Power transmission line crossing frame type selection method and system in different scenes

Abstract

The invention discloses a power transmission line crossing frame type selection method and system under different scenes, and the method comprises the steps: constructing a factor set which influences the application cost of a power transmission line crossing frame, screening out main factors from the factor set through employing an orthogonal experiment method, and calculating the application cost of employing different types of crossing frames at each crossing point in a power transmission line based on the main factors. And the spanning frame type with the minimum application cost is used as a preferable spanning frame type. According to the method, the spanning frame type adopted by each spanning point in the power transmission line is determined with the minimum application cost as the target, the economical efficiency of power transmission line spanning frame construction is guaranteed, meanwhile, the orthogonal experiment method is adopted for factor screening, analysis on each factor is more comprehensive and three-dimensional, and subsequent application cost calculation and equipment type selection results are more accurate.

Description

Technical Field

[0001] The present invention belongs to the field of transmission line construction selection, and in particular relates to a transmission line crossing frame selection method and system in different scenarios. Background Art

[0002] The mechanized construction of power transmission line projects is mainly applied to the main processes such as tower assembly and ground wire installation. However, there are few technical achievements and economic analysis on the mechanization of spanning frames, and the traditional spanning frames have great pressure on construction schedule and safety, and high economic cost. Therefore, it is urgent to conduct in-depth and comprehensive research on the economic technology of mobile spanning frames.

[0003] At present, the traditional domestic spanning technologies are mainly bamboo and wood scaffolding, steel pipe scaffolding, tower sealing nets, umbrella-shaped mobile spanning frames, etc. Among them, the umbrella-shaped mobile spanning frame has the characteristics of fast construction and no power outage, and is suitable for sections with convenient transportation; while for river network swamps and hilly terrains, umbrella-shaped mobile spanning frames and traditional spanning frames have their own advantages and disadvantages; for mountainous and high mountain terrains, transportation is often inconvenient and difficult to pass, and umbrella-shaped mobile spanning frames are difficult to reach. At present, traditional spanning frames are still widely used. For safety reasons, temporary power outages are often required. Its advantage is that it can be used to span lines with voltage levels of 35kv and above. In view of this, it is necessary to select spanning frames according to the specific scenarios of each crossing point of the transmission line to ensure the optimal economy of spanning frame construction. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for selecting a transmission line crossing frame in different scenarios in view of the above-mentioned problems existing in the prior art.

[0005] To achieve the above objectives, the technical solution of the present invention is as follows:

[0006] In a first aspect, the present invention proposes a method for selecting a transmission line crossing frame in different scenarios, including:

[0007] S1. Construct a set of factors that affect the operation cost of transmission line crossing racks, and use orthogonal experimental method to select the main factors from the set of factors;

[0008] S2. Calculate the operating costs of different types of crossing frames at each crossing point in the transmission line based on the main factors, and select the type of crossing frame with the lowest operating cost as the preferred type of crossing frame.

[0009] In S1, the orthogonal experimental method is used to screen out the main factors from the factor set, including:

[0010] S11. Based on the values ​​of each factor in the factor set, the test results of each level combination are calculated using the orthogonal experimental method, i.e., the operation cost of the spanning frame;

[0011] S12. Use the range analysis method or variance analysis method to calculate the significance of each factor, and select the factors that have a significant impact on the operating cost of the crossing rack as the main factors.

[0012] The significance of each factor calculated by the range analysis method includes:

[0013] First, calculate the sum of the test results of each factor at each level, and then calculate the significance of each factor based on the following formula:

[0014] R j =max{K ij}-min{K ij}

[0015] In the above formula, R j is the significance of the jth factor, K ij is the sum of the test results of the jth factor at the i-th level.

[0016] The variance analysis method is used to calculate the significance of each factor, including:

[0017] S121, calculate the total deviation square sum S based on the following formula T The sum of squares of deviations caused by experimental errors S e :

[0018]

[0019] S e =∑S 空白列

[0020] In the above formula, S j is the sum of squares of the deviations of the jth factor, n is the number of factors, m is the number of levels of each factor, t is the number of trials for each factor level, K ij is the sum of the test results of the jth factor at the i-th level, y i is the test result at the i-th level, S 空白列 Empty data means setting the influence of the factor to zero;

[0021] S122, calculate the error degrees of freedom df based on the following formula e :

[0022]

[0023] df T =mt1

[0024] df j =m1

[0025] In the above formula, df T For S T The corresponding degrees of freedom, dfj For S j The corresponding degrees of freedom,

[0026] S123, calculate the average deviation sum of squares based on the following formula:

[0027]

[0028]

[0029] In the above formula, MS j is the mean sum of squares of the jth factor, MS e is the mean sum of squares of experimental errors;

[0030] S124. Calculate the F value of each factor based on the following formula:

[0031]

[0032] In the above formula, F j is the F value of the jth factor;

[0033] S125, first find the critical value F from the F distribution table α =df j ,df e , and then compare F j and F α , if F j >F α , then it is determined that the jth factor has a significant impact on the test results.

[0034] In S1, the factor set includes frame height, span, transportation conditions, erection and dismantling time, bearing capacity, stability, corrosion resistance, service life, external environment, terrain, road requirements, power outage requirements, voltage level, safety performance, and environmental protection performance factors;

[0035] The operating cost of the crossing frame includes the construction cost of the crossing frame and the measures cost. The measures cost includes the compensation cost caused by safety measures across highways and railways, traffic management, and power outage losses across high-voltage lines.

[0036] In a second aspect, the present invention proposes a transmission line crossing frame selection system in different scenarios, including a factor set construction module, a factor screening module, and a crossing frame type optimization module;

[0037] The factor set building module is used to build a factor set that affects the operation cost of the transmission line crossing rack;

[0038] The factor screening module is used to screen out the main factors from the factor set by using the orthogonal experiment method;

[0039] The crossover type optimization module is used to calculate the operating costs of using different types of crossovers at each crossing point in the transmission line based on major factors, and to select the type of crossover with the lowest operating cost as the preferred type of crossover.

[0040] The factor screening module is used to screen out the main factors according to the following method:

[0041] First, based on the value of each factor in the factor set, the orthogonal experimental method is used to calculate the test results of each level combination, that is, the operating cost of the crossing rack. Then, the range analysis method or variance analysis method is used to calculate the significance of each factor, and the factors that have a significant impact on the operating cost of the crossing rack are selected as the main factors.

[0042] The significance of each factor calculated by the range analysis method includes:

[0043] First, calculate the sum of the test results of each factor at each level, and then calculate the significance of each factor based on the following formula:

[0044] R j =max{K ij}-min{K ij}

[0045] In the above formula, R j is the significance of the jth factor, K ij is the sum of the test results of the jth factor at the i-th level.

[0046] The variance analysis method is used to calculate the significance of each factor, including:

[0047] A. Calculate the total sum of squares of deviations S based on the following formula T The sum of squares of deviations caused by experimental errors S e :

[0048]

[0049] S e =∑S 空白列

[0050] In the above formula, S j is the sum of squares of the deviations of the jth factor, n is the number of factors, m is the number of levels of each factor, t is the number of trials for each factor level, K ij is the sum of the test results of the jth factor at the i-th level, y i is the test result at the i-th level, the sum of squares of deviations caused by the test error, S 空白列 Empty data means setting the influence of the factor to zero;

[0051] B. Calculate the error degrees of freedom df based on the following formula e :

[0052]

[0053] df T =mt-1

[0054] df j =m-1

[0055] In the above formula, df T For S T The corresponding degrees of freedom, df j For S j The corresponding degrees of freedom,

[0056] C. Calculate the average sum of squared deviations based on the following formula:

[0057]

[0058]

[0059] In the above formula, MS j is the mean sum of squares of the jth factor, MS e is the mean sum of squares of experimental errors;

[0060] D. Calculate the F value of each factor based on the following formula:

[0061]

[0062] In the above formula, F j is the F value of the jth factor;

[0063] E. First find the critical value F from the F distribution table α =df j ,df e , and then compare F j and F α , if F j >F α , then it is determined that the jth factor has a significant impact on the test results.

[0064] The factor set construction module is used to construct a factor set including frame height, span, transportation conditions, erection and dismantling time, bearing capacity, stability, corrosion resistance, service life, external environment, use terrain, road requirements, power outage requirements, voltage level, safety performance, and environmental protection performance factors;

[0065] The operating cost of the crossing frame includes the construction cost of the crossing frame and the measures cost. The measures cost includes the compensation cost caused by safety measures across highways and railways, traffic management, and power outage losses across high-voltage lines.

[0066] Compared with the prior art, the present invention has the following beneficial effects:

[0067] The present invention proposes a method for selecting a transmission line crossing frame under different scenarios. The method first constructs a factor set that affects the operation cost of the transmission line crossing frame, and uses the orthogonal experiment method to screen out the main factors from the factor set. Then, based on the main factors, the operation cost of using different types of crossing frames at each crossing point in the transmission line is calculated, and the type of crossing frame with the lowest operation cost is used as the preferred type of crossing frame. On the one hand, the method determines the type of crossing frame used at each crossing point in the transmission line with the minimum operation cost as the goal, thereby ensuring the economy of the construction of the transmission line crossing frame. On the other hand, the method uses the orthogonal experiment method to screen factors, and the analysis of each factor is more comprehensive and three-dimensional, so that the subsequent operation cost calculation and equipment selection results are more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 This is a flow chart of the method described in Example 1.

[0069] Figure 2 This is a structural diagram of the system described in Example 2. DETAILED DESCRIPTION

[0070] The present invention is further described in detail below in conjunction with specific implementations and drawings.

[0071] Considering that the weight analysis method only controls the influence of data through weights, the method is relatively simple, and there are many interferences from human factors in setting the weight coefficients; the finite element model method is a model established when the finite element analysis method is used. It is a group of unit combinations that are only connected at nodes, only transmit forces at nodes, and are only constrained at nodes. When the elastic modulus of the materials used in the model is very different (such as steel), the accuracy of the solution obtained by the finite element model method is low; and the orthogonal experimental method is to select some representative horizontal combinations from all horizontal combinations of experimental factors and test them, so as to analyze and understand the situation of the comprehensive test and find the best horizontal combination, which is consistent with the factors affecting the cost of the crossing frame, and can achieve comprehensive and three-dimensional analysis of various factors, and the results are more accurate. Therefore, the present invention selects the orthogonal experimental method for factor screening.

[0072] Embodiment 1:

[0073] This embodiment 1 takes 25 crossing points in 110kV and 220kV transmission lines in a certain province as the object, and provides a method for selecting a transmission line crossing frame in different scenarios, such as Figure 1 As shown, including:

[0074] 1. Construct a set of factors that affect the operating cost of transmission line crossing frames, which includes 15 factors, including frame height, crossing span, transportation conditions, erection and dismantling time, bearing capacity, stability, corrosion resistance, service life, external environment, terrain, road requirements, power outage requirements, voltage level, safety performance, and environmental protection performance.

[0075] 2. Based on the values ​​of each factor in the factor set, the orthogonal experimental method is used, with the basic data of relevant regulations and specifications, construction organization design and cost as the basis for compilation, and with reference to the existing pricing system, the test results of each level combination are calculated by theoretical review, research and collection, and quantity and price measurement, that is, the cost of the use of the crossing frame, including the construction cost of the crossing frame and the cost of measures. The cost of measures includes the compensation costs caused by the safety measures for crossing highways and railways, traffic arrangement, and the loss of power outage across high-voltage lines, as shown in Table 1:

[0076] Table 1 Details of the cost of using the crossing rack

[0077]

[0078] 3. Use the range analysis method or variance analysis method to calculate the significance of each factor, and select the factors that have a significant impact on the operation cost of the crossing rack as the main factors. Among them, the significance of each factor calculated by the range analysis method includes:

[0079] First, calculate the sum of the test results of each factor at each level, and then calculate the significance of each factor based on the following formula:

[0080] R j =max{K ij}-min{K ij}

[0081] In the above formula, R j is the significance of the jth factor, K ij is the sum of the test results of the jth factor at the i-th level.

[0082] The significance of each factor calculated by analysis of variance includes:

[0083] 3.1. Calculate the total deviation sum of squares S based on the following formula: T The sum of squares of deviations caused by experimental errors S e :

[0084]

[0085] S e =∑S 空白列

[0086] In the above formula, S jis the sum of squares of the deviations of the jth factor, n is the number of factors, m is the number of levels of each factor, t is the number of trials for each factor level, K ij is the sum of the test results of the jth factor at the i-th level, y i is the test result at the i-th level, S 空白列 Empty data means setting the influence of the factor to zero;

[0087] 3.2. Calculate the error degrees of freedom df based on the following formula: e :

[0088]

[0089] df T =mt-1

[0090] df j =m-1

[0091] In the above formula, df T For S T The corresponding degrees of freedom, df j For S j The corresponding degrees of freedom,

[0092] 3.3. Calculate the average sum of squared deviations based on the following formula:

[0093]

[0094]

[0095] In the above formula, MS j is the mean sum of squares of the jth factor, MS e is the mean sum of squares of experimental errors;

[0096] 3.4. Calculate the F value of each factor based on the following formula:

[0097]

[0098] In the above formula, F j is the F value of the jth factor;

[0099] 3.5. First find the critical value F from the F distribution table α =df j ,df e , and then compare F j and F α , if F j >F α , then it is determined that the jth factor has a significant impact on the test results.

[0100] 4. Calculate the operating costs of different types of crossing frames at each crossing point in the transmission line based on the main factors, and select the type of crossing frame with the lowest operating cost as the preferred type of crossing frame.

[0101] Embodiment 2:

[0102] like Figure 2 As shown, a transmission line crossing frame selection system under different scenarios includes a factor set construction module, a factor screening module, and a crossing frame type optimization module.

[0103] The factor set construction module is used to construct a factor set that affects the operating cost of the transmission line crossing frame. The factor set construction module is used to construct a factor set including frame height, crossing span, transportation conditions, erection and dismantling time, bearing capacity, stability, corrosion resistance, service life, external environment, usage terrain, road requirements, power outage requirements, voltage level, safety performance, and environmental protection performance factors; the operating cost of the crossing frame includes the construction cost of the crossing frame and the cost of measures. The cost of measures includes safety measures across highways and railways, compensation costs caused by traffic management, and power outage losses across high-voltage lines.

[0104] The factor screening module is used to screen out the main factors from the factor set by using the orthogonal experimental method according to the following method:

[0105] First, based on the values ​​of each factor in the factor set, the orthogonal experimental method is used to calculate the test results of each level combination, that is, the operation cost of the crossing rack. Then, the range analysis method or variance analysis method is used to calculate the significance of each factor, and the factors that have a significant impact on the operation cost of the crossing rack are selected as the main factors. Among them, the significance of each factor calculated by the range analysis method includes:

[0106] First, calculate the sum of the test results of each factor at each level, and then calculate the significance of each factor based on the following formula:

[0107] R j =max{K ij}-min{K ij}

[0108] In the above formula, R j is the significance of the jth factor, K ij is the sum of the test results of the jth factor at the i-th level;

[0109] The significance of each factor calculated by analysis of variance includes:

[0110] A. Calculate the total sum of squares of deviations S based on the following formula T The sum of squares of deviations caused by experimental errors S e :

[0111]

[0112] S e =∑S 空白列

[0113] In the above formula, S j is the sum of squares of the deviations of the jth factor, n is the number of factors, m is the number of levels of each factor, t is the number of trials for each factor level, K ij is the sum of the test results of the jth factor at the i-th level, y i is the test result at the i-th level, the sum of squares of deviations caused by the test error, S 空白列 Empty data means setting the influence of the factor to zero;

[0114] B. Calculate the error degrees of freedom df based on the following formula e :

[0115]

[0116] df T =mt-1

[0117]

[0118] In the above formula, df T For S T The corresponding degrees of freedom, df j For S j The corresponding degrees of freedom,

[0119] C. Calculate the average sum of squared deviations based on the following formula:

[0120]

[0121]

[0122] In the above formula, MS j is the mean sum of squares of the jth factor, MS e is the mean sum of squares of experimental errors;

[0123] D. Calculate the F value of each factor based on the following formula:

[0124]

[0125] In the above formula, F j is the F value of the jth factor;

[0126] E. First find the critical value F from the F distribution table α =df j ,df e , and then compare F j and F α , if Fj >F α , then it is determined that the jth factor has a significant impact on the test results.

[0127] The crossover type optimization module is used to calculate the operating costs of using different types of crossovers at each crossing point in the transmission line based on major factors, and to select the type of crossover with the lowest operating cost as the preferred type of crossover.

Claims

1. A method for selecting a transmission line crossing frame in different scenarios, characterized in that: The method comprises: S1. Construct a set of factors that affect the operation cost of transmission line crossing racks, and use orthogonal experimental method to select the main factors from the set of factors; S2. Calculate the operating costs of different types of crossing frames at each crossing point in the transmission line based on the main factors, and select the type of crossing frame with the lowest operating cost as the preferred type of crossing frame.

2. According to a method for selecting a transmission line crossing frame in different scenarios according to claim 1, it is characterized in that: In S1, the orthogonal experimental method is used to screen out the main factors from the factor set, including: S11. Based on the values ​​of each factor in the factor set, the test results of each level combination are calculated using the orthogonal experimental method, i.e., the operation cost of the spanning frame; S12. Use the range analysis method or variance analysis method to calculate the significance of each factor, and select the factors that have a significant impact on the operating cost of the crossing rack as the main factors.

3. The method for selecting a transmission line crossing frame in different scenarios according to claim 2 is characterized in that: The significance of each factor calculated by the range analysis method includes: First, calculate the sum of the test results of each factor at each level, and then calculate the significance of each factor based on the following formula: R j =max{K ij }-mink ij } In the above formula, R j is the significance of the jth factor, K ij is the sum of the test results of the jth factor at the i-th level.

4. The method for selecting a transmission line crossing frame in different scenarios according to claim 2 is characterized in that: The variance analysis method is used to calculate the significance of each factor, including: S121, calculate the total deviation square sum S based on the following formula T The sum of squares of deviations caused by experimental errors S e : S e =∑S 空白列 In the above formula, S j is the sum of squares of the deviations of the jth factor, n is the number of factors, m is the number of levels of each factor, t is the number of trials for each factor level, K ij is the sum of the test results of the jth factor at the i-th level, y i is the test result at the i-th level, S 空白列 Empty data means setting the influence of the factor to zero; S122, calculate the error degrees of freedom df based on the following formula e : df T =mt1 df j =m1 In the above formula, df T For S T The corresponding degrees of freedom, df j For S j The corresponding degrees of freedom, S123, calculate the average deviation sum of squares based on the following formula: In the above formula, MS j is the mean sum of squares of the jth factor, MS e is the mean sum of squares of experimental errors; S124. Calculate the F value of each factor based on the following formula: In the above formula, F j is the F value of the jth factor; S125, first find the critical value F from the F distribution table α =df j ,df e , and then compare F j and F α , if F j >F α , then it is determined that the jth factor has a significant impact on the test results.

5. The method for selecting a transmission line crossing frame in different scenarios according to claim 2 is characterized in that: In S1, the factor set includes frame height, span, transportation conditions, erection and dismantling time, bearing capacity, stability, corrosion resistance, service life, external environment, terrain, road requirements, power outage requirements, voltage level, safety performance, and environmental protection performance factors; The operating cost of the crossing frame includes the construction cost of the crossing frame and the measures cost. The measures cost includes the compensation cost caused by safety measures across highways and railways, traffic management, and power outage losses across high-voltage lines.

6. A transmission line crossing frame selection system in different scenarios, characterized in that: The system includes a factor set construction module, a factor screening module, and a spanning frame type optimization module; The factor set building module is used to build a factor set that affects the operation cost of the transmission line crossing rack; The factor screening module is used to screen out the main factors from the factor set by using the orthogonal experiment method; The crossover type optimization module is used to calculate the operating costs of using different types of crossovers at each crossing point in the transmission line based on major factors, and to select the type of crossover with the lowest operating cost as the preferred type of crossover.

7. The system for selecting transmission line crossing frames in different scenarios according to claim 6 is characterized in that: The factor screening module is used to screen out the main factors according to the following method: First, based on the value of each factor in the factor set, the orthogonal experimental method is used to calculate the test results of each level combination, that is, the operating cost of the crossing rack. Then, the range analysis method or variance analysis method is used to calculate the significance of each factor, and the factors that have a significant impact on the operating cost of the crossing rack are selected as the main factors.

8. The system for selecting transmission line crossing frames in different scenarios according to claim 7 is characterized in that: The significance of each factor calculated by the range analysis method includes: First, calculate the sum of the test results of each factor at each level, and then calculate the significance of each factor based on the following formula: R j =max{K ij }-mink ij } In the above formula, R j is the significance of the jth factor, K ij is the sum of the test results of the jth factor at the i-th level.

9. The system for selecting transmission line crossing frames in different scenarios according to claim 7, characterized in that: The variance analysis method is used to calculate the significance of each factor, including: A. Calculate the total sum of squares S based on the following formula T The sum of squares of deviations caused by experimental errors S e : S e =∑S 空白列 In the above formula, S j is the sum of squares of the deviations of the jth factor, n is the number of factors, m is the number of levels of each factor, t is the number of trials for each factor level, K ij is the sum of the test results of the jth factor at the i-th level, y i is the test result at the i-th level, the sum of squares of deviations caused by the test error, S 空白列 Empty data means setting the influence of the factor to zero; B. Calculate the error degrees of freedom df based on the following formula e : df T =mt-1 df j =m-1 In the above formula, df T For S T The corresponding degrees of freedom, df j For S j The corresponding degrees of freedom, C. Calculate the average sum of squared deviations based on the following formula: In the above formula, MS j is the mean sum of squares of the jth factor, MS e is the mean sum of squares of experimental errors; D. Calculate the F value of each factor based on the following formula: In the above formula, F j is the F value of the jth factor; E. First find the critical value F from the F distribution table α =df j ,df e , and then compare F j and F α , if F j >F α , then it is determined that the jth factor has a significant impact on the test results.

10. A transmission line crossing frame selection system in different scenarios according to any one of claims 6 to 9, characterized in that: The factor set construction module is used to construct a factor set including frame height, span, transportation conditions, erection and dismantling time, bearing capacity, stability, corrosion resistance, service life, external environment, use terrain, road requirements, power outage requirements, voltage level, safety performance, and environmental protection performance factors; The operating cost of the crossing frame includes the construction cost of the crossing frame and the measures cost. The measures cost includes the compensation cost caused by safety measures across highways and railways, traffic management, and power outage losses across high-voltage lines.

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