Cable early warning device and method, computer equipment, readable storage medium and program product

Abstract

The invention relates to a cable early warning device and method, computer equipment, a readable storage medium and a program product, and is applied to the technical field of big data, and the device comprises a cable detection module which is used for detecting cable data of a target cable; the object detection module is used for detecting object identity information of an approaching object corresponding to the target cable, and the position relation between the approaching object and the cable meets a preset position relation condition; the control module is used for acquiring cable data and performing anomaly detection on a target cable according to the cable data to obtain cable anomaly detection information; the control module is also used for acquiring object identity information when the cable anomaly detection information represents that the approaching object has an abnormal behavior risk, and generating cable early warning information according to the object identity information and the cable anomaly detection information; and the control module is also used for giving a cable alarm according to the cable early warning information when the cable early warning information represents that the approaching object has an abnormal behavior risk. The cable early warning device can improve the early warning accuracy of the cable.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cable early warning, in particular to a cable early warning device, method, computer equipment, computer readable storage medium and computer program product. BACKGROUND

[0002] With the increasing use of electricity by residents, the scale of cable investment is also increasing. The material inside the cable is mostly copper, and most of them are arranged in places where personnel cannot enter and identify, such as outdoors. Therefore, the cable is easily regarded as a target for theft by thieves, so there is an urgent need for a cable early warning method.

[0003] At present, the camera deployed at the location of the cable is usually used to realize cable early warning, but the coverage of the camera is limited, and there may be monitoring blind spots. In addition, the monitoring effect is not good in extreme time (for example, at night, in fog and haze, and in rain and snow, etc. The time with low visibility, and the time in bad weather), and it is easy to fail to timely cable early warning, resulting in low cable early warning accuracy. SUMMARY

[0004] Therefore, it is necessary to provide a cable early warning device, method, computer equipment, computer readable storage medium and computer program product capable of reducing the interaction limitations of cable early warning in view of the above technical problems.

[0005] In a first aspect, the present application provides a cable early warning device, comprising: a control module, a cable detection module and an object detection module;

[0006] The cable detection module is configured to detect at least one cable data of a target cable, wherein the cable data is used to represent at least one of the electrical properties and the cable identification of the target cable;

[0007] The object detection module is configured to detect object identity information of a close object corresponding to the target cable, wherein the positional relationship between the close object and the cable satisfies a preset positional relationship condition;

[0008] The control module is configured to perform a data acquisition step: acquiring at least one cable data detected by the cable detection module, and performing abnormal detection on the target cable according to the at least one cable data, to obtain cable abnormal detection information;

[0009] The control module is further configured to, when the cable abnormal detection information represents that the close object has an abnormal behavior risk, acquire the object identity information detected by the object detection module, and generate cable early warning information according to the object identity information and the cable abnormal detection information;

[0010] The control module is further configured to perform cable warning according to the cable warning information when the cable warning information indicates that the approaching object has abnormal behavior risk.

[0011] In a second aspect, the present application provides a cable warning method applied to a control module of a cable anti-theft warning device, the cable anti-theft warning device further comprising a cable detection module and an object detection module; the method comprising:

[0012] A data acquisition step: acquiring at least one cable data of a target cable detected by the cable detection module, and performing abnormal detection on the target cable according to the at least one cable data to obtain cable abnormal detection information, wherein the cable data is used to indicate at least one of electrical property and cable identification of the target cable;

[0013] When the cable abnormal detection information indicates that the approaching object has abnormal behavior risk, acquiring object identity information of an approaching object corresponding to the target cable detected by the object detection module, wherein a positional relationship between the approaching object and the cable satisfies a preset positional relationship condition;

[0014] Generating cable warning information according to the object identity information and the cable abnormal detection information, and performing cable warning according to the cable warning information when the cable warning information indicates that the approaching object has abnormal behavior risk.

[0015] In a third aspect, the present application further provides a computer device comprising a memory and a processor, the memory storing a computer program, and the computer program being applied to a control module of a cable anti-theft warning device, the cable anti-theft warning device further comprising a cable detection module and an object detection module; the processor implements the following steps when executing the computer program:

[0016] A data acquisition step: acquiring at least one cable data of a target cable detected by the cable detection module, and performing abnormal detection on the target cable according to the at least one cable data to obtain cable abnormal detection information, wherein the cable data is used to indicate at least one of electrical property and cable identification of the target cable;

[0017] When the cable abnormal detection information indicates that the approaching object has abnormal behavior risk, acquiring object identity information of an approaching object corresponding to the target cable detected by the object detection module, wherein a positional relationship between the approaching object and the cable satisfies a preset positional relationship condition;

[0018] generate cable warning information according to the object identity information and the cable anomaly detection information, and perform cable alarm according to the cable warning information when the cable warning information represents that the approaching object has an abnormal behavior risk.

[0019] In a fourth aspect, the present application also provides a computer readable storage medium having a computer program stored thereon, which is applied to a control module in a cable anti-theft early warning device, the cable anti-theft early warning device further comprising a cable detection module and an object detection module; the computer program, when executed by a processor, implements the following steps:

[0020] data acquisition step: acquiring at least one cable data of a target cable detected by the cable detection module, and performing anomaly detection on the target cable according to the at least one cable data to obtain cable anomaly detection information, wherein the cable data is used to represent at least one of an electrical property and a cable identifier of the target cable;

[0021] when the cable anomaly detection information represents that the approaching object has an abnormal behavior risk, acquiring object identity information of an approaching object corresponding to the target cable detected by the object detection module, wherein a positional relationship between the approaching object and the cable satisfies a preset positional relationship condition;

[0022] generate cable warning information according to the object identity information and the cable anomaly detection information, and perform cable alarm according to the cable warning information when the cable warning information represents that the approaching object has an abnormal behavior risk.

[0023] In a fifth aspect, the present application also provides a computer program product comprising a computer program, which is applied to a control module in a cable anti-theft early warning device, the cable anti-theft early warning device further comprising a cable detection module and an object detection module; the computer program, when executed by a processor, implements the following steps:

[0024] data acquisition step: acquiring at least one cable data of a target cable detected by the cable detection module, and performing anomaly detection on the target cable according to the at least one cable data to obtain cable anomaly detection information, wherein the cable data is used to represent at least one of an electrical property and a cable identifier of the target cable;

[0025] when the cable anomaly detection information represents that the approaching object has an abnormal behavior risk, acquiring object identity information of an approaching object corresponding to the target cable detected by the object detection module, wherein a positional relationship between the approaching object and the cable satisfies a preset positional relationship condition;

[0026] According to the object identity information and the cable anomaly detection information, cable warning information is generated, and when the cable warning information indicates that the approaching object has an abnormal behavior risk, cable warning is performed according to the cable warning information.

[0027] The cable warning device, method, computer device, computer readable storage medium and computer program product, comprising: a control module, a cable detection module and an object detection module; the cable detection module is configured to detect at least one cable data of a target cable, wherein the cable data is used to represent at least one of the electrical property and the cable identification of the target cable; the object detection module is configured to detect object identity information of an approaching object corresponding to the target cable, wherein the position relationship between the approaching object and the cable satisfies a preset position relationship condition; the control module is configured to perform a data acquisition step: acquiring the at least one cable data detected by the cable detection module, and performing anomaly detection on the target cable according to the at least one cable data to obtain cable anomaly detection information; the control module is further configured to acquire the object identity information detected by the object detection module when the cable anomaly detection information indicates that the approaching object has an abnormal behavior risk, and generate cable warning information according to the object identity information and the cable anomaly detection information; and the control module is further configured to perform cable warning according to the cable warning information when the cable warning information indicates that the approaching object has an abnormal behavior risk.

[0028] In this way, by representing at least one of the electrical property and the cable identification of the target cable through the cable data, performing anomaly detection on the target cable to obtain cable anomaly detection information, the object identity information of the approaching object corresponding to the target cable detected by the object detection module can be acquired when the cable anomaly detection information indicates that the approaching object has an abnormal behavior risk, so that the approaching object approaching the target cable can be detected for identity according to the object identity information, and then the cable warning information is generated according to the object identity information and the cable anomaly detection information, and the cable warning is performed according to the cable warning information when the cable warning information indicates that the approaching object has an abnormal behavior risk; by evaluating the impact of abnormal behavior on the target cable, the risk of stealing the target cable is detected, and by verifying the identity to exclude the normal maintenance or operation behavior of the target cable, it is ensured that the abnormal behavior of the approaching object can be monitored in time and the corresponding warning is performed, and the cable warning accuracy is improved. BRIEF DESCRIPTION OF DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the following will briefly introduce the drawings needed to be used in the description of the embodiments of the present application. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other related drawings can also be obtained from these drawings without creative labor.

[0030] Figure 1 Structure diagram of a cable early warning device in an embodiment;

[0031] Figure 2 Structure diagram of a cable early warning device and a target cable when the cable detection module includes a tag identification module and a current transformer in an embodiment;

[0032] Figure 3 Structure diagram of a cable early warning device when the cable early warning device further includes an alarm module, a camera, a supervision module and a power module in an embodiment;

[0033] Figure 4 Structure diagram of a cable early warning device in a detailed embodiment;

[0034] Figure 5 Flow diagram of a cable early warning method in an embodiment;

[0035] Figure 6 Internal structure diagram of a computer device in an embodiment. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solutions and advantages of the present application clearer, the following will further describe the present application in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0037] It should be noted that the information and data involved in the present application (including but not limited to data for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or authorized by all parties, and the acquisition, transmission, storage, use and processing of the related data comply with the relevant provisions of national laws and regulations. In the embodiments of the present application, some software, components, models and other industry existing solutions may be mentioned, which should be considered as exemplary, and the purpose is only to illustrate the feasibility of the implementation of the technical solutions of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0038] In an exemplary embodiment, as shown in Figure 1 A cable early warning device 10 is provided, which includes a control module 11, a cable detection module 12 and an object detection module 13.

[0039] The control module 11 is in communication with the cable detection module 12 and the object detection module 13 respectively.

[0040] The cable detection module 12 is configured to detect at least one cable data of the target cable, wherein the cable data is used to represent at least one of the electrical condition and the cable identification of the target cable.

[0041] The target cable can be single or multiple, which is not limited herein; the number of the target cable is consistent with the number of the cable detection module 12; the target cable 20 includes at least one of the A-phase cable, the B-phase cable, the C-phase cable and the N-phase cable; the electrical condition can be but not limited to the current data, the voltage data, the current waveform and the voltage waveform, etc.

[0042] Optionally, referring to Figure 2 The cable detection module 12 includes a first tag identification module 121 and a current transformer 122, the current transformer 122 is disposed on the target cable 20, the target cable 20 is configured with a cable identification 30, the first tag identification module 121 is configured to identify the cable identification 30 of the target cable 20, and the current transformer 122 is configured to detect the current signal of the target cable 20.

[0043] The cable identification 30 can be hiddenly installed in the target cable 20.

[0044] The object detection module 13 is configured to detect the object identity information of the target cable corresponding to the proximity object, wherein the positional relationship between the proximity object and the cable satisfies a preset positional relationship condition.

[0045] The object detection module 13 can be a combination of a second tag identification module and a human body sensor, or a face recognition module; the human body sensor can be but not limited to an infrared human body sensor (which detects human heat source by using infrared radiation principle). The positional relationship can be a distance, or a location range formed by the location; the preset positional relationship condition can be less than a preset distance threshold, or a preset location range, the preset positional relationship condition corresponds to the detection range of the object detection module 13, specifically, the greater the detection range of the object detection module 13, the greater the preset distance threshold, and the greater the preset location range. The second tag identification module is configured to identify the employee tag carried by the proximity object, and the employee tag can only be carried by the legal operator of the cable.

[0046] As an embodiment, when the human body sensor detects that there is a close object corresponding to the target cable, the second tag identification module is used to detect the employee tag of the close object to obtain object identity information, wherein when the employee tag is not detected, the obtained object identity information indicates that the close object does not have an employee tag, and when the employee tag is detected, the obtained object identity information indicates at least one of the employee identity and the employee work content.

[0047] As another embodiment, the face recognition module is used to detect the face information of the close object corresponding to the target cable to obtain object identity information.

[0048] The control module 11 acquires at least one cable data detected by the cable detection module 12, and performs abnormality detection on the target cable according to the at least one cable data to obtain cable abnormality detection information; when the cable abnormality detection information indicates that the close object has an abnormal behavior risk, the object identity information detected by the object detection module 13 is acquired, and the cable warning information is generated according to the object identity information and the cable abnormality detection information; when the cable warning information indicates that the close object has an abnormal behavior risk, the cable warning is performed according to the cable warning information.

[0049] As an embodiment, the control module 11 is configured to generate a current waveform of the target cable 20 according to a current signal of the target cable 20 detected by the current transformer 122.

[0050] Optionally, referring to Figure 3 , the cable warning device 10 further comprises an alarm module 14, a camera 15, a supervision module 16 and a power module 17.

[0051] As an embodiment, the alarm module 14 communicates with the control module 11, and the control module 11 is configured to control the alarm module 14 to perform the cable warning according to the cable warning information when the cable warning information indicates that the close object has an abnormal behavior risk.

[0052] The form of the cable warning includes at least one of sound alarm and light alarm.

[0053] In this way, not only the close object with an abnormal behavior can be warned, but also the nearby staff can be prompted.

[0054] As an embodiment, the camera 15 communicates with the control module 11, and the control module 11 is configured to control the camera 15 to capture an image of an environment where the target cable is located when the cable warning information indicates that the close object has an abnormal behavior risk.

[0055] As an embodiment, the supervisory module 16 communicates with the control module 11, and the control module 11 is configured to send the cable warning information and the image of the environment where the target cable is located collected by the camera 15 to the supervisory module 16 when the cable warning information indicates that the subject existing near the target cable has an abnormal behavior risk.

[0056] The supervisory module 16 and the control module 11 can be remotely wirelessly connected, for example, GSM (Global System for Mobile Communications) / GPRS (General Packet Radio Service), 4G / 5G, etc.

[0057] In this way, remote monitoring and management of the target cable can be achieved.

[0058] As an embodiment, the power module 17 includes an energy storage battery and a solar cell, and the control module 11 is configured to control the battery module 18 to supply power to the cable warning device 10.

[0059] In this way, green power supply of the cable warning device 10 can be achieved.

[0060] In this embodiment, the cable data representing at least one of the electrical condition of the target cable and the cable identifier is used to detect the abnormality of the target cable, and the cable abnormality detection information is obtained. Therefore, when the cable abnormality detection information indicates that the subject existing near the target cable has an abnormal behavior risk, the subject identity information of the subject existing near the target cable detected by the subject detection module is obtained, so that the identity of the subject existing near the target cable can be detected based on the subject identity information, and then the cable warning information is generated based on the subject identity information and the cable abnormality detection information. When the cable warning information indicates that the subject existing near the target cable has an abnormal behavior risk, the cable warning information is used for cable warning; the impact of the abnormal behavior on the target cable is evaluated to detect the theft risk of the target cable, and the identity verification is used to exclude the normal maintenance or operation behavior of the target cable, so that the abnormal behavior of the subject existing near the target cable can be detected in time and the corresponding warning can be given, and the cable warning accuracy is improved.

[0061] As an embodiment, the at least one cable data includes a plurality of cable electrical property data and cable identifier information; and the control module is further configured to:

[0062] The waveform change of the target cable is characterized based on the plurality of cable electrical property data to obtain cable waveform change characteristics; and the identifier change of the cable identifier configured on the target cable is characterized based on the cable identifier information to obtain cable identifier change characteristics.

[0063] The cable identification change feature is used to represent at least one of a cable identification position change condition and a cable identification completeness change condition. The cable waveform change feature is used to represent at least one of a waveform mutation condition, a waveform distortion condition, and a waveform normal condition.

[0064] As an embodiment, according to the cable identification information, the identification change of the cable identification configured on the target cable is characterized, to obtain the cable identification change feature, including: according to the cable identification position information, the position change of the cable identification configured on the target cable is characterized, to obtain the identification position change feature; according to the cable identification recognition information, the completeness change of the cable identification configured on the target cable is characterized, to obtain the identification completeness change feature; the identification position change feature and the identification completeness change feature are fused, to obtain the cable identification change feature.

[0065] The fusion mode of the identification position change feature and the identification completeness change feature includes but is not limited to feature summation and feature splicing; in the case of feature summation, the identification position change feature and the identification completeness change feature are normalized respectively, and then feature summation is performed.

[0066] In this way, considering that the abnormal behavior for the target cable may cause the cable identification position of the target cable to change, that is, the target cable with the cable identification is taken away by the approaching object, and considering that the abnormal behavior for the target cable may cause the cable identification of the target cable to be incomplete, specifically, since the cable identification is hidden and configured on the target cable, the approaching object may not be aware of the cable identification, and then when the approaching object cuts off the target cable, the cable identification may be damaged, so that the cable identification is incomplete.

[0067] According to the cable identification change feature, the cable identification abnormality detection of the target cable is performed, to obtain identification abnormality detection information; and according to the cable waveform change feature, the cable waveform abnormality detection of the target cable is performed, to obtain waveform abnormality detection information.

[0068] As an embodiment, according to the cable identification change feature, the target cable is subjected to cable identification anomaly detection to obtain identification anomaly detection information, including: in the case of the cable identification change feature being a summation feature, if the cable identification change feature represents a feature value greater than a preset feature value threshold, identification anomaly detection information representing that the object nearby has an abnormal behavior risk is generated; if the cable identification change feature represents a feature value not greater than the preset feature value threshold, identification anomaly detection information representing that the object nearby has no abnormal behavior risk is generated; in the case of the cable identification change feature being a splicing feature, if the identification position change feature in the cable identification change feature represents an identification position change amount greater than a preset change amount threshold, or if the identification integrity change feature represents an identification integrity less than a preset integrity threshold, identification anomaly detection information representing that the object nearby has an abnormal behavior risk is generated; if the identification position change feature in the cable identification change feature represents an identification position change amount not greater than the preset change amount threshold, and the identification integrity change feature represents an identification integrity not less than the preset integrity threshold, identification anomaly detection information representing that the object nearby has no abnormal behavior risk is generated.

[0069] The preset change amount threshold corresponds to a movement restriction range of the target cable, and the greater the movement restriction range of the target cable, the greater the preset change amount threshold. The preset integrity threshold corresponds to the size of the cable identification, and the greater the cable identification, the greater the preset integrity threshold.

[0070] As an embodiment, according to the cable waveform change feature, the target cable is subjected to cable waveform anomaly detection to obtain waveform anomaly detection information, including at least one of the following: if the cable waveform change feature represents that there is waveform interruption, cable disconnection information is determined as the waveform anomaly detection information; if the cable waveform change feature represents that there is waveform distortion, bypass circuit addition information is determined as the waveform anomaly detection information.

[0071] The bypass circuit addition information and the cable disconnection information both represent that the object nearby has an abnormal behavior risk.

[0072] Optionally, if the cable waveform change feature represents that the change amount between adjacent cable electrical property data is greater than a preset change amount threshold, it is determined that the cable waveform change feature represents that there is waveform interruption; if the cable waveform change feature represents that the change amount between adjacent cable electrical property data is not greater than the preset change amount threshold, it is determined that the cable waveform change feature represents that there is no waveform interruption.

[0073] The preset change amount threshold corresponds to the distribution of the plurality of cable electrical property data, specifically, the greater the maximum change amount between the plurality of cable electrical property data, the greater the preset change amount threshold.

[0074] Optionally, if the cable waveform change characteristic characterizes the presence of an irregularly changing waveform, it is determined that the cable waveform change characteristic characterizes the presence of waveform distortion; if the cable waveform change characteristic characterizes the absence of an irregularly changing waveform, it is determined that the cable waveform change characteristic characterizes the absence of waveform distortion.

[0075] The irregularly changing waveform includes at least one of a clipped top waveform, a flat bottom waveform and a spike waveform.

[0076] As an embodiment, cable waveform anomaly detection is performed on the target cable based on the cable waveform change characteristics, and the waveform anomaly detection information obtained also includes: if the cable waveform change characteristics indicate that there is no waveform interruption or waveform distortion, then waveform anomaly detection information is generated indicating that there is no risk of abnormal behavior near the object.

[0077] According to the identification anomaly detection information and the waveform anomaly detection information, an anomaly detection is performed on the target cable to obtain cable anomaly detection information.

[0078] As one embodiment, an abnormality detection is performed on the target cable based on the identification abnormality detection information and the waveform abnormality detection information to obtain cable abnormality detection information, including: if the identification abnormality detection information and the waveform abnormality detection information both indicate that there is no abnormal behavior risk near the object, then cable abnormality detection information is generated indicating that there is no abnormal behavior risk near the object; if the identification abnormality detection information indicates that there is an abnormal behavior risk near the object, or the waveform abnormality detection information indicates that there is an abnormal behavior risk near the object, then cable abnormality detection information is generated indicating that there is an abnormal behavior risk near the object.

[0079] Among them, when both the identification abnormality detection information and the waveform abnormality detection information represent the risk of abnormal behavior near the object, the abnormal behavior risk near the object represented by the generated cable abnormality detection information is higher than the abnormal behavior risk near the object represented by the generated cable abnormality detection information when the identification abnormality detection information or the waveform abnormality detection information represents the risk of abnormal behavior near the object.

[0080] As another embodiment, an abnormality detection is performed on the target cable based on the identification abnormality detection information and the waveform abnormality detection information to obtain cable abnormality detection information, including: weighting the identification abnormality detection information by a first weight to obtain first weighted information, and weighting the waveform abnormality detection information by a second weight to obtain second weighted information; and performing an abnormality detection on the target cable based on the first weighted information and the second weighted information to obtain cable abnormality detection information.

[0081] The first weight and the second weight can be set by the user as needed, or can be empirical values.

[0082] As an embodiment, the control module is further configured to:

[0083] If the abnormal behavior risk of the object existing near the cable represented by the cable abnormality detection information is higher than the preset risk threshold, cable warning information representing the abnormal behavior risk of the object existing near the cable is generated.

[0084] The preset risk threshold can be set by the user as needed or can be an experience value.

[0085] If the abnormal behavior risk of the object existing near the cable represented by the cable abnormality detection information is not higher than the preset risk threshold, in a case where the object identity information matches the cable identifier of the target cable, the cable detection module is controlled to continuously detect the cable data of the target cable, and the method returns to the data acquisition step; in a case where the object identity information does not match the cable identifier of the target cable, cable warning information representing the abnormal behavior risk of the object existing near the cable is generated.

[0086] In this way, in a case where the object existing near the cable does not have an abnormal risk behavior, the cable data is continuously detected, and the method returns to the data acquisition step, realizing continuous monitoring of abnormal behavior.

[0087] Optionally, as an embodiment, if the object identity information represents that the object existing near the cable does not have an employee label, it is determined that the object identity information does not match the cable identifier of the target cable; if the employee identity or the employee work content represented by the object identity information does not match the cable identifier of the target cable, it is determined that the object identity information does not match the cable identifier of the target cable; if the employee identity and the employee work content represented by the object identity information both match the cable identifier of the target cable, it is determined that the object identity information matches the cable identifier of the target cable.

[0088] In this way, considering that different employees can correspond to different cable work permissions assigned, for example, employee A only has the work permission of cable A, when employee A is near cable B, there can be an abnormal behavior risk. Considering that the employees are assigned different work content permissions of the cable, for example, employee A only has the work permission of cable A, but does not have the permission to maintain cable A, when employee A maintains cable A, there can be an abnormal behavior risk. Therefore, the employee identity and the employee work content are used as the basis for judging whether the cable identifier matches the object identity information, considering the above different situations, the accuracy of identity detection is improved.

[0089] As an embodiment, the control module is further configured to:

[0090] The object identity information is determined as abnormal object identity information with abnormal behavior; and, based on the cable abnormality detection information, the abnormal behavior location information and abnormal behavior time information corresponding to the target cable are extracted; based on the abnormal object identity information, the abnormal behavior location information and the abnormal behavior time information, cable warning information is generated to indicate that there is a risk of abnormal behavior near the object.

[0091] In this way, the abnormal behavior location information and abnormal behavior time information are used as the basis for generating cable early warning information, so that the supervision module can identify abnormal behavior according to the cable early warning information.

[0092] In a detailed embodiment, referring to Figure 4 The target cable 20 includes an A-phase cable 21, a B-phase cable 22, a C-phase cable 23 and an N-phase cable 24. The current transformer 122 includes a first current transformer 1221, a second current transformer 1222, a third current transformer 1223 and a fourth current transformer 1224. The cable marker 30 includes a first cable marker 31, a second cable marker 32, a third cable marker 33 and a fourth cable marker 34. The control module 11 is respectively connected to the current transformer 122, the first tag identification module 121, the object detection module 13, the alarm module 14, the camera 15, the supervision module 16 and the power supply module 17.

[0093] Each module in the cable warning device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a memory in a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0094] In an exemplary embodiment, Figure 5 As shown, a cable early warning method is provided, which is applied to Figure 1 The control module 11 in FIG. 1 is taken as an example to illustrate the process, which includes the following steps 502 to 506. In which:

[0095] Step 502: Acquire at least one cable data of the target cable detected by the cable detection module, and perform abnormality detection on the target cable based on the at least one cable data to obtain cable abnormality detection information, wherein the cable data is used to characterize at least one of the electrical condition and cable identification of the target cable.

[0096] As an embodiment, the at least one cable data includes a plurality of cable electrical data and cable identification information; and the target cable is subjected to the abnormality detection according to the at least one cable data to obtain cable abnormality detection information, including: according to the plurality of cable electrical data, feature extraction is performed on waveform variation of the target cable to obtain cable waveform variation features; and according to the cable identification information, feature extraction is performed on identification variation of a cable identification configured on the target cable to obtain cable identification variation features; the target cable is subjected to cable identification abnormality detection according to the cable identification variation features to obtain identification abnormality detection information; and the target cable is subjected to cable waveform abnormality detection according to the cable waveform variation features to obtain waveform abnormality detection information; and the target cable is subjected to the abnormality detection according to the identification abnormality detection information and the waveform abnormality detection information to obtain the cable abnormality detection information.

[0097] Further, the cable identification information includes cable identification position information and cable identification recognition information; and the feature extraction is performed on the identification variation of the cable identification configured on the target cable according to the cable identification information to obtain the cable identification variation features, including: according to the cable identification position information, feature extraction is performed on position variation of the cable identification configured on the target cable to obtain identification position variation features; and according to the cable identification recognition information, feature extraction is performed on completeness variation of the cable identification configured on the target cable to obtain identification completeness variation features; and the identification position variation features and the identification completeness variation features are fused to obtain the cable identification variation features.

[0098] As an embodiment, the target cable is subjected to the cable waveform abnormality detection according to the cable waveform variation features to obtain the waveform abnormality detection information, including at least one of: if the cable waveform variation features represent that there is waveform interruption, cable disconnection information is determined as the waveform abnormality detection information; and if the cable waveform variation features represent that there is waveform distortion, bypass circuit addition information is determined as the waveform abnormality detection information.

[0099] Optionally, the method further includes: a first detection step of detecting a separation distance between the to-be-identified object and the target cable, and if the separation distance is less than a preset separation distance threshold, determining that the to-be-identified object is a close object; and if the separation distance is not less than the preset separation distance threshold, returning to execute the first detection step until the separation distance less than the preset separation distance threshold is detected.

[0100] Optionally, the method further includes: a second detection step of detecting a position range formed by the to-be-identified object and the target cable, and if the position range is within a preset position range, determining that the to-be-identified object is a close object; and if the position range is not within the preset position range, returning to execute the second detection step until the position range within the preset position range is detected.

[0101] The to-be-identified object is any object that can be detected in relation to the position of the target cable.

[0102] In step 504, when the cable anomaly detection information indicates that the object poses a risk of abnormal behavior, the object detection module obtains the object identity information of the object that is close to the target cable, wherein the position relationship between the object and the cable satisfies a preset position relationship condition.

[0103] In step 506, the cable warning information is generated according to the object identity information and the cable anomaly detection information, and when the cable warning information indicates that the object poses a risk of abnormal behavior, the cable is alarmed according to the cable warning information.

[0104] As an embodiment, the cable warning information is generated according to the object identity information and the cable anomaly detection information, including: if the abnormal behavior risk of the object indicated by the cable anomaly detection information is higher than a preset risk threshold, the cable warning information indicating that the object poses a risk of abnormal behavior is generated; if the abnormal behavior risk of the object indicated by the cable anomaly detection information is not higher than the preset risk threshold, the cable detection module is controlled to continuously detect the cable data of the target cable in the case that the object identity information matches the cable identifier of the target cable, and the data acquisition step is returned to; in the case that the object identity information does not match the cable identifier of the target cable, the cable warning information indicating that the object poses a risk of abnormal behavior is generated.

[0105] Optionally, the method further includes: when the cable warning information indicates that the object poses a risk of abnormal behavior, the object identity information is determined as abnormal object identity information that poses a risk of abnormal behavior; and according to the cable anomaly detection information, abnormal behavior position information and abnormal behavior time information corresponding to the target cable are extracted; according to the abnormal object identity information, the abnormal behavior position information and the abnormal behavior time information, the cable warning information indicating that the object poses a risk of abnormal behavior is generated.

[0106] In the cable early warning method, the cable data representing at least one of the electrical property of the target cable and the cable identifier is used to detect the abnormality of the target cable, and cable abnormality detection information is obtained. Therefore, when the cable abnormality detection information indicates that the approaching object has an abnormal behavior risk, the object identity information of the approaching object corresponding to the target cable detected by the object detection module is obtained, so that the identity of the approaching object near the target cable can be detected based on the object identity information, and then the cable early warning information is generated based on the object identity information and the cable abnormality detection information. When the cable early warning information indicates that the approaching object has an abnormal behavior risk, the cable warning is performed based on the cable early warning information. By evaluating the impact of the abnormal behavior on the target cable, the risk of theft of the target cable is detected, and the identity verification is used to exclude the normal maintenance or operation behavior of the target cable, so that the abnormal behavior of the approaching object can be monitored in time and the corresponding warning can be performed, and the cable early warning accuracy is improved.

[0107] In a detailed embodiment, the data acquisition step: acquiring at least one cable data of the target cable detected by the cable detection module, and performing abnormality detection on the target cable based on the at least one cable data to obtain cable abnormality detection information, wherein the cable data is used to represent at least one of the electrical property of the target cable and the cable identifier; when the cable abnormality detection information indicates that the approaching object does not have an abnormal behavior risk, the data acquisition step is returned to; when the cable abnormality detection information indicates that the approaching object has an abnormal behavior risk, the object identity information of the approaching object corresponding to the target cable detected by the object detection module is acquired, wherein the positional relationship between the approaching object and the cable satisfies a preset positional relationship condition; if the abnormal behavior risk of the approaching object represented by the cable abnormality detection information is higher than a preset risk threshold, cable early warning information representing that the approaching object has an abnormal behavior risk is generated; if the abnormal behavior risk of the approaching object represented by the cable abnormality detection information is not higher than the preset risk threshold, in the case that the object identity information matches the cable identifier of the target cable, the cable detection module is controlled to continuously detect the cable data of the target cable, and the data acquisition step is returned to; in the case that the object identity information does not match the cable identifier of the target cable, the cable early warning information representing that the approaching object has an abnormal behavior risk is generated; when the cable early warning information indicates that the approaching object does not have an abnormal behavior risk, the data acquisition step is returned to; when the cable early warning information indicates that the approaching object has an abnormal behavior risk, the cable warning is performed based on the cable early warning information, the object identity information is determined as abnormal object identity information having an abnormal behavior; and the abnormal behavior position information and the abnormal behavior time information corresponding to the target cable are extracted based on the cable abnormality detection information; the cable early warning information representing that the approaching object has an abnormal behavior risk is generated based on the abnormal object identity information, the abnormal behavior position information and the abnormal behavior time information.

[0108] In an example embodiment, a computer device, which can be a terminal, is provided, and an internal structure diagram of the computer device can be as shown in FIG. 1. Figure 6 The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for running the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to perform wired or wireless communication with external terminals. The wireless communication can be achieved through WIFI, mobile cellular network, Near Field Communication (NFC) or other technologies. The computer program is executed by the processor to implement a power grid system control method based on federated transfer learning. The display unit of the computer device is configured to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0109] Those skilled in the art can understand that the structure shown in FIG. 1 is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. Figure 6

[0110] In an example embodiment, a computer device is provided, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0111] In an embodiment, a computer readable storage medium is provided, which stores a computer program. The computer program is executed by a processor to implement the steps in the above method embodiments.

[0112] In an embodiment, a computer program product is provided, which includes a computer program. The computer program is executed by a processor to implement the steps in the above method embodiments. ​

[0113] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., without being limited thereto.

[0114] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0115] The above embodiments only express several implementation ways of the present application, and the description is specific and detailed, but it should not be understood as a limitation to the protection scope of the present application. It should be pointed out that, for ordinary skilled in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A cable early warning device, characterized in that: The cable early warning device includes: a control module, a cable detection module and an object detection module; The cable detection module is used to detect at least one cable data of the target cable, wherein the cable data is used to characterize at least one of the electrical condition and cable identification of the target cable; The object detection module is used to detect object identity information of a close object corresponding to the target cable, wherein the positional relationship between the close object and the cable satisfies a preset positional relationship condition; The control module is configured to execute a data acquisition step: acquiring at least one cable data detected by the cable detection module, and performing an abnormality detection on the target cable based on the at least one cable data to obtain cable abnormality detection information; The control module is further configured to obtain object identity information detected by the object detection module when the cable anomaly detection information indicates that the adjacent object has an abnormal behavior risk, and generate cable warning information based on the object identity information and the cable anomaly detection information; The control module is further configured to issue a cable alarm according to the cable warning information when the cable warning information indicates that there is a risk of abnormal behavior of the nearby object.

2. The device according to claim 1, characterized in that The at least one cable data includes a plurality of cable electrical data and cable identification information; the control module is further configured to: Extracting features of the waveform change of the target cable based on the plurality of cable electrical property data to obtain cable waveform change features; and extracting features of the identification change of the cable identification configured on the target cable based on the cable identification information to obtain cable identification change features; performing cable identification anomaly detection on the target cable according to the cable identification change characteristics to obtain identification anomaly detection information; and, performing cable waveform anomaly detection on the target cable according to the cable waveform change characteristics to obtain waveform anomaly detection information; According to the identification abnormality detection information and the waveform abnormality detection information, the target cable is detected for abnormality to obtain cable abnormality detection information.

3. The device according to claim 2, characterized in that The control module is further configured to: If the cable waveform change characteristic indicates that there is a waveform interruption, the cable disconnection information is determined as waveform anomaly detection information; If the cable waveform change characteristic indicates the presence of waveform distortion, the bypass circuit newly added information is determined as waveform anomaly detection information.

4. The device according to claim 2, characterized in that The cable identification information includes cable identification position information and cable identification information; the control module is further configured to: Extracting features of position changes of the cable markers configured on the target cable based on the cable marker position information to obtain marker position change features; Extracting features of the integrity change of the cable marker configured on the target cable according to the cable marker identification information to obtain marker integrity change features; The identification position change feature and the identification integrity change feature are fused to obtain the cable identification change feature.

5. The device according to claim 1, characterized in that The control module is further configured to: If the risk of abnormal behavior of the proximity object represented by the cable abnormality detection information is higher than a preset risk threshold, generating cable warning information representing the risk of abnormal behavior of the proximity object; If the risk of abnormal behavior of the proximity object represented by the cable anomaly detection information is not higher than a preset risk threshold, then, if the object identity information matches the cable identifier of the target cable, controlling the cable detection module to continuously detect the cable data of the target cable and returning to the data acquisition step; In the event that the object identity information does not match the cable representation of the target cable, cable warning information is generated indicating that there is a risk of abnormal behavior of the proximate object.

6. The device according to claim 5, characterized in that The control module is further configured to: Determining the object identity information as abnormal object identity information with abnormal behavior; and extracting abnormal behavior location information and abnormal behavior time information corresponding to the target cable based on the cable abnormality detection information; Cable warning information indicating that there is a risk of abnormal behavior near the object is generated based on the abnormal object identity information, the abnormal behavior location information, and the abnormal behavior time information.

7. A cable early warning method, characterized in that: A control module used in a cable anti-theft warning device, wherein the cable anti-theft warning device further includes a cable detection module and an object detection module; The cable early warning method comprises: A data acquisition step: acquiring at least one cable data of the target cable detected by the cable detection module, and performing an abnormality detection on the target cable based on the at least one cable data to obtain cable abnormality detection information, wherein the cable data is used to characterize at least one of the electrical condition and cable identification of the target cable; When the cable anomaly detection information indicates that there is a risk of abnormal behavior of a nearby object, obtaining object identity information of the nearby object corresponding to the target cable detected by the object detection module, wherein the positional relationship between the nearby object and the cable satisfies a preset positional relationship condition; Cable warning information is generated according to the object identity information and the cable abnormality detection information, and when the cable warning information indicates that there is a risk of abnormal behavior of the nearby object, a cable alarm is issued according to the cable warning information.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to claim 7 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to claim 7 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to claim 7 are implemented.

Images