CN112364060B - Transmission method of photovoltaic intelligent operation and maintenance data - Google Patents

Transmission method of photovoltaic intelligent operation and maintenance data Download PDF

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CN112364060B
CN112364060B CN202011256686.2A CN202011256686A CN112364060B CN 112364060 B CN112364060 B CN 112364060B CN 202011256686 A CN202011256686 A CN 202011256686A CN 112364060 B CN112364060 B CN 112364060B
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information
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CN112364060A (en
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梁建盈
魏瑜伸
肖慧明
薛鹏
彭建伟
水甲
谢雄
林良彪
林淮
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Hunan Anhuayuan Power Technology Co ltd
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Abstract

The invention discloses a transmission method of photovoltaic intelligent operation and maintenance data, which comprises the following steps: acquiring data information of all photovoltaic components, photovoltaic data terminals, photovoltaic power stations and photovoltaic operation and maintenance scheduling terminals in a preset range, and constructing a whole-network photovoltaic operation and maintenance model based on all the data information; training the whole-network photovoltaic operation and maintenance model by using the data information of all the photovoltaic components; calculating the variation trend of the data information of each photovoltaic component by using each photovoltaic data terminal; diagnosing and analyzing the data change trend of each photovoltaic component in the local area by using a data server of the photovoltaic power station, and randomly encrypting the abnormal data information of each photovoltaic component by taking the local area data characteristics as a key; and decrypting the abnormal data information of each photovoltaic component in the preset range by using the photovoltaic operation and maintenance scheduling end, and mapping the abnormal data information to the whole-network photovoltaic operation and maintenance model. The invention can improve the transmission speed and the safety of photovoltaic data.

Description

Transmission method of photovoltaic intelligent operation and maintenance data
Technical Field
The invention relates to the technical field of data transmission, in particular to a transmission method of photovoltaic intelligent operation and maintenance data.
Background
With the development of new energy technology, especially the large-scale construction of photovoltaic power stations, photovoltaic big data including voltage, current, temperature, SOH, SOC and the like need to be monitored in photovoltaic intelligent operation and maintenance. At present, a plurality of systems collect data of all parts and then do not need to distinguish and transmit the data completely, so that invalid occupation of a communication link is caused, the burden of a collector is increased, a large amount of repeated data is generated for a data center, and great trouble is brought to photovoltaic intelligent operation and maintenance data processing.
Under the general condition, the normal transmission of the photovoltaic operation and maintenance data is ensured by mainly utilizing the means of increasing the communication bandwidth, compressing the data, preparing a special link for transmission and the like, but along with the capacity expansion of a photovoltaic power station and the increase of equipment, the data volume is larger and larger, and the original means is not effective any more.
Disclosure of Invention
In view of the above, the invention provides a transmission method of photovoltaic intelligent operation and maintenance data, which improves the transmission speed of data by reducing a large amount of repeated data in the data transmission process; by adopting a random encryption means, the security of data transmission is improved.
In order to achieve the purpose, the invention adopts the following technical scheme:
a transmission method of photovoltaic intelligent operation and maintenance data comprises the following steps:
acquiring data information of all photovoltaic components, photovoltaic data terminals, photovoltaic power stations and photovoltaic operation and maintenance scheduling terminals in a preset range, and constructing a whole-network photovoltaic operation and maintenance model based on all the data information;
training the whole-network photovoltaic operation and maintenance model by using the data information of all the photovoltaic components until the whole-network photovoltaic operation and maintenance model tends to be stable;
collecting data information of each photovoltaic component in the region to which each photovoltaic data terminal belongs by using each photovoltaic data terminal, and calculating the variation trend of the data information of each photovoltaic component;
diagnosing and analyzing the data change trend of each photovoltaic component in the local area by using a data server of the photovoltaic power station, and randomly encrypting the abnormal data information of each photovoltaic component by taking the local area data characteristics as a key;
and decrypting the abnormal data information of each photovoltaic component in a preset range by using the photovoltaic operation and maintenance scheduling terminal, and mapping the abnormal data information to the whole-network photovoltaic operation and maintenance model.
Preferably, the preset range is a city range, a provincial range or a national range.
Preferably, the full-network photovoltaic operation and maintenance model is a hierarchical and easily-extensible data model, and an expression of the model is as follows:
Mall＝Msf(Mpf(Macqf(Mc)))；
in the above formula, McRepresenting a two-dimensional table data model for describing data information of all the photovoltaic components within a preset range; the data information of each photovoltaic component at least comprises: longitude, latitude, altitude, time scale, voltage, current, temperature and alarm information of power generation;
Macqrepresenting a two-dimensional table data model for describing data information of the photovoltaic data terminal and abnormal data information of each photovoltaic component in the region to which the photovoltaic data terminal belongs; the data information of the photovoltaic data terminal at least comprises: the position parameters, time scales and health states of the photovoltaic data terminal;
Mprepresenting a two-dimensional table data model, which is used for describing data information of the photovoltaic power station and abnormal data information of each photovoltaic data terminal in the region to which the photovoltaic power station belongs; the data information of the photovoltaic power station at least comprises: the position parameters, time scales and health states of the photovoltaic power station;
Msthe two-dimensional table data model is used for describing data information of the photovoltaic operation and maintenance terminal and abnormal information of all the photovoltaic power stations in a preset range; the photovoltaic operation and maintenance scheduling terminal data information at least comprises: the photovoltaic operation and maintenance terminal comprises a serial number, a code, a time scale and a health state;
Mallexpressed as a full-grid photovoltaic operation and maintenance model, which is used for adopting three dimensionsDescribing data information of all the photovoltaic operation and maintenance scheduling terminals, the photovoltaic power stations, the photovoltaic data terminals and the photovoltaic components in a table mode within a preset range, and updating abnormal data information according to a change rule of data;
f denotes finding all content.
Preferably, the updating the abnormal data information according to the change rule of the data includes: when the change trend of the data information of the photovoltaic component exceeds a preset range, updating the abnormal data which exceed the preset range, and maintaining the data which do not exceed the preset range as the original state.
Preferably, the method for determining the trend of the whole-grid photovoltaic operation and maintenance model to be stable and the method for determining the trend of the data information of each photovoltaic component to be changed are both: judging whether the currently selected data is stable or not according to the trend change of the local data; the local data is a data set of adjacent locations of the selected data.
Preferably, the basis for determining that the full-grid photovoltaic operation and maintenance model tends to be stable is as follows: the rate of change of the local data is less than 5%.
Preferably, the basis for determining that the full-grid photovoltaic operation and maintenance model tends to be stable is as follows: the rate of change of the local data is less than 2%.
Preferably, the local data is characterized in that: the photovoltaic power station has unique configuration parameters in the whole-network photovoltaic operation and maintenance model according to the region to which the photovoltaic power station belongs.
Preferably, the unique configuration parameter is a location parameter; the location parameter is longitude, latitude or altitude.
Preferably, the random encryption method is as follows: randomly encrypting a data head in the abnormal data information of each photovoltaic component; the data header is the first 128 bytes of the message header and the message content, and the default of less than 128 bytes is filled with random characters.
According to the technical scheme, compared with the prior art, the invention discloses the transmission method of the photovoltaic intelligent operation and maintenance data, when a large amount of photovoltaic data is processed, the data in the fluctuation range is not processed, transmission is not needed, only abnormal data is processed, and the abnormal data is transmitted after entering the position and state information of the equipment, so that a large amount of repeated data can be reduced, and the processing speed is greatly improved; meanwhile, the invention adopts a random encryption means, thereby improving the security of data transmission; the high-efficiency and safe transmission of the data can be ensured without increasing the communication bandwidth and compressing the data.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a transmission method of photovoltaic intelligent operation and maintenance data provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention discloses a transmission method for photovoltaic intelligent operation and maintenance data, including the following steps:
s1, acquiring data information of all photovoltaic components, photovoltaic data terminals, photovoltaic power stations and photovoltaic operation and maintenance scheduling terminals in a preset range, and constructing a whole-network photovoltaic operation and maintenance model based on all the data information.
The preset range may be a city range, a provincial range or a national range.
The whole-network photovoltaic operation and maintenance model is a hierarchical and easily-expanded data model and comprises all data information of a photovoltaic component, a photovoltaic data terminal, a photovoltaic power station and a photovoltaic operation and maintenance scheduling end, and the expression is as follows:
Mall＝Msf(Mpf(Macqf(Mc)))；
in the above formula, McA data model representing the photovoltaic components, which describes the relevant properties of each photovoltaic component in the form of a two-dimensional table. McData information for describing all photovoltaic components within a preset range; the data information of each photovoltaic component at least comprises: longitude, latitude, altitude, time scale, voltage, current, temperature and alarm information of power generation;
Macqa data model representing a photovoltaic data terminal, which describes the relevant properties of the individual photovoltaic components in the form of a two-dimensional table. M is a group ofacqThe data information is used for describing the photovoltaic data terminal and the abnormal data information of each photovoltaic component in the region to which the data information belongs; the data information of the photovoltaic data terminal at least comprises: location parameters (longitude, latitude, altitude), time scale and health status of the photovoltaic data terminal.
The photovoltaic data terminal performs anomaly analysis and calculation on each photovoltaic component in the area where the photovoltaic data terminal is located, and uploads data information of the photovoltaic data terminal and anomaly data information of each photovoltaic component in the area where the photovoltaic data terminal is located to the photovoltaic power station.
MpA data model representing the photovoltaic power plants, which describes the relevant properties of the individual photovoltaic power plants in the form of a two-dimensional table. MpThe system comprises data information used for describing a photovoltaic power station and abnormal data information of each photovoltaic data terminal in an area to which the data information belongs; the data information of the photovoltaic power station at least comprises: location parameters, time scales and health states of the photovoltaic power station.
The photovoltaic power station performs anomaly analysis and calculation on each photovoltaic data terminal in the area where the photovoltaic power station is located, and uploads the data information of the photovoltaic power station and the anomaly data information of each photovoltaic data terminal in the area where the photovoltaic power station is located to the photovoltaic power station.
MsThe data model is used for representing the photovoltaic power station, describing the relevant attributes of the photovoltaic operation and maintenance scheduling terminal in a two-dimensional table mode, and describing the data information of the photovoltaic operation and maintenance terminal and the location in a preset rangeAbnormal information of the photovoltaic power station exists, and the information is mapped to a whole-network photovoltaic operation and maintenance model; the photovoltaic operation and maintenance scheduling terminal data information at least comprises: the photovoltaic operation and maintenance terminal comprises the serial number, the code, the time scale and the health state of the photovoltaic operation and maintenance terminal. And only when abnormal information exists, the data information is uploaded to the whole-network photovoltaic operation and maintenance model, and when the abnormal information does not exist, the data is not uploaded.
MallThe method is characterized by comprising the steps of representing a whole-network photovoltaic operation and maintenance model, describing data information of all photovoltaic operation and maintenance scheduling terminals, photovoltaic power stations, photovoltaic data terminals and photovoltaic components in a preset range in a three-dimensional table mode, and updating abnormal data information according to change rules of data. Dimension 1 is location information of all relevant devices, dimension 2 is status information of all relevant devices, and dimension 3 is status data of all relevant devices.
When the operation is initialized, all data need to be loaded until the data of the whole-network photovoltaic operation and maintenance model tend to be stable. Afterwards, only the exception information required by the policy needs to be updated. The abnormality information is data out of a predetermined range. Essentially, only the abnormal data information is updated, and the data which does not exceed the preset range is kept as the original state. The policy refers to a rule of data change, for example, if the voltage range of the photovoltaic power generation unit is set to [4.8V, 5.2V ], then the voltage of the photovoltaic power generation unit exceeds the range (V <4.8 or V >5.2), then the data is abnormal data and needs to be uploaded. When the normal range of the slope of the data change trend fitting straight line is set to be [ -0.02, +0.02], if the slope of the calculated fitting straight line is beyond the range (k < -0.02 or k >0.02), the data is abnormal data and needs to be uploaded.
f denotes finding all content.
And S2, training the whole-network photovoltaic operation and maintenance model by using the data information of all the photovoltaic components until the whole-network photovoltaic operation and maintenance model tends to be stable.
The method specifically comprises the following steps: and adopting the local data as a local data set, and judging whether the currently selected data is stable or not according to the trend change of the local data set.
The judgment basis that the whole-network photovoltaic operation and maintenance model tends to be stable is as follows: the rate of change of the data set is less than 5%, or less than 2%.
The data trend change of the adjacent photovoltaic components refers to data of the photovoltaic components of the adjacent regions. The local data is selected by using data of an adjacent area of the data. In the case of photovoltaic component data, the data for the photovoltaic component in the immediate vicinity of the component are local data. As shown in the following table: the data of 8 photovoltaic components such as 2-9 photovoltaic components adjacent to the photovoltaic component-1 are all local data of the photovoltaic component-1; while the data of the photovoltaic components-3, 4, 19 are local data of the adjacent photovoltaic component-20. That is, local data is a collection of data that picks up adjacent locations of the data.
TABLE 1
Photovoltaic Member-20 Photovoltaic component-19 Photovoltaic component-18 Photovoltaic Member-17
Photovoltaic Member-3 Photovoltaic Member-4 Photovoltaic Member-5 Photovoltaic component-16
Photovoltaic Member-2 Photovoltaic Member-1 Photovoltaic component-6 Photovoltaic component-15
Photovoltaic Member-9 Photovoltaic component-8 Photovoltaic Member-7 Photovoltaic component-14
Photovoltaic Member-10 Photovoltaic component-11 Photovoltaic Member-12 Photovoltaic component-13
And S3, acquiring data information of each photovoltaic component in the area to which each photovoltaic data terminal belongs by using each photovoltaic data terminal, and calculating the variation trend of the data information of each photovoltaic component.
The calculation areas of all the photovoltaic data terminals are different and are uniquely configured in the whole-network photovoltaic operation and maintenance model; calculating data change and trend, and calculating by adopting local data; when the data is uploaded to a data server of the photovoltaic power station in the local area, a special link is adopted to encrypt the data head. The selection of the local data is in accordance with the selection method in S2.
The data header refers to the first 128 bytes of the message header and the data content, and the default of less than 128 bytes is filled with random characters.
The dedicated link is a communication link separately configured for the service, such as a high-speed serial port, an optical fiber communication ethernet, and the like, and is a link that is selected to be not through due to the size of the communication data volume.
S4, diagnosing and analyzing the data change trend of each photovoltaic component in the local area by using the data server of the photovoltaic power station, and randomly encrypting the abnormal data information of each photovoltaic component by taking the local area data characteristics as a key.
The diagnosis and analysis method of the photovoltaic power station data server for the data adopts a configurable diagnosis method, adopts an adjusted diagnosis method according to different regions, and adopts methods such as data abnormity detection, data loss detection and the like; the local characteristics refer to unique parameters of the photovoltaic power station, such as position parameters (longitude, latitude, height) and the like. And the intelligent operation and maintenance scheduling end uploaded to the whole network transmits the data by adopting a special link.
And S5, decrypting the abnormal data information of each photovoltaic component in the preset range by using the photovoltaic operation and maintenance scheduling end, and mapping the abnormal data information to the whole-network photovoltaic operation and maintenance model.
The intelligent operation and maintenance scheduling end decrypts data of each photovoltaic power station, the secret key is different with each photovoltaic power station, and the hash value can be calculated according to the position information of the photovoltaic power stations and is quickly mapped to the whole-network photovoltaic operation and maintenance model.
And (3) calculating on a 500 ten thousand point scale, because of the stability of photovoltaic power generation, the data in the abnormal state every time is less than 5 per thousand, and if 5 per thousand is taken, the data transmission quantity is 5 per thousand originally. Assuming that data is collected once per minute, the data transmitted each day is 26.8GB, and the data amount required to be transmitted is 0.13 GB.
The core of the invention is that all data are transmitted when the system is started for the first time, then only data with obvious change and data set with change trend are transmitted, and data header encryption is carried out in the transmission process, thus reducing a large amount of repeated data, greatly improving processing speed, improving safety of data transmission by adopting a random encryption means and having extremely important practical significance.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (9)

1. A transmission method of photovoltaic intelligent operation and maintenance data is characterized by comprising the following steps:
acquiring data information of all photovoltaic components, photovoltaic data terminals, photovoltaic power stations and photovoltaic operation and maintenance scheduling terminals in a preset range, and constructing a whole-network photovoltaic operation and maintenance model based on all the data information; the whole-network photovoltaic operation and maintenance model is a hierarchical and easily-expanded data model, and the expression of the model is as follows:
Mall＝Msf(Mpf(Macqf(Mc)))；
in the above formula, McRepresenting a two-dimensional table data model for describing data information of all the photovoltaic components within a preset range; the data information of each photovoltaic component at least comprises: longitude, latitude, altitude, time scale, voltage, current, temperature and alarm information of power generation;
Macqrepresenting a two-dimensional table data model for describing data information of the photovoltaic data terminal and abnormal data information of each photovoltaic component in the region to which the photovoltaic data terminal belongs; the data information of the photovoltaic data terminal at least comprises: the position parameters, time scales and health states of the photovoltaic data terminal;
Mprepresenting a two-dimensional table data model, which is used for describing data information of the photovoltaic power station and abnormal data information of each photovoltaic data terminal in the region to which the photovoltaic power station belongs; the data information of the photovoltaic power station at least comprises: the position parameters, time scales and health states of the photovoltaic power station;
Msthe two-dimensional table data model is used for describing data information of the photovoltaic operation and maintenance scheduling end and abnormal information of all the photovoltaic power stations in a preset range; the photovoltaic operation and maintenance scheduling terminal data information at least comprises: the photovoltaic operation and maintenance scheduling end comprises the serial number, the code, the time scale and the health state;
Mallexpressed as a full-network photovoltaic operation and maintenance model, which is used for miningDescribing data information of all the photovoltaic operation and maintenance scheduling terminals, the photovoltaic power station, the photovoltaic data terminal and the photovoltaic component in a preset range in a three-dimensional table mode, and updating abnormal data information according to a change rule of data;
f represents the calculation of all contents;
training the whole-network photovoltaic operation and maintenance model by using the data information of all the photovoltaic components until the whole-network photovoltaic operation and maintenance model tends to be stable;
collecting data information of each photovoltaic component in the region to which each photovoltaic data terminal belongs by using each photovoltaic data terminal, and calculating the variation trend of the data information of each photovoltaic component;
diagnosing and analyzing the data change trend of each photovoltaic component in the local area by using a data server of the photovoltaic power station, and randomly encrypting the abnormal data information of each photovoltaic component by taking the local area data characteristics as a key;
and decrypting the abnormal data information of each photovoltaic component in a preset range by using the photovoltaic operation and maintenance scheduling terminal, and mapping the abnormal data information to the whole-network photovoltaic operation and maintenance model.
2. The method for transmitting the photovoltaic intelligent operation and maintenance data according to claim 1, wherein the preset range is a city range, a provincial range or a national range.
3. The method for transmitting the photovoltaic intelligent operation and maintenance data according to claim 1, wherein the updating of the abnormal data information according to the change rule of the data comprises: when the change trend of the data information of the photovoltaic component exceeds a preset range, updating the abnormal data which exceed the preset range, and maintaining the data which do not exceed the preset range as the original state.
4. The method for transmitting the photovoltaic intelligent operation and maintenance data according to claim 1, wherein a method for determining that the whole-network photovoltaic operation and maintenance model tends to be stable and a method for determining a variation trend of the data information of each photovoltaic component are both: judging whether the currently selected data is stable or not according to the trend change of the local data; the local data is a data set of adjacent locations of the selected data.
5. The method for transmitting the photovoltaic intelligent operation and maintenance data according to claim 4, wherein the basis for determining that the full-network photovoltaic operation and maintenance model tends to be stable is as follows: the rate of change of the local data is less than 5%.
6. The method for transmitting the photovoltaic intelligent operation and maintenance data according to claim 5, wherein the basis for determining that the full-network photovoltaic operation and maintenance model tends to be stable is as follows: the rate of change of the local data is less than 2%.
7. The transmission method of photovoltaic intelligent operation and maintenance data according to claim 1, wherein the local area data is characterized in that: the photovoltaic power station has unique configuration parameters in the whole-network photovoltaic operation and maintenance model according to the region to which the photovoltaic power station belongs.
8. The transmission method of photovoltaic intelligent operation and maintenance data according to claim 7, wherein the unique configuration parameter is a location parameter; the location parameter is longitude, latitude or altitude.
9. The transmission method of photovoltaic intelligent operation and maintenance data according to claim 1, wherein the random encryption method comprises: randomly encrypting a data head in the abnormal data information of each photovoltaic component; the data header is the first 128 bytes of the message header and the message content, and the default of less than 128 bytes is filled with random characters.
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