use std::time::{Duration, Instant};
use std::collections::HashMap;
use std::sync::{Arc, Mutex};
pub const SASCAR_ACTUATION_LOOP_HZ: f64 = 1200.0; pub const KINETIC_SYNC_MAX_JITTER_US: u64 = 50; pub const SAFETY_INTERRUPT_MAX_US: u64 = 300; pub const PATH_CLEAR_FINALITY_MS: u64 = 2;
#[derive(Debug, Clone, Copy)]
pub struct VelocityVector {
pub x: f32, pub y: f32, pub z: f32, }
#[derive(Debug, Clone, Copy)]
pub struct AngularMomentum {
pub roll: f32, pub pitch: f32, pub yaw: f32, }
#[derive(Debug, Clone)]
pub struct MobilityPulseFrame {
pub timestamp: u64, pub node_id: [u8; 32], pub velocity: VelocityVector, pub angular: AngularMomentum, pub action_collapse: [f32; 3], pub path_bid: u64, pub rpki_signature: [u8; 32], }
#[derive(Debug, Clone)]
pub struct PathClearingRequest {
pub request_id: u128, pub requester_id: [u8; 32], pub target_trajectory: Vec<[f32; 3]>, pub clearance_radius: f32, pub bid_per_meter: u64, pub urgency_level: u8, pub iqa_seal: Option<[u8; 64]>, pub expiration_time: u64, }
#[derive(Debug, Clone)]
pub struct CollisionVector {
pub detection_time: u64, pub predicted_collision_time: u64, pub collision_point: [f32; 3], pub relative_velocity: f32, pub avoidance_vector: [f32; 3], pub priority_level: u8, }
pub struct KineticSyncEngine {
local_state: Arc<Mutex<LocalMotionState>>,
neighbor_states: Arc<Mutex<HashMap<[u8; 32], NeighborMotionState>>>,
last_sync_time: Instant,
}
#[derive(Debug, Clone)]
pub struct LocalMotionState {
pub position: [f32; 3], pub velocity: VelocityVector,
pub angular: AngularMomentum,
pub acceleration: [f32; 3], pub motion_entropy: f32, pub last_pulse_time: u64,
}
#[derive(Debug, Clone)]
pub struct NeighborMotionState {
pub last_pulse: MobilityPulseFrame,
pub received_time: u64,
pub trust_score: f32, pub predicted_trajectory: Vec<[f32; 3]>, }
impl KineticSyncEngine {
pub fn new() -> Self {
Self {
local_state: Arc::new(Mutex::new(LocalMotionState {
position: [0.0, 0.0, 0.0],
velocity: VelocityVector { x: 0.0, y: 0.0, z: 0.0 },
angular: AngularMomentum { roll: 0.0, pitch: 0.0, yaw: 0.0 },
acceleration: [0.0, 0.0, 0.0],
motion_entropy: 0.0,
last_pulse_time: 0,
})),
neighbor_states: Arc::new(Mutex::new(HashMap::new())),
last_sync_time: Instant::now(),
}
}
pub fn generate_mobility_pulse(&mut self, node_id: [u8; 32]) -> MobilityPulseFrame {
let now = std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.unwrap()
.as_nanos() as u64;
let state = self.local_state.lock().unwrap();
MobilityPulseFrame {
timestamp: now,
node_id,
velocity: state.velocity,
angular: state.angular,
action_collapse: [0.0, 0.0, 0.0], path_bid: 0, rpki_signature: [0u8; 32], }
}
pub fn process_neighbor_pulse(&mut self, pulse: MobilityPulseFrame) -> Result<(), String> {
let now = std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.unwrap()
.as_nanos() as u64;
let jitter = (now as i64 - pulse.timestamp as i64).abs() as u64;
if jitter > KINETIC_SYNC_MAX_JITTER_US * 1000 {
return Err(format!("运动同步抖动过大: {}ns > {}ns",
jitter, KINETIC_SYNC_MAX_JITTER_US * 1000));
}
let mut states = self.neighbor_states.lock().unwrap();
states.insert(pulse.node_id, NeighborMotionState {
last_pulse: pulse.clone(),
received_time: now,
trust_score: 1.0, predicted_trajectory: vec![], });
Ok(())
}
pub fn calculate_cooperative_adjustment(&self) -> Option<[f32; 3]> {
let states = self.neighbor_states.lock().unwrap();
if states.is_empty() {
return None;
}
let mut avg_velocity = [0.0f32; 3];
let mut count = 0;
for (_, state) in states.iter() {
avg_velocity[0] += state.last_pulse.velocity.x;
avg_velocity[1] += state.last_pulse.velocity.y;
avg_velocity[2] += state.last_pulse.velocity.z;
count += 1;
}
if count > 0 {
avg_velocity[0] /= count as f32;
avg_velocity[1] /= count as f32;
avg_velocity[2] /= count as f32;
Some(avg_velocity)
} else {
None
}
}
}
pub struct PathAuctionEngine {
active_auctions: Arc<Mutex<HashMap<u128, PathAuction>>>,
auction_history: Arc<Mutex<Vec<AuctionRecord>>>,
}
#[derive(Debug, Clone)]
pub struct PathAuction {
pub request: PathClearingRequest,
pub start_time: u64,
pub participants: Vec<[u8; 32]>, pub highest_bid: u64,
pub highest_bidder: Option<[u8; 32]>,
pub status: AuctionStatus,
}
#[derive(Debug, Clone, PartialEq)]
pub enum AuctionStatus {
Open,
Closed,
Settled,
Cancelled,
}
#[derive(Debug, Clone)]
pub struct AuctionRecord {
pub auction_id: u128,
pub request_id: u128,
pub winner: [u8; 32],
pub winning_bid: u64,
pub clearing_time_ms: u64,
pub settlement_time: u64,
}
impl PathAuctionEngine {
pub fn new() -> Self {
Self {
active_auctions: Arc::new(Mutex::new(HashMap::new())),
auction_history: Arc::new(Mutex::new(Vec::new())),
}
}
pub fn initiate_path_clearing(&mut self, request: PathClearingRequest) -> Result<u128, String> {
let auction_id = rand::random::<u128>();
let now = std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.unwrap()
.as_nanos() as u64;
let auction = PathAuction {
request: request.clone(),
start_time: now,
participants: Vec::new(),
highest_bid: 0,
highest_bidder: None,
status: AuctionStatus::Open,
};
let mut auctions = self.active_auctions.lock().unwrap();
auctions.insert(auction_id, auction);
Ok(auction_id)
}
pub fn submit_bid(&mut self, auction_id: u128, bidder_id: [u8; 32], bid_amount: u64) -> Result<bool, String> {
let mut auctions = self.active_auctions.lock().unwrap();
if let Some(auction) = auctions.get_mut(&auction_id) {
if auction.status != AuctionStatus::Open {
return Err("拍卖已关闭".to_string());
}
if bid_amount > auction.highest_bid {
auction.highest_bid = bid_amount;
auction.highest_bidder = Some(bidder_id);
if !auction.participants.contains(&bidder_id) {
auction.participants.push(bidder_id);
}
Ok(true) } else {
Ok(false) }
} else {
Err("拍卖不存在".to_string())
}
}
pub fn settle_auction(&mut self, auction_id: u128) -> Result<AuctionRecord, String> {
let now = std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.unwrap()
.as_nanos() as u64;
let mut auctions = self.active_auctions.lock().unwrap();
if let Some(auction) = auctions.get_mut(&auction_id) {
if auction.status != AuctionStatus::Open {
return Err("拍卖已关闭".to_string());
}
let elapsed_ms = (now - auction.start_time) / 1_000_000;
if elapsed_ms > PATH_CLEAR_FINALITY_MS {
auction.status = AuctionStatus::Cancelled;
return Err("拍卖超时".to_string());
}
let winner = match auction.highest_bidder {
Some(id) => id,
None => return Err("无有效竞价".to_string()),
};
let record = AuctionRecord {
auction_id,
request_id: auction.request.request_id,
winner,
winning_bid: auction.highest_bid,
clearing_time_ms: elapsed_ms,
settlement_time: now,
};
auction.status = AuctionStatus::Settled;
let mut history = self.auction_history.lock().unwrap();
history.push(record.clone());
auctions.remove(&auction_id);
Ok(record)
} else {
Err("拍卖不存在".to_string())
}
}
}
pub struct CollisionAvoidanceSystem {
collision_buffer: Arc<Mutex<Vec<CollisionVector>>>,
last_detection_time: Instant,
avoidance_strategies: HashMap<u8, AvoidanceStrategy>,
}
#[derive(Debug, Clone)]
pub struct AvoidanceStrategy {
pub priority: u8,
pub response_time_us: u64,
pub adjustment_vector: [f32; 3],
pub energy_cost: f32,
}
impl CollisionAvoidanceSystem {
pub fn new() -> Self {
let mut strategies = HashMap::new();
strategies.insert(255, AvoidanceStrategy {
priority: 255,
response_time_us: 100, adjustment_vector: [0.0, -5.0, 0.0], energy_cost: 100.0,
});
strategies.insert(200, AvoidanceStrategy {
priority: 200,
response_time_us: 200, adjustment_vector: [0.0, -2.0, 0.0], energy_cost: 50.0,
});
strategies.insert(100, AvoidanceStrategy {
priority: 100,
response_time_us: 300, adjustment_vector: [0.0, -1.0, 0.0], energy_cost: 20.0,
});
Self {
collision_buffer: Arc::new(Mutex::new(Vec::new())),
last_detection_time: Instant::now(),
avoidance_strategies: strategies,
}
}
pub fn detect_collision_risk(
&mut self,
self_position: [f32; 3],
self_velocity: VelocityVector,
neighbor_position: [f32; 3],
neighbor_velocity: VelocityVector,
detection_time: u64,
) -> Option<CollisionVector> {
let distance = Self::calculate_distance(self_position, neighbor_position);
let relative_velocity = Self::calculate_relative_velocity(self_velocity, neighbor_velocity);
if distance < 10.0 && relative_velocity > 5.0 {
let time_to_collision = distance / relative_velocity;
let predicted_collision_time = detection_time + (time_to_collision * 1_000_000_000.0) as u64;
if time_to_collision < 1.0 { let collision_vector = CollisionVector {
detection_time,
predicted_collision_time,
collision_point: Self::calculate_midpoint(self_position, neighbor_position),
relative_velocity,
avoidance_vector: self.calculate_avoidance_vector(self_position, neighbor_position),
priority_level: self.calculate_priority_level(time_to_collision, relative_velocity),
};
let mut buffer = self.collision_buffer.lock().unwrap();
buffer.push(collision_vector.clone());
self.last_detection_time = Instant::now();
return Some(collision_vector);
}
}
None
}
pub fn get_avoidance_strategy(&self, priority: u8) -> Option<&AvoidanceStrategy> {
self.avoidance_strategies.get(&priority)
}
pub fn handle_safety_interrupt(&self, collision_vector: &CollisionVector) -> Result<[f32; 3], String> {
let start_time = Instant::now();
let strategy = match self.get_avoidance_strategy(collision_vector.priority_level) {
Some(s) => s,
None => return Err("无对应规避策略".to_string()),
};
let elapsed = start_time.elapsed();
let elapsed_us = elapsed.as_micros() as u64;
if elapsed_us > SAFETY_INTERRUPT_MAX_US {
return Err(format!("安全中断响应超时: {}µs > {}µs",
elapsed_us, SAFETY_INTERRUPT_MAX_US));
}
Ok(strategy.adjustment_vector)
}
fn calculate_distance(a: [f32; 3], b: [f32; 3]) -> f32 {
let dx = a[0] - b[0];
let dy = a[1] - b[1];
let dz = a[2] - b[2];
(dx * dx + dy * dy + dz * dz).sqrt()
}
fn calculate_relative_velocity(self_v: VelocityVector, neighbor_v: VelocityVector) -> f32 {
let dx = self_v.x - neighbor_v.x;
let dy = self_v.y - neighbor_v.y;
let dz = self_v.z - neighbor_v.z;
(dx * dx + dy * dy + dz * dz).sqrt()
}
fn calculate_midpoint(a: [f32; 3], b: [f32; 3]) -> [f32; 3] {
[(a[0] + b[0]) / 2.0, (a[1] + b[1]) / 2.0, (a[2] + b[2]) / 2.0]
}
fn calculate_avoidance_vector(&self, self_pos: [f32; 3], neighbor_pos: [f32; 3]) -> [f32; 3] {
let dx = neighbor_pos[0] - self_pos[0];
let dy = neighbor_pos[1] - self_pos[1];
[-dy, dx, 0.0]
}
fn calculate_priority_level(&self, time_to_collision: f32, relative_velocity: f32) -> u8 {
if time_to_collision < 0.1 && relative_velocity > 20.0 {
255 } else if time_to_collision < 0.5 && relative_velocity > 10.0 {
200 } else {
100 }
}
}
pub struct SascarEngine {
kinetic_sync: KineticSyncEngine,
path_auction: PathAuctionEngine,
collision_avoidance: CollisionAvoidanceSystem,
node_id: [u8; 32],
is_active: bool,
}
impl SascarEngine {
pub fn new(node_id: [u8; 32]) -> Self {
Self {
kinetic_sync: KineticSyncEngine::new(),
path_auction: PathAuctionEngine::new(),
collision_avoidance: CollisionAvoidanceSystem::new(),
node_id,
is_active: true,
}
}
pub fn main_loop(&mut self) -> Result<(), String> {
if !self.is_active {
return Err("引擎未激活".to_string());
}
let pulse = self.kinetic_sync.generate_mobility_pulse(self.node_id);
if let Some(adjustment) = self.kinetic_sync.calculate_cooperative_adjustment() {
}
self.update_local_state();
Ok(())
}
pub fn request_path_clearing(
&mut self,
trajectory: Vec<[f32; 3]>,
clearance_radius: f32,
bid_per_meter: u64,
urgency: u8,
) -> Result<u128, String> {
let request = PathClearingRequest {
request_id: rand::random::<u128>(),
requester_id: self.node_id,
target_trajectory: trajectory,
clearance_radius,
bid_per_meter,
urgency_level: urgency,
iqa_seal: None, expiration_time: 0, };
self.path_auction.initiate_path_clearing(request)
}
pub fn handle_collision_detection(
&mut self,
self_position: [f32; 3],
self_velocity: VelocityVector,
neighbor_position: [f32; 3],
neighbor_velocity: VelocityVector,
) -> Result<Option<[f32; 3]>, String> {
let now = std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.unwrap()
.as_nanos() as u64;
if let Some(collision_vector) = self.collision_avoidance.detect_collision_risk(
self_position,
self_velocity,
neighbor_position,
neighbor_velocity,
now,
) {
match self.collision_avoidance.handle_safety_interrupt(&collision_vector) {
Ok(avoidance_vector) => Ok(Some(avoidance_vector)),
Err(e) => Err(e),
}
} else {
Ok(None)
}
}
fn update_local_state(&mut self) {
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_kinetic_sync_pulse_generation() {
let mut engine = KineticSyncEngine::new();
let node_id = [1u8; 32];
let pulse = engine.generate_mobility_pulse(node_id);
assert_eq!(pulse.node_id, node_id);
assert!(pulse.timestamp > 0);
}
#[test]
fn test_path_auction_lifecycle() {
let mut engine = PathAuctionEngine::new();
let node_id = [1u8; 32];
let request = PathClearingRequest {
request_id: 123,
requester_id: node_id,
target_trajectory: vec![[0.0, 0.0, 0.0], [100.0, 0.0, 0.0]],
clearance_radius: 2.0,
bid_per_meter: 1000,
urgency_level: 200,
iqa_seal: None,
expiration_time: 0,
};
let auction_id = engine.initiate_path_clearing(request).unwrap();
let is_highest = engine.submit_bid(auction_id, [2u8; 32], 1500).unwrap();
assert!(is_highest);
let is_highest2 = engine.submit_bid(auction_id, [3u8; 32], 1200).unwrap();
assert!(!is_highest2);
}
#[test]
fn test_collision_avoidance_priority() {
let system = CollisionAvoidanceSystem::new();
let strategy = system.get_avoidance_strategy(255).unwrap();
assert_eq!(strategy.priority, 255);
assert!(strategy.response_time_us <= 100);
let strategy = system.get_avoidance_strategy(100).unwrap();
assert_eq!(strategy.priority, 100);
assert!(strategy.response_time_us <= 300);
}
#[test]
fn test_sascar_engine_creation() {
let node_id = [1u8; 32];
let engine = SascarEngine::new(node_id);
assert_eq!(engine.node_id, node_id);
assert!(engine.is_active);
}
}
#[cfg(test)]
mod benchmarks {
use super::*;
use std::time::Instant;
#[test]
fn benchmark_kinetic_sync_latency() {
let mut engine = KineticSyncEngine::new();
let node_id = [1u8; 32];
let start = Instant::now();
let pulse = engine.generate_mobility_pulse(node_id);
let elapsed = start.elapsed();
assert!(elapsed.as_micros() < 50, "运动脉冲生成延迟过大: {}µs", elapsed.as_micros());
}
#[test]
fn benchmark_collision_response_time() {
let system = CollisionAvoidanceSystem::new();
let collision_vector = CollisionVector {
detection_time: 0,
predicted_collision_time: 100_000_000, collision_point: [0.0, 0.0, 0.0],
relative_velocity: 20.0,
avoidance_vector: [0.0, -1.0, 0.0],
priority_level: 255,
};
let start = Instant::now();
let result = system.handle_safety_interrupt(&collision_vector);
let elapsed = start.elapsed();
assert!(result.is_ok(), "安全中断处理失败: {:?}", result.err());
assert!(elapsed.as_micros() < 300, "安全中断响应时间过大: {}µs", elapsed.as_micros());
}
}
fn main() {
println!("=== RFC-009 SASCAR 实现示例 ===");
let node_id = [0xAB; 32];
let mut sascar = SascarEngine::new(node_id);
println!("1. 初始化 SASCAR 引擎 - 节点ID: {:?}", &node_id[0..8]);
println!("2. 执行主循环 (模拟)...");
match sascar.main_loop() {
Ok(_) => println!(" 主循环执行成功"),
Err(e) => println!(" 主循环执行失败: {}", e),
}
println!("3. 发起路径清算请求...");
match sascar.request_path_clearing(
vec![[0.0, 0.0, 0.0], [1000.0, 0.0, 0.0]], 3.0, 5000, 200, ) {
Ok(auction_id) => println!(" 拍卖ID: {}", auction_id),
Err(e) => println!(" 请求失败: {}", e),
}
println!("4. 模拟碰撞检测...");
let self_pos = [0.0, 0.0, 0.0];
let self_vel = VelocityVector { x: 10.0, y: 0.0, z: 0.0 };
let neighbor_pos = [5.0, 1.0, 0.0];
let neighbor_vel = VelocityVector { x: 10.0, y: 0.0, z: 0.0 };
match sascar.handle_collision_detection(self_pos, self_vel, neighbor_pos, neighbor_vel) {
Ok(Some(avoidance)) => println!(" 检测到碰撞风险,规避向量: {:?}", avoidance),
Ok(None) => println!(" 未检测到碰撞风险"),
Err(e) => println!(" 碰撞检测失败: {}", e),
}
println!("=== 示例完成 ===");
}