CN111639141B - Data testing method and device and computer terminal - Google Patents

Abstract

The invention discloses a data testing method, device and computer terminal. Firstly, after the operation data of the substation is collected, the data label sequence of the operation data of the substation is extracted and multiple groups of operation parameter segments are determined, and secondly, each group of operation parameter segments of the operation data of the substation is extracted. Compare with each reference parameter segment in the preset parameter set to obtain the comparison result, and then determine the data state trajectory of the substation operating data according to the parameter characteristics corresponding to the target operating parameter segment that meets the substation state stability condition according to the comparison result, and finally based on the substation operating data and The determined data state track of the substation operation data is tested on the equipment loss data of the substation to obtain the test results. In this way, the accuracy and reliability of the substation operation data test can be improved, so as to accurately and reliably detect whether the substation is faulty.

Description

Data testing method, device and computer terminal

technical field

The disclosure relates to the technical field of substation data processing, in particular to a data testing method, device and computer terminal.

Background technique

With the development of science and technology, there are more and more types and quantities of electrical equipment, and the load demand of electrical equipment faced by the grid is also getting higher and higher. In this case, the power grid may have operational failures during operation, which may cause production accidents. During the operation of the grid, the operating status of the substation is directly related to the safe and reliable operation of the grid. In order to monitor the operating status of the grid, it is necessary to test the operating data of the substation in real time to detect whether the substation is faulty. However, in practical applications, the accuracy and reliability of the method for data testing of substations is poor.

Contents of the invention

In order to improve the above-mentioned technical problems existing in related technologies, the present disclosure provides a data testing method, device and computer terminal.

A data testing method applied to a computer terminal communicating with a substation, said method comprising:

After collecting the substation operation data stored in real time in the substation, extracting the data label sequence of the substation operation data, and performing data segmentation processing on the substation operation data based on the data label sequence to obtain multiple sets of operation parameter segments; Wherein, the data label sequence is a sequence formed by equipment labels related to target electric equipment in the substation operation data;

Comparing each set of operating parameter segments of the substation operating data with each reference parameter segment in the preset parameter set; wherein, the preset parameter set stores multiple sets of reference parameter segments and parameters corresponding to each set of reference parameter segments Weight, the multiple sets of reference parameter segments are the state parameter sets of the power grid area where the target electrical equipment is located; wherein, if each set of operating parameter segments of the extracted substation operating data includes multiple parameter weights, then through the following Method of comparison: according to the priority configured for each parameter weight in advance, perform multi-level comparison; wherein, in each level of comparison, only one of the parameter weights in each group of operating parameter segments is compared, and will meet the preset conditions The running parameter segment of is input to the next-level comparison thread for comparison based on the next parameter weight;

According to the parameter characteristics corresponding to the target operating parameter segment corresponding to the substation operating data comparison result meeting the substation state stability condition, determining the data state trajectory of the substation operating data;

Test the equipment loss data of the substation based on the operation data of the substation and the determined data state track of the operation data of the substation to obtain a test result; wherein, the test result is used to indicate that the substation has failed within a set period of time The probability.

Optionally, extracting the data tag sequence of the substation operating data, and performing data segmentation processing on the substation operating data based on the data tag sequence to obtain multiple sets of operating parameter segments, including:

List the data tags in the substation operation data, determine the tag weight of each data tag, and sort the data tags according to the order of the tag weights from large to small to obtain the data tag sequence;

Acquiring the sequence trajectory of the data label sequence and multiple data sets of the substation operation data; when it is determined according to the sequence trajectory that the substation operation data contains redundant data packets, according to the substation operation The data sets of the data under the redundant data grouping and the authority information thereof determine the difference between each data set of the substation operation data under the valid data group and each data set of the substation operation data under the redundant data grouping The authority contrast between them; the data set with the least authority contrast between the substation operation data under the effective data group and the data set under the redundant data group is adjusted to the redundant data group;

In the case that the valid data group corresponding to the substation operation data contains multiple data sets, determine the operation of the substation according to the data set of the substation operation data under the redundant data group and its authority information The authority contrast ratio between the data sets under the effective data grouping, and splicing the data sets under the effective data grouping based on the authority contrast ratio between the data sets; according to the substation operation data The data set and its permission information under the redundant data group set the adjustment priority for the target data set obtained by the above splicing, and adjust the target data set to the redundant data corresponding to the adjustment priority at the set position of the group;

Segmenting the data set under the valid data group based on the node attribute of the target node corresponding to the sequence track in the data label sequence and having a segment identifier to obtain multiple sets of operating parameter segments.

Optionally, according to the parameter characteristics corresponding to the target operating parameter segment of the substation operating data that meets the substation state stability condition as a result of the comparison of the substation operating data, determining the data state track of the substation operating data includes:

Extracting the state evaluation coefficient of the comparison result, and determining the target operating parameter segment corresponding to the state evaluation coefficient when the state evaluation coefficient reaches the preset state coefficient of the substation;

Extracting the timing features of the target operating parameter segment according to the set time step;

Generate a time series form corresponding to the time series feature and a parameter form corresponding to the target operating parameter segment, the time series form and the parameter form respectively include a plurality of table objects with different form weights;

Extracting the object attribute information of one of the table objects of the time series feature in the time series form and determining the table object with the minimum form weight in the parameter form as the reference table object;

mapping the object attribute information into the reference table object to obtain the mapped attribute information in the reference table object, and then generating the timing feature and the target operation based on the object attribute information and the mapped attribute information A list of state transitions between parameter segments;

Using the mapping attribute information as an information template to obtain object track information in the reference table object, map the object track information to the table object where the object attribute information is located according to the logic information corresponding to the state switching list, and The mapping track information corresponding to the object track information is obtained in the table object where the object attribute information is located;

List the track nodes and connection information in the mapped track information, and generate the data status track of the substation operation data according to the track nodes and the connection information.

Optionally, the equipment loss data of the substation is tested based on the substation operation data and the determined data state track of the substation operation data to obtain test results, including:

determining a loss coefficient corresponding to the equipment loss data determined based on the substation operation data and the data state trajectory, and using the loss coefficient to weight the equipment loss data to obtain target loss data;

For the current loss data in the target loss data, based on the first update frequency of the current loss data within the preset time interval and the second update frequency of each of the target loss data within the preset time interval, determine the current The updated weight value of the loss data within the preset time interval;

Determine the update risk coefficient of the current loss data between two adjacent set time periods according to the update weight value of the current loss data in two adjacent preset time periods, and normalize the update risk coefficient Process to obtain the test result.

A data testing device, applied to a computer terminal communicating with a substation, said device comprising:

The data segmentation module is used to extract the data label sequence of the substation operation data after collecting the substation operation data stored in real time in the substation, and perform data segmentation processing on the substation operation data based on the data label sequence Obtain multiple sets of operating parameter segments; wherein, the data label sequence is a sequence formed by equipment labels related to target electrical equipment in the substation operation data;

A parameter comparison module, configured to compare each group of operating parameter segments of the substation operating data with each reference parameter segment in the preset parameter set; wherein, multiple sets of reference parameter segments and each set of reference parameter segments are stored in the preset parameter set The parameter weight corresponding to the reference parameter section, the multiple sets of reference parameter sections are the state parameter sets of the power grid area where the target electric equipment is located; wherein, if each group of operation parameter sections of the extracted substation operation data includes multiple The parameter weight is compared in the following way: according to the priority configured for each parameter weight in advance, multi-level comparison is performed; wherein, in each level of comparison, only one of the parameter weights in each group of operating parameter segments is compared. And input the operating parameter segments that meet the preset conditions into the next-level comparison thread for comparison based on the next parameter weight;

A trajectory determination module, configured to determine the data state trajectory of the substation operation data according to the parameter characteristics corresponding to the target operation parameter segment that meets the substation state stability condition according to the comparison result of the substation operation data;

The data testing module is used to test the equipment loss data of the substation based on the operation data of the substation and the determined data state track of the operation data of the substation to obtain test results; The probability of failure within a set period of time.

Optionally, the data segmentation module is used for:

List the data tags in the substation operation data, determine the tag weight of each data tag, and sort the data tags according to the order of the tag weights from large to small to obtain the data tag sequence;

Acquiring the sequence trajectory of the data label sequence and multiple data sets of the substation operation data; when it is determined according to the sequence trajectory that the substation operation data contains redundant data packets, according to the substation operation The data sets of the data under the redundant data grouping and the authority information thereof determine the difference between each data set of the substation operation data under the valid data group and each data set of the substation operation data under the redundant data grouping The authority contrast between them; the data set with the least authority contrast between the substation operation data under the effective data group and the data set under the redundant data group is adjusted to the redundant data group;

In the case that the valid data group corresponding to the substation operation data contains multiple data sets, determine the operation of the substation according to the data set of the substation operation data under the redundant data group and its authority information The authority contrast ratio between the data sets under the effective data grouping, and splicing the data sets under the effective data grouping based on the authority contrast ratio between the data sets; according to the substation operation data The data set and its permission information under the redundant data group set the adjustment priority for the target data set obtained by the above splicing, and adjust the target data set to the redundant data corresponding to the adjustment priority at the set position of the group;

Segmenting the data set under the valid data group based on the node attribute of the target node corresponding to the sequence track in the data label sequence and having a segment identifier to obtain multiple sets of operating parameter segments.

Optionally, the trajectory determination module is configured to:

Extracting the state evaluation coefficient of the comparison result, and determining the target operating parameter segment corresponding to the state evaluation coefficient when the state evaluation coefficient reaches the preset state coefficient of the substation;

Extracting the timing features of the target operating parameter segment according to the set time step;

Generate a time series form corresponding to the time series feature and a parameter form corresponding to the target operating parameter segment, the time series form and the parameter form respectively include a plurality of table objects with different form weights;

Extracting the object attribute information of one of the table objects of the time series feature in the time series form and determining the table object with the minimum form weight in the parameter form as the reference table object;

mapping the object attribute information into the reference table object to obtain the mapped attribute information in the reference table object, and then generating the timing feature and the target operation based on the object attribute information and the mapped attribute information A list of state transitions between parameter segments;

Using the mapping attribute information as an information template to obtain object track information in the reference table object, map the object track information to the table object where the object attribute information is located according to the logic information corresponding to the state switching list, and The mapping track information corresponding to the object track information is obtained in the table object where the object attribute information is located;

List the track nodes and connection information in the mapped track information, and generate the data status track of the substation operation data according to the track nodes and the connection information.

Optionally, the data testing module is used for:

determining a loss coefficient corresponding to the equipment loss data determined based on the substation operation data and the data state trajectory, and using the loss coefficient to weight the equipment loss data to obtain target loss data;

For the current loss data in the target loss data, based on the first update frequency of the current loss data within the preset time interval and the second update frequency of each of the target loss data within the preset time interval, determine the current The updated weight value of the loss data within the preset time interval;

Determine the update risk coefficient of the current loss data between two adjacent set time periods according to the update weight value of the current loss data in two adjacent preset time periods, and normalize the update risk coefficient Process to obtain the test result.

A computer terminal includes a processor and a memory communicating with each other, the processor is used to call a computer program from the memory, and implement the above method by executing the computer program.

A computer-readable storage medium, on which a computer program is stored, and the computer program realizes the above-mentioned method when running.

In the technical solution provided by the embodiments of the present disclosure, firstly, after the substation operation data is collected, the data label sequence of the substation operation data is extracted and multiple sets of operation parameter segments are determined, and secondly, each group of operation parameter segments of the substation operation data is combined with preset parameters The comparison results are obtained by comparing each reference parameter segment in the substation, and then the data state trajectory of the substation operation data is determined according to the parameter characteristics corresponding to the target operation parameter segment that meets the substation state stability condition. Finally, based on the substation operation data and the determined substation operation The data state track of the data is used to test the equipment loss data of the substation to obtain the test results. In this way, the accuracy and reliability of the substation operation data test can be improved, so as to accurately and reliably detect whether the substation is faulty.

It is to be understood that both the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description serve to explain the principles of the invention.

FIG. 1 is a schematic diagram of a data testing system according to the present disclosure.

Fig. 2 is a flowchart of a data testing method according to an exemplary embodiment.

Fig. 3 is a block diagram of a data testing device according to an exemplary embodiment.

Detailed ways

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

In order to improve the technical problem of poor accuracy and reliability of the method for data testing of substations existing in the prior art, the embodiments of the present invention provide a data testing method, device and computer terminal.

Please first refer to FIG. 1, which is a structural block diagram of a data testing system 100 provided by an embodiment of the present invention. The data testing system 100 may include a computer terminal 200 and a substation 300. The computer terminal communicates with the substation 300. The substation The substation 300 is connected to the grid power line in the target area, and the substation 300 is used to interact with the electric equipment in the target area through the grid power line.

Please refer to FIG. 2 , which is a flow chart of the data testing method provided by the embodiment of the present invention. The data testing method can be applied to the computer terminal 200 in FIG. 1 , and can specifically include the device label described in the following steps.

Step 210, after collecting the substation operation data stored in real time in the substation, extract the data label sequence of the substation operation data, and perform data segmentation processing on the substation operation data based on the data label sequence to obtain multiple groups of operation A parameter segment; wherein, the data label sequence is a sequence formed by equipment labels related to target electrical equipment in the substation operation data.

Step 220, comparing each group of operating parameter segments of the substation operating data with each reference parameter segment in the preset parameter set; wherein, the preset parameter set stores multiple sets of reference parameter segments and each group of reference parameter segments The corresponding parameter weights, the multiple sets of reference parameter segments are the state parameter sets of the power grid area where the target electric equipment is located; wherein, if each set of operating parameter segments of the extracted substation operating data includes multiple parameter weights, The comparison is performed in the following way: according to the priority configured for each parameter weight in advance, multi-level comparison is performed; wherein, in each level of comparison, only one of the parameter weights in each group of operating parameter segments is compared, and the corresponding The operating parameter segment of the preset condition is input into the next level comparison thread for comparison based on the next parameter weight.

Step 230: Determine the data state trajectory of the substation operation data according to the parameter characteristics corresponding to the target operation parameter segment whose comparison result of the substation operation data meets the substation state stability condition.

Step 240: Test the equipment loss data of the substation based on the operation data of the substation and the determined data state track of the operation data of the substation to obtain test results; probability of failure within.

When applying the method described in the above step S210-step S240, firstly after collecting the substation operation data, extract the data label sequence of the substation operation data and determine multiple groups of operation parameter segments, and then combine each group of operation parameter segments of the substation operation data with The reference parameter segments in the preset parameter set are compared to obtain the comparison result, and then the data state trajectory of the substation operation data is determined according to the parameter characteristics corresponding to the target operation parameter segment that meets the substation state stability condition according to the comparison result, and finally based on the substation operation data and determination Test the equipment loss data of the substation to obtain the test results. In this way, the accuracy and reliability of the substation operation data test can be improved, so as to accurately and reliably detect whether the substation is faulty.

In an alternative implementation, in order to accurately segment the substation operation data, in step S210, extract the data label sequence of the substation operation data, and perform the operation of the substation based on the data label sequence The data is segmented to obtain multiple sets of operating parameter segments, which may specifically include the content described in the following steps.

Step S211, list the data tags in the operation data of the substation, determine the tag weight of each data tag, and sort the data tags in descending order of the tag weight to obtain the data tag sequence.

Step S212, acquiring the sequence trajectory of the data label sequence and multiple data sets of the substation operation data; if it is determined according to the sequence trajectory that the substation operation data contains redundant data packets, according to the The data sets of the operation data of the substation under the redundant data grouping and the authority information thereof determine the data sets of the operation data of the substation under the effective data grouping and the data sets of the operation data of the substation under the redundant data grouping Authority contrast between data sets; adjust the data set with the smallest authority contrast between the substation operation data under the effective data group and the data set under the redundant data group to the redundant data group .

Step S213, in the case that the effective data group corresponding to the substation operation data contains multiple data sets, determine the data set and its authority information of the substation operation data under the redundant data group. The authority contrast between the substation operation data under the effective data grouping between the data sets, and based on the authority contrast between the various data sets, the data sets under the effective data grouping are spliced; according to the The data set and its permission information of the substation operation data under the redundant data group set the adjustment priority for the target data set obtained by the above splicing, and adjust the target data set to the corresponding adjustment priority. The set position of the redundant data packet.

Step S214, segmenting the data set under the valid data group based on the node attribute of the target node corresponding to the sequence track in the data label sequence and having a segment identifier to obtain multiple sets of operating parameter segments.

It can be understood that through the above steps S211-Step S214, the effective data grouping of the substation operation data and the data set under the redundant data grouping can be adjusted and updated, so that the segment identification corresponding to the sequence track in the data tag sequence can be The node attribute of the target node performs segmentation processing on the data set under the effective data grouping to obtain multiple sets of operating parameter segments, so as to accurately segment the substation operating data.

In an alternative embodiment, in order to ensure the continuity of the data state track and avoid faults in the data state track, in step S230, according to the comparison result with the operation data of the substation, the target operating parameter segment that meets the state stability condition of the substation Corresponding to the parameter characteristics, determining the data status track of the substation operation data may specifically include the content described in the following steps.

Step S231, extracting the state evaluation coefficient of the comparison result, and determining the target operating parameter segment corresponding to the state evaluation coefficient when the state evaluation coefficient reaches the preset state coefficient of the substation.

Step S232, extracting the time series features of the target operating parameter segment according to the set time step.

Step S233, generating a time series form corresponding to the time series feature and a parameter form corresponding to the target operating parameter segment, the time series form and the parameter form respectively include a plurality of table objects with different form weights.

Step S234, extracting the object attribute information of one table object of the time series feature in the time series form and determining the table object with the smallest form weight in the parameter form as the reference table object.

Step S235: Map the object attribute information to the reference table object to obtain the mapped attribute information in the reference table object, and then generate the time series feature and the A list of state transitions between the target operating parameter segments.

Step S236, using the mapping attribute information as an information template to obtain object track information in the reference table object, and map the object track information to the table object where the object attribute information is located according to the logic information corresponding to the state switching list and obtain the mapping track information corresponding to the object track information in the table object where the object attribute information is located.

Step S237, list the track nodes and connection information in the mapped track information, and generate the data status track of the substation operation data according to the track nodes and the connection information.

It can be understood that, through the content described in the above steps S231 to S237, the continuity of the data status track can be ensured, and faults in the data status track can be avoided.

During specific implementation, in order to ensure the accuracy and reliability of the test results, in step S240, the equipment loss data of the substation is tested based on the operation data of the substation and the determined data state track of the operation data of the substation to obtain a test As a result, it can specifically include the content described in the following steps.

Step S241, determining a loss coefficient corresponding to the equipment loss data determined based on the substation operation data and the data state track, and using the loss coefficient to weight the equipment loss data to obtain target loss data.

Step S242, for the current loss data in the target loss data, based on the first update frequency of the current loss data within the preset time interval and the second update frequency of each of the target loss data within the preset time interval , to determine the update weight value of the current loss data within the preset time interval.

Step S243: Determine the update risk coefficient of the current loss data between two adjacent preset time periods according to the update weight value of the current loss data in two adjacent preset time periods, and perform the update risk coefficient Normalize processing to obtain the test results.

The accuracy and reliability of the test results can be ensured through the content described in the above step S241-step S243.

Please refer to FIG. 3, a data testing device 210 is provided, which is applied to a computer terminal communicating with a substation, and the device 210 includes:

The data segmentation module 211 is configured to extract the data label sequence of the substation operation data after collecting the substation operation data stored in real time in the substation, and perform data segmentation on the substation operation data based on the data label sequence processing to obtain multiple sets of operating parameter segments; wherein, the data label sequence is a sequence formed by equipment labels related to target electrical equipment in the substation operation data;

The parameter comparison module 212 is used to compare each group of operating parameter segments of the substation operating data with each reference parameter segment in the preset parameter set; wherein, the preset parameter set stores multiple sets of reference parameter segments and each The parameter weights corresponding to the groups of reference parameter segments, the multiple groups of reference parameter segments are the state parameter sets of the power grid area where the target electric equipment is located; wherein, if each group of operating parameter segments of the extracted substation operating data includes multiple The parameter weights are compared in the following way: according to the priority configured for each parameter weight in advance, a multi-level comparison is performed; wherein, in each level of comparison, only one of the parameter weights in each group of operating parameter segments is used for comparison. , and input the operating parameter segments that meet the preset conditions into the next-level comparison thread for comparison based on the next parameter weight;

The trajectory determination module 213 is used to determine the data state trajectory of the substation operation data according to the parameter characteristics corresponding to the target operation parameter segment corresponding to the substation state stability condition according to the comparison result of the substation operation data;

The data testing module 214 is used to test the equipment loss data of the substation based on the operation data of the substation and the determined data state track of the operation data of the substation to obtain a test result; wherein the test result is used to characterize the substation Probability of failure within a set period of time.

Optionally, the data segmentation module 211 is configured to:

List the data tags in the substation operation data, determine the tag weight of each data tag, and sort the data tags according to the order of the tag weights from large to small to obtain the data tag sequence;

Acquiring the sequence trajectory of the data label sequence and multiple data sets of the substation operation data; when it is determined according to the sequence trajectory that the substation operation data contains redundant data packets, according to the substation operation The data sets of the data under the redundant data grouping and the authority information thereof determine the difference between each data set of the substation operation data under the valid data group and each data set of the substation operation data under the redundant data grouping The authority contrast between them; the data set with the least authority contrast between the substation operation data under the effective data group and the data set under the redundant data group is adjusted to the redundant data group;

In the case that the valid data group corresponding to the substation operation data contains multiple data sets, determine the operation of the substation according to the data set of the substation operation data under the redundant data group and its authority information The authority contrast ratio between the data sets under the effective data grouping, and splicing the data sets under the effective data grouping based on the authority contrast ratio between the data sets; according to the substation operation data The data set and its permission information under the redundant data group set the adjustment priority for the target data set obtained by the above splicing, and adjust the target data set to the redundant data corresponding to the adjustment priority at the set position of the group;

Segmenting the data set under the valid data group based on the node attribute of the target node corresponding to the sequence track in the data label sequence and having a segment identifier to obtain multiple sets of operating parameter segments.

Optionally, the trajectory determination module 213 is configured to:

Extracting the state evaluation coefficient of the comparison result, and determining the target operating parameter segment corresponding to the state evaluation coefficient when the state evaluation coefficient reaches the preset state coefficient of the substation;

Extracting the timing features of the target operating parameter segment according to the set time step;

Generate a time series form corresponding to the time series feature and a parameter form corresponding to the target operating parameter segment, the time series form and the parameter form respectively include a plurality of table objects with different form weights;

Extracting the object attribute information of one of the table objects of the time series feature in the time series form and determining the table object with the minimum form weight in the parameter form as the reference table object;

mapping the object attribute information into the reference table object to obtain the mapped attribute information in the reference table object, and then generating the timing feature and the target operation based on the object attribute information and the mapped attribute information A list of state transitions between parameter segments;

Using the mapping attribute information as an information template to obtain object track information in the reference table object, map the object track information to the table object where the object attribute information is located according to the logic information corresponding to the state switching list, and The mapping track information corresponding to the object track information is obtained in the table object where the object attribute information is located;

List the track nodes and connection information in the mapped track information, and generate the data status track of the substation operation data according to the track nodes and the connection information.

Optionally, the data testing module 214 is configured to:

determining a loss coefficient corresponding to the equipment loss data determined based on the substation operation data and the data state trajectory, and using the loss coefficient to weight the equipment loss data to obtain target loss data;

For the current loss data in the target loss data, based on the first update frequency of the current loss data within the preset time interval and the second update frequency of each of the target loss data within the preset time interval, determine the current The updated weight value of the loss data within the preset time interval;

Determine the update risk coefficient of the current loss data between two adjacent set time periods according to the update weight value of the current loss data in two adjacent preset time periods, and normalize the update risk coefficient Process to obtain the test result.

On the basis of the above, a computer terminal is also provided, including a processor and a memory that communicate with each other, the processor is used to call a computer program from the memory, and implement the above method by executing the computer program .

Further, a computer-readable storage medium is also provided, on which a computer program is stored, and the computer program realizes the above-mentioned method when running.

It should be understood that the present invention is not limited to the precise constructions which have been described above and shown in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims (6)

1. A data testing method is characterized in that, being applied to a computer terminal communicating with a substation, the method comprises: After collecting the substation operation data stored in real time in the substation, extracting the data label sequence of the substation operation data, and performing data segmentation processing on the substation operation data based on the data label sequence to obtain multiple sets of operation parameter segments; Wherein, the data label sequence is a sequence formed by equipment labels related to target electric equipment in the substation operation data; Comparing each set of operating parameter segments of the substation operating data with each reference parameter segment in the preset parameter set; wherein, the preset parameter set stores multiple sets of reference parameter segments and parameters corresponding to each set of reference parameter segments Weight, the multiple sets of reference parameter segments are the state parameter sets of the power grid area where the target electrical equipment is located; wherein, if each set of operating parameter segments of the extracted substation operating data includes multiple parameter weights, then through the following Method of comparison: according to the priority configured for each parameter weight in advance, perform multi-level comparison; wherein, in each level of comparison, only one of the parameter weights in each group of operating parameter segments is compared, and will meet the preset conditions The running parameter segment of is input to the next-level comparison thread for comparison based on the next parameter weight; According to the parameter characteristics corresponding to the target operating parameter segment corresponding to the substation operating data comparison result meeting the substation state stability condition, determining the data state trajectory of the substation operating data; Test the equipment loss data of the substation based on the operation data of the substation and the determined data state track of the operation data of the substation to obtain a test result; wherein, the test result is used to indicate that the substation has failed within a set period of time The probability; Wherein, according to the parameter characteristics corresponding to the target operating parameter segment corresponding to the substation operating data comparison result conforming to the substation state stability condition, determining the data state trajectory of the substation operating data, including: Extracting the state evaluation coefficient of the comparison result, and determining the target operating parameter segment corresponding to the state evaluation coefficient when the state evaluation coefficient reaches the preset state coefficient of the substation; Extracting the timing features of the target operating parameter segment according to the set time step; Generate a time series form corresponding to the time series feature and a parameter form corresponding to the target operating parameter segment, the time series form and the parameter form respectively include a plurality of table objects with different form weights; Extracting the object attribute information of one of the table objects of the time series feature in the time series form and determining the table object with the minimum form weight in the parameter form as the reference table object; mapping the object attribute information into the reference table object to obtain the mapped attribute information in the reference table object, and then generating the timing feature and the target operation based on the object attribute information and the mapped attribute information A list of state transitions between parameter segments; Using the mapping attribute information as an information template to obtain object track information in the reference table object, map the object track information to the table object where the object attribute information is located according to the logic information corresponding to the state switching list, and The mapping track information corresponding to the object track information is obtained in the table object where the object attribute information is located; List the track nodes and connection information in the mapped track information and generate the data status track of the substation operation data according to the track nodes and the connection information; Wherein, based on the substation operation data and the determined data state trajectory of the substation operation data, the equipment loss data of the substation is tested to obtain test results, including: determining a loss coefficient corresponding to the equipment loss data determined based on the substation operation data and the data state trajectory, and using the loss coefficient to weight the equipment loss data to obtain target loss data; For the current loss data in the target loss data, based on the first update frequency of the current loss data within the preset time interval and the second update frequency of each of the target loss data within the preset time interval, determine the current The updated weight value of the loss data within the preset time interval; Determine the update risk coefficient of the current loss data between two adjacent set time periods according to the update weight value of the current loss data in two adjacent preset time periods, and normalize the update risk coefficient Process to obtain the test result. 2. The method according to claim 1, characterized in that extracting the data tag sequence of the substation operating data, and performing data segment processing on the substation operating data based on the data tag sequence to obtain multiple groups of operating parameter segments ,include: List the data tags in the substation operation data, determine the tag weight of each data tag, and sort the data tags according to the order of the tag weights from large to small to obtain the data tag sequence; Acquiring the sequence trajectory of the data label sequence and multiple data sets of the substation operation data; when it is determined according to the sequence trajectory that the substation operation data contains redundant data packets, according to the substation operation The data sets of the data under the redundant data grouping and the authority information thereof determine the difference between each data set of the substation operation data under the valid data group and each data set of the substation operation data under the redundant data grouping The authority contrast between them; the data set with the least authority contrast between the substation operation data under the effective data group and the data set under the redundant data group is adjusted to the redundant data group; In the case that the valid data group corresponding to the substation operation data contains multiple data sets, determine the operation of the substation according to the data set of the substation operation data under the redundant data group and its authority information The authority contrast ratio between the data sets under the effective data grouping, and splicing the data sets under the effective data grouping based on the authority contrast ratio between the data sets; according to the substation operation data The data set and its permission information under the redundant data group set the adjustment priority for the target data set obtained by splicing, and adjust the target data set to the redundant data group corresponding to the adjustment priority at the set position; Segmenting the data set under the valid data group based on the node attribute of the target node corresponding to the sequence track in the data label sequence and having a segment identifier to obtain multiple sets of operating parameter segments. 3. A data testing device, characterized in that it is applied to a computer terminal communicating with a substation, said device comprising: The data segmentation module is used to extract the data label sequence of the substation operation data after collecting the substation operation data stored in real time in the substation, and perform data segmentation processing on the substation operation data based on the data label sequence Obtain multiple sets of operating parameter segments; wherein, the data label sequence is a sequence formed by equipment labels related to target electrical equipment in the substation operation data; A parameter comparison module, configured to compare each group of operating parameter segments of the substation operating data with each reference parameter segment in the preset parameter set; wherein, multiple sets of reference parameter segments and each set of reference parameter segments are stored in the preset parameter set The parameter weight corresponding to the reference parameter section, the multiple sets of reference parameter sections are the state parameter sets of the power grid area where the target electric equipment is located; wherein, if each group of operation parameter sections of the extracted substation operation data includes multiple The parameter weight is compared in the following way: according to the priority configured for each parameter weight in advance, multi-level comparison is performed; wherein, in each level of comparison, only one of the parameter weights in each group of operating parameter segments is compared. And input the operating parameter segments that meet the preset conditions into the next-level comparison thread for comparison based on the next parameter weight; A trajectory determination module, configured to determine the data state trajectory of the substation operation data according to the parameter characteristics corresponding to the target operation parameter segment that meets the substation state stability condition according to the comparison result of the substation operation data; The data testing module is used to test the equipment loss data of the substation based on the operation data of the substation and the determined data state track of the operation data of the substation to obtain test results; The probability of failure within a set period of time; Wherein, the trajectory determination module is used for: Extracting the state evaluation coefficient of the comparison result, and determining the target operating parameter segment corresponding to the state evaluation coefficient when the state evaluation coefficient reaches the preset state coefficient of the substation; Extracting the timing features of the target operating parameter segment according to the set time step; Generate a time series form corresponding to the time series feature and a parameter form corresponding to the target operating parameter segment, the time series form and the parameter form respectively include a plurality of table objects with different form weights; Extracting the object attribute information of one of the table objects of the time series feature in the time series form and determining the table object with the minimum form weight in the parameter form as the reference table object; mapping the object attribute information into the reference table object to obtain the mapped attribute information in the reference table object, and then generating the timing feature and the target operation based on the object attribute information and the mapped attribute information A list of state transitions between parameter segments; Using the mapping attribute information as an information template to obtain object track information in the reference table object, map the object track information to the table object where the object attribute information is located according to the logic information corresponding to the state switching list, and The mapping track information corresponding to the object track information is obtained in the table object where the object attribute information is located; List the track nodes and connection information in the mapped track information and generate the data status track of the substation operation data according to the track nodes and the connection information; Wherein, the data testing module is used for: determining a loss coefficient corresponding to the equipment loss data determined based on the substation operation data and the data state trajectory, and using the loss coefficient to weight the equipment loss data to obtain target loss data; For the current loss data in the target loss data, based on the first update frequency of the current loss data within the preset time interval and the second update frequency of each of the target loss data within the preset time interval, determine the current The updated weight value of the loss data within the preset time interval; Determine the update risk coefficient of the current loss data between two adjacent set time periods according to the update weight value of the current loss data in two adjacent preset time periods, and normalize the update risk coefficient Process to obtain the test result. 4. The device according to claim 3, wherein the data segmentation module is configured to: List the data tags in the substation operation data, determine the tag weight of each data tag, and sort the data tags according to the order of the tag weights from large to small to obtain the data tag sequence; Acquiring the sequence trajectory of the data label sequence and multiple data sets of the substation operation data; when it is determined according to the sequence trajectory that the substation operation data contains redundant data packets, according to the substation operation The data sets of the data under the redundant data grouping and the authority information thereof determine the difference between each data set of the substation operation data under the valid data group and each data set of the substation operation data under the redundant data grouping The authority contrast between them; the data set with the least authority contrast between the substation operation data under the effective data group and the data set under the redundant data group is adjusted to the redundant data group; In the case that the valid data group corresponding to the substation operation data contains multiple data sets, determine the operation of the substation according to the data set of the substation operation data under the redundant data group and its authority information The authority contrast ratio between the data sets under the effective data grouping, and splicing the data sets under the effective data grouping based on the authority contrast ratio between the data sets; according to the substation operation data The data set and its permission information under the redundant data group set the adjustment priority for the target data set obtained by splicing, and adjust the target data set to the redundant data group corresponding to the adjustment priority at the set position; Segmenting the data set under the valid data group based on the node attribute of the target node corresponding to the sequence track in the data label sequence and having a segment identifier to obtain multiple sets of operating parameter segments. 5. A computer terminal, characterized in that it includes a processor and a memory that communicate with each other, the processor is used to call a computer program from the memory, and by executing the computer program to realize the above claims 1- 2. The method described in any one. 6. A computer-readable storage medium, wherein a computer program is stored thereon, and the computer program implements the method according to any one of claims 1-2 when running.