Method and device for identifying running state of crane pipe circuit

Abstract

The invention discloses a crane pipe circuit operation state identification method and device. The method comprises the following steps: establishing an operation state evaluation model based on monitoring data of a crane pipe circuit in advance; in the running process of the crane pipe circuit, running parameters of the crane pipe circuit are monitored in real time; and determining the running state of the crane pipe circuit by using the running parameters and the running state evaluation model. By means of the scheme, the running state of the crane pipe circuit can be monitored in real time, potential faults can be found and processed in time, and production safety and efficiency are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial automation and equipment monitoring, and in particular to a method and a device for identifying the operating state of a crane circuit. Background Art

[0002] In modern industrial production processes, crane pipes are a key material conveying equipment, and their stability and reliability are crucial to ensuring the continuity and safety of the production process. Crane pipes use their flexible arm pipe system to load and unload materials from containers such as storage tanks, transport vehicles or ships. However, crane pipe motors, limit switches and other circuit components may fail during long-term operation due to wear, aging or external environmental factors. These failures will not only cause material leakage and equipment damage, but may also cause safety accidents, which will have a serious impact on personnel safety and corporate economic benefits.

[0003] At present, the monitoring and fault diagnosis of crane pipes mainly rely on regular manual inspections and simple sensor monitoring. These methods have problems such as slow response, low accuracy, and inability to monitor and diagnose in real time. Especially under complex working conditions, traditional monitoring methods are difficult to meet the needs of effective prediction and diagnosis of crane pipe operating status. Summary of the invention

[0004] The present invention provides a method and device for identifying the operating status of a crane circuit, so as to monitor the operating status of the crane circuit in real time, discover and handle potential faults in time, and ensure production safety and efficiency.

[0005] To this end, the present invention provides the following technical solutions: A method for identifying an operating state of a crane circuit, the method comprising: Establish an operation status assessment model in advance based on the monitoring data of the crane circuit; During the operation of the crane circuit, the operation parameters of the crane circuit are monitored in real time; The operating state of the crane circuit is determined using the operating parameters and the operating state evaluation model.

[0006] Optionally, establishing an operation status evaluation model based on monitoring data of the crane circuit includes: Obtain monitoring data of crane circuit; Determine the fault characteristic parameters of the crane circuit according to the monitoring data, wherein the fault characteristic parameters include any one or more of the following: the limit switch state of the crane circuit, the motor operating current, voltage and power; Normalizing the fault characteristic parameters; An operation status assessment model is established based on the normalized fault characteristic parameters.

[0007] Optionally, the normalizing the fault characteristic parameters includes: normalizing the fault characteristic parameters using a relative degradation degree formula.

[0008] Optionally, establishing an operation status assessment model according to the normalized fault characteristic parameters includes: The operation state matrix of the crane circuit is established according to the normalized fault characteristic parameters; Determining the weight of each fault symptom in the crane circuit operation state matrix; A connection number calculation formula for the operating state is determined according to the weight and the crane circuit operating state matrix, and the connection number calculation formula is used as an operating state evaluation model.

[0009] Optionally, the establishing of the crane circuit operation state matrix includes: Determine a membership function for each state, wherein the states include: healthy, sub-healthy, abnormal, and faulty; According to the membership function, the crane circuit operation state matrix is ​​established. :

[0010] in, For the The first fault Item malfunction symptoms; They are the membership degrees of health, sub-health, abnormality and failure respectively.

[0011] Optionally, determining the weight of each fault symptom in the crane circuit operation state matrix includes: determining the weight of each fault symptom in the crane circuit operation state matrix using an entropy weight method.

[0012] Optionally, the determining the operation state of the crane circuit by using the operation parameter and the operation state evaluation model includes: Inputting the operating parameters into the operating state evaluation model to calculate the value of the connection number of each state; The operating state of the crane circuit is determined according to the value of the connection number.

[0013] A device for identifying the operating status of a crane circuit, the device comprising: A model building module is used to build an operation status evaluation model based on the monitoring data of the crane circuit in advance; The operating parameter acquisition module is used to monitor the operating parameters of the crane circuit in real time during the operation of the crane circuit; The state identification module is used to determine the operation state of the crane circuit by using the operation parameters and the operation state evaluation model.

[0014] Optionally, the model building module includes: A data acquisition unit, used to obtain monitoring data of the crane circuit; A feature extraction unit, used to determine the fault characteristic parameters of the crane circuit according to the monitoring data, wherein the fault characteristic parameters include any one or more of the following: the limit switch state of the crane circuit, the motor operating current, voltage and power; A data processing unit, used for normalizing the fault characteristic parameters; The model building unit is used to build an operation status evaluation model according to the normalized fault characteristic parameters.

[0015] Optionally, the model building unit includes: A matrix establishment subunit is used to establish a crane circuit operation state matrix according to normalized fault characteristic parameters; A weight determination subunit, used to determine the weight of each fault symptom in the crane circuit operation state matrix; The connection number calculation subunit is used to determine the connection number calculation formula of the operating state according to the weight and the crane circuit operating state matrix, and use the connection number calculation formula as the operating state evaluation model.

[0016] A computer-readable storage medium stores a computer program, which executes the steps of the crane circuit operation status identification method when the computer program is executed by a processor.

[0017] The method and device for identifying the operation status of a crane circuit provided by the present invention establish an operation status evaluation model based on the monitoring data of the crane circuit in advance, monitor the operation parameters of the crane circuit in real time during the operation of the crane circuit, and determine the operation status of the crane circuit using the monitored current operation parameters and the operation status evaluation model. By using the scheme of the present invention, the operation status of the crane circuit can be accurately identified, the real-time monitoring of the crane circuit can be realized, potential faults can be discovered and handled in time, and production safety and efficiency can be guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 is a flow chart for establishing an operation status evaluation model in an embodiment of the present invention; Figure 2 is a schematic diagram of a membership function curve in an embodiment of the present invention; Figure 3 This is a flow chart of a method for identifying the operating status of a crane circuit according to an embodiment of the present invention; Figure 4 This is a structural schematic diagram of a device for identifying the operating status of a crane circuit according to an embodiment of the present invention; Figure 5 It is a structural schematic diagram of a model building module in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0021] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0022] In view of the problem that traditional monitoring methods are difficult to meet the needs of effective prediction and diagnosis of the operating status of the crane pipe under complex working conditions, an embodiment of the present invention provides a method and device for identifying the operating status of the crane pipe circuit, and establishes an operating status evaluation model in advance based on the monitoring data of the crane pipe circuit. During the operation of the crane pipe circuit, the operating status of the crane pipe circuit can be determined in real time by using the operating status evaluation model, thereby providing effective guarantee for the normal operation of the crane pipe.

[0023] The following first describes in detail the process of establishing the operating status assessment model.

[0024] like Figure 1 FIG. 1 is a flow chart of establishing an operation status evaluation model in an embodiment of the present invention, comprising the following steps: Step 101, obtaining monitoring data of the crane circuit.

[0025] The monitoring data may include operating parameters of the crane circuit and actual monitoring data, such as voltage, current and other data.

[0026] Step 102: determining fault characteristic parameters of the crane circuit according to the monitoring data.

[0027] Specifically, the different operating states of the crane circuit can be summarized by analyzing the crane monitoring data. For example, in some embodiments, the operating states can be divided into the following four types: (1) Healthy status: The equipment parameter values ​​are within the rated range, the equipment operates normally, and the probability of failure is extremely low.

[0028] (2) Sub-health status: The equipment parameter values ​​deviate from the rated values, and the equipment is not operating normally, which requires attention and monitoring.

[0029] (3) Abnormal status: The equipment parameter value deviates significantly from the rated value and fluctuates. The equipment is in a high-risk state and the probability of failure is very high. It needs to be monitored more closely and repaired as soon as possible.

[0030] (4) Fault status: The equipment has failed and must be repaired.

[0031] Of course, in specific implementation, it is not limited to the above-mentioned classification method of operating status types. According to the needs of actual applications, there may be other classification methods, for example, dividing the operating status into normal and abnormal types.

[0032] The following description uses the above four status types as examples.

[0033] For different operating states, some relevant parameters of the crane circuit usually change. For example, when a limit switch has a line fault, its current and voltage will change. Therefore, the current and voltage of the limit switch can be used as a sign of its fault. In an embodiment of the present invention, the fault characteristic parameters may include but are not limited to any one or more of the following: the limit switch state of the crane circuit, the motor operating current, voltage and power, etc.

[0034] Step 103: normalize the fault characteristic parameters.

[0035] In a non-limiting embodiment, the fault characteristic parameters may be normalized using a relative degradation degree formula, for example, in the following ways: (1) The larger the index, the better the type. The relative degradation degree is:

[0036] (2) The smaller the index, the better the type. The relative degradation degree is:

[0037] (3) Intermediate indicators, relative degradation degree:

[0038] in, is the relative degradation degree of the fault symptom; , is the limit value (endpoint value) of each corresponding index interval, , For an intermediate indicator, take the endpoint value of the best interval value.

[0039] Step 104: Establish an operation status assessment model based on the normalized fault characteristic parameters.

[0040] A non-limiting embodiment of establishing an operation status assessment model may include the following steps: (1) Establish the operation state matrix of the crane circuit according to the normalized fault characteristic parameters; (2) determining the weight of each fault symptom in the crane circuit operation status matrix; (3) Determine a connection number calculation formula for the operating state according to the weight and the crane circuit operating state matrix, and use the connection number calculation formula as an operating state evaluation model.

[0041] Among them, the crane circuit operation state matrix can be established by using a membership function, and commonly used membership function types include matrix type, semi-trapezoidal and trapezoidal distribution, k-order parabola type, normal distribution type, triangle and ridge type. The ridge type membership function is known for its wide main value interval and smooth transition, and is suitable for occasions where quantitative calculations are required. For this reason, in the embodiment of the present invention, the ridge type membership function can be preferentially selected.

[0042] Taking the above four types of operating states as an example, the membership function curves corresponding to each state are as follows: Figure 2 shown.

[0043] In healthy state, the membership function is:

[0044] In sub-health state, the membership function is:

[0045] In abnormal state, the membership function is:

[0046] In the fault state, the membership function is:

[0047] Using the above membership function, the operating state matrix is ​​established for the crane circuit :

[0048] in, For the The first fault Item malfunction symptoms; They are the membership degrees of health, sub-health, abnormality and failure respectively.

[0049] In some embodiments, the Entropy Weight Method (EWM) can be used to determine the weight of each fault sign. The Entropy Weight Method is a method for determining the weight of each indicator in a multi-indicator evaluation system. The core idea is to measure the amount of information of each indicator according to the size of the information entropy, and use this to determine the importance of the indicator. The smaller the entropy value, the greater the amount of information, and the higher the weight should be. This method can effectively avoid the interference of subjective factors, making the determination of weights more scientific and objective.

[0050] Information Entropy :

[0051] in, is the number of data, For the If a data does not appear, its probability is set to 0.

[0052] Weight of fault symptoms :

[0053] in, For the The weight of each fault symptom, For the The information entropy of a fault symptom.

[0054] In the embodiment of the present invention, an accurate operation status evaluation model can be constructed by the connection number equation. The connection number is a structural function used to describe the certainty and uncertainty in an object and their interaction. It usually consists of two parts: the certainty measure and the uncertainty measure of the object relative to a reference object.

[0055] The details are as follows:

[0056] in, is the number of contacts in the running state; is the weight of the fault symptom; is the operating state matrix; is the coefficient of the connection number.

[0057] During the operation of the crane pipe circuit, the above-mentioned operation status evaluation model can be used to identify the operation status of the crane pipe circuit, timely discover potential faults and abnormalities, and provide effective guarantee for the normal operation of the crane pipe.

[0058] like Figure 3FIG. 1 is a flow chart of a method for identifying the operating state of a crane circuit according to an embodiment of the present invention, comprising the following steps: Step 301, during the operation of the crane circuit, real-time monitoring of the crane circuit operation parameters.

[0059] The crane circuit operating parameters may include but are not limited to any one or more of the following: current, voltage and power when the crane circuit limit switch and the motor are working.

[0060] Step 302: Determine the operating state of the crane circuit by using the operating parameters and an operating state evaluation model established in advance based on monitoring data of the crane circuit.

[0061] Specifically, the operating parameters are input into the operating status evaluation model to calculate the value of the connection number of each state; and the operating state of the crane circuit is determined according to the value of the connection number.

[0062] For example, when the range of the contact number is [-1,1], according to the four operating states of health, sub-health, abnormality and fault, the contact number is divided into four intervals (0.5,1], (0,0.5], (-0.5,0], [-1, -0.5], corresponding to the health, sub-health, abnormality and fault states respectively.

[0063] For the mth operating state, the corresponding contact number is calculated based on the current operating parameters. :

[0064] when When it is in the interval [-1, -0.5], it is determined that the crane circuit is in a fault state.

[0065] Furthermore, in some embodiments, the monitored operating status of the crane circuit can be displayed in real time. Once the operating status of the crane circuit is monitored to be any state other than the healthy state, an alarm can be triggered (for example, relevant operators can be notified through sound and light alarms, text messages or cloud platform push methods) to ensure timely response; at the same time, the status information (for example, including timestamps, status flags, etc.) can also be recorded in a log file or database to provide corresponding data support for subsequent problem troubleshooting and analysis.

[0066] Accordingly, an embodiment of the present invention further provides a device for identifying the operation status of a crane circuit, such as Figure 4 Shown is a structural schematic diagram of the device.

[0067] The crane circuit operation state identification device 400 includes the following modules: A model building module 401 is used to build an operation status evaluation model 40 based on monitoring data of the crane circuit in advance; The operating parameter acquisition module 402 is used to monitor the operating parameters of the crane circuit in real time during the operation of the crane circuit; The state identification module 403 is used to determine the operation state of the crane circuit by using the operation parameters and the operation state evaluation model.

[0068] In some embodiments, the crane circuit operation status identification device 400 may further include: a display module and / or an abnormality processing module. The display module is used to display the operation status of the crane circuit identified by the status identification module 403 in real time.

[0069] The exception handling module is used to trigger an alarm and record the exception information in a log file or database when the state identification module 403 identifies that the operation state of the crane circuit is any state other than the healthy state.

[0070] Figure 5 A structural schematic diagram of a model building module in an embodiment of the present invention is shown.

[0071] The model building module 401 includes the following units: The data acquisition unit 411 is used to obtain monitoring data of the crane circuit; A feature extraction unit 412 is used to determine the fault characteristic parameters of the crane circuit according to the monitoring data, wherein the fault characteristic parameters include any one or more of the following: the limit switch state of the crane circuit, the motor operating current, voltage and power; A data processing unit 413 is used to perform normalization processing on the fault characteristic parameters; The model building unit 414 is used to build an operation status evaluation model according to the normalized fault characteristic parameters.

[0072] The model building unit 414 may include the following subunits: A matrix establishment subunit is used to establish a crane circuit operation state matrix according to normalized fault characteristic parameters; A weight determination subunit, used to determine the weight of each fault symptom in the crane circuit operation state matrix; The connection number calculation subunit is used to determine the connection number calculation formula of the operating state according to the weight and the crane circuit operating state matrix, and use the connection number calculation formula as the operating state evaluation model.

[0073] The specific implementation methods of the above modules, units, and sub-units can refer to the corresponding descriptions in the previous embodiments of the method of the present invention, and will not be repeated here.

[0074] The method and device for identifying the operating status of a crane circuit provided in an embodiment of the present invention establish an operating status evaluation model through precise data analysis and status evaluation. The model can effectively predict and identify potential problems of the crane circuit, thereby taking preventive measures to avoid the occurrence of faults and ensure the stable operation of the system.

[0075] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0076] The present invention also provides a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and the computer program can be executed when it is run. Figure 1 or Figure 3 The storage medium may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc. The storage medium may also include a non-volatile memory (non-volatile) or a non-transitory memory, etc.

[0077] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, a computer, a server or a data provider to another website site, a computer, a server or a data provider by wired or wireless means.

[0078] The embodiments of the present invention are described in detail above. The present invention is described in detail using specific implementation methods herein. The description of the above embodiments is only used to help understand the method and system of the present invention. It is only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should belong to the scope of protection of the present invention, and the content of this specification should not be understood as limiting the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for identifying the operating status of a crane circuit, characterized in that: The method comprises: Establish an operation status assessment model in advance based on the monitoring data of the crane circuit; During the operation of the crane circuit, the operation parameters of the crane circuit are monitored in real time; Determine the operation state of the crane circuit by using the operation parameters and the operation state evaluation model; The establishment of the operation status evaluation model based on the monitoring data of the crane circuit includes: Obtain monitoring data of crane circuit; Determine the fault characteristic parameters of the crane circuit according to the monitoring data, wherein the fault characteristic parameters include any one or more of the following: the limit switch state of the crane circuit, the motor operating current, voltage and power; Normalizing the fault characteristic parameters; An operation status assessment model is established based on the normalized fault characteristic parameters.

2. The method for identifying the operation status of a crane circuit according to claim 1, characterized in that: The normalizing process of the fault characteristic parameters comprises: The fault characteristic parameters are normalized using a relative degradation degree formula.

3. The method for identifying the operation status of a crane circuit according to claim 1, characterized in that: The step of establishing the operation status evaluation model according to the normalized fault characteristic parameters comprises: The operation state matrix of the crane circuit is established according to the normalized fault characteristic parameters; Determining the weight of each fault symptom in the crane circuit operation state matrix; A connection number calculation formula for the operating state is determined according to the weight and the crane circuit operating state matrix, and the connection number calculation formula is used as an operating state evaluation model.

4. The method for identifying the operation status of a crane circuit according to claim 3, characterized in that: The establishment of the crane circuit operation state matrix comprises: Determine a membership function for each state, wherein the states include: healthy, sub-healthy, abnormal, and faulty; According to the membership function, the crane circuit operation state matrix is ​​established. : in, For the The first fault Item malfunction symptoms; They are the membership degrees of health, sub-health, abnormality and failure respectively.

5. The method for identifying the operation status of a crane circuit according to claim 4, characterized in that: The step of determining the weight of each fault symptom in the crane circuit operation state matrix includes: The entropy weight method is used to determine the weight of each fault symptom in the crane circuit operation state matrix.

6. The method for identifying the operation status of a crane circuit according to claim 3, characterized in that: Determining the operation state of the crane circuit by using the operation parameters and the operation state evaluation model includes: Inputting the operating parameters into the operating state evaluation model to calculate the value of the connection number of each state; The operating state of the crane circuit is determined according to the value of the connection number.

7. A device for identifying the operation status of a crane circuit, characterized in that: The device comprises: A model building module is used to build an operation status evaluation model based on the monitoring data of the crane circuit in advance; The operating parameter acquisition module is used to monitor the operating parameters of the crane circuit in real time during the operation of the crane circuit; A state identification module, used to determine the operation state of the crane circuit by using the operation parameters and the operation state evaluation model; The model building module includes: A data acquisition unit, used to obtain monitoring data of the crane circuit; A feature extraction unit, used to determine the fault characteristic parameters of the crane circuit according to the monitoring data, wherein the fault characteristic parameters include any one or more of the following: the limit switch state of the crane circuit, the motor operating current, voltage and power; A data processing unit, used for normalizing the fault characteristic parameters; The model building unit is used to build an operation status evaluation model according to the normalized fault characteristic parameters.

8. The device for identifying the operation status of a crane circuit according to claim 7, characterized in that: The model building unit comprises: A matrix establishment subunit is used to establish a crane circuit operation state matrix according to normalized fault characteristic parameters; A weight determination subunit, used to determine the weight of each fault symptom in the crane circuit operation state matrix; The connection number calculation subunit is used to determine the connection number calculation formula of the operating state according to the weight and the crane circuit operating state matrix, and use the connection number calculation formula as the operating state evaluation model.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for identifying the operating status of a crane circuit according to any one of claims 1 to 6 are executed.

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