CN114582091A - Intelligent monitoring and early warning system based on swimming pool safety - Google Patents
Intelligent monitoring and early warning system based on swimming pool safety Download PDFInfo
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- CN114582091A CN114582091A CN202210237908.9A CN202210237908A CN114582091A CN 114582091 A CN114582091 A CN 114582091A CN 202210237908 A CN202210237908 A CN 202210237908A CN 114582091 A CN114582091 A CN 114582091A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/08—Alarms for ensuring the safety of persons responsive to the presence of persons in a body of water, e.g. a swimming pool; responsive to an abnormal condition of a body of water
- G08B21/088—Alarms for ensuring the safety of persons responsive to the presence of persons in a body of water, e.g. a swimming pool; responsive to an abnormal condition of a body of water by monitoring a device worn by the person, e.g. a bracelet attached to the swimmer
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B27/00—Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
- G08B27/001—Signalling to an emergency team, e.g. firemen
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention discloses an intelligent monitoring and early warning system based on swimming pool safety, relates to the technical field of swimming pool safety monitoring, and solves the technical problems that drowning accidents of a swimming pool occur and serious consequences are caused because drowning persons cannot be timely and effectively rescued in the prior art; the method comprises the steps of collecting real-time data of a user, obtaining a safety label of the user according to body parameters and a safety detection model, controlling intelligent wearable equipment of the user to give an alarm when the user is in a dangerous state, and sending an early warning signal and position data corresponding to the user to a related security officer; the invention can effectively reduce the occurrence of swimming drowning accidents; when the two-dimensional model is divided into a plurality of sub-regions, a main safety worker and at least one auxiliary safety worker are arranged for each sub-region, and when the main safety worker cannot timely treat the drowning condition of a target region, the drowning user is guaranteed to be timely rescued through the cooperative treatment of the auxiliary safety workers.
Description
Technical Field
The invention belongs to the field of swimming pool safety, relates to a swimming pool safety monitoring technology, and particularly relates to an intelligent monitoring and early warning system based on swimming pool safety.
Background
The swimming can not only exercise the human body and enhance the physique, but also can shape the physique, so that people are more and more liked and selected, but improper swimming can not only damage the body health of the people, but also drowning and untimely rescue and lose life; thus, pool safety is receiving increased attention.
In the prior art, when a swimmer drowns, the swimmer can only send out a distress signal actively by himself, and due to negligence of a safety worker or other management personnel, the swimmer cannot be timely and effectively rescued, so that a swimming pool drowning accident occurs, and serious consequences are caused; therefore, an intelligent monitoring and early warning system based on the swimming pool safety, which can automatically identify and analyze physical parameters of a drowner and send distress signals, is urgently needed.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides an intelligent monitoring and early warning system based on the safety of a swimming pool, which is used for solving the technical problems that in the prior art, swimmers can only send out distress signals actively by themselves, and drowners cannot be rescued timely and effectively due to negligence of safety personnel or other management personnel, so that the occurrence of drowning accidents of the swimming pool is caused, and serious consequences are caused; the invention can monitor the body parameter data of the swimmer in real time, and send out early warning signals in time when the body of the swimmer is abnormal, thereby effectively reducing the occurrence of swimming drowning accidents and solving the problems.
To achieve the above object, an embodiment according to a first aspect of the present invention provides an intelligent monitoring and early warning system based on pool safety, comprising:
a data detection module: the method comprises the steps that real-time data of a user are collected through intelligent wearable equipment connected with a data detection module, and the real-time data are sent to a data processing module; wherein the real-time data comprises position data and physical parameters, the physical parameters comprising heart rate;
a data processing module: acquiring a security tag of a user according to the body parameters and the security detection model; the safety detection model is established based on an artificial intelligence model; and
the safety tag is identified, when the user is in a dangerous state, the intelligent wearable device of the user is controlled to give an alarm, and meanwhile, an early warning signal and position data corresponding to the user are sent to an associated security officer, wherein the associated security officer comprises a main security officer and an auxiliary security officer.
Preferably, the data processing module is in communication and/or electrical connection with the data detection module; intelligence wearing equipment and data processing module communication connection, just intelligence wearing equipment includes intelligent bracelet.
Preferably, the data processing module obtains the security tag based on the physical parameter, and includes:
acquiring a security detection model from a data processing module;
taking the time when the data processing module receives the body parameters as a reference time, extracting N body parameters before the reference time from the body parameters, and integrating to generate original data; wherein N is an integer greater than or equal to 10;
and inputting the original data into a safety detection model to obtain a corresponding safety label.
Preferably, the establishing of the safety detection model based on the artificial intelligence model includes:
acquiring standard training data from a data processing module; the standard training data comprises a plurality of groups of input data and corresponding security tags, and the content attributes of the input data and the original data are consistent;
training the artificial intelligence model through standard training data, and marking the trained artificial intelligence model as a safety detection model; the artificial intelligence model comprises a deep convolution neural network model or an RBF neural network model.
Preferably, the setting of the master security officer by the data processing module includes:
obtaining a design drawing of the swimming pool, and establishing a two-dimensional model of the swimming pool according to the design drawing;
segmenting the two-dimensional model to obtain a plurality of sub-regions;
a security officer is configured for each sub-area and marked as a master security officer.
Preferably, a secondary security guard is configured for a plurality of the sub-areas, including:
optionally selecting one subregion, and marking as a target region;
and acquiring a primary security officer of a sub-area adjacent to the target area, and setting the primary security officer as a secondary security officer of the target area.
Preferably, the segmenting the two-dimensional model includes:
dividing the two-dimensional model into a plurality of standard regions which are not coincident, marking the standard regions as sub-regions, and enabling the sum of the areas of the plurality of standard regions to be equal to the area of the two-dimensional model; wherein the standard area has a shape including a rectangle or a triangle.
Preferably, the value of the security tag is 0 or 1, when the security tag is 0, it indicates that the corresponding user is in a safe state, and when the security tag is 1, it indicates that the corresponding user is in a dangerous state.
Compared with the prior art, the invention has the beneficial effects that:
1. the method comprises the steps of collecting real-time data of a user, obtaining a safety label of the user according to body parameters and a safety detection model, controlling intelligent wearable equipment of the user to give an alarm when the user is in a dangerous state, and sending an early warning signal and position data corresponding to the user to a related security officer; the invention can monitor the body parameter data of the swimmer in real time, and send out early warning signals in time when the body of the swimmer is abnormal, thereby effectively reducing the occurrence of swimming drowning accidents.
2. When the two-dimensional model is divided into a plurality of sub-regions, a main safety worker and at least one auxiliary safety worker are arranged for each sub-region, and when the main safety worker cannot timely treat the drowning condition of a target region, the drowning user is guaranteed to be timely rescued through the cooperative treatment of the auxiliary safety workers.
Drawings
FIG. 1 is a schematic diagram of the working steps of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in FIG. 1, the present application provides an intelligent monitoring and early warning system based on swimming pool safety, which comprises
A data detection module: the method comprises the steps that real-time data of a user are collected through intelligent wearable equipment connected with a data detection module, and the real-time data are sent to a data processing module;
a data processing module: acquiring a security tag of a user according to the body parameters and the security detection model; and
the safety tags are identified, when the user is in a dangerous state, the intelligent wearable device of the user is controlled to give an alarm, and meanwhile, an early warning signal and position data corresponding to the user are sent to a related security officer.
In this application, intelligence wearing equipment includes position sensor and rhythm of the heart sensor, and position sensor and rhythm of the heart sensor are prior art, and position data passes through position sensor and gathers, and rhythm of the heart data passes through rhythm of the heart sensor and gathers, and intelligence wearing equipment sends the user position data and the rhythm of the heart data of gathering to data processing module, intelligence wearing equipment includes intelligent bracelet, intelligent wrist-watch etc..
The real-time data in the application comprise position data and body parameters, and the body parameters comprise heart rate and other parameters capable of reflecting the body state of the user in the swimming process.
The related security personnel in the application comprise a main security personnel and an auxiliary security personnel, the main security personnel are arranged to have corresponding security personnel for each subarea, and the auxiliary security personnel are arranged to prevent accidents; for example: when more than one drowning condition of subregion that main security personnel are responsible for takes place, a plurality of drowning users can not be taken into account to main security personnel, and vice security personnel receive the dangerous condition and also can come the drowning condition of common processing.
The data processing module and the data detection module are in communication and/or electrical connection; the intelligent wearable device is in communication connection with the data processing module.
The value of the security label is 0 or 1, when the security label is 0, the corresponding user is in a safe state, and when the security label is 1, the corresponding user is in a dangerous state; in other preferred schemes, the security tag may be further distinguished by other marks, for example, the value of the security tag is a or B, when the value of the security tag is a, it indicates that the corresponding user is in a security state, and when the value of the security tag is B, it indicates that the corresponding user is in a dangerous state.
In one embodiment, the data processing module obtains a security tag based on a physical parameter, comprising:
acquiring a security detection model from a data processing module;
taking the time when the data processing module receives the body parameters as a reference time, extracting N body parameters before the reference time from the body parameters, and integrating to generate original data;
and inputting the original data into a safety detection model to obtain a corresponding safety label.
In this embodiment, N is an integer greater than or equal to 10, and it is verified that an accurate security tag can only be obtained when at least 10 physical parameters are obtained; for example, the following steps are carried out:
assuming that the body parameters are acquired 1 time per second, the reference time is 0 min 0 s at 10 am, 15 body parameters before the reference time are extracted, that is, the data acquired from 9 hours, 59 min 46 s is the first body parameter, and the 15 body parameters are sorted according to the acquisition time until the reference time to form the original data.
In an optional embodiment, the establishing the safety detection model based on an artificial intelligence model comprises:
acquiring standard training data from a data processing module;
and training the artificial intelligence model through standard training data, and marking the trained artificial intelligence model as a safety detection model.
In this embodiment, the standard training data includes a plurality of sets of input data and corresponding security tags, and the input data and the original data have consistent content attributes; it will be appreciated that both the input data and the raw data comprise a selected number N of physical parameters, except for the magnitude of the physical parameters.
In this embodiment, the artificial intelligence model includes a model with strong nonlinear fitting capability, such as a deep convolutional neural network model or an RBF neural network model.
In one embodiment, setting a master security officer through the data processing module comprises:
obtaining a design drawing of the swimming pool, and establishing a two-dimensional model of the swimming pool according to the design drawing;
segmenting the two-dimensional model to obtain a plurality of sub-regions;
a security officer is configured for each sub-area and marked as a master security officer.
In this embodiment, the number of sub-regions corresponding to each two-dimensional model is not less than two; the number of the sub-regions is consistent with that of the master security officers, and the master security officers and the sub-regions are in one-to-one correspondence.
The swimming pool is divided into a plurality of sub-areas, each sub-area is provided with a main safety guard, the area responsible for each safety guard is clearly divided, the swimming pool is more clearly monitored, and the rescue efficiency is higher; it should be noted that the swimming pool referred to in this application is a rectangular area, and if it is a swimming pool of other shape, it is divided according to the shape of the swimming pool.
In a specific embodiment, configuring secondary security guards for a number of the sub-areas comprises:
optionally selecting one subregion, and marking as a target region;
and acquiring a main safety guard of a sub-area adjacent to the target area, and setting the main safety guard as a secondary safety guard of the target area.
In this embodiment, the sub-area adjacent to the target area is a sub-target area corresponding to the target area, and the primary security officer of the sub-target area is a sub-security officer of the target area; it will be appreciated that for a target area, there is at least one secondary security officer, such as: when a pool is divided into two equal area sub-areas, there is a secondary safety guard for each sub-area.
The method aims at requiring the assistant security officer to carry out cooperative processing when the main security officer cannot timely process the drowning condition of the target area; reference description examples 1) and 2):
1) when more than one drowning condition of subregion that main security personnel are responsible for takes place, a plurality of drowning users can not be taken into account to main security personnel, and vice security personnel receive the dangerous condition and also can come the drowning condition of common processing.
2) When the main safety personnel can not process the drowning condition of the target area emergently because of other things, the auxiliary safety personnel can process the drowning condition cooperatively.
In a specific embodiment, segmenting the two-dimensional model includes:
the two-dimensional model is divided into a plurality of standard regions which are not overlapped, and the sum of the areas of the plurality of standard regions is equal to the area of the two-dimensional model.
The standard area in the embodiment includes other shapes such as a rectangle or a triangle which can reasonably divide the two-dimensional model; it is worth noting that the total area of the spliced plurality of standard areas is equal to the total area of the two-dimensional model; for example, the following steps are carried out:
a two-dimensional model of the swimming pool is built according to a design drawing of the swimming pool, the two-dimensional model is a rectangle of 10m multiplied by 20m, and the two-dimensional model is divided into four rectangular areas, namely four sub-areas in equal area.
Or the two-dimensional model is divided along two diagonal lines, and the two-dimensional model is divided into four non-coincident triangles, and the total area of the four non-coincident triangles is equal to the area of the rectangle.
The working principle of the invention is as follows:
the method comprises the steps that real-time data of a user are collected through intelligent wearable equipment connected with a data detection module, and the real-time data are sent to a data processing module;
acquiring a security tag of a user according to the body parameters and the security detection model; and identifying the safety label, controlling the intelligent wearable device of the user to give an alarm when the user is in a dangerous state, and simultaneously sending an early warning signal and position data corresponding to the user to a related security officer.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. Intelligent monitoring early warning system based on swimming pool safety, its characterized in that includes: a data detection module: the method comprises the steps that real-time data of a user are collected through intelligent wearable equipment connected with a data detection module, and the real-time data are sent to a data processing module; wherein the real-time data comprises position data and physical parameters, the physical parameters comprising heart rate;
a data processing module: acquiring a security tag of a user according to the body parameters and the security detection model; the safety detection model is established based on an artificial intelligence model; and
the safety tag is identified, when the user is in a dangerous state, the intelligent wearable device of the user is controlled to give an alarm, and meanwhile, an early warning signal and position data corresponding to the user are sent to an associated security officer, wherein the associated security officer comprises a main security officer and an auxiliary security officer.
2. The intelligent pool safety-based monitoring and pre-warning system of claim 1, wherein the data processing module is in communication and/or electrical connection with the data detection module; intelligence wearing equipment and data processing module communication connection, just intelligence wearing equipment includes intelligent bracelet.
3. The intelligent pool safety-based monitoring and pre-warning system as recited in claim 1, wherein the data processing module obtains the safety label based on the physical parameters, comprising:
acquiring a security detection model from a data processing module;
taking the time when the data processing module receives the body parameters as a reference time, extracting N body parameters before the reference time from the body parameters, and integrating to generate original data; wherein N is an integer greater than or equal to 10;
and inputting the original data into a safety detection model to obtain a corresponding safety label.
4. The intelligent pool safety-based monitoring and pre-warning system as recited in claim 1, wherein said safety detection model is established based on an artificial intelligence model, comprising:
acquiring standard training data from a data processing module; the standard training data comprises a plurality of groups of input data and corresponding security labels, and the content attributes of the input data and the original data are consistent;
training the artificial intelligence model through standard training data, and marking the trained artificial intelligence model as a safety detection model; the artificial intelligence model comprises a deep convolution neural network model or an RBF neural network model.
5. The intelligent swimming pool safety-based monitoring and pre-warning system as claimed in claim 1, wherein the main security officer is set up by the data processing module, comprising:
obtaining a design drawing of the swimming pool, and establishing a two-dimensional model of the swimming pool according to the design drawing;
segmenting the two-dimensional model to obtain a plurality of sub-regions;
a safer is configured for each sub-area and marked as a master safer.
6. The intelligent pool safety-based monitoring and pre-warning system as recited in claim 5, wherein sub-safety personnel are configured for a plurality of said sub-areas, comprising:
optionally selecting one subregion, and marking as a target region;
and acquiring a main safety guard of a sub-area adjacent to the target area, and setting the main safety guard as a secondary safety guard of the target area.
7. The intelligent pool safety-based monitoring and pre-warning system of claim 5, wherein the two-dimensional model is segmented, comprising:
dividing the two-dimensional model into a plurality of standard regions which are not coincident, marking the standard regions as sub-regions, and enabling the sum of the areas of the plurality of standard regions to be equal to the area of the two-dimensional model; wherein the standard area has a shape including a rectangle or a triangle.
8. The intelligent swimming pool safety-based monitoring and early-warning system as recited in claim 1, wherein the value of the safety tag is 0 or 1, when the safety tag is 0, it indicates that the corresponding user is in a safe state, and when the safety tag is 1, it indicates that the corresponding user is in a dangerous state.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210237908.9A CN114582091A (en) | 2022-03-11 | 2022-03-11 | Intelligent monitoring and early warning system based on swimming pool safety |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210237908.9A CN114582091A (en) | 2022-03-11 | 2022-03-11 | Intelligent monitoring and early warning system based on swimming pool safety |
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