TW202016516A - Method of temperature anomaly detection and thermal imaging surveillance system - Google Patents

Abstract

A thermal imaging surveillance system comprises: a thermal imaging device, which performs thermal detection and generates thermal data; and a surveillance server, which compares the thermal data of different time and calculates a temperature rising rate. The surveillance server issues a warning when the temperature rising rate is larger than a preset value. The thermal imaging surveillance system of the present invention is suitable for monitoring multiple targets of various working temperature and capable of issuing the warning when any target is prone to malfunction because of anomalous temperature rising rate so that the maintenance staff can handle the situation in time.

Description

Abnormal temperature detection method and thermal image monitoring system

The invention relates to a temperature monitoring device, in particular to a temperature abnormality detection method and a thermal image monitoring system.

As technology advances, the components of the device become more complex. Components will gradually wear out and deteriorate under long-term use, and then malfunction or damage, and whether the temperature of the component rises abnormally is an important indicator commonly used to determine whether the component needs maintenance. For these devices, Time Based Maintenance (TBM) is a common maintenance strategy. Maintenance personnel generally use handheld infrared thermal imagers to regularly check the devices. However, this maintenance strategy often over-repairs and maintains the equipment, resulting in a lot of waste of manpower and material resources. In addition, the equipment may fail before the maintenance time.

In view of this, the maintenance strategy based on condition-based maintenance (CBM) came into being. This maintenance strategy is to perform maintenance only when indicators indicate that the equipment is about to fail, so as to avoid the aforementioned problems of regular maintenance. It is known that the monitoring of equipment temperature is based on the determination of a fixed threshold temperature as an alarm. However, because each element in the device often has a different operating temperature range without a common fixed threshold temperature, each element needs to be provided with a corresponding temperature sensor. Such a large number of temperature sensors will cause excessive installation costs and difficulties in maintaining the temperature sensors themselves.

Therefore, the object of the present invention is to provide a temperature abnormality detection method and a thermal image monitoring system capable of monitoring multiple monitoring targets of different working temperatures.

The technical method adopted by the present invention to solve the problems of the conventional technology is to provide a temperature abnormality detection method, which includes the following steps: (a) a thermal image sensor having a plurality of sensing units to perform a Thermal sensing generates a thermal image data, and the thermal image sensor transmits the thermal image data to a monitoring server in real time, and the monitoring server stores the thermal image data at different times; (b) the monitoring The server compares the stored thermal image data with time to compare the thermal image data at different times and calculate a temperature rise rate; and (c) when the temperature rise rate is greater than a preset value, the monitoring The server issued an alarm.

In an embodiment of the present invention, a temperature abnormality detection method is provided. After step (b), the monitoring server visualizes the temperature rise rate and displays the imaged temperature rise rate on a display device .

In an embodiment of the present invention, a temperature abnormality detection method is provided. In step (c), when the alarm is issued for a specified number of consecutive times, the monitoring server issues a temperature rise trend alarm.

In an embodiment of the present invention, a temperature abnormality detection method is provided, and the preset value is a specified percentage.

In an embodiment of the present invention, a temperature abnormality detection method is provided, and the preset value is a specified temperature difference.

In one embodiment of the present invention, a method for detecting temperature anomalies is provided. In step (a), the thermal image sensor periodically performs thermal detection in a sensing period to generate the thermal image data.

In an embodiment of the present invention, a temperature abnormality detection method is provided. In step (c), the time interval between the compared thermal image data is an integer multiple of greater than 1 of the sensing period.

In an embodiment of the present invention, a temperature abnormality detection method is provided. In step (a), the thermal image sensor transmits the thermal image data to the monitoring server through a network.

The technical method adopted by the present invention to solve the problems of the conventional technology is to provide a thermal image monitoring system, including: a thermal image sensor with a plurality of sensing units, the plurality of sensing units is configured to monitor one The area performs a thermal sensing to generate a thermal image data and transmits the thermal image data in real time; and a monitoring server connected to the thermal image sensor to receive the thermal image data, the monitoring server will The thermal image data is stored, and the stored thermal image data is compared with time to compare the thermal image data at different times and calculate a temperature rise rate, the monitoring server at the temperature rise rate is greater than one An alarm is issued at the preset value.

In one embodiment of the present invention, a thermal image monitoring system is provided. The thermal image sensor is a plurality, and the monitoring server is connected to the plurality of thermal image sensors through a network.

Through the temperature abnormality detection method and the technical means adopted by the thermal image monitoring system of the present invention, the abnormality detection uses the temperature rise rate as the alarm to discriminate. Compared with the conventional method of using a fixed threshold temperature as an alarm, the anomaly detection range of the present invention can cover multiple monitoring targets at different operating temperatures, and an alarm is issued when any monitoring target has a tendency to malfunction and the temperature rise rate is abnormal. , Easy for maintenance personnel to deal with immediately. Because the present invention does not need to set a corresponding temperature sensor for each monitoring target, it has lower installation cost and is easier to maintain.

100‧‧‧ thermal image monitoring system

1‧‧‧ Thermal image sensor

11‧‧‧sensing unit

2‧‧‧Monitoring server

21‧‧‧Display device

D‧‧‧ Thermal image data

R‧‧‧Monitoring area

[Figure 1] is a schematic diagram showing the architecture of a thermal image monitoring system according to an embodiment of the present invention; [Figure 2] is a perspective schematic diagram showing a thermal image sensor of a thermal image monitoring system according to an embodiment of the present invention [Figure 3] is a block diagram showing a method for detecting temperature abnormality according to an embodiment of the present invention; [Figure 4a] is a schematic diagram showing the thermal image of the monitoring area at a specific time; [Figure 4b] is a schematic diagram showing the thermal image of the monitoring area at another time; [Figure 4c] is a display monitoring area according to the present invention The schematic diagram of the temperature rise rate generated by the temperature anomaly detection method of the first embodiment; [FIG. 4d] is a schematic diagram showing the alarm area generated by the temperature anomaly detection method according to the embodiment of the present invention.

The embodiments of the present invention will be described below based on FIGS. 1 to 4d. This description is not intended to limit the embodiments of the present invention, but is one of the examples of the present invention.

As shown in FIGS. 1 and 2, a thermal image monitoring system 100 according to an embodiment of the present invention includes: a thermal image sensor 1 having a plurality of sensing units 11 and a plurality of sensing units 11 It is configured to perform a thermal detection on a monitoring area R to generate a thermal image data D and transmit the thermal image data D in real time; and a monitoring server 2 is connected to the thermal image sensor 1 to receive the thermal image data D, the monitoring server 2 stores the thermal image data D at different times, and compares the stored thermal image data D according to the time change, and compares the thermal image data D at different times and calculates a temperature rise rate, monitors the servo The device 2 issues an alarm when the temperature rise rate is greater than a preset value.

Among them, the thermal image monitoring system 100 of the present invention performs full-time online monitoring of the monitoring target, and belongs to state-based maintenance. Compared with regular maintenance, it can prevent the occurrence of accidents, avoid excessive repair and maintenance times and costs, and also prevent equipment failures before the maintenance time.

In this embodiment, there are a plurality of thermal image sensors 1 that respectively perform thermal detection on the monitoring areas R in different places, and an alarm is issued when the temperature rise rate of any thermal image sensor 1 is greater than a preset value. Therefore, the thermal image monitoring system 100 of the present invention can simultaneously monitor multiple units in different locations The status of the device. In addition, the thermal image sensor 1 is connected to the monitoring server 2 via a network. Thereby, the distance between the monitoring server 2 and the connected thermal image sensor 1 is not limited, and remote thermal detection can be performed on the monitoring areas R everywhere. As shown in FIG. 2, the thermal image sensor 1 has a network hole for network cable connection to transmit the thermal image data D to the monitoring server 2. In other embodiments, the thermal image sensor 1 can also transmit the thermal image data D to the monitoring server 2 through a wireless network. In addition, for important monitoring targets, a single monitoring server 2 can also be used for a dedicated thermal image sensor 1.

The sensing unit 11 of the thermal image sensor 1 is an infrared sensor, which is arranged in an array and performs thermal sensing on different positions in the monitoring area R, respectively. The thermal image data D includes at least the temperature sensed by each sensing unit 11 and the time when the thermal sense is detected.

As shown in FIG. 3, the thermal image monitoring system 100 according to the present invention performs abnormality detection using the temperature abnormality detection method of the present invention. The temperature anomaly detection method includes the following steps: a thermal image sensor D is performed on a monitoring area R through a thermal image sensor 1 having a plurality of sensing units 11 to generate a thermal image data D, and the thermal image sensor 1 The thermal image data D is sent to a monitoring server 2 in real time (step S10), the monitoring server 2 stores the thermal image data D at different times; the monitoring server 2 stores the stored thermal image data D according to time changes The thermal image data D at time are compared and a temperature rise rate is calculated (step S20); and when the temperature rise rate is greater than a preset value, the monitoring server 2 issues an alarm (step S30).

In detail, in this embodiment, the thermal image sensor 1 periodically performs thermal detection on the monitoring area R in a sensing period, and generates multiple thermal image data D with time. The thermal image sensor 1 transmits the thermal image data D to the monitoring server 2 in real time through the network, and the monitoring server 2 stores the thermal image data D for the user to view the history of the thermal image data D.

As shown in FIG. 4a and FIG. 4b, it is to display the thermal image data D of the same monitoring area R imaged at different times, that is, the thermal image of the monitoring area R. Each sensing unit 11 Each corresponds to a pixel in the thermal image of the monitoring area R. The monitoring area R covers three electronic components and cables connected to the upper and lower ends of the electronic components. Among them, the deeper area indicates a higher temperature. Comparing Fig. 4b with Fig. 4a, it can be seen that the temperature of the electronic component on the right increases, and the temperature of the electronic components on the left and the middle does not change.

In step S20, the monitoring server 2 compares the temperature sensed by each sensing unit 11 among the two sets of thermal image data D, calculates the temperature rise rate, and performs image processing on the temperature rise rate Instead, the image as shown in Figure 4c is formed. Among them, the deeper area indicates that the temperature rise rate is higher. Figure 4c shows that the temperature rise rate of the electronic component on the right is the highest, the temperature rise rate of the connected cable decreases with distance, and the temperature rise rate of other areas is zero.

The dark color range in FIG. 4d is a range showing that the temperature rise rate is greater than a predetermined value, and the monitoring server 2 generates an alarm when the dark color range is generated through calculation. The predetermined value may be a specified percentage or a specified temperature difference. It can be seen from FIG. 4d that even if the temperature of the electronic component on the left side is high under normal conditions, it will not affect the judgment of the abnormality of the electronic component on the right side.

The monitoring server 2 includes a display device 21, and the user can select at least the images of FIGS. 4c to 4d to display on the display device 21, and the user can learn from FIG. 4c or 4d that there is an abnormal component position.

Of course, the temperature abnormality detection method and the thermal image monitoring system 100 of the present invention are not limited to monitoring static equipment. In other embodiments, they can also be used to monitor moving hot objects, such as whether someone or a car enters the monitored home range.

In this embodiment, the sensing period of the thermal image sensor 1 is set to 3 seconds, and the time interval between the two sets of the thermal image data D being compared is an integer multiple (1 minute) greater than 1 of the sensing period. By comparing the two sets of thermal image data D with longer time intervals, it is possible to avoid false alarms caused by temporary noise and ensure that the temperature of the monitoring target is rising. In other embodiments, the time interval between the two sets of thermal image data D can also be equal to the sensing period of the thermal image sensor 1, and when the alarm is sent for a specified number of consecutive times, The monitoring server 2 issues a temperature rising trend alarm, which can also avoid false alarms caused by temporary noise and can ensure that the temperature of the monitoring target is rising. For example, when the alarm is issued for three consecutive times, that is, three thermal image data D of n seconds and n+3 seconds, n+3 seconds and n+6 seconds, n+6 seconds and n+9 seconds When there are abnormalities in the comparison, or if there are abnormalities in the three thermal image data comparisons of n seconds and n+60 seconds, n+3 seconds and n+63 seconds, n+6 seconds and n+66 seconds, monitor the servo The device 2 issues a temperature rise trend alarm.

In this embodiment, the user can access all the thermal image data D, the imaged thermal image data D and/or the alarm in the monitoring server 2 through the network, so that the user can monitor the monitoring target.

With the above structure and method, the anomaly detection range of the present invention can cover multiple monitoring targets at different operating temperatures, and an alarm is issued when any monitoring target has a tendency to malfunction and the temperature rise rate is abnormal, which is convenient for maintenance personnel to deal with immediately.

The above description and description are only for the description of the preferred embodiments of the present invention. Those with ordinary knowledge of this technology can make other modifications based on the scope of the patent application defined below and the above description, but these modifications should still be It is within the scope of the rights of the invention for the spirit of the invention.

100‧‧‧ thermal image monitoring system

1‧‧‧ Thermal image sensor

2‧‧‧Monitoring server

21‧‧‧Display device

D‧‧‧ Thermal image data

Claims (10)

A temperature abnormality detection method includes the following steps: (a) performing thermal detection on a monitoring area through a thermal image sensor having a plurality of sensing units to generate a thermal image data, and the thermal image sensing The server sends the thermal image data to a monitoring server in real time, and the monitoring server stores the thermal image data at different times; (b) The monitoring server stores the thermal image data at different times according to time changes The thermal image data is compared and a temperature rise rate is calculated; and (c) when the temperature rise rate is greater than a preset value, the monitoring server issues an alarm. The temperature abnormality detection method of claim 1, wherein after step (b), the monitoring server visualizes the temperature rise rate and displays the imaged temperature rise rate on a display device. As in the temperature abnormality detection method of claim 1, wherein in step (c), when the alarm is issued for a specified number of consecutive times, the monitoring server issues a temperature rise trend alarm. For example, the method for detecting temperature anomalies in claim 1, wherein the preset value is a specified percentage. For example, the method for detecting temperature anomalies in claim 1, wherein the preset value is a specified temperature difference. As in the temperature abnormality detection method of claim 1, in step (a), the thermal image sensor periodically performs thermal detection in a sensing period to generate the thermal image data. The method for detecting temperature anomalies of claim 6, wherein in step (c), the time interval between the compared thermal image data is an integer multiple of greater than 1 of the sensing period. The method for detecting temperature abnormality of claim 1, wherein in step (a), the thermal image sensor transmits the thermal image data to the monitoring server through a network. A thermal image monitoring system, including: A thermal image sensor having a plurality of sensing units, the plurality of sensing units being set to perform a thermal detection on a monitoring area to generate a thermal image data, and transmit the thermal image data in real time; and a A monitoring server connected to the thermal image sensor to receive the thermal image data, the monitoring server stores the thermal image data at different times, and stores the thermal image data at different times according to time changes The thermal image data is compared and a temperature rise rate is calculated, and the monitoring server issues an alarm when the temperature rise rate is greater than a preset value. The thermal image monitoring system according to claim 9, wherein there are a plurality of thermal image sensors, and the monitoring server is connected to the plurality of thermal image sensors through a network.

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