Meter weight data management method of cable and related device thereof

Through the RFID identification and data acquisition device, the data weight data and work order information of the cable are automatically corresponded to, which solves the problem of data non-correspondence caused by traditional manual recording, and realizes the accuracy and traceability of the cable production process.

CN119204791APending Publication Date: 2024-12-27JIANGSU ZHONGTIAN TECH CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411231756.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-03
Publication Date
2024-12-27

AI Technical Summary

Technical Problem

In the production process of wire and cables, the traditional rice-weight data management method relies on manual recording, which easily leads to the rice-weight data not corresponding to the work order information, making it difficult to trace and control the cable quality.

Method used

The RF mark is used to correspond to the cable, and the data is collected through the induction device, the meter weight measurement device and the wire diameter measurement device, and stored it in the database. The work order data table and the meter weight data table are automatically updated to realize the meter weight data and Automatic correspondence of work order information.

Benefits of technology

It reduces manual errors, improves cable production quality, can monitor and trace the production process of cables in real time, and ensures data accuracy and consistency.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119204791A_ABST
    Figure CN119204791A_ABST
Patent Text Reader

Abstract

The invention relates to a cable meter weight data management method and a related device thereof. The method comprises the following steps: acquiring sensing data acquired by each sensing device, meter weight data acquired by a meter weight measuring device and wire diameter data acquired by a wire diameter measuring device; obtaining a process identifier corresponding to the induction device identifier from a preset equipment process table; storing the sensing data, the meter weight data, the wire diameter data and a process identifier corresponding to the sensing device identifier into a database; updating the process starting time and the process ending time of the cable in the work order data table according to the induction data table; and updating the volume increment of the cable per unit length in the meter weight data table according to the work order data table and the cable diameter data table. According to the scheme provided by the invention, the radio frequency identification corresponds to the cable, so that the data of the cable automatically corresponds to the work order information, the manual error is reduced, the production process of the cable can be traced, and the production quality of the cable is improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present application relates to the field of communication network technology, and in particular to a method for managing cable weight data and a related device thereof. Background Art

[0002] In the wire and cable industry, weight per meter (the weight of a wire or cable per unit length (usually 1 meter)) is one of the important parameters for evaluating product quality. Production personnel need to record the cable weight per meter and other data in real time during the cable production process so that the cable weight per meter can correspond to the work order information.

[0003] In the process of producing wires and cables, the data management method of traditional meter weight control equipment mostly adopts manual recording. Manual recording can easily lead to the mismatch between the meter weight data of the cable and the work order information, resulting in errors. If the meter weight data of the cable does not correspond to the work order information, the cable cannot be traced during the production process, making it difficult to control the quality of the cable. Summary of the invention

[0004] In order to solve or partially solve the problems existing in the related technology, the present application provides a cable weight data management method and related devices, which can correspond to the cable through radio frequency identification, so that the cable weight data and work order information are automatically matched, reducing human errors, and can trace the cable production process to improve the cable production quality.

[0005] The first aspect of the present application provides a method for managing the weight-per-meter data of a cable, comprising obtaining the sensing data collected by each sensing device, the weight-per-meter data collected by the weight-per-meter measuring device, and the wire diameter data collected by the wire diameter measuring device, wherein the sensing data comprises: a sensing device identifier, a radio frequency tag identifier on the cable, and a sensing data collection time, the weight-per-meter data comprises: a weight-per-meter measuring device identifier, the weight-per-meter of the cable, and a weight-per-meter collection time, and the wire diameter data comprises: a wire diameter measuring device identifier, the wire diameter of the cable, and a wire diameter collection time; obtaining a process identifier corresponding to the sensing device identifier from a preset equipment process table, wherein the sensing device identifier and the process identifier are stored in the equipment process table. The mapping relationship between the sequence identifiers; the sensing data, the meter weight data, the wire diameter data and the process identifier corresponding to the sensing device identifier are stored in a database, the sensing data table in the database is used to store the sensing data and the process identifier, the meter weight data table in the database is used to store the meter weight data and the process identifier, and the wire diameter data table in the database is used to store the wire diameter data and the process identifier; the process start time and process end time of the cable in the work order data table are updated according to the sensing data table; the volume increment of the cable per unit length in the meter weight data table is updated according to the work order data table and the wire diameter data table.

[0006] In combination with the first aspect, in a possible implementation of the first aspect, updating the process start time and process end time of the cable in the work order data table according to the sensing data table includes: reading target work order data from the work order data table, the target work order data including: target process identifier, target cable number, target process start time and target process end time, the target process start time and / or the target process end time are empty; for any of the target work order data, obtaining multiple target sensing data corresponding to the target work order data from the sensing data table; determining the real start time and real end time corresponding to the target work order data according to the sensing data collection time in the multiple target sensing data; updating the target process start time in the work order data table to the real start time, and updating the target process end time in the work order data table to the real end time.

[0007] In combination with the first aspect, in a possible implementation manner of the first aspect, determining the real start time and the real end time corresponding to the target work order data according to the sensing data collection time in the multiple target sensing data includes: determining the target sensing device identifiers in the multiple target sensing data and the target radio frequency tag identifier corresponding to each of the target sensing device identifiers; if there are two target sensing device identifiers, and the target sensing data corresponding to each of the target sensing device identifiers includes one target radio frequency tag identifier, and the two sensing data collection times in the target sensing data corresponding to one of the target sensing device identifiers are less than the two sensing data collection times in the target sensing data corresponding to another target sensing device identifier, then taking the minimum sensing data collection time in the multiple target sensing data as the real start time, and taking the maximum sensing data collection time in the multiple target sensing data as the real end time.

[0008] In combination with the first aspect, in a possible implementation method of the first aspect, updating the volume increment of the cable per unit length in the meter weight data table according to the work order data table and the wire diameter data table includes: associating the work order data table, the meter weight data table and the wire diameter data table according to a first association condition to obtain a first association table, and the first association condition is: the process identifier in the wire diameter data table is consistent with the process identifier in the work order data table, and the wire diameter collection time of the wire diameter data table is between the process start time and the process end time in the work order data table, and the process identifier in the meter weight data table is consistent with the process identifier in the work order data table. , and the meter weight collection time of the meter weight data table is between the process start time and the process end time in the work order data table; for any meter weight data in the meter weight data table, according to the process identifier corresponding to any meter weight data, obtain the first wire diameter and the second wire diameter corresponding to any meter weight data from the first association table, and determine the volume increment of the cable per unit length according to the first wire diameter and the second wire diameter, and obtain the volume increment corresponding to any meter weight data to update it into the meter weight data table, the first wire diameter is the wire diameter of the process identifier corresponding to any meter weight data, and the second wire diameter is the wire diameter of the previous process identifier corresponding to the meter weight data.

[0009] In combination with the first aspect, in a possible implementation of the first aspect, a query request is obtained, wherein the query request carries: a query cable number; the work order data and the meter weight data table are associated according to a second association condition to obtain a second association table, wherein the second association condition is: the process identifier in the meter weight data table is consistent with the process identifier in the work order data table, and the meter weight collection time of the meter weight data table is between the process start time and the process end time in the work order data table; the meter weight data and / or volume increment corresponding to the queried cable number in each process are obtained from the second association table.

[0010] In combination with the first aspect, in a possible implementation of the first aspect, based on the meter weight data and / or volume increment of the cable in each process, the time change trend of the meter weight data, and / or the time change trend of the volume increment, and / or the density change trend of each cable is determined, and the density is the ratio of the meter weight data to the volume increment; based on the meter weight data and / or volume increment of the cable in each process, the change trend of the average meter weight data of different processes is determined.

[0011] The second aspect of the present application provides a cable weight-per-meter data management device, comprising a first acquisition module, for acquiring sensing data collected by each sensing device, weight-per-meter data collected by the weight-per-meter measuring device, and wire diameter data collected by the wire diameter measuring device, wherein the sensing data comprises: a sensing device identifier, a radio frequency tag identifier on the cable, and a sensing data acquisition time, the weight-per-meter data comprises: a weight-per-meter measuring device identifier, a cable weight-per-meter, and a weight-per-meter acquisition time, and the wire diameter data comprises: a wire diameter measuring device identifier, a cable diameter, and a wire diameter acquisition time; and a second acquisition module, for acquiring a process identifier corresponding to the sensing device identifier from a preset equipment process table, wherein the sensing device identifier and process identifier are stored in the equipment process table. a mapping relationship between the identifications; a storage module, used to store the sensing data, the weight-per-meter data, the wire diameter data and the process identification corresponding to the sensing device identification in a database, the sensing data table in the database being used to store the sensing data and the process identification, the weight-per-meter data table in the database being used to store the weight-per-meter data and the process identification, and the wire diameter data table in the database being used to store the wire diameter data and the process identification; an updating module, used to update the process start time and process end time of the cable in the work order data table according to the sensing data table; a processing module, used to update the volume increment of the cable per unit length in the weight-per-meter data table according to the work order data table and the wire diameter data table.

[0012] In combination with the second aspect, in a possible implementation of the second aspect, the update module is also used to read target work order data from the work order data table, the target work order data including: target process identifier, target cable number, target process start time and target process end time, the target process start time and / or the target process end time is empty; for any of the target work order data, obtain multiple target sensing data corresponding to the target work order data from the sensing data table; determine the real start time and real end time corresponding to the target work order data according to the sensing data collection time in the multiple target sensing data; update the target process start time in the work order data table to the real start time, and update the target process end time in the work order data table to the real end time.

[0013] In combination with the second aspect, in a possible implementation manner of the second aspect, the update module is further used to determine a target sensing device identifier in a plurality of the target sensing data and a target radio frequency tag identifier corresponding to each of the target sensing device identifiers; if there are two target sensing device identifiers, and the target sensing data corresponding to each of the target sensing device identifiers includes one of the target radio frequency tag identifiers, and the two sensing data collection times in the target sensing data corresponding to one of the target sensing device identifiers are less than the two sensing data collection times in the target sensing data corresponding to another of the target sensing device identifiers, then the minimum sensing data collection time in the plurality of target sensing data is used as the true start time, and the maximum sensing data collection time in the plurality of target sensing data is used as the true end time.

[0014] In combination with the second aspect, in a possible implementation method of the second aspect, the processing module is also used to associate the work order data table, the meter weight data table and the wire diameter data table according to a first association condition to obtain a first association table, and the first association condition is: the process identifier in the wire diameter data table is consistent with the process identifier in the work order data table, and the wire diameter collection time of the wire diameter data table is between the process start time and the process end time in the work order data table, and the process identifier in the meter weight data table is consistent with the process identifier in the work order data table, and the meter weight collection time of the meter weight data table is between Between the process start time and the process end time in the work order data table; for any meter weight data in the meter weight data table, according to the process identifier corresponding to any meter weight data, obtain the first wire diameter and the second wire diameter corresponding to any meter weight data from the first association table, and determine the volume increment of the cable per unit length according to the first wire diameter and the second wire diameter, and obtain the volume increment corresponding to any meter weight data to update it to the meter weight data table, the first wire diameter is the wire diameter of the process identifier corresponding to any meter weight data, and the second wire diameter is the wire diameter of the previous process identifier corresponding to the meter weight data.

[0015] In combination with the second aspect, in a possible implementation of the second aspect, the processing module is also used to obtain a query request, which carries: a query cable number; the work order data and the meter weight data table are associated according to a second association condition to obtain a second association table, and the second association condition is: the process identifier in the meter weight data table is consistent with the process identifier in the work order data table, and the meter weight collection time of the meter weight data table is between the process start time and the process end time in the work order data table; the meter weight data and / or volume increment corresponding to the queried cable number in each process are obtained from the second association table.

[0016] In combination with the second aspect, in a possible implementation of the second aspect, the processing module is also used to determine the time change trend of the meter weight data of each cable, and / or the time change trend of the volume increment, and / or the density change trend according to the meter weight data and / or volume increment of the cable in each process, wherein the density is the ratio of the meter weight data to the volume increment; determine the change trend of the average meter weight data of different processes according to the meter weight data and / or volume increment of the cable in each process.

[0017] The third aspect of the present application provides a cable weight-per-meter data management system, comprising: a weight-per-meter measuring device, a wire diameter measuring device, a wire pay-off machine, and a wire take-up machine, wherein the wire pay-off machine and the wire pay-off machine are both provided with sensing devices, and the cable process is carried out between the wire pay-off machine and the wire take-up machine; the weight-per-meter measuring device and the wire diameter measuring device are both provided between the wire pay-off machine and the wire take-up machine; the weight-per-meter measuring device is used to measure the weight-per-meter data of the cable during the cable process, and the weight-per-meter data includes: a weight-per-meter measuring device identifier, a cable weight-per-meter, and a weight-per-meter collection time; the wire diameter measuring device is used to measure the wire diameter data of the cable during the cable process, and the wire diameter data includes: a wire diameter measuring device identifier and a cable diameter; the wire pay-off machine is used to gradually transmit the cable to the wire take-up machine during the cable process; the sensing device is used to collect sensing data from radio frequency tags respectively provided at both ends of the cable during the cable process, and the sensing data includes: a sensing device identifier, a radio frequency tag identifier on the cable, and a sensing data collection time.

[0018] A fourth aspect of the present application provides an electronic device, including:

[0019] Processor; and

[0020] The memory stores executable codes thereon, and when the executable codes are executed by the processor, the processor is caused to execute the method as described above.

[0021] A fifth aspect of the present application provides a computer-readable storage medium having executable code stored thereon. When the executable code is executed by a processor of an electronic device, the processor is caused to execute the method as described above.

[0022] A sixth aspect of the present application provides a computer program product, including a computer program / instruction, which implements the method described above when executed by a processor.

[0023] The technical solution provided by this application may have the following beneficial effects:

[0024] The cable weight-per-meter data management method of the present application comprises acquiring sensing data collected by each sensing device, weight-per-meter data collected by a weight-per-meter measuring device, and wire diameter data collected by a wire diameter measuring device, wherein the sensing data comprises: a sensing device identifier, a radio frequency tag identifier on the cable, and a sensing data collection time, the weight-per-meter data comprises: a weight-per-meter measuring device identifier, a cable weight-per-meter, and a weight-per-meter collection time, and the wire diameter data comprises: a wire diameter measuring device identifier, a cable diameter, and a wire diameter collection time; acquiring a process identifier corresponding to the sensing device identifier from a preset equipment process table, wherein the equipment process table stores a mapping relationship between the sensing device identifier and the process identifier; and mapping the sensing data, weight-per-meter data, wire diameter data, and sensing device identifiers to obtain a process identifier corresponding to the sensing device identifier. The process identification corresponding to the device identification should be stored in the database. The induction data table in the database is used to store the induction data and process identification. The meter weight data table in the database is used to store the meter weight data and process identification. The wire diameter data table in the database is used to store the wire diameter data and process identification. The process start time and process end time of the cable in the work order data table are updated according to the induction data table. The volume increment of the unit length of cable in the meter weight data table is updated according to the work order data table and the wire diameter data table. The radio frequency identification can be used to correspond to the cable, so that the meter weight data of the cable and the work order information are automatically corresponded, which reduces manual errors, and can trace the production process of the cable to improve the production quality of the cable.

[0025] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and other objects, features and advantages of the present application will become more apparent by describing in more detail exemplary embodiments of the present application in conjunction with the accompanying drawings, wherein the same reference numerals generally represent the same components in the exemplary embodiments of the present application.

[0027] Figure 1 It is a flow chart of a method for managing cable weight data in meters according to an embodiment of the present application;

[0028] Figure 2 It is a structural schematic diagram of a cable weight data management device shown in an embodiment of the present application;

[0029] Figure 3 is a schematic diagram of the structure of an electronic device shown in an embodiment of the present application;

[0030] Figure 4 is a schematic diagram of a density variation trend of cables shown in an embodiment of the present application;

[0031] Figure 5 It is a structural diagram of the cable weight data management system shown in an embodiment of the present application. DETAILED DESCRIPTION

[0032] The embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to make the present application more thorough and complete, and to fully convey the scope of the present application to those skilled in the art.

[0033] The terms used in this application are only for the purpose of describing specific embodiments and are not intended to limit this application. The singular forms of "a", "a", "an" and "the" used in this application and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in this article refers to and includes any or all possible combinations of one or more associated listed items.

[0034] It should be understood that although the terms "first", "second", "third", etc. may be used in this application to describe various information, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0035] In the related technology, in the wire and cable industry, with the continuous expansion of production scale, the amount of meter weight data has also increased dramatically. The traditional meter weight data management method mostly adopts manual recording. The manual recording method is not only inefficient, but also prone to errors, such as recording errors and omissions, resulting in inaccurate meter weight data. The manual recording method is difficult to meet actual needs and will affect the control and management of the production process; secondly, the existing production line management system often cannot realize the automatic correspondence between meter weight data and work order information, resulting in difficulties in information traceability during the production process. Once there is a problem with product quality, it is difficult to quickly locate the specific production batch and process link, which brings great challenges to quality control and problem solving, and due to the lack of real-time data collection and transmission mechanism, the changes in meter weight data during the production process cannot be reflected in real time. This makes it difficult for production managers to grasp the production progress and product quality in real time, affecting the timeliness and accuracy of production decisions.

[0036] In response to the above problems, an embodiment of the present application provides a method for managing cable weight data by meter, which can match the cable with the radio frequency identification, so that the cable weight data by meter and the work order information are automatically matched, thereby reducing human errors, and can trace the cable production process to improve the cable production quality.

[0037] RFID (Radio Frequency Identification) is a communication technology that can identify specific targets and read and write related data through radio signals without establishing mechanical or optical contact between the identification system and the specific target. RFID technology is widely used in asset management, warehousing and logistics, service trade and retail, medical care, tobacco and alcohol, and other industries. The radio frequency tag identification, sensor device identification, wire diameter measurement device identification, and meter weight measurement device identification on the cable can all be RFID identification.

[0038] The technical solution of the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0039] Figure 1 It is a flow chart of the method for managing cable weight data in meters shown in an embodiment of the present application.

[0040] See also Figure 1 , a cable weight data management method, comprising:

[0041] S110: Acquire the sensing data collected by each sensing device, the weight per meter data collected by the weight per meter measuring device, and the wire diameter data collected by the wire diameter measuring device. The sensing data includes: the sensing device identification, the radio frequency tag identification on the cable, and the sensing data collection time. The weight per meter data includes: the weight per meter measuring device identification, the weight per meter of the cable, and the weight per meter collection time. The wire diameter data includes: the wire diameter measuring device identification, the wire diameter of the cable, and the wire diameter collection time.

[0042] Specifically, the sensing device is provided with a sensing device identification, and each cable is provided with a radio frequency tag identification. During the production process, the cables can pass through the sensing device, the meter weight measuring device, and the wire diameter measuring device in turn. The meter weight measuring device can detect the meter weight of the cable in real time and record the meter weight collection time. The meter weight measuring device identification on the meter weight measuring device corresponds to the meter weight measuring device. The wire diameter measuring device can measure the wire diameter of the cable in real time and record the wire diameter collection time. The wire diameter measuring device identification on the wire diameter measuring device corresponds to the wire diameter measuring device. It can be understood that the appropriate sensing device identification, wire diameter measuring device identification, and meter weight measuring device identification can be selected according to different production environments, such as high temperature, high pressure, wading and other environmental requirements.

[0043] Specifically, the wire diameter measuring instrument can collect the diameter data of the cable in real time, calculate the required amount of raw materials based on the diameter data, and compare it with the meter weight data of the cable detected by the meter weight measuring device; the meter weight measuring device can collect the amount data of raw materials required to manufacture each meter of cable.

[0044] Specifically, RFID (Radio Frequency Identification) technology is a communication technology that can identify specific targets and read and write related data through radio signals without establishing mechanical or optical contact between the identification system and the specific target. RFID technology is widely used in various industries such as asset management, warehousing and logistics, service trade and retail, medical care, tobacco and alcohol. The radio frequency tag identification, sensor device identification, meter weight measurement device identification and wire diameter measurement device identification on the cable can all be RFID identification.

[0045] S120: Obtain a process identifier corresponding to the sensing device identifier from a preset equipment process table, wherein the equipment process table stores a mapping relationship between the sensing device identifier and the process identifier.

[0046] Specifically, the preset equipment process table may be an equipment process table pre-set by the staff, and a sensing device identifier may correspond to a process identifier, so that the sensing device and the process can be automatically matched. In the process of producing cables, the sensing device automatically senses the radio frequency tag identifier on the cable, and then can automatically match the cable with the process at that time, and record the radio frequency tag identifier and the process identifier on the cable.

[0047] S130: The sensing data, weight-per-meter data, wire diameter data and process identification corresponding to the sensing device identification are stored in a database. The sensing data table in the database is used to store the sensing data and process identification. The weight-per-meter data table in the database is used to store the weight-per-meter data and process identification. The wire diameter data table in the database is used to store the wire diameter data and process identification.

[0048] Specifically, the sensing device identifier corresponds to the process identifier. After the sensing data and the process table are stored in the sensing data table, the sensing device identifier in the sensing data, the radio frequency tag identifier on the cable, and the sensing data collection time can correspond to the process identifier; after the meter weight data and the process identifier are stored in the meter weight data table, the meter weight measuring device identifier, the meter weight of the cable, and the meter weight collection time in the meter weight data can correspond to the process identifier; after the wire diameter data and the process identifier are stored in the wire diameter data table, the wire diameter measuring device identifier, the wire diameter of the cable, and the wire diameter collection time in the wire diameter data. When the staff needs to query the information in the production process of a certain cable, they can query the process identifier of the cable in the database, and can query the sensing data table, meter weight data table, and wire diameter data table corresponding to the process identifier, so as to obtain various production information in the process.

[0049] S140: Update the process start time and process end time of the cable in the work order data table according to the sensing data table.

[0050] Specifically, the sensing data table includes the radio frequency tag identification on the cable and the sensing data collection time. When the process starts, the sensing device can sense and obtain the radio frequency tag identification on the cable and the collection time at this time. The time of collecting the identification at this time can be recorded in the sensing data table, and the collection time at this time is used as the process start time and stored in the work order data table; the sensing device can obtain the collection time in real time. When the process is completed, the sensing device may not be able to sense the radio frequency tag identification on the cable, and the collection time at this time is recorded. The time of collecting the identification at this time can be recorded in the sensing data table, and the collection time at this time can be used as the process end time and stored in the work order data table.

[0051] In a possible implementation, target work order data is read from a work order data table, the target work order data including: a target process identifier, a target cable number, a target process start time and a target process end time, wherein the target process start time and / or the target process end time are empty; for any target work order data, a plurality of target sensing data corresponding to the target work order data are obtained from a sensing data table; a real start time and a real end time corresponding to the target work order data are determined according to the sensing data acquisition time in the plurality of target sensing data; the target process start time in the work order data table is updated to the real start time, and the target process end time in the work order data table is updated to the real end time.

[0052] Specifically, the work order data table may include multiple target work order data, that is, it may include multiple target processes. One target work order data may correspond to one target process. Each target process may include data such as a target process identifier, a target cable number, a target process start time, and a target process end time. Before the target process starts, the target process start time and the target process end time on the target work order data are empty. The target sensing data corresponding to the target cable number can be obtained according to the target cable number in the target work order data, the radio frequency tag identifier of the target cable can be obtained, and the sensing data collection time of the target cable can be obtained from the target sensing data. The sensing data collection time of the target cable includes the real start time and the real end time of the target cable. The target process start time in the work order data table can be updated to the real start time, and the target process end time in the work order data table can be updated to the real end time. It can be understood that updating the target process start time to the real start time and updating the target process end time to the real end time can be automatically updated, which can facilitate recording the real start time and the real end time of the target cable, and can reduce errors in manual recording.

[0053] In a possible implementation, target sensing device identifiers in multiple target sensing data and target radio frequency tag identifiers corresponding to each target sensing device identifier are determined; if there are two target sensing device identifiers, and the target sensing data corresponding to each target sensing device identifier includes a target radio frequency tag identifier, and two sensing data collection times in the target sensing data corresponding to one target sensing device identifier are shorter than two sensing data collection times in the target sensing data corresponding to another target sensing device identifier, then the minimum sensing data collection time in the multiple target sensing data is used as the actual start time, and the maximum sensing data collection time in the multiple target sensing data is used as the actual end time.

[0054] Specifically, in the cable production process, there can be two sensing devices, one is a cable take-up machine and the other is a cable unwinding machine. The cable can be transmitted in the two sensing devices. When the two sensing data collection times in the sensing data collected by one of the sensing devices are less than the two sensing data collection times in the sensing data collected by the other sensing device, the minimum sensing data collection time in the sensing data can be used as the real start time, and the maximum sensing data collection time in the sensing data can be used as the real end time, and updated in the work order data table. For example, if the two sensing data collection times collected by the cable unwinding machine are less than the two sensing data collection times collected by the cable take-up machine, the minimum sensing data collection time in the cable unwinding machine or the cable take-up machine can be used as the real start time, and the maximum sensing data collection time can be used as the real start time.

[0055] S150: updating the volume increment of the cable per unit length in the meter weight data table according to the work order data table and the wire diameter data table.

[0056] Specifically, the work order data table contains the work order data of the cable, and the wire diameter data table contains the wire diameter data and wire diameter collection time of the cable. The volume increment of the unit length of the cable can be calculated in real time based on the wire diameter data of the cable, and the real-time calculated volume increment of the unit length of the cable can be automatically updated to the meter weight data table. The meter weight data table can record the latest volume increment of the unit length of the cable in real time.

[0057] In a possible implementation, the work order data table, the meter weight data table and the wire diameter data table are associated according to a first association condition to obtain a first association table, and the first association condition is: the process identifier in the wire diameter data table is consistent with the process identifier in the work order data table, and the wire diameter collection time of the wire diameter data table is between the process start time and the process end time in the work order data table, and the process identifier in the meter weight data table is consistent with the process identifier in the work order data table, and the meter weight collection time of the meter weight data table is between the process start time and the process end time in the work order data table; for any meter weight data in the meter weight data table, according to the process identifier corresponding to any meter weight data, obtain the first wire diameter and the second wire diameter corresponding to any meter weight data from the first association table, and determine the volume increment of the cable per unit length according to the first wire diameter and the second wire diameter, and obtain the volume increment corresponding to any meter weight data, so as to update it to the meter weight data table, the first wire diameter is the wire diameter of the process identifier corresponding to any meter weight data, and the second wire diameter is the wire diameter of the previous process identifier corresponding to the meter weight data.

[0058] Specifically, the work order data table, the meter weight data table and the wire diameter data table can be associated according to the first association condition to obtain the first association table, and various data of the cable can be obtained from the first association table. In the first association condition, the process identifier in the wire diameter data table and the process identifier in the work order data table are consistent, which can ensure that the wire diameter data of the cable and the process of the cable at this time are corresponding, and the process identifier in the meter weight data table and the process identifier in the work order data table are consistent, which can ensure that the meter weight data of the cable and the process of the cable at this time are corresponding.

[0059] Specifically, the first wire diameter and the second wire diameter corresponding to the meter weight data can be obtained from the first association table according to the process identifier corresponding to the meter weight data. The first wire diameter is the wire diameter of the process identifier corresponding to the meter weight data, and the second wire diameter is the wire diameter of the previous process identifier corresponding to the meter weight data. The second wire diameter can be the wire diameter corresponding to the actual start time and the actual end time of the process corresponding to the previous process identifier. The volume increment of the cable per unit length can be calculated according to the following formula:

[0060] V=π×(D2 / 2)2-π×(D1 / 2)2, unit is m 3 , where V is the volume increment of the cable per unit length, π is a constant, D1 is the first wire diameter, and D2 is the second wire diameter.

[0061] In a possible implementation, it also includes obtaining a query request, which carries: query cable number; associating the work order data with the meter weight data table according to a second association condition to obtain a second association table, the second association condition being: the process identifier in the meter weight data table is consistent with the process identifier in the work order data table, and the meter weight collection time in the meter weight data table is between the process start time and the process end time in the work order data table; obtaining the meter weight data and / or volume increment corresponding to the cable corresponding to the queried cable number in each process from the second association table.

[0062] Specifically, after the data of the cables in the process are collected and recorded in the corresponding table through the sensing device, the meter weight measuring device, and the wire diameter measuring device, the work order data and the meter weight data table can be associated according to the second association condition to obtain a second association table. The staff can send a query request, and the query request carries the query cable number. The staff can query according to the query cable number, and obtain the meter weight data and / or volume increment corresponding to the query cable number in each process from the second association table. The staff can learn about the changes in material density of the current process or the quality changes of the cables in real time, which is conducive to improving the production quality of the cables.

[0063] In a possible implementation, the method further includes determining the time change trend of the meter weight data of each cable, and / or the time change trend of the volume increment, and / or the density change trend based on the meter weight data and / or volume increment of the cable in each process, where the density is the ratio of the meter weight data to the volume increment; and determining the change trend of the average meter weight data of different processes based on the meter weight data and / or volume increment of the cable in each process.

[0064] See also Figure 4 Specifically, for a cable in one process, the meter weight measurement device will collect the meter weight data of the cable in real time, that is, the meter weight data of the cable can be collected multiple times in one process; the wire diameter measurement data will collect the wire diameter data of the cable in real time, that is, the wire diameter data of the cable can be collected multiple times in one process, and the time change trend of the meter weight data of each cable and / or the time change trend of the volume increment and / or the density change trend can be determined according to the meter weight data and / or volume increment of the cable in each process. By collecting the meter weight data of the cable in the process multiple times, the time change trend of the meter weight data of the cable can be obtained; by collecting the meter weight data and wire diameter data of the cable in the process multiple times, the time change trend of the volume increment and the density change trend of the cable can be obtained. The density is the ratio of the meter weight data to the volume increment, which allows the staff to monitor the production quality of the cable in real time.

[0065] The cable weight-per-meter data management method of the present application comprises acquiring sensing data collected by each sensing device, weight-per-meter data collected by a weight-per-meter measuring device, and wire diameter data collected by a wire diameter measuring device, wherein the sensing data comprises: a sensing device identifier, a radio frequency tag identifier on the cable, and a sensing data collection time, the weight-per-meter data comprises: a weight-per-meter measuring device identifier, a cable weight-per-meter, and a weight-per-meter collection time, and the wire diameter data comprises: a wire diameter measuring device identifier, a cable diameter, and a wire diameter collection time; acquiring a process identifier corresponding to the sensing device identifier from a preset equipment process table, wherein the equipment process table stores a mapping relationship between the sensing device identifier and the process identifier; and mapping the sensing data, weight-per-meter data, wire diameter data, and sensing device identifiers to obtain a process identifier corresponding to the sensing device identifier. The process identification corresponding to the device identification should be stored in the database. The induction data table in the database is used to store the induction data and process identification. The meter weight data table in the database is used to store the meter weight data and process identification. The wire diameter data table in the database is used to store the wire diameter data and process identification. The process start time and process end time of the cable in the work order data table are updated according to the induction data table. The volume increment of the unit length of cable in the meter weight data table is updated according to the work order data table and the wire diameter data table. The radio frequency identification can be used to correspond to the cable, so that the meter weight data of the cable and the work order information are automatically corresponded, which reduces manual errors, and can trace the production process of the cable to improve the production quality of the cable.

[0066] See also Figure 5 The present application also provides a cable weight-per-meter data management system, comprising: a weight-per-meter measuring device, a wire diameter measuring device, a pay-off machine, and a wire take-up machine, wherein the pay-off machine and the pay-off machine are both provided with sensing devices, and the cable process is carried out between the pay-off machine and the wire take-up machine; the weight-per-meter measuring device and the wire diameter measuring device are both provided between the pay-off machine and the wire take-up machine; the weight-per-meter measuring device is used to measure the weight-per-meter data of the cable during the cable process, and the weight-per-meter data includes: a weight-per-meter measuring device identifier, a cable weight-per-meter, and a weight-per-meter collection time; the wire diameter measuring device is used to measure the cable diameter data during the cable process, and the wire diameter data includes: a wire diameter measuring device identifier and a cable diameter; the pay-off machine is used to gradually transmit the cable to the wire take-up machine during the cable process; the sensing device is used to collect sensing data from radio frequency tags respectively provided at both ends of the cable during the cable process, and the sensing data includes: a sensing device identifier, a radio frequency tag identifier on the cable, and a sensing data collection time.

[0067] Corresponding to the aforementioned application function implementation method embodiment, the present application also provides a cable weight data management device, an electronic device and corresponding embodiments.

[0068] Figure 2 It is a structural schematic diagram of a cable weight data management device shown in an embodiment of the present application.

[0069] See also Figure 2A cable weight data management device 200 includes a first acquisition module 210, a second acquisition module 220, a storage module 230, an update module 240, and a processing module 250.

[0070] The first acquisition module 210 is used to acquire the sensing data collected by each sensing device, the weight per meter data collected by the weight per meter measuring device, and the wire diameter data collected by the wire diameter measuring device. The sensing data includes: the sensing device identification, the radio frequency tag identification on the cable, and the sensing data collection time. The weight per meter data includes: the weight per meter measuring device identification, the weight per meter of the cable, and the weight per meter collection time. The wire diameter data includes: the wire diameter measuring device identification, the wire diameter of the cable, and the wire diameter collection time.

[0071] Specifically, the sensing device is provided with a sensing device identification, and each cable is provided with a radio frequency tag identification. During the production process, the cables can pass through the sensing device, the meter weight measuring device, and the wire diameter measuring device in turn. The meter weight measuring device can detect the meter weight of the cable in real time and record the meter weight collection time. The meter weight measuring device identification on the meter weight measuring device corresponds to the meter weight measuring device. The wire diameter measuring device can measure the wire diameter of the cable in real time and record the wire diameter collection time. The wire diameter measuring device identification on the wire diameter measuring device corresponds to the wire diameter measuring device. It can be understood that the appropriate sensing device identification, wire diameter measuring device identification, and meter weight measuring device identification can be selected according to different production environments, such as high temperature, high pressure, wading and other environmental requirements.

[0072] The second acquisition module 220 is used to acquire the process identifier corresponding to the sensing device identifier from a preset equipment process table, where the equipment process table stores a mapping relationship between the sensing device identifier and the process identifier.

[0073] Specifically, the preset equipment process table may be an equipment process table pre-set by the staff, and a sensing device identifier may correspond to a process identifier, so that the sensing device and the process can be automatically matched. In the process of producing cables, the sensing device automatically senses the radio frequency tag identifier on the cable, and then can automatically match the cable with the process at that time, and record the radio frequency tag identifier and the process identifier on the cable.

[0074] The storage module 230 is used to store the sensing data, weight-per-meter data, wire diameter data and process identification corresponding to the sensing device identification in a database. The sensing data table in the database is used to store the sensing data and process identification. The weight-per-meter data table in the database is used to store the weight-per-meter data and process identification. The wire diameter data table in the database is used to store the wire diameter data and process identification.

[0075] Specifically, the sensing device identifier corresponds to the process identifier. After the sensing data and the process table are stored in the sensing data table, the sensing device identifier in the sensing data, the radio frequency tag identifier on the cable, and the sensing data collection time can correspond to the process identifier; after the meter weight data and the process identifier are stored in the meter weight data table, the meter weight measuring device identifier, the meter weight of the cable, and the meter weight collection time in the meter weight data can correspond to the process identifier; after the wire diameter data and the process identifier are stored in the wire diameter data table, the wire diameter measuring device identifier, the wire diameter of the cable, and the wire diameter collection time in the wire diameter data. When the staff needs to query the information in the production process of a certain cable, they can query the process identifier of the cable in the database, and can query the sensing data table, meter weight data table, and wire diameter data table corresponding to the process identifier, so as to obtain various production information in the process.

[0076] The updating module 240 is used to update the process start time and process end time of the cable in the work order data table according to the sensing data table.

[0077] Specifically, the sensing data table includes the radio frequency tag identification on the cable and the sensing data collection time. When the process starts, the sensing device can sense and obtain the radio frequency tag identification on the cable and the collection time at this time. The time of collecting the identification at this time can be recorded in the sensing data table, and the collection time at this time is used as the process start time and stored in the work order data table; the sensing device can obtain the collection time in real time. When the process is completed, the sensing device may not be able to sense the radio frequency tag identification on the cable, and the collection time at this time is recorded. The time of collecting the identification at this time can be recorded in the sensing data table, and the collection time at this time can be used as the process end time and stored in the work order data table.

[0078] In a possible implementation, the update module 240 is also used to read target work order data from the work order data table, where the target work order data includes: target process identifier, target cable number, target process start time and target process end time, where the target process start time and / or target process end time are empty; for any target work order data, multiple target sensing data corresponding to the target work order data are obtained from the sensing data table; the real start time and real end time corresponding to the target work order data are determined based on the sensing data collection time in the multiple target sensing data; the target process start time in the work order data table is updated to the real start time, and the target process end time in the work order data table is updated to the real end time.

[0079] In a possible implementation, the update module 240 is further used to determine the target sensing device identifiers in the multiple target sensing data and the target radio frequency tag identifiers corresponding to each target sensing device identifier; if there are two target sensing device identifiers, and the target sensing data corresponding to each target sensing device identifier includes a target radio frequency tag identifier, and the two sensing data collection times in the target sensing data corresponding to one target sensing device identifier are smaller than the two sensing data collection times in the target sensing data corresponding to another target sensing device identifier, then the minimum sensing data collection time in the multiple target sensing data is used as the real start time, and the maximum sensing data collection time in the multiple target sensing data is used as the real end time.

[0080] The processing module 250 is used to update the volume increment of the cable per unit length in the meter weight data table according to the work order data table and the wire diameter data table.

[0081] Specifically, the work order data table contains the work order data of the cable, and the wire diameter data table contains the wire diameter data and wire diameter collection time of the cable. The volume increment of the unit length of the cable can be calculated in real time based on the wire diameter data of the cable, and the real-time calculated volume increment of the unit length of the cable can be automatically updated to the meter weight data table. The meter weight data table can record the latest volume increment of the unit length of the cable in real time.

[0082] In a possible implementation, the processing module 250 is also used to associate the work order data table, the meter weight data table and the wire diameter data table according to a first association condition to obtain a first association table, wherein the first association condition is: the process identifier in the wire diameter data table is consistent with the process identifier in the work order data table, and the wire diameter collection time in the wire diameter data table is between the process start time and the process end time in the work order data table, and the process identifier in the meter weight data table is consistent with the process identifier in the work order data table, and the meter weight collection time in the meter weight data table is between the process start time and the process end time in the work order data table; for any meter weight data in the meter weight data table, according to the process identifier corresponding to any meter weight data, obtain the first wire diameter and the second wire diameter corresponding to any meter weight data from the first association table, and determine the volume increment of the cable per unit length according to the first wire diameter and the second wire diameter, and obtain the volume increment corresponding to any meter weight data to update it to the meter weight data table, wherein the first wire diameter is the wire diameter of the process identifier corresponding to any meter weight data, and the second wire diameter is the wire diameter of the previous process identifier corresponding to the meter weight data.

[0083] In a possible implementation, the processing module 250 is also used to obtain a query request, which carries: a query cable number; the work order data and the meter weight data table are associated according to a second association condition to obtain a second association table, and the second association condition is: the process identifier in the meter weight data table is consistent with the process identifier in the work order data table, and the meter weight collection time in the meter weight data table is between the process start time and the process end time in the work order data table; the meter weight data and / or volume increment corresponding to the queried cable number in each process are obtained from the second association table.

[0084] In a possible implementation, the processing module 250 is also used to determine the time change trend of the meter weight data of each cable, and / or the time change trend of the volume increment, and / or the density change trend based on the meter weight data and / or volume increment of the cable in each process, where the density is the ratio of the meter weight data to the volume increment; determine the change trend of the average meter weight data of different processes based on the meter weight data and / or volume increment of the cable in each process.

[0085] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated again here.

[0086] Figure 3 It is a schematic diagram of the structure of an electronic device shown in an embodiment of the present application.

[0087] See also Figure 3 , the electronic device 300 includes a memory 310 and a processor 320.

[0088] The processor 320 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0089] The memory 310 may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage devices. Among them, ROM can store static data or instructions required by the processor 320 or other modules of the computer. The permanent storage device may be a readable and writable storage device. The permanent storage device may be a non-volatile storage device that does not lose the stored instructions and data even after the computer is powered off. In some embodiments, the permanent storage device uses a large-capacity storage device (such as a magnetic or optical disk, flash memory) as a permanent storage device. In some other embodiments, the permanent storage device may be a removable storage device (such as a floppy disk, optical drive). The system memory may be a readable and writable storage device or a volatile readable and writable storage device, such as a dynamic random access memory. The system memory may store some or all instructions and data required by the processor at run time. In addition, the memory 310 may include any combination of computer-readable storage media, including various types of semiconductor storage chips (such as DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory 310 may include a readable and / or writable removable storage device, such as a laser disc (CD), a read-only digital versatile disc (such as a DVD-ROM, a double-layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (such as an SD card, a mini SD card, a Micro-SD card, etc.), a magnetic floppy disk, etc. Computer-readable storage media do not include carrier waves and transient electronic signals transmitted wirelessly or wired.

[0090] The memory 310 stores executable codes, and when the executable codes are processed by the processor 320 , the processor 320 can execute part or all of the methods described above.

[0091] In addition, the method according to the present application may also be implemented as a computer program or a computer program product, which includes computer program code instructions for executing some or all of the steps in the above method of the present application.

[0092] Alternatively, the present application can also be implemented as a computer-readable storage medium (or non-transitory machine-readable storage medium or machine-readable storage medium) on which executable code (or computer program or computer instruction code) is stored. When the executable code (or computer program or computer instruction code) is executed by a processor of an electronic device (or server, etc.), the processor executes part or all of the steps of the above-mentioned method according to the present application.

[0093] The embodiments of the present application have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A method for managing cable weight data, characterized in that: The method comprises: Acquire sensing data collected by each sensing device, weight per meter data collected by a weight per meter measuring device, and wire diameter data collected by a wire diameter measuring device, wherein the sensing data includes: a sensing device identifier, a radio frequency tag identifier on the cable, and a sensing data collection time; the weight per meter data includes: a weight per meter measuring device identifier, a weight per meter of the cable, and a weight per meter collection time; and the wire diameter data includes: a wire diameter measuring device identifier, a wire diameter of the cable, and a wire diameter collection time; Obtaining a process identifier corresponding to the sensing device identifier from a preset equipment process table, wherein the equipment process table stores a mapping relationship between the sensing device identifier and the process identifier; The sensing data, the weight per meter data, the wire diameter data and the process identification corresponding to the sensing device identification are stored in a database, wherein the sensing data table in the database is used to store the sensing data and the process identification, the weight per meter data table in the database is used to store the weight per meter data and the process identification, and the wire diameter data table in the database is used to store the wire diameter data and the process identification; Update the process start time and process end time of the cable in the work order data table according to the sensing data table; The volume increment of the cable per unit length in the meter weight data table is updated according to the work order data table and the wire diameter data table.

2. The method according to claim 1, characterized in that The updating of the process start time and process end time of the cable in the work order data table according to the sensing data table includes: Read target work order data from the work order data table, the target work order data including: target process identifier, target cable number, target process start time and target process end time, the target process start time and / or the target process end time are empty; For any of the target work order data, obtaining a plurality of target sensing data corresponding to the target work order data from the sensing data table; Determine the real start time and the real end time corresponding to the target work order data according to the sensing data collection time in the plurality of target sensing data; The target process start time in the work order data table is updated to the actual start time, and the target process end time in the work order data table is updated to the actual end time.

3. The method according to claim 2, characterized in that Determining the real start time and the real end time corresponding to the target work order data according to the sensing data collection time in the plurality of target sensing data includes: Determine a target sensing device identifier in a plurality of the target sensing data and a target radio frequency tag identifier corresponding to each of the target sensing device identifiers; If there are two target sensing device identifiers, and the target sensing data corresponding to each target sensing device identifier includes one target radio frequency tag identifier, and the two sensing data collection times in the target sensing data corresponding to one of the target sensing device identifiers are smaller than the two sensing data collection times in the target sensing data corresponding to another target sensing device identifier, then the minimum sensing data collection time among the multiple target sensing data is taken as the true start time, and the maximum sensing data collection time among the multiple target sensing data is taken as the true end time.

4. The method according to any one of claims 1 to 3, characterized in that The updating of the volume increment of the cable per unit length in the meter weight data table according to the work order data table and the wire diameter data table comprises: The work order data table, the weight-by-meter data table and the wire diameter data table are associated according to a first association condition to obtain a first association table, wherein the first association condition is: the process identifier in the wire diameter data table is consistent with the process identifier in the work order data table, and the wire diameter collection time of the wire diameter data table is between the process start time and the process end time in the work order data table, and the process identifier in the weight-by-meter data table is consistent with the process identifier in the work order data table, and the weight-by-meter collection time of the weight-by-meter data table is between the process start time and the process end time in the work order data table; For any meter weight data in the meter weight data table, according to the process identifier corresponding to any meter weight data, obtain the first wire diameter and the second wire diameter corresponding to any meter weight data from the first association table, and determine the volume increment of the cable per unit length according to the first wire diameter and the second wire diameter, and obtain the volume increment corresponding to any meter weight data to update the meter weight data table, wherein the first wire diameter is the wire diameter of the process identifier corresponding to any meter weight data, and the second wire diameter is the wire diameter of the previous process identifier corresponding to the meter weight data.

5. The method according to claim 1, characterized in that Also includes: Obtaining a query request, wherein the query request carries: a query cable number; The work order data and the meter weight data table are associated according to a second association condition to obtain a second association table, wherein the second association condition is that the process identifier in the meter weight data table is consistent with the process identifier in the work order data table, and the meter weight collection time of the meter weight data table is between the process start time and the process end time in the work order data table; The meter weight data and / or volume increment corresponding to the cable corresponding to the queried cable number in each process are obtained from the second association table.

6. The method according to claim 5, characterized in that Also includes: Determine, according to the weight per meter data and / or volume increment of the cable in each process, a time variation trend of the weight per meter data, and / or a time variation trend of the volume increment, and / or a variation trend of the density of each cable, wherein the density is a ratio of the weight per meter data to the volume increment; According to the weight-per-meter data and / or volume increment of the cable in each process, the change trend of the average weight-per-meter data of different processes is determined.

7. A cable weight data management system, characterized in that: include: A meter weight measuring device, a wire diameter measuring device, a wire pay-off machine, and a wire take-up machine. The wire pay-off machine and the wire take-up machine are both provided with sensing devices, and the cable process is carried out between the wire pay-off machine and the wire take-up machine; the meter weight measuring device and the wire diameter measuring device are both provided between the wire pay-off machine and the wire take-up machine; The meter weight measuring device is used to measure the meter weight data of the cable during the cable process, and the meter weight data includes: the meter weight measuring device identifier, the meter weight of the cable, and the meter weight collection time; The wire diameter measuring device is used to measure the wire diameter data of the cable during the process of the cable, and the wire diameter data includes: a wire diameter measuring device identifier and a wire diameter of the cable; The pay-off machine is used to gradually transfer the cable to the take-up machine during the cable process; The sensing device is used to collect sensing data from radio frequency tags respectively arranged at both ends of the cable during the process of the cable, and the sensing data includes: the sensing device identification, the radio frequency tag identification on the cable, and the sensing data collection time.

8. A cable weight data management device, characterized in that: include: The first acquisition module is used to acquire the sensing data collected by each sensing device, the weight per meter data collected by the weight per meter measuring device, and the wire diameter data collected by the wire diameter measuring device, wherein the sensing data includes: the sensing device identification, the radio frequency tag identification on the cable, and the sensing data acquisition time; the weight per meter data includes: the weight per meter measuring device identification, the weight per meter of the cable, and the weight per meter acquisition time; and the wire diameter data includes: the wire diameter measuring device identification, the wire diameter of the cable, and the wire diameter acquisition time; A second acquisition module is used to acquire a process identifier corresponding to the sensing device identifier from a preset equipment process table, wherein the equipment process table stores a mapping relationship between the sensing device identifier and the process identifier; A storage module, used for storing the sensing data, the weight per meter data, the wire diameter data and the process identification corresponding to the sensing device identification in a database, wherein the sensing data table in the database is used for storing the sensing data and the process identification, the weight per meter data table in the database is used for storing the weight per meter data and the process identification, and the wire diameter data table in the database is used for storing the wire diameter data and the process identification; An updating module, used for updating the process start time and process end time of the cable in the work order data table according to the sensing data table; A processing module is used to update the volume increment of the cable per unit length in the meter weight data table according to the work order data table and the wire diameter data table.

9. An electronic device, characterized in that: include: processor; as well as A memory having executable codes stored thereon, which, when executed by the processor, causes the processor to execute the method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: An executable code is stored thereon, and when the executable code is executed by a processor of an electronic device, the processor is caused to execute the method as claimed in any one of claims 1 to 6.

11. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the method according to any one of claims 1 to 6 is implemented.