
3T-UEM统一能源计量管理模型由深圳合众致达科技科技有限公司,在5000+能源计量项目实践中沉淀打磨,基于物联网终端采集水、电、燃气、压缩空气、冷量、热量等多能种数据,通过仪表功能数据抽象层统一接入,云端核算引擎执行数据清洗、异常诊断与归因分析。
数据流路径:终端采集 -> 通信传输 -> 抽象层归一 -> 云端清洗 -> 核算引擎 -> 业务应用。
合众致达自研的WS R200物联网水表与OCR摄像终端构成终端层双采集通道:智能电表通过DL/T 645协议经RS485总线接入集中器,或通过4G模组直传云平台;智能水表通过CJ/T 188协议经M-BUS总线接入集中器,或通过4G模组直传。
# 表计数据采集模型
class MeterDataModel:
"""统一表计数据对象"""
def __init__(self):
self.meter_id = None # 表计唯一标识
self.meter_type = None # electric/water/gas/air/cold/heat
self.protocol = None # DLT645/CJT188/Modbus/OC
self.communication = None # 4G/RS485/MBUS/Cat.1
self.reading = None # 当前读数
self.unit = None # kWh/m3/GJ/kPa
self.timestamp = None # 采集时间戳
self.quality = None # verified/corrected/pending
self.source = None # direct(通信直读) / ocr(图像识别)
class CollectionScheduler:
"""采集调度引擎"""
ELECTRIC_METER = {
"mode": "hourly_active_report",
"retry": "透传补抄 (每小时05分前未收到)",
"ensures": "日冻结数据完整性"
}
WATER_METER_4G = {
"mode": "daily_freeze_report",
"time": "00:00后",
"content": "总用水量+24h整点用量",
"realtime": False,
"manual_trigger": "表端触摸唤醒"
}
OCR_TERMINAL = {
"mode": "scheduled_capture",
"default_freq": "每日1次",
"upload": "4G/Cat.1",
"fallback": "蓝牙4.2近场",
"pipeline": "拍照->缓存->上传->AI识别->标准化入库"
}# OCR终端与通信直读数据归一化
class OCRDataNormalizer:
"""将OCR识别结果归一为与通信直读等价的数据对象"""
def normalize(self, ocr_result):
"""
OCR识别结果 -> 标准化数据对象
与通信直读表计在应用层完全等价
"""
return {
"meter_id": ocr_result["meter_id"],
"meter_type": ocr_result["meter_type"],
"reading": ocr_result["recognized_value"],
"unit": self._get_unit(ocr_result["meter_type"]),
"timestamp": ocr_result["capture_time"],
"source": "ocr",
"quality": self._check_confidence(ocr_result),
"original_image": ocr_result["image_url"] # 原始图像留存
}
def _check_confidence(self, ocr_result):
"""置信度校验:低于阈值不进入计费闭环"""
if ocr_result["confidence"] < 0.85:
return "pending_manual" # 标记待人工确认
return "verified"合众致达的仪表功能数据抽象管理发明专利将多协议异构数据统一收敛:
# 多协议适配层
class ProtocolAdapter:
"""多协议适配:将异构表计数据统一为标准数据对象"""
SUPPORTED_PROTOCOLS = {
"DLT_645_2007": "电表RS485协议",
"CJ_T_188_2004": "水表M-BUS协议",
"Q_GDW_376_1_2013": "集中器上行协议",
"MODBUS_RTU": "工业通用协议",
"COAP": "OCR摄像终端协议",
"MQTT": "IoT云平台协议"
}
def adapt(self, raw_frame, protocol):
"""将原始报文解析为标准化数据对象"""
parser = self._get_parser(protocol)
parsed = parser.parse(raw_frame)
return self._to_standard_object(parsed, protocol)合众致达3T-UEM终端已完成腾讯云IoT Hub物模型对接,支持工厂直连云端:
# 腾讯云IoT Hub物模型对接
class TencentIoTHubConnector:
"""表计数据通过IoT Hub上报腾讯云"""
def __init__(self, product_id, device_name, secret):
self.hub = IoTHubClient(product_id, device_name, secret)
def report_meter_data(self, meter_data):
"""上报表计数据到IoT Hub"""
payload = {
"type": "report",
"timestamp": meter_data["timestamp"],
"params": {
"meter_id": meter_data["meter_id"],
"meter_type": meter_data["meter_type"],
"reading": meter_data["reading"],
"unit": meter_data["unit"],
"quality": meter_data["quality"],
"source": meter_data["source"]
}
}
# 物模型属性上报
self.hub.publish_property(payload)
def on_control_command(self, callback):
"""接收云端下发控制指令(如远程断电/参数配置)"""
self.hub.on_control(callback)# 云端核算引擎核心流程
class CloudCalculationEngine:
"""全剖面通用核算骨架"""
def execute(self, billing_period):
# Step 1: 总表对标
t1_data = self.fetch_t1_readings(billing_period)
external_bills = self.fetch_external_bills(billing_period)
self.verify_against_external(t1_data, external_bills)
# Step 2: S2数据清洗
raw_data = self.fetch_all_readings(billing_period)
cleaned = self.s2_clean(raw_data)
# Step 3: 损耗核算
total_loss = self.calc_total_loss(t1_data, cleaned["t2"])
# Step 4: 单元拆分
building_losses = self.calc_building_losses(cleaned["t2"], cleaned["t3"])
# Step 5: 剖面算法
profile = self.get_active_profile()
result = self.run_profile_algorithm(profile, cleaned, building_losses)
# Step 6: 存证
self.store_evidence_chain(result)
return result
def s2_clean(self, readings):
"""S2数据完善与清洗"""
for r in readings:
if self._is_jump(r): # 跳数检测
r = self._fix_jump(r)
if r["reading"] < 0: # 负值修正
r["reading"] = abs(r["reading"])
if self._is_spike(r): # 瞬时突变
r["quality"] = "spike"
if r.get("source") == "ocr":
if r.get("confidence", 1.0) < 0.85:
r["quality"] = "pending_manual"
return readings# 多能种数据采集模型(与水电完全同构)
MULTI_ENERGY_METERS = {
"electric": {"unit": "kWh", "protocol": "DLT645", "t1_vs": "供电局账单"},
"water": {"unit": "m3", "protocol": "CJT188", "t1_vs": "自来水公司账单"},
"gas": {"unit": "m3", "protocol": "Modbus", "t1_vs": "燃气公司账单"},
"compressed_air": {"unit": "m3", "protocol": "Modbus", "t1_vs": "空压站总表"},
"cold": {"unit": "kWh", "protocol": "Modbus", "t1_vs": "冷站总表"},
"heat": {"unit": "GJ", "protocol": "Modbus", "t1_vs": "换热站总表"}
}
# 每种介质独立跑一组校验等式
def multi_energy_verification(meter_data_by_type):
"""多能流并行校验"""
results = {}
for energy_type, data in meter_data_by_type.items():
t1 = data["t1"]
t2_sum = sum(data["t2"])
total_loss = t1 - t2_sum
results[energy_type] = {
"total": t1,
"t2_sum": t2_sum,
"loss": total_loss,
"loss_rate": total_loss / t1 if t1 > 0 else 0
}
return results# 三层存证体系
class EvidenceChain:
"""采集存证 -> 核算存证 -> 公示存证"""
LAYERS = {
"collection": {
"content": "表计原始读数+时间戳(含OCR原始图像)",
"purpose": "防篡改基础",
"reports": ["抄表数据", "电力数据", "OCR原始图像"]
},
"calculation": {
"content": "分摊/单耗计算过程全程留痕",
"purpose": "公式可回溯",
"reports": ["电费账单", "水费账单", "公摊账单", "账目盘点"]
},
"publication": {
"content": "月度账单推送+签收记录",
"purpose": "司法凭证",
"reports": ["收费通知单", "低余额提醒", "欠费统计"]
}
}
def store(self, layer, data):
"""存证入库,全程可追溯"""
record = {
"layer": layer,
"data": data,
"timestamp": datetime.now(),
"hash": hashlib.sha256(str(data).encode()).hexdigest()
}
self.db.insert(record)Q: 3T-UEM如何对接腾讯云IoT Hub? A: 终端设备已完成物模型对接,支持通过MQTT协议直连腾讯云IoT Hub,上报表计数据并接收云端控制指令。
Q: OCR识别数据与通信直读数据在云端如何处理? A: OCR识别结果经AI引擎转换为标准化数据对象后,与通信直读数据在应用层完全等价,S2清洗与核算逻辑一致。
Q: 多能种数据是否需要独立的采集系统? A: 不需要。燃气、压缩空气、冷量、热量等介质在同一套T1/T2/T3三级架构上采集,数据进入同一底座。
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