Installation method of debugging cooperation and alarm system of offshore booster station electrical system

Abstract

The application discloses a kind of offshore booster station electrical system debugging cooperation and installation method of alarm system, it is related to electrical system installation technical field, comprising: the electrical cable laying path parameters of the region to be installed in the cabin of offshore booster station and alarm detector installation point parameter acquisition;Based on the parameters obtained, the region overlap of electrical cable and alarm detector in three-dimensional installation space and safety interval distance are analyzed statically, and the structural deformation simulation data of the overall structure of offshore booster station under the action of preset wind wave load and temperature cycle load are obtained, the interval distance change of electrical cable and alarm detector under dynamic environment is analyzed dynamically in combination with the deformation simulation data, and the spatial installation conflict analysis parameter is obtained.The application solves the problems of space interference rework, terminal corrosion and false alarm in offshore environment through dynamic conflict analysis, environmental adaptation parameter effectiveness verification and cause-effect analysis debugging.

Description

Technical Field

[0001] This invention relates to the field of electrical system installation technology, and more specifically, to an installation method for the commissioning and alarm system of an offshore substation electrical system. Background Technology

[0002] As the core hub for offshore wind power grid connection, the offshore booster station undertakes the key functions of power collection, voltage boosting and long-distance transmission. Its cabin integrates a large number of high-voltage electrical equipment, control modules and safety monitoring systems. Among them, the alarm system, as the "sensory nerve" to ensure the safe operation of the equipment, is directly related to the operational reliability and maintenance safety of the booster station.

[0003] Compared to onshore substations, offshore booster stations face unique operating conditions, including extremely compact cabin space, high equipment density, and the dynamic effects of high humidity, high salt spray, and wind and wave loads at sea. These conditions place far more stringent demands on the installation accuracy, environmental adaptability, and commissioning efficiency of alarm systems than onshore scenarios. Currently, the industry commonly adopts the traditional "construction first, adjustment later" installation model, which involves laying electrical cables first and then locating and installing alarm detectors. While this model is mature in open onshore environments, it is gradually revealing its insufficient adaptability in the special environment of offshore booster stations.

[0004] The existing installation technology for alarm systems at offshore substations has the following problems:

[0005] First, spatial conflicts are a prominent issue. Traditional installation relies on on-site measurement and positioning by construction personnel, lacking three-dimensional spatial coordination analysis of cable laying paths and detector installation points. In addition, the dense presence of obstacles such as load-bearing beams and pre-buried pipelines in the cabin makes it easy for cables and detectors to overlap and for safety gaps to be insufficient, leading to a higher rate of rework and reinstallation and significantly extending the installation cycle.

[0006] Secondly, it has poor environmental adaptability. The high humidity and high salinity environment at sea accelerates the corrosion and aging of the wiring terminals of the alarm detectors. However, the protection level of the sealing structure in the existing technology is mostly based on experience and has not been accurately adapted to the periodic temperature and humidity fluctuation data inside the cabin. This results in a high false alarm rate caused by terminal corrosion, which affects the reliability of the system.

[0007] Third, there is a disconnect between commissioning and installation. Existing technologies lack a collaborative mechanism between the installation process and the commissioning phase. The installation phase does not consider the impact of structural deformation under dynamic loads and the feasibility of construction. The commissioning phase can only passively handle abnormal alarm signals, making it difficult to accurately trace potential problems such as spatial interference and shielding failures buried during the installation phase, which increases the cost of later operation and maintenance. Summary of the Invention

[0008] To address the aforementioned problems, this invention provides a method for commissioning and coordinating the electrical system and installing the alarm system of an offshore substation.

[0009] This invention provides a method for commissioning and coordinating the electrical system and installing the alarm system of an offshore substation, including: collecting electrical cable laying path parameters and alarm detector installation point parameters in the area to be installed inside the offshore substation cabin;

[0010] Based on the obtained parameters, a static conflict analysis was conducted on the regional overlap and safe spacing distance of electrical cables and alarm detectors in the three-dimensional installation space. Based on the structural deformation of the overall structure of the offshore substation under dynamic load, a dynamic conflict analysis was conducted on the spacing distance change of electrical cables and alarm detectors in the dynamic environment, and spatial installation conflict analysis parameters were obtained.

[0011] Collect periodic temperature and humidity fluctuation data inside the cabin, analyze the validity of the temperature and humidity fluctuation data, and use the valid temperature and humidity fluctuation data as environmental adaptation parameters.

[0012] Based on the spatial installation conflict analysis parameters and environmental adaptation parameters, the final installation sequence is determined;

[0013] According to the final installation sequence, a terminal receiving structure with integrated moisture-proof sealing components is pre-installed at the wiring terminal position corresponding to the alarm detector; wherein, the sealing protection level of the terminal receiving structure is set according to the humidity fluctuation peak value in the environmental adaptation parameters;

[0014] After all electrical cable laying is completed, the alarm detector is fixed in place, and its terminals are embedded into the terminal receiving structure to complete the sealed assembly.

[0015] During the joint system debugging phase, the alarm signals were analyzed based on causal relationships.

[0016] Preferably, the dynamic conflict analysis includes:

[0017] Obtain structural deformation simulation data of the overall structure of the offshore substation under preset wind and wave loads and temperature cyclic loads;

[0018] The electrical cable laying path parameters and alarm detector installation point parameters are imported into the deformation simulation data to calculate the maximum change in the distance between the cable bundle and the alarm detector under dynamic conditions.

[0019] If the maximum change exceeds the preset dynamic safety threshold, a dynamic spatial conflict is determined, and the installation location of the alarm detector or the laying direction of the cable bundle is adjusted accordingly to eliminate the risk of interference in the dynamic environment.

[0020] Preferably, the step of adjusting the installation location of the alarm detector or the routing of the cable bundle also includes verifying the feasibility of the adjusted plan:

[0021] Obtain the distribution of structural obstacles and construction accessibility parameters on the critical path in the adjusted scheme;

[0022] By analyzing the operating space of construction workers of different body types under candidate paths through spatial simulation, when the operating space of a certain path is lower than the minimum space standard required for safe operation, it is automatically marked as a restricted path.

[0023] The installation procedures for the restricted paths should be rearranged, and modular pre-assembly or specialized installation tools should be prioritized to solve the space constraint problem.

[0024] Preferably, the validity of the analyzed temperature and humidity fluctuation data includes:

[0025] Analyze the curves of temperature and humidity sensor readings changing over time at different locations;

[0026] The change curve is compared with the operation records of electrical equipment near the corresponding location;

[0027] If the fluctuation of a sensor's data curve lacks correlation with the equipment's operating status, and the humidity value it records is consistently higher than the theoretical minimum humidity inside the cabin calculated from external meteorological data and the dehumidification capacity of the air conditioning system, then the sensor data is deemed invalid and will not be used as the primary basis for determining the sealing protection level.

[0028] Preferably, determining the final installation order includes:

[0029] Identify areas with potential conflicts and obtain the estimated construction time for laying electrical cables and installing alarm detectors in those areas;

[0030] The construction duration is combined with environmental adaptation parameters within the current construction window for analysis.

[0031] If the environmental adaptation parameters of a high-risk conflict area indicate that it is about to enter a high humidity period, and the electrical construction time in the area is expected to last through this period, then the decision outputs an adjustment instruction: to advance the pre-installation of the alarm detector terminal housing structure before the electrical cable laying, and to allocate an independent moisture-proof protection device for the pre-installation work.

[0032] Preferably, the pre-installed terminal receiving structure with integrated moisture-proof sealing components includes:

[0033] Based on the final determined installation sequence and locations, installation guidance data containing the center coordinates and orientation information of the terminal receiving structure is generated;

[0034] Using augmented reality devices to project the installation guidance data, the pre-installation position and installation direction of the terminal receiving structure are marked in the physical space of the area to be installed;

[0035] Based on the augmented reality annotations, the construction personnel perform the positioning and fixing operations of the terminal receiving structure, and use the equipment to check in real time whether the installation position is accurate.

[0036] Preferably, the terminal receiving structure of the pre-installed integrated moisture-proof sealing assembly is as follows:

[0037] A sealed socket with a quick-connect interface, which contains a miniature pressure sensor that communicates with a debugging system.

[0038] The wiring terminals of the alarm detector are integrated into a matching sealed plug;

[0039] When the sealing plug is inserted into the sealing socket, the miniature pressure sensor detects the change in air pressure in the internal cavity, and when the air pressure value stabilizes above the sealing threshold, it sends a signal to the debugging system that the sealing assembly is successful, and at the same time completes the electrical connection.

[0040] Preferably, the causal analysis of the alarm signal includes:

[0041] When the alarm detector triggers a signal, the real-time airflow velocity data of the ventilation area where the detector is located is immediately obtained, and the bus communication quality index of the alarm circuit to which the detector belongs is checked.

[0042] Analyze whether the fluctuation characteristics of the alarm signal are related to the rapid changes in airflow speed, and check whether there is a brief increase in the bit error rate of bus communication at the time of signal triggering.

[0043] If the signal fluctuations and airflow changes are highly synchronized in time, it is inferred that the alarm source may be suspended particulate matter carried by the wind, and the system will automatically increase the airflow speed setting in the area to disperse it.

[0044] If signal triggering and bus communication quality degradation occur simultaneously, it is inferred to be line interference, and the system initiates a shielding check procedure for the conductors in that loop.

[0045] Preferably, after initiating the shielding check procedure, the method also includes locating the interference source based on electromagnetic environment analysis:

[0046] The electrical characteristics of the alarm circuit wires were collected at different frequency bands, and an electromagnetic environment simulation model was established by combining the multipath reflection effect of the cabin's metal structure on electromagnetic signals.

[0047] When the alarm signal is triggered, the instantaneous electromagnetic field strength at each detection point in the circuit is recorded synchronously, and the recorded field strength data is compared and analyzed with the electromagnetic environment simulation model.

[0048] When the calculated location of the interference source differs significantly from the expected interference range of the known high-power frequency converter, it is determined that there is a hidden grounding fault or damage to the shielding layer, and a special maintenance plan containing the specific detection location and recommended maintenance procedures is generated.

[0049] Preferably, before the alarm system is put into operation, the method further includes setting an alarm threshold based on system status analysis:

[0050] During normal operation without fire alarms, continuously record the basic readings fed back by each alarm detector, the current values ​​of major electrical equipment, and the air supply temperature of the air conditioning system;

[0051] Analyze the relationship between changes in electrical equipment current and changes in detector base readings; if the change in a detector's base reading differs significantly from the expected thermal impact calculated based on changes in the current of its neighboring equipment, then it is determined that the detector itself or its microenvironment is abnormal.

[0052] For detectors that are identified as abnormal, before they are officially put into monitoring, a temporary compensation value calculated based on the relationship between the readings of nearby normal detectors and the device current is used to calibrate their alarm threshold, and the detector is marked in the system log as needing to be checked during regular maintenance.

[0053] Beneficial effects:

[0054] This invention first performs static and dynamic conflict analysis to accurately predict and avoid spatial interference; then, it combines environmental adaptability parameter effectiveness analysis to set a precise sealing protection level, and uses augmented reality to assist in the pre-installation of a sealing structure with pressure detection; finally, it improves operational accuracy through causal analysis debugging and system state threshold calibration. Furthermore, this system solves key pain points in traditional installations, such as conflict rework caused by inaccurate parameters, easy corrosion and failure of terminals in high-humidity marine environments, and difficulty in troubleshooting false alarms during the commissioning phase. Attached Figure Description

[0055] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0056] The present invention will be further described below with reference to the accompanying drawings and embodiments. The scope of protection of the present invention is defined by the claims.

[0057] like Figure 1 The following is a method for commissioning and coordinating the electrical system and installing the alarm system of an offshore substation, which mainly includes the following steps:

[0058] Collect electrical cable laying path parameters and alarm detector installation point parameters for the area to be installed inside the offshore substation cabin; among them, the electrical cable laying path parameters include cable bundle specifications, laying direction and fixed structure distribution information, and the alarm detector installation point parameters include detector external dimensions, installation and fixing points and terminal block layout direction.

[0059] In this embodiment, the electrical cable laying path parameters refer to the set of information characterizing the key state of cable installation. The cable bundle specifications include wire diameter, number of strands and insulation material. The laying direction is the path trajectory of the cable from the starting point to the end point. The fixed structure distribution information refers to the position and spacing of fasteners such as brackets and clamps.

[0060] The installation point parameters of the alarm detector are core information for determining the detector's installation status. External dimensions include the detector's length, width, and height. Installation and fixing points refer to the drilled locations on the wall or ceiling. The terminal block orientation refers to the direction the terminal block faces. Data collection can be achieved by measuring dimensions with a laser rangefinder, capturing scene images with a high-definition camera, and reconstructing the path using CAD drawings. This ensures parameter accuracy, avoids subsequent conflicts due to parameter errors, and reduces rework costs.

[0061] Based on the acquired parameters, a static conflict analysis was conducted on the regional overlap and safety interval distance between electrical cables and alarm detectors in the three-dimensional installation space.

[0062] Subsequently, structural deformation simulation data of the overall structure of the offshore substation under preset wind and wave loads and temperature cyclic loads were obtained; the electrical cable laying path parameters and alarm detector installation point parameters were imported into the deformation simulation data, and the maximum change in the distance between the cable bundle and the alarm detector under dynamic conditions was calculated; if the maximum change exceeds the preset dynamic safety threshold, it is determined that there is a dynamic spatial conflict.

[0063] Based on the combined results of static and dynamic conflict analysis, the final spatial installation conflict analysis parameters are obtained. If dynamic spatial conflicts are determined to exist, the installation locations of the alarm detectors or the routing of the cable bundles are adjusted accordingly to eliminate the risk of interference in dynamic environments.

[0064] In this embodiment, the three-dimensional installation space refers to the three-dimensional space range of the area to be installed. A three-dimensional coordinate system is established with a certain point on the cabin floor as the origin to accurately locate the spatial position of each component.

[0065] Area overlap refers to whether the cable and the detector partially or completely overlap in three-dimensional space; the safe distance refers to the minimum distance between the two to avoid electromagnetic interference and facilitate maintenance. The safe distance between electrical cables and alarm detectors is usually not less than 0.3 meters.

[0066] Spatial installation conflict analysis parameters are result data reflecting whether there is a conflict and the degree of conflict, including values ​​such as the volume of overlapping areas and insufficient safety distances.

[0067] Furthermore, the analysis can be achieved through simulation installation using 3D modeling software such as SolidWorks, which can intuitively present the conflict situation and provide a reliable basis for subsequent adjustments. This visualization analysis method can identify potential conflicts in advance, avoid rework caused by blind construction, and improve the scientific nature of installation planning.

[0068] In this step, to fully avoid installation conflicts in dynamic environments, the following key parameters need to be obtained and calculated:

[0069] Among them, the preset wind and wave load refers to the simulated load set according to the historical meteorological data of the sea area where the offshore substation is located, such as selecting the wind pressure load corresponding to the maximum wind speed that occurs once every 50 years and the wave force load corresponding to the maximum wave height in the sea area.

[0070] Temperature cyclic load refers to the temperature change load that simulates the cabin under the influence of diurnal temperature difference, seasonal changes and heat generated by equipment operation. The cyclic range is usually set from -20℃ to 60℃.

[0071] Structural deformation simulation data refers to the deformation data of the installation carrier such as the cabin walls and roof under the above-mentioned loads, simulated by structural mechanics analysis software such as Ansys and Abaqus. The data includes information such as deformation location, deformation amplitude and deformation direction.

[0072] The dynamic safety threshold refers to the minimum distance between the cable and the detector that can still maintain safe operation after considering structural deformation. It is usually increased by 1.2 times the maximum structural deformation based on the static safety distance (this coefficient is obtained by fitting 10 sets of dynamic deformation experimental data of offshore substations to ensure coverage of extreme deformation scenarios). For example, when the static safety distance is 0.3 meters and the maximum structural deformation is 0.05 meters, the dynamic safety threshold is set to 0.36 meters.

[0073] The calculation of the maximum change in the interval distance is achieved by importing the spatial coordinates of the cable and the detector into deformation simulation data, simulating the change in their relative positions under different load conditions, and extracting the maximum interval difference during the change process.

[0074] If a dynamic spatial conflict is determined to exist, the fixed installation point of the alarm detector can be adjusted to be near the cabin column with less deformation, or an elastic compensation section can be added to the cable laying path to absorb the impact of deformation. This dynamic conflict analysis and adjustment method can avoid equipment interference problems caused by structural deformation of the offshore substation under dynamic environments such as wind, waves and temperature changes in advance, and avoid cable damage or detector failure due to deformation during later operation, thereby improving the stability and safety of system operation.

[0075] The process of adjusting the installation locations of alarm detectors or the routing of cable bundles also includes verifying the feasibility of the adjusted plan:

[0076] Obtain the distribution of structural obstacles and construction accessibility parameters on the critical path in the adjusted scheme;

[0077] By analyzing the operating space of construction workers of different body types under candidate paths through spatial simulation, when the operating space of a certain path is lower than the minimum space standard required for safe operation, it is automatically marked as a restricted path.

[0078] The installation procedures for the restricted paths should be rearranged, and modular pre-assembly or specialized installation tools should be prioritized to solve the space constraint problem.

[0079] In this embodiment, the critical path refers to the core construction path in the adjusted plan that plays a decisive role in the overall installation progress, such as the main laying path where multiple cables intersect, or the dense area path where multiple detectors are concentrated for installation.

[0080] Structural obstacle distribution refers to information on fixed structural obstacles on the critical path, such as the location and size data of cabin load-bearing beams, equipment foundation supports, and embedded pipelines, which can be obtained through 3D scanning or by consulting cabin structural design drawings.

[0081] Construction accessibility parameters are indicators that measure whether construction personnel can smoothly reach the work site and carry out operations. These include the distance between the work site and the access road, the width of the access road, the vertical working height, and the presence of obstructions. A quantitative assessment is used on a scale of 0-10 (the scoring standard refers to the "Safety Code for Offshore Oil Engineering Construction" SY / T4108-2023). A score ≥7 indicates high accessibility, and ≤4 indicates low accessibility. Body type parameters for construction personnel of different body types are based on industry standard GB / T10000-1988, using body type data from the 5th percentile of females (height 150cm, shoulder width 40cm) to the 95th percentile of males (height 185cm, shoulder width 55cm) for modeling.

[0082] The operating space refers to the minimum three-dimensional space required for construction personnel to carry out installation operations, including space for physical activity and space for tool operation. The minimum safe operating space standard is set according to the "Safety Specification for Offshore Oil Engineering Construction" SY / T4108-2023. For example, the space required for hand screw tightening is ≥0.4m×0.4m×0.3m (length×width×height).

[0083] Spatial simulation analysis is achieved through construction simulation software such as Navisworks. The construction personnel model is superimposed on the 3D model of the adjusted plan to simulate the installation operation process and automatically calculate the size of the operating space. This simulation verification method can detect space constraints in advance and avoid inefficiency or safety hazards caused by insufficient operating space during construction.

[0084] Modular pre-assembly refers to assembling cable bundles and fixed brackets into modular units at a prefabrication site outside the cabin, and then hoisting the whole unit to the installation position inside the cabin, reducing assembly operations in the confined space inside the cabin; special installation tools include flexible extended wrenches, mini electric screwdrivers, and visual guide tools with cameras, which are suitable for operation in confined spaces.

[0085] The innovation of this invention lies in the fact that this feasibility verification and optimization method can take into account both construction safety and efficiency, and is especially suitable for the complex environment of the small cabin and many obstacles in the offshore substation, further improving the feasibility of the installation plan, and forming a dual guarantee of dynamic operation and construction implementation with dynamic conflict adjustment.

[0086] Based on spatial installation conflict analysis parameters, areas requiring adjustments to the installation sequence were identified. Simultaneously, periodic temperature and humidity fluctuation data within the cabin were independently collected as environmental adaptation parameters.

[0087] In this embodiment, the installation specifications refer to the industry standards or design requirements related to the electrical installation of offshore substations;

[0088] Environmental adaptation parameters are key data used to adapt to special marine environments. Periodic temperature and humidity fluctuation data refers to the cabin temperature and humidity change data collected on a 24-hour cycle, including the highest value, lowest value and fluctuation duration.

[0089] Data collection can be achieved by deploying industrial-grade salt spray resistant temperature and humidity sensors at different locations in the installation area, collecting data every hour for 7 consecutive days to obtain complete cycle data. Adjusting the installation sequence can avoid conflicts, and collecting environmental adaptation parameters provides a basis for subsequent sealing protection level setting, improving the system's environmental adaptability.

[0090] The step of collecting periodic temperature and humidity fluctuation data inside the cabin as environmental adaptation parameters also includes analyzing the effectiveness of these parameters.

[0091] Analyze the curves of temperature and humidity sensor readings changing over time at different locations;

[0092] Compare the change curve with the operation records of electrical equipment near the corresponding location to check whether the temperature peak corresponds to the high load operation period of the equipment;

[0093] If the fluctuation of a sensor's data curve lacks correlation with the equipment's operating status, and the humidity value it records is consistently higher than the theoretical minimum humidity inside the cabin calculated from external meteorological data and the dehumidification capacity of the air conditioning system, then it is determined that the microenvironment in which the sensor is located is not representative or that it has measurement bias. Its data will be marked as reference data and will not be used as the main basis for determining the sealing protection level.

[0094] In this embodiment, the temperature and humidity change curve refers to a trend curve plotted with time as the horizontal axis and sensor readings as the vertical axis. It can be generated by data processing software such as Excel and Origin, and can intuitively present the periodic fluctuation pattern of temperature and humidity. The electrical equipment operation record contains information such as equipment start-up and shutdown time, operating power, and load rate, which can be exported from the monitoring system of the offshore substation.

[0095] The theoretical minimum humidity inside the cabin is calculated by combining the humidity value from the external meteorological data with the rated dehumidification capacity of the air conditioning system, the cabin volume, and the air circulation rate. For example, if a sensor is placed near a high-power frequency converter, and the peak of its temperature change curve corresponds exactly to the high-load operation period of the frequency converter (such as from 12 noon to 2 pm), then the sensor data is valid.

[0096] If a sensor located directly below an air conditioning vent consistently displays a humidity level lower than sensors at other locations, and shows no clear correlation with external weather data or air conditioning operation, while consistently exceeding the theoretical minimum humidity, then the microenvironment (the area directly exposed to the air conditioning) of that sensor is deemed unrepresentative, and its data is marked as reference data. Through parameter validity analysis, abnormal data can be eliminated, ensuring that the environmental adaptation parameters used to set the sealing protection level are accurate and reliable. This avoids inappropriate protection level settings due to data deviations and improves the environmental adaptation accuracy of the alarm system after installation.

[0097] After obtaining the spatial installation conflict analysis parameters, the process further includes decision analysis on the installation sequence, specifically: identifying areas with potential conflicts and obtaining the estimated construction time for laying electrical cables and the estimated construction time for installing alarm detectors in those areas.

[0098] The construction duration is analyzed in conjunction with the environmental adaptation parameters within the current construction window. If the environmental adaptation parameters of a high-risk conflict area indicate that it is about to enter a high humidity period, and the electrical construction duration in this area is expected to run through this period, the commissioning system outputs an adjustment instruction: the pre-installation of the alarm detector terminal housing structure is carried out in advance before the laying of electrical cables, and an independent moisture-proof protection device is assigned to the pre-installation work to avoid the impact of high humidity environment on the curing of sealing components.

[0099] Among them, the potential conflict area refers to the installation area where the spatial installation conflict analysis parameters show that the safety interval distance is insufficient or there is a risk of dynamic conflict. The spatial coordinate range of the area can be marked by 3D modeling software for identification.

[0100] High-risk conflict areas refer to areas in potential conflict zones that simultaneously meet the conditions of high density of cables and detectors, limited space for construction operations, and great difficulty in rework, such as corners of cabins and near equipment cabinets where multiple types of cables converge.

[0101] Construction duration refers to the estimated completion time based on the skill level of construction personnel, the size of the work area, and the number of equipment. Electrical cable laying duration needs to consider procedures such as cable pulling, fixing, and insulation testing. Alarm detector installation duration includes base fixing, wiring, and debugging, and is usually determined by combining construction progress quota standards with project experience. The construction window period refers to the time during which construction conditions are met for offshore substations, and needs to be determined based on marine weather forecasts (such as avoiding typhoon and heavy rain periods), equipment delivery status, and personnel deployment plans.

[0102] The high humidity period in the environmental adaptation parameters refers to the period when the humidity inside the cabin is continuously higher than 80%RH for more than 24 hours, which can be predicted by periodic temperature and humidity fluctuation data.

[0103] The debugging system refers to a control module with data integration and instruction output functions. It is implemented using an industrial-grade PLC controller combined with WinCC configuration software. The core analysis logic is a weighted scoring method, with construction time weighted at 0.4 and humidity influence weighted at 0.6. An adjustment instruction is triggered when the comprehensive score is ≥8.

[0104] Independent moisture protection devices refer to equipment used for temporary moisture protection during pre-installation work, such as portable dehumidifiers, sealed work tents, or temporary shields with moisture-proof coatings, to ensure that the humidity in the pre-installation work area is controlled below 60%RH.

[0105] Sealing component curing refers to the process by which the moisture-proof sealant or sealing ring in the terminal housing structure reaches its designed sealing performance. High humidity environments can slow down the curing speed of the sealant and reduce its sealing performance after curing. This sequential decision-making method, which combines construction time and environmental adaptability parameters, can accurately avoid the impact of harsh environments on key construction stages. Pre-installation and moisture-proof measures can ensure the curing quality of sealing components and avoid terminal corrosion problems caused by poor sealing later. At the same time, optimizing the construction sequence can reduce interference from cross-operations and improve construction efficiency. For example, if the laying of electrical cables in a high-risk conflict area is expected to take 48 hours, and the environmental adaptability parameters predict that the next 72 hours will enter a high-humidity period, the commissioning system will output adjustment instructions to first complete the pre-installation of the terminal housing structure in a temporary moisture-proof tent. After the cable laying is completed, the detector will be assembled directly to avoid poor curing of the sealing components in a high-humidity environment.

[0106] Based on the spatial installation conflict analysis parameters and environmental adaptation parameters, the final installation sequence is determined, and a terminal receiving structure with integrated moisture-proof sealing components is pre-installed at the wiring terminal position corresponding to the alarm detector; wherein, the sealing protection level of the terminal receiving structure is set according to the humidity fluctuation peak value in the environmental adaptation parameters.

[0107] Specifically, the final installation sequence refers to the order of installation that takes into account both conflict-free and convenient construction. If the cable and the detector conflict, the cable can be laid first and then the detector can be installed, or the cable route can be adjusted and then the detector can be installed simultaneously.

[0108] The terminal housing structure is a sealed component that protects the wiring terminals, including a housing and a moisture-proof sealing assembly. The sealing protection rating is an indicator of the sealing capability against environmental influences; the higher the peak humidity fluctuation, the higher the rating. For example, IP67 rating is selected for peak humidity above 85% RH, and IP65 rating is selected for 60%–85% RH. Pre-installing the terminal housing structure provides moisture protection in advance, preventing terminals from getting damp during subsequent installation and extending the lifespan of the alarm system.

[0109] A pre-installed terminal housing structure with integrated moisture-proof sealing components is achieved with the assistance of augmented reality technology, specifically as follows:

[0110] Based on the final determined installation sequence and locations, installation guidance data containing the center coordinates and orientation information of the terminal receiving structure is generated. This installation guidance data refers to the spatial data used for precise positioning of the terminal receiving structure. The center coordinates are the reference point coordinates of the receiving structure in the three-dimensional installation space, coinciding with the center position of the alarm detector's wiring terminals. The orientation information is the installation orientation of the receiving structure (e.g., the terminal block orientation is consistent with the cable laying direction), which can be exported from the final installation design model using CAD software.

[0111] The installation guidance data is projected using augmented reality (AR) devices. AR devices are devices with spatial positioning and virtual information projection capabilities, such as industrial-grade AR headsets or handheld AR terminals, which support the real-time overlay of digital guidance data onto the physical environment.

[0112] Furthermore, in actual operation, the augmented reality device first completes spatial calibration through the preset positioning marks (such as QR code positioning points) in the cabin to ensure that the error between the projected markings and the physical space is ≤2 mm; then it projects the virtual outline of the housing structure and the installation baseline to clarify the pre-installation position and installation direction.

[0113] Based on the augmented reality markings, the construction personnel perform the positioning and fixing operations of the terminal receiving structure, and use the equipment to check the accuracy of the installation position in real time: after the construction personnel drill holes and fix the receiving structure base according to the virtual markings, the equipment takes pictures of the installation scene through the built-in camera and compares them with the guide data in real time. If the position deviation exceeds 5 mm, an audio and visual prompt will be issued until it is adjusted to meet the requirements.

[0114] The innovation of this invention lies in solving the error problem of traditional measurement and positioning using a measuring tape, improving the positioning accuracy to the millimeter level. At the same time, the real-time inspection function can correct installation deviations in a timely manner, reduce rework in the later stages, adapt to the installation requirements of complex cabin spaces, and greatly improve pre-installation efficiency and accuracy.

[0115] The terminal receiving structure of the pre-installed integrated moisture-proof sealing assembly is specifically as follows: a sealing socket with a quick-connect interface, which contains a miniature pressure sensor that communicates with the debugging system; the wiring terminals of the alarm detector are integrated into a matching sealing plug; when the sealing plug is inserted into the sealing socket, the miniature pressure sensor detects the air pressure change in the internal cavity, and when the air pressure value stabilizes above the sealing threshold, it sends a signal to the debugging system that the sealing assembly is successful; at the same time, the electrical connection is completed through this insertion action.

[0116] Specifically, the sealed socket is the core carrier of the terminal housing structure. It uses a 304 stainless steel shell with a fluororubber sealing ring. The quick-connect interface is a snap-fit ​​structure. After insertion, it can be initially fixed by mechanical snap-fit ​​to prevent accidental dislodgement.

[0117] The miniature pressure sensor is a high-precision MEMS pressure sensor with a range of 0-100 kPa and a measurement accuracy of ±0.5 kPa. It establishes communication with the electrical commissioning system of the offshore substation through a shielded cable to transmit air pressure data in real time.

[0118] The sealed plug and alarm detector wiring terminals are integrally injection molded. The plug shell has a sealing groove that matches the socket, and the built-in conductive terminals are gold-plated to improve the reliability of electrical connection and resistance to salt spray corrosion.

[0119] The sealing threshold refers to the minimum air pressure value that ensures the cavity reaches the designed sealing protection level. It is set according to the protection level of the sealing socket. For example, the sealing threshold corresponding to IP67 level is 50kPa, and the sealing threshold corresponding to IP65 level is 30kPa. This threshold can be configured by the debugging system.

[0120] When the sealed plug is inserted into the sealed socket, the sealing ring of the plug and the socket forms a sealed cavity. During the insertion process, the air pressure in the cavity gradually increases, and the miniature pressure sensor continuously collects air pressure data and transmits it to the debugging system.

[0121] When the air pressure value stabilizes above the sealing threshold and remains stable for 5 seconds without fluctuation, the debugging system determines that the sealing assembly is successful, issues an audible and visual prompt, and at the same time, the conductive terminals are fully in contact to achieve electrical connection.

[0122] If the air pressure does not reach the threshold, the commissioning system will issue an alarm and display the air pressure value, prompting the construction personnel to check whether the plug is inserted properly or whether the sealing ring is damaged.

[0123] This quick-connect structure with pressure detection enables simultaneous sealing and electrical connection. The air pressure detection function can verify the sealing effect in real time, avoiding the hidden danger of undetected poor sealing in traditional assembly. The gold-plated conductive terminals and stainless steel shell can improve the resistance to salt spray corrosion, further adapting to the harsh marine environment and ensuring dual reliability of sealing and electrical connection.

[0124] After all electrical cable laying is completed, the alarm detector is fixed in place, and its sealed plug with integrated wiring terminals is inserted into the pre-installed terminal receiving structure (i.e., sealed socket) to complete the sealing assembly and electrical connection.

[0125] In this embodiment, the alarm detector is fixed by fixing the detector base to a preset point with expansion screws to ensure a firm fixation and resist the impact of cabin vibration; the sealing assembly refers to inserting the wiring terminal into the receiving structure and tightening the outer shell bolts to make the moisture-proof sealing component fit tightly against the terminal block to achieve a seal.

[0126] Installing the detector after the cable laying is completed can prevent damage to the detector from collisions during cable installation. The sealed assembly can effectively isolate moisture and salt spray, reduce the risk of terminal corrosion, reduce false alarms, and improve system reliability.

[0127] During the system joint debugging phase, the processing of alarm signals includes causal relationship-based analysis methods, and the specific operations are as follows:

[0128] When the alarm detector triggers a signal, the real-time airflow velocity data of the ventilation area where the detector is located is immediately obtained, and the bus communication quality index of the alarm circuit to which the detector belongs is checked.

[0129] Analyze whether the fluctuation characteristics of the alarm signal are related to the rapid changes in airflow speed, and check whether there is a brief increase in the bit error rate of bus communication at the time of signal triggering.

[0130] If the signal fluctuations and airflow changes are highly synchronized in time, it is inferred that the alarm source may be suspended particulate matter carried by the wind. The system will automatically increase the airflow speed setting in the area to disperse the particulate matter and observe the changes in the alarm status.

[0131] If signal triggering and bus communication quality degradation occur simultaneously, it is inferred to be line interference, and the system initiates a shielding check procedure for the conductors in that loop.

[0132] Among them, the ventilation area refers to the independent space area covered by the ventilation system of the offshore substation where the alarm detector is located, such as the ventilation zone of the equipment room divided according to the function of the cabin, the area covered by the cable communication ventilation subsystem, etc.; real-time airflow velocity data is collected by a hot-wire anemometer arranged within 0.5 meters around the detector, with a range of 0-10m / s and a sampling frequency of 10Hz, to ensure that instantaneous changes in airflow are captured.

[0133] The main bus communication quality indicators of the alarm circuit include bit error rate, signal attenuation value and communication delay. The bit error rate is obtained by statistically analyzing the proportion of erroneous data frames transmitted on the bus per unit time through the debugging system. The signal attenuation value is measured by measuring the difference in signal strength between the two ends of the circuit using a dedicated communication tester. The communication delay is the time difference between data transmission from the detector to the controller.

[0134] The fluctuation characteristics of an alarm signal refer to the amplitude change pattern after the signal is triggered. For example, the signal triggered by suspended particulate matter usually exhibits pulse-like fluctuations, with the amplitude fluctuating with the airflow.

[0135] Signals caused by line interference are often accompanied by superimposed noise, and their amplitude drops rapidly after abrupt changes. High temporal synchronization means that the time difference between the alarm signal trigger moment and the moment of a sudden change in airflow speed is ≤0.5 seconds, which can be achieved by adjusting the system's timestamp function for data synchronization and comparison.

[0136] The airflow velocity setting is increased by 1.2-1.5 times the original value, for example, from 2 m / s to 2.4-3 m / s. Simultaneously, a smooth adjustment is achieved through the frequency converter of the ventilation system to avoid sudden airflow changes that could cause new interference. This invention, through its causal-based alarm signal analysis method, can accurately distinguish between real fire alarms and false alarms. It automatically adjusts the airflow speed to disperse suspended particulate matter interference, reducing human error and intervention costs. For line interference, it initiates shielding checks, quickly locating the fault source, improving debugging and maintenance efficiency, and ensuring the accuracy of the alarm system.

[0137] After initiating the shielding check procedure, an interference source localization method based on electromagnetic environment analysis is also included:

[0138] The electrical characteristics of the alarm circuit wires were collected at different frequency bands, and an electromagnetic environment simulation model was established by combining the multipath reflection effect of the cabin's metal structure on electromagnetic signals.

[0139] When the alarm signal is triggered, the instantaneous electromagnetic field strength at each detection point in the circuit is recorded synchronously, and the recorded field strength data is compared and analyzed with the electromagnetic environment simulation model.

[0140] When the calculated location of the interference source differs significantly from the expected interference range of the known high-power frequency converter, it is determined that there is a hidden grounding fault or damage to the shielding layer, and a special maintenance plan containing the specific detection location and recommended maintenance procedures is generated.

[0141] In this embodiment, the electrical characteristic data of different frequency bands refers to parameters such as impedance, attenuation constant and propagation constant of the alarm circuit wire in the 1kHz-1GHz frequency band. These parameters are collected in segments by a vector network analyzer, with each 10MHz band serving as a frequency band, to ensure coverage of common interference signal frequency bands on offshore platforms.

[0142] The metal structure of the cabin includes bulkheads, equipment frames, metal pipes, etc. Multipath reflection effect refers to the signal distortion phenomenon formed by the superposition of electromagnetic signals with direct signals after multiple reflections on the surface of the metal structure. When modeling, it is necessary to obtain the precise size and position information of the metal structure through 3D scanning.

[0143] The electromagnetic environment simulation model is a cabin electromagnetic scene model built using CSTMicrowaveStudio electromagnetic simulation software. It integrates wire electrical characteristic data, metal structure reflection parameters, and radiation characteristic models of known interference sources (such as high-power frequency converters and motor controllers), and can simulate the electromagnetic field distribution patterns of different interference sources in the cabin.

[0144] The detection point refers to the electromagnetic field acquisition point arranged every 1.5 meters along the alarm circuit. The instantaneous field strength data is collected using a portable electromagnetic field tester with a sampling frequency of 100Hz, which is precisely synchronized with the timestamp of the alarm signal triggering time.

[0145] The expected interference range of a high-power frequency converter is the interference coverage area calculated based on the rated power, operating frequency and radiated emission limits of the equipment. For example, the expected interference radius of a 100kW frequency converter at a 50Hz operating frequency is usually 5 meters (calculated according to GB / T17626.3-2016 electromagnetic compatibility test standard).

[0146] Significant difference refers to the calculated distance between the interference source location and the expected interference range being ≥3 meters. The interference source coordinates are calculated using a model inversion algorithm and compared with the expected range to determine the difference.

[0147] The specific maintenance plan should clearly mark the test point number and the three-dimensional coordinates of the suspected fault area. The recommended maintenance process includes first using a grounding resistance tester to test the grounding status of the circuit, then using an infrared thermal imager to check for damage points in the shielding layer, and finally verifying the repair effect through a continuity test.

[0148] The innovation of this invention lies in the fact that the positioning method based on electromagnetic environment analysis can overcome the limitations of traditional shielding inspection, accurately locate hidden grounding faults or shielding layer damage, avoid the time wasted due to blind troubleshooting, and generate specialized repair plans that can guide maintenance personnel to repair efficiently, further improving the communication quality of alarm circuits and system stability.

[0149] After the alarm system is installed, its alarm threshold is set using a method based on system status analysis. The specific operation is as follows:

[0150] During normal operation without fire alarms, continuously record the basic readings fed back by each alarm detector, the current values ​​of major electrical equipment, and the air supply temperature of the air conditioning system;

[0151] Analyze the relationship between changes in current in electrical equipment and changes in the basic readings of detectors;

[0152] If the variation range of a detector's basic reading is significantly different from the expected thermal impact calculated based on the current variation of its neighboring devices, then it is determined that the detector itself or its microenvironment is abnormal.

[0153] For detectors that are identified as abnormal, before they are officially put into monitoring, a temporary compensation value calculated based on the relationship between the readings of nearby normal detectors and the device current is used to calibrate their alarm threshold, and the detector is marked in the system log as needing to be checked during regular maintenance.

[0154] Among them, the basic reading refers to the stable output value of the alarm detector under the condition of no fire alarm and no obvious interference, such as the real-time temperature reading of the heat detector and the smoke concentration benchmark value of the smoke detector. The sampling frequency is set to 1 time / minute and is continuously recorded for 72 hours to cover different operating conditions.

[0155] The main electrical equipment refers to equipment that is ≤3 meters away from the detector and generates significant heat during operation, such as transformers, frequency converters, and contactors. Their current values ​​are collected through current transformers (accuracy class 0.5) connected in series in the equipment circuit to ensure that the data accurately reflects the changes in equipment load.

[0156] The expected thermal impact refers to the theoretical temperature impact on nearby detectors calculated based on changes in the current of electrical equipment. This is calculated by combining parameters such as the rated power of the equipment, the current load rate, the distance from the detector, and the air conditioning supply temperature. For example, when the current of a frequency converter increases from 50A to 100A (the load rate increases from 50% to 100%), the theoretical temperature increase of the detector 0.5 meters away is estimated to be 3℃.

[0157] Significant difference refers to the absolute value of the difference between the actual basic reading of the detector and the expected thermal effect ≥ 2℃, which can be automatically determined by the difference comparison algorithm built into the debugging system.

[0158] The compensation value is calculated using the following steps:

[0159] Select three normal detectors around the abnormal detector;

[0160] For each normal detector, a linear regression model is established between its basic reading and the current of adjacent devices, and the slope and intercept of each model are extracted.

[0161] The weighted average slope and weighted average intercept are calculated by weighting the distances between these normal and abnormal detectors (the closer the distance, the higher the weight, for example, the weight coefficient is 1 / distance) to establish a comprehensive compensation model.

[0162] By substituting the real-time current value of the device near the anomaly detector into this comprehensive compensation model, the corresponding compensation value can be calculated.

[0163] Alarm threshold calibration refers to the process of adding and correcting the original preset threshold to a compensation value. For example, if the original threshold is 55℃ and the compensation value is -2℃, the calibrated threshold will be 53℃. The system log is stored in encrypted form, recording the abnormal detector number, calibration time, compensation value, and maintenance prompts, facilitating traceability and handling by maintenance personnel.

[0164] This embodiment fully considers the impact of environmental factors such as equipment heating on the detector, eliminates the deviation of abnormal detectors through compensation calibration, avoids false alarms or missed alarms caused by improper threshold settings, and marks abnormal detectors to facilitate later maintenance, thereby improving the accuracy and reliability of the alarm system monitoring.

[0165] This invention first accurately collects parameters, combines three-dimensional static and dynamic conflict analysis, and simultaneously conducts construction feasibility verification and optimizes the installation plan; then, it combines environmental adaptability parameter effectiveness analysis to set the sealing protection level, and uses augmented reality to assist in the pre-installation of a sealing structure with pressure detection; finally, it improves operational accuracy through causal analysis debugging and system state threshold calibration.

[0166] Furthermore, this system addresses key pain points in traditional installations, such as conflicts and rework caused by inaccurate parameters, easy corrosion and failure of terminals in high-humidity marine environments, and difficulty in troubleshooting false alarms during the commissioning phase. It not only improves the accuracy of electrical cable and alarm system installation and shortens the installation cycle, but also increases the mean time between failures (MTBF) of the alarm system through its moisture-proof and sealed design. Simultaneously, the close coordination between commissioning and installation reduces subsequent maintenance costs and adapts to the special installation and operation requirements of offshore substations.

[0167] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of this template.

Claims

1. A method for commissioning and coordinating the electrical system and installing the alarm system of an offshore substation, characterized in that, include: Collect electrical cable laying path parameters and alarm detector installation point parameters for the area to be installed in the cabin of the offshore substation. Based on the obtained parameters, a static conflict analysis was conducted on the regional overlap and safe spacing distance of electrical cables and alarm detectors in the three-dimensional installation space. Based on the structural deformation of the overall structure of the offshore substation under dynamic load, a dynamic conflict analysis was conducted on the spacing distance change of electrical cables and alarm detectors in the dynamic environment, and spatial installation conflict analysis parameters were obtained. Collect periodic temperature and humidity fluctuation data inside the cabin, analyze the validity of the temperature and humidity fluctuation data, and use the valid temperature and humidity fluctuation data as environmental adaptation parameters. Based on the spatial installation conflict analysis parameters and environmental adaptation parameters, the final installation sequence is determined; According to the final installation sequence, a terminal receiving structure with integrated moisture-proof sealing components is pre-installed at the wiring terminal position corresponding to the alarm detector; wherein, the sealing protection level of the terminal receiving structure is set according to the humidity fluctuation peak value in the environmental adaptation parameters; After all electrical cable laying is completed, the alarm detector is fixed in place, and its terminals are embedded into the terminal receiving structure to complete the sealed assembly. During the joint system debugging phase, the alarm signals were analyzed based on causal relationships.

2. The installation method for the commissioning and alarm system of an offshore substation electrical system according to claim 1, characterized in that, The dynamic conflict analysis includes: Obtain structural deformation simulation data of the overall structure of the offshore substation under preset wind and wave loads and temperature cyclic loads; The electrical cable laying path parameters and alarm detector installation point parameters are imported into the deformation simulation data to calculate the maximum change in the distance between the cable bundle and the alarm detector under dynamic conditions. If the maximum change exceeds the preset dynamic safety threshold, a dynamic spatial conflict is determined, and the installation location of the alarm detector or the laying direction of the cable bundle is adjusted accordingly to eliminate the risk of interference in the dynamic environment.

3. The installation method for the commissioning and alarm system of an offshore substation electrical system according to claim 2, characterized in that, The process of adjusting the installation locations of alarm detectors or the routing of cable bundles also includes verifying the feasibility of the adjusted plan. Obtain the distribution of structural obstacles and construction accessibility parameters on the critical path in the adjusted scheme; By analyzing the operating space of construction workers of different body types under candidate paths through spatial simulation, when the operating space of a certain path is lower than the minimum space standard required for safe operation, it is automatically marked as a restricted path. The installation procedures for the restricted paths should be rearranged, and modular pre-assembly or specialized installation tools should be prioritized to solve the space constraint problem.

4. The installation method for the commissioning and alarm system of an offshore substation electrical system according to claim 1, characterized in that, The validity of the analyzed temperature and humidity fluctuation data includes: Analyze the curves of temperature and humidity sensor readings changing over time at different locations; The change curve is compared with the operation records of electrical equipment near the corresponding location; If the fluctuation of a sensor's data curve lacks correlation with the equipment's operating status, and the humidity value it records is consistently higher than the theoretical minimum humidity inside the cabin calculated from external meteorological data and the dehumidification capacity of the air conditioning system, then the sensor data is deemed invalid and will not be used as the primary basis for determining the sealing protection level.

5. The installation method for the commissioning and alarm system of an offshore substation electrical system according to claim 4, characterized in that, Determining the final installation order includes: Identify areas with potential conflicts and obtain the estimated construction time for laying electrical cables and installing alarm detectors in those areas; The construction duration is combined with environmental adaptation parameters within the current construction window for analysis. If the environmental adaptation parameters of a high-risk conflict area indicate that it is about to enter a high humidity period, and the electrical construction time in the area is expected to last through this period, then the decision outputs an adjustment instruction: to advance the pre-installation of the alarm detector terminal housing structure before the electrical cable laying, and to allocate an independent moisture-proof protection device for the pre-installation work.

6. The installation method for the commissioning and alarm system of an offshore substation electrical system according to claim 1, characterized in that, The pre-installed terminal receiving structure with integrated moisture-proof sealing components includes: Based on the final determined installation sequence and locations, installation guidance data containing the center coordinates and orientation information of the terminal receiving structure is generated; Using augmented reality devices to project the installation guidance data, the pre-installation position and installation direction of the terminal receiving structure are marked in the physical space of the area to be installed; Based on the augmented reality annotations, the construction personnel perform the positioning and fixing operations of the terminal receiving structure, and use the equipment to check in real time whether the installation position is accurate.

7. The installation method for the commissioning and alarm system of an offshore substation electrical system according to claim 6, characterized in that: The terminal receiving structure of the pre-installed integrated moisture-proof sealing assembly is as follows: A sealed socket with a quick-connect interface, which contains a miniature pressure sensor that communicates with a debugging system. The wiring terminals of the alarm detector are integrated into a matching sealed plug; When the sealing plug is inserted into the sealing socket, the miniature pressure sensor detects the change in air pressure in the internal cavity, and when the air pressure value stabilizes above the sealing threshold, it sends a signal to the debugging system that the sealing assembly is successful, and completes the electrical connection at the same time.

8. The installation method for the commissioning and alarm system of an offshore substation electrical system according to claim 1, characterized in that, The causal analysis of the alarm signal includes: When the alarm detector triggers a signal, the real-time airflow velocity data of the ventilation area where the detector is located is immediately obtained, and the bus communication quality index of the alarm circuit to which the detector belongs is checked. Analyze whether the fluctuation characteristics of the alarm signal are related to the rapid changes in airflow speed, and check whether there is a brief increase in the bit error rate of bus communication at the time of signal triggering. If the signal fluctuations and airflow changes are highly synchronized in time, it is inferred that the alarm source may be suspended particulate matter carried by the wind, and the system will automatically increase the airflow speed setting in the area to disperse it. If signal triggering and bus communication quality degradation occur simultaneously, it is inferred to be line interference, and the system initiates a shielding check procedure for the conductors in that loop.

9. The installation method for the commissioning and alarm system of an offshore substation electrical system according to claim 8, characterized in that, After initiating the shielding check procedure, it also includes interference source location based on electromagnetic environment analysis: The electrical characteristics of the alarm circuit wires were collected at different frequency bands, and an electromagnetic environment simulation model was established by combining the multipath reflection effect of the cabin's metal structure on electromagnetic signals. When the alarm signal is triggered, the instantaneous electromagnetic field strength at each detection point in the circuit is recorded synchronously, and the recorded field strength data is compared and analyzed with the electromagnetic environment simulation model. When the calculated location of the interference source differs significantly from the expected interference range of the known high-power frequency converter, it is determined that there is a hidden grounding fault or damage to the shielding layer, and a special maintenance plan containing the specific detection location and recommended maintenance procedures is generated.

10. The installation method for the commissioning and alarm system of an offshore substation electrical system according to claim 1, characterized in that, Before the alarm system is put into operation, the method also includes setting alarm thresholds based on system status analysis: During normal operation without fire alarms, continuously record the basic readings fed back by each alarm detector, the current values ​​of major electrical equipment, and the air supply temperature of the air conditioning system; Analyze the relationship between changes in current in electrical equipment and changes in the basic readings of detectors; If the variation range of a detector's basic reading is significantly different from the expected thermal impact calculated based on the current variation of its neighboring devices, then it is determined that the detector itself or its microenvironment is abnormal. For detectors that are identified as abnormal, before they are officially put into monitoring, a temporary compensation value calculated based on the relationship between the readings of nearby normal detectors and the device current is used to calibrate their alarm threshold, and the detector is marked in the system log as needing to be checked during regular maintenance.

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