Electric power high-altitude operation defense method and system based on intelligent safety belt and medium

Abstract

The invention discloses an electric 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. According to the scheme, the risk characteristics of the high-altitude operation point are constructed through the environment data and the operation data, the environment risk characteristics and the conduction risk characteristics are coupled to obtain the composite risk characteristics, and finally the defense strategy is generated based on the composite risk characteristics for reference of the ground command center, so that superposed risks caused by a strong electric field and a complex humidity and temperature environment can be effectively dealt with; compared with the traditional anti-falling protection, the anti-falling protection system has the advantages that real-time sensing, intelligent evaluation, active early warning and dynamic protection of key environmental hazard factors are realized, so that ground commanders are helped to quickly make decisions, and the intrinsic safety level of electric power overhead working personnel is remarkably improved.

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: The current commonly 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: Inadequate 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.

[0004] 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.

[0005] 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.

[0006] Disconnection between protective measures and 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.

[0007] Therefore, there is an urgent need for a safety defense mechanism specially designed for the characteristics of power aerial work scenarios. SUMMARY

[0008] 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.

[0009] The present application is implemented by the following technical solutions: The present application provides a power aerial work defense method based on an intelligent safety belt, comprising: Real-time collection of environmental data and work data at the aerial work point based on the intelligent safety belt; the work data includes work task type data and collaborative work state data; Construction of risk features of the aerial work point based on environmental data and 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; Coupling of the environmental risk features and the conduction risk features to obtain composite risk features; the composite risk features take into account the superimposed effects of risk features; Generation of a defense strategy based on the composite risk features for reference by the ground command center.

[0010] Further optimization scheme is that the real-time collection of environmental data and work data at the aerial work point based on the intelligent safety belt comprises the following methods: Real-time collection of environmental data at each aerial work point based on the intelligent safety belt; 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 to construct a collaborative work ad hoc network communication network for collecting collaborative work state data.

[0011] Further optimization scheme is that the construction method of the electrical risk feature comprises: Obtaining the electric field intensity E, relative humidity B, distance L from the nearest live body, nearest line circuit variable, and nearest line voltage grade of the aerial work point; Calculating the electrical risk feature T based on the following formula 电气 : T 电气 = min(1, abcd); a = min(1, ); 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 represents the humidity influence coefficient, taking 0.02; Be represents the electrical relative humidity safety threshold; c represents the voltage grade correction coefficient, c = 1.2 when the voltage grade is 500V, c = 1 when the voltage grade is 220V, and c = 0.8 when the voltage grade 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.

[0012] Further optimization scheme is that the construction method of the mechanical risk feature comprises: 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; Calculating the mechanical risk feature T based on the following formula 力学 : T 力学 = min(1, φfgh); φ = min(1, F / Fe); f = 1 + X 角度 × max(0, α-αe); 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 posture correction coefficient; X 角度represents an angle influence coefficient, taking 0.03; represents an inclination angle safety threshold of an operating personnel; g represents a wind load correction coefficient; represents an air density, taking 1.225 kg / m3; h represents a tool impact correction coefficient; Pe represents a safety wind pressure threshold; Me represents a tool weight safety threshold; X 质量 represents a quality influence coefficient, taking 0.1.

[0013] Further optimization scheme is that the construction method of the meteorological risk feature comprises: obtaining temperature T, relative humidity B, wind speed V and pressure drop Tr per hour of the aerial work point; calculating the meteorological risk feature T 气象 based on the following formula: T 气象 =max(i, j, k) ; ; ; ; Wherein, max(*, #, %) represents taking the larger one among *, # and %; min(*, #) represents taking the smaller one among * and #; i represents an icing risk coefficient; j represents a strong wind risk coefficient; k represents a thunderstorm risk coefficient, which is related to 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 natural exponential operation; abs() represents absolute value function; Tre represents a pressure drop safety threshold per hour; otherwise represents otherwise.

[0014] Further optimization scheme is that the construction method of the conduction risk feature comprises: obtaining distance J of adjacent work points from the current aerial work point, conductor tension f j , electric field intensity E j and vibration acceleration a j ; calculating the conduction risk feature T 传导 of the adjacent work points to the current aerial work point based on the following formula: T 传导 =min(1, u / ue) ; u=β1x+β2y+β3z+β4t; β1+β2+β3+β4=1; x=exp(-J / Je) ; y=min(1, f j / f je ) x; ; t=2a j x; wherein, min[*,#] represents taking the smaller one of * 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 wire 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 je2 represents the second safety electric field intensity threshold; t represents the vibration conduction risk; β4 represents the vibration conduction risk weight; otherwise represents otherwise.

[0015] 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: obtaining the work task type, the electrical risk feature, the mechanical risk feature, the meteorological risk feature and the conduction risk feature of the aerial work point; 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 ; configuring the weights of the electrical risk feature, the mechanical risk feature, the meteorological risk feature and the conduction risk feature according to the work task type; presetting a risk threshold; the risk threshold includes an electrical risk feature threshold, a mechanical risk feature threshold, a meteorological risk feature threshold and a conduction risk feature threshold; 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 综合 is amplified to obtain γT 综合 ; γ>1; and the more the number of risk features exceeding the risk threshold, the greater γ is; obtaining a composite risk feature T 复合 according to the formula T 综合 =min(1, γT 复合 ), wherein, min[*,#] represents taking the smaller one of * and #.

[0016] Further optimization scheme is that the generation method of the defense strategy includes: presetting a first risk feature interval, a second risk feature interval and a third risk feature interval with gradually increasing risk feature values; when the composite risk feature is located in the first risk feature interval, taking the audible and visual alarm as the defense strategy; When the composite risk characteristic is in the second risk characteristic interval, the defense strategy is to start the pre-locking of the fall arrester and put the electric field neutralizer on standby; When the composite risk characteristic is in the third risk characteristic interval, the defense strategy is to forcibly retract the backup rope to the preset safety length, initiate emergency descent, and cut off the power supply of live tools.

[0017] This solution also provides a power high-altitude operation defense system based on an intelligent safety belt, which is used to implement the above-mentioned power high-altitude operation defense method based on an intelligent safety belt; the system includes: The acquisition module is integrated into the intelligent safety belt and is used to collect environmental data and operation data of the high-altitude operation point in real time; the operation data includes operation task type data and collaborative operation status data; A construction module is used to construct risk characteristics of high-altitude work sites based on environmental data and work data; the risk characteristics include environmental risk characteristics and conductive risk characteristics; the environmental risk characteristics include electrical risk characteristics, mechanical risk characteristics, and meteorological risk characteristics; A coupling module, configured to couple the environmental risk feature and the conductive risk feature to obtain a composite risk feature; the composite risk feature takes into account the superposition effect of the risk features; A strategy generation module is used to generate a defense strategy based on the composite risk characteristics for reference by the ground command center.

[0018] This solution also provides a computer-readable medium on which a computer program is stored. The computer program is executed by a processor to implement the above-mentioned power high-altitude operation defense method based on the smart safety belt.

[0019] Compared with the prior art, the present invention has the following advantages and beneficial effects: 1. The present invention provides a method, system and medium for defending against high-altitude power operations based on smart safety belts. Based on the traditional high-altitude work safety defense mechanism, the method is improved, and the risk characteristics of the high-altitude work point are constructed through environmental data and work data. The environmental risk characteristics and the conductive risk characteristics are coupled to obtain a composite risk characteristic. Finally, a defense strategy is generated based on the composite risk characteristic for reference by the ground command center. It can effectively deal with the superimposed risks brought by strong electric fields and complex humidity and temperature environments, surpassing the scope of traditional fall protection, and realizing real-time perception, intelligent evaluation, active warning and dynamic protection of key environmental hazard factors, thereby helping ground command personnel to make quick decisions and significantly improving the inherent safety level of personnel performing high-altitude power operations.

[0020] 2.The power high-altitude operation defense method, system and medium based on the intelligent safety belt provided by the application; when constructing a composite risk feature, the superimposed influence of the risk feature is considered, the linkage relationship between the risk feature and the defense execution mechanism (a fall arrestor and a backup rope) is constructed, intelligent defense is realized, composite systemic risks (such as electrical + mechanical superimposed failures) can be prevented, and the essential safety level of power high-altitude operation personnel is further improved.

[0021] 3.The power high-altitude operation defense method, system and medium based on the intelligent safety belt provided by the application, in which, for 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 transmission paths are considered; for example, the risk correlation of the operation points in the same tension section is higher than that of the points in the same loop even if the linear distance is far; the scheme particularly focuses on three mechanisms, i.e., mechanical waves (tension transmission), electrical fields (electric field coupling) and operation disturbance (vibration transmission), when quantifying the transmission risk, and respectively sets dynamic adjustment weights to improve the accuracy of the transmission risk feature. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the example embodiments of the 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 embodiments of the application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor. In the drawings: Figure 1 It is a flowchart of the power high-altitude operation defense method based on the intelligent safety belt. Figure 2 It is a schematic diagram of the principle of the power high-altitude operation defense method based on the intelligent safety belt. Figure 3 It is a structural schematic diagram of the power high-altitude operation defense system based on the intelligent safety belt. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solutions and advantages of the application more clear and obvious, the following will further describe the application in combination with the embodiments and drawings. The example embodiments of the application and the descriptions thereof are only used to explain the application, and should not be regarded as a limitation on the application.

[0024] The currently widely used high-altitude operation safety defense mechanism is mainly designed to prevent the core risk of physical falling. Although it is effective for conventional high-altitude operation, it has significant deficiencies in dealing with the composite environmental risks (electric field, humidity, temperature, and collaborative operation) specific to power high-altitude operation. In view of this, the following embodiments are provided to solve the above technical problems.

[0025] Embodiment 1: This embodiment provides a smart safety belt based power aerial work defense method, as shown in Figure 1 and Figure 2 , comprising: Step 1: Real-time collection of environment data and work data of aerial work points based on smart safety belts; the work data includes work task type data and collaborative work state data; Step 1 specifically includes the following method: S11, real-time collection of environment data of each aerial work point based on smart safety belts; 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.

[0026] Step 2: Construction of risk features of aerial work points based on environment data and work data; the risk features include environment risk features and conduction risk features; the environment risk features include electrical risk features, mechanical risk features, and meteorological risk features; In this step, the construction method of electrical risk features includes: Obtain the electric field strength E (unit kV / m) of the aerial work point, the relative humidity B (%), the distance L (unit m) to the nearest charged body, the nearest line circuit variable, and the nearest line voltage level, etc. Calculate the electrical risk feature T based on the following formula 电气 : T 电气 =min(1,abcd) ; a=min(1, ) ; b=1+X 湿度 ×min(0,B-Be); Wherein, a represents the basic breakdown risk; its core is to calculate the measured field strength E and the theoretical breakdown field strength under the current air gap (the theoretical breakdown field strength is obtained by an empirical formula 4.5×L 0.75Wherein, 4.5 and 0.75 are the ratio of the empirical coefficients under standard atmospheric conditions, which can be found according to the 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 working (cleaning), the electric field strength E=18kV / m; the relative humidity B=65%; the distance L=3.2m from the nearest live body; the electrical risk characteristic T 电气 =0.62; X 湿度 represents the humidity influence coefficient, which is 0.02; In this scheme, min(1,...) is to normalize the output, ensure that each risk index or risk characteristic has a clear physical meaning (probability of accident occurrence) and a stable value range [0, 1], so as to provide clear and reliable decision basis for the system. The electrical risk characteristic T 电气 quantifies the probability of air insulation breakdown (discharge) at the working point, and the basic breakdown risk needs to be corrected by environmental factors to obtain the final electrical risk characteristic, including humidity (humidity correction coefficient), voltage grade (voltage grade correction coefficient), circuit variable (circuit variable correction coefficient); The construction method of the mechanical risk characteristic includes: Obtaining the anchor point load F (unit: kN) of the high-altitude working point, the inclination angle α of the working personnel, the wind speed V (unit: m / s), and the tool weight M (unit: kg) carried by the working personnel; The mechanical risk characteristic T 力学 is calculated based on the following formula: T 力学 = min(1, φfgh) ; φ= min(1, F / Fe) ; f=1+X 角度 ×max(0, α-αe); g=1+min(0.5, ); h=1+X 质量 M / Me; wherein φ represents the basic falling risk at the anchor point, which is the ratio of the real-time load of the anchor point to the safety threshold; Fe represents the anchor load safety threshold, which is 15 kN; f represents the posture correction coefficient, which is obtained according to the body inclination to increase the falling potential energy and uncertainty; αe represents the inclination angle safety threshold of the operating personnel, which is 15°; g represents the wind load correction coefficient, which is proportional to the square of the wind speed, and the force generated thereby increases the load and instability; ρ represents the air density, which is 1.225 kg / m³; h represents the tool impact correction coefficient, which is the impact effect of the tool weight during 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 mass influence coefficient, which is 0.1.

[0027] Mechanical risk feature T 力学 quantifies 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).

[0028] The standard air density is 1.225 kg / m³, and based on the Bernoulli equation, the kinetic energy of flowing air is converted into the static pressure on the surface of the object, and in engineering applications, the constant is combined to obtain the wind pressure formula in the standard environment .

[0029] The construction method of the meteorological risk feature includes: obtaining the temperature T (unit: °C), relative humidity B, wind speed V (unit: m / s) and air pressure decrease Tr (unit: kPa / h) of the overhead working point per hour; calculating the meteorological risk feature T 气象 based on the following formula: T 气象 =max(i,j,k) ; ; ) ; ; 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 meteorological relative humidity first safety threshold, which is 100%; Be2 represents the meteorological relative humidity second safety threshold, which is 80%; Be1> Be2; Te represents the temperature safety threshold, which is 5°; Ve represents the wind speed safety threshold, which is 15 m / s; exp() represents the natural exponential operation; abs() represents the absolute value function; Tre represents the pressure drop per hour safety threshold, which is 0.5 kPa; otherwise represents otherwise. Meteorological risk characteristics T 气象 The probability of accidents directly caused by severe weather conditions is quantified, and the maximum value among various meteorological risks is taken.

[0030] The core of the electrical risk characteristics is the air gap breakdown probability of the electric field strength mutation and the mechanical risk characteristics mainly focuses on the anchor point stress and the falling dynamics; the meteorological risk characteristics consider the coupling effect of wind load and icing; the specific scheme for obtaining the electrical risk characteristics includes: 1) Establish a three-dimensional relationship model of field strength-distance-humidity 2) Quantify the influence factor of insulation defects, and introduce the air gap formula of IEC 61472 standard as the basis, and then superimpose the correction coefficient of real-time field strength monitoring.

[0031] The mechanical risk characteristics are the most complex, which need 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 amplification effect of human body posture on load needs to be calculated through IMU data; the scheme analyzes the mechanical risk characteristics based on the load spectrum analysis method of the crane safety system.

[0032] The meteorological risk characteristics are relatively mature, but the particularity of electric power operation lies in the differentiation of the different influences of "average wind speed" and "gust". The calculation of the 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.

[0033] The construction method of the conduction risk characteristics includes: Obtaining the distance J between the current aerial work point and the adjacent work point, the conductor tension f j , the electric field strength E j and the vibration acceleration a j ; The conduction risk characteristics T 传导 of the adjacent work point to the current aerial work point are calculated based on the following formula: T 传导 =min(1, u / ue); u=β1x+β2y+β3z+β4t; β1+β2+β3+β4=1; x=exp(-J / Je); y=min(1,f j / f je ) x; ; t=2a j x; 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 je2 represents the second safety electric field intensity threshold; t represents the vibration conduction risk; β4 represents the vibration conduction risk weight; otherwise represents otherwise.

[0034] The working point adjacent to the current high-altitude working point in power operation is not simply the straight-line distance, but the power grid topology and the risk conduction path are considered; For example, the working points of the same tension section have higher risk correlation than the points that are close in straight line but not in the same loop; Therefore, the scheme particularly focuses on three mechanisms of mechanical wave (tension conduction), electric field (electric field coupling) and operation disturbance (vibration conduction) when quantifying the conduction risk, and respectively sets dynamic adjustment weight to improve the accuracy of the conduction risk characteristics.

[0035] 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: S31, obtaining the working task type, the electrical risk characteristics, the mechanical risk characteristics, the meteorological risk characteristics and the conduction risk characteristics of the high-altitude working point; S32, weighted sum of the electrical risk characteristics, the mechanical risk characteristics, the meteorological risk characteristics and the conduction risk characteristics to obtain the comprehensive risk characteristics T 综合 ; according to the working task type, the weights of the electrical risk characteristics, the mechanical risk characteristics, the meteorological risk characteristics and the conduction risk characteristics are configured; S33, presetting a risk threshold; the risk threshold includes: an electrical risk characteristic threshold, a mechanical risk characteristic threshold, a meteorological risk characteristic threshold and a conduction risk characteristic threshold; S34, 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 is obtained 综合 ; γ>1; and the more the number of risk features exceeding the risk threshold, the greater γ is; S35, according to the formula T 复合 = min(1, γT 综合 ) to obtain the composite risk feature T 复合 .

[0036] Step four, generating a defense strategy according to the composite risk feature for the ground command center to reference.

[0037] In the step, the generation method of the defense strategy includes: a first risk feature interval, a second risk feature interval and a third risk feature interval with gradually increasing risk feature values; When the composite risk feature is located in the first risk feature interval, the audible and visual alarm is used as the defense strategy; When the composite risk feature is located in the second risk feature interval, the pre-locking of the anti-falling device and the standby of the electric field neutralizer are used as the defense strategy; When the composite risk feature is located in the third risk feature interval, the forced contraction of the back-up rope to a preset safe length, the start of emergency descent and the cutting off of the power supply of the live tool are used as the defense strategy.

[0038] For example, in the present embodiment, the first risk feature interval is set to [0, 0.4), corresponding to the first level of response, and the audible and visual alarm is used as the defense strategy; the second risk feature interval is set to [0.4, 0.7), corresponding to the second level of response, and the pre-locking of the anti-falling device and the standby of the electric field neutralizer are used as the defense strategy; the third risk feature interval is set to ≥0.7, corresponding to the third level of response, and the forced contraction of the back-up rope to a preset safe length, the start of emergency descent and the cutting off of the power supply of the live tool are used as the defense strategy.

[0039] Embodiment 2 The present embodiment provides an intelligent safety belt-based power high-altitude operation defense system, as shown in Figure 3 for implementing the intelligent safety belt-based power high-altitude operation defense method described in embodiment 1; the system includes: The collection module is integrated on the intelligent safety belt and a main control box carried by the worker (the main control box communicates with the corresponding intelligent safety belt), and is used for collecting environmental data and work data of the aerial work point in real time; the work data includes 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 aerial work point; a three-axis magnetoresistance sensor is arranged in 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 in the inside pressure buffer layer of the chest buckle to realize environmental temperature and humidity monitoring; the collection module further includes 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; The construction module is used for constructing 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; The coupling module is used for coupling the environmental risk features and the conduction risk features to obtain composite risk features; the composite risk features consider the superposition influence of the risk features; The strategy generation module is used for generating a defense strategy according to the composite risk features for reference by the ground command center.

[0040] In the scheme, the intelligent safety belt and the main control box carried by the worker can realize communication, and in the process of constructing the cooperative work ad hoc network communication network, the communication link can be adaptively updated; if a new networking node is added in the work range, it can also be used as a temporary backup link, such as a drone or temporarily added work worker equipment.

[0041] 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.

[0042] Embodiment 3 The embodiment provides a computer readable medium, which stores a computer program, and the computer program can realize the power aerial work defense method based on the intelligent safety belt as described in the embodiment 1 when executed by a processor; and the following steps are specifically executed: Step one: collecting environmental data and work data of the aerial work point based on the intelligent safety belt in real time; the work data includes work task type data and cooperative work state data; Step two: constructing 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; Step 3: Coupling the environmental risk characteristics and the conductive risk characteristics to obtain a composite risk characteristic; the composite risk characteristic takes into account the superposition effect of the risk characteristics; Step 4: Generate a defense strategy based on the composite risk characteristics for reference by the ground command center.

[0043] Based on the above method, this embodiment carried out 500kV live repair, 220kV storm emergency repair and ±800kV high altitude operation tests at the UHV test site. The calculated data are shown in Table 1: Table 1 UHV test results

[0044] The average warning success rate of traditional methods in the same scenario is only 68%.

[0045] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for protecting electric power high-altitude operations based on intelligent safety belts, characterized in that: include: Based on the intelligent safety belt, the environmental data and operation data of the high-altitude operation point are collected in real time; the operation data includes operation task type data and collaborative operation status data; Constructing risk characteristics of high-altitude work sites based on environmental data and work data; the risk characteristics include environmental risk characteristics and conductive risk characteristics; The environmental risk characteristics include: electrical risk characteristics, mechanical risk characteristics and meteorological risk characteristics; The environmental risk feature and the conductive risk feature are coupled to obtain a composite risk feature; the composite risk feature takes into account the superposition effect of the risk features; A defense strategy is generated based on the composite risk characteristics for reference by the ground command center.

2. The method for protecting electric power high-altitude operations based on an intelligent safety belt according to claim 1 is characterized in that: The intelligent safety belt is used to collect environmental data and operation data of the high-altitude operation point in real time; Includes methods: Real-time collection of environmental data at each high-altitude work point based on smart safety belts; If the current operation at the high-altitude operation point belongs to a collaborative operation task, each operation point in the collaborative operation task is used as a networking node to build a collaborative operation self-organizing network communication network for collecting collaborative operation status data.

3. The method for protecting electric power high-altitude operations based on an intelligent safety belt according to claim 1 is characterized in that: The method for constructing the electrical risk signature includes: Obtain the electric field strength E, relative humidity B, distance L to the nearest charged object, circuit variables of the nearest line, and voltage level of the nearest line at the high-altitude working point; The electrical risk characteristic T is calculated based on the following formula: 电气 : T 电气 =min(1,abcd) ; a=min(1, ); b=1+X 湿度 ×min(0,B-Be); Where min(*,#) means the smaller of * and #; a represents the foundation breakdown risk; b represents the humidity correction factor; X 湿度 represents the humidity influence coefficient, which is taken as 0.02; Be represents the electrical relative humidity safety threshold; c represents the voltage level correction coefficient, when the voltage level is 500V, c=1.2; when the voltage level is 220V, c=1; when the voltage level is 110V, c=0.8; d represents the circuit variable correction coefficient, when the nearest line is an AC variable, d=1; when the nearest line is a DC variable, d=1.2; when the nearest line is a lightning overvoltage variable, d=1.

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4. The method for protecting electric power high-altitude operations based on an intelligent safety belt according to claim 1, characterized in that: The method for constructing the mechanical risk characteristics includes: Obtain the anchor load F, operator inclination angle α, wind speed V, and weight M of the tools carried by the operator at the high-altitude work point; The mechanical risk characteristic T is calculated based on the following formula: 力学 : T 力学 = min(1,φfgh) ; φ = min(1, F / Fe); f=1+X 角度 ×max(0, α-αe); g=1+min(0.5, ); h=1+X 质量 M / Me; Wherein, max(*,#) means the larger of * and #; min(*,#) means the smaller of * and #; φ represents the basic fall 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, which is set to 0.03; αe represents the operator's tilt angle safety threshold; g represents the wind load correction factor; ρ represents the air density; h represents the tool impact correction factor; Pe represents the safety wind pressure threshold; Me represents the tool weight safety threshold; X 质量 It represents the quality influence coefficient and is taken as 0.

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5. The method for protecting electric power high-altitude operations based on intelligent safety belts according to claim 1 is characterized in that: The method for constructing the meteorological risk characteristics includes: Obtain the temperature T, relative humidity B, wind speed V, and hourly pressure drop Tr at the high-altitude work point; The meteorological risk characteristic T is calculated based on the following formula: 气象 : T 气象 =max(i,j,k) ; ； ) ； ； Among them, min[*,#] means the smaller of * and #; max(*,#,%) means the larger of *, #, and %; i represents the icing risk factor; j represents the strong wind risk factor; k represents the thunderstorm risk factor, which is related to the air pressure change trend Tr; Be1 represents the first safety threshold of meteorological relative humidity; Be2 represents the second safety threshold of 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 safety threshold of the hourly drop in air pressure; otherwise represents otherwise.

6. The method for protecting electric power high-altitude operations based on an intelligent safety belt according to claim 1 is characterized in that: The method for constructing the conduction risk characteristics includes: Get the distance J and wire tension f between the current high-altitude working point and the adjacent working point j , electric field strength E j and vibration acceleration a j ; The transmission risk characteristic T of the adjacent working point to the current high-altitude working point is calculated based on the following formula: 传导 : T 传导 =min(1,u / ue); u=β1x+β2y+β3z+β4t; β1+β2+β3+β4=1； x=exp(-J / Je); y=min(1,f j / f je ) x; ； t=2a j x; Where min[*,#] represents the smaller of * 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 benchmark 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 phase distance; E je1 Indicates the first safe electric field strength threshold; E je2 represents the second safety electric field strength threshold; t represents the vibration conduction risk; β4 represents the vibration conduction risk weight; otherwise represents otherwise.

7. The method for protecting electric power high-altitude operations based on an intelligent safety belt according to claim 1, characterized in that: Coupling the environmental risk feature and the conductive risk feature to obtain a composite risk feature includes: Obtain the work task type, electrical risk characteristics, mechanical risk characteristics, meteorological risk characteristics, and conduction risk characteristics of the high-altitude work site; The comprehensive risk characteristic T is obtained by weighted summing of electrical risk characteristics, mechanical risk characteristics, meteorological risk characteristics and conduction risk characteristics. 综合 ; Configure the weights of electrical risk characteristics, mechanical risk characteristics, meteorological risk characteristics, and conduction risk characteristics according to the task type; Preset risk thresholds; The risk thresholds include: electrical risk characteristic thresholds, mechanical risk characteristic thresholds, meteorological risk characteristic thresholds, and conduction risk characteristic thresholds; When any two values ​​of the electrical risk characteristic, mechanical risk characteristic, meteorological risk characteristic and conduction risk characteristic exceed the risk threshold, the comprehensive risk characteristic T is amplified. 综合 Get γT 综合 ;γ>1; and the more risk features exceed the risk threshold, the larger γ is; According to formula T 复合 =min(1, γT 综合 ) to obtain the composite risk characteristic T 复合 , where min[*,#] means taking the smaller of * and #.

8. The method for protecting electric power high-altitude operations based on an intelligent safety belt according to claim 7 is characterized in that: The method for generating the defense strategy includes: Preset a first risk characteristic interval, a second risk characteristic interval, and a third risk characteristic interval with gradually increasing risk characteristic values; When the composite risk feature is in the first risk feature interval, the sound and light alarm is used as a defense strategy; When the composite risk characteristic is in the second risk characteristic interval, the defense strategy is to start the pre-locking of the fall arrester and put the electric field neutralizer on standby; When the composite risk characteristic is in the third risk characteristic interval, the defense strategy is to forcibly retract the backup rope to the preset safety length, initiate emergency descent, and cut off the power supply of live tools.

9. The power high-altitude operation defense system based on intelligent safety belt is characterized by: Used to implement the power high-altitude operation defense method based on the smart safety belt according to any one of claims 1 to 8; the system includes: The acquisition module is integrated into the intelligent safety belt and is used to collect environmental data and operation data of the high-altitude operation point in real time; the operation data includes operation task type data and collaborative operation status data; A construction module is used to construct risk characteristics of high-altitude work sites based on environmental data and work data; the risk characteristics include environmental risk characteristics and conductive risk characteristics; the environmental risk characteristics include electrical risk characteristics, mechanical risk characteristics, and meteorological risk characteristics; A coupling module, configured to couple the environmental risk feature and the conductive risk feature to obtain a composite risk feature; the composite risk feature takes into account the superposition effect of the risk features; A strategy generation module is used to generate a defense strategy based on the composite risk characteristics for reference by the ground command center.

10. A computer-readable medium having a computer program stored thereon, characterized in that: The computer program is executed by a processor to implement the power height operation defense method based on the smart safety belt as described in any one of claims 1 to 8.

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