An intelligent calling device and control system for a nursing home

Abstract

The application relates to a nursing home intelligent calling device and control system, which comprises a calling terminal layer, a nursing terminal layer, a cloud platform and an edge communication gateway. The calling terminal layer comprises bedside calling terminals, toilet calling terminals, wearable calling terminals and public area calling terminals. The nursing terminal layer comprises nursing station display terminals, mobile nursing terminals and management control terminals. The cloud platform is used for realizing calling time management, old person file management, nursing staff scheduling management and historical data storage. The edge communication gateway is internally provided with a protocol conversion unit, is used for receiving calling data uploaded by the calling terminal layer, and sends the calling data to the nursing terminal layer and the cloud platform after communication protocol conversion, can cover all areas of old person daily activities, ensures that the old people can quickly trigger calling in any position, and compared with a traditional calling system, can reduce calling response waiting time and improve calling guarantee capacity in an unexpected scene.

Description

Technical Field

[0001] This invention relates to the field of elderly care call equipment technology, and in particular to an intelligent call device and control system for nursing homes. Background Technology

[0002] With the deepening of population aging, the number of elderly people in nursing homes, care homes, and rehabilitation centers is gradually increasing. Caregivers need to simultaneously handle the daily care, emergency calls, and emergency rescue needs of a large number of elderly people. Traditional nursing home call systems mainly rely on bedside buttons, room buzzers, or centralized display screens at care stations. When an elderly person presses a call button, the care station staff manually check the call location and arrange for caregivers to handle it. Although the above-mentioned traditional call methods can achieve basic call functions, the following problems still exist in actual use: the call information transmission path is single, and if the care station is unattended, it is easy to cause call delays; call events cannot be automatically classified according to their urgency, for example, there is no obvious difference in the display method between a normal drinking water call and a fall rescue call; caregivers cannot receive call information in a timely manner while moving, resulting in low response efficiency; when the nursing home's wireless network or external network is abnormal, the traditional system lacks offline forwarding and local caching capabilities, which can easily cause call loss; after the call is processed, there is no complete closed-loop record, which is not conducive to subsequent care quality traceability and management analysis. Therefore, a new intelligent call device and control system for nursing homes is needed to realize multi-source collection, intelligent classification, automatic dispatch, offline support, and closed-loop management of call information. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent call device and control system for nursing homes to solve the problems existing in the prior art.

[0004] The above-mentioned technical objective of the present invention is achieved through the following technical solution: A smart call device and control system for nursing homes includes a call terminal layer comprising bedside call terminals, bathroom call terminals, wearable call terminals, and public area call terminals; a nursing terminal layer comprising nursing station display terminals, mobile nursing terminals, and management and control terminals; a cloud platform for call time management, elderly person file management, nursing staff scheduling management, and historical data storage; and an edge communication gateway, which has a built-in protocol conversion unit for receiving call data uploaded by the call terminal layer and converting the call data according to a communication protocol before sending it to the nursing terminal layer and the cloud platform.

[0005] By adopting the above technical solution, the elderly can initiate calls through bedside call terminals, bathroom call terminals, or wearable call terminals. The call information first enters the edge communication gateway, which uniformly parses the data of different communication protocols, and then generates a standard call event based on the call type and the elderly's care level. Finally, the standard call event is pushed to the nursing station display terminal, mobile nursing terminal, and cloud platform. This setup makes call information no longer dependent on a single nursing station display. Even when caregivers are on mobile rounds, they can receive call tasks in a timely manner through mobile nursing terminals. Corresponding call terminals are deployed in different scenarios in the nursing home, covering all areas of the elderly's daily activities, ensuring that the elderly can quickly trigger calls from any location. Compared with the traditional manual dispatch call system, it effectively reduces the call response waiting time and further improves the call support capability in case of emergencies.

[0006] In a further embodiment, the bedside calling terminal includes a one-button calling module, a voice acquisition module, a status indication module, and a wireless communication module, and the wearable calling terminal includes a positioning module, a heart rate detection module, a fall detection module, and a low-power communication module.

[0007] By adopting the above technical solutions, the bedside call terminal can not only meet the basic needs of the elderly to trigger a call with one click, but also collect the elderly's voice requests and send them to caregivers, so that caregivers can understand the elderly's needs in advance. The wearable call terminal can collect the elderly's vital signs and activity status in real time. When it detects that the elderly have fallen or have an abnormal heart rate, it can automatically trigger an emergency call without the need for manual operation by the elderly, thus improving the timeliness of calls in emergency situations.

[0008] In a further embodiment, the mobile nursing terminal in the nursing terminal layer is used to receive call tasks issued by the cloud platform and the edge communication gateway, and to receive, dispatch, confirm completion, and report anomalies for the tasks.

[0009] By adopting the above technical solutions, nursing staff can receive and process call tasks anytime and anywhere, without having to stay at the nursing station. They can handle new call requests while making rounds, effectively improving the utilization efficiency of nursing resources. At the same time, the entire call processing process can be operated and recorded on mobile terminals, ensuring that the entire call event processing is traceable.

[0010] This invention also discloses an intelligent call device and control system for nursing homes, comprising the following steps: Step S1: Establish the binding relationship between the elderly person's file information and the call terminal; Step S2: The call terminal layer collects call trigger information and sends the call trigger information to the edge communication gateway; Step S3: The edge communication gateway performs protocol parsing and priority determination on the call trigger information to generate a standard call event; Step S4: Send the standard call event to the nursing station display terminal, mobile nursing terminal, and cloud platform; Step S5: Intelligently dispatch standard call events based on the location, duty status, and task load of nursing staff; Step S6: After the nursing staff completes the treatment, a closed-loop treatment record is generated and synchronized to the cloud platform.

[0011] By adopting the above technical solution, the entire call processing process can automatically complete the classification, dispatch, and recording without manual intervention. Compared with the traditional manual dispatch mode, it reduces intermediate transmission links and shortens the overall call response time. At the same time, call events of different urgency levels are assigned different priorities, which can ensure that emergency help events are handled first and avoid delays in rescue due to unclear classification. After the processing is completed, the automatically generated closed-loop record is stored on the cloud platform, which facilitates subsequent traceability, management and analysis of nursing quality.

[0012] In a further embodiment, the standard call events in step S3 further include ordinary calls, emergency calls, fall calls, calls with prolonged no response, and calls with abnormal vital signs.

[0013] By adopting the above technical solution, different types of call events can be clearly classified. Different levels of call events will be alerted in different ways on the terminal. Ordinary calls will be alerted with regular vibration and text, while emergency calls will be alerted with a high-decibel ringtone pop-up. This will allow caregivers to quickly distinguish the urgency of the call, prioritize emergency rescue events, and avoid missing the best rescue time.

[0014] In a further embodiment, step S5 further includes: Step S51: Obtain the room number, bed number, floor number, and area number of the calling terminal in the calling terminal layer; Step S52: Obtain the real-time location, shift group, and idle status of the current nursing staff; Step S53: Calculate the distance between the nurse and the call location, and filter out the candidate nurses who meet the conditions based on the current task load and the area of ​​responsibility. Sort them according to the priority from the nearest to the farthest and the task load from the lowest to the highest, and dispatch the call event to the candidate nurse who is ranked first. If the nurse does not respond within the set time, it will be automatically transferred to the next candidate nurse. Step S54: If all candidate nurses fail to respond to the call within the set time, the call event will be escalated to the management control terminal and the nursing station display terminal, and the management personnel will manually intervene and dispatch the order.

[0015] By adopting the above technical solution, the optimal dispatch target can be automatically selected by combining three dimensions: location, load, and area of ​​responsibility. This reduces the subjective judgment error of manual dispatch and ensures that nursing staff who are closer and have more free time can receive tasks in a timely manner. At the same time, an automatic reassignment and escalation reminder mechanism is set up to avoid situations where no one responds after a call is issued, further ensuring the timeliness of call event processing.

[0016] In a further embodiment, the edge communication gateway in step S3 further includes an offline caching module built into the edge communication gateway. When the cloud platform connection is abnormal, the offline caching module stores the call time in a local cache queue and directly sends the call information to the nursing station display terminal and mobile nursing terminal in the local area network.

[0017] By adopting the above technical solution, even if the external network of the nursing home fails, the call information will not be lost. The edge communication gateway can complete the reception, conversion and push of call events locally, ensuring that the call process can still operate normally and avoiding security risks caused by network failure.

[0018] In a further embodiment, the cloud platform in step S4 further includes a call data analysis module built into the cloud platform. The call data analysis module is used to count the frequency of elderly people's calls, nursing response time, abnormal call ratio and nursing staff workload, and generate nursing management suggestions based on the statistical results.

[0019] By adopting the above technical solutions, nursing home managers can intuitively understand the problems in daily care through visualized statistical data. They can adjust the nursing staff scheduling and regional division of labor according to the call frequency of the elderly in different areas and the workload of nursing staff. At the same time, they can discover the changing trends of the elderly's health status from abnormal call data, adjust the care plan in advance, and further improve the overall quality of nursing home care management.

[0020] In summary, the present invention has the following beneficial effects: This device combines multi-scenario coverage call terminals with hierarchical nursing receiving terminals, along with the edge processing capabilities of an edge communication gateway. It retains the traditional bedside calling experience while adding a wearable terminal that can automatically trigger abnormal calls, adapting to the calling needs of elderly individuals with different physical conditions and usage habits. It achieves automatic grading and intelligent dispatching of call events, significantly shortening response time compared to traditional manual dispatching and ensuring that emergency calls are prioritized. An offline caching and local forwarding mechanism is added to ensure the call process continues to operate normally even during external network failures, preventing call information loss and improving system reliability. It automatically generates closed-loop processing records throughout the process, and leveraging the data analysis capabilities of the cloud platform, it can output referable nursing management suggestions to help nursing homes optimize nursing schedules and care plans, thereby improving the overall level of elderly care management. Attached Figure Description

[0021] Figure 1 This is a topology diagram of the intelligent call device and control system for nursing homes of the present invention; Figure 2 This is a schematic diagram illustrating the connection relationship between the call terminal layer and the edge communication gateway of the present invention; Figure 3 This is a flowchart illustrating the control method of the present invention; Figure 4 This is a flowchart illustrating the call event priority determination process of this invention; Figure 5 This is a flowchart of the nursing task assignment process of the present invention.

[0022] In the diagram, 1. Bedside call terminal; 2. Toilet call terminal; 3. Wearable call terminal; 4. Fall detection terminal; 5. Edge communication gateway; 6. Nursing station display terminal; 7. Mobile nursing terminal; 8. Management and control terminal; 9. Cloud platform. Detailed Implementation

[0023] The present invention will be further described in detail below with reference to the accompanying drawings.

[0024] Identical parts are indicated by the same reference numerals. It should be noted that the terms "front," "rear," "left," "right," "upper," and "lower" used in the following description refer to the attached figures. Figure 1 In this specification, the terms "bottom surface" and "top surface," "inner" and "outer" refer to the direction towards / away from the geometry of a specific component, respectively. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating / implying relative importance / or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly / implicitly include one or more of that feature. In the description of this specification, "multiple" means two or more, unless otherwise explicitly and specifically defined by the direction of the center.

[0025] Example 1: like Figure 1 - Figure 2 As shown, a smart call device and control system for nursing homes includes a call terminal layer, an edge communication gateway 5, a nursing terminal layer, and a cloud platform 9. The call terminal layer includes a bedside call terminal 1, a bathroom call terminal 2, a wearable call terminal 3, a fall detection terminal 4, and a public area call terminal. The bedside call terminal 1 is installed on the side of the elderly person's bed, the bathroom call terminal 2 is installed on the bathroom wall or near the handrail, the wearable call terminal 3 is worn by the elderly person, and the fall detection terminal 4 is integrated into the wearable call terminal 3; the edge communication gateway 5 is set in the weak current room of the nursing home floor, near the nursing station, or at the floor communication node, and is used to aggregate data sent by multiple call terminals on the same floor or in the same area. The edge communication gateway 5 is equipped with a protocol conversion unit, a priority judgment unit, an offline caching unit, and a local forwarding unit. The protocol conversion unit is used to convert LoRa, BLE, ZigBee, Wi-Fi, or NB-IoT data into unified MQTT or CoAP format data. The priority judgment unit is used to determine the urgency of the call according to the call type. The offline caching unit is used to store call events that have not been uploaded when the network is abnormal. The local forwarding unit is used to directly push call information to the nursing station display terminal 6 and the mobile nursing terminal 7 when the cloud platform 9 is unavailable. The nursing terminal layer includes nursing station display terminals 6, mobile nursing terminals 7, and management control terminals 8. Nursing station display terminals 6 display call events for the entire hospital or the specific floor. Mobile nursing terminals 7, carried by nursing staff, receive, confirm, and process call tasks. Management control terminals 8 are used by head nurses or administrators to view call statistics, nursing staff status, and abnormal event records. The cloud platform 9 is used for unified data management, specifically including elderly patient record management, call event management, nursing staff management, shift management, task assignment management, and data statistical analysis. Elderly patient record management records the patient's name, bed number, nursing level, emergency contact, past medical history, and bound terminal number. Call event management records the call occurrence time, call source, call level, assignment recipient, and processing result. Nursing staff management records the nursing staff's on-duty status, permission level, and task load.

[0026] Example 2: like Figure 3 As shown, a control method for a smart call device and control system in a nursing home includes the following steps: Step S1: Establish the binding relationship between the elderly person's file information and the call terminal; Before use, the administrator enters the elderly person's information through the management control terminal 8, binds the elderly person's bed number to the bedside call terminal 1, and binds the elderly person's identity information to the wearable call terminal 3. After the binding is completed, the cloud platform 9 generates a unique identifier for the elderly person and synchronizes the unique identifier to the corresponding edge communication gateway 5 to complete the information pairing between the device and the person. Step S2: The call terminal layer collects call trigger information and identifies the initial call type based on the terminal type and triggering method. If the elderly manually trigger the bedside call terminal 1 or the bathroom call terminal 2, it is directly marked as a manual call. If the wearable call terminal 3 detects that the elderly have fallen or their heart rate exceeds the threshold, it is automatically marked as an abnormal automatic call. The collected location information and vital sign data are also sent as call trigger information to the edge communication gateway 5 of the corresponding area. The call terminal collects call trigger information and sends it to the edge communication gateway 5. All call terminals upload the call trigger information, which includes the terminal number, trigger type, collected data, and location information, to the edge communication gateway 5 of the area in real time through the built-in wireless communication module. Step S3: Edge communication gateway 5 converts the received call trigger information into a standardized format through the protocol conversion unit. Then, the priority judgment unit matches the corresponding call level with the trigger type and collected data, classifying them into ordinary calls, emergency calls, fall calls, long-term unresponsive calls, and abnormal vital signs calls. Finally, a standard call event conforming to the transmission standard is generated. If the cloud platform connection is normal at this time, the standard call event is uploaded to the cloud platform and simultaneously sent to the nursing station display terminal on this floor. If the cloud platform connection is abnormal, the offline caching unit stores the standard call event in the local cache queue, triggering the local forwarding unit to directly push the call information to the mobile nursing terminal and nursing station display terminal in the local area network. Edge communication gateway 5, relying on its built-in protocol conversion unit, receives data uploaded by different call terminals, first parses the terminal number, elderly person identifier, trigger time, trigger type, and signal strength, and then encapsulates it into a standard call event in a unified format. The standard call event includes at least the event number, elderly person number, bed number, area number, call level, trigger time, and terminal status. In step S4, the edge communication gateway 5 simultaneously sends the generated standard call event to the nursing station display terminal 6 on this floor, the mobile nursing terminal 7 carried by the caregiver, and the remote cloud platform 9. The nursing station display terminal 6 will highlight the call event in real time at the corresponding bed location on the corresponding floor. The mobile nursing terminal 7 will trigger a corresponding alert based on the call level. Upon receiving the call event, the cloud platform 9 will update the corresponding elderly person's call event record and archive it after subsequent dispatch processing. For ordinary call events, the edge communication gateway 5 first uploads the event to the cloud platform 9, which then dispatches it based on the caregiver's status. For emergency call events, the edge communication gateway 5 simultaneously sends information to the nursing station display terminal 6, the mobile nursing terminal 7 in this area, and the cloud platform 9, ensuring that caregivers receive emergency assistance alerts immediately, shortening the response time for emergency events, and avoiding the impact of cloud platform 9 transmission delays on local response. Step S5: Obtain the room number, bed number, floor number, and area number of the calling terminal in the calling terminal layer. Calculate the distance between the nurse and the calling location based on the nurse's location, shift status, and task load. Combine this with the current task load and responsible area to filter out qualified candidate nurses. Sort them according to priority from closest to furthest and task load from lowest to highest, and dispatch the call event to the first candidate nurse. If the nurse does not respond within a set time, the call is automatically transferred to the next candidate nurse. Select suitable nurses and complete the dispatch to ensure that the call event is handled in a timely manner. Simultaneously, start a timeout response timer. If the nurse confirms acceptance of the task within the specified time, the timer stops and the nurse's task load data is updated. If no confirmation response is received after the set time, the dispatch is automatically withdrawn and dispatched to the next candidate nurse in the sorted order. If none of the candidate nurses confirm acceptance, the call event is automatically escalated, and a reminder is simultaneously pushed to the management control terminal and nursing station display terminal for manual intervention by the on-duty management personnel to ensure that no call event requiring processing is missed. Step S6: After the caregiver completes the treatment, a closed-loop treatment record is generated and synchronized to the cloud platform 9. After the caregiver arrives at the elderly person's location, they click "arrival confirmation" on the mobile nursing terminal 7 and fill in the treatment result after the treatment is completed. The mobile nursing terminal 7 sends the treatment result to the cloud platform 9, and the cloud platform 9 changes the call event status from "processing" to "completed" and records the response time and treatment description.

[0027] Example 3: like Figure 4As shown, after receiving call data, the edge communication gateway 5 first determines the call source. If the call source is the bedside call terminal 1 and the triggering method is a normal button, the event is marked as a normal call. If the call source is the bathroom call terminal 2, the event is marked as an emergency call. If the call source is the wearable call terminal 3 and the accelerometer detects a sudden change in posture followed by a prolonged period of stillness, the event is marked as a fall call. If the heart rate data uploaded by the wearable call terminal 3 exceeds a preset threshold, the event is marked as a call indicating abnormal vital signs. In terms of priority ranking, calls for abnormal vital signs and falls are Level 1 calls, calls to the bathroom are Level 2 calls, regular bedside calls are Level 3 calls, and calls that do not respond within a time limit are escalation calls. Priority is ranked from high to low, and high-priority calls will be pushed to remind and occupy the response channel first, ensuring that emergency calls can trigger reminders as soon as possible. After a Level 1 call is triggered, the system will push notifications simultaneously through 7 strong reminders: audible and visual alarms, nursing station pop-ups, and mobile nursing terminals. After a Level 2 call is triggered, the system will push notifications to nursing staff in the corresponding area and nursing station display terminals. After a Level 3 call is triggered, the system will prioritize pushing notifications to the nursing staff responsible for that bed. If a Level 3 call is not answered within 60 seconds, it is escalated to a timeout call; if a Level 2 call is not answered within 30 seconds, it is escalated and pushed to the head nurse; if a Level 1 call is not answered within 15 seconds, an escalation call is triggered and simultaneously pushed to all on-duty nursing staff and nursing management personnel, requiring priority handling.

[0028] Example 4: like Figure 5 As shown, when dispatching a call event, the cloud platform 9 calculates the dispatch score based on the following parameters: the first parameter is the distance weight, the closer the distance, the higher the score; the second parameter is the task load weight, the fewer the number of currently unfinished tasks, the higher the score; the third parameter is the nursing level matching weight, the more the nursing staff's permission level matches the elderly person's nursing level, the higher the score; the fourth parameter is the area responsibility weight, whether the nursing staff belongs to the responsible nursing staff in the elderly person's area. The distribution score can be calculated as follows: Overall distribution score = distance weight × 0.35 + task load weight × 0.25 + nursing level matching weight × 0.25 + area responsibility weight × 0.15; After the system obtains the comprehensive dispatch score of all on-duty nursing staff, it selects the nursing staff with the highest score as the first recipient and pushes the call event to their mobile nursing terminal 7. If the first recipient does not accept the order within a preset time, the system will forward the call event to the nursing staff with the second highest score and synchronize the forwarding record to the cloud platform 9; To prevent nurses from accidentally triggering incorrect task statuses, the mobile nursing terminal 7 requires location verification after receiving an order. When a nurse arrives near the call location, the system confirms their arrival via Bluetooth beacon, Wi-Fi positioning, or QR code scanning. Only after arrival confirmation can the nurse submit the completion message.

[0029] Example 5: In the actual use environment of nursing homes, the external network may be temporarily interrupted. In order to avoid the loss of call events due to network abnormalities, the edge communication gateway 5 has a built-in offline caching unit and a local forwarding unit. When the edge communication gateway 5 detects that the heartbeat connection between the edge communication gateway 5 and the cloud platform 9 is interrupted, the edge communication gateway 5 automatically enters the offline working mode. In offline mode, edge communication gateway 5 continues to receive data uploaded by the call terminal layer and writes call events into a local cache queue. The local cache queue is sorted according to call priority, with first-level calls being written and forwarded first. Edge communication gateway 5 also sends call events to nursing station display terminal 6 and mobile nursing terminal 7 via the local area network, enabling nursing staff to still receive call information within the hospital. Once the network connection is restored, the edge communication gateway 5 will batch upload all offline cached but unuploaded call events to the cloud platform 9 in chronological order, completing the synchronization and supplementation of offline data, ensuring the integrity of the data stored on the cloud platform, and preventing the loss of any call event records due to network interruption. The entire process data will be fully preserved for subsequent traceability and analysis. If data with the same event number already exists in the cloud platform 9, it will be deduplicated and merged according to the event update time to avoid duplicate generation of call records.

[0030] Example 6: The cloud platform 9 incorporates a call data analysis module. This module tracks elderly call frequency, nursing response time, emergency call ratio, overdue call ratio, and nursing staff workload by day, week, and month. If an elderly person experiences a significant increase in calls within a short period, the system can generate a status monitoring reminder. If a floor experiences a high call volume within a fixed time period, the system can prompt management to increase the number of nursing staff during that time period. If a nursing staff member consistently has a high response time, the system can prompt the head nurse to adjust scheduling or optimize workflows. Furthermore, the cloud platform 9 generates nursing tags based on the type of elderly person's calls. For example, frequent nighttime calls generate a nighttime monitoring tag, frequent bathroom calls generate a toilet assistance tag, and fall risk events generate a fall prevention monitoring tag. Management can adjust elderly care plans based on these tags, optimize nursing resource allocation, improve the overall quality of nursing services and response efficiency in the nursing home, and provide data support for operational decisions.

[0031] In the embodiments disclosed in this invention, the terms "installation," "connection," "linking," and "fixing" should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; "linking" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in the embodiments disclosed in this invention according to the specific circumstances.

[0032] This specific embodiment is merely an explanation of the present invention and is not intended to limit the invention. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they are within the scope of the claims of the present invention.

Claims

1. A smart call device and control system for nursing homes, characterized in that, include: The call terminal layer includes a bedside call terminal (1), a bathroom call terminal (2), a wearable call terminal (3), and a public area call terminal; The nursing terminal layer includes a nursing station display terminal (6), a mobile nursing terminal (7), and a management control terminal (8). The cloud platform (9) is used to realize call time management, elderly file management, nursing staff scheduling management and historical data storage; The edge communication gateway (5) has a built-in protocol conversion unit. The edge communication gateway (5) is used to receive call data uploaded by the call terminal layer and send the call data to the nursing terminal layer and the cloud platform (9) after conversion according to the communication protocol.

2. The intelligent call device and control system for nursing homes according to claim 1, characterized in that: The bedside call terminal (1) includes a one-button call module, a voice acquisition module, a status indication module and a wireless communication module, and the wearable call terminal (3) includes a positioning module, a heart rate detection module, a fall detection module and a low-power communication module.

3. The intelligent call device and control system for nursing homes according to claim 1, characterized in that: The mobile nursing terminal (7) in the nursing terminal layer is used to receive call tasks issued by the cloud platform (9) and the edge communication gateway (5), and to receive, dispatch, confirm completion and report abnormalities for the tasks.

4. A control method for a smart call device in a nursing home according to any one of claims 1-3, characterized in that, Includes the following steps: Step S1: Establish the binding relationship between the elderly person's file information and the call terminal; Step S2: The call terminal layer collects call trigger information and sends the call trigger information to the edge communication gateway (5); Step S3: The edge communication gateway (5) performs protocol parsing and priority judgment on the call trigger information and generates a standard call event; Step S4: Send the standard call event to the nursing station display terminal (6), the mobile nursing terminal (7), and the cloud platform (9); Step S5: Intelligently dispatch standard call events based on the location, duty status, and task load of nursing staff; Step S6: After the nursing staff completes the treatment, a closed-loop treatment record is generated and synchronized to the cloud platform (9).

5. The control method according to claim 4, characterized in that: The standard call events in step S3 further include ordinary calls, emergency calls, fall calls, calls with prolonged no response, and calls with abnormal vital signs.

6. The control method according to claim 4, characterized in that: Step S5 further includes: Step S51: Obtain the room number, bed number, floor number, and area number of the calling terminal in the calling terminal layer; Step S52: Obtain the real-time location, shift group, and idle status of the current nursing staff; Step S53: Calculate the distance between the nurse and the call location, and filter out the candidate nurses who meet the conditions based on the current task load and the area of ​​responsibility. Sort them according to the priority from the nearest to the farthest and the task load from the lowest to the highest, and dispatch the call event to the candidate nurse who is ranked first. If the nurse does not respond within the set time, it will be automatically transferred to the next candidate nurse. Step S54: If all candidate nurses fail to respond to the call within the set time, the call event will be escalated to the management control terminal (8) and the nursing station display terminal (6), and the management personnel will manually intervene and dispatch the order.

7. The control method according to claim 4, characterized in that: The edge communication gateway (5) in step S3 further includes an offline cache module built into the edge communication gateway (5). When the cloud platform (9) connection is abnormal, the offline cache module stores the call time in the local cache queue and directly sends the call information to the nursing station display terminal (6) and mobile nursing terminal (7) in the local area network.

8. The control method according to claim 4, characterized in that: The cloud platform (9) in step S4 further includes a call data analysis module built into the cloud platform (9). The call data analysis module is used to count the frequency of elderly calls, nursing response time, abnormal call ratio and nursing staff workload, and generate nursing management suggestions based on the statistical results.

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