CN115471132A - Street lamp inspection method for municipal engineering of smart city - Google Patents
Street lamp inspection method for municipal engineering of smart city Download PDFInfo
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Abstract
The invention belongs to the technical field of street lamp inspection methods, and particularly relates to a street lamp inspection method for municipal engineering of smart cities; the invention is that a street lamp information collector uploads the collected street lamp operation attribute data to a smart city processing and analyzing platform for data calculation and analysis, and a corresponding fault type is obtained according to the data analysis result; the platform analyzes the specific reason of the street lamp fault, and notifies the maintenance personnel closest to the street lamp of the information through the maintenance personnel processing end module to maintain; the street lamp historical records maintained by maintenance personnel are stored in a street lamp maintenance record database; pre-judging the street lamp faults according to the street lamp maintenance record data, and performing statistical feedback on the maintenance quality of maintenance personnel according to the maintenance records of the maintenance personnel; the method not only makes overall fault type judgment and informs maintenance personnel to maintain in combination with the street lamp operation attribute data, but also can pre-judge the street lamp fault and check the maintenance quality of the maintenance personnel.
Description
Technical Field
The invention belongs to the technical field of street lamp inspection methods, and particularly relates to a street lamp inspection method for municipal engineering of smart cities.
Background
The street lamp is a public infrastructure which is often seen in daily life, provides a sense of safety when people go out at night, brings brightness to people in the course of going out, and plays a role in improving the quality of life of citizens; however, the inspection method of the street lamp is generally low in efficiency, maintenance personnel mostly carry out blind maintenance on the street lamp, maintenance time is greatly wasted, and potential trip danger can be brought to people due to untimely maintenance; in view of the large number of street lamps in cities and the complicated reasons for street lamp failures, there is a need to inspect street lamps in cities in a more efficient manner.
On one hand, the existing street lamp inspection method is single in collected running attribute data of the street lamp, does not consider the actual situation when judging that the data of the street lamp is abnormal, and does not analyze the whole running data of the street lamp; not only is the street lamp detection time wasted by maintenance personnel according to wrong data, but also the street lamp is often not judged correctly, and the situation of individual abnormal data of the street lamp is concerned too much; on the other hand, the historical data of the street lamp and the maintenance data of maintenance personnel are not integrally reserved and updated; the method lacks of prejudgment on the fault of the street lamp and an assessment standard on the maintenance quality of maintenance personnel.
Disclosure of Invention
The invention is based on the technical problems, and the street lamp inspection method for the municipal engineering of the smart city is used; the method not only makes overall fault type judgment and informs maintenance personnel of maintenance in combination with the street lamp operation attribute data, but also can pre-judge the fault of the street lamp and check the maintenance quality of the maintenance personnel.
The invention is realized by the following steps:
the invention provides a street lamp inspection method for municipal engineering of a smart city, which applies a street lamp information collector, a smart city processing and analyzing platform, a maintainer processing end module and a street lamp maintenance record database; characterized in that the method comprises the steps of:
step1, a street lamp information collector uploads street lamp operation attribute data collected in real time to a smart city processing and analyzing platform;
step2: the street lamp operation attribute data collected by the street lamp information collector is uploaded to a smart city processing and analyzing platform for calculation and analysis, and the fault type corresponding to the street lamp is determined according to the calculation data result, wherein the operation method for determining the fault type comprises the following steps:
step 2.1: the street lamp operation attribute data are uploaded to a smart city processing and analyzing platform;
step 2.2: the smart city processing and analyzing platform is used for calculating, processing and analyzing the street lamp operation attribute data;
step 2.3: determining the fault type corresponding to the street lamp according to the calculation result;
and 3, step3: identifying and judging the fault type corresponding to the street lamp, if the fault type is a street lamp unlighted type, extracting a corresponding processing method from the smart city processing and analyzing platform, further adjusting according to the processing method, and executing the step 4; if the street lamp is of the dark and bright type, extracting a corresponding processing method from the smart city processing and analyzing platform, further adjusting according to the processing method, and executing the step5; if the type is a dual type, extracting a corresponding processing method from the smart city processing and analyzing platform, further adjusting according to the processing method, and executing the step4 firstly and then executing the step5;
and 4, step4: the fault type corresponding to the street lamp is a street lamp unlighted type; the smart city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, and informs a maintenance person closest to the street lamp of information through the maintenance person processing end module to maintain;
and 5: the fault type corresponding to the street lamp is a street lamp dark and bright type; the smart city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, and informs a maintenance worker nearest to the street lamp to maintain through the maintenance worker processing end module;
step 6: the street lamp historical records maintained by maintenance personnel are stored in a street lamp maintenance record database.
According to an implementation manner of the aspect of the present invention, the specific operation method for acquiring the street lamp operation attribute data by the street lamp information acquisition device in step1 includes:
the street lamp information collector collects street lamp operation attribute data in real time, wherein the street lamp operation attribute data comprises current, voltage, illumination intensity, weather temperature, humidity and the like of a street lamp; marking data collected by street lamps
β, wherein β =0,1,2, ·, n; n is a positive integer and represents the maximum value of the value of beta in the data collected by the street lamp; each street lamp corresponds to one street lamp information collector, and the street lamp information collectors have a positioning function inside.
According to an implementation manner of the aspect of the present invention, the method for calculating, processing, analyzing and operating the street lamp operation attribute data by the intelligent city processing and analyzing platform in step 2.2 includes:
the street lamp information collector collects street lamp operation attribute data in real time and uploads the street lamp operation attribute data to the smart city processing and analyzing platform for calculation; calculating street lamp data, and mainly processing the street lamp data by taking current, voltage and illumination intensity as main data;
the flow of calculating the street lamp data is as follows:
step1, comparing the street lamp operation attribute data acquired in real time with a standard range preset by a smart city processing and analyzing platform;
step2: if the collected street lamp operation attribute data are within a standard range preset by the smart city processing and analyzing platform, returning to execute Step1; if the collected street lamp operation attribute data are not in the standard range preset by the smart city processing and analyzing platform, executing Step3;
step3: when the street lamp operation attribute data are abnormal from the acquisition, the acquisition frequency is changed from real-time acquisition to the acquisition of the average number of the street lamp operation attribute data within 1 minute; comparing the average with a standard range preset by a smart city processing and analyzing platform;
step4: if the average number of the collected street lamp operation attribute data within 1 minute is within a standard range preset by the smart city processing and analyzing platform, executing Step1; if the collected street lamp operation attribute data are not in the standard range preset by the smart city processing analysis platform, and Step5 is executed;
step5: and determining the fault type corresponding to the street lamp according to the abnormal operation attribute data of the street lamp.
According to an implementation manner of the aspect of the present invention, the operation method for determining the fault type corresponding to the street lamp in step 2.3 includes:
the average number of the current and voltage in the street lamp operation attribute data within 1 minute is not in a standard range preset by the smart city processing analysis platform, and the corresponding fault type of the street lamp is a street lamp non-lighting type; the average number of the illumination intensity in the street lamp operation attribute data within 1 minute is not within a standard range preset by the smart city processing and analyzing platform, and the corresponding fault type of the street lamp is a street lamp non-lighting type; the average number of the current, the voltage and the illumination intensity in the street lamp operation attribute data within 1 minute is not within a standard range preset by the smart city processing and analyzing platform, and the corresponding fault type of the street lamp is a double fault type.
According to an implementation manner of the aspect of the present invention, the specific operation method of the unlit type of the street lamp in step4 includes:
the fault type corresponding to the street lamp is a street lamp unlighted type; the method mainly comprises the steps of judging the data abnormality of current and voltage; the intelligent city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, informs maintenance personnel nearest to the street lamp to maintain through the maintenance personnel processing end module, each maintenance personnel has a unique serial number, and when the maintenance personnel receive the information of maintaining the street lamp, the serial number of the maintenance personnel is bound with the information of maintaining the street lamp and recorded in a street lamp maintenance record database;
the position of street lamp is fixed a position well through street lamp information collector, and the information that wisdom city was handled analysis platform and is handled the end module through the maintainer and send for maintenance personal, and the information includes: street lamp fault time, street lamp positioning position, street lamp fault specific reason, distance from the road to the fault street lamp, historical record maintenance data and other information; marking the information processed by the smart city processing analysis platform as U i Wherein i =0,1,2, ·, n; and n is a positive integer and represents the maximum value of the value of i in the information processed by the smart city processing and analyzing platform.
According to an implementation manner of the aspect of the present invention, the specific operation method of the street lamp dark and bright type in step5 includes:
the fault type corresponding to the street lamp is a street lamp dark and bright type, and the abnormal data of the illumination intensity is mainly judged; the intelligent city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, informs maintenance personnel nearest to the street lamp to maintain through the maintenance personnel processing end module, each maintenance personnel has a unique serial number, and when the maintenance personnel receive the information of maintaining the street lamp, the serial number of the maintenance personnel and the information of the maintained street lamp are bound and recorded in the street lamp maintenance record database; compared with the type of the street lamp which is not bright, the type of the street lamp which is dark and bright is the type which takes fewer internal faults into consideration when maintenance personnel maintain; the street lamp non-lighting type is the situation that the street lamp is not lighted under the power-on condition, and maintenance personnel clearly know the reason of the street lamp non-lighting according to the processing of the platform on the street lamp data, so that the detection efficiency is greatly improved; when seeing the specific abnormal data of the street lamp fault, maintenance personnel can easily and clearly know the maintenance position and the maintenance method by combining own experience; the street lamp dim light type is that the illumination intensity of the street lamp does not reach the standard preset by the platform under the condition of electrification, but the current and the voltage of the street lamp are normal generally, so that maintenance personnel are relatively easier to maintain during maintenance, and the street lamp dim light reason or the situation that thick dust exists on the upper surface of a lampshade of the street lamp along with time and the like exist; the dark and bright types of the street lamps are also treated by maintenance personnel according to different emergency situations, and if the street lamps do not belong to special road sections or emergency situations, the maintenance personnel maintain the street lamps which influence people to go out according to municipal requirements and priority;
the position of street lamp is fixed a position well through street lamp information collector, and the information that wisdom city was handled analysis platform and is handled the end module through the maintainer and send for maintenance personal, and the information includes: street lamp fault time, street lamp positioning position, street lamp fault specific reason, distance from the street lamp to the fault nearest, historical record maintenance data and other information; marking the information processed by the smart city processing and analyzing platform as U i Wherein i =0,1,2, · n; and n is a positive integer and represents the maximum value of the value of i in the information processed by the smart city processing and analyzing platform.
According to an implementation manner of the aspect of the present invention, the specific operation method of the database of the street lamp maintenance records in step 6 includes:
the street lamp maintenance record database comprises street lamp maintenance record data and maintenance personnel maintenance records; the street lamp maintenance record data comprises information such as time when a street lamp fails, street lamp failure reasons, street lamp failure times and the like; the street lamp maintenance record data is marked as Xa, wherein a =0,1,2,. Once, n; n is a positive integer and represents the maximum value of a dereferencing in the street lamp maintenance record data; the maintenance records of the maintenance personnel comprise information such as the average time for the maintenance personnel to maintain a fault street lamp, the interval time for the maintenance personnel to maintain a fault street lamp and the total failure rate of the maintenance personnel to maintain the street lamp again; marking the maintenance record data of the street lamp as theta j Wherein j =0,1,2, · n; n is a positive integer and represents the maximum value of j in the street lamp maintenance record data; pre-judging the street lamp fault according to the street lamp maintenance record data, and performing statistical feedback on the maintenance quality of maintenance personnel according to the maintenance record of the maintenance personnel;
when the collected street lamp operation attribute data is similar to the generated street lamp maintenance record data, warning maintenance personnel of the street lamp fault occurrence condition in advance through a maintenance personnel processing end module; the similarity is a deviation value of the two expressed values, and the smaller the deviation value is, the street lamp fault data is close to the street lamp fault data which has already occurred, and the street lamp fault probability is high at the moment; if the deviation value kappa is less than 5%, warning maintenance personnel of the street lamp fault occurrence condition in advance through the maintenance personnel processing end module;
according to the calculation formula:
tau represents the operation attribute data generated by the fault of the street lamp;
k represents the deviation value of the collected street lamp operation attribute data and the operation attribute data generated by the fault;
the maintenance quality of maintenance personnel is counted and fed back through a street lamp maintenance record database; the method mainly comprises the following steps that the average time of a maintenance person maintaining a fault street lamp, the interval time of the maintenance person maintaining a fault street lamp and the total street lamp re-fault rate after the maintenance person maintains the fault street lamp are mainly solved; according to the service durability of the street lamp, the time range of the examination and maintenance personnel is set to be within 3 months, 6 months and 1 year; if the maintenance personnel are within the time range, the average time for maintaining one street lamp is long, the recurrence interval time of the maintained street lamp is short, and the recurrence rate of the maintained total street lamp is high, the maintenance personnel need maintenance training again, and then the maintenance personnel are on duty; the definition confirms that the maintenance time, the interval time and the street lamp secondary failure rate are in a high-low range, and needs to be combined with specific actual operation or arranged according to the examination requirements of maintenance personnel from top to bottom.
A cloud system calculates and analyzes street lamp operation attribute data according to a smart city processing and analyzing platform, quickly determines street lamp fault types and processes the street lamp faults; and inspecting the street lamp through cloud computing and analysis.
Based on any one of the aspects, the invention has the beneficial effects that:
1. the invention is that a street lamp information collector uploads the collected street lamp operation attribute data to a smart city processing and analyzing platform for data calculation and analysis, and a corresponding fault type is obtained according to the data analysis result; the platform analyzes the specific reason of the street lamp fault, and notifies the maintenance personnel closest to the street lamp of the information through the maintenance personnel processing end module to maintain; the method has the advantages that the collected running attribute data of the street lamps are various, the data abnormality of the street lamps is judged, the actual situation is considered, and the whole running data of the street lamps are analyzed; the method not only saves the street lamp detection time for maintenance personnel according to correct data, but also judges the street lamp correctly and eliminates the condition of individual abnormal data of the street lamp.
2. According to the invention, the historical records of the street lamps maintained by maintenance personnel are stored in a street lamp maintenance record database; pre-judging the street lamp faults according to the street lamp maintenance record data, and performing statistical feedback on the maintenance quality of maintenance personnel according to the maintenance records of the maintenance personnel; the method integrally retains and updates the historical data of the street lamps and the maintenance data of maintenance personnel; the method increases the prejudgment of the fault of the street lamp and the examination standard of the maintenance quality of the maintenance personnel.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a flow chart of the method steps of the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, a street lamp inspection method for municipal engineering of smart cities, which applies a street lamp information collector, a smart city processing analysis platform, a maintainer processing end module and a street lamp maintenance record database; characterized in that the method comprises the following steps:
step1, a street lamp information collector uploads street lamp operation attribute data collected in real time to a smart city processing and analyzing platform;
in a specific embodiment of the present invention, the specific operation method for acquiring the street lamp operation attribute data by the street lamp information collector in step1 includes:
the street lamp information collector collects street lamp operation attribute data in real time, wherein the street lamp operation attribute data comprises current, voltage, illumination intensity, weather temperature, humidity and the like of a street lamp; marking the data collected by the street lamp
β, wherein β =0,1,2, ·, n; n is a positive integer and represents the maximum value of the value of beta in the data collected by the street lamp; each street lamp corresponds to one street lamp information collector, and the street lamp information collectors have a positioning function inside.
Step2: the street lamp operation attribute data collected by the street lamp information collector is uploaded to a smart city processing and analyzing platform for calculation and analysis, and the fault type corresponding to the street lamp is determined according to the calculation data result, wherein the operation method for determining the fault type comprises the following steps:
step 2.1: uploading the street lamp operation attribute data to a smart city processing and analyzing platform;
step 2.2: the smart city processing and analyzing platform is used for calculating, processing and analyzing the street lamp operation attribute data;
in a specific embodiment of the present invention, the method for calculating, processing, analyzing and operating the street lamp operation attribute data by the intelligent city processing and analyzing platform in step 2.2 includes:
the street lamp information collector collects street lamp operation attribute data in real time and uploads the street lamp operation attribute data to the smart city processing and analyzing platform for calculation; calculating street lamp data, and mainly processing the street lamp data by taking current, voltage and illumination intensity as main data;
the flow of calculating the street lamp data is as follows:
step1, comparing the street lamp operation attribute data acquired in real time with a standard range preset by a smart city processing analysis platform;
step2: if the collected street lamp operation attribute data are within a standard range preset by the smart city processing and analyzing platform, returning to execute Step1; if the collected street lamp operation attribute data are not in the standard range preset by the smart city processing and analyzing platform, executing Step3;
step3: when the street lamp operation attribute data are abnormal from the acquisition, the acquisition frequency is changed from real-time acquisition to the acquisition of the average number of the street lamp operation attribute data within 1 minute; comparing the average with a standard range preset by a smart city processing and analyzing platform;
step4: if the average number of the collected street lamp operation attribute data within 1 minute is within a standard range preset by the smart city processing and analyzing platform, executing Step1; if the collected street lamp operation attribute data are not in the standard range preset by the smart city processing analysis platform, and Step5 is executed;
step5: and determining the fault type corresponding to the street lamp according to the abnormal operation attribute data of the street lamp.
Step 2.3: determining the fault type corresponding to the street lamp according to the calculation result;
in a specific embodiment of the present invention, the operation method for determining the fault type corresponding to the street lamp in step 2.3 includes:
the average number of the current and voltage in the street lamp operation attribute data within 1 minute is not in a standard range preset by the smart city processing analysis platform, and the corresponding fault type of the street lamp is a street lamp non-lighting type; the average number of the illumination intensity in the street lamp operation attribute data within 1 minute is not within a standard range preset by the smart city processing and analyzing platform, and the corresponding fault type of the street lamp is a street lamp non-lighting type; the average number of the current, the voltage and the illumination intensity in the street lamp operation attribute data within 1 minute is not within a standard range preset by the smart city processing analysis platform, and the corresponding fault type of the street lamp is a double fault type.
And step3: identifying and judging the fault type corresponding to the street lamp, if the fault type is a street lamp unlighted type, extracting a corresponding processing method from the smart city processing and analyzing platform, further adjusting according to the processing method, and executing the step 4; if the street lamp is of the dark and bright type, extracting a corresponding processing method from the smart city processing and analyzing platform, further adjusting according to the processing method, and executing the step5; if the type is a dual type, extracting a corresponding processing method from the smart city processing and analyzing platform, further adjusting according to the processing method, and executing the step4 firstly and then executing the step5;
and 4, step4: the fault type corresponding to the street lamp is a street lamp unlighted type; the smart city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, and informs a maintenance person closest to the street lamp of information through the maintenance person processing end module to maintain;
in a specific embodiment of the present invention, the specific operation method of the street lamp unlighted type in step4 includes:
the fault type corresponding to the street lamp is a street lamp unlighted type; the method mainly comprises the steps of judging the data abnormality of current and voltage; the intelligent city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, informs maintenance personnel nearest to the street lamp to maintain through the maintenance personnel processing end module, each maintenance personnel has a unique serial number, and when the maintenance personnel receive the information of maintaining the street lamp, the serial number of the maintenance personnel and the information of the maintained street lamp are bound and recorded in the street lamp maintenance record database;
the position of street lamp is fixed a position well through street lamp information collector, and the information that wisdom city was handled analysis platform and is handled the end module through the maintainer and send for maintenance personal, and the information includes: street lamp fault time, street lamp positioning position, street lamp fault specific reason, distance from the street lamp to the fault nearest, historical record maintenance data and other information; marking the information processed by the smart city processing and analyzing platform as U i Wherein i =0,1,2, ·, n; and n is a positive integer and represents the maximum value of the value of i in the information processed by the smart city processing and analyzing platform.
And 5: fault type corresponding to road lamp the street lamp is of a dark and bright type; the smart city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, and informs a maintenance person closest to the street lamp of information through the maintenance person processing end module to maintain;
in a specific embodiment of the present invention, the specific operation method of the street lamp dark and bright type in step5 includes:
the fault type corresponding to the street lamp is a street lamp dark and bright type, and the abnormal data of the illumination intensity is mainly judged; the intelligent city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, informs maintenance personnel nearest to the street lamp to maintain through the maintenance personnel processing end module, each maintenance personnel has a unique serial number, and when the maintenance personnel receive the information of maintaining the street lamp, the serial number of the maintenance personnel and the information of the maintained street lamp are bound and recorded in the street lamp maintenance record database; compared with the type of the street lamp which is not bright, the type of the street lamp which is dark and bright is the type which takes fewer internal faults into consideration when maintenance personnel maintain; the street lamp non-lighting type is the situation that the street lamp is not lighted under the power-on condition, and maintenance personnel clearly know the reason of the street lamp non-lighting according to the processing of the platform on the street lamp data, so that the detection efficiency is greatly improved; when seeing the specific abnormal data of the street lamp fault, maintenance personnel can easily and clearly know the maintenance position and the maintenance method by combining own experience; the street lamp dim light type is that the illumination intensity of the street lamp does not reach the standard preset by the platform under the condition of electrification, but the current and the voltage of the street lamp are normal generally, so that maintenance personnel are relatively easier to maintain during maintenance, and the street lamp dim light reason or the situation that thick dust exists on the upper surface of a lampshade of the street lamp along with time and the like exist; the dark and bright types of the street lamps are also treated by maintenance personnel according to different emergency situations, and if the street lamps do not belong to special road sections or emergency situations, the maintenance personnel maintain the street lamps which influence people to go out according to municipal requirements and priority;
the position of street lamp is fixed a position well through street lamp information collector, and the information that wisdom city was handled analysis platform and is handled the end module through the maintainer and send for maintenance personal, and the information includes: street lamp fault time, street lamp positioning position, street lamp fault specific reason, distance from the street lamp to the fault nearest, historical record maintenance data and other information; marking the information processed by the smart city processing and analyzing platform as U i Wherein i =0,1,2, · n; and n is a positive integer and represents the maximum value of the value of i in the information processed by the smart city processing and analyzing platform.
Step 6: the street lamp historical records maintained by maintenance personnel are stored in a street lamp maintenance record database.
In a specific embodiment of the present invention, the specific operation method of the database of the street lamp maintenance records in step 6 includes:
the street lamp maintenance record database comprises street lamp maintenance record data and maintenance personnelPersonnel maintenance records; the street lamp maintenance record data comprises information such as time when a street lamp fails, street lamp failure reasons, street lamp failure times and the like; the street lamp repair record data is labeled Xa, where a =0,1,2. n is a positive integer and represents the maximum value of a values in the street lamp maintenance record data; the maintenance records of the maintenance personnel comprise information such as the average time for the maintenance personnel to maintain a fault street lamp, the interval time for the maintenance personnel to maintain a fault street lamp and the total failure rate of the maintenance personnel to maintain the street lamp again; marking the maintenance record data of the street lamp as theta j Wherein j =0,1,2, ·, n; n is a positive integer and represents the maximum value of the value of j in the street lamp maintenance record data; and pre-judging the street lamp faults according to the street lamp maintenance record data, and performing statistical feedback on the maintenance quality of maintenance personnel according to the maintenance records of the maintenance personnel.
When the collected street lamp operation attribute data are similar to the generated street lamp maintenance record data, warning maintenance personnel of the street lamp fault occurrence condition in advance through a maintenance personnel processing end module; the similarity is a deviation value of the two expressed values, and the smaller the deviation value is, the street lamp fault data is close to the street lamp fault data which has already occurred, and the street lamp fault probability is high at the moment; if the deviation value kappa is less than 5%, the street lamp fault occurrence condition can be warned by maintenance personnel in advance through the maintenance personnel processing end module;
according to the calculation formula:
tau represents operation attribute data generated by the fault of the street lamp;
kappa represents a deviation value of the collected street lamp operation attribute data and the operation attribute data generated by fault occurrence;
the maintenance quality of maintenance personnel is counted and fed back through a street lamp maintenance record database; the method mainly comprises the following steps that the average time of a maintenance person maintaining a fault street lamp, the interval time of the maintenance person maintaining a fault street lamp and the total street lamp re-fault rate after the maintenance person maintains the fault street lamp are mainly solved; according to the service durability of the street lamp, the time range of the examination and maintenance personnel is set to be within 3 months, 6 months and 1 year; if the maintenance personnel are within the time range, the average time for maintaining one street lamp is long, the recurrence interval time of the maintained street lamp is short, and the recurrence rate of the maintained total street lamp is high, the maintenance personnel need maintenance training again, and then the maintenance personnel are on duty; the definition confirms the maintenance time, the interval time and the street lamp secondary failure rate range, and needs to be combined with specific actual operation or arranged from top to bottom according to the examination requirements of maintenance personnel.
A cloud system calculates and analyzes street lamp operation attribute data according to a smart city processing and analyzing platform, quickly determines street lamp fault types and processes the street lamp faults; and inspecting the street lamp through cloud computing and analysis.
The invention relates to a street lamp information collector which uploads the collected street lamp operation attribute data to a smart city processing and analyzing platform, performing data calculation and analysis, and obtaining a corresponding fault type according to a data analysis result; the platform analyzes the specific reason of the street lamp fault, and notifies the maintenance personnel closest to the street lamp of the information through the maintenance personnel processing end module to maintain; the street lamp historical records maintained by maintenance personnel are stored in a street lamp maintenance record database; pre-judging the street lamp faults according to the street lamp maintenance record data, and performing statistical feedback on the maintenance quality of maintenance personnel according to the maintenance records of the maintenance personnel; the method not only makes overall fault type judgment and informs maintenance personnel to maintain in combination with the street lamp operation attribute data, but also can pre-judge the street lamp fault and check the maintenance quality of the maintenance personnel.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.
Claims (9)
1. A street lamp inspection method for municipal engineering of smart cities is disclosed, which applies a street lamp information collector, a smart city processing analysis platform, a maintainer processing end module and a street lamp maintenance record database; characterized in that the method comprises the steps of:
step1, a street lamp information collector uploads street lamp operation attribute data collected in real time to a smart city processing and analyzing platform;
and 2, step: the street lamp operation attribute data collected by the street lamp information collector is uploaded to a smart city processing and analyzing platform for calculation and analysis, and the fault type corresponding to the street lamp is determined according to the calculation data result, wherein the operation method for determining the fault type comprises the following steps:
step 2.1: the street lamp operation attribute data are uploaded to a smart city processing and analyzing platform;
step 2.2: the smart city processing and analyzing platform is used for calculating, processing and analyzing the street lamp operation attribute data;
step 2.3: determining the fault type corresponding to the street lamp according to the calculation result;
and step3: identifying and judging the fault type corresponding to the street lamp, if the fault type is a street lamp unlighted type, extracting a corresponding processing method from the smart city processing and analyzing platform, further adjusting according to the processing method, and executing the step 4; if the street lamp is of the dark and bright type, extracting a corresponding processing method from the smart city processing and analyzing platform, further adjusting according to the processing method, and executing the step5; if the type is a dual type, extracting a corresponding processing method from the smart city processing and analyzing platform, further adjusting according to the processing method, and executing the step4 firstly and then executing the step5;
and 4, step4: the fault type corresponding to the street lamp is a street lamp unlighted type; the smart city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, and informs a maintenance worker nearest to the street lamp to maintain through the maintenance worker processing end module;
and 5: the fault type corresponding to the street lamp is a street lamp dark and bright type; the smart city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, and informs a maintenance person closest to the street lamp of information through the maintenance person processing end module to maintain;
step 6: the street lamp historical records maintained by maintenance personnel are stored in a street lamp maintenance record database.
2. The method of claim 1, wherein the method comprises the following steps: the specific operation method for acquiring the street lamp operation attribute data through the street lamp information acquisition device in the step1 comprises the following steps:
the street lamp information collector collects street lamp operation attribute data in real time, wherein the street lamp operation attribute data comprises current, voltage, illumination intensity, weather temperature, humidity and the like of a street lamp; marking the data collected by the street lamp
Wherein β =0,1,2, ·, n; n is a positive integer and represents the maximum value of the value of beta in the data collected by the street lamp; each street lamp corresponds to one street lamp information collector, and the street lamp information collectors have a positioning function inside.
3. The method of claim 1, wherein the method comprises the following steps: the method for calculating, processing and analyzing the street lamp operation attribute data by the intelligent city processing and analyzing platform in the step 2.2 comprises the following steps:
the street lamp information collector collects street lamp operation attribute data in real time and uploads the street lamp operation attribute data to the smart city processing and analyzing platform for calculation; calculating street lamp data, and mainly processing the street lamp data by taking current, voltage and illumination intensity as main data;
the flow of calculating the street lamp data is as follows:
step1, comparing the street lamp operation attribute data acquired in real time with a standard range preset by a smart city processing and analyzing platform;
step2: if the collected street lamp operation attribute data are within a standard range preset by the smart city processing and analyzing platform, returning to execute Step1; if the collected street lamp operation attribute data are not in the standard range preset by the smart city processing and analyzing platform, executing Step3;
step3: when the street lamp operation attribute data are abnormal from the acquisition, the acquisition frequency is changed from real-time acquisition to the acquisition of the average number of the street lamp operation attribute data within 1 minute; comparing the average with a standard range preset by a smart city processing and analyzing platform;
step4: if the average number of the collected street lamp operation attribute data within 1 minute is within a standard range preset by the smart city processing and analyzing platform, executing Step1; if the collected street lamp operation attribute data are not in the standard range preset by the smart city processing and analyzing platform, executing Step5;
step5: and determining the fault type corresponding to the street lamp according to the abnormal operation attribute data of the street lamp.
4. The method of claim 1, wherein the method comprises the following steps: the operation method for determining the fault type corresponding to the street lamp in the step 2.3 comprises the following steps:
the average number of the current and the voltage in the street lamp operation attribute data within 1 minute is not in a standard range preset by the smart city processing analysis platform, and the corresponding fault type of the street lamp is a street lamp non-lighting type; the average number of the illumination intensity in the street lamp operation attribute data within 1 minute is not within a standard range preset by the smart city processing and analyzing platform, and the corresponding fault type of the street lamp is a street lamp non-lighting type; the average number of the current, the voltage and the illumination intensity in the street lamp operation attribute data within 1 minute is not within a standard range preset by the smart city processing and analyzing platform, and the corresponding fault type of the street lamp is a double fault type.
5. The street lamp inspection method for the municipal engineering of the smart city according to claim 1, characterized in that: the specific operation method of the street lamp unlighted type in the step4 comprises the following steps:
the fault type corresponding to the street lamp is a street lamp unlighted type; the method mainly comprises the steps of judging the data abnormality of current and voltage; the intelligent city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, informs maintenance personnel nearest to the street lamp to maintain through the maintenance personnel processing end module, each maintenance personnel has a unique serial number, and when the maintenance personnel receive the information of maintaining the street lamp, the serial number of the maintenance personnel and the information of the maintained street lamp are bound and recorded in the street lamp maintenance record database;
the position of street lamp is fixed a position well through street lamp information collector, and the information that wisdom city was handled analysis platform and is handled the end module through the maintainer and send for maintenance personal, and the information includes: street lamp fault time, street lamp positioning position, street lamp fault specific reason, distance from the street lamp to the fault nearest, historical record maintenance data and other information; marking the information processed by the smart city processing and analyzing platform as U i Wherein i =0,1,2, ·, n; and n is a positive integer and represents the maximum value of the value of i in the information processed by the smart city processing and analyzing platform.
6. The method of claim 1, wherein the method comprises the following steps: the specific operation method of the street lamp dark and bright type in the step5 comprises the following steps:
the fault type corresponding to the street lamp is a street lamp dark and bright type, and the abnormal data of the illumination intensity is mainly judged; the intelligent city processing and analyzing platform processes the street lamp operation attribute data, analyzes the specific reason of the street lamp fault, informs maintenance personnel nearest to the street lamp to maintain through the maintenance personnel processing end module, each maintenance personnel has a unique serial number, and when the maintenance personnel receive the information of maintaining the street lamp, the serial number of the maintenance personnel and the information of the maintained street lamp are bound and recorded in the street lamp maintenance record database; compared with the type of the street lamp which is not bright, the type of the street lamp which is dark and bright is the type which takes fewer internal faults into consideration when maintenance personnel maintain;
the position of street lamp is fixed a position well through street lamp information collector, and the information that wisdom city was handled analysis platform and is handled the end module through the maintainer and send for maintenance personal, and the information includes: street lamp fault time, street lamp positioning position, street lamp fault specific reason, distance from the street lamp to the fault nearest, historical record maintenance data and other information; marking the information processed by the smart city processing and analyzing platform as U i Wherein i =0,1,2, ·, n; and n is a positive integer and represents the maximum value of the value of i in the information processed by the smart city processing and analyzing platform.
7. The method of claim 1, wherein the method comprises the following steps: the specific operation method of the street lamp maintenance record database in the step 6 comprises the following steps:
the street lamp maintenance record database comprises street lamp maintenance record data and maintenance personnel maintenance records; the street lamp maintenance record data comprises information such as time when a street lamp fails, street lamp failure reasons, street lamp failure times and the like; the street lamp maintenance record data is marked as Xa, wherein a =0,1,2,. Once, n; n is a positive integer and represents the maximum value of a values in the street lamp maintenance record data; the maintenance records of the maintenance personnel comprise information such as the average time for the maintenance personnel to maintain a fault street lamp, the interval time for the maintenance personnel to maintain a fault street lamp and the total failure rate of the maintenance personnel to maintain the street lamp again; marking the maintenance record data of the street lamp as theta j Wherein j =0,1,2, ·, n; n is a positive integer and represents the maximum value of the value of j in the street lamp maintenance record data; and pre-judging the street lamp faults according to the street lamp maintenance record data, and performing statistical feedback on the maintenance quality of maintenance personnel according to the maintenance records of the maintenance personnel.
8. A cloud system, characterized in that: calculating and analyzing the street lamp operation attribute data according to the smart city processing and analyzing platform, quickly determining the street lamp fault type and processing the street lamp fault; the street lamp inspection method for the municipal engineering of the smart city as claimed in any one of claims 1 to 7 is implemented by cloud computing and analysis.
9. A cloud system, characterized in that: the method for inspecting the street lamp by means of the cloud computing and analyzing service program comprises the street lamp inspection method of the smart city municipal engineering claimed in any one of claims 1 to 7.
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