# 页面实时数据来源 1. 冷机调优大屏实时数据如下： 图1冷机调优大屏实时数据 ![](https://support.huaweicloud.com/bestpractice-ocsmartcampus/zh-cn_image_0000002496209085.png "点击放大") 2. 页面SCOP数据如下，该数据来源冷站绑定的冷源系统设备的点位。先通过冷站id调用：《API参考》中的"查询单个冷站信息"接口，返回结果如下： ``` { "site_name": "坂田G区G3冷源系统", "site_id": "196a45737829249d1eb681c8", "zone_id": "1968487eaac0eacb5c2a0197", "calendar_id": "196a3a7bd4391a3770d3f009", "config": { "cold_system_type": "WORK_PARK", "min_running_cop": 2, "cooling_water_min_supply_temp": 20, "cooling_water_max_supply_temp": 37, "chiller_power_critical_value": 226.4, "season_model_config": { "judge_condition": "weightedTemp", "weighted_temp": 70, "seasons": { "WINTER": { "min_value": 0, "max_value": 8 }, "TRANSITION": { "min_value": 8, "max_value": 16 }, "SUMMER": { "min_value": 16, "max_value": 38 } } }, "morning_peak_time_config": { "start_time": "08:00:00", "end_time": "09:30:00" } }, "init_algorithm_status": "ACTIVE", "devices": { "coolingTower": [ "CT-HW-SZ-G3-B2F-001", "CT-HW-SZ-G3-B2F-002" ], "coolDownWaterPump": [ "CDWP-HW-SZ-G3-B2F-001", "CDWP-HW-SZ-G3-B2F-002", "CDWP-HW-SZ-G3-B2F-003" ], "chilledWaterMainPipe": [ "CWMP-HW-SZ-G3-B2F-001" ], "coolDownWaterMainPipe": [ "CDWMP-HW-SZ-G3-B2F-001" ], "chillerWaterPump": [ "CWP-HW-SZ-G3-B2F-001", "CWP-HW-SZ-G3-B2F-002", "CWP-HW-SZ-G3-B2F-003" ], "coldSourceSys": [ "CSS-HW-SZ-G3-B2F-001" ---冷源系统的设备ID ], "chiller": [ "CH-HW-SZ-G3-B2F-001", "CH-HW-SZ-G3-B2F-002" ] } } ``` 接着根据响应结果获取到的冷源系统对应的设备ID，调用《API参考》中的"查询设备属性快照"接口，返回结果如下，对应SCOP指标用黑色字体标识出来了： ``` { "device_id": "CSS-HW-SZ-G3-B2F-001", "services": [ { "service_id": "InfoService", "properties": { "DaySystemCoolingCapacity": 3517.37, "DayPower": 2637.5, "DaySystemCOP": 4.69, ---逐日SCOP "MonthSystemCoolingCapacity": 51526.97, "MonthPower": 38637.5, "MonthSystemCOP": 4.69, ----逐月SCOP "YearSystemCoolingCapacity": 173277.97, "YearPower": 129932.5, "YearSystemCOP": 4.69, ----逐年SCOP "TotalCoolingCapacity": 200.0, "TotalPower": 150.0, "SystemCOP": 4.689333333333333 ---瞬时SCOP } } ], "metadata": [ { "service_id": "InfoService", "properties": { "YearSystemCoolingCapacity": { "timestamp": "2025-06-11T09:35:00.000Z" }, "TotalPower": { "timestamp": "2025-06-11T09:42:06.713Z" }, "DaySystemCOP": { "timestamp": "2025-06-11T09:35:00.000Z" }, "MonthSystemCOP": { "timestamp": "2025-06-11T09:35:00.000Z" }, "YearSystemCOP": { "timestamp": "2025-06-11T09:35:00.000Z" }, "TotalCoolingCapacity": { "timestamp": "2025-06-11T09:42:06.713Z" }, "DaySystemCoolingCapacity": { "timestamp": "2025-06-11T09:35:00.000Z" }, "YearPower": { "timestamp": "2025-06-11T09:35:00.000Z" }, "DayPower": { "timestamp": "2025-06-11T09:35:00.000Z" }, "MonthSystemCoolingCapacity": { "timestamp": "2025-06-11T09:35:00.000Z" }, "SystemCOP": { "timestamp": "2025-06-11T09:41:59.429Z" }, "MonthPower": { "timestamp": "2025-06-11T09:35:00.000Z" } } } ] } ``` 3. 页面上下面这些数据除了"10分钟前负载率"这个指标，其它指标都是通过查询"查询冷站的属性快照"的接口获取。 ![](https://support.huaweicloud.com/bestpractice-ocsmartcampus/zh-cn_image_0000002463169994.png "点击放大") 查询成功后该接口的响应结果如下，指标用红色字体标识出来了： ``` { "site_id": "196a45737829249d1eb681c8", "properties": { "chiller": { "runningNumber": 2, "bigRunningNumber": 0, "smallRunningNumber": 2, "meanRunningLoad": 0.0, ---当前负载率 "sumActivePower": 140.0, "maxActivePower": 80.0 }, "coolingTower": { "runningNumber": 2 }, "chillerWaterPump": { "runningNumber": 3, "meanFrequency": 42.0 }, "secondChillerWaterPump": { "maxFrequency": 0.0, "meanFrequency": 0.0 }, "coolDownWaterPump": { "runningNumber": 3 }, "chilledWaterMainPipe": { "firstSupplyWaterTemp": 19.0, ---供水温度（冷冻水总管实时供回水温度） "firstReturnWaterTemp": 24.0, ---回水温度（冷冻水总管实时供回水温度） "firstSupplyAndReturnTempDiff": 5.0, ----供回水温度差（冷冻水总管实时供回水温度） "firstSupplyWaterPressure": 8.0, ---供水压力（冷冻水总管供回水压力） "firstReturnWaterPressure": 5.0, ---回水压力（冷冻水总管供回水压力） "firstSupplyAndReturnPressureDiff": 3.0, ---供回水压差（冷冻水总管供回水压力） "secondSupplyWaterTemp": 0.0, "secondReturnWaterTemp": 0.0, "secondSupplyAndReturnTempDiff": 0.0, "firstSecondSupplyWaterTempDiff": -19.0, ---供水温度差（冷冻水总管实时供回水温度） "firstSecondReturnWaterTempDiff": -24.0, ---回水温度差（冷冻水总管实时供回水温度） "totalCoolingCapacity": 200.0 }, "coolDownWaterMainPipe": { "supplyWaterTemp": 25.0, ---供水温度（冷却水总管供回水温度） "returnWaterTemp": 30.0, ---回水温度（冷却水总管供回水温度） "supplyAndReturnTempDiff": 5.0 }, "calendar": { "isWorkingDay": true, "isWorkingDayAsInt": 1 }, "weather": { "currentUVIntensity": 9.0, "currentTemp": 32.0, "currentWetTemp": 27.087890625, "currentHumidity": 69.0, "meanWetTemp": 25.765462239583332, ---湿球温度 "meanTemp": 29.708333333333332, "meanUVIntensity": 3.2083333333333335, "momentWeightTemp": 29.6025390625, "meanWeightTemp": 28.52547200520833, "meanHumidity": 74.375, "momentUVIntensity": 9.0, "momentTemp": 31.0, "momentWetTemp": 26.341796875, "momentHumidity": 70.0, "currentSeasonCode": "SUMMER" } } } ``` 4. 冷机总功率预测对应的数据通过查询"冷站功率滚动预测"接口获取对应数据，对应请求体如下： ``` { "end_time": "2025-07-25T15:59:59.000Z", "start_time": "2025-07-24T16:00:00.000Z" } ``` 响应结果如下，对应指标用红色字体标识出来了： ``` { "add_times": [], "sub_times": [], "all_day_times": [ "00:00", "00:30", "01:00", "01:30", "02:00", "02:30", "03:00", "03:30", "04:00", "04:30", "05:00", "05:30", "06:00", "06:30", "07:00", "07:30", "08:00", "08:30", "09:00", "09:30", "10:00", "10:30", "11:00", "11:30", "12:00", "12:30", "13:00", "13:30", "14:00", "14:30", "15:00", "15:30", "16:00", "16:30", "17:00", "17:30", "18:00", "18:30", "19:00", "19:30", "20:00", "20:30", "21:00", "21:30", "22:00", "22:30", "23:00", "23:30", "24:00" ], "real_power_list": [ ---实际功率 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null ], "predict_power_list": [ ---预测功率 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, 140.0, null, null, null, null, null, null, null, null ], "current_time_index": 32, "rate_power": 226.4 } ``` 5. "10分钟前负载率"这个指标是需要通过"查询冷站的属性历史信息"的接口去查询系统当前时间到前10分钟前对应的历史属性去获取，对应请求体如下： ``` { "end_time": "2025-07-30T00:55:34.540Z", ---系统当前时间对应的零时区时间 "chiller/meanRunningLoad" ], "start_time": "2025-07-30T00:45:34.540Z" ---系统当前时间对应的零时区时间减去10分钟 } ``` 响应结果如下，对应指标用红色字体标识出来了： ``` { "site_id": "196a45737829249d1eb681c8", "contents": [ { "create_time": "2025-07-30T00:45:00.000Z", "properties": { "chiller/meanRunningLoad": 0.0 ---对应10分钟前负载率 } }, { "create_time": "2025-07-30T00:50:00.000Z", "properties": { "chiller/meanRunningLoad": 0.0 } }, { "create_time": "2025-07-30T00:55:00.000Z", "properties": { "chiller/meanRunningLoad": 0.0 } } ] } ```