Health state monitoring method and device, storage medium and electronic device

Abstract

The invention discloses a health state monitoring method and device, a storage medium, an electronic device and a computer program product. The method comprises the following steps: acquiring image information of a target object in a to-be-monitored area; calling a preset recognition model to recognize the image information of the target object, and determining identity information of the target object; when it is determined that the identity information of the target object is correct, real-time health parameters of the target object are collected, and a health file of the target object is called; and determining the health state of the target object according to the real-time health parameters and the health file of the target object. The real-time health parameters and the health archives are combined for analysis, instant health early warning and long-term health trend prediction can be provided, potential health problems can be early warned, and therefore accurate and timely health monitoring is achieved.

Description

Technical Field

[0001] The present application relates to the field of health monitoring, and specifically, to a method and device for monitoring health status, a storage medium, an electronic device, and a computer program product. Background Art

[0002] In the current rapidly developing energy sector, especially in the construction and maintenance of wind farms, the health status of construction workers has become one of the key factors to ensure safe production and construction progress. Wind farms are often located in remote locations with harsh environmental conditions, such as high altitudes, extreme climates (high temperatures, low temperatures, strong winds, heavy snow, etc.), and closed or semi-enclosed spaces, which pose severe challenges to the health of construction workers. In addition, high-risk activities such as high-altitude operations, mechanical operations, and electrical operations involved in the construction of wind farms have put forward higher requirements on the health and safety of construction workers.

[0003] In related technologies, health monitoring mainly relies on construction workers to undergo regular health examinations and then submit the examination reports to the wind farm management department.

[0004] However, although the periodic physical examination of related technologies can provide health status over a period of time, it cannot reflect the immediate health changes of construction workers in a specific environment in real time. This means that if the health status of construction workers suddenly deteriorates between two physical examinations, the wind farm cannot take timely measures, increasing production safety risks. Summary of the invention

[0005] Embodiments of the present application provide a method and device for monitoring health status, a storage medium, an electronic device, and a computer program product.

[0006] According to one aspect of an embodiment of the present application, a method for monitoring health status is provided, the method comprising: acquiring image information of a target object in a monitored area; calling a preset recognition model to recognize the image information of the target object, and determining the identity information of the target object; when it is determined that the identity information of the target object is correct, collecting real-time health parameters of the target object, and calling the health record of the target object; determining the health status of the target object based on the real-time health parameters and health record of the target object.

[0007] In an exemplary embodiment, when it is determined that the identity information of the target object is correct, collecting the real-time health parameters of the target object and calling the health record of the target object include: when it is determined that the identity information of the target object is correct, collecting the real-time health parameters of the target object through a sensor device worn by the target object; and calling the health record of the target object in the archive based on the identity information of the target object.

[0008] In an exemplary embodiment, determining the health status of the target object based on the real-time health parameters and health record of the target object includes: determining the historical health abnormality information of the target object based on the health record of the target object; determining the target health indicator related to the historical health abnormality information based on the historical health abnormality information; and determining the health status of the target object based on the numerical value of the target health indicator in the real-time health parameters.

[0009] In an exemplary embodiment, after determining the health status of the target object based on the real-time health parameters and health record of the target object, the method further includes: determining the target area that the target object is allowed to enter based on the health record of the target object; and issuing an early warning if the area where the target object is currently located does not belong to the target area.

[0010] In an exemplary embodiment, after calling a preset recognition model to recognize the image information of the target object and determining the identity information of the target object, the method further includes: issuing a warning when it is determined that the identity information of the target object does not match the registered identity information; issuing a warning when it is determined that the health status of the target object does not meet the standard.

[0011] In an exemplary embodiment, when it is determined that the identity information of the target object is correct, before collecting the real-time health parameters of the target object and calling the health record of the target object, the method also includes: collecting qualification information and health information of multiple objects; archiving the qualification information and health information of multiple objects to construct an archive library, wherein the archive library includes health records of multiple objects.

[0012] According to another aspect of an embodiment of the present application, a device for determining a health status is also provided, including: an image acquisition module, used to acquire image information of a target object in a monitored area; an identity determination module, used to call a preset recognition model to identify the image information of the target object and determine the identity information of the target object; an information acquisition module, used to collect real-time health parameters of the target object and call the health record of the target object when it is determined that the identity information of the target object is correct; a health status determination module, used to determine the health status of the target object based on the real-time health parameters and health record of the target object.

[0013] According to another aspect of the embodiment of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned health status monitoring method when running.

[0014] According to another aspect of an embodiment of the present application, an electronic device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the health status monitoring method through the computer program.

[0015] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0016] The above-mentioned health status monitoring method can obtain the image information of each person entering or active in the monitored area by acquiring the image information of the target object in the monitored area. Then, the preset recognition model is called to identify the image information of the target object, which can perform high-precision identity recognition, improve the safety of the wind farm, and ensure the accuracy of health monitoring. The collection of real-time health parameters and the integration of health records can provide a comprehensive perspective for judging the health status of personnel, and can promptly detect abnormalities in personnel health, take preventive measures, and reduce the occurrence of safety accidents. By combining real-time health parameters with health records for analysis, it can provide immediate health warnings and long-term health trend predictions, and can also warn of potential health problems, thereby achieving accurate and timely health monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 is a hardware structure block diagram of the health status monitoring method of the embodiment of the present application;

[0020] Figure 2 is a flow chart of a method for monitoring health status according to an embodiment of the present application;

[0021] Figure 3 is a second flowchart of a method for monitoring health status according to an embodiment of the present application;

[0022] Figure 4 is a flowchart of a health status monitoring method according to an embodiment of the present application;

[0023] Figure 5 is a fourth flow chart of a method for monitoring health status according to an embodiment of the present application;

[0024] Figure 6 is a fifth flow chart of a method for monitoring health status according to an embodiment of the present application;

[0025] Figure 7 is a sixth flowchart of a method for monitoring health status according to an embodiment of the present application;

[0026] Figure 8 It is a structural block diagram of a health status monitoring device according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, the process, method, system, product or equipment comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0029] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal of the health status monitoring method of the embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1The computer terminal includes a processor 102 (only one is shown in the figure) (the processor 102 may include but is not limited to a microprocessor (Microprocessor Unit, MPU for short) or a programmable logic device (PLD for short)) and a memory 104 for storing data. In an exemplary embodiment, the computer terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Equivalent functions or comparisons shown Figure 1 A different configuration with more features is shown.

[0030] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the health status monitoring method in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0031] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0032] In this embodiment, a method for monitoring health status is provided. Figure 2 : is a flow chart of an optional health status monitoring method according to an embodiment of the present application, the process includes the following steps S200-S230:

[0033] Step S200: acquiring image information of a target object in the area to be monitored.

[0034] Specifically, image acquisition devices, such as high-definition cameras and infrared thermal imagers, can be deployed in key areas of the monitored area (e.g., wind farms) to capture images of the target object's face, body features, or specific locations. The acquisition of image information is not limited to static photos, but may also include video streams to facilitate subsequent identity verification and behavior analysis.

[0035] Step S210: calling a preset recognition model to recognize the image information of the target object and determine the identity information of the target object.

[0036] Specifically, a recognition model based on deep learning technology can be pre-trained to recognize the facial features, biometrics, or unique identifiers on the construction workers' wearable devices. When the image information is collected, the system calls this recognition model to compare the image features with the personnel information stored in the health record to determine the identity of the target object.

[0037] Step S220, when it is determined that the identity information of the target object is correct, real-time health parameters of the target object are collected, and the health record of the target object is called.

[0038] Specifically, once the identity of the target object is confirmed by the system, the system will activate the monitoring equipment corresponding to the health record of the person, such as smart wearable devices (smart bracelets, watches, health monitoring vests, etc.), which will transmit the health parameter data of the target object in real time, such as heart rate, blood pressure, blood oxygen saturation, etc. At the same time, the system will call the health record of the construction worker to obtain his historical health data and qualification information.

[0039] Step S230, determining the health status of the target object based on the real-time health parameters and health records of the target object.

[0040] Specifically, based on real-time health parameters and historical data in health records, health analysis algorithms or models are used to conduct comprehensive assessments to determine the health status of construction workers. This can enable instant analysis of health data, such as abnormal heart rate and blood pressure changes, as well as prediction of long-term trends, such as disease risk assessment.

[0041] In this embodiment, by acquiring the image information of the target object in the area to be monitored, the image information of each person entering or active in the area to be monitored can be acquired. Then, the preset recognition model is called to identify the image information of the target object, which can perform high-precision identity recognition, improve the safety of the wind farm, and ensure the accuracy of health monitoring. The collection of real-time health parameters and the integration of health records can provide a comprehensive perspective for judging the health status of personnel, and can promptly detect abnormalities in the health of personnel, take preventive measures, and reduce the occurrence of safety accidents. By combining real-time health parameters with health records for analysis, it is possible to provide immediate health warnings and long-term health trend predictions, and can also warn of potential health problems, thereby achieving accurate and timely health monitoring.

[0042] In one embodiment, Figure 3 As shown, in step S220, when it is determined that the identity information of the target object is correct, the real-time health parameters of the target object are collected, and the health file of the target object is called. It includes: steps S300-S310:

[0043] Step S300, when it is determined that the identity information of the target object is correct, real-time health parameters of the target object are collected through a sensor device worn by the target object.

[0044] Specifically, after successful identity authentication, the system automatically identifies the smart wearable devices that match the identity of the construction workers. These devices are equipped with various biosensing technologies, such as heart rate monitors, blood pressure sensors, blood oxygen detectors, thermometers, and accelerometers, which are used to monitor the physiological indicators and behavioral data of construction workers in real time. The system establishes a wireless communication connection with the wearable devices and regularly or continuously receives real-time health parameters transmitted by these devices to ensure the continuity and timeliness of the data. After the data is received, it is uploaded to the central monitoring system as the basis for subsequent health status analysis.

[0045] Step S310: Based on the identity information of the target object, the health record of the target object is called in the archive.

[0046] Specifically, after confirming the identity of the construction worker, the system can quickly retrieve and call the complete health record of the person from the health record library based on his / her identity (such as name, ID number or unique identification code in the system). The health record contains basic personal information, historical health certificates, physical examination reports, qualification survey results, previous real-time health monitoring data, and historical alarm records. After calling the health record, the system can compare and analyze the real-time health parameters of the construction worker with the historical health data, evaluate his / her current health status, and identify potential health risks or abnormal trends.

[0047] In this embodiment, the safety of construction workers is enhanced through real-time health monitoring. It is possible to immediately detect health abnormalities of construction workers, such as a fast heart rate, increased blood pressure, or decreased blood oxygen saturation, so that necessary intervention measures can be taken in time to prevent health problems from evolving into safety accidents. Identity verification ensures the accuracy and reliability of the data. Health parameters are collected only after the identity information is confirmed to be correct, which avoids data confusion or misreporting, ensures the accurate correspondence between monitoring data and specific construction workers, and improves the accuracy and efficiency of health monitoring. Personalized health record management improves the health and safety management level of wind farms. The health records of construction workers are called based on their identity information, allowing wind farms to adjust safety procedures and work arrangements in real time according to personal health status and work qualifications, ensuring that the health and safety of each construction worker are fully concerned and properly managed.

[0048] In one embodiment, Figure 4 As shown, step S230 determines the health status of the target object according to the real-time health parameters and health records of the target object. It includes: steps S400-S420:

[0049] Step S400, determining the historical health abnormality information of the target object according to the health record of the target object.

[0050] Specifically, after calling the health record of the target object, the system will automatically analyze the historical health data in the record and identify any previous abnormal health records. This includes but is not limited to previous illnesses, surgical history, drug allergies, abnormal physical examination results, etc. This information is crucial to understanding the health status of construction workers. The system extracts this historical health abnormality information as the key basis for subsequent health status judgment.

[0051] Step S410, determining a target health indicator related to the historical health abnormality information according to the historical health abnormality information.

[0052] Specifically, based on historical health abnormality information, determine which health indicators need special attention. For example, if a construction worker has a history of high blood pressure, then blood pressure becomes a target health indicator that needs to be monitored; if there is a history of respiratory disease, blood oxygen saturation and respiratory rate become the focus. The system lists these target health indicators that are closely related to historical health abnormality information for subsequent real-time health monitoring and analysis.

[0053] Step S420, determining the health status of the target object based on the value of the target health indicator in the real-time health parameter.

[0054] Specifically, the health parameters collected in real time are compared with the target health indicators determined above. By analyzing the real-time values ​​of the target health indicators, combined with their historical levels and standard health ranges, the system can assess the current health status of the construction workers. If the real-time values ​​deviate from the normal range or are consistent with historical abnormal information, the system will issue a health warning, prompting relevant personnel to pay close attention to the health of the construction workers or take necessary medical intervention measures.

[0055] In this embodiment, by analyzing the health records of construction workers, the system can identify health indicators that require special attention, avoid blind monitoring of all health indicators, and improve monitoring efficiency and resource utilization. The use of historical health abnormality information enables the system to warn of possible health problems in advance, especially when construction workers enter a high-risk working environment, and take timely measures to prevent the deterioration of health conditions. Based on the individual health history of construction workers, the system can provide personalized health monitoring and management solutions to ensure that each construction worker receives the most appropriate safety guidance and services for their health status. By accurately identifying key health indicators, it is possible to distinguish between conditions that require urgent attention and normal physiological changes, avoid excessive medical intervention, and ensure that construction workers who really need help can receive timely medical support. Based on the comprehensive analysis of historical data and real-time monitoring data, the management of the wind farm is provided with a data-driven decision-making basis, enabling them to reasonably arrange construction tasks and optimize human resource allocation based on accurate health status judgments, thereby improving the safety and efficiency of the overall operation.

[0056] In one embodiment, Figure 5 As shown, after determining the health status of the target object according to the real-time health parameters and health records of the target object in step S230, the method further includes steps S500-S510:

[0057] Step S500: determining the target area that the target object is allowed to enter according to the health record of the target object.

[0058] Specifically, based on the content of the target person’s health record, the wind farm areas that they are suitable to enter are analyzed and determined based on their personal health status and qualifications. Information such as disease history, physical condition and professional qualifications recorded in the health record will be used to determine whether construction workers are suitable to work in specific areas, and which areas may pose risks to their health.

[0059] Step S510: When the area where the target object is currently located does not belong to the target area, an early warning is issued.

[0060] Specifically, the target object can be located, and if it is found that the area where the construction worker is located does not match the permitted area determined according to his health record, a safety warning will be issued immediately. The warning can be communicated to relevant personnel in a variety of ways, including on-site alarms, mobile phone application notifications, emails or text messages, ensuring that construction workers and site managers can quickly receive information and take timely measures to avoid health risks or safety accidents.

[0061] For example, people who have cerebral infarction risk indicators in their physical examination reports or have experienced cerebral infarction cannot do excessive physical labor; people with implanted pacemakers cannot go to strong magnetic areas; people who are color blind or do not have an electrician's certificate cannot perform circuit modifications; people who do not have a height climbing certificate or have acrophobia cannot climb wind turbines or perform other high-altitude operations; those without a seaman's certificate cannot enter offshore platforms for operations.

[0062] In this embodiment, by intelligently analyzing the health records of construction workers, the system can accurately determine the appropriate work area for construction workers, effectively preventing safety accidents caused by health reasons, while avoiding unnecessary waste of human resources, and improving the construction efficiency and work safety of wind farms. Continuous monitoring of the location and health status of construction workers. Once potential risks are discovered, the system can issue early warnings in a timely manner to ensure rapid on-site response and take necessary intervention measures, such as adjusting work arrangements, providing medical assistance or safe evacuation.

[0063] In one embodiment, Figure 6 As shown, in step S210, a preset recognition model is called to recognize the image information of the target object. After the identity information of the target object is determined, the method further includes steps S600-S610:

[0064] Step S600: When it is determined that the identity information of the target object does not match the registered identity information, an early warning is issued.

[0065] Specifically, before wind farm construction workers enter a specific area or start work, they will use biometric technology (such as facial recognition, fingerprint recognition) or the identity verification function of wearable devices to confirm their identities. If the system finds that the current identity information does not match the pre-registered identity information, such as someone using a forged identity to enter the wind farm or an unauthorized person trying to enter, the system will immediately activate the early warning mechanism. The early warning information will be sent to the wind farm's safety managers and relevant persons in charge so that they can take timely actions, such as on-site verification, termination of unauthorized personnel's access, etc., to ensure that the safety of the wind farm is not affected.

[0066] Step S610: When it is determined that the health status of the target object does not meet the standard, an early warning is issued.

[0067] Specifically, the current health status of construction workers is analyzed based on their real-time health parameters and historical health records. If health parameters show that construction workers are in a high-risk state, such as abnormally high blood pressure, fast heart rate, or blood oxygen saturation below the safe threshold, or if health records show that they have medical conditions that make them unsuitable for performing specific tasks, the system will automatically issue a health warning. The warning information will be conveyed to the construction workers themselves, their supervisors, and the wind farm's medical team to ensure that the construction workers can receive timely medical attention and stop their work if necessary to avoid deterioration of their health or safety accidents.

[0068] In this embodiment, identity information matching and identification are performed to enhance the security of the wind farm. By instantly identifying and warning of unauthorized or impersonated identities, the system can effectively prevent illegal intrusions, ensure the equipment safety of the wind farm and the order of the construction environment, and reduce potential safety hazards. The early warning mechanism helps to quickly identify possible qualification issues, avoid unqualified personnel from participating in construction, and ensure that all construction tasks are completed by personnel with corresponding capabilities and qualifications, thereby improving construction quality and efficiency. Through early warning of substandard health status, it can ensure that construction personnel work when their physical condition permits, reduce the probability of safety accidents caused by health problems, and protect the safety of construction personnel. It can dynamically adjust work tasks and work areas according to the real-time health status of construction personnel, avoid inappropriate staffing in high-risk areas, and improve the professionalism and refinement of health management.

[0069] In one embodiment, Figure 7 As shown, in step S220, when it is determined that the identity information of the target object is correct, before collecting the real-time health parameters of the target object and calling the health record of the target object, the method further includes: steps S700-S710:

[0070] Step S700, collecting qualification information and health information of multiple objects.

[0071] Specifically, comprehensive information can be collected from wind farm construction workers, including basic personal information, professional qualification certificates, health certification documents, and health data obtained through health surveys and physical examinations. Information collection can be completed digitally, such as submitting scanned copies of qualification documents online, uploading electronic health records, or transmitting health parameters in real time through smart wearable devices. This process needs to ensure the accuracy and completeness of the data, as well as comply with relevant data privacy and protection regulations.

[0072] For example, the qualifications can be investigated according to different construction professions, such as electrical, whether there are high-voltage, ultra-high-voltage, and ordinary electrician certificates, etc.; whether the hoisting personnel have large-scale machinery operation and hoisting certificates, etc., and they are recorded in the archives. According to the list of high-risk diseases in the wind farm, a confirmation form can be made and signed by the construction personnel, and the signed documents can be photographed and uploaded. Extract the diseases in the confirmation form: through image recognition technology, the checked diseases in the disease screening confirmation form are incrementally recorded in the archives. You can also upload the physical examination report by taking a photo, and the electronic version of the report can be uploaded directly. Through image recognition technology, the key indicators of the physical examination report are extracted and incrementally recorded in the archives. Personal basic information is also recorded: including name, age, gender, type of work, etc. By entering information, health files and portraits are analyzed and constructed. For personnel who appear in multiple constructions, their historical alarm records in the power plant can be viewed. For personnel who appear in multiple constructions, the corresponding health files in the system can be retrieved.

[0073] Step S710, archiving the qualification information and health information of multiple objects to build an archive library, wherein the archive library includes health records of multiple objects.

[0074] Specifically, the collected information will be integrated, classified and archived into a central database, namely the archive. The design of the archive needs to consider the secure storage, efficient retrieval and privacy protection of data. The information of construction workers will be stored separately under personal health records, including but not limited to disease screening confirmation forms, physical examination reports, basic personal information and real-time health monitoring data. The construction and maintenance of the archive is a dynamic process. As the information of construction workers is updated and their health status changes, the data in the archive should also be updated accordingly to maintain the timeliness and accuracy of the information.

[0075] In this embodiment, the qualifications and health information of construction workers are digitized and archived, which simplifies the management process of traditional paper documents, improves the efficiency of information retrieval and processing, and makes the safety management of wind farms more systematic and efficient. By building a health archive, wind farms can quickly identify high-risk construction workers and take corresponding preventive measures, such as restricting access to specific areas or arranging work tasks that are suitable for their health conditions, effectively controlling potential risks caused by health problems. The establishment of health archives provides wind farms with a comprehensive view of the health status of construction workers, helps to develop personalized health management plans, ensures that each construction worker receives appropriate health monitoring and guidance, and improves the health management level of the entire wind farm construction team.

[0076] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0077] In this embodiment, a health status monitoring device is also provided, and the health status monitoring device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0078] Figure 8 is a structural block diagram of an optional health status monitoring device according to an embodiment of the present application. Figure 8 As shown, including:

[0079] The image acquisition module 801 is used to acquire image information of a target object in the area to be monitored.

[0080] The identity determination module 802 is used to call a preset recognition model to recognize the image information of the target object and determine the identity information of the target object.

[0081] The information acquisition module 803 is used to collect the real-time health parameters of the target object and call the health file of the target object when it is determined that the identity information of the target object is correct.

[0082] The health status determination module 804 is used to determine the health status of the target object according to the real-time health parameters and health records of the target object.

[0083] Through the above-mentioned device, by acquiring the image information of the target object in the monitored area, the image information of each person entering or active in the monitored area can be obtained. Then, the preset recognition model is called to identify the image information of the target object, which can perform high-precision identity recognition, improve the safety of the wind farm, and ensure the accuracy of health monitoring. The collection of real-time health parameters and the integration of health records can provide a comprehensive perspective for judging the health status of personnel, and can promptly detect abnormalities in personnel health, take preventive measures, and reduce the occurrence of safety accidents. By combining real-time health parameters with health records for analysis, it can provide immediate health warnings and long-term health trend predictions, and can also warn of potential health problems, thereby achieving accurate and timely health monitoring.

[0084] In an exemplary embodiment, the information acquisition module 803 is further used to: collect the real-time health parameters of the target object through the sensor device worn by the target object when it is determined that the identity information of the target object is correct. Based on the identity information of the target object, call the health file of the target object in the archive.

[0085] In an exemplary embodiment, the health status determination module 804 is further used to determine the historical health abnormality information of the target object based on the health record of the target object. According to the historical health abnormality information, determine the target health index related to the historical health abnormality information. Determine the health status of the target object based on the value of the target health index in the real-time health parameter.

[0086] In an exemplary embodiment, the above device further includes:

[0087] The area determination module is used to determine the target area that the target object is allowed to enter based on the health record of the target object.

[0088] The early warning module is used to issue an early warning when the area where the target object is currently located does not belong to the target area.

[0089] In an exemplary embodiment, the above device further includes:

[0090] The early warning module is used to issue an early warning when it is determined that the identity information of the target object does not match the registered identity information.

[0091] The early warning module is used to issue an early warning when it is determined that the health status of the target object does not meet the standard.

[0092] In an exemplary embodiment, the above device further includes:

[0093] The collection module is used to collect the qualification information and health information of multiple objects.

[0094] The archiving module is used to archive the qualification information and health information of multiple objects and build an archive library, wherein the archive library includes the health records of multiple objects.

[0095] An embodiment of the present application further provides a storage medium, which includes a stored program, wherein the program executes any of the above methods when it is run.

[0096] Optionally, in this embodiment, the storage medium may be configured to store program codes for executing the following steps:

[0097] S1, obtaining image information of a target object in a monitoring area.

[0098] S2, calling a preset recognition model to recognize the image information of the target object and determine the identity information of the target object.

[0099] S3, when it is determined that the identity information of the target object is correct, real-time health parameters of the target object are collected, and the health record of the target object is called.

[0100] S4, determining the health status of the target object based on the real-time health parameters and health records of the target object.

[0101] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0102] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0103] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0104] S1, obtaining image information of a target object in a monitoring area.

[0105] S2, calling a preset recognition model to recognize the image information of the target object and determine the identity information of the target object.

[0106] S3, when it is determined that the identity information of the target object is correct, real-time health parameters of the target object are collected, and the health record of the target object is called.

[0107] S4, determining the health status of the target object based on the real-time health parameters and health records of the target object.

[0108] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store program codes.

[0109] An embodiment of the present application further provides a computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores the computer program product, and when the computer program is executed by a processor, the steps of the method in each embodiment of the present application are implemented.

[0110] Optionally, in this embodiment, the above computer program may be configured to implement the following steps when executed by a processor:

[0111] S1, obtaining image information of a target object in a monitoring area.

[0112] S2, calling a preset recognition model to recognize the image information of the target object and determine the identity information of the target object.

[0113] S3, when it is determined that the identity information of the target object is correct, real-time health parameters of the target object are collected, and the health record of the target object is called.

[0114] S4, determining the health status of the target object based on the real-time health parameters and health records of the target object.

[0115] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0116] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0117] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for determining a health status, characterized in that: The method comprises: Acquire image information of the target object in the area to be monitored; Calling a preset recognition model to recognize the image information of the target object and determine the identity information of the target object; When it is determined that the identity information of the target object is correct, collecting the real-time health parameters of the target object and calling the health file of the target object; The health status of the target object is determined based on the real-time health parameters and health records of the target object.

2. The method for monitoring health status according to claim 1, characterized in that: When determining that the identity information of the target object is correct, collecting the real-time health parameters of the target object and calling the health file of the target object include: When it is determined that the identity information of the target object is correct, collecting real-time health parameters of the target object through a sensor device worn by the target object; Based on the identity information of the target object, the health record of the target object is called in the archive.

3. The method for monitoring health status according to claim 1, characterized in that: Determining the health status of the target object according to the real-time health parameters and health records of the target object includes: Determining historical health abnormality information of the target object based on the health record of the target object; Determining, based on the historical health abnormality information, a target health indicator related to the historical health abnormality information; Based on the value of the target health indicator in the real-time health parameter, the health status of the target object is determined.

4. The method for monitoring health status according to claim 1, characterized in that: After determining the health status of the target object according to the real-time health parameters and health records of the target object, the method further includes: Determining the target area that the target object is allowed to enter according to the health record of the target object; When the area where the target object is currently located does not belong to the target area, an early warning is issued.

5. The method for monitoring health status according to claim 1, characterized in that: After calling a preset recognition model to recognize the image information of the target object and determining the identity information of the target object, the method further includes: If it is determined that the identity information of the target object does not match the identity information on record, an early warning is issued; When it is determined that the health status of the target object does not meet the standard, an early warning is issued.

6. The method for monitoring health status according to claim 1, characterized in that: When it is determined that the identity information of the target object is correct, before collecting the real-time health parameters of the target object and calling the health record of the target object, the method further includes: Collect qualification and health information of multiple subjects; The qualification information and health information of the multiple subjects are archived to construct an archive library, wherein the archive library includes the health records of the multiple subjects.

7. A device for determining health status, characterized in that: The device comprises: An image acquisition module is used to acquire image information of a target object in the area to be monitored; An identity determination module, used to call a preset recognition model to recognize the image information of the target object and determine the identity information of the target object; An information acquisition module, used to collect real-time health parameters of the target object and call the health record of the target object when determining that the identity information of the target object is correct; The health status determination module is used to determine the health status of the target object according to the real-time health parameters and health records of the target object.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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