Control method of intelligent fire extinguishing system of power distribution cabinet and power distribution cabinet

Abstract

The invention relates to a control method for an intelligent fire extinguishing system of a power distribution cabinet and the power distribution cabinet, and the method comprises the steps: carrying out the three-dimensional modeling of the real-time monitoring data of a plurality of thermal imagers, so as to enable the real-time monitoring data of each thermal imager to be represented in a three-dimensional coordinate system in a line curve hinting mode; three-dimensional data obtained after real-time monitoring data three-dimensional modeling of the multiple thermal imagers are fused into a public world three-dimensional coordinate system to obtain thermal imaging three-dimensional data in the power distribution cabinet during operation, heat source analysis is further carried out on the obtained thermal imaging three-dimensional data, the state of a heat source is obtained, and the state of the heat source is obtained. And the analysis standards based on different heat sources are distinguished based on the characteristics of the heat sources, so that the accuracy of heat source state analysis is improved, and the accuracy of a fire-fighting strategy formulated for the heat sources is further improved.

Description

Technical Field

[0001] This application relates to the field of power distribution cabinet technology, and in particular to a control method and power distribution cabinet for an intelligent fire protection system. Background Technology

[0002] Distribution cabinets (boxes) are divided into power distribution cabinets (boxes), lighting distribution cabinets (boxes), and metering cabinets (boxes), and are the final-level equipment in a power distribution system. Distribution cabinets are a general term for motor control centers. Distribution cabinets are suitable for situations where the load is relatively dispersed and there are few circuits; motor control centers are used for situations where the load is concentrated and there are many circuits. They distribute the electrical energy of a circuit from the previous-level power distribution equipment to the nearest load. This level of equipment should provide protection, monitoring, and control for the load.

[0003] Most existing power distribution cabinets are equipped with fire suppression modules for fire suppression operations inside the cabinet. However, the accuracy of these modules in determining the need for fire suppression operations is low, often resulting in fire suppression only after a fire has occurred, further reducing the success rate of fire suppression. Summary of the Invention

[0004] Therefore, it is necessary to provide a control method for an intelligent fire protection system for distribution cabinets, which addresses the problem that the fire protection modules inside traditional distribution cabinets have low accuracy in judging the accuracy of fire protection operations, leading to fire suppression only after a fire has occurred and thus a low success rate in fire suppression.

[0005] This application provides a control method for an intelligent fire protection system for a power distribution cabinet, including: The monitoring data of multiple thermal imagers are acquired. Each thermal imager is installed in a different position in the power distribution cabinet, and each thermal imager has a different detection angle in the power distribution cabinet. Three-dimensional data of each thermal imager is constructed based on the monitoring data of each thermal imager; Create a world three-dimensional coordinate system; The 3D data from each thermal imager are fused using the world 3D coordinate system to obtain the fused world 3D coordinate system. By analyzing and fusing the world three-dimensional coordinate system, heat source data of at least one heat source is obtained; Based on the heat source data of each heat source, determine the status of each heat source; Develop a fire-fighting strategy for each heat source based on its status.

[0006] Furthermore, the construction of three-dimensional data for each thermal imager based on the monitoring data of each thermal imager includes: Select monitoring data from a thermal imager; The monitoring data of the thermal imager is analyzed to obtain the optical image data and thermal image data from the monitoring data of the thermal imager; The three-dimensional coordinate system of the thermal imager is constructed based on the optical image data in the monitoring data of the thermal imager; Based on the spatial correspondence between optical image data and thermal image data in the monitoring data of the thermal imager, the thermal image data in the monitoring data of the thermal imager is incorporated into the three-dimensional coordinate system of the thermal imager to obtain the three-dimensional data of the thermal imager. Return to the monitoring data of the selected thermal imager, until the monitoring data of each thermal imager has been selected once.

[0007] Furthermore, regarding the spatial correspondence between the optical image data and the thermal image data in the monitoring data based on the thermal imager, the thermal image data in the monitoring data of the thermal imager is incorporated into the three-dimensional coordinate system of the thermal imager to obtain the three-dimensional data of the thermal imager. This process also includes: Feature extraction is performed on the optical image data in the monitoring data of the thermal imager to obtain at least one feature; Select a feature; Analyze the feature to obtain its size parameters; The size parameters of this feature are incorporated into the three-dimensional coordinate system of the thermal imager to obtain the preliminary three-dimensional data of the thermal imager; Return to the previous selection and continue until every feature has been selected once.

[0008] Furthermore, the process of fusing the 3D data from each thermal imager into a world 3D coordinate system to obtain a fused world 3D coordinate system includes: Select three-dimensional data from a thermal imager; The three-dimensional data of the thermal imager is analyzed to obtain the origin of the three-dimensional coordinate system in the three-dimensional data of the thermal imager; Determine the coordinates of the origin of this three-dimensional coordinate system in the world three-dimensional coordinate system; Based on the coordinates of the origin of the three-dimensional coordinate system in the world three-dimensional coordinate system, the three-dimensional data of the thermal imager is transformed to obtain the world three-dimensional coordinate system after fusing the three-dimensional data of the thermal imager. Return to the selected 3D data of a thermal imager, until the 3D data of each thermal imager has been selected once.

[0009] Furthermore, the analyzed and fused world three-dimensional coordinate system yields heat source data for at least one heat source, and then includes: Select heat source data from a heat source; The heat source data of the heat source is analyzed to obtain the three-dimensional data of the thermal imager from different perspectives. Three-dimensional filling is performed on the three-dimensional data of thermal imagers from different perspectives to obtain the three-dimensional thermal imaging data after the heat source is filled. Return to the previous step of selecting a heat source, until each heat source has been selected once.

[0010] Furthermore, determining the state of each heat source based on its heat source data includes: Select heat source data from a heat source; Analyze the heat source data of the heat source to obtain the filled three-dimensional thermal imaging data of the heat source data. Three-dimensional localization is performed based on the filled thermal imaging three-dimensional data to obtain the source point location information of the heat source; Return to the heat source data of the selected heat source, until the heat source data of each heat source has been selected once.

[0011] Furthermore, determining the state of each heat source based on its heat source data also includes: Select a source point location; The source location information is analyzed to obtain the temperature data and feature data from the source location information; Determine whether the obtained temperature data matches the feature data; If the obtained temperature data matches the feature data, then the source point is normal; If the obtained temperature data does not match the feature data, the source point is considered abnormal, and an alarm message is sent. Return to the selected source point location information, until each source point location information has been selected once.

[0012] Furthermore, the determination of whether the obtained temperature data matches the feature data includes: Analyze the temperature data to obtain the temperature value and the rate of temperature change. Analyze the feature data to obtain the calibration temperature parameters of the features during operation; Determine whether the temperature value and temperature change rate are included in the calibration temperature parameters during characteristic operation.

[0013] Furthermore, the formulation of a fire-fighting strategy for each heat source based on its status includes: Select the state of a heat source; A first temperature threshold and a first temperature growth rate are created based on the feature data in the source location information of the heat source; Create a source point anomaly level table for this heat source; The heat source is defined as having a source point temperature that is less than a first temperature threshold and a source point temperature growth rate that is less than the first temperature growth rate per unit time. The condition where the source point temperature of the heat source is greater than the first temperature threshold and the rate of increase of the source point temperature of the heat source per unit time is less than the rate of increase of the first temperature threshold is defined as Level II. The heat source with a source point temperature greater than a first temperature threshold and a source point temperature growth rate greater than the first temperature growth rate per unit time is defined as Level 3. The anomaly level of the heat source is obtained based on the temperature data in the source location information of the heat source. If the anomaly level of the heat source is level one or level two, a warning message will be sent. If the anomaly level of the heat source is level one or level two, an alarm message will be sent. Return to the state of the selected heat source, until every state of every heat source has been selected once.

[0014] This application also provides a power distribution cabinet, including: Distribution cabinet enclosure; Multiple thermal imagers are configured, and all of them are installed inside the power distribution cabinet. The thermal imagers are used to detect the internal temperature data of the power distribution cabinet. A fire suppression module is installed on the power distribution cabinet. The fire suppression module is used to extinguish fires inside the power distribution cabinet. A processing device is installed on the power distribution cabinet. Each thermal imager is communicatively connected to the processing device. The fire protection module is also communicatively connected to the processing device. The processing device is used to execute the control method of the intelligent fire protection system for the power distribution cabinet as described above.

[0015] This application relates to a control method and a distribution cabinet for an intelligent fire protection system. The method involves separately creating three-dimensional models from the real-time monitoring data of multiple thermal imagers, so that the real-time monitoring data of each thermal imager can be represented in a three-dimensional coordinate system using lines and curves. Then, the three-dimensional data from the three-dimensional models of the real-time monitoring data of multiple thermal imagers are merged into a common world three-dimensional coordinate system to obtain the internal thermal imaging three-dimensional data of the distribution cabinet during operation. Furthermore, heat source analysis is performed on the obtained thermal imaging three-dimensional data to obtain the state of the heat sources. Different analysis standards are used to distinguish different heat sources based on their own characteristics to improve the accuracy of heat source state analysis, thereby improving the accuracy of the fire protection strategy formulated for the heat sources. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the control method of an intelligent fire protection system for a power distribution cabinet, as provided in an embodiment of this application.

[0017] Figure 2 This is a schematic diagram of the structure of a power distribution cabinet provided in one embodiment of this application.

[0018] Figure label: 11. Distribution cabinet; 12. Thermal imager; 13. Fire protection module; 14. Processing device. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0020] like Figure 1 As shown, in one embodiment of this application, the control method of the intelligent fire protection system for the power distribution cabinet includes the following steps S100 to S700: S100 acquires monitoring data from multiple thermal imagers. Each thermal imager is installed in a different position in the power distribution cabinet, and each thermal imager has a different detection angle in the power distribution cabinet.

[0021] Specifically, multiple thermal imagers are installed in different locations within the power distribution cabinet. Preferably, the thermal imagers are installed in the corners of the power distribution cabinet near the cabinet door, so that the thermal imagers can cover most of the area within the power distribution cabinet as much as possible without being interfered with by the electronic components in the cabinet.

[0022] S200 constructs three-dimensional data for each thermal imager based on the monitoring data of each thermal imager.

[0023] S300 creates a world three-dimensional coordinate system.

[0024] Specifically, the origin of the world three-dimensional coordinate system can be any point, but preferably it is a turning point of the power distribution cabinet or a point that is easy to calculate the position of each thermal imager.

[0025] S400 fuses the 3D data from each thermal imager into a world 3D coordinate system to obtain a fused world 3D coordinate system.

[0026] S500 analyzes and merges the world three-dimensional coordinate system to obtain heat source data for at least one heat source.

[0027] The S600 determines the status of each heat source based on its heat source data.

[0028] S700 develops fire suppression strategies for each heat source based on its status.

[0029] In this embodiment, the real-time monitoring data from multiple thermal imagers are modeled in three dimensions separately, so that the real-time monitoring data of each thermal imager can be represented in a three-dimensional coordinate system using lines and curves. Then, the three-dimensional data after the real-time monitoring data of multiple thermal imagers are modeled in three dimensions are merged into a common world three-dimensional coordinate system to obtain the three-dimensional thermal imaging data of the power distribution cabinet during operation. Furthermore, heat source analysis is performed on the obtained three-dimensional thermal imaging data to obtain the state of the heat source. Based on the analysis standards of different heat sources, they are distinguished according to their own characteristics to improve the accuracy of heat source state analysis, thereby improving the accuracy of fire protection strategies formulated for heat sources.

[0030] In one embodiment of this application, the construction of three-dimensional data for each thermal imager based on the monitoring data of each thermal imager includes the following steps S201 to S205: S201, Select monitoring data from a thermal imager.

[0031] S202, Analyze the monitoring data of the thermal imager to obtain the optical image data and thermal imaging image data in the monitoring data of the thermal imager.

[0032] S203, Construct the three-dimensional coordinate system of the thermal imager based on the optical image data in the monitoring data of the thermal imager.

[0033] S204. Based on the spatial correspondence between the optical image data and the thermal image data in the monitoring data of the thermal imager, the thermal image data in the monitoring data of the thermal imager is incorporated into the three-dimensional coordinate system of the thermal imager to obtain the three-dimensional data of the thermal imager.

[0034] S205, return the monitoring data of the selected thermal imager, until the monitoring data of each thermal imager has been selected once.

[0035] Specifically, the optical camera in each thermal imager is calibrated based on Zhang Zhengyou's checkerboard calibration method, so that the optical image data acquired by each thermal imager can establish a three-dimensional spatial coordinate system.

[0036] In this embodiment, for a thermal imager, the monitoring data of the thermal imager is first analyzed to obtain the optical image data and thermal image data in the monitoring data. The optical image data is used to establish a three-dimensional coordinate system, while the thermal image data corresponding to the optical image data in space is used to establish corresponding data in the three-dimensional coordinate system, thereby obtaining the three-dimensional data of the thermal imager.

[0037] In one embodiment of this application, the spatial correspondence between the optical image data and the thermal image data in the monitoring data based on the thermal imager is used to incorporate the thermal image data in the monitoring data of the thermal imager into the three-dimensional coordinate system of the thermal imager to obtain the three-dimensional data of the thermal imager. Prior to this, the following steps S213 to S253 are also included: S213, extract features from the optical image data in the monitoring data of the thermal imager to obtain at least one feature.

[0038] S223, Select a feature.

[0039] S233, analyze the feature to obtain its size parameters.

[0040] S243, incorporate the size parameters of the feature into the three-dimensional coordinate system of the thermal imager to obtain the preliminary three-dimensional data of the thermal imager.

[0041] S253, return to selecting a feature, until each feature has been selected once.

[0042] Specifically, the features refer to the electronic components in the distribution cabinet, including wiring, switches, etc.

[0043] In this embodiment, due to the installation of a large number of brackets and switches in the power distribution cabinet, it is impossible to fully model the features during the establishment of the three-dimensional coordinate system of the thermal imager. Therefore, based on the obtained size parameters of the features, it is convenient to model the features in the three-dimensional coordinate system of the thermal imager. At the same time, the size parameters of the features include not only the size parameters of the feature's appearance, but also the internal structure of the feature and the position and size parameters of the internal components of the feature.

[0044] In one embodiment of this application, the step of fusing the three-dimensional data of each thermal imager into a world three-dimensional coordinate system to obtain a fused world three-dimensional coordinate system includes the following steps S401 to S405: S401, Select three-dimensional data from a thermal imager.

[0045] S402, parse the three-dimensional data of the thermal imager to obtain the origin of the three-dimensional coordinate system in the three-dimensional data of the thermal imager.

[0046] S403, determine the coordinates of the origin of this three-dimensional coordinate system in the world three-dimensional coordinate system.

[0047] S404, based on the coordinates of the origin of the three-dimensional coordinate system in the world three-dimensional coordinate system, the three-dimensional data of the thermal imager is transformed to obtain the world three-dimensional coordinate system after fusing the three-dimensional data of the thermal imager.

[0048] S405, return to the selected three-dimensional data of a thermal imager, until the three-dimensional data of each thermal imager has been selected once.

[0049] Specifically, based on the fused world 3D coordinate system, the real-time monitoring data changes of each thermal imager are used to update the fused world 3D coordinate system to obtain a real-time updated fused world 3D coordinate system.

[0050] In this embodiment, the coordinates of the origin of the three-dimensional coordinate system in the three-dimensional data of each thermal imager in the world three-dimensional coordinate system are first defined. Then, the transformation relationship between the three-dimensional coordinate system in the three-dimensional data of the thermal imager and the world three-dimensional coordinate system is established. Based on the transformation relationship, the three-dimensional data of the thermal imager can be transformed to obtain the world three-dimensional coordinate system after fusing the three-dimensional data of the thermal imager. When the three-dimensional data of each thermal imager are fused into the world three-dimensional coordinate system, the fused world three-dimensional coordinate system can be obtained.

[0051] In one embodiment of this application, the analyzed and fused world three-dimensional coordinate system yields heat source data for at least one heat source, and then the process further includes the following steps S510 to S700: S510, select heat source data of a heat source.

[0052] S520, analyze the heat source data of the heat source to obtain the three-dimensional data of the thermal imager from different perspectives in the heat source data of the heat source.

[0053] S530 performs 3D filling on the 3D data of thermal imagers from different perspectives to obtain 3D thermal imaging data after the heat source is filled.

[0054] S540, return to the step of selecting a heat source, until each heat source has been selected once.

[0055] In this embodiment, by acquiring the three-dimensional data of the same heat source from different perspectives using a thermal imager, the thermal imaging data of the heat source in the world three-dimensional coordinate system is then three-dimensionally filled. The filling principle is based on the principle of thermal radiation.

[0056] In one embodiment of this application, determining the state of each heat source based on its heat source data includes the following steps S601 to S604: S601, Select heat source data for a heat source.

[0057] S602, parse the heat source data of the heat source to obtain the filled thermal imaging three-dimensional data of the heat source data.

[0058] S603, based on the filled thermal imaging 3D data, performs 3D localization to obtain the source point location information of the heat source.

[0059] S604, return the heat source data of the selected heat source until the heat source data of each heat source has been selected once.

[0060] In this embodiment, the heat source that generates heat cannot be accurately detected during actual thermal imaging measurement. Generally, thermal imaging detects the surface of an object or a certain depth inside the object. Therefore, by filling the three-dimensional data of the thermal imager, the location information of the heat source can be accurately deduced.

[0061] In one embodiment of this application, determining the state of each heat source based on its heat source data further includes the following steps S605 to S610: S605, Select a source point location information.

[0062] S606, parse the source location information to obtain the temperature data and feature data in the source location information.

[0063] S607 determines whether the obtained temperature data matches the feature data.

[0064] S608, if the obtained temperature data matches the characteristic data, then the source point is normal.

[0065] S609: If the obtained temperature data does not match the characteristic data, the source point is abnormal and an alarm message is sent.

[0066] S610, return to the selected source point location information, until each source point location information has been selected once.

[0067] Specifically, temperature data refers to the real-time temperature of the heat source point and the temperature change per unit time; feature data refers to the characteristics of the information at the location of the heat source point, such as a fuse, copper wire, etc. These features have their calibrated parameters. For example, a fuse has a short-circuiting temperature, and a copper wire has a normal operating stability range.

[0068] In this embodiment, the state of the heat source is defined by matching the acquired real-time temperature data with the feature data and then using the matching result.

[0069] In one embodiment of this application, the determination of whether the obtained temperature data matches the feature data includes the following steps S607a to S607c: S607a, analyzes temperature data to obtain temperature values ​​and the rate of temperature change.

[0070] S607b, analyze the feature data to obtain the calibration temperature parameters of the feature during operation.

[0071] S607c determines whether the temperature value and temperature change rate are included in the calibration temperature parameters during characteristic operation.

[0072] In this embodiment, the temperature data and the feature data are matched by judging whether the temperature value of the feature data is within the calibrated temperature range and whether the temperature change rate is within the calibrated change rate range. When both the temperature value and the temperature change rate are within the calibrated change rate range, the temperature data and the feature data are matched.

[0073] In one embodiment of this application, the step of formulating a fire-fighting strategy for each heat source based on the state of each heat source includes the following steps S701 to S710: S701, select the state of a heat source.

[0074] S702, based on the feature data in the source location information of the heat source, a first temperature threshold and a first temperature growth rate are created.

[0075] S703, Create a source point anomaly level table for this heat source.

[0076] S704, a heat source whose source point temperature is less than a first temperature threshold and whose source point temperature growth rate per unit time is less than the first temperature growth rate is defined as Level 1.

[0077] S705, a heat source whose source point temperature is greater than a first temperature threshold and whose source point temperature growth rate per unit time is less than the first temperature growth rate is defined as Level II.

[0078] S706, a heat source whose source point temperature is greater than a first temperature threshold and whose source point temperature growth rate per unit time is greater than the first temperature growth rate is defined as Level 3.

[0079] S707, based on the temperature data in the source location information of the heat source, the anomaly level of the heat source is obtained.

[0080] S708 If the anomaly level of the heat source is level one or level two, a warning message is sent.

[0081] S709 If the abnormality level of the heat source is level one or level two, an alarm message is sent.

[0082] S710 returns to the state of selecting a heat source, until every state of every heat source has been selected once.

[0083] Specifically, sending a warning message is to remind staff to focus on investigating or repairing the heat source; sending an alarm message is to remind staff to activate fire-fighting equipment to carry out fire-fighting operations at the heat source, such as extinguishing a fire.

[0084] In this embodiment, by establishing different first temperature thresholds and first temperature growth rates for each heat source based on its corresponding characteristics, the identification of the source point anomaly level of heat sources with different characteristics when they are the source points of heat sources will be more accurate.

[0085] like Figure 2 As shown, in one embodiment of this application, the control method of the intelligent fire protection system of the power distribution cabinet includes a power distribution cabinet 11, multiple thermal imagers 12, a fire protection module 13, and a processing device 14.

[0086] Multiple thermal imagers 12 are configured, and all multiple thermal imagers 12 are installed inside the power distribution cabinet 11. The thermal imagers 12 are used to detect the internal temperature data of the power distribution cabinet 11.

[0087] The fire protection module 13 is installed on the power distribution cabinet 11, and the fire protection module 13 is used to extinguish fire inside the power distribution cabinet 11.

[0088] The processing device 14 is installed on the power distribution cabinet 11. Each of the thermal imagers 12 is communicatively connected to the processing device 14. The fire protection module 13 is communicatively connected to the processing device 14. The processing device 14 is used to execute the control method of the intelligent fire protection system of the power distribution cabinet described above.

[0089] Specifically, the fire protection module 13 can be installed inside the power distribution cabinet 11, and the angle or position of the fire protection module 13 can be adjusted to increase the fire protection coverage space inside the power distribution cabinet 11.

[0090] In this embodiment, multiple thermal imagers 12 monitor and acquire data from multiple angles inside the power distribution cabinet 11. Each thermal imager 12 transmits the acquired data to the processing device 14. The processing device 14 cleans and processes the data from the multiple thermal imagers to establish a three-dimensional model. The three-dimensional model corresponding to each thermal imager 12 is then integrated into a world three-dimensional coordinate system to accurately acquire the origin data of each heat source.

[0091] The technical features of the above embodiments can be combined arbitrarily, and the execution order of the method steps is not restricted. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0092] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A control method for an intelligent fire protection system for a power distribution cabinet, characterized in that, The control method of the intelligent fire protection system for the power distribution cabinet includes: The monitoring data of multiple thermal imagers are acquired. Each thermal imager is installed in a different position in the power distribution cabinet, and each thermal imager has a different detection angle in the power distribution cabinet. Three-dimensional data of each thermal imager is constructed based on the monitoring data of each thermal imager; Create a world three-dimensional coordinate system; The 3D data from each thermal imager are fused using the world 3D coordinate system to obtain the fused world 3D coordinate system. By analyzing and fusing the world three-dimensional coordinate system, heat source data of at least one heat source is obtained; Based on the heat source data of each heat source, determine the status of each heat source; Develop a fire-fighting strategy for each heat source based on its status.

2. The control method for the intelligent fire protection system of the power distribution cabinet according to claim 1, characterized in that, The construction of 3D data for each thermal imager based on monitoring data from each thermal imager includes: Select monitoring data from a thermal imager; The monitoring data of the thermal imager is analyzed to obtain the optical image data and thermal image data from the monitoring data of the thermal imager; The three-dimensional coordinate system of the thermal imager is constructed based on the optical image data in the monitoring data of the thermal imager; Based on the spatial correspondence between optical image data and thermal image data in the monitoring data of the thermal imager, the thermal image data in the monitoring data of the thermal imager is incorporated into the three-dimensional coordinate system of the thermal imager to obtain the three-dimensional data of the thermal imager. Return to the monitoring data of the selected thermal imager, until the monitoring data of each thermal imager has been selected once.

3. The control method for the intelligent fire protection system of the power distribution cabinet according to claim 2, characterized in that, The spatial correspondence between optical image data and thermal image data in the monitoring data based on the thermal imager is established. The thermal image data from the monitoring data is then incorporated into the three-dimensional coordinate system of the thermal imager to obtain its three-dimensional data. This process also includes: Feature extraction is performed on the optical image data in the monitoring data of the thermal imager to obtain at least one feature; Select a feature; Analyze the feature to obtain its size parameters; The size parameters of this feature are incorporated into the three-dimensional coordinate system of the thermal imager to obtain the preliminary three-dimensional data of the thermal imager; Return to the previous selection and continue until every feature has been selected once.

4. The control method for the intelligent fire protection system of the power distribution cabinet according to claim 3, characterized in that, The process of fusing the 3D data from each thermal imager into a world 3D coordinate system to obtain a fused world 3D coordinate system includes: Select three-dimensional data from a thermal imager; The three-dimensional data of the thermal imager is analyzed to obtain the origin of the three-dimensional coordinate system in the three-dimensional data of the thermal imager; Determine the coordinates of the origin of this three-dimensional coordinate system in the world three-dimensional coordinate system; Based on the coordinates of the origin of the three-dimensional coordinate system in the world three-dimensional coordinate system, the three-dimensional data of the thermal imager is transformed to obtain the world three-dimensional coordinate system after fusing the three-dimensional data of the thermal imager. Return to the selected 3D data of a thermal imager, until the 3D data of each thermal imager has been selected once.

5. The control method for the intelligent fire protection system of the power distribution cabinet according to claim 4, characterized in that, The analyzed and fused world three-dimensional coordinate system yields heat source data for at least one heat source, followed by: Select heat source data from a heat source; The heat source data of the heat source is analyzed to obtain the three-dimensional data of the thermal imager from different perspectives. Three-dimensional filling is performed on the three-dimensional data of thermal imagers from different perspectives to obtain the three-dimensional thermal imaging data after the heat source is filled. Return to the previous step of selecting a heat source, until each heat source has been selected once.

6. The control method for the intelligent fire protection system of the power distribution cabinet according to claim 5, characterized in that, The determination of the state of each heat source based on its heat source data includes: Select heat source data from a heat source; Analyze the heat source data of the heat source to obtain the filled three-dimensional thermal imaging data of the heat source data. Three-dimensional localization is performed based on the filled thermal imaging three-dimensional data to obtain the source point location information of the heat source; Return to the heat source data of the selected heat source, until the heat source data of each heat source has been selected once.

7. The control method for the intelligent fire protection system of the distribution cabinet according to claim 6, characterized in that, The process of determining the state of each heat source based on its heat source data further includes: Select a source point location; The source location information is analyzed to obtain the temperature data and feature data from the source location information; Determine whether the obtained temperature data matches the feature data; If the obtained temperature data matches the feature data, then the source point is normal; If the obtained temperature data does not match the feature data, the source point is considered abnormal, and an alarm message is sent. Return to the selected source point location information, until each source point location information has been selected once.

8. The control method for the intelligent fire protection system of the distribution cabinet according to claim 7, characterized in that, The determination of whether the obtained temperature data matches the feature data includes: Analyze the temperature data to obtain the temperature value and the rate of temperature change. Analyze the feature data to obtain the calibration temperature parameters of the features during operation; Determine whether the temperature value and temperature change rate are included in the calibration temperature parameters during characteristic operation.

9. The control method for the intelligent fire protection system of the power distribution cabinet according to claim 8, characterized in that, The method of formulating a fire-fighting strategy for each heat source based on its status includes: Select the state of a heat source; A first temperature threshold and a first temperature growth rate are created based on the feature data in the source location information of the heat source; Create a source point anomaly level table for this heat source; The heat source is defined as having a source point temperature that is less than a first temperature threshold and a source point temperature growth rate that is less than the first temperature growth rate per unit time. The condition where the source point temperature of the heat source is greater than the first temperature threshold and the rate of increase of the source point temperature of the heat source per unit time is less than the rate of increase of the first temperature threshold is defined as Level II. The heat source with a source point temperature greater than a first temperature threshold and a source point temperature growth rate greater than the first temperature growth rate per unit time is defined as Level 3. The anomaly level of the heat source is obtained based on the temperature data in the source location information of the heat source. If the anomaly level of the heat source is level one or level two, a warning message will be sent. If the anomaly level of the heat source is level one or level two, an alarm message will be sent. Return to the state of the selected heat source, until every state of every heat source has been selected once.

10. A power distribution cabinet, characterized in that, The power distribution cabinet includes: Distribution cabinet enclosure; Multiple thermal imagers are configured, and all of them are installed inside the power distribution cabinet. The thermal imagers are used to detect the internal temperature data of the power distribution cabinet. A fire suppression module is installed on the power distribution cabinet. The fire suppression module is used to extinguish fires inside the power distribution cabinet. A processing device is disposed on the power distribution cabinet, each of the thermal imagers is communicatively connected to the processing device, the fire protection module is communicatively connected to the processing device, and the processing device is used to execute the control method of the intelligent fire protection system for the power distribution cabinet as described in any one of claims 1 to 9.

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