Multi-type camera configuration method and device for transportation dynamic monitoring

Abstract

The invention discloses a multi-type camera configuration method and device for transportation dynamic monitoring. The method comprises the following steps: acquiring camera information and image angle data; classifying and binding the image angle data and the camera information to obtain to-be-configured information; generating a monitoring configuration strategy according to a preset scene demand matrix and the to-be-configured information; and transmitting the monitoring configuration strategy to a transportation dynamic system. The method solves the problems that in the prior art, in the multi-type configuration process of cameras, adjustment strategies of different cameras are called only by using parameter arrays of different cameras, so that one-by-one configuration is carried out, macroscopic configuration of multi-type camera systems cannot be implemented according to scene image acquisition conditions when the cameras are applied in a complex scene, and the cost is low. And the working efficiency is low.

Description

Technical Field

[0001] The present invention relates to the field of image processing hardware configuration, and in particular to a method and device for configuring multiple types of cameras for dynamic transportation monitoring. Background Art

[0002] With the continuous development of intelligent technology, people are increasingly using intelligent devices in their lives, work and study. The use of intelligent technology has improved the quality of people's lives and increased the efficiency of their study and work.

[0003] Currently, a commonly used camera linkage adjustment method for transport status monitoring determines camera position, parameters, and other data based on the actual application scenario, and adjusts different cameras based on the adjustment channels and methods. However, the existing multi-camera configuration process simply utilizes the parameter arrays of different cameras to call the adjustment strategies for each camera, thereby configuring each camera one by one. This is unable to implement macro-configuration of multiple camera types based on scene image acquisition in complex scenarios, resulting in low work efficiency.

[0004] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0005] An embodiment of the present invention provides a method and device for configuring multiple types of cameras for dynamic monitoring of transportation, so as to at least solve the technical problem that the multiple types of camera configuration process in the existing technology only uses the parameter arrays of different cameras to call the adjustment strategies of different cameras, so as to configure them one by one, and cannot implement macro-configuration of multiple types of camera systems according to the scene image acquisition conditions when applied in complex scenes, resulting in low work efficiency.

[0006] According to one aspect of an embodiment of the present invention, a method for configuring multiple types of cameras for dynamic transportation monitoring is provided, including: obtaining camera information and image angle data; classifying and binding the image angle data and the camera information to obtain information to be configured; generating a monitoring configuration strategy based on a preset scenario requirement matrix and the information to be configured; and transmitting the monitoring configuration strategy to a dynamic transportation system.

[0007] Optionally, the image angle data includes: image shooting angle parameters and image function angle parameters.

[0008] Optionally, the classifying and binding the image angle data and the camera information to obtain the information to be configured includes: decomposing and sorting the image angle data to obtain the angle data to be matched; decomposing and sorting the camera information to obtain the camera information to be matched; and pairing the camera information to be matched with the corresponding angle data to be matched according to a preset matching mapping relationship to obtain the information to be configured.

[0009] Optionally, generating a monitoring configuration strategy based on a preset scenario requirement matrix and the information to be configured includes: obtaining preset scenario parameters; constructing the preset scenario requirement matrix based on the preset scenario parameters; and inputting the information to be configured into the preset scenario requirement matrix to obtain the monitoring configuration strategy, wherein the preset scenario requirement matrix includes:

[0010]

[0011] Among them, P1 to Pn are the information to be configured, and J1 to Jn are the monitoring configuration strategies output by the matrix.

[0012] According to another aspect of an embodiment of the present invention, a multi-type camera configuration device for dynamic transportation monitoring is also provided, including: an acquisition module for acquiring camera information and image angle data; a binding module for classifying and binding the image angle data and the camera information to obtain information to be configured; a strategy module for generating a monitoring configuration strategy based on a preset scenario requirement matrix and the information to be configured; and a transmission module for transmitting the monitoring configuration strategy to a dynamic transportation system.

[0013] Optionally, the image angle data includes: image shooting angle parameters and image function angle parameters.

[0014] Optionally, the binding module includes: a first sorting unit, used to decompose and sort the image angle data to obtain the angle data to be matched; a second sorting unit, used to decompose and sort the camera information to obtain the camera information to be matched; a pairing unit, used to pair the camera information to be matched with the corresponding angle data to be matched according to a preset matching mapping relationship to obtain the information to be configured.

[0015] Optionally, the policy module includes: an acquisition unit for acquiring preset scenario parameters; a construction unit for constructing the preset scenario requirement matrix based on the preset scenario parameters; and a matching unit for inputting the to-be-configured information into the preset scenario requirement matrix to obtain the monitoring configuration policy, wherein the preset scenario requirement matrix includes:

[0016]

[0017] Among them, P1 to Pn are the information to be configured, and J1 to Jn are the monitoring configuration strategies output by the matrix.

[0018] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is also provided, which includes a stored program, wherein when the program is run, it controls the device where the non-volatile storage medium is located to execute a multi-type camera configuration method for dynamic transportation monitoring.

[0019] According to another aspect of an embodiment of the present invention, an electronic device is also provided, comprising a processor and a memory; the memory stores computer-readable instructions, and the processor is used to run the computer-readable instructions, wherein the computer-readable instructions, when running, execute a method for configuring multiple types of cameras for dynamic monitoring of transportation.

[0020] In an embodiment of the present invention, a method is adopted in which camera information and image angle data are obtained; the image angle data and the camera information are classified and bound to obtain information to be configured; a monitoring configuration strategy is generated according to a preset scene requirement matrix and the information to be configured; and the monitoring configuration strategy is transmitted to a transportation dynamic system. This method solves the technical problem that the conventional process of configuring multiple types of cameras only utilizes parameter arrays of different cameras to call adjustment strategies of different cameras for configuring them one by one, and is unable to implement macro-configuration of multiple types of camera systems according to scene image acquisition conditions when applied in complex scenes, resulting in low work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0022] Figure 1 is a flow chart of a method for configuring multiple types of cameras for dynamic transportation monitoring according to an embodiment of the present invention;

[0023] Figure 2 This is a structural block diagram of a multi-type camera configuration device for dynamic transportation monitoring according to an embodiment of the present invention;

[0024] Figure 3 is a block diagram of a terminal device for executing a method according to an embodiment of the present invention;

[0025] Figure 4 It is a storage unit for holding or carrying a program code for implementing a method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] According to an embodiment of the present invention, a method embodiment of a method for configuring multiple types of cameras for dynamic monitoring of transportation is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0029] Example 1

[0030] Figure 1 is a flow chart of a method for configuring multiple types of cameras for dynamic transportation monitoring according to an embodiment of the present invention. Figure 1 As shown, the method includes the following steps:

[0031] Step S102: Obtain camera information and image angle data.

[0032] Step S104: Classify and bind the image angle data and the camera information to obtain information to be configured.

[0033] Step S106: Generate a monitoring configuration strategy based on the preset scenario requirement matrix and the information to be configured.

[0034] Step S108: transmitting the monitoring configuration strategy to the transportation dynamics system.

[0035] Optionally, the image angle data includes: image shooting angle parameters and image function angle parameters.

[0036] Optionally, the classifying and binding the image angle data and the camera information to obtain the information to be configured includes: decomposing and sorting the image angle data to obtain the angle data to be matched; decomposing and sorting the camera information to obtain the camera information to be matched; and pairing the camera information to be matched with the corresponding angle data to be matched according to a preset matching mapping relationship to obtain the information to be configured.

[0037] Optionally, generating a monitoring configuration strategy based on a preset scenario requirement matrix and the information to be configured includes: obtaining preset scenario parameters; constructing the preset scenario requirement matrix based on the preset scenario parameters; and inputting the information to be configured into the preset scenario requirement matrix to obtain the monitoring configuration strategy, wherein the preset scenario requirement matrix includes:

[0038]

[0039] Among them, P1 to Pn are the information to be configured, and J1 to Jn are the monitoring configuration strategies output by the matrix.

[0040] Through the above embodiments, the technical problem of low work efficiency in the prior art in which the process of configuring multiple types of cameras in the prior art only uses parameter arrays of different cameras to call adjustment strategies of different cameras for configuration one by one, and cannot implement macro-configuration of multiple types of camera systems according to the scene image acquisition conditions when applied in complex scenes is solved.

[0041] Example 2

[0042] Figure 2 is a structural block diagram of a multi-type camera configuration device for dynamic transportation monitoring according to an embodiment of the present invention. Figure 2 As shown, the device includes:

[0043] The acquisition module 20 is used to acquire camera information and image angle data.

[0044] The binding module 22 is used to classify and bind the image angle data and the camera information to obtain information to be configured.

[0045] The strategy module 24 is configured to generate a monitoring configuration strategy based on a preset scenario requirement matrix and the information to be configured.

[0046] The transmission module 26 is used to transmit the monitoring configuration strategy to the transportation dynamics system.

[0047] Optionally, the image angle data includes: image shooting angle parameters and image function angle parameters.

[0048] Optionally, the binding module includes: a first sorting unit, used to decompose and sort the image angle data to obtain the angle data to be matched; a second sorting unit, used to decompose and sort the camera information to obtain the camera information to be matched; a pairing unit, used to pair the camera information to be matched with the corresponding angle data to be matched according to a preset matching mapping relationship to obtain the information to be configured.

[0049] Optionally, the policy module includes: an acquisition unit for acquiring preset scenario parameters; a construction unit for constructing the preset scenario requirement matrix based on the preset scenario parameters; and a matching unit for inputting the to-be-configured information into the preset scenario requirement matrix to obtain the monitoring configuration policy, wherein the preset scenario requirement matrix includes:

[0050]

[0051] Among them, P1 to Pn are the information to be configured, and J1 to Jn are the monitoring configuration strategies output by the matrix.

[0052] Through the above embodiments, the technical problem of low work efficiency in the prior art in which the process of configuring multiple types of cameras in the prior art only uses parameter arrays of different cameras to call adjustment strategies of different cameras for configuration one by one, and cannot implement macro-configuration of multiple types of camera systems according to the scene image acquisition conditions when applied in complex scenes is solved.

[0053] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is also provided, which includes a stored program, wherein when the program is run, it controls the device where the non-volatile storage medium is located to execute a multi-type camera configuration method for dynamic transportation monitoring.

[0054] Specifically, the above method includes: obtaining camera information and image angle data; classifying and binding the image angle data and the camera information to obtain information to be configured; generating a monitoring configuration strategy based on a preset scene requirement matrix and the information to be configured; and transmitting the monitoring configuration strategy to the transportation dynamic system. Optionally, the image angle data includes: image shooting angle parameters and image function angle parameters. Optionally, classifying and binding the image angle data and the camera information to obtain information to be configured includes: decomposing and sorting the image angle data to obtain angle data to be matched; decomposing and sorting the camera information to obtain camera information to be matched; pairing the camera information to be matched with the corresponding angle data to be matched according to a preset matching mapping relationship to obtain the information to be configured. Optionally, generating a monitoring configuration strategy based on a preset scene requirement matrix and the information to be configured includes: obtaining preset scene parameters; constructing the preset scene requirement matrix based on the preset scene parameters; inputting the information to be configured into the preset scene requirement matrix to obtain the monitoring configuration strategy, wherein the preset scene requirement matrix includes:

[0055]

[0056] Among them, P1 to Pn are the information to be configured, and J1 to Jn are the monitoring configuration strategies output by the matrix.

[0057] According to another aspect of an embodiment of the present invention, an electronic device is also provided, comprising a processor and a memory; the memory stores computer-readable instructions, and the processor is used to run the computer-readable instructions, wherein the computer-readable instructions, when running, execute a method for configuring multiple types of cameras for dynamic monitoring of transportation.

[0058] Specifically, the above method includes: obtaining camera information and image angle data; classifying and binding the image angle data and the camera information to obtain information to be configured; generating a monitoring configuration strategy based on a preset scene requirement matrix and the information to be configured; and transmitting the monitoring configuration strategy to the transportation dynamic system. Optionally, the image angle data includes: image shooting angle parameters and image function angle parameters. Optionally, classifying and binding the image angle data and the camera information to obtain information to be configured includes: decomposing and sorting the image angle data to obtain angle data to be matched; decomposing and sorting the camera information to obtain camera information to be matched; pairing the camera information to be matched with the corresponding angle data to be matched according to a preset matching mapping relationship to obtain the information to be configured. Optionally, generating a monitoring configuration strategy based on a preset scene requirement matrix and the information to be configured includes: obtaining preset scene parameters; constructing the preset scene requirement matrix based on the preset scene parameters; inputting the information to be configured into the preset scene requirement matrix to obtain the monitoring configuration strategy, wherein the preset scene requirement matrix includes:

[0059]

[0060] Among them, P1 to Pn are the information to be configured, and J1 to Jn are the monitoring configuration strategies output by the matrix.

[0061] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0062] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0063] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0064] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0065] in addition, Figure 3 This is a schematic diagram of the hardware structure of a terminal device provided in one embodiment of the present application. Figure 3 As shown, the terminal device may include an input device 30, a processor 31, an output device 32, a memory 33, and at least one communication bus 34. Communication bus 34 is used to implement communication between components. Memory 33 may include high-speed RAM memory or non-volatile storage (NVM), such as at least one disk storage device. Memory 33 may store various programs for performing various processing functions and implementing the method steps of this embodiment.

[0066] Optionally, the processor 31 may be implemented as, for example, a central processing unit (CPU), an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components. The processor 31 is coupled to the input device 30 and the output device 32 via a wired or wireless connection.

[0067] Optionally, the input device 30 may include multiple input devices, such as at least one of a user interface, a device interface, a software programmable interface, a camera, and a sensor. Optionally, the device interface may be a wired interface for data transmission between devices, or a hardware plug-in interface (such as a USB interface or serial port) for data transmission between devices. Optionally, the user interface may include, for example, user-facing control buttons, a voice input device for receiving voice input, and a touch-sensitive device (such as a touchscreen or touchpad with touch sensing capabilities) for receiving touch input. Optionally, the software programmable interface may include, for example, an entry point for users to edit or modify programs, such as a chip input pin interface or input interface. Optionally, the transceiver may include a radio frequency transceiver chip with communication capabilities, a baseband processing chip, and a transceiver antenna. Audio input devices such as microphones may receive voice data. Output device 32 may include a display, speakers, and other output devices.

[0068] In this embodiment, the processor of the terminal device includes functions for executing each module of the data processing device in each device. The specific functions and technical effects can be referred to the above embodiments and will not be repeated here.

[0069] Figure 4 A schematic diagram of the hardware structure of a terminal device provided in another embodiment of the present application. Figure 4 Yes Figure 3 A specific embodiment in the implementation process. Figure 4 As shown, the terminal device of this embodiment includes a processor 41 and a memory 42.

[0070] The processor 41 executes the computer program code stored in the memory 42 to implement the method in the above embodiment.

[0071] Memory 42 is configured to store various types of data to support operations on the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, images, and videos. Memory 42 may include random access memory (RAM) and may also include non-volatile memory, such as at least one disk drive.

[0072] Optionally, the processor 41 is provided in the processing component 40. The terminal device may further include: a communication component 43, a power component 44, a multimedia component 45, an audio component 46, an input / output interface 47, and / or a sensor component 48. The specific components included in the terminal device are set according to actual needs and are not limited in this embodiment.

[0073] The processing component 40 generally controls the overall operation of the terminal device. The processing component 40 may include one or more processors 41 to execute instructions to complete all or part of the steps of the above-described method. Furthermore, the processing component 40 may include one or more modules to facilitate interaction between the processing component 40 and other components. For example, the processing component 40 may include a multimedia module to facilitate interaction between the multimedia component 45 and the processing component 40.

[0074] The power supply component 44 provides power to various components of the terminal device. The power supply component 44 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the terminal device.

[0075] The multimedia component 45 includes a display screen that provides an output interface between the terminal device and the user. In some embodiments, the display screen may include a liquid crystal display (LCD) and a touch panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensors may not only sense the boundaries of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action.

[0076] The audio component 46 is configured to output and / or input audio signals. For example, the audio component 46 includes a microphone (MIC) that is configured to receive external audio signals when the terminal device is in an operating mode, such as voice recognition mode. The received audio signals may be further stored in the memory 42 or transmitted via the communication component 43. In some embodiments, the audio component 46 also includes a speaker for outputting audio signals.

[0077] The input / output interface 47 provides an interface between the processing component 40 and peripheral interface modules, such as click wheels, buttons, etc. These buttons may include, but are not limited to, volume buttons, start buttons, and lock buttons.

[0078] The sensor assembly 48 includes one or more sensors for providing various status assessments for the terminal device. For example, the sensor assembly 48 can detect the open / closed state of the terminal device, the relative positioning of components, and the presence or absence of user contact with the terminal device. The sensor assembly 48 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 48 may also include a camera, etc.

[0079] The communication component 43 is configured to facilitate wired or wireless communication between the terminal device and other devices. The terminal device can access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot for inserting a SIM card, allowing the terminal device to log into a GPRS network and establish communication with a server via the Internet.

[0080] From the above, we can see that Figure 4 The communication component 43, audio component 46, input / output interface 47, and sensor component 48 involved in the embodiment can all be used as Figure 3 Implementation of the input device in the embodiment.

[0081] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0082] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0083] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0084] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), a mobile hard drive, a magnetic disk, or an optical disk.

[0085] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for configuring multiple cameras for dynamic transportation monitoring, characterized in that: include: Get camera information and image angle data; Classify and bind the image angle data and the camera information to obtain information to be configured; Generate a monitoring configuration strategy based on the preset scenario requirement matrix and the information to be configured; The monitoring configuration strategy is transmitted to the transportation dynamics system.

2. The method according to claim 1, characterized in that The image angle data includes: image shooting angle parameters and image function angle parameters.

3. The method according to claim 1, characterized in that The image angle data and the camera information are classified and bound to obtain the information to be configured, including: Decomposing and sorting the image angle data to obtain angle data to be matched; Decomposing and sorting the camera information to obtain camera information to be matched; According to a preset matching mapping relationship, the camera information to be matched is paired with the corresponding angle data to be matched to obtain the information to be configured.

4. The method according to claim 1, wherein Generating a monitoring configuration strategy according to the preset scenario requirement matrix and the information to be configured includes: Get preset scene parameters; Constructing the preset scenario demand matrix according to the preset scenario parameters; Input the information to be configured into the preset scenario requirement matrix to obtain the monitoring configuration strategy, wherein the preset scenario requirement matrix includes: Among them, P1 to Pn are the information to be configured, and J1 to Jn are the monitoring configuration strategies output by the matrix.

5. A multi-type camera configuration device for dynamic transportation monitoring, characterized in that: include: Acquisition module, used to obtain camera information and image angle data; A binding module, configured to classify and bind the image angle data and the camera information to obtain information to be configured; A strategy module, configured to generate a monitoring configuration strategy based on a preset scenario requirement matrix and the information to be configured; The transmission module is used to transmit the monitoring configuration strategy to the transportation dynamics system.

6. The device according to claim 5, characterized in that The image angle data includes: image shooting angle parameters and image function angle parameters.

7. The device according to claim 5, characterized in that The binding module includes: A first sorting unit is used to decompose and sort the image angle data to obtain angle data to be matched; A second sorting unit is used to decompose and sort the camera information to obtain camera information to be matched; The pairing unit is used to pair the camera information to be matched with the corresponding angle data to be matched according to a preset matching mapping relationship to obtain the information to be configured.

8. The device according to claim 5, characterized in that The policy module includes: An acquisition unit, used to acquire preset scene parameters; A construction unit, configured to construct the preset scenario requirement matrix according to the preset scenario parameters; A matching unit is configured to input the information to be configured into the preset scenario requirement matrix to obtain the monitoring configuration strategy, wherein the preset scenario requirement matrix includes: Among them, P1 to Pn are the information to be configured, and J1 to Jn are the monitoring configuration strategies output by the matrix.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute the method according to any one of claims 1 to 4.

10. An electronic device, characterized in that: The method comprises a processor and a memory; the memory stores computer-readable instructions, and the processor is used to execute the computer-readable instructions, wherein the computer-readable instructions execute the method according to any one of claims 1 to 4 when executed.

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