CN114062837A - Urban road and park lighting system monitoring method and device based on big data - Google Patents
Urban road and park lighting system monitoring method and device based on big data Download PDFInfo
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Abstract
The invention relates to a method for monitoring an urban road and park lighting system based on big data, which comprises the following steps: pre-partitioning an urban road and a park lighting system to obtain a plurality of monitoring sections; acquiring monitoring data of each monitoring device every other first threshold time T; judging whether the current monitoring device has power utilization abnormity according to the three-phase current information and the instantaneous current information; positioning a monitoring interval with a fault position according to the abnormal power utilization condition; and storing the monitoring interval with the fault position and the related data of the corresponding monitoring device. Firstly, judge whether monitoring devices position has the power consumption abnormal conditions, secondly, can be according to the power consumption abnormal conditions to having the monitoring interval of power consumption abnormality to fix a position fast, at last with above-mentioned unusual data save for relevant personnel carry out the analysis, can in time carry out the prediction feedback to the power consumption abnormal conditions, and then in time handle, ensure that urban road and park illumination are effectual going on.
Description
Technical Field
The invention relates to the technical field of smart cities, in particular to a method and a device for monitoring urban road and park lighting systems based on big data.
Background
The urban street lamps and the parks have wide lighting lines, large quantity and large potential electric shock risk, and particularly in the flood season, the street lamps have the accident of damaging people by electric leakage. Until now, no effective control measures exist in the industry.
The most effective way to prevent the electric leakage accident is to install an electric leakage protector in the line. However, the road lamp has long lines and a plurality of interfaces, so that the leakage current to the ground is large and unstable, sometimes large or small, and frequent tripping is easy to happen when a common leakage protector is installed. In a wet environment, the current leakage from each interface in the line may increase further. In addition, a common leakage protector is installed, and sometimes, power is not supplied, so that a line fault point is not easy to find. Therefore, the general street lamp circuit is not provided with the earth leakage protector, but only adopts grounding or zero connection protection. In the actual accident of hurting people due to street lamp leakage, the damaged point of the cable (wire) or the joint with insufficient waterproof grade is mostly soaked in water, the grounding or zero connection of the lamp post cannot play a sufficient protection role at the moment, and the common method is to disconnect the main switch of the line of the flooded street lamp in time. If the circuit can not be cut off in time, the leakage of electricity can cause the electric shock and the death of passers-by.
How to predict and feed back the abnormal condition of power utilization in time and then process the abnormal condition in time is a problem which needs to be solved urgently in the field.
Disclosure of Invention
The invention aims to solve at least one of the defects of the prior art and provides a method and a device for monitoring an urban road and park lighting system based on big data.
In order to achieve the purpose, the invention adopts the following technical scheme:
specifically, a method for monitoring an urban road and park lighting system based on big data is provided, which comprises the following steps:
pre-partitioning an urban road and park lighting system to obtain a plurality of monitoring sections, arranging a monitoring device at the street lamp position at the head and tail positions of each monitoring section, and numbering each monitoring device;
acquiring monitoring data of each monitoring device every a first threshold time T, wherein the monitoring data comprises three-phase current information and instantaneous current information of the monitoring device;
judging whether the current monitoring device has power utilization abnormity according to the three-phase current information and the instantaneous current information;
if the current monitoring position exists, acquiring the abnormal electricity utilization condition of the monitoring device at the position adjacent to the current monitoring position, and positioning the monitoring section with the fault position according to the abnormal electricity utilization condition;
and storing the monitoring interval with the fault position and the related data of the corresponding monitoring device.
Further, specifically, the method for judging whether the current monitoring device has abnormal power utilization according to the three-phase current information and the instantaneous current information comprises the following steps,
judging whether the three-phase current is balanced or not according to the three-phase current information;
judging whether the instantaneous current is abnormal or not according to the instantaneous current information;
and when the current monitoring device at least has one of unbalanced three-phase current or abnormal instantaneous current, judging that the current monitoring device has abnormal electricity utilization.
Further, specifically, the determining whether the instantaneous current is abnormal according to the instantaneous current information includes the following steps,
intercepting fixed time t as initial time, taking the moment as an origin of coordinates, the moment as a horizontal axis and instantaneous current information as a vertical axis to obtain discrete points of each moment in a two-dimensional coordinate system within a (t-NT, t + NT) time range;
performing data fitting on the discrete points to obtain a fitting line in a (t-NT, t + NT) time range;
and predicting the instantaneous current value in the time range of (t +2NT, t +3NT) by taking the fit line as a prediction line, wherein the prediction criterion is that the shortest distance from a point in the time range of (t +2NT, t +3NT) to the fit line is calculated, and when the shortest distance is higher than a preset second threshold value, the instantaneous current is judged to be abnormal.
Further, the specific manner of fitting the data to the discrete points to obtain a fit line includes the following,
obtaining a data set (x) to be fittedi，Qi) Wherein x isiTaking (t-NT, t + NT), QiIs the corresponding instantaneous current value;
let the fitted curve be p (x) ═ a0+a1x+a2x2The mean square error of fitting curve and data set is determined
Obtained according to the optimal fitting and combining the extreme value,
and (3) obtaining a fitting normal equation by sorting:
wherein QiIs yi；
And obtaining a fitting function p (x) corresponding to the mean square error through a solution equation, and finishing fitting to obtain a fitting curve.
Further, specifically, the monitoring section with the fault position is positioned according to the abnormal power utilization condition, including,
the method comprises the steps of obtaining the position of a monitoring device with abnormal electricity utilization, if the monitoring devices at adjacent positions are abnormal, the monitoring interval numbered between the monitoring devices at the adjacent positions is the monitoring interval of a fault position, and if only one monitoring device at the monitoring devices at the adjacent positions is abnormal, the two adjacent monitoring intervals with the abnormal monitoring device as the middle position are the monitoring interval of the fault position.
Further, specifically, the monitoring interval with the fault location and the related data at the corresponding monitoring device are stored, specifically, the related data are stored in a decentralized manner.
Further, in particular, the decentralization includes,
each monitoring device is used as a node to respectively distribute private keys as the identity certificate of a user;
acquiring related data of a monitoring device at a fault position, signing digital signatures for a receiving user who receives the recorded expense at the previous record and the next record by using a private key of the monitoring device at the fault position, and attaching the digital signatures to the tail of a data block of the transaction to form a record list;
acquiring broadcast request information of the monitoring device at the fault position and broadcasting the record list to each node of the whole network according to the broadcast request information;
acquiring a result of each node competing for the right of creating a new block, and controlling the node with the right of creating the new block to broadcast all the recorded record information with time stamps according to the result;
and acquiring the correctness of the block accounting of the node with the right of creating the new block by other nodes in the whole network, and after the check is confirmed to be correct, competing the other nodes for the next block according to the process, and simultaneously updating the related data of the monitoring device at the fault position.
The invention also provides a monitoring device of the urban road and park lighting system based on the big data, which comprises the following steps:
the system comprises a monitoring interval division module, a monitoring interval division module and a monitoring interval division module, wherein the monitoring interval division module is used for pre-dividing an urban road and a park lighting system to obtain a plurality of monitoring intervals, arranging a monitoring device at a street lamp position at the head and tail positions of each monitoring interval and numbering each monitoring device;
the monitoring data acquisition module is used for acquiring monitoring data of each monitoring device every a first threshold time T, wherein the monitoring data comprises three-phase current information and instantaneous current information of the monitoring device;
the abnormal state judging module is used for judging whether the current monitoring device has power utilization abnormality according to the three-phase current information and the instantaneous current information;
the monitoring section positioning module is used for acquiring the abnormal electricity utilization condition of the monitoring device at the position adjacent to the current monitoring position when the abnormal electricity utilization exists, and positioning the monitoring section with the fault position according to the abnormal electricity utilization condition;
and the data storage module is used for storing the monitoring interval with the fault position and the related data at the corresponding monitoring device.
The invention has the beneficial effects that:
the invention provides a monitoring method of an urban road and park lighting system based on big data, which comprises the steps of firstly judging whether the position of a monitoring device has abnormal power utilization conditions according to the monitoring data of each monitoring device, secondly rapidly positioning the monitoring section with the abnormal power utilization conditions according to the abnormal power utilization conditions, and finally storing the abnormal data for relevant personnel to analyze, thereby being capable of predicting and feeding back the abnormal power utilization conditions in time and further processing in time, and ensuring safe and effective implementation of urban road and park lighting.
Drawings
The foregoing and other features of the present disclosure will become more apparent from the detailed description of the embodiments shown in conjunction with the drawings in which like reference characters designate the same or similar elements throughout the several views, and it is apparent that the drawings in the following description are merely some examples of the present disclosure and that other drawings may be derived therefrom by those skilled in the art without the benefit of any inventive faculty, and in which:
FIG. 1 is a flow chart of a big data based urban road and park lighting system monitoring method according to the present invention.
Detailed Description
The conception, the specific structure and the technical effects of the present invention will be clearly and completely described in conjunction with the embodiments and the accompanying drawings to fully understand the objects, the schemes and the effects of the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The same reference numbers will be used throughout the drawings to refer to the same or like parts.
Referring to fig. 1, embodiment 1 provides a method for monitoring an urban road and park lighting system based on big data, which includes the following steps:
110, pre-partitioning an urban road and park lighting system to obtain a plurality of monitoring sections, arranging a monitoring device at a street lamp position at the head and tail positions of each monitoring section, and numbering each monitoring device;
step 120, acquiring monitoring data of each monitoring device every a first threshold time T, wherein the monitoring data comprises three-phase current information and instantaneous current information of the monitoring device;
step 130, judging whether the current monitoring device has power utilization abnormity according to the three-phase current information and the instantaneous current information;
step 140, if the current monitoring position exists, acquiring the abnormal power utilization condition of the monitoring device at the position adjacent to the current monitoring position, and positioning the monitoring interval with the fault position according to the abnormal power utilization condition;
and 150, storing the monitoring interval with the fault position and the related data of the corresponding monitoring device.
In the preferred embodiment, firstly, the monitoring data of each monitoring device can judge whether the monitoring device has abnormal power utilization situation, secondly, the monitoring interval with abnormal power utilization can be quickly positioned according to the abnormal power utilization situation, and finally, the abnormal data is stored for relevant personnel to analyze, so that the abnormal power utilization situation can be timely predicted and fed back, and further timely processing is carried out, and the safe and effective proceeding of urban road and park illumination is ensured.
Specifically, as a preferred embodiment of the present invention, the determining whether the current monitoring device has the power consumption abnormality according to the three-phase current information and the instantaneous current information includes the following steps,
judging whether the three-phase current is balanced or not according to the three-phase current information;
judging whether the instantaneous current is abnormal or not according to the instantaneous current information;
and when the current monitoring device at least has one of unbalanced three-phase current or abnormal instantaneous current, judging that the current monitoring device has abnormal electricity utilization.
In the preferred embodiment, the safety of electricity utilization is ensured by double detection of three-phase current and instantaneous current.
Specifically, the determining whether the instantaneous current is abnormal or not according to the instantaneous current information includes the following steps,
intercepting fixed time t as initial time, taking the moment as an origin of coordinates, the moment as a horizontal axis and instantaneous current information as a vertical axis to obtain discrete points of each moment in a two-dimensional coordinate system within a (t-NT, t + NT) time range;
performing data fitting on the discrete points to obtain a fitting line in a (t-NT, t + NT) time range;
and predicting the instantaneous current value in the time range of (t +2NT, t +3NT) by taking the fit line as a prediction line, wherein the prediction criterion is that the shortest distance from a point in the time range of (t +2NT, t +3NT) to the fit line is calculated, and when the shortest distance is higher than a preset second threshold value, the instantaneous current is judged to be abnormal.
As a preferred embodiment of the present invention, specifically, the manner of fitting the data to the discrete points to obtain a fit line includes the following,
obtaining a data set (x) to be fittedi，Qi) Wherein x isiTaking (t-NT, t + NT), QiIs the corresponding instantaneous current value;
let the fitted curve be p (x) ═ a0+a1x+a2x2The mean square error of fitting curve and data set is determined
Wherein
Obtained according to the optimal fitting and combining the extreme value,
and (3) obtaining a fitting normal equation by sorting:
and obtaining a fitting function p (x) corresponding to the mean square error through a solution equation, and finishing fitting to obtain a fitting curve, wherein n is a natural number.
As a preferred embodiment of the present invention, specifically, the locating of the monitoring interval having the fault location according to the abnormal power consumption condition includes,
the method comprises the steps of obtaining the position of a monitoring device with abnormal electricity utilization, if the monitoring devices at adjacent positions are abnormal, the monitoring interval numbered between the monitoring devices at the adjacent positions is the monitoring interval of a fault position, and if only one monitoring device at the monitoring devices at the adjacent positions is abnormal, the two adjacent monitoring intervals with the abnormal monitoring device as the middle position are the monitoring interval of the fault position.
As a preferred embodiment of the present invention, the monitoring section having the fault location and the related data at the corresponding monitoring device are stored, specifically, stored in a decentralized manner.
As a preferred embodiment of the present invention, specifically, the decentralization means includes,
each monitoring device is used as a node to respectively distribute private keys as the identity certificate of a user;
acquiring related data of a monitoring device at a fault position, signing digital signatures for a receiving user who receives the recorded expense at the previous record and the next record by using a private key of the monitoring device at the fault position, and attaching the digital signatures to the tail of a data block of the transaction to form a record list;
acquiring broadcast request information of the monitoring device at the fault position and broadcasting the record list to each node of the whole network according to the broadcast request information;
acquiring a result of each node competing for the right of creating a new block, and controlling the node with the right of creating the new block to broadcast all the recorded record information with time stamps according to the result;
and acquiring the correctness of the block accounting of the node with the right of creating the new block by other nodes in the whole network, and after the check is confirmed to be correct, competing the other nodes for the next block according to the process, and simultaneously updating the related data of the monitoring device at the fault position.
In the preferred embodiment, data storage is performed in a block chain mode, so that safe and tamper-free recording of power utilization abnormal conditions can be ensured, and workers can be prevented and controlled accurately according to related data and can also be prevented and controlled from releasing responsibility.
The invention also provides a monitoring device of the urban road and park lighting system based on the big data, which comprises the following steps:
the system comprises a monitoring interval division module, a monitoring interval division module and a monitoring interval division module, wherein the monitoring interval division module is used for pre-dividing an urban road and a park lighting system to obtain a plurality of monitoring intervals, arranging a monitoring device at a street lamp position at the head and tail positions of each monitoring interval and numbering each monitoring device;
the monitoring data acquisition module is used for acquiring monitoring data of each monitoring device every a first threshold time T, wherein the monitoring data comprises three-phase current information and instantaneous current information of the monitoring device;
the abnormal state judging module is used for judging whether the current monitoring device has power utilization abnormality according to the three-phase current information and the instantaneous current information;
the monitoring section positioning module is used for acquiring the abnormal electricity utilization condition of the monitoring device at the position adjacent to the current monitoring position when the abnormal electricity utilization exists, and positioning the monitoring section with the fault position according to the abnormal electricity utilization condition;
and the data storage module is used for storing the monitoring interval with the fault position and the related data at the corresponding monitoring device.
The invention also proposes a computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method as described above.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium and can implement the steps of the above-described method embodiments when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or system capable of carrying said computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer readable medium includes content that can be suitably increased or decreased according to the requirements of legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunication signals according to legislation and patent practice.
While the present invention has been described in considerable detail and with particular reference to a few illustrative embodiments thereof, it is not intended to be limited to any such details or embodiments or any particular embodiments, but it is to be construed as effectively covering the intended scope of the invention by providing a broad, potential interpretation of such claims in view of the prior art with reference to the appended claims. Furthermore, the foregoing describes the invention in terms of embodiments foreseen by the inventor for which an enabling description was available, notwithstanding that insubstantial modifications of the invention, not presently foreseen, may nonetheless represent equivalent modifications thereto.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and the present invention shall fall within the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (8)
1. The urban road and park lighting system monitoring method based on big data is characterized by comprising the following steps:
pre-partitioning an urban road and park lighting system to obtain a plurality of monitoring sections, arranging a monitoring device at the street lamp position at the head and tail positions of each monitoring section, and numbering each monitoring device;
acquiring monitoring data of each monitoring device every a first threshold time T, wherein the monitoring data comprises three-phase current information and instantaneous current information of the monitoring device;
judging whether the current monitoring device has power utilization abnormity according to the three-phase current information and the instantaneous current information;
if the current monitoring position exists, acquiring the abnormal electricity utilization condition of the monitoring device at the position adjacent to the current monitoring position, and positioning the monitoring section with the fault position according to the abnormal electricity utilization condition;
and storing the monitoring interval with the fault position and the related data of the corresponding monitoring device.
2. The big data based urban road and park lighting system monitoring method according to claim 1, wherein specifically, judging whether the current monitoring device has abnormal power utilization according to the three-phase current information and instantaneous current information comprises the following steps,
judging whether the three-phase current is balanced or not according to the three-phase current information;
judging whether the instantaneous current is abnormal or not according to the instantaneous current information;
and when the current monitoring device at least has one of unbalanced three-phase current or abnormal instantaneous current, judging that the current monitoring device has abnormal electricity utilization.
3. The big data based monitoring method for urban road and park lighting system according to claim 1, wherein specifically, determining whether the instantaneous current is abnormal according to the instantaneous current information comprises the following specifically,
intercepting fixed time t as initial time, taking the moment as an origin of coordinates, the moment as a horizontal axis and instantaneous current information as a vertical axis to obtain discrete points of each moment in a two-dimensional coordinate system within a (t-NT, t + NT) time range;
performing data fitting on the discrete points to obtain a fitting line in a (t-NT, t + NT) time range;
and predicting the instantaneous current value in the time range of (t +2NT, t +3NT) by taking the fit line as a prediction line, wherein the prediction criterion is that the shortest distance from a point in the time range of (t +2NT, t +3NT) to the fit line is calculated, and when the shortest distance is higher than a preset second threshold value, the instantaneous current is judged to be abnormal.
4. The big data based urban road and park lighting system monitoring method according to claim 3, wherein in particular, the way of data fitting the discrete points to get a fitted line comprises the following,
obtaining a data set (x) to be fittedi，Qi) Wherein x isiTaking (t-NT, t + NT), QiIs the corresponding instantaneous current value;
let the fitted curve be p (x) ═ a0+a1x+a2x2The mean square error of fitting curve and data set is determined
Obtained according to the optimal fitting and combining the extreme value,
and (3) obtaining a fitting normal equation by sorting:
wherein QiIs yi；
And obtaining a fitting function p (x) corresponding to the mean square error through a solution equation, and finishing fitting to obtain a fitting curve.
5. The big data based urban road and park lighting system monitoring method according to claim 1, wherein specifically, locating the monitoring zone with fault location according to the abnormal power consumption condition comprises,
the method comprises the steps of obtaining the position of a monitoring device with abnormal electricity utilization, if the monitoring devices at adjacent positions are abnormal, the monitoring interval numbered between the monitoring devices at the adjacent positions is the monitoring interval of a fault position, and if only one monitoring device at the monitoring devices at the adjacent positions is abnormal, the two adjacent monitoring intervals with the abnormal monitoring device as the middle position are the monitoring interval of the fault position.
6. The method as claimed in claim 1, wherein the monitoring section where the fault exists and the related data corresponding to the monitoring device are stored in a decentralized manner.
7. The big data based urban road and park lighting system monitoring method according to claim 6, wherein in particular, the decentralization comprises,
each monitoring device is used as a node to respectively distribute private keys as the identity certificate of a user;
acquiring related data of a monitoring device at a fault position, signing digital signatures for a receiving user who receives the recorded expense at the previous record and the next record by using a private key of the monitoring device at the fault position, and attaching the digital signatures to the tail of a data block of the transaction to form a record list;
acquiring broadcast request information of the monitoring device at the fault position and broadcasting the record list to each node of the whole network according to the broadcast request information;
acquiring a result of each node competing for the right of creating a new block, and controlling the node with the right of creating the new block to broadcast all the recorded record information with time stamps according to the result;
and acquiring the correctness of the block accounting of the node with the right of creating the new block by other nodes in the whole network, and after the check is confirmed to be correct, competing the other nodes for the next block according to the process, and simultaneously updating the related data of the monitoring device at the fault position.
8. Urban road and park lighting system monitoring devices based on big data, its characterized in that includes the following:
the system comprises a monitoring interval division module, a monitoring interval division module and a monitoring interval division module, wherein the monitoring interval division module is used for pre-dividing an urban road and a park lighting system to obtain a plurality of monitoring intervals, arranging a monitoring device at a street lamp position at the head and tail positions of each monitoring interval and numbering each monitoring device;
the monitoring data acquisition module is used for acquiring monitoring data of each monitoring device every a first threshold time T, wherein the monitoring data comprises three-phase current information and instantaneous current information of the monitoring device;
the abnormal state judging module is used for judging whether the current monitoring device has power utilization abnormality according to the three-phase current information and the instantaneous current information;
the monitoring section positioning module is used for acquiring the abnormal electricity utilization condition of the monitoring device at the position adjacent to the current monitoring position when the abnormal electricity utilization exists, and positioning the monitoring section with the fault position according to the abnormal electricity utilization condition;
and the data storage module is used for storing the monitoring interval with the fault position and the related data at the corresponding monitoring device.
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