Urban drainage facility online monitoring data verification method
A technology for monitoring data and verification methods, applied in data processing applications, testing/calibration of speed/acceleration/shock measurement equipment, and measurement devices, etc., can solve problems such as fluctuations in water level monitoring data, insufficient reliability of monitoring data, etc., and achieve improvement Data verification efficiency, the effect of reducing the cost of manual data verification
Pending Publication Date: 2020-11-13
NORTH CHINA MUNICIPAL ENG DESIGN & RES INST
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However, because the monitoring equipment has been installed in places with relatively harsh environments, the reliability of the monitoring data is still insufficient only by improving the hardware equipment.
In addition, for some statistical test theories such as outlier detection are usually suitable for random data or steady-state data, unsteady-state data is often more common in online monitoring of urban drainage facilities, for example, heavy rain may bring large fluctuations to water level monitoring data. fluctuations, so simple analysis cannot be done with this method and needs to be validated systematically
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[0049] Below in conjunction with accompanying drawing and embodiment the present invention will be further described,
[0050] A method for verifying online monitoring data of urban drainage facilities, comprising the following steps:
[0051] ① Obtain the monitoring data collected by the sensor;
[0052] ② Data online automatic pre-verification. Provide six kinds of data verification criteria, and use identification codes to mark the verification results of the corresponding criteria; the rules for the identification codes are: "A means valid; B means suspicious values; C means invalid, including defective values, outliers or abnormal values; N means The criterion is not validated";
[0053] The six guidelines for online pre-validation of data include:
[0054] a. Sensor status verification. Usually, the sensor is still collecting data during the maintenance, inspection or debugging of the monitoring equipment, but the data at this time is not reliable. Therefore, a metho...
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The invention discloses an urban drainage facility online monitoring data verification method. The method comprises the following steps: (1) acquiring monitoring data acquired by a sensor; (2) carrying out data online automatic pre-verification: providing six data verification criteria, and marking corresponding verification results by adopting identification codes; (3) carrying out data online pre-verification evaluation: during verification evaluation, taking the worst value of the six criteria as a verification evaluation result according to the verification result of each criterion in thestep (2); and (4) extracting data which does not pass the verification evaluation, and performing manual verification. The urban drainage facility online monitoring data verification method is researched and developed on the basis of huge data volume and data timeliness requirements generated by current drainage facility operation, whether urban drainage facility online monitoring data is valid ornot can be accurately verified, the manual data verification cost is greatly reduced, and the data verification efficiency is improved.
Description
technical field [0001] The invention relates to the field of online monitoring data verification, in particular to a method for verifying online monitoring data of urban drainage facilities. [0002] technical background [0003] Urban drainage facilities, especially underground pipe networks, have the characteristics of strong concealment, wide distribution, unclear operating status, and difficult management. Install flow meters, liquid level meters, water quality monitoring equipment, etc. However, invalid data will have a great impact on analysis or decision-making, so the data collected by sensors needs to be verified before it can be applied to analysis or decision-making. Generally speaking, online monitoring of urban drainage facilities generates a large amount of data, especially for real-time prediction and real-time control scenarios, because these situations require high timeliness of data, and manual verification is unrealistic, and automated online verification ...
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Login to View More IPC IPC(8): G06Q10/00G06Q50/06G01D18/00G01P21/02
CPCG01D18/00G01P21/025G06Q10/20G06Q50/06
Inventor 王浩正刘杰陆露骆春会张良
Owner NORTH CHINA MUNICIPAL ENG DESIGN & RES INST