Intelligent alarm system for abnormal state of power transmission network

Abstract

The invention relates to an intelligent alarm system for an abnormal state of a power transmission network. The intelligent alarm system comprises a dynamic trigger device, a monitoring camera device, a multi-layer mapping device, a state judgment mechanism and an abnormal alarm mechanism. According to the invention, on-site alarm operation can be carried out when the power transmission network is abnormal.

Description

Technical Field

[0001] The present invention relates to the field of power transmission networks, and in particular to an intelligent alarm system for abnormal states of power transmission networks. Background Art

[0002] The process of live operation of high-voltage transmission lines needs to be monitored all the time to prevent serious impact when abnormal conditions occur. Some related technologies are disclosed in the prior art. For example, CN118646152A discloses a method and system for monitoring abnormality of a transmission network based on machine learning, including collecting and integrating the safety thresholds of the pre-arranged safety voltage rated power and peak power in the transmission network according to the transmission line and substation reactance when different voltage waveforms are distorted in the transmission network, and obtaining a visualization chart of the voltage rated power and peak power per unit time of the reference transmission network; using the visualization chart of the voltage rated power and peak power per unit time of the reference transmission network as the reference comparison data, using the pre-arranged machine learning algorithm to monitor the changes in the reactance of the transmission line and substation of the received transformer interval voltage rated power and peak power, and issuing a transmission network abnormality warning for the jump voltage rated power and peak power; the technology also proposes the use of different models and algorithms to intelligently process the transmission network data, thereby improving the security of the transmission network.

[0003] CN118868422A discloses a dynamic load intelligent monitoring method and system for digital distribution network lines. The method comprises the following steps: determining the transmission lines in the distribution area through the distribution network, recording the load nodes on each transmission line, and collecting the historical load data of each load node; determining the load power consumption cycle change rate of each transmission line by constructing a periodic load monitoring model for the corresponding transmission line; analyzing the complexity of the dynamic load change of each load node within the cycle in combination with the load power consumption cycle change rate on the corresponding transmission line, and dividing the load nodes into complex levels according to the analysis results; comprehensively analyzing the distribution of the periodic complex load nodes of each transmission line according to the division results of each transmission line; outputting the periodic load power consumption change analysis data of the load nodes of each transmission line, and performing transmission regulation according to the distribution of the periodic complex load nodes of each transmission line.

[0004] Other situations may arise in the actual process, so new technologies need to be continuously developed. Summary of the invention

[0005] In order to solve the technical problems in the prior art, the present invention provides an intelligent alarm system for abnormal status of a power transmission network. By adopting a monitoring camera device arranged opposite to a 110~220kV power transmission network, the system is used to perform monitoring operations on the working scenes of the 110~220kV power transmission network upon receiving a replacement start instruction, so as to obtain and output a corresponding real-time monitoring picture. What is particularly critical is that a grayscale transformation enhancement operation, an image content enhancement operation applying an exponential transformation, and an edge sharpening operation are sequentially performed on the real-time monitoring picture to obtain and output a multi-layer mapping picture with better image quality, thereby providing more reliable reference information for subsequent status detection. In addition, based on the respective grayscale value distribution intervals of the operating electrician and the live wire, the sub-pictures corresponding to the operating electrician and the live wire are respectively identified from the received multi-layer mapping picture to be output as the first sub-picture and the second sub-picture, respectively, and the respective constituent pixel points of the first sub-picture are used as the respective electrician pixel points. The constituent pixel points of the second sub-image are used as the pixel points of the live wire, and the number of interval pixels between two pixels in any electrician pixel point live wire pixel point combination and the two imaging depths of field corresponding to the two pixels are obtained to determine the entity separation distance corresponding to any electrician pixel point live wire pixel point combination, and the entity separation distance with the smallest value in the entity separation distances corresponding to each electrician pixel point live wire pixel point combination is output as the closest separation distance between the working electrician and the live wire, and when the closest separation distance between the working electrician and the live wire is less than or equal to the set safety distance, an on-site alarm operation is performed for the abnormal state that the working electrician and the live wire are too close, so as to avoid the closest distance between the working electrician and the live wire on the pole tower being less than the set safety distance when performing ground potential replacement of 110~220kV straight line whole string insulators for the 110~220kV transmission network, thereby ensuring the personal safety of the working electrician.

[0006] According to the present invention, a power transmission network abnormal state intelligent alarm system is provided, the system comprising: A dynamic trigger device is used to trigger a replacement start instruction through user operation when the user determines to perform a ground potential replacement of a 110~220kV straight line string insulator for a 110~220kV transmission network; A monitoring camera device is arranged opposite to the 110~220kV power transmission network and connected to the dynamic trigger device, so as to perform a monitoring operation on the working scene of the 110~220kV power transmission network upon receiving the replacement start instruction, so as to obtain and output a corresponding real-time monitoring picture; A multi-layer mapping device, connected to the monitoring camera device and comprising a front-end mapping component, a mid-end mapping component and a terminal mapping component, for sequentially performing a grayscale transformation enhancement operation, an image content enhancement operation applying an exponential transformation and an edge sharpening operation on the received real-time monitoring picture, so as to obtain and output a corresponding multi-layer mapping picture; A state judgment mechanism is connected to the multi-layer mapping device, and is used to identify the sub-images corresponding to the working electrician and the live wire from the received multi-layer mapping image based on the respective grayscale value distribution intervals of the working electrician and the live wire, and output them as the first sub-image and the second sub-image respectively, use the constituent pixels of the first sub-image as the respective electrician pixels, use the constituent pixels of the second sub-image as the respective live wire pixels, obtain the number of interval pixels between two pixels in any combination of electrician pixels and live wire pixels and the two imaging depths of field corresponding to the two pixels to determine the entity separation distance corresponding to any combination of electrician pixels and live wire pixels, and output the entity separation distance with the smallest value among the entity separation distances corresponding to the respective combinations of electrician pixels and live wire pixels as the closest separation distance between the working electrician and the live wire; An abnormal alarm mechanism is connected to the state judgment mechanism, and is used to execute an on-site alarm operation of an abnormal state in which the working electrician and the live wire are too close when the closest distance between the working electrician and the live wire is less than or equal to a set safety distance, and is also used to suspend the on-site alarm operation of an abnormal state in which the working electrician and the live wire are too close when the closest distance between the working electrician and the live wire is greater than the set safety distance; Among them, the multi-layer mapping device is connected to the monitoring camera device and includes a front-end mapping component, a mid-end mapping component and a terminal mapping component, which is used to sequentially perform grayscale transformation enhancement operations, image content enhancement operations applying exponential transformations and edge sharpening operations on the received real-time monitoring pictures to obtain and output the corresponding multi-layer mapping pictures, including: the front-end mapping component, the mid-end mapping component and the terminal mapping component are sequentially connected.

[0007] It can be seen that the present invention has at least the following three important inventive features: Important invention point A: A monitoring camera device is arranged opposite to the 110~220kV power transmission network, and is used to perform monitoring operations on the working scene of the 110~220kV power transmission network upon receiving a replacement start instruction, so as to obtain and output a corresponding real-time monitoring picture. More importantly, a grayscale transformation enhancement operation, an image content enhancement operation using an exponential transformation, and an edge sharpening operation are sequentially performed on the real-time monitoring picture to obtain and output a multi-layer mapping picture with better image quality, so as to provide more reliable reference information for subsequent status detection; Important invention point B: Based on the grayscale value distribution intervals of the working electrician and the live wire, the sub-pictures corresponding to the working electrician and the live wire are respectively identified from the received multi-layer mapping picture to be output as the first sub-picture and the second sub-picture respectively, and the constituent pixel points of the first sub-picture are used as the electrician pixel points, and the constituent pixel points of the second sub-picture are used as the live wire pixel points; Important invention point C: The number of pixels between two pixels in any electrician pixel point live wire pixel point combination and two imaging depths of field corresponding to the two pixels are obtained to determine the entity separation distance corresponding to any electrician pixel point live wire pixel point combination, and the entity separation distance with the smallest value among the entity separation distances corresponding to each electrician pixel point live wire pixel point combination is output as the closest separation distance between the working electrician and the live wire, and when the closest separation distance between the working electrician and the live wire is less than or equal to the set safety distance, an on-site alarm operation is performed for the abnormal state that the working electrician and the live wire are too close, so as to avoid the closest distance between the working electrician and the live wire on the pole tower being less than the set safety distance when performing ground potential replacement of 110~220kV straight line whole string insulators for the 110~220kV transmission network, thereby ensuring the personal safety of the working electrician. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0009] Figure 1 Schematic diagram of the internal structure of the intelligent alarm system for abnormal status of the power transmission network according to implementation A of the present invention.

[0010] Figure 2 Schematic diagram of the internal structure of the intelligent alarm system for abnormal status of the power transmission network according to implementation scheme B of the present invention.

[0011] Figure 3 Schematic diagram of the internal structure of the intelligent alarm system for abnormal status of the power transmission network according to Implementation Scheme C of the present invention. DETAILED DESCRIPTION

[0012] During live working on high-voltage transmission lines, steady-state and transient electric shocks may occur, and the currents they cause will pose a certain threat to the safety of workers. When workers are working on live lines, they will touch the conductor of a strong electric field, and the conductor is insulated from the ground, so that when the conductor touches the person, a large amount of energy is generated, resulting in a transient electric shock. In this process, the greater the amount of electricity passing through the human body, the greater the harm to the worker. At the same time, workers will also suffer from steady-state electric shocks. The conductor in the strong electric field is formed by coupling capacitance, and steady-state electric shocks are generated by contacting the conductor.

[0013] Therefore, it is necessary to ensure the safe distance between the electrician working on the tower and the live wire to avoid excessive electricity passing through the human body of the electrician as a worker, especially when performing the ground potential replacement of 110~220kV straight line whole string insulators for 110~220kV transmission network. Obviously, the prior art lacks an analysis mechanism and an alarm mechanism to avoid the abnormal state of the real-time closest distance between the working electrician and the live wire being within the safe distance when performing the ground potential replacement of 110~220kV straight line whole string insulators for 110~220kV transmission network.

[0014] The implementation scheme of the intelligent alarm system for abnormal state of power transmission network of the present invention will be described in detail with reference to the accompanying drawings.

[0015] Figure 1 The internal structure diagram of the intelligent alarm system for abnormal state of power transmission network according to embodiment A of the present invention is shown, and the system comprises: A dynamic trigger device is used to trigger a replacement start instruction through user operation when the user determines to perform a ground potential replacement of a 110~220kV straight line string insulator for a 110~220kV transmission network; For example, a dynamic trigger device is used to trigger a replacement start instruction through user operation when the user determines to perform a ground potential replacement of a 110~220kV straight line whole string insulator for a 110~220kV transmission network, including: the dynamic trigger device is a CPLD device designed in VHDL language; A monitoring camera device is arranged opposite to the 110~220kV power transmission network and connected to the dynamic trigger device, so as to perform a monitoring operation on the working scene of the 110~220kV power transmission network upon receiving the replacement start instruction, so as to obtain and output a corresponding real-time monitoring picture; A multi-layer mapping device, connected to the monitoring camera device and comprising a front-end mapping component, a mid-end mapping component and a terminal mapping component, for sequentially performing a grayscale transformation enhancement operation, an image content enhancement operation applying an exponential transformation and an edge sharpening operation on the received real-time monitoring picture, so as to obtain and output a corresponding multi-layer mapping picture; A state judgment mechanism is connected to the multi-layer mapping device, and is used to identify the sub-images corresponding to the working electrician and the live wire from the received multi-layer mapping image based on the respective grayscale value distribution intervals of the working electrician and the live wire, and output them as the first sub-image and the second sub-image respectively, use the constituent pixels of the first sub-image as the respective electrician pixels, use the constituent pixels of the second sub-image as the respective live wire pixels, obtain the number of interval pixels between two pixels in any combination of electrician pixels and live wire pixels and the two imaging depths of field corresponding to the two pixels to determine the entity separation distance corresponding to any combination of electrician pixels and live wire pixels, and output the entity separation distance with the smallest value among the entity separation distances corresponding to the respective combinations of electrician pixels and live wire pixels as the closest separation distance between the working electrician and the live wire; An abnormal alarm mechanism is connected to the state judgment mechanism, and is used to execute an on-site alarm operation of an abnormal state in which the working electrician and the live wire are too close when the closest distance between the working electrician and the live wire is less than or equal to a set safety distance, and is also used to suspend the on-site alarm operation of an abnormal state in which the working electrician and the live wire are too close when the closest distance between the working electrician and the live wire is greater than the set safety distance; Wherein, the multi-layer mapping device is connected to the monitoring camera device and includes a front-end mapping component, a mid-end mapping component and a terminal mapping component, and is used to sequentially perform a grayscale transformation enhancement operation, an image content enhancement operation using an exponential transformation and an edge sharpening operation on the received real-time monitoring picture to obtain and output a corresponding multi-layer mapping picture, including: the front-end mapping component, the mid-end mapping component and the terminal mapping component are sequentially connected; Among them, the multi-layer mapping device is connected to the monitoring camera device and includes a front-end mapping component, a mid-end mapping component and a terminal mapping component, which is used to sequentially perform grayscale transformation enhancement operations, image content enhancement operations using exponential transformations and edge sharpening operations on the received real-time monitoring pictures to obtain and output the corresponding multi-layer mapping pictures. It also includes: the front-end mapping component, the mid-end mapping component and the terminal mapping component respectively perform grayscale transformation enhancement operations, image content enhancement operations using exponential transformations and edge sharpening operations on the received picture signals.

[0016] Figure 2 Schematic diagram of the internal structure of the intelligent alarm system for abnormal status of the power transmission network according to implementation scheme B of the present invention.

[0017] Compared with implementation scheme A, the power transmission network abnormal state intelligent alarm system shown in implementation scheme B may also include the following components: A dust measuring mechanism, comprising a plurality of dust measuring units, for respectively measuring current surface dust concentration values ​​of the state judgment mechanism, the front-end mapping component, the middle-end mapping component and the end-end mapping component; Wherein, the dust measuring mechanism comprises a plurality of dust measuring units, which are used to respectively measure the current surface dust concentration values ​​of the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, including: the plurality of dust measuring units respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component are a plurality of non-contact dust concentration sensors; Wherein, the dust measuring mechanism includes a plurality of dust measuring units for respectively measuring the current surface dust concentration values ​​of the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, and further includes: the internal structures of the plurality of non-contact dust concentration sensors respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component are the same; Among them, the dust measuring mechanism includes multiple dust measuring units, which are used to respectively measure the current surface dust concentration values ​​of the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, and also includes: multiple non-contact dust concentration sensors respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component have the same dust measurement upper limit threshold and dust measurement lower limit threshold.

[0018] Among them, the dust measuring mechanism includes multiple dust measuring units, which are used to respectively measure the current surface dust concentration values ​​of the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, and also includes: the distances between the multiple non-contact dust concentration sensors respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component are equal.

[0019] Figure 3 Schematic diagram of the internal structure of the intelligent alarm system for abnormal status of the power transmission network according to Implementation Scheme C of the present invention.

[0020] Compared with implementation scheme A, the power transmission network abnormal state intelligent alarm system shown in implementation scheme C may also include the following components: a content notification device, connected to the plurality of non-contact dust concentration sensors respectively used by the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, for performing corresponding dust alarm actions based on dust concentration measurement results of the plurality of non-contact dust concentration sensors respectively used by the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component; Wherein, the content notification device is respectively connected to a plurality of non-contact dust concentration sensors respectively used by the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, and is used to perform corresponding dust alarm actions based on dust concentration measurement results of the plurality of non-contact dust concentration sensors respectively used by the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, including: the content notification device has a built-in dust receiving unit, a dust judgment unit and a notification execution unit; And wherein, the content notification device is respectively connected to multiple non-contact dust concentration sensors respectively used for the status judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, and is used to perform corresponding dust alarm actions based on the dust concentration measurement results of the multiple non-contact dust concentration sensors respectively used for the status judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, and also includes: in the content notification device, the dust receiving unit, the dust judgment unit and the notification execution unit are connected in sequence.

[0021] In addition, in the intelligent alarm system for abnormal status of the power transmission network, a multi-layer mapping device is connected to the monitoring camera device and includes a front-end mapping component, a mid-end mapping component and a terminal mapping component, which is used to sequentially perform grayscale transformation enhancement operations, image content enhancement operations using exponential transformations and edge sharpening operations on the received real-time monitoring images to obtain and output the corresponding multi-layer mapping images. It also includes: programmable logic devices with different computing performance are used to respectively implement the front-end mapping component, the mid-end mapping component and the terminal mapping component.

[0022] The intelligent alarm system for abnormal state of power transmission network of the present invention is adopted to solve the technical problem that in the prior art, when performing the operation of replacing the ground potential of a 110~220kV straight line whole string insulator in a 110~220kV transmission network, there is a lack of analysis mechanism and alarm mechanism to avoid the abnormal state of the real-time closest distance between the working electrician and the live wire being within the safety distance. By outputting the smallest physical distance between each physical distance corresponding to each combination of electrician pixel points and live wire pixel points as the closest distance between the working electrician and the live wire, and when the closest distance between the working electrician and the live wire is less than or equal to the set safety distance, an on-site alarm operation is performed for the abnormal state of the working electrician and the live wire being too close, thereby ensuring the personal safety of the working electrician and solving the above technical problems.

[0023] Obviously, those skilled in the art can make different modifications and improvements to the present invention. Therefore, the present invention is intended to include all modifications and improvements to the present invention that fall within the scope of the appended claims and their equivalents.

Claims

1. A power transmission network abnormal state intelligent alarm system, characterized in that: The system comprises: A dynamic trigger device is used to trigger a replacement start instruction through user operation when the user determines to perform a ground potential replacement of a 110~220kV straight line string insulator for a 110~220kV transmission network; A monitoring camera device is arranged opposite to the 110~220kV power transmission network and connected to the dynamic trigger device, so as to perform a monitoring operation on the working scene of the 110~220kV power transmission network upon receiving the replacement start instruction, so as to obtain and output a corresponding real-time monitoring picture; A multi-layer mapping device, connected to the monitoring camera device and comprising a front-end mapping component, a mid-end mapping component and a terminal mapping component, for sequentially performing a grayscale transformation enhancement operation, an image content enhancement operation applying an exponential transformation and an edge sharpening operation on the received real-time monitoring picture, so as to obtain and output a corresponding multi-layer mapping picture; A state judgment mechanism is connected to the multi-layer mapping device, and is used to identify the sub-images corresponding to the working electrician and the live wire from the received multi-layer mapping image based on the respective grayscale value distribution intervals of the working electrician and the live wire, and output them as the first sub-image and the second sub-image respectively, use the constituent pixels of the first sub-image as the respective electrician pixels, use the constituent pixels of the second sub-image as the respective live wire pixels, obtain the number of interval pixels between two pixels in any combination of electrician pixels and live wire pixels and the two imaging depths of field corresponding to the two pixels to determine the entity separation distance corresponding to any combination of electrician pixels and live wire pixels, and output the entity separation distance with the smallest value among the entity separation distances corresponding to the respective combinations of electrician pixels and live wire pixels as the closest separation distance between the working electrician and the live wire; An abnormal alarm mechanism is connected to the state judgment mechanism, and is used to execute an on-site alarm operation of an abnormal state in which the working electrician and the live wire are too close when the closest distance between the working electrician and the live wire is less than or equal to a set safety distance, and is also used to suspend the on-site alarm operation of an abnormal state in which the working electrician and the live wire are too close when the closest distance between the working electrician and the live wire is greater than the set safety distance; Among them, the multi-layer mapping device is connected to the monitoring camera device and includes a front-end mapping component, a mid-end mapping component and a terminal mapping component, which is used to sequentially perform grayscale transformation enhancement operations, image content enhancement operations applying exponential transformations and edge sharpening operations on the received real-time monitoring pictures to obtain and output the corresponding multi-layer mapping pictures, including: the front-end mapping component, the mid-end mapping component and the terminal mapping component are sequentially connected.

2. The power transmission network abnormal state intelligent alarm system according to claim 1, characterized in that: A multi-layer mapping device is connected to the monitoring camera device and includes a front-end mapping component, a mid-end mapping component and a terminal mapping component, and is used to sequentially perform grayscale transformation enhancement operations, image content enhancement operations using exponential transformations and edge sharpening operations on the received real-time monitoring pictures to obtain and output corresponding multi-layer mapping pictures. The device also includes: the front-end mapping component, the mid-end mapping component and the terminal mapping component respectively perform grayscale transformation enhancement operations, image content enhancement operations using exponential transformations and edge sharpening operations on the received picture signals.

3. The power transmission network abnormal state intelligent alarm system according to claim 2, characterized in that: The system further comprises: A dust measuring mechanism, comprising a plurality of dust measuring units, for respectively measuring current surface dust concentration values ​​of the state judgment mechanism, the front-end mapping component, the middle-end mapping component and the end-end mapping component; Among them, the dust measuring mechanism includes multiple dust measuring units, which are used to respectively measure the current surface dust concentration values ​​of the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, including: the multiple dust measuring units respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component are multiple non-contact dust concentration sensors.

4. The power transmission network abnormal state intelligent alarm system according to claim 3, characterized in that: The dust measuring mechanism includes multiple dust measuring units, which are used to respectively measure the current surface dust concentration values ​​of the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component. It also includes: the internal structures of multiple non-contact dust concentration sensors respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component are the same.

5. The power transmission network abnormal state intelligent alarm system according to claim 3, characterized in that: The dust measuring mechanism includes a plurality of dust measuring units, which are used to respectively measure the current surface dust concentration values ​​of the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, and also includes: a plurality of non-contact dust concentration sensors respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component have the same dust measurement upper limit threshold and dust measurement lower limit threshold.

6. The power transmission network abnormal state intelligent alarm system according to claim 5, characterized in that: The dust measuring mechanism includes a plurality of dust measuring units, which are used to respectively measure the current surface dust concentration values ​​of the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, and also includes: the distances of the plurality of non-contact dust concentration sensors respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component to the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component are equal.

7. The power transmission network abnormal state intelligent alarm system according to claim 3, characterized in that: The system further comprises: The content notification device is respectively connected to multiple non-contact dust concentration sensors respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, and is used to perform corresponding dust alarm actions based on the dust concentration measurement results of the multiple non-contact dust concentration sensors respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component.

8. The power transmission network abnormal state intelligent alarm system according to claim 7, characterized in that: The content notification device is respectively connected to multiple non-contact dust concentration sensors respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, and is used to perform corresponding dust alarm actions based on dust concentration measurement results of the multiple non-contact dust concentration sensors respectively used for the state judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, including: the content notification device has a built-in dust receiving unit, a dust judgment unit and a notification execution unit.

9. The power transmission network abnormal state intelligent alarm system according to claim 8, characterized in that: The content notification device is respectively connected to multiple non-contact dust concentration sensors respectively used for the status judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component, and is used to perform corresponding dust alarm actions based on the dust concentration measurement results of the multiple non-contact dust concentration sensors respectively used for the status judgment mechanism, the front-end mapping component, the mid-end mapping component and the terminal mapping component. It also includes: in the content notification device, the dust receiving unit, the dust judgment unit and the notification execution unit are connected in sequence.

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