Abnormal monitoring method and system based on ship-borne crane signal line

Abstract

The application relates to the technical field of signal line monitoring, and discloses an abnormality monitoring method and system based on a ship-mounted crane signal line, which comprises the following steps: acquiring historical load data of the ship-mounted crane; drawing a load-current-voltage curve of the ship-mounted crane according to the historical load data; collecting working parameters of the ship-mounted crane signal line in real time; acquiring real-time load data of the ship-mounted crane, and determining predicted current and predicted voltage of the ship-mounted crane according to the real-time load data; comparing the predicted current with current data, comparing the predicted voltage with voltage data, and preliminarily judging whether the signal line of the ship-mounted crane is abnormal according to the comparison results; and secondarily judging whether the signal line of the ship-mounted crane is abnormal according to temperature data and vibration data. The application can significantly improve the accuracy and reliability of monitoring, and enhance the operation safety and efficiency of the equipment by comprehensively utilizing historical data and real-time data and combining a multilevel monitoring mechanism.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of signal line monitoring, in particular to an abnormality monitoring method and system based on a ship-mounted crane signal line. BACKGROUND

[0002] In modern ship operations, ship-mounted cranes as important loading and unloading equipment, its safe and stable operation is of great importance to ensure the normal operation of the ship. However, due to the complexity of the marine operating environment, the signal line of the ship-mounted crane is easily affected by various factors, resulting in line abnormalities. The traditional monitoring method often relies on manual inspection, which is not only inefficient, but also difficult to find potential fault hidden dangers in time. Therefore, it is particularly urgent to develop a monitoring method that can monitor the state of the ship-mounted crane signal line in real time and accurately predict and judge abnormal conditions. SUMMARY

[0003] The purpose of the present application is to provide an abnormality monitoring method and system based on a ship-mounted crane signal line, which aims to solve the above problems, to improve the monitoring efficiency and accuracy, and to ensure the safe and stable operation of the ship-mounted crane.

[0004] The present application provides an abnormality monitoring method based on a ship-mounted crane signal line, comprising:

[0005] Obtaining historical load data of the ship-mounted crane, the historical load data including historical load data, historical current data and historical voltage data;

[0006] Drawing a load-current voltage curve of the ship-mounted crane according to the historical load data;

[0007] Real-time acquisition of working parameters of the ship-mounted crane signal line, the working parameters including current data, voltage data, temperature data and vibration data;

[0008] Obtaining real-time load data of the ship-mounted crane, based on the load-current voltage curve, determining the predicted current and predicted voltage of the ship-mounted crane according to the real-time load data;

[0009] Comparing the predicted current with the current data, comparing the predicted voltage with the voltage data, and preliminarily judging whether the signal line of the ship-mounted crane is abnormal according to the comparison result;

[0010] If the signal line of the ship-mounted crane is preliminarily judged to be normal, then judging whether the signal line of the ship-mounted crane is abnormal according to the temperature data and vibration data.

[0011] Preferably, drawing a load-current voltage curve of the ship-mounted crane according to the historical load data, comprising:

[0012] The time period of the historical current data and the historical voltage data is a full cycle of the ship-mounted crane completing each load transportation;

[0013] The historical load data is one-to-one corresponding to the historical current data and the historical voltage data, and a load-current voltage curve corresponding to each historical load data is drawn.

[0014] Preferably, the working parameters are collected by a sensor assembly;

[0015] The sensor assembly comprises: a current sensor installed at the power input end and the load end of the ship-mounted crane, the current sensor being used for detecting current data of the signal line;

[0016] a voltage sensor installed at the power input end and the load end of the ship-mounted crane, the voltage sensor being used for detecting voltage data of the signal line;

[0017] a temperature sensor installed at the periphery of the signal line of the ship-mounted crane, the temperature sensor being used for detecting temperature data of the periphery of the signal line;

[0018] a vibration sensor installed at the connection of the signal line of the ship-mounted crane, the vibration sensor being used for detecting vibration data of the signal line.

[0019] Preferably, based on the load-current voltage curve, the predicted current and the predicted voltage of the ship-mounted crane are determined according to the real-time load data, comprising:

[0020] The historical load data is screened based on the real-time load data, and the load-current voltage curve corresponding to the consistent real-time load data and the historical load data is determined;

[0021] Based on the screened load-current voltage curve, the predicted current and the predicted voltage corresponding to the real-time load data are determined.

[0022] Preferably, the predicted current is compared with the current data, comprising:

[0023] The predicted current is compared with the current data, and if the predicted current is the same as the current data, it is determined that the current data is normal;

[0024] If the predicted current is not the same as the current data, the predicted current and the current data are divided into nodes, and the current similarity of the predicted current and the current data is determined according to the divided nodes;

[0025] The current similarity is determined according to the following formula:

[0026]

[0027] wherein SI represents a current similarity, I pre，i represents a predicted current of the i-th node, I real，i represents current data of the i-th node, and n represents a total number of nodes.

[0028] Preferably, comparing the predicted voltage with the voltage data comprises:

[0029] comparing the predicted voltage with the voltage data, and if the predicted voltage is identical to the voltage data, determining that the voltage data is normal;

[0030] if the predicted voltage is not identical to the voltage data, dividing the predicted voltage and the voltage data by nodes, and determining a voltage similarity of the predicted voltage and the voltage data according to the divided nodes;

[0031] the voltage similarity is determined according to the following formula:

[0032]

[0033] wherein SV represents a voltage similarity, V pre，i represents a predicted voltage of the i-th node, V real，i represents voltage data of the i-th node, and n represents a total number of nodes.

[0034] Preferably, preliminarily judging whether the signal line of the ship-mounted crane is abnormal according to the comparison result comprises:

[0035] when it is determined that the current data is normal and the voltage data is normal, preliminarily judging that the signal line of the ship-mounted crane is normal;

[0036] if the predicted current is not identical to the current data, and the predicted voltage is not identical to the voltage data, determining a comprehensive similarity according to the current similarity and the voltage similarity, and preliminarily judging whether the signal line of the ship-mounted crane is abnormal according to the comprehensive similarity;

[0037] if the comprehensive similarity is greater than or equal to a preset similarity, preliminarily judging that the signal line of the ship-mounted crane is normal;

[0038] if the comprehensive similarity is less than the preset similarity, preliminarily judging that the signal line of the ship-mounted crane is abnormal.

[0039] Preferably, secondarily judging whether the signal line of the ship-mounted crane is abnormal according to the temperature data and the vibration data comprises:

[0040] comparing the temperature data with a preset temperature threshold, if the temperature data is less than or equal to the preset temperature threshold, it is determined that the temperature data is normal;

[0041] if there is temperature data greater than the preset temperature threshold, the total duration when the temperature data is greater than the preset temperature threshold is determined, and the total duration is compared with a preset duration, if the total duration is less than or equal to the preset duration, it is determined that the temperature data is normal;

[0042] if the total duration is greater than the preset duration, it is determined that the temperature data is abnormal;

[0043] when it is determined that the temperature data is normal, the signal line of the ship-mounted crane is judged again;

[0044] when it is determined that the temperature data is abnormal, it is determined that the signal line of the ship-mounted crane is abnormal.

[0045] Preferably, the signal line of the ship-mounted crane is judged again according to the temperature data and the vibration data, comprising:

[0046] the vibration data comprises vibration frequency and vibration amplitude;

[0047] the vibration frequency is compared with a preset vibration frequency, and the vibration amplitude is compared with a preset vibration amplitude;

[0048] if the vibration frequency is less than or equal to the preset vibration frequency, and the vibration amplitude is less than or equal to the preset vibration amplitude, it is determined that the signal line of the ship-mounted crane is normal, otherwise, it is determined that the signal line of the ship-mounted crane is abnormal.

[0049] The application also discloses an abnormality monitoring system based on a signal line of a ship-mounted crane, which is used for the above-mentioned abnormality monitoring method based on a signal line of a ship-mounted crane, and comprises:

[0050] a historical data analysis module, which is used for acquiring historical load data of the ship-mounted crane, and comprises historical load data, historical current data and historical voltage data; and a load-current voltage curve of the ship-mounted crane is drawn according to the historical load data;

[0051] a data acquisition module, which is used for acquiring working parameters of the signal line of the ship-mounted crane in real time, and the working parameters comprise current data, voltage data, temperature data and vibration data;

[0052] a prediction data determination module, which is used for acquiring real-time load data of the ship-mounted crane, and determining predicted current and predicted voltage of the ship-mounted crane according to the real-time load data based on the load-current voltage curve.

[0053] The abnormality judgment module is configured to compare the predicted current with the current data and compare the predicted voltage with the voltage data, and preliminarily judge whether the signal line of the ship-mounted crane is abnormal according to the comparison results; if it is preliminarily judged that the signal line of the ship-mounted crane is normal, then secondarily judge whether the signal line of the ship-mounted crane is abnormal according to the temperature data and the vibration data.

[0054] Compared with the prior art, the beneficial effects of the present application are that the present application can more accurately predict the current and voltage values of the crane under different loads by obtaining the historical load data of the ship-mounted crane and drawing the load-current-voltage curve. Real-time acquisition of working parameters and comparison with predicted values help to more accurately judge whether the signal line is abnormal, improve the accuracy and reliability of monitoring. This method not only preliminarily judges through comparison of current and voltage data, but also secondarily judges in combination with temperature and vibration data, increasing the dimension and depth of monitoring and improving the comprehensiveness and accuracy of abnormal detection. Real-time acquisition of working parameters of the ship-mounted crane, including current, voltage, temperature and vibration data, makes the monitoring process real-time. Once an abnormality is found, measures can be taken in time for processing, avoiding the expansion of faults or causing greater losses. Based on the analysis of historical data and real-time data, data-driven decision support can be provided for operators. Through analysis of historical load data and real-time load data, the operation and maintenance strategy of the crane can be optimized, and the running efficiency and safety of the equipment can be improved. BRIEF DESCRIPTION OF DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of the provided drawings.

[0056] Figure 1 is a flowchart of an abnormality monitoring method for a signal line of a ship-mounted crane according to the present application;

[0057] Figure 2 is a functional block diagram of an abnormality monitoring system for a signal line of a ship-mounted crane according to the present application. DETAILED DESCRIPTION

[0058] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0059] As shown in Figure 1 The present application provides an abnormality monitoring method based on a signal line of a ship-mounted crane, comprising:

[0060] Obtaining historical load data of the ship-mounted crane, wherein the historical load data comprises historical load data, historical current data and historical voltage data.

[0061] Drawing a load-current-voltage curve of the ship-mounted crane according to the historical load data.

[0062] Real-time collecting working parameters of the signal line of the ship-mounted crane, wherein the working parameters comprise current data, voltage data, temperature data and vibration data.

[0063] Obtaining real-time load data of the ship-mounted crane, and determining predicted current and predicted voltage of the ship-mounted crane according to the real-time load data based on the load-current-voltage curve.

[0064] Comparing the predicted current with the current data, comparing the predicted voltage with the voltage data, and preliminarily judging whether the signal line of the ship-mounted crane is abnormal according to the comparison results.

[0065] If it is preliminarily judged that the signal line of the ship-mounted crane is normal, then secondarily judging whether the signal line of the ship-mounted crane is abnormal according to the temperature data and the vibration data.

[0066] In some embodiments of the present application, drawing a load-current-voltage curve of the ship-mounted crane according to the historical load data comprises: the time period of the historical current data and the historical voltage data is a full cycle of completing each load transportation of the ship-mounted crane; and the historical load data is one-to-one corresponding to the historical current data and the historical voltage data, and a load-current-voltage curve corresponding to each historical load data is drawn.

[0067] In this embodiment, the collected historical current data and historical voltage data are arranged in chronological order, ensuring that their time periods correspond to the full cycle of each load transport completed by the ship-mounted crane. The historical load data is matched with the corresponding historical current data and historical voltage data. Each set of load data should correspond to specific current and voltage data, ensuring the accuracy of the data points. Using chart software or manually drawing, each set of historical load data and the corresponding current and voltage data points are plotted on a coordinate graph. The horizontal axis can represent the load size, and the vertical axis can represent the current and voltage, respectively.

[0068] In some embodiments of the present application, the working parameters are collected by a sensor assembly, which includes: a current sensor installed at the power input end and the load end of the ship-mounted crane, the current sensor being used to detect the current data of the signal line; a voltage sensor installed at the power input end and the load end of the ship-mounted crane, the voltage sensor being used to detect the voltage data of the signal line; a temperature sensor installed around the signal line of the ship-mounted crane, the temperature sensor being used to detect the temperature data of the surrounding environment of the signal line; and a vibration sensor installed at the connection of the signal line of the ship-mounted crane, the vibration sensor being used to detect the vibration data of the signal line.

[0069] In this embodiment, the combination of current sensor and voltage sensor can accurately monitor the stability of power supply and the current and voltage changes of the load, providing reliable data support for the power system of the crane. The deployment of the temperature sensor helps to prevent equipment failure caused by overheating and ensures that the signal line operates within an appropriate temperature range. The vibration sensor can detect abnormal vibrations in a timely manner and prevent mechanical wear or structural damage caused by excessive vibration, thereby prolonging the service life of the crane and improving the safety of operation. Through the data collected by these sensors, comprehensive monitoring of the working state of the ship-mounted crane can be achieved, providing an important basis for maintenance and fault diagnosis.

[0070] In some embodiments of the present application, based on the load-current voltage curve, the predicted current and predicted voltage of the ship-mounted crane are determined according to the real-time load data, which includes: screening the historical load data based on the real-time load data, and determining the load-current voltage curve corresponding to the consistent real-time load data and historical load data; and determining the predicted current and predicted voltage corresponding to the real-time load data based on the screened load-current voltage curve.

[0071] In this embodiment, when a real-time prediction is required, current real-time load data is first collected. These data can come from sensors of the onboard crane, which can provide load information under current operating conditions. Then, according to these real-time load data, the previously collected historical load data is filtered to find the historical data points that best match the current load data. Once the historical load data consistent with the real-time load data is found, the corresponding load-current-voltage curve can be determined. This curve will be used to predict the current and voltage under the current load condition. Specifically, by locating the current load point on the curve, the corresponding predicted current and predicted voltage values can be read or calculated.

[0072] In some embodiments of the present application, comparing the predicted current with the current data comprises: comparing the predicted current with the current data, if the predicted current is the same as the current data, determining that the current data is normal; if the predicted current is not the same as the current data, dividing the predicted current and the current data into nodes, and determining the current similarity of the predicted current and the current data according to the divided nodes;

[0073] The current similarity is determined according to the following formula:

[0074]

[0075] Wherein, SI represents the current similarity, I pre，i represents the predicted current of the i-th node, I real，i represents the current data of the i-th node, and n represents the total number of nodes.

[0076] Comparing the predicted voltage with the voltage data comprises: comparing the predicted voltage with the voltage data, if the predicted voltage is the same as the voltage data, determining that the voltage data is normal; if the predicted voltage is not the same as the voltage data, dividing the predicted voltage and the voltage data into nodes, and determining the voltage similarity of the predicted voltage and the voltage data according to the divided nodes;

[0077] The voltage similarity is determined according to the following formula:

[0078]

[0079] Wherein, SV represents the voltage similarity, V pre，i represents the predicted voltage of the i-th node, V real，i represents the voltage data of the i-th node, and n represents the total number of nodes.

[0080] According to the comparison result, it is preliminarily judged whether the signal line of the ship-mounted crane is abnormal, including: when it is determined that the current data is not abnormal and the voltage data is not abnormal, it is preliminarily judged that the signal line of the ship-mounted crane is not abnormal; if the predicted current is not the same as the current data, and the predicted voltage is not the same as the voltage data, then according to the current similarity and the voltage similarity, a comprehensive similarity is determined, and according to the comprehensive similarity, it is preliminarily judged whether the signal line of the ship-mounted crane is abnormal; if the comprehensive similarity is greater than or equal to a preset similarity, it is preliminarily judged that the signal line of the ship-mounted crane is not abnormal; if the comprehensive similarity is less than the preset similarity, it is preliminarily judged that the signal line of the ship-mounted crane is abnormal.

[0081] When inspecting the signal line of the ship-mounted crane, by comparing the actually measured current data with the expected current data, and the actually measured voltage data with the expected voltage data, the health condition of the signal line can be preliminarily evaluated.

[0082] The specific steps are as follows: if the actually measured current value is consistent with the expected current value, and no abnormal fluctuations or deviations are found, then it can be preliminarily judged that the signal line is normal in terms of current. Similarly, if the actually measured voltage value is consistent with the expected voltage value, and there is no abnormal fluctuation or deviation, then it can be preliminarily judged that the signal line is also normal in terms of voltage. If it is found that the predicted current value is not consistent with the actually measured current value, and the predicted voltage value is not consistent with the actually measured voltage value, then the current similarity and the voltage similarity need to be further analyzed. By combining the current similarity and the voltage similarity, a comprehensive similarity index can be obtained. This index reflects the overall similarity degree of the signal line in terms of current and voltage. If the comprehensive similarity is greater than or equal to a preset similarity threshold, then it can be preliminarily judged that the signal line of the ship-mounted crane is not abnormal. On the contrary, if the comprehensive similarity is less than the preset similarity threshold, then it is preliminarily judged that the signal line may be abnormal and needs further inspection and maintenance. Through the above steps, the signal line of the ship-mounted crane can be effectively preliminarily evaluated, so that potential problems can be found in time and corresponding measures can be taken.

[0083] In some embodiments of the present application, the secondary judgment of whether the signal line of the ship-mounted crane is abnormal based on the temperature data and the vibration data includes: comparing the temperature data with a preset temperature threshold, if all the temperature data is less than or equal to the preset temperature threshold, it is determined that the temperature data is normal; if there is temperature data greater than the preset temperature threshold, the total duration of the temperature data greater than the preset temperature threshold is determined, and the total duration is compared with a preset duration, if the total duration is less than or equal to the preset duration, it is determined that the temperature data is normal; if the total duration is greater than the preset duration, it is determined that the temperature data is abnormal; when it is determined that the temperature data is normal, it is secondary judged that the signal line of the ship-mounted crane is normal; when it is determined that the temperature data is abnormal, it is secondary judged that the signal line of the ship-mounted crane is abnormal.

[0084] In the secondary judgment of the signal line of the ship-mounted crane, the temperature data needs to be analyzed first. The specific steps are as follows: comparing the collected temperature data with a preset temperature threshold. The preset temperature threshold is set according to the temperature range of the normal operation of the equipment, to ensure that the equipment will not be damaged due to overheating. If all the temperature data is less than or equal to the preset temperature threshold, it can be preliminarily judged that there is no abnormality in the temperature. If there is any temperature data greater than the preset temperature threshold, the total duration of the temperature exceeding the standard needs to be recorded. Next, the total duration of the temperature exceeding the standard is compared with a preset duration threshold. The preset duration threshold is set according to the maximum duration allowed when the equipment operates beyond the safe temperature range. If the total duration of the temperature exceeding the standard is less than or equal to the preset duration threshold, it can be considered that the temperature abnormality is temporary and will not cause damage to the signal line, so it can be determined that the temperature data is normal. If the total duration of the temperature exceeding the standard is greater than the preset duration threshold, it can be judged that the temperature data is abnormal, which may mean that there is a problem with the signal line, which needs to be further checked. In the case where it is determined that the temperature data is normal, it can be concluded that the signal line of the ship-mounted crane is normal in terms of temperature. If the temperature data is abnormal, further checking is needed to determine whether the signal line is really abnormal.

[0085] In some embodiments of the present application, the secondary judgment of whether the signal line of the ship-mounted crane is abnormal based on the temperature data and the vibration data includes: the vibration data includes vibration frequency and vibration amplitude; comparing the vibration frequency with a preset vibration frequency and comparing the vibration amplitude with a preset vibration amplitude; if the vibration frequency is less than or equal to the preset vibration frequency and the vibration amplitude is less than or equal to the preset vibration amplitude, it is secondary judged that the signal line of the ship-mounted crane is normal, otherwise, it is secondary judged that the signal line of the ship-mounted crane is abnormal.

[0086] In addition to temperature data, vibration data is also an important indicator for determining whether the signal line of the ship-mounted crane is working normally during maintenance and inspection. Vibration data generally includes two aspects: vibration frequency and vibration amplitude. In order to make a secondary judgment, a set of preset vibration frequency and vibration amplitude are needed as reference standards. First, compare the vibration data with the preset vibration frequency and vibration amplitude. If the analysis result shows that the actual vibration frequency is less than or equal to the preset vibration frequency, and the actual vibration amplitude is also less than or equal to the preset vibration amplitude, we can conclude that the signal line of the ship-mounted crane is not abnormal in the current state. This indicates that the signal line may be in good working condition, or any existing problem is not enough to cause significant changes in vibration parameters. However, if the actual vibration frequency exceeds the preset vibration frequency, or the actual vibration amplitude exceeds the preset vibration amplitude, it may indicate that the signal line has a problem. In this case, the increase in vibration frequency and amplitude may be due to abnormal vibration caused by electrical faults, poor connection, mechanical wear or other factors in the signal line. Therefore, we can make a secondary judgment that the signal line of the ship-mounted crane is abnormal. After making a secondary judgment, appropriate measures should be taken, such as further checking the signal line, performing necessary maintenance or replacing damaged parts, to ensure the safe and reliable operation of the ship-mounted crane.

[0087] As Figure 2 shown, the application also discloses an abnormal monitoring system based on the signal line of the ship-mounted crane, which is used to apply the above-mentioned abnormal monitoring method based on the signal line of the ship-mounted crane, comprising:

[0088] a historical data analysis module for obtaining historical load data of the ship-mounted crane, the historical load data including historical load data, historical current data and historical voltage data; and drawing a load-current voltage curve of the ship-mounted crane according to the historical load data;

[0089] a data acquisition module for real-time acquisition of working parameters of the signal line of the ship-mounted crane, the working parameters including current data, voltage data, temperature data and vibration data;

[0090] a predicted data determination module for obtaining real-time load data of the ship-mounted crane, determining predicted current and predicted voltage of the ship-mounted crane based on the load-current voltage curve according to the real-time load data;

[0091] an abnormality judgment module for comparing the predicted current with the current data, comparing the predicted voltage with the voltage data, and preliminarily judging whether the signal line of the ship-mounted crane is abnormal according to the comparison result; if it is preliminarily judged that the signal line of the ship-mounted crane is normal, then according to the temperature data and vibration data, secondarily judging whether the signal line of the ship-mounted crane is abnormal.

[0092] The application can more accurately predict and judge the abnormal situation of the signal line of the ship-mounted crane by combining historical data analysis and real-time data acquisition. Early warning is realized, potential problems can be found in time before the abnormality occurs by predicting the changes of current and voltage, so as to avoid possible accidents. The maintenance process is optimized, unnecessary maintenance work can be reduced, maintenance efficiency is improved, and maintenance cost is reduced through the secondary judgment mechanism. The reliability of the system is enhanced, the comprehensiveness and accuracy of the monitoring results are ensured by comprehensively analyzing various working parameters, so as to ensure the safe and stable operation of the ship-mounted crane.

[0093] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application and not to limit them, although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that: it can still modify or equivalently replace the technical solutions of the present application, and these modifications or equivalent replacements cannot make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present application.

[0094] The system provided by the above examples is only illustrated by the division of the above functional modules, in actual application, the above functions can be completed by different functional modules according to needs, that is, the modules or steps in the embodiments of the present application are further decomposed or combined, for example, the modules of the above examples can be combined into one module, or can be further split into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present application are only for distinguishing each module or step, and should not be considered as an improper limitation of the present application.

[0095] Those skilled in the art should be able to realize that the modules, method steps of each example described in combination with the embodiments disclosed in the present application can be realized by electronic hardware, computer software or combination of both. The programs corresponding to the software modules and method steps can be placed in random access memory (RAM), memory, read only memory (ROM), electrically erasable programmable ROM, register, hard disk, removable disk, CD-ROM or any other form of storage medium known in the art. In order to clearly illustrate the interchangeability of electronic hardware and software, the composition and steps of each example have been described in the above description. Whether the functions are executed by electronic hardware or software depends on the specific application and design constraints of the technical solutions. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

Claims

1. A method for monitoring abnormality of a ship-borne crane signal line, characterized in that: include: Acquiring historical load data of the ship-borne crane, wherein the historical load data includes historical load data, historical current data, and historical voltage data; drawing a load-current-voltage curve of the ship-borne crane according to the historical load data; Real-time collection of operating parameters of the ship-borne crane signal line, including current data, voltage data, temperature data, and vibration data; acquiring real-time load data of the shipborne crane, and determining a predicted current and a predicted voltage of the shipborne crane according to the real-time load data based on the load-current-voltage curve; comparing the predicted current with the current data, and comparing the predicted voltage with the voltage data, and preliminarily determining whether the signal line of the shipborne crane is abnormal based on the comparison results; If it is preliminarily determined that the signal line of the shipborne crane is normal, a secondary determination is made as to whether the signal line of the shipborne crane is abnormal based on the temperature data and the vibration data; Comparing the predicted current with the current data, and if the predicted current is the same as the current data, determining that there is no abnormality in the current data; If the predicted current is different from the current data, dividing the predicted current and the current data into nodes, and determining the current similarity between the predicted current and the current data according to the divided nodes; The current similarity is determined according to the following formula: ； Among them, SI represents the current similarity, represents the predicted current of the i-th node, represents the current data of the i-th node, and n represents the total number of nodes; Comparing the predicted voltage with the voltage data, and if the predicted voltage is the same as the voltage data, determining that there is no abnormality in the voltage data; If the predicted voltage is different from the voltage data, dividing the predicted voltage and the voltage data into nodes, and determining voltage similarity between the predicted voltage and the voltage data according to the divided nodes; The voltage similarity is determined according to the following formula: ； Among them, SV represents voltage similarity, represents the predicted voltage of the i-th node, represents the voltage data of the i-th node, and n represents the total number of nodes; Based on the comparison results, it is preliminarily determined whether the signal line of the ship-borne crane is abnormal, including: When it is determined that there is no abnormality in the current data and the voltage data, it is preliminarily determined that there is no abnormality in the signal line of the ship-borne crane; If the predicted current is different from the current data, and the predicted voltage is different from the voltage data, determining a comprehensive similarity based on the current similarity and the voltage similarity, and preliminarily determining whether the signal line of the shipborne crane is abnormal based on the comprehensive similarity; If the comprehensive similarity is greater than or equal to the preset similarity, it is preliminarily determined that there is no abnormality in the signal line of the shipborne crane; If the comprehensive similarity is less than the preset similarity, it is preliminarily determined that there is an abnormality in the signal line of the shipborne crane.

2. The abnormality monitoring method based on the ship-borne crane signal line according to claim 1 is characterized in that: Drawing a load-current-voltage curve of the ship-borne crane according to the historical load data includes: The time period of the historical current data and historical voltage data is the full cycle of the ship-borne crane completing each load transportation; The historical load data are matched one-to-one with the historical current data and the historical voltage data, and a load-current-voltage curve corresponding to each historical load data is drawn.

3. The abnormality monitoring method based on the ship-borne crane signal line according to claim 1 is characterized in that: The working parameters are collected by the sensor assembly; The sensor assembly includes: a current sensor installed at the power input terminal and the load terminal of the ship-borne crane, and the current sensor is used to detect the current data of the signal line; A voltage sensor is installed at the power input terminal and the load terminal of the ship-borne crane, and is used to detect voltage data of the signal line; A temperature sensor is installed around the signal line of the ship-borne crane, and is used to detect temperature data of the environment around the signal line; The vibration sensor is installed at the connection of the signal line of the ship-borne crane, and is used to detect vibration data of the signal line.

4. The abnormality monitoring method based on the ship-borne crane signal line according to claim 1 is characterized in that: Determining a predicted current and a predicted voltage of the shipborne crane based on the load-current-voltage curve and according to the real-time load data includes: Filtering the historical load data based on the real-time load data, and determining a load-current-voltage curve corresponding to when the real-time load data is consistent with the historical load data; Based on the screened load-current-voltage curve, a predicted current and a predicted voltage corresponding to the real-time load data are determined.

5. The abnormality monitoring method based on the ship-borne crane signal line according to claim 1 is characterized in that: Secondarily determining whether a signal line of the shipborne crane is abnormal based on the temperature data and the vibration data includes: Comparing the temperature data with a preset temperature threshold, and if the temperature data are both less than or equal to the preset temperature threshold, determining that the temperature data is normal; If there is temperature data greater than the preset temperature threshold, determine the total time when the temperature data is greater than the preset temperature threshold, compare the total time with the preset time, and if the total time is less than or equal to the preset time, determine that the temperature data is normal; If the total time is greater than the preset time, it is determined that the temperature data is abnormal; When it is determined that the temperature data is normal, the second judgment is made that the signal circuit of the ship-borne crane is normal; When it is determined that the temperature data is abnormal, it is secondarily determined that the signal line of the ship-borne crane is abnormal.

6. The abnormality monitoring method based on the ship-borne crane signal line according to claim 5 is characterized in that: Secondarily determining whether a signal line of the shipborne crane is abnormal based on the temperature data and the vibration data includes: The vibration data includes vibration frequency and vibration amplitude; comparing the vibration frequency with a preset vibration frequency, and comparing the vibration amplitude with a preset vibration amplitude; If the vibration frequency is less than or equal to the preset vibration frequency, and the vibration amplitude is less than or equal to the preset vibration amplitude, it is determined that there is no abnormality in the signal line of the shipborne crane; otherwise, it is determined that there is an abnormality in the signal line of the shipborne crane.

7. A ship-borne crane signal line-based abnormality monitoring system, used to apply the ship-borne crane signal line-based abnormality monitoring method according to any one of claims 1 to 6, characterized in that: include: A historical data analysis module is used to obtain historical load data of the ship-borne crane, the historical load data including historical load data, historical current data and historical voltage data; and draw a load-current-voltage curve of the ship-borne crane based on the historical load data; A data acquisition module is used to collect operating parameters of the ship-borne crane signal line in real time, the operating parameters including current data, voltage data, temperature data and vibration data; a predicted data determination module, configured to obtain real-time load data of the shipborne crane, and determine a predicted current and a predicted voltage of the shipborne crane according to the real-time load data based on the load-current-voltage curve; an abnormality judgment module, configured to compare the predicted current with the current data, and to compare the predicted voltage with the voltage data, and to preliminarily judge whether the signal line of the shipborne crane is abnormal based on the comparison results; If it is preliminarily determined that the signal line of the shipborne crane is normal, a secondary determination is made as to whether the signal line of the shipborne crane is abnormal based on the temperature data and the vibration data.

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