Automatic safety monitoring system and method for power construction area

Abstract

The invention relates to the technical field of power construction safety services, and particularly discloses an automatic safety monitoring system and method for a power construction area, and the system comprehensively evaluates the construction risk evaluation level of the power construction area by collecting construction environment parameters of the power construction area under first automatic safety monitoring. Construction material performance parameters of the power construction area under first automatic safety monitoring are obtained, the construction material bearing risk level of the power construction area is judged and compared with the construction risk assessment level for analysis, then all the power construction abnormal sub-areas are positioned, and feedback is conducted on construction safety monitoring of all the power construction abnormal sub-areas; refined safety monitoring management is facilitated, risk assessment and construction monitoring can be independently carried out on each construction sub-area, and the safety of the construction area and the safety and high efficiency of the construction process are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power construction safety services, and in particular to an automated safety monitoring system and method for electric power construction areas. Background Art

[0002] With the increasing complexity of power engineering projects, safety management of power construction areas has become a crucial link. However, at present, construction protection equipment data usually runs independently and lacks the ability to share and interact with other safety monitoring data. This limits the comprehensive acquisition of on-site information in power construction areas, which has an adverse impact on the efficiency and accuracy of safety monitoring.

[0003] For example, the invention patent with announcement number CN116258467B announces a power construction management and control system, which involves the field of power construction management and control technology. The system includes a data acquisition unit, a power construction scheduling unit and an equipment monitoring unit. The data acquisition unit can obtain various equipment parameters and real-time environmental data during the power construction process, including temperature, humidity, air quality and wind speed, etc. The power construction scheduling unit can calculate the work intensity index, construction quality index and work completion time of each work based on the environmental data, so as to carry out power construction scheduling. The equipment monitoring unit determines whether the equipment has abnormalities through data fusion, and locates the problem equipment through multi-directional data expansion mapping.

[0004] For example, the invention patent with announcement number CN116523494B relates to the technical field of power construction safety supervision, specifically, to a power construction site safety supervision management system, which includes a standardized inspection process planning module, a fault repair planning module and an on-site troubleshooting real-time monitoring module; the standardized inspection process planning module compares various standardized operation steps and fault point image monitoring information, calls the inspection process standardized steps corresponding to the fault line to be inspected, and determines whether the current construction personnel have performed the inspection in accordance with the inspection process standardized steps. At the same time, the system will not adopt the fault cause obtained by the construction personnel if they do not operate in accordance with the inspection process standardized steps. At the same time, the fault repair planning module calls the corresponding maintenance process standardized steps according to the fault cause information, and the on-site troubleshooting real-time monitoring module transmits the maintenance process standardized steps to the construction personnel, and monitors the construction personnel in the maintenance process in real time to ensure the standardization of the entire maintenance work and reduce the risks brought by abnormal operations.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: when analyzing the safety of the power construction site, only the construction environment or construction power data is analyzed according to the process, which is difficult to fully reflect the actual situation of the power construction site, and may cause a large deviation in the judgment of the safety status of the power construction site, thereby failing to ensure the safety of the power construction site and construction personnel. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an automated safety monitoring system and method for electric power construction areas, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides an automated safety monitoring system for an electric power construction area, including: a risk assessment module, which is used to collect construction environment parameters of the electric power construction area under the first automated safety monitoring, and evaluate the construction risk assessment index of the electric power construction area; a risk determination module, which is used to obtain the performance parameters of construction materials in the electric power construction area under the first automated safety monitoring, determine the risk index of construction materials in the electric power construction area, and compare it with the construction risk assessment index. If the risk index of construction materials in the electric power construction area is less than the construction risk assessment index, the risk positioning module is executed. If the risk index of construction materials in the electric power construction area is greater than or equal to the construction risk assessment index, the second automated safety monitoring of the electric power construction area is continued; a risk positioning module, which is used to divide the electric power construction area into various electric power construction sub-areas according to the preset construction time, collect the construction process parameters of each electric power construction sub-area, analyze the construction process risk coefficient of each electric power construction sub-area, thereby locating each abnormal electric power construction sub-area, and providing feedback on the construction safety monitoring of each abnormal electric power construction sub-area.

[0008] As a further solution, the collection of construction environment parameters of the power construction area under the first automated safety monitoring specifically refers to the construction environment parameters of the power construction area within the first environmental analysis cycle.

[0009] As a further solution, the second automated safety monitoring of the power construction area specifically obtains and performs the second automated safety monitoring of the power construction area through the monitoring method of the first automated safety monitoring.

[0010] As a further solution, the construction safety monitoring of each abnormal power construction sub-area is fed back. The specific feedback process is: by locating each abnormal power construction sub-area, the construction safety monitoring of each abnormal power construction sub-area is fed back through the safety monitoring feedback mechanism, and finally the automated safety monitoring of the power construction area is completed.

[0011] The second aspect of the present invention provides a method applied to the automated safety monitoring system of the power construction area, characterized in that it includes: S1. Collecting the construction environment parameters of the power construction area under the first automated safety monitoring, and evaluating the construction risk assessment index of the power construction area; S2. Obtaining the performance parameters of the construction materials in the power construction area under the first automated safety monitoring, determining the risk index of the construction materials in the power construction area, and comparing it with the construction risk assessment index; if the risk index of the construction materials in the power construction area is less than the construction risk assessment index, executing the risk positioning module; if the risk index of the construction materials in the power construction area is greater than or equal to the construction risk assessment index, continuing to perform the second automated safety monitoring on the power construction area; S3. Dividing the power construction area into various power construction sub-areas according to the preset construction time, collecting the construction process parameters of each power construction sub-area, analyzing the construction process risk coefficient of each power construction sub-area, thereby locating each abnormal power construction sub-area, and providing feedback on the construction safety monitoring of each abnormal power construction sub-area.

[0012] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0013] (1) The present invention provides an automated safety monitoring system and method for electric power construction areas, which collect construction environment parameters of the electric power construction area under the first automated safety monitoring, comprehensively evaluate the construction risk assessment level of the electric power construction area, and obtain the performance parameters of construction materials in the electric power construction area under the first automated safety monitoring, determine the risk level of construction materials in the electric power construction area, compare and analyze the risk level, and then locate each abnormal electric power construction sub-area, and provide feedback on the construction safety monitoring of each abnormal electric power construction sub-area, which is helpful to achieve refined safety monitoring management. Each construction sub-area can independently perform risk assessment and construction monitoring, thereby improving the safety of the construction area and the safety and efficiency of the construction process.

[0014] (2) The present invention obtains the construction material risk index of the power construction area by comprehensively analyzing the actual area of ​​the corrosion area of ​​the overhead line area belonging to the power construction area at the end time of the first environmental analysis cycle, the total resistance of the grounding resistor, the reference total resistance of the grounding resistor, and the total current offset value of the current detection point belonging to the power construction area during the first environmental analysis cycle. Based on the accurate judgment of the construction material risk index, resources can be allocated more reasonably, and key protection can be given to high-risk construction areas instead of indiscriminate protection of all areas. This not only improves the efficiency of safety monitoring, but also helps to improve the level of refined management of construction areas.

[0015] (3) The present invention determines the risk level of the construction process of each power construction sub-area by comprehensively analyzing the total crack length, average insulation resistance value and construction process qualification of the construction protection materials in each power construction sub-area. On the basis of traditional construction risk assessment, this method incorporates the performance parameters of construction protection materials into the risk assessment system, making the risk assessment more dynamic and closer to the actual construction area situation, improving the accuracy and practicality of safety monitoring in the construction area, and ensuring that the quality of construction protection materials during the construction process meets the standards, thereby improving the overall construction quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0017] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0018] Figure 2 The figure is a schematic flow chart of the method steps of the present invention.

[0019] Figure 3 It is a schematic diagram of the construction area of ​​the power tower involved in the present invention.

[0020] Figure 4 It is a schematic diagram of the current curve involved in the present invention.

[0021] Figure numerals: 1. Temperature measurement point; 2. Current detection point; 3. Current curve during construction; 4. Current reference curve; 5. Power construction sub-area. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0023] Reference Figure 1 As shown, the first aspect of the present invention provides an automated safety monitoring system for power construction areas, comprising: a risk assessment module, a risk determination module and a risk location module.

[0024] The first aspect of the present invention provides an automated safety monitoring system for power construction areas, which also includes a construction monitoring database, which is used to store the arc generation intensity corresponding to each wind direction angle interval, the influence factor corresponding to the unit value of the maximum temperature gradient value, the influence factor corresponding to the unit value of the actual water vapor pressure, the influence factor corresponding to the unit value of the arc generation intensity, the reference total resistance of the grounding resistance corresponding to each actual water vapor pressure interval, the influence factor corresponding to the unit value of the actual area of ​​the corrosion area, the influence factor corresponding to the unit value of the total current offset value, the correction factor corresponding to the total resistance of the grounding resistance, the construction process qualification corresponding to each construction deviation total time interval, the influence factor corresponding to the unit value of the total crack length, the influence factor corresponding to the unit value of the average insulation resistance value, and the influence factor corresponding to the unit value of the construction process qualification.

[0025] The risk assessment module is connected to the risk determination module and the construction monitoring database respectively, the risk determination module is connected to the risk positioning module and the construction monitoring database respectively, and the risk positioning module is connected to the construction monitoring database.

[0026] The risk assessment module is used to collect construction environment parameters of the power construction area under the first automated safety monitoring, and evaluate the construction risk assessment index of the power construction area.

[0027] It should be explained that, in this embodiment, the power construction area specifically refers to Figure 3 The power tower construction area is shown.

[0028] Specifically, the collected construction environment parameters of the power construction area under the first automated safety monitoring specifically refer to the construction environment parameters of the power construction area within the first environmental analysis cycle; the above-mentioned first automated safety monitoring refers to the first automated safety monitoring; the above-mentioned first environmental analysis cycle refers to the time period corresponding to the first safety monitoring of the power construction area, and its specific duration is determined by the project analysis engineer according to the complexity of the construction environment.

[0029] It should be explained that the construction environment parameters include temperature and wind direction. In addition to being applicable to the above parameters, this example can also be used for other parameters, but the directions in which these parameters can be fed back (ie, positive and negative relationships) are consistent.

[0030] Specifically, the construction risk assessment index of the power construction area, in this embodiment, is obtained by comprehensive analysis of the maximum temperature gradient value, actual water vapor pressure and arc generation intensity of the power construction area at the end time of the first environmental analysis cycle, and is used to evaluate the value of the construction risk level that may occur due to the construction environment of the power construction area. The specific expression is:

[0031]

[0032] DP is the maximum gradient value of the temperature difference in the power construction area at the end time of the first environmental analysis cycle, indicating the maximum difference in the temperature difference under the condition that the temperature in the power construction area changes with the location.

[0033] HM is the actual water vapor pressure in the power construction area at the end of the first environmental analysis cycle. It indicates the partial pressure (partial pressure intensity) generated by water vapor in the air. The international unit is hectopascals (hPa), which indirectly indicates the water vapor content in the atmosphere.

[0034] WS is the arc intensity in the power construction area at the end of the first environmental analysis cycle. The relationship between wind direction and arc intensity is complex and dynamic. Under different wind directions, the direction, magnitude and stability of the wind force on the arc will change. These changes act together on the arc and cause its intensity to change.

[0035] e is a natural constant, ds1 is the influence factor corresponding to the unit value of the maximum temperature difference gradient value preset in the construction monitoring database, which represents the influence degree of the unit value of the maximum temperature difference gradient value on the construction risk assessment index. A mapping set of the maximum temperature difference gradient value and its corresponding influence factor is constructed based on the relationship between the historical maximum temperature difference gradient value and the construction risk assessment index, and the real-time maximum temperature difference gradient value is input into the mapping set to obtain the influence factor corresponding to the unit value of the maximum temperature difference gradient value. At the same time, its value range in this example is [0,1].

[0036] ds2 is the impact factor corresponding to the actual water vapor pressure unit value preset in the construction monitoring database, which represents the degree of influence of the actual water vapor pressure unit value on the construction risk assessment index. It is a mapping set of actual water vapor pressure and its corresponding impact factor constructed according to the relationship between the historical actual water vapor pressure and the construction risk assessment index, and the real-time actual water vapor pressure is input into the mapping set to obtain the impact factor corresponding to the actual water vapor pressure unit value. At the same time, its value range in this example is [0,1].

[0037] ds3 is the impact factor corresponding to the unit value of arc intensity preset in the construction monitoring database, which represents the degree of influence of the unit value of arc intensity on the construction risk assessment index. A mapping set of arc intensity and its corresponding impact factor is constructed based on the relationship between historical arc intensity and construction risk assessment index, and the real-time arc intensity is input into the mapping set to obtain the impact factor corresponding to the unit value of arc intensity. At the same time, its value range in this example is [0,1].

[0038] Among them, RKG is the construction risk assessment index of the power construction area. Under the high water vapor pressure environment, the insulation performance of the power facilities in the power construction area is significantly reduced. For example, the insulation performance of the overhead lines of the poles is reduced, which aggravates the potential risk of arc generation. At the same time, the significant temperature gradient will lead to uneven thermal expansion and contraction of the power facilities, which not only accelerates the fatigue and aging of the power facilities, but also further increases the intensity of power facility failures and arc phenomena. The arc generation intensity directly indicates the risk level of arc generation. The three parameters analyze the arc risk in the power construction area from different dimensions. The generation of arcs, as a high-energy discharge phenomenon, has a great impact on the power construction area. It poses a serious safety threat to power construction workers and power facilities, and may cause serious accidents such as fire and electric shock. The large maximum temperature gradient value affects the dimensional stability and accuracy of power facilities, increases the difficulty of construction and safety hazards. The high actual water vapor pressure will lead to a decrease in the insulation performance of power facilities, increase the risk of electric shock to power construction workers and short circuit of power facilities, and high-intensity electric arcs will damage power facilities and power lines, affecting construction quality. Therefore, the three parameters are comprehensively analyzed to derive a construction risk assessment index, accurately quantify the possible risks generated by the environment in the power construction area, and consider the risk hazards in the power construction area more, which can improve the comprehensiveness of the risk level assessment in the power construction area.

[0039] In this exemplary embodiment, the change table of the construction risk assessment index and its corresponding parameters in the above-mentioned power construction area is shown in Table 1:

[0040] Table 1 Changes in construction risk assessment index and its corresponding parameters in power construction areas

[0041]

[0042] In this example embodiment, the value of the influence factor corresponding to the unit value of the maximum temperature difference gradient value is set to 0.2, the value of the influence factor corresponding to the unit value of the actual water vapor pressure is set to 0.05, and the value of the influence factor corresponding to the unit value of the arc generation intensity is set to 0.6. It can be seen from Table 1 that the construction risk assessment index calculated by different maximum temperature difference gradient values, actual water vapor pressures and arc generation intensities is slightly different. Specifically, the construction risk assessment index of the first column and the second column in Table 1 differs by only 0.5%, and the construction risk assessment index of the second column and the third column differs by only 1.6%. Therefore, in order to accurately analyze the construction risk assessment index, the accuracy of the parameters must be guaranteed when acquiring the parameters.

[0043] Furthermore, the construction risk assessment index of the power construction area is assessed, and the specific assessment process is as follows:

[0044] The temperature values ​​of each temperature measurement point in the power construction area at the end time of the first environmental analysis cycle are extracted from the construction environment parameters of the power construction area within the first environmental analysis cycle. The minimum interval temperature measurement point corresponding to each temperature measurement point is obtained through distance analysis. The temperature value of each temperature measurement point at the end time of the first environmental analysis cycle and the temperature value of the corresponding minimum interval temperature measurement point at the end time of the first environmental analysis cycle are subjected to difference processing to obtain the temperature difference value of each temperature measurement point at the end time of the first environmental analysis cycle. The temperature difference values ​​are sorted in descending order, and the first-ranked temperature difference value and the last-ranked temperature difference value are extracted for difference processing. The processing results are marked as The maximum temperature gradient value of the power construction area at the end time of the first environmental analysis cycle; the minimum interval temperature measurement point corresponding to the above-mentioned temperature measurement points, the specific analysis method is: analyze the distance between the three-dimensional coordinates of a certain temperature measurement point and the three-dimensional coordinates of other temperature measurement points, obtain the interval distance between a certain temperature measurement point and other temperature measurement points, and sort the interval distances in ascending order, extract the first-ranked interval distance, and the corresponding temperature measurement point is the temperature measurement point and the minimum interval temperature measurement point corresponding to the temperature measurement point, use this method to analyze each temperature measurement point, and obtain the minimum interval temperature measurement point corresponding to each temperature measurement point; the above-mentioned temperature measurement points, such as Figure 3 As shown in the temperature measurement point 1, the project analysis engineer selects the location points according to the actual situation of the construction environment, and the horizontal intervals of each temperature measurement point are equal; the temperature values ​​of the above-mentioned temperature measurement points at the end time of the first environmental analysis cycle are measured by the temperature sensor; the above-mentioned temperature difference value refers to the temperature value of the temperature measurement point at the end time of the first environmental analysis cycle minus the temperature value of the corresponding minimum interval temperature measurement point at the end time of the first environmental analysis cycle; the above-mentioned maximum temperature difference gradient value refers to the temperature difference value ranked first minus the temperature difference value ranked last.

[0045] The temperature values ​​of each temperature measurement point in the power construction area at the end of the first environmental analysis cycle are averaged to obtain the average temperature value of the power construction area at the end of the first environmental analysis cycle, the air humidity and saturated water vapor pressure in the power construction area at the end of the first environmental analysis cycle are obtained and comprehensively analyzed, and the analysis result is marked as the actual water vapor pressure in the power construction area at the end of the first environmental analysis cycle; the air humidity and saturated water vapor pressure in the power construction area at the end of the first environmental analysis cycle, wherein the air humidity is the relative humidity, measured by a relative humidity meter, wherein the saturated water vapor pressure is obtained by querying the saturated water vapor pressure corresponding to the average temperature value of the power construction area at the end of the first environmental analysis cycle, and the corresponding rule is formulated by meteorologists; the actual water vapor pressure in the power construction area at the end of the first environmental analysis cycle, the specific analysis process is: HM = XW*BHM, XW is the air humidity in the power construction area at the end of the first environmental analysis cycle, and BHM is the saturated water vapor pressure in the power construction area at the end of the first environmental analysis cycle.

[0046] The wind direction angle of the power construction area at the end time of the first environmental analysis cycle is extracted from the construction environment parameters of the power construction area within the first environmental analysis cycle, and matched with the arc generation intensity corresponding to each wind direction angle interval stored in the construction monitoring database to obtain the arc generation intensity of the power construction area at the end time of the first environmental analysis cycle, thereby comprehensively evaluating the construction risk assessment index of the power construction area; the wind direction angle of the above-mentioned power construction area at the end time of the first environmental analysis cycle is measured by a wind direction sensor; the arc generation intensity of the above-mentioned power construction area at the end time of the first environmental analysis cycle, the specific matching process is: each wind direction angle interval corresponds to the arc generation intensity, and the wind direction angle interval to which the wind direction angle of the power construction area at the end time of the first environmental analysis cycle belongs is queried, then the arc generation intensity corresponding to the wind direction angle interval is the arc generation intensity of the power construction area at the end time of the first environmental analysis cycle, wherein the corresponding rules and corresponding values ​​corresponding to each wind direction angle interval and the arc generation intensity are formulated by the project analysis engineer based on historical work experience.

[0047] The risk determination module is used to obtain the performance parameters of construction materials in the power construction area under the first automated safety monitoring, determine the risk index of construction materials in the power construction area, and compare it with the construction risk assessment index. If the risk index of construction materials in the power construction area is less than the construction risk assessment index, the risk positioning module is executed; if the risk index of construction materials in the power construction area is greater than or equal to the construction risk assessment index, the second automated safety monitoring of the power construction area continues.

[0048] If the risk index of construction materials in the power construction area is less than the construction risk assessment index, it indicates that the base material of power facilities in the power construction area, that is, the construction materials, cannot fully resist the potential risks brought by the construction environment, and the risks in the power construction area need to be further analyzed. If the risk index of construction materials in the power construction area is greater than or equal to the construction risk assessment index, it indicates that the construction materials in the power construction area can fully resist the potential risks brought by the construction environment, and the second automated safety monitoring of the power construction area will continue.

[0049] It should be explained that the above-mentioned construction material performance parameters include characteristic images, construction process current curves and total grounding resistance, wherein the data in the characteristic images include the areas of each corrosion region. In addition to being applicable to the above-mentioned parameters, this example can also be used for other parameters, but the directions in which these parameters can be fed back (i.e., positive and negative relationships) are consistent.

[0050] In a specific embodiment, the present invention obtains the construction material risk index of the power construction area by comprehensively analyzing the actual area of ​​the corrosion area of ​​the overhead line area belonging to the power construction area at the end time point of the first environmental analysis cycle, the total resistance of the grounding resistance, the reference total resistance of the grounding resistance, and the total current offset value of the current detection point belonging to the power construction area during the first environmental analysis cycle. Based on the accurate judgment of the construction material risk index, resources can be allocated more reasonably, and high-risk construction areas can be focused on protection instead of indiscriminate protection of all areas. This not only improves the efficiency of safety monitoring, but also helps to improve the level of refined construction area management.

[0051] Specifically, the second automated safety monitoring of the power construction area is to obtain and perform the second automated safety monitoring of the power construction area through the monitoring method of the first automated safety monitoring. It needs to be explained that the monitoring method of the above-mentioned first automated safety monitoring is formulated by the power construction project engineer. In this embodiment, the monitoring method is to monitor the construction environment parameters and the performance parameters of the construction materials, and perform the second automated safety monitoring of the power construction area, that is, to perform the second automated safety monitoring of the power construction area, and continue to monitor the construction environment parameters and the performance parameters of the construction materials, so as to achieve continuous automated safety monitoring of the power construction area.

[0052] Furthermore, the specific determination process of determining the risk index of construction materials in the power construction area is as follows:

[0053] A characteristic image of the overhead line area belonging to the power construction area at the end time point of the first environmental analysis cycle is extracted from the performance parameters of the construction materials in the power construction area under the first automated safety monitoring, each corrosion area in the characteristic image is located, the area of ​​each corrosion area is counted, and the image area of ​​the corrosion area of ​​the overhead line area belonging to the power construction area at the end time point of the first environmental analysis cycle is obtained, and the scaling ratio of the characteristic image is obtained, and the product processing is performed with the image area of ​​the corrosion area to obtain the actual area of ​​the corrosion area of ​​the overhead line area belonging to the power construction area at the end time point of the first environmental analysis cycle; the overhead line area belonging to the power construction area is located in the first environmental analysis The characteristic image at the end time of the cycle is obtained by taking pictures with an infrared thermal imager. The specific positioning process of each corrosion area in the above-mentioned positioning characteristic image is as follows: due to the change in material properties, there is a temperature difference between the corrosion area and the surrounding non-corroded area. These temperature differences will appear as different colors and brightness under the infrared thermal imager. Therefore, infrared imaging software (such as a complete remote sensing image processing platform) is used to set the temperature threshold of the corrosion area, and each corrosion area is divided out. Then, the area selection tool provided in the software is used to analyze the area of ​​each trend area, and the image area of ​​the corrosion area is accumulated. The zoom ratio of the above-mentioned characteristic image is obtained by querying the shooting parameters of the infrared thermal imager.

[0054] Obtain a current reference curve of the current detection point in the power construction area within the first environmental analysis period, extract the construction process current curve of the current detection point in the power construction area within the first environmental analysis period from the performance parameters of the construction materials in the power construction area under the first automated safety monitoring, overlap and compare with the corresponding current reference curve, and analyze to obtain the total current offset value of the current detection point in the power construction area within the first environmental analysis period; the above-mentioned current detection point refers to the location point for detecting the current in the power construction area, which is determined by the project analysis engineer; the current reference curve of the current detection point in the power construction area within the first environmental analysis period is determined by the power engineer according to the actual load conditions in the power construction area. In this embodiment, the current reference curve of the current detection point of the power tower pole in the first environmental analysis period is as follows: Figure 4 The current reference curve 4 in the current curve schematic diagram is shown; the current curve of the construction process of the current detection point in the above-mentioned power construction area within the first environmental analysis cycle, in this embodiment, as Figure 3 As shown in FIG. 1 , the current value of the current detection point 2 in the first environmental analysis cycle is measured by the current sensor. The current values ​​of the current detection points in the first environmental analysis cycle are connected and processed using the matrix laboratory software to obtain Figure 4The construction process current curve 3 in the current curve schematic diagram has a horizontal axis for the current monitoring time point in milliseconds, and a vertical axis for the current value in amperes, wherein the current monitoring time point is a time point within the first environmental analysis cycle, obtained from the data recorded by the current sensor; the above is overlapped and compared with the corresponding current reference curve, and the specific comparison process is: randomly arrange a number of data points on the construction process current curve, query the vertical axis value corresponding to each data point on the construction process current curve and the corresponding vertical axis value on the current reference curve, subtract the corresponding vertical axis value on the current reference curve from the corresponding vertical axis value on the construction process current curve of each data point, and obtain the current offset value of each data point, and add up the absolute value of the current offset value of each data point after processing.

[0055] The total grounding resistance value of the power construction area at the end time of the first environmental analysis cycle is extracted from the construction material performance parameters of the power construction area under the first automated safety monitoring, and the actual water vapor pressure of the power construction area at the end time of the first environmental analysis cycle is matched with the reference total grounding resistance value corresponding to each actual water vapor pressure interval stored in the construction monitoring database, thereby obtaining the reference total grounding resistance value of the grounding resistance belonging to the power construction area at the end time of the first environmental analysis cycle; the total grounding resistance value of the above-mentioned power construction area at the end time of the first environmental analysis cycle is measured by a grounding resistance tester; the above-mentioned power construction area The reference total resistance of the grounding resistance in the construction area at the end of the first environmental analysis cycle is the reference total resistance of the grounding resistance. The specific matching process is: each actual water vapor pressure interval corresponds to the reference total resistance of the grounding resistance, and the actual water vapor pressure interval to which the actual water vapor pressure in the power construction area at the end of the first environmental analysis cycle belongs is queried. The reference total resistance of the grounding resistance corresponding to the actual water vapor pressure interval is the reference total resistance of the grounding resistance in the power construction area at the end of the first environmental analysis cycle. The corresponding rules and corresponding values ​​corresponding to each actual water vapor pressure interval and the reference total resistance of the grounding resistance are formulated by the project analysis engineer based on historical work experience.

[0056] The risk index of construction materials in the power construction area is determined in this way. In this embodiment, the risk index of construction materials in the power construction area is obtained by comprehensive analysis of the actual area of ​​the corrosion area of ​​the overhead line area belonging to the power construction area at the end time of the first environmental analysis period, the total resistance value of the grounding resistor, the reference total resistance value of the grounding resistor, and the total current offset value of the current detection point belonging to the power construction area in the first environmental analysis period. It is used to determine the value of the risk level that the construction materials in the power construction area can withstand. The specific expression is:

[0057]

[0058] DF is the actual area of ​​the corrosion zone of the overhead line area in the power construction area at the end of the first environmental analysis cycle. It indicates the area of ​​the overhead line surface corrosion caused by environmental factors (such as moisture, chemical gases, acid substances, etc.) or physical factors (such as mechanical wear, aging, etc.) in the overhead line area of ​​the power construction area. The size of the area directly affects the reliability of overhead line operation.

[0059] RY is the total current offset value of the current detection points in the power construction area during the first environmental analysis cycle. It refers to the total deviation between the current value actually measured at the current detection points in the power construction area and the theoretical value, reflecting the stability and efficiency of the current during transmission.

[0060] TC is the total grounding resistance value of the power construction area at the end of the first environmental analysis cycle. It represents the total resistance value of all grounding devices (such as grounding electrodes, grounding grids, etc.) in the power construction area, and reflects the scale and quality of electrical installations. The size of the grounding resistance directly affects the lightning protection and leakage protection capabilities of power facilities, as well as the safe and stable operation of the power construction area.

[0061] TC c It is the reference total resistance of the grounding resistance in the power construction area at the end of the first environmental analysis cycle. It represents the reference value of the total resistance of the analyzed grounding resistance and is formulated by the project analysis engineer.

[0062] e is a natural constant, iu1 is the influence factor corresponding to the actual unit value of the corrosion area preset in the construction monitoring database, which represents the influence degree of the actual unit value of the corrosion area on the risk index of construction materials. A mapping set between the actual area of ​​the corrosion area and its corresponding influence factor is constructed based on the relationship between the actual area of ​​the historical corrosion area and the risk index of construction materials. The real-time actual area of ​​the corrosion area is input into the mapping set to obtain the influence factor corresponding to the actual unit value of the corrosion area. At the same time, its value range in this example is [0,1].

[0063] iu2 is the influence factor corresponding to the unit value of the total current offset value preset in the construction monitoring database, which represents the influence degree of the unit value of the total current offset value on the risk index of construction materials. A mapping set of the total current offset value and its corresponding influence factor is constructed based on the relationship between the historical total current offset value and the risk index of construction materials, and the real-time total current offset value is input into the mapping set to obtain the influence factor corresponding to the unit value of the total current offset value. At the same time, its value range in this example is [0,1].

[0064] iu3 is the correction factor corresponding to the total grounding resistance value preset in the construction monitoring database, which represents the degree of adjustment for the numerical change of the total grounding resistance value. It is a mapping set of the total grounding resistance value and its corresponding correction factor constructed based on the relationship between the historical total grounding resistance value and the construction material risk index, and the real-time total grounding resistance value is input into the mapping set to obtain the correction factor corresponding to the total grounding resistance value. At the same time, its value range in this example is [0,1].

[0065] Among them, SIP is the risk index of construction materials in the power construction area. With the expansion of the actual area of ​​the corrosion area, the integrity of the insulation layer in the overhead line area in the power construction area is destroyed, which significantly reduces its insulation performance, thereby causing the current to shift during the transmission process. The originally evenly distributed current is concentrated in the area with severe corrosion due to the damage of the insulation layer, causing the current offset value to increase, aggravating the uneven load of the power facilities. Due to the increase in the current offset value, part of the current flows into the earth through the grounding system. If the grounding resistance deviates from the normal reference resistance range at this time, it will seriously affect the grounding effect, which may cause the power facility to short-circuit and cause serious consequences such as damage to the power facility. This shows that the risk level that the construction materials in the power construction area can withstand is relatively low. The parameters together reflect the ability of construction materials in the power construction area to withstand risks. The larger the corrosion area, the smaller the risk tolerance index of the construction materials, because the performance of the construction materials has been significantly negatively affected. The excessive total current offset value affects the energy consumption and performance of the power facilities and increases the risk level in the power construction area. Therefore, the construction materials cannot withstand a larger risk level. The excessive deviation of the total grounding resistance from the reference resistance directly reduces the safety and stability of the construction area, resulting in the construction materials being unable to withstand a larger risk level. The three parameters comprehensively evaluate the risk tolerance level of construction materials, which helps to reduce the assessment deviation caused by ignoring key factors, and at the same time helps to reduce the time and cost of unnecessary maintenance and replacement, and improve the accuracy, reliability and efficiency of safety monitoring.

[0066] The risk location module is used to divide the power construction area into various power construction sub-areas according to the preset construction time, collect the construction process parameters of each power construction sub-area, analyze the construction process risk coefficient of each power construction sub-area, thereby locating each abnormal power construction sub-area, and provide feedback on the construction safety monitoring of each abnormal power construction sub-area.

[0067] The above-mentioned construction preset duration is the duration planned and set by the project analysis engineer for each power construction sub-area before the power construction. In an example embodiment, Figure 3 As shown, the preset construction time of the power construction sub-area 5 is 15 minutes.

[0068] It should be explained that the above construction process parameters include the actual construction time point. In addition to being applicable to the above parameters, this example can also be used for other parameters, but the direction in which these parameters can be fed back (ie, positive and negative relationships) is consistent.

[0069] In a specific embodiment, the present invention determines the risk level of the construction process of each power construction sub-area by comprehensively analyzing the total crack length, average insulation resistance value and construction process qualification of the construction protection materials belonging to each power construction sub-area. Based on the traditional construction risk assessment, this method incorporates the performance parameters of the construction protection materials into the risk assessment system, making the risk assessment more dynamic and closer to the actual construction area situation, improving the accuracy and practicality of safety monitoring in the construction area, and ensuring that the quality of construction protection materials during the construction process meets the standards, thereby improving the overall construction quality.

[0070] Specifically, the feedback on the construction safety monitoring of each abnormal sub-area of ​​power construction is performed, and the specific feedback process is: by locating each abnormal sub-area of ​​power construction, feedback is given to the construction safety monitoring of each abnormal sub-area of ​​power construction through the safety monitoring feedback mechanism, and finally the automated safety monitoring of the power construction area is completed; the automated safety monitoring system of the power construction area to which the above-mentioned safety monitoring feedback mechanism belongs has the function of providing feedback on the abnormalities of the power construction area, and its specific working method is: assuming that a certain abnormal sub-area of ​​power construction is located as a pole transformer, the automated safety monitoring system of the power construction area generates an early warning document through the safety monitoring feedback mechanism, and the early warning document includes the location point of the pole transformer, thereby completing the automated safety monitoring of this power construction area, and the construction supervisor queries the construction plan of the pole transformer according to the information in the early warning document, and adjusts the construction plan of the pole transformer according to the actual situation.

[0071] Specifically, the positioning of each abnormal power construction sub-area, the specific positioning process is: comparing the construction process risk coefficient of each power construction sub-area with the construction process risk threshold, if the construction process risk coefficient of a certain power construction sub-area is greater than the construction process risk threshold, then the power construction sub-area is marked as an abnormal power construction sub-area, thereby counting and locating each power construction sub-area corresponding to a construction process risk coefficient greater than the construction process risk threshold, and recording it as each abnormal power construction sub-area; the above-mentioned construction process risk threshold represents the minimum value of a reasonable range of the construction process risk coefficient, which is formulated by the power construction project engineer. If the construction process risk coefficient of a certain power construction sub-area is greater than the construction process risk threshold, it indicates that the construction risk of the power construction sub-area is more likely to be converted into actual harm, so the power construction sub-area is marked as an abnormal power construction sub-area, if the construction process risk coefficient of a certain power construction sub-area is less than or equal to the construction process risk threshold, it indicates that the construction risk of the power construction sub-area is less likely to be converted into actual harm, and there is no need to immediately mark it as an abnormal power construction sub-area, and it can be safely and continuously monitored.

[0072] Furthermore, the construction process risk coefficient of each power construction sub-area is specifically analyzed as follows:

[0073] Obtain inspection images of each construction protection material belonging to each power construction sub-area, extract the crack length of each construction protection material from the inspection image of each construction protection material, and accumulate to obtain the total crack length of the construction protection material belonging to each power construction sub-area; the inspection images of each construction protection material belonging to the above-mentioned power construction sub-areas are photographed by quality inspection specialists and uploaded to the automatic safety monitoring system of the power construction area. Each construction protection material has a corresponding number. During the power construction process, the inspection images of each construction protection material belonging to each power construction sub-area are obtained by querying the construction protection material number called in the automatic safety monitoring system of the power construction area. In an example embodiment, assuming that the numbers of the protection materials called in the power construction sub-area 5 are 007 and 008 respectively, the query obtains the inspection image of 007 and the inspection image of 008; the crack lengths of the above-mentioned construction protection materials are obtained by analyzing the inspection images using an image processing algorithm (such as a histogram threshold segmentation method).

[0074] The insulation resistance value of each construction protection material belonging to each power construction sub-area is obtained, and the average insulation resistance value of the construction protection materials belonging to each power construction sub-area is obtained by averaging; the insulation resistance value of each construction protection material belonging to each power construction sub-area is obtained by testing each construction protection material by a quality inspection specialist to obtain the corresponding insulation resistance value and uploading it to the automatic safety monitoring system for the power construction area, and the insulation resistance value of each construction protection material belonging to each power construction sub-area is obtained by querying the called protection material number in the automatic safety monitoring system for the power construction area. In an example embodiment, the query obtains that the insulation resistance value of 007 is 1 megohm and the insulation resistance value of 008 is 1.5 megohm.

[0075] The actual construction time points of the key nodes of each power construction sub-area are extracted from the construction process parameters of each power construction sub-area, and the preset construction time points of the key nodes of each power construction sub-area are obtained. The preset construction time points of the key nodes of each power construction sub-area are processed by difference with the actual construction time points of the corresponding key nodes to obtain the construction deviation duration of each key node of each power construction sub-area, and the total construction deviation duration of each power construction sub-area is accumulated to obtain the total construction deviation duration of each power construction sub-area, which is matched with the construction process qualification corresponding to each construction deviation total duration interval stored in the construction monitoring database, thereby obtaining the construction process qualification of each power construction sub-area. The actual construction time points of the key nodes of the above-mentioned power construction sub-areas are recorded in real time using modern information technology (such as construction monitoring system, Internet of Things equipment); the preset construction time points of the key nodes of the above-mentioned power construction sub-areas are recorded in real time using modern information technology (such as construction monitoring system, Internet of Things equipment); The preset construction time point is set by the project analysis engineer; the construction deviation time of each key node in each of the above-mentioned power construction sub-areas refers to the actual construction time point minus the preset construction time point, and the difference is processed as the absolute value and recorded as the construction deviation time of each key node in each power construction sub-area; the construction process qualification of each of the above-mentioned power construction sub-areas, the specific matching process is: each construction deviation total time interval corresponds to the construction process qualification, and the construction deviation total time interval to which the construction deviation total time of each power construction sub-area belongs is queried, then the construction process qualification corresponding to the required construction deviation total time interval is the construction process qualification of each power construction sub-area, wherein the corresponding rules and corresponding values ​​corresponding to each construction deviation total time interval and the construction process qualification are all formulated by the project analysis engineer based on historical work experience.

[0076] In an example embodiment, the key nodes include power tower reinforcement binding, insulator installation, and load testing.

[0077] The construction process risk coefficient of each power construction sub-area is obtained by comprehensive analysis. In this embodiment, the construction process risk coefficient of each power construction sub-area is obtained by comprehensive analysis of the total crack length, average insulation resistance value of the construction protection material of each power construction sub-area and the construction process qualification of each power construction sub-area. It is used to determine the value of the construction process risk level of each power construction sub-area. The specific expression is:

[0078]

[0079] CD n It is the total crack length of the construction protection materials in the nth power construction sub-area, which is directly related to the service life, safety performance and overall construction quality of the construction protection materials.

[0080] PF n It is the average insulation resistance value of the construction protection materials in the nth power construction sub-area. It is an indicator to measure the ability of construction protection materials to prevent current from passing through them. It is very important for power construction because it is directly related to the safe operation of electrical equipment and personal safety.

[0081] WL n It is the construction technology qualification degree of the nth power construction sub-area, which is a comprehensive evaluation of the overall construction technology level of the nth power construction sub-area, and is scored based on the construction deviation time of each key node.

[0082] e is a natural constant, hz1 is the influence factor corresponding to the unit value of the total crack length preset in the construction monitoring database, which represents the influence degree of the unit value of the total crack length on the risk factor of the construction process. A mapping set of the total crack length and its corresponding influence factor is constructed based on the relationship between the historical total crack length and the risk factor of the construction process, and the real-time total crack length is input into the mapping set to obtain the influence factor corresponding to the unit value of the total crack length. At the same time, its value range in this example is [0,1].

[0083] hz2 is the impact factor corresponding to the unit value of the average insulation resistance value preset in the construction monitoring database, which represents the degree of influence of the unit value of the average insulation resistance value on the risk factor of the construction process. A mapping set of the average insulation resistance value and its corresponding impact factor is constructed based on the relationship between the historical average insulation resistance value and the risk factor of the construction process, and the real-time average insulation resistance value is input into the mapping set to obtain the impact factor corresponding to the unit value of the average insulation resistance value. At the same time, its value range in this example is [0,1].

[0084] hz3 is the influencing factor corresponding to the unit value of the construction process qualification preset in the construction monitoring database, which represents the degree of influence of the unit value of the construction process qualification on the risk coefficient of the construction process. It is a mapping set of the construction process qualification and its corresponding influencing factors constructed according to the relationship between the historical construction process qualification and the risk coefficient of the construction process, and the real-time construction process qualification is input into the mapping set to obtain the influencing factor corresponding to the unit value of the construction process qualification. At the same time, its value range in this example is [0,1].

[0085] Among them, IFZ n is the construction process risk coefficient of the nth power construction sub-area. The qualification of the construction process is low, indicating that the construction process failed to strictly follow the time node of the preset plan, which directly weakened the construction team's real-time monitoring and control capabilities of parameters such as current fluctuations that are critical in the construction process, further increasing the probability of potential risks. At this time, if the total length of the cracks in the construction protection material is large, it reveals the degradation and deterioration of the physical structure of the construction protection material, seriously weakening the mechanical bearing strength of the construction protection material, and reducing its average insulation resistance value, which reduces the effectiveness of the protective barrier designed to resist current shocks. In the context of low construction process qualification that may cause current anomalies, the decline in the performance of protective materials increases the possibility of risks turning into actual hazards, posing a more severe challenge to the overall construction safety and project quality, and therefore jointly increases the safety hazards in the construction process. Comprehensive analysis of the three parameters can efficiently identify each abnormal sub-area of ​​power construction, so as to carry out targeted re-planning of its construction plan, improve the quality of the construction process, ensure the stability of power equipment, and ensure the safety of power construction workers during the construction process.

[0086] n is the number of each power construction sub-area, n={1,2,3,...,m}, and m is the total number of power construction sub-areas.

[0087] In a specific embodiment, the present invention provides an automated safety monitoring system and method for electric power construction areas, which collect construction environment parameters of the electric power construction area under the first automated safety monitoring, comprehensively evaluate the construction risk assessment level of the electric power construction area, and obtain the performance parameters of construction materials in the electric power construction area under the first automated safety monitoring, determine the risk level of construction materials in the electric power construction area, compare and analyze the risk assessment level, and then locate each abnormal electric power construction sub-area, and provide feedback on the construction safety monitoring of each abnormal electric power construction sub-area, which helps to achieve refined safety monitoring management. Each construction sub-area can independently perform risk assessment and construction monitoring, thereby improving the safety of the construction area and the safety and efficiency of the construction process.

[0088] Reference Figure 2As shown, the second aspect of the present invention provides a method applied to the automated safety monitoring system of the power construction area, including: S1. Collecting the construction environment parameters of the power construction area under the first automated safety monitoring, and evaluating the construction risk assessment index of the power construction area; S2. Obtaining the performance parameters of the construction materials in the power construction area under the first automated safety monitoring, determining the risk index of the construction materials in the power construction area, and comparing it with the construction risk assessment index; if the risk index of the construction materials in the power construction area is less than the construction risk assessment index, executing the risk positioning module; if the risk index of the construction materials in the power construction area is greater than or equal to the construction risk assessment index, continuing to perform the second automated safety monitoring on the power construction area; S3. Dividing the power construction area into various power construction sub-areas according to the preset construction time, collecting the construction process parameters of each power construction sub-area, analyzing the construction process risk coefficient of each power construction sub-area, thereby locating each abnormal power construction sub-area, and providing feedback on the construction safety monitoring of each abnormal power construction sub-area.

[0089] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. The automatic safety monitoring system for power construction area is characterized by: include: The risk assessment module is used to collect the construction environment parameters of the power construction area under the first automated safety monitoring and evaluate the construction risk assessment index of the power construction area; A risk determination module is used to obtain the performance parameters of the construction materials in the power construction area under the first automated safety monitoring, determine the risk index of the construction materials in the power construction area, and compare it with the construction risk assessment index. If the risk index of the construction materials in the power construction area is less than the construction risk assessment index, the risk positioning module is executed. If the risk index of the construction materials in the power construction area is greater than or equal to the construction risk assessment index, the second automated safety monitoring of the power construction area is continued; The risk location module is used to divide the power construction area into various power construction sub-areas according to the preset construction time, collect the construction process parameters of each power construction sub-area, analyze the construction process risk coefficient of each power construction sub-area, thereby locating each abnormal power construction sub-area, and provide feedback on the construction safety monitoring of each abnormal power construction sub-area.

2. The automatic safety monitoring system for electric power construction area according to claim 1 is characterized by: The collected construction environment parameters of the power construction area under the first automated safety monitoring specifically refer to the construction environment parameters of the power construction area within the first environmental analysis cycle.

3. The automated safety monitoring system for electric power construction areas according to claim 1 is characterized by: The construction risk assessment index of the power construction area is assessed, and the specific assessment process is as follows: Extract the temperature values ​​of each temperature measurement point in the power construction area at the end time of the first environmental analysis cycle from the construction environment parameters of the power construction area within the first environmental analysis cycle, obtain the minimum interval temperature measurement point corresponding to each temperature measurement point through distance analysis, perform difference processing on the temperature value of each temperature measurement point at the end time of the first environmental analysis cycle and the temperature value of the corresponding minimum interval temperature measurement point at the end time of the first environmental analysis cycle, obtain the temperature difference value of each temperature measurement point at the end time of the first environmental analysis cycle, and sort them in order from large to small, extract the first-ranked temperature difference value and the last-ranked temperature difference value for difference processing, and mark the processing result as the maximum temperature difference gradient value of the power construction area at the end time of the first environmental analysis cycle; The temperature values ​​of each temperature measurement point in the power construction area at the end of the first environmental analysis cycle are averaged to obtain the average temperature value of the power construction area at the end of the first environmental analysis cycle, the air humidity and saturated water vapor pressure in the power construction area at the end of the first environmental analysis cycle are obtained and comprehensively analyzed, and the analysis result is marked as the actual water vapor pressure of the power construction area at the end of the first environmental analysis cycle; The wind direction angle of the power construction area at the end time of the first environmental analysis cycle is extracted from the construction environment parameters of the power construction area within the first environmental analysis cycle, and matched with the arc generation intensity corresponding to each wind direction angle interval stored in the construction monitoring database to obtain the arc generation intensity in the power construction area at the end time of the first environmental analysis cycle, thereby comprehensively evaluating the construction risk assessment index of the power construction area.

4. The automatic safety monitoring system for electric power construction area according to claim 3 is characterized by: The construction risk assessment index of the power construction area is specifically expressed as: Among them, RKG is the construction risk assessment index of the power construction area, DP is the maximum temperature difference gradient value in the power construction area at the end time of the first environmental analysis cycle, HM is the actual water vapor pressure in the power construction area at the end time of the first environmental analysis cycle, WS is the arc generation intensity in the power construction area at the end time of the first environmental analysis cycle, e is a natural constant, ds1 is the influencing factor corresponding to the unit value of the maximum temperature difference gradient value preset in the construction monitoring database, ds2 is the influencing factor corresponding to the unit value of the actual water vapor pressure preset in the construction monitoring database, and ds3 is the influencing factor corresponding to the unit value of the arc generation intensity preset in the construction monitoring database.

5. The automatic safety monitoring system for electric power construction area according to claim 1 is characterized by: The specific determination process of determining the risk index of construction materials in the power construction area is as follows: Extracting a characteristic image of the overhead line area belonging to the power construction area at the end time point of the first environmental analysis cycle from the performance parameters of the construction materials in the power construction area under the first automated safety monitoring, locating each corrosion area in the characteristic image, and counting the area of ​​each corrosion area to obtain the image area of ​​the corrosion area of ​​the overhead line area belonging to the power construction area at the end time point of the first environmental analysis cycle, obtaining a scaling ratio of the characteristic image, and performing a product processing with the image area of ​​the corrosion area to obtain the actual area of ​​the corrosion area of ​​the overhead line area belonging to the power construction area at the end time point of the first environmental analysis cycle; Obtain a current reference curve of a current detection point in the power construction area within the first environmental analysis period, extract a construction process current curve of the current detection point in the power construction area within the first environmental analysis period from the performance parameters of construction materials in the power construction area under the first automated safety monitoring, overlap and compare with the corresponding current reference curve, and analyze to obtain a total current offset value of the current detection point in the power construction area within the first environmental analysis period; The total grounding resistance value of the power construction area at the end time point of the first environmental analysis cycle is extracted from the performance parameters of the construction materials in the power construction area under the first automated safety monitoring. The actual water vapor pressure of the power construction area at the end time point of the first environmental analysis cycle is matched with the reference total grounding resistance value corresponding to each actual water vapor pressure interval stored in the construction monitoring database. The reference total grounding resistance value of the grounding resistance in the power construction area at the end time point of the first environmental analysis cycle is obtained, thereby determining the risk index of construction materials in the power construction area.

6. The automatic safety monitoring system for electric power construction area according to claim 1 is characterized by: The second automated safety monitoring of the power construction area specifically obtains and performs the second automated safety monitoring of the power construction area through the monitoring method of the first automated safety monitoring.

7. The automatic safety monitoring system for electric power construction area according to claim 1 is characterized by: The specific positioning process of locating each abnormal sub-area of ​​power construction is as follows: The construction process risk coefficient of each power construction sub-area is compared with the construction process risk threshold. If the construction process risk coefficient of a power construction sub-area is greater than the construction process risk threshold, the power construction sub-area is marked as an abnormal power construction sub-area. Thus, the power construction sub-areas corresponding to the construction process risk coefficient greater than the construction process risk threshold are counted and located, and recorded as abnormal power construction sub-areas.

8. The automated safety monitoring system for electric power construction areas according to claim 7 is characterized by: The specific analysis process of the construction process risk coefficient of each power construction sub-area is as follows: Acquire detection images of each construction protection material belonging to each power construction sub-area, extract the crack length of each construction protection material from the detection image of each construction protection material, and accumulate to obtain the total crack length of the construction protection material belonging to each power construction sub-area; Obtain the insulation resistance value of each construction protection material in each power construction sub-area, and perform mean processing to obtain the average insulation resistance value of the construction protection material in each power construction sub-area; The actual construction time points of each key node in each power construction sub-area are extracted from the construction process parameters of each power construction sub-area, and the preset construction time points of each key node in each power construction sub-area are obtained. The difference processing is performed with the actual construction time points of the corresponding key nodes to obtain the construction deviation duration of each key node in each power construction sub-area, and the total construction deviation duration of each power construction sub-area is accumulated to obtain the total construction deviation duration of each power construction sub-area. It is matched with the construction process qualification degree corresponding to each total construction deviation duration interval stored in the construction monitoring database, thereby obtaining the construction process qualification degree of each power construction sub-area, and the construction process risk coefficient of each power construction sub-area is obtained by comprehensive analysis.

9. The automated safety monitoring system for electric power construction areas according to claim 1 is characterized by: The feedback of the construction safety monitoring of each abnormal power construction sub-area is specifically conducted as follows: By locating each abnormal sub-area of ​​power construction, the construction safety monitoring of each abnormal sub-area of ​​power construction is fed back through the safety monitoring feedback mechanism, and finally the automated safety monitoring of the power construction area is completed.

10. A method applied to the automated safety monitoring system for electric power construction areas as claimed in any one of claims 1 to 9, characterized in that: include: S1. Collect construction environment parameters of the power construction area under the first automated safety monitoring, and evaluate the construction risk assessment index of the power construction area; S2. Obtain the performance parameters of the construction materials in the power construction area under the first automated safety monitoring, determine the risk index of the construction materials in the power construction area, and compare it with the construction risk assessment index. If the risk index of the construction materials in the power construction area is less than the construction risk assessment index, execute the risk positioning module. If the risk index of the construction materials in the power construction area is greater than or equal to the construction risk assessment index, continue to perform the second automated safety monitoring on the power construction area; S3. Divide the power construction area into various power construction sub-areas according to the preset construction time, collect the construction process parameters of each power construction sub-area, analyze the construction process risk coefficient of each power construction sub-area, thereby locating each power construction abnormal sub-area, and provide feedback on the construction safety monitoring of each power construction abnormal sub-area.

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