CN112102105A - Street lamp loop abnormity analysis method and device - Google Patents
Street lamp loop abnormity analysis method and device Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 claims description 9
- 230000005856 abnormality Effects 0.000 description 22
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention provides a street lamp loop abnormity analysis method and device. The method comprises the following steps: collecting a plurality of electricity utilization data of the street lamp loop; acquiring a query time interval, a threshold reference interval and an error percentage; finding out a plurality of electricity utilization data to be analyzed in the electricity utilization data according to the query time interval and the threshold reference interval; defining a power demand range based on the power consumption data to be analyzed and the error percentage; finding out the power consumption demand corresponding to the query time interval from the power consumption data to be analyzed; and generating a loop abnormity warning of the street lamp loop in response to the power consumption demand exceeding the power consumption demand range.
Description
Technical Field
The present invention relates to a street lamp analysis method and device, and more particularly, to a street lamp loop anomaly analysis method and device.
Background
Governments and enterprises of various countries continuously promote the construction of smart cities, and smart street lamps are a key application in the field of smart cities. According to the united nations report, the urban population in the year 2050 will exceed 70% of the global population, while 500 new cities will be generated in the next 20 years. From the globalization trend, the construction of intelligent street lamps will develop rapidly in the next two or thirty years. Therefore, for those skilled in the art, how to efficiently determine the abnormality of the street lamp circuit, i.e. perform maintenance early, so as to reduce the malfunction time of the street lamp is a key issue.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for analyzing an abnormality of a street lamp loop, which can be used to solve the above technical problems.
The invention provides a street lamp loop abnormity analysis method, which comprises the following steps: collecting a plurality of electricity utilization data of a street lamp loop, wherein the street lamp loop comprises a plurality of street lamps; acquiring a query time interval, a threshold reference interval and an error percentage; finding out a plurality of electricity utilization data to be analyzed in the electricity utilization data according to the query time interval and the threshold reference interval; defining a power demand range based on the power consumption data to be analyzed and the error percentage; finding out the power consumption demand corresponding to the query time interval from the power consumption data to be analyzed; and generating a loop abnormity warning of the street lamp loop in response to the power consumption demand exceeding the power consumption demand range.
The invention provides a street lamp loop abnormity analysis device which comprises a storage circuit and a processor. The storage circuit stores a plurality of modules. The processor is coupled with the storage circuit and accesses the module to execute the following steps: collecting a plurality of electricity utilization data of a street lamp loop, wherein the street lamp loop comprises a plurality of street lamps; acquiring a query time interval, a threshold reference interval and an error percentage; finding out a plurality of electricity utilization data to be analyzed in the electricity utilization data according to the query time interval and the threshold reference interval; defining a power demand range based on the power consumption data to be analyzed and the error percentage; finding out the power consumption demand corresponding to the query time interval from the power consumption data to be analyzed; and generating a loop abnormity warning of the street lamp loop in response to the power consumption demand exceeding the power consumption demand range.
In order to make the aforementioned and other features and advantages of the invention more comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
Fig. 1 is a schematic view illustrating an abnormality analysis system for a street lamp circuit according to an embodiment of the invention.
Fig. 2 is a flowchart illustrating a street lamp loop abnormality analysis method according to an embodiment of the invention.
Description of the symbols
100: street lamp loop abnormity analysis system
110: street lamp loop abnormity analysis device
112: storage circuit
114: processor with a memory having a plurality of memory cells
120: road lamp loop
121-12M: road lamp
131-13M: monitoring unit
199: internet network
S210 to S280: and (5) carrying out the following steps.
Detailed Description
In summary, the present invention is directed to a method and a device for analyzing an abnormality of a street lamp circuit, which are used to determine abnormality such as lighting failure and flickering of the street lamp caused by the abnormality of the street lamp circuit. The invention can collect the electricity utilization data of the street lamp loop by utilizing an Information and Communication Technology (ICT) Technology, judge whether the abnormal situations such as sudden increase and sudden decrease of the electricity utilization demand occur or not by network transmission, cloud data storage and threshold benchmark setting and data analysis, and provide abnormal warning so as to rapidly evaluate whether the electricity utilization demand of the street lamp loop is reasonable or not and whether the maintenance operation is required or not.
Fig. 1 is a schematic diagram of a street lamp loop abnormality analysis system according to an embodiment of the invention. In fig. 1, the street lamp circuit abnormality analysis system 100 includes a street lamp circuit abnormality analysis device 110, a street lamp circuit 120, monitoring units 131 to 13M, and the internet 199. In the embodiment, the street lamp circuit 120 includes street lamps 121-12M disposed on the same circuit, and each street lamp is configured with a monitoring unit 131-13M for monitoring power consumption. In the embodiment of the invention, the street lamps 121-12M are, for example, LED street lamps, but the invention is not limited thereto.
In one embodiment, the monitoring units 131-13M can collect the electricity consumption data of the street lamps 121-12M periodically (e.g., every minute) or aperiodically, and transmit the electricity consumption data back to the street lamp circuit abnormality analysis device 110 via the Internet 199. In various embodiments, each electricity consumption data may include, but may not be limited to, time, a unique identification code of the street lamp, electricity demand, and the like. Alternatively, the street lamp loop abnormality analyzing device 110 may also report the electricity consumption data of the street lamps 121 to 12M by using the related ICT technical requirement monitoring units 131 to 13M, but is not limited thereto.
The street lamp circuit abnormality analyzing device 110 may include a storage circuit 112 and a processor 114. The storage circuit 112 is, for example, any type of fixed or removable Random Access Memory (RAM), Read-Only Memory (ROM), Flash Memory (Flash Memory), hard disk, or other similar devices or combination thereof, and can be used for recording a plurality of program codes or modules.
In an embodiment of the present invention, the processor 114 can access the modules and program codes recorded in the storage circuit 112 to implement the street lamp loop abnormality analyzing method of the present invention, and details thereof are described below.
Fig. 2 is a flowchart illustrating a street lamp loop abnormality analysis method according to an embodiment of the invention. The method of the present embodiment can be executed by the street lamp loop abnormality analyzing apparatus 110 of fig. 1, and details of each step of fig. 2 will be described below with reference to components shown in fig. 1.
First, in step S210, the processor 114 may collect a plurality of power consumption data of the street lamp circuit 120. As mentioned above, the monitoring units 131-13M can report the power consumption data of the street lamps 121-12M automatically periodically or aperiodically, or the processor 114 requests the power consumption data related to the monitoring units 131-13M, but the invention is not limited thereto.
In step S220, the processor 114 obtains the query time interval, the threshold reference interval and the error percentage. In one embodiment, the processor 114 may receive the query time interval, the threshold reference interval and the error percentage input by the user through a user interface (e.g., an input interface on the street lamp loop abnormality analysis device 110).
In an embodiment, assuming that the user wants to query whether the power consumption of the street lamp circuit 120 in a certain time interval is normal, the user can input the time interval as a query time interval to the street lamp circuit abnormality analysis device 110. For example, if the user wants to monitor the situation of the street lamp circuit 120 at the time of day 0, the user can use "0 th day" as the query time interval and input the query time interval to the street lamp circuit abnormality analysis device 110. In various embodiments, the query time interval may be 15 minutes as a unit, so that the user inputs 0, 15, 30, and 45 minutes per hour for querying, but may not be limited thereto.
In addition, since the power company for supplying power to the street lamp circuit 120 may not supply power to the street lamp circuit 120 (hereinafter referred to as an unpowered period) at certain time intervals (for example, 06:40 to 18: 50) in a day, if the query time interval input by the user belongs to the unpowered period, the processor 114 may provide the query error information to the user through the user interface and request the user to input the query time interval again, for example.
In one embodiment, the threshold reference interval is a specific number of days input by the user, for example. For example, if the user inputs 10 days as the threshold reference interval, the street lamp circuit abnormality analyzing device 110 can accordingly find out the electricity consumption data before and after 10 days of the query date corresponding to the query time interval as a basis for subsequent determination. In other embodiments, the user may select one of 1, 2, 3, 7, 15, and 30 as the threshold reference interval, but the invention is not limited thereto.
In an embodiment, the error percentage may be input by a user through a user interface, or set by the street lamp circuit abnormality analysis device 110 based on one or more default values, but the invention is not limited thereto.
Then, in step S230, the processor 114 can find a plurality of electricity consumption data to be analyzed from the electricity consumption data according to the query time interval and the threshold reference interval. In one embodiment, the processor 114 may obtain the query date to which the query time interval belongs. For example, if the query time interval input by the user is 5 pm of 5 month and 20 days, the query date to which the query time interval belongs is 5 month and 20 days.
Next, the processor 114 may obtain a plurality of target dates within a threshold reference interval from the query date. In the above example, if the threshold reference interval is n, if the query date is 5 months and 20 days, the processor 114 may obtain n days before and after 5 months and 20 days as the target dates. For example, if n is 10, the processor 114 may obtain the target dates as 5 months 10 to 5 months 19 (i.e., the first 10 days of 5 months 20), and 5 months 21 to 5 months 30 (i.e., the last 10 days of 5 months 20).
Thereafter, the processor 114 may obtain a target time period in each target date according to the query time interval, wherein the target time period of each target date corresponds to the query time interval. In the example, in the case of the query time interval being 5 pm 5 o 'clock of 5 month and 20 days, the processor 114 may take 5 pm 5 o' clock of each day of 5 month and 10 days to 5 month and 19 days, and 5 month and 21 days to 5 month and 30 days as the target time interval (in this example, 20 target time intervals in total).
Then, the processor 114 may find a portion of the target time period corresponding to the query time interval and each target date in the power consumption data as the power consumption data to be analyzed. In the above example, the processor 114 may use the electricity consumption data at 5 pm of 5 months 10 to 5 months 30 as the electricity consumption data to be analyzed, but the invention is not limited thereto.
After obtaining the power consumption data to be analyzed, in step S240, the processor 114 may define a power demand range based on the power consumption data to be analyzed and the error percentage. In an embodiment, the processor 114 may be configured to: calculating a statistical day value; calculating an average power consumption corresponding to the statistical day value; calculating the upper limit value of the power demand range; and calculating the lower limit value of the power demand range.
In various embodiments, the statistical day value may be characterized as N × 2+1, where N is the statistical day value and N is the threshold reference interval. Further, the average power usage can be characterized as:
wherein
To average power consumption, xiThe ith electricity data to be analyzed in the electricity data to be analyzed. The upper limit of the electricity demand range can be characterized as:
wherein B isupperThe upper limit value of the power demand range is Er, and the error percentage is used as the upper limit value of the power demand range. The lower limit of the electricity demand range can be characterized as:
wherein Num is the number of street lamps 121-12M in the street lamp loop 120. Based on this, the electricity demand range can be defined as between BupperAnd BlowerIn the middle range.
Thereafter, in step S250, the processor 114 may find the electricity demand corresponding to the query time interval from the electricity data to be analyzed, and determine whether the electricity demand exceeds the electricity demand range in step S260. In the above example, when the query time interval is 5 pm 5 of 20 months, the processor 114 may retrieve the electricity demand 5 pm of 20 months, and determine whether the electricity demand exceeds the electricity demand range. That is, the processor 114 can determine whether the power demand is between BupperAnd BlowerIn the meantime. If not, the power demand exceeds the power demand range, otherwise, the power demand does not exceed the power demand range.
In one embodiment, if the power demand exceeds the power demand range, the processor 114 may execute step S270 to generate a circuit abnormality warning for the street lamp circuit 120, otherwise execute step S280 to determine that the power demand is normal.
In summary, the method and the device for analyzing the abnormal condition of the street lamp loop provided by the invention can collect the electricity utilization data of the street lamp loop by using the ICT technology, and then check and measure the use condition of the street lamp loop by using the threshold reference, the statistical days and the error percentage setting and data analysis means, so as to rapidly evaluate whether the electricity utilization demand of the street lamp loop is reasonable and judge whether maintenance operation needs to be performed immediately. Therefore, when a user maintains and manages the street lamp loop, the user can more conveniently and more quickly find the abnormal situation of the loop, so that the abnormal time of the street lamp is reduced, the management efficiency is improved, and the maintenance labor cost is reduced.
Although the present invention has been disclosed by way of examples, it is not intended to be limited thereto, and various modifications and changes can be made by persons having ordinary skill in the art without departing from the spirit and scope of the present invention.
Claims (8)
1. A street lamp loop abnormity analysis method comprises the following steps:
collecting a plurality of power consumption data of a street lamp loop, wherein the street lamp loop comprises a plurality of street lamps;
acquiring a query time interval, a threshold reference interval and an error percentage;
finding out a plurality of power utilization data to be analyzed from the plurality of power utilization data according to the query time interval and the threshold reference interval;
defining a power demand range based on the plurality of power consumption data to be analyzed and the error percentage;
finding out the electricity demand corresponding to the query time interval from the plurality of electricity data to be analyzed;
and generating a loop abnormity warning of the street lamp loop in response to the power consumption demand exceeding the power consumption demand range.
2. The method of claim 1, wherein obtaining the query time interval, the threshold reference interval, and the error percentage comprises:
and receiving the query time interval, the threshold reference interval and the error percentage input by a user through a user interface.
3. The method of claim 2, further comprising:
and providing inquiry error information in response to the received inquiry time interval belonging to the non-power supply time interval of the street lamp loop, and requiring to input the inquiry time interval again.
4. The method of claim 1, wherein the step of finding the electricity data to be analyzed from the electricity data according to the query time interval and the threshold reference interval comprises:
obtaining the inquiry date of the inquiry time interval;
obtaining a plurality of target dates which are within the threshold reference interval away from the inquiry date;
obtaining a target time period in each of the target dates according to the query time interval, wherein the target time period of each of the target dates corresponds to the query time interval;
and finding out a part of the target time interval corresponding to the query time interval and each target date in the plurality of electricity utilization data as the plurality of electricity utilization data to be analyzed.
5. The method of claim 1, wherein the step of defining the electricity usage demand range based on the plurality of electricity data to be analyzed and the percentage of error comprises:
calculating a statistical day value, wherein the statistical day value is characterized by:
N＝n×2+1
wherein N is the statistical day value, and N is the threshold reference interval;
calculating an average power usage corresponding to the statistical day value, wherein the average power usage is characterized by:
wherein
Is the average power consumption, xiThe ith electricity consumption data to be analyzed in the plurality of electricity consumption data to be analyzed;
calculating an upper limit value of the power consumption demand range, wherein the upper limit value is characterized by:
wherein B isupperThe upper limit value of the power demand range is defined, and Er is the error percentage;
calculating a lower limit value of the power consumption demand range, wherein the lower limit value is characterized by:
wherein Num is the number of the plurality of street lamps in the street lamp loop.
6. The method of claim 1, wherein in response to the electricity usage demand not exceeding the electricity usage demand range, the method further comprises:
and judging that the power consumption demand is normal.
7. The method of claim 1, wherein collecting the plurality of power usage profiles of the street light circuit comprises:
receiving the plurality of power consumption data of the street lamp loop from a plurality of monitoring units disposed on the plurality of street lamps.
8. A street lamp loop abnormity analysis device comprises:
a storage circuit storing a plurality of modules; and
a processor, coupled to the storage circuit, for accessing the plurality of modules to perform the following steps:
collecting a plurality of power consumption data of a street lamp loop, wherein the street lamp loop comprises a plurality of street lamps;
acquiring a query time interval, a threshold reference interval and an error percentage;
finding out a plurality of power utilization data to be analyzed from the plurality of power utilization data according to the query time interval and the threshold reference interval;
defining a power demand range based on the plurality of power consumption data to be analyzed and the error percentage;
finding out the electricity demand corresponding to the query time interval from the plurality of electricity data to be analyzed;
and generating a loop abnormity warning of the street lamp loop in response to the power consumption demand exceeding the power consumption demand range.
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| TW108118420 | 2019-05-28 | ||
| TW108118420A TWI746986B (en) | 2019-05-28 | 2019-05-28 | Street lamp loop abnormality analysis method and device |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11283760A (en) * | 1998-03-30 | 1999-10-15 | Fuji Electric Co Ltd | System for informing abnormality of street lamp |
| CN103152957A (en) * | 2013-04-07 | 2013-06-12 | 河海大学常州校区 | Data collection and control system for target tracking segmented power supply street lamp |
| TWM487562U (en) * | 2014-03-26 | 2014-10-01 | Green Ideas Technology | Single lamp power monitoring reporting system of intelligent LED streetlamp network |
| CN106886591A (en) * | 2017-02-21 | 2017-06-23 | 华南理工大学 | A kind of intelligent road-lamp energy consumption analysis system based on data mining |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| BRPI0721855B1 (en) * | 2007-06-29 | 2019-02-05 | Enel Distribuzione Spa | device and method for detecting street lamp defect |
| TW201910789A (en) * | 2017-08-01 | 2019-03-16 | 崑山科技大學 | Detection method of short circuit fault points for street light equipment |
-
2019
- 2019-05-28 TW TW108118420A patent/TWI746986B/en active
- 2019-07-26 CN CN201910683701.2A patent/CN112102105A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11283760A (en) * | 1998-03-30 | 1999-10-15 | Fuji Electric Co Ltd | System for informing abnormality of street lamp |
| CN103152957A (en) * | 2013-04-07 | 2013-06-12 | 河海大学常州校区 | Data collection and control system for target tracking segmented power supply street lamp |
| TWM487562U (en) * | 2014-03-26 | 2014-10-01 | Green Ideas Technology | Single lamp power monitoring reporting system of intelligent LED streetlamp network |
| CN106886591A (en) * | 2017-02-21 | 2017-06-23 | 华南理工大学 | A kind of intelligent road-lamp energy consumption analysis system based on data mining |
Non-Patent Citations (1)
| Title |
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| 苏枫: "《餐饮企业管理与运作》", 30 April 2010, 吉林大学出版社, pages: 353 - 355 * |
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| TWI746986B (en) | 2021-11-21 |
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