Personnel state identification method and device and computer equipment

Abstract

The invention relates to a personnel state identification method and device and computer equipment. The method comprises the following steps: acquiring different types of monitoring data related to a to-be-monitored person from various sensors in a working site; the monitoring data comprises physiological parameters, posture data and environment data of the to-be-monitored person; determining a first adjustment value of an initial state index value of the to-be-monitored person according to a first reference threshold value corresponding to the physiological parameter and the physiological parameter; and according to the first adjustment value, the initial state index value and a preset alarm value, determining a first processing strategy of the attitude data and the environmental data, and obtaining a target state index value of the to-be-monitored person. By adopting the method, the real-time performance and the response speed of personnel state recognition can be remarkably improved, meanwhile, the health state of the operator is monitored in real time, and real-time recognition of the health state of the operator is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of construction monitoring, in particular to a personnel state recognition method and device and computer equipment. BACKGROUND

[0002] In the construction site, such as building construction, power construction, etc., due to the complex environment of the construction site, the physical fitness of the workers is strictly required. When the physical state of the workers is not good, it may affect their physical strength, mental state and attention, thereby increasing the risk of work and causing accidents.

[0003] In the traditional technology, the health state of the workers is manually supervised and judged by the supervisors through visual observation and oral inquiry in the construction site.

[0004] However, the monitoring method mainly relying on manual supervision in the traditional method cannot meet the real-time monitoring requirement of the health state of the workers. SUMMARY

[0005] Therefore, it is necessary to provide a personnel state recognition method, device and computer equipment capable of real-time monitoring the health state of the workers to solve the above technical problems.

[0006] In a first aspect, the present application provides a personnel state recognition method, comprising:

[0007] acquiring different types of monitoring data related to the to-be-monitored personnel from a plurality of sensors in the construction site; the monitoring data includes physiological parameters, posture data and environmental data of the to-be-monitored personnel;

[0008] determining a first adjustment value of an initial state index value of the to-be-monitored personnel according to a first reference threshold corresponding to the physiological parameters and the physiological parameters;

[0009] determining a first processing strategy of the posture data and the environmental data according to the first adjustment value, the initial state index value and a preset alarm value, and acquiring a target state index value of the to-be-monitored personnel.

[0010] In one embodiment, the first processing strategy of the posture data and the environmental data is determined according to the first adjustment value, the initial state index value and the preset alarm value, and the target state index value of the to-be-monitored personnel is acquired, comprising:

[0011] determining a first state index value of the to-be-monitored personnel according to the first adjustment value and the initial state index value;

[0012] when the first state index value is equal to the preset alarm value, determining that the first processing strategy is not to process the posture data and the environmental data, and determining the first state index value as the target state index value;

[0013] When the first state index value is less than the preset alarm value, the first processing strategy is determined to be to obtain the target state index value based on attitude data and / or environmental data.

[0014] In one embodiment, obtaining the target state index value based on attitude data and / or environmental data includes:

[0015] Based on the second reference threshold corresponding to the attitude data and the attitude data, determine the second adjustment value of the first state index value;

[0016] Based on the second adjustment value, the first state index value, and the preset alarm value, a second processing strategy for environmental data is determined to obtain the target state index value of the personnel to be monitored.

[0017] In one embodiment, a second processing strategy for environmental data is determined based on a second adjustment value, a first state index value, and a preset alarm value, and the target state index value of the person to be monitored is obtained, including:

[0018] The second state index value of the person to be monitored is determined based on the second adjustment value and the first state index value.

[0019] When the second state index value equals the preset alarm value, the second processing strategy is determined to be not to process the environmental data, and the second state index value is determined as the target state index value.

[0020] When the second state index value is less than the preset alarm value, the second processing strategy is determined to be to obtain the target state index value based on environmental data.

[0021] In one embodiment, obtaining a target state index value based on environmental data includes:

[0022] Based on the third reference threshold corresponding to the environmental data and the environmental data, determine the third adjustment value of the second state index;

[0023] The difference between the second state index value and the third adjustment value is determined as the target state index value.

[0024] In one embodiment, the three reference thresholds include a first threshold and a second threshold; determining a third adjustment value for the second state index value based on a third reference threshold corresponding to the environmental data and the environmental data includes:

[0025] If the environmental data includes the first threshold, then the third adjustment value is determined to be the first value;

[0026] If the environmental data includes a second threshold, then the third adjustment value is determined to be the second value; the second value and the first value are separated by a first score interval;

[0027] If the environmental data does not include the first and second thresholds, then the third adjustment value is determined to be 0.

[0028] In one embodiment, the first reference threshold includes a third threshold and a fourth threshold; based on the first reference threshold corresponding to the physiological parameter and the physiological parameter, a first adjustment value for the initial state index value of the person to be monitored is determined, including:

[0029] If the physiological parameters include a third threshold, then the first adjustment value is determined to be the third value;

[0030] If the physiological parameters include a fourth threshold, then the first adjustment value is determined to be the fourth value; the third and fourth values ​​are separated by a second score interval.

[0031] If the physiological parameters do not include the third and fourth thresholds, then the first adjustment value is determined to be 0.

[0032] In one embodiment, determining a second adjustment value for the first state index value based on a second reference threshold corresponding to the attitude data and the attitude data includes:

[0033] If the attitude data includes a fifth threshold, then the second adjustment value is determined to be the fifth value;

[0034] If the attitude data does not include the fifth threshold, then the second adjustment value is determined to be 0.

[0035] Secondly, this application also provides a personnel status identification device, comprising:

[0036] The acquisition module is used to acquire different types of monitoring data related to the personnel to be monitored from various sensors at the work site; the monitoring data includes the physiological parameters, posture data and environmental data of the personnel to be monitored;

[0037] The determination module is used to determine the first adjustment value of the initial state index value of the person to be monitored based on the first reference threshold corresponding to the physiological parameter and the physiological parameter.

[0038] The identification module is used to determine the first processing strategy for attitude data and environmental data based on the first adjustment value, the initial state index value and the preset alarm value, and to obtain the target state index value of the person to be monitored.

[0039] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0040] Different types of monitoring data related to the personnel being monitored are acquired from various sensors at the work site; the monitoring data includes the personnel's physiological parameters, posture data, and environmental data.

[0041] Based on the first reference threshold corresponding to the physiological parameters and the physiological parameters, determine the first adjustment value of the initial state index value of the person to be monitored;

[0042] Based on the first adjustment value, the initial state index value, and the preset alarm value, the first processing strategy for attitude data and environmental data is determined, and the target state index value of the person to be monitored is obtained.

[0043] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0044] Different types of monitoring data related to the personnel being monitored are acquired from various sensors at the work site; the monitoring data includes the personnel's physiological parameters, posture data, and environmental data.

[0045] Based on the first reference threshold corresponding to the physiological parameters and the physiological parameters, determine the first adjustment value of the initial state index value of the person to be monitored;

[0046] Based on the first adjustment value, the initial state index value, and the preset alarm value, the first processing strategy for attitude data and environmental data is determined, and the target state index value of the person to be monitored is obtained.

[0047] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0048] Different types of monitoring data related to the personnel being monitored are acquired from various sensors at the work site; the monitoring data includes the personnel's physiological parameters, posture data, and environmental data.

[0049] Based on the first reference threshold corresponding to the physiological parameters and the physiological parameters, determine the first adjustment value of the initial state index value of the person to be monitored;

[0050] Based on the first adjustment value, the initial state index value, and the preset alarm value, the first processing strategy for attitude data and environmental data is determined, and the target state index value of the person to be monitored is obtained.

[0051] The aforementioned method, apparatus, and computer equipment for identifying personnel status acquire different types of monitoring data related to the personnel to be monitored from various sensors at the work site. The monitoring data includes the personnel's physiological parameters, posture data, and environmental data. Based on a first reference threshold corresponding to the physiological parameters and the physiological parameters themselves, a first adjustment value for the initial state index of the personnel to be monitored is determined. Based on the first adjustment value, the initial state index value, and a preset alarm value, a first processing strategy for the posture data and environmental data is determined to obtain the target state index value of the personnel to be monitored. This method enables real-time monitoring of the health status of workers, achieving real-time identification of personnel health status and ensuring the health of workers. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 This is an application environment diagram of a personnel status recognition method in one embodiment;

[0054] Figure 2 This is a flowchart illustrating a method for identifying the status of personnel in one embodiment;

[0055] Figure 3 This is a flowchart illustrating step 206 in one embodiment;

[0056] Figure 4 This is a schematic diagram of a process for obtaining a target state index value based on attitude data and / or environmental data in one embodiment.

[0057] Figure 5 This is a flowchart illustrating step 404 in one embodiment;

[0058] Figure 6 This is a schematic diagram of a process for obtaining a target state index value based on environmental data in one embodiment.

[0059] Figure 7 This is a flowchart illustrating the process of determining a third adjustment value for a second state index value in one embodiment.

[0060] Figure 8 This is a flowchart illustrating the process of determining a first adjustment value for the initial state index in one embodiment.

[0061] Figure 9 This is a flowchart illustrating the process of determining a second adjustment value for a first state index value in one embodiment.

[0062] Figure 10 This is a structural block diagram of a personnel status identification device in one embodiment;

[0063] Figure 11 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0064] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0065] The personnel status identification method provided in this application embodiment can be applied to, for example, Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or placed in the cloud or on other network servers. Terminal 102 can be various sensors at the work site to acquire different types of monitoring data related to the personnel being monitored. This monitoring data includes the personnel's physiological parameters, posture data, and environmental data. The terminal transmits these different types of monitoring data to server 104. Server 104 determines a first adjustment value for the initial state index of the personnel being monitored based on a first reference threshold corresponding to the physiological parameters and the physiological parameters themselves. Based on the first adjustment value, the initial state index value, and a preset alarm value, server 104 determines a first processing strategy for the posture data and environmental data to obtain the target state index value of the personnel being monitored. Terminal 102 can be, but is not limited to, a smartwatch, smart bracelet, head-mounted device, or camera device. Server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0066] In one exemplary embodiment, such as Figure 2 As shown, a method for identifying personnel status is provided, which can be applied to... Figure 1 Taking the server in the example, the explanation includes the following steps 202 to 206. Wherein:

[0067] Step 202: Acquire different types of monitoring data related to the personnel to be monitored from various sensors at the work site; the monitoring data includes the physiological parameters, posture data and environmental data of the personnel to be monitored.

[0068] The work site refers to the working environment where personnel are actually engaged in work activities, including but not limited to building construction and power construction. Multiple sensors refer to sensing devices deployed at the work site or worn by workers to collect different types of monitoring data.

[0069] For example, the various sensors may include environmental monitoring sensors, personnel posture acquisition sensors, and vital sign acquisition sensors, used to collect environmental data, personnel posture data, and personnel physiological parameters at the work site, respectively. The environmental monitoring sensor may include a temperature sensor for acquiring the ambient temperature at the work site, a humidity sensor for acquiring the relative humidity of the air, a particulate matter sensor and a gas sensor for detecting air quality, a noise sensor for detecting the intensity of ambient noise, and optionally, a light sensor for detecting light intensity, a sensor module for measuring air pressure or wind speed, etc. The aforementioned environmental monitoring sensors can be deployed in key areas of the work site to collect multiple environmental data in the work environment in real time and transmit the collected environmental data to a server. Personnel posture acquisition sensors acquire posture data related to the person being monitored. These sensors may include sensor components for collecting posture information, such as inertial measurement units (IMUs) and camera units, to acquire posture and facial features of the person being monitored in real time. The acquired posture and facial features are transmitted to a server, which matches the received posture and facial features with postures and corresponding personnel identity information stored in a preset personnel posture database. This database includes working postures, transition postures, and dangerous action postures. Based on the matching results, the current posture data and corresponding identity information of the person being monitored are determined. Vital signs acquisition sensors acquire physiological parameters of the person being monitored. For example, this vital signs acquisition sensor can be a wearable wristband, which is bound to a specific person being monitored to collect physiological parameters such as heart rate, blood oxygen saturation, blood pressure, and body temperature in real time. The wearable wristband can then send the collected physiological parameters to the server. Optionally, the physiological parameters, posture data, and environmental data of the person to be monitored can be weighted and classified. The physiological parameters are used as the first reference data directly related to the person to be monitored, i.e., the data with the highest weight; the posture data are used as the second reference data indirectly related to the person to be monitored, with a weight lower than that of the physiological parameters; and the environmental data are used as the third reference data, with a weight lower than that of the posture data.

[0070] Step 204: Determine the first adjustment value of the initial state index value of the person to be monitored based on the first reference threshold corresponding to the physiological parameters and the physiological parameters.

[0071] The initial state index value refers to the default state index value set for each person to be monitored, representing the standard starting point of health status under the condition of no abnormalities. The initial state index value can be set as a safe value. The first adjustment value is based on physiological parameters and a first reference threshold, which deducts from or maintains the initial state index value to reflect the impact of physiological parameters on the current health status of the person to be monitored.

[0072] For example, an initial state index value is preset for the person to be monitored, representing their standard health status in the absence of any abnormal indicators; for instance, this initial state index value could be set to 6 points. Physiological parameters of the person to be monitored are acquired and compared with a preset first reference threshold. This first reference threshold is based on preset judgment criteria and typically includes one or more warning levels to reflect the risk level of the physiological parameters. When a physiological parameter reaches the first reference threshold, a corresponding first adjustment value is determined based on the first reference threshold and the physiological parameter. This first adjustment value is used to deduct from or maintain the initial state index value.

[0073] Step 206: Based on the first adjustment value, the initial state index value, and the preset alarm value, determine the first processing strategy for the attitude data and environmental data, and obtain the target state index value of the person to be monitored.

[0074] The preset alarm value is a threshold used to identify whether the status index of the person to be monitored is at a high risk level. It is the minimum safety threshold for the person to be monitored. When the target status index value is less than or equal to the alarm value, it is determined that the person to be monitored has a health risk.

[0075] For example, after acquiring the physiological parameters of the person to be monitored and calculating the first adjustment value, a first state index value for the person is determined based on the first adjustment value and the initial state index value. Based on this first state index value and a preset alarm value, a first processing strategy is obtained, and this is used to determine whether to further process posture data and environmental data. Optionally, the first state index value can be a safety value, a warning value, or an alarm value. When the first state index value is a safety value or a warning value, posture data and / or environmental data are further processed; when the first state index value is an alarm value, the first state index value is set as the target state index value; furthermore, the target state index value can also be a safety value, a warning value, or an alarm value.

[0076] In this embodiment, by acquiring physiological parameters, posture data, and environmental data related to the personnel being monitored in real time from multiple sensors at the work site, the system can quickly reflect the physical state of the personnel and changes in the external environment during the work process. This significantly improves the real-time performance and response speed of personnel status recognition. Simultaneously, it enables multi-dimensional perception of personnel health status, avoiding the problem of misjudgment or omission caused by a single data source, thus enhancing the comprehensiveness and accuracy of personnel status recognition. The real-time collected physiological parameters are compared with the corresponding first reference threshold to determine a first adjustment value. Based on the first adjustment value, the initial state index value, and the preset alarm value, a first processing strategy is determined to determine whether further processing of posture and environmental data is necessary. This improves the efficiency of personnel status recognition while avoiding unnecessary data computation and resource waste. Therefore, the above-described personnel status recognition method effectively improves the real-time performance, reliability, and flexibility of personnel status recognition.

[0077] In one exemplary embodiment, such as Figure 3 As shown, step 206 includes steps 302 to 306. Wherein:

[0078] Step 302: Determine the first state index value of the person to be monitored based on the first adjustment value and the initial state index value.

[0079] For example, the initial state index value is corrected or adjusted accordingly based on the first adjustment value to determine the first state index value that reflects the current state of the person to be monitored. The first state index value is the preliminary identification result of the state identification of the person to be monitored.

[0080] Step 304: When the first state index value is equal to the preset alarm value, determine the first processing strategy as not processing attitude data and environmental data, and determine the first state index value as the target state index value.

[0081] Optionally, when the first state index value is equal to the alarm value, it is determined that the current state of the person to be monitored has reached the set risk threshold, indicating that the state of the person to be monitored is within the warning range. At this time, the first processing strategy is to no longer process the collected attitude data and environmental data to avoid the waste of resources caused by further processing, and to directly use the first state index value as the target state index value as the final judgment result of the current state identification of the person to be monitored. This can ensure the accuracy of personnel state identification and avoid unnecessary data calculation and resource waste.

[0082] Step 306: When the first state index value is less than the preset alarm value, determine the first processing strategy as obtaining the target state index value based on attitude data and / or environmental data.

[0083] When the first state index value determined based on the first adjustment value and the initial state index value is less than the preset alarm value, it indicates that the current first state index value of the person to be monitored is at a safe value or an alarm value. Then, the first processing strategy is determined to be to further evaluate the person's state based on the collected posture data, or based on the posture data and environmental data. Specifically, the first state index value is adjusted through posture data and / or environmental data to obtain the target state index value.

[0084] In this embodiment, when the first state index value equals the preset alarm value, the processing of attitude data and environmental data is directly terminated, reducing computational resource consumption and improving processing efficiency; when the first state index value is lower than the preset alarm value, the target state index value is further obtained based on the attitude data and / or environmental data, realizing differentiated responses to processing strategies under different personnel state levels, enabling the personnel state identification process to have hierarchical processing capabilities and flexibility, and improving the real-time performance, accuracy and resource utilization efficiency of personnel state identification.

[0085] In one exemplary embodiment, such as Figure 4 As shown, obtaining the target state index value based on attitude data and / or environmental data includes steps 402 to 404. Wherein:

[0086] Step 402: Determine the second adjustment value of the first state index value based on the second reference threshold corresponding to the attitude data and the attitude data.

[0087] After acquiring posture data, the posture data is compared with a preset second reference threshold to determine a second adjustment value for the first state index. The posture data includes information related to the movement state of the person being monitored, specifically including working postures, transition postures, and dangerous movement postures, reflecting changes in the person's body posture during work. Optionally, individual postures among working postures, transition postures, and dangerous movement postures can be set as the second reference threshold. For example, when the server determines that the person being monitored exhibits posture characteristics consistent with a dangerous movement posture, the second adjustment value is set to a negative value to subtract and correct the first state index value.

[0088] Step 404: Based on the second adjustment value, the first state index value, and the preset alarm value, determine the second processing strategy for environmental data and obtain the target state index value of the person to be monitored.

[0089] After obtaining the second adjustment value, it is jointly judged with the current first state index value and the preset alarm value to determine whether further processing of the environmental data is required, and the target state index value of the person to be monitored is obtained accordingly. Optionally, the first state index value is corrected according to the second adjustment value to obtain a second state index value. Based on the second state index value and the preset alarm value, a second processing strategy is obtained. The second processing strategy can obtain the target state index value of the person to be monitored based on the environmental data, or not process the environmental data and use the second state index value obtained by correcting the first state index value with the second adjustment value as the target state index value.

[0090] In this embodiment, a second adjustment value is determined by introducing a comparison relationship between posture data and a second reference threshold based on the first state index value. The first state index value is corrected using this second adjustment value, and the relationship between the corrected first state index value (i.e., the second state index value) and a preset alarm value is used to dynamically determine whether further processing of environmental data is required, thereby avoiding resource consumption and improving processing efficiency. At the same time, the initial state index value is gradually corrected and optimized under physiological parameters, posture data, and environmental data, which can ensure the reliability of personnel state recognition.

[0091] In one exemplary embodiment, such as Figure 5 As shown, step 404 includes steps 502 to 506. Wherein:

[0092] Step 502: Determine the second state index value of the person to be monitored based on the second adjustment value and the first state index value.

[0093] The first state index value can be a safe value, a warning value, or an alarm value. Based on the second adjustment value, the first state index value is corrected or adjusted accordingly to determine the second state index value. The second state index value can also be a safe value, a warning value, or an alarm value. For example, when the first state index value is a safe value and the second adjustment value is 0, the second state index value is a safe value.

[0094] Step 504: When the second state index value is equal to the preset alarm value, determine the second processing strategy as not processing environmental data, and set the second state index value as the target state index value.

[0095] Optionally, when the second state index value is equal to the alarm value, it is determined that the current state of the person to be monitored has reached the set risk threshold, indicating that the state of the person to be monitored is within the warning range. At this time, it is determined that no further processing of the collected environmental data will be carried out to avoid the waste of resources caused by further processing. The second state index value is directly used as the target state index value as the final judgment result for identifying the current state of the person to be monitored, which can improve processing efficiency and reduce resource consumption.

[0096] Step 506: When the second state index value is less than the preset alarm value, determine the second processing strategy as obtaining the target state index value based on environmental data.

[0097] When the second state index value is determined to be less than the alarm value, it indicates that the current first state index value of the person to be monitored is at a safe or alarm value. The second processing strategy is then determined to be to further assess the person's state based on environmental data. Specifically, the environmental data is processed and the target state index value is taken.

[0098] In this embodiment, the second state index value is dynamically determined by combining the second adjustment value and the first state index value. When the second state index value reaches the preset alarm value, the processing of environmental data is omitted, avoiding unnecessary calculations and resource waste, and effectively improving the response speed and real-time performance of personnel status identification. When the second state index value is lower than the preset alarm value, processing continues based on environmental data, comprehensively considering the potential impact of on-site environmental factors on personnel status, thereby obtaining a more accurate target state index value. This hierarchical processing strategy in this embodiment not only improves the accuracy and flexibility of personnel status identification, but also optimizes resource utilization efficiency and enhances the real-time monitoring and early warning capabilities for personnel status in complex working environments.

[0099] In one exemplary embodiment, such as Figure 6 As shown, obtaining the target state index value based on environmental data includes steps 602 to 604. Wherein:

[0100] Step 602: Determine the third adjustment value of the second state index value based on the third reference threshold corresponding to the environmental data and the environmental data.

[0101] The environmental data is compared with a preset third reference threshold. A third adjustment value is obtained by comparing the environmental data with the third reference threshold. Optionally, when the environmental data exceeds the third reference threshold, the third adjustment value is set to a negative value to subtract and correct the second state index value.

[0102] Step 604: The difference between the second state index value and the third adjustment value is determined as the target state index value.

[0103] The difference between the second state index value and the third adjustment value is calculated, and the result of this difference is determined as the target state index value. Optionally, the third adjustment value and the second state index value are quantized into numerical values, and the difference between the second state index value and the third adjustment value is calculated.

[0104] In one feasible embodiment, the server can generate a corresponding personnel health status table based on the acquired monitoring data and the target status index value of the personnel to be monitored. For example, this personnel health status table can intuitively reflect the physical condition of the personnel to be monitored during work, facilitating timely understanding of health trends by monitoring personnel, early detection of potential abnormalities, and effective prevention of safety accidents.

[0105] In this embodiment, by comparing environmental data with a preset third reference threshold, a third adjustment value is determined, and the second state index value is corrected with the third adjustment value to finally obtain the target state index value, which can enhance the sensitivity and recognition ability of personnel state identification in complex on-site environments.

[0106] In one exemplary embodiment, such as Figure 7 As shown, the third reference threshold includes the first threshold and the second threshold; step 602 includes steps 702 to 706. Wherein:

[0107] Step 702: If the environmental data includes the first threshold, then the third adjustment value is determined to be the first value.

[0108] Optionally, after acquiring environmental data, each environmental parameter is compared with a preset third reference threshold. This third reference threshold includes a first threshold and a second threshold, and each environmental data parameter corresponds to both a first threshold and a second threshold, used to grade and determine the degree of impact of the environmental data on the state of the personnel. When at least one data point in the environmental data is detected to have reached its corresponding first threshold, it is determined that the current environmental data is in a slightly abnormal state. The third adjustment value is then set to the first value to correct the current second state index value. This first value is a preset fixed value or level. For example, when the air quality index in the environmental data is detected to be equal to the first threshold set for this parameter, but has not yet exceeded the second threshold, the third adjustment value is set to "-1" to deduct and correct the current second state index value.

[0109] Step 704: If the environmental data includes a second threshold, then the third adjustment value is determined to be the second value; the second value and the first value are separated by a first score interval.

[0110] When at least one data point in the environmental data is detected to have reached its corresponding second threshold, it is determined that the current environmental data has reached a relatively serious level of anomaly. A third adjustment value is then set to the second value, which can be used to significantly correct the second state index value. Further, to ensure that the adjustment range has a clear grading standard, a first score interval is set between the second value and the aforementioned first value to quantify the difference in impact between environmental anomaly levels. If the first value is "-1" indicating a mild anomaly, the second value can be set to "-2," and the first score interval between the two is "1." Specifically, when the air quality index in the environmental data is detected to be equal to or exceed the second threshold, the third adjustment value is set to "-2" to subtract and correct the current second state index value. Optionally, when the second state index value is a safe value and the third adjustment value is set to the second value "-2," the target state index value is determined to be a warning value.

[0111] In one feasible embodiment, when the target state index value is a warning value, the server promptly issues a warning reminder to the staff member through the real-time display and vibration function of the wearable wristband, reminding the staff member to pay attention to their physical condition.

[0112] Step 706: If the environmental data does not include the first threshold and the second threshold, then the third adjustment value is determined to be 0.

[0113] The environmental data is compared item by item with the third reference threshold. That is, each piece of environmental data is compared with its corresponding first threshold and second threshold. When it is determined that all the data in the environmental data has not reached its corresponding first threshold or second threshold, the third adjustment value is set to 0, indicating that there is no need to correct the second state index value at present. This can avoid unnecessary intervention or false alarms and ensure the accuracy and reliability of personnel status identification results.

[0114] In this embodiment, a first threshold and a second threshold are introduced as the basis for judging the degree of environmental parameter anomaly. This enables higher sensitivity and discrimination ability for environmental parameters. By setting the first and second values ​​to correspond to different levels of environmental parameter anomalies and setting a first score interval between the two, the influence of environmental parameters on the state index value has a quantifiable gradient, enhancing the rationality of personnel state identification. When the environmental data does not reach any threshold, the third adjustment value is automatically set to 0, indicating that the current environmental parameters have no significant impact on personnel state, avoiding ineffective intervention and improving the accuracy of personnel state identification.

[0115] In one exemplary embodiment, such as Figure 8 As shown, the first reference threshold includes a third threshold and a fourth threshold; step 204 includes steps 802 to 806. Wherein:

[0116] Step 802: If the physiological parameters include a third threshold, then the first adjustment value is determined to be the third value.

[0117] After acquiring the physiological parameters of the person to be monitored, the physiological parameters are compared with a preset first reference threshold. The first reference threshold includes a third threshold and a fourth threshold, which are used to reflect severe and extreme abnormal states of the physiological parameters, respectively. When any physiological parameter is detected to have reached its corresponding third threshold, the system determines that the current physiological state is in a severely abnormal stage, and then sets the first adjustment value to the third value to correct the initial state index value accordingly. For example, when the heart rate is detected to have reached its corresponding third threshold but not the fourth threshold, the first adjustment value is set to the third value "-2". Optionally, the state index value includes a safety value, a warning value, and an alarm value. The safety value and the warning value can differ by two points, and the warning value and the alarm value can also differ by two points. Specifically, the initial state index value is the safety value, and when the first adjustment value is the third value "-2", the first state index value of the person to be monitored is the warning value.

[0118] Step 804: If the physiological parameters include a fourth threshold, then the first adjustment value is determined to be the fourth value; the third value and the fourth value are provided with a second score interval.

[0119] When any physiological parameter is detected to have reached its corresponding fourth threshold, the system determines that the current physiological state has reached an extreme abnormal level. The first adjustment value is then set to the fourth value to further reduce the initial state index value. Furthermore, to ensure that the adjustment ranges corresponding to different levels of physiological parameter abnormalities have quantifiable differentiation, a second score interval of "2" is provided between the fourth and third values. Optionally, when body temperature exceeds 39.5℃ and reaches the fourth threshold, the system can set the first adjustment value to the fourth value "-4", and the first state index value of the monitored person becomes an alarm value.

[0120] In one feasible embodiment, when the first state index value of the person to be monitored is an alarm value, and the target state index value is set to an alarm value, the server displays and broadcasts the target state index value of the person to be monitored through an alert announcement, so as to ensure that the relevant monitoring personnel can quickly learn about the abnormal situation, so as to prevent potential risks or risky personnel from not being discovered in time, thereby effectively preventing the occurrence of safety accidents.

[0121] Step 806: If the physiological parameters do not include the third and fourth thresholds, then the first adjustment value is determined to be 0.

[0122] When it is determined that none of the physiological parameters have reached the corresponding third or fourth threshold, the first adjustment value is set to 0, indicating that there is no need to correct the initial state index value at present.

[0123] In this embodiment, based on severe and extreme abnormalities in physiological parameters, a third threshold corresponds to a relatively high-risk but still controllable abnormality, while a fourth threshold corresponds to a more critical extreme abnormality. By setting the third and fourth values ​​and maintaining the second score interval between them, the adjustment of the health status index has a hierarchical and quantifiable gradient change, which helps to accurately reflect the different degrees of severity of physiological states.

[0124] In one exemplary embodiment, such as Figure 9 As shown, the second reference threshold includes the fifth threshold; step 402 includes steps 902 to 904. Wherein:

[0125] Step 902: If the attitude data includes the fifth threshold, then the second adjustment value is determined to be the fifth value.

[0126] The dangerous action posture among the working posture, changing posture and dangerous action posture can be set as the second reference threshold (i.e. the fifth threshold). Optionally, after acquiring posture data, each posture data is compared with the preset fifth threshold. When at least one data in the environmental data is identified to reach its corresponding fifth threshold, the second adjustment value is set to the fifth value. For example, when a certain posture data is detected as a dangerous action posture (fifth threshold), the second adjustment value is set to the fifth value "-2" to deduct and correct the current first state index value.

[0127] Step 904: If the attitude data does not include the fifth threshold, then the second adjustment value is determined to be 0.

[0128] All data in the attitude data are compared with the fifth threshold. When it is determined that none of the data in the environmental data has reached the fifth threshold, the second adjustment value is set to 0, indicating that there is no need to correct the first state index value at present.

[0129] In this embodiment, when the posture data meets the preset fifth threshold (such as a dangerous action posture), the second adjustment value is set to the fifth value, thereby correcting the first state index value and improving the sensitivity and identification ability of potential risk states. When the posture data does not reach the fifth threshold, the second adjustment value is set to 0 to avoid interfering with normal working postures and improve the stability and reliability of personnel status identification.

[0130] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0131] Based on the same inventive concept, this application also provides a personnel status identification device for implementing the personnel status identification method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more personnel status identification device embodiments provided below can be found in the limitations of the personnel status identification method described above, and will not be repeated here.

[0132] In one exemplary embodiment, such as Figure 10 As shown, a personnel status identification device is provided, including: an acquisition module 1002, a determination module 1004, and an identification module 1006, wherein:

[0133] The acquisition module 1002 is used to acquire different types of monitoring data related to the personnel to be monitored from various sensors at the work site; the monitoring data includes the physiological parameters, posture data and environmental data of the personnel to be monitored;

[0134] The determination module 1004 is used to determine the first adjustment value of the initial state index value of the person to be monitored based on the first reference threshold corresponding to the physiological parameter and the physiological parameter.

[0135] The identification module 1006 is used to determine the first processing strategy for attitude data and environmental data based on the first adjustment value, the initial state index value and the preset alarm value, and to obtain the target state index value of the person to be monitored.

[0136] In an exemplary embodiment, the identification module 1006 is further configured to determine the first state index value of the person to be monitored based on the first adjustment value and the initial state index value; when the first state index value is equal to the preset alarm value, determine the first processing strategy as not processing the posture data and environmental data, and determine the first state index value as the target state index value; when the first state index value is less than the preset alarm value, determine the first processing strategy as obtaining the target state index value based on the posture data and / or environmental data.

[0137] In an exemplary embodiment, the identification module 1006 is further configured to determine a second adjustment value of the first state index value based on the second reference threshold corresponding to the posture data and the posture data; and to determine a second processing strategy for environmental data based on the second adjustment value, the first state index value and the preset alarm value, and to obtain the target state index value of the person to be monitored.

[0138] In an exemplary embodiment, the identification module 1006 is further configured to determine the second state index value of the person to be monitored based on the second adjustment value and the first state index value; when the second state index value is equal to the preset alarm value, determine the second processing strategy as not processing the environmental data and determine the second state index value as the target state index value; when the second state index value is less than the preset alarm value, determine the second processing strategy as obtaining the target state index value based on the environmental data.

[0139] In an exemplary embodiment, the identification module 1006 is further configured to determine a third adjustment value of the second state index value based on a third reference threshold corresponding to the environmental data and the environmental data; and to determine the difference between the second state index value and the third adjustment value as the target state index value.

[0140] In one exemplary embodiment, the third reference threshold includes a first threshold and a second threshold; the personnel status identification device further includes:

[0141] The third adjustment value determination module is used to determine the third adjustment value as the first value if the environmental data includes the first threshold; and to determine the third adjustment value as the second value if the environmental data includes the second threshold; the second value and the first value are provided with a first score interval; and to determine the third adjustment value as 0 if the environmental data does not include the first threshold and the second threshold.

[0142] In one exemplary embodiment, the first reference threshold includes a third threshold and a fourth threshold; the personnel status identification device further includes:

[0143] The first adjustment value determination module is used to determine the first adjustment value as the third value if the physiological parameter includes the third threshold; and to determine the first adjustment value as the fourth value if the physiological parameter includes the fourth threshold; the third value and the fourth value are provided with a second score interval; and to determine the first adjustment value as 0 if the physiological parameter does not include the third threshold and the fourth threshold.

[0144] In one exemplary embodiment, the second reference threshold includes a fifth threshold; the personnel status identification device further includes:

[0145] The second adjustment value determination module is used to determine the second adjustment value as the fifth value if the attitude data includes the fifth threshold, and to determine the second adjustment value as 0 if the attitude data does not include the fifth threshold.

[0146] Each module in the aforementioned personnel status identification device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0147] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 11 As shown, this computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores similar monitoring data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When executed by the processor, the computer program implements a method for identifying personnel status.

[0148] Those skilled in the art will understand that Figure 11 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0149] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0150] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0151] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0152] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0153] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0154] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for identifying personnel status, characterized in that, The method includes: Different types of monitoring data related to the personnel to be monitored are acquired from various sensors at the work site; the monitoring data includes the physiological parameters, posture data, and environmental data of the personnel to be monitored. Based on the first reference threshold corresponding to the physiological parameter and the physiological parameter, determine the first adjustment value of the initial state index value of the person to be monitored; Based on the first adjustment value, the initial state index value, and the preset alarm value, a first processing strategy for the attitude data and the environmental data is determined, and the target state index value of the person to be monitored is obtained.

2. The method according to claim 1, characterized in that, The step of determining a first processing strategy for the attitude data and the environmental data based on the first adjustment value, the initial state index value, and the preset alarm value, and obtaining the target state index value of the person to be monitored, includes: The first state index value of the person to be monitored is determined based on the first adjustment value and the initial state index value. When the first state index value is equal to the preset alarm value, the first processing strategy is determined to not process the attitude data and the environment data, and the first state index value is determined as the target state index value. When the first state index value is less than the preset alarm value, the first processing strategy is determined to be to obtain the target state index value based on the attitude data and / or the environmental data.

3. The method according to claim 2, characterized in that, The step of obtaining the target state index value based on the attitude data and / or the environment data includes: Based on the second reference threshold corresponding to the attitude data and the attitude data, a second adjustment value for the first state index value is determined; Based on the second adjustment value, the first state index value, and the preset alarm value, a second processing strategy for the environmental data is determined, and the target state index value of the person to be monitored is obtained.

4. The method according to claim 3, characterized in that, The step of determining a second processing strategy for the environmental data based on the second adjustment value, the first state index value, and the preset alarm value, and obtaining the target state index value of the person to be monitored, includes: The second state index value of the person to be monitored is determined based on the second adjustment value and the first state index value. When the second state index value is equal to the preset alarm value, the second processing strategy is determined to be not to process the environmental data, and the second state index value is determined as the target state index value; When the second state index value is less than the preset alarm value, the second processing strategy is determined to be to obtain the target state index value based on the environmental data.

5. The method according to claim 4, characterized in that, The step of obtaining the target state index value based on the environmental data includes: Based on the third reference threshold corresponding to the environmental data and the environmental data, a third adjustment value for the second state index value is determined; The difference between the second state index value and the third adjustment value is determined as the target state index value.

6. The method according to claim 5, characterized in that, The third reference threshold includes the first threshold and the second threshold; determining the third adjustment value of the second state index value based on the third reference threshold corresponding to the environmental data and the environmental data includes: If the environmental data includes the first threshold, then the third adjustment value is determined to be the first value; If the environmental data includes a second threshold, then the third adjustment value is determined to be a second value; the second value and the first value are provided with a first score interval; If the environmental data does not include the first threshold and the second threshold, then the third adjustment value is determined to be 0.

7. The method according to claim 1, characterized in that, The first reference threshold includes a third threshold and a fourth threshold; determining the first adjustment value of the initial state index value of the person to be monitored based on the first reference threshold corresponding to the physiological parameter and the physiological parameter includes: If the physiological parameters include the third threshold, then the first adjustment value is determined to be the third value; If the physiological parameters include a fourth threshold, then the first adjustment value is determined to be the fourth value; the third value and the fourth value are provided with a second score interval; If the physiological parameters do not include the third threshold and the fourth threshold, then the first adjustment value is determined to be 0.

8. The method according to claim 3, characterized in that, The second reference threshold includes a fifth threshold; determining a second adjustment value for the first state index value based on the second reference threshold corresponding to the attitude data and the attitude data includes: If the attitude data includes the fifth threshold, then the second adjustment value is determined to be the fifth value; If the attitude data does not include the fifth threshold, then the second adjustment value is determined to be 0.

9. A personnel status identification device, characterized in that, The device includes: The acquisition module is used to acquire different types of monitoring data related to the personnel to be monitored from various sensors at the work site; the monitoring data includes the physiological parameters, posture data and environmental data of the personnel to be monitored; The determination module is used to determine a first adjustment value of the initial state index value of the person to be monitored based on a first reference threshold corresponding to the physiological parameter and the physiological parameter; The identification module is used to determine a first processing strategy for the posture data and the environmental data based on the first adjustment value, the initial state index value and the preset alarm value, and to obtain the target state index value of the person to be monitored.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 8.

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