CN112118661A - Intelligent street lamp fault detection method based on Internet of things - Google Patents
Intelligent street lamp fault detection method based on Internet of things Download PDFInfo
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- CN112118661A CN112118661A CN202010968634.1A CN202010968634A CN112118661A CN 112118661 A CN112118661 A CN 112118661A CN 202010968634 A CN202010968634 A CN 202010968634A CN 112118661 A CN112118661 A CN 112118661A
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- 238000001514 detection method Methods 0.000 title claims abstract description 46
- 238000012423 maintenance Methods 0.000 claims abstract description 25
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 230000001939 inductive effect Effects 0.000 description 3
- 238000005286 illumination Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/20—Responsive to malfunctions or to light source life; for protection
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/44—Testing lamps
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
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- General Physics & Mathematics (AREA)
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- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The invention discloses an intelligent street lamp fault detection method based on the Internet of things, and relates to the technical field of street lamp fault detection. The invention comprises the following steps: establishing a street lamp network, and embedding a street lamp fault detection device in each street lamp pole; a ZigBee module in the device sends alarm information and related fault data parameters to a street lamp control box in an effective range; the street lamp control box sends maintenance information to the satellite through the Internet of things in the form of a short message after receiving the information of the detection and alarm device; the alarm message is transmitted to corresponding maintenance personnel through a satellite short message mechanism. According to the invention, the street lamp fault detection device is embedded in the lamp post of the street lamp network, and the various sensors monitor the street lamp data, so that once the abnormity is monitored and sent to the corresponding maintenance personnel in a short message form through the satellite, the maintenance personnel can quickly find out the fault street lamp and the fault reason according to the message, thereby improving the maintenance efficiency of the street lamp and reducing the workload of the maintenance personnel.
Description
Technical Field
The invention belongs to the technical field of street lamp fault detection, and particularly relates to an intelligent street lamp fault detection method based on the Internet of things.
Background
Street lamps are indispensable facilities for urban night illumination, but the street lamps can not be used for continuous illumination due to the fact that the street lamps are out of order due to the fact that the working time reaches the service life or other reasons. Therefore, the working condition of the street lamp needs to be detected, so that the street lamp can be maintained in time when the street lamp breaks down, and the normal urban lighting requirement is met. However, as the number of street lamps is continuously increased, the range of street lamps is also continuously expanded, and accordingly, the number of street lamps is also continuously increased. Therefore, how to effectively detect the fault of the street lamp so as to timely maintain the street lamp when the street lamp is in fault becomes a difficult task.
At present, the common detection mode of street lamp fault is: and detecting the current value output by a current transformer of the street lamp by using a detection unit, comparing the current value with a preset amplitude threshold, and judging whether the street lamp normally works or not according to the comparison result. If the detected current value is larger than a preset amplitude threshold, judging that the street lamp works normally; and if the detected current value is smaller than the preset amplitude threshold, judging that the street lamp has a fault.
However, there are certain limitations to this approach. For example, for a street lamp including a light emitter and an inductive ballast, or a street lamp including a light emitter and an electronic ballast, the failure location may be the light emitter itself or the ballast. The failure of the light-emitting body or the failure of the ballast can cause the street lamp not to normally emit light. For example, when an inductive ballast fails, in many cases, it is a short-circuit fault, and the current flowing through the street lamp does not change significantly. Therefore, if the electronic ballast of the street lamp fails or the inductive ballast fails, the failure detection cannot be performed in the above manner, in other words, the failure detection of the street lamp by the above method has a problem of high false-positive rate.
Disclosure of Invention
The invention aims to provide an intelligent street lamp fault detection method based on the Internet of things.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention discloses an intelligent street lamp fault detection method based on the Internet of things, which comprises the following steps:
step S1: establishing a street lamp network, and embedding a street lamp fault detection device in each street lamp pole;
step S2: when the street lamp starting requirement is met, starting the street lamp and triggering a fault detection system switch;
step S3: the street lamp fault detection device analyzes data transmitted by the sensors and judges whether the data are in a reasonable range;
step S4: if any data exceeds a threshold value, sending alarm information and related fault data parameters to a street lamp control box in an effective range through a ZigBee module in the device;
step S5: the street lamp control box sends maintenance information to the satellite through the Internet of things in the form of a short message after receiving the information of the detection and alarm device;
step S6: the satellite sends the maintenance information to a street lamp management data and log server, and the server generates an alarm message;
step S7: the alarm message is transmitted to corresponding maintenance personnel through a satellite short message mechanism.
Preferably, in step S3, the sensor includes a light sensor, a temperature and humidity sensor, a battery capacity detection sensor, and a current sensor; the light sensor is used for detecting the expression form of the street lamp failure; the temperature and humidity sensor is used for detecting the temperature in the street lamp body and breaking the circuit; the storage battery electric quantity detection sensor is used for monitoring the electric quantity of the storage battery of the control circuit; the current sensor is used for detecting the actual current change characteristic curve of the target street lamp.
Preferably, the step of acquiring the current characteristic curve by the current sensor is as follows: collecting current signals flowing through the target street lamp for multiple times within cold starting time to obtain multiple current values corresponding to the collecting time one by one; and finishing the drawing of the actual current change characteristic curve of the target street lamp according to the current values.
Preferably, when the actual current characteristic curve of the target street lamp acquired by the current sensor is not consistent with the preset standard current change characteristic curve, it is determined that the target street lamp has a fault.
Preferably, in step S3, the street lamp fault detection device includes an intelligent power supply module, an MCU module, a radio frequency and AD conversion module, and a ZigBee transmission module; the intelligent power supply module, the MCU module, the radio frequency and AD conversion module and the ZigBee transmitting module are sequentially and bidirectionally connected; the ZigBee transmitting module transmits data collected by the sensor to the street lamp control box after A/D conversion.
Preferably, in step S5, the short message is a protocol of sixteen bytes; the protocol comprises identification and lead codes, alarm device card numbers, failure time, failure locations, failure street lamp serial numbers, failure codes and a checksum.
Preferably, in the step S6, the short message mechanism is pushed to the intelligent terminal of the maintenance staff through a satellite; the maintenance personnel inquire the approximate location of the fault through the card number of the alarm device, then find out the specific street lamp with the fault through the serial number of the street lamp, and know the fault type through the fault code of the street lamp to maintain.
The invention has the following beneficial effects:
according to the invention, the street lamp fault detection device is embedded in the lamp post of the street lamp network, and the various sensors monitor the street lamp data, so that once the abnormity is monitored and sent to the corresponding maintenance personnel in a short message form through the satellite, the maintenance personnel can quickly find out the fault street lamp and the fault reason according to the message, thereby improving the maintenance efficiency of the street lamp and reducing the workload of the maintenance personnel.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a step diagram of an intelligent street lamp fault detection method based on the internet of things.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to an intelligent street lamp fault detection method based on the internet of things, which comprises the following steps:
step S1: establishing a street lamp network, and embedding a street lamp fault detection device in each street lamp pole;
step S2: when the street lamp starting requirement is met, starting the street lamp and triggering a fault detection system switch;
step S3: the street lamp fault detection device analyzes data transmitted by the sensors and judges whether the data are in a reasonable range;
step S4: if any data exceeds a threshold value, sending alarm information and related fault data parameters to a street lamp control box in an effective range through a ZigBee module in the device;
step S5: the street lamp control box sends maintenance information to the satellite through the Internet of things in the form of a short message after receiving the information of the detection and alarm device;
step S6: the satellite sends the maintenance information to a street lamp management data and log server, and the server generates an alarm message;
step S7: the alarm message is transmitted to corresponding maintenance personnel through a satellite short message mechanism.
In step S3, the sensor includes a light sensor, a temperature and humidity sensor, a battery capacity detection sensor, and a current sensor; the light sensor is used for detecting the expression form of the fault of the street lamp, and the fault expression form can be detected by the light sensor if the fault expression form is not bright, the brightness is weakened, the flicker is caused and the like; the temperature and humidity sensor is used for detecting the temperature in the street lamp body and breaking a circuit, the lamp tube can generate heat when the street lamp works under normal conditions, the working condition of the street lamp can be judged according to the point, and once the street lamp fails and is not bright, the monitored numerical value of the temperature and humidity sensor is the same as the room temperature; the storage battery electric quantity detection sensor is used for monitoring the electric quantity of the storage battery of the monitoring control circuit; the current sensor is used for detecting the actual current change characteristic curve of the target street lamp.
The current sensor acquires a current characteristic curve according to the following steps: collecting current signals flowing through a target street lamp for multiple times within cold starting time to obtain multiple current values corresponding to the collecting time one by one; and according to the plurality of current values, drawing the actual current change characteristic curve of the target street lamp.
When the actual current characteristic curve of the target street lamp acquired by the current sensor is not matched with the preset standard current change characteristic curve, the target street lamp is determined to have a fault.
In step S3, the street lamp fault detection device includes an intelligent power supply module, an MCU module, a radio frequency and AD conversion module, and a ZigBee transmission module; the intelligent power supply module, the MCU module, the radio frequency and AD conversion module and the ZigBee transmitting module are sequentially and bidirectionally connected; the ZigBee transmitting module transmits the data collected by the sensor to the street lamp control box after A/D conversion.
In step S5, the short message is a protocol of sixteen bytes; the protocol includes an identification and a preamble 0-1Byte, an alarm device card number 2-3Byte, a failure time 4-8Byte, a failure location 9-13Byte, a failure street lamp serial number 14Byte, a failure code 15Byte and a validation and 16 Byte.
In step S6, the short message mechanism is pushed to the intelligent terminal of the maintenance staff through the satellite; the maintenance personnel inquire the approximate location of the fault through the card number of the alarm device, then find out the specific street lamp with the fault through the serial number of the street lamp, and know the fault type through the fault code of the street lamp to maintain.
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, it is understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing associated hardware, and the corresponding program may be stored in a computer-readable storage medium.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. An intelligent street lamp fault detection method based on the Internet of things is characterized by comprising the following steps:
step S1: establishing a street lamp network, and embedding a street lamp fault detection device in each street lamp pole;
step S2: when the street lamp starting requirement is met, starting the street lamp and triggering a fault detection system switch;
step S3: the street lamp fault detection device analyzes data transmitted by the sensors and judges whether the data are in a reasonable range;
step S4: if any data exceeds a threshold value, sending alarm information and related fault data parameters to a street lamp control box in an effective range through a ZigBee module in the device;
step S5: the street lamp control box sends maintenance information to the satellite through the Internet of things in the form of a short message after receiving the information of the detection and alarm device;
step S6: the satellite sends the maintenance information to a street lamp management data and log server, and the server generates an alarm message;
step S7: the alarm message is transmitted to corresponding maintenance personnel through a satellite short message mechanism.
2. The intelligent street lamp fault detection method based on the internet of things as claimed in claim 1, wherein in the step S3, the sensors include a light sensor, a temperature and humidity sensor, a battery capacity detection sensor and a current sensor; the light sensor is used for detecting the expression form of the street lamp failure; the temperature and humidity sensor is used for detecting the temperature in the street lamp body and breaking the circuit; the storage battery electric quantity detection sensor is used for monitoring the electric quantity of the storage battery of the control circuit; the current sensor is used for detecting the actual current change characteristic curve of the target street lamp.
3. The intelligent street lamp fault detection method based on the internet of things as claimed in claim 2, wherein the current sensor obtains the current characteristic curve by the following steps: collecting current signals flowing through the target street lamp for multiple times within cold starting time to obtain multiple current values corresponding to the collecting time one by one; and finishing the drawing of the actual current change characteristic curve of the target street lamp according to the current values.
4. The intelligent street lamp fault detection method based on the internet of things as claimed in claim 3, wherein when an actual current characteristic curve of a target street lamp obtained by the current sensor is not consistent with a preset standard current change characteristic curve, it is determined that the target street lamp has a fault.
5. The intelligent street lamp fault detection method based on the Internet of things of claim 1, wherein in the step S3, the street lamp fault detection device comprises an intelligent power supply module, an MCU module, a radio frequency and AD conversion module and a ZigBee transmission module; the intelligent power supply module, the MCU module, the radio frequency and AD conversion module and the ZigBee transmitting module are sequentially and bidirectionally connected; the ZigBee transmitting module transmits data collected by the sensor to the street lamp control box after A/D conversion.
6. The intelligent street lamp fault detection method based on the internet of things as claimed in claim 1, wherein in the step S5, the short message is a protocol of sixteen bytes; the protocol comprises identification and lead codes, alarm device card numbers, failure time, failure locations, failure street lamp serial numbers, failure codes and a checksum.
7. The intelligent street lamp fault detection method based on the Internet of things of claim 1 or 6, wherein in the step S6, a short message mechanism is pushed to an intelligent terminal of a maintenance worker through a satellite; the maintenance personnel inquire the approximate location of the fault through the card number of the alarm device, then find out the specific street lamp with the fault through the serial number of the street lamp, and know the fault type through the fault code of the street lamp to maintain.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112996174A (en) * | 2021-04-17 | 2021-06-18 | 深圳科宏健半导体照明有限公司 | High-heat-dissipation type explosion-proof LED industrial illuminating lamp |
CN113554191A (en) * | 2021-07-27 | 2021-10-26 | 桂林海威科技股份有限公司 | Remote monitoring method and system for equipment with light source |
CN114318547A (en) * | 2021-12-24 | 2022-04-12 | 武汉嘉仪通科技有限公司 | Infrared fast annealing furnace |
CN116437548A (en) * | 2023-06-14 | 2023-07-14 | 广东保伦电子股份有限公司 | Light fault processing method and device, electronic equipment and readable storage medium |
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