Intelligent construction site management method and system, electronic equipment and storage medium

Abstract

The invention discloses an intelligent construction site management method and system, electronic equipment and a storage medium, and relates to the technical field of construction site management. The method comprises the steps of obtaining material information of a target construction site; generating a material consumption thermodynamic diagram of the target construction site according to the material information, and dividing the target construction site into a plurality of material use frequency areas based on the material consumption density in the material consumption thermodynamic diagram; calculating a material consumption rate corresponding to each material use frequency area, and determining an inventory early warning threshold value corresponding to each use frequency area based on each material consumption rate; obtaining the current material inventory of each material use frequency area; and when the target use frequency area with the material inventory smaller than the corresponding inventory early warning threshold exists, determining the corresponding material purchase quantity according to the material consumption rate and the material inventory of the target use frequency area, and generating a purchase management report of the target construction site based on each material purchase quantity. By implementing the technical scheme provided by the invention, the construction site management efficiency can be improved.

Description

Technical Field

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

[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 becoming higher and higher. In engineering construction, effective material management is a key factor in controlling costs, ensuring construction period and quality.

[0003] At present, the existing construction site management methods mainly rely on relevant staff to check material inventory in a fixed cycle to manage the construction site. However, in actual applications, due to the suddenness of construction conditions on the construction site, it is often difficult to manage materials in a timely manner by only using the existing fixed cycle to check material inventory, resulting in a deviation between material supply and actual demand, thereby reducing the efficiency of construction site management. Summary of the invention

[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: Obtain material information of the target construction site; 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 areas based on the material consumption density in the logistics consumption heat map; 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; Obtain the current material inventory of each material usage frequency area; When there is a target usage frequency area where the material inventory is less than the corresponding inventory warning threshold, the corresponding material procurement quantity is determined according to the material consumption rate and material inventory in the target usage frequency area, and based on each material procurement quantity, a procurement management report for the target construction site is generated.

[0006] In a second aspect of the present application, a smart construction site management system is provided, the system comprising: Information acquisition module, used to obtain material information of the 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 regions based on the material consumption density in the logistics consumption heat map; A threshold determination module, used to 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 each material consumption rate; A management report generation module is used to obtain the current material inventory of each material usage frequency area; when there is a target usage frequency area where the material inventory is less than the corresponding inventory warning threshold, the corresponding material procurement quantity is determined according to the material consumption rate and material inventory of the target usage frequency area, and a procurement management report for the target construction site is generated based on the material procurement quantity of each material.

[0007] In a third aspect of the present application, an electronic device is provided, comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein the program can implement an intelligent construction site management method when loaded and executed by the processor.

[0008] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements a smart construction site management method.

[0009] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: By adopting the above technical solution, the material information of the target construction site is obtained and a material consumption heat map is generated, realizing a 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 multiple material usage frequency areas, making material management more targeted. By calculating the material consumption rate of each material usage frequency area and determining the corresponding inventory warning threshold, a dynamic material warning mechanism is established, overcoming the defect that the fixed period inspection method in the prior art cannot respond to sudden construction situations in a timely manner. When the system monitors in real time that the material inventory of a certain target usage frequency area is lower than the inventory warning threshold, it will calculate the required material purchase quantity based on the material consumption rate and current inventory of the area, and automatically generate a procurement management report. Through this technical solution, the precise matching of material supply and construction demand is achieved, avoiding deviation problems such as insufficient material supply or inventory backlog, thereby improving the efficiency of construction site management. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a flowchart of a smart construction site management method provided by an embodiment of the present application; Figure 2 It is a structural diagram of a smart construction site management system provided by an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0011] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0012] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0013] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0014] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0015] The present application embodiment provides a smart construction site management method. In one embodiment, please refer to Figure 1 , Figure 1 This is a flow chart of the smart construction site management method provided by the embodiment of the present application. The method can be implemented by a computer program, which can be integrated into an application or run as an independent tool application. The method can also be implemented by a single-chip microcomputer or run on a smart construction site management system based on the von Neumann system. Specifically, the method can include the following steps: Step 101: Obtain material information of the target construction site.

[0016] Among them, material information refers to a descriptive data set of the attribute characteristics and usage status of various types of construction materials, equipment, tools and other materials in the target construction site.

[0017] Specifically, since the material information of the construction site is the basic data for realizing intelligent management, it is necessary to obtain the material information of the target construction site first. Multiple IoT data acquisition terminals can be deployed in the target construction site, and the IoT data acquisition terminals include RFID readers, GPS positioning modules and mobile communication modules. When the materials enter the site, the basic information of the materials stored in the RFID tags attached to the materials is read by the RFID reader, and the basic information of the materials includes material number, material name, material specification, material quantity, etc.; at the same time, the GPS positioning module can collect the geographical location information of the materials in real time, and upload the basic information and geographical location information of the materials to the construction site management server through the mobile communication module. In addition, the video images of the materials can be collected by the video surveillance equipment deployed in the construction site area, and the video images can be analyzed by computer vision technology to identify the dynamic information such as the stacking location and usage status of the materials. After receiving the information uploaded by each data acquisition terminal, the construction site management server integrates the information to form complete material information including the static attributes and dynamic status of the materials. In this way, all-round and real-time monitoring of construction site materials can be achieved, providing data support for subsequent management measures such as generating material consumption heat maps based on material information and dividing material usage frequency areas, thereby breaking through the limitations of traditional fixed-cycle manual inspection methods and improving the efficiency and accuracy of material information collection.

[0018] Step 102: Generate a material consumption heat map of the target construction site based on the material information, and divide the target construction site into multiple material usage frequency areas based on the material consumption density in the logistics consumption heat map.

[0019] Among them, the material consumption heat map in the embodiment of the present application refers to a graphical expression that visualizes the material flow frequency in different areas of the target construction site in different shades of color through heat rendering.

[0020] In the embodiment of the present application, the material consumption density refers to the material flow frequency per unit area in a specific area of ​​the target construction site, which is calculated by dividing the number of material flows in the area by the sampling period and then by the area of ​​the area. The material consumption density reflects the concentration of material use in the area. The larger the value, the more frequent the material use in the area. It is an important basis for dividing the material use frequency area.

[0021] In the embodiment of the present application, the material usage frequency area refers to a continuous area with similar material usage characteristics divided according to the peak characteristics of the material consumption density distribution curve.

[0022] Specifically, in order to realize the intuitive display and refined management of the material usage of the construction site, the embodiment of the present application generates a material consumption heat map based on the acquired material information and divides the material usage frequency area. First, according to the real-time geographical location coordinates of each material recorded in the material information, the movement trajectory of the material in the construction site is tracked and recorded, so as to generate the material flow trajectory of the target construction site. On this basis, the number of material flows in each area is statistically analyzed to generate a statistical map reflecting the material flow frequency distribution. Then, the material flow frequency distribution map is processed by 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 frequency, the area above the frequency threshold is marked as a high heat area, the area below the frequency threshold is marked as a low heat area, and the corresponding rendering color is 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, the material consumption density distribution curve is drawn, and the area between adjacent peaks is divided into the same material usage frequency area by identifying the peak position in the curve. Considering management efficiency, when the area of ​​a material usage frequency area is less than the preset area threshold, it will be merged with the adjacent area. In this way, the construction site space can be divided into multiple areas with significantly different material usage characteristics, providing a basis for the subsequent implementation of differentiated material management strategies. At the same time, the visualization of the heat map also makes it easier for managers to intuitively grasp the overall situation of material usage on the construction site and improve the efficiency and accuracy of management decisions.

[0023] Based on the above embodiment, 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 may also include the following steps: Step 201: Generate a material flow trajectory of a target construction site according to the material position of each material in the material information.

[0024] Specifically, the real-time geographic location coordinates of the materials are obtained through the GPS positioning module in the IoT data acquisition terminal, and the coordinate information is recorded together with the timestamp. For each material, its location coordinates at different times are connected in sequence through a time series to form the movement trajectory of the material within the construction site. The system superimposes the movement trajectory information of all materials to obtain a material flow trajectory map of the entire target construction site, which clearly shows the transportation path and activity range of the materials within the construction site.

[0025] Step 202: Generate a material flow frequency distribution diagram based on the material flow times in each area of ​​the material flow trajectory.

[0026] Specifically, the system first divides the target construction site into several regular grid units according to a preset grid size (for example, 5 meters x 5 meters). Then, the number of material flow trajectories passing through each grid unit within a preset time period (for example, one week) is counted, and the value is used as the number of material flows in the grid unit. For each grid unit, the system calculates its material flow frequency, and the calculation formula is: Material flow frequency = material flow number / sampling period. Among them, the sampling period is the number of hours in the preset time period. The calculated frequency value is plotted into a two-dimensional distribution map according to the position of the grid unit, that is, a material flow frequency distribution map is obtained, which shows the material usage in various areas of the construction site in numerical form.

[0027] Step 203: Rendering the material flow frequency distribution diagram by using a thermal rendering method to obtain a material consumption thermal diagram of the target construction site.

[0028] Specifically, the system first sets the threshold range of material flow frequency, for example, 0-1 times / hour is set as the low frequency interval, 1-5 times / hour is set as the medium frequency interval, and 5 times / hour or more is set as the high frequency interval. Then, select the corresponding color scheme from the preset heat map template library, for example, map the low frequency interval to the blue series, the medium frequency interval to the yellow series, and the high frequency interval to the red series. For each grid cell in the material flow frequency distribution map, select the corresponding color to fill according to its frequency value, and perform a smooth color transition between adjacent grid cells, and finally form a color gradient material consumption heat map. In this way, managers can intuitively see the active areas and idle areas of material use on the construction site, providing a reliable reference for subsequent regional division and management decisions. This visualization method based on actual data is more accurate than traditional empirical judgment.

[0029] Based on the above embodiment, as an optional embodiment, in step 203: rendering the material flow frequency distribution diagram by heat rendering to obtain the material consumption heat map of the target construction site, this step may also include the following steps: Step 213: Obtain the sampling period of each area in the material flow frequency distribution diagram; calculate the corresponding material flow frequency based on the sampling period of each area and the number of material flows.

[0030] Specifically, in order to accurately calculate the material flow frequency of each area and ensure that the generated heat map can truly reflect the material usage, the embodiment of the present application needs 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 map within the preset time period are obtained through the construction site management system, including the operation start time and end time. For each area, the system statistically summarizes its operation time period, eliminates non-operating time such as rest time and equipment maintenance time, and obtains the effective operation time of the area, that is, 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, then the sampling period of the area is 120 hours. Then, the system reads the number of material flows recorded in the material flow frequency distribution map of the area, divides the number of material flows by the sampling period, and obtains the material flow frequency of the area. Through this frequency calculation method based on actual operation time, the frequency calculation deviation caused by inconsistent regional operation time can be avoided, so that the material usage between different areas is comparable, and more accurate data support is provided for subsequent heat map rendering and regional division.

[0031] Step 223: When the material flow frequency of any area is greater than or equal to the frequency threshold, the area is marked as a high-heat area; when the material flow frequency of any area is less than the frequency threshold, the area is marked as a low-heat area.

[0032] Specifically, in order to reasonably classify the material usage intensity of the construction site area and realize differentiated management, the embodiment of the present application sets the regional 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 the project progress requirements and the material use plan. The frequency threshold can be dynamically adjusted according to the project type and construction stage. For example, the frequency threshold can be set to 3 times / hour in the main structure construction stage and 2 times / hour in the decoration stage. The system reads the material flow frequency calculated in 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 means that the material use in this area is relatively frequent, and the system automatically marks it as a high-heat area. In subsequent management, it is necessary to focus on its material replenishment and turnover efficiency; when the material flow frequency of a certain area is less than the frequency threshold, it indicates that the material use in this area is relatively small, and the system marks it as a low-heat area, and the material reserve level can be appropriately reduced. Through this threshold-based regional classification method, the key areas and non-key areas of material use in the construction site can be identified, providing a basis for formulating targeted material management strategies and improving the accuracy of material management and resource utilization efficiency.

[0033] Step 233: Based on a preset heat map template library, the heat map rendering colors corresponding to the material flow frequencies of each high heat area and each low heat area are determined respectively.

[0034] Specifically, in order to intuitively display the material usage of each area of ​​the construction site, the embodiment of the present application uses a preset heat map template library to determine the rendering color of different heat areas. The system first constructs a heat map template library containing multiple color schemes, each color scheme contains a series of color values ​​that gradually change from cold to warm tones, for example, 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 area, and for high heat areas, maps its frequency value to the warm tone interval, specifically, the material flow frequency of the area is divided by the frequency threshold, and the normalized frequency ratio is obtained, and then the corresponding color value is selected in the warm tone color sequence according to the ratio. For example, when the frequency ratio is 1.5, it may correspond to an orange-red color with an RGB value of (255, 128, 0). For low heat areas, a similar method is used to map its frequency value to the cold tone interval, and the area with a frequency closer to the threshold is displayed as a lighter blue, and the area with a lower frequency is displayed as a darker blue. When determining the color, the system also considers the color difference of adjacent areas, and uses the interpolation algorithm to achieve a smooth transition of colors to avoid the visual effect of color jumps. Through this color mapping-based visualization method, managers can quickly identify dense and sparse areas of material use on the construction site. The intuitiveness and layering of colors help improve the efficiency of material management decisions.

[0035] Step 243: Construct a material consumption heat map of the target construction site by combining the heat map rendering colors corresponding to the material flow frequencies of each high-heat area and each low-heat area.

[0036] Specifically, in order to fully present the use of materials on the construction site in the form of a heat map, the embodiment of the present application adopts a systematic method to construct a material consumption heat map. The system first obtains the floor plan of the target construction site as the base map, and georeferences it according to the preset coordinate system to ensure that the heat map corresponds to the actual construction site location one by one. Then, the system reads the heat map rendering color determined for each area, and uses SVG vector graphics technology to fill the color on the base map. For high-heat areas, the system uses the determined warm color value to fill, and adds a gradient effect to the regional boundary, so that the color gradually weakens from the center to the outside, forming a visual effect of heat diffusion; for low-heat areas, the system uses the corresponding cold color value to fill, and also adds a border gradient effect. During the rendering process, the system will also add a color transition zone between adjacent areas according to the relative position relationship of each area, and calculate the color value of the transition zone through an interpolation algorithm to ensure that the color transition of the entire heat map is natural and smooth. Finally, the system adds a legend to the heat map, marking the material flow frequency interval corresponding to different colors, and adds numerical annotations in key areas to show specific material flow frequency values. Through this visual display method that integrates heat information from multiple areas, managers can have a global grasp of the distribution of material usage on the construction site, quickly identify hot and cold spots for material usage, and provide an intuitive decision-making basis for optimizing material configuration and scheduling.

[0037] Based on the above embodiment, as an optional embodiment, in step 102: dividing the target construction site into a plurality of material usage frequency areas, this step may also include the following steps: Step 204: construct a material consumption density distribution curve of the target construction site based on the material consumption density in the logistics consumption heat map.

[0038] Specifically, in order to accurately reflect the spatial distribution of material consumption, the system constructs a material consumption density distribution curve based on the material consumption heat map. The system first grids the heat map and divides the construction site area into several grid cells of equal size. For each grid cell, the system reversely calculates the corresponding material consumption density value based on its color value. Then, the system samples at fixed intervals (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 density-position discrete data points. 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 material consumption density with spatial position.

[0039] Step 205: determining multiple peak positions of material consumption density in the material consumption density distribution curve; and dividing the area between adjacent peak positions into the same material usage frequency area.

[0040] Specifically, in order to scientifically divide the material usage area, the system needs to identify the characteristic points in the material consumption density distribution curve and perform regional division. The system first uses numerical analysis methods to calculate the first-order derivative and second-order derivative of the curve at each point. When the first-order derivative of a point is zero and the second-order derivative is less than zero, the point is the peak position, indicating that the local material consumption density reaches the maximum value. The system identifies all peak positions that meet the conditions in turn, and sorts these peak positions from small to large according to the X-axis coordinates. For any two adjacent 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 partitioning method based on peak position fully considers the natural distribution law of material consumption and ensures the rationality of regional division.

[0041] Step 206: When the area of ​​any material usage frequency region is smaller than the area threshold, the material usage frequency region is merged with an adjacent material usage frequency region.

[0042] Specifically, in order to avoid the generation of too small management areas and improve the practicality of regional division, the system needs to optimize the preliminary 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. When it is found that the area of ​​a certain area is less than the threshold, the system marks it as an area to be merged. For the area to be merged, the system analyzes the material consumption density of the adjacent areas on the left and right, and selects the area with the smallest difference in material consumption density with the area to be merged for merging. After the merger, the system recalculates the average material consumption density of the merged area and updates the coordinates of the area boundary. Through this area threshold-based regional optimization method, the system finally obtains a regional division scheme that not only meets the material usage rules but also facilitates actual management.

[0043] 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 each material consumption rate.

[0044] The material consumption rate refers to the amount of materials used per unit time in the material usage frequency area of ​​the target construction site. The system calculates the material usage per unit time (such as per hour, per day) in each material usage frequency area through data such as material entry records, material outbound records, and actual construction records.

[0045] The inventory warning threshold refers to the minimum safety value of the material inventory in each material usage frequency area. When the actual inventory is lower than the threshold, the system will trigger a warning signal. The threshold is calculated based on the material consumption rate and safety inventory time.

[0046] Specifically, in order to achieve accurate management and timely warning of construction site material inventory, the embodiment of the present application proposes an inventory warning method based on material consumption rate. The system first obtains the material usage records in each material usage frequency area, including information such as material type, usage quantity and usage time. For each area, the system calculates the total material consumption per unit time, that is, the material consumption rate. When calculating, the system adopts a sliding time window method, such as taking 4 hours as the window length, counting the material consumption in the window every 1 hour, and taking the average value in the last 24 hours as the material consumption rate of the area. Based on the calculated material consumption rate, the system further determines the inventory warning threshold of each area. Specifically, the system first sets the safety inventory time, such as 8 hours, and multiplies the time by the material consumption rate to obtain the basic warning threshold. Then, the system considers the influencing factors such as material replenishment cycle, seasonal factors and project progress, and dynamically adjusts the basic warning threshold. For example, when the rainy season comes, the system will appropriately increase the warning threshold of moisture-sensitive materials such as cement; when the key node of the project is about to arrive, the system will increase the warning threshold of related materials according to the construction plan. Through this method of setting warning thresholds based on actual consumption data and taking multiple factors into consideration, the system can formulate differentiated inventory management strategies for different regions, ensuring the timeliness of material supply while avoiding excessive inventory that takes up space and funds.

[0047] Based on the above embodiment, as an optional embodiment, in step 103: calculating the material consumption rate corresponding to each material usage frequency area, this step may also include the following steps: Step 301: Obtain material requisition information and material return information for each material usage frequency area; determine the material consumption of each material usage frequency area at multiple time points based on each material requisition record and each material return record.

[0048] Specifically, in order to accurately grasp the actual material consumption in each material usage frequency area, the system needs to obtain complete material flow records. The system collects material collection information in each area through IoT devices and construction site management systems, including collection time, material type, collection quantity, collection personnel, etc.; at the same time, it records material return information, including return time, material type, return quantity, return reason, etc. The system organizes this information in chronological order and calculates the actual material consumption at each time point based on the preset time interval (such as every hour). When calculating, the system uses the method of subtracting the material return quantity from the material collection quantity to obtain the net material consumption at that time point. This calculation method based on actual collection and return records can accurately reflect the material usage of each area at different time points.

[0049] 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 in the material usage frequency area.

[0050] Specifically, in order to grasp the dynamic trend of material consumption, the system needs to analyze the changes in material consumption between adjacent time points. The system processes the material consumption data of each time point in chronological order. For any two adjacent time points, the difference between the material consumption at the latter time point and the material consumption at the previous time point is calculated to obtain the material consumption difference during this period. For example, if the material consumption of a certain area at 8:00 is 100 units and the material consumption at 9:00 is 150 units, then the material consumption difference within this hour is 50 units. The system stores the calculated differences in chronological order to form a material consumption difference sequence. These difference data reflect the real-time changes in material consumption.

[0051] Step 303: Determine the material consumption rate corresponding to the material usage frequency area based on the material consumption difference and time interval between adjacent time points.

[0052] Specifically, in order to obtain accurate material consumption rates, the system calculates based on the material consumption difference and time interval. The system first determines the calculation cycle, such as 24 hours as a cycle. In each cycle, the system obtains the material consumption difference between all adjacent time points and divides it 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 at the closer time point is given a larger weight. For example, if the material consumption difference in a certain area within three consecutive hours is 50, 60 and 40 units respectively, the corresponding instantaneous consumption rates are 50 units / hour, 60 units / hour and 40 units / hour. Assuming that the weights are 0.5, 0.3 and 0.2 respectively, the weighted average material consumption rate of the area is 50×0.5+60×0.3+40×0.2=51 units / hour. This material consumption rate calculation method based on time series not only takes into account the historical data of material use, but also highlights the recent usage trend, and can provide accurate data support for subsequent inventory warnings.

[0053] Based on the above embodiment, as an optional embodiment, in step 103: determining the inventory warning threshold corresponding to each usage frequency area based on the consumption rate of each material, this step may also include the following steps: Step 304: Obtain the material replenishment time of the target construction site and the safety construction factor of each usage frequency area.

[0054] Specifically, in order to ensure the safety of material supply in each material usage frequency area, the system needs to obtain key parameter information. The system first obtains material replenishment time data from the construction site management system. This data includes the time required for the entire process from issuing a material application to the arrival of the material at the construction site, covering application approval time, supplier preparation time, transportation time and other links. At the same time, the system obtains the safety construction coefficient of each usage frequency area. This coefficient is determined based on factors such as the construction importance of the area, construction progress requirements, and the degree of weather impact. For example, for areas on the critical path of the project, the safety construction coefficient may be set to 1.5, while for non-critical construction areas, the safety construction coefficient may be set to 1.2. The acquisition of these parameters provides basic data for the subsequent calculation of inventory warning thresholds.

[0055] Step 305: Calculate the estimated minimum inventory quantity for each material usage frequency area based on the material consumption rate and material replenishment time for each material usage frequency area.

[0056] Specifically, in order to calculate the minimum material inventory required for each material usage frequency area, the system combines the material replenishment time with the material consumption rate for analysis. The system uses the product of the material consumption rate and the material replenishment time as the calculation formula for the estimated minimum inventory. For example, if the material consumption rate in a certain area is 100 units / hour and the material replenishment time is 4 hours, the estimated minimum inventory in this area is 400 units. This calculation method takes into account the material consumption demand from the issuance of the replenishment request to the arrival of the material, ensuring that there will be no material shortage during the replenishment process.

[0057] Step 306: The product of the estimated minimum inventory quantity of each material usage frequency area and the safety construction factor is used as the corresponding inventory warning threshold.

[0058] Specifically, in order to further improve the reliability of material supply, the system multiplies the estimated minimum inventory by the safety construction coefficient to obtain the final inventory warning threshold. If the estimated minimum inventory in a certain area is 400 units and the safety construction coefficient is 1.5, the inventory warning threshold for the area is 600 units. When the actual material inventory in 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 coefficient takes into account normal construction needs and reserves a safety margin. It can effectively deal with uncertain factors in the construction process, such as sudden expedited construction, bad weather, etc., to ensure the continuity and stability of construction activities.

[0059] Step 104: Obtain the current material inventory of each material usage frequency area.

[0060] Among them, material inventory refers to the total amount of materials available for construction within the material usage frequency area of ​​the target construction site.

[0061] Specifically, in order 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 a variety of 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 number of materials in and out of the warehouse in real time; for bulk materials such as sand, gravel, and concrete, the system uses weight sensors and liquid level sensors to monitor the material storage volume in the yard or silo in real time; for reusable materials such as wood and templates, the system combines IoT devices and manual inventory methods to record their usage status and inventory location. After filtering and calibrating the collected data, the system calculates the actual material inventory in each area. For example, the cement inventory data in a certain area shows that there are 200 bags of complete inventory in the warehouse, 50 bags temporarily stacked at the construction site, and 100 bags in transit. The current cement inventory in this area is 350 bags. This multi-source data fusion inventory acquisition method can not only timely reflect the material reserve status of each region, but also provide accurate data support for subsequent inventory warnings and replenishment decisions, improving the real-time and accuracy of material management.

[0062] Step 105: When there is a target usage frequency area where the material inventory is less than the corresponding inventory warning threshold, determine the corresponding material procurement quantity based on the material consumption rate and material inventory in the target usage frequency area, and generate a procurement management report for the target construction site based on the procurement quantity of each material.

[0063] The target usage frequency area refers to the material usage frequency area within the target construction site where the current material inventory is lower than the corresponding inventory warning threshold.

[0064] The material procurement volume refers to the quantity of materials that need to be purchased to ensure the construction needs of the target frequency of use area.

[0065] The procurement management report refers to the material procurement plan document automatically generated by the system based on the material procurement volume of each target frequency area. The report records the material information to be purchased in detail, including the material frequency area identification, material type and specification, procurement quantity, procurement priority, recommended suppliers, estimated procurement cost, etc.

[0066] Specifically, in order to deal with the risk of insufficient material inventory in a timely and effective manner, when the system finds that the material inventory in the target usage frequency area is lower than the warning threshold, it needs to quickly start the replenishment process and scientifically determine the purchase quantity. The system first calculates the material purchase quantity, using the preset calculation formula: Material purchase quantity = material consumption rate × (material replenishment time + safety reserve time) - current material inventory. For example, if the cement consumption rate in a certain area is 50 bags / hour, the material replenishment time is 4 hours, the safety reserve time is 8 hours, and the current inventory is 300 bags, then the calculated cement purchase quantity is (50×(4+8)-300) = 300 bags. This calculation method takes into account the material consumption demand during the replenishment period and reserves safety inventory, which can avoid the problem of insufficient replenishment or inventory backlog. After determining the material purchase quantity in each target usage frequency area, the system automatically generates a procurement management report. The report contains the following key information: material demand details for each region (material type, specification, quantity), procurement priority (determined based on the gap between inventory and warning threshold), recommended supplier list (screened based on historical supply records), estimated procurement cost, etc. For example, a procurement management report for a construction site may show that area A needs to urgently purchase 300 bags of cement (current inventory is seriously insufficient), and area B needs to routinely purchase 50 tons of steel bars (inventory is close to the warning value). The system pushes the procurement management report to relevant managers and can automatically initiate the procurement application process based on the authorization level. This intelligent procurement management method based on material consumption rate and inventory realizes the automated processing from discovering inventory risks to generating procurement plans, improving the timeliness and accuracy of material replenishment.

[0067] 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 material inventory in the target usage frequency area, this step may also include the following steps: 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 material consumption rate of each target usage frequency area, determine the corresponding estimated inventory.

[0068] Specifically, in order to accurately predict the material demand during the construction process, the system first determines the estimated construction period and estimated inventory of each target frequency of use area based on the project information of the target construction site. The system extracts the project information such as the construction drawings, construction schedule, and bill of quantities of the target construction site from the project management system. By analyzing this information, the system can determine the estimated construction period of each target frequency of use area. For example, the concrete pouring work to be completed in a certain area is 1,000 cubic meters. According to the construction schedule and construction process requirements, the estimated construction period is 5 days. After determining the estimated construction period, the system calculates the estimated inventory based on the material consumption rate of each target frequency of use area. The calculation formula is: estimated inventory = material consumption rate × estimated construction period. For example, if the concrete consumption rate of the above area is 10 cubic meters / hour and the working time is 8 hours per day, the estimated concrete inventory of the area is: 10×8×5=400 cubic meters. This inventory prediction method based on construction period and consumption rate can accurately reflect the actual material demand during the construction process.

[0069] Step 402: The difference between the estimated inventory quantity and the material inventory quantity in each target usage frequency area is used as the corresponding material purchase quantity.

[0070] Specifically, after determining the estimated inventory, the system calculates the difference between the estimated inventory and the current material inventory in each target frequency of use area to obtain the required material purchase quantity. The specific calculation formula is: Material purchase quantity = estimated inventory - material inventory. For example, the estimated concrete inventory in a target frequency of use area is 400 cubic meters, and the current concrete inventory is 100 cubic meters. The amount of concrete that needs to be purchased is: 400-100=300 cubic meters. This method of determining the purchase quantity based on the difference in inventory not only takes into account the material demand of the entire construction cycle, but also makes full use of the existing inventory, avoiding the risk of insufficient material supply affecting the construction progress, and preventing the waste of resources caused by excessive purchases. Through automatic calculation and analysis by the system, the subjectivity of manual judgment is reduced, making material procurement decisions more scientific and reasonable, and achieving accurate matching of procurement plans with actual construction needs.

[0071] Reference Figure 2 , is a smart construction site management system provided by an embodiment of the present application, the system includes: an information acquisition module, an area division module, a threshold determination module, and a management report generation module, wherein: Information acquisition module, used to obtain material information of the target construction site; The area division module is used to generate a material consumption heat map of the target construction site based on the material information, and divide the target construction site into multiple material usage frequency areas based on the material consumption density in the logistics consumption heat map; A threshold determination module is used to 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 each material consumption rate; The management report generation module is used to obtain the current material inventory of each material usage frequency area; when there is a target usage frequency area where the material inventory is less than the corresponding inventory warning threshold, the corresponding material procurement quantity is determined according to the material consumption rate and material inventory of the target usage frequency area, and based on the procurement quantity of each material, a procurement management report for the target construction site is generated.

[0072] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0073] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 300 may 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 .

[0074] The communication bus 302 is used to realize the connection and communication between these components.

[0075] The user interface 303 may include a display interface and a camera interface. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0076] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0077] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes 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. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface diagrams and applications, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0078] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, 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 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 , the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program of a smart construction site management method.

[0079] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the application program storing a smart construction site management method in the memory 305. When executed by one or more processors 301, the electronic device 300 executes one or more methods in the above-mentioned embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0080] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0081] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0082] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0083] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0084] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0085] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0086] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not recorded in the present disclosure. The description and examples are to be regarded as exemplary only.

Claims

1. A smart construction site management method, characterized in that: include: Obtain material information of the target construction site; 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 areas based on the material consumption density in the logistics consumption heat map; 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; Obtain the current material inventory of each material usage frequency area; When there is a target usage frequency area where the material inventory is less than the corresponding inventory warning threshold, the corresponding material procurement quantity is determined according to the material consumption rate and material inventory in the target usage frequency area, and based on each material procurement quantity, a procurement management report for the target construction site is generated.

2. The smart construction site management method according to claim 1, characterized in that: Generating a material consumption heat map of the target construction site according to the material information includes: Generating a material flow track of the target construction site according to the material position of each material in the material information; generating a material flow frequency distribution diagram based on the material flow times in each area of ​​the material flow trajectory; The material flow frequency distribution diagram is rendered by using a thermal rendering method to obtain a material consumption thermal map of the target construction site.

3. The smart construction site management method according to claim 2, characterized in that: The method of rendering the material flow frequency distribution diagram by heat rendering 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 diagram; Based on the sampling period and the number of material flows in each of the areas, a corresponding material flow frequency is calculated; When the material flow frequency of any area is greater than or equal to the frequency threshold, the area is marked as a high-heat area; when the material flow frequency of any area is less than the frequency threshold, the area is marked as a low-heat area; Based on a preset heat map template library, respectively determine the heat map rendering colors corresponding to the material flow frequencies of each of the high heat areas and each of the low heat areas; The material consumption heat map of the target construction site is constructed by combining the heat map rendering colors corresponding to the material flow frequencies of each of the high-heat areas and each of the low-heat areas.

4. The smart construction site management method according to claim 1, characterized in that: The target construction site is divided into a plurality of material usage frequency areas based on the material consumption density in the logistics consumption heat map, including: Based on the material consumption density in the logistics consumption thermodynamic diagram, constructing a material consumption density distribution curve of the target construction site; Determining multiple peak positions of material consumption density in the material consumption density distribution curve; Divide the area between adjacent peak positions into the same material usage frequency area; When the area of ​​any material usage frequency region is smaller than the area threshold, the material usage frequency region is merged with an adjacent material usage frequency region.

5. The smart construction site management method according to claim 1, characterized in that: The calculating of the material consumption rate corresponding to each material usage frequency area includes: Obtaining material requisition information and material return information for each material usage frequency area; Based on the material requisition records and the material return records, determine the material consumption at multiple time points in the material usage frequency area; For each of the material usage frequency areas, based on the material consumption at each of the time points, calculating the material consumption difference between adjacent time points in the material usage frequency area; Based on the material consumption difference and the time interval between the adjacent time points, the material consumption rate corresponding to the material usage frequency area is determined.

6. The smart construction site management method according to claim 1, characterized in that: The determining, based on the material consumption rates, the inventory warning threshold corresponding to each usage frequency area includes: Obtaining the material replenishment time of the target construction site and the safety construction coefficient of each of the usage frequency areas; Calculate the estimated minimum inventory quantity of each material usage frequency area based on the material consumption rate and the material replenishment time of each material usage frequency area; The product of the estimated minimum inventory quantity in each material usage frequency area and the safety construction coefficient is used as the corresponding inventory warning threshold.

7. The smart construction site management method according to claim 1, characterized in that: The determining of the corresponding material purchase quantity according to the material consumption rate and material inventory in the target usage frequency area includes: Determine the estimated construction period of each target usage frequency area based on the project information of the target construction site, and determine the corresponding estimated inventory based on the estimated construction period and material consumption rate of each target usage frequency area; The difference between the estimated inventory quantity and the material inventory quantity in each target usage frequency area is used as the corresponding material purchase quantity.

8. A smart construction site management system, characterized in that: The system comprises: Information acquisition module, used to obtain material information of the 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 regions based on the material consumption density in the logistics consumption heat map; A threshold determination module, used to 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 each material consumption rate; A management report generation module is used to obtain the current material inventory of each material usage frequency area; when there is a target usage frequency area where the material inventory is less than the corresponding inventory warning threshold, the corresponding material procurement quantity is determined according to the material consumption rate and material inventory of the target usage frequency area, and a procurement management report for the target construction site is generated based on the material procurement quantity of each material.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the smart construction site management method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the smart construction site management method as described in any one of claims 1-7 is executed.

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