Illumination control method, device and equipment for outdoor area of factory and medium

Abstract

The invention relates to the field of equipment control, in particular to an illumination control method and device for an outdoor area of a factory, equipment and a medium. According to the method provided by the embodiment of the invention, the lighting equipment is controlled as required by dividing the region types and acquiring the associated multi-dimensional sensing data, so that long-time lighting at night is avoided, and the problem of huge energy consumption is solved; secondly, sensing data is used for driving lighting operation, a timing and light-operated extensive mode is replaced, and the control intelligence level is improved; then, based on an area type and a multi-dimensional data matching illumination strategy, linkage of illumination and production activities is achieved, and the disjunction problems of response lag and area omission are solved; and finally, path pre-judgment and accurate tracking of a moving target are realized based on multi-dimensional sensing data, illumination road sections are divided, equipment is started according to a time sequence, environmental interference is avoided, continuous illumination is realized, and the problems that a human body sensing scheme is poor in adaptability and accurate and continuous control cannot be realized are solved.

Description

Technical Field

[0001] This invention relates to the field of equipment control, and more specifically to a method, apparatus, equipment, and medium for controlling lighting in outdoor areas of a factory. Background Technology

[0002] LNG liquefaction plants are characterized by their vast outdoor areas, encompassing plant roads, process units such as compressor and heat exchanger units, major hazard sources like storage tank areas, and loading / unloading areas. Lighting in these areas plays a crucial role in nighttime inspections, safety monitoring, and emergency response. Currently, LNG liquefaction plants commonly use high-power explosion-proof lamps for outdoor lighting. For safety reasons, these lamps are typically kept on all night, resulting in significant energy waste and a prominent energy consumption problem. In terms of control methods, most lighting systems employ timed control or simple light-controlled modes. Timed control struggles to adapt to changes in day and night duration and weather conditions, while light-controlled modes cannot accurately distinguish whether there is actual lighting demand at night, resulting in a low level of overall control intelligence. Furthermore, the lighting system is independent of the plant's production and operation management systems (such as DCS and SIS), lacking a coordinated mechanism. When equipment maintenance or material loading / unloading is carried out at night, operators often need to arrive early or manually activate specific lighting areas via intercom, leading to delayed responses and a high risk of overlooking certain areas, failing to meet the actual needs of production operations.

[0003] While existing lighting energy-saving control schemes based on human body sensing exist, these schemes face numerous challenges when applied in the vast outdoor environment of LNG plants. Their sensing range is limited, they are easily affected by environmental factors such as small animal activity, leading to false triggers, and they cannot predict personnel movement paths, making it difficult to achieve continuous and precise lighting control. Therefore, there is an urgent need to develop an intelligent lighting control scheme that can be deeply adapted to the outdoor operating characteristics of LNG plants and closely integrated with production activities to solve the problems of high energy consumption, low level of intelligence, and disconnection from production in existing lighting systems. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a method, apparatus, equipment and medium for controlling lighting in outdoor areas of a factory, in order to solve the problems of huge energy consumption, low level of intelligent control and disconnection from production activities in outdoor lighting systems of LNG liquefaction plants, and the fact that existing human body sensing energy-saving solutions cannot adapt to the application needs of the vast outdoor environment of the factory and are difficult to achieve accurate and continuous lighting control.

[0005] In a first aspect, embodiments of the present invention provide a lighting control method for an outdoor area of ​​a factory, the method comprising: Obtain the area type of each outdoor area of ​​the factory; Obtain multidimensional sensing data associated with the area type from each of the outdoor areas; The lighting equipment in the outdoor area is controlled to perform corresponding lighting operations based on the multi-dimensional sensing data.

[0006] Furthermore, the acquisition of multi-dimensional sensing data associated with the area type from each of the outdoor areas includes: If the area type is a road inspection type, the multi-dimensional sensing data obtained from the outdoor area includes: movement data of moving targets in the outdoor area and environmental data of the outdoor area; If the area type is a process unit type, the multi-dimensional sensing data obtained from the outdoor area includes: environmental data of the outdoor area and the operating status of the outdoor area; If the area type is a hazard source type, the multidimensional sensing data obtained from the outdoor area includes: movement data of moving targets in the outdoor area and the operation status in the outdoor area.

[0007] Furthermore, controlling the outdoor lighting equipment to perform corresponding lighting operations based on the multi-dimensional sensing data includes: If the area type is a road inspection type, the current location of the moving target is determined based on the movement data, and the lighting equipment in the outdoor area that matches the current location is controlled to provide illumination; The movement path of the moving target is predicted using the movement data; The lighting devices in the outdoor area that match the movement path are controlled to illuminate sequentially.

[0008] Furthermore, controlling the outdoor lighting equipment to perform corresponding lighting operations based on the multi-dimensional sensing data includes: If the area type is a process unit type, analyze the operation status to determine whether there is construction work in the outdoor area; If there is no construction work in the outdoor area, the lighting equipment in the outdoor area is controlled to illuminate according to the first brightness value, and the presence of construction work in the outdoor area is continuously detected. The first brightness value is the brightness value corresponding to the lighting equipment under the preset basic operating power consumption. When construction work is detected in the outdoor area, the lighting equipment in the outdoor area is controlled to adjust from a first brightness value to a second brightness value and maintain the second brightness value for illumination, wherein the second brightness value is greater than the first brightness value.

[0009] Furthermore, controlling the outdoor lighting equipment to perform corresponding lighting operations based on the multi-dimensional sensing data includes: If the area type is a hazard source type, analyze the operation status to determine whether there is construction work in the outdoor area, and determine whether the moving target has the intention to move based on the movement data; If there is no construction work in the outdoor area and the moving target has no intention to move, then the lighting equipment in the outdoor area is controlled to illuminate at the lowest brightness value; or, if there is construction work in the outdoor area and / or the moving target has no intention to move, then the lighting equipment in the outdoor area is controlled to illuminate at the highest brightness value.

[0010] Furthermore, the method also includes: Real-time statistics of the cumulative energy consumption of lighting equipment in each outdoor area; If the cumulative energy consumption matches the preset warning value of the energy consumption quota, the lighting equipment will be controlled to provide lighting according to the energy-saving strategy.

[0011] Furthermore, the method also includes: Obtain historical operation time data for the outdoor area; Predict the probability of operations in future periods based on historical operation time data; If the probability of operation exceeds a preset threshold, the lighting equipment will be adjusted to a transition brightness value before the future time period is reached, wherein the transition brightness value is between a first brightness value and a second brightness value.

[0012] Secondly, embodiments of the present invention provide a lighting control device for an outdoor area of ​​a factory, the device comprising: The first acquisition module is used to acquire the area type of each outdoor area of ​​the factory; The second acquisition module is used to acquire multi-dimensional sensing data associated with the area type from each of the outdoor areas; The control module is used to control the lighting equipment in the outdoor area to perform corresponding lighting operations according to the multi-dimensional sensing data.

[0013] Thirdly, embodiments of the present invention provide a computer device, including: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to perform the method described in the first aspect or any corresponding embodiment thereof.

[0014] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing computer instructions that cause a computer to perform the method described in the first aspect or any of its corresponding embodiments.

[0015] The method provided in this application solves the problem of huge energy consumption by dividing the area into types and acquiring associated multi-dimensional sensing data to control lighting equipment on demand, avoiding continuous lighting all night. Secondly, it uses sensing data to drive lighting operations, replacing the crude mode of timed and light-controlled operation, and improving the level of intelligent control. Then, it matches lighting strategies based on area type and multi-dimensional data to achieve linkage between lighting and production activities, solving the problems of delayed response and missing areas. Finally, it relies on multi-dimensional sensing data to achieve path prediction and accurate tracking of moving targets, divide lighting sections and start equipment in sequence to avoid environmental interference, achieve continuous lighting, and solve the problems of poor adaptability and inability to accurately and continuously control human body sensing solutions. Attached Figure Description

[0016] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a schematic flowchart of a lighting control method for an outdoor area of ​​a factory according to some embodiments of the present invention; Figure 2 This is a schematic flowchart of another lighting control method for an outdoor area of ​​a factory according to some embodiments of the present invention; Figure 3 This is a schematic flowchart of another lighting control method for an outdoor area of ​​a factory according to some embodiments of the present invention; Figure 4 This is a structural block diagram of a lighting control device for an outdoor area of ​​a factory according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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, 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.

[0019] According to embodiments of the present invention, a method, apparatus, device, and medium for controlling lighting in an outdoor area of ​​a factory are provided. It should be noted that the steps shown in the flowcharts in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0020] This embodiment provides a method for controlling lighting in an outdoor area of ​​a factory. Figure 1 This is a flowchart of a lighting control method for an outdoor area of ​​a factory according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps: Step S101: Obtain the area type of each outdoor area of ​​the factory.

[0021] In this embodiment of the application, obtaining the area type of each outdoor area of ​​the LNG liquefaction plant requires relying on the plant's physical space layout and functional planning documents. First, the geographical boundaries of the outdoor areas need to be accurately delineated. When delineating, the functional positioning of different areas needs to be clarified in combination with the actual production and operation needs of the plant.

[0022] For example, main roads, branch roads, and surrounding auxiliary passages within the plant area used for material transportation and personnel inspection are designated as road inspection areas; installation sites for various production units, reactors, and storage tanks, equipment operation and maintenance platforms, and their surrounding safety protection zones are designated as process unit areas; and areas storing flammable, explosive, toxic, or hazardous media, hazardous materials loading and unloading areas, and high-risk protection zones identified through safety assessments are designated as hazard source areas. After the division is completed, each area is assigned a unique geographic identification code. Then, according to the preset area type classification standards, each geographic identification code is bound to a corresponding area type label. At the same time, the area's auxiliary attribute information is entered, such as the length, width, and inspection route number of road inspection areas; the equipment model and operation and maintenance cycle of process unit areas; and the risk level and protection requirements of hazard source areas.

[0023] Step S102: Obtain multi-dimensional sensing data related to the area type from each outdoor area.

[0024] In this embodiment of the application, multi-dimensional sensing data related to area types is obtained from various outdoor areas, including: ① If the area type is road inspection, the multi-dimensional sensing data obtained from the outdoor area includes: movement data of moving targets in the outdoor area and environmental data of the outdoor area.

[0025] For outdoor areas used in road patrols, two core types of sensing data need to be collected: mobile data of moving targets and environmental data. Mobile data collection relies on sensing devices deployed along the roadside to obtain the real-time location coordinates, speed, direction of movement, and trajectory characteristics of moving targets, covering the activity information of all dynamic targets such as patrol personnel and transport vehicles. Environmental data is collected through light sensors, temperature and humidity detectors, and visibility monitoring equipment to obtain parameters such as real-time light intensity, air temperature and humidity, and haze concentration within the area. During the collection process, each set of data must be timestamped and geocoded regionally. Simultaneously, a data filtering mechanism must be used to remove invalid data caused by equipment interference and signal drift, ensuring accurate correspondence between data and region / time.

[0026] ②If the area type is a process unit type, the multi-dimensional sensing data obtained from the outdoor area includes: environmental data of the outdoor area and the operating status of the outdoor area.

[0027] For outdoor areas with process installations, the focus is on collecting two types of correlated sensing data: environmental data and operational status data. The environmental data collection area is consistent with the road inspection area, covering key environmental parameters affecting operations and lighting, such as light intensity, temperature, humidity, and visibility, to reflect real-time environmental conditions within the area. Operational status data is obtained through equipment operation sensors, operation reporting systems, and personnel location tags, specifically including information such as whether construction work is underway in the area, the specific type of work, the number of personnel working, and the start and end times of the work. During data collection, a correlation mapping between environmental data and operational status data must be established, and the collection time of both types of data must be recorded simultaneously. A data verification mechanism must be used to ensure the authenticity and timeliness of the operational status data, avoiding misjudgments in lighting strategies due to data lag.

[0028] ③ If the area type is a hazard source type, the multi-dimensional perception data obtained from the outdoor area includes: the movement data of moving targets in the outdoor area and the operation status in the outdoor area.

[0029] For outdoor areas with hazardous sources, it is necessary to simultaneously collect movement data and operational status data of moving targets. These two types of data must be cross-checked to meet the safety management requirements of high-risk areas. Movement data collection, in addition to standard location, speed, and trajectory information, must also include identification data of the moving target to distinguish between workers, inspectors, and unauthorized personnel, and to determine if the target intends to intrude into the high-risk area. Operational status data must cover operational reporting information, implementation status of safety measures, and operational risk levels to clarify the compliance of operations within the area. Data priority must be set during the collection process to ensure the real-time transmission of operational status data and intrusion target data.

[0030] Step S103: Control the outdoor lighting equipment to perform corresponding lighting operations according to the multi-dimensional sensing data.

[0031] In this embodiment of the application, controlling the lighting equipment in the outdoor area to perform corresponding lighting operations according to multi-dimensional sensing data includes the following steps A1-A3: Step A1: If the area type is road inspection, determine the current location of the moving target based on the mobile data, and control the lighting equipment in the outdoor area that matches the current location to provide illumination.

[0032] If the area type is road inspection, the collected mobile data is first preprocessed to filter out abnormal coordinate points caused by signal interference. A Kalman filter algorithm is then used to smooth the continuous location data, improving its stability and accuracy. Subsequently, a unified coordinate system is established based on the digital map of the road inspection area. The preprocessed mobile data is then converted into specific coordinates within this system to determine the current location of the moving target.

[0033] Next, the lighting equipment deployment list is accessed. This list contains the installation coordinates, equipment numbers, and lighting coverage areas of all lighting equipment in the area. Using a spatial distance calculation model, lighting equipment whose coverage can reach the current location of the moving target is selected. Simultaneously, equipment operating status data is used to eliminate faulty or dormant equipment, ultimately determining the lighting equipment that best matches the current location. These devices are then activated, adjusting their initial brightness based on the ambient light intensity. If the nighttime light intensity is below 5 lux, the equipment operates at 100% rated power; if the evening or dawn light intensity is between 5-20 lux, it operates at 70% rated power, ensuring uniform lighting in the area where the moving target is located and meeting the requirements of the inspection operation.

[0034] Step A2: Predict the movement path of the moving target using movement data.

[0035] First, historical trajectory data is analyzed to identify the regular movement patterns of moving targets. For example, inspection personnel typically walk along the center line of the road, while transport vehicles follow specific transport routes. These patterns are used as the basic constraints for path prediction. Then, combined with real-time movement speed and direction data, multiple sets of predictions for the position coordinates within the next 5-10 seconds are made using a Long Short-Term Memory (LSTM) network in a temporal prediction algorithm.

[0036] Simultaneously, geographical constraints of the road inspection area are incorporated, such as road direction, turning angles, and obstacle distribution. Multiple predicted paths are then filtered and corrected, eliminating paths that do not match the actual road layout. Furthermore, environmental data such as wind speed and visibility are considered. If strong winds or heavy fog affect movement speed, the time dimension of the predicted path is adjusted. Ultimately, the most probable movement path that best matches the actual scenario is output, providing a precise basis for early activation of lighting equipment.

[0037] Step A3: Control the lighting devices in the outdoor area that match the movement path to illuminate sequentially.

[0038] Based on the predicted movement path, the path is divided into multiple continuous lighting segments in 10-meter increments. Combining this with the coverage area of ​​the lighting equipment, a corresponding lighting equipment group is determined for each segment, forming a "path segment - equipment group" correspondence. Subsequently, a timing logic for starting the lighting equipment is established. Based on the real-time movement speed of the moving target, the arrival time of the moving target at each segment is calculated, and a start command is sent to the corresponding equipment group 2-3 seconds in advance, achieving a continuous lighting effect where "the front light is on while the rear light is on."

[0039] During the lighting process, the system receives the latest location data of the moving target in real time, compares the deviation between the actual location and the predicted path, and if the deviation exceeds 5 meters, triggers a path re-prediction and updates the corresponding equipment group control commands to avoid lighting gaps. Simultaneously, the system dynamically adjusts the equipment brightness according to changes in ambient light intensity. When the moving target leaves a certain section of the road, the lighting equipment in that section will not be turned off, but will maintain 30% of its rated power for 30 seconds.

[0040] In this embodiment of the application, controlling the lighting equipment in the outdoor area to perform corresponding lighting operations according to multi-dimensional sensing data includes the following steps B1-B3: Step B1: If the area type is a process unit type, analyze the operation status to determine whether there is construction work in the outdoor area.

[0041] If the area type is a process unit, it is necessary to integrate multi-source data to conduct a comprehensive analysis of the operational status to determine whether construction work is underway. First, extract the operation-related data for the process unit area, including operation reporting information from the equipment operation and maintenance system, attendance records from the on-site operation platform, location data from the smart work badges worn by operators, and operating parameters of the equipment, such as pump start / stop status and valve opening / closing signals. If the equipment is in a non-operating, shut-down state, maintenance work may be in progress.

[0042] Simultaneously, combining the image recognition results from high-definition cameras deployed around the device, target detection algorithms are used to identify features such as the placement of work tools (e.g., wrenches, welding machines), the gathering of workers, or the erection of protective fences. This data is cross-validated. If the work report information matches the personnel location and equipment shutdown status, or if image recognition captures clear work features, construction work is confirmed. If all data shows no work-related traces and the equipment is in normal operating condition, construction work is determined not to exist. The entire process must exclude false alarms, such as short-term personnel stays or temporary tool storage, which are not work-related scenarios.

[0043] Step B2: If there is no construction work in the outdoor area, control the lighting equipment in the outdoor area to illuminate according to the first brightness value, and continuously detect whether there is construction work in the outdoor area. The first brightness value is the brightness value corresponding to the lighting equipment under the preset basic operating power consumption.

[0044] If it is determined that there is no construction work in the outdoor area, first call the power consumption-brightness mapping table of the lighting equipment, and adjust the lighting equipment to the first brightness value according to the parameters corresponding to the preset basic operating power consumption. This basic operating power consumption needs to be set in conjunction with the safety monitoring requirements of the process equipment. It is usually based on the standard of being able to clearly identify whether there are any abnormalities in the appearance of the equipment and meeting the basic visibility requirements for night patrols. This avoids both insufficient brightness leading to safety hazards and excessive power consumption causing energy waste.

[0045] While maintaining the initial lighting brightness, a continuous detection mechanism is activated, with a detection frequency set to once every 30 seconds. This includes real-time capture of updated information from the work reporting system, area entry records from smart work badges, sudden changes in equipment operating status, and real-time image frame analysis from cameras. A status report is generated after each detection. If the detection result still indicates no construction work, the initial lighting brightness is maintained. If abnormal data is detected, a further verification process is triggered to ensure a rapid response to work initiation.

[0046] Step B3: When construction work is detected in the outdoor area, the lighting equipment in the outdoor area is controlled to adjust from the first brightness value to the second brightness value and maintain the second brightness value for illumination, wherein the second brightness value is greater than the first brightness value.

[0047] When the continuous monitoring mechanism detects a clear signal of construction work, such as a new maintenance task added to the work reporting system, a smart work badge indicating that a worker has entered the operating area, fluctuations in equipment operating parameters consistent with the work process, or confirmation of work activity via image recognition, a brightness adjustment command is triggered. First, the control module of the lighting equipment reads the current operating brightness value. Combined with preset brightness gradient parameters, the adjustment rate from the first brightness value to the second brightness value is calculated. This is typically done at a uniform rate of 20% increase per second to avoid sudden brightness changes that could visually irritate the workers.

[0048] The second brightness value needs to meet the lighting requirements of different types of work. For example, instrument maintenance requires a local brightness of over 300 lux, while equipment hoisting requires uniform lighting throughout the entire area with a brightness of no less than 500 lux, and must be clearly greater than the first brightness value. After adjustment, the output brightness of the lighting equipment is monitored in real time. The data fed back by the brightness sensor is compared with the second brightness value. If a deviation occurs, it is corrected in time, and the lighting is maintained at this brightness until the work is completed and the brightness reduction process is initiated.

[0049] In this embodiment of the application, controlling the lighting equipment in the outdoor area to perform corresponding lighting operations according to multi-dimensional sensing data includes the following steps C1-C3: Step C1: If the area type is a hazard source type, analyze the work status to determine whether there is construction work in the outdoor area, and determine whether the moving target has the intention to move based on the movement data.

[0050] If the area type is a hazardous source, multi-dimensional data needs to be integrated for cross-validation, and the operational status and the movement intentions of the moving targets need to be comprehensively analyzed. Regarding the operational status, written data such as work reporting logs, equipment maintenance work orders, and safety measure acceptance records for the hazardous source area are extracted. This is combined with real-time data such as on-site access control check-in records, the positioning trajectory of workers' smart safety helmets, and equipment stop / start signals. Furthermore, image features captured by high-definition cameras, such as the erection of protective fences, the placement of work tools, and personnel gatherings, are used to assist in the judgment. If the multi-source data corroborate each other and confirms the existence of compliant work procedures, then it is determined that construction work exists in the outdoor area; if the data shows no trace of work, it is determined that no construction work exists.

[0051] To determine the movement intention of a moving target, based on the collected movement data, parameters such as the target's real-time location coordinates, movement speed, direction of movement, and distance changes from the boundary of the hazard source area are extracted. Combined with constraints such as road directions and no-entry sign locations in the regional geographic information, an intention judgment model is constructed. If the target continuously approaches the core area of ​​the hazard source with a stable speed, or deviates from the regular inspection route, it is determined that the moving target has the intention to enter the hazard source area; if the target's position is fixed, its speed is zero, or it moves along the regular route of the area boundary, it is determined that the moving target has no intention to move.

[0052] Step C2: If there is no construction work in the outdoor area and the moving target has no intention to move, control the lighting equipment in the outdoor area to illuminate at the lowest brightness value; or, if there is construction work in the outdoor area and / or the moving target has no intention to move, control the lighting equipment in the outdoor area to illuminate at the highest brightness value.

[0053] If there is no construction work in the outdoor area and the moving target has no intention of moving, call the brightness parameter configuration table of the lighting equipment and adjust the lighting equipment to the lowest brightness value. This brightness value is based on meeting the visibility requirements for safety monitoring in the hazardous source area. It can clearly identify the boundary markers of the area, minimize energy consumption, and avoid strong light from interfering with the surrounding environment.

[0054] If there is construction work in the outdoor area, or if the moving target intends to move, or both, the lighting equipment should be adjusted to the highest brightness value. This brightness value must comply with the explosion-proof safety regulations for hazardous areas and meet the lighting requirements for operation or target monitoring. For example, when the equipment is being repaired, a uniform lighting effect without blind spots must be achieved, and when monitoring targets, it must be ensured that the high-definition camera can clearly capture the target features.

[0055] During brightness adjustment, a smooth transition is employed to avoid visual stimulation caused by sudden brightness changes. Simultaneously, real-time monitoring of lighting equipment operating parameters, including power consumption, temperature, and brightness output, is performed and compared with preset parameters to ensure accurate brightness levels. Furthermore, a linkage mechanism for brightness adjustment is established. When switching to the highest brightness value, audible and visual warning devices in the area are simultaneously triggered, alerting nearby personnel to work or target movements in hazardous areas, thus creating a dual protection system of lighting and safety warnings.

[0056] In the embodiments of this application, such as Figure 2 As shown, the method also includes: Step S201: Real-time statistics of the cumulative energy consumption of lighting equipment in each outdoor area.

[0057] Real-time statistics on the cumulative energy consumption of lighting equipment in each outdoor area require relying on real-time operational data collected by the power consumption monitoring module of the lighting equipment, combined with the quantity, model, and operating status of the lighting equipment in the area for accurate calculation. First, for each lighting device in each outdoor area, its core parameters such as operating voltage, operating current, and operating time are collected in real time. The instantaneous power consumption and energy consumption per unit time of a single device are calculated using electrical formulas, and then accumulated according to the operating period of the device to obtain the cumulative energy consumption value of a single device. Subsequently, based on the geographical boundaries of the outdoor area, the cumulative energy consumption values ​​of all lighting equipment in the same area are summarized. Simultaneously, a time dimension for energy consumption statistics is established, supporting the collection and display of energy consumption data by hour, day, month, and other periods. During the statistical process, a data calibration mechanism must be set up to periodically compare the collected energy consumption data with the rated power consumption of the equipment, eliminating abnormal energy consumption data caused by equipment failure or signal interference, ensuring the accuracy of the statistical results. In addition, an energy consumption ledger needs to be established for each outdoor area, and the cumulative energy consumption data should be updated and stored in real time. The ledger should be linked to information such as area type, lighting strategy, and environmental conditions to provide data support for subsequent energy consumption quota early warning and energy-saving strategy adjustment.

[0058] Step S202: If the cumulative energy consumption matches the preset warning value of the energy consumption quota, then control the lighting equipment to provide lighting according to the energy-saving strategy.

[0059] If the cumulative energy consumption matches the preset warning value of the energy consumption quota, the corresponding energy-saving lighting strategy is activated, and differentiated energy consumption optimization measures are adopted for different area types. For road inspection areas, the predicted movement path is divided into multiple continuous lighting segments in 10-meter units. Based on the coverage of the lighting equipment, the lighting equipment group corresponding to each segment is determined, forming a "path segment - equipment group" correspondence. Matching means that the difference between the cumulative energy consumption calculated by the lighting system and the preset energy consumption quota warning value is less than the preset threshold, or the proportion of cumulative energy consumption to the energy consumption quota reaches the proportion range corresponding to the preset warning value. For example, if the preset warning value is 90% of the energy consumption quota and the preset threshold is 2%, when the cumulative energy consumption reaches the range of 88%-92% of the energy consumption quota, it will be determined that the two match. This determination is to trigger the energy-saving control conditions in advance before the lighting energy consumption is about to approach the upper limit of the energy consumption quota.

[0060] Subsequently, a timing logic for starting the lighting equipment is established. Based on the real-time movement speed of the moving target, the arrival time of the moving target at each road segment is calculated, and a start command is sent to the corresponding equipment group 2-3 seconds in advance to achieve a continuous lighting effect of "front lights on, rear lights on," avoiding energy waste caused by the simultaneous activation of equipment across the entire road segment. During the lighting process, the latest position data of the moving target is received in real time, and the deviation between the actual position and the predicted path is compared. If the deviation exceeds 5 meters, the path is re-predicted, and the corresponding equipment group control commands are updated to avoid lighting gaps.

[0061] Meanwhile, the equipment brightness is dynamically adjusted according to changes in ambient light intensity. When a moving target leaves a certain section of road, the lighting equipment in that section will not be turned off, but will maintain 30% of its rated power for 30 seconds. If no new moving target enters during this period, the lighting will gradually turn off. For process equipment and hazardous source areas, the brightness value of the basic lighting will be appropriately reduced, the response delay time of brightness adjustment will be extended, and the frequency of unnecessary brightness switching will be reduced. Under the premise of meeting basic safety visibility requirements, the energy consumption of the lighting equipment will be minimized to ensure that the cumulative energy consumption does not exceed the preset quota.

[0062] In the embodiments of this application, such as Figure 3 As shown, the method also includes: Step S301: Obtain historical operation time data for the outdoor area.

[0063] To obtain historical work period data for outdoor areas, it is necessary to sort out all work records within the preset period in the past, covering core information such as work type, start and end time, duration, frequency, and corresponding environmental conditions. First, extract structured data from the factory production scheduling system, equipment maintenance logs, and work reporting records, including the specific start and end times of each work, as well as the type of work, such as welding work in the process unit area or instrument maintenance work. Simultaneously, collect unstructured data, such as shift handover records of operators and supplementary information on work periods mentioned in on-site inspection logs.

[0064] Based on this, the collected data is standardized, with a unified 24-hour time format, and duplicate records and invalid data are removed, such as false alarms due to equipment malfunctions and reported work records that were not actually performed. The data is then categorized and archived according to region type, with a dedicated historical work period database established for each outdoor region. This database must be linked to environmental parameters corresponding to the work period, such as weather conditions and light intensity.

[0065] Step S302: Predict the probability of operations in future time periods based on historical operation time period data.

[0066] To predict the probability of future operations based on historical operation time period data, a combination of statistical analysis and time-series forecasting methods is needed, building upon an established historical operation time period database. First, the number of operations in each time period of the historical data is counted to calculate the operation frequency for different time periods. For example, the process unit area has a higher operation frequency from 10:00-12:00 and 14:00-16:00 on Monday to Friday, while the hazardous source area has a more concentrated operation during the equipment maintenance window in the latter half of each month.

[0067] Subsequently, a time-series prediction model is constructed. Historical work period data is input into the model in a time series format. Combined with constraints such as the periodicity of work types and factory production schedules, the probability of work occurring within a preset future time period is quantitatively calculated. During the model calculation process, more recent work data needs to be assigned higher weight; for example, work records from the past month have a higher weight than records from three months ago, to improve the timeliness of the prediction results. Finally, the probability values ​​for each future time period are output, presented as percentages.

[0068] Step S303: If the probability of operation exceeds a preset threshold, the lighting equipment is adjusted to a transition brightness value before the future time period arrives, wherein the transition brightness value is between the first brightness value and the second brightness value.

[0069] If the probability of operation exceeds a preset threshold, the brightness adjustment process of the lighting equipment must be initiated in advance before the predicted operation period arrives, adjusting the brightness value to a transitional brightness value, which is between the first and second brightness values. First, a preset threshold is determined, set according to the area type and operational safety requirements. For example, the operation probability threshold for process equipment areas is set at 60%, and for hazardous source areas at 50%. When the predicted probability of operation in the future period exceeds this threshold, the time interval from the current moment to the start of the predicted operation period is calculated. Based on the brightness adjustment response speed of the lighting equipment, the time point for adjusting the brightness in advance is determined, typically initiating the adjustment command 10-30 minutes in advance. The adjustment process uses a smooth transition method, gradually increasing the brightness according to a preset brightness gradient to avoid sudden brightness changes affecting the surrounding environment and equipment. For example, the brightness is increased by 5% per second, gradually adjusting from the first brightness value to the transitional brightness value.

[0070] The setting of the transition brightness value needs to balance energy saving and work preparation requirements. For example, if the first brightness value is 100 lux and the second brightness value is 500 lux, the transition brightness value can be set to 300 lux, which can meet the site inspection needs before work without wasting energy. After adjusting to the transition brightness value, maintain this brightness level stably while continuously monitoring changes in the work probability. If subsequent prediction data shows that the work probability drops below the threshold, the brightness is adjusted back to the first brightness value; if actual work is detected to have started, the brightness is directly increased to the second brightness value to ensure lighting needs during the work process.

[0071] This embodiment also provides a lighting control device for an outdoor area of ​​a factory, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0072] This embodiment provides a lighting control device for an outdoor area of ​​a factory, such as... Figure 4 As shown, it includes: The first acquisition module 401 is used to acquire the area type of each outdoor area of ​​the factory; The second acquisition module 402 is used to acquire multi-dimensional sensing data related to the area type from each outdoor area; The control module 403 is used to control the lighting equipment in the outdoor area to perform corresponding lighting operations based on multi-dimensional sensing data.

[0073] In this embodiment of the application, the second acquisition module 402 is specifically used to acquire the following multi-dimensional sensing data from the outdoor area if the area type is a road inspection type: the movement data of moving targets in the outdoor area and the environmental data of the outdoor area; if the area type is a process unit type: the environmental data of the outdoor area and the operation status in the outdoor area; if the area type is a hazard source type: the movement data of moving targets in the outdoor area and the operation status in the outdoor area.

[0074] In this embodiment of the application, the control module 403 is specifically used to determine the current location of the moving target based on the motion data if the area type is road inspection type, and control the lighting equipment in the outdoor area that matches the current location to provide illumination; predict the movement path of the moving target using the motion data; and control the lighting equipment in the outdoor area that matches the movement path to provide illumination in sequence.

[0075] In this embodiment, the control module 403 is specifically used to analyze the operation status and determine whether there is construction work in the outdoor area if the area type is a process device type; if there is no construction work in the outdoor area, the control module 403 controls the lighting equipment in the outdoor area to illuminate according to a first brightness value and continuously detects whether there is construction work in the outdoor area, wherein the first brightness value is the brightness value corresponding to the lighting equipment under a preset basic operating power consumption; until construction work is detected in the outdoor area, the control module 403 controls the lighting equipment in the outdoor area to adjust from the first brightness value to a second brightness value and maintains the second brightness value for illumination, wherein the second brightness value is greater than the first brightness value.

[0076] In this embodiment of the application, the control module 403 is specifically used to analyze the work status if the area type is a hazard source type, determine whether there is construction work in the outdoor area, and determine whether the moving target has the intention to move based on the movement data; if there is no construction work in the outdoor area and the moving target has no intention to move, then control the lighting equipment in the outdoor area to illuminate at the lowest brightness value; or, if there is construction work in the outdoor area and / or the moving target has no intention to move, then control the lighting equipment in the outdoor area to illuminate at the highest brightness value.

[0077] In this embodiment of the application, the device further includes: a statistics module, used to count the cumulative energy consumption of lighting equipment in each outdoor area in real time; if the cumulative energy consumption matches the preset warning value of the energy consumption quota, the lighting equipment is controlled to provide lighting according to the energy-saving strategy.

[0078] In this embodiment of the application, the device further includes: an adjustment module, used to acquire historical operation time data of the outdoor area; predict the operation probability in the future time period based on the historical operation time data; if the operation probability exceeds a preset threshold, adjust the lighting equipment to a transition brightness value before the future time period arrives, wherein the transition brightness value is between a first brightness value and a second brightness value.

[0079] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 5 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system).

[0080] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0081] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0082] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device as shown by a landing page for an app. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, which can be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0083] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0084] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0085] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0086] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for controlling lighting in an outdoor area of ​​a factory, characterized in that, The method includes: Obtain the area type of each outdoor area of ​​the factory; Obtain multidimensional sensing data associated with the area type from each of the outdoor areas; The lighting equipment in the outdoor area is controlled to perform corresponding lighting operations based on the multi-dimensional sensing data.

2. The method according to claim 1, characterized in that, The acquisition of multi-dimensional sensing data associated with the area type from each of the outdoor areas includes: If the area type is a road inspection type, the multi-dimensional sensing data obtained from the outdoor area includes: movement data of moving targets in the outdoor area and environmental data of the outdoor area; If the area type is a process unit type, the multi-dimensional sensing data obtained from the outdoor area includes: environmental data of the outdoor area and the operating status of the outdoor area; If the area type is a hazard source type, the multidimensional sensing data obtained from the outdoor area includes: movement data of moving targets in the outdoor area and the operation status in the outdoor area.

3. The method according to claim 2, characterized in that, The step of controlling the outdoor lighting equipment to perform corresponding lighting operations according to the multi-dimensional sensing data includes: If the area type is a road inspection type, the current location of the moving target is determined based on the movement data, and the lighting equipment in the outdoor area that matches the current location is controlled to provide illumination; The movement path of the moving target is predicted using the movement data; The lighting devices in the outdoor area that match the movement path are controlled to illuminate sequentially.

4. The method according to claim 2, characterized in that, The step of controlling the outdoor lighting equipment to perform corresponding lighting operations according to the multi-dimensional sensing data includes: If the area type is a process unit type, analyze the operation status to determine whether there is construction work in the outdoor area; If there is no construction work in the outdoor area, the lighting equipment in the outdoor area is controlled to illuminate according to the first brightness value, and the presence of construction work in the outdoor area is continuously detected. The first brightness value is the brightness value corresponding to the lighting equipment under the preset basic operating power consumption. When construction work is detected in the outdoor area, the lighting equipment in the outdoor area is controlled to adjust from a first brightness value to a second brightness value and maintain the second brightness value for illumination, wherein the second brightness value is greater than the first brightness value.

5. The method according to claim 2, characterized in that, The step of controlling the outdoor lighting equipment to perform corresponding lighting operations according to the multi-dimensional sensing data includes: If the area type is a hazard source type, analyze the operation status to determine whether there is construction work in the outdoor area, and determine whether the moving target has the intention to move based on the movement data; If there is no construction work in the outdoor area and the moving target has no intention to move, then the lighting equipment in the outdoor area is controlled to illuminate at the lowest brightness value; or, if there is construction work in the outdoor area and / or the moving target has no intention to move, then the lighting equipment in the outdoor area is controlled to illuminate at the highest brightness value.

6. The method according to claim 1, characterized in that, The method further includes: Real-time statistics of the cumulative energy consumption of lighting equipment in each outdoor area; If the cumulative energy consumption matches the preset warning value of the energy consumption quota, the lighting equipment will be controlled to provide lighting according to the energy-saving strategy.

7. The method according to claim 1, characterized in that, The method further includes: Obtain historical operation time data for the outdoor area; Predict the probability of operations in future periods based on historical operation time data; If the probability of operation exceeds a preset threshold, the lighting equipment will be adjusted to a transition brightness value before the future time period is reached, wherein the transition brightness value is between a first brightness value and a second brightness value.

8. A lighting control device for an outdoor area of ​​a factory, characterized in that, The device includes: The first acquisition module is used to acquire the area type of each outdoor area of ​​the factory; The second acquisition module is used to acquire multi-dimensional sensing data associated with the area type from each of the outdoor areas; The control module is used to control the lighting equipment in the outdoor area to perform corresponding lighting operations according to the multi-dimensional sensing data.

9. A computer device, characterized in that, include: A memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, the processor executing the computer instructions to perform the method of any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to perform the method of any one of claims 1 to 7.

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