#!/usr/bin/env python3 """ LED Wall Control System with 8K Resolution Support Skill: Visual Systems Engineering Version: 1.0 Author: Visual Systems Team """ import json import math import hashlib import datetime from typing import Dict, List, Optional, Any, Union from dataclasses import dataclass from collections import defaultdict @dataclass class LEDPanel: """Individual LED panel specification.""" panel_id: str panel_type: str # P2.5, P3.0, P4.0 (pixel pitch) resolution: Dict[str, int] # width, height in pixels physical_size: Dict[str, float] # width, height in mm brightness: int # nits refresh_rate: int # Hz power_consumption: float # watts @dataclass class LEDWallConfiguration: """Complete LED wall configuration.""" wall_id: str total_resolution: Dict[str, int] # width, height panel_arrangement: List[List[str]] # 2D array of panel IDs controller_type: str video_input: List[str] processing_capability: Dict[str, Any] class LEDWallControlSystem: """Advanced LED wall control system with 8K support.""" def __init__(self): self.panel_catalog = self._initialize_panel_catalog() self.wall_configurations = {} self.active_walls = {} def _initialize_panel_catalog(self) -> Dict[str, LEDPanel]: """Initialize LED panel catalog.""" return { "panel_p2.5": LEDPanel( panel_id="panel_p2.5", panel_type="P2.5", resolution={"width": 320, "height": 160}, physical_size={"width": 800.0, "height": 400.0}, # mm brightness=5000, # nits refresh_rate=3840, # Hz power_consumption=120.0 # watts ), "panel_p3.0": LEDPanel( panel_id="panel_p3.0", panel_type="P3.0", resolution={"width": 256, "height": 128}, physical_size={"width": 768.0, "height": 384.0}, brightness=4500, refresh_rate=2880, power_consumption=95.0 ), "panel_p4.0": LEDPanel( panel_id="panel_p4.0", panel_type="P4.0", resolution={"width": 200, "height": 100}, physical_size={"width": 800.0, "height": 400.0}, brightness=4000, refresh_rate=1920, power_consumption=75.0 ) } def design_led_wall(self, requirements: Dict[str, Any]) -> LEDWallConfiguration: """Design LED wall based on requirements.""" target_resolution = requirements.get("target_resolution", "8K") # 4K, 8K wall_width = requirements.get("width", 10.0) # meters wall_height = requirements.get("height", 3.0) # meters viewing_distance = requirements.get("viewing_distance", 10.0) # meters content_type = requirements.get("content_type", "video") # video, graphics, mixed # Calculate required pixel pitch based on viewing distance optimal_pixel_pitch = self._calculate_optimal_pixel_pitch(viewing_distance) # Select panel type if optimal_pixel_pitch <= 2.5: panel_type = "panel_p2.5" elif optimal_pixel_pitch <= 3.5: panel_type = "panel_p3.0" else: panel_type = "panel_p4.0" selected_panel = self.panel_catalog[panel_type] # Calculate panel arrangement panel_arrangement = self._calculate_panel_arrangement( wall_width, wall_height, selected_panel ) # Calculate total resolution total_width = len(panel_arrangement[0]) * selected_panel.resolution["width"] total_height = len(panel_arrangement) * selected_panel.resolution["height"] # Select appropriate controller if total_width >= 7680 and total_height >= 4320: # 8K or higher controller_type = "8K_controller_pro" else: controller_type = "4K_controller_standard" # Generate wall configuration wall_id = hashlib.sha256( f"{wall_width}_{wall_height}_{panel_type}_{datetime.datetime.now().isoformat()}".encode() ).hexdigest()[:12] configuration = LEDWallConfiguration( wall_id=wall_id, total_resolution={"width": total_width, "height": total_height}, panel_arrangement=panel_arrangement, controller_type=controller_type, video_input=self._determine_video_inputs(total_width, total_height), processing_capability=self._calculate_processing_capability( total_width, total_height, content_type ) ) self.wall_configurations[wall_id] = configuration return configuration def _calculate_optimal_pixel_pitch(self, viewing_distance: float) -> float: """Calculate optimal pixel pitch based on viewing distance.""" # Rule of thumb: pixel pitch (mm) = viewing distance (meters) * 1000 / 2000 # For comfortable viewing, viewer should be at least 2000x the pixel pitch optimal_pitch = (viewing_distance * 1000) / 2000 return optimal_pitch def _calculate_panel_arrangement(self, wall_width: float, wall_height: float, panel: LEDPanel) -> List[List[str]]: """Calculate optimal panel arrangement for given dimensions.""" panel_width_m = panel.physical_size["width"] / 1000.0 # Convert mm to meters panel_height_m = panel.physical_size["height"] / 1000.0 panels_horizontal = math.ceil(wall_width / panel_width_m) panels_vertical = math.ceil(wall_height / panel_height_m) arrangement = [] for row in range(panels_vertical): panel_row = [] for col in range(panels_horizontal): panel_id = f"{panel.panel_id}_{row}_{col}" panel_row.append(panel_id) arrangement.append(panel_row) return arrangement def _determine_video_inputs(self, width: int, height: int) -> List[str]: """Determine required video inputs based on resolution.""" inputs = [] if width >= 7680 and height >= 4320: inputs.extend(["HDMI_2.1", "DisplayPort_1.4", "12G_SD"]) elif width >= 3840 and height >= 2160: inputs.extend(["HDMI_2.0", "DisplayPort_1.2", "6G_SD"]) else: inputs.extend(["HDMI_1.4", "DisplayPort_1.1", "3G_SD"]) # Add backup inputs inputs.extend(["IP_stream", "NDI_HX"]) return inputs def _calculate_processing_capability(self, width: int, height: int, content_type: str) -> Dict[str, Any]: """Calculate required processing capabilities.""" total_pixels = width * height # Calculate processing requirements base_processing = total_pixels / 1000000 # Megapixels scaling_factor = 1.5 if content_type == "graphics" else 1.0 return { "pixel_processing_megapixels": base_processing * scaling_factor, "color_processing_bits": 10 if width >= 3840 else 8, "chroma_subsampling": "4:4:4" if content_type == "graphics" else "4:2:2", "hdr_support": True, "wide_gamut": True, "refresh_rate_capability": 120 if width >= 3840 else 60 } def generate_control_mapping(self, wall_id: str) -> Dict[str, Any]: """Generate control mapping for LED wall.""" if wall_id not in self.wall_configurations: return {"error": "Wall configuration not found"} config = self.wall_configurations[wall_id] mapping = { "wall_id": wall_id, "controller_mapping": self._generate_controller_mapping(config), "panel_addressing": self._generate_panel_addressing(config), "signal_routing": self._generate_signal_routing(config), "calibration_points": self._generate_calibration_points(config) } return mapping def _generate_controller_mapping(self, config: LEDWallConfiguration) -> Dict[str, Any]: """Generate controller port mapping.""" panels_count = sum(len(row) for row in config.panel_arrangement) # Calculate required controller ports panels_per_port = 128 # Typical LED controller capacity required_ports = math.ceil(panels_count / panels_per_port) controller_mapping = { "controller_type": config.controller_type, "total_panels": panels_count, "panels_per_port": panels_per_port, "required_ports": required_ports, "port_assignments": [] } # Generate port assignments current_panel = 0 for port in range(required_ports): panels_on_port = min(panels_per_port, panels_count - current_panel) controller_mapping["port_assignments"].append({ "port_number": port + 1, "panel_start": current_panel, "panel_end": current_panel + panels_on_port - 1, "panel_count": panels_on_port }) current_panel += panels_on_port return controller_mapping def _generate_panel_addressing(self, config: LEDWallConfiguration) -> List[Dict[str, Any]]: """Generate panel addressing scheme.""" addressing = [] for row_idx, row in enumerate(config.panel_arrangement): for col_idx, panel_id in enumerate(row): addressing.append({ "panel_id": panel_id, "row": row_idx, "column": col_idx, "network_address": f"192.168.1.{100 + len(addressing)}", "dmx_address": 1 + len(addressing) * 3, # 3 DMX channels per panel "data_port": len(addressing) % 8 # 8 ports per receiver }) return addressing def _generate_signal_routing(self, config: LEDWallConfiguration) -> Dict[str, Any]: """Generate signal routing configuration.""" total_bandwidth = (config.total_resolution["width"] * config.total_resolution["height"] * 30 * 24) / 1000000 # Mbps (30fps, 24-bit) return { "input_sources": config.video_input, "total_bandwidth_mbps": total_bandwidth, "redundancy_mode": "automatic_failover", "processing_order": ["color_correction", "scaling", "mapping", "output"], "backup_path": True } def _generate_calibration_points(self, config: LEDWallConfiguration) -> List[Dict[str, Any]]: """Generate calibration point configuration.""" calibration_points = [] rows = len(config.panel_arrangement) cols = len(config.panel_arrangement[0]) if rows > 0 else 0 # Generate grid of calibration points for row in range(0, rows, 2): # Every 2 rows for col in range(0, cols, 2): # Every 2 columns calibration_points.append({ "point_id": f"cal_{row}_{col}", "panel_row": row, "panel_col": col, "target_brightness": 100, # percent "target_coordinates": self._calculate_calibration_coordinates(row, col, config) }) return calibration_points def _calculate_calibration_coordinates(self, row: int, col: int, config: LEDWallConfiguration) -> Dict[str, int]: """Calculate pixel coordinates for calibration point.""" panel_height = config.total_resolution["height"] // len(config.panel_arrangement) panel_width = config.total_resolution["width"] // len(config.panel_arrangement[0]) return { "x": col * panel_width + panel_width // 2, "y": row * panel_height + panel_height // 2 } def calculate_performance_metrics(self, wall_id: str) -> Dict[str, Any]: """Calculate performance metrics for LED wall.""" if wall_id not in self.wall_configurations: return {"error": "Wall configuration not found"} config = self.wall_configurations[wall_id] # Calculate total power consumption total_panels = sum(len(row) for row in config.panel_arrangement) panel_power = 120.0 # Average power per panel controller_power = 500.0 # Controller power processing_power = 200.0 # Video processing power total_power = (total_panels * panel_power) + controller_power + processing_power # Calculate brightness and contrast metrics max_brightness = 5000 # nits for premium panels contrast_ratio = 5000:1 # Typical for LED walls # Calculate latency processing_latency = 1 # ms for signal processing display_latency = 2 # ms for LED refresh total_latency = processing_latency + display_latency return { "wall_id": wall_id, "resolution": config.total_resolution, "total_panels": total_panels, "power_consumption": { "total_watts": total_power, "panels_watts": total_panels * panel_power, "controller_watts": controller_power, "processing_watts": processing_power, "power_per_panel": panel_power }, "visual_metrics": { "max_brightness_nits": max_brightness, "contrast_ratio": contrast_ratio, "refresh_rate_hz": 3840, "color_bit_depth": 10, "color_gamut": "DCI-P3" }, "performance_metrics": { "latency_ms": total_latency, "bandwidth_gbps": (total_power * 0.001), # Simplified calculation "processing_load_percent": (total_panels / 1000) * 100, "thermal_output_watts": total_power * 0.8 # 80% becomes heat }, "reliability_metrics": { "mtbf_hours": 50000, # Mean time between failures "operating_temperature_range": "0°C to 45°C", "humidity_tolerance": "10% to 90% RH" } } def test_led_wall_system(): """Test the LED wall control system.""" led_system = LEDWallControlSystem() # Test requirements requirements = { "target_resolution": "8K", "width": 12.0, "height": 4.0, "viewing_distance": 15.0, "content_type": "graphics" } # Design LED wall config = led_system.design_led_wall(requirements) print(f"✅ LED wall designed: {config.wall_id}") # Generate control mapping mapping = led_system.generate_control_mapping(config.wall_id) print(f"✅ Control mapping generated for {len(mapping['panel_addressing'])} panels") # Calculate performance metrics metrics = led_system.calculate_performance_metrics(config.wall_id) print(f"✅ Performance metrics calculated: {metrics['total_panels']} total panels") return { "config": config, "mapping": mapping, "metrics": metrics } if __name__ == "__main__": test_result = test_led_wall_system() print(f"LED Wall System Test Result: {test_result['config'].wall_id}")