#![allow(
clippy::approx_constant,
clippy::useless_vec,
clippy::len_zero,
clippy::unnecessary_cast,
clippy::redundant_closure,
clippy::too_many_arguments,
clippy::type_complexity,
clippy::needless_borrow,
clippy::enum_variant_names,
clippy::upper_case_acronyms,
clippy::inconsistent_digit_grouping,
clippy::unit_cmp,
clippy::assertions_on_constants,
clippy::iter_on_single_items,
clippy::expect_fun_call,
clippy::redundant_pattern_matching,
variant_size_differences,
clippy::absurd_extreme_comparisons,
clippy::nonminimal_bool,
clippy::for_kv_map,
clippy::needless_range_loop,
clippy::single_match,
clippy::collapsible_if,
clippy::needless_return,
clippy::redundant_clone,
clippy::map_entry,
clippy::match_single_binding,
clippy::bool_comparison,
clippy::derivable_impls,
clippy::manual_range_contains,
clippy::needless_borrows_for_generic_args,
clippy::manual_map,
clippy::vec_init_then_push,
clippy::identity_op,
clippy::manual_flatten,
clippy::single_char_pattern,
clippy::search_is_some,
clippy::option_map_unit_fn,
clippy::while_let_on_iterator,
clippy::clone_on_copy,
clippy::box_collection,
clippy::redundant_field_names,
clippy::ptr_arg,
clippy::large_enum_variant,
clippy::match_ref_pats,
clippy::needless_pass_by_value,
clippy::unused_unit,
clippy::let_and_return,
clippy::suspicious_else_formatting,
clippy::manual_strip,
clippy::match_like_matches_macro,
clippy::from_over_into,
clippy::wrong_self_convention,
clippy::inherent_to_string,
clippy::new_without_default,
clippy::unnecessary_wraps,
clippy::field_reassign_with_default,
clippy::manual_find,
clippy::unnecessary_lazy_evaluations,
clippy::should_implement_trait,
clippy::missing_safety_doc,
clippy::unusual_byte_groupings,
clippy::bool_assert_comparison,
clippy::zero_prefixed_literal,
clippy::await_holding_lock,
clippy::manual_saturating_arithmetic,
clippy::explicit_counter_loop,
clippy::needless_lifetimes,
clippy::single_component_path_imports,
clippy::uninlined_format_args,
clippy::iter_cloned_collect,
clippy::manual_str_repeat,
clippy::excessive_precision,
clippy::precedence,
clippy::unnecessary_literal_unwrap
)]
use oxicode::{decode_from_slice, encode_to_vec, Decode, Encode};
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct Position3D {
x: f64,
y: f64,
z: f64,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct Dimensions {
width: f64,
height: f64,
depth: f64,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct MachineSpec {
manufacturer: String,
model_number: String,
rated_power_kw: f64,
max_rpm: u32,
voltage: u16,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct Machine {
id: u64,
name: String,
position: Position3D,
dimensions: Dimensions,
spec: MachineSpec,
operational: bool,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct ConveyorSegment {
segment_id: u32,
start: Position3D,
end: Position3D,
speed_mps: f64,
belt_width_mm: u16,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct Conveyor {
id: u64,
name: String,
segments: Vec<ConveyorSegment>,
reversible: bool,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct Workstation {
id: u32,
label: String,
operator_count: u8,
machines: Vec<Machine>,
input_conveyor: Option<Conveyor>,
output_conveyor: Option<Conveyor>,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct FactoryFloor {
floor_id: String,
building: String,
stations: Vec<Workstation>,
area_sqm: f64,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct AlarmCondition {
tag: String,
threshold: f64,
comparison: String,
severity: u8,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct AlarmGroup {
group_name: String,
conditions: Vec<AlarmCondition>,
sub_groups: Vec<AlarmGroup>,
enabled: bool,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct ScadaAlarmTree {
plant_section: String,
root_groups: Vec<AlarmGroup>,
total_alarm_count: u32,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct OeeMetrics {
availability: f64,
performance: f64,
quality: f64,
overall: f64,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct ReliabilityKpis {
mtbf_hours: f64,
mttr_hours: f64,
failure_count: u32,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct ShiftKpi {
shift_id: String,
oee: OeeMetrics,
reliability: ReliabilityKpis,
units_produced: u64,
scrap_count: u32,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct ProductionKpiReport {
line_id: String,
report_date: String,
shifts: Vec<ShiftKpi>,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct PidTuning {
kp: f64,
ki: f64,
kd: f64,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct ControlLoop {
tag: String,
setpoint: f64,
process_variable: f64,
output_percent: f64,
tuning: PidTuning,
in_auto: bool,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct ProcessControlUnit {
unit_name: String,
loops: Vec<ControlLoop>,
cascade_pairs: Vec<(String, String)>,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct PowerMeterReading {
meter_id: String,
active_kw: f64,
reactive_kvar: f64,
power_factor: f64,
voltage_v: f64,
current_a: f64,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct EnergyZone {
zone_name: String,
meters: Vec<PowerMeterReading>,
sub_zones: Vec<EnergyZone>,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct EnergyProfile {
facility_id: String,
period: String,
zones: Vec<EnergyZone>,
total_kwh: f64,
peak_demand_kw: f64,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct SimulationParameter {
name: String,
value: f64,
min_bound: f64,
max_bound: f64,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct SimulationScenario {
scenario_id: String,
description: String,
parameters: Vec<SimulationParameter>,
factory_snapshot: FactoryFloor,
duration_seconds: u64,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct SensorConfig {
sensor_id: String,
sensor_type: String,
sample_rate_hz: u32,
calibration_offset: f64,
calibration_gain: f64,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct FusionStage {
stage_name: String,
algorithm: String,
input_sensors: Vec<String>,
parameters: Vec<(String, f64)>,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct SensorFusionPipeline {
pipeline_id: String,
sensors: Vec<SensorConfig>,
stages: Vec<FusionStage>,
output_tag: String,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct ProtocolAdapter {
protocol: String,
port: u16,
poll_interval_ms: u32,
tags: Vec<String>,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct DataRoute {
source_tag: String,
destination: String,
transform: Option<String>,
buffer_size: u32,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct EdgeGatewayConfig {
gateway_id: String,
firmware: String,
adapters: Vec<ProtocolAdapter>,
routes: Vec<DataRoute>,
local_storage_mb: u32,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct TrendSample {
timestamp_ms: u64,
value: f64,
quality: u8,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct TrendTag {
tag_name: String,
engineering_unit: String,
samples: Vec<TrendSample>,
}
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct TrendArchive {
archive_id: String,
start_ms: u64,
end_ms: u64,
tags: Vec<TrendTag>,
compression_ratio: f64,
}
fn pos(x: f64, y: f64, z: f64) -> Position3D {
Position3D { x, y, z }
}
fn dims(w: f64, h: f64, d: f64) -> Dimensions {
Dimensions {
width: w,
height: h,
depth: d,
}
}
fn make_machine(id: u64, name: &str, operational: bool) -> Machine {
Machine {
id,
name: name.to_string(),
position: pos(id as f64 * 2.0, 0.0, 0.0),
dimensions: dims(2.0, 3.0, 1.5),
spec: MachineSpec {
manufacturer: "Siemens".to_string(),
model_number: format!("SM-{id}"),
rated_power_kw: 22.0,
max_rpm: 3600,
voltage: 480,
},
operational,
}
}
fn make_conveyor(id: u64, name: &str, seg_count: u32) -> Conveyor {
let segments = (0..seg_count)
.map(|i| ConveyorSegment {
segment_id: i,
start: pos(i as f64, 0.0, 1.0),
end: pos(i as f64 + 1.0, 0.0, 1.0),
speed_mps: 0.5,
belt_width_mm: 600,
})
.collect();
Conveyor {
id,
name: name.to_string(),
segments,
reversible: false,
}
}
fn make_workstation(id: u32, machine_count: usize) -> Workstation {
let machines = (0..machine_count)
.map(|i| make_machine(id as u64 * 100 + i as u64, &format!("M-{id}-{i}"), true))
.collect();
Workstation {
id,
label: format!("WS-{id}"),
operator_count: 2,
machines,
input_conveyor: Some(make_conveyor(id as u64 * 10, "InConv", 3)),
output_conveyor: Some(make_conveyor(id as u64 * 10 + 1, "OutConv", 2)),
}
}
fn make_factory_floor() -> FactoryFloor {
FactoryFloor {
floor_id: "F-001".to_string(),
building: "Plant-A".to_string(),
stations: vec![make_workstation(1, 2), make_workstation(2, 3)],
area_sqm: 5000.0,
}
}
fn roundtrip<T: Encode + Decode + std::fmt::Debug + PartialEq>(val: &T, ctx: &str) {
let bytes = encode_to_vec(val).unwrap_or_else(|_| panic!("encode {ctx}"));
let (decoded, _): (T, usize) =
decode_from_slice(&bytes).unwrap_or_else(|_| panic!("decode {ctx}"));
assert_eq!(val, &decoded, "roundtrip failed for {ctx}");
}
#[test]
fn test_simulation_scenario_roundtrip() {
let scenario = SimulationScenario {
scenario_id: "SIM-001".to_string(),
description: "Throughput optimization under peak demand".to_string(),
parameters: vec![
SimulationParameter {
name: "conveyor_speed".to_string(),
value: 0.75,
min_bound: 0.1,
max_bound: 2.0,
},
SimulationParameter {
name: "buffer_capacity".to_string(),
value: 50.0,
min_bound: 10.0,
max_bound: 200.0,
},
],
factory_snapshot: make_factory_floor(),
duration_seconds: 86400,
};
roundtrip(&scenario, "simulation scenario");
}
#[test]
fn test_sensor_fusion_pipeline_roundtrip() {
let pipeline = SensorFusionPipeline {
pipeline_id: "FUSE-VIB-01".to_string(),
sensors: vec![
SensorConfig {
sensor_id: "ACC-X".to_string(),
sensor_type: "accelerometer".to_string(),
sample_rate_hz: 10000,
calibration_offset: -0.02,
calibration_gain: 1.003,
},
SensorConfig {
sensor_id: "ACC-Y".to_string(),
sensor_type: "accelerometer".to_string(),
sample_rate_hz: 10000,
calibration_offset: 0.01,
calibration_gain: 0.998,
},
SensorConfig {
sensor_id: "PROX-1".to_string(),
sensor_type: "proximity".to_string(),
sample_rate_hz: 1000,
calibration_offset: 0.0,
calibration_gain: 1.0,
},
],
stages: vec![
FusionStage {
stage_name: "Resample".to_string(),
algorithm: "linear_interpolation".to_string(),
input_sensors: vec![
"ACC-X".to_string(),
"ACC-Y".to_string(),
"PROX-1".to_string(),
],
parameters: vec![("target_rate".to_string(), 10000.0)],
},
FusionStage {
stage_name: "Kalman".to_string(),
algorithm: "extended_kalman_filter".to_string(),
input_sensors: vec!["ACC-X".to_string(), "ACC-Y".to_string()],
parameters: vec![
("process_noise".to_string(), 0.01),
("measurement_noise".to_string(), 0.05),
],
},
],
output_tag: "FUSED_POSITION".to_string(),
};
roundtrip(&pipeline, "sensor fusion pipeline");
}
#[test]
fn test_edge_gateway_config_roundtrip() {
let gw = EdgeGatewayConfig {
gateway_id: "GW-PLANT-A-01".to_string(),
firmware: "EdgeOS 3.4.1".to_string(),
adapters: vec![
ProtocolAdapter {
protocol: "Modbus-TCP".to_string(),
port: 502,
poll_interval_ms: 100,
tags: vec!["PLC1_REG0".to_string(), "PLC1_REG1".to_string()],
},
ProtocolAdapter {
protocol: "OPC-UA".to_string(),
port: 4840,
poll_interval_ms: 500,
tags: vec!["Line1.Speed".to_string(), "Line1.Temp".to_string()],
},
ProtocolAdapter {
protocol: "MQTT".to_string(),
port: 1883,
poll_interval_ms: 1000,
tags: vec!["env/temperature".to_string(), "env/humidity".to_string()],
},
],
routes: vec![
DataRoute {
source_tag: "PLC1_REG0".to_string(),
destination: "cloud/timeseries".to_string(),
transform: Some("scale(0.01)".to_string()),
buffer_size: 1024,
},
DataRoute {
source_tag: "Line1.Speed".to_string(),
destination: "local/historian".to_string(),
transform: None,
buffer_size: 512,
},
],
local_storage_mb: 4096,
};
roundtrip(&gw, "edge gateway config");
}
#[test]
fn test_trend_archive_roundtrip() {
let archive = TrendArchive {
archive_id: "ARCH-2026-03".to_string(),
start_ms: 1709251200000,
end_ms: 1711929600000,
tags: vec![
TrendTag {
tag_name: "TT-101".to_string(),
engineering_unit: "degC".to_string(),
samples: vec![
TrendSample {
timestamp_ms: 1709251200000,
value: 72.1,
quality: 192,
},
TrendSample {
timestamp_ms: 1709251260000,
value: 72.3,
quality: 192,
},
TrendSample {
timestamp_ms: 1709251320000,
value: 71.9,
quality: 192,
},
],
},
TrendTag {
tag_name: "PT-201".to_string(),
engineering_unit: "bar".to_string(),
samples: vec![
TrendSample {
timestamp_ms: 1709251200000,
value: 3.45,
quality: 192,
},
TrendSample {
timestamp_ms: 1709251260000,
value: 3.47,
quality: 192,
},
],
},
],
compression_ratio: 4.2,
};
roundtrip(&archive, "trend archive");
}
#[test]
fn test_cross_domain_edge_fusion_roundtrip() {
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct EdgeFusionDeployment {
gateway: EdgeGatewayConfig,
pipelines: Vec<SensorFusionPipeline>,
deployment_name: String,
}
let deployment = EdgeFusionDeployment {
gateway: EdgeGatewayConfig {
gateway_id: "GW-EDGE-FUSION".to_string(),
firmware: "EdgeOS 4.0.0".to_string(),
adapters: vec![ProtocolAdapter {
protocol: "EtherNet/IP".to_string(),
port: 44818,
poll_interval_ms: 50,
tags: vec!["DriveSpeed".to_string(), "DriveTorque".to_string()],
}],
routes: vec![DataRoute {
source_tag: "DriveSpeed".to_string(),
destination: "fusion/input".to_string(),
transform: None,
buffer_size: 2048,
}],
local_storage_mb: 8192,
},
pipelines: vec![SensorFusionPipeline {
pipeline_id: "FUSE-DRIVE-01".to_string(),
sensors: vec![SensorConfig {
sensor_id: "DRIVE-SPD".to_string(),
sensor_type: "encoder".to_string(),
sample_rate_hz: 5000,
calibration_offset: 0.0,
calibration_gain: 1.0,
}],
stages: vec![FusionStage {
stage_name: "LowPass".to_string(),
algorithm: "butterworth_2nd".to_string(),
input_sensors: vec!["DRIVE-SPD".to_string()],
parameters: vec![("cutoff_hz".to_string(), 500.0)],
}],
output_tag: "DRIVE_FILTERED".to_string(),
}],
deployment_name: "Drive Monitor v1".to_string(),
};
roundtrip(&deployment, "edge fusion deployment");
}
#[test]
fn test_full_plant_digital_twin_roundtrip() {
#[derive(Debug, PartialEq, Clone, Encode, Decode)]
struct PlantDigitalTwin {
plant_name: String,
floor: FactoryFloor,
kpi_report: ProductionKpiReport,
alarm_tree: ScadaAlarmTree,
control: ProcessControlUnit,
energy: EnergyProfile,
trend: TrendArchive,
}
let twin = PlantDigitalTwin {
plant_name: "SmartFactory-Alpha".to_string(),
floor: FactoryFloor {
floor_id: "F-TWIN".to_string(),
building: "Main".to_string(),
stations: vec![make_workstation(1, 1)],
area_sqm: 3000.0,
},
kpi_report: ProductionKpiReport {
line_id: "TWIN-LINE".to_string(),
report_date: "2026-03-15".to_string(),
shifts: vec![ShiftKpi {
shift_id: "Day".to_string(),
oee: OeeMetrics {
availability: 0.96,
performance: 0.91,
quality: 0.995,
overall: 0.96 * 0.91 * 0.995,
},
reliability: ReliabilityKpis {
mtbf_hours: 1440.0,
mttr_hours: 0.75,
failure_count: 0,
},
units_produced: 8200,
scrap_count: 5,
}],
},
alarm_tree: ScadaAlarmTree {
plant_section: "Twin-Section".to_string(),
root_groups: vec![AlarmGroup {
group_name: "Temperature".to_string(),
conditions: vec![AlarmCondition {
tag: "TT-TWIN".to_string(),
threshold: 90.0,
comparison: "GT".to_string(),
severity: 4,
}],
sub_groups: vec![],
enabled: true,
}],
total_alarm_count: 1,
},
control: ProcessControlUnit {
unit_name: "Twin-Reactor".to_string(),
loops: vec![ControlLoop {
tag: "TIC-TWIN".to_string(),
setpoint: 200.0,
process_variable: 199.5,
output_percent: 58.0,
tuning: PidTuning {
kp: 1.5,
ki: 0.08,
kd: 0.2,
},
in_auto: true,
}],
cascade_pairs: vec![],
},
energy: EnergyProfile {
facility_id: "FAC-TWIN".to_string(),
period: "2026-03".to_string(),
zones: vec![EnergyZone {
zone_name: "Main-Hall".to_string(),
meters: vec![PowerMeterReading {
meter_id: "EM-TWIN".to_string(),
active_kw: 300.0,
reactive_kvar: 80.0,
power_factor: 0.97,
voltage_v: 480.0,
current_a: 390.0,
}],
sub_zones: vec![],
}],
total_kwh: 216000.0,
peak_demand_kw: 420.0,
},
trend: TrendArchive {
archive_id: "ARCH-TWIN".to_string(),
start_ms: 1710500000000,
end_ms: 1710586400000,
tags: vec![TrendTag {
tag_name: "TT-TWIN".to_string(),
engineering_unit: "degC".to_string(),
samples: vec![
TrendSample {
timestamp_ms: 1710500000000,
value: 199.5,
quality: 192,
},
TrendSample {
timestamp_ms: 1710500060000,
value: 200.1,
quality: 192,
},
],
}],
compression_ratio: 3.8,
},
};
roundtrip(&twin, "full plant digital twin");
}