Ward nursing positioning method based on swan distributed capability

Abstract

The invention discloses a ward nursing positioning method based on a swan gap distributed capability. The ward nursing positioning method comprises the following steps: S1, configuring a bedside machine with a built-in swan gap system and a Bluetooth function beside each sickbed; through the cooperation of the bedside machine, the built-in swan gap system of the management machine and the Bluetooth module electronic tag, a hospital management layer can easily obtain the specific activity track and the key index of the staying time length of each nurse, so that the nursing process execution condition is better supervised, the human resource configuration is optimized, the overall service level is improved, and meanwhile, the management efficiency is improved. All operations can be recorded in detail so as to facilitate follow-up auditing tracking, compared with traditional GPS positioning, the problem that indoor positioning is inaccurate is effectively solved, only the swan-gap system distributed capacity and the Bluetooth function of equipment are needed, extra hardware cost does not need to be added, and the use requirement is met.

Description

Technical Field

[0001] The present invention relates to the technical field of ward nursing, and particularly to a ward nursing positioning method based on HarmonyOS distributed capabilities. Background Art

[0002] In the traditional medical environment, in order to ensure that patients receive timely and effective care, hospitals usually require nurses to regularly patrol the wards and perform necessary nursing work on each patient. However, how to accurately determine whether nurses arrive at the bedside on time and record the time of their arrival and departure has always been a difficult problem, which is not only related to the monitoring of service quality but also involves the issues of patient safety and satisfaction. The common solutions on the market mainly include GPS positioning technology and UWB (Ultra-Wideband) indoor positioning systems. Although these technologies can provide location information to a certain extent, they each have limitations: (1) The GPS positioning solution is mature and low-cost, but the signal attenuation is severe in the indoor environment, resulting in a significant reduction in positioning accuracy; (2) UWB positioning provides higher accuracy, but its implementation requires additional purchase of expensive hardware devices, increasing the operating cost. Considering the above situation, the present application proposes a ward nursing positioning method based on HarmonyOS distributed capabilities. Summary of the Invention

[0003] Based on the technical problems existing in the background art, the present invention proposes a ward nursing positioning method based on HarmonyOS distributed capabilities.

[0004] A ward nursing positioning method based on HarmonyOS distributed capabilities proposed by the present invention includes the following steps:

[0005] S1: Configure a bedside machine with a built-in HarmonyOS and Bluetooth function beside each hospital bed;

[0006] S2: Equip each nurse responsible for nursing work in a specific area with a small and lightweight Bluetooth module electronic tag, which continuously emits a Bluetooth signal with a unique identification code via Bluetooth;

[0007] S3: Install a management machine with a built-in HarmonyOS at the nurse station;

[0008] S4: When the nurse walks in the ward area, the Bluetooth signal emitted by the Bluetooth module electronic tag carried by the nurse will be received by the nearby bedside machine. The bedside machine measures the received Bluetooth signal strength value (RSSI), and thus can obtain information about the relative position of the Bluetooth module electronic tag;

[0009] S5: Each bedside machine periodically scans the surrounding Bluetooth signals and synchronizes the unique identification code, acquisition time, and the corresponding Bluetooth signal strength value (RSSI) of the collected Bluetooth module electronic tag to the management machine through the distributed soft bus capability of the HarmonyOS;

[0010] S6: The management machine performs preliminary screening on the received data to remove outliers or noise interference.

[0011] S7: Apply the classical triangulation method to the data processed in S6 to determine the position of the target point.

[0012] S8: Based on the determined position of the target point, the hospital management can easily obtain key indicators of the specific activity trajectories and residence durations of each nurse. Meanwhile, the management machine will record all operations in detail for subsequent audit tracking.

[0013] Preferably, in S1, a high-precision and low-power Bluetooth module is integrated inside the bedside machine, supporting the BLE 5.0 standard, ensuring a long communication distance and low energy consumption.

[0014] Preferably, in S2, the Bluetooth module electronic tag adopts a rechargeable design and ensures long-term use through the low-power mode. Its data is encrypted during transmission.

[0015] Preferably, in S7, the triangulation method uses the weighted centroid algorithm to calculate the position of the target point. When calculating, it calculates the coordinates of the unknown point based on the triangular relationship formed by at least three known position points (i.e., the bedside machines) and the unknown point (i.e., the position where the electronic tag carried by the nurse is located).

[0016] Preferably, in S4, each bedside machine is equivalent to a "base station" and can sense the difference in Bluetooth signal strength from electronic tags in different directions.

[0017] Preferably, in S1, the bedside machine can serve as an information interaction platform during the daily nursing process and simultaneously undertakes the task of collecting Bluetooth signals in the surrounding environment.

[0018] Through the cooperation of the HarmonyOS built into the bedside machine and the management machine and the Bluetooth module electronic tag, the hospital management can easily obtain key indicators of the specific activity trajectories and residence durations of each nurse, thereby better supervising the execution of the nursing process, optimizing the allocation of human resources, and improving the overall service level. Meanwhile, all operations will be recorded in detail for subsequent audit tracking. Compared with traditional GPS positioning, it effectively solves the problem of inaccurate indoor positioning and only needs to utilize the distributed capabilities of the device's own HarmonyOS and the built-in Bluetooth function without incurring additional hardware costs to meet the usage requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flowchart of a ward nursing positioning method based on the distributed capabilities of HarmonyOS proposed by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The present invention will be further explained below in conjunction with specific embodiments.

[0021] Embodiment

[0022] Refer to Figure 1 , this embodiment proposes a ward nursing positioning method based on HarmonyOS distributed capabilities, including the following steps:

[0023] S1: Configure a bedside machine with HarmonyOS built-in and Bluetooth function beside each hospital bed. The bedside machine integrates a high-precision and low-power Bluetooth module inside, which supports the BLE 5.0 standard, ensuring a longer communication distance and lower energy consumption. Moreover, the bedside machine can serve as an information interaction platform during daily nursing and is also responsible for collecting Bluetooth signals in the surrounding environment;

[0024] S2: Equip each nurse responsible for nursing work in a specific area with a small and lightweight Bluetooth module electronic tag, which continuously emits Bluetooth signals with a unique identification code via Bluetooth, facilitating detection by nearby bedside machines. The Bluetooth module electronic tag adopts a rechargeable design and ensures long-term use through a low-power mode. Its data is encrypted during transmission to prevent privacy leakage;

[0025] S3: Install a management machine with HarmonyOS built-in at the nurse station;

[0026] S4: When the nurse walks in the ward area, the Bluetooth signals emitted by the Bluetooth module electronic tag carried by the nurse will be received by nearby bedside machines. The bedside machines measure the received Bluetooth signal strength value (RSSI), and then information about the relative position of the Bluetooth module electronic tag can be obtained. Each bedside machine is equivalent to a "base station" and can sense the difference in Bluetooth signal strength from electronic tags in different directions;

[0027] S5: Each bedside machine will periodically scan the surrounding Bluetooth signals and synchronize the unique identification code, collection time, and corresponding Bluetooth signal strength value (RSSI) of the collected Bluetooth module electronic tag to the management machine through the distributed soft bus capability of HarmonyOS;

[0028] S6: The management machine conducts preliminary screening on the received data to remove outliers or noise interference;

[0029] S7: Apply the classic triangulation method to the data processed in S6 to determine the position of the target point. The triangulation method uses the weighted centroid algorithm to calculate the position of the target point. When calculating, it calculates the coordinates of the unknown point based on the triangular relationship formed by at least three known position points (i.e., bedside machines) and the unknown point (i.e., the position where the electronic tag carried by the nurse is located);

[0030] S8: Based on the determined target point positions, hospital management can easily obtain key indicators of the specific activity trajectories and residence durations of each nurse. Meanwhile, management has the opportunity to record all operations in detail for subsequent audit tracking.

[0031] As described above, the above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes should be covered within the protection scope of the present invention.

Claims

1. A ward nursing positioning method based on Hongmeng distributed capabilities, characterized in that: The following steps are involved: S1: A bedside machine with built-in Hongmeng system and Bluetooth function is installed next to each bed; S2: Each nurse responsible for nursing work in a specific area is equipped with a small and lightweight Bluetooth module electronic tag, which continuously transmits a Bluetooth signal with a unique identification code through Bluetooth; S3: Install a management machine with built-in Hongmeng system at the nurse station; S4: When a nurse walks around in the ward, the Bluetooth signal emitted by the Bluetooth module electronic tag she carries will be received by the nearby bedside machine. The bedside machine measures the received Bluetooth signal strength value, and then obtains information about the relative position of the Bluetooth module electronic tag; S5: Each bedside machine will periodically scan the surrounding Bluetooth signals, and synchronize the unique identification code, collection time and corresponding Bluetooth signal strength value of the Bluetooth module electronic tag collected to the management machine through the distributed soft bus capabilities of the Hongmeng system; S6: The management machine performs preliminary screening on the received data to remove abnormal values ​​or noise interference; S7: applying the classical triangulation method to the data processed in S6 to determine the location of the target point; S8: Based on the determined target point locations, hospital management can easily obtain key indicators of each nurse's specific activity trajectory and length of stay. At the same time, management will keep detailed records of all operations for subsequent audit tracking.

2. According to a method for ward nursing positioning based on Hongmeng distributed capabilities according to claim 1, it is characterized in that: In the S1, the bedside machine is integrated with a high-precision low-power Bluetooth module, which supports the BLE 5.0 standard, ensuring a longer communication distance and lower energy consumption.

3. According to a method for ward nursing positioning based on Hongmeng distributed capabilities according to claim 1, it is characterized in that: In S2, the Bluetooth module electronic tag adopts a rechargeable design and ensures long-term use through a low-power mode. It is encrypted when transmitting data.

4. According to a method for ward nursing positioning based on Hongmeng distributed capabilities according to claim 1, it is characterized in that: In S7, the triangulation method uses a weighted centroid algorithm to calculate the position of the target point, and the coordinates of the unknown point are calculated based on the triangular relationship formed between at least three known position points (i.e., the bedside machine) and the unknown point (i.e., the position of the electronic tag carried by the nurse).

5. According to a method for ward nursing positioning based on Hongmeng distributed capabilities according to claim 1, it is characterized in that: In the S4, each bedside machine is equivalent to a "base station" and can sense the difference in Bluetooth signal strength of electronic tags from different directions.

6. According to a method for ward nursing positioning based on Hongmeng distributed capabilities according to claim 1, it is characterized in that: In S1, the bedside machine can be used as an information interaction platform in the daily nursing process, and at the same time is responsible for collecting Bluetooth signals in the surrounding environment.

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