A high-voltage cable channel lighting regulation method and system based on intelligent strategy

Abstract

This invention relates to the field of resource management and optimization decision-making technology, and particularly to a method and system for controlling lighting in high-voltage cable channels based on intelligent strategies. The method includes the following steps: S1: Collecting resource load data and environmental parameter monitoring results of industrial facilities; based on the environmental parameter monitoring results, dynamically marking the facility areas to generate resource allocation priority marking results; S2: Based on the marking results, traversing the entire channel to obtain a first maintenance area and a second maintenance area; based on the first and second maintenance areas, extracting the working status of ventilation openings; S3: Based on the working status of the ventilation openings, obtaining the power adjustment value of the lighting equipment using a lighting adjustment formula. This invention constructs a dynamic resource management method that, through real-time data-driven area division and optimized allocation, achieves global scheduling in complex environments, reduces manual intervention, and supports the intelligent upgrading of power facilities.

Description

Technical Field

[0001] This invention relates to the field of resource management and optimization decision-making technology, and in particular to a method and system for controlling lighting in high-voltage cable channels based on intelligent strategies. Background Technology

[0002] With the expansion of urban power grids, high-voltage cable tunnels, as the core carriers of power transmission, face severe challenges in their safe operation and maintenance. Currently, lighting systems in high-voltage cable tunnels generally suffer from problems such as inefficient resource allocation, inefficient task scheduling, and insufficient dynamic coordination. Traditional lighting solutions rely on fixed power supplies or batteries, resulting in insufficient equipment coverage due to complex construction and high maintenance costs. During operation and maintenance, manual inspections rely on experience-based judgment, making it difficult to dynamically adjust lighting strategies based on real-time environmental parameters, leading to both energy waste and safety hazards. Although existing technologies have optimized hardware performance through wireless networking and low-power design, the lack of systematic management for resource priority allocation, multi-parameter collaborative decision-making, and task conflict resolution results in low operation and maintenance efficiency. For example, when the status of ventilation openings does not dynamically match lighting demands, it is impossible to quickly generate optimization strategies; imbalanced lighting resource allocation during high-load periods exacerbates energy consumption. Therefore, it is urgent to construct a resource management framework based on intelligent strategies, using a data-driven dynamic optimization model to achieve efficient scheduling of lighting resources and task priority allocation, thereby improving the intelligence level of tunnel operation and maintenance. Summary of the Invention

[0003] To overcome the shortcomings of inefficient resource scheduling and insufficient coordination, the purpose of this invention is to provide a method and system for controlling lighting in high-voltage cable channels based on intelligent strategies.

[0004] The technical implementation scheme of the present invention is: a method for controlling lighting in high-voltage cable channels based on intelligent strategies, comprising the following steps:

[0005] S1: Collect resource load data and environmental parameter monitoring results of industrial facilities; based on the environmental parameter monitoring results, dynamically mark the facility area and generate marking results for resource allocation priority;

[0006] S2: Based on the marking results, traverse the entire channel to obtain the first maintenance area and the second maintenance area; based on the first maintenance area and the second maintenance area, extract the working status of the ventilation openings;

[0007] S3: Based on the working status of the ventilation opening, obtain the power adjustment value of the lighting equipment using the lighting adjustment formula; based on the lighting adjustment formula, obtain the dynamic maintenance area list using the dynamic maintenance area list formula.

[0008] S4: Based on the resource load data and the dynamic operation and maintenance area list, obtain the final dynamic operation and maintenance area list.

[0009] Preferably, the collection of resource load data and environmental parameter monitoring results of industrial facilities includes:

[0010] Real-time monitoring of the load current data of high-voltage cables; extraction of the maximum and minimum values ​​of the load current data within each window using a sliding time window; and plotting a load current change curve containing the complete time series and the maximum and minimum values.

[0011] Real-time acquisition of information on the distribution of ventilation openings and lighting equipment in high-voltage cable channels, as well as channel reflection conditions in high-voltage cable channels.

[0012] Preferably, the step of dynamically marking the facility area based on the environmental parameter monitoring results and generating a marking result for resource allocation priority includes:

[0013] Under standard lighting conditions, the reflected light intensity in each area of ​​the high-voltage cable channel was measured using a distributed light sensor.

[0014] Based on the ratio of incident light intensity to reflected light intensity, the reflectivity of each region is calculated and classified according to the following levels: if the reflectivity is ≥ a first preset threshold, it is marked as a high reflectivity region; if the reflectivity is ≥ a second preset threshold and < a first preset threshold, it is marked as a medium reflectivity region; if the reflectivity is < a second preset threshold, it is marked as a low reflectivity region.

[0015] Preferably, the step of traversing the entire channel based on the marking results to obtain the first maintenance area and the second maintenance area includes:

[0016] By scanning the entire channel, the standardized spatial distribution range of high, medium and low reflectivity zones is determined, which serves as the benchmark for subsequent regional division.

[0017] If the reflectivity distribution of a certain section shows a continuous gradient sequence of decreasing or increasing values, then that section is designated as the first maintenance area.

[0018] If the reflectivity distribution of a certain section does not conform to the above gradient sequence, then a marking is performed according to the reflectivity level: if it is a high reflectivity area, it is marked as 2; if it is a medium reflectivity area, it is marked as 1; if it is a low reflectivity area, it is marked as 0; the above marked sections are uniformly defined as the second maintenance area.

[0019] Preferably, the step of extracting the working status of the ventilation openings based on the first maintenance area and the second maintenance area includes:

[0020] When the vent is in operation, if the high reflectivity area, medium reflectivity area, and low reflectivity area in the first maintenance area change to low reflectivity area, medium reflectivity area, and high reflectivity area;

[0021] If the low reflectivity area, medium reflectivity area, and high reflectivity area in the first maintenance area are transformed into a high reflectivity area, medium reflectivity area, and low reflectivity area, then the first maintenance area is defined as a first type of reverse maintenance area; otherwise, the first maintenance area is defined as a first type of forward maintenance area.

[0022] If the high-reflection zone, medium-reflection zone, and low-reflection zone in the second maintenance area change, then the second maintenance area is defined as a second type of reverse maintenance area; otherwise, the second maintenance area is defined as a second type of forward maintenance area.

[0023] Preferably, obtaining the power adjustment value of the lighting equipment using a lighting adjustment formula based on the operating status of the vent includes:

[0024] Based on the first type of reverse maintenance area, the first forward maintenance area, the second reverse maintenance area, and the second forward maintenance area, the lighting equipment adjustment value is obtained using the lighting adjustment formula, as follows:

[0025]

[0026] in, For the first Power adjustment value for each lighting device Rated power of lighting equipment This refers to the number of the first type of reverse maintenance sections. The total number of sections in the entire corridor. For the first The number of Class I forward maintenance sections in the adjacent sections of each lighting device. For the first The total number of adjacent sections of each lighting fixture This is the reflectivity compensation coefficient. For ventilation efficiency weighting.

[0027] Preferably, obtaining the dynamic maintenance area list based on the lighting adjustment formula using the dynamic maintenance area list formula includes:

[0028] Calculate the power adjustment value of the lighting equipment in each area based on the lighting adjustment formula;

[0029] For each lighting device, calculate the difference between the power adjustment value and the original power for each lighting device;

[0030] The global maximum and minimum values ​​of the differences between all lighting devices are calculated, and the extreme values ​​of the differences between adjacent lighting device groups are extracted based on physically adjacent lighting devices.

[0031] If the difference between adjacent lighting devices meets one of the following conditions, the area where the lighting device is located will be designated as a maintenance area that needs to be adjusted first: the difference exceeds the product of the preset ratio and the global maximum value; or the difference between the difference with the adjacent device exceeds half of the global extreme value range.

[0032] Preferably, obtaining the dynamic operation and maintenance area list using the dynamic operation and maintenance area list formula includes:

[0033] The formula for the dynamic operation and maintenance area list is as follows.

[0034]

[0035] in, This is a list of dynamic operation and maintenance areas. For the first Power regulation difference of individual devices For the first The reverse maintenance area marker for the region where each device is located. This represents the maximum absolute value of the power regulation difference across all channels of equipment. For the weight coefficient of the reverse region, The base threshold ratio.

[0036] Preferably, obtaining the final dynamic operation and maintenance area list based on the resource load data and the dynamic operation and maintenance area list includes:

[0037] Based on the load current change curve, time periods are divided by preset high load power regulation difference threshold and low load power regulation difference threshold: if the power regulation difference exceeds the high load threshold, it is defined as a high load time period; if the power regulation difference is lower than the low load threshold, it is defined as a low load time period.

[0038] Within the dynamic maintenance area list, segments are filtered based on the following rules: High load period: Select segments whose power regulation difference exceeds the high load threshold and is located within the preset distance threshold of the ventilation opening; Low load period: Exclude segments whose power regulation difference is lower than the low load threshold.

[0039] The weight coefficients of the reverse region are dynamically adjusted based on the current fluctuation amplitude, and the final dynamic operation and maintenance region list is generated by spatiotemporal feature fusion, enabling real-time updates.

[0040] Preferably, the intelligent strategy-based high-voltage cable channel lighting control system includes:

[0041] Data acquisition and labeling module: used to acquire high-voltage cable load current data in real time, measure reflected light intensity through distributed sensors, calculate reflectivity, and label high, medium, and low reflectivity areas;

[0042] The region division module is used to traverse the channel to divide it into the first maintenance region and the second maintenance region, and to determine the first type of forward maintenance region / second type of reverse maintenance region based on the working status of the ventilation opening;

[0043] Power regulation calculation module: Based on the proportion of the first type of reverse maintenance section and the proportion of adjacent first type of forward maintenance section, the power regulation value of each lighting device is calculated using the lighting regulation formula. The dynamic maintenance area list is determined by combining the high load power regulation difference threshold and the low load power regulation difference threshold.

[0044] Dynamic optimization module: Based on the characteristics of load current during different time periods, high load sensitive sections are selected, and the weighting coefficient of the reverse region and the current fluctuation amplitude are integrated to generate a final dynamic operation and maintenance area list and update it in real time.

[0045] Beneficial Effects: This invention significantly improves the operation and maintenance efficiency and energy utilization level of high-voltage cable channels by constructing an intelligent dynamic resource management method. Based on real-time collected load current, reflectivity, and ventilation status data, the first and second operation and maintenance areas are dynamically divided by reflectingivity gradient sequence determination. Reverse area marking is triggered by ventilation status, and equipment power is precisely controlled using lighting adjustment formulas. Furthermore, highly sensitive sections are screened through dynamic operation and maintenance area list formulas, and resource allocation is dynamically optimized by combining high and low load time period division and ventilation proximity threshold rules. Global optimal scheduling is achieved under complex environmental changes, significantly reducing the need for manual intervention and providing efficient support for the intelligent upgrading of power facilities. Attached Figure Description

[0046] Figure 1 This is a flowchart of the high-voltage cable channel lighting control method based on intelligent strategy of the present invention;

[0047] Figure 2 This is a structural diagram of the high-voltage cable channel lighting control system based on intelligent strategy according to the present invention. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] Example 1: A method for controlling lighting in high-voltage cable channels based on intelligent strategies, such as... Figure 1 As shown, it includes the following steps:

[0050] S1: Collect resource load data and environmental parameter monitoring results of industrial facilities; based on the environmental parameter monitoring results, dynamically mark the facility area and generate marking results for resource allocation priority;

[0051] S2: Based on the marking results, traverse the entire channel to obtain the first maintenance area and the second maintenance area; based on the first maintenance area and the second maintenance area, extract the working status of the ventilation openings;

[0052] S3: Based on the working status of the ventilation opening, obtain the power adjustment value of the lighting equipment using the lighting adjustment formula; based on the lighting adjustment formula, obtain the dynamic maintenance area list using the dynamic maintenance area list formula.

[0053] S4: Based on the resource load data and the dynamic operation and maintenance area list, obtain the final dynamic operation and maintenance area list.

[0054] Collect resource load data and environmental parameter monitoring results for industrial facilities, including:

[0055] Real-time monitoring of the load current data of high-voltage cables; extraction of the maximum and minimum values ​​of the load current data within each window using a sliding time window; and plotting a load current change curve containing the complete time series and the maximum and minimum values.

[0056] Real-time acquisition of information on the distribution of ventilation openings and lighting equipment in high-voltage cable channels, as well as channel reflection conditions in high-voltage cable channels.

[0057] It should be noted that lighting control in high-voltage cable channels needs to respond in real time to load fluctuations and environmental changes. Traditional methods, due to insufficient data acquisition and analysis capabilities, struggle to achieve dynamic optimization. Real-time monitoring and multi-dimensional data fusion are key foundational technologies for improving energy efficiency and safety.

[0058] Sliding time windows are a dynamic data segmentation technique that divides continuous time series into fixed-length windows (e.g., 10 minutes). These windows slide forward as new data is added, covering the latest time period. By extracting the peak and trough values ​​(i.e., maximum and minimum values) of resource load within each window, it is possible to accurately capture the fluctuation characteristics of task demand and avoid local outliers interfering with global trend analysis.

[0059] By collecting load current data in real time, the extreme values ​​within the current window are calculated using a sliding window, and a load change curve is generated by combining this with a time series, providing a clear picture of the cable's operating status. Simultaneously, data on vent locations, lighting equipment layout, and channel reflectivity are acquired (by measuring reflected light intensity and calculating reflectivity using distributed sensors) to construct a multi-dimensional environmental parameter model. For example, when the load current in a window suddenly increases and the channel reflectivity is low, the lighting power in the adjacent vent area is automatically increased to ensure the safety of maintenance personnel; while in areas with stable loads and high reflectivity, the lighting intensity is reduced to save energy. Through data linkage and dynamic adjustment, precise resource matching and energy efficiency optimization are achieved.

[0060] Based on the environmental parameter monitoring results, the facility area is dynamically marked, generating a marking result for resource allocation priority, including:

[0061] Under standard lighting conditions, the reflected light intensity in each area of ​​the high-voltage cable channel was measured using a distributed light sensor.

[0062] Based on the ratio of incident light intensity to reflected light intensity, the reflectivity of each region is calculated and classified according to the following levels: if the reflectivity is ≥ a first preset threshold, it is marked as a high reflectivity region; if the reflectivity is ≥ a second preset threshold and < a first preset threshold, it is marked as a medium reflectivity region; if the reflectivity is < a second preset threshold, it is marked as a low reflectivity region.

[0063] It should be noted that: standard lighting conditions refer to a pre-set uniform and stable lighting environment used to ensure the consistency of the benchmark for reflectance measurement;

[0064] Distributed illumination sensors: Sensors that are distributed at different locations in the channel to simultaneously collect illumination data from multiple areas;

[0065] Reflectivity: The ratio of the intensity of reflected light to the intensity of incident light on a material surface, reflecting the light absorption or reflection characteristics of the material surface;

[0066] Preset threshold: A critical value set according to actual needs, used to classify reflectivity levels.

[0067] By measuring the reflected light intensity in each area under standard illumination using distributed sensors, and combining this with the incident light intensity to calculate reflectivity, the channel is divided into high-reflectivity, medium-reflectivity, and low-reflectivity zones based on preset thresholds. This division reflects the light environment characteristics of different areas, providing a physical basis for subsequent dynamic adjustments to lighting strategies. For example, high-reflectivity zones, due to their strong reflectivity, require reduced lighting power; while low-reflectivity zones require enhanced illumination to ensure safety.

[0068] Application Example: Suppose a section of a channel has a reflectivity below a second preset threshold due to material aging, and is marked as a low-reflectivity area. Upon identification, the power of the lighting equipment in this area is automatically increased, while nearby equipment in the medium-reflectivity area provides appropriate supplemental lighting to avoid localized darkness. Meanwhile, in the high-reflectivity area, where the wall surface reflects sufficient light, the lighting intensity is reduced to decrease energy consumption. Through dynamic reflectivity grading and linkage with lighting strategies, both safety and energy efficiency are optimized.

[0069] Based on the marking results, the entire channel is traversed to obtain the first maintenance area and the second maintenance area, including:

[0070] By scanning the entire channel, the standardized spatial distribution range of high, medium and low reflectivity zones is determined, which serves as the benchmark for subsequent regional division.

[0071] If the reflectivity distribution of a certain section shows a continuous gradient sequence of decreasing or increasing values, then that section is designated as the first maintenance area.

[0072] If the reflectivity distribution of a certain section does not conform to the above gradient sequence, then a marking is performed according to the reflectivity level: if it is a high reflectivity area, it is marked as 2; if it is a medium reflectivity area, it is marked as 1; if it is a low reflectivity area, it is marked as 0; the above marked sections are uniformly defined as the second maintenance area.

[0073] It should be noted that: by traversing the channel reflectivity distribution pattern (such as high→medium→low or low→medium→high gradient sequence), continuous areas conforming to a preset pattern are identified and defined as the first maintenance area; the remaining areas that do not conform to the pattern are secondary-marked based on the standard reflectivity distribution template (the benchmark range of high, medium, and low reflectivity zones): if it is a high reflectivity zone, it is marked as 2; if it is a medium reflectivity zone, it is marked as 1; if it is a low reflectivity zone, it is marked as 0; the above-mentioned marked areas are uniformly defined as the second maintenance area. The first maintenance area is used for dynamic optimization (such as ventilation-linked lighting adjustment), and the second maintenance area is used for static calibration (assigning fixed lighting weights according to the marked values). Together, they construct a hierarchical management framework.

[0074] Application Example: Suppose the first half of a channel exhibits a high-medium-low reflectivity distribution, designated as the first maintenance area, where ventilation-linked lighting adjustments are prioritized. The second half, due to its reflectivity distribution not conforming to a preset gradient sequence (e.g., high-low-medium), is relegated to the second maintenance area, where fixed lighting weights are assigned based on a marker value (e.g., high reflectivity areas are marked as 2). For instance, when a high reflectivity area (marked as 2) in the second maintenance area is adjacent to a ventilation opening, the lighting power is comprehensively increased by combining the static weights of the second maintenance area with the dynamic strategies of the first maintenance area. This avoids blind spots in control caused by regional segmentation, achieving coordinated optimization of lighting resources across the entire area.

[0075] Based on the first and second maintenance areas, the operational status of the ventilation openings is extracted, including:

[0076] When the vent is in operation, if the high reflectivity area, medium reflectivity area, and low reflectivity area in the first maintenance area change to low reflectivity area, medium reflectivity area, and high reflectivity area;

[0077] If the low reflectivity area, medium reflectivity area, and high reflectivity area in the first maintenance area are transformed into a high reflectivity area, medium reflectivity area, and low reflectivity area, then the first maintenance area is defined as a first type of reverse maintenance area; otherwise, the first maintenance area is defined as a first type of forward maintenance area.

[0078] If the high-reflection zone, medium-reflection zone, and low-reflection zone in the second maintenance area change, then the second maintenance area is defined as a second type of reverse maintenance area; otherwise, the second maintenance area is defined as a second type of forward maintenance area.

[0079] It should be noted that the regional attributes are dynamically classified based on whether the reflectivity distribution of the ventilation outlets undergoes a reverse change after operation (e.g., the high→medium→low sequence reverses to low→medium→high, or low→medium→high reverses to high→medium→low). If the reflectivity distribution pattern of the first maintenance area is opposite to the initial state, it is marked as a first-type reverse maintenance area, indicating significant environmental disturbance; otherwise, it is defined as a first-type forward maintenance area, indicating a stable state. For the second maintenance area, the reverse or forward direction is determined by the change in the reflectivity level label value (e.g., a high reflectivity area originally labeled 2 changes to a medium reflectivity area and is labeled 1), forming a dynamic-static collaborative response mechanism.

[0080] Application Example: Assume the first maintenance area initially has a high-to-medium-to-low reflectivity distribution. After the ventilation vents are activated, the airflow causes the high-reflectivity areas to reflect less light, changing to a low-to-medium-to-high distribution. This area is then defined as a first-type reverse maintenance area, triggering an emergency lighting enhancement strategy. Simultaneously, in the second maintenance area, a high-reflectivity area originally marked as 2 becomes a medium-reflectivity area (marked as 1) due to ventilation, and is identified as a second-type reverse maintenance area, triggering a power adjustment for adjacent equipment. Unaffected forward areas maintain baseline lighting, ensuring resource allocation balances dynamic response and stability.

[0081] Based on the operating status of the vent, the power adjustment value of the lighting equipment is obtained using the lighting adjustment formula, including:

[0082] Based on the first type of reverse maintenance area, the first forward maintenance area, the second reverse maintenance area, and the second forward maintenance area, the lighting equipment adjustment value is obtained using the lighting adjustment formula, as follows:

[0083]

[0084] in, For the first Power adjustment value for each lighting device Rated power of lighting equipment This refers to the number of the first type of reverse maintenance sections. The total number of sections in the entire corridor. For the first The number of Class I forward maintenance sections in the adjacent sections of each lighting device. For the first The total number of adjacent sections of each lighting fixture This is the reflectivity compensation coefficient. For ventilation efficiency weighting.

[0085] It should be noted that the lighting adjustment formula achieves precise power adjustment through dynamic weight allocation.

[0086] The first item ( This reflects the impact of the first type of reverse maintenance area on the overall situation. The higher the proportion of reverse sections, the greater the risk of environmental disturbance, and the power needs to be significantly improved.

[0087] The second item ( Based on the proportion of the first type of forward maintenance section in the adjacent section, ensure that the local lighting strategy is coordinated with the stable area to avoid sudden changes in illumination.

[0088] Parameter definition: Adjacent segment: refers to the segment adjacent to the first segment. For each section where lighting equipment is physically adjacent and the distance does not exceed a preset threshold (e.g., 5 meters), the number of adjacent sections is... Determined dynamically based on equipment location;

[0089] Reflectivity compensation coefficient ( ): Used to amplify the power adjustment range in the reverse region, with a default value range of 0.1~0.3;

[0090] Ventilation efficiency weight ( ): Used to balance the impact of ventilation status on adjacent areas, with a default value range of 0.05~0.2.

[0091] Application example: Assume a certain channel has a total number of segments. =200, the first type of reverse operation and maintenance area contains 8 segments ( =8), a certain lighting equipment has a total of 12 adjacent sections ( =12), of which 9 are forward sections ( =9). Setting =80W, =0.15, =0.1, substituting into the formula, we get:

[0092] The power of the device has been increased from 80W to 86.6W, which not only covers the lighting needs of the reverse area, but also smoothly transitions with the adjacent forward area, achieving a balance between safety and energy efficiency.

[0093] Based on the aforementioned lighting adjustment formula, a dynamic maintenance area list is obtained using the dynamic maintenance area list formula, including:

[0094] Calculate the power adjustment value of the lighting equipment in each area based on the lighting adjustment formula;

[0095] For each lighting device, calculate the difference between the power adjustment value and the original power for each lighting device;

[0096] The global maximum and minimum values ​​of the differences between all lighting devices are calculated, and the extreme values ​​of the differences between adjacent lighting device groups are extracted based on physically adjacent lighting devices.

[0097] If the difference between adjacent lighting devices meets one of the following conditions, the area where the lighting device is located will be designated as a maintenance area that needs to be adjusted first: the difference exceeds the product of the preset ratio and the global maximum value; or the difference between the difference with the adjacent device exceeds half of the global extreme value range.

[0098] It should be noted that the degree of dynamic change in resource allocation is quantified by calculating the power adjustment difference of each lighting device (the difference between the adjusted power and the original power). Judgment rules: Extreme values ​​of difference: The maximum and minimum values ​​of the difference between adjacent device groups are statistically analyzed to reflect the difference in demand or the intensity of disturbance between areas; Priority determination: If an area meets one of the following conditions, it is included in the list of dynamic operation and maintenance areas: The power adjustment difference exceeds the product of a preset ratio (e.g., 0.7) and the global maximum value (e.g., when the global maximum difference is 30W, the threshold is 0.7*30=21W); The difference with adjacent devices exceeds half of the global extreme value range (maximum value - minimum value).

[0099] Application Example: Assume device A has a differential adjustment value of 25W (original 80W → adjusted 105W), and the differential adjustment value of its neighboring device B is only 5W (original 80W → adjusted 85W). The global maximum differential adjustment value is 30W, and the preset ratio is 0.7. Therefore, the threshold is 0.7 * 30 = 21W. Since 25W > 21W, the area where device A is located is included in the dynamic maintenance area list, and reflectivity retesting and ventilation calibration are prioritized. Device B, due to its small differential adjustment value, maintains the standard strategy. For example, if device A is located on the boundary of a first-class reverse maintenance area, and the high differential adjustment value is caused by abnormal ventilation, then the lighting in that area will be optimized specifically and linked to neighboring devices to avoid local overload.

[0100] The dynamic operation and maintenance area list is obtained using the formula, including:

[0101] The formula for the dynamic operation and maintenance area list is as follows.

[0102]

[0103] in, This is a list of dynamic operation and maintenance areas. For the first Power regulation difference of individual devices For the first The reverse maintenance area marker for the region where each device is located. This represents the maximum absolute value of the power regulation difference across all channels of equipment. For the weight coefficient of the reverse region, The base threshold ratio.

[0104] It should be noted that the formula for the dynamic operation and maintenance area list uses composite weights to filter areas that require priority control. The core logic is as follows:

[0105] Power regulation difference ( ): Reflecting the The intensity of the power adjustment for each device is taken as the absolute value of the difference between the adjusted power and the original power.

[0106] Class Reverse Operation and Maintenance Area Marking ( If the area where the device is located is a Class I or Class II reverse maintenance area, it is marked as 1; otherwise, it is marked as 0.

[0107] Global maximum power regulation difference ( ): Take the maximum absolute value of the power adjustment difference of all devices in the entire channel;

[0108] Judgment threshold: weighted value Must meet Only then can it be included in the dynamic operation and maintenance area list.

[0109] Parameter definition:

[0110] Reverse region weight coefficient ( ): Used to amplify the risk priority of the reverse region, with a default value range of 0.5~1.0;

[0111] Basic threshold ratio ( ): Used to dynamically adjust the judgment sensitivity, with a default value of 0.5.

[0112] Application example: Assume device A is located in the first type of reverse maintenance area. =1, power adjustment difference of device A =25W (absolute value), global maximum power adjustment difference =40W (absolute value), set =0.6, =0.5. Calculation yields: 25*(1+0.6*1)=40W; Threshold: 0.5*40=20W; Because 40W 20W, the area where device A is located is designated as a dynamic maintenance area. For example, if the reflectivity of this area drops sharply due to abnormal ventilation, the lighting power will be increased first, and ventilation calibration will be triggered. Simultaneously, adjacent areas in the same direction will be appropriately illuminated to prevent localized darkness that could lead to safety hazards. The dynamic maintenance area list is a set of device or area indices selected through a formula that prioritize adjustments. For example: ={1,3,5} indicates that devices or sections numbered 1, 3, and 5 need to be optimized.

[0113] Based on the resource load data and the dynamic operation and maintenance area list, a final dynamic operation and maintenance area list is obtained, including:

[0114] Based on the load current change curve, time periods are divided by preset high load power regulation difference threshold and low load power regulation difference threshold: if the power regulation difference exceeds the high load threshold, it is defined as a high load time period; if the power regulation difference is lower than the low load threshold, it is defined as a low load time period.

[0115] Within the dynamic maintenance area list, segments are filtered based on the following rules: High load period: Select segments whose power regulation difference exceeds the high load threshold and is located within the preset distance threshold of the ventilation opening; Low load period: Exclude segments whose power regulation difference is lower than the low load threshold.

[0116] The weight coefficients of the reverse region are dynamically adjusted based on the current fluctuation amplitude, and the final dynamic operation and maintenance region list is generated by spatiotemporal feature fusion, enabling real-time updates.

[0117] It should be noted that the final dynamic operation and maintenance area list is generated through spatiotemporal feature fusion, and the specific rules are as follows:

[0118] Time period division:

[0119] High load period: The power regulation difference exceeds the preset high load threshold (e.g., 30W);

[0120] Low load period: The power regulation difference is lower than the preset low load threshold (e.g., 10W).

[0121] Segment Filtering:

[0122] High load period: Select the section where the power regulation difference exceeds the high load threshold and is within the preset distance threshold of the ventilation opening (e.g., 5 meters);

[0123] Low load periods: Exclude sections where the power regulation difference is lower than the low load threshold.

[0124] Weights are dynamically adjusted:

[0125] Current fluctuation amplitude: The standard deviation of the current is calculated through a sliding window. If the fluctuation amplitude exceeds a preset proportion (e.g., 15%), the weighting coefficient of the reverse region is increased. ;

[0126] Spatiotemporal fusion: Combining time (load cycle) and space (vent location) characteristics, the inventory is updated in real time.

[0127] Application Example: Suppose that during the midday high-load period, a certain section of a channel experiences a surge in load due to its proximity to a ventilation opening (distance ≤ 5 meters), causing the power regulation difference to increase from 10W to 35W (absolute value). This section will then be marked as a priority control zone, and its reverse weight will be increased. =0.8; while during low-load periods at night, the power regulation difference in the same section fluctuates by only 2W (absolute value), and the same section is automatically removed from the list. If the current in the section fluctuates frequently (such as a short-term sudden increase of 20%), the reverse weight is dynamically increased, triggering additional ventilation calibration and lighting enhancement to avoid the risk of local overheating.

[0128] Example 2: Based on Example 1, a high-voltage cable channel lighting control system based on intelligent strategies, such as... Figure 2 As shown, it includes:

[0129] Data acquisition and labeling module: used to acquire high-voltage cable load current data in real time, measure reflected light intensity through distributed sensors, calculate reflectivity, and label high, medium, and low reflectivity areas;

[0130] The region division module is used to traverse the channel to divide it into the first maintenance region and the second maintenance region, and to determine the first type of forward maintenance region / second type of reverse maintenance region based on the working status of the ventilation opening;

[0131] Power regulation calculation module: Based on the proportion of the first type of reverse maintenance section and the proportion of adjacent first type of forward maintenance section, the power regulation value of each lighting device is calculated using the lighting regulation formula. The dynamic maintenance area list is determined by combining the high load power regulation difference threshold and the low load power regulation difference threshold.

[0132] Dynamic optimization module: Based on the characteristics of load current during different time periods, high load sensitive sections are selected, and the weighting coefficient of the reverse region and the current fluctuation amplitude are integrated to generate a final dynamic operation and maintenance area list and update it in real time.

[0133] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for controlling lighting in high-voltage cable channels based on intelligent strategies, characterized in that, Includes the following steps: S1: Collect resource load data and environmental parameter monitoring results of industrial facilities; based on the environmental parameter monitoring results, dynamically mark the facility area and generate marking results for resource allocation priority; S2: Based on the marking results, traverse the entire channel to obtain the first maintenance area and the second maintenance area; Based on the first and second maintenance areas, extract the working status of the ventilation openings; S3: Based on the operating status of the ventilation opening, obtain the power adjustment value of the lighting equipment using a lighting adjustment formula. This process includes obtaining the power adjustment value of the lighting equipment based on the operating status of the ventilation opening, including: obtaining the lighting equipment adjustment value using a lighting adjustment formula based on the first type of reverse maintenance area and the first forward maintenance area. The lighting adjustment formula is as follows. in, For the first Power adjustment value for each lighting device Rated power of lighting equipment This refers to the number of the first type of reverse maintenance sections. The total number of sections in the entire corridor. For the first The number of Class I forward maintenance sections in the adjacent sections of each lighting device. For the first The total number of adjacent sections of each lighting fixture This is the reflectivity compensation coefficient. The ventilation efficiency is weighted; based on the lighting adjustment formula, a dynamic maintenance area list is obtained using the dynamic maintenance area list formula; the process of obtaining the dynamic maintenance area list using the dynamic maintenance area list formula includes: the dynamic maintenance area list formula is as follows. in, This is a list of dynamic operation and maintenance areas. For the first Power regulation difference of individual devices For the first The reverse maintenance area marker for the region where each device is located. This represents the maximum absolute value of the power regulation difference across all channels of equipment. For the weight coefficient of the reverse region, Base threshold ratio; S4: Based on the resource load data and the dynamic operation and maintenance area list, obtain the final dynamic operation and maintenance area list.

2. The high-voltage cable channel lighting control method based on intelligent strategy according to claim 1, characterized in that, The data collected on resource load and environmental parameters of industrial facilities include: Real-time monitoring of the load current data of high-voltage cables; extraction of the maximum and minimum values ​​of the load current data within each window using a sliding time window; and plotting a load current change curve containing the complete time series and the maximum and minimum values. Real-time acquisition of information on the distribution of ventilation openings and lighting equipment in high-voltage cable channels, as well as channel reflection conditions in high-voltage cable channels.

3. A method for controlling lighting in high-voltage cable channels based on intelligent strategies according to claim 1, characterized in that, The process of dynamically marking facility areas based on the environmental parameter monitoring results and generating resource allocation priority marking results includes: Under standard lighting conditions, the reflected light intensity in each area of ​​the high-voltage cable channel was measured using a distributed light sensor. Based on the ratio of incident light intensity to reflected light intensity, the reflectivity of each region is calculated and classified according to the following levels: if the reflectivity is ≥ a first preset threshold, it is marked as a high reflectivity region; if the reflectivity is ≥ a second preset threshold and < a first preset threshold, it is marked as a medium reflectivity region; if the reflectivity is < a second preset threshold, it is marked as a low reflectivity region.

4. A method for controlling lighting in high-voltage cable channels based on intelligent strategies according to claim 1, characterized in that, Based on the marking results, the entire channel is traversed to obtain the first and second operation and maintenance areas, including: By scanning the entire channel, the standardized spatial distribution range of high, medium and low reflectivity zones is determined, which serves as the benchmark for subsequent regional division. If the reflectivity distribution of a certain section shows a continuous gradient sequence of decreasing or increasing values, then that section is designated as the first maintenance area. If the reflectivity distribution of a certain section does not conform to the above gradient sequence, then a marking is performed according to the reflectivity level: if it is a high reflectivity area, it is marked as 2; if it is a medium reflectivity area, it is marked as 1; if it is a low reflectivity area, it is marked as 0; the above marked sections are uniformly defined as the second maintenance area.

5. A method for controlling lighting in high-voltage cable channels based on intelligent strategies according to claim 1, characterized in that, The step of extracting the working status of ventilation openings based on the first and second maintenance areas includes: When the vent is in operation, if the high reflectivity area, medium reflectivity area, and low reflectivity area in the first maintenance area change to low reflectivity area, medium reflectivity area, and high reflectivity area; If the low reflectivity area, medium reflectivity area, and high reflectivity area in the first maintenance area are transformed into a high reflectivity area, medium reflectivity area, and low reflectivity area, then the first maintenance area is defined as a first type of reverse maintenance area; otherwise, the first maintenance area is defined as a first type of forward maintenance area. If the high-reflection zone, medium-reflection zone, and low-reflection zone in the second maintenance area change, then the second maintenance area is defined as a second type of reverse maintenance area; otherwise, the second maintenance area is defined as a second type of forward maintenance area.

6. A method for controlling lighting in high-voltage cable channels based on intelligent strategies according to claim 1, characterized in that, The step of obtaining the dynamic maintenance area list based on the lighting adjustment formula and using the dynamic maintenance area list formula includes: Calculate the power adjustment value of the lighting equipment in each area based on the lighting adjustment formula; For each lighting device, calculate the difference between the power adjustment value and the original power for each lighting device; The global maximum and minimum values ​​of the differences between all lighting devices are calculated, and the extreme values ​​of the differences between adjacent lighting device groups are extracted based on physically adjacent lighting devices. If the difference between adjacent lighting devices meets one of the following conditions, the area where the lighting device is located will be designated as a maintenance area that needs to be adjusted first: the difference exceeds the product of the preset ratio and the global maximum value; or the difference between the difference with the adjacent device exceeds half of the global extreme value range.

7. A method for controlling lighting in high-voltage cable channels based on intelligent strategies according to claim 1, characterized in that, The process of obtaining the final dynamic operation and maintenance area list based on the resource load data and the dynamic operation and maintenance area list includes: Based on the load current change curve, time periods are divided by preset high load power regulation difference threshold and low load power regulation difference threshold: if the power regulation difference exceeds the high load threshold, it is defined as a high load time period; if the power regulation difference is lower than the low load threshold, it is defined as a low load time period. Within the dynamic maintenance area list, segments are filtered based on the following rules: High load period: Select segments whose power regulation difference exceeds the high load threshold and are located within the preset distance threshold of the ventilation opening; Low load period: Exclude segments whose power regulation difference is lower than the low load threshold; Combine the current fluctuation amplitude to dynamically adjust the weight coefficient of the reverse area, and generate the final dynamic maintenance area list through spatiotemporal feature fusion to achieve real-time updates.

8. A high-voltage cable channel lighting control system based on intelligent strategies, used to implement the high-voltage cable channel lighting control method based on intelligent strategies as described in any one of claims 1-7, characterized in that, include: Data acquisition and labeling module: used to acquire high-voltage cable load current data in real time, measure reflected light intensity through distributed sensors, calculate reflectivity, and label high, medium, and low reflectivity areas; The region division module is used to traverse the channel to divide it into the first maintenance region and the second maintenance region, and to determine the first type of forward maintenance region / second type of reverse maintenance region based on the working status of the ventilation opening; Power regulation calculation module: Based on the proportion of the first type of reverse maintenance section and the proportion of adjacent first type of forward maintenance section, the power regulation value of each lighting device is calculated using the lighting regulation formula. The dynamic maintenance area list is determined by combining the high load power regulation difference threshold and the low load power regulation difference threshold. Dynamic optimization module: Based on the characteristics of load current during different time periods, high load sensitive sections are selected, and the weighting coefficient of the reverse region and the current fluctuation amplitude are integrated to generate a final dynamic operation and maintenance area list and update it in real time.

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