Electric power data acquisition method based on electric power system

Abstract

The invention discloses an electric power data acquisition method based on an electric power system, relates to the technical field of data acquisition, and solves the technical problem of dynamically adjusting the acquisition frequency and the acquisition period according to the actual condition of electric power data. And whether the current acquisition period and frequency setting are reasonable can be found in time. If the data format is not reasonable, the collection period corresponding to the historical data which is similar to the current time period and has the minimum collection period comparison value is screened out based on the historical data to serve as the adjustment standard, dynamic optimization of the collection period is achieved, and the transmission speed of the normal data format is obtained and sorted; and the relationship between the conversion response time of the conversion data format and the data capacity is analyzed, and the most suitable normal data format is selected for transmission according to the actually acquired power data capacity, so that the data acquisition and transmission efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data acquisition, and in particular to a method for acquiring power data based on a power system. Background Art

[0002] With the continuous development and increasing intelligence of power systems, the collection of power data plays a vital role in the stable operation, optimized management and fault diagnosis of power systems.

[0003] According to the publication number CN112882424B, a power system data acquisition system and method are disclosed, wherein the acquisition system includes a main board, a sub-board and a backboard, the backboard is provided with a main board slot and a plurality of sub-board slots, and the main board and the sub-board are installed on the backboard through the slots; the main board is used to unify the acquisition signals of all sub-boards into clock, chip select, conversion signal and data, and transmit them to each sub-board through the backboard in the form of M-LVDS level; the sub-board includes an analog quantity acquisition board and a switch quantity acquisition board, which are used to collect switch quantity signals and analog quantity signals according to the acquisition signals of the main board, and send them to the main board for analysis.

[0004] However, some existing power data collection methods lack flexibility in setting the frequency and period of data collection when they are used. They often use fixed parameter settings, which makes it difficult to adapt to the changing characteristics of power data in different time periods and under different working conditions. At the same time, the processing of the collected data format is not intelligent enough, and the impact of data format conversion on collection efficiency and data accuracy, as well as the compatibility between data transmission speed and data capacity, are not fully considered. In addition, in terms of matching the collection capacity with the actual data capacity, there is a lack of effective dynamic adjustment mechanism, which may lead to incomplete data collection or waste of resources. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a power data collection method based on a power system, which solves the problem of dynamically adjusting the collection frequency and collection period according to the actual situation of the power data.

[0006] To achieve the above objectives, the present invention is implemented by the following technical solutions: a method for collecting power data based on a power system, the method specifically comprising the following steps:

[0007] Step 1: Obtain the collection frequency and collection period of power data, and calculate the proportion of abnormal data corresponding to the collection frequency within the collection period;

[0008] Step 2: Analyze the generated period adjustment signal, and adjust the collection period corresponding to the current time period according to historical data to generate collection period information;

[0009] Step 3: Analyze the collection method of power data according to the generated collection cycle information, determine whether the collection method needs to be adjusted according to the basic information of the power data, and generate a judgment result;

[0010] Step 4: Analyze the collection of power data based on the obtained data format information, and generate a method for collecting power data by analyzing the collection capacity of the power data.

[0011] As a further solution of the present invention, the calculation method of the abnormal data ratio in step 1 is:

[0012] The current time period is obtained and recorded as the target time period, and the collection period t corresponding to the target time period is obtained. At the same time, the collection frequency within the collection period t is obtained, and the number of collections is calculated based on the collection frequency and recorded as c. Then, the corresponding power data is obtained based on the collection frequency and recorded as i, and i=1, 2, ..., j, where j represents the number of power data;

[0013] The collected power data is classified into correct data and error data, and the percentage of error data is calculated. Similarly, the percentage of error data corresponding to the number of collection times c is calculated. At the same time, the sum of all percentages within the time period t is calculated and recorded as the comparison value Z. At the same time, the comparison value Z is compared with the preset value.

[0014] As a further solution of the present invention, the specific method of comparing the comparison value in step 1 is:

[0015] If the comparison value Z is greater than the preset value Zy, it means that the acquisition cycle needs to be adjusted and a cycle adjustment signal is generated. Otherwise, if the comparison value Z is less than the preset value Zy, it means that the acquisition cycle does not need to be adjusted and a normal cycle signal is generated.

[0016] As a further solution of the present invention, the specific method of analyzing the periodic adjustment signal in step 2 is:

[0017] Obtain historical data, and filter the historical data based on the current time period to obtain pre-selected historical data, and label them as n, where n=1, 2, ..., m, and m represents the number of pre-selected historical data. Then calculate the collection cycle comparison value corresponding to the pre-selected historical data n, and sort them from small to large according to the collection cycle comparison value. At the same time, select the collection cycle corresponding to the smallest comparison value as the adjustment standard, and generate collection cycle information.

[0018] As a further solution of the present invention, the specific method of analyzing the collection method of power data in step 3 is:

[0019] Obtain the transmission protocol for power data collection, and obtain the data format type in the transmission protocol, which is labeled as a, and a=1, 2, ..., b, where b represents the number of data format types, and then judge the data format a. If the data format of the power data needs to be converted during collection, the corresponding data format is marked as a conversion data format. Conversely, if the data format of the power data does not need to be converted during collection, the corresponding data format is marked as a normal data format.

[0020] All conversion data formats are obtained and recorded as c, and c=1, 2, ..., d, where d represents the number of conversion data formats. At the same time, the transmission speed corresponding to the normal data format is obtained and recorded as V. The transmission speed V is sorted from large to small, and the conversion data format c and the conversion response time of the conversion data format are obtained. At the same time, the relationship between the conversion response time and the data capacity is analyzed, and the corresponding normal data format is selected based on the collected power data capacity to generate data format information.

[0021] As a further solution of the present invention, the specific method of analyzing the collection of power data based on the obtained data format information in step 4 is:

[0022] The power data to be collected is obtained and labeled as k, where k=1, 2, ..., h. The data capacity corresponding to the power data k is obtained and recorded as Lk. Then, the collection period is obtained and recorded as T. The corresponding collection frequency P is obtained. The collection capacity corresponding to the collection period is calculated based on the obtained parameters and recorded as L1. The size of the data capacity Lk and the collection capacity L1 is determined.

[0023] If the collection capacity L1 is greater than the data capacity Lk, the power data is collected using the generated collection cycle information, and a collection method is generated;

[0024] If the acquisition capacity L1 is smaller than the data capacity Lk, the data capacity Lk needs to be re-analyzed, and a secondary analysis signal is generated and processed.

[0025] As a further solution of the present invention, the specific method of processing the secondary analysis signal in step 4 is:

[0026] The generated secondary analysis signal is obtained, and the capacity difference between the data capacity Lk and the collection capacity L1 is calculated and recorded as Lc, and the capacity difference Lc is compared with the preset value Ly. If the capacity difference Lc is greater than the preset value Ly, the periodic secondary collection information is generated. Otherwise, if the capacity difference Lc is less than the preset value Ly, a capacity analysis signal is generated and the capacity analysis signal is processed at the same time.

[0027] As a further solution of the present invention, the specific method of processing the capacity analysis signal in step 4 is:

[0028] Get the data capacity Lk, then get the acquisition frequency corresponding to the acquisition period t, and get the single acquisition capacity corresponding to the acquisition frequency, recorded as Ld, and calculate the required acquisition frequency times according to the data capacity Lk, recorded as G, and the calculation formula is: Then the acquisition frequency G is analyzed;

[0029] If the acquisition frequency G is an odd number, the data capacity Lk is divided into three equal parts, and the divided power data is collected at the same time to generate an acquisition method;

[0030] If the acquisition frequency G is an even number, the data capacity Lk is divided into four equal parts, and the divided power data is collected at the same time to generate an acquisition method.

[0031] The present invention provides a method for collecting power data based on a power system. Compared with the prior art, it has the following beneficial effects:

[0032] The present invention calculates the proportion of abnormal data corresponding to the collection frequency within the collection period and compares it with the preset value, so as to timely find out whether the current collection period and frequency settings are reasonable. If not, the collection period corresponding to the historical data similar to the current time period and with the smallest collection period comparison value is selected based on the historical data as the adjustment standard, thus realizing the dynamic optimization of the collection period;

[0033] In terms of data format, this application can analyze multiple data formats in the transmission protocol and distinguish between data formats that need to be converted and normal data formats. By obtaining the transmission speed of the normal data format and sorting it, and analyzing the relationship between the conversion response time and data capacity of the converted data format, the most appropriate normal data format is selected for transmission according to the actual collected power data capacity. This helps to improve the efficiency of data collection and transmission, and reduce the delay and resource consumption caused by data format conversion;

[0034] In order to match the acquisition capacity with the actual data capacity, when the acquisition capacity is less than the data capacity, this application can not only generate a secondary analysis signal, but also compare the calculated capacity difference with the preset value to decide whether to perform periodic secondary acquisition or generate a capacity analysis signal for further processing. When processing the capacity analysis signal, the data capacity is evenly collected in different ways according to the parity of the acquisition frequency. This dynamic adjustment mechanism can ensure that the power data can be collected as completely as possible in all situations, while avoiding the waste of resources caused by excessive acquisition, and improving the stability and reliability of the data acquisition process. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1It is a step method diagram of the present invention;

[0036] Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] For example, see Figure 1 and Figure 2 The present application provides a method for collecting power data based on a power system, which specifically includes the following steps:

[0039] Step 1: Obtain the collection frequency and collection period of power data, and calculate the proportion of abnormal data corresponding to the collection frequency within the collection period.

[0040] The current time period is obtained and recorded as the target time period, and the collection period t corresponding to the target time period is obtained. At the same time, the collection frequency within the collection period t is obtained, and the number of collections is calculated based on the collection frequency and recorded as c. Then, the corresponding power data is obtained based on the collection frequency and recorded as i, and i=1, 2, ..., j, where j represents the number of power data;

[0041] The collected power data is classified to obtain correct data and erroneous data, and the specific classification standard here is determined according to the value of the data itself, and the number of erroneous data is calculated. The calculated ratio here is the abnormal ratio corresponding to the single acquisition frequency. Similarly, the number of erroneous data corresponding to the acquisition times c is calculated, and the sum of all the number ratios within the time period t is calculated as the comparison value Z. The comparison value here is the sum of the number ratios corresponding to all the acquisition frequencies within the time period t. For example, if the number of acquisitions c within the time period t is five times, the number ratios of the erroneous data corresponding to the five times are calculated respectively, and then the number ratios of the five times are calculated. For example, the sum of the percentages is as follows: in a power data collection process lasting 1 hour (i.e., time period t = 1 hour), a total of 5 collections were conducted (c = 5). The first collection collected 100 data, of which 5 were erroneous data, accounting for 1 = 5%; the second collection collected 120 data, of which 8 were erroneous data, accounting for 120≈6.67%; the third collection collected 90 data, of which 6 were erroneous data, accounting for about 6.67%; the fourth collection collected 110 data, of which 4 were erroneous data, accounting for about 3.64%; the fifth collection collected 105 data, of which 7 were erroneous data, accounting for about 6.67%. Then the comparison value Z = 5% + 6.67% + 6.67% + 3.64% + 6.67% = 28.65%, and the calculated comparison value Z is compared with the preset value Zy;

[0042] If the comparison value Z is greater than the preset value Zy, it means that the acquisition cycle needs to be adjusted and a cycle adjustment signal is generated. Otherwise, if the comparison value Z is less than the preset value Zy, it means that the acquisition cycle does not need to be adjusted and a normal cycle signal is generated.

[0043] Step 2: Analyze the generated period adjustment signal, and adjust the collection period corresponding to the current time period according to historical data to generate collection period information.

[0044] Obtain historical data, and filter the historical data based on the current time period to obtain pre-selected historical data. The pre-selected historical data here represents the same time as the current time period, and is labeled n, and n = 1, 2, ..., m, and m represents the number of pre-selected historical data. Then calculate the collection cycle comparison value corresponding to the pre-selected historical data n, and the calculation method here is the same as the calculation method in step one, and sort from small to large according to the collection cycle comparison value, and select the collection cycle corresponding to the smallest comparison value as the adjustment standard, and generate the collection cycle information.

[0045] The calculated collection cycle comparison values ​​are: the collection cycle comparison value corresponding to the pre-selected historical data 1 is 0.35; the collection cycle comparison value corresponding to the pre-selected historical data 2 is 0.42; the collection cycle comparison value corresponding to the pre-selected historical data 3 is 0.38; the collection cycle comparison value corresponding to the pre-selected historical data 4 is 0.29; the collection cycle comparison value corresponding to the pre-selected historical data 5 is 0.45. After sorting these comparison values, it is found that the comparison value 0.29 of the pre-selected historical data 4 is the smallest, so the collection cycle corresponding to the pre-selected historical data 4 is selected as the adjustment standard, and the collection cycle information is generated for subsequent data collection work.

[0046] Step three: Analyze the collection method of power data according to the generated collection cycle information, determine whether the collection method needs to be adjusted according to the basic information of the power data, and generate a judgment result.

[0047] The power data is collected based on the generated collection cycle information, and a collection method of the power data is obtained, and the collection method includes the collected data format, data capacity and transmission speed, and then analyzed respectively;

[0048] Obtain the transmission protocol for power data collection, and obtain the data format type in the transmission protocol, which is labeled as a, and a=1, 2, ..., b, where b represents the number of data format types, and then judge the data format a. If the data format of the power data needs to be converted during collection, the corresponding data format is marked as a conversion data format. Conversely, if the data format of the power data does not need to be converted during collection, the corresponding data format is marked as a normal data format.

[0049] All conversion data formats are obtained and recorded as c, and c=1, 2, ..., d, where d represents the number of conversion data formats, and the transmission speed corresponding to the normal data format is obtained and recorded as V, and the conversion response time of the conversion data format c and the conversion data format is obtained, and the relationship between the conversion response time and the data capacity is analyzed, and the corresponding normal data format is selected based on the collected power data capacity to generate data format information; specifically, the data format information generated here indicates that when the power data is subsequently collected, the data capacity is analyzed, and the standard data format is selected for transmission according to the data capacity;

[0050] For example, in an electric power monitoring system, a certain custom transmission protocol is adopted, which contains three data formats, namely b=3, numbered 1, 2, and 3 respectively. After analysis, data formats 1 and 3 need to be converted during collection, so they are marked as conversion data formats, d=2, numbered 1 and 2 correspond to data formats 1 and 3 respectively. The transmission speed V corresponding to normal data format 2 is 100Mbps. Assume that the conversion response time of conversion data format 1 (corresponding to data format 1) is 5ms when the data capacity is 100MB, and the conversion response time of conversion data format 2 (corresponding to data format 3) is 3ms under the same data capacity. If the capacity of electric power data collected at a certain time is expected to be 100MB, and normal data format 2 meets the system requirements in terms of transmission speed, then normal data format 2 can be selected as the standard data format for subsequent collection of data of this capacity, and the corresponding data format information is generated so that the system follows the format selection strategy during data collection and improves the overall data processing efficiency.

[0051] Step 4: Analyze the collection of power data based on the obtained data format information, and generate a method for collecting power data by analyzing the collection capacity of the power data.

[0052] The power data to be collected is obtained and labeled as k, where k=1, 2, ..., h. At the same time, the data capacity corresponding to the power data k is obtained and recorded as Lk. The data capacity of the power data obtained here is the total power data capacity. Then, the collection period is obtained and recorded as T. At the same time, the corresponding collection frequency P is obtained. The collection capacity corresponding to the collection period is calculated based on the obtained parameters and recorded as L1. The size of the data capacity Lk and the collection capacity L1 is determined.

[0053] If the collection capacity L1 is greater than the data capacity Lk, the power data is collected using the generated collection cycle information, and a collection method is generated;

[0054] If the acquisition capacity L1 is smaller than the data capacity Lk, the data capacity Lk needs to be re-analyzed and a secondary analysis signal generated at the same time.

[0055] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and the differences from Embodiment 1 are as follows:

[0056] In step 4, the generated secondary analysis signal is processed.

[0057] The generated secondary analysis signal is obtained, and the capacity difference between the data capacity Lk and the collection capacity L1 is calculated and recorded as Lc, and the capacity difference Lc is compared with the preset value Ly, and the value of the preset value here is set by the operator. If the capacity difference Lc is greater than the preset value Ly, then the periodic secondary collection information is generated. Specifically, it means that the power data to be collected is collected twice. For example, if the collection of power data is not completed within a collection cycle, it is necessary to collect it in the next cycle. For example, after a certain collection of power data is completed, the data capacity Lk is calculated to be 1200 data units, then the capacity difference Lc=1200-1000=200 data units. Since 200>100, the system determines that secondary collection is required, that is, the unfinished power data will continue to be collected in the next collection cycle to ensure the integrity and accuracy of the data. On the contrary, if the capacity difference Lc is less than the preset value Ly, a capacity analysis signal is generated and processed at the same time. If the calculated Lk is 1050 data units, then Lc=1050-1000=50 data units. Since 50<100, the system will generate a capacity analysis signal, and the data collection process may be optimized and analyzed later.

[0058] The generated capacity analysis signal is processed to obtain the data capacity Lk, then the acquisition frequency corresponding to the acquisition period t is obtained, and the single acquisition capacity corresponding to the acquisition frequency is obtained and recorded as Ld. At the same time, the required acquisition frequency is calculated according to the data capacity Lk and recorded as G. The calculation formula is: Then the acquisition frequency G is analyzed;

[0059] If the acquisition frequency G is an odd number, the data capacity Lk is divided into three equal parts, and the divided power data is collected at the same time to generate an acquisition method;

[0060] If the acquisition frequency G is an even number, the data capacity Lk is divided into four equal parts, and the divided power data is collected at the same time to generate an acquisition method.

[0061] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 and embodiment 2 for implementation.

[0062] Some of the data in the above formulas are numerically calculated by removing their dimensions. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0063] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A power data collection method based on a power system, characterized in that: The method specifically comprises the following steps: Step 1: Obtain the collection frequency and collection period of power data, and calculate the proportion of abnormal data corresponding to the collection frequency within the collection period; Step 2: Analyze the generated period adjustment signal, and adjust the collection period corresponding to the current time period according to historical data to generate collection period information; Step 3: Analyze the collection method of power data according to the generated collection cycle information, determine whether the collection method needs to be adjusted according to the basic information of the power data, and generate a judgment result; Step 4: Analyze the collection of power data based on the obtained data format information, and generate a method for collecting power data by analyzing the collection capacity of the power data.

2. The power data collection method based on the power system according to claim 1 is characterized in that: The calculation method of abnormal data ratio in step 1 is: The current time period is obtained and recorded as the target time period, and the collection period t corresponding to the target time period is obtained. At the same time, the collection frequency within the collection period t is obtained, and the number of collections is calculated based on the collection frequency and recorded as c. Then, the corresponding power data is obtained based on the collection frequency and recorded as i, and i=1, 2, ..., j, where j represents the number of power data; The collected power data is classified into correct data and error data, and the percentage of error data is calculated. Similarly, the percentage of error data corresponding to the number of collection times c is calculated. At the same time, the sum of all percentages within the time period t is calculated and recorded as the comparison value Z. At the same time, the comparison value Z is compared with the preset value.

3. The method for collecting power data based on a power system according to claim 2, characterized in that: The specific method of comparing the comparison values ​​in step 1 is: If the comparison value Z is greater than the preset value Zy, it means that the acquisition cycle needs to be adjusted and a cycle adjustment signal is generated. Otherwise, if the comparison value Z is less than the preset value Zy, it means that the acquisition cycle does not need to be adjusted and a normal cycle signal is generated.

4. The method for collecting power data based on a power system according to claim 1, characterized in that: The specific method of analyzing the periodic regulation signal in step 2 is: Obtain historical data, and filter the historical data based on the current time period to obtain pre-selected historical data, and label them as n, where n=1, 2, ..., m, and m represents the number of pre-selected historical data. Then calculate the collection cycle comparison value corresponding to the pre-selected historical data n, and sort them from small to large according to the collection cycle comparison value. At the same time, select the collection cycle corresponding to the smallest comparison value as the adjustment standard, and generate collection cycle information.

5. The method for collecting power data based on a power system according to claim 1, characterized in that: The specific method of analyzing the collection method of power data in step 3 is as follows: Obtain the transmission protocol for power data collection, and obtain the data format type in the transmission protocol, which is labeled as a, and a=1, 2, ..., b, where b represents the number of data format types, and then judge the data format a. If the data format of the power data needs to be converted during collection, the corresponding data format is marked as a conversion data format. Conversely, if the data format of the power data does not need to be converted during collection, the corresponding data format is marked as a normal data format. All conversion data formats are obtained and recorded as c, and c=1, 2, ..., d, where d represents the number of conversion data formats. At the same time, the transmission speed corresponding to the normal data format is obtained and recorded as V. The transmission speed V is sorted from large to small, and the conversion data format c and the conversion response time of the conversion data format are obtained. At the same time, the relationship between the conversion response time and the data capacity is analyzed, and the corresponding normal data format is selected based on the collected power data capacity to generate data format information.

6. The method for collecting power data based on a power system according to claim 1, characterized in that: The specific method of analyzing the collected power data based on the obtained data format information in step 4 is: The power data to be collected is obtained and labeled as k, where k=1, 2, ..., h. The data capacity corresponding to the power data k is obtained and recorded as Lk. Then, the collection period is obtained and recorded as T. The corresponding collection frequency P is obtained. The collection capacity corresponding to the collection period is calculated based on the obtained parameters and recorded as L1. The size of the data capacity Lk and the collection capacity L1 is determined. If the collection capacity L1 is greater than the data capacity Lk, the power data is collected using the generated collection cycle information, and a collection method is generated; If the acquisition capacity L1 is smaller than the data capacity Lk, the data capacity Lk needs to be re-analyzed, and a secondary analysis signal is generated and processed.

7. The method for collecting power data based on a power system according to claim 6, characterized in that: The specific method of processing the secondary analysis signal in step 4 is: The generated secondary analysis signal is obtained, and the capacity difference between the data capacity Lk and the collection capacity L1 is calculated and recorded as Lc, and the capacity difference Lc is compared with the preset value Ly. If the capacity difference Lc is greater than the preset value Ly, the periodic secondary collection information is generated. Otherwise, if the capacity difference Lc is less than the preset value Ly, a capacity analysis signal is generated and the capacity analysis signal is processed at the same time.

8. The method for collecting power data based on a power system according to claim 7, characterized in that: The specific method of processing the capacity analysis signal in step 4 is: Get the data capacity Lk, then get the acquisition frequency corresponding to the acquisition period t, and get the single acquisition capacity corresponding to the acquisition frequency, recorded as Ld, and calculate the required acquisition frequency times according to the data capacity Lk, recorded as G, and the calculation formula is: Then the acquisition frequency G is analyzed; If the acquisition frequency G is an odd number, the data capacity Lk is divided into three equal parts, and the divided power data is collected at the same time to generate an acquisition method; If the acquisition frequency G is an even number, the data capacity Lk is divided into four equal parts, and the divided power data is collected at the same time to generate an acquisition method.

Images