Relay fault early warning method and system

Abstract

The invention relates to the technical field of relay fault early warning, and discloses a relay fault early warning method and system, and the system comprises a relay operation state detection module, a relay fault analysis module, and a relay fault early warning module. The relay coil fault state digital analysis is carried out by accurately acquiring a relay power-on state coil magnetic field intensity parameter and a scientifically preset relay power-on state coil normal magnetic field intensity interval through a magnetic field intensity sensor, so that the orderly and scientific judgment of the coil fault in the relay fault state is realized; relay contact voltage parameters are collected through the voltage sensor, and the fault problem of the relay contact reed is accurately detected in combination with voltage numerical analysis, so that scientific and refined fault type diagnosis of a coil, a mechanical structure and the contact reed of the relay in a fault state is realized, and the operation safety and reliability of the relay are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of relay fault early warning, and in particular to a relay fault early warning method and system. Background Art

[0002] A relay is an electrical control device. When the change in input quantity reaches the specified requirement, it causes a predetermined step change in the controlled quantity in the electrical output circuit. Relays are usually used in automated control circuits. They are actually an "automatic switch" that uses a small current to control the operation of a large current. The control circuit of the relay controls the normal operation of the working circuit. The relay plays the role of automatic adjustment, safety protection, and circuit conversion in the circuit. Relay failures include coil failures, contact reed failures, and mechanical failures. However, the existing relay use process cannot realize online identification of relay failure types, nor can it realize refined feedback of relay failure information.

[0003] A Chinese invention patent with announcement number CN104483588B discloses a method for diagnosing electrical faults at a relay control end, which includes receiving a control instruction sent by a battery management system; measuring the low-end voltage at the relay control end; comparing the threshold voltage and the low-end voltage to obtain a low-end voltage signal; judging whether there is an electrical fault at the relay control end based on the control instruction and the low-end voltage signal; and judging whether the relay control end is working normally by combining the control instruction and the low-end voltage signal. The above technical scheme cannot diagnose the specific fault type of the relay in a refined manner, thereby reducing the applicability of relay fault diagnosis. Summary of the invention

[0004] 1. Technical issues to be resolved In order to solve the problem that the above-mentioned existing relay usage process cannot realize online identification of relay fault types and cannot realize refined feedback of relay fault information, the purpose of dynamically detecting relay operating status, accurately detecting relay coil faults, scientifically identifying relay mechanical faults, intelligently judging relay contact faults, intelligently pushing relay fault diagnosis results, and improving the intelligence and applicability of relays is achieved.

[0005] (II) Technical solution The present invention is implemented by the following technical solution: a relay fault early warning method, the method comprising the following steps: S1, collect the contact voltage data of the relay power-on state; S2, performing a relay fault operation state judgment process according to the relay power-on state contact voltage data, generating and outputting relay operation state judgment data, and directly ending this relay fault diagnosis operation when it is in a normal state; S3, when it is in a fault state, collect the magnetic field strength data of the coil in the power-on state of the relay; S4, performing relay coil fault state analysis processing according to the relay power-on state coil magnetic field strength data and the relay power-on state coil normal magnetic field strength interval, and generating relay coil fault analysis data; S5, collecting the image data of the opening and closing state of the relay mechanical component and performing a fault state identification process of the relay mechanical component with the image data of the normal opening and closing state of the relay mechanical component to generate relay mechanical component fault identification data; S6, collecting the contact voltage data of the relay contacts to perform fault state identification processing of the relay contacts, and generating relay contact fault identification data; S7, construct relay fault diagnosis result data and execute relay fault diagnosis result push operation.

[0006] Preferably, the operation steps of collecting the contact voltage data of the relay power-on state are as follows: S11. Collect the voltage parameters between the two contact springs connected to the armature when the relay is powered on online through the voltage sensor, and generate the contact voltage data of the relay when it is powered on ,in The unit is volts.

[0007] Preferably, the fault operation state of the relay is judged based on the contact voltage data of the relay power-on state, and the relay operation state judgment data is generated and output. When it is in a normal state, the operation steps of directly ending the relay fault diagnosis operation are as follows: S21, the contact voltage data of the relay power-on state Perform numerical analysis of the contact reed voltage when the relay is powered on, and generate relay operation status judgment data based on the numerical analysis results of the contact reed voltage when the relay is powered on ; when Not equal to zero, indicating that the two contact springs and the working circuit are normally energized when the relay is powered on, and the relay is working normally, then the relay operation status judgment data is output. It is in normal state, and the relay fault diagnosis operation is ended directly at this time; when If it is equal to zero, it means that the two contact springs and the working circuit are not normally energized when the relay is powered on, and the relay working state is abnormal, then the relay operating state judgment data is output. is an abnormal state; S22, judging data on the relay operation status Output data.

[0008] Preferably, when the fault state occurs, the operation steps for collecting the magnetic field strength data of the coil in the power-on state of the relay are as follows: S31, when the relay operation status judgment data When the relay is in an abnormal state, the magnetic field strength sensor collects the magnetic field strength parameters generated by the coil when the relay is powered on, and generates the magnetic field strength data of the coil when the relay is powered on. ,in The unit is ampere / meter.

[0009] Preferably, the relay coil fault state analysis processing is performed according to the relay power-on state coil magnetic field strength data and the relay power-on state coil normal magnetic field strength interval, and the operation steps of generating the relay coil fault analysis data are as follows: S41. Establish the normal magnetic field strength range of the coil when the relay is powered on ,in and Respectively represent the normal magnetic field strength range of the coil in the power-on state of the relay The minimum value of the normal magnetic field strength of the coil when the relay is powered on and the maximum value of the normal magnetic field strength of the coil when the relay is powered on, where and The units are all ampere / meter; the normal magnetic field strength range of the coil in the relay power-on state represents the range of magnetic field strength values ​​generated by the coil in the normal working state when the relay is powered on; S42, the magnetic field strength data of the relay power-on state coil The normal magnetic field strength interval of the coil with the relay energized The minimum value of the normal magnetic field strength of the coil when the relay is powered on The maximum value of the normal magnetic field strength of the coil in the relay energized state Perform magnetic field strength numerical comparison and generate relay coil fault analysis data based on the magnetic field strength numerical comparison results ; when ∈ , indicating that the magnetic field strength generated by the relay coil when it is powered on meets the magnetic field strength requirements specified under normal working conditions, then the relay coil fault analysis data is output is the normal state; when ∉ , indicating that the magnetic field strength generated by the relay coil when it is powered on does not meet the magnetic field strength requirements specified under normal working conditions, then the relay coil fault analysis data is output It is a fault state.

[0010] Preferably, the steps of collecting the relay mechanical component opening and closing state image data and performing relay mechanical component fault state identification processing with the relay mechanical component normal opening and closing state image data to generate relay mechanical component fault identification data are as follows: S51, collecting image information of the non-working state and the working state of the mechanical component of the control contact spring and the working circuit in the relay through online shooting by the cloud camera, and generating an image data matrix of the opening and closing state of the relay mechanical component , ;in Indicates the collected Image data of the opening and closing status of the relay mechanical components, Indicates the maximum number of images of the open and closed states of the relay mechanical components, including springs, supports and armatures; S52, establish the image data matrix of the normal opening and closing state of the relay mechanical component , ;in Indicates Image data of the normal opening and closing status of the relay mechanical components. Indicates the maximum value of the number of images of the normal opening and closing state of the mechanical component of the relay; the image data of the normal opening and closing state of the mechanical component of the relay represents the image information of the non-working state and the working state of the mechanical component in the relay that controls the opening and closing of the contact reed and the working circuit in a non-fault state; S53, the relay mechanical component opening and closing state image data matrix Image data of the opening and closing status of the relay mechanical component described in Image data matrix with the normal opening and closing status of the relay mechanical components Image data of normal opening and closing state of the relay mechanical component described in Perform image feature matching and generate relay mechanical component fault identification data based on the image feature matching results , execute to generate the relay mechanical component fault identification data The specific steps are as follows: S531, initialization parameters, update the number of crow populations for mechanical fault analysis, maximum number of iterations, and flight distance ; S532, initializing the mechanical fault analysis crow individual in the relay mechanical component normal open and close state image data matrix The initial position and memory in the search space, Mechanical failure analysis crows are randomly distributed in the space dimension Image data matrix of the normal opening and closing state of the relay mechanical components In the search space; in the first iteration, it is assumed that the mechanical fault analysis crow individual in the relay mechanical component is in the normal open and close state image data matrix Search the search space for the image data of the open and closed state of the relay mechanical component Matching the normal open and close state image data of the relay mechanical component Food and hidden in the initial location; S533, calculating the individual fitness value of each mechanical fault analysis crow, that is, calculating the image data of the opening and closing state of the relay mechanical component Image data matrix with the normal opening and closing status of the relay mechanical components The normal open and closed state image data of the relay mechanical component in the search space The fitness value of S534, update the mechanical fault analysis crow individual in the relay mechanical component normal open and close state image data matrix The position in the search space, the formula for updating the individual position of the crow in mechanical failure analysis is as follows: ,in Indicates Iteration Mechanical Failure Analysis Crow Individual Image data matrix of the normal open and closed state of the relay mechanical assembly The new position in the search space, Indicates Iteration Mechanical Failure Analysis Crow Individual Image data matrix of the normal open and closed state of the relay mechanical assembly The position in the search space, represents a random number uniformly distributed between

[01] , Indicates Iteration Mechanical Failure Analysis Crow Individual Image data matrix of the normal open and closed state of the relay mechanical assembly The flight distance in the search space, Indicates Iteration Mechanical Failure Analysis Crow Individual Image data matrix of the normal open and closed state of the relay mechanical assembly The food hiding location in the search space, i.e. Iteration Mechanical Failure Analysis Crow Individual Image data matrix of the normal open and closed state of the relay mechanical assembly Search the search space for the image data of the open and closed state of the relay mechanical component Matching the normal open and close state image data of the relay mechanical component location; S535, determine the feasibility of the new position, determine the feasibility of the new position of each mechanical fault analysis crow individual; if the new position of the mechanical fault analysis crow individual is feasible, the mechanical fault analysis crow individual will update its position, that is, in the normal opening and closing state image data matrix of the relay mechanical component Search the search space for the image data of the open and closed state of the relay mechanical component Matching the normal open and close state image data of the relay mechanical component , the mechanical fault analysis crow individual is updated to the matched relay mechanical component normal opening and closing state image data position; otherwise, the crow individual stays at the current position and does not move to the new position; S536, evaluate the fitness value of the new position, calculate the fitness value of each mechanical fault analysis crow's individual new position, that is, calculate the image data matrix of the normal opening and closing state of the relay mechanical component Search space for the image data of the open and closed states of the relay mechanical components Image data of the normal open and closed state of the relay mechanical assembly with the new position The fitness value of S537, update memory, if the fitness value of the new position of the mechanical fault analysis crow is greater than the fitness value of the initial position in the memory, the mechanical fault analysis crow updates its memory through the new position, otherwise it does not update its memory; that is, in the normal opening and closing state image data matrix of the relay mechanical component Search the search space for the image data of the open and closed state of the relay mechanical component The image data of the normal opening and closing state of the relay mechanical component with the largest fitness value ; S538: When the maximum number of iterations is met, output the image data of the opening and closing state of the relay mechanical component Image data of the normal opening and closing status of the relay mechanical components The image feature matching results are used to generate relay mechanical component fault identification data. ; when and If all image features are matched successfully, it means that there is no fault problem in the relay mechanical component, and the relay mechanical component fault identification data is output. is the normal state; when and If the image features are not completely matched, it means that there is a fault in the relay mechanical component, and the relay mechanical component fault identification data is output. It is a fault state.

[0011] Preferably, the steps of collecting the contact voltage data of the relay contacts to perform fault state identification processing of the relay contacts and generating relay contact fault identification data are as follows: S61, collecting voltage parameters between the two contact reeds when the relay contact reed is in contact with the working power through a voltage sensor, and generating relay contact voltage data ,in The unit of is volt; S62, based on the relay contact voltage data Compare the voltage value of the contact spring at the contact end of the working circuit with the power-on state of the relay, and generate relay contact fault identification data based on the comparison result of the voltage value of the contact spring at the contact end of the working circuit and the power-on state of the relay. ; when If it is not equal to zero, it means that the contact reed is normally energized when the relay is powered on, then the relay contact fault identification data is output. is the normal state; when If it is equal to zero, it means that the contact spring is not normally energized when the relay is powered on, then the relay contact fault identification data is output. It is a fault state.

[0012] Preferably, the steps of constructing the relay fault diagnosis result data and executing the relay fault diagnosis result push operation are as follows: S71, the relay coil fault analysis data , the relay mechanical component fault identification data , the relay contact fault identification data Combine data to generate relay fault diagnosis result data ,in ; S72, transmitting the relay fault diagnosis result data through the Internet of Things communication network Push to the electrical safety supervision platform to execute the relay fault diagnosis result push operation.

[0013] A relay fault early warning system, used to implement the relay fault early warning method, the system comprises a relay operation status detection module, a relay fault analysis module, and a relay fault early warning module; The relay operation state detection module includes a relay power-on state contact voltage parameter acquisition unit, a relay operation state judgment unit, and a relay operation state judgment result output unit; The relay power-on state contact voltage parameter acquisition unit acquires the relay power-on state contact voltage data through a voltage sensor; the relay operation state judgment unit performs relay fault operation state judgment processing according to the relay power-on state contact voltage data to generate relay operation state judgment data; the relay operation state judgment result output unit is used to output the relay operation state judgment data; The relay fault analysis module includes a relay power-on state coil magnetic field strength parameter acquisition unit, a relay power-on state coil normal magnetic field strength interval storage unit, a relay coil fault analysis unit, a relay mechanical component open and closed state image acquisition unit, a relay mechanical component normal open and closed state image storage unit, a relay mechanical component fault identification unit, a relay contact voltage acquisition unit, and a relay contact fault identification unit; The relay power-on state coil magnetic field strength parameter acquisition unit acquires relay power-on state coil magnetic field strength data through a magnetic field strength sensor; the relay power-on state coil normal magnetic field strength interval storage unit is used to store the relay power-on state coil normal magnetic field strength interval; the relay coil fault analysis unit performs relay coil fault state analysis processing according to the relay power-on state coil magnetic field strength data and the relay power-on state coil normal magnetic field strength interval, and generates relay coil fault analysis data; the relay mechanical component opening and closing state image acquisition unit acquires relay mechanical component opening and closing state image data through a cloud lens; the relay mechanical component normal opening and closing state image storage unit is used to store relay mechanical component normal opening and closing state image data; the relay mechanical component fault identification unit performs relay mechanical component fault state identification processing according to the relay mechanical component opening and closing state image data and the relay mechanical component normal opening and closing state image data, and generates relay mechanical component fault identification data; the relay contact voltage acquisition unit acquires relay contact contact voltage data through a voltage sensor; the relay contact fault identification unit is used to acquire relay contact contact voltage data to perform relay contact fault state identification processing, and generates relay contact fault identification data; The relay fault early warning module includes a relay fault diagnosis result construction unit and a relay fault diagnosis result push operation execution unit; The relay fault diagnosis result construction unit is used to construct relay fault diagnosis result data; the relay fault diagnosis result push operation execution unit executes the relay fault diagnosis result push operation based on the relay fault diagnosis result data and the electrical safety supervision platform.

[0014] (III) Beneficial effects The present invention provides a relay fault early warning method and system, which has the following beneficial effects: 1. Real-time collection of the contact voltage parameters of the relay in the energized state through the voltage sensor provides reliable data support for dynamic warning of relay faults; dynamic autonomous detection and output of the relay fault operating status are performed based on the contact voltage parameters of the relay in the energized state combined with voltage numerical analysis, realizing efficient online monitoring of the relay fault status and improving the convenience of relay use and functional diversity.

[0015] 2. Through the magnetic field strength sensor, the magnetic field strength parameters of the relay coil in the energized state are accurately obtained, and the normal magnetic field strength range of the relay coil in the energized state is scientifically preset to perform digital analysis of the relay coil fault state, so as to realize orderly and scientific judgment of the coil fault under the relay fault state, and improve the scientific nature of the relay coil fault diagnosis; through the cloud lens, the image information of the opening and closing state of the relay mechanical components is dynamically collected, combined with the intelligent recognition algorithm and the standard stored image information of the normal opening and closing state of the relay mechanical components to perform intelligent recognition of the fault state of the relay mechanical components, so as to realize accurate analysis of the fault problems of the mechanical components composed of the spring, support and armature under the relay fault state, and improve the intelligence of the relay mechanical fault diagnosis; through the voltage sensor, the contact voltage parameters of the relay contacts are collected and combined with the voltage numerical analysis, the fault problems of the relay contact reed are accurately detected, and the scientific and refined fault type diagnosis of the coil, mechanical structure and contact reed of the relay under the fault state is realized, so as to improve the safety and reliability of the relay operation.

[0016] 3. Through the combination of data based on the relay's coil, mechanical structure, and contact fault analysis parameters, the relay fault diagnosis result information is efficiently and accurately constructed, and the scientific fault type diagnosis result collection from multiple angles of the relay's coil, mechanical structure, and contacts is realized; based on the relay fault diagnosis result information combined with the electrical safety supervision platform, the relay fault diagnosis result push operation is independently and accurately executed to improve the accuracy and efficiency of relay fault status feedback. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of a module of a relay fault early warning system provided by the present invention; Figure 2 A flow chart of a relay fault early warning method provided by the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0019] The embodiments of the relay fault warning method and system are as follows: Embodiment 1: See also Figure 1 - Figure 2 , a relay fault early warning method, the method comprising the following steps: S1, collect the contact voltage data of the relay power-on state; S2, judging the fault operation state of the relay according to the contact voltage data of the relay power-on state, generating and outputting the relay operation state judgment data, and directly ending the relay fault diagnosis operation when it is in a normal state; S3, when it is in a fault state, collect the magnetic field strength data of the coil in the power-on state of the relay; S4, performing relay coil fault state analysis processing according to the relay coil magnetic field strength data in the relay power-on state and the relay coil normal magnetic field strength interval in the relay power-on state, and generating relay coil fault analysis data; S5, collecting the image data of the opening and closing state of the relay mechanical component and performing a fault state identification process of the relay mechanical component with the image data of the normal opening and closing state of the relay mechanical component to generate relay mechanical component fault identification data; S6, collecting the contact voltage data of the relay contacts to perform fault state identification processing of the relay contacts, and generating relay contact fault identification data; S7, construct relay fault diagnosis result data and execute relay fault diagnosis result push operation.

[0020] For further information, see Figure 1 - Figure 2 , the operating steps for collecting the contact voltage data of the relay power-on state are as follows: S11. Collect the voltage parameters between the two contact springs connected to the armature when the relay is powered on online through the voltage sensor, and generate the contact voltage data of the relay when it is powered on ,in The unit is volts.

[0021] The relay fault operation state judgment processing is performed based on the relay power-on state contact voltage data, and the relay operation state judgment data is generated and output. When it is in a normal state, the operation steps of directly ending this relay fault diagnosis operation are as follows: S21, contact voltage data of relay power-on state Perform numerical analysis of the contact reed voltage when the relay is powered on, and generate relay operation status judgment data based on the numerical analysis results of the contact reed voltage when the relay is powered on ; when If it is not equal to zero, it means that the two contact springs and the working circuit are normally energized when the relay is powered on, and the relay is working normally, then the relay operation status judgment data is output. It is in normal state, and the relay fault diagnosis operation is ended directly at this time; when If it is equal to zero, it means that the two contact springs and the working circuit are not normally energized when the relay is powered on, and the relay working state is abnormal, then the relay operation state judgment data is output. is an abnormal state; S22, judge the data of relay operation status Output data.

[0022] Through the relay power-on state contact voltage parameter acquisition unit, a voltage sensor is used to collect the relay power-on state contact voltage parameters in real time, providing reliable data support for dynamic warning of relay faults; the relay operation state judgment unit and the relay operation state judgment result output unit cooperate with each other, and perform dynamic autonomous detection and output of the relay fault operation state based on the relay power-on state contact voltage parameters combined with voltage numerical analysis, thereby realizing efficient online monitoring of the relay fault state and improving the convenience of relay use and functional diversity.

[0023] For further information, see Figure 1 - Figure 2 When it is in a fault state, the steps for collecting the magnetic field strength data of the coil in the energized state of the relay are as follows: S31, when the relay running state judgment data When the relay is in an abnormal state, the magnetic field strength sensor collects the magnetic field strength parameters generated by the coil when the relay is powered on, and generates the magnetic field strength data of the coil when the relay is powered on. ,in The unit is ampere / meter.

[0024] According to the relay coil magnetic field strength data and the normal magnetic field strength interval of the relay coil in the energized state, the relay coil fault state analysis is performed to generate the relay coil fault analysis data in the following steps: S41. Establish the normal magnetic field strength range of the coil when the relay is powered on ,in and Respectively represent the normal magnetic field strength range of the coil when the relay is powered on The minimum value of the normal magnetic field strength of the coil when the relay is powered on and the maximum value of the normal magnetic field strength of the coil when the relay is powered on, where and The unit is ampere / meter; the normal magnetic field strength range of the coil when the relay is powered on indicates the range of magnetic field strength generated by the coil in normal working state when the relay is powered on; S42, the coil magnetic field strength data of the relay power-on state Normal magnetic field strength range of the coil when the relay is powered on The minimum value of normal magnetic field strength of the coil when the relay is powered on The maximum value of the normal magnetic field strength of the coil when the relay is energized Perform magnetic field strength numerical comparison and generate relay coil fault analysis data based on the magnetic field strength numerical comparison results ; when ∈ , indicating that the magnetic field strength generated by the relay coil when it is powered on meets the magnetic field strength requirements specified under normal working conditions, and the relay coil fault analysis data is output is the normal state; when ∉ , indicating that the magnetic field strength generated by the relay coil when it is powered on does not meet the magnetic field strength requirements specified under normal working conditions, and the relay coil fault analysis data is output. It is a fault state.

[0025] The steps of collecting the image data of the opening and closing state of the relay mechanical component and performing the fault state identification processing of the relay mechanical component with the image data of the normal opening and closing state of the relay mechanical component to generate the fault identification data of the relay mechanical component are as follows: S51, collecting image information of the non-working state and the working state of the mechanical component of the control contact spring and the working circuit in the relay through online shooting by the cloud camera, and generating an image data matrix of the opening and closing state of the relay mechanical component , ;in Indicates the collected Image data of the opening and closing status of the relay mechanical components, Indicates the maximum number of images of the open and closed states of the relay mechanical components, including springs, supports and armatures; S52, establish the image data matrix of the normal opening and closing state of the relay mechanical component , ;in Indicates Image data of the normal opening and closing status of the relay mechanical components. Indicates the maximum value of the number of images of the normal opening and closing state of the mechanical component of the relay; the image data of the normal opening and closing state of the mechanical component of the relay indicates the image information of the non-working state and the working state of the mechanical component in the relay that controls the disconnection and closing of the contact reed and the working circuit in a non-fault state; S53, the relay mechanical component opening and closing state image data matrix Image data of the opening and closing status of the relay mechanical components Image data matrix of normal open and closed status of relay mechanical components Image data of normal opening and closing status of relay mechanical components Perform image feature matching and generate relay mechanical component fault identification data based on the image feature matching results , execute to generate relay mechanical component fault identification data The specific steps are as follows: S531, initialization parameters, update the number of crow populations for mechanical fault analysis, maximum number of iterations, and flight distance ; S532, Initialize the mechanical fault analysis image data matrix of the crow individual in the normal open and closed state of the relay mechanical component The initial position and memory in the search space, Mechanical failure analysis crows are randomly distributed in the space dimension Image data matrix of normal open and closed state of relay mechanical components In the search space; in the first iteration, assuming mechanical failure analysis, the crow individual is in the normal open and closed state image data matrix of the relay mechanical component Search the search space to find the image data of the open and closed state of the relay mechanical component Matching relay mechanical components normal open and closed state image data Food and hidden in the initial location; S533, calculating the individual fitness value of each mechanical fault analysis crow, that is, calculating the image data of the open and closed state of the relay mechanical component Image data matrix of normal open and closed status of relay mechanical components Relay mechanical component normal open and close state image data in search space The fitness value of S534, Update mechanical fault analysis crow individual in the relay mechanical component normal open and close state image data matrix The position in the search space, the formula for updating the individual position of the crow in mechanical failure analysis is as follows: ,in Indicates Iteration Mechanical Failure Analysis Crow Individual Image data matrix of the normal open and closed state of the relay mechanical component The new position in the search space, Indicates Iteration Mechanical Failure Analysis Crow Individual Image data matrix of the normal open and closed state of the relay mechanical component The position in the search space, represents a random number uniformly distributed between

[01] , Indicates Iteration Mechanical Failure Analysis Crow Individual Image data matrix of the normal open and closed state of the relay mechanical component The flight distance in the search space, Indicates Iteration Mechanical Failure Analysis Crow Individual Image data matrix of the normal open and closed state of the relay mechanical component The food hiding location in the search space, i.e. Iteration Mechanical Failure Analysis Crow Individual Image data matrix of the normal open and closed state of the relay mechanical component Search the search space to find the image data of the open and closed state of the relay mechanical component Matching relay mechanical components normal open and closed state image data location; S535, determine the feasibility of the new position, determine the feasibility of the new position of each mechanical fault analysis crow individual; if the new position of the mechanical fault analysis crow individual is feasible, the mechanical fault analysis crow individual will update its position, that is, in the normal opening and closing state image data matrix of the relay mechanical component Search the search space to find the image data of the open and closed state of the relay mechanical component Matching relay mechanical components normal open and closed state image data , the mechanical fault analysis crow individual is updated to the matched relay mechanical component normal opening and closing state image data position; otherwise, the crow individual stays at the current position and does not move to the new position; S536, evaluate the fitness value of the new position, calculate the fitness value of each mechanical fault analysis crow's individual new position, that is, calculate the image data matrix of the normal opening and closing state of the relay mechanical component Search space for relay mechanical component open and closed state image data Image data of the normal open and closed state of the relay mechanical component in the new position The fitness value of S537, update memory, if the fitness value of the new position of the mechanical fault analysis crow is greater than the fitness value of the initial position in the memory, the mechanical fault analysis crow updates its memory through the new position, otherwise it does not update its memory; that is, in the normal open and closed state image data matrix of the relay mechanical component Search the search space to find the image data of the open and closed state of the relay mechanical component Image data of the normal open and closed state of the relay mechanical component with the largest fitness value ; S538: When the maximum number of iterations is met, output the image data of the opening and closing state of the relay mechanical component Image data of normal opening and closing status of relay mechanical components The image feature matching results are used to generate relay mechanical component fault identification data. ; when and If all image features are matched successfully, it means that there is no fault in the relay mechanical component, and the relay mechanical component fault identification data is output. is the normal state; when and If the image features are not completely matched, it means that there is a fault in the relay mechanical component, and the relay mechanical component fault identification data is output. It is a fault state.

[0026] The contact voltage data of the relay contacts is collected to identify the fault status of the relay contacts. The steps for generating the relay contact fault identification data are as follows: S61, collecting voltage parameters between the two contact reeds when the relay contact reed is in contact with the working power through a voltage sensor, and generating relay contact voltage data ,in The unit of is volt; S62, based on relay contact voltage data Compare the voltage value of the contact spring at the contact end of the working circuit with the power-on state of the relay, and generate relay contact fault identification data based on the comparison result of the voltage value of the contact spring at the contact end of the working circuit and the power-on state of the relay. ; when If it is not equal to zero, it means that the contact reed is normally energized when the relay is powered on, and the relay contact fault identification data is output. is the normal state; when If it is equal to zero, it means that the contact reed is not normally energized when the relay is powered on, and the relay contact fault identification data is output. It is a fault state.

[0027] The relay coil magnetic field strength parameter acquisition unit and the relay coil fault analysis unit cooperate with each other, and the magnetic field strength sensor is used to accurately obtain the relay coil magnetic field strength parameters and the scientifically preset relay coil normal magnetic field strength range to perform digital analysis of the relay coil fault state, so as to realize orderly and scientific judgment of the coil fault under the relay fault state, and improve the scientific nature of the relay coil fault diagnosis; the relay mechanical component opening and closing state image acquisition unit and the relay mechanical component fault identification unit cooperate with each other, and the cloud lens dynamically collects the relay mechanical component opening and closing state image information, combines the intelligent recognition algorithm and the standard stored relay mechanical component normal opening and closing state image information to perform intelligent identification of the relay mechanical component fault state, and realizes accurate analysis of the mechanical component fault problem composed of the spring, support and armature under the relay fault state, and improves the intelligent diagnosis of the relay mechanical fault; the relay contact voltage acquisition unit and the relay contact fault identification unit cooperate with each other, and the voltage sensor collects the relay contact voltage parameters and combines the voltage numerical analysis to accurately detect the fault problem of the relay contact reed, and realizes the scientific and refined fault type diagnosis of the relay coil, mechanical structure and contact reed under the fault state, and improves the safety and reliability of the relay operation.

[0028] For further information, see Figure 1 - Figure 2 , the steps to construct the relay fault diagnosis result data and execute the relay fault diagnosis result push operation are as follows: S71, relay coil fault analysis data , Relay mechanical component fault identification data , Relay contact fault identification data Combine data to generate relay fault diagnosis result data ,in ; S72, transmit the relay fault diagnosis result data through the Internet of Things communication network Push to the electrical safety supervision platform to execute the relay fault diagnosis result push operation.

[0029] Through the relay fault diagnosis result construction unit, the relay fault diagnosis result information is constructed efficiently and accurately based on the relay's coil, mechanical structure, and contact fault analysis parameters combined with data combination, realizing the comprehensive and scientific collection of fault type diagnosis results from multiple angles of the relay's coil, mechanical structure, and contacts; the relay fault diagnosis result push operation execution unit independently and accurately executes the relay fault diagnosis result push operation based on the relay fault diagnosis result information combined with the electrical safety supervision platform, thereby improving the accuracy and efficiency of relay fault state feedback.

[0030] Embodiment 2: See also Figure 1 - Figure 2 , a relay fault warning system, used to implement a relay fault warning method, the system includes a relay operation status detection module, a relay fault analysis module, and a relay fault warning module; The relay operation state detection module includes a relay power-on state contact voltage parameter acquisition unit, a relay operation state judgment unit, and a relay operation state judgment result output unit; A relay power-on state contact voltage parameter acquisition unit, which acquires relay power-on state contact voltage data through a voltage sensor; a relay operation state judgment unit, which performs relay fault operation state judgment processing based on the relay power-on state contact voltage data and generates relay operation state judgment data; a relay operation state judgment result output unit, which is used to output the relay operation state judgment data; The relay fault analysis module includes a relay power-on state coil magnetic field strength parameter acquisition unit, a relay power-on state coil normal magnetic field strength interval storage unit, a relay coil fault analysis unit, a relay mechanical component open and closed state image acquisition unit, a relay mechanical component normal open and closed state image storage unit, a relay mechanical component fault identification unit, a relay contact voltage acquisition unit, and a relay contact fault identification unit; A relay power-on state coil magnetic field strength parameter acquisition unit, which acquires relay power-on state coil magnetic field strength data through a magnetic field strength sensor; a relay power-on state coil normal magnetic field strength interval storage unit, which is used to store the relay power-on state coil normal magnetic field strength interval; a relay coil fault analysis unit, which performs relay coil fault state analysis processing based on the relay power-on state coil magnetic field strength data and the relay power-on state coil normal magnetic field strength interval, and generates relay coil fault analysis data; a relay mechanical component opening and closing state image acquisition unit, which acquires relay mechanical component opening and closing state image data through a cloud lens; a relay mechanical component normal opening and closing state image storage unit, which is used to store relay mechanical component normal opening and closing state image data; a relay mechanical component fault identification unit, which performs relay mechanical component fault state identification processing based on the relay mechanical component opening and closing state image data and the relay mechanical component normal opening and closing state image data, and generates relay mechanical component fault identification data; a relay contact voltage acquisition unit, which acquires relay contact contact voltage data through a voltage sensor; a relay contact fault identification unit, which is used to acquire relay contact contact voltage data, perform relay contact fault state identification processing, and generate relay contact fault identification data; The relay fault warning module includes a relay fault diagnosis result construction unit and a relay fault diagnosis result push operation execution unit; The relay fault diagnosis result construction unit is used to construct the relay fault diagnosis result data; the relay fault diagnosis result push operation execution unit executes the relay fault diagnosis result push operation based on the relay fault diagnosis result data and the electrical safety supervision platform.

[0031] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A relay fault early warning method, characterized in that: The method comprises the following steps: S1, collect the contact voltage data of the relay power-on state; S2, performing relay fault operation state judgment processing according to the relay power-on state contact voltage data, generating and outputting relay operation state judgment data, and directly ending the relay fault diagnosis operation when it is in a normal state; S3, when it is in a fault state, collect the magnetic field strength data of the coil in the power-on state of the relay; S4, performing relay coil fault state analysis processing according to the relay power-on state coil magnetic field strength data and the relay power-on state coil normal magnetic field strength interval, and generating relay coil fault analysis data; S5, collecting the image data of the opening and closing state of the relay mechanical component and performing a fault state identification process of the relay mechanical component with the image data of the normal opening and closing state of the relay mechanical component to generate relay mechanical component fault identification data; S6, collecting the contact voltage data of the relay contacts to perform fault state identification processing of the relay contacts, and generating relay contact fault identification data; S7, construct relay fault diagnosis result data and execute relay fault diagnosis result push operation.

2. A relay failure early warning method according to claim 1, characterized in that: The S1 comprises the following steps: S11. Collect the voltage parameters between the two contact springs connected to the armature when the relay is powered on online through the voltage sensor, and generate the contact voltage data of the relay when it is powered on ,in The unit is volts.

3. A relay failure early warning method according to claim 2, characterized in that: The S2 comprises the following steps: S21, the contact voltage data of the relay power-on state Perform numerical analysis on the contact reed voltage when the relay is powered on, and generate relay operation status judgment data based on the numerical analysis results of the contact reed voltage when the relay is powered on ; when is not equal to zero, then the output It is in normal state, and the relay fault diagnosis operation is ended directly at this time; when is equal to zero, then the output is an abnormal state; S22. Output data.

4. A relay failure early warning method according to claim 3, characterized in that: The S3 comprises the following steps: S31, when the When the relay is in an abnormal state, the magnetic field strength sensor collects the magnetic field strength parameters generated by the coil when the relay is powered on, and generates the magnetic field strength data of the coil when the relay is powered on. ,in The unit is ampere / meter.

5. A relay failure early warning method according to claim 4, characterized in that: The S4 comprises the following steps: S41. Establish the normal magnetic field strength range of the coil when the relay is powered on ,in and Respectively indicate the The minimum value of the normal magnetic field strength of the coil when the relay is powered on and the maximum value of the normal magnetic field strength of the coil when the relay is powered on, where and The unit of all is ampere / meter; S42, the With the As stated in and stated Perform magnetic field strength numerical comparison and generate relay coil fault analysis data based on the magnetic field strength numerical comparison results ; when ∈ , then the output is is the normal state; when ∉ , then the output is It is a fault state.

6. A relay fault early warning method according to claim 5, characterized in that: The S5 comprises the following steps: S51, collecting image information of the non-working state and the working state of the mechanical component of the control contact spring and the working circuit in the relay through online shooting by the cloud camera, and generating an image data matrix of the opening and closing state of the relay mechanical component , ;in Indicates the collected Image data of the opening and closing status of the relay mechanical components, Indicates the maximum number of images of the open and closed states of the relay mechanical component; S52, establish the image data matrix of the normal opening and closing state of the relay mechanical component , ;in Indicates Image data of the normal opening and closing status of the relay mechanical components. Indicates the maximum number of images of the normal open and closed states of the relay mechanical component; S53, the As stated in With the As stated in Perform image feature matching and generate relay mechanical component fault identification data based on the image feature matching results , execute to generate the The specific steps are as follows: S531, initialization parameters, update the number of crow populations for mechanical fault analysis, maximum number of iterations, and flight distance ; S532, initialize mechanical failure analysis crow individual in the The initial position and memory in the search space, Mechanical failure analysis crows are randomly distributed in the space dimension of In the search space; in the first iteration, it is assumed that the mechanical failure analysis crow individual is described in Search the search space for Matching the Food and hidden in the initial location; S533, calculate the individual fitness value of each mechanical fault analysis crow, that is, calculate the With the The search space The fitness value of S534, update mechanical failure analysis crow individual in the Position in the search space; S535, determine the feasibility of the new position, determine the feasibility of the new position of each mechanical failure analysis crow individual; if the new position of the mechanical failure analysis crow individual is feasible, the mechanical failure analysis crow individual will update its position, that is, in the Search the search space for Matching the , the mechanical failure analysis crow individual is updated to the matching successful position; otherwise, the crow individual stays at the current position and does not move to the new position; S536, evaluate the fitness value of the new position, calculate the fitness value of each mechanical fault analysis crow in the new position, that is, calculate the fitness value of the new position of the search space With the new location The fitness value of S537, updating memory. If the fitness value of the new position of the mechanical fault analysis crow is greater than the fitness value of the initial position in the memory, the mechanical fault analysis crow updates its memory through the new position, otherwise it does not update its memory; that is, in the Search the search space for The one with the largest fitness value ; S538. When the maximum number of iterations is met, output the same as described above. With the The image feature matching results are used to generate relay mechanical component fault identification data. ; when and The image features are matched successfully and the output is is the normal state; when and If the image features are not fully matched, the output is It is a fault state.

7. A relay failure early warning method according to claim 6, characterized in that: The S6 comprises the following steps: S61, collecting voltage parameters between the two contact reeds when the relay contact reed is in contact with the working power through a voltage sensor, and generating relay contact voltage data ,in The unit of is volt; S62. Based on the Compare the voltage value of the contact spring at the contact end of the working circuit with the power-on state of the relay, and generate relay contact fault identification data based on the comparison result of the voltage value of the contact spring at the contact end of the working circuit and the power-on state of the relay. ; when is not equal to zero, then the output is the normal state; when is equal to zero, then the output It is a fault state.

8. A relay failure early warning method according to claim 7, characterized in that: The S7 comprises the following steps: S71, the , , Combine data to generate relay fault diagnosis result data ; S72, through the Internet of Things communication network Push to the electrical safety supervision platform to execute the relay fault diagnosis result push operation.

9. A relay fault early warning system, used to implement a relay fault early warning method according to any one of claims 1 to 8, characterized in that: The system comprises a relay operation status detection module, a relay fault analysis module and a relay fault early warning module.

Images