas bear the weight of the child's hips and waist, which is partly because the hips and waist are distributed on both sides of the seat when sitting. The back of the seat is usually subject to greater pressure because this part bears the weight of the child's torso and back. When a child sits in a seat, the torso will lean to the back of the seat, causing the back of the seat to bear additional pressure. This pressure distribution pattern reflects the natural distribution of various parts of the child's body and sitting posture characteristics when the child is seated. In order to improve the comfort and support of child safety seats, the seat design should take this pressure distribution into consideration and use different densities of support materials in the front, sides and back of the seat to ensure that each area gets the most suitable support, which helps to improve the accuracy of the child seating sensor trigger.

S113: averaging the first target density, the second target density and the third target density to obtain the third initial density.

Specifically, the first, second and third target densities are averaged to obtain a third initial density, and the target densities in different areas are combined to create an overall density setting, so that the third initial density is greater than the second initial density.

S12: adjusting the first initial density, the second initial density, and the third initial density respectively according to the preset child age and child weight until the supporting material can withstand the triggering pressure corresponding to the preset child age and child weight, wherein the triggering pressure includes a first triggering pressure, a second triggering pressure, and a third triggering pressure;

Specifically, according to the preset age and weight of the child, each initial density is adjusted so that the support material can withstand the preset pressure; for example, for infants (0-12 months), for younger infants, the density setting of the seat may need to be adjusted according to their weight. Since infants are lighter and require softer support, the support material can be set to a lower density to adapt to the light weight and delicate body of the infant; Toddlers (1-4 years old): As toddlers grow, their weight gradually increases. Therefore, at this stage, the initial density of the preset area of the seat can be moderately increased to provide firmer support. As the weight increases, the density of the support material can be gradually adjusted upward to ensure adequate support; School-age children (5-12 years old): The weight of school-age children will increase with age, so the initial density of the preset area can be further adjusted upward to meet their greater weight needs. According to the increase in the weight of school-age children, the density of the support material can be gradually adjusted upward; Teenagers (13 years old and above): For teenagers, the initial density of the seat can be set to a higher level to cope with their greater weight. Considering the weight of teenagers, the preset density of the support material can be further adjusted upward to ensure adequate support and prevent excessive sinking and discomfort. By comprehensively considering the age and weight of the child, the density of the seat is personalized to ensure that the support material can withstand the preset pressure of different weights and different age stages, further improving the triggering accuracy of the child safety seat.

S13: if the actual pressure borne by the supporting material corresponding to the headrest area after the first initial density is adjusted is greater than the first triggering pressure, it is detected that the head area is triggered;

S14: if the actual pressure on the supporting material corresponding to the backrest area after the second initial density is adjusted is greater than the second triggering pressure, it is detected that the backrest area is triggered;

S15: If the actual pressure on the supporting material corresponding to the seat surface area after the third initial density adjustment is greater than the third triggering pressure, it is detected that the seat surface area is triggered.

Specifically, the triggering of the corresponding area of the support material is to enhance the safety of children. When children sit in the seat, their weight is applied to the support material, causing pressure. Since the support material has density, a certain pressure threshold is preset. If the actual pressure exceeds this threshold, the corresponding area of the support material will be triggered to indicate that the child has sat in the seat. By setting the preset pressure and the corresponding trigger mechanism, it can be ensured that only when the child actually sits in the seat and applies enough pressure, it will be regarded as seated, which avoids false alarms or misjudgments and ensures that it will only take effect when it is confirmed that the child has sat in the seat.

S2: if it is detected that the seat surface area is triggered according to the pressure sensing trigger information, it is determined that the target to be identified is seated;

Specifically, if the seat surface area is triggered, it will be identified as a target sitting on the seat. The target may be a child or other non-child items. The triggering of the seat surface area does not only mean that a child is sitting on the seat, but it may also be that other items are mistakenly placed on the seat, such as books, pets or clothes. Therefore, not only is it necessary to detect the pressure trigger, but further analysis and judgment are also required to determine whether the object on the seat is a child or other object. This differential identification is crucial to ensure the normal operation of the child safety seat. If it is identified as a child, corresponding safety measures can be taken, such as locking or adjusting the seat to ensure the safety of the child. If it is identified as a non-child item, false triggering can be avoided to prevent unnecessary intervention or alarms.

S3: when it is determined that a target to be identified is seated, if it is detected that the backrest area is triggered and/or the headrest area is triggered, it is determined that the target to be identified is a child;

Specifically, when the target is identified as sitting, it is further checked whether the seat surface and backrest area are triggered at the same time, or whether the headrest, backrest and seat surface area are triggered at the same time. If the seat surface and backrest area are triggered at the same time, or the headrest, backrest and seat surface area are triggered at the same time, it is identified as a child sitting. This is to improve the accuracy and reliability of seating, which ensures that not only the bottom of the seat is triggered, but also the seat surface and backrest are triggered at the same time, or the headrest, backrest and seat surface areas are triggered at the same time. This situation of multiple areas being triggered at the same time is more likely to indicate that the child is actually sitting in the seat, because the child's seating state usually includes close contact between the body and the bottom and backrest of the seat. By improving the accuracy of child seating and reducing the possibility of misidentification, this helps ensure that the child safety seat will only perform related operations when it is really needed, thereby improving the credibility and safety of the entire system.

S4: When it is determined that a child is seated, the safety seat is controlled to operate.

Specifically, when a child sits down, the warm-keeping mode is automatically turned on. This is achieved by triggering the temperature sensor S2 on the seat when the child sits down. As long as the temperature Tt2 detected by the temperature sensor is between the user-defined temperatures T1 and T2, the heating plate will remain in operation to provide a suitable temperature for the child. When the child leaves the seat, the temperature of Tt2 will gradually return to the ambient temperature, and the heating will be automatically disconnected to save energy and prevent overheating. By accurately detecting the child's seat-taking sensor, after detecting that the child has successfully sat down, the child is provided with a warm and comfortable experience in the seat, and the seat temperature is ensured to remain within a safe range, thereby meeting the needs of the user while also saving energy.

Example 3

In Example 2, when the seat area is triggered, or the seat area and the backrest area are triggered at the same time, or the seat, headrest and backrest areas are triggered at the same time, it is identified as a child. However, when the seat area is triggered, or the seat area and the backrest area are triggered at the same time, or the seat, headrest and backrest areas are triggered at the same time, it does not necessarily mean that a child is sitting down. It may be that other objects have triggered these areas, such as pets, books, clothes or other heavy objects. In order to improve the accuracy of child seating sensing, further improvement is introduced by introducing temperature detection of the above-mentioned seat, headrest and backrest areas.

In one embodiment, referring to FIG. 6 , S3 includes:

S31: when it is determined that the target to be identified is seated, if it is detected that the backrest area is triggered and/or the headrest area is triggered, obtaining the real-time thermal infrared radiation intensity of each of the preset areas;

Specifically, the intensity of thermal infrared radiation refers to the intensity of infrared thermal radiation emitted by an object, which is related to the temperature of the object. In the context of a seat, when a child sits down, their body will emit infrared thermal radiation, while other objects (such as books, clothes, etc.) usually do not emit such infrared radiation. When the seat area is triggered or multiple areas are triggered at the same time, the real-time thermal infrared radiation intensity of each preset area is obtained, and the acquisition method can be achieved through an infrared pyroelectric sensor or a similar device. Real-time monitoring of the intensity of thermal infrared radiation helps the system to more accurately distinguish between children sitting down and other objects, because only children's bodies will produce high thermal infrared radiation, while other objects usually do not. The comprehensive use of pressure sensing in the seat area and the real-time thermal infrared radiation intensity of the infrared pyroelectric sensor can more reliably determine whether a child is seated. Only when the seat surface area is triggered, or the seat surface area and the backrest area are triggered at the same time, or the seat surface, headrest and backrest areas are triggered at the same time, and the thermal infrared radiation intensity matches, will it be confirmed that the child is seated. This multiple sensing and verification method improves the accuracy of seat sensing, reduces the risk of false triggering, and ensures the normal operation of the seat system.

S32: Calculating the real-time temperature value of each of the preset areas according to the real-time thermal infrared radiation intensity;

Specifically, the real-time temperature value of each of the preset areas is calculated according to the Stefan-Boltzmann formula, which is a basic physical law for calculating the radiant heat energy of an object, and the formula is as follows:

I＝εσT^4

In this formula, I represents the real-time thermal infrared radiation intensity value, ε is the emissivity, σ is the Stefan-Boltzmann constant, and T represents the real-time temperature value. The Stefan-Boltzmann formula is based on the radiation principle of an object. It shows the close relationship between the radiation intensity of an object and its temperature. By measuring the thermal infrared radiation intensity radiated by an object, the temperature of the object can be inferred. The thermal infrared radiator is used to detect the thermal infrared radiation intensity of the seat surface, headrest and backrest area. Since the thermal infrared radiator is a non-contact sensor, it can measure the infrared radiation radiated by an object without directly contacting the surface of the object. This is very advantageous for children's seat sensing. The use of thermal infrared radiators can avoid physical contact or interference while ensuring the accuracy of the measurement. Directly using a temperature detector to measure the temperature of the above-mentioned area requires physical contact with the surface of the object, which is not convenient for children. In addition, the temperature detector can usually only measure the temperature of the surface of the object it is in direct contact with, and cannot accurately measure the temperature of the above-mentioned area because children in the above-mentioned area are usually covered by objects (such as cloth covers). In summary, using thermal infrared emitters to calculate temperature values is a non-invasive and highly accurate method. This method is based on the radiation principle of objects. By measuring the intensity of thermal infrared radiation, the real-time temperature value of each preset area can be effectively obtained, thereby providing reliable temperature information for the child seating sensing system.

S33: Determine whether the real-time temperature value matches a preset target temperature, and if so, determine that the target to be identified is a child.

Specifically, big data analysis can provide general data about the temperature of the seat surface, backrest and headrest area after the child is seated. This data can be used to establish a target temperature range, and the real-time temperature value is compared with the target temperature range preset by big data. If the real-time temperature value obtained is within these ranges, it is considered to match and the child is identified as being seated.

In one embodiment, referring to FIG. 7 , the S33 includes:

S331: Obtaining target temperature intervals corresponding to the preset areas, wherein the target temperature intervals at least include: a first temperature interval corresponding to the seat area, a second temperature interval corresponding to the backrest area, and a third temperature interval corresponding to the headrest area;

S332: Acquire a real-time average temperature value, wherein the real-time average temperature value includes at least one of the following temperature average values: a first real-time average temperature value corresponding to the seat surface area, a second real-time average temperature value corresponding to the backrest area, and a third real-time average temperature value corresponding to the headrest area;

Specifically, since the sitting posture of children after sitting down may vary due to individual differences, for example, a forward leaning sitting posture will cause the headrest area and/or the backrest area to be not in contact, therefore, the real-time temperature average is obtained in the headrest, seat and backrest areas, and the real-time temperature average includes at least one of the following temperature averages: a first real-time temperature average corresponding to the seat area, a second real-time temperature average corresponding to the backrest area and a third real-time temperature average corresponding to the headrest area.

In one embodiment, referring to FIG. 8 , the S332 includes:

S3321: Obtain a preset first time interval;

Specifically, a preset first time interval is obtained so as to obtain the temperature data of the seat surface, headrest and backrest area during this time period, and the selection of the first time interval may depend on the response speed and performance requirements of the seat system. For example, the time interval may be set to obtain temperature data every 5 seconds.

S3322: Acquire a set of real-time temperature values corresponding to each preset area within the first time interval according to the first time interval;

Specifically, a set of real-time temperature values of each preset area on the seat is obtained in each time interval. For example, in the first time interval, a set of temperature values of the seat surface area, the backrest area and the headrest area are obtained: the temperature value set of the seat surface area is [30°C, 31°C, 29°C], the temperature value set of the backrest area is [28°C, 27°C, 26°C], and the temperature value set of the headrest area is [32°C, 33°C, 31°C].

S3323: Perform averaging processing on the real-time temperature value set and output the real-time temperature mean.

Specifically, the real-time temperature value set of each preset area is averaged to calculate the real-time temperature mean, which reflects the overall temperature conditions of different areas on the seat. For example, the real-time temperature mean of the seat surface area = (30°C + 31°C + 29°C)/3 = 30°C; the real-time temperature mean of the backrest area = (28°C + 27°C + 26°C)/3 = 27°C; the real-time temperature mean of the headrest area = (32°C + 33°C + 31°C)/3 = 32°C. By obtaining the real-time temperature mean of each area, the temperature state of the seat can be more comprehensively understood, and the mean is used to determine whether a child is seated and whether the seat reaches the preset target temperature range.

S333: If the first temperature mean is within the first temperature range, and/or the second temperature mean is within the second temperature range, and/or the third temperature mean is within the third temperature range, it is determined that the target to be identified is a child.

Specifically, if the first temperature mean is within the first temperature interval: assuming that the first temperature interval is [28°C, 32°C], and the real-time temperature mean of the seat area is 30°C. Since 30°C is within this interval, it is recognized as a child sitting down; the second temperature mean is within the second temperature interval: assuming that the second temperature interval is [25°C, 29°C], and the real-time temperature mean of the backrest area is 27°C. Since 27°C is within this interval, it is recognized as a child sitting down; the third temperature mean is within the third temperature interval: assuming that the third temperature interval is [29°C, 35°C], and the real-time temperature mean of the headrest area is 32°C. Since 32°C is within this interval, it is recognized as a child sitting down. The temperature mean values of multiple areas are within their respective intervals: assuming that the real-time temperature mean of the seat area is 30°C, the real-time temperature mean of the backrest area is 27°C, and the real-time temperature mean of the headrest area is 32°C. In this case, the temperature averages of all three areas are within their respective ranges, and it is also identified as a child sitting down; therefore, at least one real-time temperature average is obtained. If at least one real-time temperature average of the above three areas is within the corresponding temperature range, it is determined that a child is sitting down. This method further improves the accuracy of child seating detection.

Example 4

In Example 3, when the seat area is triggered, or the seat area and the backrest area are triggered at the same time, or the seat, headrest and backrest areas are triggered at the same time, temperature detection of each area is further introduced to identify when a child is seated. However, nowadays more and more people choose to keep pets, and pets play an important role in the family. Considering this trend, some people may begin to consider the safety of pets, including their safety in vehicles. Therefore, pets may also appear in safety seats. The body temperatures of pets and children are usually similar, especially at a certain ambient temperature, their body temperature ranges may overlap. For this reason, breathing frequency detection is introduced to further distinguish between children and pets, thereby improving the accuracy of child seat detection.

In one embodiment, referring to FIG. 9 , the S333 includes:

S3331: If the first temperature average is within the first temperature interval, and/or the second temperature average is within the second temperature interval, and/or the third temperature average is within the third temperature interval, then obtain a preset second time interval;

Specifically, if the first temperature average is within the first temperature range, and/or the second temperature average is within the second temperature range, and/or the third temperature average is within the third temperature range, then it is identified that a child is seated, and the preset second time interval is 1 minute; if the first, second and third temperature averages are not within the corresponding temperature ranges, then the child is not seated, and the second time interval is not obtained.

S3332: Counting the original data of seat belt extension and retraction in the second time interval according to the second time interval;

Specifically, during the second time interval, the system will record the extension and retraction of the seat belt. These raw data may include the number of times the seat belt is stretched and retracted, as well as the time interval between stretching and retraction. These data will be used to subsequently calculate the real-time respiratory rate. Children and pets are usually active, which may cause some errors or noise, making the recording of the extension and retraction times not always accurate. For example, a child may move in the seat, causing the seat belt to slightly expand and contract, which does not necessarily reflect actual breathing activity.

S3333: Calculating the real-time breathing frequency of the seated target according to the original data and the second time interval;

Specifically, in order to reduce the impact of errors and noise, some processing methods, such as filtering techniques or data smoothing algorithms, are used to help remove instability caused by the movements of children and pets and improve the stability and accuracy of the data. In addition, the system can set thresholds or filtering rules to exclude expansion and contraction changes that do not represent breathing, which helps to reduce the impact of errors. Using statistical expansion and contraction raw data, the real-time breathing frequency of the seated target is calculated, which usually involves analyzing the stretching and contraction patterns of the seat belt to determine the occurrence of breathing activities.

S3334: When the real-time respiratory frequency is within a preset children's respiratory frequency range, it is determined that the target to be identified is a child.

Specifically, the real-time respiratory rate is obtained and calculated, and the real-time respiratory rate is compared with the normal respiratory rate of the child. The preset child respiratory rate interval is usually determined based on factors such as the child's age and physiological characteristics. For example, the respiratory rates of infants, toddlers and adolescents may be different, so the interval will be adjusted accordingly. If the real-time respiratory rate falls within the preset child respiratory rate interval, it will be confirmed that the child is seated, which means that the child is sitting on the seat, not other objects or pets. Example: Assuming that the preset child respiratory rate interval is 20 to 30 times per minute, which is suitable for children aged 3 to 5 years old, the system calculates that the real-time respiratory rate on the seat is 25 times per minute. Since the real-time respiratory rate is within the preset interval, the system will confirm that the child is seated. The purpose of this step is to match the physiological characteristics (respiratory rate) with the preset child standards to improve the accuracy of child seating. Only when the real-time respiratory rate matches the child's respiratory rate will the system confirm that the child is seated, thereby increasing the credibility of seat detection.

In one embodiment, referring to FIG. 10 , the S333 includes:

S33331: Filter the original data and output the filtered initial data;

Specifically, the raw data (recording of seat belt extension and retraction) may contain motion and interference from children and pets. In order to reduce the impact of these interferences, the system uses filtering technology to process the data. Filtering usually involves applying digital signal processing algorithms to remove high-frequency or low-frequency noise components to make the data smoother and more stable. Common filtering methods include mean filtering, median filtering, low-pass filtering, etc. The filtered initial data will be used in subsequent processing steps to improve the reliability and accuracy of the data.

S33332: Input the initial data into a pre-trained machine learning model for secondary correction, and output the corrected target data, wherein the target data includes at least: the number of seat belt extensions and the number of seat belt contractions, and the machine learning model is constructed based on at least one of the following algorithms: support vector machine, random forest and deep learning model.

Specifically, the filtered initial data is input into a pre-trained machine learning model for further processing and correction. The task of the machine learning model is to further reduce the error and more accurately calculate the number of seat belt extensions and contractions. These target data are used to calculate the real-time respiratory rate. The machine learning model can be constructed based on different algorithms, including support vector machines, random forests, and deep learning models. For example, if a support vector machine (SVM) is used, first, the filtered initial data is provided as input features to the SVM model. These features may include time series data or sensor measurements. Using historical data sets, the SVM model learns the relationship between the seat belt extension and contraction pattern and the actual respiratory activity. This can be done through supervised learning, where the historical data contains the known number of seat belt extensions and contractions and the corresponding actual respiratory rate. Once the model training is completed, it can be used to correct the real-time data. The model maps the input seat belt extension and contraction pattern to a more accurate number of seat belt extensions and contractions. These corrected target data will be used to calculate the real-time respiratory rate. If a random forest is used, similarly, the filtered initial data is provided as input features to the random forest model. Using historical data sets, the random forest model constructs multiple decision trees, each of which learns the relationship between the seat belt extension and retraction pattern and actual breathing activity. The random forest model determines the final correction result by voting or averaging. When real-time data is input to the model, each decision tree generates corrected target data for the input data. The final result is obtained by voting or averaging all trees. Deep learning models can also be used to input the filtered initial data into the input layer of the deep learning model. Deep learning models usually consist of multiple neural network layers and are trained by back propagation algorithms. The model automatically learns feature representations and maps the seat belt extension and retraction pattern to the corrected target data to reduce errors. Once the deep learning model is trained, it can be used to correct real-time data. The model passes the input data to each neural network layer and generates corrected target data, which will be used to calculate the real-time respiratory rate. The above algorithm is trained based on historical data to understand the relationship between the seat belt extension and retraction pattern and the actual respiratory activity. The output corrected target data includes the number of extensions and contractions of the seat belt, which will be used to calculate the real-time respiratory rate. Through filtering processing and correction of machine learning models, the system can improve the accuracy of seat belt extension and retraction events, thereby more reliably calculating real-time breathing rate and further improving the accuracy of seat occupancy detection.

In summary, the embodiments of the present invention provide a method and system for sensing seating on a child safety seat.

It should be clear that the present invention is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present invention.

The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present invention are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

It should also be noted that the exemplary embodiments mentioned in the present invention describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or in a different order from the embodiments, or several steps can be performed simultaneously.

The above is only a specific implementation of the present invention. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be covered within the protection scope of the present invention.

Claims (8)

1. A method for sensing seating on a child safety seat, characterized in that the method comprises: S1: Obtaining pressure sensing trigger information of a preset area on the child safety seat, wherein the preset area at least includes: a headrest area, a backrest area, and a seat surface area; S2: if it is detected that the seat surface area is triggered according to the pressure sensing trigger information, it is determined that the target to be identified is seated; S3: when it is determined that a target to be identified is seated, if it is detected that the backrest area is triggered and/or the headrest area is triggered, it is determined that the target to be identified is a child; S4: When it is determined that a child is seated, controlling the safety seat to operate; The S1 includes: S11: obtaining the initial density of the supporting material in each of the preset areas of the child safety seat, wherein the headrest area corresponds to the first initial density of the supporting material, the backrest area corresponds to the second initial density of the supporting material, and the seat area corresponds to the third initial density of the supporting material, the first initial density is less than the second initial density, and the second initial density is less than the third initial density; S12: adjusting the first initial density, the second initial density, and the third initial density respectively according to the preset child age and child weight until the supporting material can withstand the triggering pressure corresponding to the preset child age and child weight, wherein the triggering pressure includes a first triggering pressure, a second triggering pressure, and a third triggering pressure; S13: if the actual pressure on the supporting material corresponding to the headrest area after the first initial density is adjusted is greater than the first triggering pressure, it is detected that the headrest area is triggered; S14: if the actual pressure on the supporting material corresponding to the backrest area after the second initial density is adjusted is greater than the second triggering pressure, it is detected that the backrest area is triggered; S15: if the actual pressure on the supporting material corresponding to the seat surface area after the third initial density adjustment is greater than the third triggering pressure, it is detected that the seat surface area is triggered; The S11 includes: S111: Divide the seat surface area into a plurality of target areas, wherein the target areas at least include: a seat front area, a seat side area, and a seat rear area; S112: adjusting the density of the support material in each of the target areas to obtain a target density, wherein the target density at least includes: a first target density corresponding to the front area of the seat surface, a second target density corresponding to the two side areas of the seat surface, and a third target density corresponding to the rear area of the seat surface, the second target density is less than the first target density, and the first target density is less than the third target density; S113: averaging the first target density, the second target density and the third target density to obtain the third initial density. 2. The method for sensing the seating position of a child safety seat according to claim 1, wherein S3 comprises: S31: when it is determined that the target to be identified is seated, if it is detected that the backrest area is triggered and/or the headrest area is triggered, obtaining the real-time thermal infrared radiation intensity of each of the preset areas; S32: Calculating the real-time temperature value of each of the preset areas according to the real-time thermal infrared radiation intensity; S33: Determine whether the real-time temperature value matches a preset target temperature, and if so, determine that the target to be identified is a child. 3. The method for sensing the seating position of a child safety seat according to claim 2, wherein S33 comprises: S331: Acquire a first temperature interval corresponding to the seat surface area, a second temperature interval corresponding to the backrest area, and a third temperature interval corresponding to the headrest area; S332: Obtaining a first real-time average temperature corresponding to the seat surface area, a second real-time average temperature corresponding to the backrest area, and a third real-time average temperature corresponding to the headrest area; S333: If the first real-time temperature average is within the first temperature range, and/or the second real-time temperature average is within the second temperature range, and/or the third real-time temperature average is within the third temperature range, it is determined that the target to be identified is a child. 4. The method for sensing the seating position of a child safety seat according to claim 3, wherein S332 comprises: S3321: Obtain a preset first time interval; S3322: Acquire a set of real-time temperature values corresponding to each preset area within the first time interval according to the first time interval; S3323: Perform averaging processing on the real-time temperature value set and output the real-time temperature mean. 5. The method for sensing the seating position of a child safety seat according to claim 4, wherein S333 comprises: S3331: If the first real-time temperature average value is within the first temperature interval, and/or the second real-time temperature average value is within the second temperature interval, and/or the third real-time temperature average value is within the third temperature interval, then obtain a preset second time interval; S3332: Counting the original data of seat belt extension and retraction in the second time interval according to the second time interval; S3333: Calculating the real-time breathing frequency of the seated target according to the original data and the second time interval; S3334: When the real-time respiratory frequency is within a preset children's respiratory frequency range, it is determined that the target to be identified is a child. 6. The method for sensing the seating position of a child safety seat according to claim 5, wherein S3333 comprises: S33331: Filter the original data and output the filtered initial data; S33332: Input the initial data into a pre-trained machine learning model for secondary correction, and output the corrected target data, wherein the target data includes at least: the number of seat belt extensions and the number of seat belt contractions, and the machine learning model is constructed based on at least one of the following algorithms: support vector machine, random forest and deep learning model. 7. A seating sensing system for a child safety seat, the system comprising: a seat body, a pressure detection unit, a controller and an infrared pyroelectric sensor, the seat body being detachably disposed in a vehicle for a child to sit on; the pressure detection unit being disposed in the headrest area, backrest area and seat surface area of the seat, for bearing pressure and transmitting a trigger signal to the controller; the infrared pyroelectric sensor being disposed in the headrest area, backrest area and seat surface area of the seat, for collecting real-time thermal infrared radiation intensity and transmitting the collected data to the controller; the controller being used to implement the seating sensing method for a child safety seat as described in any one of claims 1 to 6. 8. The seating sensing system for a child safety seat according to claim 7, characterized in that the pressure detection unit comprises: a first Mylar sheet, a supporting material and a second Mylar sheet, wherein the first Mylar sheet and the second Mylar sheet are respectively affixed with conductive tin foil.