An information service management system and method for power communication

Abstract

The application discloses an information-based service management system and method for electric power communication, and relates to the technical field of electric power communication, solves the technical problem that it is difficult to meet the requirements of rapid retrieval and accurate storage, results in low data processing efficiency, and storage resources cannot be reasonably configured, the application classifies information-based service data according to data sources, purposes, formats and other characteristics in a comprehensive and detailed manner, adopts a B-tree index mode with good balance and high search performance to establish indexes for classified data information, improves data retrieval efficiency, comprehensively considers the reading speed, reaction delay and reading error rate of storage nodes, calculates the performance value of the storage nodes through a specific formula, compares the performance value with a preset standard to divide high-performance and low-performance nodes, and based on this, can reasonably allocate data storage tasks according to the performance of the nodes, improve the utilization rate of storage resources, avoid waste of storage resources, and improve the performance of the overall storage system.

Description

Technical Field

[0001] This invention relates to the field of power communication technology, specifically to an information-based business management system and method for power communication. Background Technology

[0002] In the field of power communications, with the continuous improvement of informatization, a massive amount of information business data has been generated, covering multiple aspects such as the operating status of power equipment, communication network traffic, and user electricity consumption information.

[0003] According to patent application CN106156958A, an information-based business management system for power communication is disclosed, comprising: a business server for providing data storage and relay; an engineering department terminal, linked to the business server, for sending project data to the operation and maintenance department terminal after project completion; an operation and maintenance department terminal, connected to the business server, for receiving project data and, upon confirmation by engineering department staff, sending the project data to the accounting and economic department terminal; and an accounting and economic department terminal, connected to the business server, for receiving project data and, upon confirmation by accounting and economic department staff, completing the transfer of project data.

[0004] However, how to efficiently manage, store, and utilize this data has become an urgent problem to be solved. Traditional data management methods are unable to meet the needs of rapid retrieval and accurate storage when faced with complex and diverse data types and large-scale data volumes, resulting in low data processing efficiency and inefficient allocation of storage resources. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an information-based business management system and method for power communication, which solves the problems of low data processing efficiency and inefficient allocation of storage resources due to the difficulty in meeting the needs for rapid retrieval and accurate storage.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an information-based business management system for power communication, comprising: The classification management and analysis module classifies the information business data transmitted by the information business data acquisition module to obtain classified data information, assigns a unique number, establishes an information index, calculates the usage frequency of the classified data information, and classifies it into high-frequency and low-frequency usage information, and then transmits it to the storage node analysis module. The storage node analysis module calculates the corresponding performance value by comprehensively considering the read speed, response latency, and read error rate of the storage nodes. Based on the performance value, it classifies the nodes into high-performance and low-performance nodes. The high-performance nodes are then analyzed in conjunction with the high-frequency usage information storage. The nodes are sorted from largest to smallest according to their available storage capacity and data capacity, generating node sorting information and capacity sorting information, which are then transmitted to the storage management analysis module. The storage management and analysis module obtains the generated sorting information, as well as the associated data of high-frequency usage information and the associated nodes of high-performance nodes. Based on the available storage capacity and usage frequency of the associated nodes, it selects standard storage nodes for storage, generates storage management information, and transmits it to the management information output module.

[0007] As a further embodiment of the present invention, it also includes an information business data acquisition module and a management information output module; The information business data acquisition module is used to acquire information business data and transmit it to the classification management and analysis module; The management information output module is used to store information-based business data based on the storage management information.

[0008] As a further aspect of the present invention, the specific method by which the classification management and analysis module establishes the information index is as follows: The process involves acquiring information business data, classifying it according to data type to obtain categorized data information, establishing a corresponding information index for the obtained categorized data information using a B-tree index, and then labeling the obtained categorized data information as a, where a = 1, 2, ..., b, and b represents the type of categorized data information.

[0009] As a further aspect of the present invention, the specific method by which the classification management and analysis module obtains high-frequency and low-frequency usage information is as follows: Using time T as the period, the number of times the category data information a is used is obtained and the corresponding usage frequency is calculated. At the same time, it is compared with the frequency preset value. Category data information with a usage frequency greater than the frequency preset value is marked as high-frequency usage information, and vice versa is marked as low-frequency usage information.

[0010] As a further aspect of the present invention, the specific method by which the storage node analysis module classifies high-performance and low-performance nodes based on performance values ​​is as follows: Obtain all storage node labels, denoted as i, where i = 1, 2, ..., j, and j represents the number of storage nodes, according to the formula... The performance value Pi corresponding to storage node i is calculated, where S i For storage node read speed, S max For maximum read speed, D i For the reaction delay, D maxFor the maximum reaction delay, E i To read error rate, , and These are the corresponding weight coefficients, and + + =1; Then, the performance value Pi corresponding to storage node i is compared with the preset standard, and storage nodes that are greater than the preset standard are recorded as high-performance nodes, and storage nodes that are less than the preset standard are recorded as low-performance nodes.

[0011] As a further aspect of the present invention, the specific method by which the storage node analysis module generates node sorting information and capacity sorting information is as follows: All high-performance nodes are obtained and labeled as n, where n = 1, 2, ..., m, and m represents the number of high-performance nodes. The available storage capacity corresponding to high-performance node n is obtained and labeled as Rn. These are then sorted in descending order of value to generate node sorting information. At the same time, the high-frequency usage information obtained from the classification is obtained and labeled as k, where k = 1, 2, ..., u, and u represents the number of high-frequency usage information. The data capacity Lk corresponding to high-frequency usage information k is obtained and sorted in descending order of data capacity Lk to obtain capacity sorting information. The generated node sorting information and capacity sorting information are then transmitted to the storage management and analysis module.

[0012] As a further aspect of the present invention, the specific method by which the storage management analysis module generates storage management information is as follows: The system obtains the most frequently used data with the largest data capacity Lk and records it as the analysis object. At the same time, it analyzes and obtains the associated data of the analysis object. Then, it matches and stores the analysis object with the high-performance node with the largest storage capacity Rn in the node sorting information, and records the matched high-performance node as the matching node. At the same time, it obtains the associated nodes corresponding to the matching node, removes the associated nodes, and records the remaining high-performance nodes as nodes to be matched, and analyzes the nodes to be matched.

[0013] As a further aspect of the present invention, the specific method by which the storage management analysis module analyzes the nodes to be matched is as follows: Obtain all nodes to be matched and their available storage capacity, count the capacity and types of associated data and calculate the total capacity, calculate the proportion of the total capacity in the available storage capacity, set the nodes to be matched with a proportion greater than the threshold as secondary analysis nodes, select the node with the lowest usage frequency as the standard storage node for storing associated data, and generate storage management information. Using this method, all high-frequency usage information is sorted by node and capacity in a round-robin fashion, and the same analysis and storage are performed to generate corresponding information. The same storage analysis process is also performed on low-performance nodes and low-frequency usage information to produce corresponding storage management information.

[0014] An information-based business management method for power communication, the method specifically includes the following steps: Step 1: Classify the information business data to obtain classified data information, assign unique labels, and establish an information index. Step 2: Calculate the usage frequency of the classified data information and classify it into high-frequency and low-frequency usage information. At the same time, calculate the corresponding performance value by combining the read speed, response latency and read error rate of the storage nodes, and classify them into high-performance and low-performance nodes based on the performance value. Step 3: Analyze the storage of high-performance nodes and high-frequency usage information, sort them from largest to smallest according to their corresponding available storage capacity and data capacity, and generate node sorting information and capacity sorting information. Step 4: Obtain the generated sorting information, and obtain the associated data of high-frequency usage information and the associated nodes of high-performance nodes. Select standard storage nodes for storage based on the available storage capacity and usage frequency of the associated nodes, and generate storage management information.

[0015] This invention provides an information-based business management system and method for power communication. Compared with the prior art, it has the following advantages: This invention comprehensively and meticulously classifies information business data based on characteristics such as data source, purpose, and format, and uses a B-tree indexing method with good balance and efficient search performance to create an index for the classified data information, thereby improving data retrieval efficiency, enabling quick location of required data, reducing data query time, and increasing the processing speed of power communication services.

[0016] This invention comprehensively considers the read speed, response latency, and read error rate of storage nodes, calculates the performance value of storage nodes using a specific formula, and compares it with preset standards to classify nodes into high-performance and low-performance categories. Based on this, data storage tasks can be rationally allocated according to node performance, improving the utilization rate of storage resources, avoiding waste of storage resources, and enhancing the overall performance of the storage system.

[0017] This invention, through its storage management and analysis module, integrates node sorting and capacity sorting information, fully considering factors such as data capacity, node storage capacity, and the impact of inter-node correlations. It scientifically matches high-frequency and low-frequency usage information to suitable storage nodes, generating reasonable storage management information. This improves data storage stability and retrieval efficiency, ensuring reliable storage and efficient access to power communication data, and optimizing the entire power communication data storage and management process. Attached Figure Description

[0018] Figure 1 This is a block diagram illustrating the system principle of the present invention; Figure 2 This is a diagram illustrating the steps and methods of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Example 1 Please see Figure 1 This application provides an information-based business management system for power communication, including: an information service acquisition module, a classification management and analysis module, a storage node analysis module, a storage management and analysis module, and a management information output module, and combined with... Figure 1 It can be seen that the above functional modules are connected electrically in one direction.

[0021] The information service data acquisition module acquires information service data during power communication processes and transmits it to the classification management and analysis module. The main task of this module is to acquire information service data in real time during power communication. This data covers multiple aspects, including the operating status of power equipment, communication network traffic, and user electricity consumption information. The acquired data will be transmitted to the classification management and analysis module in a timely and accurate manner.

[0022] The classification management and analysis module analyzes the acquired information business data, classifies it according to data type to obtain classified data information, and establishes corresponding information indexes for the obtained classified data information. The information indexes are established using B-tree indexing. Then, the obtained classified data information is labeled as a, where a = 1, 2, ..., b, and b represents the type of classified data information. The acquired IT business data undergoes a comprehensive and detailed analysis. Based on the data's source, purpose, format, and other characteristics, it is categorized according to data type, resulting in categorized data information for each category. To improve data retrieval efficiency, a B-tree index is used to create corresponding information indexes for the categorized data information. B-tree indexes offer good balance and efficient search performance, enabling rapid location of the required data.

[0023] Each categorical data information is uniquely labeled, denoted as a, where a = 1, 2, ..., b, and b represents the category of the categorical data information.

[0024] Using time T as the period, and the specific value of time T is set by the operator, the number of times corresponding to category data information a is obtained, and the usage frequency corresponding to category data information a is calculated. The obtained usage frequency is compared with the frequency preset value, and the specific value of the frequency preset value is set by the operator. Category data information with a usage frequency greater than the frequency preset value is recorded as high-frequency usage information, and category data information with a usage frequency less than the frequency preset value is marked as low-frequency usage information. At the same time, the high-frequency and low-frequency usage information obtained from the classification is transmitted to the storage node analysis module.

[0025] The storage node analysis module processes distributed storage nodes, acquiring all storage nodes and labeling them as i, where i = 1, 2, ..., j, and j represents the number of storage nodes. It also obtains the read speed, response latency, and read error rate corresponding to storage node i and substitutes these values ​​into a formula. S i For storage node read speed, S max For maximum read speed, D i For the reaction delay, D max For the maximum reaction delay, E i The read error rate, or read error rate of a storage node, refers to the ratio of the number of errors that occur during data read operations on a storage node to the total number of read operations. , and These are the corresponding weight coefficients, and + + =1, calculate the performance value Pi corresponding to storage node i; The performance value Pi corresponding to storage node i is compared with a preset standard. The specific value of the preset standard is set by the operator. Storage nodes that are greater than the preset standard are recorded as high-performance nodes, and storage nodes that are less than the preset standard are recorded as low-performance nodes. Next, all high-performance nodes are obtained and labeled as n, where n = 1, 2, ..., m, and m represents the number of high-performance nodes. The available storage capacity corresponding to high-performance node n is obtained and labeled as Rn. These are then sorted in descending order of value to generate node sorting information. At the same time, the high-frequency usage information obtained from the classification is obtained and labeled as k, where k = 1, 2, ..., u, and u represents the number of high-frequency usage information. The data capacity Lk corresponding to high-frequency usage information k is obtained and sorted in descending order of data capacity Lk to obtain capacity sorting information. The generated node sorting information and capacity sorting information are then transmitted to the storage management and analysis module.

[0026] The storage management analysis module is used to comprehensively analyze the acquired node sorting and capacity sorting information, and the specific analysis method is as follows: Obtain capacity sorting information and select the most frequently used data with the largest data capacity Lk as the analysis object. Simultaneously, analyze and obtain the associated data of the analysis object. Here, associated data specifically refers to the data used simultaneously with the analysis object. Then, match the analysis object with the high-performance node with the largest storage capacity Rn in the node sorting information and store it. Record the matched high-performance node as the matching node. At the same time, obtain the associated nodes corresponding to the matching node. Here, associated nodes indicate that when the matching node is processing data, the corresponding storage node will be affected, such as changes in read speed or latency. Here, all high-performance nodes are analyzed, associated nodes are removed, and the remaining high-performance nodes are recorded as nodes to be matched. All nodes to be matched are obtained, along with their corresponding available storage capacity. The data capacity and corresponding data types of the associated data are also obtained. The total data capacity of the associated data is calculated. The ratio of the total data capacity to the available storage capacity is then calculated and compared with a threshold value set by the operator. Nodes with a ratio greater than the threshold are selected as secondary analysis nodes. The usage frequency of the secondary analysis nodes is also obtained, and the secondary analysis node with the lowest usage frequency is selected as the standard storage node. The associated data is stored with the standard storage node, generating storage management information. Similarly, all frequently used information is analyzed in the same way, and stored in round-robin order according to node sorting information and capacity sorting information to generate corresponding storage management information.

[0027] Similarly, the same storage analysis is performed on low-performance nodes and low-frequency usage information, and corresponding storage management information is generated. Finally, the generated storage management information is transmitted to the management information output module.

[0028] The management information output module is used to store information-based business data based on the acquired storage management information.

[0029] Example 2 Please see Figure 2 This application provides an information-based business management method for power communication, which specifically includes the following steps: Step 1: Classify the information business data to obtain classified data information, assign unique labels, and establish an information index. Step 2: Calculate the usage frequency of the classified data information and classify it into high-frequency and low-frequency usage information. At the same time, calculate the corresponding performance value by combining the read speed, response latency and read error rate of the storage nodes, and classify them into high-performance and low-performance nodes based on the performance value. Step 3: Analyze the storage of high-performance nodes and high-frequency usage information, sort them from largest to smallest according to their corresponding available storage capacity and data capacity, and generate node sorting information and capacity sorting information. Step 4: Obtain the generated sorting information, and obtain the associated data of high-frequency usage information and the associated nodes of high-performance nodes. Select standard storage nodes for storage based on the available storage capacity and usage frequency of the associated nodes, and generate storage management information.

[0030] The data in the above formulas are all calculated using numerical values, without substituting the units of the parameters. In addition, the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0031] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. An information-based business management system for power communication, characterized in that, include: The classification management and analysis module classifies the information business data transmitted by the information business data acquisition module to obtain classified data information, assigns a unique number, establishes an information index, calculates the usage frequency of the classified data information, and classifies it into high-frequency and low-frequency usage information, and then transmits it to the storage node analysis module. The storage node analysis module calculates the corresponding performance value by comprehensively considering the read speed, response latency, and read error rate of the storage nodes. Based on the performance value, it classifies the nodes into high-performance and low-performance nodes. The high-performance nodes are then analyzed in conjunction with the high-frequency usage information storage. The nodes are sorted from largest to smallest according to their available storage capacity and data capacity, generating node sorting information and capacity sorting information, which are then transmitted to the storage management analysis module. The storage management and analysis module obtains the generated sorting information, as well as the associated data of high-frequency usage information and the associated nodes of high-performance nodes. Based on the available storage capacity and usage frequency of the associated nodes, it selects standard storage nodes for storage, generates storage management information, and transmits it to the management information output module.

2. The information-based business management system for power communication according to claim 1, characterized in that, It also includes an information business data acquisition module and a management information output module; The information business data acquisition module is used to acquire information business data and transmit it to the classification management and analysis module; The management information output module is used to store information-based business data based on the storage management information.

3. The information-based business management system for power communication according to claim 1, characterized in that, The specific method by which the classification management and analysis module establishes the information index is as follows: The process involves acquiring information business data, classifying it according to data type to obtain categorized data information, establishing a corresponding information index for the obtained categorized data information using a B-tree index, and then labeling the obtained categorized data information as a, where a = 1, 2, ..., b, and b represents the type of categorized data information.

4. The information-based business management system for power communication according to claim 1, characterized in that, The specific method by which the classification management and analysis module obtains high-frequency and low-frequency usage information is as follows: Using time T as the period, the number of times the category data information a is used is obtained and the corresponding usage frequency is calculated. At the same time, it is compared with the frequency preset value. Category data information with a usage frequency greater than the frequency preset value is marked as high-frequency usage information, and vice versa is marked as low-frequency usage information.

5. An information-based business management system for power communication according to claim 1, characterized in that, The storage node analysis module classifies high-performance and low-performance nodes based on performance values ​​in the following specific way: Obtain all storage node labels, denoted as i, where i = 1, 2, ..., j, and j represents the number of storage nodes, according to the formula... The performance value Pi corresponding to storage node i is calculated, where S i For storage node read speed, S max For maximum read speed, D i For the reaction delay, D max For the maximum reaction delay, E i To read error rate, , and These are the corresponding weight coefficients, and + + =1; Then, the performance value Pi corresponding to storage node i is compared with the preset standard, and storage nodes that are greater than the preset standard are recorded as high-performance nodes, and storage nodes that are less than the preset standard are recorded as low-performance nodes.

6. The information-based business management system for power communication according to claim 1, characterized in that, The specific method by which the storage node analysis module generates node sorting information and capacity sorting information is as follows: All high-performance nodes are obtained and labeled as n, where n = 1, 2, ..., m, and m represents the number of high-performance nodes. The available storage capacity corresponding to high-performance node n is obtained and labeled as Rn. These are then sorted in descending order of value to generate node sorting information. At the same time, the high-frequency usage information obtained from the classification is obtained and labeled as k, where k = 1, 2, ..., u, and u represents the number of high-frequency usage information. The data capacity Lk corresponding to high-frequency usage information k is obtained and sorted in descending order of data capacity Lk to obtain capacity sorting information. The generated node sorting information and capacity sorting information are then transmitted to the storage management and analysis module.

7. An information-based business management system for power communication according to claim 1, characterized in that, The specific method by which the storage management analysis module generates storage management information is as follows: The system obtains the most frequently used data with the largest data capacity Lk and records it as the analysis object. At the same time, it analyzes and obtains the associated data of the analysis object. Then, it matches and stores the analysis object with the high-performance node with the largest storage capacity Rn in the node sorting information, and records the matched high-performance node as the matching node. At the same time, it obtains the associated nodes corresponding to the matching node, removes the associated nodes, and records the remaining high-performance nodes as nodes to be matched, and analyzes the nodes to be matched.

8. An information-based business management system for power communication according to claim 7, characterized in that, The specific method by which the storage management and analysis module analyzes the nodes to be matched is as follows: Obtain all nodes to be matched and their available storage capacity, count the capacity and types of associated data and calculate the total capacity, calculate the proportion of the total capacity in the available storage capacity, set the nodes to be matched with a proportion greater than the threshold as secondary analysis nodes, select the node with the lowest usage frequency as the standard storage node for storing associated data, and generate storage management information. Using this method, all high-frequency usage information is sorted by node and capacity in a round-robin fashion, and the same analysis and storage are performed to generate corresponding information. The same storage analysis process is also performed on low-performance nodes and low-frequency usage information to produce corresponding storage management information.

9. An information-based business management method for power communication, executed by an information-based business management system for power communication as described in any one of claims 1-8, characterized in that, The method specifically includes the following steps: Step 1: Classify the information business data to obtain classified data information, assign unique labels, and establish an information index. Step 2: Calculate the usage frequency of the classified data information and classify it into high-frequency and low-frequency usage information. At the same time, calculate the corresponding performance value by combining the read speed, response latency and read error rate of the storage nodes, and classify them into high-performance and low-performance nodes based on the performance value. Step 3: Analyze the storage of high-performance nodes and high-frequency usage information, sort them from largest to smallest according to their corresponding available storage capacity and data capacity, and generate node sorting information and capacity sorting information. Step 4: Obtain the generated sorting information, and obtain the associated data of high-frequency usage information and the associated nodes of high-performance nodes. Select standard storage nodes for storage based on the available storage capacity and usage frequency of the associated nodes, and generate storage management information.

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