CN116433092B - Hydraulic engineering construction quality intelligent analysis system based on big data analysis - Google Patents
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Abstract
The application discloses a hydraulic engineering construction quality intelligent analysis system based on big data analysis, and particularly relates to the technical field of construction quality analysis, comprising a construction data acquisition module, a construction dynamic model and a construction data analysis module, wherein the construction data acquisition module is used for acquiring data of construction materials for hydraulic engineering construction in advance and establishing a three-dimensional model of the construction materials; the building material evaluation module is used for acquiring a building material three-dimensional model, establishing a building material evaluation coefficient based on the acquired building material three-dimensional model data, judging whether the building material evaluation coefficient exceeds a preset building material evaluation coefficient threshold value or not compared with the preset building material evaluation coefficient threshold value, forming early warning information if the building material evaluation coefficient exceeds the preset building material evaluation coefficient threshold value, and sending an early warning signal to the outside; the method is beneficial to users to judge possible quality problems of hydraulic engineering construction based on the hydraulic engineering construction weight index, and accidents and losses caused by the hydraulic engineering construction quality problems are avoided.
Description
Technical Field
The application relates to the technical field of construction quality analysis, in particular to an intelligent analysis system for hydraulic engineering construction quality based on big data analysis.
Background
Along with the acceleration of economic construction in China, the hydraulic engineering also enters a rapid development period, and the hydraulic engineering is related to the personal interests of people and is an important public infrastructure. The hydraulic engineering is mainly used for preparing and controlling natural groundwater and surface water, is beneficial to reducing the problems caused by water flow, and can meet the production and living demands of people by preparing water quantity. Because hydraulic engineering has important influence, once the construction quality problem occurs, important consequences are caused, huge economic loss is caused, and meanwhile, the personal safety and the life and property safety of people are threatened. Therefore, in order to monitor the construction of hydraulic engineering, the construction quality problem is reduced, the occurrence of potential safety hazards is avoided, and the construction personnel are required to carry out comprehensive hydraulic construction.
At present, in the hydraulic engineering construction process, the hydraulic engineering construction is simulated by collecting original data, and although the hydraulic engineering construction scheme can be simulated and improved, the skill of constructors is different, and certain errors exist between the input data and actual conditions, so that quality problems of different degrees are caused by numerous uncertain factors such as construction materials and construction schemes when construction team performs hydraulic engineering construction.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present application provides an intelligent analysis system for hydraulic engineering construction quality based on big data analysis, so as to solve the problems set forth in the above-mentioned background art.
In order to achieve the above purpose, the present application provides the following technical solutions: an intelligent analysis system for the construction quality of hydraulic engineering based on big data analysis, comprising:
the construction data acquisition module is used for carrying out data acquisition on construction materials for hydraulic engineering construction in advance and establishing a three-dimensional model of the construction materials and a construction dynamic model;
the building material evaluation module is used for acquiring a building material three-dimensional model, building a building material evaluation coefficient based on the acquired building material three-dimensional model, judging whether the building material evaluation coefficient exceeds a preset building material evaluation coefficient threshold, forming early warning information if the building material evaluation coefficient exceeds the threshold, and sending an early warning signal to the outside;
the construction quality evaluation module is used for acquiring a construction dynamic model, simulating the construction dynamic model by using actual parameters of a construction scheme to form a construction quality evaluation coefficient, and evaluating the construction stage of the hydraulic engineering;
the construction quality evaluation coefficients are formed as follows:
301. recording the construction wetting degree Sr, the overall construction mortar strength Qd and the flatness Pd of the construction dynamic model in the construction dynamic model, wherein the wetting degree Sr, the overall construction mortar strength Qd and the flatness Pd are all obtained by collecting and calculating average values;
302. normalizing the construction wetting degree Sr, the overall strength Qd of the construction mortar and the flatness Pd to comprehensively form a construction quality evaluation coefficient Sp, wherein,wherein 0.ltoreq.beta 1 ≤1，0≤β 2 ≤1，0≤β 3 Not less than 1, and not less than 1 beta 1 +β 2 +β 3 ≤1.25，β 1 、β 2 、β 3 The specific values are adjusted by a user according to experience;
303. judging whether the construction quality evaluation coefficient Sp exceeds a preset construction quality evaluation coefficient threshold, if so, forming early warning information and sending an early warning signal to the outside;
the construction quality evaluation optimization module is used for obtaining a construction quality evaluation coefficient result to perform optimization prediction and judging whether the predicted construction quality evaluation coefficient exceeds a preset construction quality evaluation coefficient threshold value;
the construction weight module is used for correlating the construction material evaluation coefficient with the construction quality evaluation coefficient to form a hydraulic engineering construction weight index;
the construction weight index of the hydraulic engineering formed in the construction weight module specifically comprises the following contents:
401. equidistant segmentation is carried out on the hydraulic engineering construction along the direction of a time axis, i=1, 2 and 3..n-1 and n are marked respectively, and construction material evaluation coefficients Jp are obtained respectively n-1 、Jp n Construction quality evaluation coefficient Sp n-1 、Sp n ；
402. Obtaining a construction material evaluation coefficient Jp and a construction quality evaluation coefficient Sp for normalizationAfter the treatment, determining a hydraulic engineering construction weight index Qz, wherein the hydraulic engineering construction weight index Qz is calculated by the following expression:
wherein 0.ltoreq.lambda 1 ≤1，0≤λ 2 Not more than 1 and lambda 1 2 +λ 2 2 ＝1，Wherein lambda is 1 、λ 2 For the weight, the specific value can be adjusted and set by a user, and the integrity of the hydraulic engineering construction process is evaluated by Qz (J, S);
the construction early warning module is used for acquiring the result of the hydraulic engineering construction weight index, determining abnormal data influencing the hydraulic engineering construction process, forming early warning information from the abnormal data and sending early warning to the outside.
Preferably, the construction data acquisition module is further configured to perform the following steps:
101. scanning the target building material through a scanning device, acquiring building material data and storing the building material data into a database, wherein the building material data comprises building material appearance data;
102. modeling a target building material according to the building material data, and establishing a building material three-dimensional model;
103. based on the actual construction area of the target hydraulic engineering, designing a three-dimensional model of a construction material into a simulated construction scheme to form a construction dynamic model;
104. acquiring a three-dimensional model of a building material and a construction dynamic model, establishing a preliminary hydraulic engineering building model, acquiring actual construction data of the building material of a target hydraulic engineering, and inputting the actual construction data into the preliminary hydraulic engineering building model;
105. and performing iterative training on the preliminary hydraulic engineering building model through a neural network learning technology to finish the final hydraulic engineering building digital twin model.
Preferably, the build material evaluation module is further configured to perform the steps of:
201. determining a property value Xl of the building material according to the building material data, wherein the property value Xl of the building material is expressed as follows:
wt represents the humidity of use of the build material, zl represents the mass of the build material;
202. normalizing the performance value XL, the volume Gg and the quantity Sl of the building materials to comprehensively form a building material evaluation coefficient Jp, wherein the expression of the building material evaluation coefficient Jp is as follows:
wherein, alpha is more than or equal to 0 1 ≤1，0≤α 2 Less than or equal to 1, and alpha 1 +α 2 ＝1，α 1 、α 2 Representing the weight of the building material, alpha 1 、α 2 The value of (2) can be set and adjusted by a user according to experience;
203. and comparing the building material evaluation coefficient Jp with a preset building material evaluation coefficient threshold, if the building material evaluation coefficient exceeds the preset building material evaluation coefficient threshold, forming early warning information, and sending an early warning signal to the outside after receiving the early warning information through a building early warning module.
Preferably, the construction quality evaluation optimization module comprises the following contents: when the construction dynamic model is in a construction simulation stage, a plurality of construction quality evaluation coefficient Sp results are obtained along the time axis direction of the hydraulic engineering construction, the construction quality evaluation coefficient Sp at the next moment is predicted based on the smooth index, the predicted construction quality evaluation coefficient Sp is compared with a preset construction quality evaluation coefficient threshold, and if at least one of the current construction quality evaluation coefficient Sp and the predicted construction quality evaluation coefficient Sp exceeds the threshold, early warning information is formed and an early warning signal is sent to the outside.
Preferably, the construction quality evaluation optimization module further comprises the following contents:
when the construction dynamic model is in a construction simulation stage, if the construction quality evaluation coefficient Sp exceeds a preset construction quality evaluation coefficient threshold or an early warning trigger value corresponding to the preset construction quality evaluation coefficient threshold, detecting the construction dynamic model, judging whether at least one of the wetting degree Sr, the overall strength Qd of the construction mortar and the flatness Pd exceeds the corresponding preset threshold, and if the at least one of the wetting degree Sr, the overall strength Qd of the construction mortar and the flatness Pd exceeds the corresponding preset threshold, sending an early warning signal to the outside, wherein the early warning trigger value corresponding to the preset construction quality evaluation coefficient threshold is smaller than the preset construction quality evaluation coefficient threshold.
Preferably, the construction of the early warning module is specifically used for:
501. acquiring a hydraulic engineering construction weight index, comparing the hydraulic engineering construction weight index with a preset hydraulic engineering construction weight index threshold, judging whether the hydraulic engineering construction weight index exceeds the preset hydraulic engineering construction weight index threshold, and if the hydraulic engineering construction weight index exceeds the preset hydraulic engineering construction weight index threshold, determining that the whole hydraulic engineering construction process is error-free;
502. acquiring a hydraulic engineering construction weight index, comparing the hydraulic engineering construction weight index with a preset hydraulic engineering construction weight index threshold, judging whether the hydraulic engineering construction weight index exceeds the preset hydraulic engineering construction weight index threshold, and judging a construction material evaluation coefficient through a construction material evaluation module or judging whether the construction quality evaluation coefficient is abnormal through a construction quality evaluation module if the hydraulic engineering construction weight index exceeds the threshold;
503. if the construction material evaluation coefficient or the construction quality evaluation coefficient is abnormal, determining a sub-factor which leads to the construction material evaluation coefficient or the construction quality evaluation coefficient, forming the sub-factor into early warning information, and sending an early warning signal to the outside.
The operation method of the intelligent analysis system for the hydraulic engineering construction quality based on big data analysis comprises the following specific steps:
s10, carrying out data acquisition on building materials for hydraulic engineering construction in advance, and establishing a three-dimensional model of the building materials and a construction dynamic model;
s20, acquiring a three-dimensional model of the building material, establishing a building material evaluation coefficient based on the acquired three-dimensional model of the building material, judging whether the building material evaluation coefficient exceeds a preset building material evaluation coefficient threshold, forming early warning information if the building material evaluation coefficient exceeds the threshold, and sending an early warning signal to the outside;
s30, acquiring a water construction dynamic model, simulating the construction dynamic model by using actual parameters of a construction scheme to form a construction quality evaluation coefficient, and evaluating a hydraulic engineering construction stage;
s40, correlating the construction material evaluation coefficient with the construction quality evaluation coefficient to form a hydraulic engineering construction weight index;
s50, obtaining a result of the hydraulic engineering construction weight index, determining abnormal data influencing the hydraulic engineering construction process, forming early warning information from the abnormal data, and sending early warning to the outside.
The application has the technical effects and advantages that:
according to the application, the construction materials of the hydraulic engineering and corresponding original data are acquired in the construction process, so that a hydraulic engineering construction digital twin model is established, a user can simulate the hydraulic engineering construction process before the actual hydraulic engineering construction, the construction process data can be mastered in advance, the hydraulic engineering construction digital twin model is established based on the actual data, the simulation of the construction materials and the construction scheme can be carried out, the final hydraulic engineering construction weight index is determined, the user can judge the possible quality problem of the hydraulic engineering construction based on the hydraulic engineering construction weight index, and accidents and losses caused by the hydraulic engineering construction quality problem are avoided.
Drawings
Fig. 1 is a block diagram of a system architecture of the present application.
Fig. 2 is a flow chart of the system of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
Referring to fig. 1-2, the present embodiment provides an intelligent analysis system for hydraulic engineering construction quality based on big data analysis, including:
the construction data acquisition module is used for carrying out data acquisition on construction materials for hydraulic engineering construction in advance and establishing a three-dimensional model of the construction materials and a construction dynamic model;
in this embodiment, it is to be specifically described that the construction of the data acquisition module specifically includes the following:
101. scanning the target building material through a scanning device, acquiring building material data and storing the building material data into a database, wherein the building material data comprises building material appearance data;
102. modeling a target building material according to the building material data, and establishing a building material three-dimensional model;
103. based on the actual construction area of the target hydraulic engineering, designing a three-dimensional model of a construction material into a simulated construction scheme to form a construction dynamic model;
104. acquiring a three-dimensional model of a building material and a construction dynamic model, establishing a preliminary hydraulic engineering building model, acquiring actual construction data of the building material of a target hydraulic engineering, and inputting the actual construction data into the preliminary hydraulic engineering building model;
105. and performing iterative training on the preliminary hydraulic engineering building model through a neural network learning technology to finish the final hydraulic engineering building digital twin model.
In the embodiment, the digital twin model of the hydraulic engineering construction is built under the assistance of neural network learning by acquiring the original data of the target hydraulic engineering construction, so that the dynamic construction demonstration of the construction material is carried out on the hydraulic engineering construction, the hydraulic engineering can be simulated in advance before the hydraulic engineering construction, the construction staff can fully understand the hydraulic engineering construction process, the deviation of the construction scheme caused by the non-uniform professional skills of the construction staff is reduced, and the construction quality of the hydraulic engineering construction process is ensured.
The building material evaluation module is used for acquiring a building material three-dimensional model, building a building material evaluation coefficient based on the acquired building material three-dimensional model, judging whether the building material evaluation coefficient exceeds a preset building material evaluation coefficient threshold, forming early warning information if the building material evaluation coefficient exceeds the threshold, and sending an early warning signal to the outside;
in this embodiment, it should be specifically described that the content of forming the evaluation coefficient of the building material in the building material evaluation module includes the following steps:
201. determining a property value Xl of the build material from the build material data;
the performance value is obtained by removing abnormal data through iterative calculation, and the higher the performance value is, the better the quality of the building material is.
Wherein the specific expression of the property value Xl of the building material is as follows:
wt represents the humidity of use of the build material, zl represents the mass of the build material;
202. normalizing the performance value XL, the volume Gg and the quantity Sl of the building materials to comprehensively form a building material evaluation coefficient Jp, wherein the expression of the building material evaluation coefficient Jp is as follows:
wherein, alpha is more than or equal to 0 1 ≤1，0≤α 2 Less than or equal to 1, and alpha 1 +α 2 ＝1，α 1 、α 2 Representing the weight of the building material, alpha 1 、α 2 The value of (2) may be set and adjusted empirically by the user.
203. And comparing the building material evaluation coefficient Jp with a preset building material evaluation coefficient threshold, if the building material evaluation coefficient exceeds the preset building material evaluation coefficient threshold, forming early warning information, and sending an early warning signal to the outside after receiving the early warning information through a building early warning module.
In this step, the performance value Xl, the volume Gg, and the number Sl of the building materials are summarized, the building material evaluation coefficient Jp is determined, and after the building material evaluation coefficient is compared with the corresponding threshold value, if the preset building material evaluation coefficient threshold value is exceeded, it can be determined that the building material selected in the hydraulic engineering construction process is not suitable.
The construction quality evaluation module is used for acquiring a construction dynamic model, simulating the construction dynamic model by using actual parameters of a construction scheme to form a construction quality evaluation coefficient, and evaluating the construction stage of the hydraulic engineering;
in this embodiment, it is to be specifically described that the specific contents for forming the construction quality evaluation coefficient in the construction quality evaluation module include the following:
301. recording the construction wetting degree Sr, the overall construction mortar strength Qd and the flatness Pd of the construction dynamic model in the construction dynamic model, wherein the wetting degree Sr, the overall construction mortar strength Qd and the flatness Pd are all obtained by collecting and calculating average values;
302. normalizing the construction wetting degree Sr, the overall strength Qd of the construction mortar and the flatness Pd to comprehensively form a construction quality evaluation coefficient Sp, wherein,wherein 0.ltoreq.beta 1 ≤1，0≤β 2 ≤1，0≤β 3 Not less than 1, and not less than 1 beta 1 +β 2 +β 3 ≤1.25，β 1 、β 2 、β 3 The specific values are adjusted by a user according to experience;
303. judging whether the construction quality evaluation coefficient Sp exceeds a preset construction quality evaluation coefficient threshold, if so, forming early warning information and sending an early warning signal to the outside;
in the step, when the construction dynamic model is simulated, the data of the construction wetting degree Sr, the overall strength Qd of the construction mortar and the flatness Pd are synthesized, the whole construction scheme can be analyzed, whether good quality can be maintained in the construction stage of the construction dynamic model is judged, and if not, the user is required to make targeted modification.
However, if the threshold is passed, the early warning signal may be sent out only when the threshold is close to the preset construction quality evaluation coefficient threshold, which may cause the quality problem of the construction scheme after early warning, so that the construction quality evaluation coefficient needs to be predicted, and the change condition of the construction quality evaluation coefficient at the next moment is probably judged.
For this purpose, as a further improvement:
the construction quality evaluation optimization module is used for obtaining a construction quality evaluation coefficient result to perform optimization prediction and judging whether the predicted construction quality evaluation coefficient exceeds a preset construction quality evaluation coefficient threshold value;
in this embodiment, it is to be specifically described that, when the construction dynamic model is in the construction simulation stage, the construction quality evaluation optimization module obtains a plurality of construction quality evaluation coefficients Sp along the time axis direction of the hydraulic engineering construction, predicts the construction quality evaluation coefficient Sp at the next time based on the smooth index, predicts that the construction quality evaluation coefficient Sp is compared with a preset construction quality evaluation coefficient threshold, and if at least one of the current construction quality evaluation coefficient Sp and the predicted construction quality evaluation coefficient Sp exceeds the threshold, forms early warning information and sends an early warning signal to the outside.
Based on the construction quality evaluation optimization module, further improvement is made: when the construction dynamic model is in a construction simulation stage, if the construction quality evaluation coefficient Sp exceeds or is about to exceed a preset construction quality evaluation coefficient threshold, the construction dynamic model is detected, whether at least one of the wetting degree Sr, the overall strength Qd of the construction mortar and the flatness Pd exceeds the preset threshold is judged, and if the wetting degree Sr, the overall strength Qd of the construction mortar and the flatness Pd exceeds the preset threshold, an early warning signal is sent to the outside.
In this embodiment, if it is determined that the quality evaluation coefficient of the construction simulation stage has a quality hidden trouble, the construction simulation stage is processed in a targeted manner, the quality hidden trouble that occurs is rechecked, and if the construction simulation stage does have a certain quality problem, the construction scheme is subjected to a cancel processing, and the construction scheme is redesigned.
The construction weight module is used for correlating the construction material evaluation coefficient with the construction quality evaluation coefficient to form a hydraulic engineering construction weight index;
in this embodiment, it is to be specifically described that the following are specific details for forming the hydraulic engineering construction weight index in the construction weight model:
401. equidistant segmentation is carried out on the hydraulic engineering construction along the direction of a time axis, i=1, 2 and 3..n-1 and n are marked respectively, and construction material evaluation coefficients Jp are obtained respectively n-1 、Jp n Construction quality evaluation coefficient Sp n-1 、Sp n ；
402. After the construction material evaluation coefficient Jp and the construction quality evaluation coefficient Sp are obtained and normalized, the weight indexes are determined and correlated to form a hydraulic engineering construction weight index Qz, and the correlation method of the hydraulic engineering construction weight index Qz has the following expression:
wherein 0.ltoreq.lambda 1 ≤1，0≤λ 2 Not more than 1 and lambda 1 2 +λ 2 2 ＝1，
Wherein lambda is 1 、λ 2 For the weights, specific values may be set by user adjustment, with Qz (J, S) for the integrity assessment of the hydraulic engineering construction process.
In this embodiment, the hydraulic engineering construction is evaluated by the result of Qz (J, S), and the hydraulic engineering construction quality is determined to be quantized with the aid of the digital twin model for hydraulic engineering construction, so as to form a hydraulic engineering construction weight index, so that a user can directly evaluate the hydraulic engineering construction quality integrally through quantized data.
The construction early warning module is used for acquiring the result of the hydraulic engineering construction weight index, determining abnormal data influencing the hydraulic engineering construction process, forming early warning information from the abnormal data and sending early warning to the outside.
In this embodiment, it is to be specifically described that the construction of the early warning module specifically includes the following:
501. acquiring a hydraulic engineering construction weight index, comparing the hydraulic engineering construction weight index with a preset hydraulic engineering construction weight index threshold, judging whether the hydraulic engineering construction weight index exceeds the preset hydraulic engineering construction weight index threshold, and if the hydraulic engineering construction weight index exceeds the preset hydraulic engineering construction weight index threshold, determining that the whole hydraulic engineering construction process is error-free;
502. acquiring a hydraulic engineering construction weight index, comparing the hydraulic engineering construction weight index with a preset hydraulic engineering construction weight index threshold, judging whether the hydraulic engineering construction weight index exceeds the preset hydraulic engineering construction weight index threshold, and judging a construction material evaluation coefficient through a construction material evaluation module or judging whether the construction quality evaluation coefficient is abnormal through a construction quality evaluation module if the hydraulic engineering construction weight index exceeds the threshold;
503. if the construction material evaluation coefficient or the construction quality evaluation coefficient is abnormal, determining a sub-factor which leads to the construction material evaluation coefficient or the construction quality evaluation coefficient, forming the sub-factor into early warning information, and sending an early warning signal to the outside.
Example 2
Referring to fig. 1-2, the present embodiment provides an operation method of an intelligent analysis system for hydraulic engineering construction quality based on big data analysis, which specifically includes the following steps:
s10, carrying out data acquisition on building materials for hydraulic engineering construction in advance, and establishing a three-dimensional model of the building materials and a construction dynamic model;
s20, acquiring a three-dimensional model of the building material, establishing a building material evaluation coefficient based on the acquired three-dimensional model of the building material, judging whether the building material evaluation coefficient exceeds a preset building material evaluation coefficient threshold, forming early warning information if the building material evaluation coefficient exceeds the threshold, and sending an early warning signal to the outside;
s30, acquiring a water construction dynamic model, simulating the construction dynamic model by using actual parameters of a construction scheme to form a construction quality evaluation coefficient, and evaluating a hydraulic engineering construction stage;
s40, correlating the construction material evaluation coefficient with the construction quality evaluation coefficient to form a hydraulic engineering construction weight index;
s50, obtaining a result of the hydraulic engineering construction weight index, determining abnormal data influencing the hydraulic engineering construction process, forming early warning information from the abnormal data, and sending early warning to the outside.
In summary, by acquiring the construction materials of the hydraulic engineering and acquiring corresponding original data in the construction process, the hydraulic engineering construction digital twin model is established, so that a user can simulate the hydraulic engineering construction process before the actual hydraulic engineering construction, and grasp the construction process data in advance.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present application, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
Other embodiments or specific implementations of the intelligent analysis system for hydraulic engineering construction quality based on big data analysis can refer to the above method embodiments, and are not described herein.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (22)
1. A hydraulic engineering construction quality intelligent analysis system based on big data analysis is characterized in that: comprising the following steps:
the construction data acquisition module is used for carrying out data acquisition on construction materials for hydraulic engineering construction in advance and establishing a three-dimensional model of the construction materials and a construction dynamic model;
the building material evaluation module is used for acquiring a building material three-dimensional model, building a building material evaluation coefficient based on the acquired building material three-dimensional model, judging whether the building material evaluation coefficient exceeds a preset building material evaluation coefficient threshold, forming early warning information if the building material evaluation coefficient exceeds the threshold, and sending an early warning signal to the outside;
the build material evaluation module is further configured to perform the steps of:
2. determining a property value Xl of the building material according to the building material data, wherein the property value Xl of the building material is expressed as follows:
wt represents the humidity of use of the build material, zl represents the mass of the build material;
3. normalizing the performance value XL, the volume Gg and the quantity Sl of the building materials to comprehensively form a building material evaluation coefficient Jp, wherein the expression of the building material evaluation coefficient Jp is as follows:
wherein 0.ltoreq.alpha 1 ≤1，0≤α 2 Less than or equal to 1, and alpha 1 +α 2 =1，α 1 、α 2 Representing the weight of a build materialHeavy, alpha 1 、α 2 Setting and adjusting the value of (2) by a user according to experience;
4. comparing the building material evaluation coefficient Jp with a preset building material evaluation coefficient threshold, if the building material evaluation coefficient exceeds the preset building material evaluation coefficient threshold, forming early warning information, and sending an early warning signal to the outside after receiving the early warning information through a building early warning module;
the construction quality evaluation module is used for acquiring a construction dynamic model, simulating the construction dynamic model by using actual parameters of a construction scheme to form a construction quality evaluation coefficient, and evaluating the construction stage of the hydraulic engineering;
the construction quality evaluation coefficients are formed as follows:
5. recording the construction wetting degree Sr, the overall construction mortar strength Qd and the flatness Pd of the construction dynamic model in the construction dynamic model, wherein the wetting degree Sr, the overall construction mortar strength Qd and the flatness Pd are all obtained by collecting and calculating average values;
6. normalizing the construction wetting degree Sr, the overall strength Qd of the construction mortar and the flatness Pd to comprehensively form a construction quality evaluation coefficient Sp, wherein,wherein 0.ltoreq.beta 1 ≤1，0≤β 2 ≤1，0≤β 3 Not less than 1, and not less than 1 beta 1 +β 2 +β 3 ≤1.25，β 1 、β 2 、β 3 The specific values are adjusted by a user according to experience;
7. judging whether the construction quality evaluation coefficient Sp exceeds a preset construction quality evaluation coefficient threshold, if so, forming early warning information and sending an early warning signal to the outside;
the construction quality evaluation optimization module is used for obtaining a construction quality evaluation coefficient result to perform optimization prediction and judging whether the predicted construction quality evaluation coefficient exceeds a preset construction quality evaluation coefficient threshold value;
the construction weight module is used for correlating the construction material evaluation coefficient with the construction quality evaluation coefficient to form a hydraulic engineering construction weight index;
the construction weight index of the hydraulic engineering formed in the construction weight module specifically comprises the following contents:
8. equidistant segmentation is carried out on the hydraulic engineering construction along the direction of a time axis, i=1, 2 and 3..n-1 and n are marked respectively, and construction material evaluation coefficients Jp are obtained respectively n-1 、Jp n Construction quality evaluation coefficient Sp n-1 、Sp n ；
9. After the construction material evaluation coefficient Jp and the construction quality evaluation coefficient Sp are obtained and normalized, a hydraulic engineering construction weight index Qz is determined, and the hydraulic engineering construction weight index Qz is calculated by the following expression:，，
wherein 0.ltoreq.lambda 1 ≤1，0≤λ 2 Not more than 1 and lambda 1 2 +λ 2 2 =1，Wherein lambda is 1 、λ 2 For the weight, the specific value is adjusted and set by a user, and the integrity of the hydraulic engineering construction process is evaluated by Qz (J, S);
the construction early warning module is used for acquiring the result of the hydraulic engineering construction weight index, determining abnormal data influencing the hydraulic engineering construction process, forming early warning information from the abnormal data and sending early warning to the outside.
10. The intelligent analysis system for the construction quality of the hydraulic engineering based on big data analysis according to claim 1, wherein the intelligent analysis system is characterized in that: the as-built data acquisition module is further configured to perform the steps of:
11. scanning the target building material through a scanning device, acquiring building material data and storing the building material data into a database, wherein the building material data comprises building material appearance data;
12. modeling a target building material according to the building material data, and establishing a building material three-dimensional model;
13. based on the actual construction area of the target hydraulic engineering, designing a three-dimensional model of a construction material into a simulated construction scheme to form a construction dynamic model;
14. acquiring a three-dimensional model of a building material and a construction dynamic model, establishing a preliminary hydraulic engineering building model, acquiring actual construction data of the building material of a target hydraulic engineering, and inputting the actual construction data into the preliminary hydraulic engineering building model;
15. and performing iterative training on the preliminary hydraulic engineering building model through a neural network learning technology to finish the final hydraulic engineering building digital twin model.
16. The intelligent analysis system for the construction quality of the hydraulic engineering based on big data analysis according to claim 1, wherein the intelligent analysis system is characterized in that: the construction quality evaluation optimization module comprises the following contents:
when the construction dynamic model is in a construction simulation stage, a plurality of construction quality evaluation coefficient Sp results are obtained along the time axis direction of the hydraulic engineering construction, the construction quality evaluation coefficient Sp at the next moment is predicted based on the smooth index, the predicted construction quality evaluation coefficient Sp is compared with a preset construction quality evaluation coefficient threshold, and if at least one of the current construction quality evaluation coefficient Sp and the predicted construction quality evaluation coefficient Sp exceeds the threshold, early warning information is formed and an early warning signal is sent to the outside.
17. The intelligent analysis system for the construction quality of the hydraulic engineering based on big data analysis according to claim 3, wherein: the construction quality evaluation optimization module further comprises the following contents:
when the construction dynamic model is in a construction simulation stage, if the construction quality evaluation coefficient Sp exceeds a preset construction quality evaluation coefficient threshold or an early warning trigger value corresponding to the preset construction quality evaluation coefficient threshold, detecting the construction dynamic model, judging whether at least one of the wetting degree Sr, the overall strength Qd of the construction mortar and the flatness Pd exceeds the corresponding preset threshold, and if the at least one of the wetting degree Sr, the overall strength Qd of the construction mortar and the flatness Pd exceeds the corresponding preset threshold, sending an early warning signal to the outside, wherein the early warning trigger value corresponding to the preset construction quality evaluation coefficient threshold is smaller than the preset construction quality evaluation coefficient threshold.
18. The intelligent analysis system for the construction quality of the hydraulic engineering based on big data analysis according to claim 1, wherein the intelligent analysis system is characterized in that: the construction early warning module is specifically used for:
19. acquiring a hydraulic engineering construction weight index, comparing the hydraulic engineering construction weight index with a preset hydraulic engineering construction weight index threshold, judging whether the hydraulic engineering construction weight index exceeds the preset hydraulic engineering construction weight index threshold, and if the hydraulic engineering construction weight index exceeds the preset hydraulic engineering construction weight index threshold, determining that the whole hydraulic engineering construction process is error-free;
20. acquiring a hydraulic engineering construction weight index, comparing the hydraulic engineering construction weight index with a preset hydraulic engineering construction weight index threshold, judging whether the hydraulic engineering construction weight index exceeds the preset hydraulic engineering construction weight index threshold, and judging a construction material evaluation coefficient through a construction material evaluation module or judging whether the construction quality evaluation coefficient is abnormal through a construction quality evaluation module if the hydraulic engineering construction weight index exceeds the threshold;
21. if the construction material evaluation coefficient or the construction quality evaluation coefficient is abnormal, determining a sub-factor which leads to the construction material evaluation coefficient or the construction quality evaluation coefficient, forming the sub-factor into early warning information, and sending an early warning signal to the outside.
22. The method for operating a hydraulic engineering construction quality intelligent analysis system based on big data analysis according to any one of the claims 1-5, wherein: comprises the following specific steps:
s10, carrying out data acquisition on building materials for hydraulic engineering construction in advance, and establishing a three-dimensional model of the building materials and a construction dynamic model;
s20, acquiring a three-dimensional model of the building material, establishing a building material evaluation coefficient based on the acquired three-dimensional model of the building material, judging whether the building material evaluation coefficient exceeds a preset building material evaluation coefficient threshold, forming early warning information if the building material evaluation coefficient exceeds the threshold, and sending an early warning signal to the outside;
s30, acquiring a water construction dynamic model, simulating the construction dynamic model by using actual parameters of a construction scheme to form a construction quality evaluation coefficient, and evaluating a hydraulic engineering construction stage;
s40, correlating the construction material evaluation coefficient with the construction quality evaluation coefficient to form a hydraulic engineering construction weight index;
s50, obtaining a result of the hydraulic engineering construction weight index, determining abnormal data influencing the hydraulic engineering construction process, forming early warning information from the abnormal data, and sending early warning to the outside.
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