Navigation and positioning system applied to intelligent health care

Abstract

The invention relates to the technical field of smart wards, in particular to a navigation and positioning system applied to smart health care, and the system body comprises a positioning module, a data fusion algorithm module, a personalized path planning module, an emergency calling module, a navigation module and a real-time monitoring module. According to the navigation and positioning system applied to the intelligent health care, the positioning precision is improved: three positioning technologies of Wi-Fi, Bluetooth and UWB are comprehensively utilized through the data fusion algorithm module, and the positioning precision is improved. And the personalized path planning module provides a customized navigation path according to the health condition and demand of the user, so that the user experience is enhanced. And the emergency calling module can quickly position the user and notify related personnel in emergency, and the real-time monitoring module can analyze the personnel who do not move for a long time and give an alarm, so that the safety is improved. And the real-time monitoring module can guide the old people to participate in activities, so that the mental health of the old people is improved, and the social interaction is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of smart wards, and specifically to a navigation and positioning system applied to smart health care. Background Art

[0002] As the global aging problem becomes increasingly serious, the quality of life and safety of the elderly have received widespread attention. As an important tool to improve the quality of life and safety of the elderly, indoor navigation systems have received increasing attention. Traditional indoor navigation systems mainly rely on outdoor positioning technologies such as GPS, but in indoor environments, due to weak or unavailable signals, the positioning accuracy is low and cannot meet the safety and convenience needs of the elderly. Existing indoor navigation systems mainly use Wi-Fi and Bluetooth positioning technologies. Wi-Fi positioning technology determines the user's location through wireless signals. Its advantage is a wide coverage range, but its disadvantage is low positioning accuracy and susceptibility to signal interference. Bluetooth positioning technology determines the user's location through Bluetooth signals. Its advantage is high positioning accuracy, but its disadvantage is limited coverage and the need to deploy a large number of Bluetooth devices. Although the existing indoor navigation system has solved the indoor positioning problem to a certain extent, there are still some problems. First, the positioning accuracy is insufficient. Since Wi-Fi and Bluetooth positioning technologies are easily affected by signal interference in complex indoor environments, the positioning error is large and cannot meet the needs of the elderly for high-precision positioning. Secondly, the navigation experience is poor. The existing indoor navigation system lacks personalized path planning and cannot provide appropriate navigation guidance according to the physical condition and needs of the elderly, resulting in a poor user experience. Finally, the response to emergency requests is slow. In an emergency, the existing system responds slowly and cannot provide timely assistance, increasing the risk to the elderly. Summary of the invention

[0003] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a navigation and positioning system for smart health care.

[0004] (II) Technical solution To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a navigation and positioning system applied to smart health care, comprising a system body, wherein the system body comprises: a positioning module, a data fusion algorithm module, a personalized path planning module, an emergency assistance module, a navigation module and a real-time monitoring module; The positioning module includes a Wi-Fi positioning module, a Bluetooth positioning module and a UWB positioning module; The data fusion algorithm module: processes data from the Wi-Fi positioning module, the Bluetooth positioning module and the UWB positioning module in real time to ensure positioning accuracy and stability in a dynamic environment; The personalized route planning module provides a customized navigation route according to the user's health status and needs; The emergency help module integrates a one-click help function, which can quickly locate the user and notify relevant personnel in an emergency; Navigation module: Provides positioning by installing outdoor phones in different places and rooms; Real-time monitoring module: By monitoring the user's location and status in real time, the system can promptly detect and respond to user needs and emergencies; The operation steps of the system body include the following steps: Step 1: Install Wi-Fi access points, Bluetooth beacons and UWB base stations on the door station and bedside station to ensure that these devices can cover the entire indoor area; Step 2: Install the APP on a mobile phone, watch or other device to interact with the positioning device installed in the above steps, and the positioning device will upload the user's positioning data in real time; Step 3: The system receives the positioning data and aggregates the data to the data fusion algorithm module for processing; Step 4: The personalized route planning module provides a customized navigation route based on the user's health status and needs; Step 5: The emergency assistance module is enabled to quickly locate the user and notify relevant personnel in an emergency; Step 6: Install outdoor phones in different places and rooms to realize navigation function; Step 7: Monitor module operation in real time to promptly detect and respond to user needs and emergencies.

[0005] The present invention further provides a specific operation method of the data fusion algorithm module, comprising the following steps: Step a: perform data preprocessing, perform denoising on the data of each positioning module, and use a filtering algorithm to remove sensor noise; Step b: Perform feature extraction, extract the RSSI values ​​of Wi-Fi and Bluetooth signals, and model the relationship between signal strength and distance. Use the time difference ranging characteristics of UWB to extract accurate distance information; Step c: weighted average the positioning results of each module according to its signal quality to ensure that more reliable data has a greater impact on the final result; Step d: Predict the current state based on the motion model. Combine the measurement results with the predicted state and use a fusion algorithm to update the position estimate. Step e: dynamically adjust the parameters of the fusion algorithm according to environmental changes; Step f: monitor the positioning accuracy in real time and manually evaluate the accuracy of the positioning result by comparing it with the known position; Preferably, the data fusion algorithm module uses multi-threading or asynchronous processing to ensure that the data of each module can be processed in parallel, thereby improving real-time performance.

[0006] (III) Beneficial effects Compared with the prior art, the present invention provides a navigation and positioning system for smart health care, which has the following beneficial effects: This navigation and positioning system applied to smart health care improves positioning accuracy: through the data fusion algorithm module, it comprehensively utilizes three positioning technologies, Wi-Fi, Bluetooth and UWB, to improve positioning accuracy.

[0007] Enhanced user experience: The personalized route planning module provides customized navigation routes based on the user's health status and needs, enhancing the user experience.

[0008] Improved safety: The emergency assistance module can quickly locate users and notify relevant personnel in an emergency, improving safety.

[0009] Promoting social interaction: The real-time monitoring module can promptly detect and respond to user needs and emergencies, promoting social interaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a flow chart of the structure positioning of the present invention; Figure 2 A flowchart for navigating the structure of the present invention; DETAILED DESCRIPTION

[0011] 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.

[0012] See also Figure 1-2 The system includes positioning module, data fusion algorithm module, personalized path planning module, emergency assistance module, navigation module and real-time monitoring module. Step 1: Install Wi-Fi access points, Bluetooth beacons and UWB base stations at door stations, bedside stations, etc. to ensure that these devices can cover the entire indoor area. Wi-Fi positioning modules, Bluetooth positioning modules and UWB positioning modules obtain user location information through wireless communication.

[0013] Step 2: Install the APP on a mobile phone, watch or other device, and interact with the positioning device installed in step 1. The positioning device will upload the user's location data in real time.

[0014] Step 3: The system receives the positioning data and aggregates the data to the data fusion algorithm module for processing. The data fusion algorithm module processes the data from the Wi-Fi positioning module, Bluetooth positioning module and UWB positioning module in real time to ensure the positioning accuracy and stability in a dynamic environment. The data fusion module processes the data as follows: Perform data preprocessing, denoise the data of each positioning module, and use filtering algorithms (such as Kalman filtering and mean filtering) to remove sensor noise.

[0015] Perform feature extraction, extract the RSSI (received signal strength indication) value of Wi-Fi and Bluetooth signals, and model the relationship between signal strength and distance. Use the time difference ranging (TDOA) feature of UWB to extract accurate distance information.

[0016] The positioning results of each module are weighted averaged according to their signal quality (e.g., signal strength, reliability), ensuring that more reliable data has a greater impact on the final result.

[0017] Predict the current state based on the motion model (e.g., uniform linear motion, acceleration model). Combine the measurement results with the predicted state and use a fusion algorithm to update the position estimate.

[0018] Dynamically adjust the parameters of the fusion algorithm according to environmental changes, such as increasing the weight of UWB when signal interference is severe.

[0019] Monitor positioning accuracy in real time and manually evaluate the accuracy of positioning results by comparing with known locations. Adjust data fusion strategies based on evaluation results to optimize algorithm performance.

[0020] Use multi-threading or asynchronous processing to ensure that data from each module can be processed in parallel to improve real-time performance.

[0021] Step 3: Operation of the personalized path planning module. The personalized path planning module provides customized navigation paths based on the user's health status and needs. For example, if the user's gait is slow, the system will plan a smoother route; if the user needs to avoid certain areas, the system will exclude these areas from the navigation path. The main parameters of the personalized path planning module include the user's health status data, the user's demand data, and the topological data of the indoor environment, which can be obtained through information provided by the user or collected by sensors.

[0022] Step 4: Activate the emergency help module. The emergency help module integrates a one-click help function, which can quickly locate the user and notify relevant personnel in an emergency. For example, when the user presses the emergency help button, the system will immediately obtain the user's current location and notify the user's designated contact or medical institution via SMS or phone call.

[0023] Step 5: Install outdoor phones in different places and rooms. The devices are both electronic doorplates and terminals that help with navigation and positioning. When the elderly pass by different places or rooms, they can select their destinations by swiping their cards. The outdoor phones will automatically use multi-technology fusion positioning based on Bluetooth and UWB to intelligently analyze the route and direction of the destination, and display it on the screen to guide the elderly to the destination.

[0024] Step 6: Real-time monitoring module operation. The real-time monitoring module monitors the user's location and status in real time, so that the system can promptly discover and respond to user needs and emergencies. For example, when the system detects that the user has been staying in a certain location for a long time, it will automatically issue a reminder or notify the user's designated contact. The above are the specific steps of this embodiment. Through these steps, an indoor navigation and positioning system applied to smart health care can be realized to improve positioning accuracy, enhance user experience, improve safety, and promote social interaction.

[0025] In order to explain in detail the possible application scenarios, technical principles, specific schemes that can be implemented, and the purposes and effects that can be achieved, the following is a detailed description of the specific embodiments listed in conjunction with the accompanying drawings. The embodiments described herein are only used to more clearly illustrate the technical solutions of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0026] Reference to "embodiment" herein means that the specific features, structures or characteristics described in conjunction with the embodiment may be included in at least one embodiment of the present application. The term "embodiment" appearing in various places in the specification does not necessarily refer to the same embodiment, nor does it particularly limit its independence or association with other embodiments. In principle, in the present application, as long as there is no technical contradiction or conflict, the various technical features mentioned in the embodiments can be combined in any way to form a corresponding implementable technical solution.

[0027] Unless otherwise defined, the technical terms used in this document have the same meanings as those generally understood by those skilled in the art to which this application belongs; the use of relevant terms in this document is only for describing specific embodiments and is not intended to limit this application.

[0028] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A navigation and positioning system for smart health care, characterized in that: The system comprises a positioning module, a data fusion algorithm module, a personalized path planning module, an emergency assistance module, a navigation module and a real-time monitoring module; The positioning module includes a Wi-Fi positioning module, a Bluetooth positioning module and a UWB positioning module; The data fusion algorithm module: processes data from the Wi-Fi positioning module, the Bluetooth positioning module and the UWB positioning module in real time to ensure positioning accuracy and stability in a dynamic environment; The personalized route planning module provides a customized navigation route according to the user's health status and needs; The emergency help module integrates a one-click help function, which can quickly locate the user and notify relevant personnel in an emergency; Navigation module: Provides positioning by installing outdoor phones in different places and rooms; Real-time monitoring module: By monitoring the user's location and status in real time, the system can promptly detect and respond to user needs and emergencies; The operation steps of the system body include the following steps: Step 1: Install Wi-Fi access points, Bluetooth beacons and UWB base stations on the door station and bedside station to ensure that these devices can cover the entire indoor area; Step 2: Install the APP on a mobile phone, watch or other device to interact with the positioning device installed in the above steps, and the positioning device will upload the user's positioning data in real time; Step 3: The system receives the positioning data and aggregates the data to the data fusion algorithm module for processing; Step 4: The personalized route planning module provides a customized navigation route based on the user's health status and needs; Step 5: The emergency assistance module is enabled to quickly locate the user and notify relevant personnel in an emergency; Step 6: Install outdoor phones in different places and rooms to realize navigation function; Step 7: Monitor module operation in real time to promptly detect and respond to user needs and emergencies.

2. A navigation and positioning system for smart health care according to claim 1, characterized in that: The specific operation method of the data fusion algorithm module includes the following steps: Step a: perform data preprocessing, perform denoising on the data of each positioning module, and use a filtering algorithm to remove sensor noise; Step b: Perform feature extraction, extract the RSSI values ​​of Wi-Fi and Bluetooth signals, and model the relationship between signal strength and distance. Use the time difference ranging characteristics of UWB to extract accurate distance information; Step c: weighted average the positioning results of each module according to its signal quality to ensure that more reliable data has a greater impact on the final result; Step d: Predict the current state based on the motion model. Combine the measurement results with the predicted state and use a fusion algorithm to update the position estimate. Step e: dynamically adjust the parameters of the fusion algorithm according to environmental changes; Step f: monitor the positioning accuracy in real time and manually evaluate the accuracy of the positioning result by comparing it with the known position.

3. A navigation and positioning system for smart health care according to claim 2, characterized in that: The data fusion algorithm module uses multi-threading or asynchronous processing to ensure that the data of each module can be processed in parallel, thereby improving real-time performance.

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