Intelligent life buoy comprehensive management control system based on big data

Abstract

The invention discloses an intelligent life buoy comprehensive management control system based on big data, which comprises a data collection module, a data analysis module and a management control module, and is characterized in that the data collection module is suitable for collecting and preliminarily analyzing related data during swimming of a user in a swimming pool scene; the data analysis module is used for analyzing the related data, collected by the data collection module, of the user in the swimming period and judging whether the user drowning suspicion exists or not, and the data collection module is electrically connected with the data analysis module; the management control module is used for monitoring the specific condition of each area of the swimming pool in real time, controlling and starting the intelligent life buoy to inflate, and quickly giving an early warning response to a worker in the swimming pool, the management control module is electrically connected with the data analysis module, and the system has the advantages of being accurate in judgment and efficient in rescue.

Description

Technical Field

[0001] The present invention relates to the field of intelligent rescue technology, and in particular to an intelligent lifebuoy comprehensive management and control system based on big data. Background Art

[0002] With the increasing number of water activities, drowning accidents occur frequently. Although traditional smart lifebuoys provide rescue means to a certain extent, they have many shortcomings. Although the smart lifebuoys currently on the market use some advanced technologies, such as GPS positioning, automatic inflation, remote control operation, etc., there are still some technical difficulties and usage restrictions.

[0003] Existing smart lifebuoys are usually equipped with automatic inflation mechanisms, which are originally designed to quickly provide buoyancy support for swimmers in the event of drowning. However, this design can cause some problems during swimming, mainly manifested as: when swimmers dive or dive, the automatic inflation mechanism of the smart lifebuoy will be accidentally triggered. This will not only interfere with swimmers, but also cause them unnecessary panic. At the same time, after the existing smart lifebuoy triggers the automatic inflation mechanism to provide emergency rescue to users, it is unable to notify the swimming pool staff in a timely manner, and it is unable to give the staff the precise location, which may cause the user to be unable to leave the drowning area on their own due to physical overdraft, and to be unable to receive external rescue for a long time, causing the risk of secondary drowning.

[0004] Therefore, it is necessary to design an intelligent lifebuoy comprehensive management and control system based on big data for accurate judgment and efficient rescue. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent lifebuoy comprehensive management and control system based on big data to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a comprehensive management and control system of an intelligent life buoy based on big data, comprising a data collection module, a data analysis module, and a management and control module, wherein the data collection module is suitable for collecting and preliminarily analyzing relevant data of a user during swimming in a swimming pool scenario; the data analysis module is used to analyze the relevant data of the user during swimming collected by the data collection module and determine whether there is a suspicion of drowning of the user, and the data collection module is electrically connected to the data analysis module; the management and control module is used to monitor the specific conditions of each area of ​​the swimming pool in real time, control the start-up of the intelligent life buoy for inflation, and quickly warn and respond to the swimming pool staff, and the management and control module is electrically connected to the data analysis module.

[0007] According to the above technical solution, the data collection module includes a user registration information collection module, a water immersion data collection module, a vital signs data collection module, a water pressure data collection module, and a location data collection module; the user registration information collection module is used to collect the user's personal basic information and swimming proficiency data; the water immersion data collection module is used to collect the user's water immersion data during swimming; the vital signs data collection module is used to collect the user's heart rate change data when swimming or diving; the water pressure data collection module is used to collect the user's water pressure change data during swimming; the location data collection module is used to collect the location data of the smart lifebuoy and the person who fell into the water.

[0008] According to the above technical solution, the water immersion data collection module includes a water immersion sensor and a timing unit 1, wherein the water immersion sensor is used to detect whether the smart lifebuoy is in contact with water, and the timing unit 1 performs timing according to the trigger signal; the vital sign data collection module includes a heart rate sensor and a timing unit 2, wherein the heart rate sensor is used to monitor the user's heart rate changes, and the timing unit 2 performs timing according to the trigger signal; the water pressure data collection module includes a water pressure sensor and a timing unit 3, wherein the water pressure sensor is used to monitor the changes in water pressure on the user's body, and the timing unit 3 performs timing according to the trigger signal.

[0009] According to the above technical solution, the location data collection module includes an area division submodule, an RFID reader and a camera submodule. The area division submodule is used to divide the water area into multiple small areas; the RFID reader is used to establish location information transmission with the smart life buoy within the area, and the camera submodule is used to capture real-time images of users drowning in the area.

[0010] According to the above technical solution, the data analysis module includes a data integration module, a data combination analysis module and a drowning determination module. The data integration module is used to merge data from different sensors into a unified data set; the data combination analysis module is used to convert the data set integrated by the data integration module into an intuitive chart, combining different parameters to provide data support for drowning determination; the drowning determination module is used to use the analysis results provided by the data combination analysis module to determine whether the user is drowning.

[0011] According to the above technical solution, the data integration module includes a data receiving submodule and a data processing submodule. The data receiving submodule is used to receive the data set organized by the data integration module; the data processing submodule is used to analyze the impact of water pressure data on drowning judgment.

[0012] According to the above technical solution, the management and control module includes a status monitoring and alarm module and an automatic inflation module. The status monitoring and alarm module is used to view the real-time images captured by the camera module, detect abnormal conditions, and trigger an alarm when necessary. The status monitoring and alarm module is electrically connected to the position data collection module; the automatic inflation module is used to inflate the smart lifebuoy.

[0013] According to the above technical solution, the intelligent lifebuoy integrated management and control system comprises the following steps:

[0014] The user wears a smart lifebuoy and enters the swimming pool to start swimming;

[0015] Step S1: In response to the smart lifebuoy start signal, the data collection module collects the user's immersion data, heart rate data, heart rate change time, water pressure data, location data, and real-time images during swimming;

[0016] Step S2: Retrieve the system registration information of the current user and capture the user's swimming proficiency registration level D i , where i = 1, 2, ..., n, according to the current user's swimming proficiency level D i Match the corresponding drowning judgment standard in the system preset database; receive the immersion data in real time, and when the water immersion sensor continues to trigger the sensing timing J t ≥B i , or when real-time acquisition of the number of consecutive trigger sensing signals J s ≥C i , then it is judged that the current user may be drowning, and the judgment signal triggering time t is output k , the system controls the data analysis module to start and further analyze the user data; the drowning judgment standard is that the water immersion sensor continuously triggers the sensing signal for B i seconds or the water sensor triggers the sensing signal continuously C i Above, where i = 1, 2, ..., n, and the standard for continuous triggering is that the time interval between the previous and the next trigger is less than t l Second;

[0017] Step S3: Get user t k - Heart rate value Y at 10 seconds l , where t k -10 is in seconds. l ≤Y0, where Y0 is the standard heart rate value of the user in normal state, obtain the user's t k Heart rate value Y at the moment z , where t k The unit is seconds, using the formula Calculate the heart rate rising slope value K x ;

[0018] When K x When ≤K0, where K0 is the normal heart rate change threshold, it is determined that the user is not in a drowning state;

[0019] When K x >K0, the user is judged to be in a drowning state;

[0020] Step S4: using the location data collection module to collect the user's precise location;

[0021] Step S5: When Y l >Y0, a water pressure drawing chart is established, and the data processing module selects the water pressure chart intervals in the chart that are in the rising interval segment, classifies each chart interval, and calculates the value fluctuation;

[0022] Step S6: Comprehensively analyze and judge the results. When a drowning state exists, the drowning judgment module outputs an electrical signal to the management and control module, the automatic inflation module immediately triggers the inflation device of the smart life buoy, and the status monitoring alarm module sends an emergency alarm message to the lifeguard and checks the user's drowning status in real time. The alarm information includes the user's precise location in a small area and the user's drowning risk data. After receiving the alarm message, the lifeguard quickly rushes to the user's drowning location for rescue.

[0023] According to the above technical solution, step S4 further includes the following steps:

[0024] Step S41: Divide the swimming pool into several groups of small areas. An RFID reader is deployed at the bottom of each group of small areas to capture the signal sent by the RFID tag in the area. When it is determined that the user is in a drowning state, the RFID reader in each area tracks the signal address of the RFID tag bundled with the smart lifebuoy of the user in the drowning state. After the RFID reader at the bottom of the area where the user is located responds to the tracking signal, it sends an identification reminder to the system, so that the staff can quickly get the user's area according to the identification reminder, thereby obtaining the precise location of the user in the drowning state, and synchronously calling the enlarged monitoring picture of the area where the RFID reader that responds to the tracking signal is located.

[0025] According to the above technical solution, step S5 further includes the following steps:

[0026] Step S51: The water pressure value F corresponding to the timing time of the timing unit 3 is taken as the horizontal axis. y Establish a plane rectangular coordinate system for the vertical axis, draw data points on the plane rectangular coordinate system every 1 second interval, connect all the drawn points in sequence to form a plane rectangular coordinate line graph; the data processing module sets the minimum number of consecutive time points N b , continuous N b The water pressure value F at a time point yIncrease F(t1) successively <F(t2)<F(t3)<...<F(t p ), where F(t p ) represents the time t p Corresponding water pressure value, then judge from t1 to t p This period of time is the rising interval; according to the time length S of the rising interval d For classification, S d =0, 1, 2, ..., n, the small time rise interval is: the rise time length is 0-5 seconds, the medium time rise interval is: the rise time length is 5-10 seconds, and the long time rise interval is: the rise time length is more than 10 seconds; there are n rise intervals in this classification, and the water pressure values ​​F corresponding to the front and rear endpoints of all the rise intervals in the classification are collected qi 、F hi , and the t corresponding to the front and rear endpoints qi ,t hi , using the formula Calculate the rising slope value K of the target interval i , and then by the formula Calculate the average slope of all rising intervals in the same category The calculation formula for the numerical fluctuation is:

[0027]

[0028] When S 2 When ≤S0, where S0 is the normal value fluctuation threshold, it is determined that the user is not in a drowning state;

[0029] When S 2 >S0, it is determined that the user is in a drowning state.

[0030] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by providing a data collection module, a data analysis module and a management control module, matches the corresponding drowning judgment standard in the system preset database according to the user's swimming proficiency level, and improves the accuracy of drowning judgment by calculating the heart rate rising slope value and the numerical fluctuation; the inflation device of the smart life buoy is quickly triggered according to the judgment result, and an alarm message is sent to the lifeguard, thereby achieving the effect of accurate judgment and efficient rescue. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0032] In the attached picture:

[0033] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] See also Figure 1 The present invention provides a technical solution: a comprehensive management and control system of an intelligent life buoy based on big data, comprising a data collection module, a data analysis module, and a management and control module. The data collection module is suitable for collecting and preliminarily analyzing relevant data of a user during swimming in a swimming pool scenario; the data analysis module is used to analyze the relevant data of the user during swimming collected by the data collection module and determine whether there is a suspicion of drowning of the user, and the data collection module is electrically connected to the data analysis module; the management and control module is used to monitor the specific conditions of each area of ​​the swimming pool in real time, control the start-up of the intelligent life buoy to inflate, and quickly warn and respond to the swimming pool staff, and the management and control module is electrically connected to the data analysis module.

[0036] By setting up a data collection module, a data analysis module and a management control module, the corresponding drowning judgment standard is matched in the system preset database according to the user's swimming proficiency level, and the accuracy of drowning judgment is improved by calculating the heart rate rising slope value and numerical fluctuation. The inflation device of the smart life buoy is quickly triggered according to the judgment result, and an alarm message is sent to the lifeguard, achieving the role of accurate judgment and efficient rescue.

[0037] The data collection module includes a user registration information collection module, a water immersion data collection module, a vital signs data collection module, a water pressure data collection module, and a location data collection module; the user registration information collection module is used to collect the user's personal basic information and swimming proficiency data; the water immersion data collection module is used to collect the user's water immersion data during swimming; the vital signs data collection module is used to collect the user's heart rate change data when swimming or diving; the water pressure data collection module is used to collect the user's water pressure change data during swimming; the location data collection module is used to collect the location data of the smart lifebuoy and the person who fell into the water.

[0038] By setting up a user registration information collection module, a water immersion data collection module, a vital signs data collection module, a water pressure data collection module, and a location data collection module, based on collecting the user's basic information and swimming proficiency, and by collecting indicators such as the continuous trigger time and number of continuous trigger signals of the water immersion sensor, heart rate data, heart rate change time, water pressure data, and location data, comprehensive monitoring of the user during swimming is achieved, providing a solid data foundation for accurately judging whether the user is drowning.

[0039] The water immersion data collection module includes a water immersion sensor and a timing unit 1. The water immersion sensor is used to detect whether the smart lifebuoy is in contact with water, and the timing unit 1 counts according to the trigger signal; the vital sign data collection module includes a heart rate sensor and a timing unit 2. The heart rate sensor is used to monitor the user's heart rate changes, and the timing unit 2 counts according to the trigger signal; the water pressure data collection module includes a water pressure sensor and a timing unit 3. The water pressure sensor is used to monitor the changes in water pressure on the user's body, and the timing unit 3 counts according to the trigger signal.

[0040] The location data collection module includes an area division submodule, an RFID reader and a camera submodule. The area division submodule is used to divide the water area into multiple small areas; the RFID reader is used to establish location information transmission with the smart lifebuoy within the area, and the camera submodule is used to capture real-time images of users drowning in the area.

[0041] By setting up an area division submodule, an RFID reader and a camera submodule, the swimming pool can be finely divided into different areas, the smart lifebuoy can be quickly and accurately identified and tracked, and it can be linked with the system to transmit real-time images, thus realizing fine positioning and management of the swimming pool area.

[0042] The data analysis module includes a data integration module, a data combination analysis module and a drowning determination module. The data integration module is used to merge data from different sensors into a unified data set; the data combination analysis module is used to convert the data set integrated by the data integration module into an intuitive chart, combining different parameters to provide data support for drowning determination; the drowning determination module is used to use the analysis results provided by the data combination analysis module to determine whether the user is drowning.

[0043] The data integration module includes a data receiving submodule and a data processing submodule. The data receiving submodule is used to receive the data set organized by the data integration module; the data processing submodule is used to analyze the impact of water pressure data on drowning judgment.

[0044] The management and control module includes a status monitoring and alarm module and an automatic inflation module. The status monitoring and alarm module is used to view the real-time images captured by the camera module, detect abnormal conditions, and trigger an alarm when necessary. The status monitoring and alarm module is electrically connected to the position data collection module; the automatic inflation module is used to inflate the smart life buoy.

[0045] The intelligent lifebuoy integrated management and control system includes the following steps:

[0046] The user wears a smart lifebuoy and enters the swimming pool to start swimming;

[0047] Step S1: In response to the smart lifebuoy start signal, the data collection module collects the user's immersion data, heart rate data, heart rate change time, water pressure data, location data, and real-time images during swimming;

[0048] Step S2: Retrieve the system registration information of the current user and capture the user's swimming proficiency registration level D i , where i = 1, 2, ..., n, according to the current user's swimming proficiency level D i Match the corresponding drowning judgment standard in the system preset database; receive the immersion data in real time, and when the water immersion sensor continues to trigger the sensing timing J t ≥B i , or when real-time acquisition of the number of consecutive trigger sensing signals J s ≥C i , then it is judged that the current user may be drowning, and the judgment signal triggering time t is output k , the system controls the data analysis module to start and further analyze the user data; the drowning judgment standard is that the water immersion sensor continuously triggers the sensing signal for B i seconds or the water sensor triggers the sensing signal continuously C i Above, where i = 1, 2, ..., n, and the standard for continuous triggering is that the time interval between the previous and the next trigger is less than t l Second.

[0049] People with different swimming proficiency levels have different performances in the water and the possibility of facing drowning risks. By capturing the user's swimming proficiency level registration and matching it with the corresponding drowning judgment standard; beginners may be more likely to drown, so the corresponding drowning judgment standard is relatively loose, while experienced swimmers require more obvious abnormal signals to be judged as likely to drown. Combined with the continuous trigger time and the number of consecutive triggers, it is preliminarily judged whether the user is likely to drown and reduce the possibility of false triggering.

[0050] Step S3: Get user t k - Heart rate value Y at 10 seconds l , where t k -10 is in seconds. l≤Y0, where Y0 is the standard heart rate value of the user in normal state, obtain the user's t k Heart rate value Y at the moment z , where t k The unit is seconds, using the formula Calculate the heart rate rising slope value K x ;

[0051] When K x When ≤K0, where K0 is the normal heart rate change threshold, it is determined that the user is not in a drowning state;

[0052] When K x >K0, the user is judged to be in a drowning state.

[0053] Calculating the heart rate rising slope value can more sensitively capture the changing trend of the heart rate, because in the case of drowning danger, the heart rate of a person often changes abnormally. This multi-step judgment method can more accurately determine whether the user is in a drowning state and reduce the possibility of misjudgment. Different people have different heart rates in normal states. Setting a standard heart rate value Y0 in normal states can make personalized judgments based on the specific situation of each user. At the same time, the normal heart rate change threshold can also be adjusted according to different users, making the judgment more flexible and accurate.

[0054] Step S4: using the location data collection module to collect the user's precise location;

[0055] Step S5: When Y l >Y0, a water pressure drawing chart is established, and the data processing module selects the water pressure chart intervals in the chart that are in the rising interval segment, classifies each chart interval, and calculates the value fluctuation;

[0056] Step S6: Comprehensively analyze and judge the results. When a drowning state exists, the drowning judgment module outputs an electrical signal to the management and control module, the automatic inflation module immediately triggers the inflation device of the smart life buoy, and the status monitoring alarm module sends an emergency alarm message to the lifeguard and checks the user's drowning status in real time. The alarm information includes the user's precise location in a small area and the user's drowning risk data. After receiving the alarm message, the lifeguard quickly rushes to the user's drowning location for rescue.

[0057] By discussing the changes in heart rate and water pressure separately, we can avoid the slow output of analysis results due to full computing power. Analyzing the two situations together not only ensures that the mechanism for triggering the inflation time is more rigorous and accurate, but also reduces the system computing power, improves timeliness, and avoids delays in later rescue, which may cause secondary injuries to users.

[0058] Step S4 further comprises the following steps:

[0059] Step S41: Divide the swimming pool into several groups of small areas. An RFID reader is deployed at the bottom of each group of small areas to capture the signal sent by the RFID tag in the area. When it is determined that the user is in a drowning state, the RFID reader in each area tracks the signal address of the RFID tag bundled with the smart lifebuoy of the user in the drowning state. After the RFID reader at the bottom of the area where the user is located responds to the tracking signal, it sends an identification reminder to the system, so that the staff can quickly get the user's area according to the identification reminder, thereby obtaining the precise location of the user in the drowning state, and synchronously calling the enlarged monitoring picture of the area where the RFID reader that responds to the tracking signal is located.

[0060] In a swimming pool, once a user is in a drowning state, his or her precise location needs to be determined as soon as possible in order to implement rescue. GPS positioning alone cannot accurately locate the user's specific location. By dividing the swimming pool into several small areas and deploying RFID readers at the bottom of each area, the RFID tag signal address on the user's smart lifebuoy can be quickly tracked when the user is judged to be in a drowning state. At the same time, the enlarged monitoring screen of the area where the RFID reader that responds to the tracking signal is located can be retrieved, and the location of the drowning person can be determined in a short time and detailed information can be provided, allowing rescue personnel to act quickly.

[0061] Step S5 further comprises the following steps:

[0062] Step S51: The water pressure value F corresponding to the timing time of the timing unit 3 is taken as the horizontal axis. y Establish a plane rectangular coordinate system for the vertical axis, draw data points on the plane rectangular coordinate system every 1 second interval, connect all the drawn points in sequence to form a plane rectangular coordinate line graph; the data processing module sets the minimum number of consecutive time points N b , continuous N b The water pressure value F at a time point y Increase F(t1) successively <F(t2)<F(t3)<...<F(t p ), where F(t p ) represents the time t p Corresponding water pressure value, then judge from t1 to t p This period of time is the rising interval; according to the time length S of the rising interval d For classification, S d =0, 1, 2, ..., n, the small time rise interval is: the rise time length is 0-5 seconds, the medium time rise interval is: the rise time length is 5-10 seconds, and the long time rise interval is: the rise time length is more than 10 seconds; there are n rise intervals in this classification, and the water pressure values ​​F corresponding to the front and rear endpoints of all the rise intervals in the classification are collected qi、F hi , and the t corresponding to the front and rear endpoints qi ,t hi , using the formula Calculate the rising slope value K of the target interval i , and then by the formula Calculate the average slope of all rising intervals in the same category The calculation formula for the numerical fluctuation is:

[0063]

[0064] When S 2 When ≤S0, where S0 is the normal value fluctuation threshold, it is determined that the user is not in a drowning state;

[0065] When S 2 >S0, it is determined that the user is in a drowning state.

[0066] In the water, the user wears a water pressure bracelet. When the user is in three different states, namely playing, swimming normally, and drowning, the position and movement of the arm in the water are different, so the user's arm hitting the water surface will cause the surrounding water pressure sensed by the wearable device to change, and in these three states, the water pressure change will show specific rules in each state. By analyzing the change of water pressure value over time, a water pressure drawing chart is established, and the water pressure chart intervals in the rising interval segment in the chart are screened out. Each chart interval is classified, and the rising slope value of the target interval segment is calculated, and then the variance formula is used to calculate its numerical fluctuation. At the same time, a numerical fluctuation threshold under normal state is set for comparison, so as to increase the accuracy and reliability of judging the user's drowning state.

[0067] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are 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 other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0068] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent lifebuoy comprehensive management and control system based on big data, including a data collection module, a data analysis module, and a management and control module, characterized in that: The data collection module is suitable for collecting and preliminarily analyzing relevant data of users during swimming in a swimming pool scenario; the data analysis module is used to analyze the relevant data of users during swimming collected by the data collection module and determine whether there is a suspicion of drowning of the user, and the data collection module is electrically connected to the data analysis module; the management and control module is used to monitor the specific conditions of each area of ​​the swimming pool in real time, control the start of inflation of the smart life buoy, and quickly provide early warning responses to swimming pool staff, and the management and control module is electrically connected to the data analysis module.

2. According to the big data-based intelligent lifebuoy integrated management and control system of claim 1, it is characterized by: The data collection module includes a user registration information collection module, a water immersion data collection module, a vital sign data collection module, a water pressure data collection module, and a location data collection module; The user registration information collection module is used to collect the user's personal basic information and swimming proficiency data; the immersion data collection module is used to collect the user's immersion data during swimming; the vital sign data collection module is used to collect the user's heart rate change data when swimming or diving; the water pressure data collection module is used to collect the user's water pressure change data during swimming; the location data collection module is used to collect the location data of the smart lifebuoy and the person who fell into the water.

3. According to the big data-based intelligent lifebuoy integrated management and control system of claim 2, it is characterized by: The water immersion data collection module includes a water immersion sensor and a timing unit 1. The water immersion sensor is used to detect whether the smart lifebuoy is in contact with water, and the timing unit 1 performs timing according to the trigger signal; the vital sign data collection module includes a heart rate sensor and a timing unit 2. The heart rate sensor is used to monitor the user's heart rate changes, and the timing unit 2 performs timing according to the trigger signal; the water pressure data collection module includes a water pressure sensor and a timing unit 3. The water pressure sensor is used to monitor the changes in water pressure on the user's body, and the timing unit 3 performs timing according to the trigger signal.

4. According to the big data-based intelligent lifebuoy integrated management and control system of claim 3, it is characterized by: The location data collection module includes an area division submodule, an RFID reader and a camera submodule. The area division submodule is used to divide the water area into multiple small areas; the RFID reader is used to establish location information transmission with the smart life buoy within the area, and the camera submodule is used to capture real-time images of users drowning in the area.

5. According to claim 4, a smart lifebuoy integrated management and control system based on big data is characterized in that: The data analysis module includes a data integration module, a data combination analysis module and a drowning determination module. The data integration module is used to merge data from different sensors into a unified data set; the data combination analysis module is used to convert the data set integrated by the data integration module into an intuitive chart, combining different parameters to provide data support for drowning determination; the drowning determination module is used to use the analysis results provided by the data combination analysis module to determine whether the user is drowning.

6. According to claim 5, a smart lifebuoy integrated management and control system based on big data is characterized in that: The data integration module includes a data receiving submodule and a data processing submodule. The data receiving submodule is used to receive the data set organized by the data integration module; the data processing submodule is used to analyze the influence of water pressure data on drowning judgment.

7. The intelligent lifebuoy integrated management and control system based on big data according to claim 6 is characterized by: The management and control module includes a status monitoring and alarm module and an automatic inflation module. The status monitoring and alarm module is used to view the real-time images captured by the camera module, detect abnormal conditions, and trigger an alarm when necessary. The status monitoring and alarm module is electrically connected to the position data collection module; the automatic inflation module is used to inflate the smart life buoy.

8. The intelligent lifebuoy integrated management and control system based on big data according to claim 7 is characterized by: The intelligent lifebuoy integrated management and control system comprises the following steps: The user wears a smart lifebuoy and enters the swimming pool to start swimming; Step S1: In response to the smart lifebuoy start signal, the data collection module collects the user's immersion data, heart rate data, heart rate change time, water pressure data, location data, and real-time images during swimming; Step S2: Retrieve the system registration information of the current user and capture the user's swimming proficiency registration level D i , where i = 1, 2, ..., n, according to the current user's swimming proficiency level D i Match the corresponding drowning judgment standard in the system preset database; receive the immersion data in real time, and when the water immersion sensor continues to trigger the sensing timing J t ≥B i , or when real-time acquisition of the number of consecutive trigger sensing signals J s ≥C i , then it is judged that the current user may be drowning, and the judgment signal triggering time t is output k , the system controls the data analysis module to start and further analyze the user data; the drowning judgment standard is that the water immersion sensor continuously triggers the sensing signal for B i seconds or the water sensor triggers the sensing signal continuously C i Above, where i = 1, 2, ..., n, and the standard for continuous triggering is that the time interval between the previous and the next trigger is less than t l Second; Step S3: Get user t k - Heart rate value Y at 10 seconds l , where t k -10 is in seconds. l ≤Y0, where Y0 is the standard heart rate value of the user in normal state, obtain the user's t k Heart rate value Y at the moment z , where t k The unit is seconds, using the formula Calculate the heart rate rising slope value K x ; When K x When ≤K0, where K0 is the normal heart rate change threshold, it is determined that the user is not in a drowning state; When K x >K0, the user is judged to be in a drowning state; Step S4: using the location data collection module to collect the user's precise location; Step S5: When Y l >Y0, a water pressure drawing chart is established, and the data processing module selects the water pressure chart intervals in the chart that are in the rising interval segment, classifies each chart interval, and calculates the value fluctuation; Step S6: Comprehensively analyze and judge the results. When a drowning state exists, the drowning judgment module outputs an electrical signal to the management and control module, the automatic inflation module immediately triggers the inflation device of the smart life buoy, and the status monitoring alarm module sends an emergency alarm message to the lifeguard and checks the user's drowning status in real time. The alarm information includes the user's precise location in a small area and the user's drowning risk data. After receiving the alarm message, the lifeguard quickly rushes to the user's drowning location for rescue.

9. The intelligent lifebuoy integrated management and control system based on big data according to claim 8 is characterized by: The step S4 further comprises the following steps: Step S41: Divide the swimming pool into several groups of small areas. An RFID reader is deployed at the bottom of each group of small areas to capture the signal sent by the RFID tag in the area. When it is determined that the user is in a drowning state, the RFID reader in each area tracks the signal address of the RFID tag bundled with the smart lifebuoy of the user in the drowning state. After the RFID reader at the bottom of the area where the user is located responds to the tracking signal, it sends an identification reminder to the system, so that the staff can quickly get the user's area according to the identification reminder, thereby obtaining the precise location of the user in the drowning state, and synchronously calling the enlarged monitoring picture of the area where the RFID reader that responds to the tracking signal is located.

10. The intelligent lifebuoy integrated management and control system based on big data according to claim 9 is characterized in that: The step S5 further comprises the following steps: Step S51: The water pressure value F corresponding to the timing time of the timing unit 3 is taken as the horizontal axis. y Establish a plane rectangular coordinate system for the vertical axis, draw data points on the plane rectangular coordinate system every 1 second interval, connect all the drawn points in sequence to form a plane rectangular coordinate line graph; the data processing module sets the minimum number of consecutive time points N b , continuous N b The water pressure value F at a time point y Increase F(t1) successively <F(t2)<F(t3)<...<F(t p ), where F(t p ) represents the time t p Corresponding water pressure value, then judge from t1 to t p This period of time is the rising interval; according to the time length S of the rising interval d For classification, S d =0, 1, 2, ..., n, the small time rise interval is: the rise time length is 0-5 seconds, the medium time rise interval is: the rise time length is 5-10 seconds, and the long time rise interval is: the rise time length is more than 10 seconds; there are n rise intervals in this classification, and the water pressure values ​​F corresponding to the front and rear endpoints of all the rise intervals in the classification are collected qi 、F hi , and the t corresponding to the front and rear endpoints qi ,t hi , using the formula Calculate the rising slope value K of the target interval i , and then by the formula The average slope K of all rising intervals in the same classification is calculated, and the calculation formula for the numerical fluctuation is: When S 2 When ≤S0, where S0 is the normal value fluctuation threshold, it is determined that the user is not in a drowning state; When S 2 >S0, it is determined that the user is in a drowning state.

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