Panoramic perception control method, system and integrated distribution box based on electric power contact system

Abstract

The present disclosure relates to a panoramic perception control method, system and integrated distribution box based on an electric field system, and relates to the technical field of electric power; the electric field system is integrated into the power distribution network, so that the distribution box, the power distribution line and the power equipment are connected through the electric field system. On this basis, the acquisition of multi-dimensional panoramic perception information in the power distribution network is realized by using panoramic perception technology. Based on the acquired multi-dimensional panoramic perception information, a panoramic image is generated, and the generated panoramic image and a preset panoramic image are further used to control the power distribution of the power distribution network. Therefore, the technical scheme effectively combines the electric field system and the panoramic perception technology, and applies them to the power distribution network, realizes the intelligent management and remote control of the power distribution network, and meets the demand of modern smart grid for efficient and reliable operation of the power distribution system.

Description

Technical Field

[0001] This disclosure relates to the field of power technology, and more specifically, to a panoramic perception and control method, system, and integrated distribution box based on the Internet of Things system. Background Technology

[0002] With the intelligent development of power systems, the power distribution link, as an important part of power transmission, faces problems such as complex equipment management, large data transmission interference, and complex operating environment.

[0003] Traditional power distribution systems have significant shortcomings in terms of equipment interconnection and intelligent management. For example, existing distribution boxes are mostly passively managed, unable to sense equipment status and environmental changes in real time, making it difficult to meet the requirements of modern smart grids for efficient, reliable, and safe operation. Summary of the Invention

[0004] The purpose of this disclosure is to provide a panoramic perception and control method, system, and integrated distribution box based on the Dianhong IoT system. This panoramic perception and control method, system, and integrated distribution box based on the Dianhong IoT system can realize intelligent management and remote control of the power distribution network, meeting the needs of modern smart grids for efficient and reliable operation of the power distribution system.

[0005] To achieve the above objectives, in a first aspect, this disclosure provides a panoramic perception and control method based on the Dianhong IoT system, comprising: acquiring panoramic perception information of a target distribution box, panoramic perception information of a target power distribution line, and panoramic perception information of a target power equipment; generating a target panoramic image based on the panoramic perception information of the target distribution box, the target power distribution line, and the target power equipment; acquiring a preset panoramic image, wherein the preset panoramic image is a panoramic image generated based on the preset panoramic perception information of the distribution box, the preset panoramic perception information of the power distribution line, and the preset panoramic perception information of the power equipment; and controlling the distribution box to distribute power to the power equipment through the power distribution line based on the preset panoramic image and the target panoramic image, wherein the distribution box, the power distribution line, and the power equipment are interconnected through the Dianhong IoT system.

[0006] Optionally, the panoramic perception information of the target distribution box includes: a distribution box image and first environmental perception information; the panoramic perception information of the target power distribution line includes: a power distribution line image and second environmental perception information; the panoramic perception information of the target power equipment includes: a power equipment image and third environmental perception information; generating a target panoramic image based on the panoramic perception information of the target distribution box, the panoramic perception information of the target power distribution line, and the panoramic perception information of the target power equipment includes: generating an initial panoramic image of the distribution box based on the distribution box image; generating an initial panoramic image of the power distribution line based on the power distribution line image; generating an initial panoramic image of the power equipment based on the power equipment image; and generating a target panoramic image based on the first environmental perception information, the second environmental perception information, the third environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment.

[0007] Optionally, generating a target panoramic image based on the first environmental perception information, the second environmental perception information, the third environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment includes: generating a first target panoramic image based on the first environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment; generating a second target panoramic image based on the second environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment; generating a third target panoramic image based on the third environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment; and determining a final target panoramic image based on the first target panoramic image, the second target panoramic image, and the third target panoramic image.

[0008] Optionally, the panoramic perception control method further includes: acquiring preset panoramic perception information of a distribution box, preset panoramic perception information of a power distribution line, and preset panoramic perception information of power equipment. The preset panoramic perception information of the distribution box includes a preset distribution box image and first preset environmental perception information; the preset panoramic perception information of the power distribution line includes a preset power distribution line image and second preset environmental perception information; and the preset panoramic perception information of the power equipment includes a preset power equipment image and third preset environmental perception information. The method also includes generating a preset panoramic image of the distribution box based on the preset distribution box image; generating a preset panoramic image of the power distribution line based on the preset power distribution line image; generating a preset panoramic image of the power equipment based on the preset power equipment image; and generating the preset panoramic image based on the first preset environmental perception information, the second preset environmental perception information, the third preset environmental perception information, the preset panoramic image of the distribution box, the preset panoramic image of the power distribution line, and the preset panoramic image of the power equipment.

[0009] Optionally, controlling the distribution box to distribute power to the electrical equipment via the distribution line based on the preset panoramic image and the target panoramic image includes: acquiring preset power distribution information corresponding to the preset panoramic image; determining first prediction information for characterizing the power distribution effect based on the preset panoramic image and the preset power distribution information using a pre-trained power distribution prediction model; transforming the preset power distribution information based on the preset panoramic image and the target panoramic image to obtain multiple candidate power distribution information; determining second prediction information for characterizing the power distribution effect based on the target panoramic image and the multiple candidate power distribution information using the pre-trained power distribution prediction model; determining target power distribution information from the multiple candidate power distribution information based on the first prediction information and the second prediction information; and controlling the distribution box to distribute power to the electrical equipment via the distribution line based on the target power distribution information.

[0010] Optionally, the preset power distribution information includes: power distribution parameters of the distribution box, transmission parameters of the power distribution line, and power consumption parameters of the power equipment; the step of transforming the preset power distribution information according to the preset panoramic image and the target panoramic image to obtain multiple candidate power distribution information includes: extracting image features from the preset panoramic image to obtain a first image feature related to the distribution box, a second image feature related to the power distribution line, a third image feature related to the power equipment, and a fourth image feature related to power distribution interaction; and extracting image features from the target panoramic image to obtain a fifth image feature related to the distribution box, a third image feature related to the power distribution line, and a fourth image feature related to power distribution interaction. The system uses a sixth image feature, a seventh image feature related to power equipment, and an eighth image feature related to power distribution interaction. Based on the first image feature, the second image feature, the third image feature, the fifth image feature, the sixth image feature, and the seventh image feature, the preset power distribution information is transformed to obtain multiple first candidate power distribution information. Based on the fourth image feature and the eighth image feature, the preset power distribution information is transformed to obtain multiple second candidate power distribution information. Based on the multiple first candidate power distribution information and the multiple second candidate power distribution information, the final multiple candidate power distribution information is obtained.

[0011] Optionally, the panoramic perception control method further includes: acquiring a training dataset, the training dataset including multiple training samples, each training sample including a sample panoramic image, power distribution information corresponding to the sample panoramic image, and a prediction label corresponding to the sample panoramic image, wherein the sample panoramic image includes at least one object among the distribution box, the power distribution line, and the power equipment, the power distribution information corresponding to the sample panoramic image is determined based on the object related to the sample panoramic image, and the prediction label is used to characterize the power distribution effect; training the power distribution prediction model to be trained based on the training dataset to obtain the pre-trained power distribution prediction model.

[0012] Optionally, the panoramic perception control method further includes: acquiring distribution box operation information; generating a panoramic image of the distribution box monitoring based on the panoramic perception information of the target distribution box; determining the probability of an anomaly of the distribution box based on the panoramic image of the distribution box monitoring and the distribution box operation information; updating the preset panoramic image based on the probability of an anomaly of the distribution box, generating early warning information based on the probability of an anomaly of the distribution box, and sending the early warning information to the distribution box monitoring terminal.

[0013] Secondly, this disclosure provides an integrated distribution box based on the Dianhong IoT system, comprising: a sensing unit configured to collect panoramic sensing information of the distribution box; a Dianhong IoT system connected to the sensing unit and configured to be integrated with power distribution lines and power equipment; and a control unit connected to the sensing unit and the Dianhong IoT system respectively and configured to execute the panoramic sensing control method based on the Dianhong IoT system as described in the first aspect.

[0014] Thirdly, this disclosure provides a panoramic perception and control system based on the Dianhong IoT system, including: a comprehensive distribution box as described in the second aspect; a power distribution line system, including: power distribution lines and corresponding perception information acquisition devices for the power distribution lines; and a power equipment system, including: power equipment and corresponding perception information acquisition devices for the power equipment.

[0015] The above technical solution integrates the Dianhong IoT system into the power distribution network, enabling distribution boxes, power lines, and electrical equipment to be interconnected through the Dianhong IoT system. Based on this, panoramic sensing technology is used to acquire multi-dimensional panoramic sensing information from the power distribution network. Based on the acquired multi-dimensional panoramic sensing information, panoramic images are generated. Furthermore, the generated panoramic images and preset panoramic images are used to control the power distribution network. Thus, this technical solution effectively combines the Dianhong IoT system and panoramic sensing technology, applying them to the power distribution network to achieve intelligent management and remote control of the network, meeting the demands of modern smart grids for efficient and reliable operation of the power distribution system.

[0016] Other features and advantages of this disclosure will be described in detail in the following detailed description section. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the following detailed description to explain the present disclosure, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a structural block diagram of a panoramic perception and control system based on an exemplary embodiment of an Internet of Things system.

[0018] Figure 2 This is a structural block diagram of an integrated power distribution box based on an exemplary embodiment of an Internet of Things system.

[0019] Figure 3 This is a flowchart illustrating a panoramic perception and control method based on an exemplary embodiment of an IoT system.

[0020] Figure 4 This is a block diagram illustrating a panoramic sensing and control device based on an exemplary embodiment of an Internet of Things (IoT) system.

[0021] Figure 5 This is a block diagram illustrating an electronic device according to an exemplary embodiment. Detailed Implementation

[0022] The specific embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit this disclosure.

[0023] With the intelligent development of power systems, the power distribution link, as an important part of power transmission, faces problems such as complex equipment management, large data transmission interference, and complex operating environment.

[0024] Traditional power distribution systems have significant shortcomings in terms of equipment interconnection and intelligent management. For example, existing distribution boxes are mostly passively managed, unable to sense equipment status and environmental changes in real time, making it difficult to meet the requirements of modern smart grids for efficient, reliable, and safe operation.

[0025] In recent years, the application of panoramic sensing technology in power systems has gradually attracted attention. Panoramic sensing, through multi-dimensional data collection and intelligent analysis, can achieve comprehensive monitoring of the operating status of power equipment and provide early warning of faults. However, current technologies lack a solution for deeply integrating panoramic sensing technology with distribution boxes, especially in complex operating environments. How to achieve intelligent management and remote control of equipment remains a pressing issue.

[0026] Furthermore, as an emerging operating system for the power IoT, the Dianhong IoT system has demonstrated powerful device interconnection and intelligent management capabilities in scenarios such as substations. Through soft bus technology, the system achieves automatic device discovery, connection, and unified management, significantly improving the intelligence level of the power system. However, the application of the Dianhong IoT system in the distribution box field is still in its early stages, and its potential in panoramic perception and intelligent control has not yet been fully realized.

[0027] Therefore, there is a lack of existing technologies for a distribution box solution that can combine the Dianhong IoT system and panoramic sensing technology to achieve intelligent management and remote control of the power distribution network and meet the needs of modern smart grids for efficient and reliable operation of the power distribution system.

[0028] Based on this, this disclosure provides a technical solution that integrates the Dianhong IoT system into a power distribution network, enabling distribution boxes, power lines, and power equipment to be interconnected through the Dianhong IoT system. Building upon this, panoramic sensing technology is used to acquire multi-dimensional panoramic sensing information within the power distribution network. Based on the acquired multi-dimensional panoramic sensing information, a panoramic image is generated. Furthermore, the generated panoramic image and a preset panoramic image are used to perform power distribution control on the power distribution network.

[0029] Thus, this technical solution effectively combines the Dianhong IoT system and panoramic sensing technology, and applies them to the power distribution network to realize intelligent management and remote control of the power distribution network, meeting the needs of modern smart grids for efficient and reliable operation of the power distribution system.

[0030] Figure 1 This is a structural block diagram of a panoramic perception and control system based on an exemplary embodiment of an IoT system, such as... Figure 1 As shown, the system includes: a comprehensive distribution box, a power distribution line system, and a power equipment system.

[0031] The power distribution line system includes power distribution lines and corresponding sensing information acquisition equipment. The power equipment system includes power equipment and corresponding sensing information acquisition equipment.

[0032] In some embodiments, the integrated distribution box can be a new type of intelligent distribution box, which is equipped with a sensing information acquisition device, which is part of the distribution box.

[0033] In some embodiments, the power distribution line may be a line connecting the integrated distribution box and the power equipment, which is used to distribute power from the integrated distribution box to the power equipment.

[0034] In some embodiments, the power equipment can be equipment based on power distribution needs, such as various electrical appliances.

[0035] In some embodiments, the integrated distribution box may be equipped with the Dianhong IoT system, which can realize the integration of the integrated distribution box, power lines and power equipment.

[0036] The Dianhong IoT System is the first domestic power IoT operating system developed by China Southern Power Grid Company based on open-source HarmonyOS and open-source Euler. It aims to provide a unified IoT solution for the power industry and can be understood as an IoT communication and operating system.

[0037] The core features of the Dianhong IoT system include: Unified system and flexible assembly: A single system covers power equipment of different brands, types, and memory sizes, enabling plug-and-play functionality. Unified standards: Standardized device interfaces and data protocols break down information silos and enable data interoperability between devices. Internet of Everything: Through distributed soft bus technology, it achieves various modes such as human-machine interaction and machine-to-machine interaction. Safe and reliable: Employing technologies such as software package signature management and device startup security verification, it ensures the safe operation of the power IoT.

[0038] Therefore, by installing the Dianhong IoT system in the integrated distribution box, power distribution management can be easily achieved.

[0039] Figure 2This is a structural block diagram of an integrated power distribution box based on an exemplary embodiment of an IoT system, as shown below. Figure 2 As shown, the integrated distribution box includes: a sensing unit configured to collect panoramic sensing information of the distribution box; an E-Hong IoT system connected to the sensing unit and configured to be integrated with the power distribution lines and power equipment; and a control unit connected to the sensing unit and the E-Hong IoT system respectively.

[0040] In some embodiments, the sensing unit may be part of the Dianhong IoT system or a part independent of the Dianhong IoT system.

[0041] In some embodiments, the control unit can realize panoramic perception control based on the perception information collected by the perception unit and the perception information obtained by the Dianhong IoT system from the power equipment and power distribution lines. Specifically, it can realize power distribution control.

[0042] The panoramic sensing device or panoramic sensing unit in this embodiment may include an image acquisition device and an environmental information acquisition device. The image acquisition device can acquire images, and the environmental information acquisition device can acquire environmental information. The acquired images and environmental information can constitute panoramic sensing information, thereby generating a panoramic image.

[0043] For specific implementation methods of the aforementioned sensing devices or sensing units, please refer to mature technologies in this field, which will not be described in detail here.

[0044] In some embodiments, the panoramic perception system can also be regarded as a control system for a power distribution network. The integrated distribution box, power equipment and power distribution lines can be regarded as a power distribution network.

[0045] Figure 3 This is a flowchart illustrating a panoramic perception and control method based on an exemplary embodiment of an IoT system. This method can be applied to… Figure 1 The system shown can be specifically applied to, for example... Figure 2 The integrated power distribution box shown. (As shown) Figure 3 As shown, the method includes the following steps: Step S31: Obtain panoramic perception information of the target distribution box, panoramic perception information of the target power distribution line, and panoramic perception information of the target power equipment.

[0046] Step S32: Generate a panoramic image of the target based on the panoramic perception information of the target distribution box, the panoramic perception information of the target power distribution line, and the panoramic perception information of the target power equipment.

[0047] Step S33: Obtain a preset panoramic image. The preset panoramic image is a panoramic image generated based on the preset panoramic perception information of the distribution box, the preset panoramic perception information of the power distribution line, and the preset panoramic perception information of the power equipment.

[0048] Step S34: Based on the preset panoramic image and the target panoramic image, control the distribution box to distribute power to the electrical equipment through the power distribution line.

[0049] In step S31, the panoramic perception information of the target distribution box, the target power distribution line, and the target power equipment can be panoramic perception information within the current control cycle. The length of the control cycle can be configured according to requirements.

[0050] For example, if the control cycle is one hour, the panoramic perception information in step S21 can be panoramic perception information at one or more moments within one hour. Through this panoramic perception information, the situation of the power distribution network within the control cycle can be analyzed for power distribution control.

[0051] Based on the foregoing description of the perception component, as an optional implementation, the panoramic perception information of the target distribution box includes: an image of the distribution box and first environmental perception information; the panoramic perception information of the target power distribution line includes: an image of the power distribution line and second environmental perception information; and the panoramic perception information of the target power equipment includes: an image of the power equipment and third environmental perception information.

[0052] In this implementation, each type of panoramic perception information involves both image and environmental perception information. Environmental perception information may include weather, temperature, humidity, and other data.

[0053] In step S32, a target panoramic image can be generated based on the panoramic perception information of the target distribution box, the panoramic perception information of the target power distribution line, and the panoramic perception information of the target power equipment.

[0054] In some embodiments, the target panoramic image may be an overall panoramic image corresponding to a power distribution network constructed from distribution boxes, power lines and power equipment.

[0055] As an optional implementation, step S32 includes: generating an initial panoramic image of the distribution box based on the distribution box image; generating an initial panoramic image of the distribution line based on the distribution line image; generating an initial panoramic image of the power equipment based on the power equipment image; and generating a target panoramic image based on the first environmental perception information, the second environmental perception information, the third environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the distribution line, and the initial panoramic image of the power equipment.

[0056] In this implementation, initial panoramic images can be generated first based on the images, and then the panoramic images can be processed based on environmental perception information to obtain the final panoramic image. That is, a panoramic image synthesis technique commonly used in the art.

[0057] The initial panoramic images of the distribution box, the initial panoramic images of the power distribution lines, and the initial panoramic images of the power equipment may belong to different environments, such as situations where the distribution box, power distribution lines, and power equipment are far apart.

[0058] Therefore, different approaches can be used when combining various initial panoramic images and environmental perception information to generate a target panoramic image.

[0059] As an optional implementation, generating a target panoramic image based on first environmental perception information, second environmental perception information, third environmental perception information, an initial panoramic image of the distribution box, an initial panoramic image of the power distribution line, and an initial panoramic image of the power equipment includes: generating a target panoramic image of the distribution box based on the first environmental perception information and the initial panoramic image of the distribution box; generating a target panoramic image of the power distribution line based on the second environmental perception information and the initial panoramic image of the power distribution line; generating a target panoramic image of the power distribution line based on the third environmental perception information and the initial panoramic image of the power equipment; and stitching together the target panoramic image of the distribution box, the target panoramic image of the power distribution line, and the target panoramic image of the power distribution line to obtain the target panoramic image.

[0060] The implementation method for generating panoramic images based on various initial panoramic images and environmental perception information can refer to mature technologies in this field, and will not be described in detail here.

[0061] In some embodiments, when stitching together the panoramic image of the target distribution box, the panoramic image of the target power distribution line, and the panoramic image of the target power distribution line, the stitching can be performed based on the pre-configured location information of the distribution box, power distribution line, and power equipment, as well as supplementary elements of the panoramic image.

[0062] Among them, the panoramic image supplementary elements can be some panoramic image elements involved in the real environment of the distribution box, power distribution line and power equipment. For example, there may be building elements between the distribution box and the power distribution line, and there may also be building elements between the power distribution line and the power equipment.

[0063] Furthermore, based on the location information of the distribution boxes, power lines, and power equipment, the distances between the distribution boxes, power lines, and power equipment can be determined, and the panoramic image supplementary elements to be added can be selected according to the distances between them.

[0064] For example, the greater the distance, the more panoramic image supplementary elements need to be added, and the more diverse the types of elements need to be.

[0065] Furthermore, a stitched image can be generated by supplementing elements from the panoramic image, and then stitched together in the following order: panoramic image of the distribution box, stitched image, panoramic image of the power distribution network, stitched image, and panoramic image of the power equipment, to obtain the target panoramic image.

[0066] As an optional implementation, generating a target panoramic image based on first environmental perception information, second environmental perception information, third environmental perception information, an initial panoramic image of the distribution box, an initial panoramic image of the power distribution line, and an initial panoramic image of the power equipment includes: generating a first target panoramic image based on the first environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment; generating a second target panoramic image based on the second environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment; generating a third target panoramic image based on the third environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment; and determining the final target panoramic image based on the first target panoramic image, the second target panoramic image, and the third target panoramic image.

[0067] In this implementation, three initial panoramic images can be stitched together based on three types of environmental perception information, and finally, the target panoramic image can be obtained based on the panoramic images corresponding to the three types of environmental perception information.

[0068] In some embodiments, taking the first target panoramic image as an example, first environmental perception information can be added to the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment to obtain three processed panoramic images. Then, the three panoramic images are stitched together according to the stitching method of the three panoramic images described in the aforementioned embodiments to obtain the final panoramic image.

[0069] It is understood that the methods for acquiring the second and third target panoramic images can refer to the implementation method of the first target panoramic image.

[0070] Furthermore, the first target panoramic image, the second target panoramic image, and the third target panoramic image can be panoramic information corresponding to different environmental perception information.

[0071] Furthermore, the panoramic images of the first, second, and third targets can be compared in terms of image feature richness, and the panoramic image with the highest image feature richness can be used as the final target panoramic image. Image feature richness can be determined by factors such as the complexity and diversity of image features; higher complexity and diversity result in higher richness.

[0072] That is, the target panoramic image that covers more useful image features is used as the final target panoramic image.

[0073] Furthermore, the target panoramic image can be understood as an overall panoramic image of a power distribution network. Moreover, the acquisition method of this overall panoramic image is relatively simple and does not require the deployment of many sensing devices.

[0074] In step S33, the preset panoramic image is a panoramic image generated based on the preset panoramic perception information of the distribution box, the preset panoramic perception information of the power distribution line, and the preset panoramic perception information of the power equipment.

[0075] Among them, the preset panoramic perception information of the distribution box, the preset panoramic perception information of the power distribution line, and the preset panoramic perception information of the power equipment can be panoramic perception information collected offline. Moreover, the panoramic perception information collected offline is a kind of perception information that conforms to the optimal operation of the power distribution network, and it can be used as a reference for the optimal perception information.

[0076] In some embodiments, the method for generating the preset panoramic image may be the same as the method for generating the target panoramic image, but the corresponding panoramic perception information may be different, which may result in differences between the preset panoramic image and the target panoramic image.

[0077] Therefore, as an optional implementation, the method further includes: acquiring preset panoramic perception information of a distribution box, preset panoramic perception information of a power distribution line, and preset panoramic perception information of power equipment. The preset panoramic perception information of the distribution box includes: a preset distribution box image and first preset environmental perception information; the preset panoramic perception information of the power distribution line includes: a preset power distribution line image and second preset environmental perception information; the preset panoramic perception information of the power equipment includes: a preset power equipment image and third preset environmental perception information; generating a preset panoramic image of the distribution box based on the preset distribution box image; generating a preset panoramic image of the power distribution line based on the preset power distribution line image; generating a preset panoramic image of the power equipment based on the preset power equipment image; and generating a preset panoramic image based on the first preset environmental perception information, the second preset environmental perception information, the third preset environmental perception information, the preset panoramic image of the distribution box, the preset panoramic image of the power distribution line, and the preset panoramic image of the power equipment.

[0078] It is understood that the specific implementation methods can be referred to the foregoing embodiments, and will not be repeated here.

[0079] In step S34, based on the preset panoramic image and the target panoramic image, the distribution box is controlled to distribute power to the electrical equipment through the power distribution line.

[0080] As an optional implementation, step S34 includes: acquiring preset power distribution information corresponding to a preset panoramic image; determining first prediction information for characterizing the power distribution effect based on the preset panoramic image and the preset power distribution information using a pre-trained power distribution prediction model; transforming the preset power distribution information based on the preset panoramic image and the target panoramic image to obtain multiple candidate power distribution information; determining second prediction information for characterizing the power distribution effect based on the target panoramic image and the multiple candidate power distribution information using a pre-trained power distribution prediction model; determining the target power distribution information from the multiple candidate power distribution information based on the first prediction information and the second prediction information; and controlling the distribution box to distribute power to the power equipment through the power distribution line based on the target power distribution information.

[0081] In this implementation, the preset panoramic image is configured with power distribution information, which can be regarded as the power distribution information corresponding to the preset panoramic image, and can be used as a reference power distribution information.

[0082] In some embodiments, a pre-trained power distribution prediction model can be used to predict information characterizing the power distribution effect based on panoramic images and power distribution information.

[0083] Information about power distribution can include: power distribution parameters of distribution boxes, transmission parameters of power distribution lines, and power consumption parameters of electrical equipment.

[0084] Among them, the power distribution parameters of the distribution box may include: power distribution duration, power distribution, etc.; the power transmission parameters of the power distribution line may include: maximum transmission current, transmission efficiency, etc.; the power consumption parameters of the power equipment may include: power consumption duration, power consumption, etc., which are related to power demand.

[0085] Information that characterizes the effectiveness of power distribution can include power distribution efficiency, power distribution conversion rate, and power consumption rate.

[0086] In some embodiments, training the power distribution prediction model may include: acquiring a training dataset, which includes multiple training samples, each training sample including a sample panoramic image, power distribution information corresponding to the sample panoramic image, and a prediction label corresponding to the sample panoramic image, wherein the sample panoramic image includes at least one object among distribution boxes, power distribution lines, and power equipment, the power distribution information corresponding to the sample panoramic image is determined based on the object associated with the sample panoramic image, and the prediction label is used to characterize the power distribution effect; training the power distribution prediction model to be trained based on the training dataset to obtain a pre-trained power distribution prediction model.

[0087] In this implementation, the training samples can be data obtained based on real power distribution data. This may include panoramic images of at least one of the following objects: distribution boxes, power lines, and electrical equipment. It also includes power distribution information corresponding to these panoramic images and information characterizing the power distribution effect.

[0088] Information used to characterize power distribution effectiveness can be determined through offline testing or manually labeled.

[0089] Furthermore, the power distribution information is determined based on the objects associated with the sample panoramic image (i.e., the objects included in the sample panoramic image). In other words, the power distribution information includes information corresponding to the objects associated with the sample panoramic image. For example, if the only associated object is a distribution box, then the corresponding power distribution information is the distribution box's power distribution parameters.

[0090] Furthermore, by training the distribution prediction model to be trained using the training dataset, the resulting pre-trained distribution prediction model can predict information representing the distribution effect based on panoramic images and distribution information.

[0091] The power distribution prediction model can be a machine learning model such as a logistic regression model or a large model, and there are no restrictions here.

[0092] In some embodiments, preset power distribution information can be transformed based on preset panoramic images and target panoramic images to obtain a variety of candidate power distribution information.

[0093] As an optional implementation, based on a preset panoramic image and a target panoramic image, preset power distribution information is transformed to obtain multiple candidate power distribution information, including: extracting image features from the preset panoramic image to obtain a first image feature related to the distribution box, a second image feature related to the power distribution line, a third image feature related to the power equipment, and a fourth image feature related to power distribution interaction; extracting image features from the target panoramic image to obtain a fifth image feature related to the distribution box, a sixth image feature related to the power distribution line, a seventh image feature related to the power equipment, and an eighth image feature related to power distribution interaction; transforming the preset power distribution information based on the first, second, third, fifth, sixth, and seventh image features to obtain multiple first candidate power distribution information; transforming the preset power distribution information based on the fourth and eighth image features to obtain multiple second candidate power distribution information; and obtaining the final multiple candidate power distribution information based on the multiple first candidate power distribution information and the multiple second candidate power distribution information.

[0094] In this implementation, the image locations of the distribution box, the power distribution line, and the power equipment can be determined first from the panoramic image, and the corresponding image features can be extracted based on these image locations.

[0095] For example, the first image feature is the image feature extracted from the image location where the distribution box is located, the second image feature is the image feature extracted from the image location where the power distribution line is located, and the third image feature is the image feature extracted from the image location where the power equipment is located.

[0096] Furthermore, the fourth image feature can involve the image features extracted from the image locations of the distribution box, the power distribution line, and the power equipment. In other words, the image features corresponding to power distribution interactions are the positions between the corresponding object locations.

[0097] It is understandable that the extraction methods for the fifth to eighth image features can refer to the extraction methods for the first to fourth image features, and will not be repeated here.

[0098] In some embodiments, the preset power distribution information is transformed based on a first image feature, a second image feature, a third image feature, a fifth image feature, a sixth image feature, and a seventh image feature to obtain multiple first candidate power distribution information. This may include: determining the similarity between the first image feature and the fifth image feature, the similarity between the second image feature and the sixth image feature, and the similarity between the third image feature and the sixth image feature, respectively. Then, the preset power distribution information corresponding to the object with the corresponding similarity is transformed to obtain multiple first candidate power distribution information.

[0099] The transformation method can be pre-configured, such as reducing power distribution, reducing transmission efficiency, or reducing power consumption. As an example, the higher the similarity, the smaller the degree of transformation (e.g., a smaller reduction), and the lower the similarity, the greater the degree of transformation (e.g., a larger reduction).

[0100] In order to obtain multiple first-selection power distribution information, each transformation can be performed on only one type of power distribution information.

[0101] In some embodiments, transforming preset power distribution information based on fourth image features and eighth image features to obtain multiple second candidate power distribution information may include: determining the similarity between the fourth image features and the eighth image features, and transforming the power distribution information that affects power distribution interaction in the preset power distribution information based on the similarity.

[0102] In some embodiments, the distribution information affecting distribution interaction may include transmission efficiency, maximum transmission current, etc. To obtain multiple second candidate distribution information, each transformation may only target one type of distribution information.

[0103] In some embodiments, the higher the similarity, the greater the degree of change in the power distribution information affecting power distribution interaction in the preset power distribution information. Furthermore, the change method can be pre-configured, as described in the foregoing embodiments.

[0104] Furthermore, multiple first candidate power distribution information and multiple second candidate power distribution information can be deduplicated to obtain the final multiple candidate power distribution information.

[0105] In some embodiments, after obtaining multiple candidate power distribution information, the target panoramic image can be combined with each candidate power distribution information to obtain different combinations of target panoramic image and candidate power distribution information. Further, these different information combinations are input into a pre-trained power distribution prediction model to obtain multiple second prediction information characterizing the power distribution effect.

[0106] Furthermore, by comparing the first prediction information with various second prediction information, the candidate power distribution information corresponding to the prediction information with the highest similarity to the first prediction information can be determined as the target power distribution information.

[0107] Furthermore, power distribution operations can be performed according to the target power distribution information. For example, the distribution box outputs electrical energy according to the power distribution in the target power distribution information, the power distribution line transmits electrical energy according to the transmission efficiency in the target power distribution information, and the power equipment uses electrical energy according to the power consumption in the target power distribution information, etc.

[0108] Through the above implementation method, power distribution information adapted to the actual situation can be obtained by combining preset power distribution information with a target panoramic image. Furthermore, determining the power distribution information using this method is relatively simple, requiring only a transformation based on the preset power distribution information.

[0109] Furthermore, with the support of panoramic perception technology, it is possible not only to control the entire power distribution network to match various power distribution needs.

[0110] In some embodiments, the method may further include: acquiring distribution box operation information; generating a panoramic image of the distribution box monitoring based on the panoramic perception information of the target distribution box; determining the probability of an anomaly of the distribution box based on the panoramic image of the distribution box monitoring and the distribution box operation information; updating the preset panoramic image based on the probability of an anomaly of the distribution box, generating early warning information based on the probability of an anomaly of the distribution box, and sending the early warning information to the distribution box monitoring terminal.

[0111] In this implementation, a panoramic image of the distribution box can be generated by combining only the panoramic perception information of the distribution box. This panoramic image, along with the distribution box's operating information, can be used to determine if the distribution box is malfunctioning. If an malfunction occurs (e.g., the probability of malfunction is higher than a preset probability), an early warning can be issued. Furthermore, the preset panoramic image can be updated.

[0112] The updating of the preset panoramic image can be achieved manually, such as by manually uploading a new panoramic image. Alternatively, it can be achieved through image transformation, such as updating the portion of the preset panoramic image related to the distribution box based on the panoramic image monitored by the distribution box.

[0113] Furthermore, while updating the preset panoramic image, the preset power distribution information can also be updated simultaneously. This can be done manually or by updating the power distribution information related to the distribution box.

[0114] This implementation method allows changes in the power distribution box to be synchronized to a preset panoramic image, thus avoiding excessive subsequent power distribution deviations.

[0115] In some embodiments, the warning information may indicate that the distribution box is malfunctioning, so as to inform relevant personnel to take appropriate action.

[0116] Figure 4 This is a block diagram illustrating a panoramic sensing and control device 400 based on an exemplary embodiment of an Internet of Things (IoT) system. The device includes: The acquisition module 401 is used to acquire panoramic perception information of the target distribution box, panoramic perception information of the target power distribution line, and panoramic perception information of the target power equipment.

[0117] The generation module 402 is used to generate a target panoramic image based on the panoramic perception information of the target distribution box, the panoramic perception information of the target power distribution line, and the panoramic perception information of the target power equipment.

[0118] The acquisition module 401 is also used to acquire a preset panoramic image, which is a panoramic image generated based on preset panoramic perception information of a distribution box, preset panoramic perception information of a power distribution line, and preset panoramic perception information of power equipment.

[0119] The control module 403 is used to control the power distribution box to distribute power to the power equipment through the power distribution line according to the preset panoramic image and the target panoramic image, wherein the power distribution box, the power distribution line and the power equipment are connected through the Internet of Things system.

[0120] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0121] Figure 5 This is a block diagram illustrating an electronic device 500 according to an exemplary embodiment. For example... Figure 5 As shown, the electronic device 500 may include a processor 501 and a memory 502. The electronic device 500 may also include one or more of a multimedia component 503, an input / output (I / O) interface 504, and a communication component 505.

[0122] The processor 501 controls the overall operation of the electronic device 500 to complete all or part of the steps in the panoramic perception control method based on the Internet of Things system described above. The memory 502 stores various types of data to support the operation of the electronic device 500. This data may include, for example, instructions for any application or method operating on the electronic device 500, and application-related data such as contact data, sent and received messages, pictures, audio, video, etc. The memory 502 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. Multimedia component 503 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in memory 502 or transmitted via communication component 505. The audio component also includes at least one speaker for outputting audio signals. I / O interface 504 provides an interface between processor 501 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual or physical buttons. Communication component 505 is used for wired or wireless communication between the electronic device 500 and other devices. Wireless communication may include Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination thereof; therefore, the corresponding communication component 505 may include a Wi-Fi module, a Bluetooth module, or an NFC module.

[0123] In an exemplary embodiment, the electronic device 500 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the above-described panoramic perception and control method based on the Internet of Things system.

[0124] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided. When executed by a processor, these program instructions implement the steps of the panoramic perception and control method based on the Internet of Things (IoT) system described above. For example, the computer-readable storage medium may be the memory 502 including the program instructions, which may be executed by the processor 501 of the electronic device 500 to complete the panoramic perception and control method based on the IoT system described above.

[0125] In another exemplary embodiment, a computer program product is also provided, which includes a computer program executable by a processor, which, when executed by the processor, implements the above-described panoramic perception and control method based on the Internet of Things system.

[0126] The preferred embodiments of this disclosure have been described in detail above with reference to the accompanying drawings. However, this disclosure is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this disclosure, various simple modifications can be made to the technical solutions of this disclosure, and these simple modifications all fall within the protection scope of this disclosure.

[0127] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

[0128] Furthermore, various different embodiments of this disclosure can be combined in any way, as long as they do not violate the spirit of this disclosure, they should also be regarded as the content disclosed in this disclosure.

Claims

1. A panoramic perception and control method based on the Internet of Things system, characterized in that, include: Acquire panoramic perception information of the target distribution box, the target power distribution line, and the target power equipment; A target panoramic image is generated based on the panoramic perception information of the target distribution box, the panoramic perception information of the target power distribution line, and the panoramic perception information of the target power equipment. Obtain a preset panoramic image, which is a panoramic image generated based on preset panoramic perception information of a distribution box, preset panoramic perception information of a power distribution line, and preset panoramic perception information of power equipment. Based on the preset panoramic image and the target panoramic image, the power distribution box is controlled to distribute power to the power equipment through the power distribution line, wherein the power distribution box, the power distribution line and the power equipment are connected through the Dianhong Internet of Things system; The step of controlling the distribution box to distribute power to the electrical equipment through the power distribution line based on the preset panoramic image and the target panoramic image includes: Obtain the preset power distribution information corresponding to the preset panoramic image; Based on the preset panoramic image and the preset power distribution information, a first prediction information for characterizing the power distribution effect is determined using a pre-trained power distribution prediction model. Based on the preset panoramic image and the target panoramic image, the preset power distribution information is transformed to obtain a variety of candidate power distribution information; Based on the target panoramic image and the various candidate power distribution information, the pre-trained power distribution prediction model determines the second prediction information used to characterize the power distribution effect. Based on the first prediction information and the second prediction information, the target power distribution information is determined from the multiple candidate power distribution information. Based on the target power distribution information, control the distribution box to distribute power to the power equipment through the power distribution lines; The preset power distribution information includes: power distribution box parameters, power line transmission parameters, and power equipment consumption parameters; the preset power distribution information is transformed based on the preset panoramic image and the target panoramic image to obtain multiple candidate power distribution information, including: Image features are extracted from the preset panoramic image to obtain a first image feature related to the distribution box, a second image feature related to the power distribution line, a third image feature related to the power equipment, and a fourth image feature related to power distribution interaction. Image features are extracted from the target panoramic image to obtain the fifth image feature related to the distribution box, the sixth image feature related to the power distribution line, the seventh image feature related to the power equipment, and the eighth image feature related to power distribution interaction. Based on the first image feature, the second image feature, the third image feature, the fifth image feature, the sixth image feature, and the seventh image feature, the preset power distribution information is transformed to obtain multiple first candidate power distribution information. Based on the fourth image feature and the eighth image feature, the preset power distribution information is transformed to obtain a variety of second candidate power distribution information. Based on the multiple first candidate power distribution information and the multiple second candidate power distribution information, the final multiple candidate power distribution information is obtained.

2. The panoramic perception and control method according to claim 1, characterized in that, The panoramic perception information of the target distribution box includes: an image of the distribution box and first environmental perception information; the panoramic perception information of the target power distribution line includes: an image of the power distribution line and second environmental perception information; the panoramic perception information of the target power equipment includes: an image of the power equipment and third environmental perception information; generating a target panoramic image based on the panoramic perception information of the target distribution box, the target power distribution line, and the target power equipment includes: Based on the image of the distribution box, an initial panoramic image of the distribution box is generated; Based on the power distribution line image, an initial panoramic image of the power distribution line is generated; Based on the power equipment images, an initial panoramic image of the power equipment is generated; A target panoramic image is generated based on the first environmental perception information, the second environmental perception information, the third environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment.

3. The panoramic perception and control method according to claim 2, characterized in that, The step of generating a target panoramic image based on the first environmental perception information, the second environmental perception information, the third environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment includes: Based on the first environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment, a first target panoramic image is generated. Based on the second environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment, a second target panoramic image is generated. Based on the third environmental perception information, the initial panoramic image of the distribution box, the initial panoramic image of the power distribution line, and the initial panoramic image of the power equipment, a third target panoramic image is generated. The final target panoramic image is determined based on the first target panoramic image, the second target panoramic image, and the third target panoramic image.

4. The panoramic perception and control method according to claim 2, characterized in that, The panoramic perception and control method also includes: The system acquires panoramic perception information of preset distribution boxes, panoramic perception information of preset power distribution lines, and panoramic perception information of preset power equipment. The panoramic perception information of preset distribution boxes includes: a preset distribution box image and first preset environment perception information. The panoramic perception information of preset power distribution lines includes: a preset power distribution line image and second preset environment perception information. The panoramic perception information of preset power equipment includes: a preset power equipment image and third preset environment perception information. Generate a panoramic image of the preset distribution box based on the preset distribution box image; Generate a panoramic image of the preset power distribution line based on the preset power distribution line image; Generate a panoramic image of the preset power equipment based on the preset power equipment image; The preset panoramic image is generated based on the first preset environmental perception information, the second preset environmental perception information, the third preset environmental perception information, the preset panoramic image of the distribution box, the preset panoramic image of the power distribution line, and the preset panoramic image of the power equipment.

5. The panoramic perception and control method according to claim 1, characterized in that, The panoramic perception and control method further includes: Obtain a training dataset, which includes multiple training samples. Each training sample includes a sample panoramic image, power distribution information corresponding to the sample panoramic image, and a prediction label corresponding to the sample panoramic image. The sample panoramic image includes at least one object among the power distribution box, the power distribution line, and the power equipment. The power distribution information corresponding to the sample panoramic image is determined based on the object related to the sample panoramic image. The prediction label is used to characterize the power distribution effect. The distribution prediction model to be trained is trained based on the training dataset to obtain the pre-trained distribution prediction model.

6. The panoramic perception and control method according to claim 1, characterized in that, The panoramic perception and control method further includes: Obtain the operating information of the distribution box; Based on the panoramic perception information of the target distribution box, a panoramic image of the distribution box monitoring is generated; Based on the panoramic image of the distribution box and the operation information of the distribution box, the probability of abnormality of the distribution box is determined; Based on the probability of an anomaly in the distribution box, the preset panoramic image is updated, and an early warning message is generated based on the probability of an anomaly in the distribution box. The early warning message is then sent to the distribution box monitoring terminal.

7. A comprehensive power distribution box based on the Dianhong Internet of Things system, characterized in that, include: The sensing unit is configured to collect panoramic sensing information of the power distribution box; The Dianhong IoT system, connected to the sensing unit, is configured to be interconnected with power distribution lines and power equipment. The control unit, connected to the sensing unit and the Dianhong IoT system respectively, is configured to execute the panoramic sensing and control method based on the Dianhong IoT system as described in any one of claims 1 to 6.

8. A panoramic perception and control system based on the Internet of Things (IoT) system, characterized in that, include: The integrated power distribution box as described in claim 7; The power distribution line system includes: power distribution lines and sensing information acquisition devices corresponding to the power distribution lines; The power equipment system includes: power equipment and sensing information acquisition equipment corresponding to the power equipment.

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