Concentrator test data query method

Abstract

The invention relates to the technical field of concentrator test data query, in particular to a concentrator test data query method, which comprises the steps of acquiring concentrator data, determining query requirements, matching query messages, judging the validity of the messages, checking the existence of reply messages, judging the validity of the reply messages, judging faults and the like. Through an automatic process and a user-defined query demand, the method remarkably reduces check work of logs one by one, quickly locates problems, reduces troubleshooting time, reduces operation and maintenance cost, and improves user experience. The method is suitable for checking the meter reading problem of the concentrator, and has important application value and popularization prospect.

Description

Technical Field

[0001] The present invention relates to the technical field of concentrator test data query, and in particular to a concentrator test data query method. Background Art

[0002] In the real power system, with the development of smart grid, meter reading has been automated. It is no longer necessary to read meter data from door to door manually. Instead, multiple meters are read centrally through concentrators. Timely and accurate acquisition of meter data is crucial to ensure the safe and stable operation of the power grid. However, in the actual meter reading process, operation and maintenance personnel often encounter the problem of missing meter reading data. In order to determine the cause of the missing data, operation and maintenance personnel need to obtain the logs of the concentrator and analyze them based on the logs.

[0003] In actual work, a concentrator often samples data from a large number of meters, which will generate a huge amount of data during the meter reading process. Operation and maintenance personnel or testers need to check these logs one by one to determine which meters have missing data and the reasons for the missing data. The method of checking one by one is not only time-consuming, but also inefficient, and it is difficult to meet the power system's demand for efficient operation and maintenance; in addition, due to the large amount of data and primitive troubleshooting methods, operation and maintenance personnel may find it difficult to accurately determine the specific location and cause of the fault during the troubleshooting process, resulting in inaccurate troubleshooting results, affecting subsequent processing and repair work.

[0004] Therefore, designing a concentrator test data query method to solve the above problems has important practical significance. Summary of the invention

[0005] In order to solve the problems existing in the background technology, the present invention provides a concentrator test data query method, which includes:

[0006] S1. Obtain concentrator data: obtain data items and logs stored in the concentrator.

[0007] S2. Determine the query requirements;

[0008] S3. Matching query message: According to the query requirements, search for matching query messages and reply messages in the log of the concentrator.

[0009] S4. Determine the validity of the query message: The result of the validity determination depends on whether the message has been sent and whether the sending format is correct.

[0010] S5. Check the existence of the reply message: confirm whether there is a reply message corresponding to the query message. If there is no reply message, it is determined that the meter is faulty, resulting in failure to respond to the query request of the concentrator.

[0011] S6. Determine the validity of the reply message: If there is a reply message, further determine whether the reply message is valid. The result of the validity determination depends on whether the message has been sent and whether the sending format is correct.

[0012] S7. Fault diagnosis: Locate the device and type of fault based on the inspection results of the query message and reply message.

[0013] Further, in step S1, data items and logs are automatically recorded and stored by the concentrator during the process of executing meter readings, and contain various key information of the meter operation; data items include the meter's forward active energy, reverse active energy, voltage, current and active power.

[0014] Further, in step S2, the query requirement includes query conditions, meter number or ID of the electric meter, and time range.

[0015] Further, in step S3, the query message is the query request sent by the concentrator to the meter, and the reply message is the meter's response to the query request. In the process of matching the query message, it is performed based on the meter's identification, time and data items to ensure that the message found is consistent with the user's query requirements.

[0016] Further, in steps S4 and S6, the message format error includes a time error, a data item error, a frame format error or a communication protocol type error.

[0017] Further, in step S6, if the reply message format is correct and valid, it is determined that the communication between the concentrator and the meter is normal, and the reason for the missing data item is the concentrator storage problem; if the reply message is invalid, it is determined that the reply message sent by the meter has a format error.

[0018] Further, in step S7, if the query message is invalid and there is no reply message, it is determined that the fault occurs at the sending end of the concentrator; if the query message is valid but the reply message is invalid, it is determined that the fault occurs at the meter or the communication link between the meter and the concentrator; if both the query message and the reply message are valid but the data item is missing, it is determined that the fault occurs in the storage system of the concentrator.

[0019] The beneficial effects achieved by the present invention are:

[0020] The present invention designs an accurate and efficient query method, which reduces the work of operation and maintenance personnel or test personnel to check the concentrator logs one by one, and significantly improves the efficiency of troubleshooting data missing problems. Operation and maintenance personnel can locate the problem more quickly and reduce troubleshooting time.

[0021] The method of the present invention can determine whether the concentrator has sent a query message, and can further determine the validity of the query message and the reply message, so as to accurately determine whether the fault occurs in the concentrator or the meter, as well as the specific fault type, greatly improving the accuracy of fault location.

[0022] Users can customize query requirements according to actual needs, such as querying a certain operation data of a certain meter in a specific time period, or locating the distribution of a certain data in all meters. This flexibility makes the query method more adaptable to different application scenarios and needs.

[0023] The present invention improves the troubleshooting efficiency and positioning accuracy, and the operation and maintenance personnel can solve the data missing problem more quickly, reducing the adverse effects such as power outages caused by faults. At the same time, it also reduces the manpower, material and other costs caused by long-term troubleshooting and repairing faults.

[0024] For power users, timely meter reading data and accurate electricity bill calculation are basic needs. This patent ensures that power users can obtain timely and accurate electricity consumption data by improving operation and maintenance efficiency and fault location accuracy, thereby improving user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 The present invention is a flow chart of a concentrator test data query method. DETAILED DESCRIPTION

[0026] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative, and the present invention is not limited to the various structures recorded in the following embodiments. All other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0027] Reference Figure 1 The present invention is applicable to the problem of meter reading in the concentrator, and the problem can be located by checking the log. To achieve the above purpose, the technical solution adopted by the present invention can determine the cause of missing data items in the concentrator based on the log of the concentrator. Predetermine the query items defined by the user, and then determine whether there is a message corresponding to the query item. If so, it is pre-empted that the concentrator has not read the meter. Then, determine whether the query message of the concentrator is valid and whether the reply message returned by the meter is valid in turn, so as to locate whether the cause of missing data items is in the concentrator or the meter.

[0028] The detailed process of a concentrator test data query method of the present invention is as follows:

[0029] Step 1: Get the data items and logs stored in the concentrator;

[0030] Data item acquisition: First, the system automatically retrieves key data items from the storage medium of the concentrator, including but not limited to the meter's forward active energy, reverse active energy, voltage, current and active power, etc. These data items are the basis for subsequent analysis and query.

[0031] Log Recording: At the same time, the system will also obtain the log file of the concentrator. The log records in detail every communication between the concentrator and the meter, including the query messages sent and the reply messages received. These logs provide valuable clues for troubleshooting.

[0032] Step 2: Determine the user's current query needs;

[0033] Demand input: Users input query requirements through the user interface based on actual needs. These requirements may include specific meter identifiers (such as meter numbers or IDs), time ranges, or data item types that need to be queried.

[0034] Demand analysis: The system analyzes the user's input to ensure that it understands and accurately reflects the user's query intent.

[0035] Step 3: Determine whether there is a matching message in the log according to the query requirements;

[0036] Log search: The system searches the log files of the concentrator according to the query requirements set by the user, and finds the query messages and reply messages that match the query requirements.

[0037] Match judgment: If a message matching the query requirement is found, proceed to the next step; if no matching message is found, it is confirmed that the concentrator has not initiated a query request to the target meter within the specified time. The possible reason is that the concentrator is incorrectly configured or the corresponding query task is not started.

[0038] Step 4: Determine whether the matched query message is valid;

[0039] Format verification: The system performs strict format verification on the query message to check whether the message's timestamp, data items, frame format, and communication protocol type are accurate.

[0040] Validity determination: If the query message format is correct and meets the predetermined standards, it is determined to be valid; if there is a format error (such as time error, data item error, frame format error or communication protocol type error, etc.), it is determined to be invalid and the corresponding error information is recorded.

[0041] Step 5: Determine whether the query message has a corresponding reply message;

[0042] Reply message search: After confirming that the query message is valid, the system continues to search for the reply message corresponding to the query message.

[0043] Existence determination: If a reply message matching the query message is found, proceed to the next step; if no corresponding reply message is found, it is determined that the meter fails to respond normally after receiving the query request, which may be due to a meter failure or a problem with the communication link.

[0044] Step 6: Determine whether the corresponding reply message is valid;

[0045] Reply message verification: The system verifies the found reply message to check whether its format, data items and content match the query request.

[0046] Validity determination: If the reply message format is correct and the content is complete, it is determined to be valid; if there is a format error or data inconsistency, it is determined to be invalid and the corresponding error information is recorded.

[0047] Step 7: Fault diagnosis;

[0048] Comprehensive analysis: Based on the inspection results of the query message and the reply message, the system conducts a comprehensive analysis of the fault.

[0049] Fault location:

[0050] If the query message is invalid and there is no reply message, it is determined that the fault occurs at the sending end of the concentrator, which may be a concentrator configuration error, software defect, or hardware failure.

[0051] If the query message is valid but the reply message is invalid, it is determined that the fault occurs in the meter or the communication link between the meter and the concentrator, which may be a meter fault, a communication line problem, or an incompatible communication protocol.

[0052] If both the query message and the reply message are valid but the data item is missing, it is determined that the fault occurs in the storage system of the concentrator, which may be storage medium damage, storage policy error, or data synchronization problem.

[0053] The present invention significantly improves the query efficiency of concentrator test data, reduces operation and maintenance costs, and improves user experience through a series of automated query processes and accurate fault location mechanisms. The method is not only suitable for concentrator test data query in power systems, but can also be widely used in other fields that require efficient and accurate troubleshooting of data missing causes.

[0054] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A concentrator test data query method, characterized in that: It includes: S1. Obtain concentrator data: obtain data items and logs stored in the concentrator; S2. Determine the query requirements; S3, matching query message: according to the query requirements, searching the concentrator's log for matching query messages and reply messages; S4. Determine the validity of the query message: The result of the validity determination is based on whether the message has been sent and whether the sending format is correct; S5. Check the existence of the reply message: confirm whether there is a reply message corresponding to the query message; if there is no reply message, it is determined that the meter is faulty, resulting in failure to respond to the query request of the concentrator; S6. Determine the validity of the reply message: If there is a reply message, further determine whether the reply message is valid. The result of the validity determination depends on whether the message has been sent and whether the sending format is correct. S7. Fault diagnosis: Locate the device and type of fault based on the inspection results of the query message and reply message.

2. The concentrator test data query method according to claim 1, characterized in that: In step S1, the data items and logs are automatically recorded and stored by the concentrator during the process of executing the meter reading, and contain various key information of the meter operation; the data items include the meter's forward active energy, reverse active energy, voltage, current and active power.

3. The concentrator test data query method according to claim 1, characterized in that: In step S2, the query requirement includes query conditions, meter number or ID, and time range.

4. The concentrator test data query method according to claim 1, characterized in that: In step S3, the query message is the query request sent by the concentrator to the meter, and the reply message is the meter's response to the query request; in the process of matching the query message, it is based on the meter's identification, time and data items to ensure that the message found is consistent with the user's query requirements.

5. The concentrator test data query method according to claim 1, characterized in that: In steps S4 and S6, the message format error includes a time error, a data item error, a frame format error or a communication protocol type error.

6. The concentrator test data query method according to claim 5, characterized in that: In step S6, if the reply message format is correct and valid, it is determined that the communication between the concentrator and the meter is normal, and the reason for the missing data item is a storage problem of the concentrator; If the reply message is invalid, it is determined that the reply message sent by the meter has a format error.

7. The concentrator test data query method according to claim 6, characterized in that: In step S7, if the query message is invalid and there is no reply message, it is determined that the fault occurs at the sending end of the concentrator; if the query message is valid but the reply message is invalid, it is determined that the fault occurs at the meter or the communication link between the meter and the concentrator; if both the query message and the reply message are valid but the data item is missing, it is determined that the fault occurs in the storage system of the concentrator.

Images