Intelligent monitoring system and method for concrete construction pouring site
By deploying a smart monitoring system at the concrete construction site and real-time monitoring and analyzing construction data, the problems of supply and demand imbalance and information delay in traditional supply methods are solved, the continuity and quality of concrete supply are achieved, and construction costs are reduced.
Patent Information
- Application Number
- CN202411972600.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-05-06
AI Technical Summary
Traditional concrete supply methods are difficult to accurately adapt to the dynamically changing construction environment, and are prone to supply and demand imbalances, and delayed information transmission leads to inaccurate concrete arrival time, affecting the construction progress.
A smart monitoring system for concrete construction pouring site is designed, including a monitoring platform, information collection module and conveying module. Multi-angle images are collected by the camera, edge algorithm calculates the surface/volume of the uncasted area, the three-dimensional model analyzes the surface flatness, monitors concrete requirements in real time, and plans the pump truck conveyance path and boom extension distance.
Real-time monitoring and resource optimization of the construction site are achieved, the continuity and quality of concrete supply is ensured, construction costs and manual inspection needs are reduced, and casting efficiency and structural quality are improved.
Smart Images

Figure CN119937381A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of concrete pouring site monitoring, and specifically relates to a concrete construction pouring site intelligent monitoring system and method. Background Art
[0002] In modern construction projects, concrete is one of the indispensable building materials. During the concrete pouring process, cold joints or slow construction progress may occur due to untimely concrete supply. Therefore, it is necessary to ensure the continuity of concrete supply and the quality of concrete pouring. The traditional concrete supply method mainly relies on the production and distribution of ready-mixed concrete plants according to the estimated amount provided by the construction party. However, construction units usually estimate the demand for concrete based on historical data and experience. This method is difficult to accurately adapt to the dynamically changing construction environment and is prone to supply and demand imbalances; and there is often a delay in the transmission of information from the construction site to the concrete mixing plant, which may cause the concrete to arrive at the site too early or too late, affecting the construction progress. Therefore, the present invention provides a smart monitoring system and method for concrete construction pouring site. Summary of the invention
[0003] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes an intelligent monitoring system and method for concrete construction pouring site, which is used to solve the technical problem that traditional methods lack real-time monitoring means for the use of concrete on the construction site and cannot achieve instant response and adjustment.
[0004] To achieve the above-mentioned purpose, the first aspect of the present invention provides a concrete construction pouring site intelligent monitoring system, including a monitoring platform, and an information collection module and a conveying module connected thereto;
[0005] Information collection module: used to divide the construction site into several areas to be poured and extract basic information of the areas to be poured; the basic information includes the attributes of the areas to be poured, the total area / volume of the areas to be poured and the initial concrete volume of the construction site;
[0006] Monitoring platform: used to monitor the pouring status at the pouring site and obtain construction information of the area to be poured; the construction information includes the surface / volume of the unpoured area and the current status of the poured area;
[0007] Analyze the amount of concrete required in the uncast areas based on the area / volume of the uncast areas;
[0008] Perform the next pour based on the current status of the poured area;
[0009] Transport module: used to analyze the required number of pump trucks and plan the transport routes of the pump trucks according to the amount of concrete required in the area to be poured; and to set the extension distance of the pump truck boom.
[0010] Preferably, the properties of the area to be poured include horizontal segmented pouring and vertical segmented pouring;
[0011] If the area to be poured is poured in horizontal sections, the area of the area to be poured is calculated; if the area to be poured is poured in vertical sections, the volume of the area to be poured is calculated.
[0012] Preferably, the monitoring of the pouring conditions at the pouring site and obtaining the construction information of the area to be poured includes:
[0013] See also Figure 2 , a number of cameras are arranged in each area to be poured to collect images of the area to be poured at different angles; wherein the images of the area to be poured include top view images and side view images;
[0014] Based on the image of the area to be poured, the poured area and the unpoured area in the area to be poured are identified, and the surface / volume of the unpoured area is calculated by edge algorithm;
[0015] The images of the area to be poured at different angles are input into the three-dimensional model to obtain the three-dimensional model diagram of the area to be poured; if there is no protrusion in the vertical direction of the three-dimensional image, the surface of the area to be poured is flat, and the next pouring is carried out; if there is a protrusion in the vertical direction of the three-dimensional image, the surface of the area to be poured is uneven, and the current poured area continues to be vibrated.
[0016] The present invention can more comprehensively cover the area to be poured by collecting images through multi-angle cameras, reduce blind spots, and ensure that every corner can be accurately detected. The use of edge algorithms to calculate the area or volume of the unpoured area can provide more accurate data, which is helpful for better planning and control of the pouring volume. Through the three-dimensional model diagram, the overall condition of the pouring area can be intuitively viewed, including protrusions and flatness in the vertical direction, so as to ensure the quality of the structure after pouring. If the surface is found to be uneven, tamping and vibration measures can be taken immediately to ensure that the concrete is dense, enhance the structural strength and durability, reduce the need for manual inspection, and achieve automatic high-quality pouring.
[0017] Preferably, the analysis of the amount of concrete required for the uncast area includes:
[0018] Multiply the surface / volume of the uncast area by the amount of concrete required per unit surface / volume to get the amount of concrete required for the uncast area;
[0019] Determine whether the remaining concrete volume is greater than the amount of concrete required for the unpoured area; if not, concrete needs to be transported; if yes, concrete does not need to be transported.
[0020] The present invention can avoid excessive or insufficient concrete in the unpoured area by accurately calculating the amount of concrete required, thereby optimizing material use and reducing waste; at the same time, timely judging whether concrete needs to be transported can ensure the continuity of the construction process, avoid downtime caused by waiting for concrete, ensure that there is enough concrete for each pouring, avoid problems such as stratification and joints caused by insufficient concrete, and ensure the pouring quality; and through precise control of concrete dosage, avoid additional costs caused by insufficient or excessive concrete, such as overtime pay, transportation costs, etc., directly reducing construction costs.
[0021] Preferably, the number of pump trucks required for the analysis includes:
[0022] The number of pump trucks required is calculated based on the required amount of concrete and the transport capacity of each pump truck.
[0023] Preferably, the planning of the delivery route of the pump truck includes:
[0024] The transportation time Ti of the pump truck is calculated by the formula Ti=(Si-Si0) / Vi0+Si0 / Vi1+Tri+Tdi; the transportation path of the pump truck is the transportation path corresponding to the minimum Ti; wherein, i is the number of the transportation path, which is a positive integer; Si is the distance from the concrete mixing station to the construction site; Si0 is the uphill section; Vi0 is the average of the speed limit on the smooth section; Vi1 is the average of the speed limit on the uphill section; Tir is the red light time; Tid is the traffic jam time.
[0025] The present invention not only takes distance and speed into consideration, but also covers complex factors such as traffic lights and traffic congestion, which often have a significant impact on transportation time in actual situations; among them, the impact of different road sections and terrains on transportation time is considered to make the calculation result more accurate; the addition of the two parameters of red light time and traffic jam time reflects the actual impact of traffic conditions on the transportation time of pump trucks, further improving the accuracy of calculation; by accurately calculating the transportation time and selecting the path with the shortest transportation time, the transportation time and cost of the pump truck can be reduced, and the transportation efficiency can be improved.
[0026] Preferably, the traffic jam time includes:
[0027] Several transport durations Ti of the transport path i with the same departure time point as the current pump truck are extracted from the historical data, and the congestion duration Tdi in the transport path i is calculated by the formula Tdi=[(S-S0) / V0+S0 / V1+Tr] / N; wherein N is the number of samples of the extracted transport durations.
[0028] The present invention filters out transportation records that match the current departure time of the pump truck from the historical database. These records record in detail the duration of the pump truck's transportation along a specific route at the same time point in the past. By sorting and analyzing these data, it is possible to gain insight into traffic flow changes, congestion hotspots, and possible delay factors on the transportation route, thereby evaluating the congestion duration of the transportation route within the pump truck's transportation time period and providing personalized congestion duration prediction for the pump truck.
[0029] Preferably, the setting of the extension distance of the pump truck boom includes:
[0030] Extract the current position of the pump truck at the construction site, calculate the straight-line distance between the pump truck and the area to be poured, and mark it as PL;
[0031] If the area to be poured is poured in horizontal sections, the extension distance of the pump truck boom is PL multiplied by the angle between the boom and the horizontal direction; the angle between the boom and the horizontal direction is the default value;
[0032] If the area to be poured is poured vertically in sections, Among them, CG is the vertical height of the cast.
[0033] Preferably, the straight-line distance between the pump truck and the area to be poured is the shortest straight-line distance.
[0034] The straight-line distance between the pump truck and the area to be poured is the most direct path length between the two points, which is crucial for the operation of the pump truck. It enables the pump truck to cleverly bypass various obstacles at the construction site, such as buildings, electric poles and trees, thereby significantly reducing the possibility of the boom colliding with these obstacles. In addition, by adopting this shortest path, the extension length of the pump truck boom is minimized, which not only reduces the workload of the boom, but also makes the operation easier and reduces the operational risks and difficulties that may be caused by an overly long boom.
[0035] Preferably, the second aspect of the present invention provides a method for intelligent monitoring of a concrete pouring site, comprising the following steps:
[0036] Step 1: Divide the construction site into several areas to be poured, and extract basic information of the areas to be poured;
[0037] Step 2: Monitor the pouring conditions at the pouring site and obtain construction information of the area to be poured; analyze the amount of concrete required for the area to be poured;
[0038] Step 3: Analyze the number of pump trucks required and plan the delivery routes of the pump trucks based on the amount of concrete required for the area to be poured;
[0039] Step 4: Set the extension distance of the pump truck boom.
[0040] Compared with the prior art, the present invention has the following beneficial effects:
[0041] The present invention demonstrates a high degree of refinement and intelligence in construction management. By scientifically dividing the construction site into several areas to be poured and accurately extracting the basic information of each area, the meticulous management and resource optimization of each area are achieved. At the same time, real-time monitoring of the pouring site can quickly capture the latest construction dynamics of the area to be poured, providing strong support for the flexible adjustment of the construction plan; in terms of concrete demand, the present invention effectively avoids the problem of insufficient or excessive concrete supply by accurately analyzing the amount of concrete required in the area to be poured, thereby greatly reducing construction costs. In addition, according to the concrete demand of the area to be poured, the present invention can intelligently analyze the number of pump trucks required and plan the optimal pump truck delivery route to ensure that the concrete can be delivered to the designated location with the shortest transportation time and the lowest cost. In terms of pump truck operation, the present invention not only improves the operating efficiency of the pump truck by reasonably setting the extension distance of the pump truck boom; the present invention realizes real-time monitoring of the pouring site to ensure continuous and stable operation of the construction site. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative work.
[0043] Figure 1 It is a system structure block diagram of the present invention;
[0044] Figure 2 It is a schematic diagram of the process of the present invention;
[0045] Figure 3 It is a schematic flow chart of the method for evaluating the state of a poured area according to the present invention. DETAILED DESCRIPTION
[0046] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0047] See also Figure 1 , the first aspect of the present invention provides a concrete construction pouring site intelligent monitoring system and method, including a monitoring platform, and an information collection module and a conveying module connected thereto;
[0048] The information collection module divides the construction site into several areas to be poured and extracts basic information of the areas to be poured; the basic information includes the properties of the areas to be poured, the total area / volume of the areas to be poured and the initial amount of concrete at the construction site; the areas to be poured are regular shapes, such as rectangles, squares, triangles or circles;
[0049] The monitoring platform monitors the pouring status at the pouring site and obtains the construction information of the area to be poured; the construction information includes the surface / volume of the unpoured area and the current status of the poured area;
[0050] Specifically, a plurality of cameras are arranged in each area to be poured to collect images of the area to be poured at different angles; wherein the images of the area to be poured include a top view image and a side view image;
[0051] For example, a camera may be installed above and on the four sides of the area to be poured, and the camera is usually fixed on a tower crane, a gantry or a temporarily constructed support.
[0052] Based on the image of the area to be poured, the poured area and the unpoured area in the area to be poured are identified by the area recognition model, and the surface / volume of the unpoured area is calculated by the edge algorithm; wherein, according to the shape of the area to be poured, the corresponding area calculation method is selected for calculation;
[0053] The construction of the region recognition model is as follows:
[0054] Several standard pouring area images are collected in advance from historical data as training sets; wherein the several standard pouring area images include unpoured areas and poured areas, and they are marked separately, such as the unpoured area is marked as 0, and the poured area is marked as 1.
[0055] The training set is input into the CNN neural network model for training; through the back propagation algorithm and the optimization algorithm, the model will gradually learn the difference between the characteristics of the poured area and the unpoured area, and perform feature separation. After the training is completed, the obtained CNN neural network model is marked as a region recognition model.
[0056] It should be noted that if the area to be poured is poured in horizontal sections, the area of the area to be poured is calculated; if the area to be poured is poured in vertical sections, the volume of the area to be poured is calculated.
[0057] For example: a certain horizontal segmented pouring area is assumed to be a rectangular ground. The edge pixels of its image are extracted and fitted to obtain the image edge of the area to be poured. The length of the edge in the image is obtained, and according to the ratio of the image size to the actual size, the actual length of the edge of the area to be poured is converted; the area of the area to be poured is calculated using the rectangular area calculation formula.
[0058] A vertical segmented casting area is assumed to be a cylinder. The edge pixels of its image are extracted and fitted to obtain the image height and cross-sectional length. The actual height and length of the area to be cast are converted according to the ratio of the image size to the actual size. The volume of the area to be cast is calculated using the volume calculation formula of the cylinder.
[0059] The images of the area to be poured at different angles are input into the three-dimensional model to obtain the three-dimensional model diagram of the area to be poured; if there is no protrusion in the vertical direction of the three-dimensional image, the surface of the area to be poured is flat, and the next pouring is carried out; if there is a protrusion in the vertical direction of the three-dimensional image, the surface of the area to be poured is uneven, and the current poured area continues to be vibrated.
[0060] For example, the acquired images at different angles are input into the computer-aided design (CAD) software, and a detailed three-dimensional model is generated through the image processing algorithm. This three-dimensional model not only contains information in the horizontal direction, but also accurately reflects any changes or irregularities in the vertical direction. By observing the vertical situation of the three-dimensional image, if there are tiny protrusions on the concrete surface in some areas, this may be caused by insufficient vibration before or slight displacement of the formwork, and further processing is required; if there is no protrusion, the pouring of this part is completed and the next pouring is carried out;
[0061] Among them, the next pouring time must be from the time when the cement or concrete is mixed with water to the time when it begins to lose plasticity, that is, it begins to harden but has not yet completely hardened. At this stage, the material can still be shaped, and has begun to form a certain structural strength and is no longer easy to flow.
[0062] The transportation module analyzes the number of pump trucks required and plans the transportation routes of the pump trucks based on the amount of concrete required in the area to be poured;
[0063] Specifically, the amount of concrete required for the uncast area is obtained by multiplying the area / volume of the uncast area by the amount of concrete required per unit area / volume;
[0064] Determine whether the remaining concrete volume is greater than the amount of concrete required for the unpoured area; if not, concrete needs to be transported; if yes, concrete does not need to be transported.
[0065] The number of pump trucks required is calculated based on the required amount of concrete and the transport capacity of each pump truck.
[0066] The transportation time Ti of the pump truck is calculated by the formula Ti=(Si-Si0) / Vi0+Si0 / Vi1+Tri+Tdi; the transportation path of the pump truck is the transportation path corresponding to the minimum Ti; wherein, i is the number of the transportation path, which is a positive integer; Si is the distance from the concrete mixing station to the construction site; Si0 is the uphill section; Vi0 is the average of the speed limit on the smooth section; Vi1 is the average of the speed limit on the uphill section; Tir is the red light time; Tid is the traffic jam time.
[0067] The concrete pump truck of the present invention needs to start from the mixing station to transport concrete to different construction sites, where there are several transportation routes. In order to optimize scheduling and improve efficiency, it is necessary to estimate the transportation time of different transportation routes, obtain the optimal transportation route, and ensure continuous work at the construction site; the optimal driving route is obtained through the transportation time of the pump truck; the transportation time is mainly closely related to the driving time of the pump truck on the smooth section of the transportation route, the driving time on the uphill section, the red light time of the transportation route, and the traffic jam time. The sum of the time spent on these several items is the total driving time required for the transportation route. If the time spent on each item is relatively long, it indicates that the pump truck needs to spend a long time on the transportation route, which is not the optimal transportation route; if the time spent on each item is relatively short, and is shorter than the transportation time of other transportation routes, it is the optimal transportation route, which can reach the construction site the fastest and ensure continuous work at the construction site.
[0068] The traffic jam time analysis process is as follows:
[0069] Several transport durations Ti of the transport path i with the same departure time point as the current pump truck are extracted from the historical data, and the congestion duration Tdi in the transport path i is calculated by the formula Tdi=[(Si-Si0) / Vi0+Si0 / Vi1+Tri] / N; wherein N is the number of samples of the extracted transport durations.
[0070] For example: Assuming that the pump truck is ready to depart from the mixing station to the construction site at 2 pm, if the historical records of the past month are extracted, the transportation time of several times along a certain transportation route at the same departure time is extracted; assuming that the sample data of the transportation time is 45min, 40min, 47min, 42min, and 39min (a large number of sample data are selected in the actual estimation to ensure the reliability of the data); the total length of the transportation route is 20km; among them, the uphill section included in the entire transportation route is 5km in total; through the speed limit of the section, the speed limit value of each smooth section of the transportation route is obtained, and the average processing is performed to obtain the driving speed of the pump truck on the smooth section of the transportation route, which is assumed to be 60km / h; similarly, the speed limit value of each uphill section of the transportation route is obtained, and the average processing is performed to obtain the driving speed of the pump truck on the uphill section of the transportation route, which is assumed to be 40km / h; if the red light time is 6min in total, that is, 0.1h;
[0071] Excluding the traffic jam time, the required transportation time is (20-5) / 60+5 / 40+0.1=0.475h=28.5min;
[0072] When calculating the transportation time of 45 minutes, the traffic jam time = 45-28.5 = 16.5 minutes;
[0073] When calculating the transportation time of 40 minutes, the traffic jam time = 40-28.5 = 11.5 minutes;
[0074] When calculating the transportation time as 47 minutes, the traffic jam time = 47-28.5 = 18.5 minutes;
[0075] When calculating the transportation time of 42 minutes, the traffic jam time = 52-28.5 = 13.5 minutes;
[0076] When calculating the transportation time of 39 minutes, the traffic jam time = 39-28.5 = 10.5 minutes;
[0077] The average traffic jam duration = (16.5 + 11.5 + 18.5 + 13.5 + 10.5) / 5 = 14.1 min, that is, the traffic jam duration of the transport route is 14.1 min.
[0078] And, the extension distance analysis of the pump truck boom is as follows:
[0079] Extract the current position of the pump truck at the construction site, calculate the straight-line distance between the pump truck and the area to be poured, and mark it as PL;
[0080] It should be noted that the straight-line distance between the pump truck and the area to be poured is the shortest straight-line distance; it helps to avoid other obstacles on the construction site (such as buildings, telephone poles, trees, etc.) and reduce the risk of collision between the boom and these obstacles; at the same time, the shortest straight-line distance means that the length of the pump truck boom that needs to be extended is minimized, which not only reduces the workload of the boom, but also reduces the operational difficulty and potential risks caused by excessive boom length; and the shorter distance can reduce the loss and separation of concrete during transportation due to factors such as pipe bending and vibration, thereby ensuring the quality and performance of the concrete.
[0081] If the area to be poured is poured in horizontal sections, the extension distance of the pump truck boom is PL multiplied by the cosine value of the angle between the boom and the horizontal direction, marked as cosθ;
[0082] It should be noted that the angle between the boom and the horizontal direction is the default value; the manufacturer will set a default angle, such as 30° or 45°. These two angles can provide good coverage and operational flexibility in many scenarios, while also ensuring the safety and stability of the boom.
[0083] That is, during horizontal segmented pouring, the extension distance of the pump truck boom = PL / cosθ.
[0084] If the area to be poured is poured vertically in sections, Among them, CG is the vertical height of the cast.
[0085] For example: Assume that the total height of the building is 20 floors, the height of each pouring is 3 meters, and the pouring of the first 10 floors has been completed. Therefore, the vertical height of the pouring CG = 10 × 3 = 30 meters; the pump truck is parked near the bottom of the building, and the horizontal distance PL between it and the area to be poured is 40 meters; through the formula Meters, that is, the extended length of the pump truck boom is 50 meters.
[0086] See also Figure 3 The second aspect of the present invention provides a method for intelligent monitoring of a concrete pouring site, comprising the following steps:
[0087] Step 1: Divide the construction site into several areas to be poured, and extract basic information of the areas to be poured;
[0088] Step 2: Monitor the pouring conditions at the pouring site and obtain construction information of the area to be poured; analyze the amount of concrete required for the area to be poured;
[0089] Step 3: Analyze the number of pump trucks required and plan the delivery routes of the pump trucks based on the amount of concrete required for the area to be poured;
[0090] Step 4: Set the extension distance of the pump truck boom.
[0091] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.
[0092] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.
Claims
1. A smart monitoring system and method for concrete pouring site, characterized in that: It includes a monitoring platform, and an information collection module and a transmission module connected thereto; Information collection module: used to divide the construction site into several areas to be poured and extract basic information of the areas to be poured; the basic information includes the attributes of the areas to be poured, the total area / volume of the areas to be poured and the initial concrete volume of the construction site; Monitoring platform: used to monitor the pouring status at the pouring site and obtain construction information of the area to be poured; the construction information includes the surface / volume of the unpoured area and the current status of the poured area; Analyze the amount of concrete required in the uncast areas based on the area / volume of the uncast areas; Perform the next pour based on the current status of the poured area; Transport module: used to analyze the required number of pump trucks and plan the transport routes of the pump trucks according to the amount of concrete required in the area to be poured; and to set the extension distance of the pump truck boom.
2. A concrete construction pouring site intelligent monitoring system and method according to claim 1, characterized in that: The properties of the area to be poured include horizontal segmented pouring and vertical segmented pouring; If the area to be poured is poured in horizontal sections, the area of the area to be poured is calculated; if the area to be poured is poured in vertical sections, the volume of the area to be poured is calculated.
3. A concrete construction pouring site intelligent monitoring system and method according to claim 2, characterized in that: The monitoring of the pouring condition at the pouring site and obtaining the construction information of the area to be poured include: Several cameras are arranged in each area to be poured to collect images of the area to be poured from different angles; wherein the images of the area to be poured include top view images and side view images; Based on the image of the area to be poured, the poured area and the unpoured area in the area to be poured are identified, and the surface / volume of the unpoured area is calculated by edge algorithm; The images of the area to be poured at different angles are input into the three-dimensional model to obtain the three-dimensional model diagram of the area to be poured; if there is no protrusion in the vertical direction of the three-dimensional image, the surface of the area to be poured is flat, and the next pouring is carried out; if there is a protrusion in the vertical direction of the three-dimensional image, the surface of the area to be poured is uneven, and the current poured area continues to be vibrated.
4. A concrete construction pouring site intelligent monitoring system and method according to claim 3, characterized in that: The analysis of the amount of concrete required for the unpoured area includes: Multiply the surface / volume of the uncast area by the amount of concrete required per unit surface / volume to get the amount of concrete required for the uncast area; Determine whether the remaining concrete volume is greater than the amount of concrete required for the unpoured area; if not, concrete needs to be transported; if yes, concrete does not need to be transported.
5. A concrete construction pouring site intelligent monitoring system and method according to claim 4, characterized in that: The number of pump trucks required for the analysis shall include: The number of pump trucks required is calculated based on the required amount of concrete and the transport capacity of each pump truck.
6. The intelligent monitoring system and method for concrete pouring site according to claim 1 is characterized in that: The planning of the delivery route of the pump truck includes: The transportation time Ti of the pump truck is calculated by the formula Ti=(Si-Si0) / Vi0+Si0 / Vi1+Tri+Tdi; the transportation path of the pump truck is the transportation path corresponding to the minimum Ti; wherein, i is the number of the transportation path, which is a positive integer; Si is the distance from the concrete mixing station to the construction site; Si0 is the uphill section; Vi0 is the average of the speed limit on the smooth section; Vi1 is the average of the speed limit on the uphill section; Tir is the red light time; Tid is the traffic jam time.
7. A concrete construction pouring site intelligent monitoring system and method according to claim 6, characterized in that: The traffic jam time includes: Several transport durations Ti of the transport path i with the same departure time point as the current pump truck are extracted from the historical data, and the congestion duration Tdi in the transport path i is calculated by the formula Tdi=[(S-S0) / V0+S0 / V1+Tr] / N; wherein N is the number of samples of the extracted transport durations.
8. The intelligent monitoring system and method for concrete pouring site according to claim 1 is characterized in that: The method of setting the extension distance of the pump truck boom includes: Extract the current position of the pump truck at the construction site, calculate the straight-line distance between the pump truck and the area to be poured, and mark it as PL; If the area to be poured is poured in horizontal sections, the extension distance of the pump truck boom is PL multiplied by the angle between the boom and the horizontal direction; the angle between the boom and the horizontal direction is the default value; If the area to be poured is poured vertically in sections, the boom of the pump truck Among them, CG is the vertical height of the cast.
9. A concrete construction pouring site intelligent monitoring system and method according to claim 8, characterized in that: The straight-line distance between the pump truck and the area to be poured is the shortest straight-line distance.
10. A method for intelligent monitoring of a concrete construction pouring site, based on the operation of an intelligent monitoring system for a concrete construction pouring site according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Divide the construction site into several areas to be poured, and extract basic information of the areas to be poured; Step 2: Monitor the pouring conditions at the pouring site and obtain construction information of the area to be poured; analyze the amount of concrete required for the area to be poured; Step 3: Analyze the number of pump trucks required and plan the delivery routes of the pump trucks based on the amount of concrete required for the area to be poured; Step 4: Set the extension distance of the pump truck boom.