CN113077243A - Photovoltaic power station operation and maintenance personnel behavior management method and system based on curve fitting - Google Patents
Photovoltaic power station operation and maintenance personnel behavior management method and system based on curve fitting Download PDFInfo
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- CN113077243A CN113077243A CN202110570892.9A CN202110570892A CN113077243A CN 113077243 A CN113077243 A CN 113077243A CN 202110570892 A CN202110570892 A CN 202110570892A CN 113077243 A CN113077243 A CN 113077243A
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Abstract
The invention relates to a photovoltaic power station operation and maintenance personnel behavior management method based on curve fitting, which comprises the following steps: acquiring positioning data of operation and maintenance personnel by adopting an intelligent bracelet; performing data analysis and positioning deviation analysis on the positioning data; and displaying the operation and maintenance personnel working data and the behavior path. In addition, a photovoltaic power station operation and maintenance personnel behavior management system based on curve fitting is also provided. The photovoltaic power station operation and maintenance personnel behavior management method and system based on curve fitting have the advantages of being high in precision of curve fitting, good in smoothness and the like, energy consumption of system operation is relatively low, and enterprises can be helped to accurately, effectively and timely control operation and maintenance personnel working tracks.
Description
Technical Field
The invention relates to the technical field of photovoltaic power station management, in particular to a photovoltaic power station operation and maintenance personnel behavior management method and system based on curve fitting.
Background
At present, the photovoltaic industry in China enters a large-scale development stage, the photovoltaic industry not only relates to large ground power stations, but also has a large number of distributed power stations, and with the increasing of the poverty alleviation strength of photovoltaic, more and more household photovoltaic devices appear in rural areas, the places are scattered, the traffic is inconvenient, and the maintenance of the photovoltaic power stations is increasingly complex. At present, the maintenance of a photovoltaic power station mainly depends on the field maintenance of operation and maintenance personnel, and the operation and maintenance personnel comprise stationing personnel and non-stationing personnel. In order to ensure the normal operation of the photovoltaic power station and improve the working efficiency of operation and maintenance personnel, the operation and maintenance personnel need to be managed, and the action path of the operation and maintenance personnel is tracked remotely so as to judge the working condition of the operation and maintenance personnel.
The intelligent bracelet is applied to a plurality of fields and scenes due to the fact that the intelligent bracelet is easy to use, the price and the convenience of people and good interaction between the intelligent bracelet and other terminals, and the use popularization rate is increased linearly. But photovoltaic power plant fortune dimension personnel's management is higher to fortune dimension personnel's positioning accuracy requirement, and intelligent bracelet is difficult to reach the required precision. Moreover, because the positioning algorithm adopted by the intelligent bracelet is difficult to obtain, if data in the intelligent bracelet is directly selected, some points with larger deviation can be seen, and the action path of operation and maintenance personnel is greatly influenced; if in any section, the influence of all data points on the calculation value of a certain point is considered, which not only expands the error propagation range, but also increases the calculation workload.
Disclosure of Invention
Therefore, the photovoltaic power station operation and maintenance personnel behavior management method and system based on curve fitting are needed to solve the problem that the intelligent bracelet is difficult to meet management requirements of the photovoltaic power station operation and maintenance personnel.
A photovoltaic power station operation and maintenance personnel behavior management method based on curve fitting comprises the following steps:
acquiring positioning data of operation and maintenance personnel by adopting an intelligent bracelet;
performing data analysis and positioning deviation analysis on the positioning data;
and displaying the operation and maintenance personnel working data and the behavior path.
Further, the step of performing data analysis and positioning deviation analysis on the positioning data includes the following steps:
judging whether the deviation of the positioning data is abnormal or not according to a reference algorithm;
if so, correcting the abnormal data by adopting an interpolation algorithm, and storing the corrected data in a correction database; if not, the normal data is stored in the correction database.
Further, the step of displaying the operation and maintenance personnel working data and the behavior path comprises the following steps:
and the PC end packages the data in the correction database and determines the displayed working data and behavior path according to the authority rules of the operation and maintenance personnel.
Further, before the step of performing data analysis and positioning deviation analysis on the positioning data, the method further includes the following steps:
after the operation and maintenance personnel work every day, the intelligent bracelet transmits the daily positioning data to the PC end through the interface, and the PC end executes related SQL operation to persist the data to the original database.
A photovoltaic power plant operation and maintenance personnel behavior management system based on curve fitting comprises:
the intelligent bracelet is used for collecting positioning data of operation and maintenance personnel;
the back-end module is used for carrying out data analysis and positioning deviation analysis on the positioning data; and
and the front-end module is used for displaying the working data and the behavior path of the operation and maintenance personnel.
Further, the back-end module is further configured to determine whether the deviation of the positioning data is abnormal according to a reference algorithm.
Furthermore, the back-end module is also used for setting authority rules of operation and maintenance personnel.
Further, the management system further comprises a database module, wherein the database module comprises an original database and a corrected database, the original database is used for storing original data, and the corrected database is used for storing corrected data and normal data.
According to the photovoltaic power station operation and maintenance personnel behavior management method and system based on curve fitting, the intelligent bracelet is adopted to collect personnel position information according to the actual situation of the photovoltaic power station, the collected data are discrete points, only a plurality of data points near a required section of curve are selected, then the discrete data points are connected into a smooth curve by adopting the Akima method, interpolation correction is carried out on the deviation value in the process, and the influence of the abnormal value on the whole individual behavior path is eliminated. The method has the characteristics of high precision of curve fitting, good smoothness and the like, and the energy consumption of system operation is relatively low, so that the method can help enterprises to accurately, effectively and timely control the working track of operation and maintenance personnel.
Drawings
FIG. 1 is a flow chart of a photovoltaic power station operation and maintenance personnel behavior management method based on curve fitting;
FIG. 2 is a five-point derivation analysis diagram according to the present invention;
FIG. 3 is a diagram of the operation and maintenance personnel behavior work data and behavior path shown in the present invention;
FIG. 4 is a block diagram of a photovoltaic power station operation and maintenance personnel behavior management system based on curve fitting.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
As shown in fig. 1, in an embodiment, a photovoltaic power plant operation and maintenance personnel behavior management method based on curve fitting includes the following steps:
and step S110, acquiring the positioning data of the operation and maintenance personnel by adopting an intelligent bracelet. Fortune dimension personnel are on duty every day, need take intelligent bracelet to the wrist on, through intelligent bracelet from taking system automatic positioning fortune dimension personnel current position to with data storage in intelligent bracelet. After the operation and maintenance personnel complete the work every day, the intelligent bracelet transmits the daily positioning data to the PC end through the interface, and the PC end executes the related SQL (Structured Query Language) operation to persist the data into the original database.
Step S120, performing data analysis and positioning deviation analysis on the positioning data. And the PC end is packaged with a reference algorithm, a deviation value in the data is filtered according to whether the transmitted positioning data meets the reference algorithm, correction is carried out according to the Akima (Akima interpolation method) algorithm rule, and the corrected data is stored in a correction database, so that the original data is prevented from being influenced. Since the user needs to perform data analysis daily, the PC performs data analysis sentences according to a fixed time interval (i.e., once a day). And comparing the positioning data transmitted by the intelligent bracelet with a reference algorithm, and judging whether the deviation of the positioning data is abnormal or not according to the reference algorithm. If so, correcting the behavior path formed by the positioning data by adopting an Akima interpolation algorithm on the abnormal data, and storing the corrected data in a correction database; if not, the normal data is stored in the correction database. The reference algorithm is explained below:
data points are known as X1、X2、X3…XnThe distance between any two points is set in a subinterval [ X ]k、Xk+1](k ∈ n), satisfying:
in the formula, YkRepresenting information about acquisitionA function of point X, Y'kIs YkDerivative of (a), GkIs F (X)k) S (X) is a cubic polynomial about the acquisition point X, and A, B, C, D is a constant term, a first-order term coefficient, a second-order term coefficient, and a third-order term coefficient of s (X), respectively.
From this, the function value of each interpolation point in the subinterval can be calculated, the geometric condition of the derivative of the intermediate point is estimated by five data points according to the Akima method, and the following is calculated:
wherein the content of the first and second substances,
in the formula of UkExpressed as two points (X) on the coordinate axisk+1、Yk+1) And (X)k、Yk) The slope therebetween.
Referring to FIG. 2, the Akima five-point derivation method is illustrated, (Z)1、Z2、Z3、Z4、Z5)∈XnFor adjacent five points, point Z can be calculated by derivation3The slope of (a). Set a passing point Z3Tangent line of and Z1Z2The extension line of (A) intersects with Z5Z4The extension line of (B) intersects with the line B, Z2Z3And Z5Z4The extension line of (A) intersects with C, Z4Z3And Z1Z2The extension line of (A) intersects with D; obtaining Z from the line segment proportion2A/AD＝Z4B/BC, i.e. point Z3The slope K of (1) tan θ3＝sinθ3/cosθ3Wherein, sin θ3And cos θ3The values may be represented by segment lengths.
Finally, can obtain
And judging whether all data points meet the polynomial formula S (X) or not according to the obtained result, if not, judging that the deviation is abnormal, and the system can interpolate the data points and store the corrected data in a correction database.
And step S130, displaying the operation and maintenance personnel working data and the behavior path. The PC side encapsulates and displays the data in the correction database through an Vue (a set of progressive JavaScript framework for constructing a user interface) framework, and the system determines the displayed working data and behavior path according to the authority rules of the operation and maintenance personnel (see FIG. 3).
In addition, a photovoltaic power station operation and maintenance personnel behavior management system based on curve fitting is also provided.
As shown in fig. 4, in an embodiment, a photovoltaic power plant operation and maintenance personnel behavior management system based on curve fitting includes a smart bracelet 410, a back-end module 420, a front-end module 430, and a database module 440. The intelligent bracelet 410 is used for collecting the positioning data of the operation and maintenance personnel. The back-end module 420 is configured to perform data analysis and positioning deviation analysis on the positioning data, determine whether the deviation of the positioning data is abnormal according to a reference algorithm, and set an authority rule of an operation and maintenance worker. The front-end module 430 is used for displaying the operation and maintenance personnel working data and behavior paths. The database module 440 includes an original database for storing original data and a corrected database for storing corrected data and normal data without deviation abnormality.
According to the photovoltaic power station operation and maintenance personnel behavior management method and system based on curve fitting, the intelligent bracelet is adopted to collect personnel position information according to the actual situation of the photovoltaic power station, the collected data are discrete points, only a plurality of data points near a required section of curve are selected, then the discrete data points are connected into a smooth curve by adopting the Akima method, interpolation correction is carried out on the deviation value in the process, and the influence of the abnormal value on the whole individual behavior path is eliminated. The method has the characteristics of high curve fitting precision, good smoothness and the like, and has the advantages that the energy consumption of system operation is relatively low, and enterprises can be helped to accurately, effectively and timely control the working tracks of operation and maintenance personnel.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. A photovoltaic power station operation and maintenance personnel behavior management method based on curve fitting is characterized by comprising the following steps:
acquiring positioning data of operation and maintenance personnel by adopting an intelligent bracelet;
performing data analysis and positioning deviation analysis on the positioning data;
and displaying the operation and maintenance personnel working data and the behavior path.
2. The curve fitting-based photovoltaic power plant operation and maintenance personnel behavior management method according to claim 1, wherein the step of performing data analysis and positioning deviation analysis on the positioning data comprises the following steps:
judging whether the deviation of the positioning data is abnormal or not according to a reference algorithm;
if so, correcting the abnormal data by adopting an interpolation algorithm, and storing the corrected data in a correction database; if not, the normal data is stored in the correction database.
3. The curve fitting-based photovoltaic power station operation and maintenance personnel behavior management method according to claim 2, wherein the step of displaying the operation and maintenance personnel working data and the behavior path comprises the following steps:
and the PC end packages the data in the correction database and determines the displayed working data and behavior path according to the authority rules of the operation and maintenance personnel.
4. The curve fitting-based photovoltaic power plant operation and maintenance personnel behavior management method according to claim 1, characterized by further comprising the following steps before the step of performing data analysis and positioning deviation analysis on the positioning data:
after the operation and maintenance personnel work every day, the intelligent bracelet transmits the daily positioning data to the PC end through the interface, and the PC end executes related SQL operation to persist the data to the original database.
5. The utility model provides a photovoltaic power plant operation and maintenance personnel action management system based on curve fitting which characterized in that includes:
the intelligent bracelet is used for collecting positioning data of operation and maintenance personnel;
the back-end module is used for carrying out data analysis and positioning deviation analysis on the positioning data; and
and the front-end module is used for displaying the working data and the behavior path of the operation and maintenance personnel.
6. The curve fitting-based photovoltaic power plant operation and maintenance personnel behavior management system according to claim 5, characterized in that the back-end module is further configured to determine whether the positioning data is abnormal in deviation according to a benchmark algorithm.
7. The curve fitting based photovoltaic power plant operation and maintenance personnel behavior management system according to claim 6, wherein the back-end module is further used for setting authority rules of operation and maintenance personnel.
8. The curve fitting-based photovoltaic power plant operation and maintenance personnel behavior management system according to any one of claims 5 to 7, characterized in that the management system further comprises a database module, wherein the database module comprises an original database and a corrected database, the original database is used for storing original data, and the corrected database is used for storing corrected data and normal data.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113626118A (en) * | 2021-07-30 | 2021-11-09 | 中汽创智科技有限公司 | Energy consumption real-time display method, device and equipment |
| CN114419749A (en) * | 2021-12-20 | 2022-04-29 | 优得新能源科技（宁波）有限公司 | Photovoltaic power plant fortune dimension personnel work quantization system based on location coordinate |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105187010A (en) * | 2015-09-07 | 2015-12-23 | 无锡联盛合众新能源有限公司 | Intelligent monitoring and operation maintenance system for photovoltaic power station |
| CN105321021A (en) * | 2014-07-22 | 2016-02-10 | 上海巨江信息技术有限公司 | Maintenance staff positioning and work management system and realization method thereof |
| CN106779421A (en) * | 2016-12-21 | 2017-05-31 | 国网上海市电力公司 | A kind of electric energy meter collection operation management system based on GPS location |
| KR101748797B1 (en) * | 2016-12-01 | 2017-06-19 | 한국항공우주연구원 | System and method for managing differential global positioning facilities and computer readable recording medium |
| CN107146168A (en) * | 2017-07-11 | 2017-09-08 | 大连锐勃电子科技有限公司 | Wisdom building site management system based on universe frequency conversion positioning Yu self-identifying technology |
| CN109471142A (en) * | 2018-10-25 | 2019-03-15 | 国网福建省电力有限公司厦门供电公司 | A kind of working trajectory recognition methods based on RTK Differential positioning |
| CN110347668A (en) * | 2019-07-04 | 2019-10-18 | 南京航空航天大学 | The cleaning of ADS-B track and calibrating installation |
| CN110399951A (en) * | 2019-07-26 | 2019-11-01 | 马鞍山市科泰电气科技有限公司 | A kind of monitoring management system and method for plant area staff motion track |
-
2021
- 2021-05-25 CN CN202110570892.9A patent/CN113077243A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105321021A (en) * | 2014-07-22 | 2016-02-10 | 上海巨江信息技术有限公司 | Maintenance staff positioning and work management system and realization method thereof |
| CN105187010A (en) * | 2015-09-07 | 2015-12-23 | 无锡联盛合众新能源有限公司 | Intelligent monitoring and operation maintenance system for photovoltaic power station |
| KR101748797B1 (en) * | 2016-12-01 | 2017-06-19 | 한국항공우주연구원 | System and method for managing differential global positioning facilities and computer readable recording medium |
| CN106779421A (en) * | 2016-12-21 | 2017-05-31 | 国网上海市电力公司 | A kind of electric energy meter collection operation management system based on GPS location |
| CN107146168A (en) * | 2017-07-11 | 2017-09-08 | 大连锐勃电子科技有限公司 | Wisdom building site management system based on universe frequency conversion positioning Yu self-identifying technology |
| CN109471142A (en) * | 2018-10-25 | 2019-03-15 | 国网福建省电力有限公司厦门供电公司 | A kind of working trajectory recognition methods based on RTK Differential positioning |
| CN110347668A (en) * | 2019-07-04 | 2019-10-18 | 南京航空航天大学 | The cleaning of ADS-B track and calibrating installation |
| CN110399951A (en) * | 2019-07-26 | 2019-11-01 | 马鞍山市科泰电气科技有限公司 | A kind of monitoring management system and method for plant area staff motion track |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113626118A (en) * | 2021-07-30 | 2021-11-09 | 中汽创智科技有限公司 | Energy consumption real-time display method, device and equipment |
| CN113626118B (en) * | 2021-07-30 | 2023-07-25 | 中汽创智科技有限公司 | Method, device and equipment for displaying energy consumption in real time |
| CN114419749A (en) * | 2021-12-20 | 2022-04-29 | 优得新能源科技（宁波）有限公司 | Photovoltaic power plant fortune dimension personnel work quantization system based on location coordinate |
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