A smart construction site management method and system, electronic device and storage medium

Abstract

A kind of wisdom construction site management method, system, electronic equipment and storage medium, involve construction site management technical field.The method includes: obtaining the material information of target construction site;According to material information, generate the material consumption heat map of target construction site, and based on the material consumption density in logistics consumption heat map, the target construction site is divided into multiple material use frequency areas;The material consumption rate corresponding to each material use frequency area is calculated, and based on each material consumption rate, the inventory warning threshold corresponding to each use frequency area is determined;The current material inventory of each material use frequency area is obtained;When there is target use frequency area with material inventory less than corresponding inventory warning threshold, according to the material consumption rate and material inventory of target use frequency area, the corresponding material purchase quantity is determined, and based on each material purchase quantity, the purchase management report of target construction site is generated.The technical scheme provided in the application can improve the efficiency of construction site management.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of construction site management, and particularly relates to a smart construction site management method and system, an electronic device and a storage medium. BACKGROUND

[0002] With the rapid development of the construction industry, the scale and complexity of engineering projects are increasing, and the requirements for material management are also increasing. In engineering construction, effective material management is a key factor in controlling costs, ensuring schedules and quality.

[0003] At present, the existing construction site management method mainly relies on relevant staff to check the material inventory at fixed intervals for construction site management. However, in actual application, due to the suddenness of the construction situation on the construction site, only using the existing fixed period to check the material inventory often makes it difficult to manage materials in a timely manner, causing deviations between material supply and actual demand, thereby reducing the efficiency of construction site management. SUMMARY

[0004] The present application provides a smart construction site management method, system, electronic device and storage medium, which can improve the efficiency of construction site management.

[0005] In a first aspect, the present application provides a smart construction site management method, comprising:

[0006] obtaining material information of a target construction site;

[0007] generating a material consumption heat map of the target construction site according to the material information, and dividing the target construction site into a plurality of material usage frequency areas based on the material consumption density in the material consumption heat map;

[0008] calculating a material consumption rate corresponding to each of the material usage frequency areas, and determining an inventory warning threshold corresponding to each of the usage frequency areas based on the material consumption rate;

[0009] obtaining the current material inventory of each of the material usage frequency areas;

[0010] when there is a target usage frequency area whose material inventory is less than the corresponding inventory warning threshold, determining a corresponding material procurement quantity according to the material consumption rate and the material inventory of the target usage frequency area, and generating a procurement management report of the target construction site based on each of the material procurement quantities.

[0011] In a second aspect of the present application, a smart construction site management system is provided, comprising:

[0012] an information acquisition module configured to obtain material information of a target construction site;

[0013] a region division module configured to generate a material consumption heat map of the target construction site according to the material information, and divide the target construction site into a plurality of material usage frequency regions based on material consumption density in the material consumption heat map;

[0014] a threshold determination module configured to calculate a material consumption rate corresponding to each of the material usage frequency regions, and determine an inventory warning threshold corresponding to each of the usage frequency regions based on the material consumption rate;

[0015] a management report generation module configured to obtain a current material inventory of each of the material usage frequency regions, determine a corresponding material purchase quantity according to a material consumption rate and a material inventory of a target usage frequency region when the target usage frequency region has a material inventory less than the inventory warning threshold, and generate a purchase management report of the target construction site based on the material purchase quantity.

[0016] In a third aspect of the present application, an electronic device is provided, which includes a memory, a processor, and a program stored in the memory and executable on the processor, and the program can be loaded and executed by the processor to implement the intelligent construction site management method.

[0017] In a fourth aspect of the present application, a computer readable storage medium is provided, which stores a computer program, and the computer program can be executed by a processor to implement the intelligent construction site management method.

[0018] In summary, the one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0019] By using the above technical solutions, the material information of the target construction site is obtained and the material consumption heat map is generated, thereby realizing the visual analysis of the material usage of the construction site. Based on the material consumption density in the material consumption heat map, the system divides the target construction site into a plurality of material usage frequency regions, so that the material management is more targeted. By calculating the material consumption rate of each material usage frequency region and determining the corresponding inventory warning threshold, a dynamic material warning mechanism is established, which overcomes the defect that the fixed period check method in the prior art cannot respond to sudden construction conditions in time. When the system real-time monitors that the material inventory of a target usage frequency region is lower than the inventory warning threshold, the required material purchase quantity is calculated according to the material consumption rate and the current inventory of the region, and a purchase management report is automatically generated. Through the technical solution, the accurate matching of material supply and construction demand is realized, and the deviation problems such as insufficient material supply or inventory accumulation are avoided, thereby improving the efficiency of construction site management. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1is a flowchart of a smart construction site management method provided by an embodiment of the present application.

[0021] Figure 2 is a structural diagram of a smart construction site management system provided by an embodiment of the present application.

[0022] Figure 3 is a structural diagram of an electronic device provided by an embodiment of the present application.

[0023] Legend: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0024] In order for those skilled in the art to better understand the technical solutions in the present specification, the technical solutions in the present specification will be clearly and completely described below in conjunction with the drawings in the embodiments of the present specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all.

[0025] In the description of the embodiments of the present application, the words such as "for example" or "for instance" are used to represent an example, illustration or description. Any embodiment or design scheme described as "for example" or "for instance" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words such as "for example" or "for instance" are intended to present the relevant concept in a specific manner.

[0026] In the description of the embodiments of the present application, the term "a plurality of" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly indicating the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more features. The terms "include", "contain", "have" and their variants mean "include but are not limited to", unless otherwise specifically emphasized.

[0027] The embodiments of the present application provide a smart construction site management method. In one embodiment, please refer to Figure 1 , Figure 1 is a flowchart of a smart construction site management method provided by an embodiment of the present application. The method can be implemented by relying on a computer program, which can be integrated in an application or run as an independent tool application. The method can also be implemented by relying on a single-chip microcomputer or run on a smart construction site management system based on the von Neumann architecture. Specifically, the method can include the following steps:

[0028] Step 101: Obtain material information of the target construction site.

[0029] The material information refers to a set of descriptive data of the attribute characteristics and use state of various building materials, equipment, tools and other materials in the target construction site.

[0030] Specifically, since the construction site material information is the basic data for intelligent management, the material information of the target construction site needs to be obtained first. A plurality of Internet of Things data collection terminals can be arranged in the target construction site, including an RFID reader, a GPS positioning module and a mobile communication module. When the material enters the site, the RFID reader reads the material basic information stored in the RFID tag attached to the material, including the material number, material name, material specification, material quantity, etc. At the same time, the GPS positioning module can collect the geographic position information of the material in real time, and upload the material basic information and geographic position information to the construction site management server through the mobile communication module. In addition, the video images of the material can also be collected through the video monitoring equipment arranged in the construction site area, and the computer vision technology can be used to analyze the video images to identify the stacking position, use state and other dynamic information of the material. After the construction site management server receives the information uploaded by each data collection terminal, it integrates these information to form complete material information containing static attributes and dynamic state of the material. In this way, the construction site material can be monitored in all directions and in real time, providing data support for subsequent management measures such as generating material consumption heat map and dividing material use frequency area based on material information, thereby breaking through the limitations of traditional fixed cycle manual inspection method and improving the collection efficiency and accuracy of material information.

[0031] Step 102: According to the material information, generate a material consumption heat map of the target construction site, and divide the target construction site into a plurality of material use frequency areas based on the material consumption density in the logistics consumption heat map.

[0032] The material consumption heat map in the embodiments of the present application refers to a graphical expression that visualizes and displays the material flow frequency of different areas in the target construction site in different color depths by heat rendering.

[0033] The material consumption density in the embodiments of the present application refers to the material flow frequency per unit area in a specific area of the target construction site, which is calculated by dividing the material flow frequency of the area by the sampling period and then by the area. The material consumption density reflects the concentration of material use in the area, and the larger the value, the more frequent the material use in the area, which is an important basis for dividing the material use frequency area.

[0034] The material use frequency area in the embodiments of the present application refers to a continuous area with similar material use characteristics divided according to the peak characteristics of the material consumption density distribution curve.

[0035] Specifically, to realize intuitive display and fine management of the material use situation of the construction site, the embodiments of the present application generate a material consumption heat map based on the obtained material information and divide the material use frequency area. First, according to the real-time geographic position coordinates of each material recorded in the material information, the movement trajectory of the material in the construction site is tracked and recorded, thereby generating the material flow trajectory of the target construction site. On this basis, the material flow times of each area are statistically analyzed to generate a statistical graph reflecting the material flow frequency distribution. Then, the material flow frequency distribution graph is processed in the manner of heat rendering: the sampling period of each area in the preset time period is obtained, the material flow frequency is calculated based on the sampling period and the material flow times, the areas higher than the frequency threshold are marked as high-heat areas, the areas lower than the frequency threshold are marked as low-heat areas, and the corresponding rendering colors are selected from the preset heat map template library, and finally the material consumption heat map of the target construction site is constructed. Next, based on the material consumption density displayed in the heat map, a material consumption density distribution curve is drawn, and the area between adjacent wave peaks is divided into the same material use frequency area by identifying the wave peak positions in the curve. Considering the management efficiency, when the area of a certain material use frequency area is smaller than the preset area threshold, it is merged with the adjacent area. In this way, the construction site space can be divided into multiple areas with significantly different material use characteristics, providing a basis for subsequent implementation of differentiated material management strategies, and at the same time, the visual display manner of the heat map is also convenient for the management personnel to intuitively master the overall situation of the material use of the construction site, improving the efficiency and accuracy of management decisions.

[0036] Based on the above embodiments, as an optional embodiment, in step 102: generating a material consumption heat map of the target construction site according to the material information, this step can further include the following steps:

[0037] Step 201: generating the material flow trajectory of the target construction site according to the material positions of each material in the material information.

[0038] Specifically, the real-time geographic position coordinates of the material are obtained through the GPS positioning module in the Internet of Things data acquisition terminal, and the coordinate information is recorded together with the time stamp. For each material, the position coordinates at different times are connected in sequence through the time sequence to form the movement trajectory of the material in the construction site. The system superimposes the movement trajectory information of all materials to obtain the material flow trajectory graph of the entire target construction site, which clearly shows the transportation path and activity range of the material in the construction site.

[0039] Step 202: generating a material flow frequency distribution map based on the number of material flow trajectories in each region of the material flow trajectory.

[0040] Specifically, the system first divides the target construction site into a plurality of regular grid cells according to a preset grid size (for example, 5 meters x 5 meters). Then, the number of material flow trajectory strips passing through each grid cell within a preset time period (for example, one week) is counted, and this value is taken as the number of material flow in the grid cell. For each grid cell, the system calculates its material flow frequency, and the calculation formula is: material flow frequency = number of material flow / sampling period. Wherein, the sampling period is the number of hours of the preset time period. The frequency value calculated is plotted according to the position of the grid cell to obtain a two-dimensional distribution map, that is, a material flow frequency distribution map, which shows the material usage of each region of the construction site in numerical form.

[0041] Step 203: rendering the material flow frequency distribution map using heat rendering to obtain a material consumption heat map of the target construction site.

[0042] Specifically, the system first sets a threshold range of material flow frequency, for example, 0-1 times / hour is set as a low frequency interval, 1-5 times / hour is set as a medium frequency interval, and 5 times / hour or more is set as a high frequency interval. Then, a corresponding color scheme is selected from a preset heat map template library, for example, the low frequency interval is mapped to the blue color system, the medium frequency interval is mapped to the yellow color system, and the high frequency interval is mapped to the red color system. For each grid cell in the material flow frequency distribution map, a corresponding color is selected for filling according to its frequency value, and color smoothing transition processing is performed between adjacent grid cells, and finally a color gradient material consumption heat map is formed. In this way, the management personnel can intuitively see the active and idle areas of material use in the construction site, providing a reliable reference basis for subsequent regional division and management decisions. This visual display method based on actual data is more accurate than traditional experience judgment.

[0043] Based on the above embodiment, as an optional embodiment, in step 203: rendering the material flow frequency distribution map using heat rendering to obtain a material consumption heat map of the target construction site, this step can further include the following steps:

[0044] Step 213: obtaining the sampling period of each region in the material flow frequency distribution map; calculating the corresponding material flow frequency based on the sampling period and the number of material flow of each region.

[0045] Specifically, to accurately calculate the material flow frequency of each area and ensure that the generated heat map can truly reflect the material usage, the embodiments of the present application need to consider the actual operation time difference of different areas. Specifically, first, the actual operation records of each area in the material flow frequency distribution diagram within a preset time period are obtained through the construction site management system, including the start time and end time of the operation. For each area, the system statistically aggregates its operation time period, eliminates non-operation time such as rest time and equipment maintenance time, and obtains the effective operation duration of the area, i.e., the sampling period. For example, the total duration of a certain area in a week is 168 hours, but the actual operation time is 120 hours, so the sampling period of the area is 120 hours. Then, the system reads the material flow frequency recorded in the material flow frequency distribution diagram of the area, and divides the material flow frequency by the sampling period to obtain the material flow frequency of the area. Through this frequency calculation method based on actual operation time, the frequency calculation deviation caused by inconsistent operation time of different areas can be avoided, and the material usage between different areas is comparable, providing more accurate data support for subsequent heat map rendering and area division.

[0046] Step 223: When the material flow frequency of any area is greater than or equal to the frequency threshold, mark the area as a high-heat area; when the material flow frequency of any area is less than the frequency threshold, mark the area as a low-heat area.

[0047] Specifically, to reasonably classify the material usage intensity of the construction area and realize differentiated management, the embodiments of the present application set the area heat level based on the material flow frequency. The system first determines the threshold of the material flow frequency by analyzing the historical operation data of the target construction site, combining with the engineering progress requirements and the material usage plan. The frequency threshold can be dynamically adjusted according to the engineering type and the construction stage, for example, the frequency threshold can be set to 3 times / hour in the main structure construction stage, and adjusted to 2 times / hour in the decoration stage. The system reads the material flow frequency calculated for each area, and compares the frequency value with the preset frequency threshold: when the material flow frequency of a certain area is greater than or equal to the frequency threshold, it indicates that the material usage of the area is relatively frequent, and the system automatically marks it as a high-heat area, which needs to be focused on its material supply and turnover efficiency in subsequent management; when the material flow frequency of a certain area is less than the frequency threshold, it indicates that the material usage of the area is relatively less, and the system marks it as a low-heat area, which can appropriately reduce the material reserve level. Through this threshold-based area classification method, the key areas and non-key areas of material usage in the construction site can be identified, providing a basis for formulating targeted material management strategies and improving the precision of material management and resource utilization efficiency.

[0048] Step 233: Based on the preset heat map template library, the rendering color of the heat map corresponding to the material flow frequency of each high-heat region and each low-heat region is determined respectively.

[0049] Specifically, to intuitively display the material usage of each region of the construction site, the preset heat map template library is used to determine the rendering color of different heat regions. The system first constructs a heat map template library containing multiple color schemes, each of which contains a series of color values gradually changing from cold tone to warm tone, for example, gradually changing from dark blue (RGB value is 0, 0, 255) to bright red (RGB value is 255, 0, 0). The system reads the material flow frequency value of each region. For high-heat regions, the frequency value is mapped to the warm tone interval, specifically, the material flow frequency of the region is divided by the frequency threshold to obtain the normalized frequency ratio, and then the corresponding color value in the warm tone color sequence is selected according to the ratio. For example, when the frequency ratio is 1.5, it may correspond to the orange-red color with RGB value (255, 128, 0). For low-heat regions, a similar method is used to map their frequency values to the cold tone interval. The region with a frequency closer to the threshold displays a lighter blue color, and the region with a lower frequency displays a darker blue color. When determining the color, the system will also consider the color difference between adjacent regions, and realize the smooth transition of the color through the interpolation algorithm, avoiding the visual effect of color jump. Through this color mapping-based visualization method, the manager can quickly identify the dense and sparse areas of material usage in the construction site, and the intuitive and hierarchical nature of the color helps to improve the efficiency of material management decisions.

[0050] Step 243: Combine the rendering color of the heat map corresponding to the material flow frequency of each high-heat region and each low-heat region to construct the material consumption heat map of the target construction site.

[0051] Specifically, to present the material usage of the construction site in the form of a heat map, the embodiment of the present application adopts a systematic method to construct the material consumption heat map. The system first acquires the plan layout of the target construction site as the base map, and performs geographic registration according to the preset coordinate system to ensure that the heat map corresponds to the actual construction site position. Then, the system reads the determined heat map rendering colors of each region, and performs color filling on the base map using the SVG vector graphics technology. For high-heat regions, the system fills them with the determined warm color values, and adds a gradient effect to the region boundary, so that the color gradually weakens from the center to the outside, forming a visual effect of heat diffusion; for low-heat regions, the system fills them with the corresponding cool color values, and also adds a boundary gradient effect. During the rendering process, the system also adds a color transition zone between adjacent regions according to the relative position relationship of the regions, calculates the color values of the transition zone through an interpolation algorithm, and ensures that the color transition of the entire heat map is natural and smooth. Finally, the system adds a legend on the heat map, labels the material flow frequency intervals corresponding to different colors, and adds numerical labels to the key regions to display the specific material flow frequency values. Through this visual display method integrating the heat information of multiple regions, the management personnel can globally master the distribution of material usage of the construction site, quickly identify the hot and cold regions of material usage, and provide intuitive decision basis for optimizing material allocation and scheduling.

[0052] On the basis of the above embodiment, as an optional embodiment, in step 102, the target construction site is divided into a plurality of material usage frequency regions, and this step can further include the following steps:

[0053] Step 204: Based on the material consumption density in the logistics consumption heat map, a material consumption density distribution curve of the target construction site is constructed.

[0054] Specifically, to accurately reflect the distribution of material consumption in space, the system constructs a material consumption density distribution curve based on the material consumption heat map. The system first performs grid processing on the heat map, and divides the construction site region into a plurality of grid cells of equal size. For each grid cell, the system inversely calculates the corresponding material consumption density value according to its color value. Then, the system samples at a fixed interval (such as 1 meter) in the X-axis direction, and for each sampling position, calculates the weighted average of the material consumption density of all grid cells in the Y-axis direction to obtain a series of discrete data points of density-position. Finally, the system uses a cubic spline interpolation algorithm to fit these discrete data points into a smooth material consumption density distribution curve, which can truly reflect the continuous change trend of the material consumption density with the spatial position.

[0055] Step 205: Determine the positions of multiple wave peaks in the material consumption density distribution curve; divide the area between adjacent wave peak positions into the same material usage frequency area.

[0056] Specifically, to scientifically divide the material usage area, the system needs to identify feature points in the material consumption density distribution curve and perform area division. The system first calculates the first and second derivatives of the curve at each point using numerical analysis methods. When the first derivative of a point is zero and the second derivative is less than zero, the point is a wave peak position, indicating that the local material consumption density reaches a maximum value. The system identifies all wave peak positions that meet the conditions in turn and sorts these wave peak positions in ascending order of X-axis coordinates. For any two adjacent wave peak positions, the system marks the area between them as the same material usage frequency area and calculates the average material consumption density of the area. This wave peak position-based partitioning method fully considers the natural distribution of material consumption and ensures the rationality of area division.

[0057] Step 206: When the area of any material usage frequency area is less than the area threshold, merge the material usage frequency area with the adjacent material usage frequency area.

[0058] Specifically, to avoid generating too small management areas and improve the practicality of area division, the system needs to optimize the initially divided material usage frequency areas. The system first sets an area threshold, which can be determined according to the actual situation of the construction site, for example, it can be set to 5% of the total area of the construction site. Then, the system calculates the area of each material usage frequency area, and when it finds that the area of a certain area is less than the threshold, it marks it as a region to be merged. For the region to be merged, the system analyzes the material consumption density of its left and right adjacent regions and selects the region with a smaller difference in material consumption density to merge. After merging, the system recalculates the average material consumption density of the merged region and updates the region boundary coordinates. Through this area threshold-based area optimization method, the system ultimately obtains a region division scheme that meets the material usage rules and is convenient for actual management.

[0059] Step 103: Calculate the material consumption rate corresponding to each material usage frequency area, and determine the inventory warning threshold corresponding to each usage frequency area based on the material consumption rate.

[0060] The material consumption rate refers to the amount of material used per unit time in the material usage frequency area of the target construction site. The system calculates the material usage amount per unit time (e.g., per hour, per day) for each material usage frequency area based on data such as material entry records, material exit records, and actual construction records.

[0061] The inventory early warning threshold refers to the minimum safe value of the inventory quantity of each material in the material usage frequency region. When the actual inventory quantity is lower than the threshold, the system will trigger an early warning signal. The threshold is calculated according to the material consumption rate and the safe inventory time.

[0062] Specifically, to achieve accurate management and timely early warning of construction site material inventory, the embodiment of the application proposes an inventory early warning method based on material consumption rate. The system first acquires material usage records in each material usage frequency region, including material type, usage quantity, usage time and other information. For each region, the system calculates the total material consumption in a unit of time, i.e. the material consumption rate. When calculating, the system uses a sliding time window method, such as taking 4 hours as the window length, and statistics the material consumption in the window every 1 hour, and takes the average value in the last 24 hours as the material consumption rate of the region. Based on the calculated material consumption rate, the system further determines the inventory early warning threshold of each region. Specifically, the system first sets a safe inventory time, such as 8 hours, multiplies the time with the material consumption rate to obtain the basic early warning threshold. Then, the system considers factors such as material replenishment cycle, seasonal factors and engineering progress to dynamically adjust the basic early warning threshold. For example, when the rainy season comes, the system will appropriately increase the early warning threshold of materials such as cement which are prone to moisture; when the key node of the project is coming, the system will increase the early warning threshold of related materials according to the construction plan. Through this early warning threshold setting method based on actual consumption data and considering multiple factors, the system can formulate differentiated inventory management strategies for different regions, which not only ensures the timeliness of material supply, but also avoids excessive inventory occupying site and funds.

[0063] On the basis of the above embodiment, as an optional embodiment, in step 103, calculating the material consumption rate corresponding to each material usage frequency region, this step can further include the following steps:

[0064] Step 301: Acquire material requisition information and material return information of each material usage frequency region; based on each material requisition record and each material return record, determine the material consumption quantity of each material usage frequency region at multiple time points.

[0065] Specifically, to accurately grasp the actual material consumption of each material usage frequency area, the system needs to obtain complete material flow records. The system collects material requisition information of each area through Internet of Things devices and site management systems, including requisition time, material type, requisition quantity, requisition personnel, etc.; at the same time, records material return information, including return time, material type, return quantity, return reason, etc. The system sorts these information in chronological order, and takes the preset time interval (such as every hour) as the basis to calculate the actual material consumption at each time point. When calculating, the system uses the method of material requisition quantity minus material return quantity to obtain the net material consumption at this time point. This calculation method based on actual requisition and return records can accurately reflect the material usage of each area at different time points.

[0066] Step 302: For each material usage frequency area, based on the material consumption at each time point, calculate the material consumption difference between adjacent time points of the material usage frequency area.

[0067] Specifically, to grasp the dynamic change trend of material consumption, the system needs to analyze the change of material consumption between adjacent time points. The system processes the material consumption data of each time point in chronological order, and for any two adjacent time points, calculates the difference between the material consumption of the latter time point and the material consumption of the former time point, to obtain the material consumption difference in this period of time. For example, if the material consumption of an area at 8:00 is 100 units, and the material consumption at 9:00 is 150 units, then the material consumption difference in this hour is 50 units. The system stores the calculated difference in chronological order to form a sequence of material consumption differences, and these difference data reflect the real-time change of material consumption.

[0068] Step 303: Based on the material consumption difference between adjacent time points and the time interval, determine the material consumption rate corresponding to the material usage frequency area.

[0069] Specifically, to obtain accurate material consumption rate, the system calculates based on the material consumption difference and time interval. The system first determines the calculation period, such as 24 hours as a period. In each period, the system obtains the material consumption difference between all adjacent time points, and divides by the corresponding time interval to obtain a series of instantaneous material consumption rates. Then, the system performs a weighted average calculation on these instantaneous rates, where the weight can be set according to the distance of time, and the rate of the recent time point is given a larger weight. For example, if the material consumption difference of a certain area in the last three hours is 50, 60 and 40 units respectively, the corresponding instantaneous consumption rate is 50 units / hour, 60 units / hour and 40 units / hour, and assuming the weights are 0.5, 0.3 and 0.2 respectively, the weighted average material consumption rate of the area is 50x0.5+60x0.3+40x0.2=51 units / hour. This time series-based material consumption rate calculation method not only considers the historical data of material use, but also highlights the recent use trend, and can provide accurate data support for subsequent inventory warning.

[0070] On the basis of the above embodiment, as an optional embodiment, in step 103: based on the material consumption rate of each material, the inventory warning threshold corresponding to each use frequency area is determined, this step can also include the following steps:

[0071] Step 304: Obtain the material replenishment time length of the target construction site and the safety construction coefficient of each use frequency area.

[0072] Specifically, to ensure the safety of material supply in each material use frequency area, the system needs to obtain key parameter information. The system first obtains the material replenishment time length data from the construction site management system, which includes the time required from issuing a material application to the material arriving at the construction site, covering application approval time, supplier stock time, transportation time and other links. At the same time, the system obtains the safety construction coefficient of each use frequency area, which is determined according to the construction importance of the area, the construction progress requirement, the weather influence degree and other factors, for example, for the area on the key path of the project, its safety construction coefficient may be set to 1.5, and for the non-key construction area, its safety construction coefficient may be set to 1.2. The acquisition of these parameters provides basic data for subsequent calculation of inventory warning threshold.

[0073] Step 305: Based on the material consumption rate of each material use frequency area and the material replenishment time length, calculate the predicted minimum inventory of each material use frequency area.

[0074] Specifically, to calculate the minimum material inventory required for each material usage frequency area, the system combines material replenishment duration with material consumption rate for analysis. The system uses the product of material consumption rate and material replenishment duration as the calculation formula for the estimated minimum inventory. For example, if the material consumption rate of a certain area is 100 units / hour and the material replenishment duration is 4 hours, the estimated minimum inventory of the area is 400 units. This calculation method takes into account the material consumption demand during the period from issuing a replenishment application to the arrival of materials, ensuring that there will be no shortage of materials during the replenishment process.

[0075] Step 306: The product of the estimated minimum inventory of each material usage frequency area and the safety construction factor is taken as the corresponding inventory warning threshold.

[0076] Specifically, to further improve the reliability of material supply, the system multiplies the estimated minimum inventory by the safety construction factor to obtain the final inventory warning threshold. If the estimated minimum inventory of a certain area is 400 units and the safety construction factor is 1.5, the inventory warning threshold of the area is 600 units. When the actual material inventory of the area is less than 600 units, the system will automatically trigger a replenishment warning. This warning threshold calculation method based on the safety construction factor not only considers normal construction demand but also reserves a safety margin, which can effectively deal with uncertain factors in the construction process, such as sudden urgent construction, adverse weather, etc., ensuring the continuity and stability of construction activities.

[0077] Step 104: Obtain the current material inventory of each material usage frequency area.

[0078] Among them, the material inventory refers to the total amount of materials available for construction use in the material usage frequency area of the target construction site.

[0079] Specifically, to achieve real-time monitoring and early warning of material inventory, the system needs to accurately grasp the current inventory situation of each material usage frequency area. The system collects material inventory data through various technical means: for countable materials such as bagged cement and steel bars, the system uses RFID electronic tags and intelligent sensing devices to record the quantity of materials in and out of the warehouse in real time; for bulk materials such as sand and concrete, the system uses weight sensors and liquid level sensors to monitor the material storage quantity of the yard or silo in real time; for reusable materials such as wood and formwork, the system combines Internet of Things devices and manual inventory methods to record their usage status and inventory location. After filtering and calibration processing, the system calculates the actual material inventory quantity of each area. For example, the cement inventory data of a certain area shows that there are 200 bags of complete inventory in the warehouse, 50 bags temporarily stored at the construction site, and 100 bags in transit, so the current cement inventory quantity of this area is 350 bags. This multi-source data fusion inventory quantity acquisition method not only reflects the material reserve status of each area in a timely manner, but also provides accurate data support for subsequent inventory early warning and replenishment decision-making, improving the real-time and accuracy of material management.

[0080] Step 105: When there is a target usage frequency area with material inventory quantity less than the corresponding inventory early warning threshold, determine the corresponding material procurement quantity based on the material consumption rate and material inventory quantity of the target usage frequency area, and generate a procurement management report for the target construction site based on the material procurement quantities.

[0081] Wherein, the target usage frequency area refers to the material usage frequency area in the target construction site whose current material inventory quantity is lower than the corresponding inventory early warning threshold.

[0082] The material procurement quantity refers to the quantity of materials that need to be purchased to ensure the construction demand of the target usage frequency area.

[0083] The procurement management report refers to the material procurement plan document automatically generated by the system based on the material procurement quantities of each target usage frequency area. This report details the information of the materials that need to be purchased, which can include material usage frequency area identification, material type and specification, procurement quantity, procurement priority, recommended supplier, estimated procurement cost, etc.

[0084] Specifically, to effectively handle the risk of material stock shortage, the system needs to quickly start the replenishment process and scientifically determine the purchase quantity when it finds that the material stock in the target usage frequency area is lower than the warning threshold. The system first calculates the material purchase quantity using the pre-designed calculation formula: material purchase quantity = material consumption rate × (material replenishment duration + safety reserve duration) - current material stock. For example, the cement consumption rate of a certain area is 50 bags / hour, the material replenishment duration is 4 hours, the safety reserve duration is 8 hours, and the current stock is 300 bags. The calculated cement purchase quantity is (50 × (4 + 8) - 300) = 300 bags. This calculation method takes into account the material consumption demand during replenishment and reserves safety stock, which can avoid the problems of insufficient replenishment or stockpiling. After determining the material purchase quantity of each target usage frequency area, the system automatically generates a purchase management report. This report contains the following key information: material demand details of each area (material type, specification, quantity), purchase priority (determined based on the difference between stock and warning threshold), recommended supplier list (selected based on historical supply records), estimated purchase cost, etc. For example, the purchase management report of a certain construction site may show that A area needs to urgently purchase 300 bags of cement (current stock is severely insufficient), and B area needs to regularly purchase 50 tons of steel reinforcement (stock is close to the warning value). The system pushes the purchase management report to the relevant management personnel and can automatically initiate the purchase application process according to the authorized level. This intelligent purchase management method based on material consumption rate and stock quantity realizes the automatic processing from discovering stock risk to generating purchase plan, improving the timeliness and accuracy of material replenishment.

[0085] Based on the above embodiment, as an optional embodiment, in step 105, determining the corresponding material purchase quantity according to the material consumption rate and the material stock quantity of the target usage frequency area, this step can further include the following steps:

[0086] Step 401: Based on the project information of the target construction site, determine the estimated construction period of each target usage frequency area, and based on the estimated construction period and the material consumption rate of each target usage frequency area, determine the corresponding estimated stock.

[0087] Specifically, to accurately predict the material demand in the construction process, the system first determines the expected construction period and the expected inventory of each target frequency-of-use area based on the project information of the target site. The system extracts the construction drawings, construction schedule, bill of quantities and other project information of the target site from the project management system. By analyzing these information, the system can determine the expected construction period of each target frequency-of-use area. For example, the amount of concrete pouring work to be completed in a certain area is 1000 cubic meters, and according to the construction schedule and construction process requirements, the expected construction period is 5 days. After determining the expected construction period, the system calculates the expected inventory in combination with the material consumption rate of each target frequency-of-use area. The calculation formula is: expected inventory = material consumption rate x expected construction period. For example, the concrete consumption rate of the above-mentioned area is 10 cubic meters / hour, and the working time is 8 hours per day, so the expected inventory of concrete in this area is: 10 x 8 x 5 = 400 cubic meters. This inventory prediction method based on construction period and consumption rate can accurately reflect the actual material demand in the construction process.

[0088] Step 402: The inventory difference between the expected inventory of each target frequency-of-use area and the material inventory is taken as the corresponding material purchase quantity.

[0089] Specifically, after determining the expected inventory, the system obtains the required material purchase quantity by calculating the difference between the expected inventory of each target frequency-of-use area and the current material inventory. The specific calculation formula is: material purchase quantity = expected inventory - material inventory. For example, the expected inventory of concrete in a certain target frequency-of-use area is 400 cubic meters, and the current concrete inventory is 100 cubic meters, so the amount of concrete to be purchased is: 400-100 = 300 cubic meters. This purchase quantity determination method based on inventory difference not only considers the material demand during the entire construction period, but also fully utilizes the existing inventory, avoiding the risk of insufficient material supply affecting the construction schedule, and preventing resource waste caused by excessive purchase. Through automatic calculation and analysis by the system, the subjectivity of manual judgment is reduced, making the material purchase decision more scientific and reasonable, and achieving precise matching of the purchase plan and the actual construction demand.

[0090] Reference Figure 2 A smart construction site management system is provided for the embodiments of the present application, which comprises: an information acquisition module, a region division module, a threshold determination module, a management report generation module, wherein:

[0091] The information acquisition module is used to acquire the material information of the target site;

[0092] The region division module is used to generate a material consumption heat map of the target site according to the material information, and divide the target site into a plurality of material frequency-of-use areas based on the material consumption density in the material consumption heat map;

[0093] The threshold determination module is configured to calculate material consumption rates corresponding to each material usage frequency area, and determine inventory warning thresholds corresponding to each usage frequency area based on the material consumption rates;

[0094] The management report generation module is configured to obtain current material inventory amounts of each material usage frequency area, and when there is a target usage frequency area with a material inventory amount less than the corresponding inventory warning threshold, determine a corresponding material purchase quantity according to the material consumption rate and the material inventory amount of the target usage frequency area, and generate a purchase management report of the target construction site based on the material purchase quantity.

[0095] It should be noted that the apparatus provided in the above embodiments is only used as an example to divide the above functional modules to achieve its functions. In actual applications, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be described here.

[0096] The present application also discloses an electronic device. Referring to Figure 3 , Figure 3 is a structural schematic diagram of an electronic device disclosed by the embodiments of the present application. The electronic device 300 can include at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0097] The communication bus 302 is configured to realize the connection and communication between the components.

[0098] The user interface 303 can include a display interface and a camera interface. Optionally, the user interface 303 can further include a standard wired interface and a wireless interface.

[0099] The network interface 304 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0100] The processor 301 can include one or more processing cores. The processor 301 connects various parts within the server through various interfaces and lines, performs various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Alternatively, the processor 301 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 301 can integrate a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU mainly processes operating systems, user interface graphs, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; and the modem is used for processing wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 301, but can be realized by a separate chip.

[0101] The memory 305 can include a random access memory (RAM) and a read-only memory (ROM). Alternatively, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 305 can alternatively be at least one storage device located away from the aforementioned processor 301. Referring to Figure 3 The memory 305 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program of a smart construction site management method.

[0102] In Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an interface for the user to input, and obtain data input by the user; and the processor 301 can be used to invoke an application program stored in the memory 305 and storing a smart construction site management method, which, when executed by one or more processors 301, causes the electronic device 300 to perform the method of one or more of the above-described embodiments. It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all described as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other order or at the same time. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0103] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0104] In several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic. The division of units is only a logical function division. There can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some services interface, device or unit, and can be electrical or other forms.

[0105] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the present embodiment.

[0106] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically independently, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0107] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned memory includes: a U disk, a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0108] The above are only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the disclosure.

[0109] The present application is intended to cover any variations, uses or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field that are not described in the present disclosure. The specification and examples are only considered as exemplary.

Claims

1. A smart construction site management method, characterized in that, The method comprises the following steps: acquiring material information of a target construction site; generating a material consumption heat map of the target construction site according to the material information, and dividing the target construction site into a plurality of material frequency-of-use areas based on the material consumption density in the material consumption heat map; calculating the material consumption rate of each material frequency-of-use area, and determining the inventory warning threshold of each material frequency-of-use area based on the material consumption rate; acquiring the current material inventory of each material frequency-of-use area; when there is a target material frequency-of-use area whose material inventory is less than the inventory warning threshold, determining the corresponding material purchase quantity according to the material consumption rate and the material inventory of the target material frequency-of-use area, and generating a purchase management report of the target construction site based on the material purchase quantity; the method of generating a material consumption heat map of the target construction site according to the material information comprises the following steps: generating a material flow trajectory of the target construction site according to the material location of each material in the material information; generating a material flow frequency distribution map based on the material flow frequency of each area in the material flow trajectory; rendering the material flow frequency distribution map in a heat rendering manner to obtain the material consumption heat map of the target construction site; the method of rendering the material flow frequency distribution map in a heat rendering manner to obtain the material consumption heat map of the target construction site comprises the following steps: acquiring the sampling period of each area in the material flow frequency distribution map; calculating the corresponding material flow frequency based on the sampling period and the material flow frequency of each area; when the material flow frequency of any area is greater than or equal to the frequency threshold, marking the area as a high-heat area, and when the material flow frequency of any area is less than the frequency threshold, marking the area as a low-heat area; determining the heat map rendering color corresponding to the material flow frequency of each high-heat area and each low-heat area based on a preset heat map template library; constructing the material consumption heat map of the target construction site by combining the heat map rendering color corresponding to the material flow frequency of each high-heat area and each low-heat area. 2.The smart construction site management method of claim 1, wherein, the method of dividing the target construction site into a plurality of material frequency-of-use areas based on the material consumption density in the material consumption heat map comprises the following steps: constructing a material consumption density distribution curve of the target construction site based on the material consumption density in the material consumption heat map; determining a plurality of wave peak positions of the material consumption density in the material consumption density distribution curve; dividing the area between adjacent wave peak positions into the same material frequency-of-use area; when the area of any material frequency-of-use area is less than an area threshold, merging the material frequency-of-use area with adjacent material frequency-of-use areas. 3.The smart construction site management method of claim 1, wherein, the method of calculating the material consumption rate of each material frequency-of-use area comprises the following steps: acquiring material requisition information and material return information of each material frequency-of-use area; determining the material consumption amount of each material frequency-of-use area at a plurality of time points based on each material requisition record and each material return record; For each of the material usage frequency areas, based on the material consumption amount at each of the time points, a material consumption amount difference between adjacent time points is calculated for the material usage frequency area; Based on the material consumption amount difference and the time interval between the adjacent time points, a material consumption rate corresponding to the material usage frequency area is determined. 4.The smart construction site management method of claim 1, wherein, The determination of the inventory warning threshold corresponding to each of the usage frequency areas based on the material consumption rate includes: Obtaining the material replenishment time length of the target construction site and the safety construction coefficient of each of the usage frequency areas; Based on the material consumption rate of each of the material usage frequency areas and the material replenishment time length, the minimum inventory amount of each of the material usage frequency areas is calculated; The product of the minimum inventory amount of each of the material usage frequency areas and the safety construction coefficient is taken as the corresponding inventory warning threshold. 5.The smart construction site management method of claim 1, wherein, The determination of the material purchase amount corresponding to the target usage frequency area based on the material consumption rate and the material inventory amount includes: Based on the project information of the target construction site, the expected construction period of each of the target usage frequency areas is determined, and based on the expected construction period and the material consumption rate of each of the target usage frequency areas, the expected inventory amount is determined; The inventory amount difference between the expected inventory amount and the material inventory amount of each of the target usage frequency areas is taken as the corresponding material purchase amount.

6. A smart construction site management system, characterized by, The system includes: An information acquisition module for acquiring material information of a target construction site; A region division module for generating a material consumption heat map of the target construction site according to the material information, and dividing the target construction site into a plurality of material usage frequency areas based on the material consumption density in the material consumption heat map; A threshold determination module for calculating the material consumption rate corresponding to each of the material usage frequency areas, and determining the inventory warning threshold corresponding to each of the usage frequency areas based on the material consumption rate; A management report generation module for obtaining the current material inventory amount of each of the material usage frequency areas; when there is a target usage frequency area whose material inventory amount is less than the corresponding inventory warning threshold, determining the corresponding material purchase amount based on the material consumption rate and the material inventory amount of the target usage frequency area, and generating a purchase management report of the target construction site based on each of the material purchase amounts; The generation of the material consumption heat map of the target construction site according to the material information includes: Generating a material flow trajectory of the target construction site according to the material location of each material in the material information; Generating a material flow frequency distribution map based on the material flow frequency of each area in the material flow trajectory; Rendering the material flow frequency distribution map in a heat rendering manner to obtain the material consumption heat map of the target construction site; The rendering of the material flow frequency distribution map in a heat rendering manner to obtain the material consumption heat map of the target construction site includes: Obtaining the sampling period of each area in the material flow frequency distribution map; Based on the sampling period and the material flow frequency of each area, the corresponding material flow frequency is calculated; When the material flow frequency of any region is greater than or equal to a frequency threshold, the region is marked as a high-heat region, and when the material flow frequency of any region is less than the frequency threshold, the region is marked as a low-heat region; Based on a preset heat map template library, a heat map rendering color corresponding to the material flow frequency of each high-heat region and each low-heat region is determined respectively; A material consumption heat map of the target construction site is constructed in combination with the heat map rendering colors corresponding to the material flow frequencies of each high-heat region and each low-heat region.

7. An electronic device, comprising: The electronic device includes a processor, a memory, a user interface, and a network interface. The memory is configured to store instructions. The user interface and the network interface are configured to communicate with other devices. The processor is configured to execute the instructions stored in the memory to cause the electronic device to perform the intelligent construction site management method of any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the intelligent construction site management method of any one of claims 1-5.

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