CN114580838A - A state assessment method of power transmission and transformation equipment based on big data - Google Patents

Abstract

The invention relates to the technical field of power transmission and transformation equipment state evaluation methods, and provides a power transmission and transformation equipment state evaluation method based on big data, which has the advantages of high independence, reliable use and good human-computer information interaction, and adopts the following steps: the method comprises the following steps: respectively establishing a regional database by each regional power transformation management system; step two: each regional power transformation manager establishes a related APP client and a client group which can share real-time information with each corresponding regional power transformation management system; step three: inputting basic information of equipment in a corresponding jurisdiction of each regional power transformation management system and an input regional database of periodic inspection data, and updating in real time; step four: an upper-level power transformation management system is established based on each regional power transformation management system, an upper-level database is established by the upper-level power transformation management system, and information interaction between the regional database and the APP client in each regional power transformation management system and the upper-level database in the upper-level power transformation management system is established.

Description

A state assessment method of power transmission and transformation equipment based on big data

technical field

The invention relates to the technical field of a state evaluation method for power transmission and transformation equipment, in particular to a state evaluation method for power transmission and transformation equipment based on big data.

Background technique

As we all know, the transmission of current usually leads to loss due to the heating of the line, so when the power is transmitted, the voltage is increased through the substation to make the current smaller to reduce the heat loss. High-voltage electricity is very dangerous, and the target electrical appliances It does not need such a high voltage, which requires reducing the voltage through power transformation. Since multiple power transformations are required in the process of current transmission, the current transmission is called power transmission and transformation, and the coverage of power transmission and transformation equipment is very large. The main equipment includes wires, transformers, switchgear and high-voltage insulators, etc. Because the power transmission and transformation equipment is huge as a whole, covers a wide range and has a complex structure, how to realize the online monitoring of the power transmission equipment, realize the fault prediction of the power transmission and transformation equipment, and ensure the power Safe transmission has become an important problem related to people's livelihood. Therefore, a big data-based state assessment method of power transmission and transformation equipment is proposed to solve this problem.

After retrieval, the Chinese invention patent with the publication number CN111784003A published on October 16, 2020 discloses a state evaluation method of power transmission and transformation equipment based on big data analysis. The steps used are: Step 1: Power transformation management in each area The system establishes the equipment basic information database respectively; Step 2: Each regional substation management system collects operation information respectively; Step 3: Each regional substation management system records the equipment maintenance inspection log database; Step 4: The equipment basic information database, operation information and The maintenance inspection log database data is uploaded to the central evaluation system; Step 5: All equipment data are classified according to the type of equipment, and then compared with the same type to screen out the abnormally operating equipment; Step 6: Compare the equipment operation data with the equipment manufacturer database, and filter out Abnormal operation equipment; Step 7: Combine the abnormal operation equipment data obtained in Step 5 and Step 6 into an abnormal equipment database; Step 8: According to the weight of each equipment abnormal data type, evaluate the equipment life cycle results, but the aforementioned evaluation Although the method guarantees the safety of the operation of the entire power transmission and transformation system to a certain extent, its comparative data is relatively scarce. It is relatively simple. At the same time, the substation management system in each area only stores data, and all evaluations are realized by the central evaluation system, which not only causes a huge workload of the central evaluation system, but also causes a delay or interruption in data transmission, which is very likely to cause accidents. expand.

SUMMARY OF THE INVENTION

(1) Technical problems solved

In view of the deficiencies of the prior art, the present invention provides a state evaluation method for power transmission and transformation equipment based on big data, which realizes the independent and simple operation of the power transformation management system in each area, Preliminary judgment on the existing data, on the one hand, can reduce the workload of the upper-level substation management system; The independent operation of the regional substation management system, at the same time, the superior substation management system will make the primary judgment formed by each regional substation management system combined with the comprehensive data of each regional substation management system to realize big data analysis, which can achieve the primary judgment. The effect of supervision, and the effect of human-computer interaction is better.

(2) Technical solutions

In order to achieve the above purpose, the present invention provides the following technical solutions: a method for evaluating the state of power transmission and transformation equipment based on big data, characterized in that the steps used are:

Step 1: Each regional substation management system establishes a regional database;

Step 2: Each regional substation management personnel establishes relevant APP clients and client groups that can share real-time information with each corresponding regional substation management system;

Step 3: Enter the basic information of the equipment within the jurisdiction of each regional substation management system and enter the regional database of regular inspection data, and update them in real time;

Step 4: Establish a superior substation management system based on each regional substation management system, establish a superior database in the superior substation management system, and establish the regional database and APP client in each regional substation management system. Information exchange between databases.

On the basis of the foregoing scheme, preferably, the regional substation management system and the relevant APP clients in the jurisdiction can realize two-way data interaction, and the substation management personnel in the jurisdiction of the regional substation management system enter the APP client. You can know the device operation status of the corresponding management segment.

On the basis of the aforementioned scheme, in the process of inputting the information of each regional substation management system, each regional substation management system records the basic parameters of the equipment in the corresponding area into the database of the regional substation management system, and at the same time the requirements of each device are Regular inspection, and record the equipment maintenance inspection log into the database of the regional substation management system, and update it regularly to realize the modular primary independent operation of each regional substation management system. The data is compared with the historical data, and then the operating status of the equipment is screened and classified, normal equipment and abnormal equipment are screened out, and the equipment status is updated to the APP client. Feedback the pre-judgment results to the APP client.

On the basis of the foregoing scheme, the upper-level substation management system can realize the backup and sharing of data in the lower-level regional substation management system, and the upper-level substation management system can perform real-time analysis on the data in each regional substation management system. Secondary analysis, the information compared in the process of secondary analysis is the basic parameters and historical information of related equipment and similar equipment in each regional substation management system, to realize information integration and big data analysis and comparison, and to analyze and compare regional substation management. The initial judgment made by the system is scored for reliability, and the score is sent to the APP client.

On the basis of the previous scheme, the substation management system in each region records the existing data, and distinguishes the historical data in stages, and scores the vulnerable and depleted areas or the bad areas, so as to realize the high-risk areas. At the same time, the superior substation management system, combined with big data, divides the power transmission and transformation equipment covered by the regional substation management system, and combines various big data to carry out regional comprehensive scoring for each regional substation management system. And transmit the corresponding data to the APP client for reference by the regional substation managers.

(3) Beneficial effects

Compared with the prior art, the present invention provides a state evaluation method for power transmission and transformation equipment based on big data, which has the following beneficial effects:

1. In the present invention, through the establishment of the regional database, it is convenient for each regional substation management system to store and process the data in the region, and realize the independent and simple operation of each regional substation management system. Under the conditions of the system, the substation management systems in each region can operate independently. When the conditions for establishing the superior substation management system are met, the substation management system in each region will make a preliminary judgment on the equipment in the region based on the existing data in each region. On the one hand, it can reduce the workload of the upper-level substation management system; .

2. In the present invention, through the establishment of the upper-level substation management system, the upper-level substation management system can combine the primary judgment formed by the regional substation management system with the comprehensive data of each regional substation management system to realize big data analysis, The effect of supervising primary judgment can be achieved.

3. In the present invention, through the establishment of APP clients and client groups, the information exchange between the substation management personnel in each region and the corresponding regional substation management system and the superior substation management system and the substation management personnel in each region is realized. The computer interaction effect is better.

Description of drawings

Fig. 1 is the three-dimensional schematic diagram of the information circulation of the present invention;

FIG. 2 is a schematic plan view of the information circulation of the present invention.

In the figure: 1. Regional database; 2. APP client; 3. Client group; 4. Superior database.

Detailed ways

Example

Please refer to Figure 1-2, a method for evaluating the status of power transmission and transformation equipment based on big data, characterized in that the steps used are:

Step 1: Each regional substation management system establishes regional database 1 respectively. Through the establishment of regional database 1, it is convenient for each regional substation management system to store and process the data in the region, and realize the independence and simplicity of each regional substation management system. Operation, when the conditions for establishing a superior substation management system are not met, each regional substation management system can operate independently. Preliminary judgment of the equipment in this area can reduce the workload of the superior substation management system on the one hand, and on the other hand, when the data delay or transmission interruption occurs between the regional substation management system and the superior substation It can realize the independent operation of the substation management system in each area.

Step 2: Each regional substation management personnel establishes relevant APP clients 2 and client groups 3 that can share real-time information with each corresponding regional substation management system. The regional substation management system and the relevant APP clients 2 within their jurisdiction can Realize the two-way interaction of data. The substation management personnel in the jurisdiction of the regional substation management system can enter the APP client 2 to understand the operation of the equipment in the corresponding management segment. Through the establishment of the APP client 2 and the client group 3, each The information exchange between the regional substation management personnel and the corresponding regional substation management system and the superior substation management system and the regional substation management personnel makes the human-computer interaction effect better.

Step 3: For the basic information entry of the equipment in the jurisdiction of each regional substation management system and the entry of regular inspection data into the regional database 1, and update it in real time. During the information entry process of each regional substation management system, the regional substation management The system records the basic parameters of the equipment in the corresponding area into the database of the regional substation management system. At the same time, the requirements of each equipment are regularly inspected, and the equipment maintenance inspection log is entered into the database of the regional substation management system, and updated regularly to realize the realization of each area. The modularized primary independent operation of the substation management system. During the operation, the regional substation management system compares the real-time updated data with the historical data, and then filters and categorizes the operating status of the equipment to screen out normal equipment and abnormal equipment. The device status is updated to the APP client 2, and at the same time, the normal equipment is combined with historical data to realize the pre-judgment of the operation risk, and the pre-judgment result is fed back to the APP client 2.

Step 4: Establish a superior substation management system based on each regional substation management system, establish a superior database 4 in the superior substation management system, and establish both regional database 1 and APP client 2 in each regional substation management system and the superior substation management system. The information exchange between the upper-level database 4 in the system, the upper-level substation management system can realize the backup and sharing of data in the lower-level regional substation management system, and the upper-level substation management system can real-time data in each regional substation management system. Carry out secondary analysis. The information compared in the process of secondary analysis is the basic parameters and historical information of related equipment and similar equipment in each regional substation management system, so as to realize information integration and big data analysis and comparison. The primary judgment made by the management system is scored for reliability, and the score is sent to the APP client 2. Through the establishment of the superior substation management system, the superior substation management system can make a preliminary judgment on the formation of the regional substation management system. Combined with the comprehensive data of the substation management system in each region, the realization of big data analysis can achieve the effect of supervising the primary judgment.

It needs to be further explained that the substation management system in each region records the existing data, distinguishes the historical data in stages, and scores the vulnerable and consumable areas or the bad areas, so as to realize the division of high-risk areas, and at the same time. The superior substation management system, combined with big data, divides the power transmission and transformation equipment covered by the regional substation management system into regions, and combines various big data to carry out regional comprehensive scores for each regional substation management system, and will correspond to The data is transmitted to the APP client 2 for reference by the substation managers in various regions.

To sum up, the specific method for evaluating the status of power transmission and transformation equipment based on big data is as follows: first, each regional substation management system establishes a regional database 1, and then each regional substation management personnel establishes a Relevant APP client 2 and client group 3 for real-time information sharing of the system, the regional substation management system and the relevant APP client 2 in the jurisdiction can realize two-way data interaction, and the substation management within the jurisdiction of the regional substation management system can be realized. Personnel enter the APP client 2 to understand the operation of the equipment in the corresponding management section, and then enter the basic information of the equipment in the corresponding area of the regional substation management system and the regular inspection data into the regional database 1, and update in real time During the information entry process of the regional substation management system, each regional substation management system records the basic parameters of the equipment in the corresponding area into the database of the regional substation management system. Enter the database of the regional substation management system and update it regularly to realize the modular primary independent operation of each regional substation management system. During the operation, the regional substation management system compares the real-time updated data with the historical data, and then the equipment The operating status of the equipment is screened and classified, normal equipment and abnormal equipment are screened out, and the equipment status is updated to the APP client 2. At the same time, the normal equipment is combined with historical data to realize the pre-judgment of the operation risk, and the pre-judgment results are fed back to the APP client. Terminal 2, when each regional substation management system reaches a certain scale, establish the superior substation management system based on each regional substation management system, the superior substation management system establishes the superior database 4, and establishes the regional database in each regional substation management system 1 and APP client 2 both exchange information with the superior database 4 in the superior substation management system. The superior substation management system can realize the backup and sharing of data in the subordinate regional substation management system, and the superior substation management The system conducts a real-time secondary analysis of the data in each regional substation management system. The information compared in the secondary analysis process is the basic parameters and historical information of related equipment and similar equipment in each regional substation management system. Big data analysis and comparison, after the analysis and comparison, the reliability of the initial judgment made by the regional substation management system is scored, and the score is sent to the APP client 2. The historical data is divided into stages, and the vulnerable and consumable areas or the bad areas are scored to realize the division of high-risk areas. At the same time, the upper-level substation management system, combined with big data, evaluates the transmission and transformation covered by the substation management system in each region. Electric equipment is divided into regions, combined with various big data to carry out regional comprehensive scoring of substation management systems in each region, and transmit the corresponding data to APP client 2 for the reference of substation managers in each region.

Claims (5)

1. A big data-based power transmission and transformation equipment state evaluation method is characterized by comprising the following steps:

the method comprises the following steps: respectively establishing a regional database (1) by each regional power transformation management system;

step two: each regional power transformation manager establishes a related APP client (2) and a client group (3) which can share real-time information with each corresponding regional power transformation management system;

step three: a region database (1) for inputting basic information and regularly polling data of equipment in a corresponding jurisdiction of each regional power transformation management system and updating in real time;

step four: an upper-level power transformation management system is established based on each regional power transformation management system, an upper-level database (4) is established by the upper-level power transformation management system, and information interaction between the regional database (1) and the APP client (2) in each regional power transformation management system and the upper-level database (4) in the upper-level power transformation management system is established.

2. The electric transmission and transformation equipment state evaluation method based on the big data according to claim 1, characterized in that the area electric transmission and transformation management system and the related APP client (2) in the jurisdiction can realize bidirectional interaction of data, and the electric transmission management personnel in the jurisdiction to which the area electric transmission and transformation management system belongs can know the equipment operation condition of the corresponding management section by entering the APP client (2).

3. The big-data-based power transmission and transformation equipment state evaluation method according to claim 2, characterized in that in the process of entering information of each regional power transformation management system, each regional power transformation management system enters the database of the regional power transformation management system for the equipment basic parameters in the corresponding region respectively, meanwhile, each equipment requires periodic inspection, and enters the equipment maintenance inspection log into the database of the regional power transformation management system, and the database is periodically updated to realize modular primary independent operation of each regional power transformation management system, in the process of operation, the regional power transformation management system compares the real-time updated data with the historical data to further screen and classify the operation states of the equipment, screen out normal equipment and abnormal equipment, update the equipment state to the APP client (2), and simultaneously, combine the historical data with the normal equipment to realize pre-judgment of operation risk, and feeding back the pre-judged result to the APP client (2).

4. The power transmission and transformation equipment state evaluation method based on the big data as claimed in claim 3, wherein a superior power transformation management system can backup and share data in a subordinate regional power transformation management system, the superior power transformation management system performs secondary analysis on the data in each regional power transformation management system in real time, compared information in the secondary analysis process is basic parameters and historical information of related equipment and similar equipment in each regional power transformation management system, information integration and big data analysis comparison are achieved, reliability APP scoring is performed on initial judgment made by the regional power transformation management system after analysis and comparison, and the reliability APP scoring is sent to a client (2).

5. The power transmission and transformation equipment state evaluation method based on the big data is characterized in that each regional power transformation management system records existing data, carries out stage discrimination on historical data, scores vulnerable and vulnerable regions or malignant regions to realize division of high-risk regions, meanwhile, an upper-level power transformation management system carries out regional division on power transmission and transformation equipment covered by each regional power transformation management system by combining the big data, carries out regional comprehensive scoring on each regional power transformation management system by combining the big data in multiple aspects, and transmits corresponding data to an APP client (2) for reference of each regional power transformation manager.

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