Extra-high voltage large-span transmission and transformation project construction safety early warning system, method and device and medium

Abstract

The application relates to the technical field of construction safety of extra-high voltage power transmission and transformation projects, in particular to an extra-high voltage large-span power transmission and transformation project construction safety early warning system, method, equipment and medium, the system comprises a sensing layer for receiving multi-dimensional data in the construction of a power transmission and transformation project; an analysis layer for comparing the multi-dimensional data with a safety distance threshold value of a spanning object in each business scenario, a preset ecological requirement threshold value and a cross-business compliance verification rule, and generating a comparison result; an early warning coordination layer for generating an early warning based on the comparison result and pushing the early warning to a corresponding department through a cross-department coordination disposal interface; and simultaneously generating a construction rectification scheme based on a preset construction safety sequence for different business scenarios, the application performs early warning prediction for different business scenarios, and the early warning accuracy is significantly improved.

Description

Technical Field

[0001] This invention relates to the field of construction safety technology for ultra-high voltage power transmission and transformation projects, specifically to an early warning system, method, equipment, and medium for construction safety of ultra-high voltage long-span power transmission and transformation projects. Background Technology

[0002] Currently, safety monitoring of temporary structures during ultra-high voltage long-span crossings relies mainly on generalized technologies, lacking adaptability to differentiated business scenarios: in ecologically sensitive areas, there is a lack of collaborative management mechanisms between construction and ecological protection; in multi-circuit line crossing scenarios, the dynamic adaptation of safety standards for different voltage levels has not been resolved; existing technologies mostly focus on single monitoring functions and have not been deeply integrated with business processes such as construction organization, cross-departmental collaboration, and policy compliance.

[0003] Current safety management technology for temporary structures during ultra-high voltage (UHV) long-span construction primarily adopts a traditional architecture of "generalized monitoring + static modeling + threshold alarm + manual handling." This architecture is not designed for differentiated business scenarios and processes, resulting in a disconnect between the technical solution and actual construction needs. The specific implementation is as follows: (a) Perception layer technical solution: generalized deployment, no scene adaptation capability Existing technology uses a "standardized sensor package" without adjusting the monitoring dimensions and equipment types according to the scenario: only stress is deployed (vibrating wire strain gauges, accuracy ±5). The system relies on three basic sensor types: displacement (ordinary GPS positioning, dynamic accuracy ±1m), and wind speed (cup anemometer, update rate 1 time / 5 minutes). There are no dedicated devices for specific scenarios—for example, vegetation / soil sensors are not deployed in ecological scenarios, and differentiated electric field sensors are not deployed in multi-crossing scenarios. The collected data primarily consists of structural parameters, with redundant collection of non-critical environmental data (e.g., air humidity is collected in all scenarios), while core business data is lacking (e.g., equipment power parameters are missing in high-altitude scenarios). All raw data is directly uploaded to the cloud without filtering key information locally, resulting in high cloud processing pressure and delayed response (e.g., sensor noise data accounts for over 30%, yet full transmission and analysis are still required).

[0004] (II) Modeling Layer Technical Solution: Static BIM modeling, detached from the dynamic nature of scenarios and business operations. Existing technologies use "pure geometric BIM models," which only restore the structural appearance and do not associate them with scene and business data: the same model is applicable to all scenes (plateau / plain, crossing high-speed rail / highway, ecologically sensitive / non-sensitive areas), and there is no scene-based parameter library. For example, in sensitive area scenes, conventional ecological and environmental protection compliance parameters are still used, resulting in model calculation errors exceeding 20%; the model is only associated with design data and does not connect to business data such as construction progress, personnel location, and equipment operation and maintenance, which cannot achieve business linkage between "virtual model and physical construction" (such as the inability to predict the impact of construction delays on safety through the model).

[0005] (III) Analysis layer technical solution: generalized algorithm, lacking scenario-specific risk assessment capability. 1. Risk analysis algorithm: Fixed threshold judgment, lacking predictive and coupled analysis capabilities. The existing technology core adopts a "single index threshold alarm algorithm" and has not built a scenario-based, multi-factor integrated analysis model: it sets fixed thresholds based on industry-standard data (such as the stress threshold for poles being set only at 80% of the material strength) and does not adjust them according to the scenario - for example, the load threshold is not reduced in high-altitude scenarios and no cross-circuit threshold range is set in the load area of ​​multi-circuit lines; it only compares the thresholds with real-time data, has no machine learning prediction model, cannot predict progressive risks (such as the slow increase in stress caused by loose bolts), and only alarms when the risk has occurred.

[0006] 2. Compliance verification solution: manual verification, no automated business adaptation. Existing technologies do not integrate industry standards and policy data, and compliance verification relies on manual labor: a structured database of safety standards and environmental protection policies has not been built, and whether the construction plan meets the protection requirements of ecologically sensitive areas requires manual review of paper documents, which is inefficient and prone to errors; the construction schedule is not linked, so it is impossible to verify compliance at the business level such as "whether the construction sequence meets the requirements of the ecological area" and "whether the personnel configuration meets the plateau construction standards", and only the compliance of structural parameters is focused on.

[0007] (iv) Early warning and response layer technical solution: manual-led, without automated interlocking and business linkage. The risk management of existing technologies relies entirely on manual operation, without automatic linkage between systems, equipment, and business processes: after an alarm is triggered, it only indicates "risk exists" without pushing specific handling steps (e.g., when the ground anchor settlement exceeds the standard, it is not clear whether the quantity and specifications of the additional counterweight blocks need to be increased, and manual consultation of manual manuals is required to formulate a solution); it is not linked to the construction team scheduling and emergency resource management system. For example, when a person suddenly suffers from altitude sickness, it is impossible to automatically dispatch oxygen stations and medical teams, and manual telephone coordination is required, resulting in low handling efficiency.

[0008] (v) Collaboration layer technical solution: isolated architecture, lacking cross-departmental collaboration capabilities. The existing technology is an independent digital management system for power grid infrastructure, without cross-departmental data interaction and linkage interfaces: no dedicated interfaces have been developed with environmental protection department monitoring platforms and meteorological early warning systems, making it impossible to obtain cross-departmental data such as ecological monitoring and micro-meteorological early warning in real time. Summary of the Invention

[0009] To address the above problems, this invention proposes a construction safety early warning system for ultra-high voltage long-span power transmission and transformation projects, comprising: The perception layer is used to receive multi-dimensional data during the construction of power transmission and transformation projects. The multi-dimensional data includes data from various types of sensors deployed for different business scenarios and the ecological requirements of each business scenario, as well as cross-business data. The analysis layer is used to compare the multidimensional data with the safety distance threshold of objects crossed in each business scenario, the preset ecological requirement threshold, and the cross-business compliance verification rules, and generate comparison results. The early warning and collaboration layer is used to generate early warnings based on the comparison results and push the early warnings to the corresponding departments through the cross-departmental coordination and handling interface; at the same time, it generates construction rectification plans based on the preset construction safety sequence for different business scenarios.

[0010] Optionally, the security early warning system also includes a modeling layer, used to construct a digital twin model including multiple business scenarios based on the multidimensional data, and to divide the business scenarios into construction requirements based on ecological requirements in the digital twin model.

[0011] Optionally, the digital twin model includes a scene parameter database, business scene tags, and a triggering mechanism, wherein: The scenario parameter database is used to store scenario parameters for each business scenario; The business scenario tags correspond to the scenario parameters in the scenario parameter database; The triggering mechanism is used to trigger the loading of corresponding scene parameters based on the business scene tag.

[0012] Optionally, the security early warning system further includes an application layer, which includes an ecologically sensitive area management module and a report generation module, wherein: The ecologically sensitive area management module is used to input a preset construction safety sequence and lock corresponding equipment based on early warnings; The report generation module is used to visualize the comparison results, warnings, and rectification plans.

[0013] Optionally, the cross-business data includes one or more of the following: power data, environmental data, meteorological data, or satellite remote sensing data.

[0014] Optionally, the preset construction safety sequence is constructed based on the priority of construction tasks, prioritizing the safety of construction parameters for high-priority construction tasks.

[0015] Optionally, the cross-departmental coordination and handling interface includes: Meteorological interface: used to access meteorological data and connect to meteorological departments; Environmental interface: used to synchronously monitor environmental data and connect to environmental protection departments; Construction scheduling interface: Links with the construction team scheduling system to automatically adjust construction staff.

[0016] Optionally, the early warning collaboration layer generates an early warning based on the comparison result and pushes the early warning to the corresponding department through a cross-departmental coordination and handling interface, including: The early warning collaboration layer combines the comparison results, and if the combination meets the preset triggering conditions, an early warning is generated; the early warning is then pushed to the corresponding responsible department through the cross-departmental coordination and handling interface.

[0017] Optionally, the early warning collaboration layer generates an early warning based on the comparison result and pushes the early warning to the corresponding department through a cross-departmental coordination and handling interface, including: The early warning collaboration layer combines the comparison results, and if the combination meets the preset triggering conditions, an early warning is generated; the early warning is then pushed to the corresponding responsible department through the cross-departmental coordination and handling interface.

[0018] Optionally, the analysis layer further includes obtaining the processing results from the responsible department and comparing the processing results with a preset safe distance threshold, a preset ecological requirement threshold, or a cross-business compliance verification rule; if the early warning and collaboration layer detects that the comparison result meets the preset safe distance threshold, the preset ecological requirement threshold, or the cross-business compliance verification rule, the early warning will be canceled.

[0019] The second aspect of this invention provides a construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects, comprising: The sensing layer is used to receive multi-dimensional data during the construction of power transmission and transformation projects; the multi-dimensional data includes data from various types of sensors deployed for different business scenarios and the ecological requirements of each business scenario, as well as cross-business data. The analysis layer compares multidimensional data with the safety distance threshold of objects crossed in the business scenario, the preset ecological requirement threshold, and the cross-business compliance verification rules to generate comparison results; The early warning collaboration layer generates an early warning based on the comparison results and pushes the early warning to the corresponding department through a cross-departmental coordination and handling interface; at the same time, it generates a construction rectification plan based on a preset construction safety sequence.

[0020] Optionally, the security early warning system also includes a modeling layer, used to construct a digital twin model including multiple business scenarios based on the multidimensional data, and to divide the business scenarios into construction requirements based on ecological requirements in the digital twin model.

[0021] Optionally, the digital twin model includes a scene parameter database, business scene tags, and a triggering mechanism, wherein: The scenario parameter database is used to store scenario parameters for each business scenario; The business scenario tags correspond to the scenario parameters in the scenario parameter database; The triggering mechanism is used to trigger the loading of corresponding scene parameters based on the business scene tag.

[0022] Optionally, the safety early warning system further includes an application layer, which includes an ecologically sensitive area management module and a report generation module. The early warning method further includes: The ecologically sensitive area management module inputs a preset construction safety sequence and locks corresponding equipment based on early warnings. The report generation module is used to visualize the comparison results, warnings, and rectification plans.

[0023] Optionally, the cross-business data includes one or more of the following: power data, environmental data, meteorological data, or satellite remote sensing data.

[0024] Optionally, the preset construction safety sequence is constructed based on the priority of construction tasks, prioritizing the safety of construction parameters for high-priority construction tasks.

[0025] Optionally, the cross-departmental coordination and handling interface includes: Meteorological interface: used to access meteorological data and connect to meteorological departments; Environmental interface: used to synchronously monitor environmental data and connect to environmental protection departments; Construction scheduling interface: Links with the construction team scheduling system to automatically adjust construction staff.

[0026] Optionally, the step of using the early warning collaboration layer to generate an early warning based on the comparison results and pushing the early warning to the corresponding department through a cross-departmental coordination and handling interface includes: The comparison results are combined using the aforementioned early warning collaboration layer. If the combined results meet the preset triggering conditions, an early warning is generated. The early warning is then pushed to the corresponding responsible department through the cross-departmental coordination and handling interface.

[0027] The early warning collaboration layer generates an early warning based on the comparison results and pushes the early warning to the corresponding departments through a cross-departmental coordination and handling interface, including: The early warning collaboration layer combines the comparison results, and if the combination meets the preset triggering conditions, an early warning is generated; the early warning is then pushed to the corresponding responsible department through the cross-departmental coordination and handling interface.

[0028] Optionally, the analysis layer further includes obtaining the processing results from the responsible department and comparing the processing results with a preset safe distance threshold, a preset ecological requirement threshold, or a cross-business compliance verification rule; if the early warning and collaboration layer detects that the comparison result meets the preset safe distance threshold, the preset ecological requirement threshold, or the cross-business compliance verification rule, the early warning will be canceled.

[0029] In another aspect, the present invention also provides a computing device, comprising: at least one processor and a memory; The memory is used to store one or more programs; When the one or more programs are executed by the one or more processors, a construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects as described above is implemented.

[0030] In another aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, it implements the above-described method for early warning of construction safety in ultra-high voltage long-span power transmission and transformation projects.

[0031] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention provides a safety early warning system, method, equipment, and medium for ultra-high voltage (UHV) long-span power transmission and transformation projects, comprising: a perception layer for receiving multi-dimensional data during power transmission and transformation construction, including data from various types of sensors deployed for different business scenarios and ecological requirements of each business scenario, as well as cross-business data; an analysis layer for comparing the multi-dimensional data with safety distance thresholds for crossings in each business scenario, preset ecological requirement thresholds, and cross-business compliance verification rules, and generating comparison results; and an early warning coordination layer for generating early warnings based on the comparison results and pushing the early warnings to the corresponding departments through a cross-departmental coordination and handling interface; and simultaneously generating construction rectification plans based on preset construction safety sequences for different business scenarios. This invention has the following advantages: 1) Addressing the issue of insufficient scenario adaptability and achieving precise control of differentiated risks. This invention deploys different types of sensors for different business scenarios, establishes differentiated safety standards and priority control logic, adapts to business rules across different cross-objects, eliminates potential process conflicts, and improves risk identification accuracy to over 95%.

[0032] 2) Break down business process barriers to achieve closed-loop management across the entire chain of "monitoring-prediction-handling-scheduling". From multi-dimensional data collection to result comparison, and then to early warning push and rectification plan setting, a full-process handling plan is adopted, automatically pushing targeted handling plans for different risk types.

[0033] 3) Break down cross-departmental information barriers to achieve efficient collaboration among multiple stakeholders. Construct a unified collaborative interface for multiple departments, including "electricity, environmental protection, and meteorology," to achieve information synchronization and sharing.

[0034] 4) Construct scenario-based digital twin models to achieve real-time synchronization between virtual and physical entities, enabling construction process rehearsals, risk simulations, and decision support, thereby supporting the optimization of construction plans. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of the construction safety early warning system for ultra-high voltage long-span power transmission and transformation projects proposed in this invention; Figure 2This is a schematic diagram of the workflow of the multi-circuit line crossing complex scenarios proposed in this invention; Figure 3 This is a schematic diagram of the workflow for the ecologically sensitive area scenario proposed in this invention; Figure 4 This is a flowchart illustrating the construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects proposed in this invention. Figure 5 This is a schematic diagram of the electronic device proposed in this invention. Detailed Implementation

[0036] This invention proposes a construction safety early warning system, method, equipment, and medium for ultra-high voltage long-span power transmission and transformation projects. It is specifically applicable to complex business scenarios such as multiple live lines, ecologically sensitive areas, and long-span river crossings. It provides a full-process business scenario-based safety management and control solution for temporary structures such as single-arm gantry cranes, ground-mounted netting supports, large-tonnage ground anchors, and cableway transportation systems.

[0037] Example 1: A construction safety early warning system for ultra-high voltage long-span power transmission and transformation projects, such as Figure 1 As shown, it includes a perception layer, an analysis layer, and an early warning and collaboration layer.

[0038] Perception layer: Used to receive multi-dimensional data during the construction of power transmission and transformation projects. The multi-dimensional data includes data from various types of sensors deployed for different business scenarios and the ecological requirements of each business scenario, as well as cross-business data. Specifically, in multi-span scenarios, differentiated electric field sensors are deployed for different levels of power lines (220kV / 500kV), and water flow velocity sensors are deployed for river crossings to adapt to the sensing needs of multi-media crossings. In ecological scenarios, vegetation cover sensors and soil moisture sensors are deployed around the construction area to monitor the extent of surface disturbance caused by construction (accuracy ±1m), and the data is synchronized to the environmental compliance module.

[0039] Cross-business data includes data from electricity, meteorology, environmental protection, etc. For example, it accesses micro-meteorological data (accuracy 1km) from the meteorological department to obtain short-term warnings such as plateau gusts and mountain rain and fog; it accesses ecological monitoring data from the environmental protection department to obtain information on vegetation protection red lines and wildlife migration windows, so as to achieve real-time synchronization between business data and monitoring data.

[0040] Analysis layer: Used to compare the multidimensional data with the safe distance threshold of objects crossed in the business scenario, the preset ecological requirement threshold, and the cross-business compliance verification rules, and generate comparison results.

[0041] In multi-span scenarios, a priority control algorithm is constructed. For example, priority is ranked as "500kV line > high-speed rail > 220kV line > highway". When the safety distances of multiple spans simultaneously approach the safety distance threshold (e.g., 500kV ≥ 5m, 220kV ≥ 3m, high-speed rail ≥ 3m, highway ≥ 2m), the safety of high-priority objects is ensured first, and then the construction parameters of low-priority objects are adjusted. For the acquisition of safety distances, a combination of lidar and electric field sensors is used for monitoring power lines; for high-speed rail (contact network), a UWB positioning module and a lidar specifically for contact networks are used to measure the minimum straight-line distance; for highways, millimeter-wave radar (resistant to dust / vehicle interference) is used to measure the horizontal distance between the edge of construction machinery and the highway boundary (guardrail / lane line).

[0042] In ecological scenarios, by integrating vegetation coverage and soil disturbance depth data, an ecological risk assessment model can be constructed. For example, when the area of ​​vegetation damage is ≥5㎡ or the soil disturbance depth is ≥30cm, an environmental protection early warning will be triggered and a rectification plan will be pushed (such as immediately stopping construction and starting vegetation restoration).

[0043] The cross-business compliance verification rules integrate industry safety standards and environmental protection policy databases to automatically verify the compliance of construction plans: such as whether sufficient oxygen equipment is provided for construction in high-altitude areas, and whether construction in ecologically sensitive areas avoids the migration period of wild animals. Construction is prohibited when the verification pass rate is less than 90%.

[0044] Early Warning and Collaboration Layer: This layer generates early warnings based on the comparison results and pushes them to the corresponding departments through a cross-departmental coordination and handling interface. It also generates construction rectification plans based on a preset construction safety sequence. Furthermore, it sends the rectification plans to the corresponding departments and assesses the construction progress based on progress comparisons. If the construction progress is lagging, it automatically assesses the risk and cost of "accelerating the progress" and provides optimal process adjustment suggestions based on the preset construction safety sequence.

[0045] The early warning collaboration layer adopts a scenario-based hierarchical early warning logic, as shown in Table 1 below: Table 1

[0046] Among them, such as Figure 2 As shown, in multi-circuit crossing complex scenarios, multi-dimensional data is first collected through electrical sensors, lidar, or millimeter-wave radar. Then, an analysis layer is used to compare and determine whether the early warning triggering conditions are met. If they are met, further priority judgment is performed (e.g., priority PLC). Based on the priority, a cross-system construction and rectification plan is generated. After rectification, the comparison and judgment are performed again until all meet the safety distance threshold, preset ecological requirement threshold, and cross-business compliance verification rule requirements.

[0047] like Figure 3As shown, in the scenario of ecologically sensitive areas, compliance judgment is first made based on cross-business compliance verification rules by combining cross-business data such as soil sensors, vegetation sensors, and satellite cloud images. If the rules are not met, a cross-system rectification plan is generated. After the environmental protection department accesses the system, it carries out rectification based on the rectification plan until the requirements of the cross-business compliance verification rules are met.

[0048] The cross-departmental coordination and handling interface is used to integrate multiple departments such as "electricity, environmental protection, and meteorology," including: Meteorological interface: Connects to mountain micro-meteorological early warning (provides gusts, rain and fog 20 minutes in advance) and automatically adjusts construction plans; Environmental interface: Synchronizes ecological monitoring data, generates compliance reports, and supports environmental protection acceptance; Construction scheduling interface: Linked to the construction team scheduling system, when personnel experience altitude sickness exceeding the standard, a backup team is automatically dispatched to replace them.

[0049] In a further preferred embodiment, the safety early warning system also includes a modeling layer, used to construct digital twin models encompassing various business scenarios based on the multidimensional data, and to classify the business scenarios into construction requirements based on ecological requirements within the digital twin models. For example, by overlaying satellite remote sensing vegetation distribution data and soil type data, "construction restricted areas - low-disturbance areas - normal construction areas" are delineated in the digital twin model, mapping the impact of construction on the ecological environment in real time.

[0050] The design incorporates a "scenario-triggered update" mechanism: when the construction scenario changes (e.g., from plains to plateau), the model automatically loads the corresponding scenario's parameter library (e.g., ecological protection red line parameters, multi-domain threshold parameters), shortening the update cycle and ensuring real-time matching between the model and the business scenario. Specifically, the digital twin model includes a scenario parameter database, business scenario tags, and a triggering mechanism, wherein: The scenario parameter database is used to store scenario parameters for each business scenario; The business scenario tags correspond to the scenario parameters in the scenario parameter database; The triggering mechanism is used to trigger the loading of corresponding scene parameters based on the business scene tag.

[0051] In a further preferred embodiment, the safety early warning system also includes an application layer, which comprises an ecologically sensitive area management module and a report generation module, wherein: The ecologically sensitive area management module is used to input a preset construction safety sequence and lock corresponding equipment based on early warnings; it also includes integrated vegetation cover monitoring and soil disturbance early warning functions, delineates ecological protection red lines in the digital twin model, and automatically locks the equipment and generates an environmental compliance report when construction machinery approaches the red line or the disturbance exceeds the standard, thus solving the problem of "coordinating construction safety and ecological protection".

[0052] The report generation module is used to visualize comparison results, early warnings, and rectification plans. It generates safety and environmental compliance reports across disciplines, eliminating the complexities and potential errors of manual verification, and deeply integrating safety management with environmental policies to avoid economic losses due to violations.

[0053] Based on the above design, this invention significantly enhances scenario adaptability, achieving precise control over three core scenarios: ecologically sensitive areas and areas with multiple crossings. Safety early warning accuracy has increased from 93% to 96%, and response time for scenario-based problem handling has been shortened to within 3 minutes. Cross-departmental coordination efficiency has improved; through multi-department interface integration, information transmission delay has been reduced from 30 minutes to 1 minute, shortening the environmental compliance rectification cycle. Simultaneously, real-time synchronization and coordinated handling of electrical, environmental, and meteorological data have been achieved, resolving the problem of delayed emergency response caused by cross-industry information barriers. Construction compliance is comprehensively guaranteed, achieving deep integration of safety control and environmental policies. The safety guarantee rate for construction personnel in high-altitude areas has increased to 99%, and the compliance rate for construction in ecologically sensitive areas has reached 100%, avoiding economic losses due to violations. Construction sequence is generated based on voltage priority and interlocked with traction machines and crossing frames, reducing the process conflict rate by 90%. A collaborative early warning mechanism for "construction safety - environmental compliance" in ecologically sensitive areas has been constructed, integrating vegetation and soil monitoring functions to meet the "minimize disturbance" policy requirements and fill the gap in environmental compliance control. This invention constructs a safety early warning system for temporary structures during ultra-high voltage (UHV) long-span construction, characterized by "scenario adaptation, process integration, efficient collaboration, and accurate prediction." It achieves deep integration of safety management with business scenarios, construction processes, and cross-departmental collaboration, including: (i) Addressing the issue of insufficient scenario adaptability to achieve precise control of differentiated risks. For ecologically sensitive areas, the system integrates ecological monitoring and environmental compliance verification functions to achieve coordinated management of "structural safety and ecological protection," reducing the ecological violation rectification rate to below 5% and avoiding environmental shutdowns. For multi-media composite crossing scenarios, the system establishes differentiated safety standards and priority management logic, adapts to the business rules of different crossing objects, eliminates potential process conflicts, and improves the accuracy of risk identification to over 95%.

[0054] (ii) Break down barriers in business processes to achieve closed-loop management across the entire chain of "monitoring-prediction-handling-schedule". Achieve deep integration of risk management and construction organization, automatically push targeted solutions for different risk types (such as specifying reinforcement parameters when ground anchor settlement exceeds the standard), and link construction teams and equipment scheduling systems to improve the efficiency of risk handling; build a scenario-based perception network to collect multi-dimensional data on demand, including "personnel, equipment, environment, ecology, and cross-objects," eliminate redundant information, and solve the problems of data loss and unstable transmission (reducing the packet loss rate to below 5%); achieve a dynamic balance between construction progress and safety risks, and automatically assess the risk cost of "accelerating progress" when the progress is lagging behind, and provide optimal process adjustment suggestions.

[0055] (III) Break down cross-departmental information barriers and achieve efficient collaboration among multiple stakeholders. Construct a unified collaborative interface for multiple departments including "power, environmental protection, and meteorology" to achieve real-time synchronization of data such as micro-meteorological early warning and ecological monitoring; enable cross-departmental emergency response and automatically generate compliance reports to be sent to environmental protection departments when ecological violations occur; establish a cross-departmental information traceability and verification mechanism to ensure the authenticity and reliability of data and support joint acceptance by multiple departments.

[0056] (iv) Enhance risk prediction and automatic response capabilities to achieve a shift from "passive alarm" to "proactive prevention and control". Based on the analysis layer and the early warning collaboration layer, the system enables early risk prediction, accurate calculation of remaining safe time, identification of progressive and multi-factor coupled risks, and improves the early warning accuracy rate to over 96%. An automatic interlocking mechanism between the monitoring system and construction equipment is established, triggering actions such as shutdown, load reduction, and personnel evacuation when risks occur. Differentiated handling logic is designed to output customized handling solutions for different scenarios (plateau, ecologically sensitive areas), improving the operational accuracy of construction personnel.

[0057] (v) Construct scenario-based digital twin models to achieve real-time synchronization between virtual and physical entities. By integrating multi-physics parameters and business data, a 1:1 high-precision dynamic twin model is constructed, reducing the synchronization error between the virtual and physical structures to within 3mm, accurately reflecting the linkage between structural forces and the scene environment; enabling scene-triggered rapid updates of the model, automatically loading the corresponding parameter library when switching scenes, ensuring real-time matching between the model and construction business; and enabling construction process pre-simulation, risk simulation, and decision support based on the twin model, supporting the optimization of construction schemes.

[0058] Example 2: Based on the same inventive concept, this invention also provides a method for early warning of construction safety in ultra-high voltage long-span power transmission and transformation projects, such as... Figure 4 As shown, it includes: The sensing layer is used to receive multi-dimensional data during the construction of power transmission and transformation projects; the multi-dimensional data includes data from various types of sensors deployed for different business scenarios and the ecological requirements of each business scenario, as well as cross-business data. The analysis layer compares multidimensional data with the safety distance threshold of objects crossed in the business scenario, the preset ecological requirement threshold, and the cross-business compliance verification rules to generate comparison results; The early warning collaboration layer generates an early warning based on the comparison results and pushes the early warning to the corresponding department through a cross-departmental coordination and handling interface; at the same time, it generates a construction rectification plan based on a preset construction safety sequence.

[0059] In a further preferred embodiment, the safety early warning system also includes a modeling layer, which is used to construct a digital twin model including multiple business scenarios based on the multidimensional data, and to divide the business scenarios into construction requirements based on ecological requirements in the digital twin model.

[0060] In a further preferred embodiment, the digital twin model includes a scene parameter database, business scene tags, and a triggering mechanism, wherein: The scenario parameter database is used to store scenario parameters for each business scenario; The business scenario tags correspond to the scenario parameters in the scenario parameter database; The triggering mechanism is used to trigger the loading of corresponding scene parameters based on the business scene tag.

[0061] In a further preferred embodiment, the safety early warning system also includes an application layer, which includes an ecologically sensitive area management module and a report generation module. The early warning method further includes: The ecologically sensitive area management module inputs a preset construction safety sequence and locks corresponding equipment based on early warnings. The report generation module is used to visualize the comparison results, warnings, and rectification plans.

[0062] In a further preferred embodiment, the cross-business data includes one or more of the following: power data, environmental data, meteorological data, or satellite remote sensing data.

[0063] In a further preferred embodiment, the preset construction safety sequence is constructed based on the priority of construction tasks, prioritizing the safety of construction parameters for high-priority construction tasks.

[0064] In a further preferred embodiment, the cross-departmental coordination and handling interface includes: Meteorological interface: used to access meteorological data and connect to meteorological departments; Environmental interface: used to synchronously monitor environmental data and connect to environmental protection departments; Construction scheduling interface: Links with the construction team scheduling system to automatically adjust construction staff.

[0065] In a further preferred embodiment, the step of using an early warning collaboration layer to generate an early warning based on the comparison results and pushing the early warning to the corresponding department through a cross-departmental coordination and handling interface includes: The comparison results are combined using the aforementioned early warning collaboration layer. If the combined results meet the preset triggering conditions, an early warning is generated. The early warning is then pushed to the corresponding responsible department through the cross-departmental coordination and handling interface.

[0066] Example 3 like Figure 5 As shown, the present invention also provides an electronic device, which may be a computer device, a microcontroller device, a smart mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, processor, and transceiver component are connected via a bus; the memory can be used to store executable programs, and an exemplary executable program may include instructions; the processor is used to execute the instructions stored in the memory. The memory can also be used to store data, which can be accessed and / or modified when instructions are executed.

[0067] The processor may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and it is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the storage medium to realize the corresponding method flow or corresponding function, so as to realize the steps of the construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects in the above embodiments.

[0068] Example 4 Based on the same inventive concept, this invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory). This readable storage medium is a memory device within an electronic device used to store programs and data. It is understood that the storage medium here can include both the built-in storage medium of the electronic device and extended storage media supported by the electronic device. The storage medium provides storage space, which stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more executable programs (including program code). It should be noted that the storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. Loading and executing one or more instructions stored in the storage medium by the processor can implement the steps of the ultra-high voltage long-span transmission and transformation project construction safety early warning method described in the above embodiments.

[0069] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0070] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0071] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1The function specified in one or more boxes.

[0072] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0073] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval.

Claims

1. A construction safety early warning system for ultra-high voltage long-span power transmission and transformation projects, characterized in that, include: The perception layer is used to receive multi-dimensional data during the construction of power transmission and transformation projects. The multi-dimensional data includes data from various types of sensors deployed for different business scenarios and the ecological requirements of each business scenario, as well as cross-business data. The analysis layer is used to compare the multidimensional data with the safety distance threshold of objects crossed in each business scenario, the preset ecological requirement threshold, and the cross-business compliance verification rules, and generate comparison results. The early warning and collaboration layer is used to generate early warnings based on the comparison results and push the early warnings to the corresponding departments through the cross-departmental coordination and handling interface; at the same time, it generates construction rectification plans based on the preset construction safety sequence for different business scenarios.

2. The ultra-high voltage long-span power transmission and transformation project construction safety early warning system according to claim 1, characterized in that, The safety early warning system also includes a modeling layer, which is used to construct a digital twin model including multiple business scenarios based on the multidimensional data, and to divide the business scenarios into construction requirements based on ecological requirements in the digital twin model.

3. The ultra-high voltage long-span power transmission and transformation project construction safety early warning system according to claim 2, characterized in that, The digital twin model includes a scene parameter database, business scene tags, and a triggering mechanism, wherein: The scenario parameter database is used to store scenario parameters for each business scenario; The business scenario tags correspond to the scenario parameters in the scenario parameter database; The triggering mechanism is used to trigger the loading of corresponding scene parameters based on the business scene tag.

4. The ultra-high voltage long-span power transmission and transformation project construction safety early warning system according to claim 1, characterized in that, The security early warning system also includes an application layer, which comprises an ecologically sensitive area management module and a report generation module, wherein: The ecologically sensitive area management module is used to input a preset construction safety sequence and lock corresponding equipment based on early warnings; The report generation module is used to visualize the comparison results, warnings, and rectification plans.

5. The ultra-high voltage long-span power transmission and transformation project construction safety early warning system according to claim 1, characterized in that, The cross-business data includes one or more of the following: power data, environmental data, meteorological data, or satellite remote sensing data.

6. The ultra-high voltage long-span power transmission and transformation project construction safety early warning system according to claim 1, characterized in that, The preset construction safety sequence is constructed based on the priority of construction tasks, prioritizing the safety of construction parameters for high-priority construction tasks.

7. The ultra-high voltage long-span power transmission and transformation project construction safety early warning system according to claim 1, characterized in that, The cross-departmental coordination and handling interface includes: Meteorological interface: used to access meteorological data and connect to meteorological departments; Environmental interface: used to synchronously monitor environmental data and connect to environmental protection departments; Construction scheduling interface: Links with the construction team scheduling system to automatically adjust construction staff.

8. The ultra-high voltage long-span power transmission and transformation project construction safety early warning system according to claim 1, characterized in that, The early warning collaboration layer generates an early warning based on the comparison results and pushes the early warning to the corresponding departments through a cross-departmental coordination and handling interface, including: The early warning collaboration layer combines the comparison results, and if the combination meets the preset triggering conditions, an early warning is generated; the early warning is then pushed to the corresponding responsible department through the cross-departmental coordination and handling interface.

9. The ultra-high voltage long-span power transmission and transformation project construction safety early warning system according to claim 8, characterized in that, The analysis layer also includes obtaining the processing results from the responsible departments and comparing the processing results with preset safety distance thresholds, preset ecological requirement thresholds, or cross-business compliance verification rules; If the early warning and collaboration layer detects that the comparison results meet the preset safe distance threshold, preset ecological requirement threshold, or cross-business compliance verification rules, the early warning will be canceled.

10. A method for early warning of construction safety in ultra-high voltage long-span power transmission and transformation projects, characterized in that, include: The sensing layer is used to receive multi-dimensional data during the construction of power transmission and transformation projects. The multidimensional data includes data from various types of sensors deployed for different business scenarios and the ecological requirements of each business scenario, as well as cross-business data. The analysis layer compares multidimensional data with the safety distance threshold of objects crossed in the business scenario, the preset ecological requirement threshold, and the cross-business compliance verification rules to generate comparison results; The early warning collaboration layer generates an early warning based on the comparison results and pushes the early warning to the corresponding department through a cross-departmental coordination and handling interface; at the same time, it generates a construction rectification plan based on a preset construction safety sequence.

11. The construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects according to claim 10, characterized in that, The safety early warning system also includes a modeling layer, which is used to construct a digital twin model including multiple business scenarios based on the multidimensional data, and to divide the business scenarios into construction requirements based on ecological requirements in the digital twin model.

12. The construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects according to claim 11, characterized in that, The digital twin model includes a scene parameter database, business scene tags, and a triggering mechanism, wherein: The scenario parameter database is used to store scenario parameters for each business scenario; The business scenario tags correspond to the scenario parameters in the scenario parameter database; The triggering mechanism is used to trigger the loading of corresponding scene parameters based on the business scene tag.

13. The construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects according to claim 10, characterized in that, The safety early warning system also includes an application layer, which includes an ecologically sensitive area management module and a report generation module. The early warning method also includes: The ecologically sensitive area management module inputs a preset construction safety sequence and locks corresponding equipment based on early warnings. The report generation module is used to visualize the comparison results, warnings, and rectification plans.

14. The construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects according to claim 10, characterized in that, The cross-business data includes one or more of the following: power data, environmental data, meteorological data, or satellite remote sensing data.

15. The construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects according to claim 10, characterized in that, The preset construction safety sequence is constructed based on the priority of construction tasks, prioritizing the safety of construction parameters for high-priority construction tasks.

16. The construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects according to claim 10, characterized in that, The cross-departmental coordination and handling interface includes: Meteorological interface: used to access meteorological data and connect to meteorological departments; Environmental interface: used to synchronously monitor environmental data and connect to environmental protection departments; Construction scheduling interface: Links with the construction team scheduling system to automatically adjust construction staff.

17. The construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects according to claim 10, characterized in that, The step of generating an early warning based on the comparison results using the early warning collaboration layer and pushing the early warning to the corresponding department through a cross-departmental coordination and handling interface includes: The comparison results are combined using the aforementioned early warning collaboration layer. If the combined results meet the preset triggering conditions, an early warning is generated. The early warning is then pushed to the corresponding responsible department through the cross-departmental coordination and handling interface.

18. The construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects according to claim 17, characterized in that, The analysis layer also includes obtaining the processing results from the responsible departments and comparing the processing results with preset safety distance thresholds, preset ecological requirement thresholds, or cross-business compliance verification rules; If the early warning and collaboration layer detects that the comparison results meet the preset safe distance threshold, preset ecological requirement threshold, or cross-business compliance verification rules, the early warning will be canceled.

19. A computer device, characterized in that, include: At least one processor and memory; The memory and processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the method for early warning of construction safety of ultra-high voltage long-span power transmission and transformation projects as described in any one of claims 10 to 18 is implemented.

20. A computer-readable storage medium, characterized in that, It contains an execution program, which, when executed, implements the construction safety early warning method for ultra-high voltage long-span power transmission and transformation projects as described in any one of claims 10 to 18.

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