Management method and system for heat transmission and distribution limited space operation

Abstract

The embodiment of the invention discloses a management method and system for heat transmission and distribution limited space operation. The safety can be improved. The method provided by the embodiment of the invention comprises the following steps: establishing wireless connection with an underground wireless router, wherein the underground wireless router is connected with a business server; when a worker carries out underground operation, an operation identifier is obtained; shooting the operation site in real time according to the operation identifier to obtain a video stream; acquiring an image frame of the video stream, and inputting the image frame into a pre-trained operation monitoring model to obtain a monitoring result, the operation monitoring model being used for detecting whether danger information exists in the image; when the monitoring result is represented to be abnormal, analyzing the monitoring result to obtain alarm content; generating alarm information according to the alarm content and the job identifier; and sending the alarm information and the image frame to a service server through the underground wireless router, so that the service server identifies the alarm personnel by using the image frame.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of safe construction technology, and in particular to a management method and system for heat transmission and distribution confined space operations. Background Art

[0002] In the heat transmission and distribution industry, a large number of inspections and construction are carried out in confined spaces such as pipelines. Accidents in confined spaces occur frequently, and there are often casualties such as suffocation and poisoning. How to ensure safe construction in confined spaces is an important industrial safety issue. The confined space operations in the heat transmission and distribution industry are affected by factors such as the uncertainty of the construction site and the depth of the well. The current network foundation of the construction environment is poor, and network configuration on the construction site is often required. At present, AI algorithms are used to analyze whether there are any illegal operations in the picture and whether there are dangerous situations such as falls, and relevant alarms are generated to facilitate the monitoring of the construction personnel's work specifications and safety.

[0003] In the current limited space operation system, each construction of the limited space operation needs to be bound to the camera equipment. The visual AI algorithm analysis is often carried out through fixed cameras and video forwarding equipment to obtain video, and the edge device or server is used to pull the video stream for analysis to achieve business continuity and relevant monitoring purposes. The above-mentioned AI vision solution in the limited space has the problem that the construction workload is large, the business system operation is complex, and the video quality is difficult to guarantee when the network transmission is poor, which causes the visual AI analysis results to be unguaranteed. Dangerous information cannot be identified as soon as possible, which is prone to safety problems. Summary of the invention

[0004] The embodiments of the present application provide a management method and system for heat transmission and distribution confined space operations, which can improve safety.

[0005] A first aspect of the embodiments of the present application provides a method for managing heat transmission and distribution limited space operations, including:

[0006] Establishing a wireless connection with an underground wireless router, wherein the underground wireless router is connected to a business server;

[0007] When the staff is working underground, they can obtain the work identification;

[0008] According to the operation identification, the operation site is photographed in real time to obtain a video stream;

[0009] Acquire image frames of the video stream, and input the image frames into a pre-trained operation monitoring model to obtain monitoring results, wherein the operation monitoring model is used to detect whether there is dangerous information in the image;

[0010] When the monitoring result is characterized as abnormal, analyzing the monitoring result to obtain alarm content;

[0011] Generate alarm information according to the alarm content and the operation identifier;

[0012] The alarm information and the image frame are sent to the business server through the underground wireless router, so that the business server uses the image frame to identify the alarm person.

[0013] Optionally, before establishing a wireless connection with an underground wireless router, the method further includes:

[0014] Building an initial model, wherein the initial job detection model is based on the YOLO target detection algorithm;

[0015] Replace the backbone network of the initial model with the RepVGG network;

[0016] The initial model is trained using the labeled image set, and after the initial model converges, a work monitoring model is obtained;

[0017] Deploy the job monitoring model locally.

[0018] Optionally, deploying the job monitoring model locally includes:

[0019] The job monitoring model is deployed locally through the PyTorch Mobile framework.

[0020] Optionally, before deploying the job monitoring model locally, the method further includes:

[0021] The operation monitoring model is lightweighted by removing one BN layer at a time.

[0022] Optionally, after sending the alarm information and the image frame to the business server through the underground wireless router, the method further includes:

[0023] Receive the alarm completion information sent by the business server through the underground wireless router, where the alarm completion information is generated after the server executes the alarm on the corresponding equipment according to the alarm personnel and the alarm information.

[0024] Optionally, acquiring the image frame of the video stream includes:

[0025] An image frame of the video stream is acquired once at a preset time interval.

[0026] A second aspect of the embodiment of the present application provides a management system for heat transmission and distribution limited space operations, including:

[0027] A connection unit, used to establish a wireless connection with an underground wireless router, wherein the underground wireless router is connected to a business server;

[0028] A first acquisition unit is used to acquire an operation identifier when a worker performs an underground operation;

[0029] A shooting unit, used to shoot the operation site in real time according to the operation identification to obtain a video stream;

[0030] A second acquisition unit is used to acquire image frames of the video stream and input the image frames into a pre-trained operation monitoring model to obtain monitoring results, wherein the operation monitoring model is used to detect whether there is dangerous information in the image;

[0031] An analysis unit, configured to analyze the monitoring result to obtain alarm content when the monitoring result is characterized as abnormal;

[0032] A generating unit, configured to generate alarm information according to the alarm content and the job identifier;

[0033] The sending unit is used to send the alarm information and the image frame to the business server through the underground wireless router, so that the business server can identify the alarm person by using the image frame.

[0034] Optionally, the management system further includes:

[0035] A construction unit, used to construct an initial model, wherein the initial job detection model is based on a YOLO target detection algorithm;

[0036] A replacement unit, used to replace the backbone network of the initial model with a RepVGG network;

[0037] A training unit, used to train the initial model using the labeled image set, and obtain a job monitoring model after the initial model converges;

[0038] A deployment unit is used to deploy the job monitoring model locally.

[0039] The optional deployment unit is specifically used for:

[0040] The job monitoring model is deployed locally through the PyTorch Mobile framework.

[0041] Optionally, the management system further includes:

[0042] The removal unit is used to perform lightweight processing on the operation monitoring model by removing one BN layer at a time.

[0043] Optionally, the management system further includes:

[0044] The receiving unit is used to receive the alarm completion information sent by the business server through the underground wireless router, and the alarm completion information is generated after the server executes the alarm on the corresponding equipment according to the alarm personnel and the alarm information.

[0045] Optionally, the second acquiring unit is used to:

[0046] An image frame of the video stream is acquired once at a preset time interval.

[0047] A third aspect of the embodiments of the present application provides a management system for heat transmission and distribution limited space operations, including:

[0048] Processor, memory, input-output unit, and bus;

[0049] The processor is connected to the memory, the input and output unit, and the bus;

[0050] A program is stored in the memory, and the processor calls the program to execute the method in the first aspect and any possible implementation manner of the first aspect.

[0051] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium, on which a program is stored. When the program is executed on a computer, the computer executes the method in the first aspect and any possible implementation of the first aspect.

[0052] A fifth aspect of the embodiments of the present application provides a limited space network architecture for heat transmission and distribution, including:

[0053] Business server, surface mobile terminal, underground mobile terminal, wellhead wireless router and underground wireless router;

[0054] The business server is connected to the mobile terminal on the well and the wireless router at the wellhead respectively;

[0055] The above-ground mobile terminal is used to publish and manage underground operations;

[0056] The wellhead wireless router is connected to the business server by wire or wirelessly;

[0057] The wellhead wireless router is wirelessly connected to the downhole wireless router;

[0058] The underground mobile terminal is wirelessly connected to the underground wireless router.

[0059] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0060] The method provided in the embodiment of the present application first obtains the image frames in the video stream after obtaining the video stream, and then inputs the image frames into a pre-trained operation monitoring model to obtain the monitoring results output by the operation monitoring model. If the monitoring result is characterized as abnormal, the monitoring result can be parsed to obtain the alarm content therein, and then the alarm information is generated according to the alarm content and the operation identifier, and then the alarm information and the corresponding image frame are sent to the underground wireless router, and then sent to the business server through the underground wireless router. The recognition of dangerous information in the image frame is carried out underground, and there is no need to transmit the image frame to the business server. Instead, only the recognition result needs to be sent to the business server. It can adapt to the situation of poor network environment, can identify dangerous information in time, and improve safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 This is a structural diagram of an embodiment of a heat transmission and distribution limited space network architecture in an embodiment of the present application;

[0062] Figure 2 A flow chart of an embodiment of a method for managing heat distribution limited space operations in an embodiment of the present application;

[0063] Figure 3 This is a structural schematic diagram of an embodiment of a management system for heat transmission and distribution limited space operations in an embodiment of the present application;

[0064] Figure 4 This is a structural diagram of another embodiment of a management system for heat transmission and distribution limited space operations in the embodiments of the present application. DETAILED DESCRIPTION

[0065] The embodiments of the present application provide a management method and system for heat transmission and distribution confined space operations, which are used to improve safety.

[0066] See also Figure 1 In the embodiments of the present application, one embodiment of the heat transmission and distribution limited space network architecture includes:

[0067] Business server 101, surface mobile terminal 102, underground mobile terminal 103, wellhead wireless router 104 and underground wireless router 105;

[0068] The business server 101 is connected to the mobile terminal 102 on the well and the wireless router 104 at the wellhead;

[0069] The mobile terminal 102 on the well is used to publish and manage the downhole operations;

[0070] The wellhead wireless router 104 is connected to the business server 101 by wire or wireless;

[0071] The wellhead wireless router 104 is wirelessly connected to the downhole wireless router 105;

[0072] The underground mobile terminal 103 is wirelessly connected to the underground wireless router 105 .

[0073] In this embodiment, the surface mobile terminal 102 is connected to the business server 101, the business server 101 is connected to the wellhead wireless router 104 by wire or wirelessly, the wellhead wireless router 104 is wirelessly connected to the downhole wireless router 105, and the downhole wireless router 105 is wirelessly connected to the downhole mobile terminal 103.

[0074] In this embodiment, in a downhole operation task, the mobile terminal 102 on the well publishes the downhole operation to the business server 101, and the business server 101 sends the downhole task to the corresponding downhole mobile terminal 103. After receiving the downhole task, the staff holding the downhole mobile terminal 103 enters the thermal inspection well to perform the operation. The downhole signal of the thermal inspection is poor, and the downhole mobile terminal 103 cannot directly connect to the business server 101. A wellhead wireless router 104 is deployed at the wellhead, and downhole wireless routers 105 are densely deployed downhole. The wellhead wireless router 104 is connected to the business server 101, and the wellhead wireless router 104 sends a hotspot signal for the downhole wireless router 105 to connect. The downhole wireless router 105 sends a hotspot signal. When the staff is downhole, they can connect the downhole mobile terminal 103 to the downhole wireless router 105 through the hotspot signal, and connect to the business server through the downhole wireless router 105 and the wellhead wireless router 104.

[0075] Management methods for confined space operations in heat transmission and distribution are applied to Figure 1 The underground mobile terminal of the heat distribution limited space network architecture in the embodiment shown in the figure can be found in Figure 2 In the embodiment of the present application, one embodiment of the management method of heat transmission and distribution limited space operation includes:

[0076] 201. Establish a wireless connection with an underground wireless router, and the underground wireless router is connected to a business server;

[0077] When the staff is working underground, the underground mobile terminal they hold will automatically connect to the underground wireless router wirelessly, and then connect to the business server through the Surprise Love wireless router. The underground wireless router will first connect to the wellhead wireless router, and then connect to the business server through the wellhead wireless router.

[0078] 202. When the staff is working underground, they obtain the working identification;

[0079] When the staff is working underground, the underground mobile terminal has already obtained the underground operation released by the aboveground mobile terminal in advance, and the underground mobile terminal can obtain the operation identification of the underground operation. Each underground operation has a different operation identification, and the operation identification is used to indicate different underground operations.

[0080] 203. Shoot the operation site in real time according to the operation identification to obtain a video stream;

[0081] When performing underground operations, the underground mobile terminal can take pictures of the operation site according to the operation identification, thereby generating a video stream.

[0082] 204. Obtain image frames of the video stream, and input the image frames into a pre-trained job monitoring model to obtain monitoring results;

[0083] After obtaining the video stream, the mobile terminal can extract image frames from the video stream, and then input the image frames into the pre-trained operation monitoring model to obtain the monitoring results output by the operation monitoring model. The operation monitoring model is a model based on a convolutional neural network, which is used to identify dangerous information in the input image. The input is an image, and the output is the monitoring result. The monitoring result includes two results: normal and abnormal. If the monitoring result is abnormal, the monitoring result also includes the alarm content.

[0084] 205. When the monitoring result is characterized as abnormal, the monitoring result is analyzed to obtain the alarm content;

[0085] When the monitoring results output by the operation monitoring model are characterized as abnormal, the underground mobile terminal can parse the monitoring results and then obtain the alarm content.

[0086] 206. Generate alarm information according to the alarm content and the operation identifier;

[0087] After obtaining the alarm content, the underground mobile terminal can combine the alarm content with the operation identifier and generate alarm information based on the two.

[0088] 207. Send alarm information and image frames to the business server via the underground wireless router.

[0089] After generating the alarm information, the underground mobile terminal can send the alarm information to the connected underground wireless router, and attach the image frame corresponding to the alarm information. The underground wireless router forwards the received alarm information and image frame to the business server. It should be noted that the alarm information and image frame are not packaged and sent together, but are sent separately. Because in the thermal transmission and distribution well environment, the network is generally poor. If the alarm information and the corresponding image frame are packaged and sent together, it may cause the receiver to receive the alarm information after a relatively high delay, and there is a greater possibility of errors in the transmission. After receiving the alarm information and the corresponding image frame, the business server can perform face recognition on the image frame to identify the alarm personnel, and then further process the alarm information. In addition, the business server can identify the dangerous information on the image frame again and review the alarm information. Because the performance of the underground mobile terminal is limited, the recognition result is not 100%, so it is necessary for a powerful business server to review it.

[0090] In this embodiment, after obtaining the video stream, the underground mobile terminal first obtains the image frame in the video stream, and then inputs the image frame into the pre-trained operation monitoring model to obtain the monitoring result output by the operation monitoring model. If the monitoring result is characterized as abnormal, the underground mobile terminal can parse the monitoring result to obtain the alarm content therein, and then generate alarm information based on the alarm content and the operation identifier, and then send the alarm information and the corresponding image frame to the underground wireless router, and then send it to the business server through the underground wireless router. The recognition of dangerous information in the image frame is performed in the underground mobile terminal. There is no need to transmit the image frame to the business server, but only need to send the recognition result to the business server. It can adapt to the situation of poor network environment, can timely identify dangerous information, and improve safety.

[0091] Optionally, in some embodiments of the present application, before establishing a wireless connection with the underground wireless router in step 201 in the above embodiment, the following steps may be further included:

[0092] Build the initial model. The initial job detection model is based on the YOLO target detection algorithm;

[0093] YOLO (You Only Look Once) is an efficient single-stage target detection algorithm that achieves fast and accurate target detection by dividing the image into grids and directly predicting the bounding box and category probability of each grid. First, we select a suitable YOLO version (such as YOLOv3, YOLOv4, or YOLOv5), download the corresponding pre-trained model and configuration file, initialize the model and load the pre-trained weights to build an initial operation detection model. This model will run on the underground mobile terminal to monitor the operation in real time.

[0094] Replace the backbone network of the initial model with the RepVGG network;

[0095] RepVGG is a convolutional neural network architecture with re-parameterization characteristics. It uses a simple VGG-style convolutional layer, uses a multi-branch structure in the training phase, and merges it into a single convolutional layer in the inference phase, thereby improving inference speed and performance. We replaced the backbone network in the YOLO model with RepVGG, ensuring that the output feature map size and number of channels of the new backbone are compatible with the YOLO head network, and adjusting the model configuration file to adapt to the new backbone. The replaced model will be inferred on the underground mobile terminal to provide more efficient operation detection.

[0096] The initial model is trained using the labeled image set. After the initial model converges, the operation monitoring model is obtained.

[0097] Prepare a complete annotated image dataset and divide it into a training set and a validation set. Configure training parameters (such as learning rate, batch size, optimizer, etc.) according to actual needs and start model training. During training, monitor the loss function and validation set accuracy, and adjust hyperparameters if necessary to optimize model performance. Training continues until the model converges, that is, the loss function is stable and the validation set accuracy is high, thus obtaining the final operation monitoring model. This model will be run on the underground mobile terminal to ensure the safety and efficiency of underground operations.

[0098] Deploy the job monitoring model locally.

[0099] First, ensure that the underground mobile terminal has installed the necessary software (such as Python, deep learning framework, etc.) and hardware support (such as GPU). Export the trained model weight file to the underground mobile terminal, write the inference script, and implement image input, model inference, and result output. Finally, test the accuracy and running speed of the deployed model to ensure that it meets actual needs and can run stably in the underground environment, thereby achieving real-time operation monitoring.

[0100] By building an initial model based on the YOLO algorithm, replacing its backbone network with RepVGG, and using a labeled image set for training until the model converges, the operation monitoring model is deployed on the underground mobile terminal. This can achieve efficient and accurate real-time underground operation monitoring, improve operation safety and production efficiency, and optimize the model reasoning speed to adapt to the actual needs of the underground environment.

[0101] Optionally, in some embodiments of the present application, the step of “deploying the job monitoring model locally” in the above embodiment may include the following steps:

[0102] The job monitoring model is deployed locally through the PyTorch Mobile framework.

[0103] By building an initial model based on the YOLO algorithm, replacing its backbone network with RepVGG, and using a labeled image set for training until the model converges, the operation monitoring model is deployed to the underground mobile terminal through the PyTorch Mobile framework. This can achieve efficient and accurate real-time underground operation monitoring, improve operation safety and production efficiency, and optimize the model reasoning speed to adapt to the actual needs of the underground environment.

[0104] Optionally, in some embodiments of the present application, before the step of "deploying the job monitoring model locally" in the above embodiment, the following steps may be further included:

[0105] The job monitoring model is lightweighted by removing one BN layer at a time.

[0106] By building an initial model based on the YOLO algorithm, replacing its backbone network with RepVGG, and using the labeled image set for training until the model converges, the operation monitoring model is lightweight by removing one BN layer at a time. Finally, the model is deployed to the underground mobile terminal through the PyTorch Mobile framework. This can achieve efficient, accurate and lightweight real-time underground operation monitoring, improve operation safety and production efficiency, and optimize the model reasoning speed to adapt to the actual needs of the underground environment.

[0107] Optionally, in some embodiments of the present application, after sending the alarm information and the image frame to the service server through the underground wireless router in step 207 in the above embodiment, the following steps may be further included:

[0108] The receiving business server sends the alarm completion information through the underground wireless router. The alarm completion information is generated after the server executes the alarm on the corresponding equipment according to the alarm personnel and the alarm information.

[0109] When the business server sends the alarm completion information through the underground wireless router, this step involves receiving and processing the alarm feedback information generated by the server. Specifically, these alarm completion information are generated by the server after receiving the report and alarm content of the alarm personnel and performing the alarm operation on the corresponding equipment. This information is transmitted to the underground mobile terminal through the underground wireless router. This mechanism ensures that the real-time monitoring and feedback of underground operations can be effectively communicated to the business server, so that the operation monitoring system can handle the alarm events in a timely manner, further improving the safety and response efficiency of underground operations.

[0110] Optionally, in some embodiments of the present application, obtaining the image frame of the video stream in step 204 in the above embodiment may include the following steps:

[0111] The image frame of the video stream is obtained every preset time.

[0112] Acquiring image frames of a video stream at preset intervals means that the system extracts image frames from a real-time video stream according to the set time interval. This process is to capture the images in the video stream at regular intervals so that the images can be processed and analyzed. In this way, data can be collected at fixed time points to facilitate subsequent image processing, target detection, and event monitoring. This strategy helps reduce the computational burden while ensuring that image data at critical moments is not missed, improving the real-time performance and efficiency of the system.

[0113] See also Figure 3 The management system for heat distribution limited space operation in the embodiment of the present application is equivalent to Figure 1 The underground mobile terminal in the embodiment shown, an embodiment of the management system for heat distribution limited space operation includes:

[0114] The connection unit 301 is used to establish a wireless connection with an underground wireless router, and the underground wireless router is connected to a business server;

[0115] The first acquisition unit 302 is used to acquire the operation identification when the staff performs underground operation;

[0116] The shooting unit 303 is used to shoot the operation site in real time according to the operation identification to obtain a video stream;

[0117] The second acquisition unit 304 is used to acquire image frames of the video stream and input the image frames into a pre-trained operation monitoring model to obtain monitoring results. The operation monitoring model is used to detect whether there is dangerous information in the image;

[0118] The parsing unit 305 is used to parse the monitoring result and obtain the alarm content when the monitoring result is characterized as abnormal;

[0119] A generating unit 306, configured to generate alarm information according to the alarm content and the job identifier;

[0120] The sending unit 307 is used to send the alarm information and the image frame to the business server through the underground wireless router, so that the business server can identify the alarm person by using the image frame.

[0121] In this embodiment, after the shooting unit 303 obtains the video stream, the second acquisition unit 304 first obtains the image frame in the video stream, and then inputs the image frame into the pre-trained operation monitoring model to obtain the monitoring result output by the operation monitoring model. If the monitoring result is characterized as abnormal, the parsing unit 305 can parse the monitoring result to obtain the alarm content therein, and then the generating unit 306 generates the alarm information according to the alarm content and the operation identification, and the sending unit 307 then sends the alarm information and the corresponding image frame to the underground wireless router, and then sends it to the business server through the underground wireless router. The recognition of dangerous information in the image frame is carried out in the underground mobile terminal. It is not necessary to transmit the image frame to the business server, but only needs to send the recognition result to the business server. It can adapt to the situation of poor network environment, can timely identify dangerous information, and improve safety.

[0122] Optionally, the management system also includes:

[0123] The construction unit is used to build the initial model. The initial job detection model is based on the YOLO target detection algorithm;

[0124] The replacement unit is used to replace the backbone network of the initial model with the RepVGG network;

[0125] A training unit is used to train the initial model using the labeled image set, and obtain the operation monitoring model after the initial model converges;

[0126] Deployment unit, used to deploy the job monitoring model locally.

[0127] The optional deployment units are specifically used for:

[0128] The job monitoring model is deployed locally through the PyTorch Mobile framework.

[0129] Optionally, the management system also includes:

[0130] The removal unit is used to perform lightweight processing on the job monitoring model by removing one BN layer at a time.

[0131] Optionally, the management system also includes:

[0132] The receiving unit is used to receive the alarm completion information sent by the business server through the underground wireless router. The alarm completion information is generated after the server executes the alarm on the corresponding equipment according to the alarm personnel and the alarm information.

[0133] Optionally, the second acquisition unit is used for:

[0134] The image frame of the video stream is obtained every preset time.

[0135] See also Figure 4 Another embodiment of the management system for heat distribution limited space operations in the embodiment of the present application includes:

[0136] Processor 401, memory 402, input and output unit 403 and bus 404;

[0137] The processor 401 is connected to the memory 402, the input and output unit 403 and the bus 404;

[0138] The memory 402 stores a program, and the processor 401 calls the program to execute Figure 2 Steps in the illustrated embodiment.

[0139] In this embodiment, the function of the processor 401 is the same as that of the aforementioned Figure 2 The steps in the illustrated embodiments correspond to each other and will not be described again here.

[0140] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0141] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, 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 an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0142] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0143] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0144] If the integrated unit is implemented in the form of 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 application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, read-only memory), random access memory (RAM, random access memory), disk or optical disk and other media that can store program code.

Claims

1. A management method for heat transmission and distribution limited space operations, characterized in that: include: Establishing a wireless connection with an underground wireless router, wherein the underground wireless router is connected to a business server; When the staff is working underground, they can obtain the work identification; According to the operation identification, the operation site is photographed in real time to obtain a video stream; Acquire image frames of the video stream, and input the image frames into a pre-trained operation monitoring model to obtain monitoring results, wherein the operation monitoring model is used to detect whether there is dangerous information in the image; When the monitoring result is characterized as abnormal, analyzing the monitoring result to obtain alarm content; Generate alarm information according to the alarm content and the operation identifier; The alarm information and the image frame are sent to the business server through the underground wireless router, so that the business server uses the image frame to identify the alarm person.

2. The method according to claim 1, characterized in that Before establishing a wireless connection with the underground wireless router, the method further includes: Building an initial model, wherein the initial job detection model is based on the YOLO target detection algorithm; Replace the backbone network of the initial model with the RepVGG network; The initial model is trained using the labeled image set, and after the initial model converges, a work monitoring model is obtained; Deploy the job monitoring model locally.

3. The method according to claim 2, characterized in that The deploying the job monitoring model locally includes: The job monitoring model is deployed locally through the PyTorch Mobile framework.

4. The method according to claim 2, characterized in that: Before deploying the job monitoring model locally, the method further includes: The operation monitoring model is lightweighted by removing one BN layer at a time.

5. The method according to any one of claims 1 to 4, characterized in that After sending the alarm information and the image frame to the service server through the underground wireless router, the method further includes: Receive the alarm completion information sent by the business server through the underground wireless router, where the alarm completion information is generated after the server executes the alarm on the corresponding equipment according to the alarm personnel and the alarm information.

6. The method according to any one of claims 1 to 4, characterized in that The acquiring of the image frame of the video stream comprises: An image frame of the video stream is acquired once at a preset time interval.

7. A management system for heat transmission and distribution limited space operations, characterized in that: include: A connection unit, used to establish a wireless connection with an underground wireless router, wherein the underground wireless router is connected to a business server; A first acquisition unit is used to acquire an operation identifier when a worker performs an underground operation; A shooting unit, used to shoot the operation site in real time according to the operation identification to obtain a video stream; A second acquisition unit is used to acquire image frames of the video stream and input the image frames into a pre-trained operation monitoring model to obtain monitoring results, wherein the operation monitoring model is used to detect whether there is dangerous information in the image; An analysis unit, configured to analyze the monitoring result to obtain alarm content when the monitoring result is characterized as abnormal; A generating unit, configured to generate alarm information according to the alarm content and the job identifier; The sending unit is used to send the alarm information and the image frame to the business server through the underground wireless router, so that the business server can identify the alarm person by using the image frame.

8. A management system for heat transmission and distribution limited space operations, characterized in that: include: Processor, memory, input-output unit, and bus; The processor is connected to the memory, the input and output unit, and the bus; A program is stored in the memory, and the processor calls the program to execute the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a program stored thereon, wherein when the program is executed on a computer, the computer is caused to execute the method according to any one of claims 1 to 6.

10. A heat transmission and distribution limited space network architecture, characterized in that: include: Business server, surface mobile terminal, underground mobile terminal, wellhead wireless router and underground wireless router; The business server is connected to the mobile terminal on the well and the wireless router at the wellhead respectively; The above-ground mobile terminal is used to publish and manage underground operations; The wellhead wireless router is connected to the business server by wire or wirelessly; The wellhead wireless router is wirelessly connected to the downhole wireless router; The underground mobile terminal is wirelessly connected to the underground wireless router.

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