Intelligent infusion monitoring, regulating and controlling method and system based on Internet of Things

Abstract

The invention discloses an intelligent infusion monitoring, regulating and controlling method and system based on the Internet of Things. The intelligent infusion monitoring, regulating and controlling method based on the Internet of Things comprises the following steps: acquiring infusion information correctness degree data through the Internet of Things; obtaining an infusion information correctness degree evaluation index according to the infusion information correctness degree data; according to the infusion information correctness evaluation index, analyzing the infusion proceeding condition and starting infusion; after infusion is started, real-time monitoring is carried out through the Internet of Things to obtain infusion state parameter data; obtaining an infusion state evaluation index according to the infusion state parameter data; and analyzing the infusion condition according to the infusion state evaluation index and performing regulation and control. The infusion condition is analyzed and regulated according to the infusion state evaluation index, the effect of quickly determining the physical condition of the infusion object according to the infusion condition and taking regulation measures is achieved, and the problem that in the prior art, regulation measures are difficult to take in time according to the physical condition of the infusion object is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of infusion monitoring, and in particular to an intelligent infusion monitoring and regulation method and system based on the Internet of Things. Background Art

[0002] With the development of technology, Internet of Things technology has gradually been applied to the medical field, such as monitoring and regulating the infusion process through the Internet of Things. Infusion therapy is one of the common treatment methods in hospitals. However, during the infusion process, nurses need to constantly monitor the patient's infusion situation, including infusion speed, infusion volume, etc., to ensure the effectiveness and safety of the treatment. Infusion monitoring is a process in which medical institutions strictly control and observe the liquid input volume and speed during the infusion process for patients, because improper infusion speed or volume may cause adverse reactions in patients, and may even lead to serious problems such as severe circulatory overload. Due to limited manpower, nurses cannot constantly monitor the infusion situation of each patient, and problems such as too fast or too slow infusion speed are likely to occur, affecting the treatment effect. Therefore, an intelligent infusion monitoring method is needed.

[0003] Existing infusion monitoring systems use wireless sensor technology. The wireless sensors are usually fixed on the infusion bag or infusion pump to monitor the infusion situation in real time, realize remote monitoring of the infusion process, and transmit the data to the central monitoring system or the mobile devices of medical staff through the wireless network to achieve the infusion monitoring function.

[0004] For example, a highly integrated intelligent infusion monitoring system and method announced in the invention patent with the announcement number of CN113332533B includes: a highly integrated intelligent infusion monitoring module, a clamping module, a background server, a mobile terminal installed with an application program, and a PC terminal installed with an application program; the highly integrated intelligent infusion monitoring module includes a main controller; the clamping module is connected to the main controller, the main controller is also connected to the background server, and the background server is also connected to the mobile terminal and the PC terminal; the clamping module is installed on the infusion tube; the mobile terminal is carried by medical staff and family members, and the PC terminal is installed on the nurse workstation; the highly integrated intelligent infusion monitoring module is used to detect the remaining liquid volume of the real-time infusion bag and control the clamping of the clamping module according to the abnormal situation of the liquid drops.

[0005] For example, a control method and device for the flow rates of the main and auxiliary pumps of a high-pressure infusion pump disclosed in the invention patent announcement with the announcement number of CN107784147B include: establishing a mathematical model of the flow rates of the main and auxiliary pumps and the operation time; obtaining the flow rate set by the user, and establishing a digital model of the flow rates of the main and auxiliary pumps according to the flow rate and the mathematical model; converting the digital model of the flow rates of the main and auxiliary pumps into a Step-V model of the main and auxiliary pumps through integration, and the Step-V model of the main and auxiliary pumps is a function of each step of the main and auxiliary pumps and their corresponding plunger speeds; generating wave table data according to the flow rate curve in the digital model of the flow rates of the main and auxiliary pumps and the integration curve in the Step-V model of the main and auxiliary pumps; and controlling the flow rates of the main and auxiliary pumps according to the wave table data.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it is found that the above technology has at least the following technical problems: In the prior art, due to the excessive number of personnel receiving infusion treatment in the hospital, medical staff cannot always pay attention to the physical conditions of each patient, and there is a problem that it is difficult to take control measures in a timely manner according to the physical conditions of the infusion objects. Summary of the Invention

[0007] The embodiments of the present application provide an intelligent infusion monitoring and control method and system based on the Internet of Things, which solve the problem in the prior art that it is difficult to take control measures in a timely manner according to the physical conditions of the infusion objects, and realize quickly clarifying the physical conditions of the infusion objects according to the infusion situation and taking control measures.

[0008] The embodiments of the present application provide an intelligent infusion monitoring and control method based on the Internet of Things, including the following steps: obtaining data on the correctness of infusion information through the Internet of Things; obtaining an evaluation index of the correctness of infusion information according to the data on the correctness of infusion information, and the evaluation index of the correctness of infusion information is used to reflect the accuracy of the infusion information of the infusion object; analyzing the progress of the infusion according to the evaluation index of the correctness of infusion information and starting the infusion; obtaining data on infusion state parameters through real-time monitoring by the Internet of Things after starting the infusion; obtaining an infusion state evaluation index according to the data on infusion state parameters, and the infusion state evaluation index is used to indicate data reflecting the infusion state of the infusion object; analyzing the infusion situation according to the infusion state evaluation index and performing control.

[0009] Further, the specific analysis process of the evaluation index of the correctness of infusion information is as follows: obtaining data on the correctness of infusion information, and the data on the correctness of infusion information includes data on the degree of compliance of the infusion object, data on the degree of fit of the infusion drug, and data on the integrity of the infusion device; performing data cleaning and normalization processing on the data on the correctness of infusion information; and analyzing and obtaining an evaluation index of the correctness of infusion information according to the data on the degree of compliance of the infusion object, the data on the degree of fit of the infusion drug, and the data on the integrity of the infusion device.

[0010] Further, the specific analysis process for analyzing the progress of the infusion based on the evaluation index of the correctness of the infusion information is as follows: Obtain the evaluation index of the correctness of the infusion information; when the evaluation index of the correctness of the infusion information is not equal to the threshold of the correctness of the infusion information, it indicates that an error has occurred in the preparatory work before the start of the infusion; re-arrange the infusion object, infusion drug, and infusion device, and repeat the above process; when the evaluation index of the correctness of the infusion information is equal to the threshold of the correctness of the infusion information, it indicates that the preparatory work before the start of the infusion has been accurately completed, and the infusion begins.

[0011] Further, the specific analysis process for obtaining the infusion status evaluation index based on the infusion status parameter data is as follows: After the start of the infusion, obtain the infusion status parameter data by real-time monitoring of the working status of the infusion device and the infusion situation of the infusion object through the Internet of Things. The infusion status parameter data includes the data on the good degree of the infusion tube status, the data on the infusion specification degree, and the data on the physical condition of the infusion object; obtain the infusion status monitoring index data based on the infusion status parameter data. The infusion status monitoring index data includes the evaluation index of the good degree of the infusion tube status, the evaluation index of the infusion specification degree, and the evaluation index of the physical condition of the infusion object; obtain the infusion status evaluation index based on the infusion status monitoring index data; the evaluation index of the good degree of the infusion tube status is used to reflect the good degree of the infusion tube status through the data on the volume of air bubbles in the infusion tube, the data on the firmness of the infusion tube connection, and the data on the infusion pressure of the infusion tube; the evaluation index of the infusion specification degree is used to evaluate the data on the infusion specification degree through the data on the infusion speed of the infusion object, the data on the remaining liquid volume of the infusion drug, and the data on the temperature of the infusion drug; the evaluation index of the physical condition of the infusion object is used to describe the data on the good degree of the physical condition of the infusion object reflected through the data on the heart rate of the infusion object, the data on the blood pressure of the infusion object, the data on the body temperature of the infusion object, and the data on the blood oxygen saturation of the infusion object.

[0012] Further, the specific analysis process of the evaluation index for the good condition of the infusion tube is as follows: Obtain the data on the good condition of the infusion tube; perform data conversion and data organization on the data of the good condition of the infusion tube to normalize the data of the good condition of the infusion tube; obtain all the infusion pressure data of the infusion tubes in the data of the good condition of the infusion tube, arrange the infusion pressure data of the infusion tubes in descending order, and thus extract the infusion pressure data of the infusion tube ranked first as the maximum value of the infusion pressure data of the infusion tube, and extract the infusion pressure data of the infusion tube ranked last as the minimum value of the infusion pressure data of the infusion tube; compare the volume data of the air bubbles contained in the infusion tube in the data of the good condition of the infusion tube with the standard data of the volume of the air bubbles contained in the infusion tube, and then perform a weighted operation with the proportion of the volume data of the air bubbles contained in the infusion tube in the evaluation index of the good condition of the infusion tube to obtain the air bubble volume coefficient; compare the data on the firmness of the infusion tube connection with the standard data on the firmness of the infusion tube connection, and then perform a weighted operation with the proportion of the data on the firmness of the infusion tube connection in the evaluation index of the good condition of the infusion tube to obtain the connection firmness coefficient; couple the air bubble volume coefficient and the connection firmness coefficient and then average them to obtain the first-level coefficient; compare the result of subtracting the maximum value and the minimum value of the infusion pressure data of the infusion tube from the infusion pressure data of the infusion tube with the standard data of the infusion pressure of the infusion tube, and perform a weighted operation on the result of the comparison with the proportion of the infusion pressure data of the infusion tube in the evaluation index of the good condition of the infusion tube to obtain the infusion pressure coefficient; perform a mean value processing on the infusion pressure coefficient to obtain the second-level coefficient; couple the first-level coefficient and the second-level coefficient to obtain the evaluation index of the good condition of the infusion tube.

[0013] Further, the specific analysis process of the infusion standard degree evaluation index is as follows: Obtain the infusion standard degree data, which includes the infusion speed data of the infusion object, the remaining liquid volume data of the infusion drug, and the temperature data of the infusion drug; After comparing the infusion speed data of the infusion object with the standard infusion speed data of the infusion object, perform a weighted operation with the weight ratio of the infusion speed data of the infusion object in the infusion standard degree evaluation index to obtain the speed comparison coefficient; After comparing the remaining liquid volume data of the infusion drug with the standard remaining liquid volume data of the infusion drug, perform a weighted operation with the weight ratio of the remaining liquid volume data of the infusion drug in the infusion standard degree evaluation index to obtain the volume comparison coefficient; After comparing the temperature data of the infusion drug with the standard temperature data of the infusion drug, perform a weighted operation with the weight ratio of the temperature data of the infusion drug in the infusion standard degree evaluation index to obtain the temperature comparison coefficient; After coupling the speed comparison coefficient, the volume comparison coefficient, and the temperature comparison coefficient, average them to obtain the infusion standard degree evaluation index; The specific method for obtaining the physical condition evaluation index of the infusion object is as follows: After comparing the heart rate data of the infusion object with the standard heart rate data of the infusion object, perform a weighted operation with the weight ratio of the heart rate data of the infusion object in the physical condition evaluation index of the infusion object to obtain the heart rate coefficient; After comparing the blood pressure data of the infusion object with the standard blood pressure data of the infusion object, perform a weighted operation with the weight ratio of the blood pressure data of the infusion object in the physical condition evaluation index of the infusion object to obtain the blood pressure coefficient; After comparing the body temperature data of the infusion object with the standard body temperature data of the infusion object, perform a weighted operation with the weight ratio of the body temperature data of the infusion object in the physical condition evaluation index of the infusion object to obtain the body temperature coefficient; After comparing the blood oxygen saturation data of the infusion object with the standard blood oxygen saturation data of the infusion object, perform a weighted operation with the weight ratio of the blood oxygen saturation data of the infusion object in the physical condition evaluation index of the infusion object to obtain the blood oxygen coefficient; After coupling the heart rate coefficient, the blood pressure coefficient, the body temperature coefficient, and the blood oxygen coefficient, average them to obtain the physical condition evaluation index of the infusion object.

[0014] Furthermore, the specific analysis process of obtaining the infusion information accuracy evaluation index based on the analysis of the infusion object compliance data, the infusion drug compliance data and the infusion equipment integrity data is as follows: after comparing the infusion object compliance data with the infusion object compliance standard data, a weighted operation is performed with the weight ratio of the infusion object compliance data in the infusion information accuracy evaluation index to obtain the infusion object compliance coefficient; after comparing the infusion drug compliance data with the infusion drug compliance standard data, a weighted operation is performed with the weight ratio of the infusion drug compliance data in the infusion information accuracy evaluation index to obtain the infusion drug compliance coefficient; after comparing the infusion equipment integrity data with the infusion equipment integrity standard data, a weighted operation is performed with the weight ratio of the infusion equipment integrity data in the infusion information accuracy evaluation index to obtain the infusion equipment integrity coefficient; after coupling processing, the infusion object compliance coefficient, the infusion drug compliance coefficient and the infusion equipment integrity coefficient are combined and averaged to obtain the infusion information accuracy evaluation index.

[0015] Furthermore, the specific analysis process for obtaining the infusion status evaluation index based on the infusion status monitoring index data is as follows: a weighted operation is performed on the infusion tube status goodness evaluation index and the weight ratio of the infusion tube status goodness evaluation index in the infusion status evaluation index to obtain the infusion tube status index; a weighted operation is performed on the infusion standardization evaluation index and the weight ratio of the infusion standardization evaluation index in the infusion status evaluation index to obtain the infusion standardization index; a weighted operation is performed on the infusion object physical condition evaluation index and the weight ratio of the infusion object physical condition evaluation index in the infusion status evaluation index to obtain the infusion object index; coupling processing is performed on the infusion tube status index, the infusion standardization index and the infusion object index to obtain the infusion status evaluation index.

[0016] Furthermore, the specific analysis process of analyzing the infusion situation and regulating according to the infusion state assessment index is: obtaining the infusion state assessment index of all infusion subjects and performing mean processing to obtain the average value of the infusion state assessment index, obtaining the infusion state assessment index of the infusion subject, when the ratio of the infusion state assessment index to the average value of the infusion state assessment index is less than the state critical value, it indicates that the infusion state of the infusion subject is good, the vital signs of the infusion subject are normal, and no infusion regulation is required; when the ratio of the infusion state assessment index to the average value of the infusion state assessment index is not less than the state critical value, it indicates that the infusion state of the infusion subject is not good, the vital signs of the infusion subject are abnormal, and infusion regulation is required, and an early warning reminder is issued.

[0017] An embodiment of the present application provides an intelligent infusion monitoring and regulation system based on the Internet of Things, including: an information data acquisition module, an information index acquisition module, an infusion confirmation module, a monitoring acquisition module, an index acquisition module, and an analysis and regulation module; wherein, the information data acquisition module is used to acquire the data of the correctness of infusion information through the Internet of Things; the information index acquisition module is used to obtain an evaluation index of the correctness of infusion information according to the data of the correctness of infusion information, and the evaluation index of the correctness of infusion information is used to reflect the accuracy of the infusion information of the infusion object; the infusion confirmation module is used to analyze the progress of the infusion and start the infusion according to the evaluation index of the correctness of the infusion information; the monitoring acquisition module is used to perform real-time monitoring through the Internet of Things after the infusion starts to obtain the data of the infusion state parameters; the index acquisition module is used to obtain an evaluation index of the infusion state according to the data of the infusion state parameters, and the evaluation index of the infusion state is used to refer to the data reflecting the infusion state of the infusion object; the analysis and regulation module is used to analyze the infusion situation and perform regulation according to the evaluation index of the infusion state.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The data of the correctness of infusion information is acquired through the Internet of Things, an evaluation index of the correctness of infusion information is obtained according to the data of the correctness of infusion information, the progress of the infusion is analyzed according to the evaluation index of the correctness of infusion information and the infusion is started, real-time monitoring is performed through the Internet of Things after the infusion starts to obtain the data of the infusion state parameters, an evaluation index of the infusion state is obtained according to the data of the infusion state parameters, so as to analyze the infusion situation and perform regulation according to the evaluation index of the infusion state, and thus the physical condition of the infusion object is quickly determined according to the infusion situation and regulation measures are taken, effectively solving the problem that it is difficult to take regulation measures in a timely manner according to the physical condition of the infusion object in the prior art.

[0019] 2. The data of the correctness of infusion information is acquired through the Internet of Things, an evaluation index of the correctness of infusion information is obtained according to the data of the correctness of infusion information, the progress of the infusion is analyzed according to the evaluation index of the correctness of infusion information and the infusion is started, so as to verify the information before the infusion starts and quickly determine whether the infusion can be performed, and thus the work efficiency before the infusion starts is improved.

[0020] 3. The evaluation index of the infusion state is obtained by analyzing from three aspects: the evaluation index of the good degree of the infusion tube state, the evaluation index of the infusion standard degree, and the evaluation index of the physical condition of the infusion object, so that the evaluation index of the infusion state is more comprehensive, and thus the infusion situation can be analyzed more accurately according to the evaluation index of the infusion state. Description of the Drawings

[0021] Figure 1Flowchart of the intelligent infusion monitoring and regulation method based on the Internet of Things provided by the embodiments of the present application; Figure 2 Flowchart of obtaining the infusion status evaluation index provided by the embodiments of the present application; Figure 3 Schematic structural diagram of the intelligent infusion monitoring and regulation system based on the Internet of Things provided by the embodiments of the present application. Detailed implementation manners

[0022] In the embodiments of the present application, by providing an intelligent infusion monitoring and regulation method and system based on the Internet of Things, the problem in the prior art that it is difficult to take regulation measures in a timely manner according to the physical condition of the infusion object is solved. The correct degree data of the infusion information is obtained through the Internet of Things; the infusion information correct degree evaluation index is obtained according to the correct degree data of the infusion information; the infusion progress is analyzed according to the infusion information correct degree evaluation index and the infusion is started; after the infusion is started, the infusion status parameter data is obtained through real-time monitoring by the Internet of Things; the infusion status evaluation index is obtained according to the infusion status parameter data; the infusion situation is analyzed according to the infusion status evaluation index and regulation is carried out, realizing quickly clarifying the physical condition of the infusion object according to the infusion situation and taking regulation measures.

[0023] The technical solution in the embodiments of the present application is to solve the above problem that it is difficult to take regulation measures in a timely manner according to the physical condition of the infusion object. The general idea is as follows: The correct degree data of the infusion information is obtained through the Internet of Things; the infusion information correct degree evaluation index is obtained according to the correct degree data of the infusion information; the infusion progress is analyzed according to the infusion information correct degree evaluation index and the infusion is started; after the infusion is started, the infusion status parameter data is obtained through real-time monitoring by the Internet of Things; the infusion status evaluation index is obtained according to the infusion status parameter data. The specific process is: obtaining the infusion state parameter data such as the good degree data of the infusion tube, the infusion standard degree data and the physical condition data of the infusion object, obtaining the infusion state monitoring index data such as the good degree evaluation index of the infusion tube, the infusion standard degree evaluation index and the physical condition evaluation index of the infusion object according to the infusion state parameter data, and obtaining the infusion status evaluation index according to the infusion state monitoring index data; the infusion situation is analyzed according to the infusion status evaluation index and regulation is carried out, achieving the effect of quickly clarifying the physical condition of the infusion object according to the infusion situation and taking regulation measures.

[0024] In order to better understand the above technical solution, the above technical solution will be described in detail below in combination with the accompanying drawings of the specification and specific implementation manners.

[0025] As Figure 1As shown in the figure, it is a flowchart of an intelligent infusion monitoring and regulation method based on the Internet of Things provided by an embodiment of the present application. This method is applied to an intelligent infusion monitoring and regulation system based on the Internet of Things, and the method includes the following steps: obtaining data on the correctness of infusion information through the Internet of Things; obtaining an evaluation index for the correctness of infusion information based on the data on the correctness of infusion information, where the evaluation index for the correctness of infusion information is used to reflect the accuracy of the infusion information of the infusion object; analyzing the progress of the infusion based on the evaluation index for the correctness of infusion information and starting the infusion; obtaining data on infusion status parameters through real-time monitoring via the Internet of Things after starting the infusion; obtaining an evaluation index for the infusion status based on the data on infusion status parameters, where the evaluation index for the infusion status is used to indicate data reflecting the infusion status of the infusion object; analyzing the infusion situation based on the evaluation index for the infusion status and performing regulation.

[0026] In this embodiment, the above-mentioned intelligent infusion monitoring and regulation method based on the Internet of Things is used to monitor the infusion situation of patients in real time through Internet of Things devices, ensuring the safety and comfort of the infusion process. The automation management of the infusion process is realized through Internet of Things technology, reducing the workload of medical staff. Warning reminders are issued when the status of the infusion object is abnormal, helping medical staff to detect and handle infusion problems in a timely manner.

[0027] Further, the specific analysis process of the evaluation index for the correctness of infusion information is as follows: obtaining data on the correctness of infusion information, where the data on the correctness of infusion information includes data on the compliance degree of the infusion object, data on the fit degree of the infusion drug, and data on the integrity degree of the infusion device; performing data cleaning and normalization processing on the data on the correctness of infusion information; analyzing and obtaining an evaluation index for the correctness of infusion information based on the data on the compliance degree of the infusion object, data on the fit degree of the infusion drug, and data on the integrity degree of the infusion device.

[0028] In this embodiment, the evaluation index for the correctness of infusion information can also be obtained through other methods. The specific method is as follows: creating an infusion preparation checklist containing all necessary steps; using a flowchart and a mathematical model to represent the infusion preparation process; analyzing the execution degree of each step and performing comprehensive analysis to obtain the degree of preparation perfection. Before the actual infusion process starts, it is necessary to verify the patient, the equipment used by the patient, and the drugs to be used, etc., to avoid the phenomenon of misinfusing drugs to the patient. Therefore, the evaluation index for the correctness of infusion information is used to determine whether to start the infusion. By performing data cleaning on the data on the correctness of infusion information, the accuracy of the data on the correctness of infusion information is higher, which is beneficial to the accuracy of the evaluation index for the correctness of infusion information.

[0029] Further, the specific analysis process of analyzing the infusion progress according to the infusion information correctness evaluation index is as follows: Obtain the infusion information correctness evaluation index; when the infusion information correctness evaluation index is not equal to the infusion information correctness threshold, it indicates that an error has occurred in the preparatory work before the start of the infusion; re-arrange the infusion object, infusion drug, and infusion device, and repeat the above process; when the infusion information correctness evaluation index is equal to the infusion information correctness threshold, it indicates that the preparatory work before the start of the infusion has been accurately completed, and the infusion begins.

[0030] In this embodiment, the infusion information correctness evaluation index is used to determine whether to perform an infusion. When the infusion information correctness evaluation index is not equal to the infusion information correctness threshold, it indicates that an error has occurred in the preparatory work before the start of the infusion, and the infusion is not performed. The medical staff re-configures and verifies the drugs, and then uses the infusion information correctness evaluation index again to determine whether to perform an infusion. When the infusion information correctness evaluation index is equal to the infusion information correctness threshold, it indicates that the preparatory work before the start of the infusion has been accurately completed, and the infusion begins.

[0031] Further, the specific analysis process of obtaining the infusion status evaluation index based on the infusion status parameter data is as follows: After the start of the infusion, obtain the infusion status parameter data by real-time monitoring of the working status of the infusion device and the infusion situation of the infusion object through the Internet of Things. The infusion status parameter data includes the data on the good degree of the infusion tube status, the data on the infusion standard degree, and the data on the physical condition of the infusion object; obtain the infusion status monitoring index data based on the infusion status parameter data. The infusion status monitoring index data includes the evaluation index of the good degree of the infusion tube status, the evaluation index of the infusion standard degree, and the evaluation index of the physical condition of the infusion object; obtain the infusion status evaluation index based on the infusion status monitoring index data; the evaluation index of the good degree of the infusion tube status is used to reflect the good degree of the infusion tube status through the data on the volume of air bubbles in the infusion tube, the data on the firmness of the infusion tube connection, and the data on the infusion pressure of the infusion tube; the evaluation index of the infusion standard degree is used to evaluate the data on the infusion standard degree through the data on the infusion speed of the infusion object, the data on the remaining liquid volume of the infusion drug, and the data on the temperature of the infusion drug; the evaluation index of the physical condition of the infusion object is used to describe the data reflecting the good degree of the physical condition of the infusion object through the data on the heart rate of the infusion object, the data on the blood pressure of the infusion object, the data on the body temperature of the infusion object, and the data on the blood oxygen saturation of the infusion object.

[0032] In this embodiment, as Figure 2As shown in the figure, it is a flowchart for obtaining the infusion status evaluation index provided by the embodiment of the present application. The infusion status is affected by many aspects, such as the usage status of the infusion tube, the degree of infusion standardization, and the physical condition of the infusion object. Therefore, it is necessary to analyze from multiple aspects to obtain the infusion status. By analyzing the usage status of the infusion tube, the degree of infusion standardization, and the physical condition of the infusion object, the evaluation index of the good degree of the infusion tube status, the evaluation index of the degree of infusion standardization, and the evaluation index of the physical condition of the infusion object are obtained, and then the infusion status evaluation index is obtained. The infusion status of the patient is analyzed by using the infusion status evaluation index.

[0033] Further, the specific analysis process of the evaluation index of the good degree of the infusion tube status is as follows: Obtain the data of the good degree of the infusion tube status; perform data conversion and data organization on the data of the good degree of the infusion tube status to normalize the data of the good degree of the infusion tube status; obtain all the infusion tube infusion pressure data in the data of the good degree of the infusion tube status, arrange the infusion tube infusion pressure data in descending order, and extract the infusion tube infusion pressure data ranked first as the maximum value of the infusion tube infusion pressure data, and extract the infusion tube infusion pressure data ranked last as the minimum value of the infusion tube infusion pressure data; compare the volume data of the air bubbles contained in the infusion tube in the data of the good degree of the infusion tube status with the standard data of the volume of the air bubbles contained in the infusion tube, and perform a weighted operation with the weight ratio of the volume data of the air bubbles contained in the infusion tube in the evaluation index of the good degree of the infusion tube status to obtain the bubble volume coefficient; compare the data of the firmness of the infusion tube connection with the standard data of the firmness of the infusion tube connection, and perform a weighted operation with the weight ratio of the data of the firmness of the infusion tube connection in the evaluation index of the good degree of the infusion tube status to obtain the connection firmness coefficient; couple the bubble volume coefficient and the connection firmness coefficient and average them to obtain the first-level coefficient; compare the result of subtracting the maximum value and the minimum value of the infusion tube infusion pressure data from the infusion tube infusion pressure data with the standard data of the infusion tube infusion pressure, and perform a weighted operation on the result of the comparison with the weight ratio of the infusion tube infusion pressure data in the evaluation index of the good degree of the infusion tube status to obtain the infusion pressure coefficient; perform a mean value processing on the infusion pressure coefficient to obtain the second-level coefficient; couple the first-level coefficient and the second-level coefficient to obtain the evaluation index of the good degree of the infusion tube status.

[0034] In this embodiment, the evaluation index of the good degree of the infusion tube state can also be obtained by other methods, including: observing the formation and size of bubbles, analyzing the influence of bubbles on the infusion flow rate, and evaluating the risk of bubbles entering the blood circulation; controlling the infusion pressure and monitoring the patient's reaction to the infusion; using appropriate infusion tubes and equipment and recording the patient's physical reactions; analyzing the patient's state degree through big data. The appearance of bubbles in the infusion tube may cause air embolism, which can block blood vessels, leading to tissue necrosis and even death. Therefore, before starting the infusion, it should be checked whether there are bubbles in the infusion tube. If bubbles are found, the infusion tube should be gently tilted or gently rubbed to help the bubbles escape. During the infusion process, the infusion tube should be regularly checked to ensure that no new bubbles are generated. The pressure during infusion needs to be appropriately controlled to avoid adverse effects on the patient caused by too fast or too slow infusion speed. Ensure that the connection of the infusion tube to the needle and the infusion bottle or bag is firm to prevent leakage or detachment. Appropriate fixing methods (such as tape or clips) can be used to fix the infusion tube to prevent it from being twisted or affected by external forces.

[0035] Further, the specific analysis process of the infusion standard degree evaluation index is as follows: Obtain the infusion standard degree data, which includes the infusion speed data of the infusion object, the remaining liquid volume data of the infusion drug, and the temperature data of the infusion drug; After comparing the infusion speed data of the infusion object with the standard infusion speed data of the infusion object, perform a weighted operation with the weight ratio of the infusion speed data of the infusion object in the infusion standard degree evaluation index to obtain the speed comparison coefficient; After comparing the remaining liquid volume data of the infusion drug with the standard remaining liquid volume data of the infusion drug, perform a weighted operation with the weight ratio of the remaining liquid volume data of the infusion drug in the infusion standard degree evaluation index to obtain the volume comparison coefficient; After comparing the temperature data of the infusion drug with the standard temperature data of the infusion drug, perform a weighted operation with the weight ratio of the temperature data of the infusion drug in the infusion standard degree evaluation index to obtain the temperature comparison coefficient; Couple the speed comparison coefficient, the volume comparison coefficient, and the temperature comparison coefficient and then average them to obtain the infusion standard degree evaluation index; The specific method for obtaining the physical condition evaluation index of the infusion object is as follows: After comparing the heart rate data of the infusion object with the standard heart rate data of the infusion object, perform a weighted operation with the weight ratio of the heart rate data of the infusion object in the physical condition evaluation index of the infusion object to obtain the heart rate coefficient; After comparing the blood pressure data of the infusion object with the standard blood pressure data of the infusion object, perform a weighted operation with the weight ratio of the blood pressure data of the infusion object in the physical condition evaluation index of the infusion object to obtain the blood pressure coefficient; After comparing the body temperature data of the infusion object with the standard body temperature data of the infusion object, perform a weighted operation with the weight ratio of the body temperature data of the infusion object in the physical condition evaluation index of the infusion object to obtain the body temperature coefficient; After comparing the blood oxygen saturation data of the infusion object with the standard blood oxygen saturation data of the infusion object, perform a weighted operation with the weight ratio of the blood oxygen saturation data of the infusion object in the physical condition evaluation index of the infusion object to obtain the blood oxygen coefficient; Couple the heart rate coefficient, the blood pressure coefficient, the body temperature coefficient, and the blood oxygen coefficient and then average them to obtain the physical condition evaluation index of the infusion object.

[0036] In this embodiment, the specific method for obtaining other evaluation indexes of the infusion standard degree is as follows: construct mathematical models for the infusion rate, the remaining amount of infusion drugs, and the temperature of infusion drugs, combine the above three factors, establish a multi-variable model to evaluate the impact on infusion, and use multiple regression analysis to correlate the infusion rate, the remaining amount, and the temperature with the indexes of patient response or treatment effect. The infusion rate needs to be monitored because it cannot be increased or decreased arbitrarily and needs to be set according to the specific conditions of the patient (such as age, condition, cardiopulmonary function, etc.) and the doctor's instructions. Monitoring the infusion volume is equally important. Excessive infusion volume may cause problems such as edema and acute pulmonary edema, while too little may not achieve the treatment effect. Therefore, medical staff need to closely observe the remaining liquid volume in the infusion bag and make records. The same effect can be achieved by monitoring the remaining liquid volume of the infusion drug.

[0037] Furthermore, the specific analysis process for obtaining the evaluation index of the correctness of infusion information based on the data of the compliance degree of the infusion object, the compliance degree of the infusion drug, and the integrity degree of the infusion device is as follows: compare the data of the compliance degree of the infusion object with the standard data of the compliance degree of the infusion object, and then perform a weighting operation with the weight ratio of the data of the compliance degree of the infusion object in the evaluation index of the correctness of infusion information to obtain the compliance coefficient of the infusion object; compare the data of the compliance degree of the infusion drug with the standard data of the compliance degree of the infusion drug, and then perform a weighting operation with the weight ratio of the data of the compliance degree of the infusion drug in the evaluation index of the correctness of infusion information to obtain the compliance coefficient of the infusion drug; compare the data of the integrity degree of the infusion device with the standard data of the integrity degree of the infusion device, and then perform a weighting operation with the weight ratio of the data of the integrity degree of the infusion device in the evaluation index of the correctness of infusion information to obtain the integrity coefficient of the infusion device; combine the compliance coefficient of the infusion object, the compliance coefficient of the infusion drug, and the integrity coefficient of the infusion device, perform a coupling process, and then average to obtain the evaluation index of the correctness of infusion information.

[0038] The specific method for obtaining the evaluation index of the correctness of infusion information is as follows: obtain the data of the number of infusion objects, and number the infusion objects; perform multiple data collections before the infusion objects are infused, and number the number of data collections; obtain the data of the correctness of infusion information, including the data of the compliance degree of the infusion object, the compliance degree of the infusion drug, and the integrity degree of the infusion device; construct a calculation formula for the evaluation index of the correctness of infusion information; the specific calculation formula for the evaluation index of the correctness of infusion information is: , where represents the evaluation index of the correctness of infusion information for the th infusion object, , represents the total number of infusion objects, represents the The compliance data of an infusion object at the th data collection. The compliance data of the infusion object refers to the data indicating the accuracy of the infusion object. , is denoted as the total number of data collections, is denoted as the standard data of the compliance degree of the infusion object. The standard data of the compliance degree of the infusion object refers to the data when the accuracy of the infusion object meets the standard. is denoted as the th infusion object's drug compatibility data at the th data collection. The drug compatibility data of the infusion object refers to the data indicating the compatibility degree of the infusion drug. is denoted as the standard data of the drug compatibility degree of the infusion object. The standard data of the drug compatibility degree of the infusion object refers to the data when the compatibility degree of the infusion drug meets the standard. th infusion object's equipment integrity data at the th data collection. The equipment integrity data of the infusion object refers to the data indicating the integrity degree of the infusion equipment used by the infusion object. is denoted as the weight ratio of the compliance data of the infusion object in the infusion information accuracy evaluation index. is denoted as the weight ratio of the drug compatibility data of the infusion object in the infusion information accuracy evaluation index. is denoted as the weight ratio of the equipment integrity data of the infusion object in the infusion information accuracy evaluation index. e is denoted as the natural constant.

[0039] In this embodiment, the greater the gap between the infusion information accuracy evaluation index and the infusion information accuracy threshold, the lower the accuracy of the infusion information and the lower the matching degree of the infusion drug and equipment with the patient; the closer the infusion information accuracy evaluation index is to the infusion information accuracy threshold, the higher the accuracy of the infusion information and the higher the matching degree of the infusion drug and equipment with the patient. When the infusion information accuracy evaluation index is not equal to the infusion information accuracy threshold, that is , it indicates that an error occurred in the preparation work before the infusion starts, and the infusion is not carried out; when the infusion information accuracy evaluation index is equal to the infusion information accuracy threshold, that is , it indicates that the preparation work before the infusion starts is accurately completed, and the infusion starts. When the infusion information accuracy evaluation index is equal to the infusion information accuracy threshold, the infusion drug and equipment are perfectly matched with the patient, and the infusion can be carried out.

[0040] Further, the specific analysis process for obtaining the infusion status evaluation index based on the infusion status monitoring index data is as follows: Let the evaluation index of the good degree of the infusion tube status and the weight ratio of the evaluation index of the good degree of the infusion tube status in the infusion status evaluation index be weighted to obtain the infusion tube status index; Let the evaluation index of the infusion standard degree and the weight ratio of the evaluation index of the infusion standard degree in the infusion status evaluation index be weighted to obtain the infusion standard index; Let the evaluation index of the physical condition of the infusion object and the weight ratio of the evaluation index of the physical condition of the infusion object in the infusion status evaluation index be weighted to obtain the infusion object index; The infusion status evaluation index is obtained by coupling the infusion tube status index, the infusion standard index, and the infusion object index.

[0041] The specific method for obtaining the infusion status evaluation index is as follows: Set multiple time monitoring points and number the time monitoring points; Obtain the data of the number of infusion objects and number the infusion objects; Obtain the infusion status monitoring index data, which includes the evaluation index of the good degree of the infusion tube status, the evaluation index of the infusion standard degree, and the evaluation index of the physical condition of the infusion object; The infusion status evaluation index can be obtained in the following ways, including but not limited to: Collect parameters such as the diameter, material, and length of the infusion tube, record the preset infusion speed or the actual infusion speed (by calculating the number of drops of liquid per unit time), measure physiological indicators such as the patient's weight, age, heart rate, and blood pressure, use multiple linear regression analysis, take the infusion efficiency, patient comfort, and infusion safety as the dependent variables, take the infusion tube parameters, infusion speed, and patient physical condition parameters as the independent variables, construct a mathematical model, use historical data to train the model, and use techniques such as cross-validation to evaluate the accuracy of the model, adjust the model parameters until the best fit is found, and use the trained model to predict and evaluate new infusion situations; It can also be obtained through a calculation formula, and construct a calculation formula for the infusion status evaluation index; The specific calculation formula for the infusion status evaluation index is: , where is expressed as the th infusion object's infusion status evaluation index at the th time monitoring point, , is expressed as the total number of time monitoring points, , is expressed as the total number of infusion objects, is expressed as the th infusion object's evaluation index of the good degree of the infusion tube status at the th time monitoring point, is expressed as the th infusion object's evaluation index of the infusion standard degree at the th time monitoring point, is expressed as the The physical condition assessment index of an infusion subject at the th time monitoring point, which is expressed as the weight ratio of the evaluation index of the good condition of the infusion tube in the infusion status evaluation index, which is expressed as the weight ratio of the evaluation index of the infusion standard degree in the infusion status evaluation index, which is expressed as the weight ratio of the physical condition assessment index of the infusion subject in the infusion status evaluation index.

[0042] In this embodiment, the infusion status evaluation index is obtained by analyzing from three aspects: the evaluation index of the good condition of the infusion tube, the evaluation index of the infusion standard degree, and the physical condition assessment index of the infusion subject, so that the infusion status evaluation index is more comprehensively considered. The larger the infusion status evaluation index, the better the infusion status of the infusion subject and the safer the infusion subject; the smaller the infusion status evaluation index, the worse the infusion status of the infusion subject and the less safe the infusion subject.

[0043] Furthermore, the specific analysis process of analyzing the infusion situation and making adjustments according to the infusion status evaluation index is as follows: Obtain the infusion status evaluation indexes of all infusion subjects and perform mean processing to obtain the average value of the infusion status evaluation index. Obtain the infusion status evaluation index of the infusion subject. When the ratio of the infusion status evaluation index to the average value of the infusion status evaluation index is less than the status critical value, it indicates that the infusion status of the infusion subject is good and the vital signs of the infusion subject are normal, and no infusion adjustment is required; when the ratio of the infusion status evaluation index to the average value of the infusion status evaluation index is not less than the status critical value, it indicates that the infusion status of the infusion subject is poor and the vital signs of the infusion subject are abnormal, and infusion adjustment is required, and a warning reminder is issued.

[0044] In this embodiment, the average value of the infusion status evaluation index is , and the status critical value is 0.1. When the ratio of the infusion status evaluation index to the average value of the infusion status evaluation index is less than the status critical value, that is, , it indicates that the infusion status of the infusion subject at the time monitoring point is good and the vital signs of the infusion subject are normal, and no infusion adjustment is required; when the ratio of the infusion status evaluation index to the average value of the infusion status evaluation index is not less than the status critical value, that is, , it indicates that the infusion status of the infusion subject at the time monitoring point is poor and the vital signs of the infusion subject are abnormal, and infusion adjustment is required, and a warning reminder is issued. Through the warning reminder, medical staff can timely notice that the infusion status of the infusion subject is poor and infusion adjustment is required. The infusion adjustment includes adjusting the infusion speed, infusion temperature, and drug types, etc.

[0045] Obtain the data of the number of infusion objects, and number the infusion objects; set multiple time monitoring points, and number the time monitoring points; after starting the infusion, obtain data multiple times at each time monitoring point, and number the number of data acquisitions; construct a calculation formula for the evaluation index of the good degree of the infusion tube state; specifically, the calculation formula for the evaluation index of the good degree of the infusion tube state is: , In the formula, represents the evaluation index of the good degree of the infusion tube of the th infusion object at the th time monitoring point, , represents the total number of time monitoring points, , represents the total number of infusion objects, represents the volume data of air bubbles in the infusion tube at the th acquisition of data for the th time monitoring point of the th infusion object. The volume data of air bubbles in the infusion tube refers to the data represented by the volume of air bubbles in the infusion tube, , represents the total number of data acquisitions, , represents the standard data of the volume of air bubbles in the infusion tube. The standard data of the volume of air bubbles in the infusion tube refers to the data represented by the standard volume of air bubbles in the infusion tube, represents the data of the firmness of the infusion tube connection at the th acquisition of data for the th time monitoring point of the th infusion object. The data of the firmness of the infusion tube connection refers to the data represented by the firmness of the infusion tube connection, represents the standard data of the firmness of the infusion tube connection. The standard data of the firmness of the infusion tube connection refers to the data represented by the standard firmness of the infusion tube connection, represents the infusion pressure data of the infusion tube at the th acquisition of data for the th time monitoring point of the th infusion object. The infusion pressure data of the infusion tube refers to the data represented by the pressure of the flowing liquid in the infusion tube, represents the maximum value of the infusion pressure data of the infusion tube of the th infusion object at the th time monitoring point. The maximum value of the infusion pressure data of the infusion tube refers to the data represented by the pressure of the flowing liquid in the infusion tube, represents the th infusion object at the The minimum value of the infusion pressure data of the infusion tube at a time monitoring point. The minimum value of the infusion pressure data of the infusion tube refers to the data representing the minimum pressure of the flowing liquid in the infusion tube. Indicated as the standard infusion pressure data of the infusion tube for the th infusion object. The standard infusion pressure data of the infusion tube refers to the data representing the standard pressure of the flowing liquid in the infusion tube. Indicated as the weight ratio of the volume data of air bubbles in the infusion tube in the evaluation index of the good condition degree of the infusion tube. Indicated as the weight ratio of the infusion pressure data of the infusion tube in the evaluation index of the good condition degree of the infusion tube; The specific calculation formula of the infusion specification degree evaluation index is: , where Indicated as the th infusion object's infusion specification degree evaluation index at the th time monitoring point. Indicated as the th infusion object's th infusion object's infusion speed data at the th data acquisition at the th time monitoring point. The infusion speed data of the infusion object represents the data reflecting the liquid flow speed when the infusion object is infusing. Indicated as the th infusion object's standard infusion speed data at the th time monitoring point. The standard infusion speed data of the infusion object represents the data reflecting the standard liquid flow speed when the infusion object is infusing. Indicated as the th infusion object's th infusion drug remaining liquid volume data at the th data acquisition at the th time monitoring point. The infusion drug remaining liquid volume data represents the data reflecting the remaining liquid volume during infusion. Indicated as the th infusion object's standard infusion drug remaining liquid volume data at the th time monitoring point. The standard infusion drug remaining liquid volume data represents the data reflecting the standard remaining liquid volume during infusion. Indicated as the th infusion drug temperature data at the th data acquisition at the th time monitoring point for the Indicated as the th infusion object at the The standard temperature data of the infusion drug at each time monitoring point, where the standard temperature data of the infusion drug represents the data reflecting the standard temperature of the drug during infusion. It represents the weight ratio of the infusion speed data of the infusion object in the infusion specification evaluation index. It represents the weight ratio of the remaining liquid volume data of the infusion drug in the infusion specification evaluation index. It represents the weight ratio of the temperature data of the infusion drug in the infusion specification evaluation index; the specific calculation formula for the physical condition evaluation index of the infusion object is: , In the formula, represents the physical condition evaluation index of the th infusion object at the th time monitoring point. represents the heart rate data of the th infusion object at the th time monitoring point during the th data acquisition. The heart rate data of the infusion object represents the heart rate of the infusion object. represents the standard heart rate data of the th infusion object at the th time monitoring point. The standard heart rate data of the infusion object represents the standard heart rate of the infusion object. represents the blood pressure data of the th infusion object at the th time monitoring point during the th data acquisition. The blood pressure data of the infusion object represents the blood pressure of the infusion object. represents the standard blood pressure data of the th infusion object at the th time monitoring point. The standard blood pressure data of the infusion object represents the standard blood pressure of the infusion object. represents the body temperature data of the th infusion object at the th time monitoring point during the th data acquisition. The body temperature data of the infusion object represents the body surface temperature of the infusion object. represents the standard body surface temperature data of the th infusion object at the th time monitoring point. The standard body surface temperature data of the infusion object represents the standard body surface temperature of the infusion object. represents the th infusion object at the th time monitoring point during the The blood oxygen saturation data of the infusion object during the secondary data acquisition. The blood oxygen saturation data of the infusion object represents the blood oxygen saturation of the infusion object. Indicated as the th infusion object's standard blood oxygen saturation data at the th time monitoring point. The standard blood oxygen saturation data of the infusion object represents the standard blood oxygen saturation of the infusion object. Indicated as the proportion of the infusion object's heart rate data in the physical condition assessment index of the infusion object. Indicated as the proportion of the infusion object's blood pressure data in the physical condition assessment index of the infusion object. Indicated as the proportion of the infusion object's body temperature data in the physical condition assessment index of the infusion object. Indicated as the proportion of the infusion object's blood oxygen saturation data in the physical condition assessment index of the infusion object.

[0046] In this embodiment, the physical condition assessment index of the infusion object can also be obtained by other methods. The specific process is as follows: Collect physiological parameters such as the heart rate (HR), blood pressure (including systolic blood pressure and diastolic blood pressure), respiratory rate (RF), and blood oxygen saturation (SpO2) of the patient before and after infusion. Standardize the collected data, assign different weights according to the importance of each physiological parameter, then construct a comprehensive evaluation index, use a linear or non-linear combination formula to synthesize these parameters, construct a mathematical model, and use the mathematical model to predict and evaluate new infusion situations.

[0047] During the infusion, it is necessary to regularly monitor the patient's vital signs, such as indicators like heart rate, blood pressure, respiration, and blood oxygen saturation, to ensure they are within the normal range.

[0048] The smaller the evaluation index of the infusion tube's state of goodness, the better the state of the infusion tube, and the less likely it is to cause the infusion object to have a poor infusion state; the larger the evaluation index of the infusion tube's state of goodness, the worse the state of the infusion tube, and the more likely it is to cause the infusion object to have a poor infusion state.

[0049] The smaller the evaluation index of the infusion standard degree, the more the infusion process conforms to the standard requirements, and the less likely it is to cause the infusion object to have a poor infusion state; the larger the evaluation index of the infusion standard degree, the greater the gap between the infusion process and the standard requirements, and the more likely it is to cause the infusion object to have a poor infusion state.

[0050] The smaller the physical condition assessment index of the infusion object, the more normal the physical state of the infusion object, and the less likely it is to cause the infusion object to have a poor infusion state; the larger the physical condition assessment index of the infusion object, the more abnormal the physical state of the infusion object, and the more likely it is to cause the infusion object to have a poor infusion state.

[0051] As Figure 3 shown, it is a schematic structural diagram of an intelligent infusion monitoring and control system based on the Internet of Things provided by an embodiment of the present application. The intelligent infusion monitoring and control provided by the embodiment of the present application includes: an information data acquisition module, an information index acquisition module, an infusion confirmation module, a monitoring acquisition module, an index acquisition module, and an analysis and control module; wherein, the information data acquisition module is used to acquire the data of the correctness of infusion information through the Internet of Things; the information index acquisition module is used to obtain an evaluation index of the correctness of infusion information according to the data of the correctness of infusion information, and the evaluation index of the correctness of infusion information is used to reflect the accuracy of the infusion information of the infusion object; the infusion confirmation module is used to analyze the progress of the infusion and start the infusion according to the evaluation index of the correctness of infusion information; the monitoring acquisition module is used to perform real-time monitoring through the Internet of Things after the infusion starts to obtain the infusion state parameter data; the index acquisition module is used to obtain an infusion state evaluation index according to the infusion state parameter data, and the infusion state evaluation index is used to indicate the data reflecting the infusion state of the infusion object; the analysis and control module is used to analyze the infusion situation and perform control according to the infusion state evaluation index.

[0052] The technical solution in the above embodiment of the present application has at least the following technical effects or advantages: Compared with a method and device for controlling the flow rates of a main pump and an auxiliary pump of a high-pressure infusion pump disclosed in the invention patent announcement with the publication number of CN107784147B, in the embodiment of the present application, the data of the correctness of infusion information is acquired through the Internet of Things, an evaluation index of the correctness of infusion information is obtained according to the data of the correctness of infusion information, and the progress of the infusion is analyzed and the infusion is started according to the evaluation index of the correctness of infusion information, so as to verify the information before the infusion starts and quickly determine whether the infusion can be carried out, thereby improving the work efficiency before the infusion starts; Compared with a method and device for controlling the flow rates of a main pump and an auxiliary pump of a high-pressure infusion pump disclosed in the invention patent announcement with the publication number of CN107784147B, in the embodiment of the present application, the infusion state evaluation index is obtained by analyzing from three aspects: the evaluation index of the good degree of the infusion tube state, the evaluation index of the infusion standard degree, and the evaluation index of the physical condition of the infusion object, so that the infusion state evaluation index is more comprehensive, and thus the infusion situation can be analyzed more accurately according to the infusion state evaluation index.

[0053] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0054] The present invention is described with reference to flowchart illustrations and / or block diagram illustrations of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each flow and / or block in the flowchart illustrations and / or block diagram illustrations, and combinations of flows and / or blocks in the flowchart illustrations and / or block diagram illustrations, can be realized by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in a flow or flows and / or block or blocks Figure 1 or multiple blocks.

[0055] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in a flow or flows and / or block or blocks Figure 1 or multiple blocks.

[0056] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, such that the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in a flow or flows and / or block or blocks Figure 1 or multiple blocks.

[0057] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0058] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent infusion monitoring and regulation method based on the Internet of Things, characterized in that, It includes the following steps: Obtain data on the correctness degree of infusion information through the Internet of Things; Obtain an evaluation index for the correctness degree of infusion information based on the data on the correctness degree of infusion information. The evaluation index for the correctness degree of infusion information is used to reflect the accuracy of the infusion information of the infusion object; Analyze the progress of the infusion based on the evaluation index for the correctness degree of infusion information and start the infusion; After starting the infusion, obtain data on infusion status parameters through real-time monitoring via the Internet of Things; Obtain an evaluation index for the infusion status based on the data on infusion status parameters. The evaluation index for the infusion status is used to indicate data reflecting the infusion status of the infusion object; Analyze the infusion situation based on the evaluation index for the infusion status and conduct regulation; 2. The intelligent infusion monitoring and regulation method based on the Internet of Things according to claim 1, wherein: The specific analysis process of the evaluation index for the correctness degree of infusion information is as follows: Obtain data on the correctness degree of infusion information, which includes data on the compliance degree of the infusion object, data on the fitting degree of the infusion drug, and data on the integrity degree of the infusion device; Perform data cleaning and normalization processing on the data on the correctness degree of infusion information; Analyze and obtain an evaluation index for the correctness degree of infusion information based on the data on the compliance degree of the infusion object, data on the fitting degree of the infusion drug, and data on the integrity degree of the infusion device; 3. The intelligent infusion monitoring and regulation method based on the Internet of Things according to claim 1, wherein: The specific analysis process of analyzing the progress of the infusion based on the evaluation index for the correctness degree of infusion information is as follows: Obtain the evaluation index for the correctness degree of infusion information; When the evaluation index for the correctness degree of infusion information is not equal to the threshold value for the correctness degree of infusion information, it indicates that an error occurred in the preparation work before the start of the infusion; Re-arrange the infusion object, infusion drug, and infusion device, and repeat the above process; When the evaluation index for the correctness degree of infusion information is equal to the threshold value for the correctness degree of infusion information, it indicates that the preparation work before the start of the infusion is accurately completed, and the infusion starts; 4. The intelligent infusion monitoring and regulation method based on the Internet of Things according to claim 1, characterized in that: The specific analysis process of obtaining an evaluation index for the infusion status based on the data on infusion status parameters is as follows: After starting the infusion, obtain data on infusion status parameters by real-time monitoring of the working status of the infusion device and the infusion situation of the infusion object via the Internet of Things. The data on infusion status parameters includes data on the good degree of the infusion tube status, data on the infusion standard degree, and data on the physical condition of the infusion object; Obtain data on the infusion status monitoring index based on the data on infusion status parameters. The data on the infusion status monitoring index includes an evaluation index for the good degree of the infusion tube status, an evaluation index for the infusion standard degree, and an evaluation index for the physical condition of the infusion object; Obtain an evaluation index for the infusion status based on the data on the infusion status monitoring index; The evaluation index for the good degree of the infusion tube status is used to reflect the good degree of the infusion tube status through data on the volume of air bubbles in the infusion tube, data on the firmness of the infusion tube connection, and data on the infusion pressure of the infusion tube; The evaluation index for the infusion standard degree is used to evaluate the data on the infusion standard degree through data on the infusion speed of the infusion object, data on the remaining liquid volume of the infusion drug, and data on the temperature of the infusion drug; The evaluation index for the physical condition of the infusion object is used to describe the data reflecting the good degree of the physical condition of the infusion object through data on the heart rate of the infusion object, data on the blood pressure of the infusion object, data on the body temperature of the infusion object, and data on the blood oxygen saturation of the infusion object; 5. The intelligent infusion monitoring and regulation method based on the Internet of Things according to claim 4, characterized in that: The specific analysis process of the evaluation index for the good degree of the infusion tube status is as follows: Obtain data on the good degree of the infusion tube status; Perform data conversion and data organization on the data of the good condition degree of the infusion tube, so as to perform normalization processing on the data of the good condition degree of the liquid tube; Obtain all the infusion pressure data of the infusion tubes in the data of the good condition degree of the infusion tubes, arrange the infusion pressure data of the infusion tubes in descending order, extract the infusion pressure data of the infusion tube ranked first in the infusion pressure data of the infusion tubes, and use it as the maximum value of the infusion pressure data of the infusion tubes. Extract the infusion pressure data of the infusion tube ranked last in the infusion pressure data of the infusion tubes, and use it as the minimum value of the infusion pressure data of the infusion tubes; Compare the volume data of the air bubbles contained in the infusion tube in the data of the good condition degree of the infusion tube with the standard data of the volume of the air bubbles contained in the infusion tube, and then perform a weighted operation with the weight ratio of the volume data of the air bubbles contained in the infusion tube in the evaluation index of the good condition degree of the infusion tube to obtain the bubble volume coefficient; Compare the data of the firm connection degree of the infusion tube with the standard data of the firm connection degree of the infusion tube, and then perform a weighted operation with the weight ratio of the data of the firm connection degree of the infusion tube in the evaluation index of the good condition degree of the infusion tube to obtain the connection firmness coefficient; Couple the bubble volume coefficient and the connection firmness coefficient and then average to obtain the first-level coefficient; Compare the result of subtracting the maximum value and the minimum value of the infusion pressure data of the infusion tube from the infusion pressure data of the infusion tube with the standard data of the infusion pressure of the infusion tube, and perform a weighted operation on the result of the comparison process with the weight ratio of the infusion pressure data of the infusion tube in the evaluation index of the good condition degree of the infusion tube to obtain the infusion pressure coefficient; Perform an averaging process on the infusion pressure coefficient to obtain the second-level coefficient; Couple the first-level coefficient and the second-level coefficient to obtain the evaluation index of the good condition degree of the infusion tube.

6. The intelligent infusion monitoring and regulation method based on the Internet of Things according to claim 4, characterized in that: The specific analysis process of the infusion specification degree evaluation index is as follows: Obtain the infusion specification degree data, and the infusion specification degree data includes the infusion speed data of the infusion object, the remaining liquid volume data of the infusion drug, and the temperature data of the infusion drug; Compare the infusion speed data of the infusion object with the standard data of the infusion speed of the infusion object, and then perform a weighted operation with the weight ratio of the infusion speed data of the infusion object in the evaluation index of the infusion specification degree to obtain the speed comparison coefficient; Compare the remaining liquid volume data of the infusion drug with the standard data of the remaining liquid volume of the infusion drug, and then perform a weighted operation with the weight ratio of the remaining liquid volume data of the infusion drug in the evaluation index of the infusion specification degree to obtain the volume comparison coefficient; Compare the temperature data of the infusion drug with the standard data of the temperature of the infusion drug, and then perform a weighted operation with the weight ratio of the temperature data of the infusion drug in the evaluation index of the infusion specification degree to obtain the temperature comparison coefficient; Couple the speed comparison coefficient, the volume comparison coefficient, and the temperature comparison coefficient and then average to obtain the infusion specification degree evaluation index; The specific method for obtaining the evaluation index of the physical condition of the infusion object is as follows: Compare the heart rate data of the infusion object with the standard heart rate data of the infusion object, and then perform a weighted operation with the weight ratio of the heart rate data of the infusion object in the evaluation index of the physical condition of the infusion object to obtain the heart rate coefficient; After comparing the blood pressure data of the infusion object with the standard blood pressure data of the infusion object, a weighting operation is performed with the proportion of the blood pressure data of the infusion object in the physical condition evaluation index of the infusion object to obtain a blood pressure coefficient; After comparing the body temperature data of the infusion object with the standard body temperature data of the infusion object, a weighting operation is performed with the proportion of the body temperature data of the infusion object in the physical condition evaluation index of the infusion object to obtain a body temperature coefficient; After comparing the blood oxygen saturation data of the infusion object with the standard blood oxygen saturation data of the infusion object, a weighting operation is performed with the proportion of the blood oxygen saturation data of the infusion object in the physical condition evaluation index of the infusion object to obtain a blood oxygen coefficient; After coupling the heart rate coefficient, blood pressure coefficient, body temperature coefficient and blood oxygen coefficient, the physical condition evaluation index of the infusion object is obtained on average.

7. The intelligent infusion monitoring and regulation method based on the Internet of Things according to claim 2, wherein: The specific analysis process for analyzing the correct degree evaluation index of infusion information based on the compliance degree data of the infusion object, the fit degree data of the infusion drug and the integrity degree data of the infusion device is as follows: After comparing the compliance degree data of the infusion object with the standard compliance degree data of the infusion object, a weighting operation is performed with the proportion of the compliance degree data of the infusion object in the correct degree evaluation index of the infusion information to obtain a compliance coefficient of the infusion object; After comparing the fit degree data of the infusion drug with the standard fit degree data of the infusion drug, a weighting operation is performed with the proportion of the fit degree data of the infusion drug in the correct degree evaluation index of the infusion information to obtain a fit coefficient of the infusion drug; After comparing the integrity degree data of the infusion device with the standard integrity degree data of the infusion device, a weighting operation is performed with the proportion of the integrity degree data of the infusion device in the correct degree evaluation index of the infusion information to obtain an integrity coefficient of the infusion device; By coupling the compliance coefficient of the infusion object, the fit coefficient of the infusion drug and the integrity coefficient of the infusion device and averaging, the correct degree evaluation index of the infusion information is obtained.

8. The intelligent infusion monitoring and regulation method based on the Internet of Things according to claim 4, characterized in that: The specific analysis process for obtaining the infusion status evaluation index based on the infusion status monitoring index data is as follows: It is assumed that a weighting operation is performed on the evaluation index of the good degree of the infusion tube state and the proportion of the evaluation index of the good degree of the infusion tube state in the infusion status evaluation index to obtain an infusion tube state index; A weighting operation is performed on the evaluation index of the infusion standard degree and the proportion of the evaluation index of the infusion standard degree in the infusion status evaluation index to obtain an infusion standard index; A weighting operation is performed on the physical condition evaluation index of the infusion object and the proportion of the physical condition evaluation index of the infusion object in the infusion status evaluation index to obtain an infusion object index; The infusion status evaluation index is obtained by coupling the infusion tube state index, the infusion standard index and the infusion object index.

9. The intelligent infusion monitoring and regulation method based on the Internet of Things according to claim 1, characterized in that: The specific analysis process for analyzing the infusion situation and performing regulation according to the infusion status evaluation index is as follows: Obtain the infusion status evaluation indexes of all infusion objects and perform mean processing to obtain the average value of the infusion status evaluation indexes. Obtain the infusion status evaluation index of the infusion object. When the ratio of the infusion status evaluation index to the average value of the infusion status evaluation indexes is less than the status critical value, it indicates that the infusion status of the infusion object is good, the vital signs of the infusion object are normal, and no infusion regulation is required. When the ratio of the infusion status evaluation index to the average value of the infusion status evaluation indexes is not less than the status critical value, it indicates that the infusion status of the infusion object is poor, the vital signs of the infusion object are abnormal, infusion regulation is required, and early warning is given.

10. An intelligent infusion monitoring and regulation system based on the Internet of Things, characterized in that, It includes: An information data acquisition module, an information index acquisition module, an infusion confirmation module, a monitoring acquisition module, an index acquisition module, and an analysis and regulation module; Among them, the information data acquisition module is used to obtain the data on the correctness of infusion information through the Internet of Things. The information index acquisition module is used to obtain the infusion information correctness evaluation index based on the data on the correctness of infusion information, and the infusion information correctness evaluation index is used to reflect the accuracy of the infusion information of the infusion object. The infusion confirmation module is used to analyze the progress of the infusion and start the infusion according to the infusion information correctness evaluation index. The monitoring acquisition module is used to obtain the infusion status parameter data through real-time monitoring via the Internet of Things after the infusion starts. The index acquisition module is used to obtain the infusion status evaluation index based on the infusion status parameter data, and the infusion status evaluation index is used to refer to the data reflecting the infusion status of the infusion object. The analysis and regulation module is used to analyze the infusion situation and perform regulation according to the infusion status evaluation index.

Images