CN116456297B - Data acquisition method based on 5G network - Google Patents
Data acquisition method based on 5G network Download PDFInfo
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- CN116456297B CN116456297B CN202310727609.8A CN202310727609A CN116456297B CN 116456297 B CN116456297 B CN 116456297B CN 202310727609 A CN202310727609 A CN 202310727609A CN 116456297 B CN116456297 B CN 116456297B
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000005540 biological transmission Effects 0.000 claims abstract description 20
- 230000004044 response Effects 0.000 claims description 52
- 238000001514 detection method Methods 0.000 claims description 41
- 230000011218 segmentation Effects 0.000 claims description 37
- 238000012423 maintenance Methods 0.000 claims description 36
- 238000013523 data management Methods 0.000 claims description 23
- 230000003449 preventive effect Effects 0.000 claims description 15
- 230000002035 prolonged effect Effects 0.000 claims description 7
- 238000004904 shortening Methods 0.000 claims description 4
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 abstract description 6
- 238000012545 processing Methods 0.000 abstract description 2
- 230000000694 effects Effects 0.000 description 8
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- 238000005192 partition Methods 0.000 description 2
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention relates to the technical field of data processing, in particular to a data acquisition method based on a 5G network, which solves the problems: when a data transmission channel of the power distribution equipment fails, the data acquisition system does not correct historical monitoring data of the power distribution equipment.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data acquisition method based on a 5G network.
Background
In order to guarantee stable operation of the power grid, electric energy monitoring is needed to be carried out on each electric power device in the power grid through a control center, when monitoring data of the electric energy are abnormal, timely maintenance is needed to be carried out on the power distribution device, therefore, whether data acquisition of a power distribution system is accurate or not is a key for guaranteeing stable operation of the power grid, real-time monitoring can lead to huge data quantity in an actual data acquisition process, a data transmission channel of the power distribution device is prone to faults, periodical detection can easily lead to timely transmission of acquired data, and when faults are found, the probability of deviation of the data in the previous period can be greatly increased, so that historical monitoring data of the power distribution device are inaccurate.
Disclosure of Invention
The invention solves the problems that: when the data transmission channel of the power distribution equipment fails, the data acquisition system cannot correct the historical monitoring data of the power distribution equipment.
In order to solve the above problems, an embodiment of the present invention provides a data acquisition method based on a 5G network, where the data acquisition method includes: establishing a data management library, and adding power distribution equipment in an electric power enterprise into the data management library; dividing acquisition areas according to the placement positions of the power distribution equipment, and setting the number of first acquisition nodes according to the types of the power distribution equipment in each acquisition area; setting a second acquisition node on each power distribution device, periodically acquiring the operation parameters of each second acquisition node to obtain a second acquisition result, and transmitting the second acquisition result to the first acquisition node; the first acquisition node compares the number of the received second acquisition results with the number of the second acquisition nodes to obtain a data number difference value, and judges whether the second acquisition results need to be corrected according to the data number difference value; when the number of the second acquisition results is equal to the number of the second acquisition nodes, the second acquisition results do not need to be corrected, the first acquisition nodes output first acquisition results according to the second acquisition results, and the first acquisition results are input into the data management library; when the number of the second acquisition results is smaller than that of the second acquisition nodes, the first acquisition nodes collect the second acquisition results again in the first target time, and the response time of collection is prolonged; if the number of the second acquisition results is equal to the number of the second acquisition nodes in the response time, recording the response time length, and correcting the second acquisition results according to the response time length; if the number of the second acquisition results is still smaller than the number of the second acquisition nodes in the response time, marking the second acquisition nodes as loss nodes, positioning the loss nodes through an acquisition area, and sending maintenance prompts for the loss nodes; and after the maintenance of the loss node is finished, acquiring the operation parameters of the loss node to obtain a third acquisition result, and judging whether the second acquisition result sent by the loss node in the previous period needs to be corrected according to the third acquisition result.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the setting of a plurality of second collection nodes can let the second collection result that the detection obtained and distribution equipment one-to-one, let the second collection result can audio-visual reflect the running condition of certain distribution equipment, the setting of first collection node can integrate a plurality of second collection results, and transmit to the data management base, the partition of cooperation collection region simultaneously classifies different second collection nodes, realize regional management, statistics of data number difference, the audio-visual data transmission that shows how many second collection nodes have appeared the problem, response time's setting has avoided because the fluctuation of system has carried out the interference that the collection work brought, the accuracy of maintenance judgement has been promoted, and revise the second collection result of jacket cycle after loss node maintenance is accomplished, avoid the second collection result of last cycle to receive the influence of transmission fault, the further accuracy that has promoted the data collection result.
In one embodiment of the present invention, the collection areas are divided according to the placement positions of the power distribution devices, and the number of the first collection nodes is set according to the placement density of the power distribution devices in each collection area, which specifically includes: dividing acquisition areas according to the occupied area of the power enterprise and acquiring the number of distribution equipment in each acquisition area; classifying the grades of the power distribution equipment according to the importance degree of the power distribution equipment; and selecting the number of the first acquisition nodes according to the ratio of the distribution equipment of different grades in the acquisition area.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: through dividing the collection area, can carry out quick location to the loss node, the quick maintenance of loss node of being convenient for, the setting of dividing distribution equipment according to the importance degree can let the overall arrangement of first collection node more reasonable, gathers important data through the node of difference, has promoted data acquisition's accuracy, also becomes more convenient in the aspect of data management.
In one embodiment of the present invention, a second collection node is set on each power distribution device, and the operation parameters collected by each second collection node are periodically sent to the first collection node to obtain a second collection result, which specifically includes: selecting different period durations according to different levels of the power distribution equipment; dividing the period duration into a plurality of detection time periods, and selecting a target time period for detection in each detection time period to obtain a segmentation parameter result; and adding and averaging the results of each segment parameter to obtain a second acquisition result.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: different period durations are selected for different equipment, different data acquisition frequencies can be selected for the distribution equipment with different importance degrees, the data acquisition quantity is reduced on the premise of ensuring that the data samples are enough, the second acquisition result can be comprehensively considered according to each period in the period through the arrangement of a plurality of detection time periods, the anti-interference capability of the second acquisition result is improved, the selection of the target time period is carried out, the time for acquiring the operation parameters of the distribution equipment is reduced, the acquired data quantity is reduced, and the operation parameters of the distribution equipment can be accurately acquired.
In one embodiment of the present invention, if the number of the second acquisition results is equal to the number of the second acquisition nodes in the response time, recording the response time length, and correcting the second acquisition results according to the response time length, specifically including: calculating the ratio of the response time length to the response time to obtain a first ratio; according to the first ratio, converting the influence coefficient of the response time length in the target time period; and correcting the second acquisition result according to the influence coefficient.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the calculation of the first ratio can intuitively reflect the delay condition of the second acquisition node when the second acquisition result is transmitted, and the setting of the influence coefficient fully considers the fluctuation of the second acquisition result which can occur in the current delayed working environment, so that the second acquisition result is more accurate.
In one embodiment of the present invention, scaling the influence coefficient of the response time length in the target time period according to the first ratio specifically includes: converting the interference duration of the response duration in the period duration according to the first ratio; and calculating an influence coefficient according to the interference duration and the time length of the target time period.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: and calculating the interference duration, wherein when the operation parameters of different power distribution equipment are collected, the calculation of the influence coefficient can be matched with the target time period for detection, so that the accuracy of a second parameter result is further improved while the detection data sample is reduced as much as possible.
In one embodiment of the present invention, the correcting the second acquisition result according to the influence coefficient specifically includes: judging whether an interference phenomenon occurs in a target time period according to the segmentation parameter result; if yes, calculating an actual value of the segmentation parameter result according to the influence coefficient to obtain a segmentation actual result, and correcting a second acquisition result according to the segmentation actual result; if not, the second acquisition result does not need to be corrected.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: when the transmission channel fails, the running parameters may also have larger fluctuation in value, so that the segmentation parameter results need to be screened, the accuracy of the segmentation parameter results is ensured, and finally the segmentation actual results are corrected through influence coefficients, so that the accuracy of the second acquisition results is further improved.
In one embodiment of the present invention, after maintenance of the loss node is completed, the operation parameters of the loss node are collected to obtain a third collection result, and whether the second collection result sent by the loss node in the previous period needs to be corrected is determined according to the third collection result, which specifically includes: when the difference value between the third acquisition result and the second acquisition result of the previous period is larger than the first threshold value, replacing the second acquisition result of the previous period with the third acquisition result; when the difference value between the third acquisition result and the second acquisition result of the previous period is smaller than or equal to the first threshold value, the second acquisition result does not need to be corrected.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: after the maintenance is finished, the data before the maintenance is corrected, so that the influence of the maintenance on the accuracy of data acquisition is further reduced, and the data acquisition result is more accurate.
In one embodiment of the present invention, after the maintenance of the loss node, the method further includes: performing preventive detection on each second acquisition node under the first acquisition node containing the loss node; when the second acquisition node passes the preventive detection, the second acquisition result does not need to be processed; and when the second acquisition node does not pass the preventive detection, marking the second acquisition result and displaying the second acquisition result in the first acquisition result corresponding to the second acquisition result. Performing preventive detection on each second acquisition node under the first acquisition node containing the loss node, specifically including: shortening the period time according to different grades of the power distribution equipment; the number of detection time periods is increased, and the time length of the target time period is prolonged.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: through preventive detection, when one of the second collection nodes breaks down, other second collection nodes are checked timely, large-area transmission abnormality is avoided, normal maintenance and management of power distribution equipment are avoided, and stability of data collection work is improved.
Drawings
For a clearer description of the technical solutions of the embodiments of the present invention, the drawings to be used in the description of the embodiments will be briefly introduced, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art;
FIG. 1 is a flow chart of a data acquisition method of the present invention;
FIG. 2 is a second flowchart of the data acquisition method of the present invention;
FIG. 3 is a third flowchart of a data acquisition method according to the present invention;
FIG. 4 is a flow chart of a data collection method according to the present invention;
FIG. 5 is a fifth flowchart of a data acquisition method of the present invention;
Detailed Description
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
[ first embodiment ]
Referring to fig. 1 to 3, in a specific embodiment, the present invention provides a data collection method based on a 5G network, where the data collection method includes:
s100, establishing a data management library, and adding power distribution equipment in an electric power enterprise into the data management library;
s200, dividing acquisition areas according to the placement positions of the power distribution equipment, and setting the number of first acquisition nodes according to the types of the power distribution equipment in each acquisition area;
s300, setting a second acquisition node on each power distribution device, periodically acquiring the operation parameters of each second acquisition node to obtain a second acquisition result, and transmitting the second acquisition result to the first acquisition node;
s400, the first acquisition node compares the number of the received second acquisition results with the number of the second acquisition nodes to obtain a data number difference value, and judges whether the second acquisition results need to be corrected according to the data number difference value;
s410, when the number of the second acquisition results is equal to the number of the second acquisition nodes, the second acquisition results do not need to be corrected, the first acquisition nodes output first acquisition results according to the second acquisition results, and the first acquisition results are input into a data management library;
s420, when the number of the second acquisition results is smaller than that of the second acquisition nodes, the first acquisition nodes collect the second acquisition results again in the first target time, and the response time of collection is prolonged;
s421, if the number of the second acquisition results is equal to the number of the second acquisition nodes in the response time, recording the response time length, and correcting the second acquisition results according to the response time length;
s422, if the number of the second acquisition results is still smaller than the number of the second acquisition nodes in the response time, marking the second acquisition nodes as loss nodes, positioning the loss nodes through an acquisition area, and sending maintenance prompts for the loss nodes;
s423, after maintenance of the loss node is completed, the operation parameters of the loss node are collected to obtain a third collection result, and whether the second collection result sent by the loss node in the last period needs to be corrected is judged according to the third collection result.
In step S200, the collection areas are planned according to the layout of the power enterprise, so that the overall distribution equipment is convenient to manage, the number of the first collection nodes is related to the importance degree of the distribution equipment, for example, the functions of part of the distribution equipment are single, the relevance degree of other distribution equipment is not high, at this moment, the importance degree of the distribution equipment is low, at least one first collection node is arranged in each collection area, the number of the first collection nodes is increased according to the importance degree of the distribution equipment, and the distribution equipment of different function types is generally classified according to the functions of different distribution equipment, and one first collection node is arranged.
In step S300, each second collection node is in signal connection with its corresponding first collection node, where the second collection nodes are used to collect operation parameters of the power distribution device, where the operation parameters are main operation parameters of the power distribution device, typically voltage values and current values, and different operation parameters may also be collected by setting a plurality of second collection nodes, where the second collection nodes send all collected data to the first collection nodes.
In step S400, the first collection node classifies different operation parameters, stores the corresponding operation parameters in the data management library, and before storing the operation parameters in the data management library, needs to judge the accuracy of the second collection results, firstly judges according to the number of the second collection results today, each second collection node corresponds to one second collection result, when the number of the second collection results is different from the number of the second collection nodes, it is indicated that the data has a fault in the transmission process, and the data is not timely transmitted to the first collection node in the period, at this time, the first collection node needs to calculate the data number difference, and judges whether the second collection result needs to be corrected according to the data number difference.
For example, the number of the second collection nodes is 100, and in this period, the number of the second collection results received by the first collection node is 98, which means that the data collected by two second collection nodes are not transmitted to the first collection node, and the difference value of the number of the data at this time is 2.
In step S410, when each second collection node collects a second collection result and transmits the second collection result to the first collection node, the first collection node integrates the second collection results, classifies the second collection results according to different collected operation parameters, and finally transmits the classified results to the data management database.
And when the second acquisition node is used for acquiring the current value of the power distribution equipment, the current value of the power distribution equipment in the current period is stored in the data management library.
In step S420, when the data number difference occurs, the second acquisition results are collected again, so as to avoid the influence caused by the system fluctuation, and the response time is prolonged in the process of collecting again in the first target time, and is the time of the first acquisition node to collect the second acquisition result of the period, for example, when the data number difference does not occur, the response time is within 1 second after the end of the current period, and when collecting again, the response time is prolonged to within 2 seconds after the end of collecting again.
It should be noted that, the first target time is typically within 5 seconds of the occurrence of the data number difference, and the time length may be modified according to different power distribution devices.
In step S421, when the number of the second collected results after the re-collection is the same as the number of the second collection nodes, it is indicated that the difference in the number of the data in the previous period is caused by the system fluctuation, and the transmission channel or the hardware for collecting the data is not damaged, but in order to reduce the interference caused by the fluctuation to the second collected results, the response time needs to be recorded, and it is determined whether the second collected results need to be corrected.
In step S422, the correct number of second collection results are still not collected within the response time, the second collection nodes that do not send the second collection results are marked as loss nodes, the collection area where the second collection nodes are located is determined according to the first collection nodes, and then the distribution equipment with transmission faults is locked according to the location of the loss nodes.
In step S423, after locating the power distribution device corresponding to the loss node, the staff overhauls the transmission channel of the power distribution device, overhauls until the first collection node can receive the second collection result sent by the second collection node, diagnoses and detects the loss node after the overhauling is finished, the diagnosis and detection time is a period, the second collection node collects the third collection result in the period and uploads the third collection result to the first collection node, the first collection node judges whether the second collection result is affected in the last collection period according to the difference between the second collection result and the third collection result, if so, the corresponding data in the data management base needs to be corrected, the accuracy of the operation parameters corresponding to the power distribution device in the data management base is ensured, if not affected, the second collection node resumes the collection mode before maintenance, and continues to collect the data of the device.
The setting of a plurality of second collection nodes can let the second collection result that the detection obtained and distribution equipment one-to-one, let the second collection result can audio-visual reflect the running condition of certain distribution equipment, the setting of first collection node can integrate a plurality of second collection results, and transmit to the data management base, the partition of cooperation collection region simultaneously classifies different second collection nodes, realize regional management, statistics of data number difference, the audio-visual data transmission that shows how many second collection nodes have appeared the problem, response time's setting has avoided because the fluctuation of system has carried out the interference that the collection work brought, the accuracy of maintenance judgement has been promoted, and revise the second collection result of jacket cycle after loss node maintenance is accomplished, avoid the second collection result of last cycle to receive the influence of transmission fault, the further accuracy that has promoted the data collection result.
[ second embodiment ]
Referring to fig. 4, in a specific embodiment, the collection areas are divided according to the placement positions of the power distribution devices, and the number of the first collection nodes is set according to the placement density of the power distribution devices in each collection area, which specifically includes:
s210, dividing acquisition areas according to the occupied area of the power enterprise and acquiring the number of power distribution equipment in each acquisition area;
s220, classifying the grades of the power distribution equipment according to the importance degree of the power distribution equipment;
s230, selecting the number of the first acquisition nodes according to the ratio of the distribution equipment of different grades in the acquisition area.
In step S210, the collection area is generally divided according to floors or buildings, for example, one floor is a collection area, or one building is a collection area, and the size of the collection area is generally related to the number of power distribution devices in the area, and is not related to the size of the collection area.
In step S220, the power distribution devices may be classified into important power distribution devices, general power distribution devices, and edge power distribution devices according to the degree of importance.
In step S230, when an important power distribution device is collected, the important power distribution device, the general power distribution device and the edge power distribution device associated with the important power distribution device are all located under the same first collection node, when there are a plurality of important power distribution devices with different association relations, the number of the first collection nodes is correspondingly increased, in general, each first collection node corresponds to three association relations of different important power distribution devices, and when the association relation is complex, the number of the first collection nodes needs to be increased.
Through dividing the collection area, can carry out quick location to the loss node, the quick maintenance of loss node of being convenient for, the setting of dividing distribution equipment according to the importance degree can let the overall arrangement of first collection node more reasonable, gathers important data through the node of difference, has promoted data acquisition's accuracy, also becomes more convenient in the aspect of data management.
[ third embodiment ]
Referring to fig. 5, in a specific embodiment, a second collection node is set on each power distribution device, and the operation parameters collected by each second collection node are periodically sent to the first collection node to obtain a second collection result, which specifically includes:
s310, selecting different period durations according to different levels of the power distribution equipment;
s320, dividing the period duration into a plurality of detection time periods, and selecting a target time period for detection in each detection time period to obtain a segmentation parameter result;
s330, adding and averaging the results of each segment parameter to obtain a second acquisition result.
In step S310, in order to ensure the normal operation of the power distribution device, the higher the importance level is, the shorter the period duration is, and the higher the frequency of data acquisition is.
In step S320, each period duration is divided into a plurality of detection time periods, a target time period is selected in each detection time period to obtain parameters, a plurality of operation parameter values are selected in the target time period, and the operation parameter values are summed up and calculated to obtain a mean value, thereby obtaining a segmented parameter result.
For example, the period duration is T 1 Will be periodicLong division into (0, t) 1 )、[t 1 ，t 2 )、[t 2 ，t 3 )、[t 3 ，T 1 ]The four detection time periods are set by setting a target time period in each detection time period, and the second acquisition node acquires the operation parameters in the target time period and performs the operation parameters in T 1 Obtaining four segmentation parameter results (0, t) in time 1 ) The segmentation parameter results in the time period are recorded as S 1 ，[t 1 ，t 2 ) The segmentation parameter results in the time period are recorded as S 2 ，[t 2 ，t 3 ) The segmentation parameter results in the time period are recorded as S 3 ，[t 3 ，T 1 ]The segmentation parameter results in the time period are recorded as S 4 。
It should be noted that, when the second acquisition result is acquired, the second acquisition node does not acquire the operation parameters of the power distribution equipment in real time, in a large power enterprise, if the operation parameters of all the power distribution equipment are acquired in real time, the data storage amount is huge, delay is generated in data uploading, the data can be frequently generated, the data cannot be filtered, so that too many invalid data are stored in the data management library, and interference is caused to analysis of later data.
In step S330, a second acquisition result is calculated according to the segmentation parameter result, wherein the second acquisition result is S 0 ，S 0 =(S 1 +S 2 +S 3 +S 4 )÷4。
Different period durations are selected for different equipment, different data acquisition frequencies can be selected for the distribution equipment with different importance degrees, the data acquisition quantity is reduced on the premise of ensuring that the data samples are enough, the second acquisition result can be comprehensively considered according to each period in the period through the arrangement of a plurality of detection time periods, the anti-interference capability of the second acquisition result is improved, the selection of the target time period is carried out, the time for acquiring the operation parameters of the distribution equipment is reduced, the acquired data quantity is reduced, and the operation parameters of the distribution equipment can be accurately acquired.
[ fourth embodiment ]
In a specific embodiment, if the number of the second acquisition results is equal to the number of the second acquisition nodes in the response time, recording the response time length, and correcting the second acquisition results according to the response time length, specifically including:
s421a, calculating the ratio of the response time length to the response time to obtain a first ratio;
s421b, converting an influence coefficient of the response time length in a target time period according to the first ratio;
s421c, correcting the second acquisition result according to the influence coefficient.
In step S421a, after the response time is prolonged, whether the obtained data is within the normal time range is determined according to the response time length, and the initial response time is recorded as F 0 The response time after extension is F 1 The response time is F 2 A first ratio is M, then m= (F 2 －F 1 ）÷F 0 。
In step S421b, first, whether the second acquisition result is delayed or not is determined according to the first ratio, when F 0 ＜F 2 When the second acquisition result has a time delay condition, the influence coefficient of the response time length in the target time period needs to be calculated, and when F 2 ＜F 0 When the number of times of acquisition extension of the power distribution equipment reaches the target number of times, the influence coefficient is calculated again, the target number of times is related to the importance degree of the power distribution equipment, and the higher the importance degree is, the less the power distribution target number of times is.
For example, F 0 =5 seconds, F 1 =10 seconds, F 2 When m=0.3 at the time of 8 seconds, it is explained that there is a delay in the second acquisition result obtained by the re-acquisition, and it is necessary to convert the influence coefficient according to the first ratio, and if F 2 The first ratio does not need to be calculated first, and the number of times of the power distribution equipment that the power distribution equipment takes the power distribution equipment to collect and extend is increased once.
When the influence coefficient is converted, firstly, the length of a target time period is obtained, and then the probability that data cannot be acquired when the operation parameters are collected is calculated, so that the influence coefficient is obtained.
The calculation of the first ratio can intuitively reflect the delay condition of the second acquisition node when the second acquisition result is transmitted, and the setting of the influence coefficient fully considers the fluctuation of the second acquisition result which can occur in the current delayed working environment, so that the second acquisition result is more accurate.
[ fifth embodiment ]
In a specific embodiment, scaling the influence coefficient of the response time length in the target time period according to the first ratio specifically includes:
s421b1, converting the interference duration of the response duration in the period duration according to the first ratio;
s421b2, calculating an influence coefficient according to the interference duration and the time length of the target time period.
In step S421b1, the smaller the value of the first ratio, the longer the corresponding interference duration is, and the interference duration is F 3 ，F 3 =T 1 ÷F 1 ×M×F 0 If T 1 =30 seconds, then F 3 =30++10×0.3×5=4.5 seconds.
In step S421b2, after calculating the delay condition of data acquisition in the current working environment, according to the length of the target time period, it is determined whether the condition of the data that is not acquired occurs when the operation parameters are acquired multiple times, resulting in abnormal segmentation parameter results, the influence coefficient is recorded as G, and the sampling times in each target time period are R, g= (F) 3 ÷T 1 ）÷R。
And calculating the interference duration, wherein when the operation parameters of different power distribution equipment are collected, the calculation of the influence coefficient can be matched with the target time period for detection, so that the accuracy of a second parameter result is further improved while the detection data sample is reduced as much as possible.
[ sixth embodiment ]
In a specific embodiment, the correcting the second acquisition result according to the influence coefficient specifically includes:
s421c1, judging whether an interference phenomenon occurs in a target time period according to a segmentation parameter result; if yes, calculating an actual value of the segmentation parameter result according to the influence coefficient to obtain a segmentation actual result, and correcting a second acquisition result according to the segmentation actual result; if not, the second acquisition result does not need to be corrected.
In step S421c1, when the segmentation parameter result appears 0 or is far lower than the second parameter result of the previous period, it is indicated that the segmentation parameter result has an abnormality, at this time, the segmentation parameter result needs to be corrected, the segmentation parameter result having an abnormality is first removed, the remaining segmentation parameter results are added and averaged, the obtained average value is combined with the influence coefficient to obtain a segmentation actual result, if the segmentation parameter result having no abnormality appears, the segmentation parameter result is directly added and averaged, and then uploaded to the first acquisition node as the second acquisition result.
It should be noted that, a normal parameter range corresponding to the operation parameters to be collected by each power distribution device is pre-stored in the data management database, and when the segmented parameter result exceeds the normal parameter range, whether the segmented parameter result is abnormal is generally judged by the normal parameter range.
Taking the data in step S320 as an example, the actual result of the score segment is T 5 The sampling frequency is 5 times, the voltage value of the power distribution equipment is subjected to data acquisition, the normal parameter range of the voltage of the power distribution equipment is 100V to 140V, the voltage acquisition result of the power distribution equipment in the last period is 119V, and S 1 =120V，S 2 =122V，S 3 =117V，S 4 =60V, at this time, S 4 The segment parameter result determined to be abnormal is eliminated when the segment parameter result is calculated, and the average value of the segment parameter result is equal to (S 1 +S 2 +S 3 ) 3= (120+122+117)/(3= 119.67 (V), and then correcting the average value of the segmentation parameter results according to the influence coefficient, T 5 =119.67×（1-G）=119.67×（1-0.03）=116.08（V）。
When the transmission channel fails, the running parameters may also have larger fluctuation in value, so that the segmentation parameter results need to be screened, the accuracy of the segmentation parameter results is ensured, and finally the segmentation actual results are corrected through influence coefficients, so that the accuracy of the second acquisition results is further improved.
[ seventh embodiment ]
In a specific embodiment, after the maintenance of the loss node is completed, the operation parameters of the loss node are collected to obtain a third collection result, and whether the second collection result sent by the loss node in the previous period needs to be corrected is judged according to the third collection result, which specifically includes:
s423a, when the difference value between the third acquisition result and the second acquisition result of the previous period is larger than the first threshold value, replacing the second acquisition result of the previous period with the third acquisition result;
when the difference value between the third acquisition result and the second acquisition result of the previous period is smaller than or equal to the first threshold value, the second acquisition result does not need to be corrected.
In step S423a, when the transmission channel fails, the operating parameter value may be larger or smaller as a whole, and although the value after the deviation is still within the normal parameter range, such second acquisition result is inaccurate, so after the transmission channel is maintained, the second acquisition result of the period when the maintenance occurs needs to be checked, if the difference is larger, the second acquisition result after the maintenance is used as the reference, and if the difference is smaller, the data before the maintenance is retained. The magnitude of the first threshold is typically one-fourth of the difference across the normal parameter range.
For example, the normal parameter range of the voltage of the power distribution device is 100V to 140V, that is, the first threshold is 10V, in the data management library, the second acquisition result of the period when maintenance occurs or the period before maintenance occurs is 110V, the third acquisition result obtained after maintenance is 130V, the difference between the two is 20V, and exceeds the first threshold, at this time, the data of 110V in the data management library is required to be replaced with 130V, if the third acquisition result obtained after maintenance is 115V, the difference between the two is only 5V, and the difference between the two does not exceed the first threshold, at this time, the second acquisition result is not required to be corrected.
After the maintenance is finished, the data before the maintenance is corrected, so that the influence of the maintenance on the accuracy of data acquisition is further reduced, and the data acquisition result is more accurate.
[ eighth embodiment ]
In a specific embodiment, when the maintenance of the loss node is completed, the method further includes:
s500, performing preventive detection on each second acquisition node under the first acquisition node containing the loss node;
s510, when the second acquisition node passes the preventive detection, the second acquisition result is not required to be processed; and when the second acquisition node does not pass the preventive detection, marking the second acquisition result and displaying the second acquisition result in the first acquisition result corresponding to the second acquisition result.
S511, shortening the period time according to different grades of the power distribution equipment; increasing the number of detection time periods and prolonging the time length of a target time period;
in step S510, when the first collection node classifies the second collection result, the first collection node marks the second collection result that does not pass through preventive detection, and the staff can perform preventive maintenance on the second collection node in advance according to the number of marks.
In step S511, the higher the importance of the power distribution device, the larger the amplitude of the cycle duration shortening, and the number of detection time periods is increased while the cycle duration is shortened, and the amount of data to be processed by the second acquisition node is increased in unit time, so as to determine whether the transmission channel fails.
Through preventive detection, when one of the second collection nodes breaks down, other second collection nodes are checked timely, large-area transmission abnormality is avoided, normal maintenance and management of power distribution equipment are avoided, and stability of data collection work is improved.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention should be assessed accordingly to that of the appended claims.
Claims (4)
1. The data acquisition method based on the 5G network is characterized by comprising the following steps of:
establishing a data management library, and adding power distribution equipment in an electric power enterprise into the data management library;
dividing acquisition areas according to the placement positions of the power distribution equipment, and setting the number of first acquisition nodes according to the types of the power distribution equipment in each acquisition area;
setting a second acquisition node on each power distribution device, periodically acquiring the operation parameters of each power distribution device to obtain a second acquisition result, and transmitting the second acquisition result to the first acquisition node;
the first acquisition node compares the number of the received second acquisition results with the number of the second acquisition nodes to obtain a data number difference value, and judges whether the second acquisition results need to be corrected or not according to the data number difference value;
when the number of the second acquisition results is equal to the number of the second acquisition nodes, the second acquisition results do not need to be corrected, the first acquisition nodes output first acquisition results according to the second acquisition results, and the first acquisition results are input into the data management library;
when the number of the second acquisition results is smaller than that of the second acquisition nodes, the first acquisition nodes collect the second acquisition results again in the first target time, and the response time of collection is prolonged;
if the number of the second acquisition results is equal to the number of the second acquisition nodes in the response time, recording response time length, and correcting the second acquisition results according to the response time length;
if the number of the second acquisition results is still smaller than the number of the second acquisition nodes in the response time, marking the second acquisition nodes which do not send the second acquisition results as loss nodes, positioning the loss nodes through the acquisition area, and sending maintenance prompts for the loss nodes;
after the maintenance of the loss node is finished, acquiring the operation parameters of the power distribution equipment of the loss node to obtain a third acquisition result, and judging whether a second acquisition result sent by the loss node in the previous period needs to be corrected according to the third acquisition result;
dividing the collection areas according to the placement positions of the power distribution equipment, and setting the number of first collection nodes according to the types of the power distribution equipment in each collection area, wherein the method specifically comprises the following steps:
dividing the acquisition areas according to the occupied area of the power enterprise and acquiring the number of power distribution equipment in each acquisition area;
classifying the grades of the power distribution equipment according to the importance degree of the power distribution equipment;
selecting the number of the first acquisition nodes according to the ratio of the power distribution equipment of different grades in the acquisition area;
the method for acquiring the operation parameters of the power distribution equipment comprises the steps of setting a second acquisition node on each power distribution equipment, periodically acquiring the operation parameters of each power distribution equipment to obtain a second acquisition result, and sending the second acquisition result to the first acquisition node, and specifically comprises the following steps:
selecting different period durations according to different levels of the power distribution equipment;
dividing the period duration into a plurality of detection time periods, and selecting a target time period in each detection time period for detection to obtain a segmentation parameter result;
adding and averaging each segmented parameter result to obtain a second acquisition result;
if the number of the second acquisition results is equal to the number of the second acquisition nodes in the response time, recording a response time length, and correcting the second acquisition results according to the response time length, specifically including:
calculating the ratio of the response time length to the response time to obtain a first ratio;
converting the influence coefficient of the response time length in the target time period according to a first ratio;
correcting the second acquisition result according to the influence coefficient;
the converting the influence coefficient of the response time length in the target time period according to the first ratio specifically includes:
converting the interference duration of the response duration in the period duration according to the first ratio;
calculating the influence coefficient according to the interference duration and the time length of the target time period;
the correcting the second acquisition result according to the influence coefficient specifically includes:
judging whether an interference phenomenon occurs in the target time period according to the segmentation parameter result;
if yes, calculating an actual value of the segmentation parameter result according to the influence coefficient to obtain a segmentation actual result, and correcting the second acquisition result according to the segmentation actual result;
if not, the second acquisition result does not need to be corrected;
and marking the second collection nodes which do not send the second collection results as the loss nodes, determining the collection areas where the second collection nodes are located according to the first collection nodes, and locking the power distribution equipment with transmission faults according to the positioning of the loss nodes.
2. The method for collecting data based on 5G network according to claim 1, wherein after the maintenance of the loss node is completed, collecting the operation parameter of the loss node to obtain a third collection result, and determining whether the second collection result sent by the loss node in the previous period needs to be corrected according to the third collection result, including:
when the difference value between the third acquisition result and the second acquisition result of the previous cycle is larger than a first threshold value, replacing the second acquisition result of the previous cycle with the third acquisition result;
when the difference value between the third acquisition result and the second acquisition result of the previous period is smaller than or equal to a first threshold value, the second acquisition result does not need to be corrected.
3. The method for collecting data based on 5G network according to claim 2, wherein after the maintenance of the loss node is completed, further comprising:
performing preventive detection on each of the second collection nodes under the first collection node including the loss node;
when the second acquisition node passes the preventive detection, the second acquisition result does not need to be processed;
and when the second acquisition node does not pass the preventive detection, marking the second acquisition result and displaying the second acquisition result in the first acquisition result corresponding to the second acquisition result.
4. A method of 5G network based data acquisition according to claim 3, wherein said preventive detection of each of said second acquisition nodes under said first acquisition node comprising said loss node, in particular comprises:
shortening the period duration according to different grades of the power distribution equipment;
and increasing the number of the detection time periods and prolonging the time length of the target time period.
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