Smart city safe operation management method and system based on human and vehicle monitoring data

Abstract

The invention relates to a smart city safe operation management method and system based on human and vehicle monitoring data. The method comprises the steps of obtaining body parameters of a target person in real time based on a worn smart bracelet; judging the health state of the target person according to the body parameters and historical data; when the health state does not accord with a preset state threshold value, querying whether a target associated intelligent device exists in the intelligent bracelet or not; when the target associated intelligent device exists in the smart bracelet, determining a current danger type of the target associated intelligent device based on the position information, the operation information and the type of the target associated intelligent device; emergency rescue measures are generated according to the current danger type and health state of the target associated intelligent equipment, wherein the emergency rescue measures comprise figure rescue measures and equipment rescue measures; according to the invention, on the basis of monitoring the health state of the person, monitoring and rescue of the associated equipment are realized, the risk of the equipment side can be effectively reduced, and thus the safe operation of the smart city is effectively guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of smart city technology, and in particular to a smart city safe operation management method and system based on human and vehicle monitoring data. Background Art

[0002] With the deepening development of smart city concepts and the widespread adoption of IoT technology, urban safety management is shifting from a traditional passive response model to a proactive, preventative, and intelligently collaborative one. In key areas such as transportation, healthcare, and public safety, the key challenge in enhancing urban resilience is how to achieve risk prediction and efficient rescue through multi-source data integration. Traditional emergency response plans often focus on rescuing personnel (such as calling an ambulance) while neglecting risk management at the equipment level. Summary of the Invention

[0003] The present invention provides a smart city safe operation management method and system based on human and vehicle monitoring data to solve the technical problems mentioned in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A smart city safe operation management method based on human and vehicle monitoring data, the method comprising:

[0006] The target person's physical parameters, including body temperature, heart rate, and blood oxygen saturation (SpO2), are acquired in real time based on the smart bracelet being worn. The target person is the person wearing the smart bracelet. The target person's health status is determined based on the physical parameters and historical data. The health status is divided into level 1, level 2, and level 3, with the higher the level, the worse the target person's physical condition.

[0007] When the health status does not meet the preset status threshold, the smart bracelet is queried to see if there is a target associated smart device. The target associated smart device refers to an associated smart device that is within the preset communication distance from the smart bracelet and is connected to the smart bracelet (can be Bluetooth connection or other connection) and can perform data transmission. The types of associated smart devices include vehicle-mounted devices, sports equipment, smart home devices, audio equipment, etc.

[0008] When the smart bracelet has a target associated smart device, determining the current risk type of the target associated smart device based on the location information, operation information and type of the target associated smart device, wherein the risk type of the target associated smart device includes high risk type, medium risk type and low risk type;

[0009] Emergency rescue measures are generated according to the current danger type and health status of the target-associated smart device, and the emergency rescue measures include human rescue measures and equipment rescue measures.

[0010] As a further technical solution of the present invention, the step of obtaining the target person's physical parameters in real time based on the smart bracelet worn, and determining the target person's health status based on the physical parameters and historical parameters includes:

[0011] Acquire historical data of the target person, including basal body temperature, resting heart rate, daily HRV pattern, etc., and generate a personalized health baseline based on the historical data of the target person;

[0012] The current physical parameters of the target person are acquired in real time, including body temperature, heart rate, blood oxygen saturation (SpO2), etc. The health status of the target person is determined based on the personalized health baseline. The health status includes level one, level two, and level three. The higher the level, the worse the physical condition of the target person.

[0013] As a further technical solution of the present invention, when the health status does not meet the preset status threshold, the step of querying whether the smart bracelet has a target associated smart device includes:

[0014] comparing the health status with a preset status threshold;

[0015] When the health status does not meet the preset status threshold, query whether there is a target associated smart device in the smart bracelet. The target associated smart device refers to an associated smart device that is within a preset communication distance from the smart bracelet and is connected to the smart bracelet (can be a Bluetooth connection or other connection) and can perform data transmission. The types of associated smart devices include vehicle-mounted devices, sports equipment, smart home devices, audio equipment, etc.

[0016] When the smart bracelet does not have a target associated smart device, a rescue prompt message is sent to a pre-stored target contact, where the target contact includes relatives and a hospital rescue hotline. The rescue prompt message includes the target person's location information and current physical parameters.

[0017] As a further technical solution of the present invention, when the smart bracelet has a target associated smart device, the step of determining the current danger type of the target associated smart device based on the location information, operation information and type of the target associated smart device includes:

[0018] When the smart bracelet has a target associated smart device, obtain the location information, operation information, and type of the target associated smart device, wherein the operation information includes the operation status and operation parameters, and the operation status includes running and idle. When the type of the target associated smart device is a vehicle-mounted device, the operation parameter may be the vehicle speed; when the type of the target associated smart device is a sports device, the operation parameter may be the device operation power, device weight, etc.;

[0019] Preliminarily determine the risk type based on the type of the target-associated smart device and a preset device risk table, wherein the device risk table includes device type data items and corresponding risk type data items. Vehicle-mounted devices correspond to high-risk types, sports devices correspond to medium-risk types, and audio devices correspond to low-risk types.

[0020] The danger type is dynamically adjusted based on the location information and operation information of the target-associated smart device to obtain a current danger type of the target-associated smart device.

[0021] As a further technical solution of the present invention, the step of dynamically adjusting the risk type based on the location information and operation information of the target-associated smart device includes:

[0022] When the risk type is initially determined to be low risk based on the type of the target-associated smart device, there is no need to dynamically adjust the risk type;

[0023] When the risk type is preliminarily determined to be medium risk based on the type of the target associated smart device, obtaining the operating status of the target associated smart device; when the operating status is idle, determining that the risk type is reduced to low risk; when the operating status is running, determining that the risk type remains unchanged;

[0024] When the danger type is preliminarily determined to be high-risk based on the type of the target-associated smart device, that is, when the type of the target-associated smart device is a vehicle-mounted device, the danger type is adjusted according to the operating status of the target-associated smart device, that is, when the operating status is idle, the danger type is determined to be reduced to medium-risk; when the operating status is running, the danger type is determined to be unchanged.

[0025] As a further technical solution of the present invention, the method also includes: when there is a target-associated smart device on the smart bracelet, obtaining the location information of the target-associated smart device, and verifying and determining the location of the target person based on the location information of the target-associated smart device and the location information of the smart bracelet; when the distance between the target-associated smart device and the smart bracelet meets a preset threshold, determining the location information of the smart bracelet as the location information of the target person; when the distance between the target-associated smart device and the smart bracelet does not meet the preset threshold, determining the location of the target-associated smart device as the second location of the target person, determining the location information of the smart bracelet as the first location of the target person, and when the first location does not exist, determining the second location as the location of the target person.

[0026] As a further technical solution of the present invention, the step of generating emergency rescue measures according to the current danger type and health status of the target-associated smart device, wherein the emergency rescue measures include human rescue measures and device rescue measures, comprises:

[0027] When the current danger type of the target-associated smart device is low-risk, no device rescue measures are required, and only person rescue measures are generated. The person rescue measures include sending a rescue prompt message to a pre-stored target contact, and the rescue prompt message includes the location information of the target person.

[0028] When the current danger type of the target-associated smart device is medium-risk or high-risk, device rescue measures and person rescue measures are generated at the same time. When the danger type is preliminarily determined to be medium-risk based on the type of the target-associated smart device, the location information of the target-associated smart device is obtained, and a rescue prompt message is sent to the management end. The management end can be the owner of the device or the merchant management platform of the device, etc.

[0029] As a further technical solution of the present invention, when the risk type is preliminarily determined to be high-risk based on the type of the target-associated smart device, the generated device rescue measures include:

[0030] When the danger type is preliminarily determined to be high-risk based on the type of the target-associated smart device, that is, when the type of the target-associated smart device is a vehicle-mounted device, determining the vehicle where the vehicle-mounted device is located as the target vehicle, obtaining the position information and operating parameters of the target vehicle within the monitoring interval, determining a prompt area based on the position information and operating parameters of the target vehicle within the monitoring interval, obtaining vehicle information within the prompt area, the vehicle information including license plate information, driver information, etc., and sending a risk avoidance prompt message to the vehicles within the prompt area, the risk avoidance prompt message including the license plate number and position information of the target vehicle;

[0031] The generated equipment rescue measures also include sending vehicle rescue prompt information to the traffic management department.

[0032] Another object of the present invention is to provide a smart city safety operation management system based on human and vehicle monitoring data, the system comprising:

[0033] A health status determination module is used to obtain the physical parameters of a target person in real time based on the smart bracelet worn by the person, where the target person is the person wearing the smart bracelet; the health status of the target person is determined based on the physical parameters and historical data; the health status includes level one, level two, and level three, with the higher the level, the worse the target person's physical condition;

[0034] A target device determination module is used to query the smart bracelet for target associated smart devices when the health status does not meet the preset status threshold. The target associated smart devices refer to associated smart devices that are within a preset communication distance from the smart bracelet and are connected to the smart bracelet for data transmission. The types of associated smart devices include vehicle-mounted devices, sports equipment, smart home devices, audio equipment, etc.

[0035] a device risk type determination module, configured to determine the current risk type of a target-associated smart device based on the location information, operation information, and type of the target-associated smart device when the smart bracelet has a target-associated smart device, wherein the target-associated smart device risk type includes high risk, medium risk, and low risk;

[0036] The rescue measures generation module is used to generate emergency rescue measures according to the current danger type and health status of the target-associated smart device, and the emergency rescue measures include human rescue measures and equipment rescue measures.

[0037] As a further technical solution of the present invention, the equipment hazard type determination module includes:

[0038] a device information acquisition unit, configured to, when the smart bracelet has a target associated smart device, acquire the location information, operating information, and type of the target associated smart device, wherein the operating information includes operating status and operating parameters, wherein the operating status includes operating and idle. When the target associated smart device is a vehicle-mounted device, the operating parameter may be vehicle speed; when the target associated smart device is a sports device, the operating parameter may be device operating power, device weight, etc.;

[0039] a risk type preliminary determination unit, configured to preliminarily determine the risk type based on the type of the target-associated smart device and a preset device risk table, wherein the device risk table includes device type data items and corresponding risk type data items, wherein vehicle-mounted devices correspond to high-risk types, sports devices correspond to medium-risk types, and audio devices correspond to low-risk types;

[0040] The danger type dynamic adjustment unit is used to dynamically adjust the danger type based on the location information and operation information of the target-associated smart device to obtain the current danger type of the target-associated smart device.

[0041] Compared with the existing technology, the beneficial effects of the present invention are: the present invention provides a smart city safe operation management method and system based on human and vehicle monitoring data. The present invention realizes monitoring and rescue of related equipment on the basis of monitoring the health status of people, which can effectively reduce the risks on the equipment side, thereby effectively ensuring the safe operation of the smart city. At the same time, in the present invention, through the monitoring of related equipment, the rescue position of the target person can be effectively verified and confirmed, ensuring the rapid progress of rescue and improving rescue efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a flowchart of a smart city safety operation management method based on human and vehicle monitoring data.

[0043] Figure 2This is a flowchart of the steps for determining the health status in a smart city safety operation management method based on human and vehicle monitoring data.

[0044] Figure 3 This is a flowchart of the target device identification steps in a smart city safe operation management method based on human and vehicle monitoring data.

[0045] Figure 4 This is a flowchart of the steps for determining the equipment hazard type in a smart city safe operation management method based on human and vehicle monitoring data.

[0046] Figure 5 This is a flowchart for determining the steps for equipment emergency rescue measures in a smart city safe operation management method based on human and vehicle monitoring data.

[0047] Figure 6 This is a structural block diagram of a smart city safety operation and management system based on human and vehicle monitoring data.

[0048] Figure 7 This is a structural block diagram of the equipment hazard type determination module in a smart city safety operation management system based on human and vehicle monitoring data. DETAILED DESCRIPTION

[0049] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0050] like Figure 1 As shown, an embodiment of the present invention provides a smart city safe operation management method based on human and vehicle monitoring data, the method comprising:

[0051] Step S100: obtaining physical parameters of a target person in real time based on the smart bracelet being worn, the physical parameters including body temperature, heart rate, blood oxygen saturation (SpO2), etc. The target person is the person wearing the smart bracelet; determining the health status of the target person based on the physical parameters and historical data; the health status includes level 1, level 2, and level 3, with the higher the level, the worse the target person's physical condition;

[0052] Step S200: When the health status does not meet the preset status threshold, query the smart bracelet whether there is a target associated smart device. The target associated smart device refers to an associated smart device that is within a preset communication distance from the smart bracelet and is connected to the smart bracelet (can be a Bluetooth connection or other connection) and can perform data transmission. The types of associated smart devices include vehicle-mounted devices, sports equipment, smart home devices, audio equipment, etc.

[0053] Step S300: When the smart bracelet has a target associated smart device, determine the current risk type of the target associated smart device based on the location information, operation information, and type of the target associated smart device, where the risk type of the target associated smart device includes high risk, medium risk, and low risk.

[0054] Step S400: generating emergency rescue measures according to the current danger type and health status of the target-associated smart device, wherein the emergency rescue measures include human rescue measures and device rescue measures.

[0055] In an embodiment of the present invention, the physical parameters of the target person are obtained in real time based on the smart bracelet worn, and the health status of the target person's body is judged. When an abnormality occurs, the smart bracelet is queried to see whether there is a target-associated smart device. The current danger type of the device side is further determined based on the target-associated smart device. Based on the current danger type on the device side and the health status of the person, emergency rescue measures are determined. The emergency rescue measures include person rescue measures and equipment rescue measures. The present invention realizes monitoring and rescue of associated devices on the basis of monitoring the health status of the person, which can effectively reduce the risk on the device side, thereby effectively ensuring the safe operation of the smart city.

[0056] See also Figure 2 As a preferred embodiment of the present invention, the step of obtaining the target person's physical parameters in real time based on the smart bracelet worn, and determining the target person's health status based on the physical parameters and historical parameters includes:

[0057] Step S101, obtaining historical data of a target person, wherein the historical data includes basal body temperature, resting heart rate, daily HRV pattern, etc., and generating a personalized health baseline based on the historical data of the target person;

[0058] Step S102, obtaining the current physical parameters of the target person in real time, including body temperature, heart rate, blood oxygen saturation (SpO2), etc., and determining the health status of the target person based on the personalized health baseline. The health status includes level one, level two, and level three. The higher the level, the worse the physical condition of the target person.

[0059] See also Figure 3 As a preferred embodiment of the present invention, when the health status does not meet the preset status threshold, the step of querying whether the smart bracelet has a target associated smart device includes:

[0060] Step S201, comparing the health status with a preset status threshold;

[0061] Step S202: When the health status does not meet the preset status threshold, query the smart bracelet whether there is a target associated smart device. The target associated smart device refers to an associated smart device that is within a preset communication distance from the smart bracelet and is connected to the smart bracelet (can be a Bluetooth connection or other connection) and can perform data transmission. The types of associated smart devices include vehicle-mounted devices, sports equipment, smart home devices, audio equipment, etc.

[0062] Step S203: When the smart bracelet does not have a target associated smart device, a rescue prompt message is sent to a pre-stored target contact, where the target contact includes relatives and a hospital rescue hotline. The rescue prompt message includes the target person's location information and current physical parameters.

[0063] See also Figure 4 As a preferred embodiment of the present invention, when the smart bracelet has a target associated smart device, the step of determining the current danger type of the target associated smart device based on the location information, operation information and type of the target associated smart device includes:

[0064] Step S301: When the smart bracelet has a target associated smart device, obtain the location information, operation information, and type of the target associated smart device. The operation information includes an operation state and operation parameters. The operation state includes running and idle. When the target associated smart device is a vehicle-mounted device, the operation parameter may be the vehicle speed. When the target associated smart device is a sports device, the operation parameter may be the device operating power, device weight, etc.

[0065] Step S302: Preliminarily determine the risk type of the target-associated smart device based on its type and a preset device risk table. The device risk table includes device type data items and corresponding risk type data items. Vehicle-mounted devices correspond to high risk types, sports devices correspond to medium risk types, and audio devices correspond to low risk types.

[0066] Step S303 : Dynamically adjust the risk type based on the location information and operation information of the target-associated smart device to obtain the current risk type of the target-associated smart device.

[0067] As a preferred embodiment of the present invention, the step of dynamically adjusting the risk type based on the location information and operation information of the target-associated smart device includes:

[0068] When the risk type is initially determined to be low risk based on the type of the target-associated smart device, there is no need to dynamically adjust the risk type;

[0069] When the risk type is preliminarily determined to be medium risk based on the type of the target associated smart device, obtaining the operating status of the target associated smart device; when the operating status is idle, determining that the risk type is reduced to low risk; when the operating status is running, determining that the risk type remains unchanged;

[0070] When the danger type is preliminarily determined to be high-risk based on the type of the target-associated smart device, that is, when the type of the target-associated smart device is a vehicle-mounted device, the danger type is adjusted according to the operating status of the target-associated smart device, that is, when the operating status is idle, the danger type is determined to be reduced to medium-risk; when the operating status is running, the danger type is determined to be unchanged.

[0071] As a preferred embodiment of the present invention, the method further includes: when there is a target-associated smart device in the smart bracelet, obtaining the location information of the target-associated smart device, verifying and determining the location of the target person based on the location information of the target-associated smart device and the location information of the smart bracelet, and when the distance between the target-associated smart device and the smart bracelet meets the preset threshold, determining the location information of the smart bracelet as the location information of the target person; when the distance between the target-associated smart device and the smart bracelet does not meet the preset threshold, determining the location of the target-associated smart device as the second location of the target person, determining the location information of the smart bracelet as the first location of the target person, and when the first location does not exist, determining the second location as the location of the target person. The present invention can quickly determine the location of the target person based on the location on the device side, effectively improving the rescue efficiency, and similarly can determine the location of the target-associated device.

[0072] See also Figure 5 As a preferred embodiment of the present invention, the step of generating emergency rescue measures according to the current danger type and health status of the target-associated smart device, wherein the emergency rescue measures include human rescue measures and device rescue measures, comprises:

[0073] Step S401: When the current risk type of the target-associated smart device is low, no device rescue measures are generated, and only person rescue measures are generated. The person rescue measures include sending a rescue prompt message to a pre-stored target contact, and the rescue prompt message includes the location information of the target person.

[0074] In step S402, when the current danger type of the target-associated smart device is medium-risk or high-risk, device rescue measures and person rescue measures are generated simultaneously. When the danger type is preliminarily determined to be medium-risk based on the type of the target-associated smart device, the location information of the target-associated smart device is obtained, and a rescue prompt message is sent to the management end. The management end can be the mobile end of the device owner or the device merchant management platform, etc.

[0075] As a preferred embodiment of the present invention, when the risk type is preliminarily determined to be high-risk based on the type of the target-associated smart device, the generated device rescue measures include:

[0076] When the danger type is preliminarily determined to be high-risk according to the type of the target-associated intelligent device, that is, when the type of the target-associated intelligent device is a vehicle-mounted device, the vehicle where the vehicle-mounted device is located is determined to be the target vehicle, the position information and operating parameters of the target vehicle in the monitoring interval are obtained, and a prompt area is determined based on the position information and operating parameters of the target vehicle in the monitoring interval (specifically: first determine the danger coefficient according to the operating parameters (vehicle speed) of the target vehicle in the monitoring interval, danger coefficient=A*vehicle speed, A is a constant, determine the front and rear prompt distance range of the vehicle according to the danger coefficient, the danger coefficient is positively correlated with the front and rear prompt distance range of the vehicle, and determine the prompt area according to the front and rear prompt distance range of the vehicle and the position information of the target vehicle), obtain vehicle information existing in the prompt area, the vehicle information includes license plate number information, driver information, etc., and send risk avoidance prompt information to the vehicles in the prompt area, the risk avoidance prompt information including the license plate number and position information of the target vehicle;

[0077] The generated equipment rescue measures also include sending vehicle rescue prompt information (including the location of the target vehicle and the health status of the target person) to the traffic management department.

[0078] See also Figure 6 Another object of the present invention is to provide a smart city safety operation management system based on human and vehicle monitoring data, the system comprising:

[0079] The health status determination module 100 is used to obtain the physical parameters of the target person in real time based on the smart bracelet worn by the target person, where the target person is the person wearing the smart bracelet; and determine the health status of the target person based on the physical parameters and historical data; the health status includes level 1, level 2, and level 3, with the higher the level, the worse the target person's physical condition;

[0080] The target device determination module 200 is used to query the smart bracelet whether there is a target associated smart device when the health status does not meet the preset status threshold. The target associated smart device refers to an associated smart device that is within a preset communication distance from the smart bracelet and is connected to the smart bracelet (can be a Bluetooth connection or other connection) and can perform data transmission. The types of associated smart devices include vehicle-mounted devices, sports equipment, smart home devices, audio equipment, etc.

[0081] The device risk type determination module 300 is used to determine the current risk type of the target associated smart device based on the location information, operation information and type of the target associated smart device when the smart wristband has a target associated smart device. The target associated smart device risk type includes high risk type, medium risk type and low risk type;

[0082] The rescue measure generation module 400 is used to generate emergency rescue measures according to the current danger type and health status of the target-associated smart device, and the emergency rescue measures include human rescue measures and device rescue measures.

[0083] See also Figure 7 As a preferred embodiment of the present invention, the equipment risk type determination module 300 includes:

[0084] The device information acquisition unit 301 is used to obtain the location information, operation information and type of the target associated smart device when the smart bracelet has a target associated smart device. The operation information includes the operation status and operation parameters. The operation status includes running and idle. When the type of the target associated smart device is a vehicle-mounted device, the operation parameter may be the vehicle speed. When the type of the target associated smart device is a sports device, the operation parameter may be the device operation power, device weight, etc.

[0085] A risk type preliminary determination unit 302 is configured to preliminarily determine a risk type based on the type of the target-associated smart device and a preset device risk table, wherein the device risk table includes device type data items and corresponding risk type data items. Vehicle-mounted devices correspond to high risk types, sports devices correspond to medium risk types, and audio devices correspond to low risk types.

[0086] The risk type dynamic adjustment unit 303 is configured to dynamically adjust the risk type based on the location information and operation information of the target-associated smart device to obtain the current risk type of the target-associated smart device.

[0087] It should be noted that, in this document, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or apparatus that includes a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0088] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A smart city safe operation management method based on human and vehicle monitoring data, characterized in that: The method comprises: Obtaining physical parameters of a target person in real time based on a smart bracelet worn by the person, where the target person refers to the person wearing the smart bracelet; determining the health status of the target person based on the physical parameters and historical data; When the health status does not meet the preset status threshold, query the smart bracelet whether there is a target associated smart device, the target associated smart device refers to an associated smart device that is within a preset communication distance from the smart bracelet and is connected to the smart bracelet; When the smart bracelet has a target associated smart device, determining the current risk type of the target associated smart device based on the location information, operation information and type of the target associated smart device, wherein the risk type of the target associated smart device includes high risk type, medium risk type and low risk type; Emergency rescue measures are generated according to the current danger type and health status of the target-associated smart device, and the emergency rescue measures include human rescue measures and equipment rescue measures.

2. A smart city safe operation management method based on human and vehicle monitoring data according to claim 1, characterized in that: The steps of obtaining the target person's physical parameters in real time based on the smart bracelet being worn, and determining the target person's health status based on the physical parameters and historical parameters include: Obtain historical data of the target person and generate a personalized health baseline based on the historical data of the target person; The current physical parameters of the target person are acquired in real time, and the health status of the target person is determined based on the personalized health baseline.

3. The method for safe operation and management of a smart city based on human and vehicle monitoring data according to claim 1, characterized in that: When the health status does not meet the preset status threshold, the step of querying whether the smart bracelet has a target associated smart device includes: comparing the health status with a preset status threshold; When the health status does not meet the preset status threshold, query the smart bracelet whether there is a target associated smart device, the target associated smart device refers to an associated smart device that is within a preset communication distance from the smart bracelet and is in a connected state with the smart bracelet; When the smart bracelet does not have a target associated smart device, a rescue prompt message is sent to a pre-stored target contact, where the target contact includes relatives and a hospital rescue hotline. The rescue prompt message includes the target person's location information and current physical parameters.

4. The method for safe operation and management of a smart city based on human and vehicle monitoring data according to claim 1, characterized in that: When the smart bracelet has a target associated smart device, the step of determining the current danger type of the target associated smart device based on the location information, operation information, and type of the target associated smart device includes: When the smart bracelet has a target associated smart device, obtain the location information, operation information and type of the target associated smart device, wherein the operation information includes an operation state and operation parameters, and the operation state includes running and idle; Preliminarily determine the risk type according to the type of the target-associated smart device and a preset device risk table, wherein the device risk table includes a device type data item and its corresponding risk type data item, and the vehicle-mounted device corresponds to a high-risk type; The danger type is dynamically adjusted based on the location information and operation information of the target-associated smart device to obtain a current danger type of the target-associated smart device.

5. The method for safe operation and management of a smart city based on human and vehicle monitoring data according to claim 1 is characterized in that: The step of dynamically adjusting the risk type based on the location information and operation information of the target-associated smart device includes: When the risk type is initially determined to be low risk based on the type of the target-associated smart device, there is no need to dynamically adjust the risk type; When the risk type is preliminarily determined to be medium risk based on the type of the target associated smart device, obtaining the operating status of the target associated smart device; when the operating status is idle, determining that the risk type is reduced to low risk; when the operating status is running, determining that the risk type remains unchanged; When the danger type is preliminarily determined to be high-risk based on the type of the target-associated smart device, that is, when the type of the target-associated smart device is a vehicle-mounted device, the danger type is adjusted according to the operating status of the target-associated smart device, that is, when the operating status is idle, the danger type is determined to be reduced to medium-risk; when the operating status is running, the danger type is determined to be unchanged.

6. The method for safe operation and management of a smart city based on human and vehicle monitoring data according to claim 1 is characterized in that: The method further includes: when a target-associated smart device exists on the smart bracelet, obtaining location information of the target-associated smart device, verifying and determining the location of a target person based on the location information of the target-associated smart device and the location information of the smart bracelet, and when the distance between the target-associated smart device and the smart bracelet meets a preset threshold, determining the location information of the smart bracelet as the location information of the target person; when the distance between the target-associated smart device and the smart bracelet does not meet the preset threshold, determining the location of the target-associated smart device as the second location of the target person, determining the location information of the smart bracelet as the first location of the target person, and when the first location does not exist, determining the second location as the location of the target person.

7. The method for safe operation and management of a smart city based on human and vehicle monitoring data according to claim 1 is characterized in that: The step of generating emergency rescue measures according to the current danger type and health status of the target-associated smart device, wherein the emergency rescue measures include human rescue measures and device rescue measures, comprises: When the current danger type of the target-associated smart device is low-risk, no device rescue measures are required, and only person rescue measures are generated. The person rescue measures include sending a rescue prompt message to a pre-stored target contact, and the rescue prompt message includes the location information of the target person. When the current danger type of the target-associated smart device is medium-risk or high-risk, device rescue measures and human rescue measures are generated simultaneously.

8. The method for safe operation and management of a smart city based on human and vehicle monitoring data according to claim 1, characterized in that: When the risk type is preliminarily determined to be high-risk based on the type of the target-associated smart device, the generated device rescue measures include: When the danger type is preliminarily determined to be high-risk based on the type of the target-associated smart device, that is, when the type of the target-associated smart device is a vehicle-mounted device, determining the vehicle where the vehicle-mounted device is located as the target vehicle, obtaining the position information and operating parameters of the target vehicle within the monitoring interval, determining a prompt area based on the position information and operating parameters of the target vehicle within the monitoring interval, obtaining vehicle information within the prompt area, the vehicle information including license plate information, driver information, etc., and sending a risk avoidance prompt message to the vehicles within the prompt area, the risk avoidance prompt message including the license plate number and position information of the target vehicle; The generated equipment rescue measures also include sending vehicle rescue prompt information to the traffic management department.

9. A smart city safety operation management system based on human and vehicle monitoring data, characterized in that: The system comprises: A health status determination module is used to obtain the physical parameters of a target person in real time based on the smart bracelet worn by the person, where the target person refers to the person wearing the smart bracelet; and determine the health status of the target person based on the physical parameters and historical data; A target device determination module is used to query the smart bracelet whether there is a target associated smart device when the health status does not meet the preset status threshold. The target associated smart device refers to an associated smart device that is within a preset communication distance from the smart bracelet and is connected to the smart bracelet; a device risk type determination module, configured to determine the current risk type of a target-associated smart device based on the location information, operation information, and type of the target-associated smart device when the smart bracelet has a target-associated smart device, wherein the target-associated smart device risk type includes high risk, medium risk, and low risk; The rescue measures generation module is used to generate emergency rescue measures according to the current danger type and health status of the target-associated smart device, and the emergency rescue measures include human rescue measures and equipment rescue measures.

10. A smart city safety operation management system based on human and vehicle monitoring data according to claim 9, characterized in that: The equipment hazard type determination module includes: a device information acquisition unit, configured to acquire, when the smart bracelet has a target associated smart device, location information, operation information, and type of the target associated smart device, wherein the operation information includes an operation status and operation parameters, and the operation status includes running and idle; a risk type preliminary determination unit, configured to preliminarily determine the risk type according to the type of the target-associated smart device and a preset device risk table, wherein the device risk table includes a device type data item and its corresponding risk type data item; The danger type dynamic adjustment unit is used to dynamically adjust the danger type based on the location information and operation information of the target-associated smart device to obtain the current danger type of the target-associated smart device.

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