Hard plate monitoring method, system, terminal and medium based on magnetic induction sensor

Abstract

The present invention discloses a hard pressing plate monitoring method, system, terminal and medium based on magnetic induction sensor, the method comprising: after all operation instructions in the operation ticket are executed, collecting detection data of all magnetic induction sensors in the screen cabinet; photographing the equipment image in the screen cabinet, obtaining the first state of each hard pressing plate in the screen cabinet according to the equipment image, the equipment image at least including the images of all hard pressing plates in the screen cabinet; determining the mode of the magnetic induction sensor corresponding to the hard pressing plate according to the first state of the hard pressing plate; based on the mode of the magnetic induction sensor, performing fault determination on the magnetic induction sensor according to the detection data; when determining that the magnetic induction sensor is faulty, generating alarm information and sending it to the monitoring background. The state of the hard pressing plate obtained according to the magnetic induction sensor signal can be checked and confirmed to prevent misoperation or false alarm due to misjudgment.

Description

Technical Field

[0001] The present invention relates to the technical field of substation monitoring, and in particular to a hard pressing plate monitoring method, system, terminal and medium based on a magnetic induction sensor. Background Art

[0002] A hard pressure plate refers to a mechanical device used to control the input or output of a circuit. The input state of the hard pressure plate means that the relevant circuit is connected, while the output state means that the circuit is disconnected. Magnetic induction sensors can be used to detect the state of the hard pressure plate, that is, they can sense the changes in the magnetic field caused by the position change of the hard pressure plate. By installing a magnetic induction sensor above or below each hard pressure plate, the pressure plate state collector can determine the input and output state of the hard pressure plate based on the signal of the magnetic induction sensor, realize automatic monitoring of the hard pressure plate state, and prevent misoperation during the pressure plate input and output operation.

[0003] The sensitivity of the magnetic induction sensor itself will decrease due to factors such as component aging, magnetic field deviation, temperature change, etc., resulting in inaccurate output signals. However, the current hard platen monitoring method only focuses on detecting the insertion and retraction status of the hard platen, and does not determine whether the magnetic induction sensor itself is faulty, resulting in the hard platen monitoring system misjudging the hard platen status, resulting in false operation or false alarm. Summary of the invention

[0004] The main purpose of the present invention is to provide a hard pressure plate monitoring method, system, intelligent terminal and computer-readable storage medium based on a magnetic induction sensor, so as to solve the problem that the existing hard pressure plate monitoring system misjudges the state of the hard pressure plate due to the failure of the magnetic induction sensor, resulting in malfunction or false alarm.

[0005] In order to achieve the above object, the first aspect of the present invention provides a hard platen monitoring method based on a magnetic induction sensor, comprising:

[0006] When all the operation instructions in the operation ticket are executed, the detection data of all magnetic induction sensors in the screen cabinet are collected;

[0007] Taking a device image in the screen cabinet, and obtaining a first state of each hard pressing plate in the screen cabinet according to the device image, wherein the device image at least includes images of all the hard pressing plates in the screen cabinet;

[0008] determining a mode of a magnetic induction sensor corresponding to the hard pressing plate according to a first state of the hard pressing plate;

[0009] Based on the mode of the magnetic induction sensor, performing a fault determination on the magnetic induction sensor according to the detection data;

[0010] When the magnetic induction sensor is judged to be faulty, an alarm message is generated and sent to the monitoring background.

[0011] Optionally, the performing fault determination on the magnetic induction sensor based on the detection data based on the mode of the magnetic induction sensor includes:

[0012] Based on the modes of the magnetic induction sensors, all the magnetic induction sensors are divided into a number of sensor groups;

[0013] Calculating the average value of each sensor group according to the detection data of all magnetic induction sensors in the sensor group;

[0014] The sensor group is traversed to calculate the difference between the detection data of each magnetic induction sensor in the current sensor group and the average value of the current sensor group. When the difference exceeds a preset threshold, it is determined that the magnetic induction sensor corresponding to the difference is faulty.

[0015] Optionally, based on the modes of the magnetic induction sensors, all the magnetic induction sensors are divided into a number of sensor groups, including:

[0016] Based on the modes of the magnetic induction sensors, all the magnetic induction sensors are divided into several large groups;

[0017] Based on the environmental index and the equipment index of the magnetic induction sensor, collecting the index data of each magnetic induction sensor;

[0018] Based on the indicator data, calculating the Spearman rank correlation coefficient between every two magnetic induction sensors in the large group;

[0019] Based on the Spearman rank correlation coefficient, each of the large groups is divided into a number of the sensor groups.

[0020] Optionally, determining a mode of a magnetic induction sensor corresponding to the hard pressing plate according to the first state of the hard pressing plate includes:

[0021] Acquiring a corresponding relationship between the hard pressing plate and the magnetic induction sensor;

[0022] According to the corresponding relationship, determining the magnetic induction sensor corresponding to the hard pressing plate;

[0023] Based on a comparison table of hard pressure plate states and magnetic induction sensor modes, the mode of the magnetic induction sensor is determined according to the first state of the hard pressure plate.

[0024] Optionally, obtaining the first state of each hard pressing plate in the screen cabinet according to the device image includes:

[0025] Performing edge detection on the device image to obtain edge information;

[0026] Based on the edge information, the contour of each hard pressing plate is obtained according to a contour detection algorithm;

[0027] Detect whether there is a protrusion on the side of the contour, and obtain the first state of each hard pressing plate according to the detection result.

[0028] Optionally, the generating of alarm information includes:

[0029] Obtaining a second state of the hard pressing plate corresponding to the faulty magnetic induction sensor from the hard pressing plate state collector;

[0030] The alarm information is generated according to the first state, the second state and detection data of the magnetic induction sensor that fails.

[0031] The second aspect of the present invention provides a hard plate monitoring system based on a magnetic induction sensor, comprising:

[0032] The acquisition module is used to collect the detection data of all magnetic induction sensors in the screen cabinet after all the operation instructions in the operation ticket are executed;

[0033] A hard pressing plate state module is used to capture a device image in the screen cabinet, and obtain a first state of each hard pressing plate in the screen cabinet according to the device image, wherein the device image at least includes images of all hard pressing plates in the screen cabinet;

[0034] A magnetic induction sensor mode module, used to determine a mode of a magnetic induction sensor corresponding to the hard pressing plate according to the first state of the hard pressing plate;

[0035] a determination module, configured to perform a fault determination on the magnetic induction sensor according to the detection data based on the mode of the magnetic induction sensor;

[0036] The alarm module is used to generate an alarm message and send it to the monitoring background when it is determined that the magnetic induction sensor fails.

[0037] Optionally, the determination module includes a grouping unit, an average unit and a traversal unit, the grouping unit is used to divide all the magnetic induction sensors into a number of sensor groups based on the mode of the magnetic induction sensors; the average unit is used to calculate the average of each sensor group according to the detection data of all the magnetic induction sensors in the sensor group; the traversal unit is used to traverse the sensor group, calculate the difference between the detection data of each magnetic induction sensor in the current sensor group and the average of the current sensor group, and when the difference exceeds a preset threshold, determine that the magnetic induction sensor corresponding to the difference is faulty.

[0038] A third aspect of the present invention provides an intelligent terminal, which includes a memory, a processor, and a hard pressure plate monitoring program based on a magnetic induction sensor stored in the memory and executable on the processor. When the hard pressure plate monitoring program based on a magnetic induction sensor is executed by the processor, any step of the hard pressure plate monitoring method based on a magnetic induction sensor is implemented.

[0039] The fourth aspect of the present invention provides a computer-readable storage medium, on which is stored a hard pressure plate monitoring program based on a magnetic induction sensor. When the hard pressure plate monitoring program based on a magnetic induction sensor is executed by a processor, any step of the hard pressure plate monitoring method based on a magnetic induction sensor is implemented.

[0040] As can be seen from the above, after all the operation instructions in the operation ticket are executed, the present invention analyzes the equipment image in the screen cabinet to determine the first state reflecting the hardware operation of the hard pressure plate, determines the mode of the magnetic induction sensor according to the first state, and then determines whether the magnetic induction sensor is faulty according to the mode of the magnetic induction sensor and the detection data of the magnetic induction sensor. When a fault is determined, an alarm message is sent to the monitoring background to check and confirm the state of the hard pressure plate obtained according to the magnetic induction sensor signal to prevent false operations or false alarms due to misjudgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0042] Figure 1 A schematic flow chart of a hard pressing plate monitoring method based on a magnetic induction sensor provided in an embodiment of the present invention;

[0043] Figure 2 A schematic diagram of a process for determining a fault of a magnetic induction sensor provided by an embodiment of the present invention;

[0044] Figure 3 A schematic diagram of a process for dividing a magnetic induction sensor into a plurality of sensor groups provided in an embodiment of the present invention;

[0045] Figure 4 is a structural schematic diagram of a hard pressing plate monitoring system based on a magnetic induction sensor provided in an embodiment of the present invention;

[0046] Figure 5 It is a block diagram of the internal structure principle of an intelligent terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0049] At present, the magnetic induction sensors used on the hard pressure plate of the substation are mainly: reed switch and Hall effect sensor. The detection principle of the reed switch is: when the hard pressure plate is put into operation, there is a magnetic field approaching, and the contacts in the reed switch will close; the detection principle of the Hall effect sensor is: when the hard pressure plate is put into operation, the magnetic field strength near the Hall effect sensor will change.

[0050] During use, the sensitivity of the magnetic induction sensor itself will decrease due to factors such as component aging, magnetic field deviation, temperature change, etc., resulting in inaccurate output signals. For example, the reed switch is sensitive to external magnetic fields. If there is strong magnetic field interference in the substation, it may cause the reed switch to malfunction; the output of the Hall effect sensor will be affected by temperature changes. In a high or low temperature environment, the accuracy and linearity of the Hall effect sensor may decrease. In addition, the Hall effect sensor will also be interfered by the magnetic field generated by other magnetic objects or currents.

[0051] In order to prevent the magnetic induction sensor signal deviation caused by the failure of the magnetic induction sensor itself or the abnormal surrounding environment, which leads to the wrong judgment of the hard pressure plate status, the present invention determines the mode of the magnetic induction sensor by analyzing the equipment image in the screen cabinet, and then determines whether the magnetic induction sensor is faulty according to the mode of the magnetic induction sensor and the detection data of the magnetic induction sensor, thereby sending an alarm message to the monitoring background to check and confirm the hard pressure plate status judged by the pressure plate status collector to prevent malfunction or false alarm.

[0052] The embodiment of the present invention provides a hard platen monitoring method based on a magnetic induction sensor, which runs on a platen status collector. After the hard platen is operated according to the operation ticket, it is judged whether the magnetic induction sensor is faulty. When it is judged to be faulty, an alarm message is sent to the monitoring background to check and confirm the state of the hard platen, prevent misjudgment, and improve operation safety. However, the hard platen monitoring method of the present invention is not limited to running on a platen status collector, but can also run on other electronic devices in the screen cabinet, such as an intelligent platen controller.

[0053] like Figure 1 As shown, the specific steps include:

[0054] Step S100: After all the operation instructions in the operation ticket are executed, the detection data of all magnetic induction sensors in the screen cabinet are collected;

[0055] When the hard plate is put into operation, that is, in the closed state, it means that the current begins to flow. According to the principle of electromagnetic induction, the flow of current will generate a magnetic field. The magnetic induction sensor (such as the Hall effect sensor) will detect this magnetic field and output detection data proportional to the magnetic field strength. This detection data may be an analog signal (such as voltage or current changes) or a specific value (such as a high level or a low level). There is no specific restriction, depending on the type and purpose of the magnetic induction sensor (such as used to monitor the position status of equipment such as circuit breakers and disconnectors, or to detect overcurrent protection).

[0056] When performing pressure plate operation on the substation, the operator takes the computer key to the distribution room and inserts the computer key into the key interface of the target panel cabinet. The intelligent pressure plate controller receives the operation instructions issued by the computer key, lights up the pressure plate that needs to be operated, and prompts the operator to operate.

[0057] When all the operation instructions in the operation ticket are executed, the operation results including the pressure plate status detection results are sent back to the anti-error system through the computer key. The pressure plate management system verifies the pressure plate status according to the typical operation diagram of the pressure plate corresponding to the primary system operation mode. If it is inconsistent with the typical operation diagram, an alarm will be prompted.

[0058] If the magnetic induction sensor itself fails or the surrounding environment is abnormal, it is necessary to upload information related to the fault judgment result of the magnetic induction sensor when returning the operation result, so that the error prevention system can make a correct judgment.

[0059] Therefore, in this embodiment, after all the operation instructions in the operation ticket are executed, the detection data of all the magnetic induction sensors in the screen cabinet are collected to determine whether the magnetic induction sensors are faulty based on these detection data. Since the pressure plate state collector in the existing screen cabinet receives the signal data of each magnetic induction sensor, the state of the hard pressure plate is determined based on these signal data. Therefore, the detection data of each magnetic induction sensor can be obtained from the pressure plate state collector.

[0060] Step S200: photographing a device image in the screen cabinet, and obtaining a first state of each hard pressing plate in the screen cabinet according to the device image, wherein the device image at least includes images of all the hard pressing plates in the screen cabinet;

[0061] First, high-resolution cameras need to be installed to collect images of the equipment in the substation cabinet. These cameras should be able to clearly capture the details on the hard pressure plate, such as the angle of the pressure piece on the hard pressure plate, the label information of the hard pressure plate, etc. The acquired equipment images include not only the hard pressure plate, but also other equipment in the cabinet. However, it should be noted that the equipment images must at least include images of all the hard pressure plates in the cabinet with magnetic induction sensors installed.

[0062] Since the monitoring method of the present invention is run on the device side of the screen cabinet, not on a computer or server, therefore, considering the limited computing performance of the device, an image recognition model is not used to identify the device image as in conventional operations. Instead, an edge detection algorithm is first used to perform edge detection on the device image. After obtaining the edge information, a contour detection algorithm is used to obtain images of various contours. The images of various contours are screened according to the length, width, height and other dimensions of the hard pressing plate to obtain the contour of each hard pressing plate. The hard pressing plate has two states: an engaged state and an exit state. In the engaged state, the pressing sheet of the hard pressing plate coincides with the connecting line of the two connecting columns of the hard pressing plate, and the contour shape of the hard pressing plate is a rectangle. In the exit state, the pressing sheet of the hard pressing plate forms an angle with the two connecting columns of the hard pressing plate, and there is a protrusion on the side of the contour of the hard pressing plate. Therefore, according to the shape of the contour, the first state (exit state or engaged state) of each hard pressing plate can be obtained.

[0063] In one example, after obtaining the device image, the device image is also preprocessed to improve the accuracy of identifying the first state of the hard pressing plate. Specifically, preprocessing methods such as image enhancement, denoising, contrast adjustment, grayscale conversion, and binarization processing can be used.

[0064] Step S300: determining a mode of a magnetic induction sensor corresponding to the hard pressing plate according to a first state of the hard pressing plate;

[0065] The mode of the magnetic induction sensor corresponds to the first state of the hard pressure plate. For example, when the first state of the hard pressure plate is the input state, the mode of the magnetic induction sensor is defined as the closed mode; when the first state of the hard pressure plate is the exit state, the mode of the magnetic induction sensor is defined as the open mode. By calibrating the threshold range of the detection data of the magnetic induction sensor in various modes in advance, fault determination can be performed based on the detection data of the magnetic induction sensor.

[0066] There is a one-to-one correspondence between the hard pressure plate and the magnetic induction sensor. The correspondence between the hard pressure plate and the magnetic induction sensor can be obtained from the hard pressure plate state collector. The correspondence records the one-to-one correspondence between the hard pressure plate identifier and the magnetic induction sensor identifier. Based on the correspondence, the magnetic induction sensor corresponding to each hard pressure plate can be determined. Then, based on the first state of the hard pressure plate, the comparison table of the hard pressure plate state and the magnetic induction sensor mode can be searched to determine the mode of each magnetic induction sensor.

[0067] Step S400: Based on the mode of the magnetic induction sensor, determine the fault of the magnetic induction sensor according to the detection data;

[0068] When determining the fault of a magnetic induction sensor, it is necessary to consider the type of magnetic induction sensor and the mode of the magnetic induction sensor. For example, the detection data of the reed sensor is a switch level. When determining whether the magnetic induction sensor is faulty, when the magnetic induction sensor is in the on mode, the detection data of the reed sensor is an off level or the detection data of the reed sensor cannot be received, then it is determined that the magnetic induction sensor is faulty.

[0069] For the Hall sensor, if the threshold range of the detection data of the magnetic induction sensor in different modes is pre-calibrated, it is possible to determine whether the detection data of the magnetic induction sensor is normal based on the threshold range, thereby determining whether the magnetic induction sensor is faulty.

[0070] However, this method is still not accurate enough to determine whether the Hall sensor is faulty, because the magnetic field and temperature of the environment in which each magnetic induction sensor in the cabinet is located are different, and the pre-calibrated threshold range cannot be applied to the magnetic induction sensor in various situations. Figure 2 As shown, the specific steps of performing fault determination on the magnetic induction sensor in this embodiment include:

[0071] Step S410: dividing all magnetic induction sensors into a number of sensor groups based on the modes of the magnetic induction sensors;

[0072] The magnetic induction sensors are grouped according to their modes, and all the magnetic induction sensors are divided into several sensor groups.

[0073] Step S420: Calculate the mean value of each sensor group according to the detection data of all magnetic induction sensors in the sensor group;

[0074] Step S430: traverse the sensor group, calculate the difference between the detection data of each magnetic induction sensor in the current sensor group and the average value of the current sensor group, and when the difference exceeds a preset threshold, determine that the magnetic induction sensor corresponding to the difference is faulty.

[0075] All magnetic induction sensors in the same cabinet are basically the same type of magnetic induction sensors installed at the same time. Under the above assumptions, after grouping the magnetic induction sensors of each mode, the average value of each sensor group can be calculated based on the detection data of all magnetic induction sensors in each sensor group, and then the detection data of each magnetic induction sensor in each sensor group is compared with the average value of the sensor group. When the difference between the two exceeds the preset threshold, the magnetic induction sensor is judged to be faulty. For example: for sensor group A, its average value is 2.5V. When the detection data of magnetic induction sensor X in sensor group A is 2.0V, the difference between the two, 0.5V, exceeds the preset threshold value 0.3V, and the magnetic induction sensor X is judged to be faulty.

[0076] In one example, consider that there are still differences between the various magnetic induction sensors in the same screen cabinet, such as: the temperature of the environment in which the magnetic induction sensor is located is different, the length of time the magnetic induction sensor is used is different, the importance of the magnetic induction sensor is different, etc. When the ambient temperature rises, the magnetic material inside the magnetic induction sensor may change its magnetic properties, resulting in a decrease in the sensitivity of the magnetic induction sensor. This may cause the magnetic induction sensor to output inaccurate signals under the same hard pressure plate state, or fail to accurately detect changes in the hard pressure plate state. Therefore, in order to more accurately determine the fault of the magnetic induction sensor, such as Figure 3 As shown, the specific steps of dividing the magnetic induction sensors into a plurality of sensor groups in the above step S410 include:

[0077] Step S411: dividing all magnetic induction sensors into several large groups based on the modes of the magnetic induction sensors;

[0078] First, similar to step S410, all magnetic induction sensors are divided into several large groups according to the modes of the magnetic induction sensors.

[0079] Step S412: Based on the environmental index and the device index of the magnetic induction sensor, collect index data of each magnetic induction sensor;

[0080] Environmental indicators include, but are not limited to, electromagnetic interference, temperature, and degree of importance. The sensitivity of the magnetic induction sensor may decrease due to factors such as component aging, magnetic field deviation, and temperature changes, resulting in inaccurate or unstable output signals. Equipment indicators include, but are not limited to, the sensitivity and stability, type, and duration of use of the magnetic induction sensor. The indicator data corresponding to the environmental indicators and the equipment indicators of the magnetic induction sensor can be obtained by querying the equipment data of the magnetic induction sensor or using the corresponding equipment to collect it. For example, the indicator data about the magnetic field in the environment, such as the strength and direction of the magnetic field, can be collected through a magnetometer; the indicator data about the temperature can be collected based on the thermometer installed in the panel cabinet.

[0081] Step S413: Calculate the Spearman rank correlation coefficient between every two magnetic induction sensors in the large group based on the index data;

[0082] Step S414: Based on the Spearman rank correlation coefficient, each large group is divided into several sensor groups.

[0083] For the index data of each magnetic induction sensor in the large group, the Spearman rank correlation coefficient between every two magnetic induction sensors in the same large group is calculated. The Spearman rank correlation coefficient can reflect the degree of nonlinear correlation between the magnetic induction sensors. According to the preset segmentation range of the Spearman rank correlation coefficient, each large group is divided into several sensor groups.

[0084] By grouping the magnetic induction sensors not only according to the modes of the magnetic induction sensors but also according to the correlation between the magnetic induction sensors, the grouping becomes more refined and accurate. Then, based on the consistency of the detection data of the magnetic induction sensors in the same group, if the detection data of one magnetic induction sensor is significantly different from the detection data of other magnetic induction sensors, the magnetic induction sensor is judged to be faulty, and the judgment result is more accurate and reliable.

[0085] In one example, after determining that the magnetic induction sensor is faulty, the abnormal mode of the magnetic induction sensor output signal, such as zero point drift, sensitivity reduction, etc., may also be analyzed to determine the fault type of the magnetic induction sensor.

[0086] Step S500: when it is determined that the magnetic induction sensor is faulty, an alarm message is generated and sent to the monitoring background;

[0087] When a magnetic induction sensor is determined to be faulty, the data related to the faulty magnetic induction sensor needs to be combined into alarm information and sent to the monitoring background, so that the monitoring background can make a more accurate judgment on the state of the hard pressure plate based on these data, to prevent misjudgment or false alarm due to simple reliance on the signal of the magnetic induction sensor and failure to judge whether the magnetic induction sensor is faulty.

[0088] In this embodiment, for a faulty magnetic induction sensor, the hard pressure plate corresponding to the magnetic induction sensor is first determined based on the corresponding relationship between the magnetic induction sensor and the hard pressure plate, and then the second state of the hard pressure plate is obtained from the hard pressure plate state collector. The first state, the second state of the hard pressure plate and the detection data of the faulty magnetic induction sensor are combined to generate an alarm message.

[0089] To sum up, the hard pressure plate monitoring method based on the magnetic induction sensor of this embodiment can not only judge the insertion and retraction status of the hard pressure plate according to the detection data of the magnetic induction sensor after the execution instruction of the operation ticket is executed, but also analyze whether the magnetic induction sensor is faulty, thereby making the status judgment result of the hard pressure plate more effective and reliable, and preventing false operation or false alarm.

[0090] Corresponding to the above-mentioned hard platen monitoring method based on magnetic induction sensor, the embodiment of the present invention also provides a hard platen monitoring system based on magnetic induction sensor, such as Figure 4 As shown, the above system includes:

[0091] The acquisition module 600 is used to collect the detection data of all magnetic induction sensors in the screen cabinet after all the operation instructions in the operation ticket are executed;

[0092] The hard pressing plate state module 610 is used to capture the device image in the screen cabinet, and obtain the first state of each hard pressing plate in the screen cabinet according to the device image, wherein the device image at least includes the images of all the hard pressing plates in the screen cabinet;

[0093] A magnetic induction sensor mode module 620, configured to determine a mode of a magnetic induction sensor corresponding to the hard pressing plate according to the first state of the hard pressing plate;

[0094] A determination module 630, configured to perform a fault determination on the magnetic induction sensor according to the detection data based on the mode of the magnetic induction sensor;

[0095] The alarm module 640 is used to generate an alarm message and send it to the monitoring background when it is determined that the magnetic induction sensor fails.

[0096] Optionally, the determination module includes a grouping unit, an average unit and a traversal unit, the grouping unit is used to divide all the magnetic induction sensors into a number of sensor groups based on the mode of the magnetic induction sensors; the average unit is used to calculate the average of each sensor group according to the detection data of all the magnetic induction sensors in the sensor group; the traversal unit is used to traverse the sensor group, calculate the difference between the detection data of each magnetic induction sensor in the current sensor group and the average of the current sensor group, and when the difference exceeds a preset threshold, determine that the magnetic induction sensor corresponding to the difference is faulty.

[0097] Based on the above embodiments, the present invention also provides a smart terminal. Figure 5 As shown, the above-mentioned intelligent terminal includes a processor, a memory and a display screen connected through a system bus. Among them, the processor of the intelligent terminal is used to provide computing and control capabilities. The memory of the intelligent terminal includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a hard pressure plate monitoring program based on a magnetic induction sensor. The internal memory provides an environment for the operation of the operating system and the hard pressure plate monitoring program based on a magnetic induction sensor in the non-volatile storage medium. When the hard pressure plate monitoring program based on a magnetic induction sensor is executed by the processor, the steps of any one of the above-mentioned hard pressure plate monitoring methods based on a magnetic induction sensor are implemented. The display screen of the intelligent terminal can be a liquid crystal display screen or an electronic ink display screen.

[0098] An embodiment of the present invention also provides a computer-readable storage medium, on which a hard pressure plate monitoring program based on a magnetic induction sensor is stored. When the hard pressure plate monitoring program based on a magnetic induction sensor is executed by a processor, the steps of any one of the hard pressure plate monitoring methods based on a magnetic induction sensor provided in an embodiment of the present invention are implemented.

[0099] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution, and the execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0100] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features therein may be replaced by equivalents. However, these modifications or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A hard plate monitoring method based on a magnetic induction sensor, characterized in that: include: When all the operation instructions in the operation ticket are executed, the detection data of all magnetic induction sensors in the screen cabinet are collected; Taking a device image in the screen cabinet, and obtaining a first state of each hard pressing plate in the screen cabinet according to the device image, wherein the device image at least includes images of all the hard pressing plates in the screen cabinet; Determining a mode of a magnetic induction sensor corresponding to the hard pressing plate according to a first state of the hard pressing plate; Based on the mode of the magnetic induction sensor, performing a fault determination on the magnetic induction sensor according to the detection data; When the magnetic induction sensor is judged to be faulty, an alarm message is generated and sent to the monitoring background; Obtaining a correspondence between the hard pressing plate and the magnetic induction sensor, determining the magnetic induction sensor corresponding to each hard pressing plate according to the correspondence, and then searching a comparison table between the hard pressing plate state and the magnetic induction sensor mode according to the first state of the hard pressing plate to determine the mode of each magnetic induction sensor; Based on a comparison table of hard pressure plate states and magnetic induction sensor modes, determining the mode of the magnetic induction sensor according to a first state of the hard pressure plate; Based on the modes of the magnetic induction sensors, all the magnetic induction sensors are divided into a number of sensor groups; Calculating the average value of each sensor group according to the detection data of all magnetic induction sensors in the sensor group; The sensor group is traversed to calculate the difference between the detection data of each magnetic induction sensor in the current sensor group and the average value of the current sensor group. When the difference exceeds a preset threshold, it is determined that the magnetic induction sensor corresponding to the difference is faulty.

2. The hard platen monitoring method based on magnetic induction sensor according to claim 1 is characterized in that: The dividing all the magnetic induction sensors into a plurality of sensor groups based on the modes of the magnetic induction sensors comprises: dividing all the magnetic induction sensors into a plurality of large groups based on the modes of the magnetic induction sensors; Based on the environmental index and the equipment index of the magnetic induction sensor, collecting the index data of each magnetic induction sensor; Based on the indicator data, calculating the Spearman rank correlation coefficient between every two magnetic induction sensors in the large group; Based on the Spearman rank correlation coefficient, each of the large groups is divided into a number of the sensor groups.

3. The hard platen monitoring method based on magnetic induction sensor according to claim 1 is characterized in that: The obtaining of the first state of each hard pressing plate in the screen cabinet according to the device image includes: performing edge detection on the device image to obtain edge information; Based on the edge information, the contour of each hard pressing plate is obtained according to a contour detection algorithm; Detect whether there is a protrusion on the side of the contour, and obtain the first state of each hard pressing plate according to the detection result.

4. The hard platen monitoring method based on magnetic induction sensor according to claim 1 is characterized in that: The generating of the alarm information includes: obtaining the second state of the hard pressing plate corresponding to the faulty magnetic induction sensor from the hard pressing plate state collector; The alarm information is generated according to the first state, the second state and detection data of the magnetic induction sensor that fails.

5. The hard plate monitoring system based on magnetic induction sensor is characterized in that: include: The acquisition module is used to collect the detection data of all magnetic induction sensors in the screen cabinet after all the operation instructions in the operation ticket are executed; A hard pressing plate state module is used to capture a device image in the screen cabinet, and obtain a first state of each hard pressing plate in the screen cabinet according to the device image, wherein the device image at least includes images of all hard pressing plates in the screen cabinet; A magnetic induction sensor mode module, used to determine a mode of a magnetic induction sensor corresponding to the hard pressing plate according to the first state of the hard pressing plate; a determination module, configured to perform a fault determination on the magnetic induction sensor according to the detection data based on the mode of the magnetic induction sensor; An alarm module is used to generate an alarm message and send it to the monitoring background when it is determined that the magnetic induction sensor fails; Obtaining a correspondence between the hard pressing plate and the magnetic induction sensor, determining the magnetic induction sensor corresponding to each hard pressing plate according to the correspondence, and then searching a comparison table between the hard pressing plate state and the magnetic induction sensor mode according to the first state of the hard pressing plate to determine the mode of each magnetic induction sensor; Based on a comparison table of hard pressure plate states and magnetic induction sensor modes, determining the mode of the magnetic induction sensor according to a first state of the hard pressure plate; Based on the modes of the magnetic induction sensors, all the magnetic induction sensors are divided into a number of sensor groups; Calculating the average value of each sensor group according to the detection data of all magnetic induction sensors in the sensor group; The sensor group is traversed to calculate the difference between the detection data of each magnetic induction sensor in the current sensor group and the average value of the current sensor group. When the difference exceeds a preset threshold, it is determined that the magnetic induction sensor corresponding to the difference is faulty.

6. Intelligent terminal, characterized in that: The intelligent terminal includes a memory, a processor, and a hard pressure plate monitoring program based on a magnetic induction sensor stored in the memory and executable on the processor. When the hard pressure plate monitoring program based on a magnetic induction sensor is executed by the processor, the steps of the hard pressure plate monitoring method based on a magnetic induction sensor as described in any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a hard pressure plate monitoring program based on a magnetic induction sensor. When the hard pressure plate monitoring program based on a magnetic induction sensor is executed by a processor, the steps of the hard pressure plate monitoring method based on a magnetic induction sensor as described in any one of claims 1-4 are implemented.

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