Abnormality early warning system and method in cable production link based on parameter gradual change

Abstract

The embodiment of the invention discloses an abnormity early warning system and method in a cable production link based on parameter gradual change, and the method comprises the steps: obtaining a plurality of cable collection images and collection parameter data in a cable production process within a preset time, and determining image change data based on the cable collection images and the collection parameter data, acquiring parameter change data of the acquiring parameter data is determined, the image change data comprises first matching change data and first comparison change data, and the acquiring parameter change data comprises second matching change data and second comparison change data; and determining whether a first abnormal condition is satisfied based on the first matching change data and the second matching change data, determining whether a second abnormal condition is satisfied based on the first comparison change data and the second comparison change data, and performing early warning when the first abnormal condition and the second abnormal condition are satisfied. According to the scheme, cable abnormity judgment is carried out through the parameter change data, and early warning of poor production conditions can be carried out in advance, so that unnecessary loss is avoided.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of cable monitoring technology, and in particular to an abnormality warning system and method in a cable production process based on parameter gradient. Background Art

[0002] As a dielectric material, wires and cables play a key role in transmitting electric energy in the operation of the power system. The quality of wires and cables directly affects whether the power consumption is safe and stable. The quality of wires and cables currently available on the market is uneven and cannot guarantee to meet the operation requirements of the power system. At the same time, wires and cables have become indispensable products in the fields of national economy, construction, life, etc., and their scale occupies a large proportion in the power industry. Its extensiveness and necessity require that the detection of wires and cables must be strictly and accurately carried out.

[0003] The cable production process refers to the process of making finished cables from raw materials through a series of processing and treatment processes. In the cable production process, in order to achieve automated monitoring, monitoring equipment is usually used to collect information, and cable quality is monitored based on the collected information. However, most of the related cable production process quality monitoring technologies identify and alarm when cable production anomalies have occurred. There is a lack of a reasonable early warning mechanism, and it is impossible to avoid the occurrence of cable production anomalies in a timely manner, resulting in reduced cable production efficiency. Summary of the invention

[0004] The embodiments of the present invention provide an abnormal warning system and method in the cable production process based on parameter gradient, which solves the problem that the existing cable production process quality monitoring technology lacks a reasonable warning mechanism, cannot timely avoid the occurrence of abnormal phenomena in cable production, and leads to reduced cable production efficiency. It can provide early warning of poor production conditions to avoid unnecessary losses.

[0005] In a first aspect, an embodiment of the present invention provides an abnormal warning method in a cable production process based on parameter gradient, comprising:

[0006] Acquire multiple cable acquisition images and acquisition parameter data during the cable production process within a preset time;

[0007] Determine the image change data within the preset time based on the cable acquisition image and the acquisition parameter data, and determine the acquisition parameter change data of the acquisition parameter data within the preset time, the image change data includes first matching change data and first comparison change data, and the acquisition parameter change data includes second matching change data and second comparison change data;

[0008] Based on the first matching change data and the second matching change data, determine whether the first abnormal condition is met; based on the first comparison change data and the second comparison change data, determine whether the second abnormal condition is met; when the first abnormal condition and the second abnormal condition are met, issue a cable production abnormality warning.

[0009] Optionally, determining the image change data within the preset time based on the cable captured image and the captured parameter data includes:

[0010] Determine the execution production link based on the cable acquisition image and the acquisition parameter data, determine the identification parameters associated with the execution production link, and identify the cable acquisition image according to the identification parameters to obtain an identification parameter value set;

[0011] The image change data within the preset time is determined according to the recognition parameter value set, and the recognition parameter values ​​in the recognition parameter value set are arranged in chronological order.

[0012] Optionally, the acquisition parameter data includes an acquisition parameter type, and determining the execution of a production link based on the cable acquisition image and the acquisition parameter data includes:

[0013] Perform feature recognition on the cable acquisition image to obtain image features, match the image features and the acquisition parameter type with pre-stored link matching data, and determine the production link corresponding to the successfully matched pre-stored link matching data as the execution production link.

[0014] Optionally, determining the image change data within the preset time according to the recognition parameter value set includes:

[0015] Determine the recognition parameter change rate and the recognition parameter change trend of the recognition parameter according to the recognition parameter value set, and determine the recognition parameter change rate and the recognition parameter change trend as the image change data within the preset time, wherein the recognition parameter change trend is the first matching change data, and the recognition parameter change rate is the first comparison change data.

[0016] Optionally, the determining whether a first abnormal condition is met based on the first matching change data and the second matching change data includes:

[0017] The first matching change data and the second matching change data are matched, and if the match is successful, it is determined that the first abnormal condition is satisfied, and if the match is unsuccessful, it is determined that the first abnormal condition is not satisfied.

[0018] Optionally, the determining whether a second abnormal condition is met based on the first comparison change data and the second comparison change data includes:

[0019] Determine data types of the first comparison change data and the second comparison change data, determine comparison thresholds corresponding to the first comparison change data and the second comparison change data according to the data types, and determine whether a second abnormal condition is met based on the comparison thresholds.

[0020] Optionally, determining whether a second abnormal condition is met based on the comparison threshold includes:

[0021] Determine whether the first comparison change data and / or the second comparison change data is greater than a corresponding comparison threshold. If so, determine that a second abnormal condition is met; otherwise, determine that the second abnormal condition is not met.

[0022] In a second aspect, an embodiment of the present invention further provides an abnormal warning system in a cable production process based on parameter gradient, comprising:

[0023] An acquisition module, used to acquire multiple cable acquisition images and acquisition parameter data of the cable production process within a preset time;

[0024] a change data determination module, configured to determine image change data within the preset time based on the cable acquisition image and the acquisition parameter data, and determine acquisition parameter change data of the acquisition parameter data within the preset time, wherein the image change data includes first matching change data and first comparison change data, and the acquisition parameter change data includes second matching change data and second comparison change data;

[0025] a condition judgment module, configured to determine whether a first abnormal condition is satisfied based on the first matching change data and the second matching change data, and to determine whether a second abnormal condition is satisfied based on the first comparing change data and the second comparing change data;

[0026] The abnormal warning module is used to issue a cable production abnormal warning when the first abnormal condition and the second abnormal condition are met.

[0027] In a third aspect, an embodiment of the present invention further provides an abnormal warning device in a cable production process based on parameter gradient, the device comprising:

[0028] one or more processors;

[0029] a storage device for storing one or more programs,

[0030] When the one or more programs are executed by the one or more processors, the one or more processors implement the abnormality warning method in the cable production link based on parameter gradient as described in the embodiment of the present invention.

[0031] In a fourth aspect, an embodiment of the present invention further provides a storage medium storing computer executable instructions, which, when executed by a computer processor, are used to execute the abnormality warning method in the cable production link based on parameter gradient described in an embodiment of the present invention.

[0032] In an embodiment of the present invention, multiple cable acquisition images and acquisition parameter data of the cable production process within a preset time are obtained, image change data within a preset time is determined based on the cable acquisition images and acquisition parameter data, and acquisition parameter change data of the acquisition parameter data within the preset time is determined, the image change data includes first matching change data and first comparison change data, the acquisition parameter change data includes second matching change data and second comparison change data, based on the first matching change data and the second matching change data, it is determined whether the first abnormal condition is met, based on the first comparison change data and the second comparison change data, it is determined whether the second abnormal condition is met, and when the first abnormal condition and the second abnormal condition are met, an abnormal cable production warning is performed. This solution uses parameter change data to judge cable abnormalities, solves the problem that the existing cable production process quality monitoring technology lacks a reasonable early warning mechanism, cannot timely avoid the occurrence of abnormal cable production phenomena, and leads to reduced cable production efficiency, and can provide early warning of poor production conditions to avoid unnecessary losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A flowchart of an abnormality early warning method in a cable production link based on parameter gradient provided by an embodiment of the present invention;

[0034] Figure 2 A flowchart of a method for determining image change data based on cable acquisition images and acquisition parameter data provided by an embodiment of the present invention;

[0035] Figure 3 A flowchart of a method for determining whether first comparison change data and second comparison change data satisfy a second abnormal condition provided by an embodiment of the present invention;

[0036] Figure 4 A module structure block diagram of an abnormal warning system in a cable production link based on parameter gradient provided by an embodiment of the present invention;

[0037] Figure 5 A schematic structural diagram of an abnormal warning device in a cable production process based on parameter gradient provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the embodiments of the present invention, rather than to limit the embodiments of the present invention. It is also necessary to explain that, for ease of description, only parts related to the embodiments of the present invention are shown in the accompanying drawings, rather than all structures.

[0039] The terms "first", "second", etc. in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and or or" in the specification and claims represents at least one of the connected objects, and the character "or" generally indicates that the objects associated before and after are in an "or" relationship.

[0040] The abnormal warning method in the cable production link based on parameter gradient provided in the embodiment of the present application can be applied to the quality monitoring scenario in the cable production link. The abnormal warning method in the cable production link based on parameter gradient provided in the embodiment of the present application, the execution subject of each step can be a computer device, which refers to any electronic device with data calculation, processing and storage capabilities, such as mobile phones, PCs (Personal Computers), tablet computers and other terminal devices, and can also be servers and other devices, which are not limited in the embodiment of the present application.

[0041] Figure 1 A flowchart of an abnormal warning method in a cable production process based on parameter gradient is provided in an embodiment of the present invention, such as Figure 1 As shown, specifically including:

[0042] Step S101, acquiring a plurality of cable acquisition images and acquisition parameter data of a cable production process within a preset time.

[0043] Among them, the preset time is a pre-set duration, not a fixed value, and can be changed according to actual conditions; the cable acquisition image is used to characterize the cable image captured during the cable production process; the acquisition parameter data is used to characterize the parameter data collected by the currently turned on sensor within the preset time. Acquire multiple cable acquisition images and acquisition parameter data of the cable production process within the preset time. In one embodiment, the preset time is 30 minutes, the equipment working time interval is 5 minutes, the cable image shooting device captures a cable image every five minutes, and the sensor collects parameter values ​​every five minutes. Five cable acquisition images of the cable production process within 30 minutes are obtained, and the acquisition parameter data includes acquisition parameter values ​​at 6 time points. Acquiring multiple cable acquisition images and acquisition parameter data of the cable production process within the preset time can improve the dimension of the reference data and the accuracy of abnormal cable production warning.

[0044] Step S102: determining image change data within the preset time based on the cable captured image and the captured parameter data, wherein the image change data includes first matching change data and first comparison change data.

[0045] Among them, the image change data is used to characterize the change of the cable acquisition image within a preset time, the first matching change data is used to characterize the image change data for matching processing, and the first comparison data is used to characterize the image change data for comparison processing. After obtaining multiple cable acquisition images and acquisition parameter data of the cable production process within a preset time, the image change data within the preset time is determined based on the cable acquisition image and the acquisition parameter data, and the image change data includes the first matching change data and the first comparison change data. In one embodiment, the production link is determined based on the cable acquisition image and the acquisition parameter data, and the identification parameters associated with the production link are determined. The cable acquisition image is identified according to the identification parameters to obtain an identification parameter value set, and the image change data within the preset time is determined according to the identification parameter value set. The identification parameter values ​​in the identification parameter value set are arranged in chronological order. The current production link is determined by the cable image and the acquisition parameter data, and the identification parameters of the image are determined according to the production link and the change data is identified and calculated, so that the identification parameters of the cable acquisition image can be accurately determined, and the availability of the image change data is improved.

[0046] Step S103: determining acquisition parameter change data of the acquisition parameter data within the preset time, wherein the acquisition parameter change data includes second matching change data and second comparison change data.

[0047] Among them, the acquisition parameter change data is used to characterize the change of the acquisition parameter within the preset time, the second matching change data is used to characterize the acquisition parameter change data for matching processing, and the first comparison data is used to characterize the acquisition parameter change data for comparison processing. Determine the acquisition parameter change data of the acquisition parameter data within the preset time, and the acquisition parameter change data includes the second matching change data and the second comparison change data. In one embodiment, the preset time is 30 minutes, the acquisition parameter is the extruder temperature, and the extruder temperature values ​​are 150℃, 160℃, 175℃, 190℃, and 210℃, respectively. It is determined that the change trend of the extruder temperature is an upward trend, and the change rate is 2℃ / min. The upward trend is the second matching change data, and the change rate is the second comparison change data. In another embodiment, the preset time is 30 minutes, the acquisition parameter is the extruder temperature, and the extruder temperature values ​​are 150℃, 160℃, 175℃, 190℃, and 210℃, respectively. The change curve of the extruder temperature is determined, the change amount is 60℃, the change curve is the second matching change data, and the change amount is the second comparison change data.

[0048] Step S104: determining whether a first abnormal condition is satisfied based on the first matching change data and the second matching change data.

[0049] Wherein, after the image change data and the acquisition parameter change data are determined, it is determined whether the first abnormal condition is met based on the first matching change data in the image change data and the second matching change data in the acquisition parameter change data. Optionally, the first matching change data and the second matching change data are matched and processed. If the match is successful, it is determined that the first abnormal condition is met, and if the match is unsuccessful, it is determined that the first abnormal condition is not met. In one embodiment, the identification parameter of the image change data is determined to be the thickness of the insulating layer. If the extruder temperature is too high, the thickness of the insulating layer will be reduced. If the extruder temperature is too low, the thickness of the insulating layer will be increased. If the thickness of the insulating layer is too small or too large, both have adverse effects. The first matching change data is the trend of the thickness change of the insulating layer, which is a downward trend. The second matching change data is the trend of the temperature change of the extruder, which is an upward trend. The first abnormal condition is that the trend of the thickness change of the insulating layer is opposite to the trend of the temperature change of the extruder. Then the first matching change data and the second matching change data are matched successfully, and the first abnormal condition is met. In another embodiment, the first matching change data is the insulation layer thickness change curve, and the second matching change data is the extruder temperature change curve. The insulation layer thickness change curve and the extruder temperature change curve are matched in curve direction. When the matching result is that the curve directions are opposite, it is determined that the first abnormal condition is met.

[0050] Step S105: determining whether a second abnormal condition is satisfied based on the first comparison change data and the second comparison change data.

[0051] After the image change data and the acquisition parameter change data are determined, the judgment of the second abnormal condition is performed simultaneously with the judgment of the first abnormal condition, and whether the second abnormal condition is met is determined based on the first comparison change data in the image change data and the second comparison change data in the acquisition parameter change data. In one embodiment, the data types of the first comparison change data and the second comparison change data are determined, and the comparison thresholds corresponding to the first comparison change data and the second comparison change data are determined according to the data types, and whether the second abnormal condition is met is determined based on the comparison thresholds.

[0052] Step S106: When the first abnormal condition and the second abnormal condition are met, a cable production abnormality warning is issued.

[0053] Among them, after the judgment of the second abnormal condition and the judgment of the first abnormal condition are completed, when the first abnormal condition and the second abnormal condition are met, the cable production abnormality warning is performed, the abnormal judgment mechanism is more perfect, and the accuracy of the cable production abnormality warning is improved. In one embodiment, it is determined that the first matching change data and the second matching change data meet the first abnormal condition, and the first comparison change data and the second comparison change data meet the second abnormal condition, and the abnormal warning information of the cable production process is reported to the platform, so that the maintenance personnel can perform maintenance immediately, prevent the cable production failure in advance, and avoid major losses.

[0054] As can be seen from the above, multiple cable acquisition images and acquisition parameter data of the cable production process within a preset time are obtained, and image change data within the preset time is determined based on the cable acquisition images and acquisition parameter data, and acquisition parameter change data of the acquisition parameter data within the preset time is determined, the image change data includes first matching change data and first comparison change data, and the acquisition parameter change data includes second matching change data and second comparison change data. It is determined whether the first abnormal condition is met based on the first matching change data and the second matching change data, and whether the second abnormal condition is met based on the first comparison change data and the second comparison change data. When the first abnormal condition and the second abnormal condition are met, an abnormal cable production warning is performed. This solution uses parameter change data to judge cable abnormalities, which solves the problem that there is a lack of a reasonable early warning mechanism in the existing cable production process quality monitoring technology, and the abnormal phenomenon of cable production cannot be avoided in time, resulting in reduced cable production efficiency. It can provide early warning of poor production conditions to avoid unnecessary losses.

[0055] Figure 2 A flowchart of a method for determining image change data based on cable acquisition images and acquisition parameter data provided by an embodiment of the present invention, such as Figure 2 As shown, specifically including:

[0056] Step S201, acquiring a plurality of cable acquisition images and acquisition parameter data of a cable production process within a preset time.

[0057] Step S202: determine the execution of the production link based on the cable acquisition image and the acquisition parameter data, determine the identification parameters associated with the execution of the production link, identify the cable acquisition image according to the identification parameters to obtain an identification parameter value set, and determine the image change data within the preset time according to the identification parameter value set, the identification parameter values ​​in the identification parameter value set are arranged in chronological order, and the image change data includes first matching change data and first comparison change data.

[0058] Among them, the execution production link is used to characterize the current ongoing cable production link; the identification parameter is used to characterize the parameters that affect the performance of the cable under the execution production link. For example, the execution production link is the insulation layer link, and its associated identification parameter is the insulation layer thickness, which affects the insulation performance of the cable. The execution production link is determined based on the cable acquisition image and acquisition parameter data. Optionally, the acquisition parameter data includes the acquisition parameter type, and the cable acquisition image is feature recognized to obtain image features. The image features and the acquisition parameter type are matched with the pre-stored link matching data, and the production link corresponding to the successfully matched pre-stored link matching data is determined as the execution production link. Determine the identification parameters associated with the execution production link, identify the cable acquisition image according to the identification parameters to obtain an identification parameter value set, determine the image change data within a preset time according to the identification parameter value set, and optionally determine the identification parameter change rate and the identification parameter change trend of the identification parameter according to the identification parameter value set, and determine the identification parameter change rate and the identification parameter change trend as the image change data within a preset time, wherein the identification parameter change trend is the first matching change data, and the identification parameter change rate is the first comparison change data. In one embodiment, the acquisition parameter type is the extrusion temperature type, the cable acquisition image is identified to obtain the image feature of the insulation layer, the pre-stored conductor link matching data is the conductor and the twisting speed, the pre-stored insulation layer link matching data is the insulation layer and the extrusion temperature, the pre-stored sheath link matching data is the sheath and the extrusion temperature, the image feature and the acquisition parameter type successfully match the pre-stored insulation layer link matching data, the execution production link is the insulation layer link, and the associated identification parameter is the insulation layer thickness, then the insulation layer thickness in multiple cable acquisition images is identified and arranged in chronological order, the insulation layer thickness change rate and the insulation layer thickness change trend are determined, the insulation layer thickness change trend is the first matching change data, and the insulation layer thickness change rate is the first comparison change data. In another embodiment, the current time period is determined, the current time period is compared with the preset link time period comparison table to obtain the current execution production link, the identification parameter associated with the execution production link is determined, and multiple cable acquisition images are identified according to the identification parameter to obtain the identification parameter value, and the identification parameter change curve and the identification parameter change amount of the identification parameter are determined according to the identification parameter value, and the identification parameter change curve and the identification parameter change amount are determined as the image change data within the preset time.

[0059] Step S203: determining acquisition parameter change data of the acquisition parameter data within the preset time, wherein the acquisition parameter change data includes second matching change data and second comparison change data.

[0060] Step S204: determine whether a first abnormal condition is met based on the first matching change data and the second matching change data.

[0061] Step S205: Determine whether a second abnormal condition is met based on the first comparison change data and the second comparison change data.

[0062] Step S206: When the first abnormal condition and the second abnormal condition are met, a cable production abnormality warning is issued.

[0063] As can be seen from the above, the production link to be executed is determined based on the cable acquisition image and acquisition parameter data, the identification parameters associated with the production link are determined, the cable acquisition image is identified according to the identification parameters to obtain an identification parameter value set, and the image change data within a preset time is determined according to the identification parameter value set. The identification parameter values ​​in the identification parameter value set are arranged in chronological order, and the image change data includes first matching change data and first comparison change data. This solution determines the current production link through cable images and acquisition parameter data, determines the image recognition parameters according to the production link, and identifies and calculates the change data, which can accurately determine the recognition parameters of the cable acquisition image and improve the availability of the image change data.

[0064] Figure 3 A flowchart of a method for determining whether the first comparison change data and the second comparison change data meet the second abnormal condition provided by an embodiment of the present invention, such as Figure 3 As shown, specifically including:

[0065] Step S301, acquiring a plurality of cable acquisition images and acquisition parameter data of a cable production process within a preset time.

[0066] Step S302: determining image change data within the preset time based on the cable acquisition image and the acquisition parameter data, wherein the image change data includes first matching change data and first comparison change data.

[0067] Step S303: determining acquisition parameter change data of the acquisition parameter data within the preset time, wherein the acquisition parameter change data includes second matching change data and second comparison change data.

[0068] Step S304: determine whether a first abnormal condition is satisfied based on the first matching change data and the second matching change data.

[0069] Step S305: determine the data types of the first comparison change data and the second comparison change data, determine the comparison thresholds corresponding to the first comparison change data and the second comparison change data according to the data types, and determine whether the second abnormal condition is met based on the comparison thresholds.

[0070] Among them, the data types of the first comparison change data and the second comparison change data are determined, and the comparison thresholds corresponding to the first comparison change data and the second comparison change data are determined according to the data types. Based on the comparison thresholds corresponding to the first comparison change data and the second comparison change data, it is determined whether the second abnormal condition is met. Optionally, it is determined whether the first comparison change data and / or the second comparison change data are greater than the corresponding comparison thresholds. If they are greater than the corresponding comparison thresholds, it is determined that the second abnormal condition is met, otherwise, it is determined that the second abnormal condition is not met. In one embodiment, the first comparison change data is the insulation layer thickness change rate of 0.08mm / min, the second comparison change data is the extrusion temperature change rate of 1℃ / min, the comparison threshold corresponding to the insulation layer thickness change rate is 0.06mm / min, the comparison threshold corresponding to the extrusion temperature change rate is 2℃ / min, and the insulation layer thickness change rate is greater than the corresponding comparison threshold, that is, there is a comparison change data greater than the corresponding comparison threshold, and it is determined that the second abnormal condition is met. In another embodiment, the first comparison change data is the insulation layer thickness change of 0.3 mm, the second comparison change data is the extrusion temperature change of 60°C, the comparison threshold corresponding to the insulation layer thickness change is 0.02 mm, and the comparison threshold corresponding to the extrusion temperature change is 50°C. The insulation layer thickness change and the extrusion temperature change are both greater than the corresponding comparison thresholds, and it is determined that the second abnormal condition is met.

[0071] Step S306: When the first abnormal condition and the second abnormal condition are met, a cable production abnormality warning is issued.

[0072] As can be seen from the above, the data types of the first comparison change data and the second comparison change data are determined, and the comparison thresholds corresponding to the first comparison change data and the second comparison change data are determined according to the data types. Based on the comparison thresholds corresponding to the first comparison change data and the second comparison change data, it is determined whether the second abnormal condition is met. This solution determines whether the change data of the collected data meets the abnormal condition, and can detect cable production abnormalities in advance to avoid the occurrence of cable production failures.

[0073] Figure 4 This is a block diagram of the module structure of an abnormal warning system in the cable production link based on parameter gradient provided by an embodiment of the present invention. The system is used to execute the abnormal warning method in the cable production link based on parameter gradient provided by the above embodiment, and has the corresponding functional modules and beneficial effects of the execution method. Figure 4 As shown, the system specifically includes:

[0074] An acquisition module 101 is used to acquire multiple cable acquisition images and acquisition parameter data of the cable production process within a preset time;

[0075] The change data determination module 102 is used to determine the image change data within the preset time based on the cable acquisition image and the acquisition parameter data, and determine the acquisition parameter change data of the acquisition parameter data within the preset time, the image change data includes first matching change data and first comparison change data, and the acquisition parameter change data includes second matching change data and second comparison change data;

[0076] A condition judgment module 103, configured to determine whether a first abnormal condition is satisfied based on the first matching change data and the second matching change data, and to determine whether a second abnormal condition is satisfied based on the first comparing change data and the second comparing change data;

[0077] The abnormal warning module 104 is used to issue a cable production abnormal warning when the first abnormal condition and the second abnormal condition are met.

[0078] It can be seen from the above scheme that multiple cable acquisition images and acquisition parameter data of the cable production process within a preset time are obtained, and the image change data within the preset time is determined based on the cable acquisition images and the acquisition parameter data, and the acquisition parameter change data of the acquisition parameter data within the preset time is determined, the image change data includes the first matching change data and the first comparison change data, and the acquisition parameter change data includes the second matching change data and the second comparison change data. It is determined whether the first abnormal condition is met based on the first matching change data and the second matching change data, and whether the second abnormal condition is met based on the first comparison change data and the second comparison change data. When the first abnormal condition and the second abnormal condition are met, an abnormal cable production warning is performed. This scheme judges cable abnormalities through parameter change data, solves the problem that there is a lack of a reasonable early warning mechanism in the existing cable production process quality monitoring technology, and the abnormal phenomenon of cable production cannot be avoided in time, resulting in reduced cable production efficiency. It can provide early warning of poor production conditions to avoid unnecessary losses.

[0079] In a possible embodiment, the change data determination module 102 is specifically configured to:

[0080] Determine the execution production link based on the cable acquisition image and the acquisition parameter data, determine the identification parameters associated with the execution production link, and identify the cable acquisition image according to the identification parameters to obtain an identification parameter value set;

[0081] The image change data within the preset time is determined according to the recognition parameter value set, and the recognition parameter values ​​in the recognition parameter value set are arranged in chronological order.

[0082] In a possible embodiment, the change data determination module 102 is further configured to:

[0083] Perform feature recognition on the cable acquisition image to obtain image features, match the image features and the acquisition parameter type with pre-stored link matching data, and determine the production link corresponding to the successfully matched pre-stored link matching data as the execution production link.

[0084] In a possible embodiment, the change data determination module 102 is further configured to:

[0085] Determine the recognition parameter change rate and the recognition parameter change trend of the recognition parameter according to the recognition parameter value set, and determine the recognition parameter change rate and the recognition parameter change trend as the image change data within the preset time, wherein the recognition parameter change trend is the first matching change data, and the recognition parameter change rate is the first comparison change data.

[0086] In a possible embodiment, the condition determination module 103 is specifically configured to:

[0087] The first matching change data and the second matching change data are matched, and if the match is successful, it is determined that the first abnormal condition is satisfied, and if the match is unsuccessful, it is determined that the first abnormal condition is not satisfied.

[0088] In a possible embodiment, the condition determination module 103 is further configured to:

[0089] Determine data types of the first comparison change data and the second comparison change data, determine comparison thresholds corresponding to the first comparison change data and the second comparison change data according to the data types, and determine whether a second abnormal condition is met based on the comparison thresholds.

[0090] In a possible embodiment, the condition determination module 103 is further configured to:

[0091] Determine whether the first comparison change data and / or the second comparison change data is greater than a corresponding comparison threshold. If so, determine that a second abnormal condition is met; otherwise, determine that the second abnormal condition is not met.

[0092] Figure 5 A schematic diagram of the structure of an abnormal warning device in a cable production process based on parameter gradient provided by an embodiment of the present invention, such as Figure 5 As shown, the device includes a processor 201, a memory 202, an input device 203 and an output device 204; the number of processors 201 in the device can be one or more. Figure 5A processor 201 is taken as an example; the processor 201, memory 202, input device 203 and output device 204 in the device can be connected by a bus or other means. Figure 5 In the example, the bus connection is used. The memory 202, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as program instructions or modules corresponding to the abnormal warning method in the cable production link based on parameter gradient in the embodiment of the present invention. The processor 201 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 202, that is, realizes the above-mentioned abnormal warning method in the cable production link based on parameter gradient. The input device 203 can be used to receive input digital or character information, and generate key signal input related to user settings and function control of the device. The output device 204 may include a display device such as a display screen.

[0093] The embodiment of the present invention further provides a storage medium containing computer executable instructions, wherein the computer executable instructions are used to execute an abnormality early warning method in a cable production link based on parameter gradient when executed by a computer processor, the method comprising:

[0094] Acquire multiple cable acquisition images and acquisition parameter data during the cable production process within a preset time;

[0095] Determine the image change data within the preset time based on the cable acquisition image and the acquisition parameter data, and determine the acquisition parameter change data of the acquisition parameter data within the preset time, the image change data includes first matching change data and first comparison change data, and the acquisition parameter change data includes second matching change data and second comparison change data;

[0096] Based on the first matching change data and the second matching change data, determine whether the first abnormal condition is met; based on the first comparison change data and the second comparison change data, determine whether the second abnormal condition is met; when the first abnormal condition and the second abnormal condition are met, issue a cable production abnormality warning.

[0097] It is worth noting that in the above-mentioned embodiment of the abnormal warning method system in the cable production link based on parameter gradient, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the embodiments of the present invention.

[0098] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the embodiments of the present invention are not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention are described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.

Claims

1. The abnormal warning method in the cable production process based on parameter gradient is characterized by: include: Acquire multiple cable acquisition images and acquisition parameter data during the cable production process within a preset time; Determine the image change data within the preset time based on the cable acquisition image and the acquisition parameter data, and determine the acquisition parameter change data of the acquisition parameter data within the preset time, the image change data includes first matching change data and first comparison change data, and the acquisition parameter change data includes second matching change data and second comparison change data; Based on the first matching change data and the second matching change data, determine whether the first abnormal condition is met; based on the first comparison change data and the second comparison change data, determine whether the second abnormal condition is met; when the first abnormal condition and the second abnormal condition are met, issue a cable production abnormality warning.

2. The abnormal warning method in the cable production process based on parameter gradient according to claim 1 is characterized in that: The determining of the image change data within the preset time based on the cable acquisition image and the acquisition parameter data includes: Determine the execution production link based on the cable acquisition image and the acquisition parameter data, determine the identification parameters associated with the execution production link, and identify the cable acquisition image according to the identification parameters to obtain an identification parameter value set; The image change data within the preset time is determined according to the recognition parameter value set, and the recognition parameter values ​​in the recognition parameter value set are arranged in chronological order.

3. The abnormal warning method in the cable production process based on parameter gradient according to claim 2 is characterized in that: The acquisition parameter data includes an acquisition parameter type, and the step of determining the execution of a production link based on the cable acquisition image and the acquisition parameter data includes: Perform feature recognition on the cable acquisition image to obtain image features, match the image features and the acquisition parameter type with pre-stored link matching data, and determine the production link corresponding to the successfully matched pre-stored link matching data as the execution production link.

4. The abnormal warning method in the cable production process based on parameter gradient according to claim 2 is characterized in that: The determining the image change data within the preset time according to the recognition parameter value set includes: Determine the recognition parameter change rate and the recognition parameter change trend of the recognition parameter according to the recognition parameter value set, and determine the recognition parameter change rate and the recognition parameter change trend as the image change data within the preset time, wherein the recognition parameter change trend is the first matching change data, and the recognition parameter change rate is the first comparison change data.

5. The abnormal warning method in the cable production process based on parameter gradient according to any one of claims 1 to 4, characterized in that: The determining whether a first abnormal condition is satisfied based on the first matching change data and the second matching change data includes: The first matching change data and the second matching change data are matched, and if the match is successful, it is determined that the first abnormal condition is satisfied, and if the match is unsuccessful, it is determined that the first abnormal condition is not satisfied.

6. The abnormal warning method in the cable production process based on parameter gradient according to any one of claims 1 to 5, characterized in that: The determining whether a second abnormal condition is met based on the first comparison change data and the second comparison change data includes: Determine data types of the first comparison change data and the second comparison change data, determine comparison thresholds corresponding to the first comparison change data and the second comparison change data according to the data types, and determine whether a second abnormal condition is met based on the comparison thresholds.

7. The abnormal warning method in the cable production process based on parameter gradient according to claim 6 is characterized in that: The determining whether the second abnormal condition is met based on the comparison threshold comprises: Determine whether the first comparison change data and / or the second comparison change data is greater than a corresponding comparison threshold. If so, determine that a second abnormal condition is met; otherwise, determine that the second abnormal condition is not met.

8. The abnormal warning system in the cable production process based on parameter gradient is characterized by: include: An acquisition module, used to acquire multiple cable acquisition images and acquisition parameter data of the cable production process within a preset time; a change data determination module, configured to determine image change data within the preset time based on the cable acquisition image and the acquisition parameter data, and determine acquisition parameter change data of the acquisition parameter data within the preset time, wherein the image change data includes first matching change data and first comparison change data, and the acquisition parameter change data includes second matching change data and second comparison change data; a condition judgment module, configured to determine whether a first abnormal condition is satisfied based on the first matching change data and the second matching change data, and to determine whether a second abnormal condition is satisfied based on the first comparing change data and the second comparing change data; The abnormal warning module is used to issue a cable production abnormal warning when the first abnormal condition and the second abnormal condition are met.

9. An abnormal warning device in the cable production process based on parameter gradient, the device comprising: one or more processors; A storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the abnormal warning method in the cable production link based on parameter gradient as described in any one of claims 1-7.

10. A storage medium storing computer executable instructions, wherein the computer executable instructions, when executed by a computer processor, are used to execute the abnormality early warning method in the cable production link based on parameter gradient as described in any one of claims 1 to 7.

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