An information processing method and system for electric power data collector

Abstract

The present invention relates to the field of information processing technology, and in particular to an information processing method and system for an electric power data collector, the method comprising: collecting electric power data; classifying the electric power data and determining the data level, and sending the classified data to corresponding data containers respectively; comparing the data volume with the standard total data volume and allocating the data, and comparing the data transmission speed with the standard data transmission speed and calculating the designated collection time, and calculating the adjustment coefficient of the designated collection time according to the data transmission speed change rate and adjusting the designated collection time of the data collector; issuing a control instruction to the collection module according to the processing result and switching the data collection mode. The present invention improves the data collection efficiency by determining the designated collection time of data collection according to the data transmission speed, and further determining the adjustment coefficient of the designated collection time according to the data transmission speed change rate and controlling the data collection mode.

Description

Technical Field

[0001] The present invention relates to the field of information processing technology, and in particular to an information processing method and system for a power data collector. Background Art

[0002] Power data acquisition refers to the collection of data on various parameters in the power system, including voltage, current, power and other information, through sensors and other equipment. Power data acquisition is a crucial link in the power system, and its accuracy and real-time performance are of great significance for the monitoring, analysis and optimization of the power system. The process of power data acquisition involves the power data collector collecting data, which is processed and amplified, and then transmitted to the data center through the communication module for monitoring and analysis. Common power data acquisition methods include remote monitoring systems, sensor technology and data loggers. Remote monitoring systems use communication networks to achieve remote monitoring and control of power grid equipment and user terminals. However, in power line communication systems, when the power line is interfered by noise or the data transmission load is heavy, it will affect normal communication and data transmission, and the collected data will be congested or lost during data transmission, resulting in data acquisition efficiency far lower than the needs of remote monitoring and control.

[0003] The patent document with Chinese patent application publication number CN117040130A discloses a power data acquisition system, including a data acquisition device and multiple data acquisition devices; the multiple data acquisition devices are respectively installed at each power grid monitoring point to collect power data; the data acquisition module includes a sub-RF module and a power data monitoring module; the data acquisition device includes a central processing unit, a main RF module, a display module and a frequency modulation module.

[0004] However, in the prior art, the RF frequency of the RF signal transmitted by the main RF module is adjusted to avoid being unable to collect power data due to conditional restrictions, resulting in a single method for adjusting and collecting power data and low data collection efficiency. Summary of the invention

[0005] To this end, the present invention provides an information processing method and system for an electric power data collector, which solves the problem of low data collection efficiency in the prior art by determining the designated collection time for data collection according to the data transmission speed, and further determining the adjustment coefficient of the designated collection time according to the data transmission speed change rate and controlling the data collection mode.

[0006] To achieve the above object, the present invention provides an information processing method for a power data collector, the method comprising:

[0007] Collect overall power data;

[0008] Classifying the overall power data according to user categories to obtain power data of each level, determining data scores of the level power data in combination with historical operation data, and sending the level power data to corresponding data container groups respectively;

[0009] Receiving the graded power data respectively and determining the actual number of data containers of each data container group according to the data score and obtaining the corresponding total data volume;

[0010] For any data container group, a first comparison result is obtained by comparing the total data amount received by any data container group with a preset standard total data amount, and the actual data container quantity is corrected according to the first comparison result to obtain a target data container quantity;

[0011] For any data container in any data container group, a second comparison result is obtained by comparing the data transmission speed of the data received by the data container with a preset standard data transmission speed, and a designated collection time is determined according to the second comparison result, and the designated collection time is corrected according to the data transmission speed change rate combined with the transmission integrity;

[0012] According to the comparison results, control instructions are issued to switch the data acquisition mode.

[0013] Furthermore, the process of classifying the overall power data according to user categories to obtain power data of each level and determining the data score of the power data of each level in combination with historical operation data is as follows:

[0014] Identify historical operation data, mark abnormal operation data, and record the number of abnormalities;

[0015] Determine the data score according to the classification result combined with the number of abnormalities;

[0016] Among them, the user categories include residential users and enterprise users, wherein the enterprise users include production enterprise users and regular enterprise users, the power data of the production enterprise users is first-level power data, the power data of the regular enterprise users is second-level power data, and the power data of the residential users is third-level power data.

[0017] Furthermore, the process of determining the actual number of data containers of each data container group according to the data score is as follows:

[0018] Determine, according to the absolute value of the third difference and a preset third evaluation value, that the value of the actual number of data containers is the first actual number, or the second actual number, or the third actual number;

[0019] The third absolute value of the difference is the absolute value of the difference between the data score and a preset standard score.

[0020] Furthermore, the process of obtaining a first comparison result by comparing the total data amount received by any data container group with a preset standard total data amount is:

[0021] When the total amount of data received by the data container group is less than or equal to the standard total amount of data, the first comparison result is that the data container group is in a normal state;

[0022] When the total amount of data received by the data container group is greater than the standard total amount of data, the first comparison result is that the data container group is in an overflow state.

[0023] Furthermore, the process of correcting the actual number of data containers according to the first comparison result to obtain the target number of data containers is as follows:

[0024] When the first comparison result is that the data container group is in an overflow state, determining the number of overflow data containers corresponding to the overflow data according to the absolute value of the first difference and a preset standard single data amount;

[0025] Correcting the actual number of data containers according to the overflowed number of data containers to obtain the target number of data containers;

[0026] The first absolute value of the difference is the absolute value of the difference between the total data volume and the standard total data volume.

[0027] Furthermore, the process of obtaining a second comparison result by comparing the data transmission speed of the data container receiving the data with a preset standard data transmission speed is as follows:

[0028] When the data transmission speed at which the data container receives data is less than or equal to the standard data transmission speed, the second comparison result is that the data container transmission load is normal;

[0029] When the data transmission speed of the data container receiving data is greater than the standard data transmission speed, the second comparison result is that the data container transmission load is too large.

[0030] Further, the process of determining the designated acquisition time according to the second comparison result is:

[0031] When the second comparison result is that the transmission load of the data container is too large, determining the transmission abnormality level of the data container according to the data transmission speed change rate combined with a preset second evaluation value;

[0032] Determining the designated collection time according to the transmission abnormality level;

[0033] Among them, the data transmission speed change rate is the absolute value of the difference between the data transmission speed and the standard data transmission speed; the specified collection time is the time to delay the data collector to collect data; the data transmission speed is the amount of data received by the data container per unit time.

[0034] Furthermore, the process of correcting the designated acquisition time according to the data transmission speed change rate combined with the transmission integrity is as follows:

[0035] Determining the data transmission quality according to the fourth difference absolute value combined with a preset fourth evaluation value;

[0036] Correcting the designated acquisition time according to the data transmission speed change rate combined with the data transmission quality to obtain an actual acquisition time;

[0037] The fourth difference absolute value is an absolute value of a difference between the transmission integrity and a preset standard integrity.

[0038] Furthermore, the process of issuing control instructions according to each comparison result to switch the data acquisition mode is as follows:

[0039] When the total data volume is in a normal state, a first control instruction is issued; the first control instruction is to switch the acquisition mode to a real-time acquisition mode;

[0040] When the total data volume is in an overflow state, the collection mode is switched to a timed automatic collection mode or a designated time collection mode according to the transmission abnormality level.

[0041] Among them, the real-time collection mode is to collect the power data of the power meter in real time; the timed automatic collection mode is to automatically collect the power data of the power meter according to a constant time interval; the designated time collection mode is to collect the power data of the power meter within a designated time according to the designated collection time.

[0042] On the other hand, the present invention also provides an information processing method for a power data collector and an information processing system for a power data collector, comprising:

[0043] A collection module, including a plurality of data collectors, for collecting the overall power data;

[0044] a classification module, connected to the acquisition module, for classifying the overall power data according to user categories and determining data levels and determining data scores of power data of each level in combination with the historical operation data, and sending the classified power data of each level to corresponding data container groups respectively;

[0045] A data container module, connected to the classification module, including a plurality of data container groups, each of which is used to receive the corresponding classified grade power data and determine the actual number of data containers;

[0046] a processing module connected to the data container module, comprising a first processing unit, a second processing unit and a third processing unit, configured to compare the total amount of data received by each data container group with a preset standard total amount of data in each data container group to obtain the first comparison result and distribute the data received by the data container group according to the first comparison result, compare the data transmission speed of the data received by each data container with a preset standard data transmission speed to obtain the second comparison result and calculate the designated collection time according to the second comparison result, and modify the designated collection time according to the data transmission speed change rate combined with the transmission integrity;

[0047] The control module is connected to the processing module and is used to send the control instruction to the acquisition module and switch the data acquisition mode according to the comparison result.

[0048] Compared with the prior art, the beneficial effects of the present invention are that by classifying the overall power data according to user categories, it is helpful to better understand and manage the data needs and characteristics of different users; scoring the power data in combination with historical operation data ensures that the data is distributed according to importance and quality, which helps to optimize data storage and retrieval efficiency; by receiving data and determining the actual number of data containers in each data container group according to the score, dynamic adjustment of data storage is achieved to avoid waste of resources; by comparing the total amount of received data with the preset standard, the number of data containers is automatically adjusted to ensure efficient use of storage resources and timely expansion or reduction; by comparing the data transmission speed with the preset standard, the efficiency and stability of data transmission are ensured; by analyzing the data transmission speed change rate and transmission integrity, the data collection time is dynamically adjusted to improve the overall efficiency and accuracy of data transmission; Automatically issue control instructions based on the comparison results to switch data collection modes, reduce manual intervention, and improve automation and response speed; through dynamic adjustment of the collection mode, ensure that data can be collected in the best way under different conditions, improve flexibility and adaptability; automatically classify, score and store data, and dynamically adjust as needed to reduce manual operations and improve management efficiency; ensure efficient use of resources and reduce waste through real-time monitoring and adjustment of data storage and transmission; dynamically adjust data collection time and mode to ensure stability and reliability of data transmission; classify and process according to user category and data score, provide personalized data management and services, and be able to adjust and optimize according to real-time data conditions to improve response speed and processing capabilities; realize efficient management and optimization of power data, and improve the overall efficiency and reliability of data collection, transmission and storage.

[0049] In particular, by identifying anomalies in historical operating data and recording the number of anomalies, historical data can be used to discover possible problems or anomalies; combining user categories and the number of anomalies in historical operating data to determine data scores can provide personalized scoring and processing for the needs of different user categories, thereby improving the flexibility and adaptability of data management; automatically calculating data scores based on classification results and the number of anomalies reduces the need for manual intervention and improves the accuracy and consistency of scoring; preset calculation compensation parameters can be adjusted according to actual conditions, making the scoring mechanism more flexible and adjustable; dividing power data into different levels enables more detailed data management and processing; comprehensively considering user categories and the number of historical anomalies to calculate data scores enables a more comprehensive assessment of the importance and quality of data, thereby improving the accuracy and reliability of data evaluation; reducing manual intervention and processing time, improving efficiency and accuracy, and realizing intelligent scoring and classification of power data, thereby providing more precise guidance for subsequent data processing and storage, and improving overall efficiency and performance.

[0050] In particular, by calculating the difference between the data score and the preset standard score, the number of data containers can be dynamically adjusted to flexibly respond to different changes in data volume and data quality; the absolute value of the difference is used to determine the number of data containers, ensuring an accurate assessment of the degree of deviation in the score; by setting a threshold, different adjustment responses can be made according to the size of the difference and the score, ensuring that the optimal adjustment strategy can be adopted in different situations; according to the relationship between the difference and the score, the first, second or third actual number is selected respectively to ensure that the number of data containers can accurately adapt to actual needs; by fine-tuning the number of data containers, efficient use of resources is ensured; the number of data containers is automatically determined based on the score difference and the preset standard, reducing manual intervention and improving operational efficiency and accuracy; the number of data containers is dynamically adjusted according to real-time data and scoring conditions to ensure flexibility and adaptability of storage and processing; the number of containers can be adjusted in real time according to the actual data situation to adapt to different data loads and needs, thereby improving resource utilization efficiency; it can quickly respond to changes in data volume and data quality to ensure the efficiency and timeliness of data management; and it improves the efficiency, flexibility and reliability of data storage and processing.

[0051] In particular, by accurately identifying whether the data container group is in a "normal state" or an "overflow state", the judgment is made by comparing the total data volume with the preset standard total data volume; and when the data container group is in an "overflow state", the number of data containers that need to be added can be calculated according to the overflow data volume, and the number of target data containers can be adjusted accordingly; dynamically adapt to changes in data flow; when calculating the number of overflow data containers, round up is used to ensure that the overflow data can be fully accommodated to avoid data loss; the ability to adapt to data changes can be effectively improved, and the reliability and stability of data processing can be improved.

[0052] In particular, by comparing the data transmission speed with the preset standard in real time, it is possible to quickly find out whether the data transmission load is too large; it helps to find potential network or system bottlenecks in time, thereby avoiding performance problems caused by overload; by setting different evaluation values ​​to determine different transmission anomaly levels, this hierarchical processing can manage data collection more finely; different response strategies can be adopted for different levels of anomalies, such as mild anomalies can be monitored in real time, while severe anomalies may require immediate measures to resolve. When the transmission load is detected to be too large, the collection time can be dynamically adjusted according to the transmission speed change rate and the preset evaluation value, which can reduce data collection during the peak period of data transmission and avoid causing greater pressure on the system; by setting an alarm mechanism, when the transmission speed is abnormal, an alarm signal can be issued to notify the system administrator or automatically start the emergency procedure, thereby minimizing the losses caused by transmission anomalies; by detecting and responding to changes in data transmission speed in advance, it helps to maintain stable operation and prevent crashes or data loss caused by data backlog; it optimizes data collection efficiency and reduces unnecessary data transmission and processing, thereby improving the efficiency of overall data management; it monitors the data transmission status in real time, dynamically adjusts the data collection strategy through intelligent judgment and hierarchical processing, and has an early warning mechanism to improve the efficiency of data management.

[0053] In particular, by combining the data transmission speed change rate and transmission integrity to evaluate the data transmission quality, we can have a more comprehensive understanding of the data transmission situation, focusing not only on the speed but also on the integrity of the data, thereby ensuring that the collected data is both fast and accurate; by correcting the collection time according to the data transmission quality and speed change rate, we can dynamically adapt to the changes in data transmission, ensuring that the data collection time is reasonably adjusted without affecting the data quality, thereby improving the efficiency of data collection; according to the status of the total data volume and the transmission abnormality level, we can flexibly switch to real-time collection mode, scheduled automatic collection mode or specified time collection mode, which helps to optimize the use of resources, reduce unnecessary data processing, and improve the adaptability of data collection; real-time The collection mode can ensure that the data reflects the current power data status as much as possible, while scheduled automatic collection and designated time collection can be carried out according to preset strategies, avoiding inaccuracies caused by data backlogs; by issuing control instructions, the collection mode can be switched in time when data transmission abnormalities are detected, which helps prevent data overflow or loss, and can respond to status changes in time to ensure the continuity and stability of data collection; by intelligently switching the collection mode, resource allocation can be optimized according to the current load and data transmission conditions, reducing unnecessary resource consumption and improving overall performance; the collection time can be dynamically adjusted according to the actual data transmission situation, and the efficiency and accuracy of data collection can be improved through flexible data collection mode switching. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 This is a flow chart of an information processing method for a power data collector in an embodiment of the present invention;

[0055] Figure 2 A flowchart for determining data scores in an embodiment of the present invention;

[0056] Figure 3 This is a schematic diagram of the structure of an information processing system for a power data collector according to an embodiment of the present invention;

[0057] Figure 4 This is a schematic diagram of the structure of a processing module in an embodiment of the present invention;

[0058] Figure 5 This is a schematic diagram of the structure of the first processing unit in an embodiment of the present invention;

[0059] Figure 6 This is a schematic diagram of the structure of the second processing unit in an embodiment of the present invention;

[0060] Figure 7 This is a schematic diagram of the structure of the third processing unit in an embodiment of the present invention;

[0061] Figure numerals: 1. acquisition module; 2. classification module; 3. data container module; 4. processing module; 5. control module; 401. first processing unit; 402. second processing unit; 403. third processing unit; 4011. first comparator; 4012. first calculator; 4013. distributor; 4021. second comparator; 4022. second calculator; 4031. third calculator; 4032. regulator. DETAILED DESCRIPTION

[0062] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0063] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0064] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0065] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0066] An information processing method and system for power data collector, please refer to Figure 1-7 As shown, it can be implemented as follows: Figure 1 As shown in the flow chart of an information processing method for a power data collector, the information processing method for a power data collector includes:

[0067] Step S100, collecting overall power data;

[0068] Step S200, classifying the overall power data according to user categories to obtain power data of each level, determining data scores of the power data of each level in combination with historical operation data, and sending the power data of each level to corresponding data container groups respectively;

[0069] Step S300, receiving the graded power data respectively and determining the actual number of data containers of each data container group according to the data score and obtaining the corresponding total data volume;

[0070] Step S400, for any data container group, comparing the total data volume received by any data container group with a preset standard total data volume to obtain a first comparison result and correcting the actual data container quantity according to the first comparison result to obtain a target data container quantity;

[0071] Step S500, for any data container in any data container group, compare the data transmission speed of the data received by the data container with a preset standard data transmission speed to obtain a second comparison result, determine a designated collection time according to the second comparison result, and modify the designated collection time according to a data transmission speed change rate combined with a transmission integrity;

[0072] Step S600: issuing a control instruction according to each comparison result to implement the switching of the data acquisition mode.

[0073] Specifically, the embodiments of the present invention classify the overall power data according to user categories, thereby helping to better understand and manage the data needs and characteristics of different users; score the power data in combination with historical operation data to ensure that the data is distributed according to importance and quality, which helps to optimize data storage and retrieval efficiency; receive data and determine the actual number of data containers for each data container group based on the score, thereby achieving dynamic adjustment of data storage and avoiding waste of resources; automatically adjust the number of data containers based on the comparison of the total amount of received data with the preset standard to ensure efficient use of storage resources and timely expansion or reduction; compare the data transmission speed with the preset standard to ensure the efficiency and stability of data transmission; dynamically adjust the data acquisition time through analysis of the data transmission speed change rate and transmission integrity to improve the overall efficiency and accuracy of data transmission; As a result, control instructions are automatically issued to switch data acquisition modes, reduce human intervention, and improve automation and response speed. Through dynamic adjustment of the acquisition mode, data can be collected in the best way under different conditions, improving flexibility and adaptability. Data is automatically classified, scored and stored, and dynamically adjusted as needed to reduce human operations and improve management efficiency. Real-time monitoring and adjustment of data storage and transmission ensure efficient use of resources and reduce waste. Data acquisition time and mode are dynamically adjusted to ensure stability and reliability of data transmission. Classification and processing are carried out according to user categories and data scores, providing personalized data management and services, and can be adjusted and optimized according to real-time data conditions to improve response speed and processing capabilities. Efficient management and optimization of power data are achieved, and the overall efficiency and reliability of data acquisition, transmission and storage are improved.

[0074] By classifying data according to user categories and determining data levels, the accuracy of data collection can be improved; by receiving classified power data through data containers, each data container can receive data of corresponding categories respectively, which helps to improve the accuracy and efficiency of data processing; by allocating data received by data containers according to the amount of data in the data containers, accurate data allocation can be achieved; by calculating the specified collection time according to the data transmission speed, the data transmission efficiency can be improved; by calculating the adjustment coefficient of the specified collection time according to the data transmission speed change rate, accurate adjustment of the data collection time can be achieved, which helps to accurately determine the data collection mode and improve data collection efficiency.

[0075] Specifically, see Figure 2 As shown, it is a flow chart for determining data scoring. The process of classifying the overall power data according to user categories to obtain power data of each level and determining the data scoring of the level power data in combination with historical operation data is as follows:

[0076] Step S210, identifying historical operation data, marking abnormal operation data, and recording the number of abnormalities;

[0077] Step S220, determining the data score according to the classification result and the number of abnormalities;

[0078] Among them, the user categories include residential users and enterprise users, wherein the enterprise users include production enterprise users and regular enterprise users, the power data of the production enterprise users is first-level power data, the power data of the regular enterprise users is second-level power data, and the power data of the residential users is third-level power data.

[0079] Specifically, in this embodiment, the historical operation data is identified, the abnormal operation data is marked as an abnormal type, and the number of occurrences of the abnormal type is recorded to obtain the abnormal number C;

[0080] Calculate the data score K1 according to the classification result and the number of abnormalities C;

[0081]

[0082] compensation parameter, a3 is a preset third calculation compensation parameter;

[0083] During the specific implementation process, the first calculation compensation parameter is set to 0.6; the second calculation compensation parameter is set to 0.7; the third calculation compensation parameter is set to 0.8; the specific settings are also affected by the actual evaluation accuracy index. In this embodiment, the actual evaluation accuracy index is that the collection accuracy of all power data in the power system must reach more than 90%.

[0084] Specifically, the embodiments of the present invention can use historical data to discover possible problems or abnormal situations by identifying abnormal situations in historical operation data and recording the number of abnormal situations; combine user categories and the number of abnormal situations in historical operation data to determine data scores, and can perform personalized scoring and processing according to the needs of different user categories, thereby improving the flexibility and adaptability of data management; automatically calculate data scores based on classification results and the number of abnormal situations, reduce the need for manual intervention, and improve the accuracy and consistency of scoring; preset calculation compensation parameters can be adjusted according to actual conditions, making the scoring mechanism more flexible and adjustable; classify power data into different levels, so that data can be managed and processed more meticulously; comprehensively consider user categories and historical abnormality times to calculate data scores, so as to more comprehensively evaluate the importance and quality of data and improve the accuracy and reliability of data evaluation; reduce manual intervention and processing time, improve efficiency and accuracy, and realize intelligent scoring and classification of power data, thereby providing more accurate guidance for subsequent data processing and storage, and improving overall efficiency and performance.

[0085] Specifically, the process of determining the actual number of data containers of each data container group according to the data score in this embodiment is as follows:

[0086] Determine, according to the absolute value of the third difference and a preset third evaluation value, that the value of the actual number of data containers is the first actual number, or the second actual number, or the third actual number;

[0087] The third difference absolute value S3 is calculated according to the data score K1 and the preset standard score K0; S3 = |K1-K0|;

[0088] If S3≤S30, then determine that the value of the actual number of data containers is the second actual number X2;

[0089] If S3>S30 and K1<K0, then determine that the value of the actual number of data containers is the first actual number X1;

[0090] If S3>S30 and K1>K0, then determine that the value of the actual number of data containers is the third actual number X3;

[0091] Wherein, S30 is the third evaluation value;

[0092] The first actual number X1 is equal to the preset standard data container number X0, and the second actual number X2 is equal to;

[0093] X2=[1+(S30-S3)×b]×X0;

[0094] The third actual quantity X3 is:

[0095] X3=[1+(K1-K0)×b]×X0;

[0096] Wherein, b is the preset first calculation adjustment parameter; the values ​​of X2 and X3 are rounded up;

[0097] In the specific implementation process, the specific settings of the standard score, the third evaluation value, the number of standard data containers and the first calculation adjustment parameter are affected by the actual evaluation accuracy index.

[0098] Specifically, the embodiment of the present invention can dynamically adjust the number of data containers by calculating the difference between the data score and the preset standard score, and flexibly respond to different changes in data volume and data quality; use the absolute value of the difference to determine the number of data containers, ensuring accurate assessment of the degree of deviation of the score; by setting a threshold, different adjustment responses can be made according to the size of the difference and the score, ensuring that the optimal adjustment strategy can be adopted in different situations; according to the relationship between the difference and the score, the first, second or third actual number is selected respectively to ensure that the number of data containers can accurately adapt to actual needs; by finely adjusting the number of data containers, efficient use of resources is ensured; the number of data containers is automatically determined according to the score difference and the preset standard, reducing manual intervention and improving operational efficiency and accuracy; the number of data containers is dynamically adjusted according to real-time data and scoring conditions to ensure flexibility and adaptability of storage and processing; the number of containers can be adjusted in real time according to the actual data situation to adapt to different data loads and needs, thereby improving resource utilization efficiency; it can quickly respond to changes in data volume and data quality to ensure the efficiency and timeliness of data management; and the efficiency, flexibility and reliability of data storage and processing are improved.

[0099] Specifically, the process of obtaining the first comparison result by comparing the total data amount received by any data container group with the preset standard total data amount in this embodiment is:

[0100] Step S411: when the total amount of data received by the data container group is less than or equal to the standard total amount of data, the first comparison result is that the data container group is in a normal state;

[0101] Step S412: When the total amount of data received by the data container group is greater than the standard total amount of data, the first comparison result is that the data container group is in an overflow state.

[0102] Specifically, the process of correcting the actual number of data containers according to the first comparison result to obtain the target number of data containers in this embodiment is as follows:

[0103] Step S421, when the first comparison result is that the data container group is in an overflow state, determining the number of overflow data containers corresponding to the overflow data according to the absolute value of the first difference and a preset standard single data amount;

[0104] Step S422: correct the actual number of data containers according to the overflowed number of data containers to obtain the target number of data containers.

[0105] The first difference absolute value S1 is calculated according to the total data volume Q1 and the standard total data volume Q0;

[0106] S1 = |Q1-Q0|;

[0107] The first difference absolute value is the overflow data;

[0108] determining the number of data containers according to the overflow data;

[0109] Data container quantity = (overflow data / standard single data quantity);

[0110] Among them, the value of (overflow data / standard single data volume) is rounded up;

[0111] The standard total data volume is the data volume corresponding to the data container group when it meets the actual evaluation accuracy index; the standard single data volume is the data volume corresponding to any data container when it meets the actual evaluation accuracy index.

[0112] Specifically, the embodiments of the present invention accurately identify whether the data container group is in a "normal state" or an "overflow state" by comparing the total data volume with a preset standard total data volume; and when the data container group is in an "overflow state", it can calculate the number of data containers that need to be added according to the overflow data volume, and adjust the number of target data containers accordingly; dynamically adapt to changes in data flow; when calculating the number of overflow data containers, round up is used to ensure that the overflow data can be fully accommodated to avoid data loss; it can effectively improve the adaptability to data changes and improve the reliability and stability of data processing.

[0113] Specifically, the process of obtaining the second comparison result by comparing the data transmission speed of the data container receiving the data with the preset standard data transmission speed in this embodiment is as follows:

[0114] Step S511, when the data transmission speed of the data container receiving the data is less than or equal to the standard data transmission speed, the second comparison result is that the data container transmission load is normal;

[0115] Step S512: When the data transmission speed of the data container receiving the data is greater than the standard data transmission speed, the second comparison result is that the data container transmission load is too large.

[0116] Specifically, the process of determining the designated collection time according to the second comparison result in this embodiment is as follows:

[0117] When the second comparison result is that the transmission load of the data container is too large, determining the transmission abnormality level of the data container according to the data transmission speed change rate combined with a preset second evaluation value;

[0118] Determining the designated collection time according to the transmission abnormality level;

[0119] Wherein, the data transmission speed change rate is the absolute value of the difference between the data transmission speed and the standard data transmission speed; the specified acquisition time is the time for delaying the data collector to collect data; the data transmission speed is the amount of data received by the data container per unit time;

[0120] If the data transmission speed change rate is less than or equal to the second evaluation value, the transmission abnormality level is determined to be level one;

[0121] If the data transmission speed change rate is greater than the second evaluation value and the data transmission speed is less than the standard data transmission speed, the transmission abnormality level is determined to be level 2;

[0122] If the data transmission speed change rate is greater than the second evaluation value and the data transmission speed is greater than the standard data transmission speed, a transmission failure is determined and a first alarm signal is issued;

[0123] In this embodiment, the standard data transmission speed is that the amount of data transmitted in one data transmission cycle is 98% of the total amount of data transmitted; the setting of the second evaluation value is affected by the actual evaluation accuracy index.

[0124] Specifically, the embodiment of the present invention can quickly find out whether the data transmission load is too large by comparing the data transmission speed with the preset standard in real time; it is helpful to timely find potential network or system bottlenecks, thereby avoiding performance problems caused by overload; by setting different evaluation values ​​to determine different transmission abnormality levels, this hierarchical processing can manage data collection more finely; different response strategies can be adopted for different levels of abnormalities. When it is detected that the transmission load is too large, the collection time can be dynamically adjusted according to the transmission speed change rate and the preset evaluation value, which can reduce data collection during the peak period of data transmission and avoid causing greater pressure; by setting an alarm mechanism, when the transmission speed is abnormal, an alarm signal can be issued to notify the system administrator or automatically start the emergency program, thereby minimizing the loss caused by transmission abnormality; by detecting and responding to changes in data transmission speed in advance, it is helpful to maintain stable operation and prevent crashes or data loss caused by data backlog; optimize data collection efficiency, reduce unnecessary data transmission and processing, thereby improving the efficiency of overall data management; monitor the data transmission status in real time, dynamically adjust the data collection strategy through intelligent judgment and hierarchical processing, and have an early warning mechanism to improve the efficiency of data management.

[0125] Specifically, the process of correcting the designated acquisition time according to the data transmission speed change rate combined with the transmission integrity in this embodiment is as follows:

[0126] Step S521, determining the data transmission quality according to the fourth difference absolute value combined with a preset fourth evaluation value;

[0127] Step S522, correcting the designated acquisition time according to the data transmission speed change rate combined with the data transmission quality to obtain an actual acquisition time;

[0128] The fourth difference absolute value is an absolute value of a difference between the transmission integrity and a preset standard integrity.

[0129] Specifically, the process of issuing control instructions according to each comparison result to switch the data acquisition mode in this implementation is as follows:

[0130] When the total data volume is in a normal state, a first control instruction is issued; the first control instruction is to switch the acquisition mode to a real-time acquisition mode;

[0131] When the total data volume is in an overflow state, switching the collection mode to a timed automatic collection mode or a designated time collection mode according to the transmission abnormality level;

[0132] When the transmission abnormality level is level one, the mode is switched to the timed automatic collection mode; when the transmission abnormality level is level two, the mode is switched to the designated time collection mode.

[0133] The real-time collection mode is to collect the power data of the power meter in real time; the timed automatic collection mode is to automatically collect the power data of the power meter according to a constant time interval; the designated time collection mode is to collect the power data of the power meter within a designated time according to the designated collection time.

[0134] Specifically, the embodiments of the present invention evaluate the data transmission quality by combining the data transmission speed change rate and the transmission integrity, so as to have a more comprehensive understanding of the data transmission situation, focusing not only on the speed but also on the integrity of the data, thereby ensuring that the collected data is both fast and accurate; the collection time is corrected according to the data transmission quality and the speed change rate, so as to dynamically adapt to the changes in data transmission, and ensure that the data collection time is reasonably adjusted without affecting the data quality, thereby improving the efficiency of data collection; according to the state of the total data volume and the transmission abnormality level, it is possible to flexibly switch to the real-time collection mode, the timed automatic collection mode or the specified time collection mode, which helps to optimize the use of resources, reduce unnecessary data processing, and improve the adaptability of data collection. The real-time acquisition mode can ensure that the data reflects the current power data status as much as possible, while the scheduled automatic acquisition and the designated time acquisition can be carried out according to the preset strategy, avoiding the inaccuracy caused by data backlog; by issuing control instructions, the acquisition mode can be switched in time when abnormal data transmission is detected, which helps to prevent data overflow or loss, and can respond to the change of status in time to ensure the continuity and stability of data acquisition; by intelligently switching the acquisition mode, the resource allocation can be optimized according to the current load and data transmission status, unnecessary resource consumption can be reduced, and the overall performance can be improved; the acquisition time can be dynamically adjusted according to the actual data transmission situation, and the efficiency and accuracy of data acquisition can be improved through flexible data acquisition mode switching.

[0135] Specifically, see Figure 3 As shown, it is a schematic diagram of the structure of an information processing system for a power data collector, an information processing system for a power data collector, comprising:

[0136] The acquisition module 1 includes a plurality of data collectors for acquiring the overall power data;

[0137] A classification module 2, connected to the acquisition module, is used to classify the overall power data according to user categories and determine the data level and determine the data score of each level of power data in combination with the historical operation data, and send the classified power data of each level to the corresponding data container group respectively;

[0138] A data container module 3, connected to the classification module, includes a plurality of data container groups, each of which is used to receive the corresponding classified grade power data and determine the actual number of data containers;

[0139] The processing module 4 is connected to the data container module, and includes a first processing unit, a second processing unit, and a third processing unit, and is used to compare the total amount of data received by each data container group with a preset standard total amount of data in each data container group to obtain the first comparison result and distribute the data received by the data container group according to the first comparison result, and to compare the data transmission speed of the data received by each data container with a preset standard data transmission speed to obtain the second comparison result and calculate the designated collection time according to the second comparison result, and to correct the designated collection time according to the data transmission speed change rate combined with the transmission integrity;

[0140] The control module 5 is connected to the processing module and is used to send the control instruction to the acquisition module and switch the data acquisition mode according to the comparison result.

[0141] Specifically, the power data includes at least voltage, current and power, as well as total and phase active power, power factor, phase voltage, phase current, frequency and other operating parameters. The error of the collected power data does not exceed ±1%.

[0142] The data collection modes for collecting power data include real-time collection mode, timed automatic collection mode and specified time collection mode, among which,

[0143] The real-time collection mode is that the data collector collects the power data of the electric energy meter in real time;

[0144] The timed automatic collection mode is that the data collector automatically collects the power data of the electric energy meter according to the calculated constant time interval; specifically, it supports the automatic collection of 1-minute periodicity and other constant time interval periods;

[0145] The designated time collection mode is to collect the power data of the electric energy meter within the designated time according to the calculated designated collection time when the data transmission load of the power line communication system is too large.

[0146] By setting different data collection modes, the best data collection method can be adopted for different data volumes and data transmission conditions, which helps to improve data collection efficiency.

[0147] Specifically, in this embodiment, when the electric energy meter does not support daily freezing, monthly freezing and curve data, or the data freezing time is inconsistent due to the clock factors of the electric energy meter, the data collector automatically reads the real-time data or frozen data of the electric energy meter as the frozen electricity quantity according to the set user type.

[0148] Specifically, user categories include residential users and enterprise users, among which enterprise users include production enterprise users and regular enterprise users, among which the power data of production enterprise users is first-level power data, the power data of regular enterprise users is second-level power data, and the power data of residential users is third-level power data.

[0149] By classifying data according to user categories and determining data levels, it helps to improve the accuracy of data collection and data processing.

[0150] Specifically, the data container module includes several data container groups, each of which receives corresponding classified power data, and the number of data containers in each data container group is determined according to the data level and the data volume of each data category.

[0151] By determining the number of data containers in each data container group according to the data level and the amount of data in each data category, data processing can be performed on multiple data containers at the same time, ensuring data processing time and improving data processing efficiency.

[0152] Specifically, if Figure 4 As shown in the schematic diagram of the processing module structure, the processing module includes a first processing unit 401, a second processing unit 402 and a third processing unit 403, wherein Figure 5 As shown in the structural diagram of the first processing unit, the first processing unit includes a first comparator 4011, a first calculator 4012 and a distributor 4013. The first comparator is used to compare the amount of data received by each data container with the standard total amount of data preset in each data container and obtain a first comparison result, including:

[0153] When the amount of data received by the data container is less than or equal to the standard total amount of data, the first comparator obtains a first comparison result that the amount of data in the data container is in a normal state;

[0154] When the amount of data received by the data container exceeds the standard total amount of data, the first comparator obtains a first comparison result that the amount of data in the data container is in an overflow state;

[0155] A distributor is used to distribute the data received by the data container according to the first comparison result. When the first comparison result shows that the data container is in an overflow state, the data corresponding to the difference data amount calculated by the first calculator that the amount of data received by the data container exceeds the standard total data amount is distributed to a new data container in the data container group; the number of data containers in the data container module is scalable.

[0156] Specifically, if Figure 6As shown in the structural diagram of the second processing unit, the second processing unit includes a second comparator 4021 and a second calculator 4022, wherein the second comparator is used to compare the data transmission speed of the data container receiving the data with the preset standard data transmission speed to obtain a second comparison result, including:

[0157] When the data transmission speed of the data container receiving the data is less than or equal to the preset standard data transmission speed, the second comparator obtains a second comparison result that the data transmission load is normal;

[0158] When the data transmission speed of the data container receiving the data exceeds the preset standard data transmission speed, the second comparator obtains a second comparison result that the data transmission load is too large;

[0159] The second calculator is used to calculate the difference between the data transmission speed of the data container receiving the data and the standard data transmission speed according to the second comparison result, and calculate the specified collection time according to the speed transmission speed difference; the specified collection time is the time for delaying the data collector to collect data; the data transmission speed of the received data is the amount of data received by the data container per unit time.

[0160] Specifically, if Figure 7 As shown in the schematic diagram of the structure of the third processing unit, the third processing unit includes a third calculator 4031 and a regulator 4032, wherein the third calculator is used to calculate the adjustment coefficient of the specified acquisition time according to the data transmission speed change rate.

[0161] When the data transmission speed change rate is 0, the adjustment coefficient of the specified acquisition time is determined to be 1;

[0162] When the data transmission speed change rate is greater than 0, it is determined that the adjustment coefficient of the specified acquisition time is positively correlated with the data transmission speed change rate and the adjustment coefficient of the specified acquisition time is greater than 1;

[0163] When the data transmission speed change rate is less than 0, the adjustment coefficient of the specified acquisition time is negatively correlated with the absolute value of the data transmission speed change rate and the adjustment coefficient of the specified acquisition time is less than 1;

[0164] The data transmission speed change rate is the change in data transmission speed per unit time.

[0165] Specifically, the regulator is used to adjust the designated collection time of the data collector according to the adjustment coefficient, including: when the adjustment coefficient of the designated collection time is 1, the regulator does not adjust the designated collection time, and the designated collection time is a constant time interval;

[0166] When the adjustment coefficient of the designated collection time is greater than 1, the regulator adjusts the designated collection time to the first designated collection time;

[0167] When the adjustment coefficient of the designated acquisition time is less than 1, the regulator adjusts the designated acquisition time to the second designated acquisition time.

[0168] In this embodiment, the first designated acquisition time is 25 ms; the second designated acquisition time is 20 ms.

[0169] Specifically, the control module is used to send control instructions to the acquisition module and switch the data acquisition mode according to the processing results, including:

[0170] When the amount of data in the data container is in a normal state, the control module sends a first control instruction to the acquisition module; the first control instruction is to switch the acquisition mode to a real-time acquisition mode;

[0171] When the amount of data in the data container is in an overflow state and the adjustment coefficient of the designated acquisition time is 1, the control module sends a second control instruction to the acquisition module; the second control instruction is to switch the acquisition mode to a timed automatic acquisition mode;

[0172] When the amount of data in the data container is in an overflow state and the adjustment coefficient of the specified acquisition time is not 1, the control module sends a third control instruction to the acquisition module; the third control instruction is to switch the acquisition mode to the specified time acquisition mode.

[0173] Specifically, data transmission is carried out using specified encryption technology.

[0174] Specifically, in this embodiment, when the main frequency of the power line communication system is 192MHz, the task switching time is required to be no higher than 10μs, the channel communication time is no higher than 50μs, the semaphore shuffling time is no higher than 10μs, the kernel trap time is no higher than 10μs, and the signal reception time is no higher than 10ms.

[0175] Specifically, in this embodiment, when the power meter loses power or the system task is abnormal, it should not have a destructive impact on the data collection of the data collector, such as system crash, stored data, file damage or loss, and inability to restart after power is restored.

[0176] Specifically, in this embodiment, sensitive data should not be transmitted without authorization, and sensitive data transmitted after authorization should be transmitted using encryption technology.

[0177] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0178] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An information processing method for a power data collector, characterized in that: include: Collect overall power data; Classifying the overall power data according to user categories to obtain power data of each level, determining data scores of the level power data in combination with historical operation data, and sending the level power data to corresponding data container groups respectively; Receiving the graded power data respectively and determining the actual number of data containers of each data container group according to the data score and obtaining the corresponding total data volume; For any data container group, comparing the total data amount received by the data container group with a preset standard total data amount to obtain a first comparison result and correcting the actual data container quantity according to the first comparison result to obtain a target data container quantity; For any data container in any data container group, a second comparison result is obtained by comparing the data transmission speed of the data received by the data container with a preset standard data transmission speed, and a designated collection time is determined according to the second comparison result, and the designated collection time is corrected according to the data transmission speed change rate combined with the transmission integrity; According to each comparison result, a control instruction is issued to switch the data acquisition mode; The process of classifying the overall power data according to user categories to obtain power data of each level and determining the data score of the power data of each level in combination with historical operation data is as follows: Identify historical operation data, mark abnormal operation data, and record the number of abnormalities; Determine the data score according to the classification result combined with the number of abnormalities; The user categories include residential users and enterprise users, wherein the enterprise users include production enterprise users and regular enterprise users, the power data of the production enterprise users is first-level power data, the power data of the regular enterprise users is second-level power data, and the power data of the residential users is third-level power data; The process of determining the actual number of data containers of each data container group according to the data score is as follows: Determine, according to the absolute value of the third difference and a preset third evaluation value, that the value of the actual number of data containers is the first actual number, or the second actual number, or the third actual number; Wherein, the third difference absolute value is the absolute value of the difference between the data score and the preset standard score; The process of determining the designated acquisition time according to the second comparison result is: When the second comparison result is that the transmission load of the data container is too large, determining the transmission abnormality level of the data container according to the data transmission speed change rate combined with a preset second evaluation value; Determining the designated collection time according to the transmission abnormality level; Wherein, the data transmission speed change rate is the absolute value of the difference between the data transmission speed and the standard data transmission speed; the specified acquisition time is the time for delaying the data collector to collect data; the data transmission speed is the amount of data received by the data container per unit time; The process of correcting the specified acquisition time according to the data transmission speed change rate combined with the transmission integrity is as follows: Determining the data transmission quality according to the fourth difference absolute value combined with a preset fourth evaluation value; Correcting the designated acquisition time according to the data transmission speed change rate combined with the data transmission quality to obtain an actual acquisition time; The fourth difference absolute value is an absolute value of a difference between the transmission integrity and a preset standard integrity.

2. The information processing method for a power data collector according to claim 1, characterized in that: The process of comparing the total data amount received by any data container group with a preset standard total data amount to obtain a first comparison result is: When the total amount of data received by the data container group is less than or equal to the standard total amount of data, the first comparison result is that the data container group is in a normal state; When the total amount of data received by the data container group is greater than the standard total amount of data, the first comparison result is that the data container group is in an overflow state.

3. The information processing method for a power data collector according to claim 2, characterized in that: The process of correcting the actual number of data containers according to the first comparison result to obtain the target number of data containers is as follows: When the first comparison result is that the data container group is in an overflow state, determining the number of overflow data containers corresponding to the overflow data according to the absolute value of the first difference and a preset standard single data amount; Correcting the actual number of data containers according to the overflowed number of data containers to obtain the target number of data containers; The first absolute value of the difference is the absolute value of the difference between the total data volume and the standard total data volume.

4. The information processing method for a power data collector according to claim 3, characterized in that: The process of obtaining a second comparison result by comparing the data transmission speed of the data container receiving the data with the preset standard data transmission speed is as follows: When the data transmission speed at which the data container receives data is less than or equal to the standard data transmission speed, the second comparison result is that the data container transmission load is normal; When the data transmission speed of the data container receiving data is greater than the standard data transmission speed, the second comparison result is that the data container transmission load is too large.

5. The information processing method for power data collector according to claim 4, characterized in that: The process of issuing control instructions according to each comparison result to realize the switching of the data acquisition mode is as follows: When the total data volume is in a normal state, a first control instruction is issued; the first control instruction is to switch the acquisition mode to a real-time acquisition mode; When the total data volume is in an overflow state, switching the collection mode to a timed automatic collection mode or a designated time collection mode according to the transmission abnormality level; Among them, the real-time collection mode is to collect the power data of the power meter in real time; the timed automatic collection mode is to automatically collect the power data of the power meter according to a constant time interval; the designated time collection mode is to collect the power data of the power meter within a designated time according to the designated collection time.

6. An information processing system for a power data collector, based on the information processing method for a power data collector according to any one of claims 1 to 5, characterized in that: include: A collection module, including a plurality of data collectors, for collecting the overall power data; a classification module, connected to the acquisition module, for classifying the overall power data according to user categories and determining data levels and determining data scores of power data of each level in combination with the historical operation data, and sending the classified power data of each level to corresponding data container groups respectively; A data container module, connected to the classification module, including a plurality of data container groups, each of which is used to receive the corresponding classified grade power data and determine the actual number of data containers; The classification module identifies the historical operation data, marks the abnormal operation data as an abnormal type, and records the number of occurrences of the abnormal type to obtain the number of abnormalities, and calculates the data score according to the classification result combined with the number of abnormalities; the data container module determines the value of the actual number of data containers as the first actual number, the second actual number, or the third actual number according to the absolute value of the third difference combined with a preset third evaluation value; a processing module connected to the data container module, comprising a first processing unit, a second processing unit and a third processing unit, configured to compare the total amount of data received by each data container group with a preset standard total amount of data in each data container group to obtain the first comparison result and distribute the data received by the data container group according to the first comparison result, compare the data transmission speed of the data received by each data container with a preset standard data transmission speed to obtain the second comparison result and calculate the designated collection time according to the second comparison result, and modify the designated collection time according to the data transmission speed change rate combined with the transmission integrity; The processing module obtains a first comparison result that the total amount of data in the data container is in a normal state when the total amount of data received by the data container is less than or equal to the standard total amount of data; the first comparator obtains a first comparison result that the total amount of data in the data container is in an overflow state when the total amount of data received by the data container exceeds the standard total amount of data; the processing module obtains a second comparison result that the data volume transmission load is normal when the data transmission speed of the data received by the data container is less than or equal to the preset standard data transmission speed, and obtains a second comparison result that the data volume transmission load is too large when the data transmission speed of the data received by the data container exceeds the preset standard data transmission speed; and calculates the difference between the data transmission speed of the data received by the data container and the standard data transmission speed according to the second comparison result, and calculates the specified acquisition time according to the speed transmission speed difference; Among them, when the data transmission speed change rate is 0, the adjustment coefficient of the specified acquisition time is determined to be 1; when the data transmission speed change rate is greater than 0, the adjustment coefficient of the specified acquisition time is positively correlated with the data transmission speed change rate and the adjustment coefficient of the specified acquisition time is greater than 1; when the data transmission speed change rate is less than 0, the adjustment coefficient of the specified acquisition time is negatively correlated with the absolute value of the data transmission speed change rate and the adjustment coefficient of the specified acquisition time is less than 1; when the adjustment coefficient of the specified acquisition time is 1, the specified acquisition time is not adjusted, and the specified acquisition time is a constant time interval; when the adjustment coefficient of the specified acquisition time is greater than 1, the specified acquisition time is adjusted to the first specified acquisition time; when the adjustment coefficient of the specified acquisition time is less than 1, the specified acquisition time is adjusted to the second specified acquisition time; The designated collection time is the time for the delayed data collector to collect data; the data transmission speed of the received data is the amount of data received by the data container per unit time; The control module is connected to the processing module and is used to send the control instruction to the acquisition module and switch the data acquisition mode according to the comparison result.

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