技术领域technical field
本发明属于医疗信息化发展技术领域，具体涉及一种基于云平台大数据统计与计算的糖尿病监测与交互系统。The invention belongs to the technical field of medical informatization development, and in particular relates to a diabetes monitoring and interaction system based on cloud platform big data statistics and calculation.
背景技术Background technique
随着生活水平的不断提高，糖尿病已经成为当前威胁全球人类健康的最重要的慢性非传染性疾病之一。根据国际糖尿病联盟(IDF)的2013年的最新统计，全球糖尿病在20-79岁成人中的患病率为8.3％，患者人数已达3.82亿。在对各个国家和地区的发病率和发病趋势的估计中，中国2013年糖尿病的患病人数为9840万，居全球首位，其次是印度(6510万)、美国(2440万)、巴西(1190万)、俄国(1090万)。其他患病人数低于1000万但排在前十位的国家还包括墨西哥、印度尼西亚、德国、埃及和日本。IDF估计，到2035年中国的糖尿病患病人数将达到1.43亿，仍然居于全球首位，而美国仅将达到2970万。With the continuous improvement of living standards, diabetes has become one of the most important chronic non-communicable diseases currently threatening global human health. According to the latest statistics of the International Diabetes Federation (IDF) in 2013, the global prevalence of diabetes among adults aged 20-79 is 8.3%, and the number of patients has reached 382 million. In the estimation of the incidence rate and incidence trend of various countries and regions, the number of people with diabetes in China in 2013 was 98.4 million, ranking first in the world, followed by India (65.1 million), the United States (24.4 million), Brazil (11.9 million ), Russia (10.9 million). Other countries in the top ten with under 10 million cases include Mexico, Indonesia, Germany, Egypt and Japan. IDF estimates that by 2035, the number of people with diabetes in China will reach 143 million, still ranking first in the world, while the number in the United States will only reach 29.7 million.
在糖尿病具有较高发病率的今天，人们一直不断的在探索新兴技术、模式来有效的缓解患者的病情，减少并发症的产生。电子医学对于糖尿病改善的临床实验结果得到了广泛的认可。研究互联网技术是否能影响糖尿病患者的生活这个课题起源于国外。研究内容包括了血糖监测系统，糖尿病管理信息系统等等。Today, when diabetes has a relatively high incidence, people have been constantly exploring new technologies and models to effectively alleviate the condition of patients and reduce the occurrence of complications. The results of clinical trials of electronic medicine for improving diabetes have been widely recognized. The subject of studying whether Internet technology can affect the lives of diabetic patients originated abroad. The research content includes blood glucose monitoring system, diabetes management information system and so on.
1971年左右，MillerandGoldstein就开始摸索着使用电话来对1型糖尿病患者进行管理，之后的时间里，相关的研究不断的得以实行，但是，受众大多局限在2型糖尿病患者上，并且由于通信技术的限制，很多智能通过电话交流，在很大程度上限制了数据搜集的规模以及难免的导致了效率的低下，很难满足大多数患者的需求。Around 1971, Miller and Goldstein began to explore the use of telephones to manage patients with type 1 diabetes. In the following time, related research was continuously implemented. However, the audience was mostly limited to patients with type 2 diabetes, and due to the development of communication technology Due to limitations, many intelligences communicate by telephone, which limits the scale of data collection to a large extent and inevitably leads to low efficiency, making it difficult to meet the needs of most patients.
国内医疗信息化管理起步相对较晚，直到1985年才开始正是的医疗机构对用户的病例进行系统化的整理、归档等。但是由于认识的局限，虽然有些专家提出了系统性管理糖尿病的重要性，但是并没有真正得以重视，目前国内在对于糖尿病系统性监测与交互的平台刚处于起步阶段。Domestic medical information management started relatively late, and it was not until 1985 that professional medical institutions began to systematically organize and archive user cases. However, due to limited understanding, although some experts have proposed the importance of systematic management of diabetes, they have not really paid attention to it. At present, the domestic platform for systematic monitoring and interaction of diabetes is just in its infancy.
随着物联网与云平台的发展，对糖尿病患者的治疗绝不仅仅停留在药物治疗的阶段。With the development of the Internet of Things and cloud platforms, the treatment of diabetic patients is not just at the stage of drug treatment.
发明内容Contents of the invention
针对现有技术所存在的上述技术问题，本发明提供了一种基于云平台大数据统计与计算的糖尿病监测与交互系统，从“血糖监测，药物治疗，饮食治疗，运动治疗，糖尿病自我管理教育”五个方面进行全方位的检测与治疗，并且通过大数据计算进行疾病管理与疾病预警。Aiming at the above-mentioned technical problems existing in the prior art, the present invention provides a diabetes monitoring and interactive system based on cloud platform big data statistics and calculation, from "blood sugar monitoring, drug therapy, diet therapy, exercise therapy, diabetes self-management education "All-round detection and treatment are carried out in five aspects, and disease management and disease early warning are carried out through big data calculation.
一种基于云平台大数据统计与计算的糖尿病监测与交互系统，包括：A diabetes monitoring and interaction system based on cloud platform big data statistics and calculation, including:
人体监测单元，用于对糖尿病病人生命体征进行实时监测，所述的生命体征包括胰岛素注射量、血糖水平、心率、体温、心电信号；The human body monitoring unit is used to monitor the vital signs of diabetic patients in real time, and the vital signs include insulin injection volume, blood sugar level, heart rate, body temperature, and electrocardiographic signals;
云平台单元，用于将人体监测单元获得的数据进行实时存储与数据的统计计算；The cloud platform unit is used for real-time storage and statistical calculation of the data obtained by the human body monitoring unit;
医院交互单元，用于将糖尿病人检测结果进行云端同步；包括医生与病人的交互模块、糖尿病人检测结果记录分析模块；其中医生与病人的交互界面直接与软件交互单元相联系，糖尿病人检测结果记录分析模块数据经云平台存储并且进行数据的处理统计之后与软件交互单元实时联系；The hospital interaction unit is used to synchronize the test results of diabetic patients on the cloud; it includes an interactive module between doctors and patients, and a module for recording and analyzing the test results of diabetic patients; the interactive interface between doctors and patients is directly connected with the software interaction unit, and the test results of diabetic patients After the data of the record analysis module is stored on the cloud platform and the data is processed and counted, it is connected with the software interaction unit in real time;
软件交互单元，用于与医院交互单元进行数据的同步，并实现数据的显示及与用户的交互。The software interaction unit is used to synchronize data with the hospital interaction unit, and realize data display and interaction with users.
上述技术方案中，进一步的，所述的人体监测单元，包括：In the above technical solution, further, the human body monitoring unit includes:
锂电池组供电模块，用于为人体监测单元其他模块供电；The lithium battery pack power supply module is used to supply power to other modules of the human body monitoring unit;
通过ZigBee信号传输的胰岛素泵实时胰岛素注射模块，用于对患者血糖水平进行实时的检测并根据血糖水平实时进行外源胰岛素注射，并将血糖水平以及注射胰岛素量通过ZigBee进行数据传输；The real-time insulin injection module of the insulin pump transmitted by ZigBee signal is used to detect the blood sugar level of the patient in real time and inject exogenous insulin in real time according to the blood sugar level, and transmit the data of the blood sugar level and the amount of injected insulin through ZigBee;
心率及体温测量与反馈模块，用于实时测量心率和体温；Heart rate and body temperature measurement and feedback module for real-time heart rate and body temperature measurement;
基于ZigBee信号传输的AD8232心电采集处理模块，用于采集心电信号，且心率与体温的测量与反馈模块与AD8232心电采集模块的STM32单片机进行连接，对AD采样后的信息进行处理，通过ZigBee进行数据的传输。The AD8232 ECG acquisition and processing module based on ZigBee signal transmission is used to collect ECG signals, and the heart rate and body temperature measurement and feedback module is connected with the STM32 microcontroller of the AD8232 ECG acquisition module to process the information after AD sampling. ZigBee carries on the data transmission.
更进一步的，所述的通过ZigBee信号传输的胰岛素泵实时胰岛素注射模块，包括：Furthermore, the real-time insulin injection module of the insulin pump through ZigBee signal transmission includes:
胰岛素泵模块，用于用户胰岛素的实时注射以及注射量和血糖水平的检测与反馈；Insulin pump module, used for real-time injection of user insulin and detection and feedback of injection volume and blood sugar level;
供电子系统模块，用于输入、输出电源匹配并且为通过ZigBee信号传输的胰岛素泵实时胰岛素注射模块下的其他子模块进行供电；所述的供电子系统模块，可以包括低压差线性稳压器(LDO)；其中低压差线性稳压器(LDO)一端与输入电源相连，一端与输出供电模块相连；The power supply subsystem module is used for input and output power matching and provides power for other sub-modules under the real-time insulin injection module of the insulin pump transmitted by ZigBee signal; the power supply subsystem module may include a low dropout linear regulator ( LDO); where one end of the low dropout linear regulator (LDO) is connected to the input power supply, and one end is connected to the output power supply module;
电池管理模块，用于外源输入电源；Battery management module, used for external input power;
控制单元模块，用于用户交互以及注射量的实时控制；Control unit module for user interaction and real-time control of injection volume;
报警和I/O功能模块，用于在检测到故障、到达指定时间或触发预警条件时提醒用户。Alarm and I/O function modules are used to alert the user when a fault is detected, a specified time is reached, or an early warning condition is triggered.
所述的基于ZigBee信号传输的AD8232心电采集处理模块，包括工频限波电路，STM32单片机AD采样电路，ZigBee协调器单元电路，AD8232心电信号采集电路；其中：心电信号由人体输入端引入AD8232心电信号采集电路，工频限波电路一端连接AD8232心电信号采集电路输出端；工频限波电路输出端与ZigBee协调器、STM32单片机AD采样电路的输入端相连；STM32单片机AD采样电路输出端与ZigBee协调器相连。The described AD8232 electrocardiographic acquisition and processing module based on ZigBee signal transmission includes power frequency wave limiting circuit, STM32 single-chip AD sampling circuit, ZigBee coordinator unit circuit, AD8232 electrocardiographic signal acquisition circuit; wherein: electrocardiographic signal is input by the human body Introduce the AD8232 ECG signal acquisition circuit, one end of the power frequency limiter circuit is connected to the output end of the AD8232 ECG signal acquisition circuit; the output end of the power frequency limiter circuit is connected to the ZigBee coordinator and the input end of the STM32 single-chip AD sampling circuit; the STM32 single-chip AD sampling circuit The output end of the circuit is connected with the ZigBee coordinator.
进一步的，所述的软件交互单元，包括：Further, the software interaction unit includes:
用户个人数据记录与显示提醒模块，用于对用户的血糖水平以及胰岛素注射量进行实时的显示，同时在血糖水平过高或者过低时能够及时提醒用户，对通过医院交互单元采集回来的用户检测指标进行统计及分析并显示；The user's personal data recording and display reminder module is used to display the user's blood sugar level and insulin injection volume in real time. At the same time, it can promptly remind the user when the blood sugar level is too high or too low, and detect the user's data collected through the hospital's interactive unit. Statistics, analysis and display of indicators;
用户有选择性匿名交流分享平台模块，用于用户间的交流分享或患者与医生的交流，通过用户的自主选择，可进行匿名或者实名的交流与经验分享，同时经过用户同意后，构建用户个人数据以及经验的分享交流平台；Users have a selective anonymous communication and sharing platform module, which is used for communication and sharing between users or communication between patients and doctors. Through the user's independent choice, anonymous or real-name communication and experience sharing can be carried out. At the same time, after the user's consent, the user's personal Data and experience sharing platform;
糖尿病患者锻炼指引与锻炼时间记录模块，用于用户锻炼方式以及锻炼时间的记录，对用户锻炼效果进行数据的存储于统计，通过建议的方式提供锻炼参考供用户选择；Exercise guidance and exercise time recording module for diabetic patients, which is used to record the user's exercise method and exercise time, store the data of the user's exercise effect in statistics, and provide exercise reference for users to choose through suggestions;
饮食记录与饮食推荐模块，用于饮食方式推荐以及用户日常饮食量的记录。The diet record and diet recommendation module is used for diet recommendation and recording of the user's daily diet.
上述的糖尿病监测与交互系统的监测与交互方法，包括如下步骤：The monitoring and interaction method of the above-mentioned diabetes monitoring and interaction system includes the following steps:
(1)用户数据采集；(1) User data collection;
用户通过随身匹配的胰岛素泵进行胰岛素注射量的实时监测，将胰岛素注射量与血糖水平通过ZigBee无线传输模块将数据进行实时传输至云平台；同时通过智能衣方式将体温以及心率通过压力传感器以及温度传感器后，进行STM32单片机的AD采样，心电信号通过AD8232心电采集模块进行心电信号的采集，同时在采集之后将体温、心率信息以及心电信号通过ZigBee无线传输模块进行数据项云平台达到传输；同时通过与医院交互端的数据的采集，在用户授权的条件下进行医院检测数据的实时云平台数据传输；通过软件交互接口用户可以选择性的将自己的饮食习惯以及锻炼情况与效果进行云平台数据的共享，同时可以通过云平台进行交互，交互信息将通过互联网进行实时的数据云平台同步。Users can monitor the insulin injection volume in real time through the matching insulin pump, and transmit the insulin injection volume and blood sugar level to the cloud platform in real time through the ZigBee wireless transmission module; After the sensor, carry out the AD sampling of the STM32 single-chip microcomputer. The ECG signal is collected by the AD8232 ECG acquisition module. At the same time, through the data collection of the interactive terminal with the hospital, the real-time cloud platform data transmission of the hospital detection data is carried out under the condition of user authorization; through the software interactive interface, users can selectively upload their eating habits, exercise conditions and effects to the cloud. The sharing of platform data can also interact through the cloud platform, and the interactive information will be synchronized with the real-time data cloud platform through the Internet.
(2)云端数据储存与数据处理(2) Cloud data storage and data processing
针对每一个用户建立一个相对的数据记录单元，将胰岛素注射量与血糖水平以及体温、心率、心电信号信息、饮食锻炼习惯以及个人数据记录信息等进行存储；同时将从医院端反馈得到的体检信息进行用户个人信息的存储，通过大数据计算，对用户个人信息进行统计与云计算，针对每一个用户的不同的数据进行分析与处理。对于从交互平添所获得的信息：软件平台用户间的交互以及医生患者之间的交互信息进行大数据统计并进行筛选分析之后进行数据的公示以及针对用户个体的合理性建议的提出，将云计算所得数据进行数据的综合与处理建立数据库进行数据的存储与统计。Establish a relative data recording unit for each user to store insulin injection volume, blood sugar level, body temperature, heart rate, ECG signal information, diet and exercise habits, and personal data recording information; The information stores the user's personal information. Through big data calculation, the user's personal information is counted and cloud computing is analyzed and processed for each user's different data. For the information obtained from interactive addition: the interaction between software platform users and the interaction information between doctors and patients, the big data statistics and screening analysis are carried out to publicize the data and propose reasonable suggestions for individual users. Cloud computing The obtained data is integrated and processed to establish a database for data storage and statistics.
(3)用户数据反馈(3) User data feedback
通过大数据平台进行数据的统计与计算，通过云平台数据库的对比以及用户数据的处理进行数据的反馈，通过软件平条件进行数据的长期动态显示，进行数据前后的比对提出相关的建议；交互信息将在特定界面进行显示；当出现异常情况是进行及时的警报。Statistics and calculation of data through the big data platform, feedback of data through comparison of cloud platform databases and processing of user data, long-term dynamic display of data through software flat conditions, comparison of data before and after, and relevant suggestions; interaction The information will be displayed on a specific interface; when an abnormal situation occurs, a timely alarm will be issued.
本发明提出引入物联网技术与云平台的新型糖尿病检测与交互系统The present invention proposes a new type of diabetes detection and interaction system that introduces Internet of Things technology and cloud platform
具有以下优点：Has the following advantages:
(1)利用糖尿病患者的自我的检测进行血糖的控制，并且将历史数据进行存储统计，以便更加直观地为患者自行做出对比，通过云平台的大数据统计能够对患者的疾病进行更加精确的监控与预警，在疾病的预防与治疗上实现最大程度上的自主化；(1) Use the self-testing of diabetic patients to control blood sugar, and store and count historical data in order to make comparisons for patients more intuitively. Through the big data statistics of the cloud platform, patients' diseases can be more accurately diagnosed Monitoring and early warning to achieve maximum autonomy in disease prevention and treatment;
(2)基于云平台的糖尿病监测与交互系统为医患之间提供了交流平台，简化了糖尿病监测流程，提高了医生效率，优化了医疗资源配置，实现了数据获取、数据分析、医生建议、方案执行的闭环。此外，大量的糖尿病患者生理数据提高了糖尿病科研课题数据分析的准确率。在糖尿病治疗上实现了“五车并行”的治疗方法，亦即：血糖监测，药物治疗，饮食治疗，运动治疗，糖尿病自我管理教育；让患者更加全面进行糖尿病的管理与控制。(2) The diabetes monitoring and interaction system based on the cloud platform provides a communication platform between doctors and patients, simplifies the diabetes monitoring process, improves the efficiency of doctors, optimizes the allocation of medical resources, and realizes data acquisition, data analysis, doctor's advice, Closed loop of program execution. In addition, a large number of physiological data of diabetic patients has improved the accuracy of data analysis of diabetes scientific research projects. In the treatment of diabetes, the "five vehicles in parallel" treatment method has been realized, namely: blood sugar monitoring, drug treatment, diet therapy, exercise therapy, and diabetes self-management education; allowing patients to more comprehensively manage and control diabetes.
附图说明Description of drawings
图1为本发明糖尿病监测与交互系统的总体流程示意图。Fig. 1 is a schematic diagram of the overall flow of the diabetes monitoring and interaction system of the present invention.
图2为人体监测单元的结构示意图。FIG. 2 is a schematic structural diagram of a human body monitoring unit.
图3为软件交互单元的结构示意图。Fig. 3 is a schematic structural diagram of the software interaction unit.
图4为工频限波电路的结构示意图。Fig. 4 is a structural schematic diagram of a power frequency wave limiting circuit.
图5为智能人体心率温度检测装置原理框图。Fig. 5 is a schematic block diagram of an intelligent human body heart rate temperature detection device.
图6为AD8232心电信号采集模块电路图。Figure 6 is the circuit diagram of the AD8232 ECG signal acquisition module.
具体实施方式detailed description
为了更为具体地描述本发明，下面结合附图及具体实施方式对本发明的技术方案进行详细说明。In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
图1所示了糖尿病监测与交互系统的总体交互流程示意图。整体框架包括人体监测单元、医院交互单元、云平台单元、软件交互单元，其中：个人用户授授权后进行终端的启动，通过胰岛素泵、心率温度采集模块以及AD8232心电信息采集模块，对用户个人实时信息进行数据的采集，通过数据预分析之后进行数据的发送，将数据发送至云平台以及医院交互单元的医护工作人员端，以方便医护工作人员进行实时的监控；云平台对用户数据的接受之后，进行数据的存储，通过云平台数据库进行大数据分析，将分析结果反馈到软件交互单元的用户个人信息显示界面，直接通过软件交互单元进行用户数据的显示；已与工作人员结合用户发送的数据进行医疗指导，进行治疗建议的反馈，在用户授权的前提下，将用户检测信息进行云平台同步，并且将检测信息直接与医院交互界面对接，进行检测信息的实时显示与存储；用户可以通过软件交互单元，进行用户间的信息交流，同时可以对个人信息进行查看与记录；用户可以通过互联网进行云平台数据的同步以及交互界面建议性信息的查看。Figure 1 shows a schematic diagram of the overall interaction process of the diabetes monitoring and interaction system. The overall framework includes a human body monitoring unit, a hospital interaction unit, a cloud platform unit, and a software interaction unit. Among them, the terminal is started after the individual user authorizes, and the user's personal Real-time information is used to collect data, send data after data pre-analysis, and send the data to the cloud platform and the medical staff of the hospital interactive unit to facilitate real-time monitoring of medical staff; the cloud platform accepts user data After that, the data is stored, big data analysis is carried out through the cloud platform database, and the analysis results are fed back to the user personal information display interface of the software interaction unit, and the user data is displayed directly through the software interaction unit; The data is used for medical guidance and feedback on treatment suggestions. Under the premise of user authorization, the user's detection information is synchronized with the cloud platform, and the detection information is directly connected to the hospital's interactive interface to display and store the detection information in real time. Users can pass The software interaction unit is used for information exchange between users, and can view and record personal information at the same time; users can synchronize cloud platform data and view suggested information on the interactive interface through the Internet.
人体监测单元用于对糖尿病病人胰岛素注射量与血糖水平以及心率、体温心电信号等生命体征的实时测量监测，并且与云平台进行实时的连接，如图2所示；将心电信号、体温心率信号进行采集，同时通过胰岛素泵进行数据的反馈，通过ZigBee协议进行数据的云平台传输。The human body monitoring unit is used for real-time measurement and monitoring of vital signs such as insulin injection volume, blood sugar level, heart rate, and body temperature ECG signals of diabetic patients, and is connected to the cloud platform in real time, as shown in Figure 2; the ECG signals, body temperature The heart rate signal is collected, and the data is fed back through the insulin pump, and the data is transmitted to the cloud platform through the ZigBee protocol.
软件交互单元用于数据的实时云平台与用户交互，如图3所示；其中主界面主要分为四个部分，医院交互界面进行诊断信息、检测指标、医生建议、用药记录、并发症防护指南、并发症自我监护信息的展示；用户之间交互界面进行匿名患者交流、公开患者经验交流、患者分享界面的展示；用户个人信息显示进行胰岛素泵实时用量、血糖水平、体温、心率实时图、心电信号、报警信息、既往病史、数据回放、数据曲线、分段查询、患者基本情况、用户账户信息、用户权限管理、账户管理、系统参数设置信息的展示；用户信息记录界面进行生活建议、饮食推荐、锻炼推荐、饮食记录的展示；通过网络进行云平台数据的实时同步，进行各界面的刷新同步，并设置反馈，将用户使用情况进行反馈。The software interaction unit is used for the real-time cloud platform of data to interact with users, as shown in Figure 3; the main interface is mainly divided into four parts, and the hospital interface is used for diagnosis information, detection indicators, doctor's advice, medication records, and guidelines for preventing complications , Complication self-monitoring information display; interactive interface between users for anonymous patient communication, open patient experience exchange, patient sharing interface display; user personal information display real-time insulin pump dosage, blood sugar level, body temperature, heart rate real-time graph, heart rate Display of electrical signals, alarm information, past medical history, data playback, data curve, segmented query, patient basic information, user account information, user authority management, account management, and system parameter setting information; user information recording interface for life advice, diet Display of recommendations, exercise recommendations, and diet records; real-time synchronization of cloud platform data through the network, refresh and synchronization of each interface, and set feedback to give feedback on user usage.
人体监测单元监测流程如下：The monitoring process of the human body monitoring unit is as follows:
(1)心电信号采集模块，如图6所示，经过两端输入进行心电数据的采集，进入AD9232芯片内部进行数据的处理，将数据输出后直接通过一个低通滤波器进行信号的滤波，滤波得到的信号进行STM32单片机的AD采样进行数据的采样，将采样信息通过ZigBee传输模块进行心电信号的传输。(1) The ECG signal acquisition module, as shown in Figure 6, collects ECG data through input at both ends, enters the AD9232 chip for data processing, and directly filters the signal through a low-pass filter after outputting the data , the filtered signal is used for AD sampling of the STM32 microcontroller for data sampling, and the sampling information is transmitted through the ZigBee transmission module for ECG signals.
(2)体温心率采集模块，如图5所示，包括传感器、前置放大电路、低通滤波器、陷波器、积分比较器、STM32单片机、上下限报警器、ZigBee协调器；其中：温度以及心率的采集通过两个传感器进行数据的采集，将采集所得到的数据通过前置放大电路进行信号的放大之后，通过低通滤波器进行信号的滤波，抑制高频分量，将滤波得到的信号通过陷波器进行工频陷波，排除工频的干扰，同时将工频陷波电路得到的信号经过积分比较器进行电压量的比较，将比较输出结果进行STM32单片机进行AD采样，同时将采样结果通过ZigBee协调器进行信息的传输，同时STM32单片机输出结果若超出预警范围，将直接进行上下限报警。(2) Body temperature and heart rate acquisition module, as shown in Figure 5, includes sensor, preamplifier circuit, low-pass filter, notch filter, integral comparator, STM32 single-chip microcomputer, upper and lower limit alarm, ZigBee coordinator; Wherein: temperature And the collection of heart rate through two sensors for data collection, after the collected data is amplified by the pre-amplification circuit, the signal is filtered by a low-pass filter to suppress high-frequency components, and the filtered signal Use the notch filter to perform power frequency notch to eliminate the interference of power frequency. At the same time, the signal obtained by the power frequency notch circuit is compared with the voltage by the integral comparator, and the comparison output result is carried out by STM32 microcontroller for AD sampling. As a result, information is transmitted through the ZigBee coordinator, and at the same time, if the output result of the STM32 microcontroller exceeds the warning range, the upper and lower limit alarms will be directly issued.
(3)胰岛素泵反馈，包括泵、小注射器和与之相连的输液管。小注射器最多可以容纳3毫升的胰岛素，注射器装入泵中后，将相连的输液管前端的引导针用注针器扎入患者的皮下(常规为腹壁)，再由电池驱动胰岛素泵的螺旋马达推动小注射器的活塞，将胰岛素输注到体内；胰岛素泵的基本用途是模拟胰腺的分泌功能，按照人体需要的剂量将胰岛素持续地推注到使用者的皮下，保持全天血糖稳定，以达到控制糖尿病的目的。同时胰岛素泵能够通过自身携带的无线传输单元进行数据的实时传输，将胰岛素用量动态数据以及血糖水平数据进行云平台的传输。(3) Insulin pump feedback, including the pump, small syringe and the infusion tube connected thereto. The small syringe can hold up to 3ml of insulin. After the syringe is loaded into the pump, the guide needle at the front end of the connected infusion tube is inserted into the patient's subcutaneous (normally the abdominal wall) with a needle injector, and the screw motor of the insulin pump is driven by a battery. Push the plunger of the small syringe to infuse insulin into the body; the basic purpose of the insulin pump is to simulate the secretory function of the pancreas, and continuously inject insulin into the user's skin according to the dose required by the human body to keep the blood sugar stable throughout the day to achieve The purpose of controlling diabetes. At the same time, the insulin pump can transmit data in real time through its own wireless transmission unit, and transmit the dynamic data of insulin dosage and blood sugar level data to the cloud platform.
云平台进行数据的存储与数据的统计，主要利用数据挖掘技术进行数据的处理与统计。基于数据挖掘旨在发现大量的数据中客观存在的一些规律，而这种规律需要通过相关技术分析每个数据才能够获得。数据挖掘的大体流程可以被归纳为数据准备、规律寻找和规律表示三个步骤。数据准备是指将离散化的待挖掘数据，通过固定的格式重新组装成满足挖掘需求的数据集操作；规律寻找是指通过特殊的计算方法寻找出蕴含在数据集中的客观规律；规律表示是指将数据中的规律以符合人们理解需求的方式表达出来，比如可视化的图或表格等；进行数据的挖掘，实现疾病的预警功能，为用户提供更为全面的并发症预警。The cloud platform performs data storage and data statistics, and mainly uses data mining technology for data processing and statistics. Based on data mining, it aims to discover some laws that exist objectively in a large amount of data, and such laws can only be obtained by analyzing each data through relevant technologies. The general process of data mining can be summarized into three steps: data preparation, regularity finding and regularity representation. Data preparation refers to reassembling the discretized data to be mined into a data set operation that meets the mining needs through a fixed format; law finding refers to finding out the objective laws contained in the data set through special calculation methods; law expression refers to Express the laws in the data in a way that meets people's understanding needs, such as visual graphs or tables, etc.; carry out data mining, realize the early warning function of diseases, and provide users with more comprehensive early warning of complications.
ZigBee协调器进行网络节点的传输后，首先等待各节点的连接。接收到采集数据的指令后，网关发出信号请求，接收来自各节点发送的数据包，再将数据通过互联网传送到远程监测中也，呈现在监测界面中，完成数据采集全过程。After the ZigBee coordinator transmits the network nodes, it first waits for the connection of each node. After receiving the command to collect data, the gateway sends a signal request, receives the data packets sent from each node, and then transmits the data to the remote monitoring through the Internet, and presents it on the monitoring interface to complete the whole process of data collection.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710409510.8ACN107203695A (en) | 2017-06-02 | 2017-06-02 | A kind of diabetes monitoring and interactive system counted based on cloud platform big data with calculating |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710409510.8ACN107203695A (en) | 2017-06-02 | 2017-06-02 | A kind of diabetes monitoring and interactive system counted based on cloud platform big data with calculating |
| Publication Number | Publication Date |
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| CN107203695Atrue CN107203695A (en) | 2017-09-26 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710409510.8APendingCN107203695A (en) | 2017-06-02 | 2017-06-02 | A kind of diabetes monitoring and interactive system counted based on cloud platform big data with calculating |
| Country | Link |
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| CN (1) | CN107203695A (en) |
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