An identification device for cable attachments based on a vibration model

Abstract

The present application discloses a device for identifying cable attachments according to a vibration model, and the present application belongs to the technical field of the Internet of Things. It includes: a vibration sensor for acquiring vibration data of a cable at a cable support; a wind sensor for acquiring wind direction data and wind speed data in the environment; a temperature sensor for acquiring temperature information in the environment; constructing a vibration model according to the wind direction data, wind speed data and temperature information, and inputting the vibration data into the vibration model; and determining whether the attachment identification condition is satisfied according to the output result of the vibration model; if so, it is determined that there are attachments on the cable. According to this technical solution, it is possible to judge whether there is an icing phenomenon on the cable under certain conditions based on the data collected by the vibration sensor, so that targeted icing observation arrangements can be made, and the operation safety of the cable can be improved.

Description

Technical Field

[0001] This application belongs to the technical field of the Internet of Things, and particularly relates to a device for identifying cable attachments according to a vibration model. Background Art

[0002] With the rapid development of the technological level, power cables are widely used as the main power transmission equipment in various enterprises, institutions, industrial and mining enterprises, but the inspection tasks are becoming increasingly onerous.

[0003] Currently, the existing technical solution is to monitor whether there is ice on the cable by collecting images through a camera. However, it is difficult to effectively identify when the camera cannot collect clear images in case of heavy snow or foggy weather. Therefore, making the cable ice monitoring not affected by the weather and improving the monitoring accuracy and efficiency are technical problems that need to be urgently solved by those skilled in the art. Summary of the Invention

[0004] The purpose of the embodiments of this application is to provide a device for identifying cable attachments according to a vibration model, which can accurately judge whether there is an ice covering phenomenon on the cable under certain conditions based on the data collected by a vibration sensor, so as to arrange ice covering observations in a targeted manner, ensure the monitoring efficiency, and improve the operation safety of the cable.

[0005] In a first aspect, the embodiments of this application provide a device for identifying cable attachments according to a vibration model, and the device includes:

[0006] A vibration sensor, configured to obtain vibration data of the cable at the cable support; wherein, the vibration data includes at least one of vibration frequency, vibration displacement, vibration velocity, and vibration acceleration;

[0007] A wind sensor, configured to obtain wind direction data and wind speed data in the environment;

[0008] A temperature sensor, configured to obtain temperature information in the environment;

[0009] A processing unit, connected to the vibration sensor, the wind sensor, and the temperature sensor, configured to construct a vibration model according to the wind direction data, the wind speed data, and the temperature information, and input the vibration data into the vibration model; and determine whether the attachment identification condition is satisfied according to the output result of the vibration model; if so, determine that there are attachments on the cable.

[0010] Further, the processing unit is specifically configured to:

[0011] Assign values to preset variables of a preset vibration model according to the wind direction data, the wind speed data, and the temperature information to obtain a vibration model.

[0012] Optionally, the attachment includes at least one of snow, frost, ice, dust, and leaves;

[0013] The vibration model includes:

[0014] A first vibration model corresponding to attached snow;

[0015] A second vibration model corresponding to attached frost;

[0016] A third vibration model corresponding to attached ice;

[0017] A fourth vibration model corresponding to attached dust;

[0018] A fifth vibration model corresponding to attached leaves.

[0019] Further, the processing unit is specifically configured to:

[0020] Input the vibration data into the first vibration model, the second vibration model, the third vibration model, the fourth vibration model, and the fifth vibration model;

[0021] Determine whether the attachment recognition condition is satisfied and the attachment type when the attachment recognition condition is satisfied according to the output results and confidence levels of the respective vibration models.

[0022] Further, the processing unit is specifically configured to:

[0023] If the confidence levels of all the vibration models are less than the first set confidence threshold, it is determined that there is no attachment on the cable;

[0024] If the confidence levels of at least two vibration models are greater than the second set confidence threshold, determine the attachment type on the cable according to the confidence level ranking result of the at least two vibration models.

[0025] Further, the device further includes:

[0026] An alarm unit, connected to the processing unit, for generating an alarm message of a corresponding level according to the attachment degree of the attachment and a pre-set alarm level mapping table when it is determined that there is an attachment on the cable;

[0027] A communication unit, for sending the alarm message to an attachment alarm response device.

[0028] Optionally, the attachment degree includes the attachment thickness or the attachment length of the attachment.

[0029] In a second aspect, this embodiment provides a method for identifying cable attachments according to a vibration model. The method includes:

[0030] Vibration data of the cable at the cable support is obtained through a vibration sensor; wherein, the vibration data includes at least one of vibration frequency, vibration displacement, vibration velocity, and vibration acceleration;

[0031] Wind direction data and wind speed data in the environment are obtained through a wind sensor;

[0032] Temperature information in the environment is obtained through a temperature sensor;

[0033] A vibration model is constructed based on the wind direction data, wind speed data, and temperature information, and the vibration data is input into the vibration model; and according to the output result of the vibration model, it is determined whether the attachment recognition condition is satisfied; if so, it is determined that there is an attachment on the cable.

[0034] Further, constructing a vibration model based on the wind direction data, wind speed data, and temperature information includes:

[0035] Assign values to the preset variables of the preset vibration model according to the wind direction data, wind speed data, and temperature information to obtain a vibration model.

[0036] Assign values to the preset variables of the preset vibration model according to the wind direction data, wind speed data, and temperature information to obtain a vibration model.

[0037] 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 on the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the method described in the first aspect are implemented.

[0038] In a fourth aspect, an embodiment of the present application provides a chip, which includes a processor and a communication interface. 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.

[0039] In the embodiment of the present application, vibration data of the cable at the cable support is obtained through a vibration sensor; wind direction data and wind speed data in the environment are obtained through a wind sensor; temperature information in the environment is obtained through a temperature sensor; a vibration model is constructed based on the wind direction data, wind speed data, and temperature information, and the vibration data is input into the vibration model; and according to the output result of the vibration model, it is determined whether the attachment recognition condition is satisfied; if so, it is determined that there is an attachment on the cable. This technical solution can determine whether there is an icing phenomenon on the cable under certain conditions based on the data collected by the vibration sensor, so that targeted icing observation arrangements can be made to improve the operation safety of the cable. Description of the Drawings

[0040] Figure 1 FIG. 1 is a schematic structural diagram of an apparatus for identifying cable attachments according to a vibration model provided in the first embodiment of the present application;

[0041] Figure 2 FIG. 2 is a schematic structural diagram of an apparatus for identifying cable attachments according to a vibration model provided in the second embodiment of the present application;

[0042] Figure 3 FIG. 3 is a schematic flowchart of a method for identifying cable attachments according to a vibration model provided in the third embodiment of the present application;

[0043] Figure 4 FIG. 4 is a schematic structural diagram of an electronic device provided in the fourth embodiment of the present application. Detailed Embodiments

[0044] In order to make the objectives, technical solutions, and advantages of the present application clearer, the following further describes the specific embodiments of the present application in detail with reference to the accompanying drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, rather than limiting the present application. Additionally, it should be noted that for ease of description, only parts related to the present application are shown in the drawings, rather than all of the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. When the operations are completed, the process can be terminated, but there can also be additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0045] The following will clearly describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, rather than all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application fall within the scope of protection of the present application.

[0046] The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of this application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are usually of the same 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 description and claims means at least one of the connected objects, and the character " / ", generally represents an "or" relationship between the associated objects before and after.

[0047] The following will, with reference to the accompanying drawings, describe in detail the device for identifying cable attachments according to a vibration model provided by the embodiments of this application through specific embodiments and their application scenarios.

[0048] Embodiment 1

[0049] Figure 1 is a schematic structural diagram of the device for identifying cable attachments according to a vibration model provided by Embodiment 1 of this application. As Figure 1 shown, the device includes:

[0050] A vibration sensor 11 for acquiring vibration data of the cable at the cable support; wherein, the vibration data includes at least one of vibration frequency, vibration displacement, vibration velocity, and vibration acceleration;

[0051] A wind sensor 12 for acquiring wind direction data and wind speed data in the environment;

[0052] A temperature sensor 13 for acquiring temperature information in the environment;

[0053] A processing unit 14, connected to the vibration sensor 11, the wind sensor 12, and the temperature sensor 13, for constructing a vibration model according to the wind direction data, wind speed data, and temperature information, and inputting the vibration data into the vibration model; and determining whether the attachment identification condition is satisfied according to the output result of the vibration model; if so, determining that there are attachments on the cable.

[0054] The application scenario of this solution is the monitoring work scenario of high-altitude cable attachments. Data is collected through sensors to judge the vibration situation of the cable under the action of wind, and then to judge whether there are attachments on the cable, and the data collected by the sensors is displayed and alarmed on the screen of the intelligent terminal device. Specifically, the attachment monitoring work can be carried out by receiving the data collected by the sensors through a browser or a dedicated application on the intelligent terminal device. The intelligent terminal device can be a mobile phone, a computer, etc.

[0055] The vibration sensor 11 is used to collect vibration data of an object within a certain area. The cable bracket is for arranging the cables more neatly and facilitating maintenance. In this embodiment, the vibration sensor 11 can be installed at the cable bracket, so that the collected cable vibration data is more in line with the actual vibration condition of the cable, which is conducive to reducing errors and improving the accuracy of the collected vibration data. The vibration data can be data used to represent the intensity of vibration, and can include vibration amplitude and vibration intensity, etc. In this solution, the optional vibration data includes at least one of vibration frequency, vibration displacement, vibration velocity, and vibration acceleration; the vibration frequency is used to represent the number of complete vibrations of the cable per unit time, and can be expressed as 10 Hz. The vibration displacement can be the distance that the cable deviates from the equilibrium position within a certain time, and can be expressed as 1 cm. The vibration velocity can be used to represent the speed of the cable vibration, and can be expressed as 15 cm / s. The vibration acceleration can refer to the change in the amplitude velocity of the cable per unit time, and can be expressed as 0.2 m / s 2 .

[0056] The wind sensor 12 can be a device for measuring the wind force, and can also be installed on the cable bracket, so that the collected data is more in line with the wind force received by the cable, monitoring the error of data collection, and improving the accuracy of attachment monitoring. The wind direction data can be used to represent the direction of the wind, such as southeast wind, north wind, etc. The wind speed data is used to represent the movement rate of the wind in the environment where the cable is located, and can be 1 m / s. In this solution, the wind direction data and the wind speed data in the environment where the cable is located are obtained through the wind sensor 12.

[0057] The temperature sensor 13 is a sensor that can sense the temperature of the environment where the cable is located and convert it into corresponding output data. The temperature sensor 13 can also be installed on the cable bracket to collect the cable environment temperature information, and the environment temperature information is used to represent the degree of cold or heat of the environment, and can include the air temperature, such as 25 degrees Celsius.

[0058] The processing unit 14 can be used to process the data information collected by each of the above sensors, and construct a vibration model based on the collected wind direction data, wind speed data, and temperature information. The vibration model can be determined according to the type of the attached object, and different vibration models are constructed for different types of attached objects. The staff can count the generation conditions of the historical attached object types, and construct the corresponding vibration models according to the wind speed data, wind direction data, and temperature data obtained from the statistical results. And input the vibration data into each type of vibration model. The output result of the vibration model is obtained based on the input vibration data, the wind direction data, wind speed data, and temperature information when constructing the vibration model. The output result of the vibration model can include one or more of the vibration frequency, vibration displacement, vibration speed, and vibration acceleration of the cable. The attached object can be oil stains, branches, etc. The attached object recognition condition can be the basis for judging whether to perform recognition, such as the vibration frequency being less than or equal to 2 m / s, etc. When the output result of the vibration model meets the attached object recognition condition, the attached object is recognized. Exemplarily, the vibration displacement in the output result of the vibration model is 1 cm, and the recognition condition for the branch is that the vibration displacement is less than or equal to 2 cm. Since the condition is met, it is recognized that the attached object on the cable is a branch.

[0059] In the embodiment of the present application, vibration data of the cable at the cable support is obtained through a vibration sensor; wind direction data and wind speed data in the environment are obtained through a wind sensor; temperature information in the environment is obtained through a temperature sensor, which is beneficial to improving the recognition accuracy. A vibration model is constructed according to the wind direction data, wind speed data, and temperature information, and the vibration data is input into the vibration model; and according to the output result of the vibration model, it is determined whether the attached object recognition condition is met; if so, it is determined that there is an attached object on the cable, which is beneficial to improving the monitoring efficiency. With this technical solution, it is possible to judge whether there is an icing phenomenon on the cable under certain conditions based on the data collected by the vibration sensor, so that targeted icing observation arrangements can be made, and the operation safety of the cable can be improved.

[0060] In this solution, optionally, the attached object includes at least one of snow, frost, ice, dust, and leaves; the vibration model includes:

[0061] A first vibration model corresponding to the attached snow;

[0062] A second vibration model corresponding to the attached frost;

[0063] A third vibration model corresponding to the attached ice;

[0064] A fourth vibration model corresponding to the attached dust;

[0065] A fifth vibration model corresponding to the attached leaves.

[0066] Specifically, the attachment may include one or more of snow, ice, dust, and leaves. Since the weight of each attachment is different, different judgment methods will be adopted for different attachments, which is beneficial to improving the accuracy of cable attachment monitoring. In this embodiment, since the generation conditions of each attachment are different, different vibration models are constructed according to different attachment types, which is beneficial to improving the accuracy of the output results of the vibration model and also facilitates the staff to quickly distinguish the attachment types.

[0067] Embodiment 2

[0068] Figure 2 It is a schematic structural diagram of an identification device for cable attachments according to a vibration model provided by an embodiment of the present invention; as Figure 2 shown, specifically including:

[0069] The processing unit 24 is specifically used for:

[0070] Assign values to the preset variables of the preset vibration model according to the wind direction data, wind speed data, and temperature information to obtain a vibration model.

[0071] The preset model is constructed based on the conditions for generating attachments in history. Through the vibration model, it is possible to quickly determine whether to further identify the attachments, which is beneficial to improving the efficiency of attachment monitoring. The preset variables in the preset vibration model may include wind direction data, wind speed data, and temperature information. Specifically, in this solution, different preset variables are set according to different vibration models to construct the vibration model. Exemplarily, the preset variables of the first preset vibration model corresponding to attached snow may be that the wind direction data is northeast wind, the wind speed is 2 m / s, and the temperature is -2 °C; the preset variables of the second preset vibration model corresponding to attached frost may be that the wind direction data is south wind, the wind speed is 1 m / s, and the temperature is -3 °C, etc.

[0072] In the embodiment of the present application, assign values to the preset variables of the preset vibration model according to the wind direction data, wind speed data, and temperature information to obtain a vibration model. This avoids analyzing the wind direction data, wind speed data, and vibration data one by one, which is beneficial to improving the efficiency of attachment monitoring.

[0073] The processing unit 24 is specifically used for:

[0074] Input the vibration data into the first vibration model, the second vibration model, the third vibration model, the fourth vibration model, and the fifth vibration model;

[0075] Determine whether the attachment recognition condition is satisfied according to the output results and confidence levels of each vibration model, and the attachment type when the attachment recognition condition is satisfied.

[0076] The confidence level can be used to represent the accuracy of the model output result. The higher the confidence level, the higher the accuracy of the model output result. The attachment types can also include snow, frost, ice, dust, leaves, and other types. In this embodiment, the vibration data collected by the vibration sensor 21 are respectively input into a preset first vibration model, a second vibration model, a third vibration model, a fourth vibration model, and a fifth vibration model, and the data in each model are analyzed to obtain the corresponding output results and confidence levels. It is determined whether the preset attachment recognition conditions are met according to the output results and confidence levels. Exemplarily, for example, the vibration frequency output by the first vibration model is 1 Hz and the confidence level is 72%. The attachment recognition condition for the attachment snow corresponding to the first vibration model is greater than or equal to 0.5 Hz and the confidence level is greater than or equal to 50%. Then it can be determined that the attachment recognition conditions are met. If the vibration frequency output by the first vibration model is 1 Hz and the confidence level is 40%, it can be determined that the attachment recognition conditions are not met. And the models that meet the attachment recognition conditions can be marked to determine the attachment type to which the marked models belong.

[0077] In the embodiment of the present application, by respectively inputting the vibration data into each vibration model, the output results and confidence levels of each vibration model are respectively compared with the attachment recognition conditions, and then the attachment type when the attachment recognition conditions are met is determined. It is beneficial to quickly determine the attachment type and facilitate targeted observation and processing of the attachment.

[0078] The processing unit 24 is specifically configured to:

[0079] If the confidence levels of all vibration models are less than the first set confidence threshold, it is determined that there are no attachments on the cable;

[0080] If the confidence levels of at least two vibration models are both greater than the second set confidence threshold, the attachment type on the cable is determined according to the confidence level sorting result of the at least two vibration models.

[0081] The confidence threshold can be used to screen the output results of vibration models with low confidence levels, and it is a threshold set for each vibration model. The first set confidence threshold can be used to screen each vibration model, and the first set confidence levels of each vibration model are the same. The second set confidence threshold is greater than the first set confidence threshold.

[0082] In this embodiment, when the confidence levels of all vibration models are less than the first set confidence threshold. When there is a vibration model with a confidence level greater than or equal to the first set confidence threshold, it is necessary to further determine whether there is an attachment corresponding to the vibration model on the cable. If the confidence level of a vibration model is greater than or equal to the second set confidence threshold, it is determined that there is an attachment corresponding to the vibration model on the cable. If the confidence levels of one or more vibration models are all greater than the second set confidence threshold, they are sorted according to the magnitude of the confidence levels, and the attachment corresponding to the vibration model with the highest confidence level is determined as the attachment existing on the cable. Exemplarily, if the second set confidence threshold is 60%, the confidence level of the first vibration model is 70%, the confidence level of the second vibration model is 80%, the confidence level of the third vibration model is 90%, the confidence level of the fourth vibration model is 50%, and the confidence level of the fifth vibration model is 55%. The confidence levels of the first vibration model, the second vibration model, and the third vibration model all exceed the second set confidence threshold of 60%. Then, the confidence levels of the first vibration model, the second vibration model, and the third vibration model are sorted, and the ice corresponding to the third vibration model with the highest confidence level is determined as the type of attachment on the cable. Therefore, it can be determined that the cable attachment is ice.

[0083] In the embodiment of the present application, by setting the first set confidence threshold and the second set confidence threshold, comparing the confidence level of the vibration model with the first set confidence threshold and the second set confidence threshold, and screening out the output results of the vibration models with lower confidence levels, the accuracy of attachment monitoring can be ensured, the type of cable attachment can be quickly determined, and the efficiency of attachment monitoring can be improved.

[0084] The device further includes:

[0085] An alarm unit 25, connected to the processing unit, for generating alarm information of a corresponding level according to the degree of attachment of the attachment and a pre-set alarm level mapping table when it is determined that there is an attachment on the cable;

[0086] A communication unit 26, for sending the alarm information to an attachment alarm response device.

[0087] The degree of attachment may represent different degrees of attachment due to different types of attachments. For example, if the type of attachment is ice, the degree of attachment can be used to represent the weight of the ice. The degree of attachment can be divided into different levels. The stronger the degree of attachment of each type of attachment, the higher the level, which can be expressed as the first-level degree of attachment, the second-level degree of attachment, and the third-level degree of attachment. Exemplarily, the weight of the first-level degree of attachment of ice can be set to 200 grams, the weight of the second-level degree of attachment to 300 grams, and the weight of the third-level degree of attachment to 400 grams. The pre-set alarm level mapping table can record the mapping relationship between different degrees of attachment of different attachments and the alarm levels. The alarm levels can also be set according to the degree levels of attachment of the attachments, and can be set as the first-level alarm, the second-level alarm, and the third-level alarm. Specifically, the first-level degree of attachment of ice corresponds to the first-level alarm of ice, the second-level degree of attachment of ice corresponds to the second-level alarm of ice, and the third-level degree of attachment of ice corresponds to the third-level alarm of ice.

[0088] The alarm information can enable the staff to quickly understand the situation of attachments on the cable, facilitating the staff to conduct targeted observation and handling. The alarm information can include information such as the type of attachment, the degree of attachment of the attachment, and the number of the area where the cable is located. In this embodiment, the alarm information of the corresponding level will be generated according to the alarm level corresponding to the degree of attachment of the attachment. Exemplarily, if the attachment is ice and the degree of attachment is the first-level degree of attachment, a first-level alarm and information such as the type of attachment corresponding to the first-level alarm, the degree of attachment of the attachment, and the number of the area where the cable is located will be generated according to the alarm level mapping table.

[0089] The attachment alarm response device can be an intelligent terminal device or devices such as a broadcast and an audible and visual alarm. The communication unit 25 sends the alarm information of the attachment to the screen of the intelligent terminal device by email or text message through the network for display, or can also be broadcast on the broadcast in the form of voice, and can also be prompted through the audible and visual alarm. In this embodiment, different alarm levels will be alarmed in different ways. Exemplarily, the first-level alarm information can be reminded through the audible and visual alarm, the second-level alarm information can be reminded in the form of a broadcast, and the third-level alarm information can be sent to the intelligent terminal device by information for reminder. This is beneficial for the staff to obtain the alarm information in a timely manner and quickly distinguish the alarm levels through the alarm information.

[0090] In this embodiment, optionally, the degree of attachment includes the attachment thickness or the attachment length of the attachment. The attachment thickness and attachment length of the attachment affect the amplitude of the cable vibration, etc. The thicker the attachment thickness of the attachment, the smaller the swing amplitude of the cable at low wind speeds. The longer the attachment length of the cable, the greater the swing amplitude of the cable at high wind speeds. In this embodiment, the attachment thickness and attachment length can more affect the judgment of the type of cable attachment, which is beneficial for the staff to understand the status of each attachment and make targeted handling.

[0091] In an embodiment of the present application, preset variables of a preset vibration model are assigned according to the wind direction data, wind speed data, and temperature information to obtain a vibration model. Avoiding analyzing the wind direction data, wind speed data, and vibration data one by one is beneficial to improving the efficiency of attachment monitoring; by inputting the vibration data into each vibration model respectively, the output results and confidence levels of each vibration model are compared with the attachment recognition conditions respectively, and then the type of attachment when the attachment recognition conditions are met is determined. It is beneficial to quickly determine the type of attachment and facilitate targeted observation and processing of the attachment; by setting a first set confidence threshold and a second set confidence threshold, comparing the confidence level of the vibration model with the first set confidence threshold and the second set confidence threshold, and screening out the output results of the vibration model with a lower confidence level, the accuracy of attachment monitoring can be ensured, and the type of cable attachment can be quickly determined; through the alarm unit, when it is determined that there is an attachment on the cable, corresponding level alarm information is generated according to the attachment degree of the attachment and a pre-set alarm level mapping table; it is beneficial for the staff to obtain the alarm information in time and quickly distinguish the alarm level through the alarm information.

[0092] Embodiment III

[0093] Figure 3 It is a schematic flow chart of a method for identifying cable attachments according to a vibration model provided by an embodiment of the present invention, and has corresponding functional modules and beneficial effects for implementing the method. As Figure 3 shown, the method specifically includes:

[0094] S301. Obtain vibration data of the cable at the cable support through a vibration sensor; wherein, the vibration data includes at least one of vibration frequency, vibration displacement, vibration velocity, and vibration acceleration;

[0095] S302. Obtain wind direction data and wind speed data in the environment through a wind sensor;

[0096] S303. Obtain temperature information in the environment through a temperature sensor;

[0097] S304. Construct a vibration model according to the wind direction data, wind speed data, and temperature information, and input the vibration data into the vibration model; and determine whether the attachment recognition conditions are met according to the output result of the vibration model; if so, it is determined that there is an attachment on the cable.

[0098] Optionally, constructing a vibration model according to the wind direction data, wind speed data, and temperature information includes:

[0099] Assign values to the preset variables of the preset vibration model according to the wind direction data, wind speed data, and temperature information to obtain a vibration model.

[0100] In the embodiment of the present application, vibration data of the cable at the cable support is obtained through a vibration sensor; wind direction data and wind speed data in the environment are obtained through a wind sensor; and temperature information in the environment is obtained through a temperature sensor, which is beneficial to improving the recognition accuracy. A vibration model is constructed according to the wind direction data, wind speed data, and temperature information, and the vibration data is input into the vibration model; and according to the output result of the vibration model, it is determined whether the attachment recognition condition is satisfied; if so, it is determined that there is an attachment on the cable, which is beneficial to improving the monitoring efficiency. This technical solution can determine whether there is an icing phenomenon on the cable under certain conditions based on the data collected by the vibration sensor, so that targeted icing observation arrangements can be made to improve the operation safety of the cable.

[0101] The device for identifying cable attachments according to the vibration model in the embodiment of the present application can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a handheld computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc., and the non-mobile electronic device can be a server, a Network Attached Storage (NAS), a personal computer (PC), a television (TV), a teller machine, or a self-service machine, etc. The embodiment of the present application does not make specific limitations.

[0102] The device for identifying cable attachments according to the vibration model in the embodiment of the present application can be a device with an operating system. The operating system can be the Android operating system, the iOS operating system, or other possible operating systems. The embodiment of the present application does not make specific limitations.

[0103] The method for identifying cable attachments according to the vibration model provided in the embodiment of the present application can achieve Figures 1 to 2 each process implemented by the device embodiment. To avoid repetition, it will not be elaborated here.

[0104] Embodiment 4

[0105] Figure 4This is a schematic structural diagram of the electronic device provided in Embodiment 4 of the present application. As Figure 4 shown, the embodiment of the present application further provides a computer device, which can integrate the device for identifying cable attachments according to the vibration model provided in the embodiment of the present application. Figure 4 This is a schematic structural diagram of a computer device provided in the embodiment of the present application. Referring to Figure 4 , the computer device includes: an input device 43, an output device 44, a memory 42, and one or more processors 41; the memory 42 is used to store one or more programs; when the one or more programs are executed by the one or more processors 41, the one or more processors 41 implement the method for identifying cable attachments according to the vibration model as described in the above embodiments. Among them, the input device 43, the output device 44, the memory 42, and the processor 41 can be connected through a bus or other means, Figure 4 and the connection through the bus is taken as an example here.

[0106] The memory 42, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the device for identifying cable attachments according to the vibration model described in any embodiment of the present application. The memory 42 mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the device. In addition, the memory 42 can include high-speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices. In some instances, the memory 42 can further include a memory remotely set relative to the processor 41, and these remote memories can be connected to the device through a network. Examples of the above networks include, but are not limited to, the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0107] The input device 43 can be used to receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the device. The output device 44 can include a display device such as a display screen.

[0108] The processor 41 executes various functional applications and data processing of the device by running software programs, instructions, and modules stored in the memory 42, that is, implements the device for identifying cable attachments according to the vibration model described above.

[0109] The above-provided device, equipment, and computer for identifying cable attachments according to the vibration model can be used to execute the method for identifying cable attachments according to the vibration model in any of the above embodiments, and have corresponding functions and beneficial effects.

[0110] Embodiment 5

[0111] Embodiment 5 of the present application further provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is configured to run programs or instructions to implement each process of the above-mentioned embodiment of the apparatus for identifying cable attachments according to the vibration model, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0112] It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, system chip, chip system, or system-on-chip.

[0113] It should be noted that in this article, the term "comprising", "including" or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or device comprising such 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 a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, the features described with reference to certain examples may be combined in other examples.

[0114] Through the description of the above embodiments, 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. Of course, they can also be implemented 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, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present application.

[0115] The above describes the embodiments of the present application in conjunction with the accompanying drawings. However, the present application is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms without departing from the purpose of the present application and the scope protected by the claims, and all of them belong to the protection scope of the present application.

[0116] The above are only the preferred embodiments of the present application and the technical principles applied. The present application is not limited to the specific embodiments described herein. Various obvious changes, re-adjustments and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, it may also include more other equivalent embodiments, and the scope of the present application is determined by the scope of the claims.

Claims

1. An identification device for cable attachments according to a vibration model, characterized in that The device includes: a vibration sensor for acquiring vibration data of the cable at the cable support; wherein, the vibration data includes at least one of vibration frequency, vibration displacement, vibration velocity, and vibration acceleration; a wind sensor for acquiring wind direction data and wind speed data in the environment; a temperature sensor for acquiring temperature information in the environment; a processing unit connected to the vibration sensor, the wind sensor, and the temperature sensor, configured to construct a vibration model and perform attachment identification according to the wind direction data, wind speed data, and temperature information, the attachments including at least one of snow, frost, ice, dust, and leaves, the vibration model including a first vibration model corresponding to attached snow, a second vibration model corresponding to attached frost, a third vibration model corresponding to attached ice, a fourth vibration model corresponding to attached dust, and a fifth vibration model corresponding to attached leaves, the processing unit further configured to input the vibration data into the first vibration model, the second vibration model, the third vibration model, the fourth vibration model, and the fifth vibration model, if the confidence levels of each vibration model are all less than a first set confidence threshold, determine that there are no attachments on the cable, if there are at least two vibration models with confidence levels greater than a second set confidence threshold, determine the type of attachment on the cable according to the confidence level sorting result of the at least two vibration models.

2. The cable attachment recognition device according to the vibration model as claimed in claim 1, wherein The processing unit is specifically configured to: assign values to preset variables of a preset vibration model according to the wind direction data, wind speed data, and temperature information to obtain a vibration model.

3. The cable attachment identification device according to the vibration model as claimed in claim 1, wherein The device further includes: an alarm unit connected to the processing unit, configured to generate alarm information of a corresponding level according to the attachment degree of the attachment and a preset alarm level mapping table when it is determined that there are attachments on the cable; a communication unit for sending the alarm information to an attachment alarm response device.

4. The cable attachment recognition device according to the vibration model as claimed in claim 3, wherein The attachment degree includes the attachment thickness or attachment length of the attachment.

5. A method for identifying cable attachments according to a vibration model, characterized in that, The method includes: acquiring vibration data of the cable at the cable support through a vibration sensor; wherein, the vibration data includes at least one of vibration frequency, vibration displacement, vibration velocity, and vibration acceleration; acquiring wind direction data and wind speed data in the environment through a wind sensor; acquiring temperature information in the environment through a temperature sensor; Construct a vibration model based on the wind direction data, wind speed data, and temperature information, and perform attachment identification. The attachments include at least one of snow, frost, ice, dust, and leaves. The vibration model includes: a first vibration model corresponding to attached snow, a second vibration model corresponding to attached frost, a third vibration model corresponding to attached ice, a fourth vibration model corresponding to attached dust, and a fifth vibration model corresponding to attached leaves. The attachment identification includes: inputting the vibration data into the first vibration model, the second vibration model, the third vibration model, the fourth vibration model, and the fifth vibration model. If the confidence levels of all the vibration models are less than a first set confidence threshold, it is determined that there are no attachments on the cable. If the confidence levels of at least two vibration models are greater than a second set confidence threshold, the type of attachment on the cable is determined according to the confidence level ranking result of the at least two vibration models.

6. The method for identifying cable attachments according to the vibration model as claimed in claim 5, wherein Constructing a vibration model based on the wind direction data, wind speed data, and temperature information includes: Assign values to the preset variables of a preset vibration model according to the wind direction data, wind speed data, and temperature information to obtain a vibration model.

7. An electronic device, characterized in that, It includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor. When the program or instruction is executed by the processor, it implements the steps of the method for identifying cable attachments according to a vibration model as described in any one of claims 5-6.

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