Scaffold monitoring management system and method

Abstract

The invention provides a scaffold monitoring management system and method, and the system comprises a component identification module which is used for distributing and managing a unique digital identification code for each scaffold component; the digital archive module is associated with the component identification module and used for establishing and maintaining a digital archive for each scaffold component, and the digital archive at least comprises specification information, state information and dynamically updated historical use data of the component; the circulation monitoring module is used for tracking and recording circulation states and events of each scaffold component in the links of warehousing, ex-warehouse, project erection, warehouse returning and scrapping based on the digital identification codes; and the health degree evaluation module is used for calculating the dynamic health degree of each scaffold component through a preset evaluation model based on the component historical use data and state information recorded in the digital file module. The invention aims to improve the safety, economy and refinement level of scaffold management.

Description

Technical Field

[0001] This application relates to the field of scaffolding monitoring and management technology, and in particular to a scaffolding monitoring and management system and method. Background Technology

[0002] Scaffolding, as an indispensable temporary facility in construction projects, requires crucial safety management and efficient asset operation. However, current scaffolding management is generally rudimentary and has certain problems:

[0003] First, asset management suffers from coarse granularity and significant discrepancies between records and actual inventory. Traditional management often operates on a "batch" or "project" basis, failing to trace down to the smallest units such as individual steel pipes and fasteners. Components are highly susceptible to loss or misuse during frequent transfers, leasing, and assembly, leading to difficulties in asset inventory, a severe disconnect between physical assets and records, and substantial hidden asset losses and economic damage.

[0004] Secondly, safety condition assessments rely on subjective experience and lack data support. The health status of components (such as fatigue, corrosion, and deformation) is usually judged solely by visual inspection or subjective feeling, and their service life and load-bearing capacity decline lack quantitative basis. There are no scientific and unified decision-making standards for when mandatory maintenance should be carried out and when components should be scrapped and replaced, resulting in the reuse of a large number of defective components or the premature elimination of high-performance components, which not only creates serious safety hazards but also increases unnecessary costs.

[0005] Secondly, the entire lifecycle information is fragmented, and the process is untraceable. A component's entire lifecycle—from its entry into the warehouse, its departure from the warehouse, its installation in which project, the loads and environmental conditions it experienced, whether it suffered damage or required repair, until its final disposal—lacks a continuous and complete record. In the event of a safety incident, it is difficult to quickly locate the problematic component and trace its history, making effective liability determination and root cause analysis impossible.

[0006] Existing attempts to improve the system, such as using simple barcodes for entry and exit registration, have only solved the problem of digitizing information entry. They have failed to form a closed-loop data chain covering the entire life cycle of components and have not solved the fundamental management problems mentioned above, such as unclear asset status, lack of data for life assessment, and inability to trace the process.

[0007] Therefore, the industry urgently needs a system and method that can digitize the smallest management unit of scaffolding, realize continuous monitoring and quantitative assessment of its status throughout its entire life cycle, and support precise management decisions. Summary of the Invention

[0008] Based on this, this application proposes a scaffolding monitoring and management system and method, aiming to improve the safety, economy and precision of scaffolding management.

[0009] Firstly, the technical solution provided in this application includes:

[0010] A scaffolding monitoring and management system, the system comprising:

[0011] The component identification module is used to assign and manage a unique digital identifier for each scaffolding component.

[0012] The digital archive module, associated with the component identification module, is used to establish and maintain a digital archive for each scaffolding component. The digital archive includes at least the component's specification information, status information, and dynamically updated historical usage data.

[0013] The circulation monitoring module is used to track and record the circulation status and events of each scaffolding component in the stages of warehousing, outbound, project construction, return to warehousing and scrapping, based on the digital identification code;

[0014] The health assessment module is used to calculate the dynamic health of each scaffolding component based on the historical usage data and status information of the components recorded in the digital archive module, using a preset assessment model.

[0015] Furthermore, the health assessment module uses a multi-factor fusion model to perform weighted fusion calculations on at least two factors among the component's usage frequency, historical load records, service environment data, appearance damage records, and maintenance history, in order to generate a quantified health score or a predicted value of remaining safe life.

[0016] Furthermore, it also includes an intelligent solution management module; the intelligent solution management module is configured as follows:

[0017] In response to the input engineering parameters, generate at least one scaffolding erection scheme that complies with safety regulations and a list of required components;

[0018] Furthermore, the generated construction plan can be optimized based on the current available inventory information provided by the circulation monitoring module and the component health status provided by the health status assessment module, so as to prioritize the use of in-stock components that meet the health status standards to form a recommended plan.

[0019] Furthermore, the circulation monitoring module includes an electronic inspection unit; the electronic inspection unit is configured to provide an inspection task list and recording interface based on the digital identification code during the scaffolding project usage phase, so that the inspection results can be recorded and associated with the corresponding specific components, and the inspection results serve as the basis for updating the component status information and historical usage data.

[0020] Furthermore, it also includes an early warning module; the early warning module is configured to:

[0021] Based on the component health status output by the health assessment module or the circulation status events recorded by the circulation monitoring module, monitoring and early warning information is generated. The monitoring and early warning information includes at least one of the following: early warning that the health status of a specific component is below a threshold and needs maintenance, and early warning that the scaffolding of a specific project has exceeded its service life.

[0022] Furthermore, the flow monitoring module includes a status sorting unit;

[0023] When a component is returned to the warehouse after completing a project, the status sorting unit automatically assigns the next status identifier to the component based on the current health status calculated by the health assessment module. The status identifier includes ready for use, pending maintenance, or pending scrapping.

[0024] Furthermore, when the intelligent solution management module optimizes the solution, its optimization objectives include at least one of the following: maximizing the utilization rate of healthy components in the inventory and minimizing the cost of newly purchased components.

[0025] Furthermore, it also includes a data analysis and visualization module;

[0026] The data analysis and display module is used to aggregate and visualize the monitoring and management indicators of the entire system's assets. The monitoring and management indicators include at least one of the following: total asset utilization rate, average life trend of components, and classification scrap rate analysis.

[0027] Secondly, the technical solution provided in this application includes:

[0028] A method for monitoring and managing scaffolding, the method comprising:

[0029] Assign and manage a unique digital identifier for each scaffolding component;

[0030] A digital profile is established and maintained for each scaffolding component, the digital profile including at least the component's specification information, status information, and dynamically updated historical usage data;

[0031] Based on the digital identification code, the circulation status and events of each scaffolding component in the stages of warehousing, outbound, project erection, return to warehousing and scrapping are tracked and recorded.

[0032] Based on the historical usage data and status information of the components recorded in the digital archive module, the dynamic health of each scaffolding component is calculated using a preset evaluation model.

[0033] The technical solution provided in this application has at least the following advantages over the prior art:

[0034] First, it enables refined and digital management of scaffolding assets, fundamentally improving asset control capabilities. By assigning a unique digital identity to each smallest unit through a component identification module and establishing a holographic dynamic archive through a digital archive module, the system refines the management of objects from vague "batches" to each traceable component. This effectively solves the pain points of discrepancies between records and actual assets and asset loss in the traditional model, making inventory counting accurate and efficient, asset flow clear at a glance, and significantly reducing economic losses caused by loss or misuse.

[0035] Secondly, it provides objective and quantitative means of safety status assessment, significantly improving the scientific nature of safety management decisions. The health assessment module utilizes historical usage data (such as frequency, load, and environment) and status information continuously accumulated in digital archives to dynamically calculate the health of components through a preset assessment model. This changes the traditional judgment method that relies on visual inspection and subjective experience, providing objective data basis for determining "when to repair and when to scrap" components. Thus, it can both promptly identify and decommission "defective" components to eliminate safety hazards and avoid premature obsolescence of well-performing components, achieving a dual optimization of safety and cost.

[0036] Third, a closed-loop data chain covering the entire lifecycle has been constructed, enabling panoramic traceability and transparent management of the process. The "flow monitoring module" forcibly tracks and records the status and events of components at every stage, from warehousing, outbound, assembly, return to warehousing, to scrapping. This allows for continuous recording of the complete lifecycle of components, solving the problem of information gaps. In the event of a problem, the specific component can be quickly located and its entire history can be traced back, greatly facilitating the root cause analysis of safety incidents, the determination of responsibility, and the in-depth analysis of asset effectiveness. Attached Figure Description

[0037] Figure 1 This is a structural diagram of an exemplary embodiment of the scaffolding monitoring and management system of this application;

[0038] Figure 2 This is a flowchart illustrating an exemplary embodiment of the scaffolding monitoring and management method of this application. Detailed Implementation

[0039] This specific embodiment is merely an explanation of this application and is not intended to limit it. Those skilled in the art, after reading this specification, can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application. To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of this application.

[0040] The term "comprising" and any variations thereof in the specification and claims of this application are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product or device.

[0041] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0042] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0043] Figure 1 This application provides an exemplary embodiment of a scaffolding monitoring and management system, the system comprising:

[0044] Component identification module 10 is used to assign and manage a unique digital identification code for each scaffolding component;

[0045] The digital archive module 20, associated with the component identification module 10, is used to establish and maintain a digital archive for each scaffolding component. The digital archive includes at least the component's specification information, status information, and dynamically updated historical usage data.

[0046] The circulation monitoring module 30 is used to track and record the circulation status and events of each scaffolding component in the stages of warehousing, outbound, project construction, return to warehousing and scrapping based on the digital identification code;

[0047] The health assessment module 40 is used to calculate the dynamic health of each scaffolding component based on the historical usage data and status information of the components recorded in the digital archive module 20, using a preset assessment model.

[0048] Specifically, in this embodiment, scaffolding components refer to the smallest physical units that constitute scaffolding and can be independently transferred and managed, such as single steel pipes (uprights, horizontal bars, diagonal bars), individual fasteners (right-angle fasteners, swivel fasteners), scaffold boards, etc. The digital identification code is a unique identifier affixed to or bound to the physical component, such as a QR code or RFID tag, which serves as the credential for the physical component to enter the digital management system.

[0049] The digital archive module 20 creates a digital archive for each component, which is the core of its entire lifecycle data. Among them, the specification information is a static inherent attribute, such as material, model, and manufacturing date; the status information refers to its current macro stage, such as in stock, out of stock, in project use, awaiting inspection, or scrapped; the dynamically updated historical usage data is continuously accumulated as the component circulates, such as all project records it has participated in, the time and person in charge of each entry and exit from the warehouse, the erection location on the project site, the type of load it bears (such as ordinary scaffolding or support frame), the environment it has experienced (such as whether it is in a coastal corrosive environment), and detailed records of each inspection or maintenance.

[0050] The entire system's workflow revolves around the unique digital identifier of each component. When a new scaffolding component enters the warehouse, a digital identifier is first generated and bound to it by the component identification module 10. Subsequently, the digital archive module 20 automatically generates the component's initial file. Throughout its subsequent lifecycle, for each critical transfer operation—such as being issued from the warehouse, transported to a specific construction site, installed in a specific location, undergoing safety inspection, being dismantled, returned to the warehouse, or ultimately scrapped—operators need to scan this identifier. The transfer monitoring module 30 is responsible for capturing and recording these scanning events, thereby accurately tracking the component's location and status changes, and synchronizing these events to its digital archive to form a continuous historical trajectory.

[0051] As the historical usage data of components becomes increasingly abundant, the health assessment module 40 will process and analyze the data periodically or at key nodes (such as when the component is returned to the warehouse after project completion) based on a preset assessment model. This will calculate and output a dynamic health score that reflects the component's overall condition. This dynamic health score is a quantitative assessment value that updates and changes as new data such as the component's service life, usage intensity, and damage records are entered. This provides core data for determining whether the component can be safely reused, whether it requires repair, or whether it should be scrapped.

[0052] The system provided in this embodiment achieves the following beneficial effects: First, by refining management granularity to each component through "one item, one code," it achieves refined and transparent asset management, fundamentally solving the problems of discrepancies between accounts and actual assets and difficulties in asset inventory in the traditional model. Second, by using the health assessment module 40 to quantitatively analyze the full lifecycle data, it provides an objective and unified scientific standard for assessing the safety status of components, replacing subjective experience-based judgments relying on manual visual inspection, and significantly improving the level of safety management. Finally, the circulation monitoring module 30 constructs a complete and continuous data chain, making the circulation history of each component clearly traceable and achieving full lifecycle information traceability. This not only facilitates daily management but also provides a reliable basis for accident tracing and liability determination.

[0053] In some embodiments, the health assessment module 40 uses a multi-factor fusion model to perform weighted fusion calculations on at least two factors among the component's usage frequency, historical load records, service environment data, appearance damage records, and maintenance history, in order to generate a quantified health score or a predicted value of remaining safe life.

[0054] Specifically, the multi-factor fusion model in this embodiment aims to overcome the limitations of single-indicator evaluation by comprehensively considering multiple dimensions affecting component safety and lifespan, thereby achieving a more scientific and accurate quantification of health status. The model's operation relies on various historical usage data continuously accumulated in the digital archive module 20.

[0055] The core factors involved in the model calculation and their data sources are as follows:

[0056] 1. Usage Frequency: The frequency of component "outbound-return" cycles is statistically analyzed using the component flow monitoring module 30. Each complete project usage cycle is counted as one valid usage.

[0057] 2. Historical Load Records: Loads are indirectly estimated based on the type of project in which the component is used and its position in the erection plan, or are clearly defined through project records. For example, the load levels borne by uprights used for tall formwork support frames and uprights used for ordinary exterior wall scaffolding will be recorded and evaluated separately.

[0058] 3. Service environment data: The project information associated with the component's digital archive includes the environmental characteristics of the project location (such as whether it is located in a coastal area with high salt spray, industrial corrosive gas environment, etc.) and the actual service time of the component in the project, which together constitute the environmental impact coefficient.

[0059] 4. Appearance Damage Records: These records primarily originate from the inspection results submitted by the electronic inspection unit within the circulation monitoring module 30. During each inspection, if damage such as rust, deformation, cracks, or severe wear is found on the components, its type, extent, and location will be recorded and quantitatively scored.

[0060] 5. Maintenance history: Record the types of maintenance performed on the components (such as straightening, welding repair, component replacement, heavy anti-corrosion treatment, etc.) and the acceptance evaluation after maintenance. Maintenance is regarded as a "condition reset" or "loss compensation" factor.

[0061] The weighted fusion calculation refers to the model assigning different weight coefficients to the aforementioned factors. These coefficients can be set and adjusted based on industry standards, experimental data, or historical statistical analysis results. For example, for load-bearing uprights, the weight of historical load records may be higher; while for components that have been in a humid environment for a long time, the weight of service environment data will be increased. The system periodically (e.g., each time the components are returned to the warehouse) or triggers calculations on demand, multiplying the quantified values ​​of each factor by their weights and summing them, ultimately outputting a health score (e.g., 0-100 points), or converting it into a predicted remaining safe life value based on fatigue damage accumulation theory (e.g., it is estimated that it can be safely used for X cycles).

[0062] This embodiment introduces a multi-factor fusion assessment model, expanding the assessment of component health from a single time or frequency dimension to a multi-dimensional, comprehensive evaluation system that more closely reflects actual wear and tear mechanisms. The assessment results are no longer a vague "new or old" judgment, but rather a precise profile reflecting "why it's old and where the wear and tear is." For example, it can distinguish the essential differences in condition between a frequently used but lightly loaded and well-maintained component and a component that has been used less frequently but has experienced overloading or harsh environments.

[0063] In some embodiments, an intelligent solution management module is also included; the intelligent solution management module is configured to:

[0064] In response to the input engineering parameters, generate at least one scaffolding erection scheme that complies with safety regulations and a list of required components;

[0065] Furthermore, the generated construction plan can be optimized based on the current available inventory information provided by the circulation monitoring module 30 and the component health information provided by the health assessment module 40, so as to prioritize the use of in-stock components that meet the health standards to form a recommended plan.

[0066] Specifically, the engineering parameters are the input conditions for initiating the scheme design. These typically include the building structure dimensions (length, width, height), facade complexity, design load requirements (such as load-bearing scaffolding and decoration scaffolding), construction period, and special environmental factors (such as wind load areas and the need to cross obstacles). These parameters can be manually entered by engineers through the system interface or automatically obtained by the system through uploaded simplified architectural drawings. Upon receiving the parameters, the intelligent scheme management module first calls the built-in safety standard database (such as the national standard "Safety Technical Specification for Construction Coupler-Type Steel Pipe Scaffolding") and the mechanics calculation engine to automatically generate one or more technically feasible and safe preliminary erection schemes. Each scheme will output a detailed 3D erection diagram, key construction steps, and a precise list of required components, specifying the model, specifications, and quantity of each type of component.

[0067] After generating the initial plan, the system's core optimization logic begins to run. At this point, the intelligent plan management module queries the flow monitoring module 30 to obtain the specific models and quantities of all components currently in the warehouse with a status of "in stock," i.e., the current available inventory information. Simultaneously, it obtains the real-time health scores of these in-stock components from the health assessment module 40. The system will then optimize the initial plan according to preset optimization rules (e.g., setting a health threshold, such as 80 points or above being considered "healthy").

[0068] The optimization process is essentially an intelligent matching and replacement of the theoretical "demand list" with the real-world "inventory health list." The system attempts to map components from the demand list to existing components in the inventory that match the model and meet the health standards, while ensuring the safety and functionality of the original solution. For example, if the initial solution requires 100 brand-new 6-meter poles, but there are 120 poles of the same specification in the inventory with a health score of 85, the optimized solution will directly specify the use of these inventory poles. If the inventory quantity is insufficient or the health score is not up to standard, the system will accurately calculate the number of components that need to be purchased or repaired and generate corresponding prompts. Finally, the system will output one or more recommended solutions, each clearly indicating which components are from inventory and which need to be purchased new, along with cost estimates and resource utilization analysis based on current data.

[0069] This embodiment introduces an intelligent solution management module, transforming scaffolding design from tedious manual calculations relying on personal experience into an automated and standardized process based on rules and data, thereby improving design efficiency and reducing human error. Secondly, it establishes an intelligent decision-making mechanism oriented towards revitalizing existing assets. By linking inventory and health data, the system guides managers to prioritize the use of existing qualified resources, thereby minimizing the number of newly purchased components, reducing procurement costs, increasing asset turnover, and avoiding ineffective inventory accumulation and waste.

[0070] In some embodiments, the flow monitoring module 30 includes an electronic inspection unit; the electronic inspection unit is configured to:

[0071] During the scaffolding project usage phase, an inspection task list and recording interface based on the digital identification code are provided, enabling the inspection results to be recorded and associated with the corresponding specific components. The inspection results serve as the basis for updating the component's status information and historical usage data.

[0072] Specifically, the electronic inspection unit primarily serves the safety management personnel at the project site. Once the scaffolding is erected and put into use, the unit automatically generates an inspection task list on the safety officer's mobile terminal (such as a mobile app or dedicated handheld device) according to a pre-set inspection plan (e.g., daily, weekly, or after special weather conditions). This list does not refer to the entire scaffolding in general, but rather breaks it down into a series of specific inspection points using the erection plan data stored in the system. Each inspection point precisely corresponds to one or more components with numerical identification codes (e.g., "Check if the base of the upright in the third row of area A, numbered G-2024-00015, is secure," or "Check if the right-angle coupler numbered K-2023-04567 is loose"). This makes the inspection targets extremely clear and effectively avoids missed inspections.

[0073] Once inspectors arrive on-site, they can access the component's recording interface on their terminal by scanning the identification code on the component. This interface typically includes standardized options (such as "Normal," "Loose," "Deformed," "Rust," and "Missing") and photo / text annotation functions. When inspectors discover an anomaly, they can quickly select the corresponding issue and upload photos as evidence. This process ensures that all inspection results are no longer isolated records on paper, but rather, through the act of scanning, a strong association is established between the scan and the specific component in the digital system.

[0074] Each successful electronic inspection record is synchronized in real time from the flow monitoring module 30 to the digital archive module 20. A detailed inspection log is added to the "Historical Usage Data" section of the specific component's archive. Simultaneously, if an anomaly is recorded, its "Status Information" may be temporarily marked as "Pending Processing." Furthermore, these recorded damage or defects become a direct and objective data source for the "Appearance Damage Record," a key factor, in the subsequent quantitative calculations by the health assessment module 40. This achieves automated data flow from on-site discovery to system evaluation.

[0075] This embodiment introduces an electronic inspection unit, bringing crucial closed-loop data acquisition capabilities to the system. First, it transforms the rudimentary on-site inspections, which relied heavily on paper documents and memory, into a standardized digital process with clear objectives, traceable processes, and assigned responsibilities, significantly improving the standardization and verifiability of safety management. Second, it successfully converts fragmented, frontline safety information into structured, analyzable system data, precisely binding it to the smallest management unit, providing primary data support for the full lifecycle health assessment of components.

[0076] In some embodiments, an early warning module is further included; the early warning module is configured to:

[0077] Based on the component health status output by the health assessment module 40 or the circulation status events recorded by the circulation monitoring module 30, monitoring and early warning information is generated. The monitoring and early warning information includes at least one of the following: early warning that the health status of a specific component is below a threshold and needs to be repaired, and early warning that the scaffolding of a specific project has exceeded its service life.

[0078] Specifically, the early warning module, acting as an independent monitoring and notification engine, continuously listens to data streams from two core modules within the system. Its early warning logic is primarily based on two triggering mechanisms:

[0079] 1. Health Threshold-Based Early Warning: The early warning module is linked with the health assessment module 40 to obtain the dynamic health scores of all components in stock or in use in the system in real time or periodically. System administrators can preset different health thresholds for different types of components (such as load-bearing uprights, ordinary crossbars, and fasteners). For example, if the health warning line for an upright is set to 70 points, when the health of an upright calculated by the health assessment module 40 drops below this threshold, the early warning module will immediately and automatically generate an "Earning: Health of Specific Component Below Threshold Requires Repair" message. This warning message will at least include the component's unique ID, current health level, location (e.g., which warehouse location it is in, or which project it is being used for), and recommended actions.

[0080] 2. Early Warning Based on Circulation Status Events: The early warning module simultaneously analyzes various event logs recorded by the circulation monitoring module 30. For example, the system sets a standard erection and usage period (e.g., 90 days) for each scaffolding project. The early warning module monitors the "start of use" event of the scaffolding in each project and starts a timer. When the actual usage time of the project's scaffolding exceeds the preset period, the system automatically generates an "early warning for overdue use of scaffolding in a specific project." In addition, corresponding early warning rules can also be configured based on other circulation events (such as components being frequently marked with the same type of problem during inspections, abnormally missing quantities upon return to the warehouse, etc.).

[0081] The generated monitoring and early warning information will be distributed in real time through various built-in channels (such as pop-ups in prominent positions in the web management backend, SMS messages, or APP push notifications to preset safety officers, project managers, and other responsible persons) to ensure that risk information can be detected in a timely manner. Each early warning will be recorded in the system, forming an early warning history, which can be linked to specific components or project files for easy tracing and analysis later.

[0082] This embodiment introduces an early warning module, changing the traditional passive response model to problems. By automatically monitoring core risk indicators (health status, usage cycle), it achieves proactive discovery and early warning of safety risks, moving the prevention of accidents forward. It frees managers from tedious tasks such as manual inspections, record checking, and relying on memory to determine deadlines, allowing them to focus on high-priority problem lists precisely pushed by the system. The deep integration of the early warning module with the health assessment and flow monitoring modules forms a complete management loop from "data collection" to "status analysis" to "risk warning," enabling the system's monitoring data to directly drive management actions, significantly enhancing the executability and timeliness of the entire management system.

[0083] In some embodiments, the flow monitoring module 30 includes a status sorting unit;

[0084] When a component is returned to the warehouse after completing a project, the status sorting unit automatically assigns the next status identifier to the component based on the current health status calculated by the health assessment module 40. The status identifier includes ready for use, pending maintenance, or pending scrapping.

[0085] Specifically, this status sorting unit primarily functions at the "return to warehouse acceptance" stage of the component lifecycle. When a project concludes and scaffolding is dismantled and returned to the warehouse, the traditional approach requires warehouse quality inspectors to examine each returned component individually, relying on experience to determine its subsequent handling—a cumbersome process with inconsistent standards. In this embodiment, this process is greatly simplified and made more intelligent.

[0086] When a vehicle carrying returned components arrives, operators use a scanning device to quickly read the digital identification codes on the components in batches. Upon confirming that these components have been "returned to the warehouse," the flow monitoring module 30 automatically triggers a process: the status sorting unit then sends a batch query request to the health assessment module 40 to obtain the latest calculated current health status of these components. Subsequently, the sorting unit automatically assigns a specific "next status identifier" to each component according to preset strategy rules.

[0087] The policy rules are typically based on defined ranges for health scores. For example, they can be configured as follows: components with a health score ≥ 85 are assigned a "readily available" label, and the system will instruct them to be stored in the available inventory area, ready for the next project; components with a health score between 60 and 85 are assigned a "pending repair" label, and the system will generate a repair work order and direct it to the pending repair area; while components with a health score < 60 are assigned a "pending scrap" label, and the system will trigger a scrap approval process and isolate them for storage. These labels are updated in real time on the component's digital file and warehouse management interface, guiding physical sorting operations.

[0088] This embodiment introduces a status-based sorting unit, achieving standardization and automation of return-to-warehouse processing. It transforms the previous reliance on subjective personal judgment into a system-driven decision-making process based on objective health data and unified rules, significantly improving warehouse operation efficiency and consistency. This ensures that only components quantitatively certified as "healthy" by the system can re-enter usable inventory, preventing the re-outflow of unsafe components from the source and strengthening safety control.

[0089] In some embodiments, when the intelligent solution management module optimizes a solution, its optimization objectives include at least one of the following: maximizing the utilization rate of healthy components in the inventory and minimizing the cost of newly purchased components.

[0090] Specifically, after the module receives engineering parameters and generates a preliminary erection plan, its optimization process is not a random or disordered replacement, but is driven by clear business objectives. The objective of "maximizing the utilization rate of healthy components in inventory" guides the system to adopt a proactive strategy when matching inventory: it is not merely satisfied with filling the plan list with inventory components, but will prioritize the use of existing components with high health scores and excellent condition, and even attempt to utilize specific types of high-health inventory by fine-tuning the design scheme within the limits of safety regulations (for example, selecting a different length of pole with sufficient inventory for alternative assembly while meeting mechanical requirements). Its core purpose is to reduce asset idleness, improve inventory turnover, and fully realize the value of existing investments.

[0091] The objective of "minimizing the cost of newly purchased components" directly addresses economic efficiency, using the estimated cost of new components as a key optimization variable. During solution optimization calculations, the system simulates costs for different inventory matching outcomes based on real-time or preset component purchase prices. It tends to generate a recommended solution that minimizes additional purchases. For example, if the initial solution requires 100 sets of brand-new fasteners, but there are 150 sets of existing fasteners in stock that meet health standards (possibly slightly different models but functionally compatible), driven by the "minimize new purchase costs" objective, the system will prioritize using the existing stock, even if this might require adjustments to some instructions in the assembly manual.

[0092] In practice, these two objectives can be used individually or in combination. The system can set different optimization priorities for different projects or scenarios. For example, for internal company projects, the emphasis may be on "maximizing utilization" to reduce inventory; for time-sensitive temporary emergency projects, the main objective may be "minimizing new purchase costs" to control the budget.

[0093] This embodiment, by clearly defining the optimization objectives of the intelligent solution management module, transforms the system's optimization behavior from a technical function into an intelligent tool carrying explicit management strategies. The system outputs no longer merely "a solution that utilizes inventory," but rather the optimal solution that best meets the company's current core needs (whether it's asset revitalization or cash saving). This allows management to directly translate business strategies (such as cost reduction and efficiency improvement, and inventory reduction) into executable rules for the system, enhancing the scientific and forward-looking nature of management.

[0094] In some embodiments, a data analysis and display module is also included;

[0095] The data analysis and display module is used to aggregate and visualize the monitoring and management indicators of the entire system's assets. The monitoring and management indicators include at least one of the following: total asset utilization rate, average life trend of components, and classification scrap rate analysis.

[0096] Specifically, the data analysis and display module is not a simple reporting tool, but a strategic decision support center for enterprise management. It continuously extracts massive amounts of raw operational data from various underlying modules, including the digital archive module 20, the flow monitoring module 30, and the health assessment module 40. Through data cleaning, aggregation, correlation, and statistical models, it transforms this data into a series of intuitive and measurable monitoring and management indicators.

[0097] These indicators include, for example:

[0098] 1. Total Asset Utilization Rate: This indicator dynamically reflects the activity level and turnover efficiency of the company's registered scaffolding assets. It is not simply "number of used / total number", but is calculated by analyzing the percentage of time the components are in "project use", the age structure of the inventory, and the idle status of healthy components. It intuitively reveals whether the assets are "sleeping in the warehouse" and provides a basis for investment decisions and allocation strategies.

[0099] 2. Component Average Lifespan Trend: This indicator calculates the average safe service life (such as average number of uses or years) of components of different types and from different suppliers by retrospectively analyzing historical scrapped component data, and displays the trend in chart form. For example, a trend chart can reveal that "the average lifespan of fasteners from Brand A has declined for three consecutive quarters," thereby triggering an in-depth review of procurement quality or usage specifications.

[0100] 3. Categorized Scrap Rate Analysis: This indicator performs multi-dimensional drill-down analysis on scrap data. For example, it categorizes scrapping data by cause (rust, deformation, loss), by component type (uprights, crossbars, fasteners), and by service project type. Through comparative analysis, it can accurately pinpoint the main contradictions and weak links leading to asset loss. For example, it may discover that "the scrap rate of components used in chemical projects due to corrosion is abnormally high," thereby promoting targeted protective measures or cost-sharing mechanisms.

[0101] This module is typically presented as a visual dashboard, using interactive charts, dashboards, and geographic information maps to clearly display complex asset health status, distribution, and performance trends. Managers can grasp the overall situation and identify potential risks and optimization opportunities without having to delve into specific documents.

[0102] This embodiment introduces a data analysis and display module to extract massive amounts of monitoring data scattered across various stages into insights with management significance, making strategic issues such as asset efficiency, lifespan management, and cost control measurable, analyzable, and predictable.

[0103] Each module in the above system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0104] like Figure 2 As shown, one embodiment of this application also provides a scaffolding monitoring and management method, the method comprising:

[0105] Step S100: Assign and manage a unique digital identifier for each scaffolding component;

[0106] Step S200: Establish and maintain a digital file for each scaffolding component, wherein the digital file includes at least the component's specification information, status information, and dynamically updated historical usage data;

[0107] Step S300: Based on the digital identification code, track and record the flow status and events of each scaffolding component in the stages of warehousing, outbound, project erection, return to warehousing and scrapping;

[0108] Step S400: Based on the historical usage data and status information of the components recorded in the digital archive module 20, calculate the dynamic health of each scaffolding component using a preset evaluation model.

[0109] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0110] In summary, this application provides a scaffolding monitoring and management system and method, which can achieve at least the following beneficial effects:

[0111] First, it enables refined and digital management of scaffolding assets, fundamentally improving asset control capabilities. By assigning a unique digital identity to each smallest unit through a component identification module and establishing a holographic dynamic archive through a digital archive module, the system refines the management of objects from vague "batches" to each traceable component. This effectively solves the pain points of discrepancies between records and actual assets and asset loss in the traditional model, making inventory counting accurate and efficient, asset flow clear at a glance, and significantly reducing economic losses caused by loss or misuse.

[0112] Secondly, it provides objective and quantitative means of safety status assessment, significantly improving the scientific nature of safety management decisions. The health assessment module utilizes historical usage data (such as frequency, load, and environment) and status information continuously accumulated in digital archives to dynamically calculate the health of components through a preset assessment model. This changes the traditional judgment method that relies on visual inspection and subjective experience, providing objective data basis for determining "when to repair and when to scrap" components. Thus, it can both promptly identify and decommission "defective" components to eliminate safety hazards and avoid premature obsolescence of well-performing components, achieving a dual optimization of safety and cost.

[0113] Third, a closed-loop data chain covering the entire lifecycle has been constructed, enabling panoramic traceability and transparent management of the process. The "flow monitoring module" forcibly tracks and records the status and events of components at every stage, from warehousing, outbound, assembly, return to warehousing, to scrapping. This allows for continuous recording of the complete lifecycle of components, solving the problem of information gaps. In the event of a problem, the specific component can be quickly located and its entire history can be traced back, greatly facilitating the root cause analysis of safety incidents, the determination of responsibility, and the in-depth analysis of asset effectiveness.

[0114] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0115] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and substitutions can be made without departing from the technical principles of this application, and these improvements and substitutions should also be considered within the scope of protection of this application.

Claims

1. A scaffolding monitoring and management system, characterized in that, The system includes: The component identification module is used to assign and manage a unique digital identifier for each scaffolding component. The digital archive module, associated with the component identification module, is used to establish and maintain a digital archive for each scaffolding component. The digital archive includes at least the component's specification information, status information, and dynamically updated historical usage data. The circulation monitoring module is used to track and record the circulation status and events of each scaffolding component in the stages of warehousing, outbound, project construction, return to warehousing and scrapping, based on the digital identification code; The health assessment module is used to calculate the dynamic health of each scaffolding component based on the historical usage data and status information of the components recorded in the digital archive module, using a preset assessment model.

2. The scaffolding monitoring and management system according to claim 1, characterized in that: The health assessment module uses a multi-factor fusion model to perform weighted fusion calculations on at least two factors from the component's usage frequency, historical load records, service environment data, appearance damage records, and maintenance history to generate a quantified health score or a predicted value for remaining safe life.

3. The scaffolding monitoring and management system according to claim 1, characterized in that: It also includes an intelligent solution management module; the intelligent solution management module is configured as follows: In response to the input engineering parameters, generate at least one scaffolding erection scheme that complies with safety regulations and a list of required components; Furthermore, the generated construction plan can be optimized based on the current available inventory information provided by the circulation monitoring module and the component health status provided by the health status assessment module, so as to prioritize the use of in-stock components that meet the health status standards to form a recommended plan.

4. The scaffolding monitoring and management system according to claim 1, characterized in that: The flow monitoring module includes an electronic inspection unit; the electronic inspection unit is configured as follows: During the scaffolding project usage phase, an inspection task list and recording interface based on the digital identification code are provided, enabling the inspection results to be recorded and associated with the corresponding specific components. The inspection results serve as the basis for updating the component's status information and historical usage data.

5. The scaffolding monitoring and management system according to claim 1, characterized in that: It also includes an early warning module; the early warning module is configured as follows: Based on the component health status output by the health assessment module or the circulation status events recorded by the circulation monitoring module, monitoring and early warning information is generated. The monitoring and early warning information includes at least one of the following: early warning that the health status of a specific component is below the threshold and needs to be repaired, and early warning that the scaffolding of a specific project has exceeded its service life.

6. The scaffolding monitoring and management system according to claim 1, characterized in that: The flow monitoring module includes a status sorting unit; When a component is returned to the warehouse after completing a project, the status sorting unit automatically assigns the next status identifier to the component based on the current health status calculated by the health assessment module. The status identifier includes ready for use, pending maintenance, or pending scrapping.

7. The scaffolding monitoring and management system according to claim 3, characterized in that: When optimizing a solution, the intelligent solution management module has at least one of the following optimization objectives: maximizing the utilization rate of healthy components in the inventory and minimizing the cost of newly purchased components.

8. The scaffolding monitoring and management system according to claim 1, characterized in that: It also includes a data analysis and visualization module; The data analysis and display module is used to aggregate and visualize the monitoring and management indicators of the entire system's assets. The monitoring and management indicators include at least one of the following: total asset utilization rate, average life trend of components, and classification scrap rate analysis.

9. A method for monitoring and managing scaffolding, characterized in that, The method includes: Assign and manage a unique digital identifier for each scaffolding component; A digital profile is established and maintained for each scaffolding component, the digital profile including at least the component's specification information, status information, and dynamically updated historical usage data; Based on the digital identification code, the circulation status and events of each scaffolding component in the stages of warehousing, outbound, project erection, return to warehousing and scrapping are tracked and recorded. Based on the historical usage data and status information of the components recorded in the digital archive module, the dynamic health of each scaffolding component is calculated using a preset evaluation model.

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