Equipment communication state automatic monitoring method and system

Abstract

The invention discloses an equipment communication state automatic monitoring method and system, and relates to the technical field of monitoring, a monitoring area of target equipment is determined, monitoring rule information is formulated based on the monitoring area, and the monitoring rule information comprises acquisition frequency information and a monitoring point array; acquiring an image in the monitoring area according to the monitoring rule information, and performing data processing on the image to obtain image information; and taking the target equipment corresponding to the image information which does not meet the preset condition as abnormal equipment, giving an alarm for the abnormal equipment according to an alarm mode, and storing alarm information. According to the invention, the state monitoring of the target equipment can be efficiently and accurately completed, so that the alarm result is more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of status monitoring, and in particular to a method and system for automatically monitoring the communication status of equipment. Background Art

[0002] As the scale and complexity of power grids increase, highly automated equipment in the computer room (such as switches, etc.) plays a key role in ensuring the safe and stable operation of the power grid. The status monitoring of the equipment can be understood through the status of the indicator light. When the equipment is working normally, the status of the indicator light meets the flashing requirements. When the equipment has a communication failure, the indicator light will not meet the flashing requirements. At present, the traditional manual inspection method is inefficient and requires the inspection personnel to have a certain fault judgment ability. It is easy to miss or misjudge equipment abnormalities due to human negligence or ability problems, and the efficiency and accuracy of equipment fault detection cannot be guaranteed. Summary of the invention

[0003] The purpose of the present invention is to provide a method and system for automatically monitoring the communication status of a device to solve the deficiencies in the background technology.

[0004] In order to achieve the above object, the present invention provides the following technical solution: a method for automatically monitoring the communication status of a device, comprising the following steps: Determine the monitoring area of ​​the target device, and formulate monitoring rule information based on the monitoring area, wherein the monitoring rule information includes collection frequency information and monitoring point array; According to the monitoring rule information, images are collected within the monitoring area, and data processing is performed on the images to obtain image information; The target device corresponding to the image information that does not meet the preset conditions is regarded as an abnormal device, and an alarm is issued to the abnormal device according to the alarm method and the alarm information is stored.

[0005] In a preferred embodiment, the step of determining the monitoring area of ​​the target device and formulating monitoring rule information based on the monitoring area includes: Select the monitoring range of the target device in the monitoring screen, and calibrate the monitoring range to obtain the monitoring area; Select multiple monitoring point areas in the monitoring area, and associate the multiple monitoring point areas by position to obtain a monitoring point array; Formulate the collection frequency information for the monitoring area, and use the collection frequency information and monitoring point array as monitoring rule information.

[0006] In a preferred embodiment, the step of collecting images within the monitoring area according to the monitoring rule information and performing data processing on the images to obtain image information includes: Collect images of arrays of monitoring points within the monitoring area according to the acquisition frequency information; The edge of the monitoring point area is demarcated as a calibration position, a calibration sub-device is set at the calibration position, and the status information of the calibration sub-device is obtained; The image information is obtained by extracting data from the image according to the status information of the calibrator.

[0007] In a preferred embodiment, the step of defining the edge of the monitoring point area as a calibration position, setting a calibration sub-unit at the calibration position, and obtaining status information of the calibration sub-unit includes: The edge of the monitoring point area is demarcated as the calibration position, multiple comparison points are set at the edge position and the internal position of the calibration position, and the corresponding brightness of the comparison points is set as the calibration sub; Set multiple background points in the monitoring area outside the monitoring point area, obtain the brightness corresponding to the background points for binding marking; The state information of the marker is obtained according to the background point, wherein the state information includes the opening time, opening duration and closing time of the marker being covered.

[0008] In a preferred embodiment, the step of acquiring the state information of the calibrator according to the background points includes: Acquire multiple background points within a preset range outside the edge position of the calibration position as associated background points, and associate the associated background points with the edge position of the calibration position and multiple calibration points in the internal position to obtain multiple associated groups; Establishing brightness difference bars between multiple associated groups, establishing trigger keys corresponding to the brightness difference bars to obtain analysis indexes, wherein the trigger keys are composed of multiple trigger points; The status information of the calibrator is recorded by the trigger key corresponding to the analysis index that meets the threshold.

[0009] In a preferred embodiment, the step of establishing brightness difference bars between a plurality of associated groups and establishing trigger keys corresponding to the brightness difference bars to obtain analysis indexes comprises: Corresponding brightness difference bars are configured for the plurality of associated groups respectively, wherein the brightness difference bars include brightness difference lines and difference line ends, a placement point is selected on the brightness difference line, and the difference line end is set on the placement point and bound; A trigger point corresponding to the brightness difference bar establishes a communication connection, and the trigger points corresponding to the plurality of brightness difference bars are combined to obtain a trigger key; When the brightness of the contrast point in the associated group is greater than the brightness of the corresponding associated background point and the brightness difference is not less than the brightness difference corresponding to the placement point, the corresponding connected trigger point is triggered through the difference line end; The number of trigger points corresponding to the brightness difference bar trigger and the time interval are obtained to calculate the analysis index, where the calculation formula of the analysis index is: ,in, To analyze the index, The number of trigger points corresponding to the brightness difference bar trigger, The edge position of the calibration position and the number of trigger points corresponding to the comparison points in the internal position, is the time interval for the trigger point to be triggered, is a constant greater than zero.

[0010] In a preferred embodiment, the step of extracting data from the image according to the state information of the calibrator to obtain image information includes: Obtaining the calibration position corresponding to the analysis index that meets the threshold in the monitoring area as the data extraction position; The state information of the marker corresponding to the data extraction position is used as image information, wherein the image information includes the turn-on time, turn-on duration and turn-off time of the indicator light.

[0011] The step of treating the target device corresponding to the image information that does not meet the preset conditions as an abnormal device, alarming the abnormal device according to the alarm method and storing the alarm information includes: In a preferred embodiment, preset conditions within the monitoring point area are formulated; The target device corresponding to the image information that does not meet the preset conditions is regarded as an abnormal device; Set the alarm mode, including sound and light alarm and SMS alarm; An alarm is issued to abnormal equipment according to the alarm method and the alarm information is stored, wherein the alarm information is the image information corresponding to the abnormal equipment.

[0012] The present invention also provides a device communication status automatic monitoring system, comprising: A formulation module, used to determine the monitoring area of ​​the target device, and formulate monitoring rule information based on the monitoring area, wherein the monitoring rule information includes acquisition frequency information and monitoring point array; A processing module, connected to the formulation module, is used to collect images within the monitoring area according to the monitoring rule information, and perform data processing on the images to obtain image information; The judgment module is connected to the processing module and is used to regard the target device corresponding to the image information that does not meet the preset conditions as an abnormal device, alarm the abnormal device according to the alarm method and store the alarm information.

[0013] In the above technical solution, the technical effects and advantages provided by the present invention are: The present invention can obtain the flashing duration and interval of the indicator light through the turn-on time, turn-on duration and turn-off time of the indicator light of the image information, and then can judge whether the preset conditions are met. After the judgment, the target device corresponding to the image information that does not meet the preset conditions is regarded as an abnormal device, and then an alarm mode is set on the device. When an abnormal device occurs, an alarm is directly issued according to the set alarm mode. There is no main control console. Here, one monitoring area corresponds to an independent and complete alarm system, which can efficiently and accurately complete the status monitoring of the target device, has a good information processing function, and makes the alarm result more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0015] Figure 1 The present invention is a flow chart of the method.

[0016] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0018] Example 1, please refer to Figure 1 As shown, the method for automatically monitoring the communication status of a device described in this embodiment includes the following steps: S1. Determine the monitoring area of ​​the target device, and formulate monitoring rule information based on the monitoring area, wherein the monitoring rule information includes collection frequency information and monitoring point array; S2. Collect images within the monitoring area according to the monitoring rule information, and process the images to obtain image information; S3. The target device corresponding to the image information that does not meet the preset conditions is regarded as an abnormal device, an alarm is issued to the abnormal device according to the alarm method, and the alarm information is stored.

[0019] In one embodiment, the step S1 of determining the monitoring area of ​​the target device and formulating monitoring rule information based on the monitoring area includes: S11, selecting the monitoring range of the target device in the monitoring screen, and calibrating the monitoring range to obtain the monitoring area; S12, selecting a plurality of monitoring point areas in the monitoring area, and performing position association on the plurality of monitoring point areas to obtain a monitoring point array; S13, formulating the collection frequency information of the monitoring area, and using the collection frequency information and the array of monitoring points as monitoring rule information; As described in the above steps S11-S13, first, the camera is installed at the position where the target device is to be monitored. The purpose here is to monitor the indicator light that displays the status of the target device. Therefore, the camera needs to face the indicator light to shoot. After the camera is installed, the indicator light picture captured by the camera can be displayed. The monitoring range of the target device in the monitoring picture can be selected. Since the range of the captured indicator lights is large (monitoring range), it is necessary to manually adjust the range of the monitoring indicator lights so that the indicator lights that need to be monitored can appear in the monitoring picture while ensuring that the monitoring picture is as small as possible (monitoring area), which can improve the accuracy of subsequent indicator light monitoring. After that, the AI ​​recognition system can automatically select the indicator lights that need to be monitored in the monitoring area. The specific operation is: the AI ​​recognition system will preprocess the input image, which is to convert the original image into a form that is more suitable for feature extraction and classification. The preprocessing may include grayscale The system uses the following methods to improve the clarity and recognizability of images: de-noising, binarization, edge detection, etc. For example, de-noising can remove irrelevant noise in the image, enhancement can improve the contrast or brightness of the image, and scaling and cropping can adjust the image to a suitable size and ratio. The system uses specific algorithms (manually designed feature extraction algorithms such as SIFT (Scale Invariant Feature Transform), SURF (Speeded Up Robust Features) or convolutional neural network algorithms) to extract key features that are helpful for identification from the preprocessed image. These features can be information on color, texture, shape, structure, etc. (here, feature extraction is performed according to the characteristics of the indicator light); after the feature points are extracted, the matching algorithm is used to compare the feature points with the feature points in the database to find the most similar feature point set; in order to improve the accuracy and efficiency of recognition, the extracted feature points are screened to remove those that do not meet the requirements or are redundant. The screen range where the indicator light is located here is the monitoring point area. For the stability and accuracy of subsequent monitoring, it is necessary to associate the positions of multiple monitoring point areas to form a monitoring point array. The position association operation between multiple monitoring point areas here is: after determining the positions of multiple monitoring point areas, connect the center points of multiple adjacent monitoring point areas to obtain the position relationship between multiple monitoring point areas. Then, when at least two monitoring points are determined later, the position of the entire monitoring point array can be determined, and the monitoring point area to be monitored can be better found. It has a good position determination function and helps the accuracy of monitoring point confirmation. After that, when monitoring the indicator light, it can be monitored according to the monitoring point array and the AI ​​recognition system to avoid the problem of inaccurate judgment of the subsequent target device status caused by incorrect identification of the indicator light, which can greatly improve the monitoring accuracy of the indicator light. After that, the acquisition frequency information of the monitoring area is formulated, wherein the acquisition frequency information is to regularly refresh the image window in the subsequent acquisition monitoring area, which can better serve the monitoring of the indicator light; In one embodiment, the step S2 of collecting images within the monitoring area according to the monitoring rule information and performing data processing on the images to obtain image information includes: S21, collecting images of the array of monitoring points in the monitoring area according to the collection frequency information; S22, demarcating the edge of the monitoring point area as a calibration position, setting a calibration sub-station at the calibration position, and obtaining status information of the calibration sub-station; S23, extracting data from the image according to the state information of the calibrator to obtain image information; In one embodiment, the step S22 of defining the edge of the monitoring point area as the calibration position, setting a calibration sub at the calibration position, and obtaining the status information of the calibration sub comprises: S221, demarcating the edge of the monitoring point area as a calibration position, setting a plurality of comparison points at the edge position and the inner position of the calibration position, and setting the corresponding brightness of the comparison points as calibration points; S222, setting a plurality of background points in the monitoring area outside the monitoring point area, obtaining the brightness corresponding to the background points for binding marking; S223, acquiring status information of the marker according to the background point, wherein the status information includes the opening time, opening duration, and closing time of the marker being covered; As described in the above steps S21-S23, the image of the monitoring point array in the monitoring area is collected according to the collection frequency information, the edge of the monitoring point area in the monitoring point array is demarcated as the calibration position, a calibrator is set at the calibration position, and the status information of the calibrator is obtained. The calibrator here is a point with brightness set at the edge of the monitoring point area and inside the monitoring point area. Then, the image information can be extracted from the image through the status information of the calibrator, wherein the image information is the turn-on time, turn-on duration and turn-off time of the indicator light in the image. The indicator light of the target device status can be quickly responded to, the abnormal response of the indicator light can be quickly monitored, and a rapid alarm can be realized. When obtaining the status information of the calibrator, it is necessary to determine the setting position of the calibrator, and the edge of the monitoring point area is demarcated as the calibration position. A plurality of comparison points are set at the edge position and the internal position of the calibration position. The comparison points are used as points (monitoring point area) for monitoring the position where the subsequent indicator light appears on the image screen. Then, the corresponding The brightness is set for the comparison point, and the information between the brightness and the corresponding comparison point is bound to obtain a calibrator. Multiple background points are set in the monitoring area outside the monitoring point area, and the brightness corresponding to the background point is obtained for binding marking. Since the camera is aimed at the monitoring area of ​​the target device, the position corresponding to the background point here is usually unchanged, so the brightness is the brightness of the indicator light that the background point does not correspond to. Therefore, in the actual monitoring process, there is an obvious difference between the brightness in the monitoring point area where the indicator light is located and the brightness corresponding to the background point. Therefore, it is necessary to set the background point as the brightness comparison of the calibrator. After that, after setting the calibrator and background points in the monitoring area, the covered opening time, opening duration and closing time of the calibrator are obtained through the background points as the status information of the calibrator. After that, after obtaining the status information of the calibrator, the image data can be extracted to obtain the image information. The image information is reflected as the opening time, opening duration and closing time of the indicator light through the status information, which can quickly respond to the alarm and improve the monitoring accuracy and efficiency. In one embodiment, the step S223 of acquiring the state information of the calibrator according to the background points includes: S2231, obtaining multiple background points within a preset range outside the edge position of the calibration position as associated background points, and associating the associated background points with the edge position of the calibration position and multiple calibration points in the internal position to obtain multiple associated groups; S2232, establishing brightness difference bars between multiple associated groups, and establishing trigger keys corresponding to the brightness difference bars to obtain analysis indexes, wherein the trigger keys are composed of multiple trigger points; S2233, recording the status information of the calibrator through the trigger key corresponding to the analysis index that meets the threshold; In one embodiment, the step S2232 of establishing brightness difference bars between a plurality of associated groups and establishing trigger keys corresponding to the brightness difference bars to obtain analysis indexes includes: S22321, respectively configuring corresponding brightness difference bars for the plurality of associated groups, wherein the brightness difference bars include brightness difference lines and difference line ends, selecting placement points on the brightness difference lines, setting the difference line ends on the placement points and binding them; S22322, establishing a trigger point for communication connection corresponding to the brightness difference bar, and combining the trigger points corresponding to the plurality of brightness difference bars to obtain a trigger key; S22323, when the brightness of the contrast point in the associated group is greater than the brightness of the corresponding associated background point and the brightness difference is not less than the brightness difference corresponding to the placement point, trigger the corresponding connected trigger point through the difference line end; S22324, obtaining the number of trigger points corresponding to the brightness difference bar trigger and the time interval to calculate and obtain an analysis index, wherein the calculation formula of the analysis index is: ,in, To analyze the index, The number of trigger points corresponding to the brightness difference bar trigger, The edge position of the calibration position and the number of trigger points corresponding to the comparison points in the internal position, is the time interval for the trigger point to be triggered, is a constant greater than zero. It should be noted that The larger the value of The smaller the value, the The larger the value, the stronger the indicator light is. As described in the above steps S2231-S2234, a single indicator light is currently taken as an example. Here, multiple background points within a preset range outside the edge position of the calibrated position of the single indicator light are used as associated background points. The background points are used to perform brightness comparison with the edge position of the calibrated position and multiple comparison points in the internal position. In order to better perform brightness comparison, the associated background points are respectively associated with the edge position of the calibrated position and multiple calibration points in the internal position to obtain multiple associated groups. The associated groups here can obtain whether there is a flashing indicator light at the edge position and the internal position of the calibrated position, which can better monitor the flashing light, improve the monitoring sensitivity of the flashing indicator light, and better monitor and alarm the status of the target device. Then, corresponding brightness difference bars are established for the corresponding multiple associated groups, wherein the brightness difference bar includes a brightness difference line and a difference line end. In addition, the difference line end is set The installation point is placed on the brightness difference line, wherein the installation point on the brightness difference line will correspond to a brightness difference value, and the brightness difference value corresponding to the installation point is used for communication triggering of the trigger point later, and the trigger point is set corresponding to the brightness difference bar, and the trigger point and the difference line end in the brightness difference bar are communication connected, when the brightness of the contrast point in the associated group is greater than the brightness of the corresponding associated background point and the brightness difference is not less than the brightness difference corresponding to the installation point, the corresponding connected trigger point is triggered through the difference line end, and then the number of trigger points and the time interval are obtained to calculate the analysis index, which can be used to judge the effectiveness and accuracy of light flickering, and can improve the monitoring accuracy and response ability of the target device, and the state information of the calibrator is recorded by the trigger key corresponding to the analysis index that meets the threshold, and the state information of the calibrator here is the covered opening time, opening duration and closing time of the calibrator.

[0020] In one embodiment, the step S23 of extracting data from the image according to the state information of the calibrator to obtain image information includes: S231, obtaining a calibration position corresponding to an analysis index that meets a threshold in the monitoring area as a data extraction position; S232, using the state information of the marker corresponding to the data extraction position as image information, wherein the image information includes the turn-on time, turn-on duration, and turn-off time of the indicator light; As described in the above steps S231 and S232, the calibration position corresponding to the analysis index that meets the threshold in the monitoring area is obtained as the data extraction position. The data extraction position here represents the area range of the indicator light that appears in the monitoring area. Then, the status information of the calibration sub corresponding to the data extraction position is obtained. The information is obtained through a trigger key. The trigger key is used to record and store the status information of the calibration sub. The status information of the calibration sub is the covered opening time, opening duration and closing time of the calibration sub. After the data extraction is completed, the status information of the calibration sub will be extracted and converted into image information including the opening time, opening duration and closing time of the indicator light. The flashing of the indicator light in the image can be quickly monitored, so that the alarm can be more efficiently issued, and the accuracy of the monitoring can be guaranteed to avoid the influence of other light, and the accuracy is high.

[0021] In one embodiment, the step S3 of treating the target device corresponding to the image information that does not meet the preset conditions as an abnormal device, alarming the abnormal device according to the alarm method and storing the alarm information includes: S31. Formulate preset conditions within the monitoring point area; S32, treating the target device corresponding to the image information that does not meet the preset conditions as an abnormal device; S33, setting an alarm mode, wherein the alarm mode includes sound and light alarm and SMS alarm; S34, alarming the abnormal device according to the alarm method and storing the alarm information, wherein the alarm information is the image information corresponding to the abnormal device; As described in the above steps S31-S34, the monitoring point area is the area in the monitoring screen where the indicator light is located, and corresponding preset conditions are formulated for the corresponding monitoring point area. The preset conditions here are the flashing duration and interval of the indicator light. The flashing duration and interval of the indicator light can be obtained through the turn-on time, turn-on duration and turn-off time of the indicator light in the image information, and then it can be judged whether the preset conditions are met. After judgment, the target device corresponding to the image information that does not meet the preset conditions is regarded as an abnormal device, and then an alarm mode is set on the device. When an abnormal device appears, an alarm is directly issued according to the set alarm mode. There is no main control console. Here, one monitoring area corresponds to an independent and complete alarm system, which can efficiently and accurately complete the status monitoring of the target device, has a good information processing function, and makes the alarm result more accurate.

[0022] Example 2, please refer to Figure 2 As shown, the automatic monitoring system for device communication status described in this embodiment includes: A formulation module, used to determine the monitoring area of ​​the target device, and formulate monitoring rule information based on the monitoring area, wherein the monitoring rule information includes acquisition frequency information and monitoring point array; A processing module, connected to the formulation module, is used to collect images within the monitoring area according to the monitoring rule information, and perform data processing on the images to obtain image information; The judgment module is connected to the processing module and is used to regard the target device corresponding to the image information that does not meet the preset conditions as an abnormal device, alarm the abnormal device according to the alarm method and store the alarm information.

[0023] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for automatically monitoring the communication status of a device, characterized in that: The following steps are involved: Determine the monitoring area of ​​the target device, and formulate monitoring rule information based on the monitoring area, wherein the monitoring rule information includes collection frequency information and monitoring point array; According to the monitoring rule information, images are collected within the monitoring area, and data processing is performed on the images to obtain image information; The target device corresponding to the image information that does not meet the preset conditions is regarded as an abnormal device, and an alarm is issued to the abnormal device according to the alarm method and the alarm information is stored.

2. A method for automatically monitoring the communication status of a device according to claim 1, characterized in that: The step of determining the monitoring area of ​​the target device and formulating monitoring rule information based on the monitoring area includes: Select the monitoring range of the target device in the monitoring screen, and calibrate the monitoring range to obtain the monitoring area; Select multiple monitoring point areas in the monitoring area, and associate the multiple monitoring point areas by position to obtain a monitoring point array; Formulate the collection frequency information for the monitoring area, and use the collection frequency information and monitoring point array as monitoring rule information.

3. The method for automatically monitoring the communication status of a device according to claim 1, characterized in that: The step of collecting images within the monitoring area according to the monitoring rule information and performing data processing on the images to obtain image information comprises: Collect images of arrays of monitoring points within the monitoring area according to the acquisition frequency information; The edge of the monitoring point area is demarcated as a calibration position, a calibration sub-device is set at the calibration position, and the status information of the calibration sub-device is obtained; The image information is obtained by extracting data from the image according to the status information of the calibrator.

4. A method for automatically monitoring the communication status of a device according to claim 3, characterized in that: The step of defining the edge of the monitoring point area as a calibration position, setting a calibration sub-unit at the calibration position, and obtaining status information of the calibration sub-unit comprises: The edge of the monitoring point area is demarcated as the calibration position, multiple comparison points are set at the edge position and the internal position of the calibration position, and the corresponding brightness of the comparison points is set as the calibration sub; Set multiple background points in the monitoring area outside the monitoring point area, obtain the brightness corresponding to the background points for binding marking; The state information of the marker is obtained according to the background point, wherein the state information includes the opening time, opening duration and closing time of the marker being covered.

5. A method for automatically monitoring the communication status of a device according to claim 4, characterized in that: The step of obtaining the status information of the calibrator according to the background points includes: Acquire multiple background points within a preset range outside the edge position of the calibration position as associated background points, and associate the associated background points with the edge position of the calibration position and multiple calibration points in the internal position to obtain multiple associated groups; Establishing brightness difference bars between multiple associated groups, establishing trigger keys corresponding to the brightness difference bars to obtain analysis indexes, wherein the trigger keys are composed of multiple trigger points; The status information of the calibrator is recorded by the trigger key corresponding to the analysis index that meets the threshold.

6. A method for automatically monitoring the communication status of a device according to claim 5, characterized in that: The step of establishing brightness difference bars between a plurality of associated groups and establishing trigger keys corresponding to the brightness difference bars to obtain analysis indexes comprises: Corresponding brightness difference bars are configured for the plurality of associated groups respectively, wherein the brightness difference bars include brightness difference lines and difference line ends, a placement point is selected on the brightness difference line, and the difference line end is set on the placement point and bound; A trigger point corresponding to the brightness difference bar establishes a communication connection, and the trigger points corresponding to the plurality of brightness difference bars are combined to obtain a trigger key; When the brightness of the contrast point in the associated group is greater than the brightness of the corresponding associated background point and the brightness difference is not less than the brightness difference corresponding to the placement point, the corresponding connected trigger point is triggered through the difference line end; The number of trigger points corresponding to the brightness difference bar trigger and the time interval are obtained to calculate the analysis index, where the calculation formula of the analysis index is: ,in, To analyze the index, The number of trigger points corresponding to the brightness difference bar trigger, The edge position of the calibration position and the number of trigger points corresponding to the comparison points in the internal position, is the time interval for the trigger point to be triggered, is a constant greater than zero.

7. A method for automatically monitoring the communication status of a device according to claim 6, characterized in that: The step of extracting data from the image according to the state information of the calibrator to obtain image information includes: Obtaining the calibration position corresponding to the analysis index that meets the threshold in the monitoring area as the data extraction position; The state information of the marker corresponding to the data extraction position is used as image information, wherein the image information includes the turn-on time, turn-on duration and turn-off time of the indicator light.

8. A method for automatically monitoring the communication status of a device according to claim 7, characterized in that: The step of treating the target device corresponding to the image information that does not meet the preset conditions as an abnormal device, alarming the abnormal device according to the alarm method and storing the alarm information includes: Establishing preset conditions within the monitoring point area; The target device corresponding to the image information that does not meet the preset conditions is regarded as an abnormal device; Set the alarm mode, including sound and light alarm and SMS alarm; An alarm is issued to abnormal equipment according to the alarm method and the alarm information is stored, wherein the alarm information is the image information corresponding to the abnormal equipment.

9. A device communication status automatic monitoring system, used to implement a device communication status automatic monitoring method according to any one of claims 1 to 8, characterized in that: include: A formulation module, used to determine the monitoring area of ​​the target device, and formulate monitoring rule information based on the monitoring area, wherein the monitoring rule information includes acquisition frequency information and monitoring point array; A processing module, connected to the formulation module, is used to collect images within the monitoring area according to the monitoring rule information, and perform data processing on the images to obtain image information; The judgment module is connected to the processing module and is used to regard the target device corresponding to the image information that does not meet the preset conditions as an abnormal device, alarm the abnormal device according to the alarm method and store the alarm information.

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