CN107590541B - On-site processing method for low success rate defect of load data acquisition - Google Patents
On-site processing method for low success rate defect of load data acquisition Download PDFInfo
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Abstract
A field processing method for load data acquisition with low success rate defects relates to a field processing method, and at present, operation and maintenance teams in various cities have different, independent and single defect eliminating methods, so that the uniformity is poor, analysis and processing are not facilitated, and the defect eliminating efficiency is low. The invention comprises the following steps: the accurate step; the load data acquisition success rate is low, and the method comprises the following steps: checking the information; utilizing the mobile equipment to carry out various related checks on the equipment; judging whether the terminal has defects by utilizing the mobile equipment, and determining a fault reason and a processing method; manually confirming the fault; and feeding back the fault phenomenon and the processing result. According to the technical scheme, the convenient, optimized and efficient systematic professional defect eliminating method is used for on-site defect eliminating work, the acquisition, operation and maintenance efficiency is improved, the on-site operation and maintenance workload is reduced, the specialization of acquisition, operation and maintenance teams is improved, and the success rate of the power utilization information acquisition system is further guaranteed.
Description
Technical Field
The invention relates to an on-site processing method, in particular to an on-site processing method with the defect of low success rate of load data acquisition.
Background
The current operation and maintenance work lacks systematicness, continuity, foresight and specialized operation and maintenance teams, and along with the continuous development of the operation and maintenance work, the condition for realizing systematic professional acquisition, operation and maintenance through experience summary and technical means is met. But often times the load data collection is unsuccessful.
The low success rate of load data acquisition means that the success rate of load data acquisition is lower than a set threshold value for a plurality of continuous days of the terminal. As a common acquisition, operation and maintenance fault, various defect eliminating methods are caused by various fault reasons. Because the number of the acquisition terminals is large, for example, the number of the acquisition terminals in Zhejiang province exceeds 300 ten thousand, and manufacturers, batches, specifications, models, accessories and the like are different, the operation and maintenance teams in various cities have different, independent and single defect eliminating methods for the faults. The uniformity is poor, the analysis and the processing are not facilitated, and the defect eliminating efficiency is low.
Disclosure of Invention
The technical problem to be solved and the technical task to be solved by the invention are to perfect and improve the prior technical scheme and provide a field processing method with low success rate of load data acquisition, so as to achieve the purposes of unified processing and effectively improving the processing speed. Therefore, the invention adopts the following technical scheme.
A field processing method for load data acquisition with low success rate defect comprises the following steps:
1) the method comprises the following accurate steps: summarizing fault reasons with low success rate of acquiring all load data according to historical data, determining and recording a defect elimination work flow and a fault processing method which are optimized to solve the problem of low success rate of acquiring the load data, and storing each result aiming at the processing process to update the historical data; the mobile equipment stores and eliminates the defect work flow and fault processing method, wherein to check remote signal, check local signal, check terminal heartbeat setting, whether the terminal has defects are distributed by the analysis of optimization sequence algorithm according to historical fault information and operation and maintenance working logic habit;
2) according to the determined load data acquisition success rate low elimination work flow and the fault processing method, the load data acquisition success rate low elimination method comprises the following steps:
201) information checking, namely checking whether the field terminal information is consistent with the work order information or not, wherein the checking comprises terminal asset number checking so as to prevent wrong intervals or working places;
202) utilizing the mobile equipment to carry out various related checks of the equipment, including checking remote signals, local signals and terminal heartbeat setting, and determining fault reasons and processing methods according to the checks;
203) judging whether the terminal has defects by using the mobile equipment, calling the software version number of the terminal by using the mobile equipment, checking whether frequent alarm and login exist in the terminal and the installation time of the terminal, checking the software version number of the terminal, judging whether the program of the terminal is abnormally upgraded and judging whether the performance of the terminal is reduced, judging whether the terminal has defects according to the checking, and determining the fault reason and the processing method;
204) manually confirming the fault, determining that the specific fault still cannot be determined after all items are checked, regarding the specific fault as a terminal fault, and processing the terminal fault by 'difficult problem' or 'terminal replacement';
205) feeding back the fault phenomenon and the processing result, proposing the next processing link, recording and storing each feedback result of the processing process, wherein the feedback result is as follows: processing difficult problems, processing public network signal problems, verifying processing results, correcting files, replacing terminal sub-processes, replacing electric meters or upgrading terminals.
According to the technical scheme, the problem of low success rate of load data acquisition is solved according to various acquisition equipment, operation and maintenance tools and operation and maintenance environment conditions of a current power consumption information acquisition system, a system flow of a current acquisition operation and maintenance elimination process is combined, and according to fault reasons of low success rate of various load data acquisition, the experience of low fault elimination of the on-site multi-year load data acquisition success rate is used for reference, so that the on-site elimination work is carried out by using a convenient, optimized and efficient systematic professional elimination method, the acquisition operation and maintenance efficiency is improved, the on-site operation and maintenance workload is reduced, the specialization of acquisition operation and maintenance teams is improved, the success rate of the power consumption information acquisition system is further ensured, and the work development of national power grid marketing is supported.
As a further improvement and supplement to the above technical solutions, the present invention also includes the following additional technical features.
Furthermore, during remote signal inspection, whether the signal strength of the terminal is enough is inspected, and if the signal of the terminal is weak or has no signal, the installation position is changed, and a gain antenna or a public network signal is used.
Further, when the local signal is checked, whether the RS485 communication line is too long, whether the specification is reasonable or not and whether signal interference exists or not are checked; and if the local signal is abnormal, adjusting the installation position, and selecting a proper RS485 communication line or additionally installing a relay device.
Furthermore, when the heartbeat setting of the terminal is checked, the heartbeat interval of the terminal is called for and measured, whether the heartbeat interval of the terminal is appropriate or not is judged, and when the heartbeat interval is set to be too long, the heartbeat interval is reset.
Furthermore, when the version number of the terminal software is checked, the version number of the terminal software is summoned and tested, whether the functions of the terminal software are normal or not is determined, and if the version number of the terminal software is low, whether the software is upgraded or not is determined.
Further, when checking whether the terminal is abnormal in program upgrading, whether the terminal is caused by abnormal program issuing during terminal upgrading is judged by checking whether the terminal has frequent alarm, channel switching and restarting information, and if the terminal program upgrading is incomplete, the terminal software is reset, and meanwhile, the parameters of the measuring point are issued again.
Further, when checking whether the terminal is degraded, if the terminal has no fault point frequently, judging whether the terminal is probably caused by terminal aging according to the installation time of the terminal, and changing the terminal when the physical performance of the terminal is degraded.
Further, selecting to check remote signals, check local signals, check terminal heartbeat setting and determine whether the terminal has defects, and optimizing the sequence through algorithm analysis;
calculating the occurrence historical probability of checking remote signals, local signals, terminal heartbeat setting and whether the terminal has defects or not in each month according to historical operation and maintenance information;
determining logic sequence weighting factors for checking remote signals, local signals, terminal heartbeat setting and whether the terminal has defects according to the daily operation and maintenance logic habits of historical operation and maintenance information, wherein the logic sequence weighting factors are respectively represented by K1, K2, K3 and K4;
the method comprises the following specific steps:
a) the probability coefficient L for examining the remote signal is the following formula:
L＝C3L3+C6L6+C12L12+C∞L∞， (2)
wherein, in the formula (1), the examination and treatment of remote signals, the examination of local signals, the examination of heartbeat setting of the terminal and the existence of defects of the terminal are respectively represented by Wi、Xi、Yi、ZiThe historical occurrence probability of the previous i months is expressed, and i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k1 is a logical sequence weighting factor for checking remote signals, and K1 selects 2;
in the formula (2), LmRespectively selecting a set of probabilities of remote signals of 3 months, 6 months, 12 months and all historical examinations in the system, CmAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞Selecting 1.5;
b) the probability coefficient M of examining the local signal is the following formula:
M＝C3M3+C6M6+C12M12+C∞M∞， (2)
wherein, in the formula (1), the detection of remote signals, the detection of local signals, the detection of terminal heartbeat setting and the detection of whether the terminal has defects are respectively represented by Wi、Xi、Yi、ZiThe historical occurrence probability of the previous i months is expressed, and i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k2 is a logic sequence weighting factor for checking the local signals, and K2 selects 1;
in the formula (2), MmRespectively selecting a set of probabilities of local signals of 3 months, 6 months, 12 months and all historical examinations in the system, CmAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞1.5 was chosen.
c) The probability coefficient N for checking the heartbeat setting of the terminal is the following formula:
N＝C3N3+C6N6+C12N12+C∞N∞， (2)
wherein, in the formula (1), the detection of remote signals, the detection of local signals, the detection of terminal heartbeat setting and the detection of whether the terminal has defects are respectively represented by Wi、Xi、Yi、ZiThe historical occurrence probability of the previous i months is expressed, and i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k3 is a logic sequence weighting factor set for checking the terminal heartbeat, and K3 selects 0.8;
in the formula (2), NmRespectively selecting a set of heartbeat setting probabilities of all historical examination terminals in the system, wherein m is 3, m is 6, m is 12, m is infinity to represent 3 months, 6 months and 12 months, and C is the maximum value of the heartbeat setting probabilities of all the historical examination terminals in the systemmAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞Selecting 1.5;
d) the probability coefficient O of whether the terminal has defects is the following formula:
O＝C3O3+C6O6+C12O12+C∞O∞， (2)
wherein, in the formula (1), the detection of remote signals, the detection of local signals, the detection of terminal heartbeat setting and the detection of whether the terminal has defects are respectively represented by Wi、Xi、Yi、ZiThe historical occurrence probability of the previous i months is expressed, and i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k4 is a logic sequence weighting factor for judging whether the terminal has defects, and K4 selects 1;
in the formula (2), OmRespectively selecting a set C of the probability of whether the defect exists in all historical terminals in the system or not, wherein m is 3, m is 6, m is 12, m is infinity represents 3 months, 6 months and 12 months, and C ismAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞Selecting 1.5;
e) according to the L, M, N, O results obtained in the above steps 1, 2, 3 and 4, the largest one is selected as the first order, the second order, the third order and the fourth order.
Furthermore, the mobile device is provided with a plurality of modules, including an information checking module for checking information, a remote signal checking module for checking remote signals, a local signal checking module for checking local signals, a terminal heartbeat setting checking module for checking terminal heartbeat setting, a terminal defect checking module for checking terminal defects, a manual fault checking module for manually checking faults, a processing module for processing records and feeding back, and a process control module for guiding the work flow, wherein the information checking module, the remote signal checking module, the local signal checking module, the terminal heartbeat setting checking module, the terminal defect checking module and the manual fault checking module work in sequence or work according to needs.
Has the advantages that: according to the technical scheme, the problem of low success rate of load data acquisition is solved according to various acquisition equipment, operation and maintenance tools and operation and maintenance environment conditions of a current power consumption information acquisition system, a system flow of a current acquisition operation and maintenance elimination process is combined, and according to fault reasons of low success rate of various load data acquisition, the experience of low fault elimination of the on-site multi-year load data acquisition success rate is used for reference, so that the on-site elimination work is carried out by using a convenient, optimized and efficient systematic professional elimination method, the acquisition operation and maintenance efficiency is improved, the on-site operation and maintenance workload is reduced, the specialization of acquisition operation and maintenance teams is improved, the success rate of the power consumption information acquisition system is further ensured, and the work development of national power grid marketing is supported.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical scheme of the invention is further explained in detail by combining the drawings in the specification.
As shown in fig. 1, the present invention comprises the steps of:
1) the method comprises the following accurate steps: summarizing fault reasons with low success rate of acquiring all load data according to historical data, determining and recording a defect elimination work flow and a fault processing method which are optimized to solve the problem of low success rate of acquiring the load data, and storing each result aiming at the processing process to update the historical data; mobile equipment stores a defect elimination workflow and a fault processing method; the distribution is carried out according to historical fault information and operation and maintenance working logic habits by analyzing an optimization sequence algorithm aiming at checking remote signals, checking local signals, checking terminal heartbeat setting and whether the terminal has defects.
2) According to the determined load data acquisition success rate low elimination work flow and the fault processing method, the load data acquisition success rate low elimination method comprises the following steps:
201) information checking, namely checking whether the field terminal information is consistent with the work order information or not, wherein the checking comprises terminal asset number checking so as to prevent wrong intervals or working places;
202) utilizing the mobile equipment to carry out various related checks of the equipment, including checking remote signals, local signals and terminal heartbeat setting, and determining fault reasons and processing methods according to the checks;
203) judging whether the terminal has defects by using the mobile equipment, calling the software version number of the terminal by using the mobile equipment, checking whether frequent alarm and login exist in the terminal and the installation time of the terminal, checking the software version number of the terminal, judging whether the program of the terminal is abnormally upgraded and judging whether the performance of the terminal is reduced, judging whether the terminal has defects according to the checking, and determining the fault reason and the processing method;
204) manually confirming the fault, determining that the specific fault still cannot be determined after all items are checked, regarding the specific fault as a terminal fault, and processing the terminal fault by 'difficult problem' or 'terminal replacement';
205) feeding back the fault phenomenon and the processing result, proposing the next processing link, recording and storing each feedback result of the processing process, wherein the feedback result is as follows: processing difficult problems, processing public network signal problems, verifying processing results, correcting files, replacing terminal sub-processes, replacing electric meters or upgrading terminals.
According to the technical scheme, the problem of low success rate of load data acquisition is solved according to various acquisition equipment, operation and maintenance tools and operation and maintenance environment conditions of a current power consumption information acquisition system, a system flow of a current acquisition operation and maintenance elimination process is combined, and according to fault reasons of low success rate of various load data acquisition, the experience of low fault elimination of the on-site multi-year load data acquisition success rate is used for reference, so that the on-site elimination work is carried out by using a convenient, optimized and efficient systematic professional elimination method, the acquisition operation and maintenance efficiency is improved, the on-site operation and maintenance workload is reduced, the specialization of acquisition operation and maintenance teams is improved, the success rate of the power consumption information acquisition system is further ensured, and the work development of national power grid marketing is supported.
The adopted deletion-eliminating workflow mainly comprises 7 contents, and the specific table is as shown in the following table:
and optimizing the sequence by algorithm analysis after selecting and checking remote signals, checking local signals, checking heartbeat setting of the terminal and judging whether the terminal has defects.
Calculating the occurrence historical probability of checking remote signals, local signals, terminal heartbeat setting and whether the terminal has defects or not in each month according to historical operation and maintenance information;
determining logic sequence weighting factors for checking remote signals, local signals, terminal heartbeat setting and whether the terminal has defects according to the daily operation and maintenance logic habits of historical operation and maintenance information, wherein the logic sequence weighting factors are respectively represented by K1, K2, K3 and K4;
the method comprises the following specific steps:
a) the probability coefficient L for examining the remote signal is the following formula:
L＝C3L3+C6L6+C12L12+C∞L∞， (2)
wherein, in the formula (1), the examination and treatment of remote signals, the examination of local signals, the examination of heartbeat setting of the terminal and the existence of defects of the terminal are respectively represented by Wi、Xi、Yi、ZiThe historical occurrence probability of the previous i months is expressed, and i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k1 is a logical sequence weighting factor for checking remote signals, and K1 selects 2;
in the formula (2), LmRespectively selecting a set of probabilities of remote signals of 3 months, 6 months, 12 months and all historical examinations in the system, CmAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞1.5 was chosen.
b) The probability coefficient M of examining the local signal is the following formula:
M＝C3M3+C6M6+C12M12+C∞M∞， (2)
wherein, in the formula (1), the detection of remote signals, the detection of local signals, the detection of terminal heartbeat setting and the detection of whether the terminal has defects are respectively represented by Wi、Xi、Yi、ZiThe historical occurrence probability of the previous i months is expressed, and i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k2 is a logic sequence weighting factor for checking the local signals, and K2 selects 1;
in the formula (2), MmRespectively selecting a set of probabilities of local signals of 3 months, 6 months, 12 months and all historical examinations in the system, CmAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞1.5 was chosen.
c) The probability coefficient N for checking the heartbeat setting of the terminal is the following formula:
N＝C3N3+C6N6+C12N12+C∞N∞, (2)
wherein, in the formula (1), the detection of remote signals, the detection of local signals, the detection of terminal heartbeat setting and the detection of whether the terminal has defects are respectively represented by Wi、Xi、Yi、ZiHistorical hair expressed as the first i monthsGenerating probability, wherein i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k3 is a logic sequence weighting factor set for checking the terminal heartbeat, and K3 selects 0.8;
in the formula (2), NmRespectively selecting a set of heartbeat setting probabilities of all historical examination terminals in the system, wherein m is 3, m is 6, m is 12, m is infinity to represent 3 months, 6 months and 12 months, and C is the maximum value of the heartbeat setting probabilities of all the historical examination terminals in the systemmAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞1.5 was chosen.
d) The probability coefficient O of whether the terminal has defects is the following formula:
O＝C3O3+C6O6+C12O12+C∞O∞, (2)
wherein, in the formula (1), the detection of remote signals, the detection of local signals, the detection of terminal heartbeat setting and the detection of whether the terminal has defects are respectively represented by Wi、Xi、Yi、ZiThe historical occurrence probability of the previous i months is expressed, and i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k4 is a logic sequence weighting factor for judging whether the terminal has defects, and K4 selects 1;
in the formula (2), OmRespectively selecting a set C of the probability of whether the defect exists in all historical terminals in the system or not, wherein m is 3, m is 6, m is 12, m is infinity represents 3 months, 6 months and 12 months, and C ismAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞1.5 was chosen.
e) According to the L, M, N, O results obtained in the above steps 1, 2, 3 and 4, the largest one is selected as the first order, the second order, the third order and the fourth order.
And when the remote signal is checked, checking whether the signal strength of the terminal is enough, and if the signal of the terminal is weak or has no signal, changing the installation position, and using a gain antenna or a public network signal.
When the local signal is checked, whether the RS485 communication line is too long, whether the specification is reasonable or not and whether signal interference exists or not are checked; and if the local signal is abnormal, adjusting the installation position, and selecting a proper RS485 communication line or additionally installing a relay device.
When the heartbeat setting of the terminal is checked, the heartbeat interval of the terminal is called and measured, whether the heartbeat interval of the terminal is appropriate or not is judged, and when the heartbeat interval is set to be too long, the heartbeat interval is reset.
Furthermore, when the version number of the terminal software is checked, the version number of the terminal software is summoned and tested, whether the functions of the terminal software are normal or not is determined, and if the version number of the terminal software is low, whether the software is upgraded or not is determined.
When the terminal is checked whether the program upgrading is abnormal, whether the program is abnormally issued due to the terminal upgrading is judged by checking whether the terminal has frequent alarm, channel switching and restarting information, if the terminal program upgrading is incomplete, the terminal software is reset, and meanwhile, the parameters of the measuring point are issued again.
When checking whether the terminal performance is reduced, if the terminal has no fault point frequently, judging whether the terminal is possibly caused by terminal aging according to the installation time of the terminal, and changing the terminal when the terminal physical performance is reduced.
In order to facilitate field operation, the mobile device is provided with a plurality of modules, including an information checking module for checking information, a remote signal checking module for checking remote signals, a local signal checking module for checking local signals, a terminal heartbeat setting checking module for setting and checking terminal heartbeats, a terminal defect checking module for checking terminal defects, a manual fault checking module for manually checking faults, a processing module for processing records and feeding back and a process control module for guiding a work flow, wherein the information checking module, the remote signal checking module, the local signal checking module, the terminal heartbeat setting checking module, the terminal defect checking module and the manual fault checking module work in sequence or work selectively according to needs.
The method for processing the load data with low success rate in the field as shown in fig. 1 is a specific embodiment of the present invention, has shown the substantial features and progress of the present invention, and can modify the load data with the same shape and structure according to the practical needs, all falling within the scope of protection of the present solution.
Claims (8)
1. A field defect elimination method for load data acquisition with low success rate is characterized by comprising the following steps:
1) the preparation method comprises the following steps: summarizing fault reasons with low success rate of acquiring all load data according to historical data, determining and recording a defect elimination workflow and a fault processing method which are optimized to solve the problem of low success rate of acquiring the load data, and storing each result aiming at the processing process to update the historical data; mobile equipment stores a defect elimination workflow and a fault processing method; the method comprises the steps of checking remote signals, checking local signals, checking terminal heartbeat setting and whether a terminal has defects, and analyzing by an optimized sequential algorithm according to historical fault information and operation and maintenance working logic habits;
2) the load data acquisition success rate elimination is carried out according to the determined load data acquisition success rate elimination work flow and the fault processing method, and the method comprises the following steps:
201) information checking, namely checking whether the field terminal information is consistent with the work order information or not, wherein the checking comprises terminal asset number checking so as to prevent wrong intervals or working places;
202) utilizing the mobile equipment to carry out various related checks of the equipment, including checking remote signals, local signals and terminal heartbeat setting, and determining fault reasons and processing methods according to the checks;
203) judging whether the terminal has defects by using the mobile equipment, calling the software version number of the terminal by using the mobile equipment, checking whether frequent alarm and login exist in the terminal and the installation time of the terminal, checking the software version number of the terminal, judging whether the program of the terminal is abnormally upgraded and judging whether the performance of the terminal is reduced, judging whether the terminal has defects according to the checking, and determining the fault reason and the processing method;
204) manually confirming the fault, determining that the specific fault still cannot be determined after all items are checked, regarding the specific fault as a terminal fault, and processing the terminal fault by 'difficult problem' or 'terminal replacement';
205) feeding back the fault phenomenon and the processing result, proposing the next processing link, recording and storing each feedback result of the processing process, wherein the feedback result is as follows: processing difficult problems, processing public network signal problems, verifying processing results, correcting files, replacing terminal sub-processes, replacing electric meters or upgrading terminals;
optimizing the sequence by algorithm analysis after selecting and checking remote signals, checking local signals, checking heartbeat setting of the terminal and judging whether the terminal has defects;
calculating the occurrence historical probability of checking remote signals, local signals, terminal heartbeat setting and whether the terminal has defects or not in each month according to historical operation and maintenance information;
determining logic sequence weighting factors for checking remote signals, local signals, terminal heartbeat setting and whether the terminal has defects according to the daily operation and maintenance logic habits of historical operation and maintenance information, wherein the logic sequence weighting factors are respectively represented by K1, K2, K3 and K4;
the method comprises the following specific steps:
a) the probability coefficient L for examining the remote signal is the following formula:
L＝C3L3+C6L6+C12L12+C∞L∞， (2)
wherein, in the formula (1), the examination and treatment of remote signals, the examination of local signals, the examination of heartbeat setting of the terminal and the existence of defects of the terminal are respectively represented by Wi、Xi、Yi、ZiThe historical occurrence probability of the previous i months is expressed, and i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k1 is a logical sequence weighting factor for checking remote signals, and K1 selects 2;
in the formula (2), LmRespectively selecting a set of probabilities of remote signals of 3 months, 6 months, 12 months and all historical examinations in the system, CmAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞Selecting 1.5;
b) the probability coefficient M of examining the local signal is the following formula:
M＝C3M3+C6M6+C12M12+C∞M∞， (4)
wherein, in the formula (3), the remote signal is checked, the local signal is checked, the heartbeat setting of the terminal is checked, whether the terminal has defects is respectively represented by Wi、Xi、Yi、ZiThe historical occurrence probability of the previous i months is expressed, and i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k2 is a logic sequence weighting factor for checking the local signals, and K2 selects 1;
in the formula (4), MmRespectively selecting a set of probabilities of local signals of 3 months, 6 months, 12 months and all historical examinations in the system, CmAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞Selecting 1.5;
c) the probability coefficient N for checking the heartbeat setting of the terminal is the following formula:
N＝C3N3+C6N6+C12N12+C∞N∞， (6)
wherein, in the formula (5), the remote signal is checked, the local signal is checked, the heartbeat setting of the terminal is checked, whether the terminal has defects is respectively represented by Wi、Xi、Yi、ZiThe historical occurrence probability of the previous i months is expressed, and i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k3 is a logic sequence weighting factor set for checking the terminal heartbeat, and K3 selects 0.8;
in the formula (6), NmRespectively selecting a set of heartbeat setting probabilities of all historical check terminals in the system, C, wherein m is 3, m is 6, m is 12, and m is infinity to represent 3 months, 6 months and 12 monthsmAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞Selecting 1.5;
d) the probability coefficient O of whether the terminal has defects is the following formula:
O＝C3O3+C6O6+C12O12+C∞O∞， (8)
wherein, in the formula (7), the detection of the remote signal, the detection of the local signal, the detection of the heartbeat setting of the terminal and the detection of whether the terminal has defects are respectively represented by Wi、Xi、Yi、ZiThe historical occurrence probability of the previous i months is expressed, and i ═ infinity represents that all historical data in the operation and maintenance system are collected;
k4 is a logic sequence weighting factor for judging whether the terminal has defects, and K4 selects 1;
in the formula (8), OmRespectively selecting m-3, m-6, m-12, m-infinity representing 3 months, 6 months, 12 months and a set of probability of whether all historical terminals in the system have defects, and CmAs new and old constants of failure, C3Selection of 2, C6Selecting 1.5, C12Selection of 1, C∞Selecting 1.5;
e) selecting the largest one as a first sequence, a second sequence, a third sequence and a fourth sequence according to L, M, N, O results obtained from a), b), c) and d), respectively.
2. The on-site defect elimination method for the load data acquisition with low success rate according to claim 1, characterized in that: and when the remote signal is checked, checking whether the signal intensity of the terminal is enough, and if the signal of the terminal is weak or has no signal, changing the installation position, and using a gain antenna or a public network signal.
3. The on-site defect elimination method for the load data acquisition with low success rate according to claim 2, characterized in that: when the local signal is checked, whether the RS485 communication line is too long, whether the specification is reasonable or not and whether signal interference exists or not are checked; and if the local signal is abnormal, adjusting the installation position, and selecting a proper RS485 communication line or additionally installing a relay device.
4. The on-site defect elimination method for the load data acquisition with low success rate according to claim 3, wherein: when the heartbeat setting of the terminal is checked, the heartbeat interval of the terminal is called and measured, whether the heartbeat interval of the terminal is appropriate or not is judged, and when the heartbeat interval is set to be too long, the heartbeat interval is reset.
5. The on-site defect elimination method for the load data acquisition with low success rate according to claim 4, wherein: and when the terminal software version number is checked, the terminal software version number is summoned and tested to determine whether the terminal software function is normal, and if the software version number is low, whether the software is upgraded is determined.
6. The on-site defect elimination method for the load data acquisition with low success rate according to claim 5, wherein: when the terminal is checked whether the program upgrading is abnormal, whether the program is abnormally issued due to the terminal upgrading is judged by checking whether the terminal has frequent alarm, channel switching and restarting information, if the terminal program upgrading is incomplete, the terminal software is reset, and meanwhile, the parameters of the measuring point are issued again.
7. The on-site defect elimination method for the load data acquisition with low success rate according to claim 6, wherein: when checking whether the terminal performance is reduced, if the terminal has no fault point frequently, judging whether the terminal is possibly caused by terminal aging according to the installation time of the terminal, and changing the terminal when the terminal physical performance is reduced.
8. The on-site defect elimination method for load data acquisition with low success rate according to any one of claims 1 to 7, characterized in that: the mobile device is provided with a plurality of modules, including an information checking module for checking information, a remote signal checking module for checking remote signals, a local signal checking module for checking local signals, a terminal heartbeat setting checking module for checking terminal heartbeat, a terminal defect checking module for checking terminal defects, a manual fault confirming module for manually confirming faults, a processing module for processing records and feeding back and a process control module for guiding a work flow, wherein the information checking module, the remote signal checking module, the local signal checking module, the terminal heartbeat setting checking module, the terminal defect checking module and the manual fault confirming module work in sequence or work selectively according to needs.
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