Construction engineering whole life cycle safety production management cloud platform

Abstract

The application discloses a building engineering full life cycle safety production management cloud platform and relates to the technical field of building engineering management informatization, in particular to a building engineering full life cycle safety production management cloud platform, which comprises a central server, a user terminal, a field monitoring device, a data database and a safety knowledge base. The central server is in communication connection with the user terminal, the field monitoring device, the data database and the safety knowledge base. The central server comprises data receiving, risk assessment, process management, early warning pushing and statistical analysis modules. The field monitoring device comprises video monitoring, environmental sensors, equipment state sensors and personnel positioning beacons. The platform realizes dynamic risk assessment and early warning by collecting field data in real time and combining with safety knowledge base rules, and realizes online closed-loop management on the safety production process, realizes whole-process and digital safety management and control from the project early stage, the construction stage and the use stage, and effectively improves the safety management efficiency and level of building engineering.

Description

Technical Field

[0001] This invention relates to the field of information technology for construction project management, specifically a cloud platform for the full life-cycle safety production management of construction projects. Background Technology

[0002] As a vital pillar of the national economy, the construction industry is characterized by complex environments, dense workforces, overlapping trades, numerous pieces of machinery and equipment, and frequent high-altitude and outdoor operations, making safety management a constant and challenging task. Traditional construction safety management relies heavily on manual inspections, paper records, meetings, and experience-based judgment, resulting in outdated, fragmented, and unsystematic management processes. This model reveals numerous pain points at different stages of the project's lifecycle (such as planning, design, construction, and operation and maintenance): Firstly, regarding information integration and collaboration, the transmission of safety information (such as design changes, special plans, hazard records, and inspection results) among the various responsible parties involved in the project, including construction, supervision, and design, as well as among the company's internal safety, technology, and engineering departments, is mostly done through documents, emails, or instant messaging tools. This results in information silos, inconsistent versions, and difficulties in traceability. Safety management decisions and execution lack unified, real-time, and accurate data support, leading to slow response times and low collaboration efficiency.

[0003] Secondly, in terms of risk perception and early warning, traditional methods are severely inadequate in monitoring dynamic risks at construction sites. For major hazard sources such as deep foundation pits, high formwork, large lifting equipment, and scaffolding, as well as environmental risks such as noise, dust, and harmful gases, the focus is mainly on the safety officer's regular inspections and subjective judgment. This passive and fragmented monitoring method makes it difficult to achieve 24-hour uninterrupted monitoring and fails to detect and warn of risks in their early stages or when potential accidents occur, leaving safety management in a passive "remedial" situation.

[0004] Furthermore, regarding process control and standardization, key safety management processes, such as the preparation and approval of safety-specific plans, safety technical briefings and training, closed-loop hazard identification and mitigation, and emergency drills, are often implemented offline using paper forms. This results in long approval cycles, difficulty in real-time tracking and verification of implementation, and delayed feedback on rectification. Consequently, violations of regulations (illegal command, illegal operation, and violation of labor discipline) persist, highlighting a significant disconnect between management requirements and actual implementation, and hindering the effective implementation of safety regulations.

[0005] Furthermore, in terms of data analysis and decision support, massive amounts of safety inspection records, hazard data, and accident reports are stored in unstructured or semi-structured formats, lacking effective integration and analysis methods. Managers struggle to quickly identify recurring issues such as high-frequency hazard types, accident-prone areas, and weak management practices from historical data, resulting in untargeted safety decisions and resource allocation, and hindering the improvement of preventative safety management.

[0006] The rapid development of next-generation information technologies such as the Internet of Things, mobile internet, cloud computing, big data, and artificial intelligence has provided new possibilities for solving the aforementioned challenges. Applying technologies such as sensors, smart terminals, and wireless communication to construction sites enables real-time status monitoring of key elements including personnel, machinery, materials, methods, and environment. Leveraging the powerful computing and storage capabilities of cloud platforms to integrate safety data resources across the entire lifecycle and all stakeholders, and constructing data models and intelligent algorithms to achieve intelligent risk assessment, automatic early warning of hazards, online process collaboration, and multi-dimensional analysis of management effectiveness, has become a clear trend in the modernization and intelligent transformation of safety management in the construction industry.

[0007] Therefore, developing a comprehensive safety production management cloud platform that can cover the entire life cycle of construction projects and integrate real-time monitoring, intelligent analysis, process collaboration, and knowledge services, and realizing a fundamental shift from passive response to proactive prevention, from decentralized management to integrated control, and from experience-driven to data-driven approaches, has significant practical significance and application value for improving the inherent safety level of construction projects, curbing the occurrence of major accidents, and promoting the high-quality development of the industry. Summary of the Invention

[0008] The purpose of this invention is to provide a cloud platform for safety production management throughout the entire life cycle of construction projects. Through an integrated cloud platform, the safety production of construction projects throughout the entire life cycle can be uniformly monitored and managed, enabling real-time risk warning, closed-loop process control, and intelligent data analysis, thereby improving safety management efficiency and preventing accidents.

[0009] To achieve the above objectives, the present invention provides the following technical solution: a cloud platform for safety production management throughout the entire lifecycle of construction projects, comprising: a central server, user terminals, on-site monitoring devices, a data database, and a safety knowledge base; the central server is connected to the user terminals, the on-site monitoring devices, the data database, and the safety knowledge base via wired and wireless communication networks, forming a distributed collaborative management architecture; the user terminals are located in the offices of the construction unit, the construction contractor, the supervision unit, and other parties involved in the project, for remote safety supervision and management; the on-site monitoring devices are deployed at the construction site of the construction project for real-time collection of dynamic information related to construction safety.

[0010] Furthermore, the central server integrates functional modules for implementing the platform's core business logic, including: a data receiving module, a risk assessment module, a process management module, an early warning push module, and a statistical analysis module. The data receiving module collects structured and unstructured data reported from user terminals and automatically uploaded by on-site monitoring devices, and transmits them to the risk assessment module and the process management module, respectively. The risk assessment module performs security status analysis based on the input data. The process management module drives standardized security management processes. The analysis results of the risk assessment module are output to the early warning push module. The operating results and interaction instructions of the process management module, the early warning push module, and the statistical analysis module are synchronized with the user terminal and transmitted to the user terminal via communication interfaces.

[0011] Furthermore, the on-site monitoring device is an IoT terminal collection composed of various types of sensing and data acquisition devices, specifically including: video surveillance equipment, environmental sensors, equipment status sensors, and personnel positioning beacons; the video surveillance equipment is installed at high points, main entrances and exits, material processing areas, and around dangerous work areas such as deep foundation pits and high formwork, to achieve panoramic and key area visualization management; the environmental sensors are deployed at key locations such as foundation pit slopes, tunnel interiors, scaffolding structures, and high formwork support systems to monitor environmental parameters such as settlement, displacement, tilt angle, and wind speed; the equipment status sensors are installed on the main structure or safety devices of large construction machinery such as tower cranes, construction hoists, and material hoists to collect operating parameters, loads, and safety status information; the personnel positioning beacons are carried by management personnel and workers entering the construction site to achieve dynamic positioning and area control of personnel within the construction area.

[0012] Furthermore, the data database is a dedicated storage unit for the structured storage of various digital documents and records related to safety production throughout the entire engineering project. Its stored content includes, but is not limited to: digitized construction drawings and design change documents, various safety-specific construction plans, basic information and professional qualification files of construction personnel entering the site, qualification certificates and test reports of major construction machinery and equipment and safety protection equipment, electronic records formed by daily inspections and special safety inspections, and tracking ledgers of safety hazards discovered in each investigation and their handling process.

[0013] Furthermore, the risk assessment module is configured to perform the following operations: call the real-time and historical site data obtained by the data receiving module, compare and comprehensively analyze it with the risk identification rule base, evaluation model and threshold parameters preset in the safety knowledge base, automatically identify potential hazards existing under specific work activities in the current construction stage, calculate their risk level, and generate a risk assessment report containing risk description, level evaluation, possible consequences and recommended measures in a preset format.

[0014] Furthermore, the process management module further encapsulates multiple sub-units for handling specific safety management tasks, including: a scheme approval unit, an education and briefing unit, an inspection and patrol unit, and a hazard management unit. The scheme approval unit provides online preparation, submission, multi-level countersigning, and electronic approval functions for safety-specific schemes. The education and briefing unit is used to organize, record, and manage safety education and training activities for various personnel and the safety technical briefing process for sub-projects. The inspection and patrol unit supports generating customized safety inspection task lists according to plans or random events, assigning them to designated responsible persons, and tracking the task execution status. The hazard management unit provides a closed-loop management function for the entire process of identifying safety hazards, from registration and entry, allocation of rectification responsibilities, feedback on the rectification process, to review and confirmation of rectification results.

[0015] Furthermore, the early warning push module is configured to have automatic triggering and information distribution capabilities. Its triggering conditions include: when the real-time risk level calculated by the risk assessment module exceeds a preset threshold; or when the hazard management unit in the process management module monitors that the rectification deadline for registered hazards is about to expire or has exceeded the deadline; or when the real-time monitoring data (such as displacement value, wind speed value, and load value) received by the data receiving module from the on-site monitoring device exceeds the set safety limit. Once any triggering condition is met, the module automatically generates early warning information including the early warning level, event description, location of occurrence, and handling suggestions, and pushes it to the user terminals of the relevant safety responsible persons according to preset rules.

[0016] Furthermore, the user terminal is a desktop computer, laptop computer, or smart mobile device with the platform's dedicated client software installed. The user terminal accesses and operates different management function modules provided by the central server, such as scheme approval, inspection records, hidden danger handling, early warning viewing, and statistical analysis, in a differentiated manner based on the role permissions associated with the logged-in account (such as project manager, safety director, supervising engineer, team leader, etc.). It can also report on-site data and process feedback information, while receiving task instructions and early warning notifications from the platform.

[0017] Furthermore, the statistical analysis module is configured to: perform in-depth mining and aggregation analysis on various safety business data accumulated by the platform throughout the entire lifecycle of engineering projects, including planning, design, construction, and completion, according to management needs. The analysis dimensions cover the quantity and distribution statistics of hazard types, the frequency and trend analysis of safety accidents (incidents), the timeliness and completion rate of hazard rectification, and the personnel coverage and pass rate of safety education and training. This module can generate visual charts in the form of bar charts, line charts, pie charts, dashboards, etc., to assist in safety status assessment and management decision-making.

[0018] Furthermore, the aforementioned safety knowledge base is a continuously updated rules and knowledge storage center, storing the following: current safety production laws, regulations, rules, and policy documents promulgated by the state, industry, and local governments where the project is located; relevant engineering construction safety technical standards and specifications; typical safety production accident cases and their cause analysis and lessons learned; standardized safety operating procedures for dangerous operations such as working at heights, temporary power supply, and hoisting; and internal safety management systems and implementation details formulated by the project's parent company.

[0019] This invention provides a cloud platform for safety production management throughout the entire lifecycle of construction projects, which has the following beneficial effects: 1. Achieve closed-loop management throughout the entire process and improve safety management efficiency. This platform integrates user terminals, on-site monitoring devices, databases, and knowledge bases through a central server, constructing an online closed-loop management system covering the entire business process, from scheme approval and training to inspection and patrol, hazard registration, and rectification review. Process management modules (such as the scheme approval unit and hazard management unit) transform the traditional offline paper-based, manual follow-up discrete management model into an online, automated, and real-time status-tracking collaborative model. This significantly reduces communication links and time delays, ensuring that all safety management activities are strictly implemented according to regulations, avoiding management loopholes caused by process gaps or omissions, and systematically improving the efficiency and reliability of safety production work from a management mechanism perspective.

[0020] Leveraging multi-source real-time monitoring, the platform enhances proactive risk warning capabilities. It constructs a three-dimensional real-time sensing network through on-site monitoring devices deployed at construction sites, including video surveillance, various environmental and equipment sensors, and personnel positioning beacons. The data receiving module transmits collected on-site images, environmental parameters, equipment operating status, and personnel locations to the central server in real time. The risk assessment module intelligently compares and analyzes this dynamic data against rules in the safety knowledge base. The early warning push module automatically pushes warning information to the user terminals of relevant responsible personnel when risk parameters exceed limits, high-risk sources are identified, or hazard rectification is delayed. This real-time data-based risk monitoring and automatic early warning mechanism changes the passive mode that relied mainly on regular manual inspections, enabling proactive, real-time perception and immediate intervention of major hazards and abnormal states at construction sites, effectively improving the foresight and timeliness of accident prevention.

[0021] Promoting the integration and in-depth analysis of safety data to support scientific decision-making. The platform unifies and correlates IoT data from monitoring equipment, business data from process management (such as inspection records and training records), and project documents from the data database. Based on this, the statistical analysis module can conduct multi-dimensional and cross-stage statistical and in-depth analysis of key indicators such as hazard type distribution, accident (incident) frequency, rectification completion rate, and training coverage rate, generating intuitive visualization charts. This enables project managers and regulatory departments to move beyond addressing individual issues and accurately grasp the overall safety situation, weaknesses, and management effectiveness of the project from a macro perspective, identifying common problems and trend risks. This provides objective data-driven decision support for adjusting management priorities, optimizing resource allocation, and developing targeted preventative measures, driving the transformation of safety management from experience-based judgment to data-driven approaches.

[0022] An integrated standardized knowledge base enhances management standardization and personnel safety awareness. The platform's built-in safety knowledge base centrally stores and dynamically updates national and local regulations, standards, typical accident cases, operating procedures, and corporate safety systems, forming an authoritative, unified, and easily accessible safety management knowledge center. This knowledge base not only provides analytical criteria for the risk assessment module but, more importantly, through process management modules (such as training and briefing units) and user terminals, can conveniently push and apply standardized and regulated safety requirements and warning cases directly to frontline management and operational personnel. This helps ensure that all safety activities (such as plan development, training and briefings, and hazard identification) always adhere to currently effective laws and standards. Simultaneously, through the regular learning of typical cases, it continuously strengthens the safety risk awareness and compliance consciousness of all employees, solidifying the institutional and cultural foundation of safety management.

[0023] Strengthening full-process traceability and collaborative sharing ensures the implementation of safety responsibilities by all parties. The platform digitally records all safety-related activities, states, decisions, and data changes throughout the entire lifecycle of a construction project, including who, when, what, and what actions or responses were performed, forming an immutable and complete electronic archive chain. The various digital documents stored in the database are interconnected with records generated during the process, ensuring that all information from plans, personnel, and equipment to inspections, hazards, and rectification can be quickly retrieved and traced. Simultaneously, user terminals based on access control enable multiple project stakeholders, including construction, supervision, and other stakeholders, to report information, process tasks, approve workflows, and share information on a unified platform according to their respective responsibilities. This comprehensive traceability and efficient cross-organizational collaboration greatly promotes the transparency and symmetry of safety information, providing solid technical support and management tools for clearly defining, effectively assessing, and fully implementing the safety production responsibilities of all participating parties. Attached Figure Description

[0024] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0025] Figure 1 This is a diagram of the overall architecture of the platform of this invention; Figure 2 This is a diagram illustrating the on-site monitoring and data flow of the present invention. Figure 3 This is a flowchart illustrating the risk assessment and early warning process for this invention. Figure 4 This is a closed-loop management diagram of the security process of this invention; Figure 5 This is a graph generated from the statistical analysis data of this invention. Detailed Implementation

[0026] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses consistent with some aspects of this disclosure as detailed in the appended claims.

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0028] How to use: I. System Preparation and Access 1. Deployment and Connection: First, deploy the various on-site monitoring devices described in claim 3 at the project site, including installing video surveillance equipment at fixed high points and in hazardous areas, arranging environmental sensors in key areas such as foundation pits and scaffolding, installing equipment status sensors on large construction equipment, and distributing personnel positioning beacons to on-site personnel. Simultaneously, input digitized documents such as construction drawings, special plans, and personnel files from the data database described in claim 4 into the system. The central server, user terminals, on-site monitoring devices, data database, and safety knowledge base (storing the laws, regulations, cases, procedures, etc. described in claim 10) complete physical connection and network communication configuration.

[0029] User terminal configuration: Project management personnel shall install a dedicated client (as described in claim 8) on their computers or mobile devices in their offices or through mobile work. Users log in through their assigned accounts, and the system will grant access to and operation permissions for the corresponding functional modules according to preset permissions.

[0030] II. Application of Full Lifecycle Process Management Project safety management is primarily conducted online through the process management module described in claims 2 and 6. Plan Approval: Safety-specific construction plans can be initiated, circulated, and approved online through the "Plan Approval Unit," replacing the traditional paper-based process and ensuring record-keeping.

[0031] Education and briefing: The “education and briefing unit” is used to manage safety education and training plans, record participation, and store safety technical briefing documents to ensure that education and training are traceable and coverage is verifiable (corresponding to the statistical dimensions of claim 9).

[0032] Inspection and Patrol: Managers can create daily and special safety inspection tasks through the "Inspection and Patrol Unit" and assign them to responsible persons. Inspectors can record and upload the situation on-site through user terminals.

[0033] Closed-loop hazard management: Hazards discovered during inspections or patrols are registered through the "Hazard Management Unit," automatically generating rectification tasks and notifying the responsible person. After rectification, the responsible person uploads supporting documentation, which is then reviewed and confirmed by designated personnel, achieving closed-loop online management of hazards from discovery to closure.

[0034] III. Dynamic Risk Monitoring and Early Warning The core of the platform lies in achieving dynamic risk perception and proactive early warning, a process involving the linkage of the modules described in claims 2, 5, and 7: 1. Data aggregation: The data receiving module continuously receives real-time data from on-site monitoring devices (video, sensors, positioning beacons), as well as business data such as hidden dangers and rectification generated in process management.

[0035] Risk Assessment: The risk assessment module compares and analyzes the received field data (such as sensor readings and personnel locations) with the pre-set risk rules in the safety knowledge base (such as pit settlement thresholds and electronic fences for hazardous areas) in real time to identify potential hazards in the current work activities and can generate risk assessment reports periodically or in stages.

[0036] Automatic warning: The warning push module is automatically triggered when one of the following three conditions occurs (claim 7): Risk Exceeds Limits: The risk assessment module determines that the risk level exceeds the preset threshold.

[0037] Process timeout: No rectification task in the hazard management unit was completed within the time limit.

[0038] Data anomaly: The monitoring data (such as tower crane torque and harmful gas concentration) acquired by the data receiving module exceeds the safety limit.

[0039] The system automatically generates early warning information and sends it to the user terminals of relevant responsible persons via messages, push notifications, etc., urging them to take immediate action.

[0040] IV. Data Statistical Analysis and Decision Support Administrators can access the statistical analysis module described in claims 2 and 9 via user terminals: This module aggregates and analyzes various types of safety data accumulated throughout the entire lifecycle. For example, it statistically analyzes the distribution of hazards by type and location, calculates rectification completion rates, analyzes accident (incident) frequencies, and verifies education and training coverage. The analysis results are presented in visual charts (such as pie charts, trend lines, and bar charts) to help managers at all levels of the project intuitively grasp the overall safety production situation, weaknesses, and development trends, providing data support for optimizing management resource allocation and developing targeted preventative measures.

[0041] Example: Example 1: Dynamic Early Warning and Closed-Loop Management of Risks During Deep Foundation Pit Construction This embodiment describes the application of the cloud platform for safety production management throughout the entire life cycle of building engineering in the deep foundation pit construction stage.

[0042] During the construction of deep foundation pit excavation and support, project managers first completed the online approval process of the "Special Construction Plan for Deep Foundation Pit Safety" through the user terminal in the "Plan Approval Unit" of the process management module. At the same time, on-site technicians associated the corresponding support drawings in the data database according to this plan. At the construction site, as described in claim 3, environmental sensors are densely arranged around and inside the foundation pit to monitor parameters such as soil displacement, support axial force, and groundwater level in real time; video monitoring equipment is installed at high points around the foundation pit to conduct panoramic monitoring of the operation surface.

[0043] During the construction process, the data receiving module of the central server continuously collects environmental sensor data from the foundation pit area. The risk assessment module automatically compares and analyzes this real-time data with the risk rules for deep foundation pits preset in the safety knowledge base (such as thresholds for displacement rate, percentage of axial force design value, etc.). When the data of a certain support axial force sensor continuously increases and approaches the preset warning threshold, the risk assessment module determines that the risk level has increased. Immediately, the warning push module is triggered, automatically generating a warning message containing the specific location, risk type, and risk level, and immediately pushing it to the user terminals (mobile devices or computers) of the technical person in charge, safety officer, and supervision engineer of the construction unit.

[0044] After receiving the warning, the safety officer creates a special inspection task through the user terminal in the "Inspection and Patrol Unit" of the process management module and rushes to the site for verification. After confirming the existence of safety hazards, he registers through the "Hidden Hazard Treatment Unit", and the system automatically generates a rectification notice and issues it to the person in charge of the support operation team. After the team completes the rectification, they upload the rectified photos and descriptions through the user terminal. The safety officer and the supervision engineer conduct on-site re-inspection and confirm the closed-loop in the same unit. The statistical analysis module automatically counts the type distribution, response time, and rectification completion rate of all warnings during the construction of the foundation pit at the end of this stage, providing management data support for subsequent similar projects.

[0045] Embodiment 2: Intelligent Monitoring and Management of the Operating Status of Large Tower Cranes This embodiment demonstrates the application of the platform for the safety management of large hoisting machinery and equipment.

[0046] Before a newly arrived tower crane is put into use, documents such as its equipment qualification certificate and inspection report are entered into the data database. The safety education and training records and handover records of tower crane drivers and signal slingers are completed and confirmed through the "Education and Handover Unit" of the process management module. As described in claim 3, equipment status sensors (such as torque limiters, height limiters, slewing sensors, etc.) are installed on the main structure of the tower crane, and their data is accessed into the system through a wireless network.

[0047] During hoisting operations, the central server's data receiving module receives real-time data from the tower crane's sensors, including amplitude, load, torque, and wind speed. The risk assessment module continuously calculates and evaluates the real-time load and torque based on the safety operating procedures and load curves for this type of tower crane stored in the safety knowledge base. When the actual torque value calculated by the system reaches the warning line of the rated torque during a hoisting operation (meeting the condition of "monitoring data exceeding safety limits" as described in claim 7), the warning push module immediately activates. A warning message containing the tower crane number and a risk level of "excessive torque tendency" is simultaneously pushed to the user terminal (dedicated tablet) in the tower crane operator's cab and the mobile terminals of the ground safety administrator and equipment administrator.

[0048] Upon receiving the warning, the tower crane operator immediately ceased improper operations and adjusted the lifting plan. The ground safety administrator then remotely reviewed the tower crane's recent operational data history via the user terminal, combining it with real-time video footage of the area captured by video surveillance equipment. Simultaneously, the administrator generated a specific inspection task for the lifting equipment through the process management module, requiring maintenance personnel to conduct a comprehensive inspection of the tower crane's limit switches. The inspection results were then fed back online through the hazard management process, forming a closed-loop management system for equipment risks. The statistical analysis module periodically generates equipment safety operation reports, analyzing the frequency and causes of various warnings.

[0049] Example 3: Collaborative Management of Construction Process and Monitoring for High-Rise Formwork Support Systems This embodiment demonstrates the collaborative integration of management processes and on-site monitoring in the construction of high-risk sub-projects using the platform.

[0050] Before pouring concrete for the high-rise formwork support system, the construction plan had been reviewed and approved online through the plan approval unit. In the "Education and Disclosure Unit" of the process management module, the project's technical leader conducted an online safety and technical briefing for all pouring personnel, and relevant personnel confirmed the briefing with electronic signatures. In the work area, as described in claim 3, environmental sensors (such as settlement monitoring points) were placed at key stress points of the support frame.

[0051] On the day of concrete pouring, the pouring order was approved in the system. After pouring began, the data receiving module continuously acquired settlement and displacement data from various sensors on the support frame. Simultaneously, the safety officer, through the inspection and patrol unit on the user terminal, conducted planned safety inspections of the pouring work area and recorded the inspection results in real time. The risk assessment module not only analyzed the sensor data but also combined it with records of any unclosed scaffolding hazards in the "hazard management unit" for comprehensive judgment. If, for example, abnormal changes occur in scaffolding settlement data, but the alarm threshold has not yet been reached, and the risk assessment module, based on accident case models in the knowledge base, determines that the work status poses a high risk, it may trigger the early warning push module to send risk alerts to the on-site technical supervisor and team leader.

[0052] Throughout the process, managers can simultaneously view the scheme briefing records, real-time monitoring data curves, on-site inspection records, and hazard handling status on a single interface through user terminals, significantly improving their comprehensive control over the dynamic and high-risk process of constructing tall formwork support systems. After the project is completed, the statistical analysis module can perform correlation analysis on the monitoring data, inspection records, and early warning events throughout the entire formwork project lifecycle to generate a safety management assessment for this sub-project.

[0053] Example 4: Personnel Safety Monitoring and Emergency Response in Confined Space Operations This embodiment describes the application of the platform in ensuring personnel safety during operations in confined spaces such as tunnels and utility tunnels.

[0054] Before entering an underground utility tunnel for construction, the work team applied for a "Confined Space Hazardous Operation Permit" via the user terminal. The process management module pushed this application to the heads of safety and technical departments for online approval. After approval, the list of workers and the work time window were recorded by the system. All personnel entering the tunnel wore personnel positioning beacons as described in claim 3. Environmental sensors (monitoring oxygen and toxic gas concentrations) and video surveillance equipment were deployed at the tunnel entrance and key internal nodes.

[0055] During operations, the central server uses a data receiving module to monitor the precise location of each worker (via location beacons) and environmental data within the utility tunnel in real time. The risk assessment module compares personnel locations with an electronic map of the utility tunnel area. If the system detects unauthorized personnel entering a permitted area, or if environmental sensors detect oxygen concentrations below safety standards (meeting the data exceedance scenario in claim 7), the early warning push module will immediately activate. The system not only sends audible and visual alarms to the portable user terminals of personnel on duty inside the tunnel, but also pushes warning information including personnel identification, specific location, and risk type to the user terminals of external monitors and the project emergency command center.

[0056] External supervisors can immediately view the internal situation through video monitoring equipment and direct personnel evacuation or activate emergency plans via the communication system. The entire early warning and response process is fully recorded by the system. Furthermore, the "education and briefing unit" in the process management module ensures that all personnel have received specialized confined space safety training, and these records are readily available for review. The statistical analysis module can periodically analyze the types and patterns of risk events occurring in different confined space operations.

[0057] Example 5: Comprehensive Analysis and Decision Support of Safety Production Status Throughout the Project Lifecycle This embodiment demonstrates the application of the platform in the project management team's in-depth utilization of security data throughout the entire lifecycle.

[0058] When a project enters its mid-term or any summary stage, senior management personnel from the construction unit and the general contractor need to access the statistical analysis module of the central server through user terminals to gain a macro-level understanding of the overall safety and production situation of the project.

[0059] Based on the functions defined in claim 9, the statistical analysis module automatically processes the massive amounts of multi-source safety data generated throughout the entire lifecycle up to the current point in time. This includes: obtaining various types of hazard data from the process management module and statistically distributing them across multiple dimensions according to hazard type (such as falls from heights, falling objects, electric shocks, etc.), responsible unit, and location of occurrence; calculating the hazard rectification completion rate and average rectification time for the entire project; statistically analyzing the coverage of safety education and training for various personnel; and integrating historical early warning records from the early warning push module to analyze high-frequency risk points.

[0060] All analysis results are not simply lists of numbers, but are presented intuitively through rich visualizations (such as heat maps showing the distribution of hazards, trend charts showing monthly accident frequency changes, and pie charts showing the percentage of rectification status). Project managers can clearly see, for example, that the proportion of scaffolding-related hazards increased significantly in the third quarter, and the timeliness of rectification decreased. Based on this, they can decide to increase investment in special inspections of scaffolding projects in the next phase and organize retraining for scaffolding work teams. This insight based on global data mining transforms safety management decisions from experience-driven to data-driven, effectively improving the efficiency of management resource allocation and the accuracy of risk prevention and control. At the same time, all analytical data originates from process records, monitoring data, and early warning logs generated by the platform itself, ensuring the authenticity and timeliness of the decision-making basis.

[0061] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A cloud platform for safety production management throughout the entire lifecycle of construction projects, characterized in that: include: The system includes a central server, user terminals, on-site monitoring devices, a data database, and a safety knowledge base. The central server is communicatively connected to the user terminals, the on-site monitoring devices, the data database, and the safety knowledge base. The user terminals are located in the offices of the project stakeholders, and the on-site monitoring devices are deployed at the construction site of the building project.

2. The cloud platform for full life-cycle safety production management of construction projects according to claim 1, characterized in that, The central server includes: a data receiving module, a risk assessment module, a process management module, an early warning push module, and a statistical analysis module; the data receiving module is connected to the risk assessment module and the process management module respectively; the risk assessment module is connected to the early warning push module; the process management module, the early warning push module, and the statistical analysis module are all communicatively connected to the user terminal.

3. The cloud platform for full life-cycle safety production management of construction projects according to claim 1, characterized in that, The on-site monitoring device includes: video surveillance equipment, environmental sensors, equipment status sensors, and personnel positioning beacons; the video surveillance equipment is installed at fixed high points on the construction site and around hazardous work areas; the environmental sensors are arranged in the areas of foundation pits, tunnels, scaffolding, and tall formwork support systems; the equipment status sensors are installed on the main structures of tower cranes, construction hoists, and material hoists; and the personnel positioning beacons are carried by personnel entering the construction site.

4. The cloud platform for full life-cycle safety production management of construction projects according to claim 1, characterized in that, The database stores digital documents related to project safety, including: construction drawings, safety plans, construction personnel files, equipment qualification certificates, safety inspection records, and accident hazard ledgers.

5. The cloud platform for full life-cycle safety production management of construction projects according to claim 2, characterized in that, The risk assessment module is configured to: compare and analyze the on-site data obtained by the data receiving module with the risk rules preset in the safety knowledge base, identify potential hazards in the current construction phase and operation activities, and generate a risk assessment report.

6. The cloud platform for full life-cycle safety production management of construction projects according to claim 2, characterized in that, The process management module includes: a scheme approval unit, an education and briefing unit, an inspection and patrol unit, and a hazard management unit. The scheme approval unit is used for online circulation and approval of safety-specific schemes. The education and briefing unit is used to manage safety education and training and safety technology briefing records. The inspection and patrol unit is used to generate, distribute, and track various safety inspection tasks. The hazard management unit is used for closed-loop management of the registration, rectification, and re-inspection of identified safety hazards.

7. The cloud platform for full life-cycle safety production management of construction projects according to claim 2, characterized in that, The early warning push module is configured to automatically generate early warning information and push it to the relevant user terminal when the risk assessment module identifies that the risk level exceeds a preset threshold, or the hidden danger management unit in the process management module exceeds the rectification timeout, or the monitoring data received by the data receiving module exceeds the safety limit.

8. The cloud platform for full life-cycle safety production management of construction projects according to claim 1, characterized in that, The user terminal is a computer or mobile device with a dedicated client installed. Based on the permissions of the login account, the user terminal can access and operate different management function modules provided by the central server, and perform data reporting and receiving.

9. The cloud platform for full life-cycle safety production management of construction projects according to claim 2, characterized in that, The statistical analysis module is configured to perform multi-dimensional statistical analysis on safety data generated throughout the entire lifecycle, including the distribution of hazard types, accident frequency, rectification completion rate, and education and training coverage, and generate visual charts.

10. The cloud platform for safety production management throughout the entire life cycle of construction projects according to any one of claims 1 to 9, characterized in that, The safety knowledge base stores national and local laws, regulations, standards, norms, typical accident cases, hazardous operation procedures, and enterprise safety management systems.

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