Risk early warning method and equipment for distribution network visual monitoring system

By monitoring and evaluating the environmental data and structural status of distribution network lines in real time, and calculating the risk assessment value for early warning, the problem of low reliability of risk warning in the existing technology is solved, and a more accurate and reliable risk warning is achieved.

CN119647949APending Publication Date: 2025-03-18SICHUAN NENGTOU YUNLIAN ELECTRIC POWER CO LTD
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Patent Information

Application Number
CN202411694490.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-25
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

In the prior art, the risk warning of distribution network lines is low in the process of visual monitoring, and it is prone to false alarms or missed reports, interfering with the judgment and decision-making of operation and maintenance personnel.

Method used

By obtaining real-time environmental data, angle steel data and fixture connection data of distribution network lines, we can monitor water leakage, hexagon screw deformation and fixture connections in real time, calculate the first, second and third risk assessment values, and conduct risk warnings based on these values.

Benefits of technology

It improves the reliability of risk warning of distribution network lines during visual monitoring, reduces false alarms and missed reports, and enhances the judgment and decision-making basis of operation and maintenance personnel.

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Abstract

The invention discloses a risk early warning method and equipment for a distribution network visual monitoring system, and relates to the technical field of distribution network monitoring risk supervision. The risk early warning method for the distribution network visual monitoring system comprises the following steps: acquiring distribution network line data; obtaining a first risk assessment value; obtaining a second risk assessment value; acquiring a third risk assessment value; and the risk early warning result is visualized. According to the method, the distribution network channel environment data, the angle steel data and the fixing frame connection data of the distribution network line at the current moment are acquired, then the first risk assessment value, the second risk assessment value and the third risk assessment value are acquired according to the real-time operation state of the distribution network line, and risk early warning is carried out; and finally, a risk early warning report is generated according to the obtained real-time monitoring data and visualized, so that the risk early warning reliability of the distribution network line in the visualized monitoring process is improved, and the problem of low risk early warning reliability of the distribution network line in the visualized monitoring process in the prior art is solved.
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Description

Technical Field

[0001] The present invention relates to the technical field of distribution network monitoring risk supervision, and in particular to a risk early warning method and device for a distribution network visual monitoring system. Background Art

[0002] The safe and stable operation of the power grid is the basis of power supply and an important guarantee for economic and social development. With the continuous growth of power load and the increasing complexity of the power grid structure, the operating environment of distribution lines has become more and more complex. These lines often cross various terrains, including cities, villages, mountains, rivers, etc., and are also affected by various factors in the natural environment such as temperature, humidity, haze, wind, etc. This complexity makes the operation and maintenance of distribution lines more challenging and increases the risk of line failures and accidents. Traditional distribution line monitoring methods mainly rely on manual inspections and regular inspections. This method has great limitations and cannot achieve real-time monitoring and early warning of line operation status. Therefore, a more efficient, accurate, and real-time monitoring method is needed to replace the traditional monitoring method.

[0003] Existing technology uses the system's built-in risk assessment model to perform real-time analysis on the collected data to obtain risk information, and sends warning signals according to different levels corresponding to different risk information. It then monitors the operation of the distribution room and the working status of the corresponding equipment in real time, thereby improving the efficiency of risk warning.

[0004] For example, the medium-voltage distribution network multi-source and multi-dimensional power outage warning and response strategy generation method and system announced by the invention patent with announcement number: CN114358500B includes: collecting production management data, distribution network operation management data, power grid asset management data, and power supply service command data to form a multi-source data set of the distribution network; obtaining the historical fault data set of the distribution network based on statistical methods, and obtaining the panoramic data set of the distribution network based on data fusion methods; extracting fault characteristics from the panoramic data set of the distribution network based on machine learning methods; constructing a correlation model between operation characteristics and fault characteristics based on the correlation analysis method, and fusing the operation characteristics and fault characteristics with the maximum correlation as the optimization goal to obtain warning characteristics; clustering the warning characteristics based on a parallel network structure; comparing the key parameters in the power outage hidden danger event with the warning threshold, and when the key parameters are greater than the warning threshold, outputting the power outage hidden danger event as a power outage warning event; determining the danger level of the power outage warning event based on the operation and maintenance safety index, and formulating response strategies for power outage warning events of different danger levels.

[0005] For example, the patent application with publication number: CN114997582A discloses a distribution network operation risk early warning method, system and computer equipment, including: parsing the operation records of the target operator into the operation status data of the target operator, and presetting the threshold range of the normal operation status; comparing the operation status data with the preset threshold range of the normal operation status to determine whether there is an operation risk in the operation record; matching the safe production operation database according to the identification information of the operation risk type event, and retrieving the safe operation operation data of the corresponding target operator in the safe production operation database; feeding back the safe operation operation data to the intelligent terminal, so that the intelligent terminal executes the early warning instruction according to the safe operation operation data.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, risk assessment models are often constructed based on historical data and experience, and may not be able to fully adapt to the complexity and variability of distribution network lines in actual operation. In addition, due to the uncertainty of data collection and risk assessment models, false alarms (i.e., sending warnings when there are no actual risks) or missed alarms (i.e., not sending warnings when there are actual risks) may occur when sending warning signals, which in turn interferes with the judgment and decision-making of operation and maintenance personnel, and there is a problem of low reliability of risk warnings in the process of visual monitoring of distribution network lines. Summary of the invention

[0008] The embodiments of the present application solve the problem of low reliability of risk warning in the process of visual monitoring of distribution network lines in the prior art by providing a risk warning method and equipment for a distribution network visual monitoring system, thereby improving the reliability of risk warning in the process of visual monitoring of distribution network lines.

[0009] The embodiment of the present application provides a risk warning method for a distribution network visualization monitoring system, comprising the following steps: step one, obtaining distribution network channel environmental data, angle steel data, and fixed frame connection data of the distribution network line at the current moment; step two, performing water leakage monitoring on the distribution network channel and obtaining a first risk assessment value according to changes in the distribution network channel environmental data during the water leakage monitoring process, and judging whether to perform a first risk warning based on the obtained first risk assessment value, wherein the first risk assessment value is used to assess the probability of water leakage in the distribution network channel at the next moment; step three, real-time monitoring of the deformation between the hexagonal screw and the connecting component and obtaining a second risk assessment value according to changes in the angle steel data, and judging whether to perform a first risk warning based on the obtained second risk assessment value. The evaluation value determines whether to issue a second risk warning, and the second risk evaluation value is used to evaluate the probability of loosening of the connection between the hexagonal screw and the connecting component at the next moment; step four, real-time monitoring of the connection status between the fixing frames and obtaining a third risk evaluation value according to the change of the fixing frame connection data, and judging whether to issue a third risk warning based on the obtained third risk evaluation value, the third risk evaluation value is used to evaluate the probability of imbalance of the connection part of the fixing frame at the next moment; step five, generating a risk warning report according to the real-time monitoring data of the distribution network line during operation and visualizing it through a full-dimensional intelligent image monitoring all-in-one machine, and the real-time monitoring data includes risk warning results and risk potential locations.

[0010] Furthermore, the first risk assessment value is obtained by the following method: A1, obtaining the tightness of the tower base screw of the distribution network channel at the current moment and determining whether it is not less than the reference tower base screw tightness. If so, executing A2, otherwise prompting the operation and maintenance personnel to perform maintenance until the tightness of the tower base screw at the current moment is not less than the reference tower base screw tightness; A2, obtaining the ambient temperature and ambient humidity of the distribution network channel at the current moment and combining the maximum allowable ambient temperature and the maximum allowable ambient humidity to obtain an ambient temperature score and an ambient humidity score, wherein the ambient temperature score is the ratio of the ambient temperature to the maximum allowable ambient temperature, and the ambient humidity score is the ratio of the ambient humidity to the maximum allowable ambient humidity; A3, performing a ratio operation on the ambient haze concentration of the distribution network channel at the current moment and the maximum allowable ambient haze concentration to obtain an ambient haze concentration score, and combining the ambient haze influencing factor to obtain the first risk assessment value, wherein the ambient haze influencing factor is used to reflect the degree of influence of water mist in the ambient haze on the ambient humidity.

[0011] Furthermore, the step of obtaining the second risk assessment value includes: B1, obtaining the horizontal angle steel flip-up angle of the angle steel in the distribution network channel at the current moment, and judging whether the horizontal angle steel flip-up angle is within the maximum allowable horizontal angle steel flip-up angle range. If so, the horizontal angle steel flip-up angle score is obtained in combination with the maximum allowable horizontal angle steel flip-up angle and B2 is executed, otherwise the operation and maintenance personnel are prompted to perform maintenance; B2, obtaining the bevel angle steel flip-up angle and the bevel angle steel flip-down angle of the angle steel in the distribution network channel at the current moment, and performing calculations with the maximum allowable bevel angle steel flip-up angle and the maximum allowable bevel angle steel flip-down angle to obtain the bevel angle steel flip-up angle score and the bevel angle steel flip-down angle score respectively; B3, obtaining a preset angle steel angle weight factor from a preset database, and combining the obtained horizontal angle steel flip-up angle score, bevel angle steel flip-up angle score, bevel angle steel flip-down angle score and the first risk assessment value to obtain a second risk assessment value, wherein the angle steel angle weight factor includes a horizontal angle steel flip-up angle weight factor, a bevel angle steel flip-up angle weight factor and a bevel angle steel flip-down angle weight factor.

[0012] Furthermore, the specific limiting expression of the second risk assessment value is:

[0013]

[0014]

[0015]

[0016]

[0017] Where i is the number of the distribution network channel, i = 1, 2, ..., Y, Y is the total number of distribution network channels, t is the number at the current moment, t = 1, 2, ..., T, T is the total number at the current moment, j is the number of the connection component type, j = 1, 2, j = 1 represents a bolt, j = 2 represents a nut, e is a natural constant, represents the second risk assessment value of the connection between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, YI i.t represents the first risk assessment value of the ith distribution channel in the distribution network at the current time t, ΔYI represents the first risk assessment threshold range, β1 represents the weight factor of the horizontal angle steel flip angle, It represents the upward angle score of the horizontal angle steel at the connection between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, ΔP1 represents the maximum allowable upward angle range of the horizontal angle steel, It represents the maximum allowable horizontal angle steel turning up angle at the connection between the hexagonal screw and the jth connecting component, represents the upward turning angle of the horizontal angle steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, β2 represents the weight factor of the upward turning angle of the angle steel, It represents the angle score of the angle steel at the connection between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t. It represents the maximum allowable bevel steel tilting angle at the connection between the hexagonal screw and the jth connecting component. represents the upward tilt angle of the angle steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, β3 represents the downward tilt angle weight factor of the angle steel, It represents the angle score of the angle steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t. It represents the maximum allowable angle of the bevel steel at the connection between the hexagonal screw and the jth connecting part. It represents the downward turning angle of the bevel steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t.

[0018] Further, the third risk assessment value is obtained by the following method: C1, obtaining the vibration frequency and vibration speed of the connection part of the fixing frame at the current moment and combining the maximum allowable vibration frequency and the maximum allowable vibration speed to obtain the vibration frequency score and the vibration speed score, the vibration frequency score is the ratio of the vibration frequency to the maximum value of the tightness of the first fixing screw, and the vibration speed score is the ratio of the vibration speed to the maximum allowable vibration speed; C2, obtaining the tightness of the first fixing screw and the second fixing screw and combining the maximum value of the tightness of the first fixing screw and the maximum value of the tightness of the second fixing screw to obtain the first tightness score and the second tightness score, and at the same time combining the obtained vibration frequency score and vibration speed score to obtain the third risk assessment value, the first fixing screw tightness is the tightness of the fixing screw at the upper end of the connection part of the fixing frame at the current moment, the second fixing screw tightness is the tightness of the fixing screw at the lower end of the connection part of the fixing frame at the current moment, the first tightness score is the ratio of the tightness of the first fixing screw to the maximum value of the tightness of the first fixing screw, and the second tightness score is the ratio of the tightness of the second fixing screw to the maximum value of the tightness of the second fixing screw.

[0019] An embodiment of the present application provides an electronic device, comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered to execute the risk warning method for a distribution network visualization monitoring system.

[0020] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0021] 1. By obtaining the distribution network channel environment data, angle steel data and fixed frame connection data of the distribution network line at the current moment, and then obtaining the first risk assessment value, the second risk assessment value and the third risk assessment value according to the real-time operation status of the distribution network line and performing risk warning, finally generating a risk warning report according to the acquired real-time monitoring data and visualizing it, a more accurate assessment of the real-time operation status of the distribution network line is achieved, thereby improving the reliability of risk warning of the distribution network line in the process of visual monitoring, and effectively solving the problem of low reliability of risk warning of the distribution network line in the process of visual monitoring in the prior art.

[0022] 2. By obtaining the tightness of the tower base screw of the distribution network channel at the current moment, which is not less than the tightness of the reference tower base screw, the ambient temperature and ambient humidity of the distribution network channel at the current moment are obtained and combined with the maximum allowable ambient temperature and the maximum allowable ambient humidity to obtain the ambient temperature score and the ambient humidity score, and the first risk assessment value is obtained by combining the ambient haze influencing factor and the obtained ambient haze concentration score, so that the first risk assessment value is obtained more accurately, thereby achieving the improvement of the accuracy and reliability of the first risk warning.

[0023] 3. By obtaining the horizontal angle steel upward flip angle score, the oblique angle steel upward flip angle score, and the oblique angle steel downward flip angle score of the angle steel in the distribution network channel at the current moment, and obtaining the preset angle steel angle weight factor from the preset database and combining it with the obtained first risk assessment value to obtain the second risk assessment value, the second risk assessment value can be obtained more accurately, thereby achieving improved accuracy and reliability of the second risk warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A flow chart of a risk warning method for a distribution network visual monitoring system provided in an embodiment of the present application;

[0025] Figure 2 A specific flow chart of risk assessment provided in the embodiment of the present application;

[0026] Figure 3 A schematic diagram of the installation of the P6s upper tower provided in the embodiment of the present application;

[0027] Figure 4 Specific illustrations of angle steel types provided for embodiments of the present application;

[0028] Figure 5 A two-dimensional coordinate diagram of the second risk assessment value-first risk assessment value coefficient provided in an embodiment of the present application;

[0029] Figure 6A two-dimensional coordinate diagram of the second risk assessment value-angle steel angle score provided in an embodiment of the present application;

[0030] Figure 7 A schematic diagram of the connection parts of the fixing frame provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] The embodiment of the present application solves the problem of low reliability of risk warning in the visual monitoring process of distribution network lines in the prior art by providing a risk warning method and device for a distribution network visual monitoring system. The method obtains the distribution network channel environmental data, angle steel data and fixed frame connection data of the distribution network line at the current moment, performs water leakage monitoring on the distribution network channel at the same time, and obtains a first risk assessment value according to the change of the distribution network channel environmental data during the water leakage monitoring process. It is judged whether to issue a first risk warning based on the obtained first risk assessment value, and then the deformation between the hexagonal screw and the connecting component is monitored in real time and a second risk assessment value is obtained according to the change of the angle steel data. It is judged whether to issue a second risk warning based on the obtained second risk assessment value. Then, the connection between the fixed frames is monitored in real time and a third risk assessment value is obtained according to the change of the fixed frame connection data. It is judged whether to issue a third risk warning based on the obtained third risk assessment value. Finally, a risk warning report is generated according to the real-time monitoring data of the distribution network line during operation and visualized through a full-dimensional intelligent image monitoring all-in-one machine, thereby improving the reliability of risk warning in the visual monitoring process of the distribution network line.

[0032] The technical solution in the embodiment of the present application is to solve the problem of low reliability of risk warning in the visual monitoring process of the above distribution network line. The overall idea is as follows:

[0033] By obtaining the distribution network channel environment data, angle steel data and fixed frame connection data of the distribution network line at the current moment, and then obtaining the first risk assessment value, the second risk assessment value and the third risk assessment value according to the real-time operation status of the distribution network line and performing risk warning, finally generating a risk warning report based on the acquired real-time monitoring data and visualizing it, the effect of improving the reliability of risk warning of the distribution network line during the visual monitoring process is achieved.

[0034] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0035] like Figure 1As shown, it is a flow chart of a risk warning method for a distribution network visualization monitoring system provided in an embodiment of the present application. The risk warning method for a distribution network visualization monitoring system provided in an embodiment of the present application comprises the following steps: Step 1, obtaining distribution network channel environmental data, angle steel data and fixed frame connection data of the distribution network line at the current moment, the distribution network channel environmental data comprising ambient temperature, ambient humidity, ambient haze concentration and tightness of tower base screws, the angle steel data comprising an upward flip angle of the bevel angle steel, a downward flip angle of the bevel angle steel and an upward flip angle of the horizontal angle steel, the fixed frame connection data comprising vibration frequency, vibration speed and tightness of fixing screws; Step 2, performing water leakage monitoring on the distribution network channel and obtaining a first risk assessment value according to changes in the distribution network channel environmental data during the water leakage monitoring process, judging whether to perform a first risk warning based on the obtained first risk assessment value, and the first risk assessment value being used to evaluate the distribution network channel. The probability of water leakage at the next moment is obtained; step three, real-time monitoring of the deformation between the hexagonal screw and the connecting component and obtaining a second risk assessment value according to the change of the angle steel data, judging whether to issue a second risk warning based on the obtained second risk assessment value, and the second risk assessment value is used to assess the probability of loosening of the connection between the hexagonal screw and the connecting component at the next moment; step four, real-time monitoring of the connection between the fixing frames and obtaining a third risk assessment value according to the change of the fixing frame connection data, judging whether to issue a third risk warning based on the obtained third risk assessment value, and the third risk assessment value is used to assess the probability of imbalance of the connection part of the fixing frame at the next moment; step five, generating a risk warning report based on the real-time monitoring data of the distribution network line during operation and visualizing it through a full-dimensional intelligent image monitoring all-in-one machine, and the real-time monitoring data includes risk warning results and risk hidden danger locations.

[0036] like Figure 2 As shown, it is a specific flow chart of risk assessment provided in an embodiment of the present application. It should be understood that, in the tower base structure of the distribution network line, the tightness of the tower base screw directly affects the sealing effect of the distribution network channel. If the tightness of the tower base screw is less than the tightness of the reference tower base screw, it indicates that there is a risk of moisture infiltration in the distribution network channel. Water leakage monitoring refers to measuring the tightness of the tower base screw in real time through the torque sensor deployed on the tower base screw fastener to determine whether there is a water leakage risk (that is, there is a water leakage risk when the tightness of the tower base screw is less than the tightness of the reference tower base screw), wherein the reference tower base screw tightness is represented by the sum and average of the maximum values ​​of the historical tower base screw tightness of the tower base in the preset database.

[0037] In a specific application scenario (such as during the inspection of distribution network overhead lines), the ambient temperature and humidity are monitored in real time through temperature and humidity sensors deployed at the distribution network channel monitoring points, the ambient haze concentration is measured in real time through a haze concentration monitor, the tightness of the tower base screws and the fixing screws are measured in real time through torque sensors deployed on the corresponding screw fasteners, the upward flip angle of the bevel steel, the downward flip angle of the bevel steel and the upward flip angle of the horizontal angle steel are measured in real time through an electronic angle measuring instrument deployed on the horizontal angle steel, and the vibration frequency and vibration speed are measured in real time through a vibration sensor deployed at the center of the fixed frame connection.

[0038] Specifically, the full-dimensional intelligent image monitoring integrated machine in this example is usually P6s (360° adjustable), where P6s adopts a three-channel video or prominent monitoring design, which can perform all-round monitoring of distribution network line channels and tower bases in different scenarios with one machine and multiple functions. The three channels include forward view (large side, with a 1600W+200W manual conditional combination lens installed to meet the manual adjustment of the field of view range from -30° to 30°), rear view (small side, with a 1600W fixed lens installed) and downward view (with a 120° tower base wide-angle lens installed), such as Figure 3 As shown, it is a schematic diagram of the P6s tower installation provided in an embodiment of the present application. Compared with the traditional ball camera lens, the wide-angle lens at the same installation height can obtain more detailed and comprehensive information about the surrounding of the tower base, angle steel information and fixed frame connection information, and can achieve full coverage monitoring of the visualization area of ​​the distribution network line without blind spots, thereby improving the accuracy and efficiency of risk assessment, and further improving the reliability of risk warning during the visualization monitoring of the distribution network line.

[0039] Further, the first risk assessment value is obtained by the following method: A1, obtaining the tightness of the tower base screw of the distribution network channel at the current moment (ie, J in the restriction expression of the first risk assessment value) i.t ) and determine whether it is not less than the reference tower base screw tightness. If so, execute A2. Otherwise, it indicates that there is a risk of water leakage in the tower base and prompts the operation and maintenance personnel to perform maintenance until the tightness of the tower base screw at the current moment is not less than the tightness of the reference tower base screw; A2, obtain the ambient temperature and ambient humidity of the distribution network channel at the current moment and combine the maximum allowable ambient temperature and the maximum allowable ambient humidity to obtain the ambient temperature score (that is, W in the limiting expression of the first risk assessment value). i.t ) and the ambient humidity fraction (i.e., S in the limiting expression of the first risk assessment value i.t ), the ambient temperature score is the ratio of the ambient temperature to the maximum allowable ambient temperature, and the ambient humidity score is the ratio of the ambient humidity to the maximum allowable ambient humidity; A3, the ambient haze concentration of the distribution network channel at the current moment is calculated by ratio calculation with the maximum allowable ambient haze concentration to obtain the ambient haze concentration score (i.e., the M in the restriction expression of the first risk assessment valuei.t ), and at the same time, the first risk assessment value is obtained by combining the environmental haze impact factor (i.e., a in the restricted expression of the first risk assessment value), where the environmental haze impact factor is used to reflect the degree of influence of water mist in the environmental haze on the environmental humidity.

[0040] Specifically, the specific limiting expression of the first risk assessment value is:

[0041]

[0042]

[0043]

[0044]

[0045] Where i is the number of the distribution network channel, i = 1, 2, ..., Y, Y is the total number of distribution network channels, t is the number at the current moment, t = 1, 2, ..., T, T is the total number at the current moment, e is a natural constant, YI i.t represents the first risk assessment value of the ith distribution channel in the distribution network at the current time t, J i.t represents the tightness of the tower base screw of the i-th distribution channel in the distribution network line at the current time t, J0 represents the reference tower base screw tightness, W i.t W1 represents the ambient temperature fraction of the i-th distribution channel in the distribution network at the current time t, max Indicates the maximum allowable ambient temperature, W1 i.t represents the ambient temperature of the ith distribution channel in the distribution network at the current time t, a represents the environmental haze impact factor, S i.t represents the ambient humidity fraction of the i-th distribution channel in the distribution network at the current time t, S1 max Indicates the maximum allowable ambient humidity, S1 i.t represents the ambient humidity of the ith distribution channel in the distribution network at the current time t, M i.t M1 represents the ambient haze concentration fraction of the i-th distribution channel in the distribution network at the current time t, i.t M1 represents the ambient haze concentration of the i-th distribution channel in the distribution network at the current time t, max Indicates the maximum allowable ambient haze concentration.

[0046] In this embodiment, the maximum allowable ambient temperature is represented by the maximum value of the historical ambient temperature of the environmental area where the distribution network channel is located in the preset database, the maximum allowable ambient humidity is represented by the maximum value of the historical ambient humidity of the environmental area where the distribution network channel is located in the preset database, and the maximum allowable ambient haze concentration is represented by the maximum value of the historical ambient haze concentration of the environmental area where the distribution network channel is located in the preset database.

[0047] Among them, the environmental haze impact factor is the impact factor corresponding to the environmental humidity acquisition process in the preset database, which indicates the numerical value corresponding to the degree of influence of the environmental haze concentration in the environmental area where the distribution network channel is located on the environmental humidity. When used, the environmental haze impact factor corresponding to the environmental haze concentration can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the environmental haze concentration corresponding to the environmental haze concentration in the environmental humidity acquisition process and the impact factor corresponding to the environmental haze concentration in the preset database form a mapping set, and the real-time environmental haze concentration is input into the mapping set to obtain the corresponding environmental haze impact factor, wherein the mapping relationship can be one-to-one or many-to-one. In this example, the value range of the environmental haze impact factor is 0,1.

[0048] Specifically, the statistical table of changes in the first risk assessment value is shown in Table 1:

[0049] Table 1 Statistics of changes in the first risk assessment value

[0050]

[0051]

[0052] It should be understood that, as can be seen from Table 1, the first risk assessment value (the smaller the better) decreases with the increase of the tightness of the tower base screw, and increases with the increase of the ambient temperature score, the ambient haze impact factor, the ambient humidity score and the ambient haze concentration score, among which the ambient temperature score increases with the increase of the ambient temperature, the ambient humidity score increases with the increase of the ambient humidity, and the ambient haze concentration score increases with the increase of the ambient haze concentration.

[0053] It should be noted that when the distribution network channel is in a closed space, the ambient temperature fraction also indirectly affects the value of the ambient humidity fraction. When the indoor ambient temperature rises, the corresponding water vapor content in the indoor air increases, which will reduce the heat conduction efficiency in the air (because water vapor is a poor conductor of heat). At this time, the indoor ambient humidity also increases (that is, when the ambient temperature fraction increases, the corresponding ambient humidity fraction also increases accordingly).

[0054] Compared with the prior art, this example introduces an environmental haze influencing factor to reflect the impact of environmental haze concentration on environmental humidity, thereby improving the accuracy of obtaining the first risk assessment value during the visual monitoring of the distribution network line, thereby achieving an improvement in the reliability of the first risk warning during the visual monitoring of the distribution network line, and effectively solving the problem of low reliability of risk warning during the visual monitoring of the distribution network line in the prior art.

[0055] Furthermore, the specific process of determining whether to issue a first risk warning based on the obtained first risk assessment value is as follows: determining whether the obtained first risk assessment value is within a first risk assessment threshold range (including being equal to the historical maximum first risk assessment value and the historical minimum first risk assessment value): If the obtained first risk assessment value is within the first risk assessment threshold range, it indicates that the water leakage risk status of the distribution network channel at the current moment is within an acceptable range, and no first risk warning is issued at this time; if the obtained first risk assessment value is not within the first risk assessment threshold range, it indicates that there is a water leakage risk in the distribution network channel at the current moment, and a first risk warning is issued at this time.

[0056] The first risk assessment threshold range represents a range corresponding to a historical maximum first risk assessment value and a historical minimum first risk assessment value in a preset database.

[0057] It should be added that the specific steps of the first risk warning are: sending the first warning information to the operation and maintenance personnel through the visual monitoring system and generating a water leakage risk handling report, while monitoring the water leakage risk handling process in real time; the first warning information includes the water leakage risk level and the water leakage risk location; the water leakage risk level includes the first water leakage risk and the second water leakage risk; the first water leakage risk indicates that the obtained first risk assessment value is greater than the historical maximum first risk assessment value; the second water leakage risk indicates that the obtained first risk assessment value is less than the historical minimum first risk assessment value.

[0058] In this embodiment, the historical maximum first risk assessment value is obtained by inputting relevant independent variables in the historical first risk assessment values ​​of the distribution network channel of the distribution line in the preset database (including the historical maximum value of the tightness of the tower base screw, the historical maximum value of the ambient temperature, the historical maximum value of the ambient humidity, and the historical maximum value of the ambient haze concentration) into the calculation formula of the first risk assessment value, and the historical minimum first risk assessment value is obtained by inputting relevant independent variables in the historical first risk assessment values ​​of the distribution network channel of the distribution line in the preset database (including the historical minimum value of the tightness of the tower base screw, the historical minimum value of the ambient temperature, the historical minimum value of the ambient humidity, and the historical minimum value of the ambient haze concentration) into the calculation formula of the first risk assessment value.

[0059] This example sets a precise first risk assessment threshold range. Once the risk assessment value exceeds the first risk assessment threshold range, a risk warning is immediately triggered, allowing operation and maintenance personnel to respond quickly and reduce the risk of water leakage. This achieves accurate early warning and timely response to the risk of water leakage in the distribution network channel, and improves the optimal allocation of operation and maintenance resources and the overall operational reliability of the distribution network lines.

[0060] Furthermore, the step of obtaining the second risk assessment value includes: B1, when the obtained first risk assessment value is within the first risk assessment threshold range, the horizontal angle steel flip angle of the angle steel in the distribution network channel at the current moment is obtained, and it is determined whether the horizontal angle steel flip angle is within the maximum allowable horizontal angle steel flip angle range (including the maximum and minimum values ​​of the historical horizontal angle steel flip angles). If so, the horizontal angle steel flip angle score is obtained in combination with the maximum allowable horizontal angle steel flip angle (that is, the horizontal angle steel flip angle score in the restriction expression of the second risk assessment value). ) and execute B2, otherwise it indicates that the wear degree of the angle steel does not meet the operation requirements and prompts the operation and maintenance personnel to perform maintenance; B2, obtain the angle steel upward turning angle and the angle steel downward turning angle of the angle steel in the distribution network channel at the current moment, and respectively calculate and process with the maximum allowable angle steel upward turning angle and the maximum allowable angle steel downward turning angle to obtain the angle steel upward turning angle score (that is, the angle steel upward turning angle score in the restriction expression of the second risk assessment value) ) and the angle score of the angled steel (i.e. the second risk assessment value in the limiting expression ); B3, obtain the preset angle steel angle weight factor from the preset database, and combine the obtained horizontal angle steel upturn angle score, the inclined angle steel upturn angle score, the inclined angle steel downturn angle score and the first risk assessment value (i.e., the YI in the restriction expression of the second risk assessment value) i.t ) obtains a second risk assessment value, wherein the angle steel angle weight factor includes the horizontal angle steel upward flip angle weight factor, the bevel angle steel upward flip angle weight factor and the bevel angle steel downward flip angle weight factor.

[0061] Specifically, the specific limiting expression of the second risk assessment value is:

[0062]

[0063]

[0064]

[0065]

[0066] Where i is the number of the distribution network channel, i = 1, 2, ..., Y, Y is the total number of distribution network channels, t is the number at the current moment, t = 1, 2, ..., T, T is the total number at the current moment, j is the number of the connection component type, j = 1, 2, j = 1 represents a bolt, j = 2 represents a nut, e is a natural constant, represents the second risk assessment value of the connection between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, YI i.t represents the first risk assessment value of the ith distribution channel in the distribution network at the current time t, ΔYI represents the first risk assessment threshold range, β1 represents the weight factor of the horizontal angle steel flip angle, It represents the upward angle score of the horizontal angle steel at the connection between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, ΔP1 represents the maximum allowable upward angle range of the horizontal angle steel, It represents the maximum allowable horizontal angle steel turning up angle at the connection between the hexagonal screw and the jth connecting component, represents the upward turning angle of the horizontal angle steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, β2 represents the weight factor of the upward turning angle of the angle steel, It represents the angle score of the angle steel at the connection between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t. It represents the maximum allowable bevel steel tilting angle at the connection between the hexagonal screw and the jth connecting component. represents the upward tilt angle of the angle steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, β3 represents the downward tilt angle weight factor of the angle steel, It represents the angle score of the angle steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t. It represents the maximum allowable angle of the bevel steel at the connection between the hexagonal screw and the jth connecting part. It represents the downward turning angle of the bevel steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t.

[0067] In this embodiment, the maximum allowable horizontal angle steel upward flip angle range represents the range corresponding to the maximum value (i.e., the maximum allowable horizontal angle steel upward flip angle) and the minimum value of the historical horizontal angle steel upward flip angle of the angle steel in the distribution network channel in the preset database, the maximum allowable bevel angle steel upward flip angle is represented by the maximum value of the historical bevel angle steel upward flip angle of the angle steel in the distribution network channel in the preset database, and the maximum allowable bevel angle steel downward flip angle is represented by the maximum value of the historical bevel angle steel downward flip angle of the angle steel in the distribution network channel in the preset database.

[0068] The weight factor of the horizontal angle steel flip angle is the corresponding weight factor in the process of obtaining the second risk assessment value in the preset database, which indicates the numerical value corresponding to the influence of the horizontal angle steel flip angle on the second risk assessment value. When used, the weight factor of the horizontal angle steel flip angle corresponding to the horizontal angle steel flip angle can be directly obtained from the preset database. The corresponding relationship can be a pre-set mapping relationship. For example, the horizontal angle steel flip angle corresponding to the horizontal angle steel flip angle in the process of obtaining the second risk assessment value and the weight factor corresponding to the horizontal angle steel flip angle in the preset database form a mapping set, and the real-time horizontal angle steel flip angle is input into the mapping set to obtain the corresponding horizontal angle steel flip angle weight factor, wherein the mapping relationship can be one-to-one or many-to-one. In this example, the value range of the weight factor of the horizontal angle steel flip angle is 0,1.

[0069] The weight factor of the bevel steel flip angle is the corresponding weight factor in the process of obtaining the second risk assessment value in the preset database, which represents the numerical value corresponding to the degree of influence of the bevel steel flip angle on the second risk assessment value. When used, the weight factor of the bevel steel flip angle corresponding to the bevel steel flip angle can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the bevel steel flip angle corresponding to the bevel steel flip angle in the process of obtaining the second risk assessment value and the weight factor corresponding to the bevel steel flip angle in the preset database form a mapping set, and the real-time bevel steel flip angle is input into the mapping set to obtain the corresponding bevel steel flip angle weight factor, wherein the mapping relationship can be one-to-one or many-to-one. In this example, the value range of the weight factor of the bevel steel flip angle is 0,1.

[0070] It should be noted that the sum of the weight factor of the upward turning angle of the horizontal angle steel, the weight factor of the upward turning angle of the bevel angle steel, and the weight factor of the downward turning angle of the bevel angle steel is 1.

[0071] like Figure 4 As shown, this is a specific example of the angle steel type provided in the embodiment of the present application. This example considers the influence of the changes in the upward flip angle of the horizontal angle steel, the upward flip angle of the bevel angle steel and the downward flip angle of the bevel angle steel on the connection between the hexagonal screw and the connecting component. When the angle data exceeds the allowable range, it can immediately trigger the early warning mechanism to provide timely maintenance guidance for the operation and maintenance personnel, effectively reduce the risk of distribution network failure caused by loose or damaged connections, and realize accurate assessment of the stability of the distribution network channel structure.

[0072] To simplify the analysis, we define Where, YI1 i.t represents the first risk assessment value coefficient of the connection between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, It represents the angle score of the angle steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t. The specific limiting expression of the simplified second risk assessment value is:

[0073] like Figure 5 As shown, it is a two-dimensional coordinate diagram of the second risk assessment value-first risk assessment value coefficient provided in the embodiment of the present application (at this time, the angle steel angle fraction is a fixed value of 0.8), by Figure 5 It can be seen that the second risk assessment value (the smaller the better) increases as the first risk assessment value coefficient increases, such as Figure 6 As shown, it is a two-dimensional coordinate diagram of the second risk assessment value-angle steel angle score provided in the embodiment of the present application (in this case, the first risk assessment value coefficient is a fixed value of 1.0), by Figure 6 It can be seen that the second risk assessment value increases with the increase of the angle score of the angle steel.

[0074] It should be noted that the upward flip angle of the horizontal angle steel also indirectly affects the value of the upward flip angle and the downward flip angle of the bevel angle steel. When the horizontal angle steel is flipped upward (when the upward flip angle of the horizontal angle steel increases), the upward flip part and the downward flip part of the bevel angle steel connected thereto may be stretched or compressed due to the displacement of the horizontal angle steel. Then, in order to maintain the stability of the structure, the upward flip part and the downward flip part of the bevel angle steel may reduce their angles accordingly to offset the upward flip angle of the horizontal angle steel, which helps to more comprehensively evaluate the structural stability of the distribution network channel, thereby improving the reliability of the second risk warning of the distribution network line during the visual monitoring process, and effectively solving the problem of low reliability of risk warning of the distribution network line during the visual monitoring process in the prior art.

[0075] Furthermore, the specific process of judging whether to issue a second risk warning based on the obtained second risk assessment value is as follows: judging whether the obtained second risk assessment value is within the second risk assessment threshold range (including being equal to the historical maximum second risk assessment value and the historical minimum second risk assessment value): if the obtained second risk assessment value is within the second risk assessment threshold range, it indicates that the connection between the hexagonal screw and the connecting component is in a normal working state at the current moment, and no second risk warning is issued at this time; if the obtained second risk assessment value is not within the second risk assessment threshold range, it indicates that the connection between the hexagonal screw and the connecting component is at risk of loosening at the current moment, and a second risk warning is issued at this time;

[0076] The second risk assessment threshold range represents the range corresponding to the historical maximum second risk assessment value and the historical minimum second risk assessment value in the preset database.

[0077] It should be added that the specific steps of the second risk warning are: sending the second warning information to the operation and maintenance personnel through the visual monitoring system and taking braking measures, and at the same time continuing to monitor the working status of the connection between the hexagonal screw and the connecting component according to the closed-loop feedback unit in the visual monitoring system; the second warning information is used to reflect the looseness level of the connection between the hexagonal screw and the connecting component; the looseness level includes a first looseness level and a second looseness level; the first looseness level indicates that the obtained second risk assessment value is greater than the historical maximum second risk assessment value; the second looseness level indicates that the obtained second risk assessment value is less than the historical minimum second risk assessment value; the closed-loop feedback unit is used to perform closed-loop management of the second risk warning according to changes in the angle steel data.

[0078] In this embodiment, the historical maximum second risk assessment value is obtained by inputting relevant independent variables in the historical second risk assessment values ​​of the connection between the hexagonal screw and the connecting component in the preset database (including the historical maximum first risk assessment value, the historical maximum value of the upward flip angle of the horizontal angle steel, the historical maximum value of the upward flip angle of the bevel angle steel, and the historical maximum value of the downward flip angle of the bevel angle steel) into the calculation formula of the second risk assessment value, and the historical minimum second risk assessment value is obtained by inputting relevant independent variables in the historical second risk assessment values ​​of the connection between the hexagonal screw and the connecting component in the preset database (including the historical minimum first risk assessment value, the historical minimum value of the upward flip angle of the horizontal angle steel, the historical minimum value of the upward flip angle of the bevel angle steel, and the historical minimum value of the downward flip angle of the bevel angle steel) into the calculation formula of the second risk assessment value.

[0079] This example uses visual monitoring to monitor the looseness of the connection between the hexagonal screws and the connecting parts, and quickly generates a second warning message to send to the operation and maintenance personnel. This immediacy ensures that the operation and maintenance personnel can quickly understand the equipment status. Secondly, by dividing the looseness degree into the first looseness degree and the second looseness degree, the operation and maintenance personnel can more clearly understand the severity of the looseness. In addition, through closed-loop feedback, the operation and maintenance personnel can collect a large amount of data on the looseness of the equipment. This data can be used to analyze the cause, frequency and trend of the looseness, which significantly improves the efficiency and safety of the distribution network line operation and maintenance management.

[0080] Further, the third risk assessment value is obtained by the following method: C1, when the obtained second risk assessment value is within the second risk assessment threshold range, the vibration frequency and vibration speed of the connection part of the fixing frame at the current moment are obtained and combined with the maximum allowable vibration frequency and the maximum allowable vibration speed to obtain the vibration frequency score (that is, Z in the restriction expression of the third risk assessment value) i.t ) and the vibration velocity score (i.e., D in the limiting expression of the third risk assessment value) i.t), the vibration frequency score is the ratio of the vibration frequency to the maximum value of the tightness of the first fixing screw, and the vibration speed score is the ratio of the vibration speed to the maximum allowable vibration speed; C2, obtain the tightness of the first fixing screw and the tightness of the second fixing screw and combine the maximum value of the tightness of the first fixing screw and the maximum value of the tightness of the second fixing screw to obtain the first tightness score (that is, U in the limiting expression of the third risk assessment value) i.t ) and the second tightness score (i.e., G in the limiting expression of the third risk assessment value) i.t ), and at the same time, the obtained vibration frequency score and vibration speed score are combined to obtain a third risk assessment value, the tightness of the first fixing screw is the tightness of the fixing screw at the upper end of the connection part of the fixing frame at the current moment, the tightness of the second fixing screw is the tightness of the fixing screw at the lower end of the connection part of the fixing frame at the current moment, the first tightness score is the ratio of the tightness of the first fixing screw to the maximum tightness of the first fixing screw, and the second tightness score is the ratio of the tightness of the second fixing screw to the maximum tightness of the second fixing screw.

[0081] Specifically, the specific limiting expression of the third risk assessment value is:

[0082]

[0083]

[0084]

[0085]

[0086]

[0087] Where i is the number of the distribution network channel, i = 1, 2, ..., Y, Y is the total number of distribution network channels, t is the number at the current moment, t = 1, 2, ..., T, T is the total number at the current moment, j is the number of the connection component type, j = 1, 2, j = 1 represents the angle steel tower slot, j = 2 represents the fixed bracket slot, e is a natural constant, SAN i.t represents the third risk assessment value of the connection part of the fixed frame in the i-th distribution network channel at the current time t, Z i.t represents the vibration frequency fraction of the connection part of the fixed frame in the i-th distribution network channel at the current time t, Z1 max Indicates the maximum allowable vibration frequency of the connection part of the fixed frame, Z1 i.t represents the vibration frequency of the connection part of the fixed frame in the i-th distribution network channel at the current time t, D i.t represents the vibration velocity fraction of the connection part of the fixed frame in the i-th distribution network channel at the current time t, D1 maxIndicates the maximum allowable vibration speed of the connection part of the fixed frame, D1 i.t represents the vibration velocity of the connection part of the fixed frame in the i-th distribution network channel at the current time t, U i.t U1 represents the first tightness score of the fixing screw at the upper end of the connection part of the fixing frame in the i-th distribution network channel at the current time t, i.t Indicates the tightness of the first fixing screw at the upper end of the connection part of the fixing frame in the i-th distribution network channel at the current time t, U1 max Indicates the maximum tightness of the first fixing screw corresponding to the fixing screw at the upper end of the connection part of the fixing frame, G i.t G1 represents the second tightness score of the fixing screw at the lower end of the connection part of the fixing frame in the i-th distribution network channel at the current time t, i.t G1 represents the tightness of the second fixing screw at the lower end of the connection part of the fixing frame in the i-th distribution network channel at the current time t, max Indicates the maximum tightness of the second fixing screw corresponding to the fixing screw at the lower end of the connection part of the fixing frame. represents the second risk assessment value of the connection between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, and ΔER represents the second risk assessment threshold range.

[0088] In this embodiment, the maximum allowable vibration frequency and the maximum allowable vibration speed are respectively represented by the maximum historical vibration frequency and the maximum historical vibration speed of the connection part of the fixing frame in the preset database, the maximum value of the first fixing screw tightness is represented by the maximum historical fixing screw tightness of the fixing screw at the upper end of the connection part of the fixing frame in the preset database, and the maximum value of the second fixing screw tightness is represented by the maximum historical fixing screw tightness of the fixing screw at the lower end of the connection part of the fixing frame in the preset database.

[0089] like Figure 7 As shown, it is a schematic diagram of the connection parts of the fixing bracket provided in an embodiment of the present application, including the fixing screws at the upper end and the fixing screws at the lower end, which helps the operation and maintenance personnel to intuitively understand the evaluation object and its key components. This example provides a comprehensive risk assessment for the connection parts of the fixing bracket by comprehensively considering the vibration frequency, vibration speed and tightness of the fixing screws, thereby improving the accuracy of the risk assessment.

[0090] It should be understood that the third risk assessment value (the smaller the better) increases with the increase of the vibration frequency score and the vibration velocity score, and decreases with the increase of the first tightness score and the second tightness score, wherein the vibration frequency score increases with the increase of the vibration frequency, the vibration velocity score increases with the increase of the vibration velocity, the first tightness score increases with the increase of the tightness of the first fixing screw (the larger the value, the tighter the fixing screw at the upper end of the connection part of the corresponding fixing frame), and the second tightness score increases with the increase of the tightness of the second fixing screw (the larger the value, the tighter the fixing screw at the lower end of the connection part of the corresponding fixing frame).

[0091] It should be noted that the tightness of the first fixing screw also indirectly affects the value of the tightness of the second fixing screw. When the tightness of the first fixing screw decreases, the support force on the upper fixing frame will be reduced, thereby increasing the stress on the lower fixing frame (i.e., the tightness of the second fixing screw increases). In the process of visual monitoring of distribution network lines, the above-mentioned indirect influence mechanism helps to improve the reliability of risk warning: when the first fixing screw begins to loosen, although it may not directly affect the safety of the line, it can predict possible risks by monitoring the changes in its tightness. This early warning helps operation and maintenance personnel to take timely measures, thereby improving the accuracy and efficiency of obtaining the third risk assessment value, thereby improving the reliability of the third risk warning in the process of visual monitoring of distribution network lines, and effectively solving the problem of low reliability of risk warning in the process of visual monitoring of distribution network lines in the prior art.

[0092] Furthermore, the specific process of determining whether to issue a third risk warning based on the acquired third risk assessment value is as follows: determining whether the acquired third risk assessment value is within a third risk assessment threshold range (including being equal to the historical maximum third risk assessment value and the historical minimum third risk assessment value): if the acquired third risk assessment value is within the third risk assessment threshold range, it indicates that the fixed frame is in a balanced state at the current moment, and no third risk warning is issued at this time; if the acquired third risk assessment value is not within the third risk assessment threshold range, it indicates that the fixed frame is at risk of imbalance at the current moment, and a third risk warning is issued at this time.

[0093] The third risk assessment threshold range represents the range corresponding to the historical maximum third risk assessment value and the historical minimum third risk assessment value in the preset database.

[0094] It should be added that the specific steps of the third risk warning are: sending the third warning information to the operation and maintenance personnel through the visual monitoring system and prompting the operation and maintenance personnel to take emergency measures, and at the same time monitoring the balance status of the fixed frame connection part after taking emergency measures in real time; the third warning information includes the imbalance risk level and the imbalance risk position of the fixed frame; the imbalance risk level includes the first imbalance risk and the second imbalance risk; the first imbalance risk indicates that the third risk assessment value obtained is greater than the historical maximum third risk assessment value; the second imbalance risk indicates that the third risk assessment value obtained is less than the historical minimum third risk assessment value; emergency measures include reinforcing the connection part and adjusting the operation method.

[0095] In this embodiment, the historical maximum third risk assessment value is obtained by inputting relevant independent variables in the historical third risk assessment values ​​of the connection parts of the fixed frame at historical moments in the preset database (including the historical maximum vibration frequency, the historical maximum vibration speed, the historical maximum value of the tightness of the fixing screws, and the historical maximum value of the tightness of the fixing screws) into the calculation formula of the historical third risk assessment value, and the historical minimum third risk assessment value is obtained by inputting relevant independent variables in the historical third risk assessment values ​​of the connection parts of the fixed frame at historical moments in the preset database (including the historical minimum vibration frequency, the historical minimum vibration speed, the historical minimum value of the tightness of the fixing screws, and the historical minimum value of the tightness of the fixing screws) into the calculation formula of the historical third risk assessment value.

[0096] It should be added that the risk warning report is used to reflect the risk situation of the distribution network line during operation; the risk warning results include the warning level, warning type and warning time; the warning level includes red warning and yellow warning; the red warning includes the first water leakage risk, the first looseness degree and the first imbalance risk; the yellow warning includes the second water leakage risk, the second looseness degree and the second imbalance risk; the warning types include water leakage risk warning, looseness risk warning and imbalance risk warning; the warning time includes water leakage risk warning time, looseness risk warning time and imbalance risk warning time; the risk hazard locations include water leakage risk location, hexagonal screw loosening risk location and fixed frame imbalance risk location.

[0097] Specifically, reinforcing the connection parts usually includes adding fixing screws and replacing fastening materials. The adjustment operation method usually involves adding distribution channels to the distribution network lines. After taking emergency measures, the visual monitoring system continues to monitor the balance state of the fixed frame connection parts in real time until the third risk assessment value obtained is within the third risk assessment threshold range. At this time, it indicates that the emergency measures are effective. According to the real-time monitoring results and the effects of the emergency measures, it helps to ensure the safe operation of the distribution network lines, thereby improving the reliability of risk warnings.

[0098] An electronic device provided in an embodiment of the present application includes a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered to execute a risk warning method for a distribution network visualization monitoring system.

[0099] To summarize, the embodiment of the present application obtains the distribution network channel environment data, angle steel data and fixed frame connection data of the distribution network line at the current moment, and then obtains the first risk assessment value, the second risk assessment value and the third risk assessment value according to the real-time operation status of the distribution network line and performs risk warning, and finally generates a risk warning report according to the acquired real-time monitoring data and visualizes it, thereby achieving a more accurate assessment of the real-time operation status of the distribution network line, and further achieving an improvement in the reliability of risk warnings during the visual monitoring of the distribution network line, effectively solving the problem of low reliability of risk warnings during the visual monitoring of the distribution network line in the prior art.

[0100] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0101] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0102] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0104] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0105] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A risk warning method for a distribution network visual monitoring system, characterized in that: The following steps are involved: Step 1: Obtain the distribution network channel environment data, angle steel data and fixed frame connection data of the distribution network line at the current moment; Step 2: monitor the distribution network channel for water leakage and obtain a first risk assessment value according to the change of the distribution network channel environmental data during the water leakage monitoring process, and determine whether to issue a first risk warning based on the obtained first risk assessment value, wherein the first risk assessment value is used to assess the probability of water leakage in the distribution network channel at the next moment; Step three, real-time monitoring of the deformation between the hexagonal screw and the connecting component and obtaining a second risk assessment value according to the change of the angle steel data, and judging whether to issue a second risk warning based on the obtained second risk assessment value, wherein the second risk assessment value is used to assess the probability of loosening of the connection between the hexagonal screw and the connecting component at the next moment; Step 4: monitor the connection status between the fixing frames in real time and obtain a third risk assessment value according to the change of the connection data of the fixing frames, and determine whether to issue a third risk warning based on the obtained third risk assessment value, wherein the third risk assessment value is used to assess the probability of imbalance of the connection part of the fixing frame at the next moment; Step 5: Generate a risk warning report based on the real-time monitoring data of the distribution network line during operation and visualize it through a full-dimensional intelligent image monitoring all-in-one machine. The real-time monitoring data includes risk warning results and risk potential locations.

2. The risk warning method for a distribution network visual monitoring system according to claim 1, characterized in that: The first risk assessment value is obtained by the following method: A1, obtain the tightness of the tower base screw of the distribution network channel at the current moment and determine whether it is not less than the reference tower base screw tightness. If so, execute A2, otherwise prompt the operation and maintenance personnel to perform maintenance until the tightness of the tower base screw at the current moment is not less than the reference tower base screw tightness; A2, obtaining the ambient temperature and ambient humidity of the distribution network channel at the current moment and combining the maximum allowable ambient temperature and the maximum allowable ambient humidity to obtain an ambient temperature score and an ambient humidity score, wherein the ambient temperature score is the ratio of the ambient temperature to the maximum allowable ambient temperature, and the ambient humidity score is the ratio of the ambient humidity to the maximum allowable ambient humidity; A3, performing a ratio calculation on the ambient haze concentration of the distribution network channel at the current moment and the maximum allowable ambient haze concentration to obtain an ambient haze concentration score, and combining the ambient haze impact factor to obtain a first risk assessment value, wherein the ambient haze impact factor is used to reflect the degree of influence of water mist in the ambient haze on ambient humidity.

3. The risk warning method for distribution network visual monitoring system according to claim 1, characterized in that: The specific process of determining whether to issue a first risk warning based on the acquired first risk assessment value is as follows: Determine whether the obtained first risk assessment value is within the first risk assessment threshold range: If the acquired first risk assessment value is within the first risk assessment threshold range, no first risk warning is issued; If the first risk assessment value obtained is not within the first risk assessment threshold range, a first risk warning is issued; The specific steps of the first risk warning are: The visual monitoring system sends the first warning information to the operation and maintenance personnel and generates a water leakage risk treatment report, while monitoring the water leakage risk treatment process in real time; The first warning information includes the water leakage risk level and the water leakage risk location; The water leakage risk levels include a first water leakage risk and a second water leakage risk.

4. The risk warning method for a distribution network visual monitoring system according to claim 1, characterized in that: The step of obtaining the second risk assessment value comprises: B1, obtain the horizontal angle steel flipping angle of the angle steel in the distribution network channel at the current moment, and determine whether the horizontal angle steel flipping angle is within the maximum allowable horizontal angle steel flipping angle range. If so, obtain the horizontal angle steel flipping angle score based on the maximum allowable horizontal angle steel flipping angle and execute B2, otherwise prompt the operation and maintenance personnel to perform maintenance; B2, obtaining the bevel steel upward turning angle and the bevel steel downward turning angle of the angle steel in the distribution network channel at the current moment, and performing calculations with the maximum allowable bevel steel upward turning angle and the maximum allowable bevel steel downward turning angle to obtain the bevel steel upward turning angle score and the bevel steel downward turning angle score respectively; B3, obtain a preset angle steel angle weight factor from a preset database, and combine the obtained horizontal angle steel upward flip angle score, bevel angle steel upward flip angle score, bevel angle steel downward flip angle score and the first risk assessment value to obtain a second risk assessment value, wherein the angle steel angle weight factor includes the horizontal angle steel upward flip angle weight factor, bevel angle steel upward flip angle weight factor and bevel angle steel downward flip angle weight factor.

5. The risk warning method for distribution network visual monitoring system according to claim 4, characterized in that: The specific limiting expression of the second risk assessment value is: Where i is the number of the distribution network channel, i = 1, 2, ..., Y, Y is the total number of distribution network channels, t is the number at the current moment, t = 1, 2, ..., T, T is the total number at the current moment, j is the number of the connection component type, j = 1, 2, j = 1 represents a bolt, j = 2 represents a nut, e is a natural constant, represents the second risk assessment value of the connection between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, YI i.t represents the first risk assessment value of the ith distribution channel in the distribution network at the current time t, ΔYI represents the first risk assessment threshold range, β1 represents the weight factor of the horizontal angle steel flip angle, It represents the upward angle score of the horizontal angle steel at the connection between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, ΔP1 represents the maximum allowable upward angle range of the horizontal angle steel, It represents the maximum allowable horizontal angle steel turning up angle at the connection between the hexagonal screw and the jth connecting component, represents the upward turning angle of the horizontal angle steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, β2 represents the weight factor of the upward turning angle of the angle steel, It represents the angle score of the bevel steel at the connection between the hexagonal screw corresponding to the angle steel in the i-th distribution channel and the j-th connecting component at the current time t. It represents the maximum allowable bevel steel tilting angle at the connection between the hexagonal screw and the jth connecting part. represents the upward tilt angle of the angle steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t, β3 represents the downward tilt angle weight factor of the angle steel, It represents the angle score of the angle steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t. It represents the maximum allowable angle of the bevel steel at the connection between the hexagonal screw and the jth connecting part. It represents the downward turning angle of the bevel steel at the connection point between the hexagonal screw corresponding to the angle steel in the i-th distribution network channel and the j-th connecting component at the current time t.

6. The risk warning method for distribution network visual monitoring system according to claim 1, characterized in that: The specific process of judging whether to issue a second risk warning based on the acquired second risk assessment value is as follows: Determine whether the obtained second risk assessment value is within the second risk assessment threshold range: If the acquired second risk assessment value is within the second risk assessment threshold range, no second risk warning is issued; If the acquired second risk assessment value is not within the second risk assessment threshold range, a second risk warning is issued; The specific steps of the second risk warning are: The second warning information is sent to the operation and maintenance personnel through the visual monitoring system and braking measures are taken. At the same time, the working status of the connection between the hexagonal screw and the connecting component is continuously monitored according to the closed-loop feedback unit in the visual monitoring system; The second warning information is used to reflect the degree of looseness of the connection between the hexagonal screw and the connection component; The looseness level comprises a first looseness level and a second looseness level; The closed-loop feedback unit is used to perform closed-loop management of the second risk warning according to changes in the angle steel data.

7. The risk warning method for distribution network visual monitoring system according to claim 1, characterized in that: The third risk assessment value is obtained by the following method: C1, obtaining the vibration frequency and vibration speed of the connection part of the fixing frame at the current moment and combining the maximum allowable vibration frequency and the maximum allowable vibration speed to obtain a vibration frequency score and a vibration speed score, wherein the vibration frequency score is the ratio of the vibration frequency to the maximum value of the tightness of the first fixing screw, and the vibration speed score is the ratio of the vibration speed to the maximum allowable vibration speed; C2, obtain the tightness of the first fixing screw and the second fixing screw and combine the maximum value of the tightness of the first fixing screw and the maximum value of the tightness of the second fixing screw to obtain a first tightness score and a second tightness score, and at the same time combine the obtained vibration frequency score and vibration speed score to obtain a third risk assessment value, the tightness of the first fixing screw is the tightness of the fixing screw at the upper end of the connection part of the fixing frame at the current moment, the tightness of the second fixing screw is the tightness of the fixing screw at the lower end of the connection part of the fixing frame at the current moment, the first tightness score is the ratio of the tightness of the first fixing screw to the maximum value of the tightness of the first fixing screw, and the second tightness score is the ratio of the tightness of the second fixing screw to the maximum value of the tightness of the second fixing screw.

8. The risk warning method for distribution network visual monitoring system according to claim 1, characterized in that: The specific process of determining whether to issue a third risk warning based on the obtained third risk assessment value is as follows: Determine whether the obtained third risk assessment value is within the third risk assessment threshold range: If the third risk assessment value obtained is within the third risk assessment threshold range, no third risk warning is issued; If the third risk assessment value obtained is not within the third risk assessment threshold range, a third risk warning is issued; The specific steps of the third risk warning are: The third warning information is sent to the operation and maintenance personnel through the visual monitoring system to prompt the operation and maintenance personnel to take emergency measures, and the balance state of the connection part of the fixed frame after the emergency measures are taken is monitored in real time; The third warning information includes the imbalance risk level and the imbalance risk position of the fixed frame; The imbalance risk level includes a first imbalance risk and a second imbalance risk; The emergency measures include reinforcing the connection parts and adjusting the working methods.

9. The risk warning method for distribution network visual monitoring system according to claim 1, characterized in that: The risk warning report is used to reflect the risk situation of the distribution network line during operation; The risk warning results include warning level, warning type and warning time; The warning types include water leakage risk warning, looseness risk warning and imbalance risk warning; The warning time includes water leakage risk warning time, looseness risk warning time and imbalance risk warning time; The risk hidden danger positions include water leakage risk positions, hexagonal screw loosening risk positions and fixing frame imbalance risk positions.

10. An electronic device, characterized in that: The electronic device includes a memory for storing computer program instructions and a processor for executing program instructions, wherein, when the computer program instructions are executed by the processor, the electronic device is triggered to execute the risk warning method for a distribution network visualization monitoring system as described in any one of claims 1-9.

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