Current transformer secondary output signal normalization system applied to coal mine

Abstract

The invention provides a current transformer secondary output signal normalization system applied to a coal mine. Comprising a host and a display unit, the host is in communication connection with the display unit; the host comprises a plurality of signal connection ports and a digital processor; wherein the signal connection port is used for automatically adapting to a secondary output signal of the current transformer and carrying out signal waveform simulation, a normalization program is built in the digital processor, and the secondary output signal is subjected to normalization processing through the normalization program; the display unit comprises at least one fusion display interface and a plurality of signal display interfaces; wherein the fusion display interface is used for displaying the fusion signal after normalization processing, and the signal display interface is used for displaying the secondary output signal. The method can reduce the manual intervention, and is suitable for the signal input of multi-specification current transformers in a complex environment of a coal mine. Through classification and segmentation processing, the normalization effect of abnormal signals is improved. And the fusion interface is combined with the independent interface to meet different analysis requirements.

Description

Technical Field

[0001] The invention relates to the technical field of mine power supply, and in particular to a current transformer secondary output signal normalization system applied to coal mines. Background Art

[0002] In the mine power supply system, the primary side of the current transformer has a rated current input condition, and the secondary output is 5A, 1A, 0.1A, 6V, 1V, 0.7V, 0.1V and other signal outputs. This leads to a wide variety of analog quantity acquisition circuit hardware for the upgraded equipment, which is not conducive to the unification of specifications for underground protection equipment in coal mines.

[0003] Therefore, it is urgent to develop a signal conversion device to normalize the various signals output by the secondary side of the current transformer. Adding a signal conversion device is conducive to upgrading the hardware unification of the equipment, facilitating coal mine equipment management, system maintenance, and safe operation. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that under the condition of rated current input on the primary side of the current transformer in the mine power supply system, the secondary output is 5A, 1A, 0.1A, 6V, 1V, 0.7V, 0.1V and other signal outputs, which leads to a wide variety of analog quantity acquisition circuit hardware types for upgrading equipment, which is not conducive to the unification of specifications of underground protection equipment in coal mines.

[0005] In a first aspect, the present application proposes a current transformer secondary output signal normalization system applied to a coal mine, comprising a host and a display unit, wherein: the host and the display unit are in communication connection;

[0006] The host includes a plurality of signal connection ports and a digital processor; wherein the signal connection port is used to automatically adapt the secondary output signal of the current transformer and perform signal waveform simulation, and the digital processor has a built-in normalization program, and normalizes the secondary output signal through the normalization program;

[0007] The display unit includes at least one fusion display interface and multiple signal display interfaces; wherein the fusion display interface is used to display the fusion signal after normalization processing, and the signal display interface is used to display the secondary output signal.

[0008] In this embodiment, there may be a large number of equipment in the mine, and each equipment has different current transformers, which is difficult to implement, so a variety of different current transformer detection equipment is required. The present application automatically adapts the current transformer through the signal connection port, and then uniformly converts the signal of the current transformer into a digital signal output. The output digital signal is normalized and calculated by the normalization program built into the digital processor, and the different signals of the current transformer are converted into a standard standard dimension that can be displayed by the display unit; thereby eliminating the problem that various devices with current transformers have data differences and cannot analyze data inside the coal mine, and multiple scenes can be mixed and misjudgment caused by format differences can be avoided. When displaying the test results of the current transformer, through the fusion display interface of the display unit, multiple normalized signals can be integrated, and comprehensive detection of multiple devices with current transformers can be realized, providing a global perspective and comprehensive analysis; for each device with a current transformer, the signal display interface can also be used to provide detailed tracing of a single current transformer, and display the original signal of any current transformer, so as to realize fault location and normalized data comparison.

[0009] Based on the first aspect, in a possible implementation, the normalizing the secondary output signal by a normalization procedure includes:

[0010] Extract waveform features of the simulated waveform obtained by simulating the signal waveform, and perform waveform feature classification;

[0011] Classify the secondary output signals for normalization according to waveform feature classification, determine the secondary output signals involved in normalization calculation after quality inspection and determine the corresponding normalization coefficients;

[0012] Determine the normalized characteristic parameters of the secondary output signals one by one, and calculate the normalized characteristic parameters in sections for the abnormal secondary output signals whose amplitude balance and waveform distortion coefficient are obviously not in a linear relationship under the coordinates;

[0013] According to the waveform feature classification, the normalized average values ​​of the normalized feature parameters of different secondary output signals are determined;

[0014] Generate normalized relative fusion curves of different secondary output signals according to the normalized average value;

[0015] According to the normalized relative fusion curve, the fusion coefficient of fusion of different secondary output signals under different operating conditions of the current transformer is determined;

[0016] And different output signals are normalized through fusion coefficients to determine normalized values.

[0017] In this embodiment, after the signal connection port receives the secondary output signal of the current transformer, the signal waveform of the secondary output signal is simulated through time-frequency domain analysis, the signal features are extracted, and then the abnormal signals and normal signals in different secondary output signals are distinguished through the signal features; according to the quality inspection, the abnormal signals are eliminated, and the normalization coefficient after normalization calculation is output, and the normalization coefficient is used to characterize the signal quality of the output normalized signal; then, the secondary output signals are analyzed one by one to generate the normalized characteristic parameters of each waveform feature. If there is an abnormal amplitude balance or an abnormal waveform coefficient in the secondary output signal, segmented normalization is performed to realize segmented normalization calculation, so as to avoid the problem that errors are prone to occur in the detection of long signals under complex working conditions. Finally, the normalized characteristic parameters of different signals are fused to realize the coordinated normalization of multi-source signals and enhance the analysis effect of multi-signal joint analysis.

[0018] Based on the first aspect, in a possible implementation, the signal waveform simulation includes:

[0019] Analyze the time domain and frequency domain characteristics of the secondary output signal of the current transformer to determine the signal modal components that need to be simulated;

[0020] According to the signal modal components, the corresponding chaotic system is matched and the chaotic signal is generated through numerical integration;

[0021] According to the characteristic index of the secondary output signal of the current transformer, the amplitude modulation and phase modulation parameters of the chaotic signal are calculated;

[0022] According to the control parameters, the chaotic signal is amplitude and phase modulated;

[0023] The modulated signals are synthesized to obtain a simulated current transformer secondary output signal waveform, and the simulated waveform is output.

[0024] In this embodiment, the waveform simulation is to more accurately extract the characteristics of the secondary output signal. The current transformer of the coal mine has nonlinear current signals. In feature extraction, nonlinear simulation is often required, which produces a lot of water to achieve feature extraction. This application performs waveform simulation on the basis of the waveform of the secondary signal, extracts key modal components, and then determines the simulated signal characteristics. Then, the vertical moving integral calculation of the chaotic system is used to simulate the random interference of complex working conditions, determine the characteristics of the secondary output signal, and then make the simulated moral signal as real as possible, in line with the scenario of the coal mine, and improve the signal analysis effect in extreme scenarios.

[0025] Based on the first aspect, in a possible implementation, the signal connection port includes a signal detection unit, a signal analysis unit and a control unit;

[0026] Wherein, the signal detection unit is used to receive the secondary output signal of the current transformer;

[0027] The signal analysis unit determines the signal strength according to a preset threshold value and determines the port specification that the signal should match;

[0028] The control unit adjusts the adaptation signal strength of the signal connection port through a relay matrix or an electronic switch according to the port specifications.

[0029] In this embodiment, the signal connection port is used to receive the secondary output signal. However, in coal mines, in a variety of different devices with current transformers, signal adaptation is required to obtain the most accurate results. Traditional technologies are mainly based on manual port switching or the implementation of multiple models of current transformers and model adaptation. However, this adaptation, even if successful, can transmit the signal of the current transformer, but there may be signal interference due to environmental interference. Therefore, this application uses a relay matrix or an electronic switch to physically isolate different signals, and adjusts the port specifications, that is, the gain multiple of the transmission line, to prevent crosstalk while ensuring signal stability.

[0030] Based on the first aspect, in a possible implementation, the normalizing the secondary output signal by a normalization program further includes:

[0031] Collect the original data of the secondary output signal of the current transformer, including normal signals and abnormal signals;

[0032] Preprocess the original signal to determine the training corpus; the preprocessing includes: sampling rate conversion, length fixing and data cleaning;

[0033] Construct a self-supervisory signal normalization supervision model based on de-statistical instance normalization, train the model using training corpus, and obtain a trained target supervision model;

[0034] Inputting the normalized secondary output signal of the current transformer to be verified into the trained target supervision model to determine the enhanced verification signal after enhancement;

[0035] The effectiveness of the normalization result can be judged by comparing the enhanced verification signal with the original signal.

[0036] In this embodiment, in order to solve the linear scaling problem caused by the traditional normalization relying on fixed rules, as well as the signal distortion and key feature loss after normalization, the application constructs a normalization supervision model based on statistical examples, which can prevent the normalized signal from being distorted when the signal is enhanced, and realize the verification of the enhanced signal, thereby ensuring the effectiveness of the normalization effect.

[0037] Based on the first aspect, in a possible implementation, the self-supervisory signal normalization supervision model comprises the following steps of construction:

[0038] Collect text description information and device description information of the secondary signal of the current transformer; wherein the text description information is the first associated data of the influence of the signal characteristics on the normalization result; the device description information is the second associated data of the influence of the device characteristics of the verified entity object on the normalization result;

[0039] Constructing first training sample data and second training sample data according to the first associated data and the second associated data;

[0040] Inputting the first training sample data into a first model substructure based on the semantic vector, and outputting a first target vector;

[0041] Inputting the second training sample data into a second model substructure based on the device parameters, and outputting a second target vector;

[0042] An attribute constraint model is constructed according to the first target vector and the second target vector, a target self-supervision model is trained, and a self-supervision signal normalization supervision model is generated.

[0043] In this embodiment, in the process of supervising the input secondary signal, the present application performs fusion association of text feature association and device parameters based on the secondary signal of the current transformer, and more accurately supervises different input parameters according to the attribute constraint model to improve time adaptability.

[0044] Based on the first aspect, in a possible implementation, the fusion display interface and the signal display interface of the display unit are connected;

[0045] Each signal display interface and fusion display interface is configured with a unique data transmission channel;

[0046] The fusion display interface is used to perform waveform processing on the normalized secondary output signal to generate a normalized waveform;

[0047] The fusion display interface and the signal display interface are connected to the preset visualization tool, and the corresponding display mode is generated according to the control instructions of the visualization tool.

[0048] In this implementation, in order to solve the problem that traditional current transformers either have a single interface or need to connect multiple devices for simultaneous display, resulting in solid line overlap and data delay, a fused signal interface and a signal display interface are set up to switch the displayed page according to user needs. At the same time, the only transmitted separate signal channel can be displayed in a targeted manner as an independent communication channel.

[0049] Based on the first aspect, in a possible implementation, the fusion display interface and the signal display interface are connected with a preset visualization tool, including:

[0050] Receive visualization instructions from the user and determine the signal display interface that needs to be fused;

[0051] Obtain raw data from different signal display interfaces and convert them into converted data that conforms to the preset visualization tool data format rules;

[0052] According to user needs, configure data visualization requirement data; wherein the visualization requirement data includes attribute data of data visualization elements and attribute data of data visualization scene data;

[0053] Use preset visualization tools to edit the converted data and generate data visualization elements that meet the requirements of attribute data;

[0054] Use the data visualization engine to edit data visualization elements and generate data visualization scene data that meets the attribute data requirements;

[0055] According to the data visualization scene data, different signal display interfaces are fused to generate data visualization resource files that conform to the preset visualization tool data format rules, and the visualization resource files are visualized through the fused display interface.

[0056] In this implementation, in order to solve the problem of no visualization interface, the visualization engine's interface fusion can be used to achieve visualization of multi-signal fusion and visualization of operating data of a single device.

[0057] Based on the first aspect, in a possible implementation, the display unit includes a preset visualization interface configuration unit, and the visualization interface configuration unit is used to schedule an interface card template according to a specification identifier of a secondary signal of a current transformer;

[0058] Among them, the specification identification is generated by the signal connection port in the host after the current transformer is connected;

[0059] The interface card template is a preset schedulable template for the fusion display interface and the signal display interface.

[0060] In this implementation, in order to solve the problem that traditional coal mines need to manually configure the visualization interface, the present application can quickly generate a display interface for the test results by configuring an interface card template.

[0061] Based on the first aspect, in a possible implementation, the display unit further includes an interface response mechanism; wherein the interface response mechanism is used to:

[0062] Receive user operation behaviors on the fusion display interface and the signal display interface;

[0063] According to the operation behavior, a mapping relationship between the fusion display interface and the signal display interface and the operation behavior is established;

[0064] According to the mapping relationship, the corresponding target definition instruction is obtained on the preset rule engine;

[0065] Define instructions according to the target and respond to user operations.

[0066] In this implementation, during the visualization process, in order to accurately understand the user's real-time intentions, the present application sets up an operation linkage mechanism, determines the data mapping of the fusion display interface and the signal display interface through analysis of the operation linkage, and realizes collaborative analysis of multiple views. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] The accompanying drawings are used to provide further explanation of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0068] Figure 1 This is a system operation composition diagram of a current transformer secondary output signal normalization system used in a coal mine in the present invention;

[0069] Figure 2 is a flow chart of the normalization process of the normalization program in the present invention;

[0070] Figure 3 It is a flow chart of the waveform simulation process in the present invention;

[0071] Figure 4 This is an implementation diagram of the signal connection port in the present invention;

[0072] Figure 5 It is a flow chart of the process of determining the validity of the result in the present invention;

[0073] Figure 6 A diagram showing the construction process of the self-supervisory signal normalization supervision model in the present invention;

[0074] Figure 7 A flowchart for implementing the display mode of the display unit in the present invention;

[0075] Figure 8 A diagram showing the docking process between the display interface and the visualization tool in the present invention;

[0076] Fig. 9 A diagram showing the configuration process of the scheduling interface card of the visualization interface configuration unit in the present invention;

[0077] Fig.10 It is a diagram of the interface response process of the display unit in the present invention. DETAILED DESCRIPTION

[0078] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments are only used to explain the present invention and are not used to limit the scope of the present invention.

[0079] See also Figure 1 , a system block diagram of a current transformer secondary output signal normalization system for use in a coal mine is proposed for this application. The host used in this application is an electric power test device or electric power monitoring device for a current transformer, which includes multiple signal connection ports. The signal connection port is a hardware interface composed of an adjustable resistor, an operational amplifier circuit or an ADC module. When adapting the secondary signal of the current transformer, the adapted secondary output signal, including but not limited to the range, frequency and waveform of the secondary signal, will be converted into a unified digital signal. The digital processor is electrically connected to the output end of the signal connection port, and a normalization algorithm is configured inside it. The normalization algorithm is a synchronous normalization algorithm that combines a signal amplification algorithm with a baseline calibration algorithm. The combination of the signal amplification algorithm and the baseline calibration algorithm can indirectly perform filtering during the normalization process. The filtering effect can eliminate device differences in data analysis. The data after normalization by the digital processor will be transmitted to the display unit. The display unit is equipped with a data fusion algorithm based on weighted average and principal component analysis, which is used to perform comprehensive detection and display of multiple devices with current transformers that are monitored simultaneously in the coal mine, and display the overall load status of multiple devices with current transformers in the coal mine through the fusion display interface. For a single coal mine device with a current transformer, it can be split-screen displayed through the signal display interface, which is convenient for fault location and data comparison before and after normalization to determine the cause of the fault. The signal normalization system of the present application is suitable for coal mine scenarios with mixed use of multiple models, which can reduce the complexity of operation. After normalization, overload warning analysis and harmonic detection analysis can be realized. Even if there are differences in the signal formats of different devices, during analysis, because signal normalization is realized, it is not only easy to perform signal analysis, but also because after signal normalization, by comparing similar signals, it can be determined whether there is a misjudgment. The fusion interface provides a global monitoring perspective, and the signal display interface of the split interface can realize detailed diagnosis of a single device.

[0080] Embodiment 2:

[0081] See also Figure 2 In actual implementation, during the normalization process of the collected current transformer signal, the waveform features are first extracted through time-frequency domain analysis. The time domain analysis includes peak value and mean value; the frequency domain analysis includes the use of FFT to extract waveform features.

[0082] In the process of waveform feature classification, SVM, random forest and K-means algorithms are used to classify signals. Signal classification is performed and the classification results include normal, overload, short circuit, distortion and noise interference, etc.

[0083] In the process of quality inspection and normalization calculation, the normalization coefficient calculation can adopt a dynamic scaling coefficient for the signal with poor amplitude balance and introduce compensation parameters for the waveform distortion signal. It is also possible to use a preset threshold or amplitude fluctuation range verification method to exclude abnormal signals and determine the normalization characteristic parameters of each signal, such as phase difference or amplitude abnormality characteristics. Through waveform classification and quality inspection, abnormal signals can be excluded to prevent the appearance of noise or faulty data and errors in normalization results.

[0084] During the segmented processing of abnormal signals, for nonlinear abnormal signals, such as transient impact waveforms, the normalization parameters will be calculated segmented in the time domain, and the signal will be divided into multiple linear sub-segments, such as once every 100ms window, and a normalized relative fusion curve will be generated through curve fitting to reflect the optimal fusion coefficient under different operating conditions. Segmented processing of normalized signals can enhance the instantaneous impact of motor startup and short-circuit transient impact in complex coal mine environments without normalization distortion.

[0085] In the process of calculating the fusion coefficient, when generating the fusion curve, weights can be assigned according to the signal confidence to collaboratively normalize the multi-source signals.

[0086] Embodiment 3:

[0087] See also Figure 3 : First, after the signal is connected to the port, the signal output from the secondary side of the current transformer will be analyzed in the time domain, including peak value, rise time, etc., and the frequency domain analysis includes FFT, wavelet transform, etc.; the secondary output signal of the current transformer, the fundamental wave, harmonics, transient impact components and other key modal components are extracted to determine the signal characteristics.

[0088] The secondary output signal has characteristic indicators such as nonlinearity and instability. Based on the characteristic indicators, a preset chaotic system, such as the Lorenz system, Chua circuit, etc., is used to combine amplitude modulation and phase modulation parameters to perform numerical integration calculations to generate chaotic signals. At this time, the generated chaotic signal will simulate random interference components, such as electromagnetic noise and arc disturbance.

[0089] The chaotic signal will have amplitude-frequency characteristics such as rated current and harmonic content. The modulation parameters are calculated based on the amplitude-frequency characteristics to achieve dynamic matching of the chaotic signal and the modulation parameters, so that the simulated signal is close to the actual working condition. In this way, multiple groups of modulated chaotic signals are superimposed to cover the working scenarios of the current transformer, realize more realistic simulation of complex working conditions, and obtain more accurate simulation waveforms.

[0090] Embodiment 4:

[0091] See also Figure 4 :In actual implementation, the signal connection port includes three parts. The signal detection unit uses a high-precision ADC chip (such as ADS1256) to collect signals and ensure electrical safety through an isolation circuit (such as an optocoupler). The signal analysis unit implements real-time threshold judgment based on FPGA and dynamically matches the signal strength with the port specification (such as 0-5V or 0-10V range). The control unit switches the signal path through a relay matrix or a solid-state electronic switch, adjusts the signal gain, and realizes adaptive signal conditioning. If the signal strength exceeds the threshold, it will trigger the interface to convert to the specification port of the corresponding range and protocol. The difficulty of traditional current transformers lies in the need for manual port switching and fixed specification design, which requires fixed specification adaptation; it cannot be applied in mixed scenarios with different transformation ratios or output ranges, so it cannot be used or the sensitivity is insufficient when it is used arbitrarily. When the threshold is preset, the threshold can be dynamically loaded according to the current transformer model. In the case of using a relay matrix, a tree-shaped switch network will be built based on the relay matrix, and the relay matrix will be controlled to respond to the corresponding switch command according to the trigger signal.

[0092] Embodiment 5:

[0093] See also Figure 5 :In actual implementation, data preprocessing will be performed for normal signals or abnormal signals in the original signal, including reducing the sampling frequency, removing wild values, filling the actual points with differences, or converting normal signals and abnormal signals into fixed-length corpus. Then, through the sub-supervised learning framework, the statistical features of the waveform pattern and the text of the instance features are used as training corpus for normalization training by using the contrastive learning method. In this process, the model parameters are also optimized by reconstructing the task or contrasting the loss function to extract the normalized results of the signal. The normalized results are input into the trained model, and the robustness of the model is verified by adding controllable noise or time series disturbance. Finally, in the process of effectiveness evaluation, the key features of the normalized signal, such as waveform shape and time series, are judged based on the dynamic time warping distance. The normalization method of the present application can solve the problem that the traditional technology relies on linear scaling and cannot adapt to the complex current signals of coal mines, such as multimodal distribution or Gaussian noise. The signal under the fault state is processed by the model to avoid normalization failure. The normalized results finally obtained are directly output effectively, and the invalid ones are corrected by feedback.

[0094] Embodiment 6:

[0095] See also Figure 6, the working condition description of the equipment corresponding to the current transformer in the traditional coal mine is often not related to the equipment attributes. This application eliminates a solution that uses equipment information to accurately identify the equipment in complex scenes and extract accurate signals. First, the secondary signal of the current transformer is obtained, and the text description information and device description information of the equipment corresponding to the current transformer are determined in the cloud or local system according to the adaptation data of the current transformer. The text information is the specific information of the signal characteristics of this equipment. For example, the harmonic content of this equipment is high, there are transient shocks, etc. When the harmonic content is high, the calculation of the optimization result needs to increase the low-pass filter weight, and then the first related data is constructed through these data.

[0096] For the second associated data, the impact on the normalized result will be determined based on information such as the device type and material corresponding to the current transformer. For example, if the core of the current transformer is silicon steel, dynamic compensation is required because of low magnetic saturation. Therefore, the second associated data also represents the device characteristic vector.

[0097] Then, the Sunlian sample is generated through the first associated data and the second associated data to construct the first encoder based on the motion state of the device and the second encoder based on the material of the device. The training is carried out by fusing the two modal features, and the device attribute constraint model is used to form a normalized supervision model. The attribute constraint model is composed of a joint optimization constraint model based on the device loss term. In actual implementation, the first model substructure is a pre-trained BERT model, and the second model substructure is a 3-layer fully connected network.

[0098] Embodiment 7:

[0099] See also Figure 7 In terms of displaying the normalized results, the normalized results also represent the global and local states of the current transformer equipment inside the coal mine. The present application realizes the collaborative display of dual-type interfaces. Both the fusion display interface and the signal display interface have independent data transmission channels, mostly using Ethernet, CAN bus or dedicated serial port to achieve signal synchronization of data isolation. The fusion display interface displays the normalized integrated interface, and the signal display interface displays a single branch display interface of a single current transformer. Each interface is allocated an independent communication link, but there are different communication channels to prevent delays.

[0100] The fusion interface uses a difference algorithm or wavelet transform data fusion technology to convert multi-channel signals into a normalized signal. In this process, the fusion display interface will fuse multi-dimensional features, such as amplitude, phase and frequency. When displaying, the display mode is switched and rendered based on visualization tools. In this process, the display mode can be switched by switching time domain waveforms, spectrum diagrams and vector diagrams, and customized view layout and rendering can be achieved through user or administrator instructions. When displaying, the present application can realize dynamic update of data association because of the existence of independent channels and fusion display interfaces, while avoiding interface freezes or data misalignments, and can switch different display modes as needed.

[0101] Embodiment 8:

[0102] See also Figure 8 :In actual implementation, the visualization function of the traditional coal mine monitoring system is fixed on the measurement signal of the current transformer, and it is impossible to integrate and display the signals of each current transformer according to user needs, realize dynamic configuration and dynamic response of the scene. Therefore, after receiving the user's operation instructions, mainly visualization instructions, the visualization display mode will be set, the signal display interface will be selected, and the corresponding data format logic will be triggered. In the process of data conversion, the binary stream of the original signal data, analog voltage, etc. will be converted into a format compatible with the visualization tool, which can be viewed on a web page or mobile terminal, or on a specific device. The original signal data will be converted into a structured format compatible with the visualization tool, and the user-defined visualization elements, such as the color and axis range of the waveform, and the scene will generate the corresponding configuration file, which can display the scene attributes and the attributes of the visualization elements. The data visualization engine can build the implementation scenario of the visualization data and generate the corresponding industrial tables, such as line charts and heat maps. At the same time, it can also expand the instructions set by the user through scripts or plug-ins according to the resource files. Finally, the visualized data is packaged into fused signal data to realize the display of the expanded platform and dynamic scene layout. The main function of the above two interfaces is to achieve seamless display of different terminals, allowing customers to freely switch product status data and determine whether there is a fault.

[0103] Embodiment 9:

[0104] See also Fig. 9: In terms of interface output, traditional coal mines need to manually display interface parameters, and there is no automatic adaptation equipment. Therefore, after the current transformer and the interface are connected, the host will determine the physical characteristics of the current transformer through the secondary output signal and generate a unique specification identifier. According to the unique specification identifier, the corresponding interface card template can be matched in the preset last shift. The interface card template presets the display elements required for transformers of different specifications, such as waveforms, data tables, alarm threshold lines, and defines data binding logic, such as mapping the ratio parameters to the coordinate axis scale. In the process of template matching, the specification identifier and template of the mapping rule engine through key-value pairs are highly correlated, which will ensure that the interface elements and the parameters of the current transformer are synchronized in real time.

[0105] Embodiment 10:

[0106] See also Fig.10 :In actual implementation, in view of the problem of complex operations required for the interactive speech of the system interface of the current transformer inside the coal mine, user operations and display results, this application recognizes the user's intentions, realizes the recognition of user operations, and automatically responds. In this process, a mapping relationship between operations and responses is constructed through visual command operations such as the touch screen or physical buttons on the host and user gestures, and interface elements in the corresponding interface. Then, the preset rules are parsed by the inherited rule engine, the user's convertible instructions are determined, and adjustment instructions are dynamically generated. The target instructions output by the rule engine will call the rendering interface, and the highlighted abnormal waveforms and abnormal and normal data in the linkage timeline will be displayed in real time on the new canvas and updated data binding. The linkage operation with the above-mentioned fusion interface and signal interface can enhance the analysis function of view collaboration.

[0107] Finally, it should be noted that the above-mentioned embodiments only express several implementation methods of the present invention and are not intended to limit the invention. For those skilled in the art, any modification, equivalent replacement, improvement, etc. made without departing from the concept of the present invention should be included in the protection scope of the invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A current transformer secondary output signal normalization system used in coal mines, characterized in that: It includes a host and a display unit, wherein: the host and the display unit are communicatively connected; The host includes a plurality of signal connection ports and a digital processor; wherein the signal connection port is used to automatically adapt the secondary output signal of the current transformer and perform signal waveform simulation, and the digital processor has a built-in normalization program, and normalizes the secondary output signal through the normalization program; The display unit includes at least one fusion display interface and N signal display interfaces; wherein the fusion display interface is used to display the fusion signal after normalization processing, and the signal display interface is used to display the secondary output signal.

2. The current transformer secondary output signal normalization system used in coal mines according to claim 1, characterized in that: The normalization process of the secondary output signal by a normalization procedure includes: Extract waveform features of the simulated waveform obtained by simulating the signal waveform, and perform waveform feature classification; Classify the secondary output signals to be normalized according to the waveform characteristics, determine the secondary output signals involved in the normalization calculation after quality inspection, and determine the corresponding normalization coefficients; Determine the normalized characteristic parameters of the secondary output signals one by one, and calculate the normalized characteristic parameters in sections for the abnormal secondary output signals whose amplitude balance and waveform distortion coefficient are obviously not in a linear relationship under the coordinates; According to the waveform feature classification, the normalized average values ​​of the normalized feature parameters of different secondary output signals are determined; Generate normalized relative fusion curves of different secondary output signals according to the normalized average value; According to the normalized relative fusion curve, the fusion coefficient of fusion of different secondary output signals under different operating conditions of the current transformer is determined; And different output signals are normalized through fusion coefficients to determine normalized values.

3. The current transformer secondary output signal normalization system used in coal mines according to claim 1, characterized in that: The waveform simulation includes: Analyze the time domain and frequency domain characteristics of the secondary output signal of the current transformer to determine the signal modal components that need to be simulated; According to the signal modal components, the corresponding chaotic system is matched and the chaotic signal is generated through numerical integration; According to the characteristic index of the secondary output signal of the current transformer, the amplitude modulation and phase modulation parameters of the chaotic signal are calculated; According to the control parameters, the chaotic signal is amplitude and phase modulated; The modulated signals are synthesized to obtain a simulated current transformer secondary output signal waveform, and the simulated waveform is output.

4. The current transformer secondary output signal normalization system used in coal mines according to claim 1, characterized in that: The signal connection port includes a signal detection unit, a signal analysis unit and a control unit; Wherein, the signal detection unit is used to receive the secondary output signal of the current transformer; The signal analysis unit determines the signal strength according to a preset threshold value and determines the port specification that the signal should match; The control unit adjusts the adaptation signal strength of the signal connection port through a relay matrix or an electronic switch according to the port specifications.

5. The current transformer secondary output signal normalization system used in coal mines according to claim 1, characterized in that: The normalization process of the secondary output signal by a normalization program further includes: Collect the original data of the secondary output signal of the current transformer, including normal signals and abnormal signals; Preprocess the original signal to determine the training corpus; the preprocessing includes: sampling rate conversion, length fixing and data cleaning; Construct a self-supervisory signal normalization supervision model based on statistical instance normalization, train the model using training corpus, and obtain a trained target supervision model; Inputting the normalized secondary output signal of the current transformer to be verified into the trained target supervision model to determine the enhanced verification signal after enhancement; The effectiveness of the normalization result can be judged by comparing the enhanced verification signal with the original signal.

6. A current transformer secondary output signal normalization system used in coal mines as claimed in claim 5, characterized in that: The self-supervisory signal normalization supervision model includes the following construction steps: Collect text description information and device description information of the secondary signal of the current transformer; wherein the text description information is the first associated data of the influence of the signal characteristics on the normalization result; the device description information is the second associated data of the influence of the device characteristics of the verified entity object on the normalization result; Constructing first training sample data and second training sample data according to the first associated data and the second associated data; Inputting the first training sample data into a first model substructure based on the semantic vector, and outputting a first target vector; Inputting the second training sample data into a second model substructure based on the device parameters, and outputting a second target vector; An attribute constraint model is constructed according to the first target vector and the second target vector, a target self-supervision model is trained, and a self-supervision signal normalization supervision model is generated.

7. The current transformer secondary output signal normalization system used in coal mines according to claim 1, characterized in that: The fusion display interface and the signal display interface of the display unit are connected; Each signal display interface and fusion display interface is configured with a unique data transmission channel; The fusion display interface is used to perform waveform processing on the normalized secondary output signal to generate a normalized waveform; The fusion display interface and the signal display interface are connected to the preset visualization tool, and the corresponding display mode is generated according to the control instructions of the visualization tool.

8. The current transformer secondary output signal normalization system used in coal mines according to claim 1, characterized in that: The fusion display interface and the signal display interface are connected with a preset visualization tool, including: Receive visualization instructions from the user and determine the signal display interface that needs to be fused; Obtain raw data from different signal display interfaces and convert them into converted data that conforms to the preset visualization tool data format rules; According to user needs, configure data visualization requirement data; wherein the visualization requirement data includes attribute data of data visualization elements and attribute data of data visualization scene data; Use preset visualization tools to edit the converted data and generate data visualization elements that meet the requirements of attribute data; Use the data visualization engine to edit data visualization elements and generate data visualization scene data that meets the attribute data requirements; According to the data visualization scene data, different signal display interfaces are fused to generate data visualization resource files that conform to the preset visualization tool data format rules, and the visualization resource files are visualized through the fused display interface.

9. The current transformer secondary output signal normalization system used in coal mines according to claim 1, characterized in that: The display unit includes a preset visual interface configuration unit, and the visual interface configuration unit is used to dispatch the interface card template according to the specification identification of the secondary signal of the current transformer; Among them, the specification identification is generated by the signal connection port in the host after the current transformer is connected; The interface card template is a preset schedulable template for the fusion display interface and the signal display interface.

10. The current transformer secondary output signal normalization system used in coal mines according to claim 1, characterized in that: The display unit also includes an interface response mechanism; wherein the interface response mechanism is used to: Receive user operation behaviors on the fusion display interface and the signal display interface; According to the operation behavior, a mapping relationship between the fusion display interface and the signal display interface and the operation behavior is established; According to the mapping relationship, the corresponding target definition instruction is obtained on the preset rule engine; Define instructions according to the target and respond to user operations.

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