New energy construction personnel positioning and fencing system based on GIS

Abstract

The invention discloses a new energy construction personnel positioning and fence system based on a GIS, and relates to the technical field of new energy electric power construction safety management, and the method comprises the following steps: generating initial positioning data; establishing a unified space-time reference through a precise clock synchronization protocol based on GNSS time service, and resolving to generate precise ranging reference data; based on the GIS map data, inputting a preset operation permission state, preset construction machinery working condition parameters and preset environment monitoring parameters, and generating parameterized fence data; and according to the accurate distance measurement reference data, the initial positioning data and the parameterized fence data, performing constraint optimization on the initial positioning data by utilizing geographic topological information in the GIS map data to obtain corrected personnel trajectory data, and completing safety judgment to realize personnel positioning and fence. According to the method, the problem that dynamic region constraint and stable management and control cannot be carried out in complex terrains and weak network environments in the prior art can be solved.

Description

Technical Field

[0001] This invention relates to the field of safety management technology for new energy power construction, specifically to a GIS-based personnel positioning and fencing system for new energy construction. Background Technology

[0002] With the rapid development of new energy power construction, the scale of projects such as wind farms, photovoltaic power stations, and energy storage power stations is constantly expanding. Construction sites are typically located in mountainous areas, deserts, offshore areas, or regions far from municipal infrastructure. These construction projects involve a large number of personnel and complex job types, and the construction process involves many high-risk aspects such as hoisting, high-voltage operation, slope work, and transportation of large equipment. To ensure construction safety, it is essential to monitor personnel locations in real time and establish dynamic safety control measures in the work area.

[0003] In existing technologies, personnel positioning mainly relies on GNSS, Bluetooth, or single UWB technology, which is prone to positioning drift, signal interruption, or insufficient accuracy in complex terrain and weak network environments. Meanwhile, traditional electronic fences are mostly configured with fixed boundaries, unable to dynamically adjust according to construction machinery operating conditions, work permit status, and environmental conditions, resulting in lag and inapplicability in safety management. Furthermore, some systems lack a unified time synchronization mechanism and network outage self-management capabilities, posing a risk of data delay or interruption at remote new energy construction sites, affecting the continuity of construction safety management. Therefore, the shortcomings of existing technologies are mainly reflected in the lack of a personnel positioning and safety fence system that combines high-precision positioning, dynamic area constraints, and stable management capabilities in complex construction scenarios such as new energy power construction, failing to meet the real-time and reliability requirements during construction. Summary of the Invention

[0004] The purpose of this invention is to provide a GIS-based system for locating and fencing personnel in new energy construction, in order to solve the problem that existing technologies cannot perform dynamic area constraints and stable management in complex terrain and weak network environments.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: Firstly, a GIS-based method for locating and fencing personnel in new energy construction includes the following steps: Acquire GNSS observations, UWB signal ranging values, and inertial measurement data, and generate initial positioning data; A unified spatiotemporal reference is established based on GNSS time synchronization and through a precise clock synchronization protocol, and accurate ranging reference data is generated. Based on GIS map data and by inputting preset work permit status, preset construction machinery operating parameters and preset environmental monitoring parameters, parameterized fence data is generated. Based on the precise ranging reference data, initial positioning data, and parameterized fence data, the initial positioning data is constrained and optimized using the geographic topology information in the GIS map data to obtain corrected personnel trajectory data. Based on the corrected personnel trajectory data and the parameterized fence data, a safety determination is made to achieve personnel positioning and fencing.

[0006] In some implementations, the following steps are also included: Based on the corrected personnel trajectory data, and in conjunction with the preset work permit status and preset construction machinery operating parameters, risk analysis is performed to obtain risk heat map data. Based on the risk heat map data and the corrected personnel trajectory data, a risk distribution map of the construction area and corresponding control instructions are generated.

[0007] In some implementations, the GIS map data includes vector tiles and a digital elevation model, and a topological consistency check is performed on the road, platform, and ladder elements in the GIS map data before generating the parameterized fence data.

[0008] In some implementations, the preset construction machinery operating parameters include: crane slewing angle, operating radius, and lifting weight; and the preset environmental monitoring parameters include wind speed and cable current value.

[0009] In some implementations, a safety determination is made based on the corrected personnel trajectory data and the parameterized fence data, specifically including: The parametric fence data includes risk level information, which includes: high risk level, medium risk level and general risk level; Based on parameterized fence data marked as high-risk, when the corrected personnel trajectory data corresponds to personnel with valid work permits, it is determined that entry is safe; Based on parameterized fence data labeled as medium risk level, when the corrected personnel trajectory data corresponds to personnel entering under supervision; Based on the parameterized fence data marked as low-risk, only the corrected personnel trajectory data is recorded.

[0010] In some implementations, the probability of entering the high-risk, medium-risk, and low-risk areas in the parameterized fence data is calculated using the Gaussian convolution integral method. When the probability of entering a corresponding area is greater than a corresponding preset threshold, it is determined that the person has entered the corresponding area. The threshold for the high-risk area is 0.6, the threshold for the medium-risk area is 0.5, and the threshold for the general-risk area is 0.4.

[0011] In some implementations, a safety determination is made based on the corrected personnel trajectory data and the parameterized fence data, specifically including: When the security determination result is that the person has illegally entered the area corresponding to the high-risk level, an audible and visual alarm command is generated and issued, and a corresponding event record is generated at the same time.

[0012] In some implementations, the following steps are also included: If the risk level continues to rise based on the risk level information of the area shown in the risk heatmap data, then the safety buffer zone is expanded or the preset threshold is lowered.

[0013] Secondly, a GIS-based system for locating and fencing personnel in new energy construction includes: The positioning terminal is used to acquire GNSS observations, UWB signal ranging values, and inertial measurement data, and to generate initial positioning data; UWB anchor arrays are used to establish a unified spatiotemporal reference based on GNSS timing and through a precision clock synchronization protocol, and to calculate and generate accurate ranging reference data. The GIS map service module is used to generate parameterized fence data based on GIS map data and by inputting preset work permit status, preset construction machinery operating parameters and preset environmental monitoring parameters. An edge gateway is used to optimize the initial positioning data by using the geographic topology information in the GIS map data based on the precise ranging reference data, initial positioning data, and parameterized fence data, to obtain corrected personnel trajectory data, and to complete a safety determination based on the corrected personnel trajectory data and the parameterized fence data, thereby realizing personnel positioning and fencing.

[0014] In some implementations, it also includes: The fusion and audit cloud service module is used to perform risk analysis based on several corrected personnel trajectory data, combined with the preset work permit status and preset construction machinery operating parameters, to obtain risk heat map data; The visual command terminal is used to generate a risk distribution map of the construction area and corresponding control instructions based on the risk heat map data and the corrected personnel trajectory data.

[0015] The positioning terminal is used to collect GNSS, UWB, IMU, barometer, and Bluetooth angle information to achieve sub-meter-level personnel positioning and has offline caching and audio-visual prompting functions in weak network environments. The UWB anchor array forms a unified spatiotemporal reference under GNSS timing and PTP synchronization, providing accurate ranging reference. The edge gateway adopts a sliding window factor graph optimization algorithm, using roads, work platforms, and hazardous areas provided by the GIS map service as topological constraints, and introduces them into the positioning solution process to achieve trajectory continuity correction, and performs permission-driven parameterized fence judgment and linkage control locally. The GIS map service maintains the road network, wind turbine tower foundations, photovoltaic support areas, and temporary cable layout locations at the new energy power construction site, and dynamically generates parameterized fences based on work permits, crane operating conditions, and meteorological conditions. The fusion and audit cloud service smooths and stores the trajectories reported by the edge gateway and generates minute-level risk heat maps. The visualization command terminal is used to display the risk distribution of the construction area, receive and issue control instructions, and realize construction safety management.

[0016] Furthermore, the map data published by the GIS map service includes vector tiles and digital elevation models, and a topology consistency check is used to ensure that the data on roads, stairways, and platforms at the construction site match the actual terrain.

[0017] Furthermore, the parametric fence is generated using parameters such as crane slewing angle, operating radius, load weight, wind speed, and cable current. The crane operating area is extended outward to form a safety buffer zone, and an electrical buffer zone is superimposed on the high-voltage cable area, thereby realizing the construction of a dynamic permission fence.

[0018] Furthermore, the fence is linked to personnel work permits. High-risk areas are only open to construction personnel with permits, medium-risk areas are allowed to be entered under supervision, and general areas are only recorded on the movement of personnel.

[0019] Furthermore, when performing fence determination, the edge gateway inputs the positioning result and two-dimensional covariance into the determination engine, calculates the entry probability using the Gaussian convolution integral method, and sets entry thresholds according to the risk level: 0.6 for high-risk areas, 0.5 for medium-risk areas, and 0.4 for general areas.

[0020] Furthermore, when the edge gateway determines that personnel have illegally entered a high-risk area, it will activate the sound and light alarm of the positioning terminal within 200 milliseconds, and link the on-site broadcast and intercom system, while generating an event record and reporting it to the command center.

[0021] Furthermore, the fusion and auditing cloud service generates a risk heat map based on personnel trajectories, permit status, and the operating range of construction machinery. When the risk level of a certain area continues to rise, it sends an adjustment instruction to the edge gateway to expand the fence buffer zone or lower the entry threshold.

[0022] Furthermore, the system uses GNSS as a unified timing reference and distributes it within the local area network via PTP. The edge gateway has a built-in temperature-controlled crystal oscillator with a timekeeping stability of no more than 100ppb and a drift of no more than 1 millisecond during a four-hour network outage.

[0023] Furthermore, the data communication uses compact binary encoding, and the fields include timestamp, anonymous identifier, coordinates, covariance, quality index and power status. The link is transmitted end-to-end with encryption, and all data is digitally signed.

[0024] Furthermore, the system supports edge gateways in generating event hash chains and uploading them to the Merkle root, storing access logs in the cloud, and performing differential privacy processing on trajectory data before analysis to ensure data security and compliance.

[0025] Compared with the prior art, the present invention has the following beneficial effects: This invention acquires and fuses GNSS, UWB, and inertial measurement data to generate initial positioning data, effectively overcoming the limitations of single signals being easily interrupted or lacking accuracy in complex terrain, thus ensuring the continuity and robustness of positioning. By establishing a unified spatiotemporal reference based on GNSS timing and a precision clock synchronization protocol, it ensures the long-term stability and synchronization of the system's internal clock in weak or offline environments, providing a reliable timing basis for all positioning and event data and realizing autonomous operation during network outages. By combining GIS map data with dynamically input work permits, machinery operating conditions, and environmental parameters to generate parameterized fence data, the safety zone boundary can be adjusted in real time and automatically according to construction progress, equipment status, and the natural environment, completely changing the lag of traditional static fences. By introducing GIS geographic topology information to constrain and optimize the initial positioning data, it effectively suppresses unreasonable trajectory drift in complex environments, and completes safety judgment locally based on the optimized trajectory and parameterized fence data, achieving millisecond-level safety response and fundamentally solving the problem of control delays or interruptions caused by weak networks. Ultimately, the synergistic effect of these features enables high precision and continuity of personnel positioning in complex construction scenarios of new energy projects, dynamic and adaptive safety zone constraints, and stability and reliability of the overall control system, significantly improving construction safety, management efficiency, and accident traceability. Attached Figure Description

[0026] Figure 1 A flowchart illustrating a GIS-based method for locating and fencing personnel in new energy construction, as provided in an embodiment of the present invention. Figure 2 The diagram shows the structure of a GIS-based new energy construction personnel positioning and fencing system provided in this embodiment of the invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0028] like Figure 1 As shown, this embodiment provides a GIS-based method for locating and fencing personnel in new energy construction, including the following steps: S1: Acquire GNSS observations, UWB signal ranging values, and inertial measurement data, and generate initial positioning data; S2 establishes a unified spatiotemporal reference based on GNSS time synchronization and through a precise clock synchronization protocol, and calculates and generates accurate ranging reference data. S3 generates parameterized fence data based on GIS map data and by inputting preset work permit status, preset construction machinery operating parameters and preset environmental monitoring parameters. The preset construction machinery operating parameters include: crane slewing angle, operating radius and lifting weight, and the preset environmental monitoring parameters include wind speed and cable current value.

[0029] The GIS map data includes vector tiles and digital elevation models, and before generating the parameterized fence data, a topological consistency check is performed on the road, platform, and ladder elements in the GIS map data.

[0030] S4. Based on the precise distance measurement reference data, initial positioning data, and parameterized fence data, the initial positioning data is constrained and optimized using the geographic topology information in the GIS map data to obtain corrected personnel trajectory data. Based on the corrected personnel trajectory data and the parameterized fence data, a safety determination is made to achieve personnel positioning and fencing.

[0031] S4 performs a safety assessment based on the corrected personnel trajectory data and the parameterized fence data, specifically including: The parametric fence data includes risk level information, which includes: high risk level, medium risk level and general risk level; Based on parameterized fence data marked as high-risk, when the corrected personnel trajectory data corresponds to personnel with valid work permits, it is determined that entry is safe; Based on parameterized fence data labeled as medium risk level, when the corrected personnel trajectory data corresponds to personnel entering under supervision; Based on the parameterized fence data labeled as low-risk, only the corrected personnel trajectory data is recorded. The probability of entering the high-risk, medium-risk, and low-risk areas in the parameterized fence data is calculated using the Gaussian convolution integral method. When the probability of entering a corresponding area is greater than a preset threshold, it is determined that the person has entered the corresponding area. The threshold for high-risk areas is 0.6, for medium-risk areas it is 0.5, and for low-risk areas it is 0.4.

[0032] When the security determination result is that the person has illegally entered the area corresponding to the high-risk level, an audible and visual alarm command is generated and issued, and a corresponding event record is generated at the same time.

[0033] It also includes the following steps: Based on the corrected personnel trajectory data, and in conjunction with the preset work permit status and preset construction machinery operating parameters, risk analysis is performed to obtain risk heat map data. Based on the risk heat map data and the corrected personnel trajectory data, a risk distribution map of the construction area and corresponding control instructions are generated.

[0034] If the risk level continues to rise based on the risk level information of the area shown in the risk heatmap data, then the safety buffer zone is expanded or the preset threshold is lowered.

[0035] like Figure 2 As shown, this embodiment provides a GIS-based personnel positioning and fencing system for new energy construction, primarily applied to new energy power construction sites such as wind farms, photovoltaic power stations, and energy storage power stations. The system consists of positioning terminals, a UWB anchor array, an edge gateway, GIS map services, fusion and auditing cloud services, and a visual command terminal. It aims to solve the problems of discontinuous personnel positioning, delayed permit control, and insufficient safety risk response in complex construction environments.

[0036] The system adopts a layered architecture of "terminal-edge-cloud". The positioning terminal combines GNSS, UWB, IMU, barometer, and Bluetooth angle information to achieve sub-meter-level personnel positioning, and features offline caching and audio-visual alerts in weak network environments. The UWB anchor array forms a unified spatiotemporal reference under GNSS timing and PTP synchronization, improving positioning reliability at the construction site. The edge gateway, based on a sliding window factor graph optimization algorithm, uses roads, work platforms, and hazardous areas in the GIS map as topological constraints to achieve trajectory continuity and rationality correction, while simultaneously performing real-time judgment and linkage control of permitted fences locally. The GIS map service maintains the road network, wind turbine tower foundations, photovoltaic support areas, and temporary high-voltage cable locations in the construction area, and dynamically generates parametric fences based on work permits, crane operating conditions, and weather conditions. The cloud platform is responsible for trajectory smoothing, event evidence storage, and risk heat map generation, providing auxiliary decision-making for on-site safety management and construction scheduling.

[0037] Through the above design, the system can achieve precise positioning and dynamic fence control of personnel during the construction of new energy power plants, ensuring safety, continuity and traceability in complex construction environments.

[0038] To further explain the working principle and implementation of this GIS-based new energy construction personnel positioning and fencing system, each component is described in detail below. The description covers GIS maps and topological constraints, permission-driven parametric fencing, edge-side probability determination and local linkage, risk heatmap generation and closed-loop adjustment, network outage autonomy and clock synchronization assurance, data protocol and interface design, security and privacy audit mechanisms, and key performance parameters and acceptance procedures. The following content is based on... Figure 2 The overall system architecture shown is for illustrative purposes only.

[0039] At new energy power construction sites, wind farms are often located in mountainous or hilly areas, while photovoltaic power stations are frequently distributed in complex environments such as deserts and Gobi. Construction areas are characterized by diverse terrain, temporary roads, and uneven distribution of hazardous areas. Therefore, the GIS map service module in this invention maintains geographic feature data that is highly matched to the construction site, including road networks, construction access roads, wind turbine tower foundation areas, photovoltaic support installation areas, energy storage container deployment areas, dangerous slope surfaces, temporary cable routing, and restricted areas.

[0040] Map data is provided in the form of vector tiles and digital elevation models, and is consistent with the unified projection coordinate system of the construction site. Before the map data is imported into the database, the system performs a topology consistency check to ensure that elements such as roads, platforms, and stairways match the actual construction site, and controls the update process through version numbers and sequence numbers.

[0041] When performing sliding window factor map optimization, the edge gateway incorporates the aforementioned GIS elements as topological constraints into the positioning solution process. For example, the lateral deviation of trajectory points is controlled within one meter, and slope variations are limited by the characteristics of the construction site: the allowable slope for mountainous wind farm construction areas does not exceed 35 degrees, for photovoltaic power station construction areas it does not exceed 15 degrees, and for energy storage station areas it does not exceed 10 degrees. Simultaneously, trajectory points must not cross dangerous slope surfaces or temporary restricted areas, thus ensuring the rationality and continuity of the positioning results.

[0042] By introducing GIS topological constraints, this system can effectively avoid location drift and boundary crossing in the complex construction environment of new energy power projects, thereby improving the authenticity of personnel trajectory data and the accuracy of safety management.

[0043] In the construction of new energy power plants, wind turbine blade hoisting, tower erection, large-scale photovoltaic module deployment, energy storage equipment hoisting, and live-line construction of high-voltage cables are all high-risk scenarios, and traditional fixed boundary fences are insufficient to meet the needs of dynamic safety management. Therefore, this invention introduces a permission-driven parametric fence mechanism based on GIS maps.

[0044] This mechanism dynamically generates a perimeter fence by comprehensively analyzing work permit status, construction machinery operating parameters, and environmental data. Specifically, this includes: the crane's slewing angle, operating radius, lifting weight, and operating height; meteorological conditions such as wind speed, wind direction, temperature, and humidity; and the real-time current and voltage status of high-voltage cables. Driven by this data, the system automatically calculates the sweep area of ​​the lifting equipment and generates a safety buffer zone based on wind speed and load parameters. Simultaneously, an electrical buffer zone is superimposed on energized areas, ultimately forming a parameterized permit fence covering the construction site.

[0045] The fence not only defines the spatial geometric boundaries but is also linked to personnel work permits. For example, a fence around a crane operation area may only allow access to construction workers holding the appropriate work permits and qualifications; any entry by other personnel will trigger an alarm. Different fenced areas can also be configured with tiered strategies: high-risk areas are strictly restricted, medium-risk areas allow entry under supervision, and general areas only require trajectory recording.

[0046] This permission-driven parametric fence supports both periodic and event-triggered updates. When hoisting equipment starts up, the weather changes abruptly, or the power status changes, the system can complete the fence update within seconds and take effect on the edge gateway after verification by digital signature and sequence number, thereby achieving dynamic and precise security area control.

[0047] At new energy power construction sites, the construction area is usually large and personnel are scattered. Simple geometric boundary crossing judgment is easily affected by positioning errors, leading to false alarms or missed alarms. To address this, this invention introduces a probability-based entry judgment mechanism within the edge gateway, combined with local rapid linkage control, to achieve more reliable security management.

[0048] Specifically, the edge gateway inputs the positioning results and the two-dimensional covariance matrix into the decision engine, and rasterizes the parameterized permission fence to a resolution of 0.5 meters. Based on this, the overlap probability between the personnel location distribution and the fence boundary is calculated using the Gaussian convolution integral method. The system sets different entry decision thresholds according to the risk level of the fence: a threshold of 0.6 is set in high-risk areas such as wind turbine blade hoisting and live high-voltage cables; a threshold of 0.5 is set in medium-risk areas such as photovoltaic module installation or energy storage equipment hoisting; and a threshold of 0.4 is set in general road inspection or material transportation areas.

[0049] To avoid repeated alarm triggering at the boundary, the system is designed with a hysteresis band of 0.01, meaning that when a person's location is near a critical value, an event is only triggered after the entry probability has consistently exceeded the threshold. If a person is determined to have entered a high-risk fence without the appropriate work permit, the system will activate the positioning terminal to issue an audible and visual alert within 200 milliseconds, and simultaneously link the edge gateway with on-site broadcasting, intercom systems, and other facilities to provide an emergency warning. At the same time, the event log generated by the edge gateway includes a timestamp, coordinates, entry probability value, and handling measures, and is reported to the command center in real time.

[0050] This probabilistic judgment and local linkage mechanism is particularly suitable for new energy power construction scenarios. It can provide accurate safety prompts during large-scale wind turbine installation or photovoltaic deployment, and avoid excessive alarms caused by positioning jitter, thus ensuring construction safety while taking into account construction efficiency.

[0051] In the construction of new energy power plants, the distribution of personnel and machinery is often dynamic and concentrated. For example, hoisting operations in wind farms are usually concentrated near several tower foundations, peak construction periods in photovoltaic power plants are often concentrated in the module laying area, and energy storage stations are concentrated in the area for large container hoisting and electrical commissioning. If personnel density and areas with overlapping risks cannot be dynamically identified, it will be difficult to adjust the fencing range and safety strategies in a timely manner.

[0052] To address this, the present invention introduces a risk heatmap mechanism on the cloud platform. Based on personnel location trajectories, work permit status, terrain slope, road conditions, and construction machinery operating range reported by edge gateways, the system generates a risk heatmap updated every minute. This heatmap is distributed to each edge gateway in a tile-based manner, enabling rapid synchronization of on-site risk perception.

[0053] When the risk level of a certain area continues to rise, for example, when there is an excessive concentration of people near the hoisting point of the fan blade, or when personnel are still in the high-altitude working area of the bracket at the photovoltaic construction site during windy weather, the cloud system will automatically feedback to the edge gateway, requesting to increase the width of the fence buffer zone in this area, lower the entry threshold, or directly raise the alarm level. After receiving the risk feedback, the edge gateway will immediately adjust the fence parameters to achieve the closed-loop dynamic regulation of risk - fence - alarm.

[0054] In addition, the risk heat map also provides a visual reference for the command end. Commanders can directly identify high-risk areas through the graphical interface and issue decision-making instructions such as personnel diversion, road traffic restriction, or suspension of construction accordingly. Through this closed-loop adjustment mechanism, the system can achieve precise response to dynamic risks in the complex working conditions of new energy power construction, significantly improving the overall safety level of the construction site.

[0055] The new energy power construction site is usually located in mountainous areas, deserts or offshore environments far from municipal infrastructure, and insufficient or unstable communication network coverage is a common problem. To ensure the continuous operation of the system under weak network or no-network conditions, the present invention designs a no-network autonomous and unified timing guarantee mechanism.

[0056] In terms of timing, the system uses the GNSS signal as the globally unified time reference and distributes it within the local area network through PTP (Precision Time Protocol), enabling the UWB anchor array, edge gateway, and positioning terminal to maintain microsecond-level synchronization. The edge gateway is built-in with a high-stability oven-controlled crystal oscillator (OCXO), whose timing stability is not higher than 100 ppb, and it can still maintain a time drift of no more than 1 millisecond even within four hours of network interruption, thus ensuring the chronological consistency of positioning data and event records.

[0057] Under no-network conditions, the positioning terminal and the edge gateway pre-store the GIS tiles of the construction area and the permission fence rules, and can independently complete personnel positioning and fence determination. When it is detected that a person enters a high-risk area without a work permit, the system will still trigger local audible and visual alarms and linkage control, and cache the event in an encrypted manner. After the network is restored, the edge gateway will align the trajectory and event sequence based on the unified time scale and report them to the cloud one by one, ensuring the integrity of the construction log and the traceability of the audit chain.

[0058] This no-network autonomous and timing guarantee mechanism is particularly suitable for weak network scenarios at new energy power construction sites, such as the foundation construction of mountain wind farms, the component installation of desert photovoltaic power stations, and the hoisting operation of energy storage equipment far from the municipal power grid. The system can still operate stably in such environments, avoiding the failure of safety risk monitoring caused by network interruption.

[0059] At new energy power construction sites, data transmission needs to balance the complex construction environment, limited network bandwidth, and strong security and compliance requirements. To address this, this invention designs efficient and secure data protocols and interface mechanisms within the system to ensure stable interaction of personnel location, permission fencing, and security alarm information between the edge, cloud, and endpoints.

[0060] In terms of data encoding, location messages adopt a compact binary encoding format, with fields including timestamp, anonymity identifier, coordinate information, covariance matrix, positioning quality indicators, and terminal power status. This design effectively reduces the data volume of a single message while ensuring the integrity of necessary information, making it suitable for low-bandwidth transmission needs in weak network environments such as mountain wind farms and Gobi photovoltaic power stations.

[0061] In terms of interface design, the GIS map service provides a standardized tile retrieval interface, supporting incremental updates by region to reduce network load. The permissioned fence push interface includes geometric boundary summary, risk level, version number, and validity period fields. After receiving the data, the edge gateway needs to perform signature verification and sequence confirmation to ensure the integrity and timeliness of fence updates.

[0062] For alarm events, after triggering local linkage, the edge gateway generates an event receipt with a timestamp and digital signature. Fields include the triggering personnel ID, fence number, entry probability value, and handling measures. This receipt is reported to the cloud and archived via an encrypted link to ensure the traceability and non-repudiation of the event.

[0063] In addition, the command center enables unified monitoring of the construction site through a visual interface. It provides a data subscription mechanism, supports real-time display of personnel location trajectories, risk heat maps, and event receipts, and allows managers to issue temporary restriction orders, such as restricting access to a certain construction area or adjusting the fence level.

[0064] Through the above data protocol and interface design, this system realizes efficient data transmission and secure interaction in the construction of new energy power, effectively supporting the real-time positioning and dynamic control requirements in complex construction environments.

[0065] New energy power construction sites often involve multiple construction companies, equipment suppliers, and operation and maintenance teams, resulting in a complex personnel composition. Without a unified data security and privacy protection mechanism, information leaks and unclear responsibilities can easily occur. Therefore, this invention introduces a multi-layered security and privacy audit mechanism into the system to ensure the security and compliance of data transmission, storage, and access processes.

[0066] In terms of communication security, the system adopts an end-to-end encryption mechanism. Two-way authentication and encryption channels are used between the positioning terminal and the edge gateway, and between the edge gateway and the cloud, to prevent man-in-the-middle attacks and data tampering. At the same time, every location message, fence update, and event receipt is digitally signed to ensure the authenticity and integrity of the data during transmission.

[0067] Regarding privacy protection, the location tracking device uses anonymous identifiers instead of real personal identity information, and these identifiers are updated regularly to prevent long-term tracking. Data reporting follows the principle of minimum necessity, including only the core elements required for security control, avoiding excessive collection of personal information. Historical trajectories undergo differential privacy processing before being analyzed in the cloud to reduce the risk of reverse identification.

[0068] Regarding the auditing mechanism, the edge gateway generates a hash chain for all event records and periodically uploads it to the cloud to form a Merkle root, ensuring data immutability. In the event of an accident during construction, the auditor can verify the hash chain to recover the authenticity of the event, ensuring clear accountability. The cloud retains complete access logs, recording the timestamp, operation type, and authorized personnel information for each data read and operation, providing a basis for subsequent compliance checks.

[0069] Through the aforementioned security and privacy auditing mechanisms, this invention not only ensures the security of personnel positioning and fence control at new energy power construction sites, but also ensures the compliance and transparency of data use in a multi-party collaborative environment, thereby enhancing the system's credibility and engineering promotion value.

[0070] To ensure the system's feasibility for implementation at new energy power construction sites, this invention has strictly set key performance parameters and established a systematic acceptance process.

[0071] In terms of positioning accuracy, the system requires a 95% percentile error of no more than 0.5 meters in open environments and no more than 1 meter in complex, obstructed environments such as wind turbine tower foundations, densely packed photovoltaic support areas, or energy storage container deployment areas. Positioning continuity must be maintained at over 99% during peak construction periods to ensure uninterrupted personnel trajectory recording during large-scale operations.

[0072] In terms of alarm performance, the triggering delay of fence entry events shall not exceed 3 seconds, the false alarm rate in high-risk areas shall be controlled below 3%, and the false alarm rate shall not exceed 1%. For lifting and hoisting and live-line operation scenarios, the system requires that the delay between local alarm triggering and on-site audio-visual prompts shall not exceed 200 milliseconds to meet the safety protection requirements of instantaneous high-risk working conditions.

[0073] In terms of time synchronization, the system provides microsecond-level timing accuracy through GNSS and PTP, with edge gateway time drift not exceeding 1 millisecond, ensuring accurate alignment of trajectories and event logs even in the event of network outages. Fence update latency must be less than 10 seconds to meet the rapid response requirements under dynamic conditions such as wind turbine installation and temporary cable energization switching.

[0074] Regarding the acceptance process, system testing is divided into three scenarios: 1. Static point test: Static points are set up in the open area of ​​the wind farm, the photovoltaic array area and the energy storage station area to test the positioning accuracy, error distribution and time synchronization consistency.

[0075] 2. Dynamic inspection test: Simulate the movement trajectory of construction workers in scenarios such as roads, slopes, and tower platforms to verify the continuity of positioning and the stability of fence judgment.

[0076] 3. High-risk operating condition test: Test the system's performance in dynamic fence updates, real-time alarm triggering, and event logging under scenarios such as wind turbine blade hoisting, photovoltaic high-altitude operations, and energy storage battery hoisting.

[0077] Ultimately, the test results, presented in the form of statistical reports and rectification records for non-conformities, serve as the basis for acceptance, ensuring that the system meets the actual requirements of new energy power construction projects for safety, reliability, and compliance. The acceptance process not only covers individual performance indicators but also encompasses the overall system's interconnectivity and stability under multiple operating conditions, guaranteeing stable operation of the system throughout the entire lifecycle of new energy power construction.

[0078] The beneficial effects of the technical solution provided by the embodiments of the present invention are as follows: This invention provides a GIS-based personnel positioning and fencing system for new energy construction. By introducing multi-source positioning fusion and GIS topology constraint mechanisms, it achieves continuity and high accuracy of personnel trajectories in complex construction environments. The system effectively avoids positioning drift and misjudgment at construction sites, ensuring positioning reliability in high-risk conditions such as wind turbine hoisting, photovoltaic module installation, and energy storage equipment transportation, laying the foundation for safe management of new energy power construction.

[0079] Secondly, this invention utilizes a permission-driven parametric fence design to dynamically generate safe zone boundaries by combining work permit status, construction machinery operating range, and environmental factors. This fence can be rapidly adjusted based on crane operations, the energized status of temporary high-voltage cables, and weather conditions, significantly improving safety adaptability during construction. Compared to traditional static fences, this system enables real-time response to construction risks, avoiding safety hazards caused by delayed or inappropriate fencing.

[0080] Finally, this invention introduces a probabilistic entry determination and local rapid linkage mechanism at the edge side, combined with closed-loop adjustment of cloud-based risk heatmaps. This not only improves the accuracy and timeliness of alarms but also ensures continuous operation in weak network or remote construction environments through network outage autonomy and unified time synchronization. Overall, this system achieves a high degree of integration of positioning and control in new energy power construction, significantly improving construction safety, management precision, and data reliability, and has high engineering application value and promising prospects for promotion.

[0081] In summary, the GIS-based personnel positioning and fencing system for new energy construction proposed in this invention addresses the actual needs of new energy power construction scenarios such as wind farms, photovoltaic power stations, and energy storage power stations, taking into account complex terrain, weak network environments, and high-risk operations. Through key technologies such as multi-source positioning fusion, GIS topology constraints, permission-driven parametric fencing, probabilistic entry determination and local linkage, risk heat map closed-loop adjustment, network outage autonomy, and unified time synchronization guarantee, it achieves high precision in personnel positioning, high continuity in trajectory control, and high reliability in safety fencing.

[0082] This system can operate independently even under weak or offline network conditions, and ensures data security and compliance through end-to-end encryption, anonymous identification, differential privacy, and hash chain notarization. Through rigorous key performance parameter settings and multi-scenario acceptance processes, the system effectively improves the safety and intelligent management level of new energy power construction, providing solid technical support for the smooth implementation and subsequent promotion of new energy projects.

[0083] The above are merely preferred 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 should be included within the protection scope of the present invention.

Claims

1. A GIS-based method for locating and fencing personnel in new energy construction, characterized in that, Includes the following steps: Acquire GNSS observations, UWB signal ranging values, and inertial measurement data, and generate initial positioning data; A unified spatiotemporal reference is established based on GNSS time synchronization and through a precise clock synchronization protocol, and accurate ranging reference data is generated. Based on GIS map data and by inputting preset work permit status, preset construction machinery operating parameters and preset environmental monitoring parameters, parameterized fence data is generated. Based on the precise ranging reference data, initial positioning data, and parameterized fence data, the initial positioning data is constrained and optimized using the geographic topology information in the GIS map data to obtain corrected personnel trajectory data. Based on the corrected personnel trajectory data and the parameterized fence data, a safety determination is made to achieve personnel positioning and fencing.

2. The method for locating and fencing personnel in new energy construction based on GIS according to claim 1, characterized in that, It also includes the following steps: Based on the corrected personnel trajectory data, and in conjunction with the preset work permit status and preset construction machinery operating parameters, risk analysis is performed to obtain risk heat map data. Based on the risk heat map data and the corrected personnel trajectory data, a risk distribution map of the construction area and corresponding control instructions are generated.

3. The method for locating and fencing personnel in new energy construction based on GIS according to claim 1, characterized in that, The GIS map data includes vector tiles and digital elevation models, and before generating the parameterized fence data, a topological consistency check is performed on the road, platform, and ladder elements in the GIS map data.

4. The GIS-based method for locating and fencing personnel in new energy construction, as described in claim 1, is characterized in that... The preset construction machinery operating parameters include: crane slewing angle, operating radius and lifting weight, and the preset environmental monitoring parameters include wind speed and cable current value.

5. A GIS-based method for locating and fencing personnel in new energy construction, as described in claim 1, is characterized in that... A safety assessment is performed based on the corrected personnel trajectory data and the parameterized fence data, specifically including: The parametric fence data includes risk level information, which includes: high risk level, medium risk level and general risk level; Based on parameterized fence data marked as high-risk, when the corrected personnel trajectory data corresponds to personnel with valid work permits, it is determined that entry is safe; Based on parameterized fence data labeled as medium risk level, when the corrected personnel trajectory data corresponds to personnel entering under supervision; Based on the parameterized fence data marked as low-risk, only the corrected personnel trajectory data is recorded.

6. A GIS-based method for locating and fencing personnel in new energy construction, as described in claim 5, is characterized in that... The probability of entering the high-risk, medium-risk, and low-risk areas in the parameterized fence data is calculated using the Gaussian convolution integral method. When the probability of entering a corresponding area is greater than the corresponding preset threshold, it is determined that the person has entered the corresponding area. The threshold for high-risk areas is 0.6, the threshold for medium-risk areas is 0.5, and the threshold for general-risk areas is 0.

4.

7. A GIS-based method for locating and fencing personnel in new energy construction, as described in claim 5, is characterized in that... A safety assessment is performed based on the corrected personnel trajectory data and the parameterized fence data, specifically including: When the security determination result is that the person has illegally entered the area corresponding to the high-risk level, an audible and visual alarm command is generated and issued, and a corresponding event record is generated at the same time.

8. A GIS-based method for locating and fencing personnel in new energy construction, as described in claim 5, is characterized in that... It also includes the following steps: If the risk level continues to rise based on the risk level information of the area shown in the risk heatmap data, then the safety buffer zone is expanded or the preset threshold is lowered.

9. A GIS-based personnel positioning and fencing system for new energy construction, characterized in that, include: The positioning terminal is used to acquire GNSS observations, UWB signal ranging values, and inertial measurement data, and to generate initial positioning data; UWB anchor arrays are used to establish a unified spatiotemporal reference based on GNSS timing and through a precision clock synchronization protocol, and to calculate and generate accurate ranging reference data. The GIS map service module is used to generate parameterized fence data based on GIS map data and by inputting preset work permit status, preset construction machinery operating parameters and preset environmental monitoring parameters. An edge gateway is used to optimize the initial positioning data by using the geographic topology information in the GIS map data based on the precise ranging reference data, initial positioning data, and parameterized fence data, to obtain corrected personnel trajectory data, and to complete a safety determination based on the corrected personnel trajectory data and the parameterized fence data, thereby realizing personnel positioning and fencing.

10. A GIS-based personnel positioning and fencing system for new energy construction according to claim 9, characterized in that, Also includes: The fusion and audit cloud service module is used to perform risk analysis based on several corrected personnel trajectory data, combined with the preset work permit status and preset construction machinery operating parameters, to obtain risk heat map data; The visual command terminal is used to generate a risk distribution map of the construction area and corresponding control instructions based on the risk heat map data and the corrected personnel trajectory data.

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