A power field operation personnel safety management and control method and system

Abstract

The application discloses a kind of electric power field worker safety management methods and systems, it is related to worker safety technical field, by fusing exposure heat Eae and real-time operation total length of construction Srci, can accurately quantify personnel in different operation interval, different heat source intensity environment in surface heat accumulation degree, make up the technical short board that traditional judgment ignores equipment heat reflection, ground radiation and other implicit heat load.Further, based on the comparison result of surface heat radiation cumulative index Srci and heat exposure safety threshold Thv, deduce the maximum tolerable operation time Timr in reverse, make safety evaluation not only have the description ability of current state, also have future task executable ability, form the technical foundation of initiative early warning, realize the change from experience decision to data-driven in shift control, significantly improve the precision of operation task scheduling and the safety guarantee ability of worker in high temperature environment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of worker safety, in particular to a power field worker safety management and control method and system. BACKGROUND

[0002] With the continuous expansion of power industry infrastructure and the gradual upgrading of urban power grids, field work activities involving high-voltage power transmission and transformation systems, outdoor substations, and line maintenance are becoming more frequent. In these activities, power workers are at the important end of the safe operation of the entire power supply system and are the key execution subjects to ensure the smooth completion of equipment maintenance, system operation, and line repair.

[0003] In high-temperature seasons, outdoor construction scenarios in power work, such as maintenance of main transformers in 110kV substations in summer, replacement of switch cabinets in high temperatures, and obstacle removal in power transmission corridors, most of these tasks occur in environments where the sun's direct rays, metal reflected heat, and ground heat radiation are superimposed, which can easily burden the physical state of personnel.

[0004] In high-temperature environments, although there are manual control and experience-based judgment methods for temperature, humidity, and duration, such as setting rotation frequency and uniformly arranging work periods, existing methods generally rely on external weather information, are difficult to adapt to individuals and locations, and ignore spatial heat environment distribution differences. Especially in the vicinity of equipment such as metal busbars, switch cabinets, and main transformers, due to phenomena such as enhanced reflected radiation and heat retention in enclosed areas, the actual heat exposure level of workers is much higher than the value expressed by air temperature. Current field management systems usually use outdoor air temperature thresholds such as 35℃ and work duration thresholds such as 10 minutes of rest every 40 minutes as the basis for rotation, lacking dynamic perception and quantitative evaluation methods for the superimposed effects of "local high-heat environments." This rough management cannot adapt to real-time changes in complex work environments and fails to effectively identify the risk of heat load accumulation for individual personnel in specific high-heat locations. SUMMARY

[0005] To address the deficiencies of the prior art, the present application provides a power field worker safety management and control method and system, which solves the problems mentioned in the background art.

[0006] To achieve the above purpose, the present application is implemented by the following technical solution: a power field worker safety management and control method, comprising the following steps:

[0007] S1, collecting work information of power field workers and synchronously collecting external environmental information of the work section to form a heat exposure raw data set Env;

[0008] S2, based on the heat exposure raw data set Env, a unit time heat exposure superposition model is established, the heat energy absorption state of the worker in the current work interval is calculated, and the exposure heat is output;

[0009] S3, combining the exposure heat and the real-time work total time, a surface heat radiation cumulative index Srci is constructed, and the surface heat accumulation value of the worker in the current task is quantified;

[0010] S4, the surface heat radiation cumulative index Srci is compared with the preset heat exposure safety threshold Thv, and the maximum tolerable work time Timr is output according to the comparison result;

[0011] S5, based on the comparison between the maximum tolerable work time Timr and the on-site planned work time Timc, the replacement suggestion Rea is output, and is fed back to the worker scheduling list for prompt notification.

[0012] Preferably, the S1 comprises S11;

[0013] S11, by wearing a positioning device and a wearable trajectory recording device on the workers in the power operation site, the actual position change of the workers in the power operation site during the operation period is continuously sampled, complete space movement path information is obtained, the movement trajectory of the workers in different periods is reflected, and the personnel trajectory Trj is formed;

[0014] Based on the time interval difference of the continuous stay points in the personnel trajectory Trj, combined with the sampling time stamp information, the stay time length of the workers at each space position point is calculated, and the residence time Tim of each stay point is obtained;

[0015] Wherein, the determination of the stay point is based on the stationary state of the continuous position change in the movement trajectory, when the stay time is greater than the preset stay time threshold, the space position point is marked as a stay point;

[0016] The path segment in the personnel trajectory Trj and the corresponding residence time Tim are regionally mapped according to the preset space region division rule of the power operation site, the belonging work section is identified, the work space region number Reg is formed, which is used to identify the work area in the power site operation space according to the function partition, equipment layout and heat environment characteristics;

[0017] Integrate the personnel trajectory Trj, the residence time Tim and the work space region number Reg as the work information of the power site worker.

[0018] Preferably, the S1 further comprises S12 and S13;

[0019] S12, in the space region preset in the work site, the thermal environment data corresponding to each work space region number Reg is collected and registered through the deployed temperature collection sensor, the infrared thermal imaging device and the work equipment material attribute library extracted based on the power work site layout map, including the area temperature Tem obtained through the temperature sensor, the ground infrared radiation intensity Rir obtained through the infrared thermal imaging device, and the metal structure surface light-heat reflectivity obtained through the work equipment material attribute library, forming a metal equipment reflection value Ref;

[0020] The thermal environment factor under each work space region number Reg is formed based on the area temperature Tem, the ground infrared radiation intensity Rir and the metal equipment reflection value Ref, and is numbered and arranged according to the work space region number Reg;

[0021] S13, taking the work space region number Reg as a spatial positioning index, retrieving and extracting the thermal environment parameters collected in the region corresponding to the spatial positioning index, the thermal environment parameters including the area temperature Tem, the ground infrared radiation intensity Rir and the metal equipment reflection value Ref, so as to realize the structured collection of the thermal environment factors of each region in the work site; then, the behavior data of the work personnel under each work space region number Reg is combined, the behavior data and the thermal environment parameters are bound in the spatial dimension with the work space region number Reg, and are synchronously corresponding in the time dimension, to obtain a thermal exposure raw data set Env with a unified structure format;

[0022] The behavior data includes personnel trajectory Trj and residence time Tim.

[0023] Preferably, the S2 includes S21;

[0024] S21, based on the data in the thermal exposure raw data set Env, combining the work trajectory Trj and the residence time Tim of the personnel, the thermal exposure amount of the work personnel in each work space region number Reg is calculated by superposition;

[0025] The thermal exposure superposition calculation extracts the area temperature Tem, the ground infrared radiation intensity Rir and the metal equipment reflection value Ref corresponding to the work space region number Reg, performs normalization processing to eliminate the dimensional difference between different parameters, and forms a unit space thermal exposure factor;

[0026] Then, a weighted normalization linear superposition method is used to perform weighted processing on the unit space thermal exposure factor, to obtain the thermal exposure amount of the work personnel at each residence point in the work space region number Reg region, and based on the thermal exposure amount, a unit time thermal exposure superposition model is established using a time segment sliding accumulation method.

[0027] Preferably, the S3 includes S31;

[0028] S31, record the current executed job duration Tima of the job worker, indicating the total time that the job worker has been continuously active in the continuous job path identified by the job space region number Reg since the current job task is started to the current time;

[0029] By calculating the heat exposure amount in each job space region number Reg, the heat load expression value formed by normalizing the heat exposure amount to unit time is marked as unit heat exposure intensity EaeNorm, which represents the instantaneous heat load intensity of the job worker in any time segment;

[0030] The executed job duration Tima and the unit heat exposure intensity EaeNorm are directly linearly accumulated in proportion to the duration to build the total exposure heat value for subsequent heat risk assessment. The total exposure heat value is based on the unit heat exposure intensity EaeNorm, which is expanded in the time dimension to the time interval represented by the executed job duration Tima to form the total heat exposure trend.

[0031] Preferably, the S3 further comprises S32;

[0032] S32, based on the unit heat exposure intensity EaeNorm and the executed job duration Tima, a time integral accumulation method is used to build the surface heat radiation cumulative index Srci, which is a heat accumulation index that increases with time and reflects the continuous load level of the job worker in the heat risk environment;

[0033] The time integral accumulation method takes the unit heat exposure intensity EaeNorm as the heat input intensity reference, and linearly integrates the unit heat exposure intensity EaeNorm along the executed job duration Tima of the job worker in the time dimension to obtain the total heat load integral value of the worker since the task is started.

[0034] Preferably, the S4 comprises S41;

[0035] S41, compare the surface heat radiation cumulative index Srci with the heat exposure safety threshold Thv preset by the user for different job types, climate environments and physical strength, generate a comparison result, and trigger a warning process according to the comparison result;

[0036] The warning process is triggered by the following comparison results:

[0037] When the surface heat radiation cumulative index Srci is less than the heat exposure safety threshold Thv, it indicates that the job heat accumulation is within a controllable range, and the job worker has no safety risk, and the warning process is not triggered;

[0038] When the surface heat radiation cumulative index Srci≥ the heat exposure safety threshold Thv, it indicates that the work heat accumulation exceeds the controllable range, and the work personnel has a safety risk. It indicates that the work personnel cannot continue to work under the thermal environment in the work space region number Reg, and triggers the early warning process.

[0039] Preferably, the S4 comprises S42;

[0040] S42, when the early warning process is triggered, based on the numerical deviation of the current unit heat exposure intensity EaeNorm and the heat exposure safety threshold Thv, a heat exposure intensity backtracking time backtracking algorithm is used to obtain the maximum tolerable work duration Timr;

[0041] The heat exposure intensity backtracking time backtracking algorithm calculates the maximum work time window that the work personnel can maintain from the current time under the constraint of not exceeding the heat exposure safety threshold Thv by dividing the remaining bearable heat load by the unit time heat exposure intensity Eae;

[0042] The remaining bearable heat load is obtained by subtracting the surface heat radiation cumulative index Srci from the heat exposure safety threshold Thv.

[0043] Preferably, the S5 comprises S51;

[0044] S51, compare the maximum tolerable work duration Timr with the on-site planned work duration Timc, judge the heat exposure risk level according to the comparison result, output the shift suggestion Rea, and feedback to the work personnel scheduling list for prompt notification;

[0045] The shift suggestion Rea is obtained by the following comparison method:

[0046] When the on-site planned work duration Timc> the maximum tolerable work duration Timr, it indicates that the work personnel exceeds the safe bearing upper limit in the thermal environment in the work space region number Reg, and cannot continue to the end of the work task. Mark the heat exposure risk level as level one, output the shift suggestion Rea, including the current task remaining risk work duration and the recommended replacement personnel post scheduling number.

[0047] A power field work personnel safety management and control system, comprising a work site data acquisition module, a heat exposure superposition model establishment module, a region analysis module, a early warning triggering module and a decision generation module;

[0048] The work site data acquisition module acquires the work information of the power field work personnel, and synchronously acquires the external environment information of the work section, forming a heat exposure original data set Env;

[0049] The heat exposure superposition model establishment module establishes a unit time heat exposure superposition model based on a heat exposure original data set Env, calculates heat energy absorption status of the work personnel in the current work interval, and outputs exposure heat;

[0050] The region analysis module combines exposure heat and real-time work total time length, constructs a surface heat radiation cumulative index Srci, and quantifies surface heat accumulation value of the work personnel in the current task;

[0051] The early warning triggering module compares the surface heat radiation cumulative index Srci with a preset heat exposure safety threshold Thv, outputs a maximum tolerable work time length Timr according to a comparison result, and outputs the maximum tolerable work time length Timr.

[0052] The decision generation module compares the maximum tolerable work time length Timr with a field plan work time length Timc, outputs a shift suggestion Rea, and feeds back to a work personnel scheduling list for prompt notification.

[0053] The present application provides a kind of electric power field work personnel safety control method and system, with the following beneficial effects:

[0054] (1) the surface heat radiation cumulative index Srci constructed by fusing exposure heat and real-time work total time length, can accurately quantify the degree of surface heat accumulation of personnel in different work intervals, different heat source intensity environments, and make up the technical shortcomings of traditional judgment ignoring equipment heat reflection, ground radiation and other implicit heat load. Further, based on the comparison result of the surface heat radiation cumulative index Srci and the heat exposure safety threshold Thv, the maximum tolerable work time length Timr is reversely deduced, so that the safety evaluation not only has the description ability of current state, but also has the executable ability of future task, forms the technical basis of active early warning, realizes the change of shift control from experience decision to data driven. Break through the limitation that traditional static heat environment judgment model cannot respond to dynamic changes in the field, significantly improve the precision of work task scheduling and the safety protection ability of work personnel in high temperature environment.

[0055] (2) by introducing the time integral relationship between the executed work time length Tima and the unit heat exposure intensity EaeNorm, the surface heat radiation cumulative index Srci that can dynamically reflect the cumulative effect of heat load is constructed, which breaks through the limitation of only evaluating static heat intensity parameters in the previous heat risk management method. By integrating the unit heat exposure intensity EaeNorm along the executed work time length Tima, the "surface heat retention" phenomenon caused by the inability to quickly release heat load in continuous work process is effectively restored, which greatly enhances the perception sensitivity of the model to the actual high temperature fatigue trend. Especially in the case of a large number of metal high-heat equipment and poor space ventilation in the electric power field, the timeliness monitoring ability and task adaptation prediction ability of heat accumulation problem in high heat source environment are significantly improved.

[0056] (3) Based on the dynamic comparison mechanism between the surface heat radiation cumulative index Srci and the heat exposure safety threshold Thv, a heat risk grading identification process with real-time response capability is established, and further with the help of the heat exposure intensity backtracking time backtracking algorithm, the maximum tolerable operation time Timr is accurately backtracked, the efficient closed-loop conversion from the heat exposure safety state to the shift decision instruction is realized, the operation task completion feasibility can be automatically judged, and the shift suggestion Rea is output before the heat exposure over-limit risk occurs, so that the task in the heat environment is not interrupted, the personnel is not sunstroke, and the scheduling is not unbalanced, which significantly improves the safety response initiative and task execution continuity of the power operation site in the high temperature complex scene. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 It is a safety control method for power site operation personnel of the present application.

[0058] Figure 2 It is a safety control system block diagram for power site operation personnel of the present application.

[0059] Figure 3 It is a trend diagram of the executed operation time Tima and the unit heat exposure intensity EaeNorm. DETAILED DESCRIPTION

[0060] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0061] Embodiment 1

[0062] The present application provides a safety control method for power site operation personnel, please refer to Figure 1 , comprising the following steps:

[0063] S1, collecting the operation information of the power site operation personnel, and synchronously collecting the external environment information of the operation section, forming a heat exposure original data set Env;

[0064] S2, based on the heat exposure original data set Env, establishing a unit time heat exposure superposition model, calculating the heat energy absorption state of the operation personnel in the current operation interval, and outputting the exposure heat;

[0065] S3, combining the exposure heat and the real-time operation total time, constructing the surface heat radiation cumulative index Srci, and quantifying the surface heat accumulation value of the operation personnel in the current task;

[0066] S4, comparing the surface layer heat radiation cumulative index Srci with a preset heat exposure safety threshold Thv, and outputting a maximum tolerable operation time length Timr according to a comparison result;

[0067] S5, comparing the maximum tolerable operation time length Timr with a field plan operation time length Timc, outputting a shift suggestion Rea, and feeding back to a job personnel scheduling list for prompt notification.

[0068] In the embodiment, a dynamic heat safety evaluation system is constructed with the heat exposure original data set Env as the core input, which can realize the whole process perception and intelligent judgment of the heat exposure state of personnel in the power operation site. Compared with the existing operation time judgment method which only depends on single factor indicators such as air temperature, the surface layer heat radiation cumulative index Srci constructed by fusing exposure heat and real-time operation total time length can accurately quantify the surface layer heat accumulation degree of personnel in different operation intervals and different heat source intensity environments, and make up for the technical short board of traditional judgment which ignores the implicit heat load such as equipment heat reflection and ground radiation. Further, based on the comparison result of the surface layer heat radiation cumulative index Srci and the heat exposure safety threshold Thv, the maximum tolerable operation time length Timr is reversely deduced, so that the safety evaluation not only has the description ability of the current state, but also has the executable ability of the future task, forming the technical foundation of active early warning. Finally, the dynamic comparison of the field plan operation time length Timc and the maximum tolerable operation time length Timr is combined to output the shift suggestion Rea with timeliness and pertinence, and automatically feedback to the scheduling system, realizing the change of shift control from experience decision to data driven. Breakthrough the limitation that the traditional static heat environment judgment model cannot respond to the dynamic change of the site, significantly improve the precision of operation task scheduling and the safety protection ability of operation personnel in high temperature environment.

[0069] Embodiment 2

[0070] Specifically, the S1 includes S11;

[0071] S11, through the positioning device and the wearable trajectory recording device worn by the operation personnel in the power operation site, the actual position change of the operation personnel in the operation cycle in the power operation site is continuously sampled, the complete space movement path information is obtained, the movement trajectory of the operation personnel in different periods is reflected, and the personnel trajectory Trj is formed;

[0072] Based on the time interval difference of the continuous stay points in the personnel trajectory Trj, the stay time length of the operation personnel at each space position point is calculated combined with the sampling time stamp information, and the residence time Tim of each stay point is obtained.

[0073] The determination of the stay point is based on the stationary state of the continuous position change in the movement trajectory. Whether the stay duration of the worker at an arbitrary spatial position is greater than a preset stay time threshold is judged. When the stay duration is greater than the preset stay time threshold, the spatial position point is marked as a stay point.

[0074] The path segment in the personnel trajectory Trj and the corresponding stay time Tim are regionally mapped according to the preset spatial region division rule of the power operation site, the belonging operation section is identified, the operation space region number Reg is formed, which is used to identify the operation region of the power site operation space divided according to the function partition, equipment layout and thermal environment characteristics, and is an index variable for establishing the spatial correlation between the operation personnel behavior data and the environment parameters;

[0075] The personnel trajectory Trj, the stay time Tim and the operation space region number Reg are integrated as the operation information of the power site operation personnel;

[0076] The personnel trajectory Trj is in the form of a time-continuous spatial coordinate sequence, indicating the position change of the operation personnel in the operation cycle, used to constitute the dynamic distribution basis of the operation personnel in the site space dimension, used to determine the environment, contact equipment and heat source exposure path;

[0077] The stay time Tim is in the form of the length of the stay time of the operation personnel in the same region or space point, and the unit can be second or minute, which measures the exposure duration of the personnel in a heat source environment, and is a key variable for evaluating the heat load accumulation;

[0078] The operation space region number Reg is a discrete code, which identifies the function region or heat source distribution region divided in the site operation space, and is used to provide a space label, and is used to correspond the personnel trajectory Trj and the stay time Tim information.

[0079] The S1 further includes S12 and S13;

[0080] S12, in the preset spatial region of the operation site, the thermal environment data corresponding to each operation space region number Reg is collected and registered through the deployed temperature collection sensor, the infrared thermal imaging device and the operation equipment material attribute library extracted based on the power operation site layout diagram, including the region air temperature Tem obtained through the temperature sensor, the ground infrared radiation intensity Rir obtained through the infrared thermal imaging device, and the metal structure surface light-heat reflectivity obtained through the operation equipment material attribute library, forming a metal equipment reflection value Ref;

[0081] Based on the regional air temperature Tem, the ground infrared radiation intensity Rir and the metal equipment reflection value Ref, a thermal environment factor under each work space region number Reg is constituted, and is numbered and arranged according to the work space region number Reg;

[0082] S13, taking the work space region number Reg as a spatial positioning index, searching and extracting the collected thermal environment parameters in the region corresponding to the spatial positioning index, the thermal environment parameters including the regional air temperature Tem, the ground infrared radiation intensity Rir and the metal equipment reflection value Ref, so as to realize the structured collection of the thermal environment factors of each region in the work site; then, the behavior data of the workers in each work space region number Reg is combined, the behavior data and the thermal environment parameters are bound in the spatial dimension with the work space region number Reg, and are synchronously corresponding in the time dimension, so as to obtain a thermal exposure raw data set Env with a unified structure format;

[0083] The behavior data includes the personnel trajectory Trj and the residence time Tim.

[0084] In this embodiment, by constructing a work behavior space model based on the personnel trajectory Trj, the residence time Tim and the work space region number Reg, and further spatially binding the model with the thermal environment factors such as the regional air temperature Tem, the ground infrared radiation intensity Rir and the metal equipment reflection value Ref collected from the work site, a thermal exposure raw data set Env with a unified format is finally constituted, and the structured alignment and dynamic fusion of the work behavior and the thermal environment information in the spatial dimension and the time dimension are realized. Compared with the isolated processing of the environmental monitoring data and the personnel behavior data in the prior art, the present scheme constructs a cross-fusion mechanism that can accurately map the personnel thermal exposure path by taking the work space region number Reg as the core index variable, and for the first time realizes the in-region multi-factor tracking and synchronous positioning of the personnel thermal exposure risk, so that the subsequent thermal load evaluation has better pertinence and site perception ability. Especially in the face of complex space layout, uneven distribution of power equipment heat sources or temporary shielding and the like, relying on the structured binding relationship between the personnel trajectory Trj and the thermal environment parameters, the automatic identification ability of the system to the "implicit high-heat region" and the "potential high-risk residence point" can be significantly enhanced, so as to improve the integrity and spatial coverage of the overall thermal environment risk analysis.

[0085] Embodiment 3

[0086] Specifically, the S2 includes S21;

[0087] S21, based on the data in the thermal exposure raw data set Env, combining the work trajectory Trj and the residence time Tim of the personnel, superimposing and calculating the thermal exposure amount of the workers in each work space region number Reg;

[0088] The heat exposure superposition calculation extracts the region temperature Tem, the ground infrared radiation intensity Rir, and the metal equipment reflection value Ref corresponding to the work space region number Reg, performs normalization processing, eliminates the dimensional differences between different parameters, and forms a unit space heat exposure factor;

[0089] Then, a weighted normalization linear superposition method is used to weight the unit space heat exposure factor, to obtain the heat exposure of the worker at each stay point in the work space region number Reg, and a time segment sliding accumulation method is used to establish a unit time heat exposure superposition model based on the heat exposure. The time segment sliding accumulation method takes a fixed time window as a basic unit, sequentially superimposes the heat exposure of the worker in each work space region number Reg in time sequence order, dynamically constructs the heat load evolution process, and is used to describe the heat energy accumulation trend in the entire work cycle.

[0090] The heat exposure is a quantitative index for describing the environmental heat load level of the power field worker in a specific space region and a specific time period. The heat exposure is a single value obtained by normalizing and weighting the three heat environment factors: the region temperature Tem, the ground infrared radiation intensity Rir, and the metal equipment reflection value Ref. The heat exposure has time correlation and spatial position dependence, and is a heat energy risk expression quantity after time and space binding.

[0091] In this embodiment, the multi-source heat environment parameters closely related to the personnel behavior trajectory in the heat exposure original data set Env are uniformly modeled. The method establishes a dynamic heat load modeling mechanism that fuses the three types of behavior information: the work trajectory Trj, the stay time Tim, and the work space region number Reg, and the three types of heat factors: the region temperature Tem, the ground infrared radiation intensity Rir, and the metal equipment reflection value Ref. Further, the heat exposure of the worker in a specific region is obtained by using a weighted normalization linear superposition method, and a unit time heat load evolution model is constructed based on this. Compared with the traditional exposure evaluation method using a single time point or average heat parameter, the method can dynamically track the heat load change process of the worker in the entire space path, and realizes fine-grained continuous expression of the “heat exposure trend”. This mechanism not only quantifies the heat load risk, but also predicts the time sequence evolution characteristics, especially in the field environment where the high-temperature exposure accumulates nonlinearly with time. The mechanism has the ability to identify the “inflection point risk” and “accumulation trend” in advance, thereby improving the foresight and modeling accuracy of the response to the heat stress state of the worker under high-temperature work.

[0092] Embodiment 4

[0093] Please refer to Figure 1 and Figure 3 In particular, the S3 comprises S31;

[0094] S31, record the current job personnel's executed job duration Tima, indicating the total time that the job personnel has been continuously active in the continuous job path identified by the job space region number Reg since the current job task is started to the current time;

[0095] By introducing the executed job duration Tima and explicitly associating it with the job space region number Reg in the continuous job path, the residence span of the job personnel in the actual heat exposure environment can be accurately defined, avoiding the problems of ambiguous heat source attribution and discontinuous exposure period in the traditional heat risk judgment, and improving the accuracy and response real-time of the subsequent heat accumulation risk identification;

[0096] By calculating the heat exposure amount in each job space region number Reg, the heat load expression value formed after normalizing the heat exposure amount to unit time is marked as unit heat exposure intensity EaeNorm, which represents the instantaneous heat load intensity of the job personnel in any time segment, and the heat exposure amount in each trajectory path segment is time-normalized, and finally the unit heat exposure intensity EaeNorm is formed to describe the heat load intensity in each trajectory path segment in any time period. The unit heat exposure intensity EaeNorm is essentially a time intensity expression of heat exposure amount, and is the core input quantity for subsequent heat accumulation, risk modeling and dynamic shift judgment;

[0097] The executed job duration Tima and the unit heat exposure intensity EaeNorm are directly linearly accumulated in proportion to the duration to build the total exposure heat value for subsequent heat risk assessment. The total exposure heat value is based on the unit heat exposure intensity EaeNorm, which is expanded in the time dimension to the time interval represented by the executed job duration Tima to form a heat exposure total amount trend. The accumulation process of the heat exposure total amount trend is the intensity expansion operation of the heat load on the real job time axis, which constitutes one of the core inputs of the surface heat radiation accumulation index Srci.

[0098] The S3 further comprises S32;

[0099] S32, based on the unit heat exposure intensity EaeNorm and the executed job duration Tima, a time integral accumulation method is used to build the surface heat radiation accumulation index Srci. The surface heat radiation accumulation index Srci is a heat accumulation index that increases with time, reflecting the continuous load level of the job personnel in the heat risk environment;

[0100] The time integration accumulation method takes the unit heat exposure intensity EaeNorm as the heat input intensity benchmark, linearly integrates the unit heat exposure intensity EaeNorm along the executed work duration Tima of the worker who has executed the work, and then obtains the total heat load accumulation value of the worker since the task starts;

[0101] Meanwhile, the accumulation process of the total heat load accumulation value does not consider the dynamic change of the heat dissipation factor, assumes that the heat load of the worker is continuously superimposed in this stage, constitutes a "heat retention" effect expression, and is especially suitable for monitoring the cumulative heat absorption characteristics of the skin, head, back and other parts in a high heat source environment.

[0102] In this embodiment, by introducing the time integration relationship between the executed work duration Tima and the unit heat exposure intensity EaeNorm, the surface heat radiation accumulation index Srci capable of dynamically reflecting the heat load accumulation effect is constructed, breaking through the limitation of the previous heat risk management method that only the static heat intensity parameter is evaluated at a fixed point. By integrating and accumulating the unit heat exposure intensity EaeNorm along the executed work duration Tima, this method not only realizes the time expansion expression of the actual heat exposure intensity of the worker under each work space region number Reg, but also effectively restores the "surface heat retention" phenomenon caused by the inability to quickly release the heat load in the continuous work process, greatly enhancing the perception sensitivity of the model to the actual high temperature fatigue trend. Especially in the case of a large number of metal high-heat equipment, poor space ventilation and other situations in the power field, the surface heat radiation accumulation index Srci can be used as a real-time expression of the surface heat pressure intensity, directly reflecting the difference in exposure risk and the closeness to the critical value of different personnel in the task execution process, and significantly improving the timeliness monitoring ability and task adaptation prediction ability of the heat accumulation problem in the high heat source environment.

[0103] Embodiment 5

[0104] Specifically, the S4 includes S41;

[0105] S41, by comparing the heat exposure safety threshold Thv preset by the user for different work types, climate environment and physical strength with the surface heat radiation accumulation index Srci, a comparison result is generated, and a warning process is triggered according to the comparison result;

[0106] The heat exposure safety threshold Thv is a static set value, which is usually set according to the human factors engineering standard, physiological heat tolerance model or field working condition test, and is used to judge whether the surface heat accumulation of the worker has entered the risk warning interval. By comparing the surface heat radiation accumulation index Srci with the heat exposure safety threshold Thv, the heat exposure level of the worker can be identified in real time, and it is judged whether there is a heat overload trend in the current work state;

[0107] The early warning process is triggered by the following comparison results:

[0108] When the surface heat radiation cumulative index Srci is less than the heat exposure safety threshold Thv, it indicates that the work heat accumulation is within a controllable range, and the worker has no safety risk, and the early warning process is not triggered.

[0109] When the surface heat radiation cumulative index Srci is greater than or equal to the heat exposure safety threshold Thv, it indicates that the work heat accumulation exceeds the controllable range, and the worker has a safety risk, and indicates that the worker cannot continue to work in the thermal environment in the work space region number Reg, and the early warning process is triggered.

[0110] The S4 includes S42;

[0111] S42, when the early warning process is triggered, based on the numerical deviation of the current unit heat exposure intensity EaeNorm and the heat exposure safety threshold Thv, a heat exposure intensity backtracking time backtracking algorithm is used to obtain the maximum tolerable work duration Timr;

[0112] The heat exposure intensity backtracking time backtracking algorithm calculates the maximum work time window that the worker can maintain from the current time under the constraint of not exceeding the heat exposure safety threshold Thv by dividing the remaining bearable heat load by the unit time heat exposure intensity Eae;

[0113] The remaining bearable heat load is obtained by subtracting the surface heat radiation cumulative index Srci from the heat exposure safety threshold Thv;

[0114] The maximum tolerable work duration Timr represents the theoretical upper limit time that the worker can continue to work under the thermal environment in the work space region number Reg and the known unit heat exposure intensity EaeNorm, which is used to determine whether to trigger the job intervention mechanism or the task optimization rearrangement suggestion.

[0115] The S5 includes S51;

[0116] S51, compare the maximum tolerable work duration Timr with the field plan work duration Timc, judge the heat exposure risk level according to the comparison result, output the job change suggestion Rea, and feedback to the worker scheduling list for prompt notification, as shown in Table 1;

[0117] Table 1: Job change suggestion Rea example table:

[0118] ;

[0119] The job change suggestion Rea is obtained by the following comparison method:

[0120] When the field planning operation time Timc is greater than the maximum tolerable operation time Timr, it indicates that the worker cannot continue to the end of the operation task under the thermal environment in the corresponding operation space area number Reg, and the thermal exposure risk level is marked as level one, and the replacement suggestion Rea is output, including the remaining risk operation time of the current task and the recommended replacement personnel post scheduling number;

[0121] The remaining risk operation time of the current task is obtained by subtracting the maximum tolerable operation time Timr from the field planning operation time Timc;

[0122] The recommended replacement personnel post scheduling number is obtained by replacing the first person in the list of screening conditions;

[0123] The screening conditions include screening condition one, screening condition two and screening condition three;

[0124] The screening condition one is that the current worker is not assigned to other high-intensity tasks;

[0125] The screening condition two is that the worker has the required skills or operation permission level for the current task;

[0126] The screening condition three is that the current physical state and thermal exposure cumulative situation are in a safe state;

[0127] The field planning operation time Timc refers to the total time required for the operation scheduling system to complete the entire operation process of the operation task or personnel, which is used for comparison with the maximum tolerable operation time Timr.

[0128] In this embodiment, based on the dynamic comparison mechanism between the surface thermal radiation cumulative index Srci and the thermal exposure safety threshold Thv, a thermal risk grading identification process with real-time response capability is established, and further, the maximum tolerable operation time Timr is accurately backtracked by means of the thermal exposure intensity backtracking algorithm, realizing efficient closed-loop conversion of the thermal exposure safety state to the replacement decision instruction. Unlike the traditional operation limiting method based on experience estimation or fixed time length, this method can adjust in real time according to the actual thermal exposure intensity and the remaining safety margin, ensuring that the use of the safety threshold is time-effective and individually adaptive. Furthermore, combined with the field planning operation time Timc preset in the field task system, the system can automatically judge the feasibility of completing the operation task, and output the replacement suggestion Rea before the thermal exposure exceeds the limit, which not only includes the explicit remaining risk operation time, but also integrates the multi-dimensional screening logic of the personnel skill level, task allocation state and current thermal accumulation status in the scheduling system, intelligently recommends suitable replacement objects, ensures that the task in the thermal environment does not be interrupted, the worker does not be sunstroke, and the scheduling does not be unbalanced, significantly improves the safety response initiative and task execution continuity of the power operation site in high temperature complex scene.

[0129] Example 6

[0130] A safety management and control system for power field workers, please refer to Figure 2 ,Specifically: including the operation site data acquisition module, the heat exposure superposition model building module, the regional analysis module, the early warning trigger module and the decision generation module;

[0131] The operation site data acquisition module collects the operation information of the power site workers and simultaneously collects the external environment information of the operation section to form the heat exposure raw data set Env;

[0132] The heat exposure superposition model building module establishes a unit time heat exposure superposition model based on the heat exposure raw data set Env, calculates the heat energy absorption state of the operator in the current working range, and outputs the exposure heat;

[0133] The regional analysis module combines the exposure heat and the total real-time operation time to construct the surface thermal radiation cumulative index Srci, which quantifies the surface heat accumulation value of the operator in the current task;

[0134] The early warning trigger module compares the surface thermal radiation cumulative index Srci with the preset heat exposure safety threshold Thv, and outputs the maximum tolerable operation time Timr based on the comparison result;

[0135] The decision generation module compares the maximum tolerable operation time Timr with the on-site planned operation time Timc, outputs the job change suggestion Rea, and feeds it back to the operator scheduling list for prompt notification.

[0136] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A method for safety management and control of power field workers, characterized by: The following steps are involved: S1. Collect the operation information of the power site workers and simultaneously collect the external environment information of the operation section to form the heat exposure raw data set Env; S2 includes S21: S21, based on the data in the heat exposure raw data set Env, combined with the personnel trajectory Trj and the residence time Tim, the heat exposure amount of the operator in each work space area number Reg is superimposed and calculated; The heat exposure amount is calculated by superimposing the extracted regional temperature Tem, ground infrared radiation intensity Rir, and metal equipment reflectance Ref corresponding to the work space area number Reg. After normalization, the dimension differences between different parameters are eliminated to form the unit space heat exposure factor. Then, the weighted normalized linear superposition method is used to weight the heat exposure factor per unit space to obtain the heat exposure of each worker at each stop in the work space area numbered Reg. Based on the heat exposure, the time segment sliding accumulation method is used to establish a heat exposure superposition model per unit time. S3 includes S31: S31. Record the operator's current executed operation duration Tima, which represents the total time the operator has been continuously active in the continuous operation path identified by the operation space region number Reg from the start of the current operation task to the current moment; The heat load expression value formed by normalizing the heat exposure amount calculated based on each work space area number Reg to unit time is marked as unit heat exposure intensity EaeNorm, which is used to represent the instantaneous heat load intensity of the operator in any time segment; The executed operation duration Tima and the unit heat exposure intensity EaeNorm are directly and linearly accumulated in proportion to the duration to construct a total heat exposure value for subsequent heat risk assessment. The total heat exposure value is specifically based on the unit heat exposure intensity EaeNorm. The unit heat exposure intensity EaeNorm is expanded in the time dimension to the time interval represented by the executed operation duration Tima to form a total heat exposure trend; Said S3 also includes S32; S32. Based on the unit heat exposure intensity EaeNorm and the executed operation duration Tima, a surface heat radiation cumulative index Srci is constructed using a time integral accumulation method. The surface heat radiation cumulative index Srci is a heat accumulation index that increases over time and reflects the continuous load level of the operator in the heat risk environment. The time integral accumulation method uses the unit heat exposure intensity EaeNorm as the heat input intensity benchmark, linearly integrates the unit heat exposure intensity EaeNorm along the duration Tima of the work performed by the operator in the time dimension, and then obtains the total product value of the heat load of the operator since the start of the task; S4. Compare the surface thermal radiation cumulative index Srci with the preset heat exposure safety threshold Thv, and output the maximum tolerable operation time Timr based on the comparison result; S5. Based on the comparison between the maximum tolerable operation time Timr and the planned operation time Timc on site, a job change suggestion Rea is output and fed back to the operator scheduling list for prompt notification.

2. A method for safety management and control of electric power field workers according to claim 1, characterized in that: Said S1 includes S11; S11. By having workers at the power operation site wear positioning devices and wearable trajectory recording devices, the actual position changes of the workers during the operation cycle at the power operation site are continuously sampled to obtain complete spatial movement path information, reflecting the movement trajectory of the workers at different time periods, and forming the personnel trajectory Trj; Based on the time interval difference of consecutive stay points in the personnel trajectory Trj and the sampling timestamp information, the length of time the operator stays at each spatial location is calculated to obtain the residence time Tim of each stay point; The determination of the stay point is based on the static state of continuous position changes in the moving trajectory. When the stay time is greater than the preset stay time threshold, the spatial position point is marked as a stay point. Each path segment in the personnel trajectory Trj and the corresponding residence time Tim are mapped to the area according to the preset spatial area division rules of the power operation site, and the corresponding operation section is identified to form the operation space area number Reg, which is used to identify the operation area in the power site operation space divided according to functional zoning, equipment layout and thermal environment characteristics; The personnel trajectory Trj, residence time Tim and operation space area number Reg are integrated as the operation information of the power field workers.

3. A method for safety management and control of electric power field workers according to claim 2, characterized in that: Said S1 also includes S12 and S13; S12. In the pre-set spatial area of ​​the work site, using deployed temperature collection sensors, infrared thermal imaging equipment, and a work equipment material attribute library extracted based on the power work site layout diagram, collect and register thermal environment data corresponding to each work space area number Reg. This data includes the regional air temperature Tem obtained by the temperature sensor, the ground infrared radiation intensity Rir obtained by the infrared thermal imaging equipment, and the light and heat reflectivity of the metal structure surface obtained from the work equipment material attribute library, thereby forming a metal equipment reflectance value Ref. The thermal environment factor under each work space area number Reg is formed based on the regional temperature Tem, the ground infrared radiation intensity Rir and the metal equipment reflectance value Ref, and is numbered and sorted according to the work space area number Reg; S13, using the work space region number Reg as the spatial positioning index, searching and extracting the collected thermal environment parameters in the region corresponding to the spatial positioning index, wherein the thermal environment parameters include the regional temperature Tem, the ground infrared radiation intensity Rir, and the metal equipment reflectance value Ref, thereby achieving a structured collection of thermal environment factors in each region of the work site; Subsequently, the behavioral data of the workers under each work space area number Reg are combined, and the behavioral data and thermal environment parameters are bound in the spatial dimension with the work space area number Reg, and synchronized in the time dimension to obtain the thermal exposure raw data set Env in a unified structure format; The behavior data includes personnel trajectory Trj and residence time Tim.

4. The method for safety management and control of electric power field workers according to claim 1, characterized in that: Said S4 includes S41; S41. Compare the heat exposure safety threshold Thv preset by the user for different work types, climate environments, and physical strength with the surface thermal radiation cumulative index Srci to generate a comparison result, and trigger an early warning process based on the comparison result; The warning process is triggered by the following comparison results: When the surface thermal radiation cumulative index Srci is less than the heat exposure safety threshold Thv, it means that the heat accumulation during operation is within a controllable range, there is no safety risk to the operators, and the warning process is not triggered; When the surface thermal radiation cumulative index Srci ≥ the heat exposure safety threshold Thv, it means that the heat accumulation of the operation exceeds the controllable range, and there is a safety risk for the operator. It means that the operator cannot continue to work in the hot environment within the working space area number Reg, and the early warning process is triggered.

5. A method for safety management and control of electric power field workers according to claim 4, characterized in that: Said S4 includes S42; S42. When the warning process is triggered, based on the numerical deviation between the current unit heat exposure intensity EaeNorm and the heat exposure safety threshold Thv, a heat exposure intensity back-calculation time algorithm is used to obtain the maximum tolerable operation time Timr. The heat exposure intensity back-calculation time back-calculation algorithm calculates the maximum operating time window that the operator can maintain from the current moment under the constraint of not exceeding the heat exposure safety threshold Thv by dividing the remaining tolerable heat load by the unit heat exposure intensity EaeNorm; The remaining tolerable heat load is obtained by subtracting the surface thermal radiation cumulative index Srci from the heat exposure safety threshold Thv.

6. A method for safety management and control of electric power field workers according to claim 5, characterized in that: The S5 includes S51; S51. Compare the maximum tolerable working time Timr with the planned working time Timc on site, determine the heat exposure risk level based on the comparison result, output a job change suggestion Rea, and feed it back to the operator scheduling list for prompt notification; The job change suggestion Rea is obtained by the following comparison method: When the planned on-site operation duration Timc is greater than the maximum tolerable operation duration Timr, it means that the operator exceeds the safe upper limit of the thermal environment in the operating space area number Reg and cannot continue until the end of the operation task. The heat exposure risk level is marked as level one, and the job change suggestion Rea is output, including the remaining risk operation time of the current task and the job scheduling number of the recommended replacement.

7. A power field operator safety management and control system, applied to a power field operator safety management and control method according to any one of claims 1 to 6, characterized in that: It includes a work site data acquisition module, a heat exposure superposition model building module, a regional analysis module, a warning trigger module, and a decision-making module; The operation site data acquisition module collects the operation information of the power site workers and simultaneously collects the external environment information of the operation section to form the heat exposure raw data set Env; The heat exposure superposition model building module establishes a unit time heat exposure superposition model based on the heat exposure raw data set Env, calculates the heat energy absorption state of the operator in the current working range, and outputs the heat exposure amount; The regional analysis module combines heat exposure and real-time total operation time to construct the surface thermal radiation cumulative index Srci, which quantifies the surface heat accumulation value of the operator in the current task; The early warning trigger module compares the surface thermal radiation cumulative index Srci with the preset heat exposure safety threshold Thv, and outputs the maximum tolerable operation time Timr based on the comparison result; The decision generation module compares the maximum tolerable operation time Timr with the on-site planned operation time Timc, outputs the job change suggestion Rea, and feeds it back to the operator scheduling list for prompt notification.

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