CN-121971744-A - Infusion state remote monitoring and automatic clamping safety alarm method based on Internet of things
Abstract
The invention discloses an infusion state remote monitoring and automatic clamping safety alarm method based on the Internet of things, which comprises the following steps of S1, equipment binding and initialization, wherein in the system implementation stage, a technician firstly carries out equipment binding operation of a wireless infusion alarm and an intelligent ward terminal in a ward, through the binding, the system automatically generates equipment binding information and corresponds each infusion monitoring equipment to a specific bed and a patient one by one, and S2, infusion state real-time monitoring is carried out, wherein an infusion monitor is connected with an integrated dripping speed sensing module or a liquid level sensor. According to the intelligent ward management system, through the cooperative work of the wireless infusion monitoring terminal and the intelligent ward management platform, the real-time monitoring, state identification, automatic clamping processing and multi-terminal alarm linkage in the infusion process are realized, the problems of low manual inspection efficiency, delayed abnormal state response, isolated and dispersed information and the like in the existing infusion monitoring mode can be effectively solved, and therefore the medication safety and nursing work efficiency of patients are remarkably improved.
Inventors
- XIE JIAHAN
- CHEN WENJIE
Assignees
- 厦门狄耐克物联智慧科技有限公司
Dates
- Publication Date
- 20260505
- Application Date
- 20251206
Claims (8)
- 1. The infusion state remote monitoring and automatic clamping safety alarm method based on the Internet of things is characterized by comprising the following steps of: S1, equipment binding and initialization, wherein in the implementation stage of the system, a technician firstly carries out equipment binding operation of a wireless infusion alarm and an intelligent ward terminal in a ward, through the binding, the system automatically generates equipment binding information, and each infusion monitoring equipment corresponds to a specific bed and a patient one by one; s2, monitoring the infusion state in real time, wherein the infusion monitor acquires key parameters of the infusion state in real time through an integrated dripping speed sensing module or a liquid level sensor, wherein the key parameters comprise dripping speed, residual liquid amount, battery electric quantity and equipment on-line state, acquired data are wirelessly transmitted to a bedside machine or a bedside machine through an MQTT protocol, and the bedside machine or the bedside machine immediately performs local aggregation and preliminary processing on the data after receiving the MQTT message so as to ensure the real-time property and accuracy of the data; S3, state identification and classification, wherein the system automatically classifies and identifies the infusion state by using an intelligent algorithm according to the infusion state parameters acquired in real time in S2, in the process of realizing state identification, the infusion monitor periodically calls a preset reporting interface to upload current state data to the system, after receiving the data uploaded by the equipment, the system judges the infusion state by using a built-in hydraulic identification algorithm, after the equipment state change is identified by the hydraulic identification algorithm, the system packages alarm information into a message object, and pushes the message object to all bound terminal equipment by a message queue pushing mechanism, and all the terminal equipment can synchronously receive the alarm information in millisecond time to realize real-time alarm and instant response of the infusion process; S4, platform recording and log archiving, namely, all alarm information and state change data are synchronously uploaded to the intelligent ward management platform in real time, and the intelligent ward management platform adopts an efficient data storage and management mechanism to automatically log and archive key events, alarm information and state changes in all infusion processes; S5, checking and processing by a nursing staff, wherein the nursing staff can check the transfusion state and alarm information of a patient in real time through accessing various terminal devices in a ward, and can quickly position a specific bed and perform corresponding intervention measures when the system gives out abnormal alarm; And S6, completing the closed loop, namely once a nursing staff completes the treatment of the abnormal condition, entering the whole infusion safety management flow into the closed loop state, wherein the process comprises the steps of confirming that the abnormality is solved and recording related operations, automatically updating the infusion state of a patient into processed or normal state by the system, and closing related alarms.
- 2. The method for remotely monitoring and automatically clamping and alarming the infusion state based on the internet of things according to claim 1, wherein the whole operation process of the step S1 is completed in an intelligent ward management platform, and is used for establishing a basic data frame for subsequent real-time state acquisition and data transmission.
- 3. The method for remotely monitoring and automatically clamping and safety alarming based on the infusion state of the internet of things according to claim 1, wherein in the step S3, the classified states comprise a normal state and an abnormal state, the normal state comprises that the infusion is in progress, the infusion is finished, the equipment is in an off-line state, and the abnormal state comprises a low-power alarm, an equipment abnormality off-line alarm and an automatic clamping trigger alarm; The reporting interface actively transmits key infusion parameters and equipment on-line states including normal, low-power and off-line to the back-end server when the timing task or state changes, so as to ensure real-time transmission and accurate recording of the equipment states.
- 4. The method for remotely monitoring and automatically clamping and safety alarming based on the infusion state of the internet of things according to claim 1, wherein in the step S3, the hydraulic identification algorithm is based on hydrostatic and dynamic fluidics principles, and calculates the current pipeline pressure value by collecting pressure data in an infusion pipeline in real time and combining the liquid flow rate and the liquid level height, wherein the calculation formula is as follows: ; Wherein, the As the total pressure currently measured is, For the density of the liquid, g is the gravitational acceleration, Is the difference in height of the liquid surface relative to the sensor, For the flow rate of the liquid, For the environment reference pressure, the system calculates the pressure variation through continuous sampling Rate of change of pressure And vary with the flow rate The method comprises the steps of carrying out joint analysis so as to judge the state of an infusion process, judging that the infusion process is normal when pressure fluctuation is small and the flow rate is stable, indicating that the liquid level is lowered to be close to the bottom of a bottle when the pressure is continuously raised and the flow rate is gradually reduced, judging that the infusion process is about to end when the pressure is suddenly increased and exceeds a safety threshold, judging that the system is abnormal in blocking a tube or returning blood, immediately triggering an automatic clamping device to close an infusion pipeline, and generating alarm information.
- 5. The method for remotely monitoring and automatically clamping and alarming the infusion state based on the internet of things according to claim 1, wherein in the step S5, when an abnormal alarm is given, alarm classification and processing logic are as follows: (1) When the electric quantity of the monitor is lower than a threshold value, immediately triggering an alarm and prompting a nursing staff to replace or charge; (2) If the equipment does not return data within a certain time, the system judges that the equipment is offline abnormally and alarms; (3) Automatically triggering and alarming when the system detects abnormal transfusion, automatically triggering the locking device and synchronously alarming; (4) And displaying the normal state, namely displaying three states of 'in transfusion', 'after transfusion' or 'off-line' on the terminal equipment by the system under the non-abnormal condition, and providing reference for nursing staff.
- 6. The method for remotely monitoring and automatically clamping and alarming the infusion state based on the Internet of things according to claim 1, wherein in the step S2, a data format is packaged in a JSON format and comprises an instruction type and data content, the instruction type comprises 'infusionStatus', 'alarmLowPower' and 'alarmClampOn', and the data content comprises a patient bed number, a device number, state parameters and alarm information.
- 7. The method for remotely monitoring and automatically clamping and alarming the infusion state based on the Internet of things according to claim 1, wherein in the S1, a client-server architecture is adopted in the system, the system mainly comprises a monitoring terminal module, a forwarding terminal module, a platform management module and an alarm processing module, the monitoring terminal module is responsible for collecting the infusion state in real time and sending data through a wireless protocol, the forwarding terminal module is borne by a bedside machine or a bedside machine and is responsible for receiving the monitoring terminal data and forwarding the monitoring terminal data to other terminals, the platform management module is located at a server end of an intelligent ward and is responsible for data storage, binding management and history log, and the alarm processing module is responsible for multi-terminal linkage display and alarm reminding.
- 8. The method for remotely monitoring and automatically clamping and alarming the infusion state based on the internet of things according to claim 1, wherein in the step S3, the terminal equipment comprises a bedside machine, a door machine, a nursing white board and a PDA.
Description
Infusion state remote monitoring and automatic clamping safety alarm method based on Internet of things Technical Field The invention relates to the technical field of intelligent wards, in particular to an infusion state remote monitoring and automatic clamping safety alarm method based on the Internet of things. Background The transfusion treatment is one of the most common treatment modes in clinical care, almost covers the treatment process of all inpatients, the traditional transfusion monitoring mode mainly depends on manual inspection of nurses or nursing staff, whether transfusion is normally performed, is about to end or is in danger conditions such as blood circulation and air inlet or not is judged by observing the liquid drop speed in a transfusion bottle and a dropping funnel and the pipeline condition, however, the mode is low in efficiency and has higher risk, in order to solve the problem of insufficient manual inspection, some electronic transfusion alarm devices are arranged in the prior art, for example, photoelectric sensors are arranged at the dropping funnel of some products, a buzzer or an indicator lamp is triggered to remind nurses when liquid drops stop, and partial devices use a pressure sensor to prompt when the pipeline pressure is abnormally changed, but the prior art scheme still has the following defects: 1. The alarm mode is single, most devices adopt a local buzzer or an indicator lamp to remind, if a nursing staff is not in a ward, alarm signals are easily ignored, so that the treatment time is delayed; 2. the existing devices are mostly operated in a single machine, lack networking capability with a hospital information system or a nursing station, and cannot realize centralized and remote management; 3. Most of the existing devices only can give an alarm, and lack further safety measures, such as automatically clamping a pipeline when liquid is about to be dripped, so that the risk of blood return or air entering a blood vessel cannot be avoided; 4. The traditional alarm device only detects whether liquid drops exist or not, and cannot accurately identify complex conditions such as abnormal infusion flow rate, pipeline blockage, bubble mixing and the like, and the coverage of clinical safety protection is insufficient; in view of the above, the application provides a transfusion state remote monitoring and automatic clamping safety alarm method based on the Internet of things. Disclosure of Invention Based on the technical problems in the background technology, the invention provides an infusion state remote monitoring and automatic clamping safety alarm method based on the Internet of things. The invention provides an infusion state remote monitoring and automatic clamping safety alarm method based on the Internet of things, which comprises the following steps: S1, equipment binding and initialization, wherein in the implementation stage of the system, a technician firstly carries out equipment binding operation of a wireless infusion alarm and an intelligent ward terminal in a ward, through the binding, the system automatically generates equipment binding information, and each infusion monitoring equipment corresponds to a specific bed and a patient one by one; s2, monitoring the infusion state in real time, wherein the infusion monitor acquires key parameters of the infusion state in real time through an integrated dripping speed sensing module or a liquid level sensor, wherein the key parameters comprise dripping speed, residual liquid amount, battery electric quantity and equipment on-line state, acquired data are wirelessly transmitted to a bedside machine or a bedside machine through an MQTT protocol, and the bedside machine or the bedside machine immediately performs local aggregation and preliminary processing on the data after receiving the MQTT message so as to ensure the real-time property and accuracy of the data; S3, state identification and classification, wherein the system automatically classifies and identifies the infusion state by using an intelligent algorithm according to the infusion state parameters acquired in real time in S2, in the process of realizing state identification, the infusion monitor periodically calls a preset reporting interface to upload current state data to the system, after receiving the data uploaded by the equipment, the system judges the infusion state by using a built-in hydraulic identification algorithm, after the equipment state change is identified by the hydraulic identification algorithm, the system packages alarm information into a message object, and pushes the message object to all bound terminal equipment by a message queue pushing mechanism, and all the terminal equipment can synchronously receive the alarm information in millisecond time to realize real-time alarm and instant response of the infusion process; S4, platform recording and log archiving, namely, all alarm information and state change data are synchr