Emergency equipment positioning and efficiency deep analysis system based on Internet of Things technology

Abstract

The invention discloses an emergency equipment positioning and efficiency deep analysis system based on the Internet of Things technology, relates to the technical field of emergency equipment positioning, and aims to solve the technical problems of difficult equipment positioning and insufficient state monitoring in the prior art, and the system comprises a physiological index monitoring module which monitors the physiological index of a patient in real time and transmits data; the equipment identification and data acquisition module is used for acquiring emergency equipment data, sensing the working state of the emergency equipment and uploading the working state; the positioning basic module is used for providing equipment positioning reference signals and acquiring equipment position and state information; the data storage and transmission module is used for storing system data and realizing transmission and verification of the data among the modules; the equipment management and analysis module is used for monitoring the equipment position, analyzing the operation state and generating an equipment use instruction when the physiological indexes of the patient are abnormal; and an equipment scheduling module. The system has the advantages that the emergency equipment can be positioned in real time, and the working state can be accurately perceived.

Description

Technical Field

[0001] The present invention relates to the field of emergency equipment positioning technology, and more specifically, to an emergency equipment positioning and efficiency in-depth analysis system based on Internet of Things technology. Background Art

[0002] In the medical field, especially in emergency scenarios, quickly and accurately obtaining the required equipment and ensuring its efficient use are crucial to saving patients' lives. In existing technologies, some hospitals use manual recording of equipment location and status. This method is not only inefficient and prone to human error, but also makes it difficult for medical staff to quickly locate the required emergency equipment in emergency situations, resulting in precious treatment time being wasted. In addition, some hospitals have tried to use simple information systems to manage equipment, but these systems can only provide basic equipment registration information and cannot monitor the working status and performance of the equipment in real time. There is a lack of comprehensive analysis of key factors such as equipment usage frequency, usage time, maintenance records, and aging degree, making it difficult to accurately evaluate the actual performance of the equipment, resulting in the inability to reasonably allocate and efficiently utilize equipment resources. In view of this, we propose an emergency equipment positioning and performance in-depth analysis system based on Internet of Things technology. Summary of the Invention

[0003] The purpose of the present invention is to provide an emergency equipment positioning and performance in-depth analysis system based on Internet of Things technology to solve the technical problems of difficult equipment positioning and insufficient status monitoring in the prior art.

[0004] To solve the above technical problems, the present invention provides the following technical solutions: an emergency equipment positioning and performance in-depth analysis system based on Internet of Things technology, comprising: Physiological indicator monitoring module, which monitors patients' physiological indicators in real time and transmits data; Equipment identification and data collection module, which collects emergency equipment data, senses its working status and uploads it; The basic positioning module provides equipment positioning reference signals and obtains equipment location and status information; Data storage and transmission module, which stores system data and realizes data transmission and verification between modules; The device management and analysis module monitors the device location, analyzes the operating status, and generates device usage instructions when the patient's physiological indicators are abnormal; The equipment scheduling module locates equipment, screens idle equipment, and plans the optimal path after receiving instructions; The terminal and alarm module displays the equipment scheduling path information and triggers alarms when the patient's physiological indicators are abnormal or the equipment performance is insufficient.

[0005] Preferably, the physiological index monitoring module includes multiple types of sensors, specifically including a heart rate sensor, a blood pressure sensor, a blood oxygen saturation sensor and a body temperature sensor; Among them, the collected physiological index data constitutes the data vector ,in, Representative The specific values ​​of physiological indicators, is the total number of types of physiological indicators.

[0006] Preferably, the positioning basic module is collaboratively composed of a Bluetooth beacon module and an Internet of Things base station module; Bluetooth beacon modules are evenly deployed in key areas of the hospital, continuously transmitting Bluetooth signals to provide a stable reference signal for device positioning; The IoT base station module uses LoRa wireless communication technology, combined with the received Bluetooth beacon signal, and edge computing technology to obtain the location and status information of the device.

[0007] Preferably, the device identification and data acquisition module is an intelligent asset tag module attached to the surface of the emergency equipment, which integrates a Bluetooth signal receiving unit, a device status sensing unit, a data acquisition unit and a data transmission unit; The Bluetooth signal receiving unit is used to stably receive Bluetooth beacon signals and provide a basic information source for device positioning; The data acquisition unit collects data at pre-set time intervals. Collect key information of the equipment, including equipment number , device type , real-time coordinates , Usage Status and idle time , the collected device data is in tuples The form of presentation, where the use of state The value is 0 or 1. 0 indicates that the device is idle, and 1 indicates that the device is in use.

[0008] Preferably, the data storage and transmission module includes a data storage module and a data transmission module; The data storage module adopts a distributed database architecture to store patient physiological indicator data, medical equipment location and usage status information, and historical scheduling data; The data transmission module encapsulates the collected information into a standard data packet, which contains a start identifier, a data packet, CRC check data and an end identifier, i.e. ,in It is a set of data to be transmitted, including patient physiological indicators and equipment information.

[0009] Preferably, the device management and analysis module includes a device positioning and performance analysis module and a data analysis module; The equipment positioning and performance analysis module integrates real-time positioning, status monitoring, trajectory query, performance analysis, electronic fence, one-keyboard point and mobile terminal support functions; The data analysis module is based on the preset physiological index threshold vector And machine learning analysis model, when the patient's physiological indicators are abnormal, it determines the need for equipment use and generates corresponding instructions. When the collected physiological indicator vector A component in the Thresholds corresponding to physiological indicators When the patient's physiological indicators are abnormal; For equipment performance analysis, equipment performance indicators Comprehensively consider the frequency of equipment use , usage time , maintenance records and the aging of the equipment , calculated by the formula Calculate, where is the weight of each factor, and satisfies .

[0010] Preferably, the equipment management and analysis module further includes a data processing and judgment unit and a system detection and maintenance unit; The data processing and judgment unit retrieves, detects and calculates data, and judges the validity of the data based on the preset label. The preset value data label is , the change range label is , for the collected data , if both and If the condition is met, it is determined to be valid data. Let the number of valid data be The total amount of data is , calculate the effective data ratio ,when When the device is judged to be an idle device, is the ratio threshold.

[0011] Preferably, the equipment scheduling module includes an equipment positioning and scheduling module; The equipment positioning and scheduling module obtains the precise location of the equipment and receives the usage status signal sent by the equipment, updating the equipment usage status information in real time. When planning the optimal route, it comprehensively considers the hospital's road layout, real-time crowd density, and obstacle distribution factors; When a patient's condition worsens due to abnormal physiological indicators, the equipment positioning and scheduling module will prioritize the use of medical equipment that is closest to the patient and has good performance. Assume the patient's position is , the location of the device is , the efficiency of the equipment is , give priority to satisfying Greater than the set performance threshold And distance The smallest device, and Represent the patient position and the horizontal coordinate of the equipment, and Represent the patient position and the vertical coordinate of the equipment respectively.

[0012] Preferably, in the terminal and alarm module, the display modules of the medical staff terminal and the medical equipment control terminal adopt a high-definition display screen, which can clearly display the optimal path information and support touch operation and gesture control functions. The alarm module triggers an alarm when the patient's physiological indicators exceed the dangerous threshold or the equipment performance is lower than the set threshold.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The emergency equipment positioning and efficiency in-depth analysis system based on Internet of Things technology constructed by the present invention realizes the real-time positioning of emergency equipment and accurate perception of its working status with the help of the basic positioning module and the equipment identification and data acquisition module. Medical staff can quickly obtain equipment location information through the terminal and alarm module, which greatly shortens the time of searching for equipment and solves the problems of difficult equipment positioning and insufficient status monitoring in the existing technology.

[0014] 2. The present invention can also comprehensively consider factors such as the frequency of use, usage time, maintenance records, and aging degree of the equipment through the equipment management and analysis module in the system, and accurately calculate the equipment performance index. This helps hospitals to reasonably arrange the maintenance, update and deployment of equipment, avoid the use of low-performance equipment, further improve the utilization efficiency of equipment resources, and ensure that the equipment used in the emergency process is in good working condition, thereby providing patients with more reliable medical protection.

[0015] 3. The equipment management and analysis module of the present invention can generate equipment usage instructions when the patient's physiological indicators are abnormal. The equipment scheduling module plans the optimal path and schedules equipment based on the instructions to optimize the emergency treatment process, reduce treatment delays caused by improper equipment deployment, and comprehensively improve the success rate of emergency treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 Schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION

[0017] To facilitate those skilled in the art to understand the technical solution of the present invention, the technical solution of the present invention is further described with reference to the accompanying drawings.

[0018] Example 1, as Figure 1 As shown, an emergency equipment positioning and performance in-depth analysis system based on Internet of Things technology includes: Physiological indicator monitoring module, which monitors patients' physiological indicators in real time and transmits data; Equipment identification and data collection module, which collects emergency equipment data, senses its working status and uploads it; The basic positioning module provides equipment positioning reference signals and obtains equipment location and status information; Data storage and transmission module, which stores system data and realizes data transmission and verification between modules; The device management and analysis module monitors the device location, analyzes the operating status, and generates device usage instructions when the patient's physiological indicators are abnormal; The equipment scheduling module locates equipment, screens idle equipment, and plans the optimal path after receiving instructions; The terminal and alarm module displays the equipment scheduling path information and triggers alarms when the patient's physiological indicators are abnormal or the equipment performance is insufficient.

[0019] In an embodiment of the present invention, the physiological indicator monitoring module includes multiple types of sensors, including a heart rate sensor, a blood pressure sensor, a blood oxygen saturation sensor, and a body temperature sensor. These sensors are used to collect corresponding types of physiological indicator data in real time and accurately; Among them, the collected physiological index data constitutes the data vector ,in, Representative The specific values ​​of physiological indicators, is the total number of types of physiological indicators; Physiological indicator data is collected according to a fixed sampling period Periodic data collection is performed and transmitted to the data analysis module in the form of real-time data stream so that data processing and analysis can be carried out in a timely manner.

[0020] In an embodiment of the present invention, the positioning basic module is collaboratively composed of a Bluetooth beacon module and an Internet of Things base station module; Bluetooth beacon modules are evenly deployed in key areas of the hospital, continuously transmitting Bluetooth signals to provide a stable reference signal for device positioning; The IoT base station module uses LoRa wireless communication technology, combined with the received Bluetooth beacon signal, to obtain the location and status information of the device using edge computing technology; Assume the number of Bluetooth beacon modules is The coordinates of each Bluetooth beacon module are , the device receives the The signal strength of Bluetooth beacons is , according to the signal propagation model The equipment can be calculated to The distance of a Bluetooth beacon ,in, is the signal strength at 1 meter from the Bluetooth beacon, is the path loss index; By solving the system of equations: ;

[0021] Determine device coordinates To improve positioning accuracy, the weighted least squares method is used to solve the above equations. During the solution process, different weights are assigned to each equation according to the signal strength. , the weight calculation method is ; After obtaining the estimated coordinates of the device, the IoT base station module compares and verifies them with the records of the medical equipment management system. If the error between the two exceeds the pre-set threshold, , then restart the positioning calculation program.

[0022] In an embodiment of the present invention, the device identification and data collection module is an intelligent asset tag module attached to the surface of the emergency equipment, which integrates a Bluetooth signal receiving unit, a device status sensing unit, a data collection unit, and a data transmission unit; The Bluetooth signal receiving unit is used to stably receive Bluetooth beacon signals and provide a basic information source for device positioning; The data acquisition unit collects data at pre-set time intervals. Collect key information of the equipment, including equipment number , device type , real-time coordinates , Usage Status and idle time , the collected device data is in tuples The form of presentation, where the use of state The value is 0 or 1, 0 means the device is idle, 1 means the device is in use; The data transmission unit uses LoRa technology to encapsulate and encode the collected data and upload it to the system; in addition, the data acquisition unit regularly performs consistency checks and error correction operations on the collected data to ensure the accuracy and integrity of the data transmission process.

[0023] In an embodiment of the present invention, the data storage and transmission module includes a data storage module and a data transmission module; The data storage module adopts a distributed database architecture to store patient physiological indicator data, medical equipment location and usage status information, and historical scheduling data; data is stored in a time series format to facilitate subsequent data query and analysis; The data transmission module encapsulates the collected information into a standard data packet, which contains a start identifier, a data packet, CRC check data and an end identifier, i.e. ,in The data set to be transmitted includes patient physiological indicators and device information; During the data transmission process, the data transmission module uses a symmetric encryption algorithm to encrypt the data packet to ensure the security of data transmission. After receiving the data packet, the IoT base station module verifies the CRC check data. If the verification fails, it sends a request to the data transmission module to resend the data packet.

[0024] In an embodiment of the present invention, the device management and analysis module includes a device positioning and performance analysis module and a data analysis module; The equipment positioning and performance analysis module integrates real-time positioning, status monitoring, trajectory query, performance analysis, electronic fence, one-keyboard point and mobile terminal support functions; Among them, the real-time positioning function uses information provided by the positioning basic module to display the device's location in real time on an electronic map; the status monitoring function continuously monitors the device's usage status and operating parameters; the trajectory query function allows users to view the movement trajectory of the device within a specified time period; the efficiency analysis function evaluates the device's usage efficiency and performance; the electronic fence function can set the device's activity range and trigger an alarm when the device exceeds the range; the one-keyboard function can quickly inventory the status of all devices; and the mobile terminal support function allows medical staff to access system information at any time through mobile devices. The data analysis module is based on the preset physiological index threshold vector And machine learning analysis model, when the patient's physiological indicators are abnormal, it determines the need for equipment use and generates corresponding instructions. When the collected physiological indicator vector A component in the Thresholds corresponding to physiological indicators When the patient's physiological indicators are abnormal; For equipment performance analysis, equipment performance indicators Comprehensively consider the frequency of equipment use , usage time , maintenance records and the aging of the equipment , calculated by the formula Calculate, where is the weight of each factor, and satisfies ; The machine learning analysis model used in the data analysis module is the random forest classifier, and the training data is ,in The patient's physiological index data, To determine whether the device label needs to be called. ,The random forest classifier performs classification by constructing multiple ,decision trees. Each decision tree randomly selects some features and samples for training during ,the training process, and finally determines the prediction result by voting. ,The random forest classifier model is regularly updated and optimized ,according to historical scheduling data to improve prediction accuracy.

[0025] In an embodiment of the present invention, the device management and analysis module further includes a data processing and judgment unit and a system detection and maintenance unit; The data processing and judgment unit retrieves, detects and calculates data, and judges the validity of the data based on the preset label. The preset value data label is , the change range label is , for the collected data , if both and If the condition is met, it is determined to be valid data. Let the number of valid data be The total amount of data is , calculate the effective data ratio ,when When the device is judged to be an idle device, is the ratio threshold; The system detection and maintenance unit regularly detects the performance and load of the system, and uses performance indicator monitoring tools (such as CPU usage, memory usage, and network bandwidth) to monitor the system operation status in real time. If it is found that the system performance indicators are out of the normal range, the fault diagnosis and repair procedures will be initiated. At the same time, the unit backs up and stores system data and logs, using incremental backup to reduce backup time and storage space usage, thereby optimizing system performance and enhancing security.

[0026] In an embodiment of the present invention, the device scheduling module includes a device positioning and scheduling module; The equipment positioning and scheduling module communicates with the medical equipment's built-in GPS, Beidou, and UWB positioning chips to obtain the precise location of the equipment. It also receives usage status signals from the equipment and updates the equipment's usage status information in real time. When planning the optimal route, it comprehensively considers the hospital's road layout, real-time crowd density, and obstacle distribution. Using evaluation function Perform path planning, ,in From the starting point to the node The actual cost is calculated based on the path length and difficulty. Slave nodes Heuristic estimated cost to the target node, estimated using Manhattan distance; When a patient's condition worsens due to abnormal physiological indicators, the equipment positioning and scheduling module will prioritize the use of medical equipment that is closest to the patient and has good performance. Assume the patient's position is , the location of the device is , the efficiency of the equipment is , give priority to satisfying Greater than the set performance threshold And distance The smallest device, and Represent the patient position and the horizontal coordinate of the equipment, and Represent the patient position and the vertical coordinate of the equipment respectively.

[0027] In the embodiment of the present invention, the display modules of the medical staff terminal and the medical equipment control terminal in the terminal and alarm module adopt high-definition display screens, which can clearly display the optimal path information and support touch operation and gesture control functions, so as to facilitate interactive operation by medical staff; The alarm module triggers an alarm when the patient's physiological indicators exceed the dangerous threshold or the equipment performance is lower than the set threshold. The dangerous threshold vector is , when the collected physiological index vector A component in When the alarm module sends out an audible and visual alarm signal, and sends a push message to the medical staff terminal; the device efficiency setting threshold is , when the performance of the equipment , the alarm is also triggered.

[0028] The embodiments disclosed in the present invention are preferred embodiments, but are not limited to them. Ordinary technicians in this field can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. As long as they do not deviate from the spirit of the present invention, they are all within the scope of protection of the present invention.

Claims

1. An emergency equipment positioning and performance in-depth analysis system based on Internet of Things technology, characterized by: include: Physiological indicator monitoring module, which monitors patients' physiological indicators in real time and transmits data; Equipment identification and data collection module, which collects emergency equipment data, senses its working status and uploads it; The basic positioning module provides equipment positioning reference signals and obtains equipment location and status information; Data storage and transmission module, which stores system data and realizes data transmission and verification between modules; The device management and analysis module monitors the device location, analyzes the operating status, and generates device usage instructions when the patient's physiological indicators are abnormal; The equipment scheduling module locates equipment, screens idle equipment, and plans the optimal path after receiving instructions; The terminal and alarm module displays the equipment scheduling path information and triggers alarms when the patient's physiological indicators are abnormal or the equipment performance is insufficient.

2. The system for emergency equipment positioning and efficiency in-depth analysis based on Internet of Things technology according to claim 1 is characterized in that: The physiological index monitoring module includes multiple types of sensors, including a heart rate sensor, a blood pressure sensor, a blood oxygen saturation sensor, and a body temperature sensor; Among them, the collected physiological index data constitutes the data vector ,in, Representative The specific values ​​of physiological indicators, is the total number of types of physiological indicators.

3. The system for emergency equipment positioning and efficiency in-depth analysis based on Internet of Things technology according to claim 2 is characterized in that: The positioning basic module is composed of a Bluetooth beacon module and an Internet of Things base station module; Bluetooth beacon modules are evenly deployed in key areas of the hospital, continuously transmitting Bluetooth signals to provide a stable reference signal for device positioning; The IoT base station module uses LoRa wireless communication technology, combined with the received Bluetooth beacon signal, and edge computing technology to obtain the location and status information of the device.

4. The system for emergency equipment positioning and efficiency in-depth analysis based on Internet of Things technology according to claim 3 is characterized in that: The device identification and data acquisition module is an intelligent asset tag module attached to the surface of the emergency equipment, which integrates a Bluetooth signal receiving unit, a device status sensing unit, a data acquisition unit and a data transmission unit; The Bluetooth signal receiving unit is used to stably receive Bluetooth beacon signals and provide a basic information source for device positioning; The data acquisition unit collects data at pre-set time intervals. Collect key information of the equipment, including equipment number , device type , real-time coordinates , Usage Status and idle time , the collected device data is in tuples The form of presentation, where the use of state The value is 0 or 1. 0 indicates that the device is idle, and 1 indicates that the device is in use.

5. The system for emergency equipment positioning and efficiency in-depth analysis based on Internet of Things technology according to claim 4 is characterized in that: The data storage and transmission module includes a data storage module and a data transmission module; The data storage module adopts a distributed database architecture to store patient physiological indicator data, medical equipment location and usage status information, and historical scheduling data; The data transmission module encapsulates the collected information into a standard data packet, which contains a start identifier, a data packet, CRC check data and an end identifier, i.e. ,in It is a set of data to be transmitted, including patient physiological indicators and equipment information.

6. The system for emergency equipment positioning and efficiency in-depth analysis based on Internet of Things technology according to claim 5 is characterized in that: The equipment management and analysis module includes an equipment positioning and performance analysis module and a data analysis module; The equipment positioning and performance analysis module integrates real-time positioning, status monitoring, trajectory query, performance analysis, electronic fence, one-keyboard point and mobile terminal support functions; The data analysis module is based on the preset physiological index threshold vector And machine learning analysis model, when the patient's physiological indicators are abnormal, it determines the need for equipment use and generates corresponding instructions. When the collected physiological indicator vector A component in the Thresholds corresponding to physiological indicators When the patient's physiological indicators are abnormal; For equipment performance analysis, equipment performance indicators Comprehensively consider the frequency of equipment use , usage time , maintenance records and the aging of the equipment , calculated by the formula Calculate, where is the weight of each factor, and satisfies .

7. The system for emergency equipment positioning and efficiency in-depth analysis based on Internet of Things technology according to claim 6 is characterized in that: The equipment management and analysis module also includes a data processing and judgment unit and a system detection and maintenance unit; The data processing and judgment unit retrieves, detects and calculates data, and judges the validity of the data based on the preset label. The preset value data label is , the change range label is , for the collected data , if both and If the condition is met, it is determined to be valid data. Let the number of valid data be The total amount of data is , calculate the effective data ratio ,when When the device is judged to be an idle device, is the ratio threshold.

8. The system for emergency equipment positioning and efficiency in-depth analysis based on Internet of Things technology according to claim 7 is characterized in that: The equipment scheduling module includes an equipment positioning and scheduling module; The equipment positioning and scheduling module obtains the precise location of the equipment and receives the usage status signal sent by the equipment, updating the equipment usage status information in real time. When planning the optimal route, it comprehensively considers the hospital's road layout, real-time crowd density, and obstacle distribution factors; When a patient's condition worsens due to abnormal physiological indicators, the equipment positioning and scheduling module will prioritize the use of medical equipment that is closest to the patient and has good performance. Assume the patient's position is , the location of the device is , the efficiency of the equipment is , give priority to satisfying Greater than the set performance threshold And distance The smallest device, and Represent the patient position and the horizontal coordinate of the equipment, and Represent the patient position and the vertical coordinate of the equipment respectively.

9. The system for emergency equipment positioning and performance in-depth analysis based on Internet of Things technology according to claim 8 is characterized in that: In the terminal and alarm module, the display modules of the medical staff terminal and the medical equipment control terminal use high-definition display screens, which can clearly display the optimal path information and support touch operation and gesture control functions. The alarm module triggers an alarm when the patient's physiological indicators exceed the dangerous threshold or the equipment performance is lower than the set threshold.

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