A construction evaluation method for the concrete foundation of a photovoltaic power station

Abstract

The present application discloses a construction evaluation method for the concrete foundation of a photovoltaic power station, including: obtaining the construction process of the concrete foundation of the photovoltaic power station, dividing the construction process into construction evaluation nodes and screening characteristic construction data; based on the characteristic construction data, setting evaluation indicators for each construction evaluation node, generating a first construction evaluation value corresponding to the evaluation indicator according to the preset construction data, and generating a comprehensive evaluation value according to multiple first construction evaluation values; judging whether the preset construction data meets the construction requirements according to the comprehensive evaluation value. If it meets, construct according to the preset construction data. If it does not meet, correct the preset construction data, divide multiple construction evaluation nodes and set evaluation indicators, generate a comprehensive evaluation value according to the relationship between the preset construction data and the evaluation indicators, judge whether the preset construction data meets the construction requirements according to the comprehensive evaluation value, accurately predict the construction quality without affecting the construction progress, and improve the construction efficiency.

Description

Technical Field

[0001] This application relates to the technical field of construction evaluation, and particularly to a construction evaluation method for the concrete foundation of a photovoltaic power station. Background Art

[0002] With the rapid development of the photovoltaic industry, photovoltaic power generation has become one of the mainstream clean energies. During the construction of photovoltaic infrastructure, the use of concrete is inevitable. However, due to the special nature of photovoltaic power generation, there are clear requirements for the strength and quality of concrete. The construction of the concrete foundation of a photovoltaic power station is a very important part of building construction. The correct construction plan and method can ensure the stability and durability of the foundation, which is crucial for the overall structure of the building. Therefore, the construction evaluation of the concrete foundation is also of great importance.

[0003] In the prior art, the traditional construction evaluation method mainly involves manual inspection by technicians during the construction of the concrete foundation. However, there are many construction evaluation indicators for the concrete foundation, and the amount of construction data corresponding to each construction evaluation indicator is large. The construction quality of individual inspection points cannot represent the overall construction quality of the concrete foundation. At the same time, it will also occupy construction time and reduce construction efficiency. Summary of the Invention

[0004] To solve the above technical problems, this application provides a construction evaluation method for the concrete foundation of a photovoltaic power station. By dividing the construction process into multiple construction evaluation nodes, obtaining the characteristic construction data of each construction evaluation node and setting multiple evaluation indicators, generating a comprehensive evaluation value according to the relationship between the preset construction data and the evaluation indicators, judging whether the preset construction data meets the construction requirements according to the comprehensive evaluation value. If it does not meet, correct the preset construction data. If it meets, carry out construction according to the preset construction data, accurately predicting the construction quality and improving the construction efficiency without affecting the construction progress.

[0005] In some embodiments of this application, a construction evaluation method for the concrete foundation of a photovoltaic power station is provided, including:

[0006] Obtain the construction process of the concrete foundation of the photovoltaic power station, divide the construction process into construction evaluation nodes and screen the characteristic construction data of each construction evaluation node;

[0007] Based on the characteristic construction data, set the evaluation indicators for each construction evaluation node, generate the first construction evaluation value corresponding to the evaluation indicators according to the preset construction data, and generate a comprehensive evaluation value according to multiple first construction evaluation values;

[0008] Judge whether the preset construction data meets the construction requirements according to the comprehensive evaluation value. If it meets, carry out construction according to the preset construction data. If it does not meet, correct the preset construction data.

[0009] In some embodiments of the present application, the construction process is divided into construction evaluation nodes, and the characteristic construction data of each construction evaluation node is screened, including:

[0010] Obtain the construction process of the concrete foundation of the photovoltaic power station, and set the construction process as the main construction process and the secondary construction process;

[0011] Calculate the influence coefficient of each construction process on the next adjacent construction process. If the influence coefficient is greater than the preset influence coefficient threshold, set a construction evaluation node between the current construction process and the next adjacent construction process;

[0012] Calculate the first utilization coefficient of the historical construction data in each construction evaluation node for the main construction process in the corresponding construction evaluation node and the second utilization coefficient for the secondary construction process, and determine the comprehensive utilization coefficient of the historical construction data according to the first utilization coefficient and the second utilization coefficient;

[0013] ;

[0014] Wherein, K is the comprehensive utilization coefficient, a1 is the weight coefficient of the first utilization coefficient, a2 is the weight coefficient of the second utilization coefficient, and a1 + a2 = 1, n is the number of main construction processes in the construction evaluation node, is the first utilization coefficient of the jth historical construction data for the ith main construction process, i = 1, 2,... n, e1i is the importance coefficient of the ith main construction process, r is the number of secondary construction processes in the construction evaluation node, is the second utilization coefficient of the jth historical construction data for the sth secondary construction process, s = 0, 1,... r, e2s is the importance coefficient of the sth secondary construction process;

[0015] Screen out the historical construction data with a comprehensive utilization coefficient greater than the preset utilization coefficient threshold, and set it as the characteristic construction data of the corresponding construction evaluation node.

[0016] In some embodiments of the present application, based on the characteristic construction data, evaluation indicators for each construction evaluation node are set, including:

[0017] Preset a preset evaluation index sequence Y, Y(y1, y2,... yq), where q is the total number of preset evaluation indicators, and yf is the fth preset evaluation indicator, f = 1, 2,... q;

[0018] Calculate the correlation coefficient between the characteristic construction data and the fth preset evaluation indicator yf. If the correlation coefficient is greater than the preset correlation coefficient threshold, it is determined that the fth preset evaluation indicator yf is the evaluation indicator of the current characteristic construction data corresponding to the construction evaluation node;

[0019] If the correlation coefficient between each characteristic construction data in the construction evaluation node and the f-th preset evaluation index yf is less than the preset correlation coefficient threshold, it is determined that the f-th preset evaluation index yf is not the evaluation index of the current construction evaluation node, and the corresponding f-th preset evaluation index yf is removed. An evaluation index sequence of the current construction evaluation node is generated according to the preset evaluation index sequence after removal.

[0020] In some embodiments of the present application, generating a first construction evaluation value corresponding to an evaluation index according to preset construction data includes:

[0021] Obtain the evaluation indexes in the evaluation index sequence of the construction evaluation node and the preset construction data corresponding to each evaluation index, compare the preset construction data with the standard construction data interval to obtain a deviation value, and set the first construction evaluation value corresponding to the evaluation index according to the deviation value;

[0022] Preset a first preset deviation value interval, a second preset deviation value interval, a third preset deviation value interval, and a fourth preset deviation value interval in advance;

[0023] When the deviation value is in the first preset deviation value interval, set the first construction evaluation value w as the fourth preset construction evaluation value w4, that is, w = w4;

[0024] When the deviation value is in the second preset deviation value interval, set the first construction evaluation value w as the third preset construction evaluation value w3, that is, w = w3;

[0025] When the deviation value is in the third preset deviation value interval, set the first construction evaluation value w as the second preset construction evaluation value w2, that is, w = w2;

[0026] When the deviation value is in the fourth preset deviation value interval, set the first construction evaluation value w as the first preset construction evaluation value w1, that is, w = w1;

[0027] Among them, w1 < w2 < w3 < w4.

[0028] In some embodiments of the present application, generating a comprehensive evaluation value according to multiple first construction evaluation values includes:

[0029] Generate a second construction evaluation value for each construction evaluation node according to the weight coefficient of the evaluation index in the evaluation index sequence of each construction evaluation node and the first construction evaluation value;

[0030] Generate a comprehensive evaluation value G according to the weight coefficient of each construction evaluation node and the second construction evaluation value;

[0031] ;

[0032] Wherein, o is the number of construction evaluation nodes, tz is the second construction evaluation value of the z-th construction evaluation node, and iz is the weight coefficient of the z-th construction evaluation node.

[0033] In some embodiments of the present application, preset construction information of preset construction data is obtained, wherein the preset construction information includes a preset construction period and a preset construction cost;

[0034] Compare the preset construction period of each construction evaluation node with the standard construction period to obtain a first comparison result, and perform amplitude on the first comparison result to obtain a first evaluation coefficient p1. Compare the preset construction cost of each construction evaluation node with the standard construction cost to obtain a second comparison result, and perform amplitude on the second comparison result to obtain a second evaluation coefficient p2;

[0035] Generate a comprehensive evaluation coefficient p0 based on the first evaluation coefficient p1 and the second evaluation coefficient p2;

[0036] Set a compensation coefficient m according to the comprehensive evaluation coefficient p0;

[0037] Correct the comprehensive evaluation value according to the compensation coefficient m to obtain a corrected comprehensive evaluation value m*G;

[0038] Judge whether the preset construction data meets the construction requirements according to the corrected comprehensive evaluation value.

[0039] In some embodiments of the present application, setting the compensation coefficient m according to the comprehensive evaluation coefficient p0 includes:

[0040] Preset a first preset evaluation coefficient interval, a second preset evaluation coefficient interval, a third preset evaluation coefficient interval, and a fourth preset evaluation coefficient interval in advance;

[0041] When the comprehensive evaluation coefficient p0 is within the first preset evaluation coefficient interval, set the compensation coefficient m as the first preset compensation coefficient m1, that is, m = m1;

[0042] When the comprehensive evaluation coefficient p0 is within the second preset evaluation coefficient interval, set the compensation coefficient m as the second preset compensation coefficient m2, that is, m = m2;

[0043] When the comprehensive evaluation coefficient p0 is within the third preset evaluation coefficient interval, set the compensation coefficient m as the third preset compensation coefficient m3, that is, m = m3;

[0044] When the comprehensive evaluation coefficient p0 is within the fourth preset evaluation coefficient interval, set the compensation coefficient m as the fourth preset compensation coefficient m4, that is, m = m4;

[0045] Among them, 0.75 < m1 < m2 < 1 < m3 < m4 < 1.25, the first preset evaluation coefficient interval < the second preset evaluation coefficient interval < the third preset evaluation coefficient interval < the fourth preset evaluation coefficient interval.

[0046] In some embodiments of the present application, judging whether the preset construction data meets the construction requirements according to the comprehensive evaluation value includes:

[0047] Generating standard construction data and standard construction information according to the construction requirements, and generating an evaluation value threshold according to the standard construction data and the standard construction information;

[0048] If the corrected comprehensive evaluation value is less than the evaluation value threshold, it is determined that the preset construction data does not meet the construction requirements;

[0049] If the corrected comprehensive evaluation value is greater than the evaluation value threshold, it is determined that the preset construction data meets the construction requirements.

[0050] In some embodiments of the present application, correcting the preset construction data includes:

[0051] Analyzing the evaluation indicators in the evaluation indicator sequence of the same construction evaluation node and the first construction evaluation value corresponding to the evaluation indicators, comparing the first construction evaluation value with the preset construction evaluation value threshold, and screening out the first construction evaluation value less than the preset construction evaluation value threshold and the corresponding evaluation indicators according to the comparison result;

[0052] Generating a comprehensive influence degree according to the first influence degree of the remaining evaluation indicators in the same construction evaluation node and the second influence degree on different construction evaluation nodes of the screened evaluation indicators;

[0053] Setting the correction order of the screened evaluation indicators according to the comprehensive influence degree of the screened evaluation indicators, and correcting the screened evaluation indicators and the preset construction data of the evaluation indicators according to the correction order.

[0054] A construction evaluation method for a concrete foundation of a photovoltaic power station according to an embodiment of the present application, compared with the prior art, its beneficial effects are as follows:

[0055] By dividing the construction process into multiple construction evaluation nodes, obtaining the characteristic construction data of each construction evaluation node and setting multiple evaluation indicators, generating a comprehensive evaluation value according to the relationship between the preset construction data and the evaluation indicators, judging whether the preset construction data meets the construction requirements according to the comprehensive evaluation value, if not, correcting the preset construction data, if so, constructing according to the preset construction data, accurately predicting the construction quality and improving the construction efficiency without affecting the construction progress. Description of the Drawings

[0056] Figure 1It is a schematic diagram of a construction evaluation method for a concrete foundation of a photovoltaic power station in a preferred embodiment of the embodiment of the present application. Detailed implementation manners

[0057] The following combines the accompanying drawings and embodiments to further describe in detail the detailed implementation manners of the present application. The following embodiments are used to illustrate the present application, but are not used to limit the scope of the present application.

[0058] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present application.

[0059] The terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0060] In the description of the present application, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected", "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected, or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific situations.

[0061] As Figure 1 shown, a construction evaluation method for a concrete foundation of a photovoltaic power station in a preferred embodiment of the embodiment of the present application includes:

[0062] Step S101: Obtain the construction process of the concrete foundation of the photovoltaic power station, divide the construction process into construction evaluation nodes, and screen the characteristic construction data of each construction evaluation node;

[0063] Step S102: Based on the characteristic construction data, set the evaluation index of each construction evaluation node, generate the first construction evaluation value corresponding to the evaluation index according to the preset construction data, and generate a comprehensive evaluation value according to multiple first construction evaluation values;

[0064] Step S103: Determine whether the preset construction data meets the construction requirements according to the comprehensive evaluation value. If it meets the requirements, perform construction according to the preset construction data. If it does not meet the requirements, correct the preset construction data.

[0065] In some embodiments of the present application, the construction process is divided into construction evaluation nodes, and the characteristic construction data of each construction evaluation node is screened, including:

[0066] Obtain the construction process of the concrete foundation of the photovoltaic power station, and set the construction process as the main construction process and the secondary construction process;

[0067] Calculate the influence coefficient of each construction process on the next adjacent construction process. If the influence coefficient is greater than the preset influence coefficient threshold, set a construction evaluation node between the current construction process and the next adjacent construction process;

[0068] Calculate the first utilization coefficient of the historical construction data in each construction evaluation node for the main construction process in the corresponding construction evaluation node and the second utilization coefficient for the secondary construction process, and determine the comprehensive utilization coefficient of the historical construction data according to the first utilization coefficient and the second utilization coefficient;

[0069] ;

[0070] where K is the comprehensive utilization coefficient, a1 is the weight coefficient of the first utilization coefficient, a2 is the weight coefficient of the second utilization coefficient, and a1 + a2 = 1, n is the number of main construction processes in the construction evaluation node, is the first utilization coefficient of the jth historical construction data for the ith main construction process, i = 1, 2,... n, e1i is the importance coefficient of the ith main construction process, r is the number of secondary construction processes in the construction evaluation node, is the second utilization coefficient of the jth historical construction data for the sth secondary construction process, s = 0, 1,... r, e2s is the importance coefficient of the sth secondary construction process;

[0071] Screen out the historical construction data with a comprehensive utilization coefficient greater than the preset utilization coefficient threshold, and set it as the characteristic construction data of the corresponding construction evaluation node.

[0072] In this embodiment, the multiple construction processes of the concrete foundation are divided into construction evaluation nodes, and it is judged whether to set a construction evaluation node according to the influence coefficient of the construction process on the next adjacent construction process. The influence coefficient refers to the degree of influence of the completion quality of the construction process on the next adjacent construction process. For example, if the construction process is land treatment and the next adjacent construction process is foundation pit excavation, the completion quality of removing sundries and poor soil quality in the land treatment process directly affects the construction quality of the foundation pit, so a construction evaluation node is set between the land treatment process and the foundation pit excavation process.

[0073] In this embodiment, by setting multiple construction evaluation nodes and screening out the characteristic construction data of the construction evaluation nodes, a data foundation is laid for accurately predicting the construction completion quality and the service life of the concrete foundation in the subsequent stage, greatly improving the construction efficiency of the concrete foundation of the photovoltaic power station.

[0074] In some embodiments of the present application, based on the characteristic construction data, evaluation indexes for each construction evaluation node are set, including:

[0075] A preset evaluation index sequence Y, Y(y1, y2,... yq) is preset, where q is the total number of preset evaluation indexes, and yf is the f-th preset evaluation index, f = 1, 2,... q;

[0076] Calculate the correlation coefficient between the characteristic construction data and the f-th preset evaluation index yf. If the correlation coefficient is greater than the preset correlation coefficient threshold, it is determined that the f-th preset evaluation index yf is the evaluation index of the construction evaluation node corresponding to the current characteristic construction data;

[0077] If the correlation coefficient between each characteristic construction data in the construction evaluation node and the f-th preset evaluation index yf is less than the preset correlation coefficient threshold, it is determined that the f-th preset evaluation index yf is not the evaluation index of the current construction evaluation node, and the corresponding f-th preset evaluation index yf is excluded, and an evaluation index sequence of the current construction evaluation node is generated according to the excluded preset evaluation index sequence.

[0078] In some embodiments of the present application, a first construction evaluation value corresponding to the evaluation index is generated according to the preset construction data, including:

[0079] Obtain the evaluation indexes in the evaluation index sequence of the construction evaluation node and the preset construction data corresponding to each evaluation index, compare the preset construction data with the standard construction data interval to obtain a deviation value, and set the first construction evaluation value corresponding to the evaluation index according to the deviation value;

[0080] A first preset deviation value interval, a second preset deviation value interval, a third preset deviation value interval, and a fourth preset deviation value interval are preset;

[0081] When the deviation value is within the first preset deviation value interval, set the first construction evaluation value w as the fourth preset construction evaluation value w4, that is, w = w4;

[0082] When the deviation value is within the second preset deviation value interval, set the first construction evaluation value w as the third preset construction evaluation value w3, that is, w = w3;

[0083] When the deviation value is within the third preset deviation value range, set the first construction evaluation value w to the second preset construction evaluation value w2, that is, w = w2;

[0084] When the deviation value is within the fourth preset deviation value range, set the first construction evaluation value w to the first preset construction evaluation value w1, that is, w = w1;

[0085] Among them, w1 < w2 < w3 < w4.

[0086] In this embodiment, the first preset deviation value range < the second preset deviation value range the third preset deviation value range < the fourth preset deviation value range. When the preset deviation value range where the deviation value is located is larger, the first construction evaluation value of the corresponding evaluation index is smaller, that is, the construction quality of the corresponding evaluation index is worse.

[0087] In this embodiment, the preset construction data is the ideal construction data set in advance according to the historical construction data of each construction process. The construction nodes and construction natures of the characteristic construction data and the preset construction data are mapped one by one to obtain the relationship between the characteristic construction data and the preset construction data. The relationship between the preset construction data and the evaluation index is set according to the relationship between the characteristic construction data and the corresponding evaluation index.

[0088] In some embodiments of the present application, a comprehensive evaluation value is generated according to multiple first construction evaluation values, including:

[0089] Generate the second construction evaluation value of each construction evaluation node according to the weight coefficient and the first construction evaluation value of the evaluation index in the evaluation index sequence of each construction evaluation node;

[0090] Generate a comprehensive evaluation value G according to the weight coefficient and the second construction evaluation value of each construction evaluation node;

[0091] ;

[0092] Among them, o is the number of construction evaluation nodes, tz is the second construction evaluation value of the z-th construction evaluation node, and iz is the weight coefficient of the z-th construction evaluation node.

[0093] In some embodiments of the present application, obtain the preset construction information of the preset construction data, where the preset construction information includes a preset construction period and a preset construction cost;

[0094] Compare the preset construction period of each construction evaluation node with the standard construction period to obtain a first comparison result, and amplitude the first comparison result to obtain a first evaluation coefficient p1. Compare the preset construction cost of each construction evaluation node with the standard construction cost to obtain a second comparison result, and amplitude the second comparison result to obtain a second evaluation coefficient p2;

[0095] Generate a comprehensive evaluation coefficient p0 based on the first evaluation coefficient p1 and the second evaluation coefficient p2;

[0096] Set a compensation coefficient m according to the comprehensive evaluation coefficient p0;

[0097] Correct the comprehensive evaluation value according to the compensation coefficient m to obtain the corrected comprehensive evaluation value m*G;

[0098] Judge whether the preset construction data meets the construction requirements according to the corrected comprehensive evaluation value.

[0099] In this embodiment, the first comparison result is the time difference between the preset construction period and the standard construction period. When the time difference is larger, the amplitude of the first comparison result is smaller, that is, the longer the duration exceeding the standard construction period, the greater the impact on the subsequent construction and the lower the construction efficiency. The second comparison result is the cost difference between the preset construction cost and the standard construction cost. When the cost difference is larger, the amplitude of the second comparison result is smaller, that is, the more the construction cost exceeds the standard construction cost, the same construction process but the construction cost increases, and the construction efficiency is reduced.

[0100] In this embodiment, a comprehensive evaluation coefficient is generated based on the first evaluation coefficient and the second evaluation coefficient, and a compensation coefficient is set. The comprehensive evaluation value is corrected according to the compensation coefficient, which improves the accuracy of the comprehensive evaluation value, thereby accurately predicting the construction results of the preset construction data, ensuring the construction quality and improving the construction efficiency.

[0101] In some embodiments of the present application, setting the compensation coefficient m according to the comprehensive evaluation coefficient p0 includes:

[0102] Preset a first preset evaluation coefficient interval, a second preset evaluation coefficient interval, a third preset evaluation coefficient interval, and a fourth preset evaluation coefficient interval;

[0103] When the comprehensive evaluation coefficient p0 is within the first preset evaluation coefficient interval, set the compensation coefficient m as the first preset compensation coefficient m1, that is, m = m1;

[0104] When the comprehensive evaluation coefficient p0 is within the second preset evaluation coefficient interval, set the compensation coefficient m as the second preset compensation coefficient m2, that is, m = m2;

[0105] When the comprehensive evaluation coefficient p0 is within the third preset evaluation coefficient interval, set the compensation coefficient m as the third preset compensation coefficient m3, that is, m = m3;

[0106] When the comprehensive evaluation coefficient p0 is within the fourth preset evaluation coefficient interval, set the compensation coefficient m as the fourth preset compensation coefficient m4, that is, m = m4;

[0107] Among them, 0.75 < m1 < m2 < 1 < m3 < m4 < 1.25, the first preset evaluation coefficient interval < the second preset evaluation coefficient interval < the third preset evaluation coefficient interval < the fourth preset evaluation coefficient interval.

[0108] In this embodiment, when the preset evaluation coefficient interval where the comprehensive evaluation coefficient is located is larger, it indicates that the preset construction period and the preset construction cost are not much different from or lower than the standard construction period and the standard construction cost. The set compensation coefficient should also be larger, so as to correct the comprehensive evaluation value, and judge whether the preset construction data meets the construction requirements according to the corrected comprehensive evaluation value, thereby improving the evaluation accuracy of the preset construction data.

[0109] In some embodiments of the present application, judging whether the preset construction data meets the construction requirements according to the comprehensive evaluation value includes:

[0110] Generating standard construction data and standard construction information according to the construction requirements, and generating an evaluation value threshold according to the standard construction data and the standard construction information;

[0111] If the corrected comprehensive evaluation value is less than the evaluation value threshold, it is determined that the preset construction data does not meet the construction requirements;

[0112] If the corrected comprehensive evaluation value is greater than the evaluation value threshold, it is determined that the preset construction data meets the construction requirements.

[0113] In this embodiment, the evaluation value threshold is the smallest evaluation value generated according to the standard construction data and the standard construction information. If the corrected comprehensive evaluation value is less than the evaluation value threshold, it indicates that the construction quality or service life of the concrete foundation predicted by the preset construction data does not meet the construction requirements.

[0114] In some embodiments of the present application, correcting the preset construction data includes:

[0115] Analyze the evaluation indicators in the evaluation indicator sequence of the same construction evaluation node and the first construction evaluation value corresponding to the evaluation indicators, compare the first construction evaluation value with the preset construction evaluation value threshold, and screen out the first construction evaluation value less than the preset construction evaluation value threshold and the corresponding evaluation indicators according to the comparison result;

[0116] Generate a comprehensive influence degree according to the first influence degree of the remaining evaluation indicators in the same construction evaluation node and the second influence degree on different construction evaluation nodes of the screened evaluation indicators;

[0117] Set the correction order of the screened evaluation indicators according to the comprehensive influence degree of the screened evaluation indicators, and correct the screened evaluation indicators and the preset construction data of the evaluation indicators according to the correction order.

[0118] In this embodiment, the preset construction evaluation value threshold is set according to the historical construction data of the evaluation index. When the first construction evaluation value is less than the preset construction evaluation value threshold, it indicates that the preset construction data corresponding to the current evaluation index is abnormal, resulting in construction quality problems or reducing the service life of the concrete foundation.

[0119] In this embodiment, the comprehensive influence degree of the selected evaluation index is generated according to the first influence degree and the second influence degree. The correction order of the selected evaluation index is set according to the comprehensive influence degree. The preset construction data of the evaluation index is corrected according to the correction order, and the correction instruction of the next correction order can be adjusted according to the correction result in the correction order, which improves the construction efficiency while ensuring the construction quality.

[0120] The above are only the preferred embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present application, several improvements and replacements can be made, and these improvements and replacements should also be regarded as the protection scope of the present application.

Claims

1. A construction evaluation method for a photovoltaic power station concrete foundation, characterized in that: include: Obtain the construction process of the concrete foundation of the photovoltaic power station, divide the construction process into construction evaluation nodes, and filter the characteristic construction data of each construction evaluation node; Based on the characteristic construction data, an evaluation index for each construction evaluation node is set, a first construction evaluation value corresponding to the evaluation index is generated according to the preset construction data, and a comprehensive evaluation value is generated according to the multiple first construction evaluation values; According to the comprehensive evaluation value, it is judged whether the preset construction data meets the construction requirements. If so, the construction is carried out according to the preset construction data. If not, the preset construction data is revised. The construction process is divided into construction evaluation nodes and the characteristic construction data of each construction evaluation node is screened, including: Obtain the construction process of the concrete foundation of the photovoltaic power station, and set the construction process into the main construction process and the secondary construction process; Calculate the influence coefficient of each construction process on the next adjacent construction process. If the influence coefficient is greater than the preset influence coefficient threshold, set the area between the current construction process and the next adjacent construction process as a construction evaluation node. Calculate the first utilization coefficient of the historical construction data in each construction evaluation node for the main construction process in the corresponding construction evaluation node and the second utilization coefficient of the secondary construction process, and determine the comprehensive utilization coefficient of the historical construction data according to the first utilization coefficient and the second utilization coefficient; ； Where K is the comprehensive utilization coefficient, a1 is the weight coefficient of the first utilization coefficient, a2 is the weight coefficient of the second utilization coefficient, and a1+a2=1, n is the number of main construction processes in the construction evaluation node, is the first utilization coefficient of the jth historical construction data for the ith main construction process, i=1,2,…n, e1i is the importance coefficient of the ith main construction process, r is the number of secondary construction processes in the construction evaluation node, is the second utilization coefficient of the j-th historical construction data for the s-th secondary construction process, s = 0, 1, …r, e2s is the importance coefficient of the s-th secondary construction process; The historical construction data with a comprehensive utilization coefficient greater than a preset utilization coefficient threshold are screened out and set as characteristic construction data of the corresponding construction evaluation node.

2. The construction evaluation method for a photovoltaic power station concrete foundation according to claim 1, characterized in that: Based on the characteristic construction data, the evaluation indicators of each construction evaluation node are set, including: Preset a preset evaluation index sequence Y, Y (y1, y2, ... yq), where q is the total number of preset evaluation indicators, yf is the fth preset evaluation indicator, f = 1, 2, ... q; Calculate the correlation coefficient between the characteristic construction data and the f-th preset evaluation index yf. If the correlation coefficient is greater than the preset correlation coefficient threshold, determine that the f-th preset evaluation index yf is the evaluation index of the construction evaluation node corresponding to the current characteristic construction data; If the correlation coefficient between each characteristic construction data in the construction evaluation node and the f-th preset evaluation index yf is less than the preset correlation coefficient threshold, it is determined that the f-th preset evaluation index yf is not the evaluation index of the current construction evaluation node, and the corresponding f-th preset evaluation index yf is eliminated, and the evaluation index sequence of the current construction evaluation node is generated according to the preset evaluation index sequence after elimination.

3. The construction evaluation method for a photovoltaic power station concrete foundation according to claim 2, characterized in that: Generating a first construction evaluation value corresponding to an evaluation index according to preset construction data includes: Obtaining the evaluation index in the evaluation index sequence of the construction evaluation node and the preset construction data corresponding to each evaluation index, comparing the preset construction data with the standard construction data interval to obtain a deviation value, and setting a first construction evaluation value corresponding to the evaluation index according to the deviation value; Presetting a first preset deviation value interval, a second preset deviation value interval, a third preset deviation value interval and a fourth preset deviation value interval; When the deviation value is within the first preset deviation value interval, the first construction evaluation value w is set to the fourth preset construction evaluation value w4, that is, w=w4; When the deviation value is within the second preset deviation value interval, the first construction evaluation value w is set to the third preset construction evaluation value w3, that is, w=w3; When the deviation value is within the third preset deviation value interval, the first construction evaluation value w is set to the second preset construction evaluation value w2, that is, w=w2; When the deviation value is within the fourth preset deviation value interval, the first construction evaluation value w is set to the first preset construction evaluation value w1, that is, w=w1; Among them, w1<w2<w3<w4.

4. The construction evaluation method for a photovoltaic power station concrete foundation according to claim 3, characterized in that: A comprehensive evaluation value is generated according to the plurality of first construction evaluation values, including: Generate a second construction evaluation value for each construction evaluation node according to the weight coefficient of the evaluation index in the evaluation index sequence of each construction evaluation node and the first construction evaluation value; Generate a comprehensive evaluation value G according to the weight coefficient of each construction evaluation node and the second construction evaluation value; ; Wherein, o is the number of construction evaluation nodes, tz is the second construction evaluation value of the z-th construction evaluation node, and iz is the weight coefficient of the z-th construction evaluation node.

5. The construction evaluation method for a photovoltaic power station concrete foundation according to claim 4, characterized in that: Acquire preset construction information of the preset construction data, wherein the preset construction information includes a preset construction period and a preset construction cost; A first comparison result is obtained by comparing the preset construction period of each construction evaluation node with the standard construction period, and the first comparison result is amplitude-valued to obtain a first evaluation coefficient p1; a second comparison result is obtained by comparing the preset construction cost of each construction evaluation node with the standard construction cost, and the second comparison result is amplitude-valued to obtain a second evaluation coefficient p2; Generate a comprehensive evaluation coefficient p0 according to the first evaluation coefficient p1 and the second evaluation coefficient p2; Set the compensation coefficient m according to the comprehensive evaluation coefficient p0; The comprehensive evaluation value is corrected according to the compensation coefficient m to obtain a corrected comprehensive evaluation value m*G; Determine whether the preset construction data meets the construction requirements based on the revised comprehensive evaluation value.

6. The construction evaluation method for a photovoltaic power station concrete foundation according to claim 5, characterized in that: The compensation coefficient m is set according to the comprehensive evaluation coefficient p0, including: Presetting a first preset evaluation coefficient interval, a second preset evaluation coefficient interval, a third preset evaluation coefficient interval, and a fourth preset evaluation coefficient interval; When the comprehensive evaluation coefficient p0 is in the first preset evaluation coefficient interval, the compensation coefficient m is set to the first preset compensation coefficient m1, that is, m=m1; When the comprehensive evaluation coefficient p0 is in the second preset evaluation coefficient interval, the compensation coefficient m is set to the second preset compensation coefficient m2, that is, m=m2; When the comprehensive evaluation coefficient p0 is in the third preset evaluation coefficient interval, the compensation coefficient m is set to the third preset compensation coefficient m3, that is, m=m3; When the comprehensive evaluation coefficient p0 is in the fourth preset evaluation coefficient interval, the compensation coefficient m is set to the fourth preset compensation coefficient m4, that is, m=m4; Among them, 0.75<m1<m2<1<m3<m4<1.25, the first preset evaluation coefficient interval<the second preset evaluation coefficient interval<the third preset evaluation coefficient interval<the fourth preset evaluation coefficient interval.

7. The construction evaluation method for a photovoltaic power station concrete foundation according to claim 6, characterized in that: Determine whether the preset construction data meets the construction requirements based on the comprehensive evaluation value, including: Generate standard construction data and standard construction information according to construction requirements, and generate evaluation value thresholds according to the standard construction data and standard construction information; If the corrected comprehensive evaluation value is less than the evaluation value threshold, it is determined that the preset construction data does not meet the construction requirements; If the corrected comprehensive evaluation value is greater than the evaluation value threshold, it is determined that the preset construction data meets the construction requirements.

8. The construction evaluation method for a photovoltaic power station concrete foundation according to claim 7, characterized in that: Modify the preset construction data, including: Analyze the evaluation indicators in the evaluation indicator sequence of the same construction evaluation node and the first construction evaluation values ​​corresponding to the evaluation indicators, compare the first construction evaluation value with a preset construction evaluation value threshold, and select the first construction evaluation value and the corresponding evaluation indicator that are less than the preset construction evaluation value threshold according to the comparison result; Generate a comprehensive impact degree according to the first impact degree of the selected evaluation indicators on the remaining evaluation indicators in the same construction evaluation node and the second impact degree on different construction evaluation nodes; The correction order of the selected evaluation indicators is set according to the comprehensive influence degree of the selected evaluation indicators, and the selected evaluation indicators and the preset construction data of the evaluation indicators are corrected according to the correction order.

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