A safety early warning method and system for an operation area

Abstract

The present invention provides a work area safety warning method and system, relating to the technical field of work area safety warning. The method comprises: obtaining work area environmental data through a combination of sensors set at preset positions in the work area; obtaining equipment operation data of mechanical equipment; obtaining construction plans and real-time train dynamics; determining whether to issue train operation warning information and the form of the train operation warning information based on the real-time train dynamics and ambient noise intensity; determining an environmental warning coefficient based on equipment operation data, rainfall, wind speed, temperature data, humidity data, visibility, and construction plans; determining a personnel safety warning coefficient based on work area monitoring video; and determining whether to issue environmental warning information and personnel warning information based on the environmental warning coefficient and the personnel safety warning coefficient. According to the present invention, the accuracy and comprehensiveness of work area safety warnings can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of safety early warning for working areas, and in particular to a method and system for safety early warning for working areas. Background Art

[0002] In related technologies, safety warnings in operating areas mainly rely on manual inspections and warnings by security personnel, that is, they mainly rely on human factors. The workload of manual inspections and warnings is very large. Therefore, excessive reliance on human factors may make it difficult to accurately detect safety hazards, resulting in low accuracy of safety warnings in operating areas.

[0003] The information disclosed in the background technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the Invention

[0004] The present invention provides a method and system for early warning of safety in an operation area, which can solve the technical problem that related technologies are difficult to improve the accuracy of early warning of safety in an operation area.

[0005] According to a first aspect of the present invention, a work area safety warning method is provided, comprising: obtaining work area environmental data at multiple moments in a warning cycle through a combination of sensors arranged at preset positions in the work area, wherein the work area environmental data include: environmental noise intensity, work area monitoring video, rainfall, wind speed, temperature data, humidity data and visibility; obtaining equipment operation data of mechanical equipment at multiple moments in the warning cycle; obtaining construction plans and real-time train dynamics; determining whether it is necessary to issue train operation warning information and the form of the train operation warning information based on the real-time train dynamics and the environmental noise intensity; determining an environmental warning coefficient based on the equipment operation data, the rainfall, the wind speed, the temperature data, the humidity data, the visibility and the construction plan; determining a personnel safety warning coefficient based on the work area monitoring video; and determining whether it is necessary to issue environmental warning information and personnel warning information based on the environmental warning coefficient and the personnel safety warning coefficient.

[0006] According to the present invention, whether it is necessary to issue a train operation warning message and the form of the train operation warning message are determined based on the real-time dynamics of the train and the intensity of the environmental noise, including: determining the real-time position of the train based on the real-time dynamics of the train; determining the real-time distance of the train based on the real-time position of the train; when the real-time distance of the train is less than or equal to a preset distance threshold, determining that a train operation warning message needs to be issued; when the real-time distance of the train is greater than the preset distance threshold, determining that there is no need to issue a train operation warning message; determining the necessary recognition result of the visual warning based on the environmental noise intensity and the preset environmental noise intensity threshold; and determining the form of the train operation warning message based on the necessary recognition result of the visual warning.

[0007] According to the present invention, an environmental warning coefficient is determined based on the equipment operation data, the rainfall, the wind speed, the temperature data, the humidity data, the visibility and the construction plan, including: determining the low-lying area operation identification result and the high-altitude operation identification result based on the construction plan; obtaining the rock and soil physical property data and the low-lying depth in the low-lying area, wherein the rock and soil physical property data include: rock strength, rock integrity, soil permeability and soil cohesion; determining the operating area environmental warning coefficient based on the low-lying area operation identification result, the high-altitude operation identification result, the rainfall, the rock and soil physical property data, the low-lying depth, the wind speed and the visibility; determining the equipment environmental warning coefficient based on the temperature data, the humidity data, the wind speed and the equipment operation data; determining the environmental warning coefficient based on the operating area environmental warning coefficient and the equipment environmental warning coefficient.

[0008] According to the present invention, the environmental warning coefficient of the operation area is determined based on the low-lying area operation identification result, the high-altitude operation identification result, the rainfall, the geophysical property data, the low-lying depth, the wind speed and the visibility, including: according to the formula

[0009] Determine the environmental warning coefficient at the i-th moment of the warning cycle ,in, is the low-lying area operation identification result at the i-th moment of the warning cycle, , is the rainfall at the i-th moment of the warning period, is the preset rainfall threshold, is the depth of the low-lying area of ​​the work at the i-th moment of the warning cycle, To preset the low-lying depth threshold, is the rock mass strength of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset rock strength threshold, is the rock mass integrity of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset rock mass integrity threshold, is the soil permeability of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset soil permeability threshold, is the soil cohesion of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset soil cohesion threshold, is the high-altitude work recognition result at the i-th moment of the warning cycle, , is the wind speed at the i-th moment of the warning period, To preset the wind speed threshold, is the visibility at the i-th moment of the warning cycle, is the preset visibility threshold.

[0010] According to the present invention, the equipment environment warning coefficient is determined based on the temperature data, the humidity data, the wind speed and the equipment operation data, including: obtaining the anti-overturning moment of the mechanical equipment; determining the wind load moment according to the wind speed; determining the wind resistance safety factor of the mechanical equipment according to the anti-overturning moment and the wind load moment; determining the equipment operating temperature and the internal humidity of the equipment according to the equipment operation data; fitting according to the equipment operating temperature and the time in the warning period to obtain the equipment temperature function of the equipment operating temperature in the warning period; determining the equipment temperature derivative function according to the equipment temperature function; determining the equipment temperature derivative function according to the equipment temperature derivative function. The device operating temperature change rate at multiple moments in the warning period is determined; fitting is performed according to the internal humidity of the device and the moments in the warning period to obtain the device humidity function of the internal humidity of the device in the warning period; according to the device humidity function, the device humidity derivative function is determined; according to the device humidity derivative function, the device internal humidity change rate at multiple moments in the warning period is determined; according to the device operating temperature, the internal humidity of the device, the device operating temperature change rate, the internal humidity change rate of the device, the temperature data and the humidity data, a temperature and humidity warning coefficient is determined; according to the wind resistance safety factor and the temperature and humidity warning coefficient, an equipment environment warning coefficient is determined.

[0011] According to the present invention, the temperature and humidity warning coefficient is determined based on the operating temperature of the device, the internal humidity of the device, the operating temperature change rate of the device, the internal humidity change rate of the device, the temperature data and the humidity data, including: according to the formula Determine the temperature and humidity warning coefficient of the jth mechanical equipment at the i-th moment of the warning cycle , where if is a conditional function, is the equipment operating temperature at the i-th moment of the warning cycle, To preset the device operating temperature threshold, is the i-th moment of the warning cycle, is the equipment operating temperature change rate at the i-th moment of the warning period, To preset the device operating temperature change rate threshold, is the temperature data of the operating area at the i-th moment of the warning cycle, is the preset temperature data threshold, is the internal humidity of the equipment at the i-th moment of the warning cycle, To preset the internal humidity threshold of the device, is the humidity change rate inside the equipment at the i-th moment of the warning cycle, To preset the humidity change rate threshold inside the device, is the humidity data of the operating area at the i-th moment of the warning cycle, It is the preset humidity data threshold.

[0012] According to the present invention, a personnel safety warning coefficient is determined based on the operation area monitoring video, including: determining a monitoring video frame based on the operation area monitoring video; determining personnel behavior characteristic data based on the monitoring video frame; determining the monitoring area type corresponding to the monitoring video frame; identifying the monitoring video frame through an image detection model to determine the personnel protection equipment; determining the personnel protection warning coefficient based on the monitoring area type and the personnel protection equipment; determining the personnel area warning coefficient based on the personnel behavior characteristic data and the monitoring area type; and determining the personnel safety warning coefficient based on the personnel protection warning coefficient and the personnel area warning coefficient.

[0013] According to the present invention, a personnel area warning coefficient is determined based on the personnel behavior characteristic data and the monitoring area type, including: determining an area safety identification result based on the monitoring area type; determining a personnel movement direction based on the personnel behavior characteristic data; obtaining an area map of the work area; determining a predicted personnel movement area based on the monitoring area type, the area map and the personnel movement direction; and determining a personnel area warning coefficient based on the area safety identification result and the predicted personnel movement area.

[0014] According to a second aspect of the present invention, there is provided a work area safety warning system, comprising: an environmental data module for acquiring work area environmental data at multiple moments in a warning cycle through a combination of sensors arranged at preset positions in the work area, wherein the work area environmental data includes: environmental noise intensity, work area monitoring video, rainfall, wind speed, temperature data, humidity data and visibility; an equipment data module for acquiring equipment operation data of mechanical equipment at multiple moments in the warning cycle; a construction plan module for acquiring construction plans and real-time train dynamics; a train warning module for determining whether it is necessary to issue train operation warning information and the form of the train operation warning information based on the real-time train dynamics and the environmental noise intensity; an environmental warning module for determining an environmental warning coefficient based on the equipment operation data, the rainfall, the wind speed, the temperature data, the humidity data, the visibility and the construction plan; a personnel warning module for determining a personnel safety warning coefficient based on the work area monitoring video; and a warning information module for determining whether it is necessary to issue environmental warning information and personnel warning information based on the environmental warning coefficient and the personnel safety warning coefficient.

[0015] Technical Effects: According to the present invention, whether or not a train operation warning message needs to be issued, as well as the form of the train operation warning message, can be determined based on the real-time train dynamics and ambient noise intensity. The impact of the operating area environment on operational safety can be assessed based on equipment operation data and operating area environmental data to determine an environmental warning coefficient. The safety status of construction personnel in the operating area can be assessed based on the operating area monitoring video to determine a personnel safety warning coefficient. Furthermore, based on the environmental warning coefficient and the personnel safety warning coefficient, it is determined whether or not environmental warning messages and personnel warning messages need to be issued, thereby improving the comprehensiveness and accuracy of operating area safety warnings. When determining the operating area environmental warning coefficient, the operating area environmental warning coefficient can be determined based on the low-lying area operation identification results, the high-altitude operation identification results, rainfall, geophysical property data, low-lying depth, wind speed, and visibility. During the calculation process, the risk factor of low-lying area operations can be fully analyzed based on rainfall, geophysical property data, and low-lying depth. The risk factor of high-altitude operations can be fully analyzed based on wind speed and visibility. Furthermore, the operating area environmental warning coefficient is determined based on the risk factor of low-lying area operations and the risk factor of high-altitude operations, thereby improving the comprehensiveness and accuracy of the operating area environmental warning coefficient. When determining the temperature and humidity warning coefficient, the temperature and humidity warning coefficient can be determined based on the equipment operating temperature, the internal humidity of the equipment, the equipment operating temperature change rate, the internal humidity change rate of the equipment, the temperature data and the humidity data. During the calculation process, the operating status of the equipment in the current environment can be evaluated based on the temperature condition, humidity condition, and temperature change condition and humidity change condition under the influence of environmental conditions, thereby improving the accuracy of the temperature and humidity warning coefficient.

[0016] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and not limiting of the present invention. Other features and aspects of the present invention will become more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can derive other embodiments based on these drawings without inventive efforts.

[0018] Figure 1 A schematic diagram exemplarily illustrates a flow chart of a method for early warning safety of an operation area according to an embodiment of the present invention;

[0019] Figure 2 A schematic diagram exemplarily illustrates determining whether it is necessary to issue train operation warning information according to an embodiment of the present invention;

[0020] Figure 3 A schematic diagram illustrating, by way of example, determining an environmental warning coefficient according to an embodiment of the present invention;

[0021] Figure 4 A schematic diagram exemplarily illustrates a method for determining a personnel safety warning coefficient according to an embodiment of the present invention;

[0022] Figure 5 A block diagram of a work area safety warning system according to an embodiment of the present invention is exemplarily shown. DETAILED DESCRIPTION

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0024] The following specific embodiments are used to describe the technical solution of the present invention in detail. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0025] Figure 1 A flow chart of a work area safety warning method according to an embodiment of the present invention is exemplarily shown, the method comprising: step S1, obtaining work area environmental data at multiple moments in the warning cycle by a combination of sensors arranged at preset positions in the work area, wherein the work area environmental data comprises: environmental noise intensity, work area monitoring video, rainfall, wind speed, temperature data, humidity data and visibility; step S2, obtaining equipment operation data of mechanical equipment at multiple moments in the warning cycle; step S3, obtaining a construction plan and real-time train dynamics; step S4, determining whether it is necessary to issue a train operation warning message and the form of the train operation warning message based on the real-time train dynamics and the environmental noise intensity; step S5, determining an environmental warning coefficient based on the equipment operation data, the rainfall, the wind speed, the temperature data, the humidity data, the visibility and the construction plan; step S6, determining a personnel safety warning coefficient based on the work area monitoring video; step S7, determining whether it is necessary to issue an environmental warning message and a personnel warning message based on the environmental warning coefficient and the personnel safety warning coefficient.

[0026] According to the working area safety warning method of an embodiment of the present invention, whether it is necessary to issue train operation warning information and the form of the train operation warning information can be determined based on the real-time dynamics of the train and the intensity of the environmental noise. The impact of the working area environment on work safety can be evaluated based on the equipment operation data and the working area environmental data to determine the environmental warning coefficient. The safety status of construction personnel in the working area can be evaluated based on the working area monitoring video to determine the personnel safety warning coefficient. Furthermore, based on the environmental warning coefficient and the personnel safety warning coefficient, it can be determined whether it is necessary to issue environmental warning information and personnel warning information, thereby improving the comprehensiveness and accuracy of the working area safety warning.

[0027] According to one embodiment of the present invention, in step S1, at multiple moments in the early warning cycle, the working area environmental data is obtained by a combination of sensors set at preset positions in the working area, wherein the working area environmental data includes: environmental noise intensity, working area monitoring video, rainfall, wind speed, temperature data, humidity data and visibility.

[0028] For example, by setting up cameras at preset locations in the work area (such as high-risk work points, both sides of the track line, high-altitude work locations and construction passage entrances), real-time monitoring videos of the work area can be obtained. By setting up rain sensors, wind sensors and temperature and humidity sensors at the most open locations in the work area, the rainfall, wind speed, temperature data and humidity data of the work area can be obtained. By using transmission sensors, the visibility of the work area can be determined according to the Beer-Lambert law. By using capacitive microphones set next to noise sources in the work area (such as crushers, pile drivers and air compressors), the ambient noise intensity of the work area can be obtained.

[0029] According to one embodiment of the present invention, in step S2, equipment operation data of the mechanical equipment is acquired at multiple moments in the early warning cycle.

[0030] For example, the equipment operation data of the mechanical equipment is obtained through sensors (such as temperature and humidity sensors) installed in the mechanical equipment.

[0031] According to one embodiment of the present invention, in step S3, the construction plan and real-time train dynamics are obtained.

[0032] For example, construction plans can be obtained based on the engineering management system, and real-time train dynamics can be obtained through the railway bureau's shared platform.

[0033] According to one embodiment of the present invention, in step S4, whether it is necessary to issue a train operation warning message and the form of the train operation warning message are determined based on the real-time dynamics of the train and the intensity of the ambient noise.

[0034] Figure 2A schematic diagram exemplarily illustrates determining whether it is necessary to issue train operation warning information according to an embodiment of the present invention.

[0035] According to one embodiment of the present invention, step S4 includes: step S41, determining the real-time position of the train based on the real-time dynamics of the train; step S42, determining the real-time distance of the train based on the real-time position of the train; step S43, when the real-time distance of the train is less than or equal to the preset distance threshold, determining that a train operation warning information needs to be issued; step S44, when the real-time distance of the train is greater than the preset distance threshold, determining that there is no need to issue a train operation warning information; step S45, determining the necessary visual warning recognition result based on the ambient noise intensity and the preset ambient noise intensity threshold; step S46, determining the form of the train operation warning information based on the necessary visual warning recognition result.

[0036] For example, according to the real-time dynamics of the train, the real-time position of the train and the real-time distance between the train and the operation area are obtained; when the real-time distance of the train is less than or equal to the preset distance threshold, it is determined that a train operation warning message needs to be issued, wherein the preset distance threshold is determined according to the speed of the train, when the train speed is less than 120km / h, the preset distance threshold is 10km, when the train speed is between 120km / h and 160km / h, the preset distance threshold is 20km, when the train speed is greater than 160km / h, the preset distance threshold is 40km, when the real-time distance of the train is greater than the preset distance threshold, it is determined that there is no need to issue a train operation warning message, and when the real-time distance of the train is less than or equal to the preset distance threshold, it is determined that a train operation warning message needs to be issued. information, and determine the form of train operation warning information according to the ambient noise intensity; when the ambient noise intensity is greater than or equal to the preset ambient noise intensity threshold (the preset ambient noise intensity threshold can be set to 85dB), it means that the noise will seriously attenuate the voice warning broadcast, and it is necessary to combine it with a visual warning. The necessary recognition result of the visual warning is "necessary". When the ambient noise intensity is less than the ambient noise intensity threshold, the necessary recognition result of the visual warning is "not necessary". When the necessary recognition result of the visual warning is "necessary", a combination of auditory warning (such as voice broadcast) and visual warning (such as light warning) must be adopted. When the necessary recognition result of the visual warning is "not necessary", an auditory warning (such as voice broadcast) or a visual warning (such as light warning) can be used alone.

[0037] According to one embodiment of the present invention, in step S5, an environmental warning coefficient is determined based on the equipment operation data, the rainfall, the wind speed, the temperature data, the humidity data, the visibility and the construction plan.

[0038] Figure 3 A schematic diagram of determining an environmental warning coefficient according to an embodiment of the present invention is exemplarily shown.

[0039] According to one embodiment of the present invention, step S5 includes: step S51, determining the low-lying area operation identification result and the high-altitude operation identification result according to the construction plan; step S52, obtaining the rock and soil physical property data and the low-lying depth in the low-lying area, wherein the rock and soil physical property data include: rock strength, rock integrity, soil permeability and soil cohesion; step S53, determining the operation area environmental warning coefficient according to the low-lying area operation identification result, the high-altitude operation identification result, the rainfall, the rock and soil physical property data, the low-lying depth, the wind speed and the visibility; step S54, determining the equipment environmental warning coefficient according to the temperature data, the humidity data, the wind speed and the equipment operation data; step S55, determining the environmental warning coefficient according to the operation area environmental warning coefficient and the equipment environmental warning coefficient.

[0040] For example, according to the construction plan, the construction area that needs to be constructed in the early warning cycle is determined. When construction needs to be carried out on a low-lying area, the low-lying area operation identification result is 1, otherwise, the low-lying area operation identification result is 0. When high-altitude operation is required, the high-altitude operation identification result is 1, otherwise, the high-altitude operation identification result is 0. Before starting construction, the geophysical property data and low-lying depth of each low-lying area in the operation area are tested. For example, the rock strength is quantitatively determined by drilling sampling and laboratory uniaxial compressive strength, the rock integrity is quantitatively measured by ROD (rock quality index) measurement, the soil permeability is quantitatively measured by laboratory measurement of permeability coefficient (K), and the soil cohesion is quantitatively measured by direct shear test. Based on the low-lying area operation identification results, high-altitude operation identification results, rainfall, geophysical property data, low-lying depth, wind speed and visibility, the impact of weather conditions on the construction safety of the construction area currently requiring construction is evaluated, and the environmental early warning coefficient of the operation area is determined. Temperature data, humidity data, wind speed and equipment operation data, the impact of the weather environment before the assessment on the safety status of mechanical equipment in the operating area, determine the environmental warning coefficient; determine the environmental warning coefficient based on the operating area environmental warning coefficient and the equipment environmental warning coefficient. For example, when the operating area environmental warning coefficient is greater than or equal to the set operating area environmental warning coefficient threshold, the operating area environmental warning result is determined to be 1, indicating that the operating environment is dangerous and an early warning is required. The set operating area environmental warning coefficient threshold can be set to 3. When the operating area environmental warning coefficient is less than the set operating area environmental warning coefficient threshold, the operating area environmental warning result is determined to be 0. When the equipment environmental warning coefficient is greater than 0, it indicates that the equipment has an operating risk in the current environment, and the equipment environmental warning result is determined to be 2. When the equipment environmental warning coefficient is equal to 0, it indicates that the equipment is less likely to have an operating risk in the current environment, and the equipment environmental warning result is determined to be 0. The environmental warning coefficient is determined based on the sum of the operating area environmental warning result and the operating area environmental warning result.

[0041] According to one embodiment of the present invention, step S53 includes: determining the environmental warning coefficient at the i-th moment of the warning period according to formula (1): ,

[0042] (1)

[0043] in, is the low-lying area operation identification result at the i-th moment of the warning cycle, , is the rainfall at the i-th moment of the warning period, is the preset rainfall threshold, is the depth of the low-lying area of ​​the work at the i-th moment of the warning cycle, To preset the low-lying depth threshold, is the rock mass strength of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset rock strength threshold, is the rock mass integrity of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset rock mass integrity threshold, is the soil permeability of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset soil permeability threshold, is the soil cohesion of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset soil cohesion threshold, is the high-altitude work recognition result at the i-th moment of the warning cycle, , is the wind speed at the i-th moment of the warning period, To preset the wind speed threshold, is the visibility at the i-th moment of the warning cycle, is the preset visibility threshold.

[0044] According to one embodiment of the present invention, is the low-lying area operation identification result at the i-th moment of the warning cycle. When it is equal to 1, the i-th moment of the warning cycle needs to be operated in the low-lying area, and the impact of factors such as rainfall and construction rock environment on the safety of low-lying operations needs to be considered. When it is equal to 0, there is no need to consider the impact of factors such as rainfall and construction rock environment on the safety of low-lying operations. is the recognition result of high-altitude work at the i-th moment of the warning cycle, when When it is equal to 1, the i-th moment of the warning cycle requires high-altitude operation, and the impact of factors such as wind and visibility on the safety of high-altitude operation needs to be considered. When it is equal to 0, there is no need to consider the impact of factors such as wind and visibility on the safety of high-altitude operations.

[0045] According to one embodiment of the present invention, is the ratio of the rainfall at the i-th moment of the warning cycle to the preset rainfall threshold. The larger the ratio, the greater the rainfall and the higher the risk of working in low-lying areas. It can be set to 20mm / h, which indicates the risk factor of low-lying area operations determined by rainfall. It is the ratio of the low-lying depth of the low-lying area at the i-th moment of the warning cycle to the preset low-lying depth threshold. The larger the ratio, the deeper the low-lying depth of the low-lying area, the lower the slope stability, the greater the possibility of landslide and deformation, and the higher the risk of working in the low-lying area. Can be set to 2m, It is the ratio of the preset rock strength threshold to the rock strength of the low-lying area at the i-th moment of the warning cycle. The larger the ratio, the smaller the rock strength of the low-lying area at the i-th moment of the warning cycle. The smaller the rock strength, the more likely it is that seepage instability will occur when the rainfall is heavy, and the higher the risk of working in the low-lying area. Determined according to the rock type, when the rock is hard rock, It can be set to 50Mpa. When the rock mass is extremely soft rock / soil, Can be set to 5Mpa, It is the ratio of the preset rock integrity threshold to the rock integrity of the low-lying area at the i-th moment of the warning cycle. The larger the ratio, the lower the rock integrity of the low-lying area at the i-th moment of the warning cycle, the greater the possibility of landslides during rainfall, and the higher the risk of operations in low-lying areas. Can be set to 90%, It is the relative difference between the soil permeability of the low-lying area of ​​the work at the i-th moment of the warning period and the preset soil permeability threshold. The larger the ratio, the more excessive or insufficient the soil permeability of the low-lying area of ​​the work at the i-th moment of the warning period. When the soil permeability is too low, a large amount of water may accumulate in the low-lying area, affecting the safety of construction personnel and construction equipment. The higher the risk of working in the low-lying area, when the soil permeability is too high, rainwater is more likely to penetrate into the rock mass, triggering a chain reaction (such as disintegration of the rock and soil skeleton or damage to the structure). Can be set to m / s, It is the ratio of the preset soil cohesion threshold to the soil cohesion of the low-lying area at the i-th moment of the warning period. The larger the ratio, the lower the soil cohesion of the low-lying area at the i-th moment of the warning period, the greater the possibility of slope sliding in the low-lying area, and the higher the risk of working in the low-lying area. Determined by soil type, e.g., when the soil type is hard plastic clay, It can be set to 30kPa. When the soil type is soft plastic silty clay, It can be set to 15kPa. When the soil type is saturated silt, Can be set to 8kPa, It indicates the risk factor of low-lying area operations determined based on the geophysical property data and the depth of the low-lying area. Indicates the hazard factor for working in low-lying areas under current rainfall levels.

[0046] According to one embodiment of the present invention, It is the ratio of the wind speed at the i-th moment of the warning period to the preset wind speed threshold. The larger the ratio, the greater the wind speed at the i-th moment of the warning period, the greater the possibility of subversive risk to large-scale lifting, precision equipment installation and personnel walking at high altitude, and the higher the danger of high-altitude operations. Can be set to 8m / s, It is the ratio of the preset visibility threshold to the visibility at the i-th moment of the warning cycle. The larger the ratio, the smaller the visibility at the i-th moment of the warning cycle, resulting in lower operator accuracy, slower response to sudden risks, and higher danger of high-altitude operations. Can be set to 500m, Indicates the risk factor of working at height under current wind speed and visibility conditions.

[0047] According to one embodiment of the present invention, It indicates that the environmental warning coefficient at the i-th moment of the warning cycle is determined based on the danger coefficient of working in low-lying areas under the current rainfall and the danger coefficient of working at high altitude under the current wind speed and visibility. The larger the warning coefficient, the more dangerous the operation.

[0048] In this way, the environmental warning coefficient of the operating area can be determined based on the identification results of low-lying area operations, the identification results of high-altitude operations, rainfall, rock and soil physical properties data, low-lying depth, wind speed and visibility. During the calculation process, the risk factor of low-lying area operations can be fully analyzed based on rainfall, rock and soil physical properties data and low-lying depth, and the risk factor of high-altitude operations can be fully analyzed based on wind speed and visibility. Furthermore, the environmental warning coefficient of the operating area is determined based on the risk factor of low-lying area operations and the risk factor of high-altitude operations, thereby improving the comprehensiveness and accuracy of the environmental warning coefficient of the operating area.

[0049] According to one embodiment of the present invention, step S54 includes: step S541, obtaining the anti-overturning moment of the mechanical equipment; step S542, determining the wind load moment according to the wind speed; step S543, determining the wind safety factor of the mechanical equipment according to the anti-overturning moment and the wind load moment; step S544, determining the equipment operating temperature and the internal humidity of the equipment according to the equipment operating data; step S545, fitting according to the equipment operating temperature and the time in the early warning cycle to obtain the equipment temperature function of the equipment operating temperature in the early warning cycle; step S546, determining the equipment temperature derivative function according to the equipment temperature function; step S547, determining the equipment temperature derivative function at multiple moments in the early warning cycle according to the equipment temperature derivative function. Equipment operating temperature change rate; step S548, fitting according to the internal humidity of the equipment and the moments in the warning period to obtain the equipment humidity function of the internal humidity of the equipment in the warning period; step S549, determining the equipment humidity derivative function according to the equipment humidity function; step S5410, determining the equipment internal humidity change rate at multiple moments in the warning period according to the equipment humidity derivative function; step S5411, determining the temperature and humidity warning coefficient according to the equipment operating temperature, the equipment internal humidity, the equipment operating temperature change rate, the equipment internal humidity change rate, the temperature data and the humidity data; step S5412, determining the equipment environment warning coefficient according to the wind safety factor and the temperature and humidity warning coefficient.

[0050] For example, the total weight of the mechanical equipment and the horizontal distance from the center of gravity of the mechanical equipment to the overturning edge are obtained, and the anti-overturning moment is determined according to the product of the total weight of the equipment and the horizontal distance; the wind pressure is determined according to the wind speed, and the windward surface area of ​​the equipment and the wind action height are determined, and the wind load moment is determined according to the product of the wind pressure, the windward surface area of ​​the equipment and the wind action height; the wind resistance safety factor of the mechanical equipment is determined according to the ratio of the anti-overturning moment to the wind load moment; the operating temperature of the equipment and the internal humidity of the equipment are obtained by the temperature sensor and humidity sensor installed in the mechanical equipment; the operating temperature of the equipment and the time in the warning cycle are fitted to obtain the time for Describe the device temperature function that changes with time during the current warning cycle; derive the device temperature function to determine the device temperature derivative function; substitute multiple moments in the warning cycle into the device temperature derivative function to determine the rate of change of the device operating temperature at multiple moments in the warning cycle; fit the internal humidity of the device and the moments in the warning cycle to obtain a device humidity function that describes the change with time during the current warning cycle; derive the device humidity function to determine the device humidity derivative function; substitute multiple moments in the warning cycle into the device humidity derivative function to determine the multiple moments in the warning cycle Humidity change rate inside the equipment; evaluate the temperature and humidity safety status of the mechanical equipment based on the equipment operating temperature, internal humidity of the equipment, equipment operating temperature change rate, internal humidity change rate of the equipment, temperature data and humidity data, and determine the temperature and humidity warning coefficient; if the wind resistance safety factor is greater than or equal to the preset wind resistance safety factor threshold, it means that the risk of overturning of the mechanical equipment is small, then the wind resistance warning recognition result is 0, no warning is required, and monitoring continues; if the wind resistance safety factor is less than the preset wind resistance safety factor threshold, it means that the risk of overturning of the mechanical equipment is large, then the wind resistance warning recognition result is 1, and a warning is required, and the preset wind resistance safety factor threshold is set. The value can be set to 1.5. If the temperature and humidity warning coefficient is greater than or equal to the preset temperature and humidity warning coefficient threshold, it means that the internal temperature and humidity of the mechanical equipment are abnormal or have a trend towards abnormality. The temperature and humidity warning recognition result is 1, and an early warning is required. If the temperature and humidity warning coefficient is less than the preset temperature and humidity warning coefficient threshold, it means that the possibility of abnormality in the internal temperature and humidity of the mechanical equipment is small. The temperature and humidity warning recognition result is 0, and no early warning is required. Continue monitoring. The preset temperature and humidity warning coefficient threshold can be set to 1. The equipment environment warning coefficient is determined based on the sum of the wind resistance warning recognition result and the temperature and humidity warning recognition result.

[0051] According to one embodiment of the present invention, step S5411 includes: determining the temperature and humidity warning coefficient of the j-th mechanical equipment at the i-th moment of the warning period according to formula (2): ,

[0052] (2)

[0053] Among them, if is a conditional function, is the equipment operating temperature at the i-th moment of the warning cycle, To preset the device operating temperature threshold, is the i-th moment of the warning cycle, is the equipment operating temperature change rate at the i-th moment of the warning period, To preset the device operating temperature change rate threshold, is the temperature data of the operating area at the i-th moment of the warning cycle, is the preset temperature data threshold, is the internal humidity of the equipment at the i-th moment of the warning cycle, To preset the internal humidity threshold of the device, is the humidity change rate inside the equipment at the i-th moment of the warning cycle, To preset the humidity change rate threshold inside the device, is the humidity data of the operating area at the i-th moment of the warning cycle, It is the preset humidity data threshold.

[0054] According to one embodiment of the present invention, in formula (2), the conditional function The value of includes the following two cases, when satisfying When the condition is met, it means that when the device operating temperature at the i-th moment of the warning period is greater than or equal to the preset device operating temperature threshold, it means that the device operating temperature is too high. The value of the condition function is 1. The preset device operating temperature threshold can be set to 60 degrees Celsius. When the condition is met, it means that the operating temperature of the equipment is within the normal range. It is necessary to determine whether an early warning is needed based on the change in the operating temperature of the equipment. The value of the condition function is , The relative difference between the device operating temperature change rate at the i-th moment of the warning period and the preset device operating temperature change rate threshold. The larger the ratio, the greater the device operating temperature change rate, and the greater the possibility of device failure. Determined by the equipment type. When the equipment type is traction power supply equipment (such as overhead line cables, transformers), It can be set to 1 degree Celsius / minute. When the equipment type is engineering machinery equipment (such as hydraulic systems and diesel engines), It can be set to 3 degrees Celsius / minute. When the equipment type is signal system equipment (such as electronic cabinets and cable connectors), Can be set to 2 degrees Celsius / minute, It is the ratio of the temperature data of the operating area at the i-th moment of the warning period to the preset temperature data threshold. The larger the ratio, the higher the temperature of the operating area at the i-th moment of the warning period, which may amplify the rising trend of the equipment operating temperature. Can be set to 30 degrees Celsius, Indicates the influence coefficient of the temperature of the working area on the operating temperature of the equipment. Indicates abnormal changes in the equipment's operating temperature, taking into account the temperature of the operating area.

[0055] According to one embodiment of the present invention, in formula (2), the conditional function The value of includes the following two cases, when satisfying When the condition is met, it means that when the internal humidity of the device at the i-th moment of the warning period is greater than or equal to the preset internal humidity threshold of the device, it means that the internal humidity of the device is too high, which may cause major risks such as electrical insulation failure and metal corrosion. The value of the condition function is 1, and the preset internal humidity threshold of the device can be set to 55%RH. When the condition is met, it means that the humidity inside the device is within the normal range. It is necessary to determine whether an early warning is needed based on the change of the humidity inside the device. The value of the condition function is , The difference between the internal humidity change rate of the device at the i-th moment of the warning period and the preset internal humidity change rate threshold of the device. The larger the ratio, the greater the internal humidity change rate of the device, and the greater the possibility of device failure. Determined by the equipment type. When the equipment type is a high voltage electrical cabinet, It can be set to 0.8%RH / minute. When the equipment type is engineering machinery equipment (such as hydraulic systems and diesel engines), Can be set to 1.5%RH / minute when the equipment type is signal system equipment (such as electronic cabinets and cable connectors) Can be set to 0.5%RH / minute, It is the ratio of the humidity data of the operating area at the i-th moment of the warning period to the preset humidity data threshold. The larger the ratio, the higher the humidity of the operating area at the i-th moment of the warning period, which may amplify the rising trend of the humidity inside the equipment. Can be set to 55%RH, Indicates the influence coefficient of humidity in the working area on the humidity inside the equipment. Indicates abnormal humidity changes inside the equipment, taking into account the humidity of the operating area.

[0056] In this way, the temperature and humidity warning coefficient can be determined based on the equipment operating temperature, equipment internal humidity, equipment operating temperature change rate, equipment internal humidity change rate, temperature data and humidity data. During the calculation process, the operating status of the equipment in the current environment can be evaluated based on the equipment's temperature condition, humidity condition, and temperature change condition and humidity change condition under the influence of environmental conditions, thereby improving the accuracy of the temperature and humidity warning coefficient.

[0057] According to one embodiment of the present invention, in step S6, a personnel safety warning coefficient is determined based on the monitoring video of the operation area.

[0058] Figure 4 A schematic diagram of determining a personnel safety warning coefficient according to an embodiment of the present invention is exemplarily shown.

[0059] According to one embodiment of the present invention, step S6 includes: step S61, determining the monitoring video frame based on the monitoring video of the working area; step S62, determining the personnel behavior characteristic data based on the monitoring video frame; step S63, determining the monitoring area type corresponding to the monitoring video frame; step S64, identifying the monitoring video frame through the image detection model to determine the personnel protection equipment; step S65, determining the personnel protection warning coefficient based on the monitoring area type and the personnel protection equipment; step S66, determining the personnel area warning coefficient based on the personnel behavior characteristic data and the monitoring area type; step S67, determining the personnel safety warning coefficient based on the personnel protection warning coefficient and the personnel area warning coefficient.

[0060] For example, the monitoring video of the working area collected by the high-definition camera is used to determine the monitoring video frames, and the interval between two adjacent monitoring video frames is 1s; the adjacent monitoring video frames are analyzed by the target detection or tracking algorithm to determine the behavioral feature data of the personnel in the monitoring video frames, for example, the position of the pedestrians in the continuous monitoring video frames is identified, and the direction of movement of the personnel is determined based on the change in the position of the personnel; according to the position of the high-definition camera that took the monitoring video to which the monitoring video frame belongs, the type of monitoring area to which the position belongs is determined, such as the live area of ​​the contact network, the aerial work platform and the mechanical operation area; the image detection model is a kind of deep learning model. The image detection model is trained by historical data so that the image detection model can identify the protective equipment worn by pedestrians in the video frames in the monitoring video frames. The monitoring video frames are identified by the image detection model to determine the protective equipment of the personnel (such as, High-voltage shielding clothing, reflective vests and full-body safety belts); determine the personnel protection warning coefficient based on the monitoring area type and personnel protective equipment. For example, when the monitoring area type corresponding to the monitoring video frame is the contact network live area, based on the protective equipment worn by the personnel identified by the image detection model, if there are personnel in the monitoring video frame who are not wearing or not wearing all the protective equipment required for working in the contact network live area (such as high-voltage shielding clothing, insulating gloves and arc protection masks), the personnel protection warning coefficient is 1, indicating that a warning is required. When all personnel are wearing the corresponding protective equipment, the personnel protection warning coefficient is 0, indicating that no warning is required; based on the personnel behavior characteristic data and the monitoring area type, assess whether the movement status of the personnel in the monitoring area is abnormal and determine the personnel area warning coefficient; determine the personnel safety warning coefficient based on the sum of the personnel protection warning coefficient and the personnel area warning coefficient.

[0061] According to one embodiment of the present invention, step S66 includes: step S661, determining the regional safety identification result based on the monitoring area type; step S662, determining the personnel movement direction based on the personnel behavior characteristic data; step S663, obtaining the regional map of the working area; step S664, determining the predicted personnel movement area based on the monitoring area type, the regional map and the personnel movement direction; step S665, determining the personnel area warning coefficient based on the regional safety identification result and the predicted personnel movement area.

[0062] For example, based on the type of monitoring area, determine whether the area belongs to the prohibited area for personnel to enter (such as the train operation blockade area and the equipment energy release area). If the area belongs to the prohibited area for personnel to enter, the regional safety identification result is 0. If the area does not belong to the prohibited area for personnel to enter, the regional safety identification result is 1. Determine the direction of personnel movement based on personnel behavior feature data; obtain the regional map of the work area based on the construction documents; determine the predicted personnel movement area based on the position of the monitoring area corresponding to the current monitoring video in the regional map and the personnel movement direction; determine the personnel area prediction based on the regional safety identification result and the predicted personnel movement area. Warning coefficient, for example, when the regional safety recognition result is 1, it means that the area belongs to the prohibited area for personnel. When a person appears in the video frame, the warning coefficient of the personnel area is determined to be 1, and a warning needs to be issued. When the regional safety recognition result is 0, it means that the area does not belong to the prohibited area for personnel. When a person appears in the video frame, the warning coefficient of the personnel area is determined based on the predicted personnel movement area. For example, when the predicted personnel movement area is the prohibited area for personnel, the warning coefficient of the personnel area is determined to be 1, and a warning needs to be issued. When the predicted personnel movement area does not belong to the prohibited area for personnel, the warning coefficient of the personnel area is determined to be 0, and no warning is required.

[0063] According to one embodiment of the present invention, in step S7, it is determined whether it is necessary to issue environmental warning information and personnel warning information based on the environmental warning coefficient and the personnel safety warning coefficient.

[0064] For example, when the environmental warning coefficient is 0, it indicates that the possibility of risk in the working area and equipment is low, and there is no need to issue an environmental warning information. When the environmental warning coefficient is 1, it indicates that the possibility of risk in the working area is high, and an environmental warning information is issued, and the risk in the working area is emphasized. When the environmental warning coefficient is 2, it indicates that the equipment is likely to have an operating risk, and an environmental warning information is issued, and it is emphasized that the working equipment should be inspected. When the environmental warning coefficient is 3, it indicates that there is risk in the working area and equipment, and an environmental warning information is issued, emphasizing the inspection of the working equipment and the working area. When the personnel warning coefficient is greater than 0, it indicates that there are construction workers who are not wearing or wearing all the corresponding protective equipment, or there are construction workers in or heading towards the prohibited area. Personnel warning information is generated according to the location of the monitoring area, for example, there are safety hazards for construction workers in area A.

[0065] According to the working area safety warning method of an embodiment of the present invention, whether it is necessary to issue train operation warning information and the form of the train operation warning information can be determined based on the real-time dynamics of the train and the intensity of the environmental noise. The impact of the working area environment on work safety can be evaluated based on the equipment operation data and the working area environmental data to determine the environmental warning coefficient. The safety status of construction personnel in the working area can be evaluated based on the working area monitoring video to determine the personnel safety warning coefficient. Furthermore, based on the environmental warning coefficient and the personnel safety warning coefficient, it can be determined whether it is necessary to issue environmental warning information and personnel warning information, thereby improving the comprehensiveness and accuracy of the working area safety warning. When determining the environmental warning coefficient for the operating area, the environmental warning coefficient for the operating area can be determined based on the identification results of low-lying area operations, the identification results of high-altitude operations, rainfall, geophysical property data, low-lying depth, wind speed, and visibility. During the calculation process, the risk factor of low-lying area operations can be fully analyzed based on rainfall, geophysical property data, and low-lying depth. The risk factor of high-altitude operations can be fully analyzed based on wind speed and visibility. Furthermore, the environmental warning coefficient for the operating area can be determined based on the risk factors of low-lying area operations and high-altitude operations, thereby improving the comprehensiveness and accuracy of the environmental warning coefficient for the operating area. When determining the temperature and humidity warning coefficient, the temperature and humidity warning coefficient can be determined based on the equipment operating temperature, internal humidity of the equipment, equipment operating temperature change rate, internal humidity change rate of the equipment, temperature data, and humidity data. During the calculation process, the operating status of the equipment in the current environment can be evaluated based on the equipment's temperature conditions, humidity conditions, and temperature and humidity change conditions under the influence of environmental conditions, thereby improving the accuracy of the temperature and humidity warning coefficient.

[0066] Figure 5A block diagram of a work area safety warning system according to an embodiment of the present invention is exemplarily shown. The system includes: an environmental data module for acquiring work area environmental data at multiple moments in a warning cycle through a combination of sensors set at preset positions in the work area, wherein the work area environmental data includes: environmental noise intensity, work area monitoring video, rainfall, wind speed, temperature data, humidity data, and visibility; an equipment data module for acquiring equipment operation data of mechanical equipment at multiple moments in the warning cycle; a construction plan module for acquiring construction plans and real-time train dynamics; a train warning module for determining whether it is necessary to issue train operation warning information and the form of the train operation warning information based on the real-time train dynamics and the environmental noise intensity; an environmental warning module for determining an environmental warning coefficient based on the equipment operation data, the rainfall, the wind speed, the temperature data, the humidity data, the visibility, and the construction plan; a personnel warning module for determining a personnel safety warning coefficient based on the work area monitoring video; and a warning information module for determining whether it is necessary to issue environmental warning information and personnel warning information based on the environmental warning coefficient and the personnel safety warning coefficient.

[0067] The present invention may be a method, an apparatus, a system and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing various aspects of the present invention.

[0068] Those skilled in the art will appreciate that the embodiments of the present invention described above and shown in the accompanying drawings are intended to be illustrative only and are not intended to limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and illustrated in the embodiments. Any variations or modifications may be made to the embodiments of the present invention without departing from the principles described.

Claims

1. A safety early warning method for an operation area, characterized in that: include: At multiple moments in the warning cycle, the operating area environmental data is obtained by a combination of sensors set at preset positions in the operating area, wherein the operating area environmental data includes: environmental noise intensity, operating area monitoring video, rainfall, wind speed, temperature data, humidity data and visibility; at multiple moments in the warning cycle, the equipment operation data of the mechanical equipment is obtained; the construction plan and the real-time dynamics of the train are obtained; according to the real-time dynamics of the train and the environmental noise intensity, it is determined whether it is necessary to issue a train operation warning information, and the form of the train operation warning information; according to the equipment operation data, the rainfall, the wind speed, the temperature data, the humidity data, the visibility and the construction plan, the environmental warning coefficient is determined; according to the operating area monitoring video, the personnel safety warning system is determined. number; determine whether it is necessary to issue environmental warning information and personnel warning information according to the environmental warning coefficient and the personnel safety warning coefficient; determine whether it is necessary to issue train operation warning information and the form of train operation warning information according to the real-time dynamics of the train and the environmental noise intensity, including: determining the real-time position of the train according to the real-time dynamics of the train; determining the real-time distance of the train according to the real-time position of the train; when the real-time distance of the train is less than or equal to a preset distance threshold, determining that it is necessary to issue train operation warning information; when the real-time distance of the train is greater than the preset distance threshold, determining that it is not necessary to issue train operation warning information; determine the necessary recognition result of visual warning according to the environmental noise intensity and the preset environmental noise intensity threshold; determine the form of train operation warning information according to the necessary recognition result of visual warning; Determining an environmental warning coefficient based on the equipment operation data, the rainfall, the wind speed, the temperature data, the humidity data, the visibility, and the construction plan, including: determining a low-lying area operation identification result and a high-altitude operation identification result based on the construction plan; obtaining geotechnical property data and the low-lying depth in the low-lying area, wherein the geotechnical property data include: rock strength, rock integrity, soil permeability, and soil cohesion; determining an operating area environmental warning coefficient based on the low-lying area operation identification result, the high-altitude operation identification result, the rainfall, the geotechnical property data, the low-lying depth, the wind speed, and the visibility; determining an equipment environmental warning coefficient based on the temperature data, the humidity data, the wind speed, and the equipment operation data; determining an environmental warning coefficient based on the operating area environmental warning coefficient and the equipment environmental warning coefficient; According to the low-lying area operation identification result, the high-altitude operation identification result, the rainfall, the geophysical property data, the low-lying depth, the wind speed and the visibility, the operation area environmental warning coefficient is determined, including: according to the formula Determine the environmental warning coefficient at the i-th moment of the warning cycle ,in, is the low-lying area operation identification result at the i-th moment of the warning cycle, , is the rainfall at the i-th moment of the warning period, is the preset rainfall threshold, is the depth of the low-lying area of ​​the work at the i-th moment of the warning cycle, To preset the low-lying depth threshold, is the rock mass strength of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset rock strength threshold, is the rock mass integrity of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset rock mass integrity threshold, is the soil permeability of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset soil permeability threshold, is the soil cohesion of the low-lying area of ​​the work at the i-th moment of the warning cycle, is the preset soil cohesion threshold, is the high-altitude work recognition result at the i-th moment of the warning cycle, , is the wind speed at the i-th moment of the warning period, To preset the wind speed threshold, is the visibility at the i-th moment of the warning cycle, is the preset visibility threshold.

2. The operation area safety early warning method according to claim 1, characterized in that: According to the temperature data, the humidity data, the wind speed and the equipment operation data, the equipment environment warning coefficient is determined, including: obtaining the anti-overturning moment of the mechanical equipment; determining the wind load moment according to the wind speed; determining the wind safety factor of the mechanical equipment according to the anti-overturning moment and the wind load moment; determining the equipment operating temperature and the internal humidity of the equipment according to the equipment operation data; fitting according to the equipment operating temperature and the time in the warning period to obtain the equipment temperature function of the equipment operating temperature in the warning period; determining the equipment temperature derivative function according to the equipment temperature function; determining the warning The rate of change of the equipment operating temperature at multiple moments in the cycle; fitting according to the internal humidity of the equipment and the moments in the warning cycle to obtain the equipment humidity function of the internal humidity of the equipment in the warning cycle; determining the equipment humidity derivative function according to the equipment humidity function; determining the rate of change of the equipment internal humidity at multiple moments in the warning cycle according to the equipment humidity derivative function; determining the temperature and humidity warning coefficient according to the equipment operating temperature, the internal humidity of the equipment, the rate of change of the equipment operating temperature, the rate of change of the internal humidity of the equipment, the temperature data and the humidity data; determining the equipment environment warning coefficient according to the wind resistance safety factor and the temperature and humidity warning coefficient.

3. The operation area safety early warning method according to claim 2, characterized in that: Determine the temperature and humidity warning coefficient according to the device operating temperature, the internal humidity of the device, the device operating temperature change rate, the internal humidity change rate of the device, the temperature data and the humidity data, including: according to the formula Determine the temperature and humidity warning coefficient of the jth mechanical equipment at the i-th moment of the warning cycle , where if is a conditional function, is the equipment operating temperature at the i-th moment of the warning cycle, To preset the device operating temperature threshold, is the i-th moment of the warning cycle, is the equipment operating temperature change rate at the i-th moment of the warning period, To preset the device operating temperature change rate threshold, is the temperature data of the operating area at the i-th moment of the warning cycle, is the preset temperature data threshold, is the internal humidity of the equipment at the i-th moment of the warning cycle, To preset the internal humidity threshold of the device, is the humidity change rate inside the equipment at the i-th moment of the warning cycle, To preset the humidity change rate threshold inside the device, is the humidity data of the operating area at the i-th moment of the warning cycle, It is the preset humidity data threshold.

4. The operation area safety early warning method according to claim 3, characterized in that: Determine a personnel safety warning coefficient based on the monitoring video of the operation area, including: determining a monitoring video frame based on the monitoring video of the operation area; determining personnel behavior characteristic data based on the monitoring video frame; determining the monitoring area type corresponding to the monitoring video frame; identifying the monitoring video frame through an image detection model to determine the personnel protective equipment; determine the personnel protection warning coefficient based on the monitoring area type and the personnel protective equipment; determine the personnel area warning coefficient based on the personnel behavior characteristic data and the monitoring area type; determine the personnel safety warning coefficient based on the personnel protection warning coefficient and the personnel area warning coefficient.

5. The operation area safety early warning method according to claim 4, characterized in that: Determine the personnel area warning coefficient based on the personnel behavior characteristic data and the monitoring area type, including: determining the area safety identification result based on the monitoring area type; determining the personnel movement direction based on the personnel behavior characteristic data; obtaining an area map of the work area; determining the predicted personnel movement area based on the monitoring area type, the area map and the personnel movement direction; determine the personnel area warning coefficient based on the area safety identification result and the predicted personnel movement area.

6. A work area safety warning system, used to execute the work area safety warning method according to any one of claims 1 to 5, characterized in that: include: An environmental data module is used to obtain the environmental data of the working area at multiple moments in the warning cycle through a combination of sensors set at preset positions in the working area, wherein the environmental data of the working area include: environmental noise intensity, working area monitoring video, rainfall, wind speed, temperature data, humidity data and visibility; an equipment data module is used to obtain the equipment operation data of mechanical equipment at multiple moments in the warning cycle; a construction plan module is used to obtain the construction plan and real-time train dynamics; a train warning module is used to determine whether it is necessary to issue train operation warning information and the form of the train operation warning information based on the real-time train dynamics and the environmental noise intensity; an environmental warning module is used to determine the environmental warning coefficient based on the equipment operation data, the rainfall, the wind speed, the temperature data, the humidity data, the visibility and the construction plan; a personnel warning module is used to determine the personnel safety warning coefficient based on the working area monitoring video; a warning information module is used to determine whether it is necessary to issue environmental warning information and personnel warning information based on the environmental warning coefficient and the personnel safety warning coefficient.

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