Early warning method and system applied to gas pipeline vehicle-mounted inspection system

Abstract

The invention discloses an early warning method and system applied to a gas pipeline vehicle-mounted inspection system, and the method comprises the steps: firstly receiving first gas pipeline environment data sent by a vehicle-mounted inspection terminal, the data comprising a first gas pipeline environment image, position information and shooting time information; and then, first feature information is extracted from the first gas pipeline environment image, and when the feature information meets an early warning condition representing that third-party construction exists in the first position, early warning processing is carried out. When second gas pipeline environment data which is sent by the terminal and comprises a second gas pipeline environment image, position information and shooting time are received again, if newly extracted second feature information and the first feature information meet a similarity condition, the second feature information is extracted; and if the position information in the two data meets the geographical position condition and the shooting time information meets the shooting time condition, carrying out no early warning processing. According to the embodiment of the invention, by comprehensively analyzing the key information of the environmental data, the condition of repeated alarm can be accurately eliminated.

Description

Technical Field

[0001] The embodiments of the present application relate to but are not limited to the field of gas pipeline safety management, and in particular to an early warning method and system applied to a gas pipeline vehicle inspection system. Background Art

[0002] In the existing technology, the early warning system for construction activities around gas pipelines still faces the problem of how to effectively distinguish and handle duplicate alarms. In the gas pipeline monitoring system, alarms are usually based on the identification of construction activities, but the existing system often cannot accurately distinguish whether it is independent construction activities of different vehicles in different time periods, or continuous monitoring of the same construction activity, resulting in a large number of unnecessary duplicate alarms. Summary of the invention

[0003] The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

[0004] The embodiment of the present application provides an early warning method, which can effectively solve the problem of repeated early warnings for construction activities around gas pipelines and ensure the accuracy and timeliness of the early warnings.

[0005] In a first aspect, an embodiment of the present application provides an early warning method applied to a gas pipeline vehicle inspection system, wherein the gas pipeline vehicle inspection system includes a server and a plurality of vehicle inspection terminals, and the early warning method is applied to the server, and the method includes:

[0006] Receiving first gas pipeline environment data sent by the vehicle-mounted inspection terminal, the first gas pipeline environment data including a first gas pipeline environment image, first position information of the vehicle-mounted inspection terminal, and first shooting time information;

[0007] Extracting first feature information of the first gas pipeline environment image;

[0008] When the first characteristic information satisfies a warning condition indicating that a third party is constructing at the first location, performing a warning process;

[0009] receiving second gas pipeline environment data sent by the vehicle-mounted inspection terminal, wherein the second gas pipeline environment data includes a second gas pipeline environment image, second position information of the vehicle-mounted inspection terminal, and second shooting time information;

[0010] Extracting second feature information of the second gas pipeline environment image;

[0011] When it is determined that the second characteristic information and the first characteristic information meet the similarity condition, when the first location information and the second location information meet the geographical location condition, and the first shooting time information and the second shooting time information meet the shooting time condition, the second gas pipeline environment image is processed without warning.

[0012] In combination with the first aspect, in an embodiment of the present application, when the first gas pipeline environment image and the second gas pipeline environment image come from the same vehicle-mounted inspection terminal, the similarity condition characterizes that the similarity between the second feature information and the first feature information is greater than a preset similarity threshold, the geographic location condition characterizes that the first location information and the second location information are the same, and the shooting time condition characterizes that the first shooting time information and the second shooting time information are in a first time period.

[0013] In combination with the first aspect, in an embodiment of the present application, when the first gas pipeline environment image and the second gas pipeline environment image come from different vehicle-mounted inspection terminals, the similarity condition characterizes that the similarity between the second feature information and the first feature information is greater than a preset similarity threshold, the geographic location condition characterizes that the first location information and the second location information are the same, and the shooting time condition characterizes that the first shooting time information and the second shooting time information are in a second time period.

[0014] In combination with the first aspect, in an embodiment of the present application, the characteristics of the third-party construction include one or more of construction vehicles, construction materials, construction site fences, construction personnel, small construction sites, and construction signs.

[0015] In combination with the first aspect, in an embodiment of the present application, the first gas pipeline environmental data includes a first gas concentration parameter, and the second gas pipeline environmental data includes a second gas concentration parameter, and the first gas concentration parameter and the second gas concentration parameter are data detected by the vehicle-mounted inspection terminal through a laser telemetry module; the method also includes: when the first gas concentration parameter exceeds a preset concentration threshold, performing alarm processing; when it is determined that the first gas concentration parameter and the second gas concentration parameter meet the concentration difference condition, when the first location information and the second location information meet the geographical location condition, and the first shooting time information and the second shooting time information meet the shooting time condition, performing no alarm processing.

[0016] In combination with the first aspect, in an embodiment of the present application, when the first gas pipeline environmental data and the second gas pipeline environmental data come from the same vehicle-mounted inspection terminal, the concentration difference condition characterizes that the difference between the first gas concentration parameter and the second gas concentration parameter is less than a preset concentration difference threshold, the geographical location condition characterizes that the first location information and the second location information are the same, and the shooting time condition characterizes that the first shooting time information and the second shooting time information are in a third time period.

[0017] In combination with the first aspect, in an embodiment of the present application, when the first gas pipeline environmental data and the second gas pipeline environmental data come from the same vehicle-mounted inspection terminal, the concentration difference condition characterizes that the difference between the first gas concentration parameter and the second gas concentration parameter is less than a preset concentration difference threshold, the geographical location condition characterizes that the first location information and the second location information are the same, and the shooting time condition characterizes that the first shooting time information and the second shooting time information are in a fourth time period.

[0018] In a second aspect, an embodiment of the present application provides a gas pipeline vehicle-mounted inspection system, comprising a server and a plurality of vehicle-mounted inspection terminals, wherein the plurality of vehicle-mounted inspection terminals communicate with the server, wherein the vehicle-mounted inspection terminal comprises a laser telemetry device, an intelligent recognition module, a camera and a wireless communication module, the intelligent recognition module being used to identify the gas pipeline environment, the camera being used to collect image information of the gas pipeline environment, the laser telemetry device being used to detect the gas concentration of the gas pipeline environment, and the wireless communication module being used to communicate with the server; the vehicle-mounted inspection terminal sends first gas pipeline environment data and second gas pipeline environment data to the server, the first gas pipeline environment data comprising a first gas concentration parameter, a first gas pipeline environment image, first position information and first shooting time information of the vehicle-mounted inspection terminal, the second gas pipeline environment data comprising a second gas concentration parameter, a second gas pipeline environment image, second position information and second shooting time information of the vehicle-mounted inspection terminal; the server provides The first characteristic information and the first gas concentration parameter of the first gas pipeline environment image, and the second characteristic information and the second gas concentration parameter of the second gas pipeline environment image are obtained; when the first characteristic information meets the warning condition indicating that there is third-party construction at the first location, a warning process is performed; when it is determined that the second characteristic information and the first characteristic information meet the similarity condition, when the first location information and the second location information meet the geographical location condition, and the first shooting time information and the second shooting time information meet the shooting time condition, a non-warning process is performed on the second gas pipeline environment image; when the first gas concentration parameter exceeds a preset concentration threshold, an alarm process is performed; when it is determined that the first gas concentration parameter and the second gas concentration parameter meet the concentration difference condition, when the first location information and the second location information meet the geographical location condition, and the first shooting time information and the second shooting time information meet the shooting time condition, a non-alarm process is performed.

[0019] In combination with the second aspect, in one embodiment of the present application, the laser telemetry device includes a laser telemetry lens, a laser generating module, a signal processing module and a detector, wherein the laser generating module is used to project a laser beam onto the gas pipeline environment; the laser telemetry lens is used to focus the reflected laser beam onto the detector; the detector is used to convert the reflected laser beam into an electrical signal and transmit the electrical signal to the signal processing module; the signal processing module is used to calculate the gas concentration of the gas pipeline environment based on the electrical signal.

[0020] In combination with the second aspect, in an embodiment of the present application, the vehicle-mounted inspection terminal further includes a positioning module, and the positioning module is used to obtain location information of the vehicle-mounted inspection terminal.

[0021] The embodiment of the present application provides an early warning method for a gas pipeline vehicle inspection system, the system includes a server and a plurality of vehicle inspection terminals, and the early warning method is mainly implemented on the server side. The method first receives the first gas pipeline environment data sent by the vehicle inspection terminal, the data including the first gas pipeline environment image, the first location information of the terminal and the first shooting time information. Then, the system extracts the first feature information from the first gas pipeline environment image. Once the feature information meets the early warning condition, it indicates that there may be third-party construction activities at the location, and then performs early warning processing. When the system receives the second gas pipeline environment data containing the second gas pipeline environment image, the second location information and the second shooting time sent by the vehicle inspection terminal again, the feature information will be extracted again. In the case of determining that the newly extracted second feature information meets the similarity condition with the first feature information, and the first location information and the second location information meet the geographical location condition, the first shooting time information and the second location information meet the shooting time condition, the system will perform no early warning processing on the second gas pipeline environment image. This embodiment can accurately exclude the situation of repeated alarms by deeply integrating and analyzing the features, location and time information of the gas pipeline environment data, thereby effectively reducing unnecessary alarm interference. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a schematic diagram of the architecture of a gas pipeline vehicle inspection system provided in an embodiment of the present application;

[0023] Figure 2 is a flow chart of the early warning method provided in the embodiment of the present application;

[0024] Figure 3 It is a flowchart of an early warning method provided by a specific example of this application;

[0025] Figure 4 is a flowchart of an early warning method provided by another specific example of the present application;

[0026] Figure 5 is a structural diagram of a vehicle-mounted inspection terminal provided in an embodiment of the present application;

[0027] Figure 6 is a structural diagram of a rotating device provided in an embodiment of the present application;

[0028] Figure 7 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0030] It should be noted that, although the logical order is shown in the flowchart, in some cases, the steps shown or described can be performed in a different order from that in the flowchart. The terms "first", "second", etc. in the specification, claims and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the limiting conditions that can be implemented in this application, so they have no technical substantive significance. Any modification of the structure, change of the proportional relationship or adjustment of the size, without affecting the effects that can be produced by this application and the purposes that can be achieved, should still fall within the scope of the technical content disclosed in this application. At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of narration, and are not used to limit the scope of implementation of this application. The change or adjustment of the relative relationship should also be regarded as the scope of implementation of this application without substantial change of the technical content.

[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0032] In the field of gas pipeline safety monitoring, traditional methods often rely on manual inspections and regular testing, which is not only inefficient, but also prone to safety hazards not being discovered in time due to human negligence or environmental factors. With the development of related technologies, gas pipeline monitoring has gradually become intelligent and automated.

[0033] However, in the existing technology, the early warning system for construction activities around gas pipelines still faces some challenges. A key issue is how to effectively distinguish and handle duplicate alarms. In the gas pipeline monitoring system, alarms are usually based on the recognition of construction activities, but the existing system often cannot accurately distinguish whether it is independent construction activities of different vehicles in different time periods, or continuous monitoring of the same construction activity, resulting in a large number of unnecessary duplicate alarms. These duplicate alarms not only increase the workload of monitoring personnel, but may also cover up the real emergency events that need attention, reducing the effectiveness and reliability of the monitoring system. In addition, most of the existing early warning systems focus on feature extraction and judgment of images at a single moment, and lack consideration of the continuity of construction activities in time series. For example, when the same construction team performs multiple operations on the same area in adjacent time periods, the system may mistakenly regard these as multiple independent construction activities and repeatedly trigger early warnings, which is obviously unreasonable.

[0034] In view of this, the embodiment of the present application provides an early warning method and a gas pipeline vehicle inspection system applied to a gas pipeline vehicle inspection system, the system includes a server and a plurality of vehicle inspection terminals, and the early warning method is mainly implemented on the server side. The method first receives the first gas pipeline environment data sent by the vehicle inspection terminal, the data including the first gas pipeline environment image, the first location information of the terminal and the first shooting time information. Then, the system extracts the first feature information from the first gas pipeline environment image. Once the feature information meets the early warning condition, it indicates that there may be third-party construction activities at the location, and then performs early warning processing. When the system receives the second gas pipeline environment data including the second gas pipeline environment image, the second location information and the second shooting time sent by the vehicle inspection terminal again, the feature information will be extracted again. When it is determined that the newly extracted second feature information meets the similarity condition with the first feature information, and the first location information and the second location information meet the geographical location condition, the first shooting time information and the second location information meet the shooting time condition, the system will perform no early warning processing on the second gas pipeline environment image. This embodiment can accurately eliminate duplicate alarms by deeply integrating and analyzing the characteristics, location and time information of the gas pipeline environmental data, thereby effectively reducing unnecessary alarm interference.

[0035] The embodiments of the present application are further described below in conjunction with the accompanying drawings.

[0036] Reference Figure 1 , Figure 1 1 is a schematic diagram of a gas pipeline vehicle inspection system architecture provided by an embodiment of the present application. The system architecture includes multiple vehicle inspection terminals 101 and a server 102, and the vehicle inspection terminals 101 and the server 102 can be directly or indirectly connected through wired or wireless communication.

[0037] The server 102 can receive data information sent by the vehicle inspection terminal 101 in real time. The vehicle inspection terminal 101 can be easily installed inside various vehicles, such as engineering vehicles. The vehicle inspection terminal 101 can be connected to the cigarette lighter interface in the vehicle to achieve plug-and-play efficient deployment. Furthermore, the inspection terminal 101 can have a built-in data acquisition module, a wireless communication module, and a positioning module, so that it can collect gas pipeline environmental data, location information, and shooting time information during its inspection operation, and send this information to the server 102.

[0038] like Figure 1 As shown, in an application scenario, the vehicle inspection terminal 101 can obtain in real time the first gas pipeline environment data including the first gas pipeline environment image, the first position information and the first shooting time information, and the second gas pipeline environment data including the second gas pipeline environment image, the second position information and the second shooting time information, and send these gas pipeline environment data to the server 102. After receiving the first gas pipeline environment data sent by the vehicle inspection terminal, the server 102 can first extract the first feature information of the first gas pipeline environment image, and when the first feature information meets the warning condition that the first location has a third-party construction, perform warning processing. When the server 102 receives the second gas pipeline environment data sent by the vehicle inspection terminal 101 again, when it is determined that the extracted second feature information meets the similarity condition with the first feature information, that is, when it is determined that the second feature information is highly consistent with the first feature information, when the first position information and the second position information meet the geographical location condition (such as the geographical locations of the two are highly close), and the first shooting time information and the second shooting time information meet the shooting time condition (such as the shooting time interval between the two is extremely small), the second gas pipeline environment image is not processed without warning.

[0039] like Figure 2 As shown, Figure 2 1 is a flowchart of an early warning method for a gas pipeline vehicle inspection system provided by an embodiment of the present application. The gas pipeline vehicle inspection system is composed of a server and multiple vehicle inspection terminals, and the early warning method is mainly implemented on the server side. The early warning method includes but is not limited to steps 210 to 260.

[0040] Step 210: receiving first gas pipeline environment data sent by the vehicle-mounted inspection terminal, the first gas pipeline environment data including a first gas pipeline environment image, first location information and first shooting time information of the vehicle-mounted inspection terminal;

[0041] Step 220: extracting first feature information of the first gas pipeline environment image;

[0042] Step 230: When the first characteristic information satisfies the warning condition indicating that a third party is constructing at the first location, a warning process is performed;

[0043] Step 240: receiving second gas pipeline environment data sent by the vehicle-mounted inspection terminal, the second gas pipeline environment data including a second gas pipeline environment image, second position information of the vehicle-mounted inspection terminal, and second shooting time information;

[0044] Step 250: extracting second feature information of the second gas pipeline environment image;

[0045] Step 260: When it is determined that the second characteristic information and the first characteristic information meet the similarity condition, when the first location information and the second location information meet the geographical location condition, and the first shooting time information and the second shooting time information meet the shooting time condition, the second gas pipeline environment image is processed without warning.

[0046] Steps 210 to 260 are described in detail below.

[0047] In a feasible embodiment, the vehicle-mounted inspection terminal, as a vehicle-mounted device for gas pipeline inspection, can collect and send key data of the surrounding environment of the gas pipeline in real time and in all directions. For example, the vehicle-mounted inspection terminal can be installed inside a vehicle (such as an engineering vehicle, etc.) to support all-round data collection and real-time monitoring during the inspection process. During the execution of the inspection task, the vehicle-mounted inspection terminal can continuously shoot high-definition video and images, and accurately capture the environmental data of the gas pipeline and its surroundings.

[0048] In a feasible embodiment, when the vehicle-mounted inspection terminal recognizes that there is construction feature information in its monitoring area, it can capture the gas pipeline environment image in the area in real time. These images record in detail the appearance, logo, surrounding environment and any possible abnormal conditions of the gas pipeline in the construction site, providing an intuitive basis for subsequent safety assessment and problem diagnosis. In addition, the vehicle-mounted inspection terminal can also obtain the location information of the construction area in real time, including detailed geographical location information such as longitude and latitude coordinates, so as to accurately understand the specific location of the inspection point. In addition, the vehicle-mounted inspection terminal can also be equipped with a time recording function, which can automatically record and send the shooting time information, that is, the specific date and time of shooting the gas pipeline environment image, which is helpful to trace the inspection history and analyze the inspection frequency and efficiency. After successfully capturing the environmental image of the gas pipeline, the precise geographical location data and the corresponding time information, the vehicle-mounted inspection terminal can integrate these multiple information into a comprehensive gas pipeline environment data. Subsequently, the terminal will transmit this data packet to the server for more in-depth and detailed analysis and processing.

[0049] In a feasible embodiment, in the process of extracting the first characteristic information of the first gas pipeline environment image, the image can be preprocessed (including grayscale processing, filtering and denoising, etc.), and then the image recognition technology, such as deep learning algorithm (such as real-time target detection algorithm, etc.), is used to detect the target in the image and identify possible construction equipment, personnel or other construction-related features. Subsequently, the detected target is characterized and its shape, color, texture and other characteristic information is extracted. This characteristic information will be used for subsequent analysis and judgment.

[0050] In a feasible embodiment, the characteristics of third-party construction include engineering vehicles, construction materials, site fences, construction personnel, small construction sites, and construction signs. These elements can appear alone or in combination. Specifically, there are many types of engineering vehicles, including but not limited to transportation vehicles such as pickup trucks, ordinary trucks, and box trucks, as well as heavy construction equipment such as bulldozers, forklifts, cranes, road rollers, excavators, concrete trucks, pipe jacking machines, and drilling machines. Construction materials involve a variety of facilities used to ensure construction safety and guide traffic flow, such as construction fences, road cones, iron horse guardrails, crash buckets, ice cream buckets, plastic isolation piers, and construction warning signs. As the main body of construction activities, the safety clothing of construction personnel is also part of the construction feature information, such as wearing safety helmets and wearing specific clothing. Small construction sites include small excavation sites carefully surrounded by gas construction fences. Construction signs, such as eye-catching "construction" warning signs and other types of warning signs, play an important role in informing and warning of dangers in advance. When the vehicle-mounted inspection terminal captures these construction feature information within its monitoring area, it can immediately capture real-time images of the gas pipeline environment and synchronously record location information and shooting time information to ensure the comprehensiveness and timeliness of the data.

[0051] In a feasible embodiment, after receiving the first gas pipeline environment data sent by the vehicle-mounted inspection terminal and extracting the first characteristic information of the first gas pipeline environment image, when the first characteristic information meets the warning condition representing that there is third-party construction at the first location, that is, when it is confirmed that the first characteristic information contains at least one construction characteristic element (such as construction personnel, etc.), the server can immediately enter the warning processing process.

[0052] In a feasible embodiment, the early warning process may include: highlighting the image on the interface of the vehicle inspection terminal or the monitoring center, and popping up an early warning window to alert the management personnel. Sending early warning text messages or emails to relevant responsible persons or emergency teams. Automatically launching emergency plans, such as suspending gas supply in the surrounding area until the safety hazards are eliminated. Through such an early warning mechanism, construction risks near gas pipelines can be discovered and responded to in a timely manner, effectively preventing the occurrence of safety accidents.

[0053] In a feasible embodiment, after receiving the second gas pipeline environment data sent by the vehicle-mounted inspection terminal and extracting the second characteristic information of the second gas pipeline environment image, the server executes a series of comparison and condition judgment processes, including: characteristic information comparison: if the second characteristic information and the first characteristic information meet the similarity condition, for example, when the similarity between the second characteristic information and the first characteristic information is greater than the preset similarity threshold (such as 95%), it indicates that the construction characteristics in the second characteristic information and the construction characteristics in the first characteristic information are highly consistent, then further compare the location information and time information. Location and time verification: check whether the first location information and the second location information meet the geographical location condition (such as the location deviation is within the allowable range), and at the same time confirm whether the first shooting time information and the second shooting time information meet the shooting time condition (such as the time interval meets the inspection frequency requirement). If both are satisfied, it is judged that the current environmental state (i.e., the environmental state corresponding to the second gas pipeline environment image) is stable and no warning is required. Position or time anomaly processing: If the first position information and the second position information do not meet the geographical location condition, or the first shooting time information and the second shooting time information do not meet the shooting time condition, the early warning mechanism is triggered and early warning processing is performed on the second gas pipeline environment image.

[0054] In a feasible embodiment, after the early warning processing from step 210 to step 260, the first gas pipeline environment data transmitted by the vehicle-mounted inspection terminal is first received in real time, and the data includes the gas pipeline environment image, location information and shooting time information. Then, the feature information in the first gas pipeline environment image is extracted, and a preliminary early warning evaluation is performed according to the early warning conditions. Subsequently, when the second gas pipeline environment data including the second gas pipeline environment image, location information and shooting time sent by the vehicle-mounted inspection terminal is received again, the feature information in the second gas pipeline environment image is extracted, and a determination process is started. In this process, if the second feature information is highly similar to the first feature information, and the location information in the two sets of data is close, which meets the third preset geographical location proximity requirement, and the shooting time interval is also within the fourth preset reasonable time difference range, it is determined that this monitoring is a continuous part of the same construction activity, and then the second gas pipeline environment image is processed without early warning. This embodiment effectively distinguishes duplicate alarms by deeply integrating similarity evaluation of feature information, spatial analysis of location information, and time series consideration of shooting time, ensuring that the early warning mechanism can both quickly respond to real risks and avoid unnecessary duplicate alarms, thereby greatly improving the accuracy and timeliness of early warnings.

[0055] In a feasible embodiment, if the server has stored historical feature information in advance, that is, the server has received and stored the historical gas pipeline environment data before receiving the first gas pipeline environment data sent by the vehicle inspection terminal, then when the first gas pipeline environment image is subjected to early warning processing, the first gas pipeline environment image can also be subjected to feature comparison with the historical gas pipeline environment image, and then it is determined whether to perform early warning processing according to the comparison result. This process is intended to determine whether there are repeated or similar monitoring records by comparing the feature information of the current image with the feature information of the existing image in the server. Specifically, if it is detected that the feature information of the stored historical gas pipeline environment image is highly consistent with that of the first gas pipeline environment image, and the two coincide in the geographic location coordinates, and the shooting time difference is within a preset reasonable range (such as a few minutes to a few hours before and after, depending on the actual inspection cycle and scene settings), it is determined that this may be repeated monitoring of the same scene, thereby avoiding unnecessary early warning actions and ensuring the accuracy and efficiency of early warning processing. For example, suppose that in a certain inspection, the vehicle inspection terminal uploads a gas pipeline environment image of an area suspected of construction activities. After receiving the image, the server will extract the construction features in the image (such as construction vehicles, equipment or workers, etc.), and immediately prepare to start the warning process when it finds that the warning conditions are met. However, before performing this operation, through feature information comparison, it is found that the image is almost the same as the image feature information taken and stored by another vehicle-mounted inspection terminal at the same location a few minutes ago, and the shooting time difference is within a reasonable range. Therefore, the server determines that this report is not a newly discovered safety hazard, and automatically cancels the warning processing for the image, effectively avoiding false alarms and waste of resources.

[0056] In a feasible embodiment, similarly, if the feature information of the second gas pipeline environment image does not meet the similarity condition with the feature information of the first gas pipeline environment image, the server can call the feature information of the historical gas pipeline environment image and compare it with the feature information of the second gas pipeline environment image one by one. If after comprehensive comparison, it is found that there is no feature information of any gas pipeline environment image that meets the similarity condition with the second feature information, it is determined that the current environment state is abnormal, and the second gas pipeline environment image is also warned to ensure that potential problems are promptly paid attention to and handled.

[0057] It should be noted that the environmental data of the first gas pipeline and the environmental data of the second gas pipeline may come from different inspection equipment. Depending on whether the environmental data of the first gas pipeline and the environmental data of the second gas pipeline are collected from different vehicle-mounted inspection terminal devices, the embodiments of the present application can flexibly adjust and adopt corresponding response strategies. In order to more clearly demonstrate the practical application of these strategies, the following will be described in detail through specific embodiments.

[0058] In a feasible embodiment, when the received environmental data of the first gas pipeline and the environmental data of the second gas pipeline come from the same vehicle-mounted inspection terminal, that is, the received environmental image of the first gas pipeline and the second gas pipeline come from the same vehicle-mounted inspection terminal, in the process of analyzing the environmental image of the gas pipeline, if the similarity between the second feature information and the first feature information is greater than the preset similarity threshold, that is, the similarity condition is met, it means that the construction features displayed in the second gas pipeline environmental image are highly consistent with the features in the first gas pipeline environmental image. This similarity may be reflected in factors such as the configuration of engineering vehicles, the placement of construction materials, and the activities of construction personnel, indicating that the two are likely to be records of the same construction site. At the same time, the server will also verify the degree of matching between the location information and the time information. When the first location information is exactly the same or infinitely close to the second location information, that is, when the geographical location condition is met, it can be confirmed that both shots occurred in the same geographical location. Next, if the first shooting time information and the second shooting time information are within the first time period, and the first time period allows a reasonable time interval (for example, the shooting time interval is 5 minutes), then the shooting time condition is met, which further strengthens the inference that the environmental data of the first gas pipeline and the environmental data of the second gas pipeline belong to the same construction scene continuous observation. Figure 3 As shown, it is assumed that a vehicle-mounted inspection terminal takes a first gas pipeline environment image of a construction area at 10 a.m., and after combining the location information and time information to obtain the first gas pipeline environment data, the environment data is uploaded to the server. Subsequently, at 10:10 a.m., the second gas pipeline environment image of the construction area is taken again. Similarly, after combining the location information and time information to obtain the second gas pipeline environment data, the environment data is uploaded to the server. After receiving the first gas pipeline environment data and the second gas pipeline environment data, the server finds through image analysis that the similarity between the construction feature information in the second gas pipeline environment image and the construction feature information in the first gas pipeline environment image is as high as 95%, far exceeding the preset 80% similarity threshold, and meets the similarity condition. At the same time, the location information of the two images is completely consistent, indicating that the shooting location has not changed, and the geographical location condition is met. In addition, the shooting time interval is only ten minutes, which belongs to the set first time period, and the shooting time condition is met. Based on these comprehensive judgments, the server decides to process the second gas pipeline environment image without warning, because the changes in the construction scene in a short period of time have not reached the threshold for triggering the warning, thereby avoiding unnecessary alarms.

[0059] In a feasible embodiment, when the received first gas pipeline environment image and the second gas pipeline environment image come from different vehicle-mounted inspection terminals, in the process of analyzing the gas pipeline environment image, if it is confirmed that the similarity between the second feature information and the first feature information exceeds the preset similarity threshold, that is, the similarity condition is met, it means that although the two gas pipeline environment images come from different vehicle-mounted inspection terminals, they are likely to capture very similar construction scenes or states. Next, the correlation between the location information and the time information can be further verified. If the first location information matches the second location information and meets the geographic location condition, it means that the two shots were actually taken at the same geographic location. As for the time information, when the first shooting time information and the second shooting time information are in the second time period, it can be regarded as almost instant or nearly synchronous observation, which further reduces the difference between the two shots and increases the possibility that they reflect the same construction state. Figure 4 As shown, assuming that at 10:05 a.m., a vehicle-mounted inspection terminal took a first gas pipeline environment image, and after combining the location information and time information to obtain the first gas pipeline environment data, the environment data was uploaded to the server; then, at 10:07 a.m., another vehicle-mounted inspection terminal took a second gas pipeline environment image at the same location, and similarly, after combining the location information and time information to obtain the second gas pipeline environment data, the environment data was uploaded to the server. After extracting and comparing the feature information of the two images, the server found that the similarity of the construction feature information in the two images was as high as 98%, far exceeding the preset similarity threshold (such as 90%), and met the similarity condition. At the same time, the server confirmed that the location information of the two images was consistent, meeting the geographic location condition. Considering that the shooting time was only 1 minute apart, it belongs to the second time period and meets the shooting time condition. Based on these comprehensive analyses, the server adopts a non-warning processing strategy for the second gas pipeline environment image, because the two shots are almost repeated observations of the same construction scene at the same time point, and there is no need to trigger the alarm repeatedly, thereby ensuring the accuracy and efficiency of the early warning mechanism.

[0060] In a feasible embodiment, in order to further strengthen the safety of the gas pipeline at the construction site, the vehicle inspection terminal is provided with a laser telemetry module, which can monitor the gas concentration parameter of the gas pipeline environment (i.e., the site containing the construction characteristics) in real time. This parameter is included in the gas pipeline environment data and uploaded to the server together with the gas pipeline environment data. After receiving these data, the server will use these data in combination to make a more accurate early warning judgment. Specifically, when the server makes an early warning based on the gas concentration parameter, it will follow the following logic: First, after receiving the first gas pipeline environment data containing the first gas concentration parameter, once the first gas concentration parameter exceeds the preset safety concentration threshold, the server will immediately trigger the alarm mechanism to respond to the potential gas leakage risk at the fastest speed to protect the safety of the personnel and equipment on site. After receiving the second gas concentration parameter detected later (included in the second gas pipeline environment data), the server will further evaluate the relationship between the first gas concentration parameter and the second gas concentration parameter. If the two meet the concentration difference condition (for example, their difference is within a reasonable and acceptable fluctuation range, indicating that the concentration change is a normal phenomenon), the location information and time information of the two will continue to be compared. Specifically, when the first location information and the second location information almost completely overlap and meet the geographical location conditions, it indicates that the two detections are for the same area; at the same time, if the interval between the first shooting time information and the second shooting time information is also within a reasonable range and meets the shooting time conditions, the server will comprehensively consider these factors and determine that the current situation does not constitute a new and independent gas leakage event. In this situation, the server will choose not to process the alarm, but will regard this monitoring record as a continuous and stable observation result of the gas concentration in the same area. Such a decision avoids unnecessary waste of resources. For example, in a construction site inspection task, the vehicle inspection terminal continuously uploaded two sets of gas pipeline environmental data. The first set of data showed that the gas concentration parameters in a certain area had increased slightly, but had not yet reached the alarm threshold. Shortly afterwards, the second set of data came, showing that the gas concentration parameters in the area had decreased slightly. Compared with the first set of data, the difference between the two was within a reasonable fluctuation range. Further analysis found that the location information corresponding to the two sets of data almost overlapped, and the shooting time interval was only a few minutes, which fully met the time requirements of routine inspections. Based on this comprehensive information, the server determines that the concentration change is a normal fluctuation and does not trigger an alarm, thereby effectively avoiding the occurrence of false alarms. On the contrary, if any of the preset conditions in the concentration difference condition, geographical location condition, and shooting time condition is not met, an alarm will be processed.

[0061] In a feasible embodiment, the concentration difference condition is set as the difference between the first gas concentration parameter and the second gas concentration parameter must be less than a specific, pre-set concentration difference threshold. This condition ensures that even if the concentration fluctuates, as long as the change is within an acceptable range, it is considered a normal phenomenon. Similar to the first time period, the third time period can represent a regular inspection cycle, or a specific time period, and it can be considered that the time interval between two detections is reasonable and sufficient to reflect the stability of the gas concentration in the area.

[0062] In a feasible embodiment, when the first gas concentration parameter and the second gas concentration parameter are both derived from the same vehicle-mounted inspection terminal, the server will evaluate whether it is necessary to issue an early warning signal based on a series of preset conditions. Specifically, when the difference between the first gas concentration parameter and the second gas concentration parameter is less than the preset concentration difference threshold, and the first position information and the second position information are completely or highly consistent, it means that the two detections are for the same location on the construction site, thereby eliminating the concentration difference caused by the change in position. As for the shooting time condition, the first shooting time information and the second shooting time information fall within the set third time period. This time period can represent a regular inspection cycle, or a specific time period. The server believes that the time interval between the two detections is reasonable and sufficient to reflect the stability of the gas concentration in the area, and no alarm processing is required. For example, assume that in a daily safety inspection of a construction site, the same vehicle-mounted inspection terminal performs continuous gas concentration detection on a specific area. The first detection was performed at 10:30 am, and the gas concentration obtained was 50ppm (assuming that this is a relatively safe concentration value), and the location information and shooting time information (10:30) were recorded at the same time. The gas concentration obtained by the second test at 10:40 am was 48ppm, and the location information and shooting time information (10:40) were recorded at the same time. Compared with the first test, the difference in concentration value was only 2ppm, which was far below the preset concentration difference threshold (assuming the threshold was 10ppm). Assuming that the third time period set by the server is from 10 am to 12 noon, after confirming that the location of the second test is exactly the same as the location of the first test, indicating that the two tests are for the same area, since 10:30 and 10:40 both occurred in the set time period from 10 am to 12 noon, the following conclusion can be drawn: the difference in gas concentration values ​​obtained by the two tests is far below the preset concentration difference threshold, indicating that the gas concentration in the area remained stable in a short period of time and did not change significantly. The location information of the two tests is exactly the same, confirming that the tests were conducted on the same area. Both tests occurred in the third time period set by the server, and the interval was reasonable, which was within the regular inspection cycle. In summary, the gas concentration of the construction site remained stable in adjacent time periods. It can be considered that the gas concentration in the area during the inspection period is in a safe state and no alarm processing is required.

[0063] In a feasible embodiment, when the first gas concentration parameter and the second gas concentration parameter are both derived from different vehicle-mounted inspection terminals, when the difference between the first gas concentration parameter and the second gas concentration parameter is less than the preset concentration difference threshold, and the first position information and the second position information are completely or highly consistent, it means that the two vehicle-mounted inspection terminals have performed detection at almost the same location. As for the shooting time condition, when the first shooting time information and the second shooting time information fall within the fourth time period, similar to the second time period, the time nodes within the fourth time period can be almost regarded as instant or nearly synchronous observations, and the server believes that the time interval between the two detections is reasonable and sufficient to reflect the stability of the gas concentration in the area, and no alarm processing is required. For example, in a multi-terminal collaborative construction site gas safety inspection, two vehicle-mounted inspection terminals were sent to the same area for detection. Among them, the first terminal first uploaded the first gas concentration parameter, and soon thereafter, the second terminal also uploaded the second gas concentration parameter. The server compared and found that although the data came from different vehicle-mounted inspection terminals, the difference between the two sets of concentration values ​​was very small, far below the preset concentration difference threshold, and met the concentration difference condition. After further analyzing the location information, the server confirmed that the location information of the two tests was exactly the same, which met the geographic location condition, indicating that the two terminals did conduct effective tests at the same location. Finally, after checking the shooting time information, the server found that the time points of the two tests fell within the pre-set fourth time period, and the shooting time condition was also met. Based on all the above conditions, the server determined that the gas concentration in the area was stable and there was no need to issue an early warning signal.

[0064] The following is an application scenario to illustrate the early warning method of this application.

[0065] In one application scenario, in response to the diverse construction damage threats faced by a wetland protection area, such as residents illegally digging fish ponds, nearby construction activities, and abandoned vehicles and pedestrian crossings, vehicle-mounted inspection terminals can be deployed in key areas. These terminals can accurately warn and identify the activities of construction vehicles and personnel, thereby significantly reducing the risk of damage caused by third-party construction. Specifically, vehicle-mounted inspection terminals can be deployed along the layout of gas pipelines in the wetland protection area, especially at the edge of residential areas, potential construction hotspots, and around high-frequency paths for pedestrian crossings, and selected locations with wide and unobstructed views. These terminals can transmit gas pipeline environmental data, including clear environmental images, accurate location information, and shooting time information, to the server in real time. After receiving the data, the server can extract key features of construction equipment (such as shape, color, size) from the environmental image and perform a preliminary risk assessment. When the server receives new gas pipeline environmental data again, it will repeat this process and determine whether it is a continuous monitoring part of the same construction activity by comparing the similarity of feature information in the new and old images, combining the proximity of location information and the rationality of shooting time intervals. If all conditions are met, the server will determine that it is continuous, non-emergency monitoring and no warning will be issued to reduce false alarms. Otherwise, a warning will be issued to ensure that the management department can respond quickly and take measures. Through the above-mentioned refined monitoring and early warning mechanism, not only can the safety of gas pipelines in the wetland protection area be accurately controlled, but also the management efficiency and emergency response speed can be greatly improved, providing a solid technical guarantee for ecological protection and infrastructure safety.

[0066] In addition, the embodiment of the present application also provides a gas pipeline vehicle inspection system, which includes a server and multiple vehicle inspection terminals, such as Figure 5As shown, the vehicle-mounted inspection terminal 510 includes a laser telemetry device 520, an intelligent recognition module 530, a camera 540 and a wireless communication module 550 (such as a 5G module, etc.). The intelligent recognition module 530 can identify the gas pipeline environment, and the camera 540 can collect image information of the gas pipeline environment. The laser telemetry device 520 can detect and obtain the gas concentration parameters of the gas pipeline environment in real time. The vehicle-mounted inspection terminal 510 communicates with the server through the wireless communication module 550. The working principle of the gas pipeline vehicle inspection system 500 includes: the vehicle inspection terminal 510 sends the first gas pipeline environment data and the second gas pipeline environment data to the server, the first gas pipeline environment data includes the first gas concentration parameter, the first gas pipeline environment image, the first position information and the first shooting time information of the vehicle inspection terminal 510, and the second gas pipeline environment data includes the second gas concentration parameter, the second gas pipeline environment image, the second position information and the second shooting time information of the vehicle inspection terminal 510; after receiving the data sent by the vehicle inspection terminal 510, the server performs a series of steps including: extracting the first feature information of the first gas pipeline environment image, the first gas concentration parameter, and the second feature information of the second gas pipeline environment image and the second gas concentration parameter; when the first characteristic information meets the warning condition that characterizes that there is third-party construction at the first location, perform warning processing; when it is determined that the second characteristic information and the first characteristic information meet the similarity condition, when the first location information and the second location information meet the geographical location condition, and the first shooting time information and the second shooting time information meet the shooting time condition, perform non-warning processing on the second gas pipeline environment image; when the first gas concentration parameter exceeds a preset concentration threshold, perform alarm processing; when it is determined that the first gas concentration parameter and the second gas concentration parameter meet the concentration difference condition, when the first location information and the second location information meet the geographical location condition, and the first shooting time information and the second shooting time information meet the shooting time condition, perform non-alarm processing.

[0067] Furthermore, if Figure 5As shown, the laser telemetry device 520 includes a laser telemetry lens 521 and a laser telemetry module 522, wherein the laser telemetry module 522 is built with a laser generation module, a signal processing module and a detector. Specifically, the laser generation module is used to project a laser beam to the gas pipeline environment; the laser telemetry lens 521 is used to focus the reflected laser beam to the detector; the detector is used to convert the reflected laser beam into an electrical signal and transmit the electrical signal to the signal processing module; the signal processing module is used to calculate the gas concentration of the gas pipeline environment according to the electrical signal. In the specific operation process, the laser generation module is responsible for accurately projecting a high-intensity laser beam to the gas pipeline environment for non-contact measurement. The laser telemetry lens 521 can efficiently focus the laser beam reflected from the gas pipeline environment onto the detector. The detector converts the focused laser beam into an electrical signal. The signal processing module receives the electrical signals from the detector and analyzes and processes these signals. Through precise calculations, the module can accurately calculate the gas concentration in the gas pipeline environment.

[0068] Furthermore, the vehicle inspection terminal 510 also integrates a positioning module 560, which uses high-precision positioning technologies such as GPS positioning technology and Beidou positioning system. Through these technologies, the location information positioning module 570 can capture and record the geographical location information of the vehicle inspection terminal in real time and accurately, providing a location reference for subsequent data analysis, safety monitoring and emergency response.

[0069] In a feasible embodiment, in order to enable the vehicle inspection terminal 510 to monitor the gas pipeline environment in all directions, such as Figure 6 As shown, the vehicle inspection terminal 510 is also equipped with a rotating device, which includes a rotating chassis 610 and an operating handle 620. In actual application, the operator can adjust the monitoring direction of the vehicle inspection terminal 510 by rotating the operating handle, thereby effectively identifying and detecting hazards near the pipeline.

[0070] It should be noted that since the gas pipeline vehicle-mounted inspection system of this embodiment can implement the early warning method of the previous embodiment, the gas pipeline vehicle-mounted inspection system of this embodiment and the early warning method of the previous embodiment have the same technical principles and the same beneficial effects. In order to avoid repetition, they will not be repeated here.

[0071] Reference Figure 7 The embodiment of the present application further discloses an electronic device, the electronic device 700 comprising:

[0072] at least one processor 701;

[0073] At least one memory 702, used to store at least one program;

[0074] When at least one program is executed by at least one processor 701, the above-mentioned early warning method is implemented.

[0075] The embodiment of the present application further discloses a computer-readable storage medium, which stores a computer program executable by a processor. When the computer program executable by the processor is executed by the processor, it is used to implement the above-mentioned early warning method.

[0076] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An early warning method applied to a gas pipeline vehicle inspection system, characterized in that: The gas pipeline vehicle inspection system includes a server and a plurality of vehicle inspection terminals. The early warning method is applied to the server. The method includes: Receiving first gas pipeline environment data sent by the vehicle-mounted inspection terminal, the first gas pipeline environment data including a first gas pipeline environment image, first position information of the vehicle-mounted inspection terminal, and first shooting time information; Extracting first feature information of the first gas pipeline environment image; When the first characteristic information satisfies a warning condition indicating that a third party is constructing at the first location, performing a warning process; receiving second gas pipeline environment data sent by the vehicle-mounted inspection terminal, wherein the second gas pipeline environment data includes a second gas pipeline environment image, second position information of the vehicle-mounted inspection terminal, and second shooting time information; Extracting second feature information of the second gas pipeline environment image; When it is determined that the second characteristic information and the first characteristic information meet the similarity condition, when the first location information and the second location information meet the geographical location condition, and the first shooting time information and the second shooting time information meet the shooting time condition, the second gas pipeline environment image is processed without warning.

2. The early warning method according to claim 1, characterized in that: In the case that the first gas pipeline environment image and the second gas pipeline environment image come from the same vehicle-mounted inspection terminal, the similarity condition characterizes that the similarity between the second feature information and the first feature information is greater than a preset similarity threshold, the geographic location condition characterizes that the first location information and the second location information are the same, and the shooting time condition characterizes that the first shooting time information and the second shooting time information are in a first time period.

3. The early warning method according to claim 1, characterized in that: In the case where the first gas pipeline environment image and the second gas pipeline environment image come from different vehicle-mounted inspection terminals, the similarity condition characterizes that the similarity between the second feature information and the first feature information is greater than a preset similarity threshold, the geographic location condition characterizes that the first location information and the second location information are the same, and the shooting time condition characterizes that the first shooting time information and the second shooting time information are in a second time period.

4. The early warning method according to claim 1, characterized in that: The characteristics of the third-party construction include one or more of construction vehicles, construction materials, construction site fences, construction personnel, small construction sites, and construction signs.

5. The early warning method according to claim 1, characterized in that: The first gas pipeline environmental data includes a first gas concentration parameter, and the second gas pipeline environmental data includes a second gas concentration parameter, and the first gas concentration parameter and the second gas concentration parameter are data detected by the vehicle-mounted inspection terminal through a laser telemetry module; the method also includes: when the first gas concentration parameter exceeds a preset concentration threshold, performing alarm processing; when it is determined that the first gas concentration parameter and the second gas concentration parameter meet the concentration difference condition, when the first location information and the second location information meet the geographical location condition, and the first shooting time information and the second shooting time information meet the shooting time condition, performing no alarm processing.

6. The early warning method according to claim 5, characterized in that: In the case that the first gas pipeline environmental data and the second gas pipeline environmental data come from the same vehicle-mounted inspection terminal, the concentration difference condition characterizes that the difference between the first gas concentration parameter and the second gas concentration parameter is less than a preset concentration difference threshold, the geographical location condition characterizes that the first location information and the second location information are the same, and the shooting time condition characterizes that the first shooting time information and the second shooting time information are in a third time period.

7. The early warning method according to claim 5, characterized in that: In the case where the first gas pipeline environmental data and the second gas pipeline environmental data come from the same vehicle-mounted inspection terminal, the concentration difference condition characterizes that the difference between the first gas concentration parameter and the second gas concentration parameter is less than a preset concentration difference threshold, the geographical location condition characterizes that the first location information and the second location information are the same, and the shooting time condition characterizes that the first shooting time information and the second shooting time information are in a fourth time period.

8. A gas pipeline vehicle inspection system, characterized in that: It comprises a server and a plurality of vehicle-mounted inspection terminals, wherein the plurality of vehicle-mounted inspection terminals communicate with the server, wherein the vehicle-mounted inspection terminal comprises a laser telemetry device, an intelligent recognition module, a camera and a wireless communication module, wherein the intelligent recognition module is used to recognize the gas pipeline environment, the camera is used to collect image information of the gas pipeline environment, the laser telemetry device is used to detect the gas concentration of the gas pipeline environment, and the wireless communication module is used to communicate with the server; The vehicle-mounted inspection terminal sends first gas pipeline environment data and second gas pipeline environment data to the server, wherein the first gas pipeline environment data includes a first gas concentration parameter, a first gas pipeline environment image, first position information of the vehicle-mounted inspection terminal, and first shooting time information, and the second gas pipeline environment data includes a second gas concentration parameter, a second gas pipeline environment image, second position information of the vehicle-mounted inspection terminal, and second shooting time information; The server extracts the first characteristic information and the first gas concentration parameter of the first gas pipeline environment image, and the second characteristic information and the second gas concentration parameter of the second gas pipeline environment image; performs a warning process when the first characteristic information satisfies a warning condition indicating that a third party is constructing at the first location; performs a non-warning process on the second gas pipeline environment image when it is determined that the second characteristic information satisfies a similarity condition with the first characteristic information, when the first location information and the second location information meet a geographical location condition, and the first shooting time information and the second shooting time information meet a shooting time condition; performs an alarm process when the first gas concentration parameter exceeds a preset concentration threshold; performs a non-alarm process when it is determined that the first gas concentration parameter and the second gas concentration parameter meet a concentration difference condition, when the first location information and the second location information meet the geographical location condition, and the first shooting time information and the second shooting time information meet the shooting time condition.

9. A gas pipeline vehicle inspection system according to claim 8, characterized in that: The laser telemetry device comprises a laser telemetry lens, a laser generating module, a signal processing module and a detector, wherein the laser generating module is used to project a laser beam to the gas pipeline environment; the laser telemetry lens is used to focus the reflected laser beam to the detector; The detector is used to convert the reflected laser beam into an electrical signal and transmit the electrical signal to the signal processing module; The signal processing module is used to calculate the gas concentration of the gas pipeline environment according to the electrical signal.

10. A gas pipeline vehicle inspection system according to claim 8, characterized in that: The vehicle-mounted inspection terminal further includes a positioning module, and the positioning module is used to obtain the position information of the vehicle-mounted inspection terminal.

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