阅读说明：本技术 一种能源计量仪表数据质量预警机制的构建方法 (Construction method of energy metering instrument data quality early warning mechanism ) 是由 徐晓光 李宪亭 郭越 王新峰 李准峰 韩东伟 韩彦福 贾文艺 贾嘉 于 2019-10-18 设计创作，主要内容包括：本发明涉及一种能源计量仪表数据质量预警机制的构建方法,本技术方案在智能能管系统中,搭建一个计量仪表数据采集质量预警模型,对系统中的仪表,按照职能层次划分重要等级,由重要到次要,分层级逐个建立数据质量预警模型,根据数据情况分析判断出仪表的状态及时反馈的管理员管理系统中,管理员能够根据预警平台反馈的,预警信息,对仪表的预警内容进行处理,经处理分析后,确定仪表自身质量问题或者读取精度问题,委派专业技术人员进行维修维护,甚至对仪表进行更换。(The invention relates to a construction method of a data quality early warning mechanism of an energy metering instrument, which is characterized in that a metering instrument data acquisition quality early warning model is built in an intelligent energy management system, the instruments in the system are classified into important levels according to function levels, the data quality early warning models are built one by one from the important level to the subordinate level, the state of the instruments is analyzed and judged to be fed back in time according to data conditions, and an administrator can process the early warning content of the instruments according to early warning information fed back by an early warning platform, determine the quality problem or the reading precision problem of the instruments after processing and analysis, appoint professional technicians to maintain and even replace the instruments.)

1. A construction method of a data quality early warning mechanism of an energy metering instrument is characterized by comprising the following steps:

defining data early warning parameters;

collecting data of a metering instrument in a set range;

if the parameter data change value of a certain metering instrument is 0 within the first set time range, determining that the metering instrument is in a stop state, otherwise, determining that the metering instrument is in a start state;

calculating the difference value of the accumulated values of any metering instrument before and after the set time period, judging, and if the difference value is 0, feeding back a data acquisition communication fault or a hardware fault of the metering instrument to the early warning system;

if the difference is not 0, judging:

the dosage value in the set time period is compared with the set dosage upper limit value or dosage lower limit value,

if the usage value is larger than the usage upper limit value or the usage value is smaller than the usage lower limit value, feeding back the abnormal data acquisition of the metering instrument to the early warning system, otherwise, judging:

the deviation rate of the metering instrument, a higher-level metering instrument and a lower-level metering instrument is compared with a set deviation upper limit value or a set deviation lower limit value, if the deviation rate is greater than the deviation upper limit value or less than the deviation lower limit value, the data of the metering instrument is fed back to an early warning system to cause inaccurate metering,

otherwise, confirming that the metering device works normally.

2. The method for constructing the data quality early warning mechanism of the energy metering instrument according to claim 1, wherein the data early warning parameters include, but are not limited to, a number of the metering instrument, an energy medium, an upper limit value of usage, a lower limit value of usage, a single-meter metering mode, a metering mode of an upper-level meter and a metering mode of a lower-level meter, an upper limit value of deviation, a lower limit value of deviation, or a start/stop state.

3. The method for constructing the data quality early warning mechanism of the energy metering instrument as claimed in claim 1, wherein the calculation method of the deviation rate is as follows:

the deviation ratio (upper meter usage-lower meter usage)/upper meter usage 100.

4. The method for constructing the data quality early warning mechanism of the energy metering instrument as claimed in claim 1, further comprising early warning information processing, aiming at the processing state of data acquisition communication fault or metering instrument hardware fault signal, data acquisition abnormal signal or data metering inaccurate signal fed back to the early warning system.

5. The method for constructing the data quality early warning mechanism of the energy metering instrument as claimed in claim 4, further comprising the step of querying early warning information, wherein the processing state of the early warning information is queried according to a set query condition.

6. The method for constructing the data quality early warning mechanism of the energy metering device according to claim 5, wherein the query condition includes but is not limited to an energy medium, early warning information, a processing state, a creator, a start date of the early warning information or an end date of the early warning information.

7. The method for constructing the data quality early warning mechanism of the energy metering instrument according to claim 5, wherein the early warning information query includes but is not limited to historical early warning information processing conditions, historical processing record information, historical detailed early warning information, abnormal point inspection and historical data retention.

Technical Field

The invention belongs to the technical field of instrument control, and particularly relates to a construction method of a data quality early warning mechanism of an energy metering instrument.

Background

In the energy supply system of intelligent factory, digital energy metering device is intelligent energy management and control system's eyes, along with the continuous upgrading of intelligent energy management and control system, digital metering device is also more and more, will verify one by one to the digital intelligent instrument of whole factory, is a very heavy and hard work, not only will waste a large amount of manpower, material resources and time, still need have professional monitoring facilities.

In the energy management and control system of mill, the check-up to the instrument can not accomplish in time can, consequently according to the various parameters of instrument, design an intelligent instrument data quality early warning model, can the very first time with the operating condition and the accurate degree of instrument, feed back to the operation platform of administrator on, be that the administrator can not go home enough, just can know the condition of all instruments of jurisdiction, to the unusual instrument of operating condition, can carry out data analysis, send the people even to maintain.

Disclosure of Invention

The invention aims to provide a construction method of a data quality early warning mechanism of an energy metering instrument, which can be widely applied to an energy management and control system of an enterprise and the investigation and screening of the operation condition of an intelligent instrument, not only can find the potential problems of the metering instrument in time, but also can analyze and judge the problems of the instrument, assist a manager to count and screen the operation state of the energy and the metering instrument which are administered in the first time.

The invention is realized by the following technical scheme:

a construction method of a data quality early warning mechanism of an energy metering instrument comprises the following steps:

defining data early warning parameters;

collecting data of a metering instrument in a set range;

if the parameter data change value of a certain metering instrument is 0 within the first set time range, determining that the metering instrument is in a stop state, otherwise, determining that the metering instrument is in a start state;

calculating the difference value of the accumulated values of any metering instrument before and after the set time period, judging, and if the difference value is 0, feeding back a data acquisition communication fault or a hardware fault of the metering instrument to the early warning system;

if the difference is not 0, judging:

the dosage value in the set time period is compared with the set dosage upper limit value or dosage lower limit value,

if the usage value is larger than the usage upper limit value or the usage value is smaller than the usage lower limit value, feeding back the abnormal data acquisition of the metering instrument to the early warning system, otherwise, judging:

the deviation rate of the metering instrument, a higher-level metering instrument and a lower-level metering instrument is compared with a set deviation upper limit value or a set deviation lower limit value, if the deviation rate is greater than the deviation upper limit value or less than the deviation lower limit value, the data of the metering instrument is fed back to an early warning system to cause inaccurate metering,

otherwise, confirming that the metering device works normally.

The data early warning parameters comprise but are not limited to the number of a metering instrument, an energy medium, an upper limit value of the dosage, a lower limit value of the dosage, a single-meter metering mode, an upper and lower-level meter metering mode, an upper limit value of deviation, a lower limit value of deviation or a start/stop state.

The calculation method of the deviation ratio comprises the following steps:

the deviation ratio (upper meter usage-lower meter usage)/upper meter usage 100.

And further, the method also comprises early warning information processing, namely processing states of data acquisition communication faults or metering instrument hardware fault signals, abnormal data acquisition signals or inaccurate data metering signals which are fed back to the early warning system.

And further, early warning information inquiry is also included, and the processing state of the early warning information is inquired according to the set inquiry condition.

The query condition includes, but is not limited to, an energy medium, warning information, a processing status, a creator, a start date of the warning information, or an end date of the warning information.

The early warning information query includes but is not limited to historical early warning information processing conditions, historical processing record information, historical detailed early warning information, abnormal point inspection and historical data retention.

The invention has the beneficial effects that:

according to the technical scheme, a metering instrument data acquisition quality early warning model is built in an intelligent energy management system, important levels of instruments in the system are divided according to function levels, the data quality early warning models are built one by one from important levels to secondary levels, states of the instruments are analyzed and judged according to data conditions, and in an administrator management system, the states of the instruments are timely fed back, administrators can process early warning contents of the instruments according to early warning information fed back by an early warning platform, quality problems or reading precision problems of the instruments are determined after processing and analysis, professional technicians are assigned to maintain the instruments, and even the instruments are replaced.

Drawings

FIG. 1 is a flow chart of an early warning mechanism model according to the present invention.

Detailed Description

The technical solutions of the present invention are described in detail below by examples, and the following examples are only exemplary and can be used only for explaining and explaining the technical solutions of the present invention, but not construed as limiting the technical solutions of the present invention.

The technical scheme includes that a metering instrument data acquisition quality early warning model is built in an intelligent energy management system, important levels of instruments in the system are divided according to function levels, data quality early warning models are built one by one from important levels to secondary levels, states of the instruments are analyzed and judged according to data conditions, early warning contents of the instruments can be processed according to early warning information fed back by an early warning platform, quality problems or reading precision problems of the instruments are determined after processing and analysis, professional technicians are assigned to maintain the instruments, and even the instruments are replaced, and particularly, the digital instrument quality early warning model building and judging process is shown in figure 1.

The application provides a construction method of a data quality early warning mechanism of an energy metering instrument, which comprises the following steps:

defining data early warning parameters;

collecting data of a metering instrument in a set range; including but not limited to meter number, energy medium, upper limit value of usage, lower limit value of usage, single meter metering mode (1 to 0), upper and lower meter metering mode (1 to N, N to N), upper limit value of deviation, lower limit value of deviation or on/off state.

If the parameter data change value of a certain metering instrument is 0 within the first set time range, determining that the metering instrument is in a stop state, otherwise, determining that the metering instrument is in a start state; this first set time is set as needed, and in the present invention, the set time length is selected to be the same as the following set time length.

Calculating the difference value of the accumulated values of any metering instrument before and after the set time period, judging, and if the difference value is 0, feeding back a data acquisition communication fault or a hardware fault of the metering instrument to the early warning system; the judgment is carried out through the accumulated flow collection value (accumulated value) of the metering instrument, so that the early warning reminding of communication or hardware faults is realized.

If the difference is not 0, judging:

the dosage value in the set time period is compared with the set dosage upper limit value or dosage lower limit value,

and if the usage value is larger than the usage upper limit value or the usage value is smaller than the usage lower limit value, feeding back the abnormal data acquisition of the metering instrument to the early warning system. The early warning reminding of the abnormity of the collected data is realized by comparing and judging the accumulated usage collection value (usage value) of the metering instrument with the upper usage limit value and the lower usage limit value.

Otherwise, judging:

and if the deviation rate is greater than the upper deviation limit value or less than the lower deviation limit value, feeding back inaccurate data measurement of the metering instrument to the early warning system. And the early warning reminding of the inaccurate metering of the instrument is realized by comparing and judging the deviation rate of the upper and lower-level metering instruments with the upper deviation limit value and the lower deviation limit value.

The calculation method of the deviation ratio comprises the following steps:

the deviation ratio (upper meter usage-lower meter usage)/upper meter usage 100.

Otherwise, confirming that the metering device works normally.

The method also comprises early warning information processing, namely confirming processing aiming at the processing states of data acquisition communication faults or metering instrument hardware fault signals, data acquisition abnormal signals or data metering inaccurate signals fed back to the early warning system, inputting processing suggestions when confirming, and updating the processing states to be processed or unprocessed.

And further, early warning information inquiry is also included, and the processing state of the early warning information is inquired according to the set inquiry condition.

The query condition includes, but is not limited to, an energy medium, warning information, a processing status, a creator, a start date of the warning information, or an end date of the warning information, and queries the warning information meeting the condition, for example, displaying the processed warning information records as black fonts and displaying the unprocessed warning records as red fonts.

The early warning information query includes but is not limited to historical early warning information processing conditions, historical processing record information, historical detailed early warning information, abnormal point inspection and historical data retention.

And (4) abnormal point inspection: in the function of 'data quality early warning and inquiring' of the energy management system, the on-duty data point inspector of each production workshop submits abnormal information through 'abnormal point inspection', and the energy manager of the production workshop fills in processing comments (data modification application or repair condition and informs the energy manager of the equipment management part by telephone) within 24 hours. The abnormal condition is filled in by energy managers in various production workshops according to the abnormal point inspection records.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.