CN104596656A - Temperature early warning method of cable joint - Google Patents
Temperature early warning method of cable joint Download PDFInfo
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- CN104596656A CN104596656A CN201410550178.3A CN201410550178A CN104596656A CN 104596656 A CN104596656 A CN 104596656A CN 201410550178 A CN201410550178 A CN 201410550178A CN 104596656 A CN104596656 A CN 104596656A
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- cable joint
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Abstract
The invention relates to a temperature early warning method of a cable joint, and belongs to the field of cable fault monitoring. The temperature early warning method of the cable joint includes the following steps: step one: a monitoring node collects temperature value at the cable joint and transmits to an upper computer; step two: the upper computer processes and analyzes the temperature data transmitted by the monitoring node; if the temperature data value received by the system upper machine is higher than the preset threshold, the system upper machine sends a command to give an alarm. Through monitoring the temperature of the cable joint, the temperature early warning method of the cable joint can prevent the cable joint from fault and influence on cable power transmission due to the excess temperature.
Description
Technical field
The invention belongs to cable fault monitoring field, be specifically related to a kind of temperature of cable junction method for early warning.
Background technology
At present, the fault caused by power cable is the principal element affecting electric power regular supply, causes the main cause of cable fault to have the quality of production of cable.But when power cable breaks down, also have reason to be greatly that cable can produce very high temperature in electric power long-time running supply process, power cable can along with the increase of cable temperature, and the probability broken down will strengthen.Through investigating discovery in a large number, the position that power cable breaks down is all in most cases at cable splice place.Owing to also not having very effective Temperature of Power Cables monitoring device at present, the probability that cable fault occurs can increase thereupon.Once generation cable fault, very serious economic loss will be produced.Not only have a large amount of power cables to damage, but also the power failure of some factory and enterprises and a large amount of residents can be caused cannot to obtain normal electric power supply, had a strong impact on daily life and brought huge loss to the country and people.Such as above factor, ensures that electric power safe operation can become urgent problem.
Summary of the invention
In order to overcome the deficiencies in the prior art, the invention provides a kind of temperature of cable junction method for early warning, by realizing the too high warning of temperature to the collection of temperature of cable junction and design temperature alarm threshold value, and adopt PID fuzzy algorithm to be optimized to alarm threshold value wherein, alarm threshold value is changed due to the isoparametric impact of environment temperature, designs a rational temperature alarming threshold value.
Technical scheme of the present invention is: a kind of temperature of cable junction method for early warning, comprises the steps: step one: monitoring node gathers the Temperature numerical at cable splice place, and passes to host computer; Step 2: host computer carries out Treatment Analysis to the temperature data that monitoring node transmits, if the temperature data value that system host computer receives is higher than the threshold value of establishing in advance, system host computer will send instruction, carry out actuation of an alarm.Temperature numerical does integral operation in a period of time interval, averages.In described step 2, threshold value setting procedure is: a. gathers environment temperature parameter; B. environment temperature parameter is normalized; C. to sampled value Fuzzy processing; D. fuzzy reasoning process is carried out; E. based on neural network learning process; F. output alarm threshold value.
The present invention has following good effect: the present invention, by the temperature of monitoring cable joint, prevents temperature of cable junction too high, breaks down, affect cable power transmission.
Accompanying drawing explanation
Fig. 1 is specific embodiment of the invention Threshold detection algorithm flow chart;
Fig. 2 is specific embodiment of the invention fuzzy neural network algorithm process flow diagram.
Embodiment
Contrast accompanying drawing below, by the description to embodiment, the specific embodiment of the present invention is as the effect of the mutual alignment between the shape of involved each component, structure, each several part and annexation, each several part and principle of work, manufacturing process and operation using method etc., be described in further detail, have more complete, accurate and deep understanding to help those skilled in the art to inventive concept of the present invention, technical scheme.
As long as thinking of the present invention is: monitoring node gathers the Temperature numerical at cable splice place, system host computer carries out Treatment Analysis to the temperature data transmitted monitoring node, if the temperature data value that system host computer receives is higher than the threshold value of establishing in advance, system host computer will send instruction, carry out actuation of an alarm.The Threshold detection algorithm that the present invention adopts is exactly compared with the normal threshold value arranged before by the number needing to detect, and the data meeting thresholding are saved, and other data are then directly filtered.In the present invention, when the temperature data value that host computer receives is higher than fixed threshold, the host computer of system will send instruction and report to the police.As Fig. 1, it is Threshold detection algorithm flow chart of the present invention.
As in Fig. 1, input signal x (t) is defined as the temperature data passed to host computer and carry out showing, by signal processing module, data are processed, then the signal of y (t)=T [x (t)] is exported, whether the temperature signal received by judging finally by thresholding is normal, and makes corresponding feedback by D [y (t)].Formula is as follows:
（1）
In formula (1), the state of D [y (t)] residing for 1 and 0 expression system respectively, reports to the police and normally, S is set threshold value.In the system of reality, always there will be the undesired signal not wishing to see.In order to improve stability and the reliability of detection system, just need to consider the undesired signal of monitoring node at that time in residing environment in design, as electric pulse point cutting edge of a knife or a sword, electromagnetic interference (EMI) etc.So the data-signal shown by upper computer end is averaged, delay process is beneficial to the temperature data showing node.In specific a period of time interval, integral operation is done to temperature data signal x (t), averages, shown in (2):
（2）
In formula (2), Δ t=t – t
0it is the average time interval of Operation system setting.Mean value X (t) of the temperature data signal received when host computer in section sometime higher than fixed gate limit value S after, differentiate that performance element will send instruction, report to the police.The setting of this Δ t value can have a great impact the average effect of the temperature data signal that host computer receives.If Δ t sets too small, just cannot the undesired signal caused by pulse effectively be suppressed, so will the differentiation of influential system, the validity of reduction systems axiol-ogy; If Δ t sets excessive, the smoothingtime of the temperature data signal that monitoring node transmits will be increased, then can cause the generation of delayed alarm event, or there will be the accident of failing to report.The present invention considers that temperature of cable junction inertia is very large, and temperature variation is comparatively slow, so Δ t of the present invention is set in 5 sense cycle.
Because the too high meeting of temperature of cable junction directly causes the damage of cable, but, surrounding environment can take away the portion temperature of cable splice, so threshold value setting of the present invention is not fixing threshold value, but change with the temperature of environment, the present invention adopts fuzzy PID algorithm to set alarm threshold value, and its flow process as shown in Figure 2.Can find out when carrying out structure of fuzzy neural network design in the drawings, first need to sample to environment temperature parameter, and gathered data are carried out the process of normalization and obfuscation, utilize Fuzzy inferential engine in conjunction with the learning process of neural network afterwards, realize the output of alarm threshold value.
If there is N number of environment temperature sample area, each sampled point is assigned with m sensor and carries out temperature sampling, then the sampling average in i-th sample area is for shown in (3) formula:
（3）
Temperature sampling standard deviation in i-th sample area is for shown in formula (4):
(4)
Sampled value normalization representation then in i-th sample area is for shown in formula (5):
（5）
Sampled value in i-th sample area adopts the average after normalized for shown in formula (6):
The fundamental function that the neural network designed herein uses is for shown in formula (7):
（7）
Suppose that in the current level in neural network, in certain neuron and later layer, certain neuronic connection weight is w
ijif be input as xi between these two neurons, then export and be:
（8）
Neural network utilizes weights different between each neuron, can approach any nonlinear relation by the form of linear function.In order to enable neural network possess study and adaptive ability, can be trained neural network by great amount of samples data, dynamically adjusting each neuronic weight in neural network, realizing the learning process of neural network.During neural network learning, by Feedback error, realize the adjustment of weight.
Δ x in formula
ion () is the error amount in current current sample training.This value is utilized to recalculate x
io(n), thus can realize weight adjusting original in function.
Above by reference to the accompanying drawings to invention has been exemplary description; obvious specific implementation of the present invention is not subject to the restrictions described above; as long as have employed the improvement of the various unsubstantialities that method of the present invention is conceived and technical scheme is carried out; or design of the present invention and technical scheme directly applied to other occasion, all within protection scope of the present invention without to improve.
Claims (3)
1. a temperature of cable junction method for early warning, is characterized in that: comprise the steps:
Step one: monitoring node gathers the Temperature numerical at cable splice place, and passes to host computer;
Step 2: host computer carries out Treatment Analysis to the temperature data that monitoring node transmits, if the temperature data value that system host computer receives is higher than the threshold value of establishing in advance, system host computer will send instruction, carry out actuation of an alarm.
2. temperature of cable junction method for early warning according to claim 1, is characterized in that: Temperature numerical does integral operation in a period of time interval, averages.
3. temperature of cable junction method for early warning according to claim 1, is characterized in that: in described step 2, threshold value setting procedure is:
A. environment temperature parameter is gathered;
B. environment temperature parameter is normalized;
C. to sampled value Fuzzy processing;
D. fuzzy reasoning process is carried out;
E. based on neural network learning process;
F. output alarm threshold value.
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| CN201410550178.3A CN104596656A (en) | 2014-10-17 | 2014-10-17 | Temperature early warning method of cable joint |
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| CN201410550178.3A CN104596656A (en) | 2014-10-17 | 2014-10-17 | Temperature early warning method of cable joint |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105716664A (en) * | 2016-04-12 | 2016-06-29 | 国家电网公司 | Cable state monitoring multiparameter correlation analysis method based on per-unit algorithm |
| CN109285331A (en) * | 2018-11-29 | 2019-01-29 | 国网上海市电力公司 | A kind of Temperature of Power Cables early warning system based on data analysis and temperature prediction |
| CN109596886A (en) * | 2018-12-05 | 2019-04-09 | 合肥能安科技有限公司 | A kind of contact resistance on-Line Monitor Device and method |
| CN110598905A (en) * | 2019-08-08 | 2019-12-20 | 广东毓秀科技有限公司 | Method for predicting thermal runaway of rail-to-rail cable through multipoint data acquisition |
| CN111141419A (en) * | 2019-12-30 | 2020-05-12 | 国家电网有限公司 | Cable temperature data processing method and device |
| CN111579121A (en) * | 2020-05-08 | 2020-08-25 | 上海电享信息科技有限公司 | Method for diagnosing temperature fault in new energy automobile battery pack on line based on big data |
| CN113917287A (en) * | 2021-11-22 | 2022-01-11 | 国家电网有限公司 | Substation bus joint discharge heating fault monitoring system |
| CN114077219A (en) * | 2021-09-29 | 2022-02-22 | 郑州祥煜电气技术有限公司 | Cable protection system based on optical fiber vibration |
| CN114414931A (en) * | 2022-03-29 | 2022-04-29 | 北京航天和兴科技股份有限公司 | Cable network monitoring and detecting system and detecting method thereof |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105716664A (en) * | 2016-04-12 | 2016-06-29 | 国家电网公司 | Cable state monitoring multiparameter correlation analysis method based on per-unit algorithm |
| CN109285331A (en) * | 2018-11-29 | 2019-01-29 | 国网上海市电力公司 | A kind of Temperature of Power Cables early warning system based on data analysis and temperature prediction |
| CN109596886A (en) * | 2018-12-05 | 2019-04-09 | 合肥能安科技有限公司 | A kind of contact resistance on-Line Monitor Device and method |
| CN110598905A (en) * | 2019-08-08 | 2019-12-20 | 广东毓秀科技有限公司 | Method for predicting thermal runaway of rail-to-rail cable through multipoint data acquisition |
| CN111141419A (en) * | 2019-12-30 | 2020-05-12 | 国家电网有限公司 | Cable temperature data processing method and device |
| CN111579121A (en) * | 2020-05-08 | 2020-08-25 | 上海电享信息科技有限公司 | Method for diagnosing temperature fault in new energy automobile battery pack on line based on big data |
| CN114077219A (en) * | 2021-09-29 | 2022-02-22 | 郑州祥煜电气技术有限公司 | Cable protection system based on optical fiber vibration |
| CN113917287A (en) * | 2021-11-22 | 2022-01-11 | 国家电网有限公司 | Substation bus joint discharge heating fault monitoring system |
| CN114414931A (en) * | 2022-03-29 | 2022-04-29 | 北京航天和兴科技股份有限公司 | Cable network monitoring and detecting system and detecting method thereof |
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Application publication date: 20150506 |