CN101163364B - Monitoring system and method for monitoring operation of electrical components using the monitoring system - Google Patents

Abstract

The invention discloses a monitoring system and a method of applying the monitoring system to monitor the operation of electric elements. The monitoring system comprises a detector, a controller and a monitoring center. The monitoring center receives temperature parameters information transmitted by the detector and the electric parameter information transmitted by the controller for processing, and then the monitoring center sends the control signal to the controller according to the processed results. The monitoring system also comprises an imaging device which is used for receiving the temperature parameter and electric parameter information transmitted by the monitoring center or the detector and displaying the information in the pattern of two-dimensional image. The detector comprises an infrared detector which can image through electronic scanning; the infrared is used for detecting the infrared radiation signal in the operation of the electric elements; the signal is processed by the monitoring center and then input into an imaging device, thus the monitoring system can directly detect the relationship between the luminous intensity of the arc lamp and the driving current and voltage and accurately detect the parameters such as the arc starting time; moreover, the monitoring system can control the high-efficiency operation of the arc lamp and is applicable to the operation of other electric elements.

Description

Monitoring system and method for monitoring operation of electrical components using the monitoring system

technical field

The invention relates to a monitoring system and a method for monitoring the operation of electrical components, in particular to a method for monitoring the operation of arc lamps using arc imaging technology.

Background technique

With the development of society and technological progress, people have increasingly strong requirements for energy saving in industrial production and social life. Lamps are energy-consuming products commonly used in our daily life and production. Whether they are energy-saving is very important for us to achieve our energy-saving goals.

Arc lamps, HID (high pressure intensity discharge) lamps, MH (metal halide) lamps, etc., have become the most popular light sources due to their advantages such as good color temperature, high luminous efficiency, stable brightness and long life. has received more and more attention.

Whether it can save energy depends on the luminous efficiency of the arc it produces, and the distribution of the arc temperature field is an intuitive method to study its luminous efficiency. At present, the measurement and research on the thermal efficiency of arc light is mainly based on observing the color of arc light and measuring its luminous intensity. The luminous intensity can only reflect the instantaneous average value, and the overall luminous intensity distribution of the transient arc cannot be obtained. It is also difficult to effectively detect and control the operation and luminous efficiency of the arc lamp.

Contents of the invention

The purpose of the present invention is to provide a simple and practical monitoring system and a method for monitoring the operation of electrical components using the monitoring system. The system and method can effectively detect and control the efficient operation of arc lamps or other electrical components.

The purpose of the present invention is achieved through the following technical solutions:

The monitoring system of the present invention is used to monitor the operation of electrical components, including a detection device, a control device and a monitoring center,

The detection device is electrically connected to the monitoring center, and is used to detect temperature parameters during the operation of the electrical components, and input them to the monitoring center after processing;

The control device is electrically connected to the control center, and is used to input electrical parameters during the operation of the electrical components to the monitoring center, and receive control signals from the monitoring center to control the operation of the electrical components;

The monitoring center is used to determine the electrical parameter corresponding to the optimal temperature parameter according to the temperature parameter information transmitted from the detection device and the electrical parameter information transmitted from the control device, and perform processing, and then send a control to the control device according to the processing result Signal.

It also includes an imaging device, which is used to receive temperature parameter and/or electrical parameter information from the monitoring center and/or detection device, and display it in a two-dimensional image.

Described detection device comprises:

The detector is used to detect and process the temperature parameters during the operation of the electrical components;

The temperature acquisition device is electrically connected to the detector, and is used to collect temperature parameter information detected by the detector, process it and input it to the monitoring center; and/or input the temperature parameter information to the imaging device.

The detector is an infrared detector, which can detect infrared thermal radiation signals during the operation of electrical components through electronic scanning and imaging, and convert the infrared thermal radiation signals into analog electrical signals and input them to the temperature acquisition device.

The electrical parameters are voltage and current, and the control device controls the voltage and current of the electrical components according to the control signal from the monitoring center.

The method for monitoring the operation of electrical components using the above-mentioned monitoring system of the present invention is characterized in that it includes the steps of:

A. The detection device detects the temperature parameters during the operation of the electrical components, and inputs them to the monitoring center after processing; the control device detects the electrical parameters during the operation of the electrical components and inputs them to the monitoring center;

B. The monitoring center processes the received temperature parameter information and electrical parameter information to obtain the electrical parameter corresponding to the optimal temperature parameter, and then sends a control signal to the control device according to the processing result;

C. The control device receives the control signal and controls the operation of the electrical components according to the control signal.

After described step B or step C, also include steps:

D. After the temperature parameter and/or electrical parameter information is processed by the monitoring center and/or the detection device, it is input to the display device, and the display device displays it in a two-dimensional image.

The step D includes that the detector detects the temperature parameter during the operation of the electrical component, and after processing, it is input to the temperature acquisition device,

The temperature acquisition device inputs the analog electrical signal of the temperature parameter to the imaging device; and/or,

The temperature acquisition device converts the analog electric signal of the temperature parameter into a digital signal, and then inputs the digital signal to the monitoring center, and the monitoring center processes it and then inputs it to the imaging device.

In said step D,

The detector detects the infrared heat radiation signal during the operation of the electrical components by means of electronic scanning imaging, and converts the infrared heat radiation signal into an analog electrical signal.

The processing function of the monitoring center includes performing image processing on the received temperature parameter information, and the image processing function includes at least one of the following functions:

Image filtering: eliminate image spots;

Image enhancement: increase image contrast;

Edge enhancement: increase image edge contrast;

Image Comparison: Shows the difference between two images;

Isothermal analysis: display the isothermal zone;

Histogram analysis: Give the histogram of the image to display the number of pixels in each gray level;

Area analysis: display the maximum value and/or average value and/or minimum value and/or histogram of the drawn area.

As can be seen from the technical solution provided by the present invention, the monitoring system of the present invention and the method for monitoring the operation of electrical components using the system include a detection device, a control device and a monitoring center, and the monitoring center receives the temperature sent by the detection device. The parameter information and the electrical parameter information sent by the control device are processed, and then a control signal is sent to the control device according to the result of the processing. The operation of the electrical components can be conveniently controlled according to the electrical parameters corresponding to the optimal temperature parameters.

Furthermore, because it also includes an imaging device, it is used to receive the temperature parameter and electrical parameter information transmitted from the monitoring center or the detection device, and display it in a two-dimensional image. It can intuitively display the changes of temperature parameters and electrical parameters, and compare them.

And because the detection device includes an infrared detector, it can detect the infrared heat radiation signal during the operation of the electrical component through electronic scanning imaging, and it is processed by the monitoring center and then input to the imaging device, which can intuitively detect the luminous intensity and drive of the electrical component. The relationship between current and voltage, and controls the efficient operation of electrical components.

It is mainly suitable for the monitoring of arc lamps, and also suitable for monitoring the operation of other electrical components.

Description of drawings

Fig. 1 is the structural representation of monitoring system of the present invention;

Fig. 2 is the arc image obtained at the time of power-on 1s according to a specific embodiment of the present invention;

Fig. 3 is the arc image obtained at the time of power-on 5s according to a specific embodiment of the present invention;

Fig. 4 is the variation curve diagram of electric current in the time 30s of setting in the specific embodiment of the present invention;

Fig. 5 is a curve diagram of voltage variation within a set time of 30s according to a specific embodiment of the present invention.

Detailed ways

The monitoring system of the present invention is used to monitor the operation of electrical components, and its preferred embodiment is to include a detection device, a control device and a monitoring center, the detection device is electrically connected to the monitoring center, and is used to detect the electrical components during operation. The temperature parameters are processed and input to the monitoring center; the control device is electrically connected to the control center, and is used to input the electrical parameters during the operation of the electrical components to the monitoring center, and receive the control signal from the monitoring center to control the operation of the electrical components; The center determines the electrical parameter corresponding to the optimal temperature parameter according to the temperature parameter information from the detection device and the electrical parameter information from the control device, and processes it, and then sends a control signal to the control device according to the processing result.

As shown in Figure 1, the monitoring system also includes a display device, that is, a monitor, which is used to receive temperature parameter or electrical parameter information from the monitoring center and display it in a two-dimensional image. Alternatively, the temperature parameter and electrical parameter information transmitted from the monitoring center can be simultaneously received and displayed in a two-dimensional image at the same time, so that the temperature parameter image and the electrical parameter image of the electrical components can be compared.

It can also receive temperature parameter information directly from the detection device and display it in a two-dimensional image.

The electrical components described here are described in detail by taking a HID (High Pressure Intensity Discharge) lamp as an example.

The monitoring center generally uses a computer to realize various control functions of the present invention through a host computer and built-in software. Also can replace computer with other single-chip microcomputer or PLC etc. here.

The detection device includes a detector, which is used to detect and process temperature parameters during the operation of the HID lamp. The temperature parameters here mainly refer to the distribution of the arc temperature field, and may also be other parameters.

It also includes a temperature acquisition device, which is electrically connected to the detector, and is used to collect the temperature parameter information detected by the detector, and input it to the monitoring center after processing; or input the temperature parameter information to the imaging device; or simultaneously input it to the monitoring center and Imaging device.

The detector is an infrared detector made of infrared focal plane material, and an infrared lens is arranged in front. Electronic scanning imaging can be used to detect infrared heat radiation signals during the operation of electrical components, and convert infrared heat radiation signals into analog electrical signals and input them to the temperature acquisition device.

After the temperature acquisition device receives the analog electrical signal of infrared thermal radiation, on the one hand, it can input the analog electrical signal to the monitor to display the image; on the other hand, it can first convert the analog signal into a digital signal, input it to the computer, and the computer performs image processing And then input to the monitor, the image obtained in this way has more visual effects.

The control device is electrically connected to the high-frequency electronic ballast of the HID lamp, and is used to input the electrical parameters during the operation of the high-frequency electronic ballast to the monitoring center, receive control signals from the monitoring center, and control the high-frequency electronic ballast. operation of the ballast. The electrical parameters are mainly voltage, current and start-up time, etc., and the control device controls the voltage and current of the electrical components according to the control signal from the monitoring center.

The present invention uses the above-mentioned monitoring system to monitor the method for the operation of electrical components, comprising the following steps:

Step 11, the detection device detects the temperature parameters during the operation of the electrical components, and inputs them to the monitoring center after processing; the control device detects the electrical parameters during the operation of the electrical components and inputs them to the monitoring center;

Step 12. The monitoring center processes the received temperature parameter information and electrical parameter information to obtain the electrical parameter corresponding to the optimal temperature parameter, and then sends a control signal to the control device according to the processing result.

Step 13, the control device receives the control signal, and controls the operation of the electrical components according to the control signal.

While carrying out the above steps, or after step 11, or after step 12, or after step 13, also carry out

Step 14: After the temperature parameter information and the electrical parameter information are processed by the monitoring center, they are input to the display device separately or simultaneously, and the display device displays the two-dimensional image. When the temperature parameter information and the electrical parameter information are simultaneously displayed in a two-dimensional image in the imaging device, the two can be visually compared.

Among them, the temperature parameter information can also be directly input to the imaging device by the detection device without being processed by the monitoring center, which can reduce the burden on the control center, but its visual effect is not as good as the image processed by the monitoring center.

In step 14, after the detector detects the temperature parameters during the operation of the electrical components and processes them, it is first input to the temperature acquisition device, and then the temperature acquisition device inputs the analog electrical signal of the temperature parameters to the imaging device. The detector mainly detects the infrared thermal radiation signal during the operation of the electrical components by means of electronic scanning imaging, and converts the infrared thermal radiation signal into an analog electrical signal.

Alternatively, the temperature acquisition device converts the analog electric signal of the temperature parameter into a digital signal, and then inputs the digital signal to the monitoring center, and the monitoring center processes it and then inputs it to the imaging device.

The processing function of the monitoring center includes performing image processing on the received temperature parameter information, so that the two-dimensional image displayed by the imaging device is more suitable for human visual effects.

The present invention studies the relationship between arc lamp luminous efficiency and electrical parameters through arc infrared thermal imaging technology to solve the problem that the overall luminous intensity distribution of transient arc cannot be obtained by conventional detection means, and integrates infrared thermal imaging, video, computer Control, image processing and recognition, artificial intelligence and other high-tech integrated detection methods, it can monitor the thermal state distribution of the arc production process online, provide control parameters for improving the luminous efficiency of the arc, and control the operation of the arc lamp.

The arc imaging described in the invention is based on infrared imaging technology, which mainly uses advanced infrared focal plane thermal sensing technology to convert infrared energy into visible video images, and uses different black and white gray levels to express arc surface temperature difference. On the basis of thermal image processing and analysis, highlight the content that the observer is interested in, and then understand the thermal distribution of the arc, and analyze the methods to improve its thermal efficiency. It provides a basis for saving energy, increasing the service life of arc lamps, and improving process conditions.

Any object whose temperature is higher than absolute zero radiates heat energy. The thermal imaging system measures the thermal radiation of the object and displays the thermal distribution of the object in the form of a two-dimensional visual image, and then performs temperature measurement and fault diagnosis.

The Stephen-Boltzmann law is the theoretical basis for thermal radiation. According to this theory, the full-band radiance M of an object is proportional to the fourth power of its absolute temperature T, namely:

M=σ×ε×T ⁴ (1)

Where σ=5.7×10 ⁸ w/m ² K: Stephen-Boltzmann proportional coefficient;

ε≤1: The emissivity of the object, when the object is an absolute black body, ε=1.

Therefore, the temperature of a target can be determined by measuring its irradiance. Arc imaging technology is to use two-dimensional images to represent the temperature distribution of the arc surface by measuring the irradiance of the arc, and to measure the surface temperature distribution area.

Usually, it is more complicated to directly calculate the temperature from formula (1), and we can use the temperature calibration technology to realize the conversion from radiation to temperature.

The calibration method is to test the entire system to find out the relationship between the temperature of the black body and the gray value of the image. We describe this relationship in a table, called a temperature lookup table, represented by the matrix Tb[]. A pair of data consisting of the measured blackbody temperature 1 and the gray value d of the corresponding point on the image is called a calibration sample, and their relationship is t-Tb[d].

Since the temperature and irradiance are non-linear, it is necessary to have enough calibration samples to determine the temperature look-up table. Using data fitting technology, a complete temperature lookup table is established on the computer, and then the target temperature is accurately calculated according to this lookup table.

In actual use, each system needs to be calibrated with a black body furnace. When actually measuring the temperature, the temperature value T at any point on the target image is given by the following formula:

T-Tb[d]×m/ε(2)

Among them, m is an adjustment factor, which is used to adjust the influence of other factors (such as distance, dust, smoke, etc.) on the temperature measurement accuracy.

The monitoring device of the present invention uses infrared focal plane material as a detector, and forms images through electronic scanning. The working wavelength of the detector is 0.8～2.0μM, which is suitable for measuring high-temperature objects. It does not need refrigeration, can resist strong magnetic field interference, and has good stability. The detector converts the received infrared heat radiation into electrical signals, and the analog The electrical signal becomes a digital signal, which is input to a computer, and then processed by software to display the digitized heat radiation signal on the monitor in the form of a two-dimensional image. Using computer image processing and pattern recognition technology to perform a series of processing and analysis on thermal images such as filtering, enhancement, and area analysis, the acquired images can be stored in the magnetic recording device for further analysis in the future. The control device is designed with two inputs and two outputs. The two inputs collect the arc drive current and voltage from the high-frequency current ballast. The current and voltage are displayed on the screen synchronously with the arc temperature image, which can be observed very intuitively. The corresponding relationship between the drive current and voltage and the arc light intensity, according to the needs, the two outputs of the controller can send control signals to the high-frequency current ballast to control the drive current and voltage.

The main functions of the software system of the control center are shown in Table 1.

Table 1: Software Function Table

Function describe Real-time temperature measurement Real-time display of temperature arc image, temperature value and driving current value continuous input Continuously input and store arc image and driving current value Timing input image Timing input dynamically displays arc image and driving current value real-time analysis Real-time analysis of the temperature distribution and driving current value of the drawn area spot temperature function Can accurately measure the temperature of any point

Temperature distribution curve Display the horizontal and vertical temperature distribution curves of the temperature measurement points Color/grayscale conversion Display arc images in false color and grayscale image annotation Add Chinese annotations to arc light images Image filtering Eliminate arc image spots image enhancement Increase arc image contrast edge enhancement Increase the edge contrast of the arc image image comparison Show the difference between two arc images Isothermal analysis show isothermal zone Histogram analysis Give the histogram of the arc image Regional Analysis Display the maximum value/average value/minimum value/histogram of the drawn area Isotherm Give the isotherm curve for a given temperature image storage Common Windows image format storage Temperature report Illustrated temperature measurement report Control signal output Output two control signals

The software of the control center can include one or more functions in Table 1, which can be selected arbitrarily according to needs.

Some main software functions and algorithms are described below:

Function 11. Image input:

The image input function inputs the image from the detector to the real-time display on the screen. Various input methods such as real-time measurement, continuous input, timing input image, and real-time analysis are provided here.

Function 12. Observe image:

Observing the image is mainly to measure the temperature of the thermal image. When observing the image with 16 colors, use the cursor to move on the image to observe the temperature value at any point and the temperature distribution curve of the row and column where the cursor is located, and the temperature of multiple points can also be recorded. When there are more than 10 temperature measurement points, use the queue structure to modify the temperature measurement point list and temperature measurement point symbols. Isotherm display for thermal images while viewing images in 256 colors.

Function 13. Image processing:

Image processing is to calculate and process images to meet special requirements and achieve special visual effects. The characteristic of thermal image is that it not only has visual effects, but also can express the size of the quantity (temperature value). When processing a thermal image, its visual effect can change, but the quantity it represents should remain the same. To achieve this, the system establishes a grayscale-temperature conversion table, which needs to be updated after the thermal image has been processed. Through the thermal image processing, it can fully utilize its automatic detection and analysis capabilities, and mine the potential information of the image.

First, assume that Fo(x, y) and Fp(x, y) are the image functions before and after processing, respectively, including,

Function 131, image filtering:

Image filtering is similar to the filtering of one-dimensional signals. It mainly refers to the removal of mixed noise in the image (expressed as some spots), and in fact plays a smoothing effect on the image.

Image filtering adopts median filtering. This filtering method does not change the value range of neighboring points, and the processed image does not affect the temperature measurement. In addition, because this method does not perform mathematical operations, the speed is relatively fast. The filter function is:

Fp(x,y)=mid{Fo(x,y), Fo(x,y-1), Fo(x,y+1), Fo(x+1,y), Fo(x+1,y )}

Function 132, edge enhancement:

Image edge enhancement is to process and calculate the image to make its outline stand out and increase the human visual effect. This processing facilitates the location of fault points. In fact, it is the sharpening of the image. Here, the unsharp masking method is used, and its expression is:

G(x,y)F(x,y)+c[ΔF(x,y)]

为均值。c为加权因子。设Fo(x，y)为算术平均值，c-10则Where ΔF(x, y)=F(x, y) F(x, y) is the high frequency increment,

is the mean value. c is the weighting factor. Let Fo(x, y) be the arithmetic mean, c-10 then

The corresponding mask is $W=\left[\begin{array}{ccc}0& -2& 0\\ -2& 9& -2\\ 0& -2& 0\end{array}\right]$

Fp(x,y)=9Fo(x,y)-2Fo(x,y-1)-2Fo(x,y+1)-2Fo(x-1,y)-2Fo(x+1,y)

Function 133, grayscale enhancement:

Grayscale enhancement is to expand the grayscale of the image to a full scale, so that the minimum grayscale of the processed image is 0 and the highest grayscale is 255. Its algorithm adopts linear scaling method.

Function 134, histogram:

A histogram is used to display the number of pixels in each gray level. Used to count the thermal distribution of the entire image.

Function 135. Image comparison:

Image comparison is to perform logical or arithmetic operations on two images, and then display them on the screen together with the input original image for comparison. In this way, the temperature change of the same target in different periods and the temperature difference of different targets can be compared. The operations of the four images are: image AND operation (display the same point), image subtraction operation (display difference value), image XOR operation (display different point) and image inversion.

Function 136, isothermal distribution:

The isothermal distribution is to identify the selected temperature segment, identify the point in the image equal to the selected temperature value, and form an isothermal image for display. Using the grayscale segmentation algorithm, its expression is:

$\mathrm{<span\; class="notranslate">\; Fp</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; the\; y</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\left\{\begin{array}{cc}\mathrm{<span\; class="notranslate">\; Fo</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; the\; y</span>}<span\; class="notranslate">\; )</span>& \mathrm{<span\; class="notranslate">\; Fo</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; the\; y</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \&Element;</span><span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; T</span>}\mathrm{<span\; class="notranslate">\; min</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; T</span>}\mathrm{<span\; class="notranslate">\; max</span>}<span\; class="notranslate">\; ]</span>\\ \mathrm{<span\; class="notranslate">\; 0</span>}& \mathrm{<span\; class="notranslate">\; other</span>}\end{array}\right.$

Where Tmax and Tmin are the upper and lower limits of the selected temperature segment.

Function 137, image cropping:

Image cropping is to trim the image, remove the useless part and keep the useful part. Its basic algorithm is:

$\mathrm{<span\; class="notranslate">\; Fp</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; the\; y</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\left\{\begin{array}{ccc}& \mathrm{<span\; class="notranslate">\; Fo</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; the\; y</span>}<span\; class="notranslate">\; )</span>& \mathrm{<span\; class="notranslate">\; other</span>}\\ \mathrm{<span\; class="notranslate">\; 0</span>}& {\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; o</span>}}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; \&le;</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}& {\mathrm{<span\; class="notranslate">\; <figure-callout\; id="0"\; label="v"\; filenames="H061B3753920061103E000014.png,H061B3753920061103E000015.png"\; state="\{\{state\}\}">v</figure-callout></span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; the\; y</span>}<span\; class="notranslate">\; \&le;</span>{\mathrm{<span\; class="notranslate">\; the\; <figure-callout\; id="1"\; label="y"\; filenames="H061B3753920061103E000014.png,H061B3753920061103E000015.png"\; state="\{\{state\}\}">y</figure-callout></span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}\end{array}\right.$

where (x0, y0) and (x1, y1) are the top left and bottom right corners of the selected rectangle, respectively.

The cropping function can be used repeatedly to cut out the desired area.

Function 138, regional analysis:

Regional analysis is to calculate and display the histogram, maximum temperature, minimum temperature and average temperature of the drawn area at the same time, and can perform local amplification and local enhancement processing on the drawn area.

Function 139, edge detection:

Edge detection is very important for locating hot spots. The edge detection based on wavelet transform is adopted here.

Specific examples:

HID high-efficiency energy-saving lamps and high-frequency ballasts developed by the Green Power Laboratory of North China University of Technology are selected. The purpose is to measure and understand the relationship between the luminous intensity distribution of the HID lamp and the driving current and voltage, and measure parameters such as arc start time. With conventional means, it is impossible to obtain intuitive and accurate measurement results.

Aim the detector at the HID lamp, and connect the current and voltage of the high-frequency ballast to the two input terminals of the control device through the converter. The image input method is real-time measurement.

As shown in Figure 2, it is the arc image acquired at the time of power-on 1s, and the driving current and voltage displayed at this time are 1A and 1KV respectively.

As shown in Figure 3, it is the arc image acquired at the time of power-on 5s, and the driving current and voltage displayed at this time are 1.8A and 2KV respectively. You can intuitively see the distribution of the luminous intensity of the HID lamp and the corresponding relationship with the driving current and voltage, and it can also be seen that the start-up time is greater than 1s.

Switch the image input mode to continuous input mode, set the continuous measurement time to 30s, and collect images and drive current and voltage continuously within the set time, as shown in Figure 4 and Figure 5, within the set time of 30s Variation curves of current and voltage. By analyzing the data collected in continuous time, it can be seen intuitively that the starting time of the HID lamp is 3s, which corresponds to the stable moment of the image, current and voltage.

The arc imaging and electrical parameter measurement method based on infrared imaging technology can intuitively measure and understand the relationship between the luminous intensity distribution of HID lamps and the driving current and voltage, and accurately measure parameters such as arc start time, which solves the problem that cannot be obtained by conventional means. Intuitive, accurate measurement results matter. Through a large number of experiments and analysis, the relationship model between arc light and driving parameters can be established, and the output signal provided by arc light imaging and electrical parameter measurement methods can be used to control the arc light in a low power consumption state to achieve the best energy-saving purpose.

The above is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present invention can easily think of changes or Replacement should be covered within the protection scope of the present invention.

Claims (2)

1. A monitoring system for monitoring the operation of electrical components, characterized in that it includes a detection device, a control device and a monitoring center, The detection device is electrically connected to the monitoring center, and is used to detect temperature parameters during the operation of the electrical components, and input them to the monitoring center after processing; The control device is electrically connected to the monitoring center, and is used to input electrical parameters during the operation of the electrical components to the monitoring center, and receive control signals from the monitoring center to control the operation of the electrical components; The monitoring center is used to determine the electrical parameter corresponding to the optimal temperature parameter according to the temperature parameter information transmitted from the detection device and the electrical parameter information transmitted from the control device, and perform processing, and then send a control to the control device according to the processing result Signal; The monitoring system also includes an imaging device, which is used to receive temperature parameter and/or electrical parameter information from the monitoring center and/or detection device, and display it in a two-dimensional image; Described detection device comprises: The detector is used to detect and process the temperature parameters during the operation of the electrical components; The temperature acquisition device is electrically connected to the detector, and is used to collect the temperature parameter information detected by the detector, and input it to the monitoring center after processing; and/or input the temperature parameter information to the imaging device; The detector is an infrared detector, which can detect infrared thermal radiation signals during the operation of electrical components through electronic scanning and imaging, and convert the infrared thermal radiation signals into analog electrical signals and input them to the temperature acquisition device; The electrical parameters are voltage and current, and the control device controls the voltage and current of the electrical components according to the control signal from the monitoring center. 2. A method for monitoring the operation of electrical components by a monitoring system according to claim 1, comprising the steps of: A. The detection device detects the temperature parameters during the operation of the electrical components, and inputs them to the monitoring center after processing; the control device detects the electrical parameters during the operation of the electrical components and inputs them to the monitoring center; B. The monitoring center processes the received temperature parameter information and electrical parameter information to obtain the electrical parameter corresponding to the optimal temperature parameter, and then sends a control signal to the control device according to the processing result; C. The control device receives the control signal and controls the operation of the electrical components according to the control signal; After described step B or step C, also include steps: D. After the temperature parameter and/or electrical parameter information is processed by the monitoring center and/or the detection device, it is input to the imaging device, and the imaging device displays it in a two-dimensional image; Described step D comprises, detector detects the temperature parameter in the operation process of electrical component, after processing, input to the temperature acquisition device, The temperature acquisition device inputs the analog electrical signal of the temperature parameter to the imaging device; and/or, The temperature acquisition device converts the analog electrical signal of the temperature parameter into a digital signal, and then inputs the digital signal to the monitoring center, and the monitoring center processes it and then inputs it to the imaging device; In said step D, The detector detects the infrared thermal radiation signal during the operation of the electrical components by means of electronic scanning imaging, and converts the infrared thermal radiation signal into an analog electrical signal; The processing function of the monitoring center includes performing image processing on the received temperature parameter information, and the image processing function includes at least one of the following functions: Image filtering: eliminate image spots; Image enhancement: increase image contrast; Edge enhancement: increase image edge contrast; Image Comparison: Shows the difference between two images; Isothermal analysis: display the isothermal zone; Histogram analysis: Give the histogram of the image to display the number of pixels in each gray level; Area analysis: display the maximum value and/or average value and/or minimum value and/or histogram of the drawn area. the

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