Construction personnel safety monitoring method and device, electronic equipment and storage medium

Abstract

The invention discloses a construction personnel safety monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of overhead working maintenance power equipment. The method comprises the following steps: acquiring environment data of a to-be-monitored area; judging whether the environment data is consistent with preset environment data or not; when the environment data is consistent with the preset environment data, determining that the to-be-monitored area is in a normal working state; sending an operation instruction to a target person according to the normal working state, so that the target person executes a detection operation according to the operation instruction; obtaining construction data corresponding to the target personnel, wherein the construction data comprises safety protection data, operation data and vital sign data; judging whether the construction data is consistent with preset data or not; and when the construction data is inconsistent with the preset data, determining that the target person is in a dangerous state so as to perform early warning operation according to the dangerous state. By implementing the technical scheme provided by the invention, the interference of human factors is reduced, and the accuracy and reliability of judgment are improved.

Description

Technical Field

[0001] The present application relates to the technical field of high-altitude operation maintenance power equipment, and specifically to a construction personnel safety monitoring method, device, electronic equipment and storage medium. Background Art

[0002] In the power transportation system, the use of power equipment is indispensable, and the quality of its operating status is directly related to the quality and stability of power supply. Therefore, regular maintenance and repair of power equipment is a key measure to ensure the stability and safety of power supply.

[0003] Since most power equipment, such as transmission lines and transformers, are often installed at high altitudes such as poles and towers, this feature determines that maintenance work often requires high-altitude operations. High-altitude operations themselves contain high risks, and once an accident occurs, the consequences are often extremely serious. Therefore, it is particularly important to monitor the safety of construction workers in real time. However, the current monitoring of construction worker safety mainly focuses on manual monitoring, and manual judgment of the safety status of construction workers is made through visual observation, but this manual judgment method is inaccurate.

[0004] Therefore, there is an urgent need for a construction worker safety monitoring method, device, electronic equipment and storage medium that can solve the above-mentioned technical problems. Summary of the invention

[0005] The present application provides a method, device, electronic device and storage medium for monitoring the safety of construction personnel. The method avoids the subjectivity in manual judgment, reduces the interference of human factors, and improves the accuracy and reliability of judgment by automatically acquiring the environmental data of the area to be monitored and the construction data of the target personnel.

[0006] In the first aspect, the present application provides a method for safety monitoring of construction personnel, which is applied to a monitoring platform, and the method includes: obtaining environmental data of an area to be monitored, where the area to be monitored is a maintenance area corresponding to high-altitude operations; judging whether the environmental data is consistent with preset environmental data; when the environmental data is consistent with the preset environmental data, confirming that the area to be monitored is in a normal working state; sending work instructions to a target person according to the normal working state, so that the target person performs detection operations according to the work instructions; obtaining construction data corresponding to the target person, the construction data including safety protection data, work data and vital signs data; judging whether the construction data is consistent with the preset data; when the construction data is inconsistent with the preset data, confirming that the target person is in a dangerous state, so as to perform early warning operations according to the dangerous state.

[0007] By adopting the above technical solution, the environmental data of the monitored area and the construction data of the target personnel are automatically obtained. The preset environmental data can reflect the standards and conditions for safe operation. By comparing the preset environmental data with the real-time acquired data, the safety status of the working environment and construction personnel can be judged more accurately. The real-time monitoring method is more timely than manual inspection. By judging whether the construction data is consistent with the preset data, it can automatically confirm whether the target personnel is in a dangerous state and trigger an early warning operation. The intelligent judgment method is more efficient and accurate than manual analysis.

[0008] Optionally, determining whether the environmental data is consistent with preset environmental data specifically includes: acquiring environmental data, the environmental data including temperature data, wind speed data and electromagnetic radiation data; converting the environmental data to obtain a first value; determining whether the first value is less than or equal to a preset first value; when the first value is less than or equal to the preset first value, acquiring the oxygen content; determining whether the oxygen content is less than or equal to a preset oxygen content; when the oxygen content is greater than the preset oxygen content, confirming that the monitored area is in a normal working state; when the oxygen content is less than or equal to the preset oxygen content, confirming that the monitored area is in an abnormal working state; determining preventive measures according to the abnormal working state, and prompting the target personnel with the preventive measures.

[0009] By adopting the above technical solution, temperature data, wind speed data and electromagnetic radiation data are obtained, so as to comprehensively and meticulously monitor the environmental conditions of the maintenance area corresponding to the high-altitude operation. By converting the environmental data into a first numerical value and comparing it with the preset first numerical value, it is possible to quickly determine whether the high-altitude operation meets the safe operation conditions. After confirming that the environmental data meets the safe operation conditions, the oxygen content is further monitored and compared with the preset oxygen content. Based on the oxygen content monitoring, potential hypoxia risks can be discovered and warned in time. According to the judgment result of the oxygen content, it is confirmed whether the monitored area is in a normal working state or an abnormal working state, thereby reducing manual intervention and improving the accuracy of judgment.

[0010] Optionally, after determining whether the first value is less than or equal to the preset first value, the method also includes: when the first value is greater than the preset first value, confirming that the monitored area is in a bad working condition, and sending the bad working condition to the target personnel so that the target personnel suspend maintenance work according to the bad working condition.

[0011] By adopting the above technical solution, real-time monitoring and comparison of environmental data can instantly identify whether the working environment is in a bad state. Once it is confirmed that the environment is bad, the bad state information is sent to the target personnel to suspend their maintenance work, thereby avoiding the safety risks that may be caused by continuing to work in a dangerous environment.

[0012] Optionally, after determining whether the construction data is consistent with the preset data, the method also includes: when the construction data is consistent with the preset data, confirming that the target personnel is in a safe state, obtaining work position information based on the safe state, the work position information being the current location information of the target personnel; determining whether there is work position information in the preset position table; when there is no work position information in the preset position table, confirming that the target personnel is in an end-of-maintenance state; when there is work position information in the preset position table, confirming that the target personnel is in a maintenance state.

[0013] By adopting the above technical solution, the construction data is compared with the preset data to accurately confirm whether the target personnel is in a safe state. Once safety is confirmed, the target personnel's work position information is further obtained, and the preset position table is used to determine whether the target personnel is in a detection state. When the work position information matches the information in the preset position table, it is confirmed that the target personnel is performing maintenance work; when it does not match, it is determined that the maintenance work has been completed. This intelligent judgment method not only improves the accuracy and efficiency of judgment, but also reduces the complexity of manual intervention.

[0014] Optionally, when the construction data is consistent with the preset data, it is confirmed that the target personnel is in a safe state, specifically including: obtaining a target image of the target personnel through the UAV equipment, processing the target image to obtain target data, the target data is the data corresponding to the target personnel wearing safety protection equipment; comparing the target data with the preset data; when the target data is consistent with the preset data, it is confirmed that the safety protection equipment of the target personnel is in a safe wearing state.

[0015] By adopting the above technical solution and using drone equipment, the wearing of safety protection equipment by target personnel can be monitored in real time without manual on-site inspection. Through image processing technology, target data can be quickly extracted and compared with preset data. It can be judged in a short time whether the safety protection equipment is worn safely, which reduces judgment time and improves work efficiency.

[0016] Optionally, when the target data is consistent with the preset data, after confirming that the target person's safety protection equipment is in a safe wearing state, the method also includes: obtaining vital signs data of the target person according to the wearable device, the vital signs data including blood pressure data, heart rate data, body temperature data, respiratory data and blood oxygen saturation data; converting the vital signs data into a second numerical value; when the second numerical value is less than or equal to the preset second numerical value, confirming that the target person's physical condition is in a healthy state.

[0017] By adopting the above technical solutions, wearable devices can monitor the vital signs of target personnel in real time. Once the data is abnormal, feedback can be given immediately, so that relevant personnel can take countermeasures quickly to ensure the safety of the target personnel. Based on the comprehensive data of multiple vital signs, the health status of the target personnel can be more comprehensively evaluated. Compared with the monitoring of a single indicator, this comprehensive evaluation method is more accurate and reliable.

[0018] Optionally, when the second value is less than or equal to the preset second value, after confirming that the target person's physical condition is in a healthy state, the method also includes: extracting the target image to obtain target posture information, the target posture information includes head information, hand information and foot information; inputting the target posture information into a preset posture model for processing to obtain a target result; if the target result is a correct posture, confirming that the target person is in a safe state; if the target result is an incorrect posture, confirming that the target person is in a dangerous state.

[0019] By adopting the above technical solution, the posture of the target person can be monitored in real time. By processing the target posture information through a preset posture model, it is possible to accurately determine whether the target person has adopted the correct posture; real-time monitoring and judgment of the posture of the target person can ensure that he or she maintains the correct posture during the operation, thereby reducing safety risks. This judgment method is more accurate and reliable than manual observation, and reduces misjudgments and missed judgments caused by human factors.

[0020] In a second aspect of the present application, a construction personnel safety monitoring device is provided, which is a monitoring platform, and the monitoring platform includes a receiving unit, a processing unit and a confirmation unit; the receiving unit obtains environmental data of an area to be monitored, and the area to be monitored is a maintenance area corresponding to high-altitude operations; obtains construction data corresponding to a target person, and the construction data includes safety protection data, operation data and vital signs data; the processing unit determines whether the environmental data is consistent with preset environmental data; when the environmental data is consistent with the preset environmental data, confirms that the area to be monitored is in a normal working state; sends an operation instruction to the target person according to the normal working state, so that the target person performs a detection operation according to the operation instruction; determines whether the construction data is consistent with the preset data; the confirmation unit confirms that the target person is in a dangerous state when the construction data is inconsistent with the preset data, so as to perform an early warning operation according to the dangerous state.

[0021] Optionally, the receiving unit is used to obtain environmental data, which includes temperature data, wind speed data, and electromagnetic radiation data; the processing unit is used to convert the environmental data to obtain a first numerical value; and to determine whether the first numerical value is less than or equal to a preset first numerical value. The receiving unit is used to obtain the oxygen content when the first numerical value is less than or equal to the preset first numerical value. The processing unit is used to determine whether the oxygen content is less than or equal to a preset oxygen content. The confirmation unit is used to confirm that the monitored area is in a normal working state when the oxygen content is greater than the preset oxygen content; and to confirm that the monitored area is in an abnormal working state when the oxygen content is less than or equal to the preset oxygen content. Preventive measures are determined according to the abnormal working state, and the preventive measures are prompted to the target personnel.

[0022] Optionally, the confirmation unit is used to confirm that the monitored area is in a bad working condition when the first value is greater than a preset first value, and send the bad working condition to the target personnel so that the target personnel suspend maintenance work according to the bad working condition.

[0023] Optionally, the confirmation unit is used to confirm that the target personnel is in a safe state when the construction data is consistent with the preset data, and obtain the work position information based on the safe state, the work position information being the current location information of the target personnel; the processing unit is used to determine whether there is work position information in the preset position table; the confirmation unit is used to confirm that the target personnel is in an end-of-maintenance state when there is no work position information in the preset position table; and to confirm that the target personnel is in a maintenance state when there is work position information in the preset position table.

[0024] Optionally, the receiving unit is used to obtain a target image of the target person through a drone device, process the target image, and obtain target data, where the target data is data corresponding to the target person wearing safety protection equipment; the processing unit is used to compare the target data with preset data; and the confirmation unit is used to confirm that the safety protection equipment of the target person is in a safe wearing state when the target data is consistent with the preset data.

[0025] Optionally, the receiving unit is used to obtain vital signs data of the target person based on the wearable device, the vital signs data including blood pressure data, heart rate data, body temperature data, respiratory data and blood oxygen saturation data; the processing unit is used to convert the vital signs data into a second numerical value; and the confirmation unit is used to confirm that the target person's physical condition is in a healthy state when the second numerical value is less than or equal to a preset second numerical value.

[0026] Optionally, the receiving unit is used to extract the target image to obtain target posture information, which includes head information, hand information and foot information; the processing unit is used to input the target posture information into a preset posture model for processing to obtain a target result; the confirmation unit is used to confirm that the target person is in a safe state if the target result is a correct posture; if the target result is an incorrect posture, confirm that the target person is in a dangerous state.

[0027] In a third aspect of the present application, an electronic device is provided, which includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory, so that an electronic device executes any one of the methods described above in the present application.

[0028] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any one of the above methods of the present application is executed.

[0029] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Automatically obtain environmental data of the monitored area and construction data of the target personnel. The preset environmental data can reflect the standards and conditions for safe operation. By comparing the preset environmental data with the real-time data, the safety status of the working environment and construction personnel can be judged more accurately. The real-time monitoring method is more timely than manual inspection. Then, it is judged whether the construction data is consistent with the preset data. It can automatically confirm whether the target personnel are in a dangerous state and trigger early warning operations. The intelligent judgment method is more efficient and accurate than manual analysis.

[0030] 2. Acquire temperature data, wind speed data and electromagnetic radiation data, and be able to comprehensively and meticulously monitor the environmental conditions of the maintenance area corresponding to the high-altitude operation. Convert the environmental data into a first numerical value and compare it with the preset first numerical value. It can quickly determine whether the operation meets the safe operation conditions. After confirming that the environmental data meets the safe operation conditions, further monitor the oxygen content and compare it with the preset oxygen content. Based on the oxygen content monitoring, potential hypoxia risks can be discovered and warned in time. According to the judgment result of the oxygen content, confirm whether the monitored area is in a normal working state or an abnormal working state, reduce manual intervention, and improve the accuracy of judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flow chart of a construction personnel safety monitoring method provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a construction personnel safety monitoring device provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application.

[0032] Description of reference numerals: 201, receiving unit; 202, processing unit; 203, confirmation unit; 300, electronic device; 301, processor; 302, memory; 303, user interface; 304, network interface; 305, communication bus. DETAILED DESCRIPTION

[0033] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0034] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0035] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0036] In the power transportation system, the use of power equipment is indispensable, and the quality of its operating status is directly related to the quality and stability of power supply. Therefore, regular maintenance and repair of power equipment is a key measure to ensure the stability and safety of power supply.

[0037] Since most power equipment, such as transmission lines and transformers, are often installed at high altitudes such as poles and towers, this feature determines that maintenance work often requires high-altitude operations. High-altitude operations themselves contain high risks, and once an accident occurs, the consequences are often extremely serious. Therefore, it is particularly important to monitor the safety of construction workers in real time. However, the current monitoring of construction worker safety mainly focuses on manual monitoring, and manual judgment of the safety status of construction workers is made through visual observation, but this manual judgment method is inaccurate.

[0038] Therefore, how to reduce the interference of human factors and improve the accuracy of judgment is an urgent problem to be solved. The embodiment of the present application provides a construction personnel safety monitoring method, which is applied to a monitoring platform. The monitoring platform of the present application is a platform that provides safety monitoring services for construction personnel working at heights. Figure 1 is a flow chart of a construction worker safety monitoring method provided in an embodiment of the present application, with reference to Figure 1 The method includes the following steps S101-S107.

[0039] S101: Acquire environmental data of the area to be monitored, where the area to be monitored is a maintenance area corresponding to the high-altitude operation.

[0040] In the above S101, when construction personnel need to perform high-altitude maintenance on power equipment, they need to ensure the safety of high-altitude maintenance personnel, so they need to monitor the safety of construction personnel, determine the area to be monitored this time according to the maintenance needs of construction personnel, and then define the area as the area to be monitored. The area to be detected refers to the detection area of ​​high-altitude operations. Various environmental sensors, such as temperature sensors, humidity sensors, air pressure sensors, wind speed sensors, etc., are installed in the high-altitude operation maintenance area to be monitored for real-time monitoring of environmental parameters in the area. When construction personnel are working at high altitudes, different environmental factors will affect the safety of construction personnel. Therefore, before performing high-altitude operations, construction personnel need to obtain environmental data of the area to be monitored, judge the environmental data, and determine whether the current environment can be normally maintained through the judgment results. The environmental data collected by the sensor can be transmitted to the monitoring platform by wired or wireless means. The monitoring platform performs pre-processing operations such as cleaning and format conversion on the received raw data to ensure the validity and accuracy of the data.

[0041] S102: Determine whether the environmental data is consistent with the preset environmental data.

[0042] In the above S102, whether the environmental data is consistent with the preset environmental data is determined, specifically including: obtaining environmental data, the environmental data including temperature data, wind speed data and electromagnetic radiation data; converting the environmental data to obtain a first value; determining whether the first value is less than or equal to the preset first value; when the first value is less than or equal to the preset first value, obtaining the oxygen content; determining whether the oxygen content is less than or equal to the preset oxygen content; when the oxygen content is greater than the preset oxygen content, confirming that the monitored area is in a normal working state; when the oxygen content is less than or equal to the preset oxygen content, confirming that the monitored area is in an abnormal working state; determining preventive measures according to the abnormal working state, and prompting the target personnel with the preventive measures.

[0043] Specifically, temperature sensors, wind speed sensors and electric radiation sensors are installed in the high-altitude working area to be monitored. These sensors should have high precision and stability to ensure the accuracy of the acquired data. The temperature data, wind speed data and electromagnetic radiation data collected by the sensor are transmitted to the monitoring platform through wired or wireless transmission. The received raw data is cleaned and verified to remove abnormal values ​​and noise. According to the preset conversion rules or algorithms, the temperature data, wind speed data and electromagnetic radiation data are converted into a unified numerical representation, that is, the first numerical value. This conversion process may involve standardization, normalization or weighted processing of the data. Then the first numerical value is compared with the preset first numerical value. At this time, the first numerical value includes the temperature value, wind speed value and electric radiation value. The preset first numerical value is to set a reasonable first numerical threshold according to the safety standards and operation requirements of the high-altitude operation. The converted first numerical value is compared with the preset first numerical value to determine whether it meets the requirements. Since the temperature, wind speed and electromagnetic radiation in the environmental factors are large, they will affect the safety of the construction personnel, so it is necessary to obtain environmental data. When the first numerical value is less than or equal to the preset first numerical value, it is preliminarily confirmed that the area to be monitored is in a normal environmental state. Further obtain the oxygen content, install an oxygen sensor in the area to be monitored to monitor the oxygen content in the air in real time. The oxygen content data monitored in real time is transmitted to the monitoring platform through the sensor. Then determine whether the oxygen content is less than or equal to the preset oxygen content. The preset oxygen content is based on the safety standards of high-altitude operations and human health requirements. Set a reasonable oxygen content threshold. Compare the real-time monitored oxygen content with the preset oxygen content threshold to determine whether it meets the requirements. When the oxygen content is greater than the preset oxygen content, it is confirmed that the area to be monitored is in normal working condition and suitable for high-altitude operations. When the oxygen content is less than or equal to the preset oxygen content, it is confirmed that the area to be monitored is in an abnormal working state and there may be safety hazards. According to the specific cause and severity of the abnormal working state, formulate corresponding preventive measures. These measures may include adding ventilation equipment, wearing oxygen masks, limiting working time, etc. Send reminder information of preventive measures to the target personnel through communication systems (such as walkie-talkies, text messages, APP notifications, etc.) to ensure that they understand and take corresponding protective measures. At the same time, it is also possible to consider setting up obvious warning signs or signs at the work site to remind operators to pay attention to safety.

[0044] In addition, when the first value is greater than the preset first value, it is confirmed that the monitored area is in a bad working state, and the bad working state is sent to the target personnel so that the target personnel can suspend the maintenance work according to the bad working state. When the first value is greater than the preset first value, it is confirmed that the monitored area is in a bad working state according to the preset judgment criteria. According to the plan and arrangement of the maintenance work, the target personnel (such as maintenance workers, on-site managers, etc.) who need to receive the bad working state information are determined. According to the actual situation and preferences of the target personnel, select a suitable communication method (such as walkie-talkie, SMS, APP notification, email, etc.) to send information. The information of the bad working state is sent to the target personnel through the selected communication method. The content of the information should be concise and clear, including the name of the monitored area, the type of bad working state, the recommended measures, etc. After receiving the information of the bad working state, the target personnel should read and understand its content immediately. According to the suggestions or requirements in the information, the target personnel should suspend the maintenance work in the bad working state to avoid potential safety risks. If possible, the target personnel should take some preventive measures to mitigate the impact of the bad working state, such as adding protective measures, adjusting the operation plan, etc.

[0045] For example, the temperature data of the area to be monitored is obtained. If the temperature data is 43°C, the first value is 43°C at this time, the temperature threshold of the preset first value is set to 40°C, and the first value is greater than the preset first value. At this time, it indicates that the temperature of the area to be monitored is too high, and the construction personnel may be unable to perform high-altitude operations due to health problems such as heat stroke and heat exhaustion. Therefore, the area to be monitored is in a bad working state at this time, and it is recommended that the construction personnel suspend maintenance work. When the first value is wind speed, the first value is obtained as wind speed level 6, and the wind speed threshold of the preset first value is set to level 5. The first value is greater than the preset first value. At this time, it indicates that the wind speed in the area to be monitored is too high. When it exceeds the safety operation standard, the risk of falling of construction personnel is increased, and high-altitude operations should be prohibited at this time. When the intensity of electromagnetic radiation exceeds the safety limit, it may cause potential harm to the health of construction personnel, and high-altitude operations should be suspended at this time. Once a bad working state is detected, the information can be quickly sent to the target personnel so that they can take appropriate measures to ensure safety.

[0046] S103: When the environmental data is consistent with the preset environmental data, confirm that the area to be monitored is in a normal working state.

[0047] In the above S103, when the environmental data is consistent with the preset environmental data, that is, the first value is less than or equal to the preset first value, and the oxygen content is greater than the preset oxygen content, it can be confirmed that the monitored object is in a normal working state, that is, it is suitable for maintenance personnel to perform high-altitude operations at this time.

[0048] S104: Sending a work instruction to the target person according to the normal working state, so that the target person performs the detection operation according to the work instruction.

[0049] In the above S104, after confirming that the current environment of the monitored area is suitable for high-altitude operations, a work instruction including the work location, time, task content, etc. is sent to the target personnel (such as maintenance workers) through a communication system (such as an intercom, text message, APP notification, etc.), so that the target personnel can start performing high-altitude maintenance operations according to the work instruction.

[0050] S105: Acquire construction data corresponding to the target personnel, where the construction data includes safety protection data, operation data, and vital signs data.

[0051] In the above S105, after the target personnel starts to perform the maintenance work, the target personnel are confirmed to configure wearable devices for real-time detection of the construction data of the target personnel. The construction data includes safety protection data, operation data and vital signs data. The safety protection data refers to safety belts, safety helmets and isolation suits, etc. Operation data refers to the operation process and operation actions of the construction personnel when the construction personnel are performing maintenance work. Vital signs data refers to heart rate, blood pressure, body temperature, respiration and blood oxygen saturation, etc. These devices transmit the real-time collected data to the monitoring platform wirelessly.

[0052] S106: Determine whether the construction data is consistent with the preset data.

[0053] In the above S106, since the construction data includes safety protection data, operation data and vital signs data, each data in the construction data is compared with the preset data in turn. The preset data is set according to the safety regulations and personnel health standards of high-altitude operations, and reasonable construction data thresholds or ranges are set, such as safety protection compliance, rationality of operation time, normal range of vital signs, etc. The real-time monitored construction data is compared and analyzed with the preset data to determine whether there is any abnormality.

[0054] At this time, when the construction data is safety protection data, the target image of the target person is obtained through the drone equipment, the target image is processed to obtain the target data, and the target data is the data corresponding to the target person wearing the safety protection equipment; the target data is compared with the preset data; when the target data is consistent with the preset data, it is confirmed that the safety protection equipment of the target person is in a safe wearing state. Specifically, a drone with a high-definition camera or other imaging sensor is selected to ensure that it can meet the requirements for clear imaging of the target person. The drone can plan the flight in advance to ensure stable flight over the target area and can capture the image of the target person. Start the drone and control it to fly over the target area. The image of the target person is collected in real time through the camera or other imaging sensors of the drone. The collected image should contain enough details for subsequent image processing and analysis. The collected target image is preprocessed, including denoising, contrast enhancement, brightness adjustment and other operations to improve the image quality and make it more suitable for subsequent analysis and processing. Image processing technology is used to extract features related to the target person wearing safety protection equipment from the preprocessed image. These features can include the shape, color, texture, etc. of the equipment. The accuracy and completeness of feature extraction are crucial for subsequent data comparison and status confirmation. Based on the extracted features, target data is generated. These data can be feature values ​​expressed in numerical form or equipment outlines or areas expressed in image form. The target data should be able to accurately reflect the situation of the target person wearing safety protection equipment. The target data is then compared with the preset data, which is set according to the standard wearing requirements and specifications of the safety protection equipment. The preset data can include feature values ​​or image templates such as the correct wearing state, position, and color of the equipment. The generated target data is compared with the preset data. This can be achieved through technical means such as image matching algorithms and feature value comparison algorithms. The purpose of the comparison is to determine whether the safety protection equipment worn by the target person is consistent with the preset data, that is, whether it meets the safety wearing standards. Based on the comparison results of the target data and the preset data, it is determined whether the safety protection equipment of the target person is in a safe wearing state. If the target data is consistent with the preset data, it is confirmed that the safety protection equipment is worn correctly; if it is inconsistent, it may indicate that the safety protection equipment is not worn correctly, that is, the target person is in a dangerous state at this time.

[0055] Further, when the construction data is vital sign data, the vital sign data of the target person is obtained according to the wearable device, and the vital sign data includes blood pressure data, heart rate data, body temperature data, respiration data and blood oxygen saturation data; the vital sign data is converted into a second value; when the second value is less than or equal to the preset second value, it is confirmed that the physical condition of the target person is in a healthy state. Specifically, a wearable device that can monitor vital sign data such as blood pressure, heart rate, body temperature, respiration and blood oxygen saturation is selected. These devices usually include smart bracelets, health watches, heart rate headphones, etc., which have built-in corresponding sensors and algorithms, and can monitor and record the vital sign data of the target person in real time. Ensure that the target person wears the wearable device correctly, and perform corresponding settings and calibration according to the instructions for use of the device. The wearable device starts working, collects the vital sign data of the target person in real time, and stores the data in the internal memory of the device or transmits it to the cloud server by wireless mode for storage and analysis. The collected vital sign data is preprocessed, including data cleaning, denoising, calibration and other operations to ensure the accuracy and reliability of the data. The preprocessed vital sign data is converted into a second value. This usually involves converting the raw data into a standardized numerical representation for subsequent comparison and analysis. For example, blood pressure data can be converted to millimeters of mercury (mmHg), heart rate data can be converted to beats per minute (bpm), body temperature data can be converted to degrees Celsius (℃), respiration data can be converted to beats per minute, and blood oxygen saturation data can be converted to percentage (%). The second value is then compared with the preset second value, and the preset second value of each vital sign data is set according to medical standards and health guidelines. These values ​​usually represent normal or healthy ranges. For example, for blood pressure, the preset second value can be set to systolic pressure less than 140mmHg and diastolic pressure less than 90mmHg; for heart rate, the preset second value can be set to 60-100bpm; for body temperature, the preset second value can be set to 36-37℃; for respiration, the preset second value can be set to 16-20 beats per minute; for blood oxygen saturation, the preset second value can be set to more than 95%. The second value is compared with the preset second value. For each vital sign data, if the second value is less than or equal to the preset second value, the data is considered to be in a normal or healthy range, indicating that the target person's physical condition is in a healthy state. At this time, a health status report can be generated and displayed to the target person through the display screen of the wearable device, mobile phone APP, etc. If the second value is greater than the preset second value, it is confirmed that the data is in an abnormal state, indicating that the target person's physical condition is in a dangerous state.

[0056] Furthermore, when the construction data is operation data, the target image is extracted to obtain the target posture information, which includes head information, hand information and foot information; the target posture information is input into the preset posture model for processing to obtain the target result; if the target result is the correct posture, it is confirmed that the target person is in a safe state; if the target result is the wrong posture, it is confirmed that the target person is in a dangerous state. Specifically, the image of the target person, i.e., the target image, is obtained by using the drone equipment. The collected image is preprocessed, including denoising, contrast enhancement, brightness adjustment and other operations to improve the image quality. This is helpful for subsequent target detection and posture extraction. Computer vision technology, such as convolutional neural network (CNN), is used to perform target detection on the preprocessed image. The purpose of this step is to identify the target person in the image and determine its position and range. Based on the target detection, the posture of the target person is extracted using the posture estimation algorithm. This usually involves the detection of key points of the human body, such as the head, hands, feet, etc. Through key point detection, the target posture information of the target person can be obtained, including the position and angle of each key point. Before inputting the target posture information into the preset posture model for processing, a preset posture model needs to be built first. This model can be designed and trained according to actual needs to identify the correct posture and incorrect posture of the target person. The model can be trained and optimized based on deep learning algorithms, such as recurrent neural networks (RNNs), long short-term memory networks (LSTMs), etc. Input the extracted target posture information into the preset posture model. This usually involves converting the posture information into a format that the model can understand, such as feature vectors, image matrices, etc. The preset posture model processes the input target posture information and determines whether the posture of the target person is correct through calculation and analysis. After the model processing is completed, the target result is output. This result can be a classification label, such as "correct posture" or "incorrect posture", or a probability value indicating the possibility that the target person is in a correct posture or an incorrect posture. According to the target result output by the model, determine whether the posture of the target person is correct. If the target result is "correct posture", the target person is considered to be in a safe state; if the target result is "incorrect posture", the target person is considered to be in a dangerous state. According to the judgment result, confirm the safety status of the target person. This can be achieved by recording status information in the system, sending notifications or alarms to relevant personnel, etc. According to the confirmed safety status, corresponding follow-up actions are taken. For example, if the target person is in a dangerous state, the emergency response mechanism can be triggered and necessary measures can be taken to ensure his safety.

[0057] S107: When the construction data is inconsistent with the preset data, it is confirmed that the target personnel is in a dangerous state so as to perform an early warning operation according to the dangerous state.

[0058] In the above S107, when the construction data is inconsistent with the preset data, the inconsistency at this time means comparing the construction data with the preset data in sequence. If there is a data in the construction data that is inconsistent with the preset data, it can be confirmed that the construction data is inconsistent with the preset data, indicating that the target personnel are in a dangerous state. At this time, the dangerous state includes inadequate safety protection, too long operation time, and abnormal vital signs. According to the inconsistency, different dangerous states are output. Then, according to the dangerous state, the early warning mechanism is immediately triggered, and an early warning signal is sent to the target personnel, on-site management personnel or the central monitoring center through sound and light alarms, SMS notifications, APP push, etc., and necessary emergency guidance or suggestions are provided, such as immediately stopping the operation and evacuating the dangerous area.

[0059] In addition, when the construction data is consistent with the preset data, it is confirmed that the target personnel is in a safe state, and the operation position information is obtained according to the safe state. The operation position information is the current location information of the target personnel; it is determined whether the operation position information exists in the preset position table; when the operation position information does not exist in the preset position table, it is confirmed that the target personnel is in the maintenance end state; when the operation position information exists in the preset position table, it is confirmed that the target personnel is in the maintenance state. Specifically, when the construction data is consistent with the preset data, it means that the safety protection data, operation data and vital signs data are compared with the preset data in turn, and the comparison results are all normal, then it can be confirmed that the target personnel is in a safe state. The safe state means that the personnel safety protection is in place, the operation operation is standardized and the vital signs are normal. Then use GPS positioning, Bluetooth positioning, Wi-Fi positioning or other indoor positioning technologies to obtain the current location information of the target personnel in real time. The acquired location information is integrated with the construction data to form a comprehensive data set containing multi-dimensional information such as the location of the target personnel and the construction status. Before carrying out maintenance work, it is necessary to first construct a preset location table according to the maintenance plan. The preset location table contains the location where the operation needs to be carried out this time and its related information (such as location name, coordinates, area, etc.). The obtained operation location information is matched with the preset location table to determine whether the operation location is in the table. This usually involves algorithms such as comparison of location coordinates and name matching. If the obtained operation location information does not exist in the preset location table, it means that the target personnel may have completed the maintenance work and left the preset maintenance area. At this time, it is confirmed that the target personnel is in the maintenance end state. If the obtained operation location information exists in the preset location table, it means that the target personnel is still performing maintenance work in the preset maintenance area. At this time, it is confirmed that the target personnel is in the maintenance state. The maintenance state means that the maintenance work has not yet ended, and the target personnel are required to continue to maintain the power equipment. When the target personnel are still in the maintenance state, the construction data of the target personnel will continue to be monitored in real time, and then the monitored data will be compared with the preset data to determine the safety of the construction personnel. By real-time monitoring of construction data, obtaining operation location information, and performing consistency judgment and status confirmation based on preset data, safety management and status monitoring of construction personnel are achieved.

[0060] The present application also provides a construction worker safety monitoring device. Figure 2 is a schematic diagram of a construction worker safety monitoring device provided in an embodiment of the present application, with reference to Figure 2 The device is a monitoring platform, which includes a receiving unit 201, a processing unit 202 and a confirmation unit 203.

[0061] The receiving unit 201 obtains environmental data of the area to be monitored, which is the maintenance area corresponding to the high-altitude operation; obtains construction data corresponding to the target personnel, which includes safety protection data, operation data and vital signs data.

[0062] Processing unit 202 determines whether the environmental data is consistent with the preset environmental data; when the environmental data is consistent with the preset environmental data, confirms that the monitored area is in a normal working state; sends an operation instruction to the target personnel according to the normal working state, so that the target personnel can perform the detection operation according to the operation instruction; determines whether the construction data is consistent with the preset data.

[0063] The confirmation unit 203 confirms that the target personnel is in a dangerous state when the construction data is inconsistent with the preset data, so as to perform an early warning operation according to the dangerous state.

[0064] In a possible implementation, the receiving unit 201 is used to obtain environmental data, which includes temperature data, wind speed data, and electromagnetic radiation data; the processing unit 202 is used to convert the environmental data to obtain a first value; and determine whether the first value is less than or equal to a preset first value. The receiving unit 201 is used to obtain the oxygen content when the first value is less than or equal to the preset first value; the processing unit 202 is used to determine whether the oxygen content is less than or equal to the preset oxygen content; the confirmation unit 203 is used to confirm that the monitored area is in a normal working state when the oxygen content is greater than the preset oxygen content; and to confirm that the monitored area is in an abnormal working state when the oxygen content is less than or equal to the preset oxygen content; and to determine preventive measures according to the abnormal working state, and to prompt the target personnel with the preventive measures.

[0065] In a possible implementation, the confirmation unit 203 is used to confirm that the monitored area is in a poor working condition when the first value is greater than a preset first value, and send the poor working condition to the target personnel so that the target personnel suspend maintenance work according to the poor working condition.

[0066] In a possible implementation, the confirmation unit 203 is used to confirm that the target personnel is in a safe state when the construction data is consistent with the preset data, and obtain the work position information based on the safe state, where the work position information is the current position information of the target personnel; the processing unit 202 is used to determine whether there is work position information in the preset position table; the confirmation unit 203 is used to confirm that the target personnel is in an end-of-maintenance state when there is no work position information in the preset position table; and to confirm that the target personnel is in a maintenance state when there is work position information in the preset position table.

[0067] In a possible implementation, the receiving unit 201 is used to obtain a target image of a target person through a drone device, process the target image, and obtain target data, where the target data is data corresponding to the safety protection equipment worn by the target person; the processing unit 202 is used to compare the target data with preset data; and the confirmation unit 203 is used to confirm that the safety protection equipment of the target person is in a safe wearing state when the target data is consistent with the preset data.

[0068] In a possible implementation, the receiving unit 201 is used to obtain vital sign data of the target person based on the wearable device, where the vital sign data includes blood pressure data, heart rate data, body temperature data, respiratory data, and blood oxygen saturation data; the processing unit 202 is used to convert the vital sign data into a second numerical value; and the confirmation unit 203 is used to confirm that the physical condition of the target person is in a healthy state when the second numerical value is less than or equal to a preset second numerical value.

[0069] In a possible implementation, the receiving unit 201 is used to extract the target image to obtain target posture information, which includes head information, hand information, and foot information; the processing unit 202 is used to input the target posture information into a preset posture model for processing to obtain a target result; the confirmation unit 203 is used to confirm that the target person is in a safe state if the target result is a correct posture; if the target result is an incorrect posture, confirm that the target person is in a dangerous state.

[0070] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0071] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 302 , and at least one communication bus 305 .

[0072] The communication bus 305 is used to realize the connection and communication between these components.

[0073] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0074] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0075] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 302, and calling data stored in the memory 302. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application requests; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0076] Among them, the memory 302 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 302 includes a non-transitory computer-readable storage medium. The memory 302 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 302 may include a program storage area and a data storage area, wherein the program storage area. Instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc. can be stored; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 302 can also be optionally at least one storage device located away from the aforementioned processor 301.

[0077] like Figure 3As shown, the memory 302 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program of the construction personnel safety monitoring device.

[0078] exist Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 301 can be used to call the application program of the construction personnel safety monitoring device stored in the memory 302. When executed by one or more processors, the electronic device executes one or more methods described in the above embodiments.

[0079] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0080] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0081] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0082] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0083] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0084] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0085] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, it will be easy for those skilled in the art to think of other embodiments of the present disclosure. This application is intended to cover any variation, use or adaptive change of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure.

Claims

1. A construction worker safety monitoring method, characterized in that: Applied in a monitoring platform, the method comprises: Acquire environmental data of the area to be monitored, where the area to be monitored is a maintenance area corresponding to the high-altitude operation; Determining whether the environmental data is consistent with preset environmental data; When the environmental data is consistent with the preset environmental data, confirming that the area to be monitored is in a normal working state; Sending a work instruction to a target person according to the normal working state, so that the target person performs a detection operation according to the work instruction; Acquire construction data corresponding to the target personnel, wherein the construction data includes safety protection data, operation data, and vital sign data; Determining whether the construction data is consistent with the preset data; When the construction data is inconsistent with the preset data, it is confirmed that the target person is in a dangerous state, so as to perform an early warning operation according to the dangerous state.

2. The method according to claim 1, characterized in that The determining whether the environmental data is consistent with the preset environmental data specifically includes: Acquiring the environmental data, wherein the environmental data includes temperature data, wind speed data, and electromagnetic radiation data; Converting the environmental data to obtain a first value; Determining whether the first value is less than or equal to a preset first value; When the first value is less than or equal to the preset first value, obtaining the oxygen content; Determining whether the oxygen content is less than or equal to a preset oxygen content; When the oxygen content is greater than the preset oxygen content, confirming that the area to be monitored is in the normal working state; When the oxygen content is less than or equal to the preset oxygen content, confirming that the area to be monitored is in an abnormal working state; Preventive measures are determined according to the abnormal working state, and the preventive measures are prompted to the target personnel.

3. The method according to claim 2, characterized in that After determining whether the first value is less than or equal to a preset first value, the method further includes: When the first value is greater than the preset first value, it is confirmed that the monitored area is in a bad working state, and the bad working state is sent to the target personnel so that the target personnel suspend maintenance work according to the bad working state.

4. The method according to claim 1, characterized in that: After determining whether the construction data is consistent with the preset data, the method further includes: When the construction data is consistent with the preset data, confirm that the target person is in a safe state, and obtain the work position information according to the safe state, where the work position information is the current position information of the target person; Determine whether the operation position information exists in the preset position table; When the operation position information does not exist in the preset position table, confirming that the target personnel is in a maintenance end state; When the operation position information exists in the preset position table, it is confirmed that the target personnel is in a maintenance state.

5. The method according to claim 4, characterized in that When the construction data is consistent with the preset data, confirming that the target person is in a safe state specifically includes: Acquire a target image of the target person through a drone device, process the target image, and obtain target data, where the target data is data corresponding to the safety protection equipment worn by the target person; Comparing the target data with preset data; When the target data is consistent with the preset data, it is confirmed that the safety protection equipment of the target person is in a safe wearing state.

6. The method according to claim 5, characterized in that When the target data is consistent with the preset data, after confirming that the safety protection equipment of the target person is in a safe wearing state, the method further includes: Acquiring the vital sign data of the target person according to the wearable device, wherein the vital sign data includes blood pressure data, heart rate data, body temperature data, respiration data, and blood oxygen saturation data; converting the vital sign data into a second numerical value; When the second value is less than or equal to the preset second value, it is confirmed that the physical condition of the target person is in a healthy state.

7. The method according to claim 6, characterized in that After confirming that the target person is in a healthy state when the second value is less than or equal to the preset second value, the method further includes: Extracting the target image to obtain target posture information, wherein the target posture information includes head information, hand information, and foot information; Inputting the target posture information into a preset posture model for processing to obtain a target result; If the target result is a correct posture, confirming that the target person is in the safe state; If the target result is an erroneous posture, it is confirmed that the target person is in the dangerous state.

8. A construction worker safety monitoring device, characterized in that: The device is a monitoring platform, which comprises a receiving unit (201), a processing unit (202) and a confirmation unit (203); The receiving unit (201) acquires environmental data of a to-be-monitored area, the to-be-monitored area being a maintenance area corresponding to aerial work; acquires construction data corresponding to a target person, the construction data comprising safety protection data, operation data and vital sign data; The processing unit (202) determines whether the environmental data is consistent with the preset environmental data; when the environmental data is consistent with the preset environmental data, confirms that the area to be monitored is in a normal working state; sends an operation instruction to the target person according to the normal working state, so that the target person performs the detection operation according to the operation instruction; determines whether the construction data is consistent with the preset data; The confirmation unit (203) confirms that the target person is in a dangerous state when the construction data is inconsistent with the preset data, so as to perform an early warning operation according to the dangerous state.

9. An electronic device, characterized in that: The electronic device (300) comprises a processor (301), a memory (302), a user interface (303) and a network interface (304), wherein the memory (302) is used to store instructions, the user interface (303) and the network interface (304) are used to communicate with other devices, and the processor (301) is used to execute the instructions stored in the memory (302) so that the electronic device (300) executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is executed.

Images