Power aerial work defense method and system based on intelligent safety belt and medium

Abstract

The application discloses a power high-altitude operation defense method and system based on an intelligent safety belt, and a medium; relates to the technical field of operation risk prevention; and the scheme constructs the risk characteristics of a high-altitude operation point through environment data and operation data, couples the environment risk characteristics and the conduction risk characteristics to obtain composite risk characteristics, finally generates a defense strategy based on the composite risk characteristics for the reference of a ground command center, can effectively cope with the superimposed risks brought by strong electric fields, complex humidity and temperature environments, exceeds the category of traditional anti-falling protection, realizes real-time perception, intelligent evaluation, active early warning and dynamic protection of key environmental hazard factors, and thus helps ground command personnel to make rapid decisions, and significantly improves the essential safety level of power high-altitude operation personnel.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of work risk prevention, and in particular to a power high-altitude work defense method and system based on an intelligent safety belt and a medium. BACKGROUND

[0002] High-altitude work, especially high-altitude work in the power industry (such as power line inspection, maintenance, installation, etc.), is a key link to ensure the stable operation of the power system, but it has extremely high inherent risks. Such work usually involves working on wires tens of meters or even hundreds of meters from the ground, on towers or high-altitude work platforms, and workers face falling, object impact, and other conventional high-altitude work risks. However, the power high-altitude work scene has its own uniqueness and complexity, and its work environment is significantly different from that of general building or industrial high-altitude work scenes, mainly in the superimposed influence of strong electric field environment, complex and variable microclimate environment (especially humidity and temperature) on worker safety.

[0003] Limitations of existing safety defense mechanisms:

[0004] The current widely used high-altitude work safety defense mechanisms, such as full-body safety belts, safety ropes, fall arresters, and safety nets, are mainly designed to prevent physical falling, the core risk. These traditional mechanisms, while effective for conventional high-altitude work, have significant shortcomings when dealing with the unique composite environmental risks (electric field, humidity, temperature, and collaborative work) of power high-altitude work:

[0005] Insufficient protection against electric fields: Traditional protective equipment (especially those containing metal components) can become carriers of induced charges or discharge points in high electric fields, not only failing to provide electric field protection, but also potentially becoming a source of electric shock risk. There is a lack of real-time sensing and early warning capabilities for the electric field strength at the worker's location.

[0006] Poor adaptability to humidity and temperature environments: Existing protective equipment lacks the ability to dynamically adjust protection strategies (such as insulation enhancement and body temperature regulation) or provide early warnings based on environmental temperature and humidity in extreme temperature and humidity environments.

[0007] Lack of comprehensive environmental risk perception and linked early warning: Traditional mechanisms mainly rely on passive protection (such as fall arrest) and personnel subjective judgment of environmental risks. There is a lack of integrated sensor systems that can accurately monitor key parameters such as electric field strength, air humidity, and environmental temperature around the work site in real time, and conduct intelligent assessment and graded early warning based on the combined risks of these parameters.

[0008] Protection measures are disconnected from environmental risks: Safety measures are often based on fixed procedures and are difficult to dynamically adjust and optimize according to real-time changes in complex microclimate environments (such as sudden high humidity accompanied by sudden temperature changes), making it impossible to achieve risk-driven precision protection.

[0009] Therefore, there is an urgent need for a safety defense mechanism specially designed for the characteristics of power aerial work scenarios. SUMMARY

[0010] The technical problem to be solved by the present application is that the current widely used safety defense mechanism for aerial work is mainly designed to prevent physical falling, which is the core risk, and although it is effective for conventional aerial work, it has significant shortcomings in dealing with the composite environmental risks (electric field, humidity, temperature, and collaborative work) specific to power aerial work. The present application aims to provide a power aerial work defense method and system based on an intelligent safety belt and a medium. Based on the traditional aerial work safety defense mechanism, the method is improved. The risk characteristics of the aerial work point are constructed by environmental data and work data. The composite risk characteristics are obtained by coupling the environmental risk characteristics and the conduction risk characteristics. Finally, the defense strategy is generated based on the composite risk characteristics for the reference of the ground command center. The main execution mechanism is the backup rope and the arrestor, which can effectively deal with the superimposed risks brought by strong electric fields, complex humidity and temperature environments, surpassing the scope of traditional arrest protection, realizing real-time perception, intelligent evaluation, active warning and dynamic protection of key environmental hazard factors, thereby helping ground command personnel make quick decisions and significantly improving the intrinsic safety level of power aerial work personnel.

[0011] The present application is realized by the following technical solutions:

[0012] The present application provides a power aerial work defense method based on an intelligent safety belt, which includes:

[0013] The environmental data and work data of the aerial work point are collected in real time based on the intelligent safety belt. The work data includes work task type data and collaborative work state data.

[0014] The risk characteristics of the aerial work point are constructed based on the environmental data and work data. The risk characteristics include environmental risk characteristics and conduction risk characteristics. The environmental risk characteristics include electrical risk characteristics, mechanical risk characteristics and meteorological risk characteristics.

[0015] The composite risk characteristics are obtained by coupling the environmental risk characteristics and the conduction risk characteristics. The composite risk characteristics consider the superimposed effects of risk characteristics.

[0016] The defense strategy is generated based on the composite risk characteristics for the reference of the ground command center.

[0017] Further optimization scheme is that the environmental data and work data of the aerial work point are collected in real time based on the intelligent safety belt. The method includes:

[0018] The environmental data of each aerial work point is collected in real time based on the intelligent safety belt.

[0019] If the current aerial work point belongs to a cooperative work task, each work point in the cooperative work task is taken as a networking node, and a cooperative work ad hoc network communication network is constructed for collecting cooperative work state data.

[0020] Further optimization scheme is that the construction method of the electrical risk feature comprises:

[0021] The electric field strength E, relative humidity B, distance L from the nearest live body, nearest line circuit variable, and nearest line voltage level of the aerial work point are acquired.

[0022] The electrical risk feature T is calculated based on the following formula: 电气 :

[0023] T 电气 = min(1, abcd);

[0024] a = min(1, );

[0025] b = 1 + X 湿度 × min(0, B-Be);

[0026] Wherein, min(*, #) represents taking the smaller one in * and #; a represents the basic breakdown risk; b represents the humidity correction coefficient; X 湿度 represents the humidity influence coefficient, which is 0.02; Be represents the electrical relative humidity safety threshold; c represents the voltage level correction coefficient, c = 1.2 when the voltage level is 500V, c = 1 when the voltage level is 220V, and c = 0.8 when the voltage level is 110V; d represents the circuit variable correction coefficient, d = 1 when the nearest line is an alternating variable, d = 1.2 when the nearest line is a direct current variable, and d = 1.5 when the nearest line is a lightning overvoltage variable.

[0027] Further optimization scheme is that the construction method of the mechanical risk feature comprises:

[0028] The anchor point load F, work personnel inclination angle α, wind speed V, and tool weight M carried by the work personnel of the aerial work point are acquired.

[0029] The mechanical risk feature T is calculated based on the following formula: 力学 :

[0030] T 力学 = min(1, φfgh);

[0031] φ = min(1, F / Fe);

[0032] f = 1 + X 角度 × max(0, α-αe);

[0033] g = 1 + min(0.5, );

[0034] h = 1 + X 质量 M / Me;

[0035] wherein, max(*, #) represents taking the larger one in * and #; min(*, #) represents taking the smaller one in * and #; φ represents the basic falling risk at the anchor point; Fe represents the anchor load safety threshold; f represents the attitude correction coefficient; X 角度 represents the angle influence coefficient, taking 0.03; αe represents the inclination angle safety threshold of the operating personnel; g represents the wind load correction coefficient; ρ represents the air density, taking 1.225 kg / m³; h represents the tool impact correction coefficient; Pe represents the safety wind pressure threshold; Me represents the tool weight safety threshold; X 质量 represents the quality influence coefficient, taking 0.1.

[0036] Further optimization scheme is that the construction method of the meteorological risk feature comprises:

[0037] obtaining the temperature T, the relative humidity B, the wind speed V and the pressure Tr of the aerial work point per hour;

[0038] calculating the meteorological risk feature T 气象 based on the following formula:

[0039] T 气象 =max(i, j, k);

[0040] ;

[0041] );

[0042] ;

[0043] wherein, max(*, #, %) represents taking the larger one in *, # and %; min(*, #) represents taking the smaller one in * and #; i represents the icing risk coefficient; j represents the strong wind risk coefficient; k represents the thunderstorm risk coefficient, which is related to the pressure change trend Tr; Be1 represents the first safety threshold of the meteorological relative humidity; Be2 represents the second safety threshold of the meteorological relative humidity; Be1> Be2; Te represents the temperature safety threshold; Ve represents the wind speed safety threshold; exp() represents the natural exponential operation; abs() represents the absolute value function; Tre represents the pressure drop per hour safety threshold; otherwise represents otherwise.

[0044] Further optimization scheme is that the construction method of the conduction risk feature comprises:

[0045] obtaining a distance J of an adjacent work point to a current aerial work point, a conductor tension f j , an electric field intensity E j , and a vibration acceleration a j ;

[0046] calculating a conduction risk feature T of the adjacent work point to the current aerial work point based on the following formula 传导 :

[0047] T 传导 =min(1, u / ue);

[0048] u=β1x+β2y+β3z+β4t;

[0049] β1+β2+β3+β4=1;

[0050] x=exp(-J / Je);

[0051] y=min(1, f j / f je ) x;

[0052] ;

[0053] t=2a j x;

[0054] wherein min[*,#] represents taking a smaller one of * and #; u represents a comprehensive conduction risk; ue represents a comprehensive conduction risk safety threshold; x represents a spatial attenuation risk; β1 represents a spatial attenuation risk weight; Je represents a reference attenuation distance; y represents a tension conduction risk; β2 represents a tension conduction risk weight; f je represents a conductor tension safety threshold; z represents an electric field coupling risk; β3 represents an electric field coupling risk weight; H represents an interphase distance; E je1 represents a first safety electric field intensity threshold; E je2 represents a second safety electric field intensity threshold; t represents a vibration conduction risk; β4 represents a vibration conduction risk weight; otherwise represents otherwise.

[0055] Further optimization scheme is that the composite risk feature is obtained by coupling the environmental risk feature and the conduction risk feature, including the method:

[0056] obtaining a work task type, an electrical risk feature, a mechanical risk feature, a meteorological risk feature, and a conduction risk feature of an aerial work point;

[0057] performing weighted summation on the electrical risk feature, the mechanical risk feature, the meteorological risk feature, and the conduction risk feature to obtain a comprehensive risk feature T 综合; the weights of the electrical risk feature, the mechanical risk feature, the meteorological risk feature and the conduction risk feature are configured according to the type of the work task;

[0058] a preset risk threshold; the risk threshold comprises an electrical risk feature threshold, a mechanical risk feature threshold, a meteorological risk feature threshold and a conduction risk feature threshold;

[0059] when any two of the electrical risk feature, the mechanical risk feature, the meteorological risk feature and the conduction risk feature exceed the risk threshold, the comprehensive risk feature T is amplified 综合 γT 综合 is obtained; γ>1; and the more the number of risk features exceeding the risk threshold, the greater γ is;

[0060] the composite risk feature T 复合 is obtained according to the formula T 综合 =min(1, γT 复合 ), wherein min[*,#] represents taking the smaller one of * and #.

[0061] Further optimization scheme is that the generation method of the defense strategy comprises:

[0062] a first risk feature interval, a second risk feature interval and a third risk feature interval with gradually increasing preset risk feature values;

[0063] when the composite risk feature is located in the first risk feature interval, the defense strategy is an audible and visual alarm;

[0064] when the composite risk feature is located in the second risk feature interval, the defense strategy is that a pre-locking of a fall arrestor is started and an electric field neutralizer is in standby;

[0065] when the composite risk feature is located in the third risk feature interval, the defense strategy is that a back-up rope is forced to contract to a preset safe length, emergency descent is started and a power supply of a live tool is cut off.

[0066] The scheme also provides an electric power high-altitude work defense system based on an intelligent safety belt, which is used for implementing the electric power high-altitude work defense method based on the intelligent safety belt; the system comprises:

[0067] a collection module integrated on the intelligent safety belt, which is used for collecting environment data and work data of a high-altitude work point in real time; the work data comprises work task type data and cooperative work state data;

[0068] a construction module, which is used for constructing risk features of the high-altitude work point based on the environment data and the work data; the risk features comprise environment risk features and conduction risk features; the environment risk features comprise an electrical risk feature, a mechanical risk feature and a meteorological risk feature;

[0069] A coupling module is configured to couple the environmental risk feature and the conduction risk feature to obtain a composite risk feature, and the composite risk feature considers the superimposed effects of the risk features.

[0070] A strategy generation module is configured to generate a defense strategy according to the composite risk feature for reference by a ground command center.

[0071] The scheme also provides a computer readable medium having a computer program stored thereon, and the computer program is executed by a processor to implement the intelligent safety belt-based power aerial work defense method.

[0072] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0073] 1. The intelligent safety belt-based power aerial work defense method, system and medium provided by the present application improve the method based on the traditional aerial work safety defense mechanism, construct the risk features of the aerial work point through environmental data and work data, couple the environmental risk features and the conduction risk features to obtain composite risk features, and finally generate a defense strategy based on the composite risk features for reference by a ground command center, which can effectively cope with the superimposed risks brought by strong electric fields, complex humidity and temperature environments, go beyond the scope of traditional anti-falling protection, realize real-time perception, intelligent evaluation, active early warning and dynamic protection of key environmental hazard factors, and thus help ground command personnel make quick decisions and significantly improve the intrinsic safety level of power aerial work personnel.

[0074] 2. The intelligent safety belt-based power aerial work defense method, system and medium provided by the present application consider the superimposed effects of the risk features when constructing the composite risk features, construct the linkage relationship between the risk features and the defense execution mechanism (fall arresters and backup ropes), realize intelligent defense, can prevent complex systemic risks (such as electrical + mechanical superimposed failures), and further improve the intrinsic safety level of power aerial work personnel.

[0075] 3. The intelligent safety belt-based power aerial work defense method, system and medium provided by the present application consider that the adjacent work points to the current aerial work point in power work are not simply linear distances, but the power grid topology and the risk conduction path; for example, the risk correlation of the work points of the same tension section is higher than that of the points which are linearly close but not in the same loop even if the linear distance is far; the scheme particularly focuses on the three mechanisms of mechanical waves (tension conduction), electrical fields (electric field coupling) and work disturbance (vibration conduction) when quantifying the conduction risk, and respectively sets dynamic adjustment weights to improve the accuracy of the conduction risk features. BRIEF DESCRIPTION OF DRAWINGS

[0076] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some of the embodiments of the present application, and therefore should not be considered as a limitation on the scope, and for those of ordinary skill in the art, other related drawings can also be obtained without creative labor. In the drawings:

[0077] Figure 1 A flowchart of a power aerial work defense method based on an intelligent safety belt;

[0078] Figure 2 A schematic diagram of the principle of a power aerial work defense method based on an intelligent safety belt;

[0079] Figure 3 A schematic diagram of the structure of a power aerial work defense system based on an intelligent safety belt. DETAILED DESCRIPTION

[0080] In order to make the purpose, technical solutions and advantages of the present application more clear and obvious, the following will further describe the present application in combination with the embodiments and drawings. The exemplary embodiments of the present application and their descriptions are only used to explain the present application, and should not be considered as a limitation on the present application.

[0081] The current commonly used aerial work safety defense mechanism is mainly designed to prevent physical falling, which is the core risk. Although it is effective for conventional aerial work, it has significant deficiencies in dealing with the composite environmental risks (electric field, humidity, temperature, and collaborative work) specific to power aerial work. In view of this, the present scheme provides the following embodiments to solve the above technical problems.

[0082] Embodiment 1: The present embodiment provides a power aerial work defense method based on an intelligent safety belt, as shown in Figure 1 and Figure 2 , comprising:

[0083] Step one, based on the intelligent safety belt, real-time collection of environmental data and work data of the aerial work point; the work data includes work task type data and collaborative work state data; step one specifically includes the method:

[0084] S11, based on the intelligent safety belt, real-time collection of environmental data of each aerial work point;

[0085] S12, if the current aerial work point belongs to a collaborative work task, then each work point in the collaborative work task is taken as a networking node, and a collaborative work ad hoc network communication network is constructed for collecting collaborative work state data.

[0086] Step two, constructing the risk features of the aerial work point based on the environmental data and the work data; the risk features include environmental risk features and conduction risk features; the environmental risk features include electrical risk features, mechanical risk features and meteorological risk features;

[0087] In this step, the construction method of the electrical risk features includes:

[0088] Obtaining the electric field intensity E (unit: kV / m) of the aerial work point, the relative humidity B (%), the distance L (unit: m) to the nearest live body, the nearest line circuit variable and the nearest line voltage grade, etc.

[0089] Calculating the electrical risk features T based on the following formula 电气 :

[0090] T 电气 =min(1, abcd);

[0091] a=min(1, );

[0092] b=1+X 湿度 ×min(0, B-Be);

[0093] Wherein, a represents the basic breakdown risk; its core is to calculate the ratio of the measured field intensity E and the theoretical breakdown field intensity under the current air gap (the theoretical breakdown field intensity is obtained by an empirical formula 4.5×L 0.75 Wherein, 4.5 and 0.75 are empirical coefficients under standard atmospheric conditions, which can be obtained according to IEC 61472 standard; b represents the humidity correction coefficient; Be represents the electrical relative humidity safety threshold, which is 70%; c represents the voltage grade correction coefficient, when the voltage grade is 500V, c=1.2; when the voltage grade is 220V, c=1; when the voltage grade is 110V, c=0.8; d represents the circuit variable correction coefficient, when the nearest line is an alternating variable, d=1; when the nearest line is a direct current variable, d=1.2; when the nearest line is a lightning overvoltage variable, d=1.5. For example, when performing 500kV live work (cleaning), the electric field intensity E=18kV / m; the relative humidity B=65%; the distance L to the nearest live body=3.2m; the electrical risk features T 电气 =0.62; X 湿度 represents the humidity influence coefficient, which is 0.02;

[0094] In this scheme, min(1,...) is to normalize the output, ensure that each risk index or risk feature has a clear physical meaning (the probability of an accident occurring) and a stable value range [0, 1], so as to provide clear and reliable decision basis for the system. The electrical risk features T 电气The probability of air insulation breakdown (discharge) of the work point is quantified, and the basic breakdown risk needs to be corrected by environmental factors to obtain the final electrical risk characteristics, including humidity (humidity correction coefficient), voltage level (voltage level correction coefficient), and circuit variable (circuit variable correction coefficient);

[0095] The construction method of the mechanical risk characteristics comprises:

[0096] The anchor point load F (unit: kN) of the high-altitude work point, the inclination angle a of the work personnel, the wind speed V (unit: m / s), and the tool weight M (unit: kg) carried by the work personnel are obtained;

[0097] The mechanical risk characteristics T are calculated based on the following formula 力学 :

[0098] T 力学 = min(1, φfgh);

[0099] φ = min(1, F / Fe);

[0100] f = 1 + X 角度 × max(0, a-a e);

[0101] g = 1 + min(0.5, );

[0102] h = 1 + X 质量 M / Me;

[0103] Wherein, φ represents the basic falling risk at the anchor point, which is the ratio of the anchor point real-time load to the safety threshold; Fe represents the anchor point load safety threshold, which is 15 kN; f represents the posture correction coefficient, which is obtained according to the increase of falling potential energy and uncertainty caused by body inclination; a e represents the work personnel inclination angle safety threshold, which is 15°; g represents the wind load correction coefficient, the wind pressure is proportional to the square of the wind speed, and the force generated thereby increases the load and instability; p represents the air density, which is 1.225 kg / m³; h represents the tool impact correction coefficient, the tool weight will produce impact effect when falling; Pe represents the safety wind pressure threshold, which is 500 Pa; Me represents the tool weight safety threshold, which is 5 kg; X 质量 represents the quality influence coefficient, which is 0.1.

[0104] The mechanical risk characteristics T 力学 quantify the probability of falling or structural failure, and the basic falling risk is corrected by the posture (posture correction coefficient), wind load (wind load correction coefficient), and tool impact (tool impact correction coefficient).

[0105] The standard air density is taken as 1.225 kg / m³, based on Bernoulli equation, the kinetic energy of flowing air is converted into the static pressure on the surface of the object, in engineering applications, the constant is combined to obtain the wind pressure formula in the standard environment .

[0106] The construction method of the meteorological risk feature includes:

[0107] Obtaining the temperature T (unit: °C), relative humidity B, wind speed V (unit: m / s) and pressure drop Tr (unit: kPa / h) of the high-altitude operation point per hour;

[0108] The meteorological risk feature T is calculated based on the following formula 气象 :

[0109] T 气象 =max(i, j, k);

[0110] ;

[0111] );

[0112] ;

[0113] Wherein, max(*, #, %) represents taking the larger one among *, # and %; min(*, #) represents taking the smaller one among * and #; i represents the icing risk coefficient; j represents the strong wind risk coefficient; k represents the thunderstorm risk coefficient, which is related to the pressure change trend Tr; Be1 represents the first safety threshold of meteorological relative humidity, which is taken as 100%; Be2 represents the second safety threshold of meteorological relative humidity, which is taken as 80%; Be1> Be2; Te represents the temperature safety threshold, which is taken as 5°; Ve represents the wind speed safety threshold, which is taken as 15 m / s; exp() represents natural exponential operation; abs() represents absolute value function; Tre represents the pressure drop safety threshold per hour, which is taken as 0.5 kPa; otherwise represents otherwise. The meteorological risk feature T 气象 Quantifies the probability of accidents directly caused by severe weather conditions, and takes the maximum value among various meteorological risks.

[0114] The core of the electrical risk feature is the sudden change of electric field strength and the air gap breakdown probability; the mechanical risk feature mainly focuses on the anchor point stress and the falling dynamics; the meteorological risk feature considers the coupling effect of wind load and icing; specifically, the electrical risk feature obtained by the scheme includes: 1) establishing a three-dimensional relationship model of field strength-distance-humidity 2) Quantify the influence factor of insulation defects, introduce the air gap formula of IEC 61472 standard as the basis, and superimpose the correction coefficient of real-time field strength monitoring.

[0115] The mechanical risk feature is the most complex, which needs to integrate static load (such as tool weight) and dynamic load (such as wind vibration); the anchor point sensor can only reflect part of the force, and the human body posture needs to be calculated through the IMU data to reflect the amplification effect of the load; the scheme is based on the load spectrum analysis method of the crane safety system to analyze the mechanical risk feature.

[0116] The meteorological risk feature is relatively mature, but the particularity of electric power operation is to distinguish the different effects of "average wind speed" and "gust". The calculation of icing risk coefficient needs to introduce a thermodynamic model to consider the real-time interaction of conductor temperature, environmental temperature and humidity, and wind speed.

[0117] The construction method of the conduction risk feature includes:

[0118] Obtaining the distance J between the current aerial work point and the adjacent work point, the conductor tension f j , the electric field intensity E j , and the vibration acceleration a j ;

[0119] The conduction risk feature T of the adjacent work point to the current aerial work point is calculated based on the following formula: 传导 :

[0120] T 传导 =min(1,u / ue);

[0121] u=β1x+β2y+β3z+β4t;

[0122] β1+β2+β3+β4=1;

[0123] x=exp(-J / Je);

[0124] y=min(1,f j / f je ) x;

[0125] ;

[0126] t=2a j x;

[0127] Wherein, min[*,#] represents the smaller one in * and #; u represents the comprehensive conduction risk; ue represents the comprehensive conduction risk safety threshold; x represents the spatial attenuation risk; β1 represents the spatial attenuation risk weight; Je represents the reference attenuation distance; y represents the tension conduction risk; β2 represents the tension conduction risk weight; f je represents the conductor tension safety threshold; z represents the electric field coupling risk; β3 represents the electric field coupling risk weight; H represents the interphase distance; E je1 represents the first safety electric field intensity threshold; E je2represents a second electric field strength threshold value; t represents a vibration conduction risk; β4 represents a vibration conduction risk weight; otherwise represents otherwise.

[0128] In power operation, the operation points adjacent to the current high-altitude operation point are not simply linear distances, but the power grid topology and risk conduction paths are considered; for example, the operation points of the same tension section have higher risk correlation than the points that are linearly close but not in the same loop; therefore, the scheme particularly focuses on three mechanisms of mechanical waves (tension conduction), electric fields (electric field coupling), and operation disturbance (vibration conduction) when quantifying the conduction risk, and sets dynamic adjustment weights to improve the accuracy of the conduction risk characteristics.

[0129] Step three, coupling the environmental risk characteristics and the conduction risk characteristics to obtain composite risk characteristics; the composite risk characteristics consider the superposition effect of the risk characteristics; this step specifically includes the following steps:

[0130] S31, obtaining the operation task type, the electric risk characteristics, the mechanical risk characteristics, the meteorological risk characteristics, and the conduction risk characteristics of the high-altitude operation point;

[0131] S32, performing weighted summation on the electric risk characteristics, the mechanical risk characteristics, the meteorological risk characteristics, and the conduction risk characteristics to obtain a comprehensive risk characteristic T 综合 ; configuring the weights of the electric risk characteristics, the mechanical risk characteristics, the meteorological risk characteristics, and the conduction risk characteristics according to the operation task type;

[0132] S33, presetting a risk threshold; the risk threshold includes an electric risk characteristic threshold, a mechanical risk characteristic threshold, a meteorological risk characteristic threshold, and a conduction risk characteristic threshold;

[0133] S34, when any two values in the electric risk characteristics, the mechanical risk characteristics, the meteorological risk characteristics, and the conduction risk characteristics exceed the risk threshold, amplifying the comprehensive risk characteristic T 综合 to obtain γT 综合 ; γ>1; and the more the number of risk characteristics exceeding the risk threshold, the greater γ is;

[0134] S35, obtaining a composite risk characteristic T 复合 according to the formula T 综合 =min(1, γT 复合 ).

[0135] Step four, generating a defense strategy according to the composite risk characteristics for the ground command center to refer to.

[0136] In the step, the generation method of the defense strategy includes:

[0137] The first risk characteristic interval, the second risk characteristic interval and the third risk characteristic interval gradually increase in preset risk characteristic values;

[0138] When the composite risk characteristic is located in the first risk characteristic interval, an audible and visual alarm is used as a defense strategy.

[0139] When the composite risk characteristic is located in the second risk characteristic interval, pre-locking of a fall arrestor and standby of an electric field neutralizer are used as a defense strategy.

[0140] When the composite risk characteristic is located in the third risk characteristic interval, forced contraction of a back-up rope to a preset safe length, starting of emergency descent and cutting off of a power supply of a live tool are used as a defense strategy.

[0141] For example, in the embodiment, the first risk characteristic interval is [0, 0.4), corresponding to a first level of response, and an audible and visual alarm is used as a defense strategy; the second risk characteristic interval is [0.4, 0.7), corresponding to a second level of response, and pre-locking of a fall arrestor and standby of an electric field neutralizer are used as a defense strategy; and the third risk characteristic interval is greater than or equal to 0.7, corresponding to a third level of response, and forced contraction of a back-up rope to a preset safe length, starting of emergency descent and cutting off of a power supply of a live tool are used as a defense strategy.

[0142] Embodiment 2

[0143] The embodiment provides an intelligent safety belt-based power high-altitude work defense system, as shown in Figure 3 which is used to implement the intelligent safety belt-based power high-altitude work defense method described in Embodiment 1; the system comprises:

[0144] A collection module integrated on the intelligent safety belt and a main control box carried by a worker (the main control box communicates with the corresponding intelligent safety belt) is used to collect environmental data and work data of a high-altitude work point in real time; the work data comprises work task type data and cooperative work state data; specifically, a three-dimensional ultrasonic anemometer is symmetrically installed on both sides of the waist belt to measure the wind speed of the high-altitude work point; a three-axis magnetoresistance sensor is installed inside the main control box to detect the electric field intensity; an air pressure sensor array is arranged on the shoulder strap of the intelligent safety belt to monitor the air pressure; a digital temperature and humidity composite sensor is arranged inside the chest buckle pressure buffer layer to monitor the environmental temperature and humidity; the collection module further comprises a monitoring device on the intelligent helmet, which cooperates with the monitoring device on the safety belt to obtain the inclination angle of the worker.

[0145] A construction module is used to construct a risk characteristic of the high-altitude work point based on the environmental data and the work data; the risk characteristic comprises an environmental risk characteristic and a conduction risk characteristic; the environmental risk characteristic comprises an electrical risk characteristic, a mechanical risk characteristic and a meteorological risk characteristic.

[0146] a coupling module, configured to couple the environmental risk feature and the conduction risk feature to obtain a composite risk feature; the composite risk feature considers the superimposed effects of the risk features;

[0147] a strategy generation module, configured to generate a defense strategy according to the composite risk feature for reference by a ground command center.

[0148] In the scheme, the intelligent safety belt can communicate with the master control box carried by the worker. In the process of constructing the cooperative work ad hoc network, the communication link can be adaptively updated. If a new networking node is added in the working range, it can also be used as a temporary backup link, such as a drone or temporarily added worker equipment.

[0149] If the current aerial work point belongs to a cooperative work task, each work point in the cooperative work task is taken as a networking node to construct a cooperative work ad hoc network communication network for collecting cooperative work state data.

[0150] Embodiment 3

[0151] The embodiment provides a computer readable medium having a computer program stored thereon, and the computer program can be executed by a processor to implement the intelligent safety belt-based power aerial work defense method of embodiment 1; the following steps are specifically executed:

[0152] Step 1: Real-time collection of environmental data and work data of the aerial work point based on the intelligent safety belt; the work data includes work task type data and cooperative work state data;

[0153] Step 2: Construction of risk features of the aerial work point based on the environmental data and the work data; the risk features include environmental risk features and conduction risk features; the environmental risk features include electrical risk features, mechanical risk features and meteorological risk features;

[0154] Step 3: Coupling of the environmental risk features and the conduction risk features to obtain a composite risk feature; the composite risk feature considers the superimposed effects of the risk features;

[0155] Step 4: Generation of a defense strategy according to the composite risk feature for reference by a ground command center.

[0156] The embodiment based on the above method carries out 500kV live repair, 220kV storm repair and ±800kV high-altitude work test in an extra-high voltage test field, and the calculated data is shown in Table 1:

[0157] Table 1 Extra-high voltage test results

[0158]

[0159] The average early warning success rate of the traditional method is only 68% in the same scene.

[0160] The above detailed description of the specific embodiments further explains the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above description is only a specific embodiment of the present application and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A power aerial work defense method based on an intelligent safety belt, characterized in that, The method comprises the following steps: Real-time collection of environment data and work data of the aerial work point based on the intelligent safety belt; the work data comprises work task type data and collaborative work state data; Construction of risk features of the aerial work point based on the environment data and the work data; the risk features comprise environment risk features and conduction risk features; The environment risk features comprise electrical risk features, mechanical risk features, and meteorological risk features; The construction method of the electrical risk features comprises the following steps: Obtaining the electric field intensity E, relative humidity B, distance L from the nearest charged body, nearest line circuit variable, and nearest line voltage grade of the aerial work point; The electrical risk feature T is calculated based on the following formula 电气 : T 电气 = min(1, abcd); a = min(l, ) ; b = 1 + X 湿度 min(0, B - Be); Wherein, min(*, #) represents taking the smaller one in * and #; a represents the basic breakdown risk; b represents the humidity correction coefficient; X 湿度 Wherein, Be represents the electrical relative humidity safety threshold; c represents the voltage grade correction coefficient, when the voltage grade is 500V, c = 1.2; when the voltage grade is 220V, c = 1; when the voltage grade is 110V, c = 0.8; d represents the circuit variable correction coefficient, when the nearest line is an alternating variable, d = 1; when the nearest line is a direct current variable, d = 1.2; when the nearest line is a lightning overvoltage variable, d = 1.5; The construction method of the mechanical risk features comprises the following steps: Obtaining the anchor point load F, work personnel inclination angle α, wind speed V, and tool weight M carried by the work personnel of the aerial work point; The mechanical risk feature T is calculated on the basis of the following formula 力学 : T 力学 = min(1, φfgh); The construction method of the meteorological risk features comprises the following steps: f = 1 + X 角度 max(0, a - ae); g = 1 + min(0.5, ); h = 1 + X 质量 M / Me; Wherein, max(*, #) represents taking the larger one in * and #; min(*, #) represents taking the smaller one in * and #; φ represents the basic falling risk at the anchor point; Fe represents the anchor point load safety threshold; f represents the attitude correction coefficient; X 角度 represents the angle influence coefficient, taking 0.03; αe represents the inclination angle safety threshold of the worker; g represents the wind load correction coefficient; ρ represents the air density; h represents the tool impact correction coefficient; Pe represents the safety wind pressure threshold; Me represents the tool weight safety threshold; X 质量 represents the quality influence coefficient, taking 0.1; Obtaining the temperature T, relative humidity B, wind speed V, and pressure drop Tr per hour of the aerial work point; Wherein, min[*,#] represents taking the smaller one of * and #; max(*,#,%) represents taking the larger one of *, #, and %; i represents an icing risk coefficient; j represents a strong wind risk coefficient; k represents a thunderstorm risk coefficient, which is related to the pressure change trend Tr; Be1 represents a first safety threshold of meteorological relative humidity; Be2 represents a second safety threshold of meteorological relative humidity; Be1>Be2; Te represents a temperature safety threshold; Ve represents a wind speed safety threshold; exp() represents a natural exponential operation; abs() represents an absolute value function; Tre represents a pressure drop safety threshold per hour; otherwise represents otherwise; The weather risk feature T is calculated based on the following formula 气象 : T 气象 = max(i, j, k); ； ) ； ； The construction method of the conduction risk features comprises the following steps: u=β1x+β2y+β3z+β4t; acquire the distance J of the adjacent work point of the current aerial work point, the conductor tension f j , the electric field intensity E j and the vibration acceleration a j ; The transmission risk characteristic T of the adjacent work point to the current aerial work point is calculated based on the following formula 传导 : T 传导 = min(1, u / ue); x=exp(-J / Je); β1+β2+β3+β4=1； Coupling the environment risk features and the conduction risk features to obtain a composite risk feature; the composite risk feature considers the superposition effect of the risk features; y = min(1, f j / f je ) x; ； t = 2a j x; where min[*,#] denotes the smaller of * and #; u denotes the overall conduction risk; ue denotes the overall conduction risk safety threshold; x denotes the spatial attenuation risk; β1 denotes the spatial attenuation risk weight; Je denotes the baseline attenuation distance; y denotes the tension conduction risk; β2 denotes the tension conduction risk weight; f je denotes the wire tension safety threshold; z denotes the electric field coupling risk; β3 denotes the electric field coupling risk weight; H denotes the interphase distance; E je1 denotes the first safety electric field strength threshold; E je2 denotes the second safety electric field strength threshold; t denotes the vibration conduction risk; β4 denotes the vibration conduction risk weight; otherwise denotes otherwise. Generating a defense strategy for the ground command center to refer to according to the composite risk feature. The method comprises the following steps:

2. The smart seatbelt-based electrical aerial defense method of claim 1, wherein, Real-time collection of environment data of each aerial work point based on the intelligent safety belt; If the work of the current aerial work point belongs to a collaborative work task, taking each work point in the collaborative work task as a networking node, constructing a collaborative work ad hoc network communication network for collecting collaborative work state data. The method for coupling the environment risk features and the conduction risk features to obtain a composite risk feature comprises the following steps: Obtaining the work task type, electrical risk features, mechanical risk features, meteorological risk features, and conduction risk features of the aerial work point; 3. The smart seatbelt-based electrical aerial defense method of claim 1, wherein, Configuring the weights of the electrical risk features, mechanical risk features, meteorological risk features, and conduction risk features according to the work task type; Predefining a risk threshold; The electrical risk feature, the mechanical risk feature, the meteorological risk feature and the conduction risk feature are weighted and summed to obtain a comprehensive risk feature T 综合 ; The risk threshold comprises an electrical risk feature threshold, a mechanical risk feature threshold, a meteorological risk feature threshold, and a conduction risk feature threshold; The method for generating the defense strategy comprises the following steps: ​ When any two of the electrical risk feature, the mechanical risk feature, the meteorological risk feature and the conduction risk feature exceed the risk threshold value, the comprehensive risk feature T is amplified 综合 γT is obtained 综合 ; γ > 1; and the more the number of risk features exceeding the risk threshold value, the greater γ is; According to the formula T 复合 = min(1, γT 综合 ) to obtain a composite risk feature T 复合 , where min[*,#] represents taking the smaller of * and #.

4. The smart seatbelt-based electrical aerial defense method of claim 3, wherein, ​ The first risk characteristic interval, the second risk characteristic interval and the third risk characteristic interval have gradually increasing preset risk characteristic values; When the composite risk characteristic is located in the first risk characteristic interval, the defense strategy is acousto-optic alarm; When the composite risk characteristic is located in the second risk characteristic interval, the defense strategy is that the anti-falling device starts pre-locking and the electric field neutralizer is in standby; When the composite risk characteristic is located in the third risk characteristic interval, the defense strategy is that the back-up rope is forced to contract to a preset safe length, emergency descent is started and the power supply of the live tool is cut off.

5. A power aerial work defense system based on an intelligent safety belt, characterized by, The system for implementing the power high-altitude operation defense method based on the intelligent safety belt according to any one of claims 1-4; the system comprises: A collection module integrated on the intelligent safety belt, configured to collect environmental data and operation data of a high-altitude operation point in real time; the operation data comprises operation task type data and cooperative operation state data; A construction module configured to construct risk characteristics of the high-altitude operation point based on the environmental data and the operation data; the risk characteristics comprise environmental risk characteristics and conduction risk characteristics; the environmental risk characteristics comprise electrical risk characteristics, mechanical risk characteristics and meteorological risk characteristics; A coupling module configured to couple the environmental risk characteristics and the conduction risk characteristics to obtain composite risk characteristics; the composite risk characteristics consider the superimposed effects of the risk characteristics; A strategy generation module configured to generate a defense strategy according to the composite risk characteristics for reference by a ground command center.

6. A computer readable medium having stored thereon a computer program, characterized in that The computer program is executed by a processor to implement the power high-altitude operation defense method based on the intelligent safety belt according to any one of claims 1-4.

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