A wet shotcrete rebound control optimization system for underground caverns of pumped storage power stations
Patent Information
- Application Number
- CN202611203559.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-08-10
- Publication Date
- 2026-10-20
AI Technical Summary
[0004]本发明的目的在于克服现有技术的不足，适应现实需要，提供一种抽水蓄能电站地下洞室群湿喷混凝土回弹控制优化系统，以解决当前在地下洞室群施工过程中，由于各施工区域的空间形态、围岩表面状态及施工环境存在差异，喷射距离、喷射角度、喷射风压、喷射流量以及混凝土材料状态等因素相互影响，喷射颗粒与围岩接触时的运动状态容易发生变化，导致不同区域的回弹率存在较大差异，现有湿喷施工主要依靠施工经验或单一工艺参数进行调整，缺少对洞室空间特征、混凝土材料状态及喷射颗粒运动状态的综合分析，难以针对不同施工区域制定相适应的喷射参数和喷射轨迹，容易出现回弹率偏高、材料利用率较低以及喷层均匀性较差等问题，影响地下洞室群湿喷混凝土的施工质量和施工效率的技术问题
[0022]1.本发明通过洞室环境建模模块、材料状态感知模块、颗粒沉积分析模块以及喷射参数优化模块的结合，综合考虑地下洞室群施工区域的空间特征、混凝土材料状态及喷射颗粒运动状态，建立喷射颗粒与施工面的颗粒沉积关系，并依据颗粒沉积状态对喷射距离、喷射角度、喷射风压及喷射流量进行联合优化，使喷射参数能够适应不同施工区域的施工条件，降低湿喷混凝土回弹率，提高混凝土材料利用率。
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Abstract
Description
Technical Field
[0001] This invention relates to the field of wet sprayed concrete construction, specifically to an optimization system for rebound control of wet sprayed concrete in underground cavern groups of pumped storage power stations. Background Technology
[0002] Pumped storage power stations typically consist of underground caverns including underground powerhouses, main transformer caverns, busbar caverns, tailrace surge chambers, and access caverns. To ensure the stability of the surrounding rock and the safety of subsequent structural construction, wet shotcrete is usually used for initial support after the cavern excavation is completed. Wet shotcrete construction involves using wet shotcrete equipment to deliver the mixed concrete to the nozzles via pipelines, where it is sprayed onto the surface of the surrounding rock under the action of compressed air to form a support layer. As pumped storage power stations develop towards deeper burial and larger spans, wet shotcrete construction is gradually adopting mechanized and intelligent equipment. By adjusting parameters such as spraying pressure, spraying distance, spraying angle, and material mix ratio, the quality of the sprayed layer and construction efficiency are improved to meet the requirements of underground cavern support construction.
[0003] During the construction of underground cavern complexes, the spatial morphology, surrounding rock surface condition, and construction environment vary across different construction areas. Factors such as spraying distance, spraying angle, spraying air pressure, spraying flow rate, and concrete material condition interact, causing variations in the motion of the sprayed particles upon contact with the surrounding rock. This results in significant differences in rebound rates across different areas. Current wet spraying methods rely primarily on construction experience or adjustments to single process parameters, lacking a comprehensive analysis of the cavern's spatial characteristics, concrete material condition, and the motion of the sprayed particles. This makes it difficult to develop appropriate spraying parameters and trajectories for different construction areas, easily leading to problems such as high rebound rates, low material utilization, and poor uniformity of the sprayed layer, thus affecting the construction quality and efficiency of wet sprayed concrete in underground cavern complexes. Therefore, a new technical solution is needed to address these issues. Summary of the Invention
[0004] The purpose of this invention is to overcome the shortcomings of existing technologies, adapt to practical needs, and provide an optimized rebound control system for wet-sprayed concrete in underground cavern groups of pumped storage power stations. This system addresses the challenges in current underground cavern construction, where differences in spatial morphology, surrounding rock surface conditions, and construction environment across different construction areas, along with the interplay of factors such as spraying distance, spraying angle, spraying air pressure, spraying flow rate, and concrete material condition, lead to variations in the movement of sprayed particles upon contact with the surrounding rock. This results in significant differences in rebound rates across different areas. Current wet-spraying construction relies primarily on construction experience or adjustments to single process parameters, lacking a comprehensive analysis of cavern spatial characteristics, concrete material condition, and the movement of sprayed particles. This makes it difficult to develop appropriate spraying parameters and trajectories for different construction areas, easily leading to problems such as high rebound rates, low material utilization, and poor uniformity of the sprayed layer, thus affecting the construction quality and efficiency of wet-sprayed concrete in underground cavern groups.
[0005] To achieve the objectives of this invention, the technical solution adopted is as follows: A rebound control and optimization system for wet-shot concrete in underground cavern groups of pumped storage power stations is designed, comprising:
[0006] The cavern environment modeling module is used to acquire three-dimensional spatial information of underground cavern groups, surrounding rock surface morphology information and construction area location information, establish a spatial model of the construction area, and extract spatial features such as dip angle, curvature and normal direction of the construction surface;
[0007] The material state sensing module is used to obtain the discharge temperature, slump, admixture dosage and spraying flow rate of wet sprayed concrete, and to characterize the material state of concrete during spraying.
[0008] The particle deposition analysis module is used to combine the spatial characteristics and material state to establish the relationship between the motion state of the sprayed particles and the particle deposition on the construction surface, and to obtain the incident state, deposition state and rebound state of the sprayed particles.
[0009] The spraying parameter optimization module is used to jointly optimize the spraying distance, spraying angle, spraying air pressure and spraying flow rate based on the particle deposition relationship, and generate the spraying parameters for the corresponding construction area.
[0010] The spray trajectory planning module is used to generate spray trajectories based on the spatial model of the construction area and spray parameters, and to adjust the spray direction and spray sequence for different construction areas.
[0011] The construction feedback module is used to obtain the rebound amount and spray layer thickness after construction, correct the particle deposition relationship, and update the calculation results of the spraying parameter optimization module.
[0012] Preferably, the cavern environment modeling module includes a three-dimensional modeling unit, a surrounding rock surface identification unit, and a spatial feature extraction unit. The spatial feature extraction unit is used to extract the dip angle, curvature, normal direction, and adjacent structural boundary information of the construction surface.
[0013] Preferably, the material state sensing module includes a discharge temperature detection unit, a slump detection unit, an admixture ratio detection unit, and a spraying flow rate detection unit. Each detection unit synchronously acquires material state data before concrete spraying and forms a material state parameter set.
[0014] Preferably, the particle deposition analysis module includes a particle motion analysis unit, an impact state analysis unit, and a deposition state calculation unit. The particle motion analysis unit calculates the particle motion trajectory based on the injection parameters. The impact state analysis unit determines the incident angle and impact kinetic energy of the particles impacting the construction surface. The deposition state calculation unit calculates the particle deposition state based on the particle motion trajectory, impact state, and material state.
[0015] Preferably, the deposition state calculation unit determines the particle adhesion degree and rebound state of the construction surface based on the particle deposition state, and generates the rebound evaluation result corresponding to the construction area.
[0016] Preferably, the spraying parameter optimization module includes a spraying angle adjustment unit, a spraying distance adjustment unit, a spraying air pressure adjustment unit, and a spraying flow rate adjustment unit. Each adjustment unit jointly determines the spraying parameters corresponding to the construction area based on the rebound evaluation results.
[0017] Preferably, the spray trajectory planning module divides the construction area into an arch construction area, a side wall construction area, and an intersection node construction area based on the construction area spatial model, and generates spray trajectories for the corresponding construction areas.
[0018] Preferably, the spray trajectory planning module adjusts the spray direction according to the normal direction of the construction surface, so that the spray direction and the normal direction of the construction surface are kept within a preset angle range.
[0019] Preferably, the construction feedback module includes a rebound amount acquisition unit and a spray layer thickness detection unit. The rebound amount acquisition unit acquires rebound amount data of the construction area, and the spray layer thickness detection unit acquires spray layer thickness data of the construction area. The acquisition results are fed back to the particle deposition analysis module to update the particle deposition state calculation results.
[0020] Preferably, the injection parameter optimization module redetermines the injection parameters based on the updated particle deposition state and outputs the injection parameters for the next construction area.
[0021] Compared with the prior art, the beneficial effects of the present invention are as follows:
[0022] 1. This invention combines a cavern environment modeling module, a material state perception module, a particle deposition analysis module, and a spraying parameter optimization module. It comprehensively considers the spatial characteristics of the underground cavern construction area, the state of concrete materials, and the movement state of sprayed particles. It establishes the particle deposition relationship between sprayed particles and the construction surface, and optimizes the spraying distance, spraying angle, spraying air pressure, and spraying flow rate based on the particle deposition state. This allows the spraying parameters to adapt to the construction conditions of different construction areas, reduce the rebound rate of wet-sprayed concrete, and improve the utilization rate of concrete materials.
[0023] 2. This invention combines a spray trajectory planning module and a spray parameter optimization module to generate corresponding spray trajectories based on the spatial model of the construction area and the normal direction of the construction surface. It also adjusts the spray direction and spray sequence based on the optimized spray parameters, so that the sprayed particles can adhere to the surrounding rock surface in a more reasonable incident state, improve the uniformity of the spray layer thickness and the adhesion quality of the spray layer, reduce local missed spraying, accumulation and rework, and improve the construction quality of wet sprayed concrete in underground cavern groups.
[0024] 3. This invention, through the cooperation of a construction feedback module, a particle deposition analysis module, and a spraying parameter optimization module, collects and analyzes the rebound amount and spray layer thickness after construction, and corrects the particle deposition state based on the feedback results, redetermines the spraying parameters for subsequent construction areas, so that the spraying parameters can be adjusted according to changes in construction conditions, improves the system's adaptability to different cavern areas and construction conditions, reduces errors caused by manual experience adjustments, lowers construction costs, and improves the efficiency of wet sprayed concrete construction in underground cavern groups. Attached Figure Description
[0025] Figure 1 This is an overall schematic diagram of the present invention;
[0026] Figure 2 This is a schematic diagram of the cavern environment modeling module of the present invention;
[0027] Figure 3 This is a schematic diagram of the material state sensing module of the present invention;
[0028] Figure 4 This is a schematic diagram of the particle deposition analysis module of the present invention;
[0029] Figure 5 This is a schematic diagram of the injection parameter optimization module of the present invention;
[0030] Figure 6 This is a schematic diagram of the construction feedback module of the present invention. Detailed Implementation
[0031] The present invention will be further described below with reference to the accompanying drawings and embodiments:
[0032] A rebound control optimization system for wet-shot concrete in underground cavern groups of pumped storage power stations, see [link / reference]. Figures 1 to 6 ,include:
[0033] The cavern environment modeling module is used to acquire three-dimensional spatial information of underground cavern groups, surrounding rock surface morphology information and construction area location information, establish a spatial model of the construction area, and extract spatial features such as dip angle, curvature and normal direction of the construction surface;
[0034] The material state sensing module is used to obtain the discharge temperature, slump, admixture dosage and spraying flow rate of wet sprayed concrete, and to characterize the material state of concrete during spraying.
[0035] The particle deposition analysis module is used to combine spatial characteristics and material state to establish the relationship between the motion state of the sprayed particles and the particle deposition on the construction surface, and to obtain the incident state, deposition state and rebound state of the sprayed particles.
[0036] The spraying parameter optimization module is used to jointly optimize the spraying distance, spraying angle, spraying air pressure and spraying flow rate based on the particle deposition relationship, and generate the spraying parameters for the corresponding construction area.
[0037] The spray trajectory planning module is used to generate spray trajectories based on the spatial model of the construction area and spray parameters, and to adjust the spray direction and spray sequence for different construction areas.
[0038] The construction feedback module is used to obtain the rebound amount and spray layer thickness after construction, correct the particle deposition relationship, and update the calculation results of the spraying parameter optimization module.
[0039] Preferably, the cavern environment modeling module includes a 3D modeling unit, a surrounding rock surface identification unit, and a spatial feature extraction unit. The spatial feature extraction unit is used to extract the dip angle, curvature, normal direction, and adjacent structural boundary information of the construction surface.
[0040] Specifically, the cavern environment modeling module includes a 3D modeling unit, a surrounding rock surface identification unit, and a spatial feature extraction unit. The spatial feature extraction unit is used to extract the dip angle, curvature, normal direction, and adjacent structural boundary information of the construction surface.
[0041] More specifically, the material state sensing module includes a discharge temperature detection unit, a slump detection unit, an admixture ratio detection unit, and a spraying flow rate detection unit. Each detection unit synchronously acquires material state data before concrete spraying and forms a set of material state parameters.
[0042] Furthermore, the particle deposition analysis module includes a particle motion analysis unit, an impact state analysis unit, and a deposition state calculation unit. The particle motion analysis unit calculates the particle motion trajectory based on the jetting parameters, the impact state analysis unit determines the incident angle and impact kinetic energy of the particles impacting the construction surface, and the deposition state calculation unit calculates the particle deposition state based on the particle motion trajectory, impact state, and material state.
[0043] Furthermore, the deposition state calculation unit determines the degree of particle adhesion and rebound state of the construction surface based on the particle deposition state, and generates the rebound evaluation results corresponding to the construction area.
[0044] It is worth noting that the spraying parameter optimization module includes a spraying angle adjustment unit, a spraying distance adjustment unit, a spraying air pressure adjustment unit, and a spraying flow rate adjustment unit. Each adjustment unit jointly determines the spraying parameters corresponding to the construction area based on the rebound evaluation results.
[0045] It is worth noting that the spray trajectory planning module divides the construction area into the arch construction area, the side wall construction area, and the intersection node construction area based on the construction area spatial model, and generates the corresponding spray trajectory for each construction area.
[0046] It is worth mentioning that the spray trajectory planning module adjusts the spray direction according to the normal direction of the construction surface, so that the spray direction and the normal direction of the construction surface are kept within a preset angle range.
[0047] It is worth emphasizing that the construction feedback module includes a rebound volume acquisition unit and a spray layer thickness detection unit. The rebound volume acquisition unit acquires the rebound volume data of the construction area, and the spray layer thickness detection unit acquires the spray layer thickness data of the construction area. The acquisition results are then fed back to the particle deposition analysis module to update the particle deposition state calculation results.
[0048] Notably, the injection parameter optimization module re-determines the injection parameters based on the updated particle deposition state and outputs the injection parameters for the next construction area.
[0049] Example 1
[0050] This embodiment uses the wet-sprayed concrete support construction of the underground powerhouse cavern complex of a pumped storage power station as an example. The construction area includes the underground powerhouse arch, sidewalls, and intersections of traffic tunnels. Before construction, the cavern environment modeling module is first activated to perform spatial modeling of the construction area.
[0051] The cavern environment modeling module acquires the three-dimensional spatial information of the underground cavern group through a three-dimensional laser scanning device, and establishes a spatial model of the construction area by combining the scanning data of the surrounding rock surface. The surrounding rock surface identification unit identifies the contour of the surrounding rock, and the spatial feature extraction unit calculates the dip angle, curvature, normal direction and adjacent structural boundary information of the construction surface. According to the spatial features, the construction area is divided into the arch construction area, the sidewall construction area and the intersection node construction area, providing basic data for subsequent spraying parameter optimization.
[0052] After the construction area modeling is completed, the material state perception module begins to collect construction state parameters of wet sprayed concrete. Among them, the discharge temperature detection unit detects the concrete discharge temperature as 18-22℃, the slump detection unit detects the concrete slump as 180-210mm, the admixture ratio detection unit obtains the actual dosage of accelerator, and the spraying flow rate detection unit obtains the concrete spraying flow rate per unit time. All detection data are synchronously formed into a material state parameter set and sent to the particle deposition analysis module.
[0053] The particle deposition analysis module combines the spatial model of the construction area and material state parameters to analyze the movement process of the sprayed particles. The particle motion analysis unit calculates the trajectory of the sprayed particles based on the current spray distance, spray angle, spray wind pressure and spray flow rate. The impact state analysis unit calculates the incident angle and impact kinetic energy of the sprayed particles impacting the surrounding rock surface. The deposition state calculation unit analyzes the deposition state of the sprayed particles on the construction surface based on the material state parameters, and determines the degree of particle adhesion and rebound state, generating the rebound evaluation results for the corresponding construction area.
[0054] Based on the rebound evaluation results, the spraying parameter optimization module jointly adjusts the spraying distance, spraying angle, spraying air pressure, and spraying flow rate. For example, in the arch construction area, the spraying distance is appropriately reduced and the spraying angle is adjusted so that the spraying direction is close to the normal direction of the construction surface; in the sidewall construction area, the spraying flow rate is appropriately increased and the spraying air pressure is reduced; in the intersection construction area, the spraying sequence is adjusted in combination with the spatial structure to reduce mutual interference between sprayed particles, and the corresponding spraying parameters for each construction area are output.
[0055] The spray trajectory planning module generates spray trajectories based on the spatial model of the construction area and the optimized spray parameters. The arch construction area adopts a continuous spray trajectory along the arch axis, the side wall construction area adopts a reciprocating spray trajectory from bottom to top, and the intersection node construction area adopts a segmented spray trajectory. The spray direction is adjusted in real time according to the normal direction of the construction surface to keep the spray direction within the preset angle range, thereby improving the uniformity of the spray layer.
[0056] After wet spraying is completed, the construction feedback module activates the rebound volume acquisition unit and the spray layer thickness detection unit to monitor the construction area. The rebound volume acquisition unit records the actual rebound volume of the construction area, while the spray layer thickness detection unit detects the spray layer thickness distribution and feeds the results back to the particle deposition analysis module. The particle deposition analysis module corrects the particle deposition state calculation results based on the feedback data, and the spraying parameter optimization module redetermines the spraying parameters for subsequent construction areas based on the corrected analysis results, achieving continuous optimization of spraying parameters for different construction areas.
[0057] After adopting the above implementation method, the system can analyze the deposition state of sprayed particles by combining the spatial characteristics and concrete material state of different construction areas of underground cavern groups, and optimize the spraying parameters and spraying trajectory accordingly, so that the sprayed particles adhere to the surrounding rock surface in a more reasonable incident state, effectively reducing the rebound rate of wet sprayed concrete, improving material utilization and spray layer quality, and improving the adaptability and construction efficiency of wet spraying construction of complex underground cavern groups.
[0058] In addition, all components designed in this invention are general standard parts or components known to those skilled in the art. Their structure and principle can be known to those skilled in the art through technical manuals or conventional experimental methods. Those skilled in the art can fully implement them, so there is no need to elaborate. The content protected by this invention does not involve improvements to the internal structure and method.
Claims
1. A rebound control and optimization system for wet-shot concrete in underground cavern groups of pumped storage power stations, characterized in that, include: The cavern environment modeling module is used to acquire three-dimensional spatial information of underground cavern groups, surrounding rock surface morphology information and construction area location information, establish a spatial model of the construction area, and extract spatial features such as dip angle, curvature and normal direction of the construction surface; The material state sensing module is used to obtain the discharge temperature, slump, admixture dosage and spraying flow rate of wet sprayed concrete, and to characterize the material state of concrete during spraying. The particle deposition analysis module is used to combine the spatial characteristics and material state to establish the relationship between the motion state of the sprayed particles and the particle deposition on the construction surface, and to obtain the incident state, deposition state and rebound state of the sprayed particles. The spraying parameter optimization module is used to jointly optimize the spraying distance, spraying angle, spraying air pressure and spraying flow rate based on the particle deposition relationship, and generate the spraying parameters for the corresponding construction area. The spray trajectory planning module is used to generate spray trajectories based on the spatial model of the construction area and spray parameters, and to adjust the spray direction and spray sequence for different construction areas. The construction feedback module is used to obtain the rebound amount and spray layer thickness after construction, correct the particle deposition relationship, and update the calculation results of the spraying parameter optimization module.
2. The wet-shot concrete rebound control optimization system for underground cavern groups in pumped storage power stations according to claim 1, characterized in that, The cavern environment modeling module includes a 3D modeling unit, a surrounding rock surface identification unit, and a spatial feature extraction unit. The spatial feature extraction unit is used to extract the dip angle, curvature, normal direction, and adjacent structural boundary information of the construction surface.
3. The wet-shot concrete rebound control optimization system for underground cavern groups in pumped storage power stations according to claim 1, characterized in that, The material state sensing module includes a discharge temperature detection unit, a slump detection unit, an admixture ratio detection unit, and a spraying flow rate detection unit. Each detection unit synchronously acquires material state data before concrete spraying and forms a material state parameter set.
4. The wet-shot concrete rebound control optimization system for underground cavern groups in pumped storage power stations according to claim 1, characterized in that, The particle deposition analysis module includes a particle motion analysis unit, an impact state analysis unit, and a deposition state calculation unit. The particle motion analysis unit calculates the particle trajectory based on the injection parameters. The impact state analysis unit determines the incident angle and impact kinetic energy of the particles impacting the construction surface. The deposition state calculation unit calculates the particle deposition state based on the particle trajectory, impact state, and material state.
5. The wet-shot concrete rebound control optimization system for underground cavern groups in pumped storage power stations according to claim 4, characterized in that, The deposition state calculation unit determines the particle adhesion degree and rebound state of the construction surface based on the particle deposition state, and generates the rebound evaluation results corresponding to the construction area.
6. The wet-shot concrete rebound control optimization system for underground cavern groups in pumped storage power stations according to claim 1, characterized in that, The injection parameter optimization module includes an injection angle adjustment unit, an injection distance adjustment unit, an injection air pressure adjustment unit, and an injection flow rate adjustment unit. Each adjustment unit jointly determines the injection parameters corresponding to the construction area based on the rebound evaluation results.
7. The wet-shot concrete rebound control optimization system for underground cavern groups in pumped storage power stations according to claim 1, characterized in that, The spray trajectory planning module divides the construction area into an arch construction area, a side wall construction area, and an intersection node construction area based on the construction area spatial model, and generates spray trajectories for each construction area.
8. The wet-shot concrete rebound control optimization system for underground cavern groups in pumped storage power stations according to claim 1, characterized in that, The spray trajectory planning module adjusts the spray direction according to the normal direction of the construction surface, so that the spray direction and the normal direction of the construction surface are kept within a preset angle range.
9. The wet-shot concrete rebound control optimization system for underground cavern groups in pumped storage power stations according to claim 1, characterized in that, The construction feedback module includes a rebound amount acquisition unit and a spray layer thickness detection unit. The rebound amount acquisition unit acquires the rebound amount data of the construction area, and the spray layer thickness detection unit acquires the spray layer thickness data of the construction area. The acquisition results are fed back to the particle deposition analysis module to update the particle deposition state calculation results.
10. The wet-shot concrete rebound control optimization system for underground cavern groups in pumped storage power stations according to claim 1, characterized in that, The injection parameter optimization module re-determines the injection parameters based on the updated particle deposition state and outputs the injection parameters for the next construction area.