CN109633375A - A kind of power distribution network safe distance recognition methods and device - Google Patents
A kind of power distribution network safe distance recognition methods and device Download PDFInfo
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- CN109633375A CN109633375A CN201811572308.8A CN201811572308A CN109633375A CN 109633375 A CN109633375 A CN 109633375A CN 201811572308 A CN201811572308 A CN 201811572308A CN 109633375 A CN109633375 A CN 109633375A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/02—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/12—Measuring electrostatic fields or voltage-potential
- G01R29/14—Measuring field distribution
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
Abstract
This application discloses a kind of power distribution network safe distance recognition methods and devices, the described method includes: at selection test, and obtain the mutual distance at the test between multiple test points, the field strength of the distance between multiple test points and high-voltage power supply and the test point；According to the field strength of mutual distance and the test point between multiple test points, the magnetic field gradient at the test is calculated；According to the magnetic field gradient and the distance between multiple test points and high-voltage power supply, the nonparametric Regression Model between electric field strength and safe distance is established；It brings the field strength of setting into the nonparametric Regression Model, obtains the safe distance of the setting.Power distribution network safe distance recognition methods in the application solves the problems, such as that safe distance can not be accurately identified in power distribution network operation field, has the scope of application wider, and accuracy is higher, convenient test, it is safe and efficient the advantages that.
Description
Technical field
This application involves power distribution network safety work technical field more particularly to a kind of power distribution network safe distance recognition methods and
Device.
Background technique
Since power distribution network is directly facing user, failure will directly influence the normal power supply of user, according to statistics, China's electricity
Power user's power-off event nearly 90% is as caused by low and medium voltage distribution network, and power distribution network is also the master for causing electrical energy power quality disturbance problem
Want factor.Increase and connection complexity in face of power distribution network power demands are increased, real-time monitoring is carried out to distribution, make an inspection tour and
Maintenance is the key that guarantee distribution stable operation.
Currently, the inspection work of power distribution network is maked an inspection tour and overhauled by the operator for wearing simple safeguard, grasp
Making personnel need to guarantee to be located in safe distance when carrying out inspection work, and safe distance, that is, safety regulation for operations defined is most short
Distance will have Danger Electric shock risk more than safe distance human body.Existing safe distance recognition methods is by electric field strength index
Decaying is to judge safe distance.
Identify that safe distance is not particularly suited for complicated electric field due to the decaying by electric field strength index, and in power distribution network
Field distribution be it is sufficiently complex, the safe distance of setting in power distribution network cannot in the above way be recognized accurately.Therefore,
Need to design a kind of recognition methods of power distribution network safe distance.
Summary of the invention
This application provides a kind of power distribution network safe distance recognition methods and devices, in the prior art cannot be accurate with solution
The technical issues of identifying safe distance in power distribution network.
In order to solve the above-mentioned technical problem, the embodiment of the present application discloses following technical solution:
In a first aspect, the embodiment of the present application discloses a kind of power distribution network safe distance recognition methods, which comprises
It selects at test, and obtains the mutual distance at the test between multiple test points, multiple test points and high pressure
The field strength of the distance between source and the test point；
According to the field strength of mutual distance and the test point between multiple test points, the field at the test is calculated
Strong gradient；
According to the magnetic field gradient and the distance between multiple test points and high-voltage power supply, electric field strength and safe distance are established
Between nonparametric Regression Model；
It brings the field strength of setting into the nonparametric Regression Model, obtains the safe distance of the setting.
Optionally, in above-mentioned power distribution network safe distance recognition methods, the field strength of setting is being brought into the recurrence mould
Type, after obtaining the safe distance of the setting, the method also includes:
The safe distance of the setting is compared by default safe distance threshold value with the safety distance threshold；
If the safe distance of the setting is more than the safety distance threshold, safety instruction is carried out.
Optionally, it in above-mentioned power distribution network safe distance recognition methods, selects at test, and obtain multiple at the test
Mutual distance between test point, the field strength of the distance between multiple test points and high-voltage power supply and the test point, comprising:
5 test points are selected, the test point is respectively provided with field strength detection sensor.
Optionally, in above-mentioned power distribution network safe distance recognition methods, according between multiple test points it is mutual away from
From and the test point field strength, calculate the magnetic field gradient at the test, comprising:
The field strength calculated between multiple test points is poor, is expressed as Δ xij, the distance between multiple described test points difference,
It is expressed as Δ yij；
Magnetic field gradient at the test indicates are as follows:In formula, i and j distinguish i-th and j-th of test point.
Optionally, in above-mentioned power distribution network safe distance recognition methods, the nonparametric Regression Model is indicated are as follows: Y=α
(X)+k；
In formula, X is electric field intensity gradient, is indicated are as follows: X=[X1 X2 X3 X4 X5]T；Y is distance, is indicated are as follows: Y=(y1,
y2…y5)T；K is random error；α (X) is core function, is indicated are as follows:Wherein, k1=(1,
0,0,0,0)T, W is weight, Wi>=0, i=1,2 ..., n, ∑ Wi=1.
Optionally, in above-mentioned power distribution network safe distance recognition methods, according to the magnetic field gradient and multiple test points
The distance between high-voltage power supply is established after the nonparametric Regression Model between electric field strength and safe distance, and the method is also
Include:
Measure the field strength under different high-tension line arrangement modes；
According to the measured value of the field strength, the nonparametric Regression Model is revised.
Optionally, in above-mentioned power distribution network safe distance recognition methods, the safety instruction is voice broadcast or photoelectricity
Alarm.
Second aspect, the embodiment of the present application disclose a kind of power distribution network safe distance identification device, and described device includes: pre-
Alert safety cap, and be arranged in the warning helmet data acquisition module, data processing module, safety instruction module with
And multiple field strength detection sensors, in which:
Multiple field strength detection sensors interconnect, and with the data acquisition module communication connection, the number
According to acquisition module and the equal communication connection of safety instruction module in the data processing module；
The data acquisition module, for obtaining the mutual distance between multiple field strength detection sensors, multiple field strength inspections
Survey the field strength of the distance between sensor and high-voltage power supply and multiple field strength detection sensors；
The data processing module be equipped with algorithm submodule, the algorithm submodule for generate electric field strength and safety away from
Nonparametric Regression Model between, the data processing module are used to bring the field strength of setting into the non parametric regression mould
Type calculates the safe distance of setting；
The data processing module is also used to the big of the safe distance of setting described in comparison and default safe distance threshold value
It is small, when the safe distance of the setting be more than the default safe distance threshold value when, then control the safety instruction module into
Row safety instruction.
Optionally, in above-mentioned power distribution network safe distance identification device, the quantity of the field strength detection sensor is 5,
It is respectively arranged at the top of the warning helmet and the quartering point of cap hoop.
Optionally, in above-mentioned power distribution network safe distance identification device, the safety instruction module is combined aural and visual alarm.
Compared with prior art, the application has the beneficial effect that
This application provides a kind of power distribution network safe distance recognition methods and devices, which comprises at selection test,
And obtain the mutual distance at the test between multiple test points, the distance between multiple test points and high-voltage power supply, Yi Jisuo
State the field strength of test point；According to the field strength of mutual distance and the test point between multiple test points, the survey is calculated
Magnetic field gradient at examination；According to the magnetic field gradient and the distance between multiple test points and high-voltage power supply, establish electric field strength with
Nonparametric Regression Model between safe distance；It brings the field strength of setting into the nonparametric Regression Model, obtains the work
The safe distance of industry point.In the application by test point under the different operating conditions under power distribution network 10kV voltage class and high-voltage power supply it
Between distance, electric field strength measure, obtain the measured value of distance and the calculated value of magnetic field gradient, analysis magnetic field gradient with away from
Relationship between establishes the nonparametric Regression Model between electric field strength and safe distance.At setting in power distribution network
Field strength measures to obtain magnetic field gradient, which is brought into established nonparametric Regression Model, obtains safe distance.
Present application addresses the problem of power distribution network operation field can not accurately identify safe distance, have the scope of application wider, accurately
Spend it is higher, convenient test, it is safe and efficient the advantages that.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The application can be limited.
Detailed description of the invention
In order to illustrate more clearly of the technical solution of the application, letter will be made to attached drawing needed in the embodiment below
Singly introduce, it should be apparent that, for those of ordinary skills, without creative efforts, also
Other drawings may be obtained according to these drawings without any creative labor.
Fig. 1 is a kind of flow diagram of power distribution network safe distance recognition methods provided in an embodiment of the present invention；
Fig. 2 is a kind of basic structure schematic diagram of power distribution network safe distance identification device provided in an embodiment of the present invention；
Fig. 3 is the schematic view of the mounting position of field strength detection sensor provided in an embodiment of the present invention；
Description of symbols: 1, warning helmet；2, field strength detection sensor；3, data acquisition module；4, data processing
Module；5, safety instruction module.
Specific embodiment
In order to make those skilled in the art better understand the technical solutions in the application, below in conjunction with the application reality
The attached drawing in example is applied, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described implementation
Example is only some embodiments of the present application, rather than whole embodiments.Based on the embodiment in the application, the common skill in this field
The application protection all should belong in art personnel every other embodiment obtained without making creative work
Range.
Referring to Fig. 1, for a kind of flow diagram for power distribution network safe distance recognition methods that inventive embodiments provide.In conjunction with
Fig. 1 can be obtained, the present invention implement provide the recognition methods of power distribution network safe distance the following steps are included:
Step S101: at selection test, and the mutual distance at the test between multiple test points is obtained, multiple tests
The field strength of the distance between point and high-voltage power supply and the test point；
In the application, 5 test points are chosen at the test, are provided with field strength detection in 5 test points and are passed
Sensor.The mutual distance between 5 test points is obtained, and measures the field of 5 test points by field strength detection sensor
By force, i.e., the electric field strength in 5 directions, is denoted as: x1、x2、x3、x4And x5, obtain between 5 test points and high-voltage power supply away from
From being denoted as: y1、y2、y3、y4And y5。
Step S102: according to the field strength of mutual distance and the test point between multiple test points, described in calculating
Magnetic field gradient at test；
5 field strength detection sensors (P1, P2, P3, P4, P5) are laid out according to specific space geometry positional relationship, due to
The distance between each field strength detection sensor and high-voltage power supply are that not identical and closer from high-voltage power supply field strength detection passes
The surveyed field intensity value of sensor is bigger.The difference of the field strength measurement value of two field strength detection sensors, is expressed as Δ xij, field strength detection sensing
The distance between device difference is expressed as Δ yij(i, j indicate i-th, j field strength detection sensor, i.e., i-th and j-th of test point),
Ratio between the two is the magnetic field gradient X at test, is expressed as
In the application, corresponding electric field intensity gradient X=is calculated according to 5 field strength detection sensor space layout relationships
[X1 X2 X3 X4 X5]T。
Since power distribution network construction site electromagnetic environment is extremely complex, the irregular distribution of electric field can be followed, operation field point
Field strength is nonlinear correlation with the point to field source distance, and has great relevance, therefore this with the working condition of equipment
Invention is used to carry out feature identification to the magnetic field gradient of electric field using the method for Fusion, while each by acquisition
The space length relationship of the field intensity value and corresponding field strength detection sensor surveyed on a electric-field sensor obtains more accurate
Electric field strength gradient value.
Step S103: according to the magnetic field gradient and the distance between multiple test points and high-voltage power supply, electric field strength is established
Nonparametric Regression Model between safe distance；
The step of establishing the nonparametric Regression Model between electric field strength and safe distance is as follows:
If variable X is electric field strength, Y is distance, has one group of data about X and Y from model Y=α (X)+k,
Middle k is random error, and α (x) is core function.Nonparametric Regression Model has stronger adaptability, models deviation side reducing
Face is very flexible, in non-parametric estmation, uses Local Polynomial method, each neighborhood of a point to be estimated is interior with a m rank
Multinomial is fitted, and by weighted least-squares method obtains function in the estimation of the point.
Assuming that regression function α (x) has m+1 order derivative, by Taylor series expansion:
α (u)=β0+β1(u-x)+β2(u-x)2+L+βm(u-x)m。
Assuming that sample is (Xi, Yi), i=1, the estimation of 2,3 ... n, regression function α (x) are as follows:
Wherein, k1=(1,0,0,0,0)T, it is m+1 dimensional vector that only first element, which is 1,；
W is weight, Wi>=0, i=1,2 ..., n, Σ Wi=1, that is, it is equal to x or depends on very those of close X of xi, corresponding to weigh
It is larger, on the contrary the power of little Quan or zero, it indicates are as follows: W=diag { Ln(x1-x),K,Kn(xn-x)}；
Y is distance, and Y is indicated are as follows: Y=(Y1,Y2…Yn)T；
X is electric field intensity gradient, and X is indicated are as follows: X=[X1 X2 X3 X4 X5]T；
It brings α (x) into nonparametric Regression Model Y=α (X)+k, finally obtains non-between electric field strength and safe distance
Partial Linear Models.
The application is under default operating condition 10kV distribution network voltage grade, at interval of certain pre-determined distance to test point and height
The distance between potential source takes multiple measurements and is averaged, and obtains multiple calibration spacing.Wherein, pre-determined distance is to be manually set
, this distance is accurate, such as: the distance can be set to 10cm, 20cm etc., and demarcating spacing then is surveyed using distance
Quantity sensor pre-determined distance is measured after processing result, pre-determined distance and demarcate spacing difference be range measurement sensing
The measurement error of device.Under the default operating condition distribution 10kV voltage class, at interval of the pre-determined distance, repeatedly measurement test
The electric field strength of point takes, and average value and calculates, and obtains multiple calibration magnetic field gradients.To multiple calibration spacing and Calibration Field
Strong gradient carries out polynomial regression analysis, and foundation obtains the electric field strength under the power distribution network operating condition and the non-ginseng between safe distance
Number regression model.
In order to further optimize the above technical scheme, the application measures the field strength under different high-tension line arrangement modes, root
According to the measured value of the field strength, the nonparametric Regression Model is revised.It establishes between electric field strength and safe distance
When nonparametric Regression Model, the difference of high-voltage construction environment need to be considered while extracting universal model, model is modified.
For different high-tension line arrangement modes, field strength is measured, nonparametric Regression Model is carried out using field strength measurement value
Revision, obtains the nonparametric Regression Model for adapting to this kind of high voltage transmission line arrangement mode.
Step S104: bringing the field strength of setting into the nonparametric Regression Model, obtain the setting safety away from
From.
After this step, this method further include: default safe distance threshold value, by the safe distance of the setting and institute
It states safety distance threshold to be compared, if the safe distance of the setting is more than the safety distance threshold, carries out safety
Prompt, the safety instruction are voice broadcast or photoelectric alarm.Safety instruction can remind electric operating personnel's work at present
Point needs to take action with caution, enhances the sense of risk of electric operating personnel, improve there may be certain security risk
Electric operating safety.
To sum up, by under the different operating conditions under power distribution network 10kV voltage class between test point and high-voltage power supply in the application
Distance, electric field strength measure, obtain the measured value of distance and the calculated value of magnetic field gradient, analyze magnetic field gradient and distance
Between relationship, establish the nonparametric Regression Model between electric field strength and safe distance.To the field at setting in power distribution network
It measures to obtain magnetic field gradient by force, which is brought into established nonparametric Regression Model, obtains safe distance, and
Can default safe distance threshold value, the safe distance of setting is compared with safety distance threshold, if the setting
Safe distance is more than the safety distance threshold, then carries out safety instruction.Present application addresses can not in power distribution network operation field
The problem of accurately identifying safe distance, have the scope of application it is wider, accuracy is higher, convenient test, it is safe and efficient the advantages that.
The embodiment of the invention also provides a kind of power distribution network safe distance identification devices, are the embodiment of the present invention referring to fig. 2
A kind of basic structure schematic diagram of the power distribution network safe distance identification device provided.In conjunction with Fig. 2, described device includes: early warning peace
Full cap 1, and the data acquisition module 3, the data processing module 4, safety instruction module 5 that are arranged in the warning helmet 1
And multiple field strength detection sensors 2, in which: multiple field strength detection sensors 2 interconnect, and obtain with the data
3 communication connection of modulus block, the data acquisition module 3 and the equal communication connection of the safety instruction module 5 are in the data processing
Module 4；
The data acquisition module 3, for obtaining the mutual distance between multiple field strength detection sensors 2, multiple field strength
The field strength of the distance between detection sensor 2 and high-voltage power supply and multiple field strength detection sensors 2；
The data processing module 4 is equipped with algorithm submodule, and the algorithm submodule is for generating electric field strength and safety
Nonparametric Regression Model between distance, the data processing module are used to bring the field strength of setting into the non parametric regression
Model calculates the safe distance of setting；
The data processing module 4 is also used to the big of the safe distance of setting described in comparison and default safe distance threshold value
It is small, when the safe distance of the setting be more than the default safe distance threshold value when, then control the safety instruction module 5 into
Row safety instruction.
It is the schematic view of the mounting position of field strength detection sensor provided in an embodiment of the present invention referring to Fig. 3.As shown in Figure 3,
The quantity of the field strength detection sensor 2 is 5 (P1, P2, P3, P4 and P5), is respectively arranged at the top of the warning helmet 1
At the quartering of portion and cap hoop point.In addition, the safety instruction module 5 is combined aural and visual alarm.It is overhauled in distribution network transmission line
In the process, electric operating personnel can carry power distribution network safe distance identification device and enter distribution operations involving high pressure scene, in distribution height
If pressure operation field can be carried out intuitive safe distance to electric operating personnel real-time voice casting prompt or safety away from
It will greatly be reduced from early warning and unnecessary personal safety accident is caused to the erroneous judgement of safe distance due to electric operating personnel.
Since embodiment of above is that reference combination is illustrated on other modes, have between different embodiments
There is identical part, identical, similar part may refer to each other between each embodiment in this specification.Herein no longer in detail
It illustrates.
It should be noted that in the present specification, the relational terms of such as " first " and " second " or the like are used merely to
It distinguishes one entity or operation from another entity or operation, and not necessarily requires or imply these entities or operation
Between there are any this actual relationship or sequences.Moreover, the terms "include", "comprise" or its any other variant are intended to
Cover non-exclusive inclusion, so that the circuit structure, article or the equipment that include a series of elements not only include those
Element, but also including other elements that are not explicitly listed, or further include for this circuit structure, article or equipment
Intrinsic element.In the absence of more restrictions, the element for thering is sentence "including a ..." to limit, it is not excluded that
There is also other identical elements in circuit structure, article or equipment including the element.
Those skilled in the art will readily occur to its of the application after considering specification and practicing the disclosure invented here
His embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or
Person's adaptive change follows the general principle of the application and including the undocumented common knowledge in the art of the application
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the application are wanted by right
The content asked is pointed out.
Above-described the application embodiment does not constitute the restriction to the application protection scope.
Claims (10)
1. a kind of power distribution network safe distance recognition methods, which is characterized in that the described method includes:
Select and to obtain the mutual distance at the test between multiple test points at test, multiple test points and high-voltage power supply it
Between distance and the test point field strength；
According to the field strength of mutual distance and the test point between multiple test points, the field strength ladder at the test is calculated
Degree；
According to the magnetic field gradient and the distance between multiple test points and high-voltage power supply, establish between electric field strength and safe distance
Nonparametric Regression Model；
It brings the field strength of setting into the nonparametric Regression Model, obtains the safe distance of the setting.
2. power distribution network safe distance recognition methods according to claim 1, which is characterized in that by the field strength band of setting
Enter the regression model, after obtaining the safe distance of the setting, the method also includes:
The safe distance of the setting is compared by default safe distance threshold value with the safety distance threshold；
If the safe distance of the setting is more than the safety distance threshold, safety instruction is carried out.
3. power distribution network safe distance recognition methods according to claim 1, which is characterized in that at selection test, and obtain
Mutual distance at the test between multiple test points, the distance between multiple test points and high-voltage power supply and the test
The field strength of point, comprising: 5 test points of selection, the test point are respectively provided with field strength detection sensor.
4. power distribution network safe distance recognition methods according to claim 1, which is characterized in that according to multiple test points
Between mutual distance and the test point field strength, calculate the magnetic field gradient at the test, comprising:
The field strength calculated between multiple test points is poor, is expressed as Δ xij, the distance between multiple described test points difference, expression
For Δ yij；
Magnetic field gradient at the test indicates are as follows:In formula, i and j distinguish i-th and j-th of test point.
5. power distribution network safe distance recognition methods according to claim 1, which is characterized in that the nonparametric Regression Model
It indicates are as follows: Y=α (X)+k；
In formula, X is electric field intensity gradient, is indicated are as follows: X=[X1 X2 X3 X4 X5]T；Y is distance, is indicated are as follows: Y=(y1,y2…
y5)T；K is random error；α (X) is core function, is indicated are as follows:Wherein, k1=(1,0,0,
0,0)T, W is weight, Wi>=0, i=1,2 ..., n, Σ Wi=1.
6. power distribution network safe distance recognition methods according to claim 1, which is characterized in that according to the magnetic field gradient
And the distance between multiple test points and high-voltage power supply, establish nonparametric Regression Model between electric field strength and safe distance it
Afterwards, the method also includes:
Measure the field strength under different high-tension line arrangement modes；
According to the measured value of the field strength, the nonparametric Regression Model is revised.
7. power distribution network safe distance recognition methods according to claim 2, which is characterized in that the safety instruction is voice
Casting or photoelectric alarm.
8. a kind of power distribution network safe distance identification device, which is characterized in that described device includes: warning helmet, and setting
Data acquisition module, data processing module, safety instruction module and the detection of multiple field strength in the warning helmet pass
Sensor, in which:
Multiple field strength detection sensors interconnect, and with the data acquisition module communication connection, the data are obtained
Modulus block and the equal communication connection of safety instruction module are in the data processing module；
The data acquisition module, for obtaining the mutual distance between multiple field strength detection sensors, multiple field strength detections are passed
The field strength of the distance between sensor and high-voltage power supply and multiple field strength detection sensors；
The data processing module is equipped with algorithm submodule, the algorithm submodule for generate electric field strength and safe distance it
Between nonparametric Regression Model, the data processing module is used to bring the field strength of setting into the nonparametric Regression Model,
Calculate the safe distance of setting；
The data processing module is also used to the safe distance of setting described in comparison and the size of default safe distance threshold value, when
When the safe distance of the setting is more than the default safe distance threshold value, then controls the safety instruction module and carry out safety
Prompt.
9. power distribution network safe distance identification device according to claim 8, which is characterized in that the field strength detection sensor
Quantity be 5, be respectively arranged at the top of the warning helmet and the quartering point of cap hoop.
10. power distribution network safe distance identification device according to claim 8, which is characterized in that the safety instruction module
For combined aural and visual alarm.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112688434A (en) * | 2021-01-15 | 2021-04-20 | 广州穗能通能源科技有限责任公司 | Monitoring and early warning method and device for power transmission and distribution line, computer equipment and medium |
| CN115343542A (en) * | 2022-10-18 | 2022-11-15 | 国网浙江省电力有限公司宁波市北仑区供电公司 | Method, device, equipment and medium for marking safe operation range of operator |
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Inventor after: Xu Xiaowei Inventor after: Ning Youhuan Inventor after: Tian Xiaohang Inventor after: Xiang Enxin Inventor after: Liu Hongwen Inventor before: Ning Youhuan Inventor before: Xu Xiaowei Inventor before: Xiang Enxin Inventor before: Liu Hongwen |
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Application publication date: 20190416 |