Safety quality detection method and system for reservoir project

Abstract

The invention discloses a safety quality detection method and system for reservoir engineering, and relates to the technical field of engineering quality detection. The method comprises the following steps: determining a plurality of construction nodes; determining a current ongoing first construction node, and acquiring first real-time geological detection data; determining a first geological survey feature and a first preset construction scheme; comparing the first geological survey feature with the first real-time geological detection data, and performing decline influence analysis on an anti-sliding stability index, an anti-overturning stability index and an anti-seepage index on the first preset construction scheme to generate a first anti-sliding decline index, a first anti-overturning decline index and a first anti-seepage decline index; and carrying out safety quality risk identification, and carrying out engineering quality detection on the first construction node according to a risk identification result. The technical problem that in the prior art, due to the fact that reservoir engineering quality detection lacks analysis on geological conditions, detection is not accurate enough is solved, and the technical effect of improving reservoir engineering safety quality detection accuracy is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering quality detection, and in particular to a safety quality detection method and system for reservoir engineering. Background Art

[0002] In the construction of reservoir projects, project quality inspection is an important link to ensure the safety and stable operation of the project. Traditional reservoir project quality inspection methods mainly focus on the strength, size and compliance of various facilities in the construction process. Dynamic analysis of geological conditions is usually ignored. However, the geological conditions in the area where the reservoir project is located are complex and changeable. If the actual geological conditions during the construction process are different from the geological characteristics of the pre-investigation, even if the construction process and standards fully meet the design requirements, it may cause safety risks to the project. Therefore, the lack of real-time detection and dynamic evaluation of geological conditions can easily lead to inaccurate results of project quality inspections, affecting the overall safety and long-term stability of the reservoir project. Summary of the invention

[0003] The present application provides a safety quality detection method and system for reservoir engineering, which solves the technical problem in the prior art that the quality detection of reservoir engineering lacks analysis of geological conditions, resulting in inaccurate detection.

[0004] In view of the above problems, the present application provides a safety quality detection method and system for reservoir projects.

[0005] In a first aspect of the present application, a safety quality detection method for a reservoir project is provided, the method comprising: Determine multiple construction nodes of the target reservoir project, as well as multiple geological survey features and multiple preset construction plans corresponding to the multiple construction nodes; determine the first construction node currently in progress, and collect and obtain the first real-time geological detection data corresponding to the first construction node; determine the first geological survey feature and the first preset construction plan corresponding to the first construction node based on the multiple geological survey features and the multiple preset construction plans; compare the first geological survey feature with the first real-time geological detection data, analyze the decline impact of the anti-sliding stability index, anti-overturning stability index and anti-seepage index on the first preset construction plan, and generate a first anti-sliding decline index, a first anti-overturning decline index and a first anti-seepage decline index; identify safety and quality risks based on the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index, and perform engineering quality inspection of the first construction node according to the risk identification results.

[0006] The second aspect of the present application provides a safety quality detection system for a reservoir project, the system comprising: Node determination module: determine multiple construction nodes of the target reservoir project, as well as multiple geological survey features and multiple preset construction plans corresponding to the multiple construction nodes; data acquisition module: determine the first construction node currently in progress, and collect and obtain the first real-time geological detection data corresponding to the first construction node; plan determination module: determine the first geological survey feature and the first preset construction plan corresponding to the first construction node based on the multiple geological survey features and the multiple preset construction plans; analysis module: compare the first geological survey feature with the first real-time geological detection data, analyze the decline impact of the anti-sliding stability index, anti-overturning stability index and anti-seepage index on the first preset construction plan, and generate a first anti-sliding decline index, a first anti-overturning decline index and a first anti-seepage decline index; quality inspection module: identify safety and quality risks based on the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index, and perform engineering quality inspection of the first construction node according to the risk identification results.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: First, multiple construction nodes of the target reservoir project, as well as multiple geological survey features and multiple preset construction plans corresponding to the multiple construction nodes are determined. Next, the first construction node currently in progress is determined, and the first real-time geological detection data corresponding to the first construction node is collected and obtained. Further, the first geological survey feature and the first preset construction plan corresponding to the first construction node are determined based on the multiple geological survey features and the multiple preset construction plans. Then, the first geological survey feature is compared with the first real-time geological detection data, and the decline impact analysis of the anti-sliding stability index, the anti-overturning stability index and the anti-seepage index is performed on the first preset construction plan, and the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index are generated. Finally, safety and quality risk identification is performed based on the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index, and the engineering quality inspection of the first construction node is performed according to the risk identification results. The technical problem that the reservoir engineering quality inspection lacks analysis of geological conditions in the prior art, resulting in inaccurate inspection is solved, and the technical effect of improving the accuracy of reservoir engineering safety quality inspection is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1A schematic diagram of a safety quality detection method for a reservoir project provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a safety and quality detection system for reservoir projects provided in an embodiment of the present application.

[0010] Explanation of the reference numerals: node determination module 11 , data acquisition module 12 , solution determination module 13 , analysis module 14 , quality detection module 15 . DETAILED DESCRIPTION

[0011] The present application solves the technical problem in the prior art that reservoir project quality inspection lacks analysis of geological conditions, resulting in inaccurate inspection, by providing a safety quality inspection method and system for reservoir projects.

[0012] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0013] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0014] Embodiment 1, as Figure 1 As shown, the present application provides a safety quality detection method for a reservoir project, wherein the method comprises: Determine a plurality of construction nodes of the target reservoir project, as well as a plurality of geological survey features and a plurality of preset construction plans corresponding to the plurality of construction nodes.

[0015] Before the construction of the reservoir project, professional and technical personnel determined multiple construction nodes of the target reservoir project based on the project planning and the results of the preliminary geological survey, and analyzed and determined the corresponding geological survey characteristics, including stratum structure, geotechnical parameters, aquifer distribution and potential geological disasters, etc., in combination with the actual situation of each construction node. At the same time, in response to these geological survey characteristics, a number of preset construction plans were formulated to match them, covering construction technology, material selection, equipment configuration and control measures for changes in different geological conditions. The determination of these nodes, characteristics and plans provides a basic basis for geological condition analysis, quality inspection and risk assessment in the subsequent engineering construction process.

[0016] Determine a first construction node currently in progress, and collect and obtain first real-time geological detection data corresponding to the first construction node.

[0017] During the construction of the reservoir project, the first construction node currently in progress is determined, and the first real-time geological detection data corresponding to the first construction node is collected and acquired through the geological detection equipment deployed on site. The first real-time geological detection data includes rock layer type, fracture distribution, groundwater level, etc.

[0018] Based on the multiple geological survey features and the multiple preset construction plans, a first geological survey feature and a first preset construction plan corresponding to the first construction node are determined.

[0019] According to multiple geological survey features and multiple preset construction plans, combined with the specific location and construction stage of the first construction node currently being carried out, the first geological survey feature and the first preset construction plan corresponding to the first construction node are determined. Specifically, based on the geographical location, construction conditions and related parameters of the first construction node, the most relevant geological feature data are matched from multiple geological survey features, and the preset construction plan adapted to these geological features is selected as the main reference for the current construction node.

[0020] By comparing the first geological survey characteristics with the first real-time geological detection data, the decline impact analysis of the anti-sliding stability index, the anti-overturning stability index and the anti-seepage index of the first preset construction plan is performed to generate a first anti-sliding decline index, a first anti-overturning decline index and a first anti-seepage decline index.

[0021] The first geological survey feature of the first construction node is compared with the first real-time geological detection data collected in real time to analyze the impact of the actual change of geological conditions on the first preset construction plan. For the three key indicators of anti-sliding stability, anti-overturning stability and anti-seepage performance, the decline in indicators that may be caused by changes in actual geological conditions is evaluated, specifically including: based on the actual shear strength, friction angle and other data of the stratum, the decline in anti-sliding stability is compared with the estimated value of the geological survey characteristics, the decline in anti-sliding stability is calculated, and the first anti-sliding decline index is generated. The first anti-sliding decline index reflects the degree of decline in anti-sliding stability under actual geological conditions; combined with the geological stress distribution and the change of the structural center of gravity in the real-time geological data, the survey feature data is compared to evaluate the change in anti-overturning capacity and generate the first anti-overturning decline index. The first anti-overturning decline index reflects the degree of decline in anti-overturning stability under actual geological conditions; using the water content, permeability coefficient, etc. in the real-time geological detection data, compared with the expected survey feature values, the decline risk of anti-seepage performance is evaluated, and the first anti-seepage decline index is generated. The first anti-seepage decline index reflects the degree of decline in anti-seepage performance under actual geological conditions.

[0022] Further, generating the first anti-slip descent index, the first anti-overturning descent index and the first anti-seepage descent index includes: A difference comparison is performed between the first geological survey feature and the multidimensional attribute feature in the first real-time geological detection data to establish a multidimensional offset vector; according to the first preset construction plan, a preset anti-disturbance analysis channel for anti-sliding performance, anti-overturning performance and anti-seepage performance is established based on the multidimensional attribute feature; the multidimensional offset vector is input into the preset anti-disturbance analysis channel to perform a decline analysis of the anti-sliding performance, anti-overturning performance and anti-seepage performance, and the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index are generated.

[0023] Specifically, a difference comparison is made between the first geological survey feature and the multidimensional attribute features in the first real-time geological detection data (such as stratum structure, shear strength, permeability coefficient, etc.), the attribute change between the two is calculated, and a multidimensional offset vector reflecting the change of geological conditions is established; according to the design requirements of the first preset construction plan, preset anti-disturbance analysis channels are established for anti-sliding performance, anti-overturning performance and anti-seepage performance, wherein the anti-sliding performance channel analyzes the influence of shear strength and friction angle on stratum slip, the anti-overturning performance channel evaluates the change of center of gravity distribution and overturning moment, and the anti-seepage performance channel calculates the influence of permeability coefficient and water content on anti-seepage capacity; the multidimensional offset vector is input into these anti-disturbance analysis channels, and the dynamic response model is used to analyze the change trend of anti-sliding performance, anti-overturning performance and anti-seepage performance, and finally the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index are generated, providing a scientific basis for engineering quality inspection and safety risk assessment at the current construction node.

[0024] Furthermore, according to the first preset construction plan, a preset anti-disturbance analysis channel for anti-slip performance, anti-overturning performance and anti-seepage performance is established based on the multi-dimensional attribute characteristics, including: Based on the multi-dimensional attribute feature configuration, data collection distance constraints are set; according to the first preset construction plan and the distance constraints, a control plan construction monitoring data set is collected, wherein any one of the data in the control plan construction monitoring data set includes the geological characteristics corresponding to the control construction plan, and the corresponding anti-sliding performance index, anti-overturning performance index and anti-seepage performance index; any two data in the control plan construction monitoring data set are extracted, one of the data is used as the reference control data, and the geological characteristic offset vector sample of the other data relative to the reference control data is calculated, as well as the anti-sliding performance index change vector, anti-overturning performance index change vector and anti-seepage performance index change vector relative to the reference control data; the anti-sliding analysis model is trained with the geological characteristic offset vector sample as the training input and the anti-sliding performance index change vector as the output supervision value, and the anti-overturning analysis model and the anti-seepage analysis model are trained by analogy; the anti-sliding analysis model, the anti-overturning analysis model and the anti-seepage analysis model are connected in parallel to generate the preset anti-disturbance analysis channel.

[0025] Specifically, according to the multi-dimensional attribute characteristics, the collection distance constraint conditions of the geological detection data are set to ensure that the collected data covers the relevant areas of the construction nodes and has sufficient geological representativeness; based on the first preset construction plan and the configured distance constraint conditions, the geological characteristics and monitoring data related to multiple reference construction plans are collected to form a reference plan construction monitoring data set, each data contains geological characteristics and corresponding anti-slip performance indicators, anti-overturning performance indicators and anti-seepage performance indicators; extract any two data from the reference plan construction monitoring data set, select one of them as the reference data, calculate the geological characteristic offset vector of the other data relative to the reference data, and calculate Its corresponding anti-sliding performance index change vector, anti-overturning performance index change vector and anti-seepage performance index change vector; use the geological feature offset vector sample as the input of model training, and take the performance index change vector as the supervision output value to train the anti-sliding analysis model; similarly, train the anti-overturning analysis model and the anti-seepage analysis model separately to ensure that the model can accurately map the relationship between the geological feature changes and the performance index changes; connect the trained anti-sliding analysis model, anti-overturning analysis model and anti-seepage analysis model in parallel to form a complete preset anti-disturbance analysis channel, which is used to input the geological offset vector in real time to analyze the changing trend and decline of the anti-sliding, anti-overturning and anti-seepage performance.

[0026] Furthermore, collecting a construction monitoring data set of a control scheme according to the first preset construction scheme and the distance constraint includes: Taking the first preset construction plan as a constraint, a control plan set that meets the distance constraint is collected, wherein the control plan is a historical construction plan whose similarity to the first preset construction plan is greater than a preset similarity; actual geological characteristics and actual anti-slip performance index detection values, anti-overturning performance index detection values, and anti-seepage performance index detection values ​​during the construction of the control plan are collected to establish a control plan construction monitoring data set corresponding to the control plan set.

[0027] Specifically, with the first preset construction scheme as a constraint condition, a set of control schemes with a similarity greater than a preset similarity to the scheme is screened out from the historical construction data, wherein the similarity evaluation can be based on the matching degree of key factors such as construction technology, material parameters, geological environment, etc. For example, the key features of the first preset construction scheme (including construction technology parameters, material parameters and geological environment features) are encoded as a multidimensional feature vector, and the corresponding features of each construction scheme in the historical construction data are also encoded as a feature vector; the similarity between the first preset construction scheme and each historical construction scheme is calculated using the Euclidean distance formula, wherein the smaller the Euclidean distance, the higher the similarity. According to the calculation results, all historical construction schemes are sorted from small to large according to the Euclidean distance, and the schemes with a Euclidean distance less than a preset threshold are screened out to form a set of control schemes with a similarity greater than a preset similarity. Next, the actual geological characteristic data corresponding to the control scheme during the construction process are collected, including stratum structure, permeability coefficient, shear strength, etc., and the test values ​​of the actual anti-sliding performance indicators, anti-overturning performance indicators and anti-seepage performance indicators during the construction of each control scheme are recorded; the above collected data are structured and stored, and a control scheme construction monitoring data set corresponding to the control scheme set is established to provide comprehensive data support for subsequent geological deviation analysis and performance change evaluation.

[0028] Safety and quality risks are identified based on the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index, and engineering quality inspection of the first construction node is performed according to the risk identification results.

[0029] First, identify the possible over-limit risks of the first anti-slip drop index, the first anti-overturning drop index, and the first anti-seepage drop index to determine whether the construction node faces a significant decline in anti-slip performance, anti-overturning performance, or anti-seepage performance; second, based on the risk assessment results, classify the safety risks of the construction nodes into high risk, medium risk, or low risk, and identify the corresponding risk sources and their potential impact on the quality of the project. Finally, combined with the risk identification results, conduct a quality inspection of the first construction node, focusing on the areas and links that are most affected by the risk. Through further data collection and analysis, verify whether the construction node meets the design safety standards, and formulate corresponding construction adjustments or remedial measures to ensure that the quality of the project meets the requirements.

[0030] Further, based on the first anti-slip drop index, the first anti-overturning drop index and the first anti-seepage drop index, safety and quality risk identification is performed, and the engineering quality inspection of the first construction node is performed according to the risk identification result, including: Determine whether there is an indicator greater than a preset decline threshold value among the first anti-slip decline index, the first anti-overturning decline index and the first anti-seepage decline index; if so, activate the construction plan optimization module to optimize the first preset construction plan and then perform the engineering quality inspection of the first construction node; if not, carry out construction with the first preset construction plan and conduct engineering quality inspection.

[0031] Preferably, it is determined whether any of the first anti-slip descent index, the first anti-overturning descent index and the first anti-seepage descent index exceeds a preset descent threshold; if there is a situation where the threshold is exceeded, the construction plan optimization module is activated to adjust and optimize the first preset construction plan to reduce the safety and quality risks caused by changes in geological conditions. After the optimization is completed, the first construction node is subjected to an engineering quality inspection. For example, the construction data of the first construction node is collected, and key indicators (such as anti-slip performance, anti-overturning performance, and anti-seepage performance) are inspected and evaluated to determine whether they meet the design requirements and safety standards; if any indicator is not found to exceed the preset threshold, the construction is directly carried out according to the first preset construction plan, and engineering quality inspection is carried out at the same time to ensure that the quality of the construction nodes meets the design requirements and safety standards.

[0032] Further, activating the construction scheme optimization module to optimize the first preset construction scheme and then performing the engineering quality inspection of the first construction node includes: Calling a scheme optimization library in the construction scheme optimization module, wherein the scheme optimization library includes multiple optimization schemes and corresponding optimization degrees of anti-slip performance, anti-overturning performance and anti-seepage performance; in the scheme optimization library, screening multiple target optimization schemes whose optimization degrees meet the first anti-slip descent index, the first anti-overturning descent index and the first anti-seepage descent index; recommending the multiple target optimization schemes to the construction management terminal, and obtaining the first optimization scheme finally returned by the construction management terminal; carrying out construction and conducting engineering quality inspection with the first optimization scheme.

[0033] Specifically, the scheme optimization library in the construction scheme optimization module is called, and the optimization library contains multiple preset optimization schemes and their corresponding optimization degrees of anti-slip performance, anti-overturning performance and anti-seepage performance; then, based on the requirements of the first anti-slip decline index, the first anti-overturning decline index and the first anti-seepage decline index, multiple target optimization schemes with optimization degrees that meet the requirements are screened out from the optimization library; then, the screened target optimization schemes are recommended to the construction management terminal, and the technical personnel of the terminal conduct a comprehensive analysis and return the finally selected first optimization scheme; finally, construction is carried out based on the first optimization scheme, and the engineering quality inspection is carried out on the first construction node to ensure that the optimized construction plan can effectively respond to changes in geological conditions and meet the engineering quality requirements.

[0034] Furthermore, it also includes: Determining geographical location information of the multiple construction nodes; Based on the geographical location information and the multiple geological survey features, a correlation analysis of the geological features of the multiple construction nodes is performed to establish multiple node combinations with correlation coefficients greater than a preset coefficient; Determine a first node combination corresponding to the first construction node based on the multiple node combinations; If the first preset construction plan of the first construction node is optimized, the preset construction plans of other construction nodes in the first node combination are synchronously optimized according to the first optimization plan, and the decline impact of the anti-sliding stability index, anti-overturning stability index and anti-seepage index is analyzed with the synchronously optimized plan.

[0035] First, determine the geographical location information of multiple construction nodes, and based on these geographical location information and multiple geological survey features, perform correlation analysis of geological characteristics of each construction node, and screen out multiple node combinations with correlation coefficients greater than the preset coefficient by calculating the correlation coefficients of geological characteristics between nodes; then, based on these node combinations, determine the first node combination associated with the first construction node. If the first preset construction plan of the first construction node has been optimized, the preset construction plans of other construction nodes in the first node combination are synchronously optimized according to the first optimization plan to ensure the consistency and coherence of the construction plans between the associated nodes. After the synchronous optimization is completed, based on the optimized plan, the anti-sliding stability index, anti-overturning stability index and anti-seepage index of all nodes in the first node combination are analyzed for the decline impact, and the impact of the optimization plan on the overall engineering safety performance is further evaluated to ensure the overall stability and safety of the construction process.

[0036] Exemplarily, the correlation coefficient of geological characteristics between nodes is calculated. Specifically, the geological survey characteristics of each construction node (such as stratigraphic structure, lithology, permeability, shear strength, etc.) are extracted, and these characteristics are quantified into geological characteristic vectors; then, the cosine similarity formula is used to calculate the similarity of geological characteristics between any two construction nodes, wherein the calculation of node similarity is determined by the ratio of the dot product of the characteristic vector and the vector modulus, and the obtained similarity value is used as the correlation coefficient between the two nodes; then, the calculated correlation coefficient is compared with a preset threshold value, and the node pairs with correlation coefficients greater than the threshold value are screened out to form a correlation node combination.

[0037] In summary, the embodiments of the present application have at least the following technical effects: First, multiple construction nodes of the target reservoir project, as well as multiple geological survey features and multiple preset construction plans corresponding to the multiple construction nodes are determined. Next, the first construction node currently in progress is determined, and the first real-time geological detection data corresponding to the first construction node is collected and obtained. Further, the first geological survey feature and the first preset construction plan corresponding to the first construction node are determined based on the multiple geological survey features and the multiple preset construction plans. Then, the first geological survey feature is compared with the first real-time geological detection data, and the decline impact analysis of the anti-sliding stability index, the anti-overturning stability index and the anti-seepage index is performed on the first preset construction plan, and the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index are generated. Finally, safety and quality risk identification is performed based on the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index, and the engineering quality inspection of the first construction node is performed according to the risk identification results. The technical problem that the reservoir engineering quality inspection lacks analysis of geological conditions in the prior art, resulting in inaccurate inspection is solved, and the technical effect of improving the accuracy of reservoir engineering safety quality inspection is achieved.

[0038] Embodiment 2, based on the same inventive concept as the safety quality detection method for reservoir engineering in the above embodiment, Figure 2 As shown, the present application provides a safety quality detection system for reservoir engineering, wherein the system comprises: Node determination module 11: determine multiple construction nodes of the target reservoir project, as well as multiple geological survey features and multiple preset construction plans corresponding to the multiple construction nodes; data acquisition module 12: determine the first construction node currently in progress, and collect and obtain the first real-time geological detection data corresponding to the first construction node; plan determination module 13: determine the first geological survey feature and the first preset construction plan corresponding to the first construction node based on the multiple geological survey features and the multiple preset construction plans; analysis module 14: compare the first geological survey feature with the first real-time geological detection data, analyze the decline effect of the anti-sliding stability index, anti-overturning stability index and anti-seepage index on the first preset construction plan, and generate a first anti-sliding decline index, a first anti-overturning decline index and a first anti-seepage decline index; quality inspection module 15: identify safety and quality risks based on the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index, and perform engineering quality inspection of the first construction node according to the risk identification result.

[0039] Furthermore, the analysis module 14 is used to perform the following method: A difference comparison is performed between the first geological survey feature and the multidimensional attribute feature in the first real-time geological detection data to establish a multidimensional offset vector; according to the first preset construction plan, a preset anti-disturbance analysis channel for anti-sliding performance, anti-overturning performance and anti-seepage performance is established based on the multidimensional attribute feature; the multidimensional offset vector is input into the preset anti-disturbance analysis channel to perform a decline analysis of the anti-sliding performance, anti-overturning performance and anti-seepage performance, and the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index are generated.

[0040] Furthermore, the analysis module 14 is used to perform the following method: Based on the multi-dimensional attribute feature configuration, data collection distance constraints are set; according to the first preset construction plan and the distance constraints, a control plan construction monitoring data set is collected, wherein any one of the data in the control plan construction monitoring data set includes the geological characteristics corresponding to the control construction plan, and the corresponding anti-sliding performance index, anti-overturning performance index and anti-seepage performance index; any two data in the control plan construction monitoring data set are extracted, one of the data is used as the reference control data, and the geological characteristic offset vector sample of the other data relative to the reference control data is calculated, as well as the anti-sliding performance index change vector, anti-overturning performance index change vector and anti-seepage performance index change vector relative to the reference control data; the anti-sliding analysis model is trained with the geological characteristic offset vector sample as the training input and the anti-sliding performance index change vector as the output supervision value, and the anti-overturning analysis model and the anti-seepage analysis model are trained by analogy; the anti-sliding analysis model, the anti-overturning analysis model and the anti-seepage analysis model are connected in parallel to generate the preset anti-disturbance analysis channel.

[0041] Furthermore, the analysis module 14 is used to perform the following method: Taking the first preset construction plan as a constraint, a control plan set that meets the distance constraint is collected, wherein the control plan is a historical construction plan whose similarity to the first preset construction plan is greater than a preset similarity; actual geological characteristics and actual anti-slip performance index detection values, anti-overturning performance index detection values, and anti-seepage performance index detection values ​​during the construction of the control plan are collected to establish a control plan construction monitoring data set corresponding to the control plan set.

[0042] Furthermore, the quality detection module 15 is used to perform the following method: Determine whether there is an indicator greater than a preset decline threshold value among the first anti-slip decline index, the first anti-overturning decline index and the first anti-seepage decline index; if so, activate the construction plan optimization module to optimize the first preset construction plan and then perform the engineering quality inspection of the first construction node; if not, carry out construction with the first preset construction plan and conduct engineering quality inspection.

[0043] Furthermore, the quality detection module 15 is used to perform the following method: Calling a scheme optimization library in the construction scheme optimization module, wherein the scheme optimization library includes multiple optimization schemes and corresponding optimization degrees of anti-slip performance, anti-overturning performance and anti-seepage performance; in the scheme optimization library, screening multiple target optimization schemes whose optimization degrees meet the first anti-slip descent index, the first anti-overturning descent index and the first anti-seepage descent index; recommending the multiple target optimization schemes to the construction management terminal, and obtaining the first optimization scheme finally returned by the construction management terminal; carrying out construction and conducting engineering quality inspection with the first optimization scheme.

[0044] Furthermore, the quality detection module 15 is used to perform the following method: Determine the geographical location information of the multiple construction nodes; perform a correlation analysis of the geological characteristics of the multiple construction nodes based on the geographical location information and the multiple geological survey characteristics, and establish multiple node combinations with correlation coefficients greater than preset coefficients; determine a first node combination corresponding to the first construction node based on the multiple node combinations; if a first preset construction plan for the first construction node is optimized, synchronously optimize the preset construction plans of other construction nodes in the first node combination according to the first optimization plan, and analyze the impact of the decline of the anti-sliding stability index, the anti-overturning stability index and the anti-seepage index with the synchronously optimized plan.

[0045] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0046] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0047] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A safety quality detection method for a reservoir project, characterized in that: The method comprises: Determine a plurality of construction nodes of the target reservoir project, and a plurality of geological survey features and a plurality of preset construction plans corresponding to the plurality of construction nodes; Determine a first construction node currently in progress, and collect and obtain first real-time geological detection data corresponding to the first construction node; Determine a first geological survey feature and a first preset construction plan corresponding to the first construction node based on the multiple geological survey features and the multiple preset construction plans; Comparing the first geological survey feature with the first real-time geological detection data, analyzing the decline impact of the anti-sliding stability index, the anti-overturning stability index and the anti-seepage index on the first preset construction plan, and generating a first anti-sliding decline index, a first anti-overturning decline index and a first anti-seepage decline index; Safety and quality risks are identified based on the first anti-sliding decline index, the first anti-overturning decline index and the first anti-seepage decline index, and engineering quality inspection of the first construction node is performed according to the risk identification results.

2. The safety quality detection method for reservoir engineering according to claim 1, characterized in that: Generating a first anti-sliding descent index, a first anti-overturning descent index, and a first anti-seepage descent index, including: Performing a difference comparison between the first geological survey feature and the multidimensional attribute feature in the first real-time geological detection data to establish a multidimensional offset vector; According to the first preset construction plan, a preset anti-disturbance analysis channel for anti-sliding performance, anti-overturning performance and anti-seepage performance is established based on the multi-dimensional attribute characteristics; The multi-dimensional offset vector is input into the preset anti-disturbance analysis channel to perform a decline analysis of the anti-slip performance, the anti-overturning performance and the anti-seepage performance, and the first anti-slip decline index, the first anti-overturning decline index and the first anti-seepage decline index are generated.

3. The safety quality detection method for reservoir engineering according to claim 2, characterized in that: According to the first preset construction plan, a preset anti-disturbance analysis channel for anti-sliding performance, anti-overturning performance and anti-seepage performance is established based on the multi-dimensional attribute characteristics, including: Configuring data collection distance constraints based on the multi-dimensional attribute features; According to the first preset construction plan and the distance constraint, a control plan construction monitoring data set is collected, wherein any data in the control plan construction monitoring data set includes a geological feature corresponding to the control construction plan, and a corresponding anti-slip performance index, an anti-overturning performance index, and an anti-seepage performance index; Extract any two data from the construction monitoring data set of the control scheme, take one of the data as the reference control data, calculate the geological characteristic offset vector sample of the other data relative to the reference control data, and the anti-sliding performance index change vector, anti-overturning performance index change vector and anti-seepage performance index change vector relative to the reference control data; Using geological feature offset vector samples as training input and anti-sliding performance index change vector as output supervision value, the anti-sliding analysis model is trained, and the anti-overturning analysis model and anti-seepage analysis model are trained in the same way; The anti-sliding analysis model, the anti-overturning analysis model and the anti-seepage analysis model are connected in parallel to generate the preset anti-disturbance analysis channel.

4. The safety quality detection method for reservoir engineering according to claim 3, characterized in that: The construction monitoring data set of the control scheme is collected according to the first preset construction scheme and the distance constraint, including: Taking the first preset construction plan as a constraint, collecting a set of reference plans that meet the distance constraint, wherein the reference plans are historical construction plans whose similarity to the first preset construction plan is greater than a preset similarity; The actual geological characteristics and actual anti-slip performance index test values, anti-overturning performance index test values ​​and anti-seepage performance index test values ​​during the construction of the control scheme are collected to establish a control scheme construction monitoring data set corresponding to the control scheme set.

5. The safety quality detection method for reservoir engineering according to claim 1, characterized in that: The safety and quality risk identification is performed based on the first anti-sliding drop index, the first anti-overturning drop index, and the first anti-seepage drop index, and the engineering quality detection of the first construction node is performed according to the risk identification result, including: Determine whether there is an index greater than a preset decline threshold value among the first anti-slip decline index, the first anti-overturning decline index, and the first anti-seepage decline index; If yes, activate the construction plan optimization module to optimize the first preset construction plan and then perform engineering quality inspection on the first construction node; If not, construction will be carried out according to the first preset construction plan and the project quality inspection will be conducted.

6. The safety quality detection method for reservoir engineering according to claim 5, characterized in that: Activating the construction scheme optimization module to optimize the first preset construction scheme and then performing engineering quality inspection of the first construction node includes: Calling a scheme optimization library in the construction scheme optimization module, wherein the scheme optimization library includes a plurality of optimization schemes and corresponding optimization degrees of anti-slip performance, anti-overturning performance, and anti-seepage performance; In the scheme optimization library, multiple target optimization schemes are screened, the optimization degrees of which satisfy the first anti-sliding decline index, the first anti-overturning decline index, and the first anti-seepage decline index; Recommending the multiple target optimization solutions to the construction management terminal, and obtaining the first optimization solution finally returned by the construction management terminal; The first optimization scheme is used for construction and the project quality inspection is carried out.

7. The safety quality detection method for reservoir engineering according to claim 6, characterized in that: Also includes: Determining geographical location information of the multiple construction nodes; Based on the geographical location information and the multiple geological survey features, a correlation analysis of the geological features of the multiple construction nodes is performed to establish multiple node combinations with correlation coefficients greater than a preset coefficient; Determine a first node combination corresponding to the first construction node based on the multiple node combinations; If the first preset construction plan of the first construction node is optimized, the preset construction plans of other construction nodes in the first node combination are synchronously optimized according to the first optimization plan, and the decline impact of the anti-sliding stability index, anti-overturning stability index and anti-seepage index is analyzed with the synchronously optimized plan.

8. Safety quality detection system for reservoir engineering, characterized by: Used to implement the safety quality detection method for reservoir engineering according to any one of claims 1 to 7, the system comprises: Node determination module: determining multiple construction nodes of the target reservoir project, as well as multiple geological survey features and multiple preset construction plans corresponding to the multiple construction nodes; Data acquisition module: determining a first construction node currently in progress, and collecting and acquiring first real-time geological detection data corresponding to the first construction node; A scheme determination module: determining a first geological survey feature and a first preset construction scheme corresponding to the first construction node based on the multiple geological survey features and the multiple preset construction schemes; Analysis module: comparing the first geological survey feature with the first real-time geological detection data, analyzing the decline of the anti-sliding stability index, the anti-overturning stability index and the anti-seepage index of the first preset construction plan, and generating a first anti-sliding decline index, a first anti-overturning decline index and a first anti-seepage decline index; Quality inspection module: safety quality risk identification is performed based on the first anti-slip drop index, the first anti-overturning drop index and the first anti-seepage drop index, and engineering quality inspection of the first construction node is performed according to the risk identification results.

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