CN117456695A - Defect early warning method, device, equipment and medium for power grid power transmission equipment - Google Patents
Defect early warning method, device, equipment and medium for power grid power transmission equipment Download PDFInfo
- Publication number
- CN117456695A CN117456695A CN202311491192.6A CN202311491192A CN117456695A CN 117456695 A CN117456695 A CN 117456695A CN 202311491192 A CN202311491192 A CN 202311491192A CN 117456695 A CN117456695 A CN 117456695A
- Authority
- CN
- China
- Prior art keywords
- power transmission
- transmission equipment
- determining
- tolerance
- characteristic polynomial
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005540 biological transmission Effects 0.000 title claims abstract description 214
- 230000007547 defect Effects 0.000 title claims abstract description 81
- 238000000034 method Methods 0.000 title claims abstract description 53
- 239000011159 matrix material Substances 0.000 claims abstract description 75
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 238000001931 thermography Methods 0.000 claims abstract description 13
- 230000006870 function Effects 0.000 claims description 35
- 238000004590 computer program Methods 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 14
- 238000004891 communication Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/20—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from infrared radiation only
- H04N23/23—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from infrared radiation only from thermal infrared radiation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Toxicology (AREA)
- Emergency Management (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Quality & Reliability (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The embodiment of the invention discloses a defect early warning method, device, equipment and medium for power transmission equipment of a power grid. Wherein the method comprises the following steps: performing infrared thermal imaging on the region to be detected to obtain a target infrared image, and performing target detection on the target infrared image to obtain equipment position information corresponding to at least two phases of power transmission equipment; determining a temperature characteristic matrix of at least two-phase power transmission equipment according to temperature information corresponding to the equipment position information, and determining characteristic polynomial coefficients of the temperature characteristic matrix; determining characteristic polynomial coefficient tolerance between each two-phase power transmission equipment according to the characteristic polynomial coefficient, and determining tolerance occupation ratio of each two-phase power transmission equipment according to the characteristic polynomial coefficient tolerance; and determining whether to start defect early warning of the power transmission equipment according to the tolerance occupation ratio. According to the technical scheme, the defects of the power transmission equipment of the power grid can be accurately and efficiently detected based on the temperature characteristics of the power transmission equipment, meanwhile, the detection cost can be reduced, and the safety and stability operation of the power transmission line of the power grid can be guaranteed.
Description
Technical Field
The present invention relates to the field of defect detection technologies, and in particular, to a defect early warning method, device, equipment, and medium for power grid power transmission equipment.
Background
With the continuous development of the electric power infrastructure of China, the power distribution network equipment and the line mileage are more and more. The power grid power transmission equipment in the power grid infrastructure system plays roles of supporting and insulating, is used as an indispensable component in a power transmission line, and has the characteristics of huge consumption, various types and easy damage. Therefore, it is particularly important to carry out inspection on the power transmission equipment of the power grid and maintain the power transmission equipment of the power grid with defects so as to ensure safe and stable operation of the power transmission line of the power grid.
The defect detection of the traditional power grid power transmission equipment is mostly based on an infrared temperature measurement manual inspection method. However, the method has the problems of low execution efficiency, high risk, high professional requirements on patrol workers and strong manual subjective judgment. Therefore, the defect detection of the traditional power grid power transmission equipment has high labor cost and long detection period, the detection precision cannot be ensured, and the inspection requirement of the power grid power transmission equipment which is increased along with the development of the power infrastructure is difficult to meet.
Disclosure of Invention
The invention provides a defect early warning method, device, equipment and medium for power transmission equipment of a power grid, which can accurately and efficiently detect the defects of the power transmission equipment of the power grid based on the temperature characteristics of the power transmission equipment, can reduce the detection cost and is beneficial to ensuring the safe and stable operation of a power transmission line of the power grid.
According to an aspect of the present invention, there is provided a defect early warning method for a power grid power transmission device, the method including:
performing infrared thermal imaging on an area to be detected to obtain a target infrared image, and performing target detection on the target infrared image to obtain equipment position information corresponding to at least two phases of power transmission equipment; the region to be detected comprises at least two-phase power transmission equipment, and the target infrared image carries temperature information;
determining a temperature characteristic matrix of the at least two-phase power transmission equipment according to temperature information corresponding to the equipment position information, and determining characteristic polynomial coefficients of the temperature characteristic matrix;
determining characteristic polynomial coefficient tolerance between every two phases of power transmission equipment according to the characteristic polynomial coefficient, and determining tolerance occupation ratio of every two phases of power transmission equipment according to the characteristic polynomial coefficient tolerance;
and determining whether to start defect early warning of the power transmission equipment according to the tolerance occupation ratio.
According to another aspect of the present invention, there is provided a defect warning apparatus for a power grid power transmission device, including:
the device position information determining module is used for carrying out infrared thermal imaging on a region to be detected to obtain a target infrared image, and carrying out target detection on the target infrared image to obtain device position information corresponding to at least two phases of power transmission devices; the region to be detected comprises at least two-phase power transmission equipment, and the target infrared image carries temperature information;
the characteristic polynomial coefficient determining module is used for determining a temperature characteristic matrix of the at least two-phase power transmission equipment according to the temperature information corresponding to the equipment position information and determining characteristic polynomial coefficients of the temperature characteristic matrix;
the tolerance occupation ratio determining module is used for determining the tolerance of the characteristic polynomial coefficient between the two-phase power transmission equipment according to the characteristic polynomial coefficient and determining the tolerance occupation ratio of the two-phase power transmission equipment according to the tolerance of the characteristic polynomial coefficient;
and the equipment defect early warning judging module is used for determining whether to start the power transmission equipment defect early warning according to the tolerance occupation ratio.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, so that the at least one processor can execute the defect early warning method of the power grid power transmission equipment according to any embodiment of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the defect warning method of the grid power transmission device according to any embodiment of the present invention when executed.
According to the technical scheme, infrared thermal imaging is conducted on the region to be detected to obtain a target infrared image, and target detection is conducted on the target infrared image to obtain equipment position information corresponding to at least two phases of power transmission equipment; the region to be detected comprises at least two phases of power transmission equipment, and the target infrared image carries temperature information; determining a temperature characteristic matrix of at least two-phase power transmission equipment according to temperature information corresponding to the equipment position information, and determining characteristic polynomial coefficients of the temperature characteristic matrix; determining characteristic polynomial coefficient tolerance between each two-phase power transmission equipment according to the characteristic polynomial coefficient, and determining tolerance occupation ratio of each two-phase power transmission equipment according to the characteristic polynomial coefficient tolerance; and determining whether to start defect early warning of the power transmission equipment according to the tolerance occupation ratio. According to the technical scheme, the defects of the power transmission equipment of the power grid can be accurately and efficiently detected based on the temperature characteristics of the power transmission equipment, meanwhile, the detection cost can be reduced, and the safety and stability operation of the power transmission line of the power grid can be guaranteed.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a defect early warning method for a power grid power transmission device according to a first embodiment of the present invention;
FIG. 2A is a schematic diagram of a region to be detected according to a first embodiment of the present invention;
FIG. 2B is a schematic illustration of an infrared image of a target according to a first embodiment of the present invention;
fig. 3 is a flowchart of a defect early warning method for a power grid power transmission device according to a second embodiment of the present invention;
fig. 4 is a schematic flow chart of a defect early warning method of a power grid power transmission device according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of a defect early warning device of a power grid power transmission device according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device for implementing a defect early warning method of a power grid power transmission device according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," "target," and the like in the description and claims of the present invention and in the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a defect early warning method for a power transmission device of a power grid, which is provided in an embodiment of the present invention, where the method may be performed by a defect early warning device of the power transmission device of the power grid, the defect early warning device of the power transmission device of the power grid may be implemented in hardware and/or software, and the defect early warning device of the power transmission device of the power grid may be configured in an electronic device with data processing capability. As shown in fig. 1, the method includes:
s110, performing infrared thermal imaging on the region to be detected to obtain a target infrared image, and performing target detection on the target infrared image to obtain equipment position information corresponding to at least two phases of power transmission equipment.
The to-be-detected area may be a target area waiting for defect detection of the power transmission device, and the to-be-detected area includes at least two phases of power transmission devices. The target infrared image may be an infrared image obtained after infrared thermal imaging is performed on the region to be detected, and the target infrared image carries temperature information. The device location information may be used to characterize the location of the power transmitting device in the target infrared image.
In this embodiment, first, an infrared thermal imaging is performed on a region to be detected by using a thermal infrared imager to obtain a target infrared image. Fig. 2A is a schematic diagram of a region to be detected according to an embodiment of the present invention. As shown in fig. 2A, a three-phase circuit breaker (power transmission apparatus) is included in the area to be detected. Fig. 2B is a target infrared image corresponding to fig. 2A. After the target infrared image is obtained, target detection can be carried out on the target infrared image to obtain equipment position information corresponding to at least two phases of power transmission equipment. For example, a target infrared image may be target detected using a target detection algorithm model in computer vision based on deep learning. Specifically, firstly, pre-training is performed by using infrared thermal image data of conventional power transmission equipment in a power grid to generate a weight model, and then power transmission equipment target detection is performed on a target infrared image by using the weight model, so that equipment position coordinates corresponding to each phase of power transmission equipment are generated.
For example, the device location coordinates may be represented as L i ＝(c x ,c y W, h, θ). Wherein i represents the label of the power transmission equipment in the target infrared image, L i Representing equipment position coordinates corresponding to power transmission equipment in target infrared image, c x And c y Respectively representing an x-axis (horizontal axis) coordinate and a y-axis (vertical axis) coordinate of a center point of the power transmission device in the target infrared image, w and h respectively represent a width and a height of the power transmission device in the target infrared image, and θ represents a rotation angle of the power transmission device in the target infrared image.
S120, determining a temperature characteristic matrix of at least two-phase power transmission equipment according to temperature information corresponding to the equipment position information, and determining characteristic polynomial coefficients of the temperature characteristic matrix.
In this embodiment, after obtaining the device location information corresponding to the at least two-phase power transmission device, the temperature feature matrix of the at least two-phase power transmission device may be determined according to the temperature information corresponding to the device location information. The temperature characteristic matrix can be used for representing temperature information characteristics of the power transmission equipment. Optionally, determining the temperature characteristic matrix of at least two-phase power transmission equipment according to the temperature information corresponding to the equipment position information includes: determining temperature information corresponding to the equipment position information as candidate temperature information; performing linear interpolation processing on the candidate temperature information based on a preset data dimension to obtain target temperature information corresponding to the candidate temperature information; and extracting the characteristics of the target temperature information to obtain a temperature characteristic matrix of at least two-phase power transmission equipment.
The preset data dimension may be a data dimension preset according to actual application requirements, such as n×n. In this embodiment, when determining the temperature feature matrix of at least two phases of power transmission equipment, first, temperature information corresponding to equipment position information of each phase of power transmission equipment is extracted from temperature information carried by a target infrared image to be used as candidate temperature information, then the candidate temperature information corresponding to each phase of power transmission equipment is expanded into two-dimensional matrix data with a preset data dimension (such as n×n) through linear interpolation processing, and the two-dimensional matrix data is used as target temperature information. And then, the target temperature information can be subjected to downsampling and feature extraction processing through a deep learning convolutional neural network, so that a temperature feature matrix with the size of m multiplied by m corresponding to each phase of power transmission equipment is obtained. Since the downsampling process is performed, m < n.
It should be noted that, due to the reasons of shooting position and angle, the number of pixels occupied by each phase of power transmission equipment in the same target infrared image may be different. In order to unify the sizes of the power transmission equipment of each phase in the target infrared image, the candidate temperature information can be expanded into target temperature information with the same data dimension in a linear interpolation mode, so that a temperature characteristic matrix with the same data dimension is obtained.
In this embodiment, after determining the temperature characteristic matrix of at least two-phase power transmission equipment, the characteristic polynomial coefficient of the temperature characteristic matrix may be further determined. Optionally, determining the characteristic polynomial coefficients of the temperature characteristic matrix includes: determining an accompanying matrix and a characteristic polynomial of the temperature characteristic matrix; wherein the characteristic polynomial comprises at least two characteristic polynomial undetermined coefficients; and solving undetermined coefficients of the characteristic polynomials according to the association relation between the accompanying matrix and the characteristic polynomials to obtain characteristic polynomial coefficients of the temperature characteristic matrix.
For example, assuming that the temperature characteristic matrix is denoted as A, the accompanying matrix of the temperature characteristic matrix is denoted as adj (A), and the characteristic polynomial of the temperature characteristic matrix is denoted as p 1 I+p 2 A+p 3 A 2 +…+p n A m-1 . Wherein the data dimension of A is m×m, I represents an identity matrix with the same data dimension as A, p 1 ，p 2 ，p 3 ...p m Representing the coefficient of uncertainty of the characteristic polynomial. An association relation adj (A) = - (p) according to the accompanying matrix and the characteristic polynomial 1 f+p 2 A+p 3 A 2 +…+p n A m-1 ) The coefficient p can be determined for various characteristic polynomials 1 ，p 2 ，p 3 ...p m And respectively solving, and taking the solving result as the characteristic polynomial coefficient of A.
According to the scheme, through the arrangement, the characteristic polynomial undetermined coefficients are solved based on the association relation between the accompanying matrix of the temperature characteristic matrix and the characteristic polynomial, and the characteristic polynomial coefficients of the temperature characteristic matrix can be rapidly and accurately determined.
S130, determining characteristic polynomial coefficient tolerance between every two phases of power transmission equipment according to the characteristic polynomial coefficient, and determining tolerance occupation ratio of every two phases of power transmission equipment according to the characteristic polynomial coefficient tolerance.
In this embodiment, after determining the characteristic polynomial coefficient of the temperature characteristic matrix, the characteristic polynomial coefficient tolerance between each two phases of power transmission equipment may be determined according to the characteristic polynomial coefficient. Optionally, determining the characteristic polynomial coefficient tolerance between each two phases of power transmission equipment according to the characteristic polynomial coefficient includes: determining a characteristic polynomial coefficient function of the temperature characteristic matrix according to the characteristic polynomial coefficient; the characteristic polynomial coefficient function refers to a polynomial function taking characteristic polynomial coefficients as coefficients; and determining the characteristic polynomial coefficient tolerance between every two phases of power transmission equipment according to the characteristic polynomial coefficient function.
Illustratively, assume that the characteristic polynomial coefficient of the temperature characteristic matrix is noted as p 1 ，p 2 ...p m Its corresponding characteristic polynomial coefficient function can be expressed as p (t) =p 1 t+p 2 t 2 +…+p m t m . Wherein p is 1 ，p 2 ...p m Each term of p (t).
In this embodiment, optionally, determining the characteristic polynomial coefficient tolerance between each two-phase power transmission device according to the characteristic polynomial coefficient function includes: determining a first parameter according to the difference value of the characteristic polynomial coefficient function of each two-phase power transmission equipment; determining a second parameter according to the square root of the characteristic polynomial coefficient function of each two-phase transmission equipment; and determining characteristic polynomial coefficient tolerance between every two phases of power transmission equipment according to the ratio of the first parameter to the second parameter.
By way of example, assuming that the grid power transmission device is a three-phase power transmission device (including a-phase, b-phase, and c-phase), the characteristic polynomial coefficient tolerance between each two-phase power transmission device may be determined by the following equation:
wherein ε ab Characteristic polynomial coefficient tolerance, epsilon, representing a phase and b phase in a three-phase power transmission device bc Characteristic polynomial coefficient tolerance, epsilon, representing b-phase and c-phase phases in a three-phase power transmission device ac Characteristic polynomial coefficient tolerance, p (t) a )、p(t b ) And p (t) c ) And respectively representing characteristic polynomial coefficient functions of a phase, b phase and c phase. By epsilon ab For example, p (t a )-p(t b ) Representing epsilon ab A corresponding first parameter is provided for the first time,representing epsilon ab And a corresponding second parameter.
In the scheme, various characteristic polynomial coefficients can be stored conveniently and quickly in the form of the characteristic polynomial coefficient function, and meanwhile, when the characteristic polynomial coefficient tolerance is calculated by utilizing the characteristic polynomial coefficient function, the calculation result is not influenced by introducing a function variable.
After determining the characteristic polynomial coefficient tolerance between each two-phase transmission apparatus, the tolerance occupancy ratio of each two-phase transmission apparatus may be further determined according to the characteristic polynomial coefficient tolerance. Optionally, determining the tolerance occupancy ratio of each two-phase power transmission device according to the characteristic polynomial coefficient tolerance includes: determining the overall tolerance of the characteristic polynomial coefficients according to the sum of absolute values of the tolerance of the characteristic polynomial coefficients of at least two-phase power transmission equipment; and determining the tolerance occupation ratio of each two-phase power transmission equipment according to the ratio of the absolute value of the tolerance of the characteristic polynomial coefficient between each two-phase power transmission equipment and the total tolerance of the characteristic polynomial coefficient.
Illustratively, taking a three-phase power transmission device (including a-phase, b-phase, and c-phase) as an example, the tolerance ratio per two-phase power transmission device may be determined by the following formula:
wherein p is i Representing the tolerance ratio of each two-phase transmission equipment, |epsilon ab |+|ε bc |+|ε ac And I represents the overall tolerance of the characteristic polynomial coefficients.
And S140, determining whether to start defect early warning of the power transmission equipment according to the tolerance occupation ratio.
In this embodiment, after determining the tolerance occupation ratio of each two-phase power transmission device, whether to start defect early warning of the power transmission device may be determined according to the tolerance occupation ratio. Optionally, determining whether to start defect early warning of the power transmission device according to the tolerance occupation ratio includes: if the allowance occupation ratio is larger than a preset threshold value, starting defect early warning of the power transmission equipment; otherwise, the defect early warning of the power transmission equipment is not started.
The preset threshold may be an early warning reference value preset according to actual application requirements. Specifically, each tolerance occupation ratio is respectively compared with a preset threshold, if the tolerance occupation ratio is larger than the preset threshold, the defect of the power transmission equipment is indicated, and at the moment, the defect early warning of the power transmission equipment is required to be started so as to timely inform a manager to further check and process the defect of the power transmission equipment; if the allowance occupation ratio is not larger than the preset threshold, the defect of the power transmission equipment is not shown, and then the defect early warning of the power transmission equipment is not required to be started.
In the scheme, based on the size relation between the tolerance occupation ratio and the preset threshold, whether the defect early warning of the power transmission equipment needs to be started or not can be judged rapidly and accurately, so that the power transmission equipment with defects can be maintained in time later, and the safety and stability of the power transmission line of the power grid can be guaranteed.
According to the technical scheme, infrared thermal imaging is conducted on the region to be detected to obtain a target infrared image, and target detection is conducted on the target infrared image to obtain equipment position information corresponding to at least two phases of power transmission equipment; the region to be detected comprises at least two phases of power transmission equipment, and the target infrared image carries temperature information; determining a temperature characteristic matrix of at least two-phase power transmission equipment according to temperature information corresponding to the equipment position information, and determining characteristic polynomial coefficients of the temperature characteristic matrix; determining characteristic polynomial coefficient tolerance between each two-phase power transmission equipment according to the characteristic polynomial coefficient, and determining tolerance occupation ratio of each two-phase power transmission equipment according to the characteristic polynomial coefficient tolerance; and determining whether to start defect early warning of the power transmission equipment according to the tolerance occupation ratio. According to the technical scheme, the defects of the power transmission equipment of the power grid can be accurately and efficiently detected based on the temperature characteristics of the power transmission equipment, meanwhile, the detection cost can be reduced, and the safety and stability operation of the power transmission line of the power grid can be guaranteed.
Example two
Fig. 3 is a flowchart of a defect early warning method for a power grid power transmission device according to a second embodiment of the present invention, where the present embodiment is optimized based on the foregoing embodiment.
As shown in fig. 3, the method of this embodiment specifically includes the following steps:
s210, performing infrared thermal imaging on the region to be detected to obtain a target infrared image, and performing target detection on the target infrared image to obtain equipment position information corresponding to at least two phases of power transmission equipment.
The region to be detected comprises at least two phases of power transmission equipment, and the target infrared image carries temperature information.
S220, determining temperature information corresponding to the equipment position information as candidate temperature information.
And S230, performing linear interpolation processing on the candidate temperature information based on the preset data dimension to obtain target temperature information corresponding to the candidate temperature information.
And S240, extracting the characteristics of the target temperature information to obtain a temperature characteristic matrix of at least two-phase power transmission equipment.
S250, determining an accompanying matrix and a characteristic polynomial of the temperature characteristic matrix.
Wherein the characteristic polynomial comprises at least two characteristic polynomial undetermined coefficients.
And S260, solving the undetermined coefficients of the characteristic polynomials according to the association relation between the accompanying matrix and the characteristic polynomials to obtain the characteristic polynomial coefficients of the temperature characteristic matrix.
S270, determining the characteristic polynomial coefficient tolerance between the two-phase power transmission equipment according to the characteristic polynomial coefficient, and determining the tolerance occupation ratio of the two-phase power transmission equipment according to the characteristic polynomial coefficient tolerance.
S280, judging whether the tolerance occupation ratio is larger than a preset threshold, if yes, executing S290, otherwise executing S2100.
S290, starting defect early warning of the power transmission equipment.
S2100, the defect early warning of the power transmission equipment is not started.
Fig. 4 is a flow chart of a defect early warning method for a power grid power transmission device according to a second embodiment of the present invention. Taking three-phase power transmission equipment (including a phase, b phase and c phase) as an example, firstly performing infrared thermal imaging on an area to be detected (including the three-phase power transmission equipment) to obtain a target infrared image, then performing target detection on the target infrared image to respectively obtain a-phase position information, b-phase position information and c-phase position information, and respectively determining target temperature information corresponding to the a-phase position information, the b-phase position information and the c-phase position information. And then, respectively carrying out feature extraction on the target temperature information of the three-phase power transmission equipment to obtain a corresponding temperature feature matrix, respectively determining an accompanying matrix and a feature polynomial of the temperature feature matrix, and calculating a feature polynomial coefficient of the temperature feature matrix. And then, respectively determining characteristic polynomial coefficient tolerance (namely ab phase tolerance, bc phase tolerance and ac compatibility difference) between each two phases of power transmission equipment according to the characteristic polynomial coefficient of the three-phase power transmission equipment, and respectively determining ab compatibility difference occupation ratio, bc compatibility difference occupation ratio and ac compatibility difference occupation ratio according to the characteristic polynomial coefficient tolerance. And finally judging whether the tolerance occupation ratio is larger than a preset threshold value, if so, starting defect early warning of the power transmission equipment, otherwise, not starting defect early warning of the power transmission equipment.
According to the technical scheme, the defects of the power transmission equipment of the power grid can be accurately and efficiently detected based on the temperature characteristics of the power transmission equipment, meanwhile, the detection cost can be reduced, and the safety and stability of the power transmission line of the power grid can be guaranteed.
Example III
Fig. 5 is a schematic structural diagram of a defect early warning device for a power grid power transmission device according to a third embodiment of the present invention, where the defect early warning device can execute the defect early warning method for the power grid power transmission device according to any embodiment of the present invention, and the defect early warning device has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 5, the apparatus includes:
the device location information determining module 310 is configured to perform infrared thermal imaging on an area to be detected to obtain a target infrared image, and perform target detection on the target infrared image to obtain device location information corresponding to at least two phases of power transmission devices; the region to be detected comprises at least two-phase power transmission equipment, and the target infrared image carries temperature information;
a characteristic polynomial coefficient determining module 320, configured to determine a temperature characteristic matrix of the at least two-phase power transmission device according to temperature information corresponding to the device location information, and determine a characteristic polynomial coefficient of the temperature characteristic matrix;
a tolerance occupation ratio determining module 330, configured to determine a tolerance of a characteristic polynomial coefficient between each two-phase power transmission device according to the characteristic polynomial coefficient, and determine a tolerance occupation ratio of each two-phase power transmission device according to the tolerance of the characteristic polynomial coefficient;
and the equipment defect early warning judging module 340 is configured to determine whether to start the power transmission equipment defect early warning according to the tolerance occupation ratio.
Optionally, the characteristic polynomial coefficient determining module 320 is configured to:
determining temperature information corresponding to the equipment position information as candidate temperature information;
performing linear interpolation processing on the candidate temperature information based on a preset data dimension to obtain target temperature information corresponding to the candidate temperature information;
and extracting the characteristics of the target temperature information to obtain a temperature characteristic matrix of the at least two-phase power transmission equipment.
Optionally, the characteristic polynomial coefficient determining module 320 is further configured to:
determining an accompanying matrix and a characteristic polynomial of the temperature characteristic matrix; wherein the characteristic polynomial comprises at least two characteristic polynomial undetermined coefficients;
and solving the undetermined coefficients of the characteristic polynomials according to the association relation between the accompanying matrix and the characteristic polynomials to obtain the characteristic polynomial coefficients of the temperature characteristic matrix.
Optionally, the tolerance occupancy rate determining module 330 includes:
a characteristic polynomial coefficient function determining unit, configured to determine a characteristic polynomial coefficient function of the temperature characteristic matrix according to the characteristic polynomial coefficient; wherein the characteristic polynomial coefficient function refers to a polynomial function taking the characteristic polynomial coefficient as each coefficient;
and the characteristic polynomial coefficient tolerance determining unit is used for determining characteristic polynomial coefficient tolerance between every two phases of power transmission equipment according to the characteristic polynomial coefficient function.
Optionally, the characteristic polynomial coefficient tolerance determining unit is configured to:
determining a first parameter according to the difference value of the characteristic polynomial coefficient function of each two-phase power transmission equipment;
determining a second parameter according to the square root of the characteristic polynomial coefficient function of each two-phase transmission equipment;
and determining characteristic polynomial coefficient tolerance between every two phases of power transmission equipment according to the ratio of the first parameter to the second parameter.
Optionally, the tolerance occupancy rate determining module 330 is further configured to:
determining the overall tolerance of the characteristic polynomial coefficients according to the sum of absolute values of the tolerance of the characteristic polynomial coefficients of the at least two-phase power transmission equipment;
and determining the tolerance occupancy rate of each two-phase power transmission equipment according to the ratio of the absolute value of the tolerance of the characteristic polynomial coefficient between each two-phase power transmission equipment and the total tolerance of the characteristic polynomial coefficient.
Optionally, the device defect early warning judging module 340 is configured to:
if the tolerance occupation ratio is larger than a preset threshold, starting defect early warning of the power transmission equipment;
otherwise, the defect early warning of the power transmission equipment is not started.
The defect early warning device for the power grid power transmission equipment provided by the embodiment of the invention can execute the defect early warning method for the power grid power transmission equipment provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 6 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as a defect warning method of the grid power transmission device.
In some embodiments, the defect warning method of the grid power transmission device may be implemented as a computer program tangibly embodied on a computer readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above described defect warning method of the grid power transmission device may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the defect warning method of the grid power transmission device by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems-on-chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (16)
1. A defect early warning method for power transmission equipment of a power grid, the method comprising:
performing infrared thermal imaging on an area to be detected to obtain a target infrared image, and performing target detection on the target infrared image to obtain equipment position information corresponding to at least two phases of power transmission equipment; the region to be detected comprises at least two-phase power transmission equipment, and the target infrared image carries temperature information;
determining a temperature characteristic matrix of the at least two-phase power transmission equipment according to temperature information corresponding to the equipment position information, and determining characteristic polynomial coefficients of the temperature characteristic matrix;
determining characteristic polynomial coefficient tolerance between every two phases of power transmission equipment according to the characteristic polynomial coefficient, and determining tolerance occupation ratio of every two phases of power transmission equipment according to the characteristic polynomial coefficient tolerance;
and determining whether to start defect early warning of the power transmission equipment according to the tolerance occupation ratio.
2. The method of claim 1, wherein determining a temperature characteristic matrix of the at least two-phase power transmission device according to temperature information corresponding to the device location information comprises:
determining temperature information corresponding to the equipment position information as candidate temperature information;
performing linear interpolation processing on the candidate temperature information based on a preset data dimension to obtain target temperature information corresponding to the candidate temperature information;
and extracting the characteristics of the target temperature information to obtain a temperature characteristic matrix of the at least two-phase power transmission equipment.
3. The method of claim 1, wherein determining the characteristic polynomial coefficients of the temperature characteristic matrix comprises:
determining an accompanying matrix and a characteristic polynomial of the temperature characteristic matrix; wherein the characteristic polynomial comprises at least two characteristic polynomial undetermined coefficients;
and solving the undetermined coefficients of the characteristic polynomials according to the association relation between the accompanying matrix and the characteristic polynomials to obtain the characteristic polynomial coefficients of the temperature characteristic matrix.
4. The method of claim 1, wherein determining a characteristic polynomial coefficient tolerance between each two phases of power transmission equipment from the characteristic polynomial coefficients comprises:
determining a characteristic polynomial coefficient function of the temperature characteristic matrix according to the characteristic polynomial coefficient; wherein the characteristic polynomial coefficient function refers to a polynomial function taking the characteristic polynomial coefficient as each coefficient;
and determining the characteristic polynomial coefficient tolerance between every two phases of power transmission equipment according to the characteristic polynomial coefficient function.
5. The method of claim 4, wherein determining a characteristic polynomial coefficient tolerance between each two phases of power transmission equipment from the characteristic polynomial coefficient function comprises:
determining a first parameter according to the difference value of the characteristic polynomial coefficient function of each two-phase power transmission equipment;
determining a second parameter according to the square root of the characteristic polynomial coefficient function of each two-phase transmission equipment;
and determining characteristic polynomial coefficient tolerance between every two phases of power transmission equipment according to the ratio of the first parameter to the second parameter.
6. The method of claim 1, wherein determining a tolerance occupancy ratio for each two-phase power transmission device based on the characteristic polynomial coefficient tolerance comprises:
determining the overall tolerance of the characteristic polynomial coefficients according to the sum of absolute values of the tolerance of the characteristic polynomial coefficients of the at least two-phase power transmission equipment;
and determining the tolerance occupancy rate of each two-phase power transmission equipment according to the ratio of the absolute value of the tolerance of the characteristic polynomial coefficient between each two-phase power transmission equipment and the total tolerance of the characteristic polynomial coefficient.
7. The method of any of claims 1-6, wherein determining whether to initiate transmission equipment defect warning based on the tolerance occupancy comprises:
if the tolerance occupation ratio is larger than a preset threshold, starting defect early warning of the power transmission equipment;
otherwise, the defect early warning of the power transmission equipment is not started.
8. A defect early warning device for power transmission equipment of a power grid, the device comprising:
the device position information determining module is used for carrying out infrared thermal imaging on a region to be detected to obtain a target infrared image, and carrying out target detection on the target infrared image to obtain device position information corresponding to at least two phases of power transmission devices; the region to be detected comprises at least two-phase power transmission equipment, and the target infrared image carries temperature information;
the characteristic polynomial coefficient determining module is used for determining a temperature characteristic matrix of the at least two-phase power transmission equipment according to the temperature information corresponding to the equipment position information and determining characteristic polynomial coefficients of the temperature characteristic matrix;
the tolerance occupation ratio determining module is used for determining the tolerance of the characteristic polynomial coefficient between the two-phase power transmission equipment according to the characteristic polynomial coefficient and determining the tolerance occupation ratio of the two-phase power transmission equipment according to the tolerance of the characteristic polynomial coefficient;
and the equipment defect early warning judging module is used for determining whether to start the power transmission equipment defect early warning according to the tolerance occupation ratio.
9. The apparatus of claim 8, wherein the characteristic polynomial coefficient determination module is configured to:
determining temperature information corresponding to the equipment position information as candidate temperature information;
performing linear interpolation processing on the candidate temperature information based on a preset data dimension to obtain target temperature information corresponding to the candidate temperature information;
and extracting the characteristics of the target temperature information to obtain a temperature characteristic matrix of the at least two-phase power transmission equipment.
10. The apparatus of claim 8, wherein the characteristic polynomial coefficient determination module is further configured to:
determining an accompanying matrix and a characteristic polynomial of the temperature characteristic matrix; wherein the characteristic polynomial comprises at least two characteristic polynomial undetermined coefficients;
and solving the undetermined coefficients of the characteristic polynomials according to the association relation between the accompanying matrix and the characteristic polynomials to obtain the characteristic polynomial coefficients of the temperature characteristic matrix.
11. The apparatus of claim 8, wherein the tolerance occupancy rate determination module comprises:
a characteristic polynomial coefficient function determining unit, configured to determine a characteristic polynomial coefficient function of the temperature characteristic matrix according to the characteristic polynomial coefficient; wherein the characteristic polynomial coefficient function refers to a polynomial function taking the characteristic polynomial coefficient as each coefficient;
and the characteristic polynomial coefficient tolerance determining unit is used for determining characteristic polynomial coefficient tolerance between every two phases of power transmission equipment according to the characteristic polynomial coefficient function.
12. The apparatus according to claim 11, wherein the characteristic polynomial coefficient tolerance determination unit is configured to:
determining a first parameter according to the difference value of the characteristic polynomial coefficient function of each two-phase power transmission equipment;
determining a second parameter according to the square root of the characteristic polynomial coefficient function of each two-phase transmission equipment;
and determining characteristic polynomial coefficient tolerance between every two phases of power transmission equipment according to the ratio of the first parameter to the second parameter.
13. The apparatus of claim 8, wherein the tolerance occupancy rate determination module is further configured to:
determining the overall tolerance of the characteristic polynomial coefficients according to the sum of absolute values of the tolerance of the characteristic polynomial coefficients of the at least two-phase power transmission equipment;
and determining the tolerance occupancy rate of each two-phase power transmission equipment according to the ratio of the absolute value of the tolerance of the characteristic polynomial coefficient between each two-phase power transmission equipment and the total tolerance of the characteristic polynomial coefficient.
14. The apparatus according to any one of claims 8 to 13, wherein the equipment defect pre-warning judging module is configured to:
if the tolerance occupation ratio is larger than a preset threshold, starting defect early warning of the power transmission equipment;
otherwise, the defect early warning of the power transmission equipment is not started.
15. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the defect warning method of the grid power transmission device of any one of claims 1-7.
16. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement a defect warning method of a power grid power transmission device according to any one of claims 1-7 when executed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311491192.6A CN117456695A (en) | 2023-11-09 | 2023-11-09 | Defect early warning method, device, equipment and medium for power grid power transmission equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311491192.6A CN117456695A (en) | 2023-11-09 | 2023-11-09 | Defect early warning method, device, equipment and medium for power grid power transmission equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117456695A true CN117456695A (en) | 2024-01-26 |
Family
ID=89583419
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311491192.6A Pending CN117456695A (en) | 2023-11-09 | 2023-11-09 | Defect early warning method, device, equipment and medium for power grid power transmission equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117456695A (en) |
-
2023
- 2023-11-09 CN CN202311491192.6A patent/CN117456695A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117372499A (en) | Log length and diameter determining method, device, equipment and storage medium | |
| CN116182748A (en) | Method and device for detecting verticality of offshore wind generating set based on line-of-sight driving | |
| CN117456695A (en) | Defect early warning method, device, equipment and medium for power grid power transmission equipment | |
| CN116596106A (en) | Power prediction method and device for wind power station, electronic equipment and storage medium | |
| CN116203472A (en) | Temperature rise value determining method, device, equipment and storage medium | |
| CN117767846B (en) | Automobile wire control motor stator temperature estimation method and system and automobile | |
| CN117148837B (en) | Dynamic obstacle determination method, device, equipment and medium | |
| CN116258714B (en) | Defect identification method and device, electronic equipment and storage medium | |
| CN115373449B (en) | Data processing method, device, equipment and storage medium | |
| CN116883488B (en) | Method, device, equipment and medium for determining center position of circular pipe | |
| CN117131315B (en) | Out-of-tolerance electric energy meter determining method and medium based on solving multi-element quadratic function extremum | |
| CN117589188B (en) | Driving path planning method, driving path planning device, electronic equipment and storage medium | |
| CN118214691B (en) | Network state abnormal data monitoring method, device, equipment, medium and product | |
| CN114923515B (en) | Temperature early warning method, equipment, system and medium for power transmission wire | |
| CN116308284A (en) | Operation data detection method, device and equipment of pumped storage equipment | |
| CN118642634A (en) | Node scaling method, device, equipment and storage medium | |
| CN116504042A (en) | Abnormal temperature alarm generation method, device, equipment and medium | |
| CN116128857A (en) | Main transformer monitoring method and device, electronic equipment and storage medium | |
| CN117350995A (en) | Product defect detection method, device, equipment and storage medium | |
| CN118598059A (en) | Method, device, equipment, medium and product for detecting fuel filling amount behavior of fuel filling station | |
| CN117853789A (en) | Image detection method and device | |
| CN117333595A (en) | Method and device for displaying defects of water-cooled wall of boiler, electronic equipment and storage medium | |
| CN117477543A (en) | Power distribution system stability evaluation system, method and electronic equipment | |
| CN115019554A (en) | Vehicle warning method and device, electronic equipment and storage medium | |
| CN117351304A (en) | Monocular three-dimensional target detection model training method, monocular three-dimensional target detection model training device, monocular three-dimensional target detection model training equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |