Infusion apparatus remote alarm device based on big data

Abstract

The invention relates to the technical field of infusion apparatus remote alarm, and discloses an infusion apparatus remote alarm device based on big data, which comprises a cloud server, a flow rate sensor, a liquid level sensor and a pressure sensor are arranged in a sensor module, and the sensor module transmits the sensors to the cloud server through a data transmission module. The cloud server carries out state analysis and storage on the received data, a cloud server analysis module is provided with a big data algorithm, the data analysis module analyzes and monitors the state of the infusion apparatus based on the big data algorithm, and the infusion apparatus control module carries out control response according to the analysis result of the cloud server. Custom threshold control is set in the infusion apparatus control module, the cloud server responds to the alarm module through the remote interaction module to send an alarm signal to the remote access device after analyzing an abnormal state, and the remote access device accesses the infusion apparatus control module through the remote interaction module to remotely control the infusion apparatus.

Description

Technical Field

[0001] The present invention relates to the technical field of remote alarm for infusion sets, and in particular to a remote alarm device for infusion sets based on big data. Background Art

[0002] With the continuous advancement of medical technology and the popularization of medical services, infusion operations have become more and more common in the medical process. At the same time, with the improvement of the digitization and informatization of medical equipment, infusion sets have begun to record more data, such as infusion rate, remaining time, and number of drops. The accumulation and storage of these data provide a basis for the remote alarm system of infusion sets based on big data analysis, and also make the processing and analysis of large-scale data more efficient and feasible. At the same time, the widespread application of cloud computing and Internet of Things technologies provides technical support for data transmission and remote monitoring for the remote alarm system of infusion sets. In addition, infusion sets are an important part of medical equipment, and the life safety of patients is closely related to the normal operation of infusion sets. The remote alarm system can monitor the parameters and status of infusion sets, detect abnormal conditions in time, and remind medical staff to take corresponding measures to ensure the safety of patients. However, due to limited human resources, medical staff cannot monitor the infusion of each patient at all times. In order to ensure the safety of patients, a reliable and efficient alarm system is needed that can monitor the status of infusion sets in real time and issue an alarm in time. Therefore, a remote alarm device for infusion sets based on big data is proposed.

[0003] At present, the alarm means of the remote alarm system of the infusion device is to trigger the alarm module to give an alarm prompt when a certain parameter of the infusion device reaches a critical value. However, different people have different treatment conditions and individual differences. A single infusion parameter alarm threshold parameter cannot meet the needs of different people, which may lead to invalid alarms and failure to detect problems in time. Therefore, an infusion device remote alarm device based on big data is proposed herein. The big data algorithm is used to monitor and manage the infusion parameters of the infusion device in real time, including the infusion time and infusion rate, and transmit the alarm response information to the remote interaction module. At the same time, the medical staff can respond to the infusion control through the remote interaction module to customize the alarm threshold according to the different needs of the patients, thereby improving the accuracy of the alarm and the adaptability of the alarm system. Summary of the invention

[0004] In view of the shortcomings of the prior art that a single infusion parameter alarm threshold parameter cannot meet the needs of different groups of people, resulting in invalid alarms and failure to detect problems in a timely manner, the present invention provides an infusion device remote alarm device based on big data, which has the advantage of being able to remotely customize the alarm threshold to improve the accuracy and adaptability of the alarm.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: A remote alarm device for an infusion device based on big data, comprising a cloud server, the input and output interfaces of the cloud server are provided with;

[0006] A sensor module for sensing various data values ​​of the infusion device;

[0007] A data transmission module for transmitting sensor collected data;

[0008] A database module for storing infusion device related data;

[0009] A data analysis module for analyzing collected infusion device data;

[0010] An infusion device control module for controlling the infusion device;

[0011] Custom threshold controls for adjusting infusion set alarm thresholds;

[0012] A remote interaction module for remotely accessing the infusion device interaction module;

[0013] A remote access device for implementing remote interaction via a remote interaction module;

[0014] Alarm module for alarm prompts;

[0015] The sensor module is provided with a flow rate sensor, a liquid level sensor and a pressure sensor. The sensor module transmits the sensor to the cloud server through the data transmission module. The cloud server performs status analysis and storage on the received data and stores historical data through the database module. The cloud server analysis module is provided with a big data algorithm. The data analysis module analyzes and monitors the infusion device status based on the big data algorithm. The infusion device control module performs control response according to the results of the cloud server analysis. The infusion device control module is provided with a custom threshold control. After the cloud server analyzes the abnormal status, the alarm module responds to the alarm module through the remote interaction module to send an alarm signal to the remote access device. The remote access device accesses the infusion device control module through the remote interaction module for remote control.

[0016] The data transmission module uses a cloud platform to transmit the infusion device data collected by the sensor module to a cloud server in real time.

[0017] The big data algorithm in the cloud server uses the MapReduce mode of distributed storage and processing of big data algorithms. MapReduce is a computing mode in the Hadoop distributed storage and processing framework, which can provide an efficient solution for large-scale data processing. By dividing a large data set into several small data blocks and performing parallel Map and Reduce operations on each data block, the processing result is finally obtained. MapReduce can be used to implement the infusion room number statistics and infusion device behavior analysis operations.

[0018] The data analysis module analyzes the status data of the infusion device based on the big data algorithm and is divided into two stages: Map stage and Reduce stage. In the Reduce stage, the data is analyzed to calculate the infusion status of different time periods, analyze whether the infusion rate meets the specifications, and count the use of infusion drugs.

[0019] The infusion control module is used to manage the infusion plan of the infusion device, including the infusion time, the infusion rate and the transmission of alarm response information to the remote interaction module. Medical staff can respond to the infusion control module to set the infusion plan through the remote interaction module. The infusion control module can customize the alarm threshold according to the needs of the patient through the customized threshold control.

[0020] The custom threshold control adjusts the alarm threshold according to different drugs, different patients and specific situations. First, the appropriate threshold value is determined by retrieving medical standards and patient conditions through big data, and then the infusion rate, number of drops and infusion time of the infusion device are modified through the custom threshold control. After the modification is completed, a modification response is sent to the infusion control module, and the infusion control module modifies the infusion device parameters after receiving it.

[0021] The remote access device can remotely receive alarm information and remotely control the infusion control module by accessing the remote interaction module. The remote access device includes various mobile terminal devices, mobile phones, and computers.

[0022] The flow rate sensor in the sensor module is used to detect the flow rate data of the medicine in the infusion set, the liquid level sensor in the sensor module is used to detect the liquid level data of the medicine in the infusion set, and the pressure sensor in the sensor module is used to detect the pressure data of the medicine bottle of the infusion set.

[0023] Beneficial effects:

[0024] 1. The infusion set remote alarm device based on big data uses the MapReduce mode based on big data algorithm for data analysis. The MapReduce mode can process multiple infusion set data blocks at the same time and can distribute computing tasks to different computing nodes for processing, thereby improving the speed and efficiency of infusion set data status analysis.

[0025] 2. The big data-based infusion remote alarm device has a custom threshold control module that can automatically adjust the alarm threshold. It adjusts different alarm thresholds according to different patient conditions. Through customized targeted adjustments, medical staff can set appropriate alarm thresholds and methods according to actual needs, and monitor and manage the infusion process more flexibly, thereby improving the accuracy of the alarm. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a system block diagram of a remote alarm device for an infusion set based on big data.

[0027] In the figure: 1. Sensor module; 2. Data transmission module; 3. Cloud server; 4. Database,module; 5. Big data algorithm; 6. Data analysis module; 7. Infusion control module; 8. Custom threshold control; 9. Remote interaction module; 10. Remote access device; 11. Alarm module; 12. Flow rate sensor; 13. Liquid level sensor; 14. Pressure sensor. DETAILED DESCRIPTION

[0028] 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.

[0029] Embodiment 1

[0030] See also Figure 1 , a remote alarm device for an infusion device based on big data, comprising a cloud server 3, the input and output interfaces of the cloud server 3 are provided with;

[0031] A sensor module 1 for sensing various data values ​​of the infusion device;

[0032] A data transmission module 2 for transmitting sensor collected data;

[0033] A database module 4 for storing infusion device related data;

[0034] A data analysis module 6 for analyzing the collected infusion device data;

[0035] An infusion device control module 7 for controlling the infusion device;

[0036] Custom threshold control 8 for adjusting the alarm threshold of the infusion set;

[0037] A remote interaction module 9 for remotely accessing the infusion device interaction module;

[0038] A remote access device 10 for implementing remote interaction through the remote interaction module 9;

[0039] An alarm module 11 for alarm prompting;

[0040] The sensor module 1 is provided with a flow rate sensor 12, a liquid level sensor 13 and a pressure sensor 14. The sensor module 1 transmits the sensor to the cloud server 3 through the data transmission module 2. The cloud server 3 performs status analysis and storage on the received data, and stores historical data through the database module 4. The analysis module of the cloud server 3 is provided with a big data algorithm 5. The data analysis module 6 analyzes and monitors the infusion device status based on the big data algorithm 5. The infusion device control module 7 controls and responds according to the analysis results of the cloud server 3. The infusion device control module 7 is provided with a custom threshold control 8. After the cloud server 3 analyzes the abnormal status, the alarm module 11 sends an alarm signal to the remote access device 10 through the remote interaction module 9. The remote access device 10 accesses the infusion device control module 7 through the remote interaction module 9 for remote control.

[0041] The data transmission module 2 uses cloud platform transmission to transmit the infusion device data collected by the sensor module 1 to the cloud server 3 in real time.

[0042] The big data algorithm 5 in the cloud server 3 uses the MapReduce mode of distributed storage and processing of big data algorithms. MapReduce is a computing mode in the Hadoop distributed storage and processing framework, which can provide an efficient solution for large-scale data processing. By dividing the large data set into several small data blocks and performing parallel Map and Reduce operations on each data block, the processing result is finally obtained. , MapReduce can be used to implement the infusion room number statistics and infusion device behavior analysis operations.

[0043] The data analysis module 6 analyzes the status data of the infusion device based on the big data algorithm 5, which is divided into two stages: the Map stage and the Reduce stage. In the Reduce stage, the data is analyzed to calculate the infusion status of different time periods, analyze whether the infusion rate meets the specifications, and count the use of infusion drugs.

[0044] Among them: the MapReduce mode of distributed storage and processing used by the big data algorithm 5 in the cloud server 3 first processes each transmitted infusion device data in MapReduce in the Map stage and generates a key-value pair, mapping each infusion record as input, the patient ID as the key, and the infusion information as the value, and then, in the Reduce stage, it is used to summarize and aggregate the key-value pairs output in the Map stage. In the data analysis of the infusion room, the infusion records can be aggregated according to the patient ID, and the total infusion volume, average rate, and the most commonly used drug category statistical indicators can be calculated.

[0045] Embodiment 2

[0046] See also Figure 1 Further on the basis of the first embodiment, the infusion control module 7 is used to manage the infusion plan of the infusion device, including the infusion time, the infusion rate and the transmission of alarm response information to the remote interaction module 9. The medical staff can respond to the infusion control module 7 to set the infusion plan through the remote interaction module 9. The infusion control module 7 can customize the alarm threshold according to the needs of the patient through the custom threshold control 8.

[0047] The custom threshold control 8 adjusts the alarm threshold according to different drugs, different patients and specific situations. First, the appropriate threshold value is determined by retrieving medical standards and patient conditions through big data, and then the infusion rate, number of drops and infusion time of the infusion device are modified through the custom threshold control 8. After the modification is completed, a modification response is sent to the infusion control module 7, and the infusion control module 7 modifies the infusion device parameters after receiving it.

[0048] The remote access device 10 can remotely receive alarm information and remotely control the infusion control module 7 by accessing the remote interaction module 9. The remote access device 10 includes various mobile terminal devices, mobile phones, and computers.

[0049] The flow rate sensor 12 in the sensor module 1 is used to detect the flow rate data of the medicine in the infusion set, the liquid level sensor 13 in the sensor module 1 is used to detect the liquid level data of the medicine in the infusion set, and the pressure sensor 14 in the sensor module 1 is used to detect the pressure data of the medicine bottle of the infusion set.

[0050] Among them: first, access the remote interaction module 9 through the remote access device 10 to enter the infusion control module 7, open the setting interface of the infusion control module 7 through the infusion control module 7, navigate to the custom threshold control 8 option related to the alarm threshold in the infusion control module 7 setting interface, the custom threshold control 8 is a separate menu item or submenu, and then in the custom threshold control 8 setting interface, the current alarm threshold will be displayed, and then according to actual needs, the alarm threshold is adjusted, the modified threshold parameters include infusion rate, number of drops, and infusion time. After the modification is completed, the alarm threshold of the infusion device can be changed.

[0051] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A remote alarm device for an infusion device based on big data, comprising a cloud server (3), characterized in that: The input and output interfaces of the cloud server (3) are provided with: A sensor module (1) for sensing various data values ​​of an infusion device; A data transmission module (2) for transmitting data collected by the sensor; A database module (4) for storing infusion device related data; A data analysis module (6) for analyzing the collected infusion device data; An infusion device control module (7) for controlling the infusion device; Custom threshold controls for adjusting infusion set alarm thresholds (8); A remote interaction module (9) for remotely accessing the infusion device interaction module; A remote access device (10) for implementing remote interaction via a remote interaction module (9); An alarm module (11) for alarm prompting; The sensor module (1) is provided with a flow rate sensor (12), a liquid level sensor (13) and a pressure sensor (14). The sensor module (1) transmits the sensor to a cloud server (3) through a data transmission module (2). The cloud server (3) performs status analysis and storage on the received data and stores historical data through a database module (4). The analysis module of the cloud server (3) is provided with a big data algorithm (5). The data analysis module (6) analyzes and monitors the state of the infusion device based on the big data algorithm (5). The infusion device control module (7) performs control response according to the analysis result of the cloud server (3). The infusion device control module (7) is provided with a custom threshold control (8). After the cloud server (3) analyzes the abnormal state, it responds to the alarm module (11) through the remote interaction module (9) to send an alarm signal to the remote access device (10). The remote access device (10) accesses the infusion device control module (7) through the remote interaction module (9) for remote control.

2. According to claim 1, a remote alarm device for an infusion set based on big data, characterized in that: The data transmission module (2) uses cloud platform transmission to transmit the infusion device data collected by the sensor module (1) to the cloud server (3) in real time.

3. The big data-based infusion device remote alarm device according to claim 1, characterized in that: The big data algorithm (5) in the cloud server (3) uses the MapReduce mode of distributed storage and processing of big data algorithms. MapReduce is a computing mode in the Hadoop distributed storage and processing framework, which can provide an efficient solution for large-scale data processing. By dividing a large data set into several small data blocks and performing parallel Map and Reduce operations on each data block, a processing result is finally obtained. MapReduce can be used to implement infusion room frequency statistics and infusion device behavior analysis operations.

4. The big data-based infusion device remote alarm device according to claim 1, characterized in that: The data analysis module (6) analyzes the status data of the infusion device based on the big data algorithm (5) and is divided into two stages: the Map stage and the Reduce stage. In the Reduce stage, the data is analyzed to calculate the infusion status of different time periods, analyze whether the infusion rate meets the specifications, and count the use of infusion drugs.

5. The big data-based infusion device remote alarm device according to claim 1, characterized in that: The infusion control module (7) is used to manage the infusion plan of the infusion device, including the infusion time, the infusion rate, and the transmission of alarm response information to the remote interaction module (9). Medical staff can respond to the infusion control module (7) to set the infusion plan through the remote interaction module (9). The infusion control module (7) can adjust the alarm threshold according to the needs of the patient through the custom threshold control (8).

6. The big data-based infusion device remote alarm device according to claim 1, characterized in that: The custom threshold control (8) adjusts the alarm threshold according to different drugs, different patients and specific situations. First, the medical standards and patient conditions are retrieved through big data to determine the appropriate threshold value. Then, the infusion rate, number of drops and infusion time of the infusion device are modified through the custom threshold control (8). After the modification is completed, a modification response is sent to the infusion control module (7). After receiving the response, the infusion control module (7) modifies the infusion device parameters.

7. The big data-based infusion device remote alarm device according to claim 1, characterized in that: The remote access device (10) is capable of remotely receiving alarm information and remotely controlling the infusion control module (7) by accessing the remote interaction module (9). The remote access device (10) includes various mobile terminal devices, mobile phones, and computers.

8. The big data-based infusion device remote alarm device according to claim 1, characterized in that: The flow rate sensor (12) in the sensor module (1) is used to detect the flow rate data of the medicine in the infusion set, the liquid level sensor (13) in the sensor module (1) is used to detect the liquid level data of the medicine in the infusion set, and the pressure sensor (14) in the sensor module (1) is used to detect the pressure data of the medicine bottle of the infusion set.

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