CN106529723A - Method for realizing photovoltaic power station cleaning period estimation based on monitoring platform - Google Patents
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Abstract
The invention relates to a method for realizing photovoltaic power station cleaning period estimation based on a monitoring platform. A monitoring platform is used to monitor a photovoltaic power station, the information of a photovoltaic string in the photovoltaic power station is obtained, the information of the photovoltaic string is processed, the current cumulative loss benefit of the photovoltaic power station is obtained, through comparing the cumulative loss benefit and cleaning cost, whether the cleaning is needed is judged, and the estimated cleaning period of the photovoltaic power station is updated in real time. A suitable estimated cleaning period can be obtained by using the method, in the natural conditions of rain and the like, since the dust accumulation of the photovoltaic power station is changed, the cleaning cycle of the photovoltaic power station is recalculated, the cost is saved, the balance between the cleaning cost of the photovoltaic power station and the benefit brought by cleaning is achieved, at the same time, by using a self-learning method, the estimated cleaning period is constantly updated, thus the estimation of the cleaning period is more accurate, the waste of human resources is reduced, and the method is suitable for being used in an industrial process.
Description
Technical field
The present invention relates to application of solar, more particularly to photovoltaic system intelligence O＆M technical field, specifically
Refer to a kind of method that the estimation of photovoltaic plant cleaning frequency is realized based on monitor supervision platform.
Background technology
Photovoltaic generation is a kind of huge clean energy resource of prospect, and countries in the world all give larger support on policy, especially
In recent years, China's photovoltaic power generation technology is fast-developing, and photovoltaic plant installed capacity is ranked first in the world for years.But, light
Volt component dust stratification problem result in power station generated energy and reduce, and compromises the interests of owner, hinders the sound development of photovoltaic industry.
As photovoltaic plant is remote, especially in desert region, natural environment is extremely severe, and dust stratification problem is difficult to keep away
Exempt from.General solution is that whether decision-making needs cleaning by rule of thumb by attendant's field observation.But rugged environment
It is healthy to attendant to cause larger threat, while being by virtue of experience difficult to make scientific and rational judgement.It is currently based on net
The monitor supervision platform of network and computer technology becomes the standard configuration in power station gradually, and the system can be entered to power station by power station service data
Row health state evaluation, and remind field maintenance person to carry out corresponding operating.
Monitor supervision platform solves the problems, such as that dust stratification can be divided into the assessment of dust stratification degree, the decision-making of scavenging period and cleaning method
Select three steps.Using field data, monitor supervision platform easily can carry out objective rational assessment at present to dust stratification state, cleaning
Method has manual cleaning and robot multiple choices such as cleaning automatically, but scavenging period select by loss caused by dust stratification,
The parameters such as the cost and weather condition of cleaning affect, more difficult decision-making at present.
The content of the invention
In order to solve above-described the problems of the prior art, the present invention propose it is a kind of can be to the light of photovoltaic plant
The dust stratification state of volt component effectively assesses, and accordingly generate cleaning program the photovoltaic plant cleaning frequency is realized based on monitor supervision platform
The method of estimation.
The method that the estimation of photovoltaic plant cleaning frequency should be realized based on monitor supervision platform, described monitor supervision platform monitor described
Photovoltaic plant, described photovoltaic plant include photovoltaic group string, and which is mainly characterized by, and described photovoltaic plant obtains described photovoltaic
The information of string is organized, and described method is comprised the following steps：
(1) the monitor supervision platform initialization described in, all initialization of variable are 0；
(2) by the information for processing its described photovoltaic group string for obtaining, the monitor supervision platform described in judges whether that cleaning is described
Photovoltaic plant, and update the estimation cleaning frequency of the photovoltaic plant.
It is preferred that described step (2) comprise the following steps that：
(2.1) monitor supervision platform described in obtains the group string power loss Δ p in the case of the photovoltaic group string dust stratificationn, wherein n=
1,2,3 ... N, and described N is the group string number of the photovoltaic plant；
(2.2) monitor supervision platform described in calculates the same day generated energy loss Δ e of the photovoltaic group stringn, wherein n=1,2,3 ...
N, and described N is the group string number in the photovoltaic plant；
(2.3) monitor supervision platform described in obtains the number N of the photovoltaic group string in the photovoltaic plant, and passes through the photovoltaic group string
Number N obtain the photovoltaic plant the same day generated energy loss
(2.4) monitor supervision platform described in obtains the photovoltaic plant same day without answering generated energy e during dust stratification, and passes through the photovoltaic
The power station same day answers the same day electric quantity loss that generated energy obtains the described photovoltaic plant to compare η without e during dust stratification；
(2.5) monitor supervision platform described in by the same day electric quantity loss of the photovoltaic plant than η compared with an electric quantity loss threshold value
Compared with if described same day electric quantity loss is more than described electric quantity loss threshold value than η, continuation step (2.6) otherwise continues institute
The step of stating (2.13)；
(2.6) monitor supervision platform described in obtains the current the accumulative total of generating electricity loss Δ e of the photovoltaic planta；
(2.7) monitor supervision platform described in calculates the current accumulating losses income Δ r of the photovoltaic plant, and judges the accumulative damage
The magnitude relationship of income Δ r and cleaning cost is lost, if described accumulating losses income Δ r is more than described cleaning cost,
Continue step (2.8)；Otherwise continue step (2.9)；
(2.8) monitor supervision platform described in sends cleaning alarm, and continues step (2.10)；
(2.9) monitor supervision platform described in is by the cleaning frequency Δ t of the photovoltaic plantkFrom increasing one day, and continue step
(2.10)；
(2.10) monitor supervision platform described in judges to estimate cleaning frequency Δ teWhether zero is more than, if described estimation cleaning
Period Δ teMore than zero, then continue step (2.11)；Otherwise continue step (2.12)；
(2.11) monitor supervision platform described in is by the estimation cleaning frequency Δ t of the photovoltaic planteIt is updated to this cleaning frequency
Δtk, and continue described step (2.13)；
(2.12) monitor supervision platform described in is by the estimation cleaning frequency Δ t of the photovoltaic planteIt is updated to this cleaning frequency
With the mean value of described estimation cleaning frequency, i.e.,
(2.13) monitor supervision platform described in resets described the accumulative total of generating electricity loss Δ ea, accumulating losses income Δ r and clear
Wash period Δ tk, and continue described step (1).
More preferably, the monitor supervision platform in described step (2.4) obtains working as described photovoltaic plant by below equation
Its electric quantity loss compares η：
Wherein described e is the photovoltaic plant same day without the generated energy of answering during dust stratification, described Δ etFor the photovoltaic plant
The same day generated energy loss.
More preferably, described electric quantity loss threshold value can be arranged by described monitor supervision platform, and described monitor supervision platform should
Electric quantity loss threshold value is set in advance as 1%.
More preferably, the accumulative total of generating electricity loss Δ e of the described photovoltaic plant within the current cleaning frequencyaBy the accumulative generating
Amount loss Δ eaFrom the same day generated energy loss Δ e for increasing described photovoltaic planttCalculate, specially below equation：
Δea=Δ ea+Δet；
Wherein Δ eaFor the current the accumulative total of generating electricity loss of the photovoltaic plant, described Δ etFor the same day of the photovoltaic plant
Generated energy loses.
More preferably, described monitor supervision platform obtains the current accumulating losses income Δ r of the photovoltaic plant by below equation：
Δ r=Δ ea×p；
Wherein described Δ r is the current accumulating losses income of the photovoltaic plant, and described p is current rate for incorporation into the power network, institute
The Δ e for statingaFor the current the accumulative total of generating electricity loss of the photovoltaic plant.
Using the method for realizing the estimation of photovoltaic plant cleaning frequency based on monitor supervision platform of this method, as which is using monitoring
Center determines the dust stratification state of the component of the photovoltaic plant, and calculates power station accumulated earnings damage according to dust stratification condition evaluation results
Lose, while record accumulating losses and clean the equal number of days of cost needed for a photovoltaic module, be designated as this cleaning frequency, and
Hereafter advise cleaning assembly, it is ensured that cost of the economic benefit that cleaning assembly is improved not less than cleaning assembly；If in the process
When running into the natural cleaning generation that heavy rain or other factors are caused, recalculate after related data is reset, to exclude nature ring
The interference in border；Estimate that the cleaning frequency to be reached using power station service data itself by way of continuous self be constantly close to very
Real-valued self study effect, reduces the error for estimating cleaning frequency and actual value；Inverter is operated in different conditions to be had not
Same efficiency, this have impact on the estimation of component actual power, and it is effective that the present invention uploads data using group string data rather than inverter
Avoid this interference.
Description of the drawings
Fig. 1 is the system flow chart of the method that the estimation of photovoltaic plant cleaning frequency is realized based on monitor supervision platform of the present invention.
Specific embodiment
In order to the technology contents of the clearer description present invention, further describe with reference to instantiation.
The method that the estimation of photovoltaic plant cleaning frequency should be realized based on monitor supervision platform, described monitor supervision platform monitor described
Photovoltaic plant, described photovoltaic plant include photovoltaic group string, and which is mainly characterized by, and described photovoltaic plant obtains described photovoltaic
The information of string is organized, and described method is comprised the following steps：
(1) the monitor supervision platform initialization described in, all initialization of variable are 0；
(2) by the information for processing its described photovoltaic group string for obtaining, the monitor supervision platform described in judges whether that cleaning is described
Photovoltaic plant, and update the estimation cleaning frequency of the photovoltaic plant.The step (2) comprise the following steps that：
(2.1) monitor supervision platform described in obtains the group string power loss Δ p in the case of the photovoltaic group string dust stratificationn, wherein n=
1,2,3 ... N, and described N is the group string number of the photovoltaic plant；
(2.2) monitor supervision platform described in calculates the same day generated energy loss Δ e of the photovoltaic group stringn, wherein n=1,2,3 ...
N, and described N is the group string number in the photovoltaic plant；
(2.3) monitor supervision platform described in obtains the number N of the photovoltaic group string in the photovoltaic plant, and passes through the photovoltaic group string
Number N obtain the photovoltaic plant the same day generated energy loss
(2.4) monitor supervision platform described in obtains the photovoltaic plant same day without answering generated energy e during dust stratification, and passes through the photovoltaic
The power station same day answers the same day electric quantity loss that generated energy obtains the described photovoltaic plant to compare η without e during dust stratification.Described monitoring is put down
Platform compares η by the same day electric quantity loss that below equation obtains described photovoltaic plant：
Wherein described e is the photovoltaic plant same day without the generated energy of answering during dust stratification, described Δ etFor the photovoltaic plant
The same day generated energy loss；
(2.5) monitor supervision platform described in by the same day electric quantity loss of the photovoltaic plant than η compared with an electric quantity loss threshold value
Compared with if described same day electric quantity loss is more than described electric quantity loss threshold value than η, continuation step (2.6) otherwise continues institute
The step of stating (2.13), described electric quantity loss threshold value can be arranged by described monitor supervision platform, and described monitor supervision platform should
Electric quantity loss threshold value is set in advance as 1%；
(2.6) monitor supervision platform described in obtains the current the accumulative total of generating electricity loss Δ e of the photovoltaic planta, described photovoltaic
The accumulative total of generating electricity loss Δ e of the power station within the current cleaning frequencyaΔ e is lost by the accumulative total of generating electricityaFrom the described photovoltaic electric of increasing
The same day generated energy loss Δ e for standingtCalculate, specially below equation：
Δea=Δ ea+Δet；
Wherein Δ eaFor the current the accumulative total of generating electricity loss of the photovoltaic plant, described Δ etFor the same day of the photovoltaic plant
Generated energy loses；
(2.7) monitor supervision platform described in calculates the current accumulating losses income Δ r of the photovoltaic plant, and judges the accumulative damage
The magnitude relationship of income Δ r and cleaning cost is lost, if described accumulating losses income Δ r is more than described cleaning cost,
Continue step (2.8)；Otherwise continue step (2.9).
Described monitor supervision platform obtains the current accumulating losses income Δ r of the photovoltaic plant by below equation：
Δ r=Δ ea×p；
Wherein described Δ r is the current accumulating losses income of the photovoltaic plant, and described p is current rate for incorporation into the power network, institute
The Δ e for statingaFor the current the accumulative total of generating electricity loss of the photovoltaic plant；
(2.8) monitor supervision platform described in sends cleaning alarm, and continues step (2.10)；
(2.9) monitor supervision platform described in is by the cleaning frequency Δ t of the photovoltaic plantkFrom increasing one day, and continue step
(2.10)；
(2.10) monitor supervision platform described in judges to estimate cleaning frequency Δ teWhether zero is more than, if described estimation cleaning
Period Δ teMore than zero, then continue step (2.11)；Otherwise continue step (2.12)；
(2.11) monitor supervision platform described in is by the estimation cleaning frequency Δ t of the photovoltaic planteIt is updated to this cleaning frequency
Δtk, and continue described step (2.13)；
(2.12) monitor supervision platform described in is by the estimation cleaning frequency Δ t of the photovoltaic planteIt is updated to this cleaning frequency
With the mean value of described estimation cleaning frequency, i.e.,
(2.13) monitor supervision platform described in resets described the accumulative total of generating electricity loss Δ ea, accumulating losses income Δ r and clear
Wash period Δ tk, and continue described step (1).
In a kind of typical embodiment, the method for determining the photovoltaic plant cleaning frequency using monitor supervision platform, such as Fig. 1
It is shown, comprise the following steps：
(1) it is zero by all initialization of variable, described variable includes same day photovoltaic group string power loss Δ pn, unit
KW, same day photovoltaic group string generated energy loss Δ en, unit is kWh, same day built photovoltaic power station power generation amount loss Δ etAnd the accumulative total of generating electricity
Loss Δ ea, unit is kWh；Same day photovoltaic plant answers generated energy to be designated as e, unit kWh, same day photovoltaic plant accumulating losses income
Δ r and photovoltaic plant once clean cost c, and unit is unit, estimates cleaning frequency Δ teWith cleaning frequency Δ tk, unit is day；
(2) photovoltaic group string power loss described in the case of reading dust stratification, is designated as Δ pn, wherein n=1,2,3 ... N, N are
Group string number in power station；
(3) calculate described photovoltaic group string same day generated energy loss Δ en, wherein n=1,2,3 ... N, during N is photovoltaic plant
Group string number；
(4) calculate the loss of same day built photovoltaic power station power generation amount
(5) calculate same day built photovoltaic power station power generation amount loss ratioWherein e does not have for same day photovoltaic plant
Generated energy is answered during dust stratification；
(6) whether η is judged more than 1%, be then to enter step (7), otherwise into step (15)；
(7) calculate photovoltaic plant the accumulative total of generating electricity loss Δ ea=Δ ea+Δet, and enter step (8)；
(8) calculate due to photovoltaic plant accumulating losses income Δ r=Δ e caused by dust stratificationa×P, wherein p are rate for incorporation into the power network；
(9) whether photovoltaic plant accumulating losses income is judged more than or equal to cleaning cost, if entering step (10),
Step (11) is entered otherwise；
(10) Surveillance center sends cleaning alarm, reminds attendant's cleaning, and enters step (12)；
(11) cleaning frequency from increase one day, Δ tk=Δ tk+ 1, and enter step (12)；
(12) judge to estimate cleaning frequency Δ teWhether it is more than zero, is then to enter step (13), otherwise into step (14)；
(13) order estimates that the cleaning frequency is equal to this cleaning frequency, i.e.,：Δte=Δ tk, and enter step (15)；
(14) cleaning frequency Δ t will be estimatedeIt is updated to cleaning frequency Δ tkPeriod Δ t is washed with estimationeMean value, i.e.,：And enter step (15)；
(15) this cleaning frequency clearing, i.e. Δ tk=0, and return to step (1)；
Using the method for realizing the estimation of photovoltaic plant cleaning frequency based on monitor supervision platform of this method, as which is using monitoring
Center determines the dust stratification state of the component of the photovoltaic plant, and calculates power station accumulated earnings damage according to dust stratification condition evaluation results
Lose, while record accumulating losses and clean the equal number of days of cost needed for a photovoltaic plant, be designated as this cleaning frequency, and
Send cleaning alarm and reminding staff's cleaning photovoltaic plant, it is ensured that the economic benefit that cleaning photovoltaic plant is improved is not less than cleaning
The cost of photovoltaic plant；If run into the natural cleaning generation that heavy rain or other factors are caused in the process, by related data
Recalculate after clearing, to exclude the interference of natural environment；Estimate the cleaning frequency by way of continuous self using electricity
Itself service data of standing reaches the self study effect for being constantly close to actual value, reduces the mistake for estimating cleaning frequency and actual value
Difference；Inverter is operated in different conditions and has different efficiency, and this have impact on the estimation of component actual power, and the present invention utilizes group
String data rather than inverter upload data and effectively avoid this interference.
In this description, the present invention is described with reference to its specific embodiment.But it is clear that can still make
Various modifications and alterations are without departing from the spirit and scope of the present invention.Therefore, specification and drawings are considered as illustrative
And it is nonrestrictive.
Claims (6)
1. a kind of method for realizing that based on monitor supervision platform the photovoltaic plant cleaning frequency estimates, described monitor supervision platform monitoring are described
Photovoltaic plant, described photovoltaic plant include photovoltaic group string, it is characterised in that described photovoltaic plant obtains described photovoltaic group
The information of string, and described method comprises the following steps：
(1) the monitor supervision platform initialization described in, all initialization of variable are 0；
(2) monitor supervision platform described in judges whether to clean described light by the information for processing its described photovoltaic group string for obtaining
Overhead utility, and update the estimation cleaning frequency of the photovoltaic plant.
2. the method for realizing that based on monitor supervision platform the photovoltaic plant cleaning frequency estimates according to claim 1, its feature exists
In comprising the following steps that for, described step (2)：
(2.1) monitor supervision platform described in obtains the group string power loss Δ p in the case of the photovoltaic group string dust stratificationn, wherein n=1,2,
3 ... N, and described N is the group string number of the photovoltaic plant；
(2.2) monitor supervision platform described in calculates the same day generated energy loss Δ e of the photovoltaic group stringn, wherein n=1,2,3 ... N, and institute
The N for stating is the group string number in the photovoltaic plant；
(2.3) monitor supervision platform described in obtains the number N of the photovoltaic group string in the photovoltaic plant, and the number by the photovoltaic group string
Mesh N obtains the same day generated energy loss of the photovoltaic plant
(2.4) monitor supervision platform described in obtains the photovoltaic plant same day without answering generated energy e during dust stratification, and passes through the photovoltaic plant
The same day answers the same day electric quantity loss that generated energy obtains the described photovoltaic plant to compare η without e during dust stratification；
(2.5) same day electric quantity loss of the photovoltaic plant is compared with an electric quantity loss threshold value by the monitor supervision platform described in than η, such as
Same day electric quantity loss described in fruit is more than described electric quantity loss threshold value than η, then continue step (2.6), otherwise described in continuation
Step (2.13)；
(2.6) monitor supervision platform described in obtains the current the accumulative total of generating electricity loss Δ e of the photovoltaic planta；
(2.7) monitor supervision platform described in calculates the current accumulating losses income Δ r of the photovoltaic plant, and judges that the accumulating losses are received
Beneficial Δ r and the magnitude relationship of cleaning cost, if described accumulating losses income Δ r is more than described cleaning cost, continue
Step (2.8)；Otherwise continue step (2.9)；
(2.8) monitor supervision platform described in sends cleaning alarm, and continues step (2.10)；
(2.9) monitor supervision platform described in is by the cleaning frequency Δ t of the photovoltaic plantkFrom increasing one day, and continue step (2.10)；
(2.10) monitor supervision platform described in judges to estimate cleaning frequency Δ teWhether zero is more than, if the described estimation cleaning frequency
ΔteMore than zero, then continue step (2.11)；Otherwise continue step (2.12)；
(2.11) monitor supervision platform described in is by the estimation cleaning frequency Δ t of the photovoltaic planteIt is updated to this cleaning frequency Δ tk,
And continue described step (2.13)；
(2.12) monitor supervision platform described in is by the estimation cleaning frequency Δ t of the photovoltaic planteIt is updated to this cleaning frequency and described
Estimation the cleaning frequency mean value, i.e.,
(2.13) monitor supervision platform described in resets described the accumulative total of generating electricity loss Δ ea, accumulating losses income Δ r and cleaning frequency
Δtk, and continue described step (1).
3. the method for realizing that based on monitor supervision platform the photovoltaic plant cleaning frequency estimates according to claim 2, its feature exists
In described monitor supervision platform compares η by the same day electric quantity loss that below equation obtains described photovoltaic plant：
Wherein described e is the photovoltaic plant same day without the generated energy of answering during dust stratification, described Δ etFor the same day of the photovoltaic plant
Generated energy loses.
4. the method for realizing that based on monitor supervision platform the photovoltaic plant cleaning frequency estimates according to claim 2, its feature exists
In described electric quantity loss threshold value can be arranged by described monitor supervision platform, and described monitor supervision platform is by the electric quantity loss threshold value
It is set in advance as 1%.
5. the method for realizing that based on monitor supervision platform the photovoltaic plant cleaning frequency estimates according to claim 2, its feature exists
In the accumulative total of generating electricity loss Δ e of described photovoltaic plant within the current cleaning frequencyaΔ e is lost by the accumulative total of generating electricityaFrom
Increase the same day generated energy loss Δ e of described photovoltaic planttCalculate, specially below equation：
Δea=Δ ea+Δet；
Wherein Δ eaFor the current the accumulative total of generating electricity loss of the photovoltaic plant, described Δ etThe same day for the photovoltaic plant generates electricity
Amount loss.
6. the method for realizing that based on monitor supervision platform the photovoltaic plant cleaning frequency estimates according to claim 2, its feature exists
In described monitor supervision platform obtains the current accumulating losses income Δ r of the photovoltaic plant by below equation：
Δ r=Δ ea×p；
Wherein described Δ r is the current accumulating losses income of the photovoltaic plant, and described p is current rate for incorporation into the power network, described
ΔeaFor the current the accumulative total of generating electricity loss of the photovoltaic plant.
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| CN107040206A (en) * | 2017-05-02 | 2017-08-11 | 东北电力大学 | A kind of photovoltaic battery panel dust stratification condition monitoring system and cleaning frequency optimization method |
| CN107086856A (en) * | 2017-04-20 | 2017-08-22 | 华电电力科学研究院 | Experimental provision and computational methods that dust fall influences on generating efficiency |
| CN107222721A (en) * | 2017-06-30 | 2017-09-29 | 安徽大恒能源科技有限公司 | A kind of photovoltaic module dedusting demand monitoring and Forecasting Methodology |
| CN107578164A (en) * | 2017-08-31 | 2018-01-12 | 阳光电源股份有限公司 | A kind of solar panel cleaning method for early warning and device |
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| CN111222763A (en) * | 2019-12-27 | 2020-06-02 | 中节能万年太阳能科技有限公司 | Photovoltaic module washs decision-making instrument |
| CN111461407A (en) * | 2020-03-10 | 2020-07-28 | 苏州瑞得恩工业物联网科技有限公司 | Photovoltaic power station cleaning frequency prediction method and storage medium |
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| CN109787552A (en) * | 2019-03-21 | 2019-05-21 | 合肥阳光新能源科技有限公司 | A kind of cleaning method and system of photovoltaic plant |
| CN110162836A (en) * | 2019-04-22 | 2019-08-23 | 创维互联（北京）新能源科技有限公司 | Dust stratification evaluation method, dust stratification cleaning control method and dust stratification evaluation system and readable storage medium storing program for executing based on photovoltaic panel generating capacity |
| CN110649883A (en) * | 2019-09-29 | 2020-01-03 | 合肥阳光新能源科技有限公司 | Cleaning method and device and computer equipment |
| CN111211578A (en) * | 2019-12-19 | 2020-05-29 | 国电南瑞科技股份有限公司 | Method for calculating electric quantity improvement of photovoltaic power station |
| CN111211578B (en) * | 2019-12-19 | 2022-09-02 | 国电南瑞科技股份有限公司 | Method for calculating boost electric quantity of photovoltaic power station |
| CN111047219A (en) * | 2019-12-27 | 2020-04-21 | 新奥数能科技有限公司 | Photovoltaic cleaning determination method and device, readable medium and electronic equipment |
| CN111222763A (en) * | 2019-12-27 | 2020-06-02 | 中节能万年太阳能科技有限公司 | Photovoltaic module washs decision-making instrument |
| CN111461407A (en) * | 2020-03-10 | 2020-07-28 | 苏州瑞得恩工业物联网科技有限公司 | Photovoltaic power station cleaning frequency prediction method and storage medium |
| ES2952140A1 (en) * | 2022-03-21 | 2023-10-27 | Endesa Generacion S A | METHOD FOR MODELING THE DEGREE OF FILTING OF PHOTOVOLTAIC PANELS AND OPTIMIZATION OF CLEANING (Machine-translation by Google Translate, not legally binding) |
| CN115392791A (en) * | 2022-10-21 | 2022-11-25 | 成都秦川物联网科技股份有限公司 | Smart city public facility management method, system and medium based on Internet of things |
| CN115392791B (en) * | 2022-10-21 | 2023-01-24 | 成都秦川物联网科技股份有限公司 | Smart city public facility management method, system and medium based on Internet of things |
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| CN116976105A (en) * | 2023-07-25 | 2023-10-31 | 绍兴建元电力集团有限公司 | Method and system for determining photovoltaic lean cleaning period |
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Address after: 200122 Pudong New Area Pu circuit 489, Shanghai, 11 floor, Yan Qiao building. Applicant after: Shanghai Xuji Electric Co., Ltd. Applicant after: Xuji Group Co., Ltd. Applicant after: State Grid Corporation of China Address before: 200122 Pudong New Area Pu circuit 489, Shanghai, 11 floor, Yan Qiao building. Applicant before: Shanghai Xuji Electric Co., Ltd. Applicant before: Xuji Group Co., Ltd. Applicant before: State Grid Corporation of China |
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