Method and system for rescuing personnel falling into water based on Beidou third-generation positioning

Abstract

The invention relates to the technical field of emergency rescue for overwater personnel falling into water, in particular to a method and system for rescuing overwater personnel based on Beidou third-generation positioning, and the method comprises the steps: judging whether an offshore worker falls into water or not, and if yes, controlling a Beidou rescue position indicating mark terminal to send the falling alarm information to a monitoring platform, the monitoring platform predicts drifting direction information and position information of the drowning person according to climate information of the drowning water area where the drowning person is located, the monitoring platform calculates a rescue route of the drowning person according to the predicted drifting direction information and position information of the drowning person, and the rescue route serves as a rescue scheme. By means of the characteristic of all-time and all-region signal coverage of the Beidou satellite technology, transmission of real-time positioning data is achieved, and accurate transmission of positioning information can be ensured even in regions without network coverage or with unstable 4G / 5G signals.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency rescue for people falling into water, and in particular to a method and system for rescuing people falling into water based on Beidou III positioning. Background Art

[0002] At present, most emergency search and rescue operations on water use GPS positioning. However, GPS positioning requires a network connection. In specific environments such as the open sea, without a network or 4G / 5G signal, it is impossible to transmit a distress signal. Alternatively, information must be transmitted manually using the Internet or telephone. In this way, the information needs to be conveyed layer by layer, which is slow in time and there is no unified record management for relevant personnel. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method and system for rescuing people who fall into water based on Beidou III positioning, which can realize the transmission of real-time positioning data and ensure the accurate transmission of positioning information even in areas without network coverage or unstable 4G / 5G signals.

[0004] In order to solve the above technical problems, the first technical solution adopted by the present invention is: A method for rescuing people who fall into water based on Beidou III positioning, comprising the following steps: S1. Determine whether any offshore workers have fallen into the water; S2. If an offshore worker falls into the water, the Beidou rescue beacon terminal is controlled to send the water-falling alarm information to the monitoring platform; S3, the monitoring platform predicts the drifting direction and location information of the drowning person according to the climate information of the water area where the drowning person is located; S4. The monitoring platform calculates a rescue route for the person who has fallen into the water according to the predicted drifting direction information and position information of the person who has fallen into the water, and uses the rescue route as an auxiliary rescue plan.

[0005] The second technical solution adopted by the present invention is: A rescue system for drowning people based on Beidou III positioning includes one or more processors and a memory, wherein the memory stores a program, and when the program is executed by the processor, the following steps are implemented: S1. Determine whether any offshore workers have fallen into the water; S2. If an offshore worker falls into the water, the Beidou rescue beacon terminal is controlled to send the water-falling alarm information to the monitoring platform; S3, the monitoring platform predicts the drifting direction and location information of the drowning person according to the climate information of the water area where the drowning person is located; S4. The monitoring platform calculates a rescue route for the person who has fallen into the water according to the predicted drifting direction information and position information of the person who has fallen into the water, and uses the rescue route as an auxiliary rescue plan.

[0006] The beneficial effects of the present invention are: This solution determines whether there are any offshore workers who fall into the water. If so, the Beidou rescue beacon terminal is controlled to send the water-falling alarm information to the monitoring platform. The monitoring platform predicts the drifting direction and location information of the fallen person based on the climate information of the water area where the fallen person is located. The monitoring platform calculates the rescue route of the fallen person based on the predicted drifting direction and location information of the fallen person, and uses the rescue route as an auxiliary rescue plan. The Beidou satellite technology's full-time and full-area signal coverage is used to realize the transmission of real-time positioning data, and the accurate transmission of positioning information can be ensured even in areas without network coverage or unstable 4G / 5G signals. Whether in remote mountainous areas, oceans, deserts and other areas where the network is difficult to cover, or in special environments, stable and reliable positioning data transmission services can be provided. The intelligent prediction and route planning of the monitoring platform can greatly improve the search and rescue efficiency of rescue personnel, and the perfect process planning can greatly shorten the rescue dispatch time and search and rescue time, thereby improving the rescue success rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] Figure 1 It is a flowchart of the steps of the method for rescuing people who fall into water based on Beidou III positioning of the present invention; Figure 2 It is a connection block diagram of the rescue system for drowning people based on Beidou III positioning of the present invention; Description of labels: 1. Processor; 2. Memory. DETAILED DESCRIPTION

[0008] In order to explain the technical content, achieved objectives and effects of the present invention in detail, the following is an explanation in conjunction with the implementation modes and the accompanying drawings.

[0009] Please refer to Figure 1 , the first technical solution adopted by the present invention is: A method for rescuing people who fall into water based on Beidou III positioning, comprising the following steps: S1. Determine whether any offshore workers have fallen into the water; S2. If an offshore worker falls into the water, the Beidou rescue beacon terminal is controlled to send the water-falling alarm information to the monitoring platform; S3, the monitoring platform predicts the drifting direction and location information of the drowning person according to the climate information of the water area where the drowning person is located; S4. The monitoring platform calculates a rescue route for the person who has fallen into the water according to the predicted drifting direction information and position information of the person who has fallen into the water, and uses the rescue route as an auxiliary rescue plan.

[0010] From the above description, it can be seen that the beneficial effects of the present invention are: This solution determines whether there are any offshore workers who fall into the water. If so, the Beidou rescue beacon terminal is controlled to send the water-falling alarm information to the monitoring platform. The monitoring platform predicts the drifting direction and location information of the fallen person based on the climate information of the water area where the fallen person is located. The monitoring platform calculates the rescue route of the fallen person based on the predicted drifting direction and location information of the fallen person, and uses the rescue route as an auxiliary rescue plan. The Beidou satellite technology's full-time and full-area signal coverage is used to realize the transmission of real-time positioning data, and the accurate transmission of positioning information can be ensured even in areas without network coverage or unstable 4G / 5G signals. Whether in remote mountainous areas, oceans, deserts and other areas where the network is difficult to cover, or in special environments, stable and reliable positioning data transmission services can be provided. The intelligent prediction and route planning of the monitoring platform can greatly improve the search and rescue efficiency of rescue personnel, and the perfect process planning can greatly shorten the rescue dispatch time and search and rescue time, thereby improving the rescue success rate.

[0011] Furthermore, step S2 is specifically as follows: The Beidou rescue position indicating beacon terminal sends the drowning alarm information to the monitoring platform through the customized Beidou short message information.

[0012] From the above description, it can be seen that the use of Beidou satellite short message communication technology can realize the transmission of real-time positioning data, and can ensure the accurate transmission of positioning information even in areas without network coverage or unstable 4G / 5G signals; whether in remote mountainous areas, oceans, deserts and other areas where the network is difficult to cover, or in special environments, it can provide stable and reliable positioning data transmission services.

[0013] Furthermore, the following steps are included between step S2 and step S3: The monitoring platform sends a water fall alarm to the on-duty personnel, and at the same time, the monitoring platform sends an alarm text message and makes a call to the reserved rescue personnel.

[0014] Furthermore, step S4 is specifically as follows: S41, parsing the longitude and latitude information of the person who fell into the water according to the Beidou short message information customized in step S2; S42, obtaining information of ships and rescue teams near the drowning person; S43, calculating the closest ship and rescue team to the drowning person based on the longitude and latitude information of the drowning person and the information of the ship and rescue team near the drowning person; S44. Use the vessel and rescue team closest to the person who fell into the water as an auxiliary rescue plan.

[0015] Furthermore, step S3 is specifically as follows: S31, obtaining drift data, and reading training set data and test set data from the drift data; S32, performing a time series processing operation on the training set data and the test set data to obtain training set time series data and test set time series data; S33, establishing an LSTM model, and substituting the training set time series data and the test set time series data into the LSTM model to obtain a training model; S34, testing the test set data using the training model to obtain a trajectory prediction model; S35. Obtain the drifting direction information and position information of the person who falls into the water according to the trajectory prediction model.

[0016] From the above description, it can be seen that by reading the training set data and the test set data from the drifting data, the training set data and the test set data are time-serialized to obtain the training set time series data and the test set time series data, and the training set time series data and the test set time series data are substituted into the ISTM model to obtain the training model. The test set data is tested by the training model to obtain the trajectory prediction model. The LSIM model can capture the long-term dependencies in the time series data and is suitable for various sequence prediction tasks, so that it can accurately simulate the actual situation of drifting after people fall into the water under different sea conditions.

[0017] Please refer to Figure 2 , the second technical solution adopted by the present invention is: A rescue system for drowning people based on Beidou III positioning includes one or more processors and a memory, wherein the memory stores a program, and when the program is executed by the processor, the following steps are implemented: S1. Determine whether any offshore workers have fallen into the water; S2. If an offshore worker falls into the water, the Beidou rescue beacon terminal is controlled to send the water-falling alarm information to the monitoring platform; S3, the monitoring platform predicts the drifting direction and location information of the drowning person according to the climate information of the water area where the drowning person is located; S4. The monitoring platform calculates a rescue route for the person who has fallen into the water according to the predicted drifting direction information and position information of the person who has fallen into the water, and uses the rescue route as an auxiliary rescue plan.

[0018] From the above description, it can be seen that the beneficial effects of the present invention are: This solution determines whether there are any offshore workers who fall into the water. If so, the Beidou rescue beacon terminal is controlled to send the water-falling alarm information to the monitoring platform. The monitoring platform predicts the drifting direction and location information of the fallen person based on the climate information of the water area where the fallen person is located. The monitoring platform calculates the rescue route of the fallen person based on the predicted drifting direction and location information of the fallen person, and uses the rescue route as an auxiliary rescue plan. The Beidou satellite technology's full-time and full-area signal coverage is used to realize the transmission of real-time positioning data, and the accurate transmission of positioning information can be ensured even in areas without network coverage or unstable 4G / 5G signals. Whether in remote mountainous areas, oceans, deserts and other areas where the network is difficult to cover, or in special environments, stable and reliable positioning data transmission services can be provided. The intelligent prediction and route planning of the monitoring platform can greatly improve the search and rescue efficiency of rescue personnel, and the perfect process planning can greatly shorten the rescue dispatch time and search and rescue time, thereby improving the rescue success rate.

[0019] Furthermore, when the program is executed by the processor, the following steps are implemented: Step S2 is specifically as follows: The Beidou rescue position indicating beacon terminal sends the drowning alarm information to the monitoring platform through the customized Beidou short message information.

[0020] From the above description, it can be seen that the use of Beidou satellite short message communication technology can realize the transmission of real-time positioning data, and can ensure the accurate transmission of positioning information even in areas without network coverage or unstable 4G / 5G signals; whether in remote mountainous areas, oceans, deserts and other areas where the network is difficult to cover, or in special environments, it can provide stable and reliable positioning data transmission services.

[0021] Furthermore, when the program is executed by the processor, the following steps are implemented: The following steps are also included between step S2 and step S3: The monitoring platform sends a water fall alarm to the on-duty personnel, and at the same time, the monitoring platform sends an alarm text message and makes a call to the reserved rescue personnel.

[0022] Furthermore, when the program is executed by the processor, the following steps are implemented: Step S4 is specifically as follows: S41, parsing the longitude and latitude information of the person who fell into the water according to the Beidou short message information customized in step S2; S42, obtaining information of ships and rescue teams near the drowning person; S43, calculating the closest ship and rescue team to the drowning person based on the longitude and latitude information of the drowning person and the information of the ship and rescue team near the drowning person; S44. Use the vessel and rescue team closest to the person who fell into the water as an auxiliary rescue plan.

[0023] Furthermore, when the program is executed by the processor, the following steps are implemented: Step S3 is specifically as follows: S31, obtaining drift data, and reading training set data and test set data from the drift data; S32, performing a time series processing operation on the training set data and the test set data to obtain training set time series data and test set time series data; S33, establishing an LSTM model, and substituting the training set time series data and the test set time series data into the LSTM model to obtain a training model; S34, testing the test set data using the training model to obtain a trajectory prediction model; S35. Obtain the drifting direction information and position information of the person who falls into the water according to the trajectory prediction model.

[0024] From the above description, it can be seen that by reading the training set data and the test set data from the drifting data, the training set data and the test set data are time-serialized to obtain the training set time series data and the test set time series data, and the training set time series data and the test set time series data are substituted into the ISTM model to obtain the training model. The test set data is tested by the training model to obtain the trajectory prediction model. The LSIM model can capture the long-term dependencies in the time series data and is suitable for various sequence prediction tasks, so that it can accurately simulate the actual situation of drifting after people fall into the water under different sea conditions.

[0025] Please refer to Figure 1 , Embodiment 1 of the present invention is: A method for rescuing people who fall into water based on Beidou III positioning, comprising the following steps: S1. Determine whether any offshore workers have fallen into the water; S2. If an offshore worker falls into the water, the Beidou rescue beacon terminal is controlled to send the water-falling alarm information to the monitoring platform; Step S2 is specifically as follows: The Beidou rescue beacon terminal sends the drowning alarm information to the monitoring platform through a customized Beidou short message information (i.e., sending the Beidou short message information through an existing Beidou short message chip, and the Beidou short message chip can adopt a chip of model TD3050 produced by Taidou Microelectronics Company); The customized Beidou short message information is shown in Table 1:

[0026] Table 1 S3, the monitoring platform predicts the drifting direction and location information of the drowning person according to the climate information of the water area where the drowning person is located; Step S3 is specifically as follows: S31, obtaining drift data, and reading training set data and test set data from the drift data; S32, performing a time series processing operation on the training set data and the test set data to obtain training set time series data and test set time series data; S33, establishing an LSTM model, and substituting the training set time series data and the test set time series data into the LSTM model to obtain a training model; S34, testing the test set data using the training model to obtain a trajectory prediction model; S35, obtaining drift direction information and position information of the person who falls into the water according to the trajectory prediction model; The drifting direction information and position information of the person who falls into the water can also be obtained through the existing trajectory prediction method of the person who falls into the water.

[0027] The following steps are also included between step S34 and step S35: According to the trajectory prediction model, the predicted trajectory data is obtained; Substituting the predicted trajectory data into a Kalman filter to obtain an optimized trajectory prediction model; The following steps are also included between step S2 and step S3: The monitoring platform sends a water fall warning to the on-duty personnel, and at the same time sends a warning SMS and makes a call to the reserved rescue personnel; S4, the monitoring platform calculates a rescue route for the drowning person according to the predicted drifting direction information and location information of the drowning person, and uses the rescue route as an auxiliary rescue plan; Step S4 is specifically as follows: S41, parsing the longitude and latitude information of the person who fell into the water according to the Beidou short message information customized in step S2; S42, obtaining information of ships and rescue teams near the drowning person; S43, calculating the closest ship and rescue team to the drowning person based on the longitude and latitude information of the drowning person and the information of the ship and rescue team near the drowning person; S44. Use the vessel and rescue team closest to the person who fell into the water as an auxiliary rescue plan.

[0028] The core of this design is that after a person falls into the water, the Beidou-3 positioning terminal sends the latitude and longitude position and time information of the person to the monitoring platform through a Beidou short message; the system uses a drift prediction algorithm to predict the possible sea position of the person who falls into the water in a certain period of time in the future. The monitoring platform combines the situation of ships and rescue teams near the predicted position, and calculates the corresponding rescue distance through the method of the shortest straight-line distance between two points, thereby assisting the rescue commander to formulate a rescue plan so that the rescue team can quickly find the person who falls into the water and implement rescue.

[0029] Please refer to Figure 2 , Embodiment 2 of the present invention is: A rescue system for drowning people based on Beidou III positioning includes one or more processors 1 and a memory 2, wherein the memory 2 stores a program, and when the program is executed by the processor 1, the following steps are implemented: S1. Determine whether any offshore workers have fallen into the water; S2. If an offshore worker falls into the water, the Beidou rescue beacon terminal is controlled to send the falling-into-water alarm information to the monitoring platform; when the program is executed by the processor 1, the following steps are implemented: Step S2 is specifically as follows: The Beidou rescue beacon terminal sends the drowning alarm information to the monitoring platform through the customized Beidou short message information; the customized Beidou short message information is as shown in Table 1; S3, the monitoring platform predicts the drifting direction information and location information of the drowning person according to the climate information of the water area where the drowning person is located; when the program is executed by the processor 1, the following steps are implemented: Step S3 is specifically as follows: S31, obtaining drift data, and reading training set data and test set data from the drift data; S32, performing a time series processing operation on the training set data and the test set data to obtain training set time series data and test set time series data; S33, establishing an LSTM model, and substituting the training set time series data and the test set time series data into the LSTM model to obtain a training model; S34, testing the test set data using the training model to obtain a trajectory prediction model; S35, obtaining drift direction information and position information of the person who falls into the water according to the trajectory prediction model; The following steps are also included between step S34 and step S35: According to the trajectory prediction model, the predicted trajectory data is obtained; Substituting the predicted trajectory data into a Kalman filter to obtain an optimized trajectory prediction model; When the program is executed by processor 1, the following steps are implemented: The following steps are also included between step S2 and step S3: The monitoring platform sends a water fall warning to the on-duty personnel, and at the same time sends a warning SMS and makes a call to the reserved rescue personnel; S4, the monitoring platform calculates a rescue route for the drowning person according to the predicted drifting direction information and position information of the drowning person, and uses the rescue route as an auxiliary rescue plan; when the program is executed by the processor 1, the following steps are implemented: Step S4 is specifically as follows: S41, parsing the longitude and latitude information of the person who fell into the water according to the Beidou short message information customized in step S2; S42, obtaining information of ships and rescue teams near the drowning person; S43, calculating the closest ship and rescue team to the drowning person based on the longitude and latitude information of the drowning person and the information of the ship and rescue team near the drowning person; S44. Use the vessel and rescue team closest to the person who fell into the water as an auxiliary rescue plan.

[0030] In summary, the present invention provides a method and system for rescuing people who fall into the water based on Beidou third-generation positioning. By judging whether there are any offshore workers who fall into the water, if there are any offshore workers who fall into the water, the Beidou rescue beacon terminal is controlled to send the water-falling alarm information to the monitoring platform. The monitoring platform predicts the drifting direction information and position information of the fallen person according to the climate information of the water area where the fallen person is located. The monitoring platform calculates the rescue route of the fallen person according to the predicted drifting direction information and position information of the fallen person, and uses the rescue route as an auxiliary rescue plan. The Beidou satellite technology has the characteristic of full-time and full-area signal coverage to realize the transmission of real-time positioning data, and the accurate transmission of positioning information can be ensured even in areas without network coverage or unstable 4G / 5G signals; whether in remote mountainous areas, oceans, deserts and other areas where the network is difficult to cover, or in special environments, stable and reliable positioning data transmission services can be provided; through the intelligent prediction and route planning of the monitoring platform, the search and rescue efficiency of the rescue personnel is greatly improved, and through the perfect process planning, the rescue dispatch time and search and rescue time are greatly shortened, thereby improving the rescue success rate.

[0031] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for rescuing people who fall into water based on Beidou III positioning, characterized in that: The following steps are involved: S1. Determine whether any offshore workers have fallen into the water; S2. If an offshore worker falls into the water, the Beidou rescue beacon terminal is controlled to send the water-falling alarm information to the monitoring platform; S3, the monitoring platform predicts the drifting direction and location information of the drowning person according to the climate information of the water area where the drowning person is located; S4. The monitoring platform calculates a rescue route for the person who has fallen into the water according to the predicted drifting direction information and position information of the person who has fallen into the water, and uses the rescue route as an auxiliary rescue plan.

2. The method for rescuing people falling into water based on Beidou III positioning according to claim 1 is characterized in that: Step S2 is specifically as follows: The Beidou rescue position indicating beacon terminal sends the drowning alarm information to the monitoring platform through the customized Beidou short message information.

3. The method for rescuing people falling into water based on Beidou III positioning according to claim 1 is characterized in that: The following steps are also included between step S2 and step S3: The monitoring platform sends a water fall alarm to the on-duty personnel, and at the same time, the monitoring platform sends an alarm text message and makes a call to the reserved rescue personnel.

4. The method for rescuing people falling into water based on Beidou III positioning according to claim 3 is characterized in that: Step S4 is specifically as follows: S41, parsing the longitude and latitude information of the person who fell into the water according to the Beidou short message information customized in step S2; S42, obtaining information of ships and rescue teams near the drowning person; S43, calculating the closest ship and rescue team to the drowning person based on the longitude and latitude information of the drowning person and the information of the ship and rescue team near the drowning person; S44. Use the vessel and rescue team closest to the person who fell into the water as an auxiliary rescue plan.

5. The method for rescuing people falling into water based on Beidou III positioning according to claim 1, characterized in that: Step S3 is specifically as follows: S31, obtaining drift data, and reading training set data and test set data from the drift data; S32, performing a time series processing operation on the training set data and the test set data to obtain training set time series data and test set time series data; S33, establishing an LSTM model, and substituting the training set time series data and the test set time series data into the LSTM model to obtain a training model; S34, testing the test set data using the training model to obtain a trajectory prediction model; S35. Obtain the drifting direction information and position information of the person who falls into the water according to the trajectory prediction model.

6. A rescue system for people falling into water based on Beidou III positioning, characterized in that: The system comprises one or more processors and a memory, wherein the memory stores a program, and when the program is executed by the processor, the following steps are implemented: S1. Determine whether any offshore workers have fallen into the water; S2. If an offshore worker falls into the water, the Beidou rescue beacon terminal is controlled to send the water-falling alarm information to the monitoring platform; S3, the monitoring platform predicts the drifting direction and location information of the drowning person according to the climate information of the water area where the drowning person is located; S4. The monitoring platform calculates a rescue route for the person who has fallen into the water according to the predicted drifting direction information and position information of the person who has fallen into the water, and uses the rescue route as an auxiliary rescue plan.

7. The system for rescuing drowned persons based on Beidou-3 positioning according to claim 1 is characterized in that: When the program is executed by the processor, the following steps are implemented: Step S2 is specifically as follows: The Beidou rescue position indicating beacon terminal sends the drowning alarm information to the monitoring platform through the customized Beidou short message information.

8. The system for rescuing drowned persons based on BeiDou III positioning according to claim 1 is characterized in that: When the program is executed by the processor, the following steps are implemented: The following steps are also included between step S2 and step S3: The monitoring platform sends a water fall alarm to the on-duty personnel, and at the same time, the monitoring platform sends an alarm text message and makes a call to the reserved rescue personnel.

9. The system for rescuing drowned persons based on BeiDou III positioning according to claim 1 is characterized in that: When the program is executed by the processor, the following steps are implemented: Step S4 is specifically as follows: S41, parsing the longitude and latitude information of the person who fell into the water according to the Beidou short message information customized in step S2; S42, obtaining information of ships and rescue teams near the drowning person; S43, calculating the closest ship and rescue team to the drowning person based on the longitude and latitude information of the drowning person and the information of the ship and rescue team near the drowning person; S44. Use the vessel and rescue team closest to the person who fell into the water as an auxiliary rescue plan.

10. The system for rescuing drowned persons based on Beidou-3 positioning according to claim 1, characterized in that: When the program is executed by the processor, the following steps are implemented: Step S3 is specifically as follows: S31, obtaining drift data, and reading training set data and test set data from the drift data; S32, performing a time series processing operation on the training set data and the test set data to obtain training set time series data and test set time series data; S33, establishing an LSTM model, and substituting the training set time series data and the test set time series data into the LSTM model to obtain a training model; S34, testing the test set data using the training model to obtain a trajectory prediction model; S35. Obtain the drifting direction information and position information of the person who falls into the water according to the trajectory prediction model.

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