Connecting piece detection device, method and equipment based on infrared image

Abstract

The invention discloses a connecting piece detection device, method and equipment based on an infrared image, and belongs to the technical field of electric power facilities. The device comprises an infrared image acquisition module used for acquiring an infrared image of a target cable; the connection position confirmation module is used for identifying whether a connection position exists in the infrared image or not according to the historical laying data of the cable; wherein the connection positions comprise the connection positions of the cables and the connection positions of the cables and the wiring terminals; the temperature data acquisition module is used for acquiring temperature data of the connection position according to the infrared image and identifying whether the temperature data meets a preset abnormal condition or not; and the abnormity determination module is used for determining that the cable connecting piece is abnormal under the condition that the temperature data meets a preset abnormal condition. According to the technical scheme, the abnormal condition of the cable connection position can be detected through the infrared image, even if the abnormal problems such as looseness of the cable connection piece are found in time, the normal use of the cable is prevented from being influenced, or the aging of an insulating layer is prevented from being aggravated.

Description

Technical Field

[0001] The present application belongs to the technical field of electric power facilities, and specifically relates to a connector detection device, method and equipment based on infrared images. Background Art

[0002] When laying cables, connectors are usually used to connect two sections of cable into one when the cable is not long enough or when connecting the cable to electrical equipment.

[0003] After the cables are laid, there is a possibility that the connectors will become loose due to shaking caused by external forces and insufficient installation of connectors. Usually, the staff will conduct manual inspections of the laid cables regularly. However, the cable connectors are often internally connected and not exposed externally. Therefore, it is easy to miss abnormal problems such as loose connectors during maintenance.

[0004] Therefore, how to detect abnormal conditions at the cable connection position is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the invention

[0005] The embodiments of the present application provide a connector detection device, method and equipment based on infrared images, the purpose of which is to detect abnormal conditions at the cable connection position through infrared images, so as to promptly discover abnormal problems such as loose cable connectors, avoid affecting the normal use of the cable, or aggravate the aging of the insulation layer.

[0006] In a first aspect, an embodiment of the present application provides a connector detection device based on infrared images, the device comprising:

[0007] An infrared image acquisition module, used for acquiring an infrared image of a target cable;

[0008] A connection position confirmation module, used to identify whether there is a connection position in the infrared image according to the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and the connection position between the cables and the terminal;

[0009] a temperature data acquisition module, configured to acquire temperature data of the connection position according to the infrared image, and identify whether the temperature data meets a preset abnormal condition;

[0010] The abnormality determination module is used to determine that an abnormality exists in the cable connector when the temperature data meets a preset abnormality condition.

[0011] Furthermore, the temperature data acquisition module is specifically used for:

[0012] Identify the infrared image collected within a preset period, and obtain temperature rise data of the connection position within the preset period;

[0013] Draw a temperature rise curve according to the temperature rise data, and extract the temperature change rate and temperature change amplitude of the temperature rise curve;

[0014] Identify whether the temperature change rate and the temperature change amplitude meet a preset abnormal condition.

[0015] Furthermore, the temperature data acquisition module is also used for:

[0016] Acquire temperature data of the connection position within a preset period and temperature data of the wire within a preset range of the connection position according to the infrared image;

[0017] Determine the temperature rise rate of the connection position according to the temperature data of the connection position, and determine the temperature rise rate of the wire according to the temperature data of the wire;

[0018] It is identified whether a difference between a temperature rise rate of the connection position and a temperature rise rate of the wire satisfies a preset abnormal condition.

[0019] Furthermore, the device also includes:

[0020] A loop current acquisition module, used to acquire the loop current of the connection position during the heating process;

[0021] Correspondingly, the temperature data acquisition module is also used for:

[0022] The temperature threshold and the temperature change rate threshold in the preset abnormal condition are adjusted according to the loop current.

[0023] Furthermore, the device also includes:

[0024] A voltage waveform acquisition module, used to acquire voltage data of the connection position, draw a voltage waveform according to the voltage data, and extract waveform features of the voltage waveform;

[0025] Accordingly, the abnormality determination module is also used for:

[0026] It is determined whether the abnormality of the cable connector is a loose abnormality according to the waveform characteristics, and the degree of the looseness of the cable connector is determined.

[0027] Furthermore, the abnormality determination module is specifically used to:

[0028] Pre-acquire cable samples with different degrees of looseness at connection positions, collect standard voltage waveforms of the cable samples, and extract standard features of the standard voltage waveforms;

[0029] The waveform feature is matched with the standard feature, and the looseness degree of the cable connector is determined according to the matching result.

[0030] Furthermore, the device also includes:

[0031] An electric spark detection module, used to detect whether there is an electric spark at the connection position, and record the occurrence data of the electric spark; wherein the occurrence data includes the occurrence frequency of the electric spark, the number of the electric spark and the occurrence time of the electric spark;

[0032] When the temperature data exceeds the tolerance temperature of the target cable insulation layer and the occurrence data of the electric spark meets the ignition condition of the cable insulation layer, fire warning information is generated.

[0033] In a second aspect, an embodiment of the present application provides a method for detecting a connector based on an infrared image, the method comprising:

[0034] Acquire infrared images of target cables;

[0035] Identify whether there is a connection position in the infrared image according to the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and the terminal;

[0036] Acquiring temperature data of the connection position according to the infrared image, and identifying whether the temperature data meets a preset abnormal condition;

[0037] When the temperature data meets the preset abnormal condition, it is determined that the cable connector is abnormal.

[0038] Further, acquiring temperature data of the connection position according to the infrared image, and identifying whether the temperature data meets a preset abnormal condition, includes:

[0039] Identify the infrared image collected within a preset period, and obtain temperature rise data of the connection position within the preset period;

[0040] Draw a temperature rise curve according to the temperature rise data, and extract the temperature change rate and temperature change amplitude of the temperature rise curve;

[0041] Identify whether the temperature change rate and the temperature change amplitude meet a preset abnormal condition.

[0042] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0043] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0044] In a fifth aspect, an embodiment of the present application provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described in the first aspect.

[0045] In an embodiment of the present application, an infrared image acquisition module is used to acquire an infrared image of a target cable; a connection position confirmation module is used to identify whether a connection position exists in the infrared image based on the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and terminals; a temperature data acquisition module is used to acquire temperature data of the connection position based on the infrared image and identify whether the temperature data meets a preset abnormal condition; an abnormality determination module is used to determine that an abnormality exists in a cable connector when the temperature data meets a preset abnormal condition. Through the above-mentioned connector detection device based on infrared images, abnormal conditions of cable connection positions can be detected through infrared images, and abnormal problems such as loose cable connectors can be discovered in time to avoid affecting the normal use of the cable or aggravating the aging of the insulation layer. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a structural schematic diagram of a connector detection device based on infrared images provided in Example 1 of the present application;

[0047] Figure 2 is a structural schematic diagram of a connector detection device based on infrared images provided in Embodiment 2 of the present application;

[0048] Figure 3 is a structural schematic diagram of a connector detection device based on infrared images provided in Embodiment 3 of the present application;

[0049] Figure 4 is a schematic structural diagram of a connector detection device based on infrared images provided in Embodiment 4 of the present application;

[0050] Figure 5 is a schematic diagram of the structure of a connector detection device based on infrared images provided in Embodiment 5 of the present application;

[0051] Figure 6 is a flow chart of a method for detecting a connector based on infrared images provided in Embodiment 6 of the present application;

[0052] Figure 7 It is a structural diagram of an electronic device provided in Example 7 of the present application. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only the part related to the present application but not all the contents are shown in the accompanying drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of each operation can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0054] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0055] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0056] In the following, in conjunction with the accompanying drawings, the infrared image-based connector detection device, method and equipment provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0057] Embodiment 1

[0058] Figure 1 Schematic diagram of the structure of the infrared image-based connector detection device provided in the first embodiment of the present application. Figure 1 As shown, the specific steps include:

[0059] Infrared image acquisition module 101, used to acquire an infrared image of a target cable;

[0060] A connection position confirmation module 102 is used to identify whether there is a connection position in the infrared image according to the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and the connection position between the cables and the terminal;

[0061] The temperature data acquisition module 103 is used to acquire the temperature data of the connection position according to the infrared image, and identify whether the temperature data meets a preset abnormal condition;

[0062] The abnormality determination module 104 is used to determine that an abnormality exists in the cable connector when the temperature data meets a preset abnormality condition.

[0063] The application scenario of this solution may be a scenario of detecting abnormal conditions of connectors in cables.

[0064] Based on the above scenario, it can be understood that the executor of this scenario can be an intelligent terminal that identifies whether there is an abnormality in the cable connector, such as a desktop computer, a laptop computer, a tablet computer, and an interactive multimedia device, etc., and no excessive limitations are made here.

[0065] The infrared image acquisition module 101 may be an infrared image sensor, which may be arranged at the laying position of the target cable to collect the infrared image of the target cable. Specifically, the target cable may be a cable whose connectors need to be detected for abnormalities.

[0066] The infrared image can be the infrared radiation naturally emitted by the target cable when the temperature is higher than absolute zero. Its wavelength usually ranges from 0.75 microns to 1000 microns. The infrared radiation emitted by the target cable is collected and displayed on the captured cable image to obtain an infrared image of the target cable.

[0067] The infrared image can be obtained by the infrared sensor receiving the infrared radiation emitted from the target cable through its internal sensing device and infrared focal plane array. When the received infrared radiation is irradiated on the photodetector in the infrared sensor, the specific elements in the detector material absorb the infrared radiation energy. This absorption process causes the generation of charges inside the detector, which is the photoelectric effect. These charges are then converted into electrical signals, realizing the conversion from infrared radiation to electrical signals. The converted electrical signals are amplified by the amplifier circuit, and the filtering, denoising and other processing steps are performed to remove interference signals. The processed electrical signals are converted into visual infrared images. These images show the distribution of infrared radiation of the target object, usually presented in the form of grayscale images, and pseudo-color enhancement can also be performed on the basis of the grayscale images, and the grayscale levels of each pixel in the original image are transformed into different colors according to a certain mapping function to obtain a color infrared image.

[0068] The connection position confirmation module 102 may be a program design for the intelligent terminal to identify the connection position of the target cable in the captured infrared image. Specifically, the historical laying data may be laying data such as the laying time, laying position, and relevant parameters of the target cable recorded by relevant staff when laying the target cable. The relevant parameters of the target cable may include data such as cable model, specification, connection relationship between cables, and connection position in the cable.

[0069] The connection position between cables can be the butt joint between two adjacent cables when multiple cables are connected into one cable. Cables are usually connected by direct twisting or using connectors, and the twisting position or the location of the connector is the connection position between cables.

[0070] The connection location between the cable and the connecting wire can be the connection between the target cable and the conductors of various types of power equipment.

[0071] The method of identifying whether there is a connection position in the infrared image may be to identify the area where the target cable is located based on the difference in grayscale values ​​of each pixel in the infrared image. The historical laying data of the cable is retrieved, and the connection position record in the target cable is extracted from the historical laying data. It is identified whether there is a connection position consistent with the record content in the area where the target cable is located in the infrared image. If so, it is determined that the connection position exists in the infrared image, and the connection position in the infrared image is determined based on the historical laying data.

[0072] The temperature data acquisition module 103 may be a program designed by a smart terminal user to identify the temperature data represented in the infrared image. Specifically, the preset abnormal condition may be the temperature data different from the target cable in normal operation, and the temperature data of multiple groups of cables with abnormal connectors may be acquired in advance for analysis, thereby obtaining a characteristic threshold value of the temperature data that can determine whether the cable has abnormal connectors.

[0073] The method for obtaining the temperature data of the connection position can be to obtain the correspondence between the grayscale value and the temperature data of the infrared image marked in the infrared sensor, identify the grayscale value of the pixel point at the connection position in the collected infrared image, and determine the temperature data corresponding to the grayscale value based on the obtained correspondence as the temperature data of the target cable connection position.

[0074] The method for identifying whether the temperature data meets the preset abnormal conditions is to match the temperature data of the connection position obtained with the requirements for temperature data in the preset abnormal conditions. If the current temperature data is within the abnormal data range in the preset abnormal conditions, it is determined that the temperature data meets the preset abnormal conditions.

[0075] The abnormality determination module 104 may be a program design for the intelligent terminal to determine whether there is an abnormality in the cable connector. Specifically, the method for determining whether there is an abnormality in the cable connector may be to determine that there is an abnormality in the connector at the connection position corresponding to the current temperature data after determining that the currently collected temperature data meets the preset abnormality condition, and generate a prompt message of the abnormality of the connector and send it to the terminal device of the relevant staff, so as to prompt the relevant staff to maintain the connection position in time.

[0076] Optionally, based on the above solution, the device further includes:

[0077] A loop current acquisition module, used to acquire the loop current of the connection position during the heating process;

[0078] Correspondingly, the temperature data acquisition module is also used for:

[0079] The temperature threshold and the temperature change rate threshold in the preset abnormal condition are adjusted according to the loop current.

[0080] The loop current acquisition module can be a current sensor, which can be set at the connection position of the cable to detect the loop current at the connection position. Specifically, the loop current can be based on Faraday's law of electromagnetic induction. When the current in the conductor changes, a changing magnetic field will be generated around it, and this changing magnetic field will generate an induced electromotive force in the nearby conductor. That is, in the current sensor, a magnetic core and a winding are usually used to form the detection element. When the loop current passes through the magnetic core, a magnetic field will be generated in the magnetic core, and this magnetic field will generate an induced electromotive force in the winding. By measuring the size of this induced electromotive force, the size of the loop current can be calculated.

[0081] The method for adjusting the temperature threshold and the temperature change rate threshold in the preset abnormal condition is that when the loop current in the cable is large, a slight looseness of the connector can cause a large temperature change at the connection position. Therefore, it is necessary to obtain the value of the loop current in the cable, and adjust the temperature threshold and the temperature change rate threshold in the preset abnormal condition for judging whether there is an abnormality at the cable connection position according to the size of the value. For example, when the loop current is large, the temperature threshold and the temperature change rate threshold in the preset abnormal condition are increased.

[0082] The benefit of this arrangement of the present scheme is that it can take into account the effect of loop current on the change of temperature data at the cable connection, and then adjust the preset abnormal conditions to avoid waste of maintenance resources due to misjudgment.

[0083] This solution provides a program code for identifying the temperature data of the cable connection position in the infrared image for reference:

[0084]

[0085]

[0086] In an embodiment of the present application, an infrared image acquisition module is used to acquire an infrared image of a target cable; a connection position confirmation module is used to identify whether a connection position exists in the infrared image based on the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and terminals; a temperature data acquisition module is used to acquire temperature data of the connection position based on the infrared image and identify whether the temperature data meets a preset abnormal condition; an abnormality determination module is used to determine that an abnormality exists in a cable connector when the temperature data meets a preset abnormal condition. Through the above-mentioned connector detection device based on infrared images, abnormal conditions of cable connection positions can be detected through infrared images, and abnormal problems such as loose cable connectors can be discovered in time to avoid affecting the normal use of the cable or aggravating the aging of the insulation layer.

[0087] Embodiment 2

[0088] Figure 2 It is a structural schematic diagram of the infrared image-based connector detection device provided in the second embodiment of the present application. This solution makes a better improvement on the above embodiment, and the specific improvement is as follows: the temperature data acquisition module is specifically used to: identify the infrared image collected within a preset period, and obtain the temperature rise data of the connection position within the preset period; draw a temperature rise curve according to the temperature rise data, and extract the temperature change rate and temperature change amplitude of the temperature rise curve; identify whether the temperature change rate and the temperature change amplitude meet the preset abnormal conditions.

[0089] like Figure 2 As shown, specifically including the following:

[0090] Infrared image acquisition module 201, used to acquire an infrared image of the target cable;

[0091] A connection position confirmation module 202 is used to identify whether there is a connection position in the infrared image according to the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and the connection position between the cables and the terminal;

[0092] The temperature data acquisition module 203 is used to acquire the temperature data of the connection position according to the infrared image, and identify whether the temperature data meets a preset abnormal condition;

[0093] The abnormality determination module 204 is used to determine that an abnormality exists in the cable connector when the temperature data meets a preset abnormality condition.

[0094] The temperature data acquisition module 203 is specifically used to identify the infrared image collected within a preset period and obtain the temperature rise data of the connection position within the preset period;

[0095] Draw a temperature rise curve according to the temperature rise data, and extract the temperature change rate and temperature change amplitude of the temperature rise curve;

[0096] Identify whether the temperature change rate and the temperature change amplitude meet a preset abnormal condition.

[0097] The preset period may be a collection period of infrared images that is pre-set according to the temperature rise time of the target cable connection position after power is turned on. The infrared images collected within the preset period may accurately reflect the temperature data rise of the connection position.

[0098] The temperature rise curve may be a curve used to represent the change of the collected temperature data with the collection time.

[0099] The temperature change rate can be the average increase in temperature data per unit time.

[0100] The temperature variation range may be the difference in temperature data of the connection location before and after the temperature is increased.

[0101] The method for obtaining the temperature rise data of the connection position within a preset period can be to obtain the infrared images collected by the infrared image acquisition module within the preset period, identify the temperature data of the target cable connection position in each infrared image, and arrange the temperature data in the order of collection time, thereby obtaining the temperature rise data of the connection position within the preset period.

[0102] The method of drawing the temperature rise curve can be to use the acquisition time as the horizontal axis and the temperature value as the vertical axis to establish a rectangular coordinate system, and mark the temperature rise data at the corresponding position in the rectangular coordinate system, and connect the temperature data with a smooth curve in the order of acquisition time to obtain the temperature rise curve.

[0103] The method for extracting the temperature change rate and temperature change amplitude of the heating curve can be that the intelligent terminal identifies and analyzes the heating curve, obtains the maximum value and the minimum value in the heating curve, calculates the difference between the maximum value and the minimum value as the temperature change amplitude, and calculates the time between the acquisition time of the maximum value and the acquisition time of the minimum value, and takes the ratio between the above difference and the time as the temperature change rate.

[0104] A method for identifying whether the temperature change rate and the temperature change amplitude meet the preset abnormal conditions may be to obtain the specified thresholds of the temperature change rate and the temperature change amplitude in the preset abnormal conditions, and compare the currently obtained temperature change rate and the temperature change amplitude with the temperature change rate threshold and the temperature change amplitude threshold specified in the preset abnormal conditions, respectively, and when both the temperature change rate and the temperature change amplitude exceed the thresholds specified in the preset abnormal conditions, determine whether the temperature change rate and the temperature change amplitude meet the preset abnormal conditions.

[0105] The advantage of this arrangement of the present scheme is that the temperature rise data of the connection position can be collected, and a temperature rise curve can be drawn to intuitively show the temperature rise situation of the connection position. By judging whether the preset abnormal conditions are met by the temperature change rate and the temperature change amplitude, the abnormal judgment of the connection position can be made more accurate.

[0106] Embodiment 3

[0107] Figure 3 This is a schematic diagram of the structure of the infrared image-based connector detection device provided in the third embodiment of the present application. This solution makes a better improvement on the above embodiment, specifically: the temperature data acquisition module is also used to: acquire the temperature data of the connection position within a preset period according to the infrared image, and the temperature data of the wire within a preset range of the connection position; determine the temperature rise rate of the connection position according to the temperature data of the connection position, and determine the temperature rise rate of the wire according to the temperature data of the wire; identify whether the difference between the temperature rise rate of the connection position and the temperature rise rate of the wire meets the preset abnormal condition.

[0108] like Figure 3 As shown, specifically including the following:

[0109] Infrared image acquisition module 301, used to acquire an infrared image of the target cable;

[0110] A connection position confirmation module 302 is used to identify whether there is a connection position in the infrared image according to the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and the connection position between the cables and the terminal;

[0111] The temperature data acquisition module 303 is used to acquire the temperature data of the connection position according to the infrared image, and identify whether the temperature data meets a preset abnormal condition;

[0112] The abnormality determination module 304 is used to determine that an abnormality exists in the cable connector when the temperature data meets a preset abnormality condition.

[0113] The temperature data acquisition module 303 is further used to acquire the temperature data of the connection position within a preset period and the temperature data of the wire within a preset range of the connection position according to the infrared image;

[0114] Determine the temperature rise rate of the connection position according to the temperature data of the connection position, and determine the temperature rise rate of the wire according to the temperature data of the wire;

[0115] It is identified whether a difference between a temperature rise rate of the connection position and a temperature rise rate of the wire satisfies a preset abnormal condition.

[0116] The preset range can be that when there is an abnormality at the cable connection position, its temperature data will be significantly different from the temperature data of the wires near the connection position. Therefore, the wires near the connection position can be used as a control group to determine whether there is an abnormality in the temperature data of the connection position, wherein the position of the wires that can be used as a control for the temperature data of the connection position is the preset range.

[0117] The method for obtaining the temperature data of the connection position and the temperature data of the wire within the preset range can be to identify the temperature in the infrared image obtained within a preset period, and extract the temperature data of the connection position and the temperature data of the wire within the preset range of the connection position in the order of acquisition time.

[0118] The method for determining the temperature rise rate of the connection position and the temperature rise rate of the wire can be to obtain the highest temperature in the temperature data of the connection position and the temperature when the collection starts, and calculate the ratio between the difference and the collection time of the highest temperature as the temperature rise rate of the connection position; obtain the highest temperature in the temperature data of the wire and the temperature when the collection starts, and calculate the ratio between the difference and the collection time of the highest temperature as the temperature rise rate of the wire.

[0119] A method for identifying whether the difference between the temperature rise rate at the connection position and the temperature rise rate of the wire meets the preset abnormal condition can be to calculate the difference between the temperature rise rate at the connection position and the temperature rise rate of the wire, and compare the difference with a threshold value pre-defined in the preset abnormal condition. If the difference is greater than the threshold value, the preset abnormal condition is met.

[0120] The advantage of this arrangement of the present scheme is that the temperature data of the conductor can be used as a reference to determine whether the temperature data at the connection location has abnormalities such as excessive temperature or too fast a rising rate, thereby effectively avoiding interference of factors such as ambient temperature and current on the temperature data at the connection location, making the judgment result of abnormal connection location more accurate.

[0121] Embodiment 4

[0122] Figure 4It is a structural schematic diagram of the infrared image-based connector detection device provided in the fourth embodiment of the present application. This solution makes a better improvement on the above embodiment, and the specific improvement is: the device also includes: a voltage waveform acquisition module, which is used to obtain the voltage data of the connection position, draw a voltage waveform according to the voltage data, and extract the waveform characteristics of the voltage waveform; correspondingly, the abnormality determination module is also used to: determine whether the cable connector abnormality is a loose abnormality according to the waveform characteristics, and determine the degree of looseness of the cable connector.

[0123] like Figure 4 As shown, specifically including the following:

[0124] Infrared image acquisition module 401, used to acquire an infrared image of the target cable;

[0125] A connection position confirmation module 402 is used to identify whether there is a connection position in the infrared image according to the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and the connection position between the cables and the terminal;

[0126] The temperature data acquisition module 403 is used to acquire the temperature data of the connection position according to the infrared image, and identify whether the temperature data meets a preset abnormal condition;

[0127] The abnormality determination module 404 is used to determine that an abnormality exists in the cable connector when the temperature data meets a preset abnormality condition.

[0128] The voltage waveform acquisition module 405 is used to acquire voltage data of the connection position, draw a voltage waveform according to the voltage data, and extract waveform features of the voltage waveform.

[0129] The abnormality determination module 404 is further used for:

[0130] It is determined whether the abnormality of the cable connector is a loose abnormality according to the waveform characteristics, and the degree of the looseness of the cable connector is determined.

[0131] The voltage waveform acquisition module 405 may be an oscilloscope, which may be arranged at the connection position of the target cable to acquire the voltage waveform at the connection position. Specifically, the waveform feature may be the periodic variation characteristics of the cable waveform, that is, the waveform shape of the voltage waveform within the minimum period.

[0132] The voltage waveform can be drawn by collecting the voltage data of the connection position while collecting the infrared image of the target cable, that is, connecting the oscilloscope to the connection position, inputting the electrical signal passing through the connection position into the oscilloscope, and energizing the filament in the oscilloscope to heat the cathode, which emits electrons due to the heat. Under the action of the grid potential, only electrons with a large initial velocity can pass through the grid hole to form a high-speed electron beam. The electron beam is accelerated by the high potential of the first anode and the second anode, and moves at a high speed toward the fluorescent screen. At the same time, through the focusing effect of the electric field between the first anode and the second anode, the electrons are reassembled and converged at one point to form a light spot. Under the action of the electrical signal, the deflection system adds voltages proportional to the measured signal on the X-axis and Y-axis respectively to control the position of the electron beam on the fluorescent screen. In this way, the electron beam is like the tip of a pen, drawing a curve of the instantaneous value change of the electrical signal on the fluorescent screen. This change curve is the voltage waveform.

[0133] The waveform characteristics of the voltage waveform can be extracted by analyzing the voltage waveform, obtaining the repeated part of the voltage waveform, and then determining the variation period of the voltage waveform, selecting the minimum variation period, and identifying the cable waveform shape characteristics therein as the waveform characteristics of the voltage waveform.

[0134] A method for determining whether the abnormality of the cable connection is a loose abnormality may be to pre-acquire the waveform characteristics of the voltage waveform of the cable connection position where the loose abnormality exists, and match the waveform characteristics of the connection position with the waveform characteristics of the cable connection position where the loose abnormality exists. If the matches are consistent, it is determined whether the abnormality of the cable connection is a loose abnormality.

[0135] The benefit of this arrangement of the present scheme is that the cause of the abnormality at the connection position can be determined based on the voltage waveform at the connection position, thereby facilitating maintenance personnel to have a more comprehensive understanding of the abnormality of the cable so as to formulate more effective maintenance measures.

[0136] Optionally, based on the above solution, the abnormality determination module is specifically used to pre-acquire cable samples with different degrees of looseness at the connection position, collect standard voltage waveforms of the cable samples, and extract standard features of the standard voltage waveform;

[0137] The waveform feature is matched with the standard feature, and the looseness degree of the cable connector is determined according to the matching result.

[0138] The method of extracting the standard features of the standard voltage waveform can be to obtain multiple groups of cables with different degrees of looseness at the connection positions in advance, apply voltage to each cable, obtain the standard voltage waveform at its connection position, and respectively extract the common features of the standard voltage waveform under each degree of looseness as the standard features. For example, the standard features under the conditions of semi-looseness, full looseness, and full looseness and vibration are that the voltage waveform evolves from a sine wave when tightened to a triangle wave, a small square wave, and a saddle wave.

[0139] The method for determining the looseness degree of the cable connector based on the matching results can be to match the currently acquired waveform features with the standard waveform features corresponding to each looseness degree, and obtain the looseness degree corresponding to the standard waveform feature with the highest matching degree in the matching results as the looseness degree of the cable connector.

[0140] The benefit of this arrangement of the present invention is that the looseness of the cable connector can be identified based on the waveform characteristics, which helps maintenance personnel understand the urgency of the abnormality of the cable connection position and implement effective maintenance measures in a targeted manner.

[0141] Embodiment 5

[0142] Figure 5 It is a structural schematic diagram of the infrared image-based connector detection device provided in Example 5 of the present application. This solution makes a better improvement on the above-mentioned embodiment, and the specific improvement is: the device also includes: a spark detection module, which is used to detect whether there is a spark at the connection position and record the appearance data of the spark; wherein the appearance data includes the appearance frequency of the spark, the number of sparks and their appearance time; when the temperature data exceeds the tolerance temperature of the target cable insulation layer, and the appearance data of the spark meets the ignition condition of the cable insulation layer, a fire warning information is generated.

[0143] like Figure 5 As shown, specifically including the following:

[0144] Infrared image acquisition module 501, used to acquire an infrared image of the target cable;

[0145] A connection position confirmation module 502 is used to identify whether there is a connection position in the infrared image according to the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and the connection position between the cables and the terminal;

[0146] A temperature data acquisition module 503 is used to acquire temperature data of the connection position according to the infrared image, and identify whether the temperature data meets a preset abnormal condition;

[0147] An abnormality determination module 504, configured to determine that an abnormality exists in the cable connector when the temperature data meets a preset abnormality condition;

[0148] The spark detection module 505 is used to detect whether there is a spark at the connection position and record the occurrence data of the spark; wherein the occurrence data includes the occurrence frequency of the spark, the number of the spark and the occurrence time of the spark;

[0149] When the temperature data exceeds the tolerance temperature of the target cable insulation layer and the occurrence data of the electric spark meets the ignition condition of the cable insulation layer, fire warning information is generated.

[0150] The spark detection module 505 may be a spark detector, which may be arranged at the connection position of the target cable to detect sparks at the connection position. Specifically, the spark may be a breakdown discharge phenomenon between electrodes. When the conductive electrodes are disconnected or closed for a moment, a strong electric field is generated, which is sufficient to ionize the air in the gap to form charged particles, accompanied by light and heat generation.

[0151] The frequency of occurrence of electric sparks can be the number of times the electric sparks appear per unit time.

[0152] The number of sparks may be the total number of times the sparks occur during the heating process of the connection position of the target cable.

[0153] The appearance time of the spark can be the time from the appearance to the disappearance of the spark when it appears once.

[0154] The ignition condition of the cable insulation layer may be the minimum electric spark occurrence data that can ignite the cable insulation layer, which is determined in advance based on the tolerance data of the insulation layer of the target cable.

[0155] The method of detecting whether there is an electric spark at the connection position can be based on the mechanism of electric spark generation. Specifically, when an electric spark appears at the connection position, the electric spark detector applies a certain amount of pulsed high voltage to the surface of the connection position. If there are defects such as cracks or fissures at the connection position, when the pulsed high voltage passes through these defects, air gap breakdown will be formed and spark discharge will be generated. This spark discharge process will send a pulse signal to the alarm circuit, causing the alarm to emit an audible and visual alarm, thereby realizing the detection of electric sparks.

[0156] The method of recording the occurrence data of electric sparks can be to statistically analyze the detection records of the electric spark detector, identify the test of the pulse signal received by the alarm circuit during the detection as the number of electric sparks, the duration of the pulse signal as the occurrence time of the electric spark, and calculate the ratio of the number of electric sparks to the detection time as the occurrence frequency of the electric spark.

[0157] The method of generating fire warning information can be to obtain the tolerance temperature of the insulation layer of the target cable through big data, compare the currently obtained temperature data with the tolerance temperature of the insulation layer of the target cable, and compare the appearance data of the electric spark with the ignition condition of the cable insulation layer. When the temperature data is greater than the tolerance temperature of the insulation layer of the target cable, and the appearance data of the electric spark meets the ignition condition of the cable insulation layer, it is determined that the probability of the cable insulation layer being ignited is relatively high at this time, and a fire warning information is generated to prompt relevant personnel to take defensive measures against the ignition of the cable insulation layer.

[0158] The advantage of this arrangement of the present invention is that it can detect the electric spark at the target cable connection position, and then monitor and warn of the problem of igniting the cable insulation layer caused by the abnormal cable connection position, thereby avoiding greater losses caused by the ignition of the cable insulation layer.

[0159] Embodiment 6

[0160] Figure 6 It is a flow chart of the infrared image-based connector detection method provided in Example 6 of the present application.

[0161] like Figure 6 As shown, the specific steps include:

[0162] S601, acquiring an infrared image of a target cable;

[0163] S602, identifying whether there is a connection position in the infrared image according to the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and the connection position between the cable and the terminal;

[0164] S603, acquiring temperature data of the connection position according to the infrared image, and identifying whether the temperature data meets a preset abnormal condition;

[0165] S604: When the temperature data meets a preset abnormal condition, determine that an abnormality exists in the cable connector.

[0166] Optionally, acquiring temperature data of the connection position according to the infrared image, and identifying whether the temperature data meets a preset abnormal condition includes:

[0167] Identify the infrared image collected within a preset period, and obtain temperature rise data of the connection position within the preset period;

[0168] Draw a temperature rise curve according to the temperature rise data, and extract the temperature change rate and temperature change amplitude of the temperature rise curve;

[0169] Identify whether the temperature change rate and the temperature change amplitude meet a preset abnormal condition.

[0170] In an embodiment of the present application, an infrared image of the target cable is obtained; based on the historical laying data of the cable, it is identified whether there is a connection position in the infrared image; wherein the connection position includes the connection position between cables and the connection position between cables and terminals; temperature data of the connection position is obtained based on the infrared image, and it is identified whether the temperature data meets the preset abnormal condition; when the temperature data meets the preset abnormal condition, it is determined that there is an abnormality in the cable connector. Through the above-mentioned connector detection device based on infrared images, the abnormal situation of the cable connection position can be detected through infrared images, and even if the abnormal problems such as loose cable connectors are discovered in time, the normal use of the cable is avoided from being affected, or the aging of the insulation layer is aggravated.

[0171] The infrared image-based connector detection method provided in the embodiment of the present application corresponds to the infrared image-based connector detection device provided in the above-mentioned embodiment, and has the same functional modules and beneficial effects. To avoid repetition, they will not be described here.

[0172] Embodiment 7

[0173] like Figure 7 As shown, an embodiment of the present application further provides an electronic device 700, including a processor 701, a memory 702, and a program or instruction stored in the memory 702 and executable on the processor 701. When the program or instruction is executed by the processor 701, each process of the above-mentioned infrared image-based connector detection device embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0174] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0175] Embodiment 8

[0176] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned infrared image-based connector detection device embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0177] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0178] Embodiment 9

[0179] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned infrared image-based connector detection device embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0180] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0181] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0182] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0183] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

[0184] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A connector detection device based on infrared images, characterized in that: The device comprises: An infrared image acquisition module, used for acquiring an infrared image of a target cable; A connection position confirmation module, used to identify whether there is a connection position in the infrared image according to the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and the connection position between the cables and the terminal; a temperature data acquisition module, configured to acquire temperature data of the connection position according to the infrared image, and identify whether the temperature data meets a preset abnormal condition; The abnormality determination module is used to determine that an abnormality exists in the cable connector when the temperature data meets a preset abnormality condition.

2. The infrared image-based connector detection device according to claim 1, characterized in that: The temperature data acquisition module is specifically used for: Identify the infrared image collected within a preset period, and obtain temperature rise data of the connection position within the preset period; Draw a temperature rise curve according to the temperature rise data, and extract the temperature change rate and temperature change amplitude of the temperature rise curve; Identify whether the temperature change rate and the temperature change amplitude meet a preset abnormal condition.

3. The infrared image-based connector detection device according to claim 1, characterized in that: The temperature data acquisition module is also used for: Acquire temperature data of the connection position within a preset period and temperature data of the wire within a preset range of the connection position according to the infrared image; Determine the temperature rise rate of the connection position according to the temperature data of the connection position, and determine the temperature rise rate of the wire according to the temperature data of the wire; It is identified whether a difference between a temperature rise rate of the connection position and a temperature rise rate of the wire satisfies a preset abnormal condition.

4. The infrared image-based connector detection device according to claim 1, characterized in that: The device also includes: A loop current acquisition module, used to acquire the loop current of the connection position during the heating process; Correspondingly, the temperature data acquisition module is also used for: The temperature threshold and the temperature change rate threshold in the preset abnormal condition are adjusted according to the loop current.

5. The infrared image-based connector detection device according to claim 1, characterized in that: The device also includes: A voltage waveform acquisition module, used to acquire voltage data of the connection position, draw a voltage waveform according to the voltage data, and extract waveform features of the voltage waveform; Accordingly, the abnormality determination module is also used for: It is determined whether the abnormality of the cable connector is a loose abnormality according to the waveform characteristics, and the degree of the looseness of the cable connector is determined.

6. The infrared image-based connector detection device according to claim 5, characterized in that: The abnormality determination module is specifically used to: Pre-acquire cable samples with different degrees of looseness at connection positions, collect standard voltage waveforms of the cable samples, and extract standard features of the standard voltage waveforms; The waveform feature is matched with the standard feature, and the looseness degree of the cable connector is determined according to the matching result.

7. The infrared image-based connector detection device according to claim 1, characterized in that: The device also includes: An electric spark detection module, used to detect whether there is an electric spark at the connection position, and record the occurrence data of the electric spark; wherein the occurrence data includes the occurrence frequency of the electric spark, the number of the electric spark and the occurrence time of the electric spark; When the temperature data exceeds the tolerance temperature of the target cable insulation layer and the occurrence data of the electric spark meets the ignition condition of the cable insulation layer, fire warning information is generated.

8. A method for detecting connectors based on infrared images, characterized in that: The method comprises: Acquire infrared images of target cables; Identify whether there is a connection position in the infrared image according to the historical laying data of the cable; wherein the connection position includes the connection position between cables and the connection position between cables and the terminal; Acquiring temperature data of the connection position according to the infrared image, and identifying whether the temperature data meets a preset abnormal condition; When the temperature data meets the preset abnormal condition, it is determined that the cable connector is abnormal.

9. The method for detecting connectors based on infrared images according to claim 8, characterized in that: Acquiring temperature data of the connection position according to the infrared image, and identifying whether the temperature data meets a preset abnormal condition, including: Identify the infrared image collected within a preset period, and obtain temperature rise data of the connection position within the preset period; Draw a temperature rise curve according to the temperature rise data, and extract the temperature change rate and temperature change amplitude of the temperature rise curve; Identify whether the temperature change rate and the temperature change amplitude meet a preset abnormal condition.

10. An electronic device, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the infrared image-based connector detection method as described in any one of claims 8 to 9 are implemented.

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