CN110988556A - Diagnosis method for architectural lighting socket support in non-operation period - Google Patents

Diagnosis method for architectural lighting socket support in non-operation period Download PDF

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CN110988556A
CN110988556A CN201911324865.2A CN201911324865A CN110988556A CN 110988556 A CN110988556 A CN 110988556A CN 201911324865 A CN201911324865 A CN 201911324865A CN 110988556 A CN110988556 A CN 110988556A
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lighting socket
period
branch
operation period
building
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CN110988556B (en
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卜震
王任媛
汪雨清
张文宇
张蓓红
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Shanghai Building Science Research Institute Co Ltd
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R22/00Arrangements for measuring time integral of electric power or current, e.g. electricity meters

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Abstract

The invention discloses an energy diagnosis method for a non-operation period architectural lighting socket support, which relates to the field of energy consumption monitoring and diagnosis and solves the defects that the energy consumption monitoring in the non-operation period is lacked and the energy waste is easily caused in the actual operation process of a building, and the technical scheme is characterized by comprising the steps of judging the type of the building, identifying the operation period and the non-operation period of the architectural lighting socket support, calculating the valley peak ratio of the lighting socket in the non-operation period of the architectural lighting socket support, implementing transverse comparison, determining a transverse comparison judgment critical value, diagnosing the lighting socket support with the energy consumption problem in the non-operation period and determining the building with the energy consumption problem in the lighting socket support in the non-operation period and correspondingly reminding the building, energy waste is reduced, and intelligent development of building energy conservation is promoted.

Description

Diagnosis method for architectural lighting socket support in non-operation period
Technical Field
The invention relates to an energy consumption monitoring and diagnosing method, in particular to an energy diagnosing method for a non-operation period architectural lighting socket support.
Background
At present, the most widely applied technologies such as big data mining and Internet of things in the building industry are energy consumption monitoring platforms, and about 2000 building energy consumption monitoring platforms are built in Shanghai. Energy consumption monitoring platform data can provide a large amount of data support for government energy consumption decision-making, energy consumption quota standard establishment etc. but at the building actual operation in-process, because managers 'professional knowledge limitation lacks a channel that can effectively contact between monitoring data and the energy consumption equipment simultaneously, can't in time utilize the operational aspect of a large amount of data analysis energy consumption equipment to some energy waste because energy consumption equipment problem causes have been leaded to.
The energy consumption of the architectural lighting socket is always a hotspot and a difficulty of research in the industry, and related documents show that researches on an energy-saving control technology of the lighting socket in an operating period, an energy-saving design of a loop system of the lighting socket, an energy consumption mode of the lighting socket and the like are the main directions of the current researches, and the researches on the energy consumption of the architectural lighting socket in a non-operating period are few, so that the researches on the energy consumption aspect of the architectural lighting socket in the non-operating period are enhanced, and the energy consumption waste of the electricity consumption of the architectural lighting socket in the non-operating period is reduced through research and analysis.
Disclosure of Invention
The invention aims to provide an energy diagnosis method for a building lighting socket support in a non-operation period, which fills up the blank of the current domestic research on energy consumption of the lighting socket in the non-operation period, reduces energy waste and promotes the intelligent development of building energy conservation.
The technical purpose of the invention is realized by the following technical scheme:
a diagnosable method for off-time architectural lighting socket stands comprising the steps of:
judging the type of the building;
identifying the operation time period and the non-operation time period of the building lighting socket branch through the monitoring data of the energy consumption monitoring platform;
calculating the valley-peak ratio of the building lighting socket branch in the non-operation period according to the monitored power utilization data;
transversely comparing the valley-peak ratios of the branches of the illumination sockets in the non-operation period of the same kind of buildings to determine a judgment critical value;
and determining the lighting socket branch with the ratio of the valley to the peak of the lighting socket equal to or greater than the judgment critical value of the valley to the peak of the lighting socket in the non-operation period, judging that the energy utilization problem exists, determining the corresponding building and sending corresponding prompt.
Preferably, the identifying the operation period and the non-operation period of the branch of the architectural lighting socket specifically comprises:
collecting power consumption data of a current lighting socket branch, and comparing the power consumption data with power consumption data collected at a previous time point;
identifying the time points of starting and stopping the operation of the lighting socket through the change of the wave crest and the wave trough of the power consumption of the branch of the lighting socket;
when the comparison ratio of the collected current power utilization data to the power utilization data of the previous time point is higher than a set first proportion, judging and identifying the current power utilization data as a starting operation time point;
and when the collected current power utilization data is lower than the set second proportion compared with the power utilization data at the previous time point, judging and identifying as the stop operation time point.
Preferably, the determination of the valley-peak ratio of the non-operation period of the architectural lighting socket branch is specifically as follows:
Figure BDA0002328113390000021
wherein R is the ratio of the valley to the peak, EnlEnergy value for the lighting socket's branch for a certain hour of non-operating periods, EplThe average of peak energy levels for the lighting jack legs during the hours of operation is the hourly time period.
Preferably, the transverse comparison and determination critical value is specifically:
transversely comparing the valley-peak ratio of the branch circuits of the illumination sockets in the non-operation period of the same type of buildings;
and sequencing from small to large, and determining a 75% quantile value of the ratio of the transverse contrast valley to peak as a transverse contrast judgment critical value.
In conclusion, the invention has the following beneficial effects:
the energy consumption monitoring platform data and the building equipment management are established by fully utilizing a large amount of currently established building energy consumption monitoring platform data, the defect of knowledge limitation of energy consumption managers is overcome, the energy consumption problem of the lighting socket branch in the building is found in time and measures are taken, so that further energy waste is avoided, and meanwhile, the energy-saving intelligent development of the building is promoted.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a sequence chart of the horizontal contrast of valley-peak ratios of 8 branch illumination sockets of the architectural illumination socket in the non-operation period of 1:00 to 2: 00;
FIG. 3 is a graph of threshold values determined by the arrangement from small to large in the transverse comparison of the valley-peak ratios of 8 branch illumination sockets of the architectural illumination socket in the non-operation period of 1:00 to 2: 00;
fig. 4 is a schematic diagram of a building for which an energy use problem is determined.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
According to one or more embodiments, a method for diagnosing the service capability of the architectural lighting socket support in the non-operation period is disclosed, as shown in fig. 1, and specifically comprises the following steps:
step A: the type of building in which the lighting socket branch for the non-operational period is located is identified. The building types aimed by the invention mainly comprise office buildings, market buildings with obvious operation and non-operation time periods, and do not comprise medical and health buildings, hotel buildings and non-stop buildings all the year round.
And B: and identifying the starting time point and the stopping time point of the architectural lighting socket branch through the energy consumption monitoring platform data. The starting and stopping time points of the lighting socket are judged through the change of the wave peaks and the wave troughs of the electricity used by the branches of the building lighting socket, the collected current electricity data is compared with the electricity data of the previous time point, and the starting and stopping time points are identified according to the set first proportion and the set second proportion.
The identification of the point when the lighting socket branch starts to operate is as follows: if the power consumption data collected at the later time point of the power consumption of the branch of the lighting socket is higher than the first proportion of the power consumption data collected at the previous time point, namely 50%, the lighting socket is judged to start to operate at the moment. If the collected power utilization data of the lighting socket at the previous time point is 1.5kWh, and the collected data of the lighting socket at the later time point is 4.5kWh, the change is 200% in the front-back direction, so that the lighting socket branch can be determined to start to operate at the moment.
The identification of the time point when the lighting socket branch stops running is as follows: if the power consumption data collected at the later time point of the power consumption of the illumination socket branch is lower than the second proportion of the power consumption data collected at the previous time point, the same setting is 50%, and then the illumination socket branch is judged to stop running at the moment. If the power consumption data collected at the previous time point of the lighting socket branch is 4.0kWh, the power consumption data collected during the operation at the later time point is 0.9kWh, and the change is 77% from front to back, the lighting socket branch can be determined to stop operating at the moment.
And C: calculating the ratio of the diagnosis index value of the lighting socket branch in the non-operation period to the valley peak value of the lighting socket in the non-operation period:
Figure BDA0002328113390000041
in the formula (1), EnlAn illumination outlet branch energy value for a certain hour period in the non-operational period; eplThe average of peak energy levels for the lighting jack legs during the hours of operation is the hourly time period.
Step D: similar-purpose lighting socket branches of the same kind of buildings are transversely compared and arranged from small to large according to the valley-peak ratio of the bright sockets, and as shown in fig. 2, the valley-peak ratio of the lighting sockets of 8 buildings in the non-operation period of 1: 00-2: 00 is arranged from small to large in sequence.
Step E: and determining 75% of quantiles in the arrangement of the valley-peak ratio of the illumination sockets of the similar illumination socket branches of the same type of buildings as a judgment critical value based on the valley-peak ratio of the illumination sockets of the similar illumination socket branches of the same type of buildings in transverse comparison arrangement in the non-operation period. As shown in fig. 3, the valley-peak ratios of the lighting sockets of the 8 branches of the building lighting socket in the non-operation period of 1: 00-2: 00 are arranged from small to large, and the 75% quantile value is obtained through calculation, as shown by the horizontal line in fig. 3. The 75% quantile value calculation procedure is as follows:
①, arranging the total amount of the samples in the order from small to large, wherein the position order of the numbers is marked as a, the number of items contained in the total amount of the samples is marked as n, in the case, a group of numbers are arranged in the order from small to large, and the position of the 3 rd number is marked as a being 3;
② 75% of the fractional digits are 1+ (n-1). times.0.75, in numerical representation, in this case the number of the 75% fractional digits is 6.25, between the 6 th and 7 th numbers.
③, recording the integer part of the calculation result number of the position of the 75% quantile value as c, and recording the decimal part as d, wherein c is 6 and d is 0.25 in the present case;
④ calculation of 75% quantile value LJ75. The formula is a (c) + [ a (c +1) -a (c)]X d. In this case, a (c) represents a value at the 6 th digit in the order from small to large, and is 21.2%; a (c +1) represents a value at the 7 th digit in the descending order, which is 33.5%; then 75% quantile value LJ75=21.2%+(33.5%-21.2%)×0.25=24.3%。
Step F: and finding out the valley-peak ratio of the illumination socket branch in the non-operation period, wherein the valley-peak ratio of the illumination socket branch in the non-operation period is equal to or more than the 75% horizontal contrast fractional value in the arrangement of the valley-peak ratios of the illumination socket branch in the non-operation period. As shown in fig. 4, the lighting socket valley-peak ratio transverse comparison arrangement diagram of 8 building lighting socket branches in the non-operation period of 1:00 to 2:00 is shown, the lighting socket branches of two buildings equal to or greater than the 75% quantile value are lighting socket branches of a building III and a building IV respectively, and the dotted line rectangular frame in fig. 4 is shown.
Step G: a diagnostic conclusion is given. And determining a corresponding building for the lighting socket branch which has a problem in the non-operation period, giving out warning information through the monitoring platform, and timely reminding building managers to take measures to avoid further waste.
In conclusion, the invention innovatively provides an energy consumption monitoring platform, and aims at building lighting socket branches to carry out energy consumption diagnosis in non-operation time periods, so that the blank of research on energy consumption of lighting sockets in non-operation time periods is made up, and a new exploration idea and direction are provided for operation and maintenance management of building energy consumption equipment by using energy consumption monitoring data.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.

Claims (4)

1. A diagnosis method for the support of an architectural lighting socket in the non-operation period is characterized by comprising the following steps:
judging the type of the building;
identifying the operation time period and the non-operation time period of the building lighting socket branch through the monitoring data of the energy consumption monitoring platform;
calculating the valley-peak ratio of the building lighting socket branch in the non-operation period according to the monitored power utilization data;
transversely comparing the lighting socket branches judged to be buildings of the same type; determining a transverse comparison judgment critical value;
and determining the lighting socket branch with the ratio of the valley to the peak of the lighting socket equal to or greater than the judgment critical value of the valley to the peak of the lighting socket, judging that the energy utilization problem exists, determining the corresponding building and sending corresponding prompt.
2. The method for diagnosing the performance of the architectural lighting socket branch in the non-operating period as set forth in claim 1, wherein the identifying the operating period and the non-operating period of the architectural lighting socket branch is specifically as follows:
collecting power consumption data of a current lighting socket branch, and comparing the power consumption data with power consumption data collected at a previous time point;
judging the time points of starting and stopping the operation of the lighting socket according to the change of the wave crests and the wave troughs of the power consumption of the branches of the lighting socket;
when the comparison ratio of the collected current power utilization data to the power utilization data of the previous time point is higher than a set first proportion, judging and identifying the current power utilization data as a starting operation time point;
and when the collected current power utilization data is lower than the set second proportion compared with the power utilization data at the previous time point, judging and identifying as the stop operation time point.
3. The method for diagnosing the performance of the architectural lighting socket branch during the non-operation period as claimed in claim 2, wherein the determination of the ratio of the valley to the peak of the architectural lighting socket branch during the non-operation period is as follows:
Figure FDA0002328113380000021
wherein R is the ratio of the valley to the peak, EnlIllumination of the outlet branch energy value for a one hour period in the non-operating period, EplThe average of the peak energy usage of the lighting socket during the operating period is the hourly time period.
4. The method of claim 3, wherein the threshold for determining the lateral contrast is selected from the group consisting of:
transversely comparing the valley-peak ratio of the branch circuits of the illumination sockets in the non-operation period of the same type of buildings;
and sequencing from small to large, and determining a 75% quantile value of the ratio of the transverse contrast valley to peak as a transverse contrast judgment critical value.
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