Inspection early warning method, device, system and medium

Abstract

The embodiment of the invention discloses an inspection early warning method, device and system and a medium. The inspection early warning method comprises the following steps: starting a preset inspection task; acquiring fence information related to the inspection task; determining whether the inspection task is abnormal or not according to real-time positioning data of inspection equipment and the fence information; and if the inspection task is abnormal, controlling the inspection equipment to send out an abnormal prompt. According to the inspection early warning method provided by the embodiment of the invention, the reliability and safety of inspection task execution are improved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of inspection and positioning technology, and in particular to an inspection and early warning method, device, system and medium. Background Technology

[0002] Positioning technology is currently widely used in industrial, commercial, residential, and smart city scenarios. Existing technologies primarily use positioning and navigation to perform inspection tasks, monitoring non-compliant behaviors or production within the inspected area. However, existing technologies do not provide any solutions regarding the safety and reliability of the inspection task execution process itself. Therefore, there is an urgent need for an inspection early warning method to improve the safety of the inspection task execution process. Summary of the Invention

[0003] This invention provides an inspection and early warning method, device, system, and medium, which improves the reliability and security of the inspection task execution process.

[0004] According to one aspect of the present invention, an inspection and early warning method is provided, comprising: initiating a preset inspection task; acquiring fence information related to the inspection task; confirming whether the inspection task is abnormal based on real-time positioning data of the inspection device and the fence information; and controlling the inspection device to issue an abnormality prompt if the inspection task is abnormal.

[0005] Optionally, the fence information includes an alarm area and a warning area surrounding the alarm area. The step of confirming whether the inspection task is abnormal based on the real-time positioning data of the inspection device and the fence information includes: if the inspection device enters the warning area, calculating the movement direction of the inspection device based on the change in the positioning data; if the movement direction of the inspection device is towards the alarm area, confirming that the inspection task has a warning abnormality.

[0006] Optionally, the method further includes: if the inspection equipment enters the warning area, calculating the minimum distance between the inspection equipment and the warning area based on the changes in the positioning data; if the minimum distance is less than a preset warning distance, confirming that the inspection task has an abnormal warning.

[0007] Optionally, confirming whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information includes: if the inspection equipment enters the alarm area, then confirming that the inspection task has an alarm abnormality.

[0008] Optionally, if the inspection task experiences alarm anomalies and / or warning anomalies, the method further includes: controlling the inspection equipment to record inspection videos and / or capture images; uploading the videos and / or images to the server to generate an abnormal event bound to the inspection task.

[0009] Optionally, the step of triggering an abnormal prompt if the inspection task is abnormal includes: if the inspection task has a warning abnormality, controlling the inspection equipment to issue a warning prompt; if the inspection task has an alarm abnormality, controlling the inspection equipment to issue an alarm prompt.

[0010] Optionally, the method further includes: generating a lighting optimization scheme based on abnormal events of the inspection task.

[0011] According to another aspect of the present invention, an inspection and early warning device is provided, comprising: a task initiation module for initiating a preset inspection task; a fence acquisition module for acquiring fence information related to the inspection task; an anomaly judgment module for confirming whether the inspection task is abnormal based on real-time positioning data of the inspection device and the fence information; and an anomaly prompting module for controlling the inspection device to issue an anomaly prompt when the inspection task is abnormal.

[0012] According to another aspect of the present invention, an inspection and early warning system is provided, comprising: a positioning module; one or more processors; and a memory for storing one or more programs; wherein when the one or more programs are executed by the one or more processors, the one or more processors implement any of the inspection and early warning methods described above.

[0013] According to another aspect of the present invention, a storage medium is provided having a computer program stored thereon, wherein the program, when executed by a processor, implements the above-described inspection and early warning method.

[0014] Compared with existing technologies, the inspection early warning method in this embodiment can activate high-precision inspection data when the inspection equipment moves to the inspection target. Combined with the fence information preset for the inspection task, it can promptly determine whether there is any abnormality in the execution of the inspection task and issue an abnormality prompt to guide the inspection task to proceed normally, thereby avoiding inspection personnel from accidentally entering the encroachment area along the railway line and improving the reliability and safety of the inspection task execution. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart of an inspection and early warning method provided in Embodiment 1 of the present invention.

[0017] Figure 2 This is a flowchart of an inspection and early warning method provided in Embodiment 2 of the present invention.

[0018] Figure 3 This is a block diagram of an inspection and early warning device provided in Embodiment 3 of the present invention.

[0019] Figure 4 This is a block diagram of an inspection and early warning device provided in Embodiment 4 of the present invention.

[0020] Figure 5 This is a block diagram of an inspection and early warning system provided in Embodiment 5 of the present invention. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0022] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data used can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0023] Example 1

[0024] Figure 1 This is a flowchart of an inspection and early warning method provided in Embodiment 1 of the present invention. This embodiment can be applied to an inspection and early warning device for execution. This device can be implemented by software and / or hardware and is generally integrated into an inspection and early warning system. In this embodiment, the inspection and early warning system includes inspection equipment, which includes a positioning module and a processor. Correspondingly, as... Figure 1 As shown, the method includes the following operations:

[0025] S110, Start the preset inspection task.

[0026] In this embodiment, the inspection task is to conduct inspections along the railway. The inspection task may include observing and recording any dangerous or damaged conditions on the railway tracks, overhead contact lines, and the surrounding environment. It may also include safety inspections and hazard warnings for key lighting equipment areas such as track sections, level crossings, platforms, and tunnels. In one embodiment, the target of the inspection task may be lighting equipment along the railway line. The inspection task in this embodiment can be pre-downloaded from the server to the inspection equipment.

[0027] S120. Obtain fence information related to the inspection task.

[0028] In one embodiment, the fence information related to the inspection task refers to the fence information near the inspection route of the inspection personnel. In another embodiment, the fence information includes an alarm zone and a warning zone surrounding the alarm zone. Specifically, the alarm zone can be a pre-defined danger zone including the railway tracks, and the warning zone is a pre-defined area outside the danger zone. For example, the warning zone can be defined as the area within 0.5-2 meters outside the danger zone. Other non-alarm and non-warning zones are defined as safe zones. In this embodiment, lighting equipment needs to be installed within the safe zone along the railway line. One objective of the inspection task is to inspect each piece of lighting equipment within the safe zone along the railway line according to its coordinates to confirm whether any lighting equipment has entered the alarm zone or the warning zone due to construction errors or unexpected factors.

[0029] S130. Confirm whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information.

[0030] In one embodiment, the positioning module of the inspection equipment includes a first positioning module for acquiring low-precision positioning data and a second positioning module for acquiring high-precision positioning data. Inspection personnel move along the railway line according to the inspection task, sequentially inspecting lighting equipment within the safe area. When the inspection equipment enters the preset range of the lighting equipment, the second positioning module acquires high-precision positioning data to assist in high-precision inspection. When the inspection equipment does not enter the preset range of the lighting equipment, that is, when the inspection personnel are in an open area between two lighting devices and do not need to inspect the lighting equipment or other safety facilities, the first positioning module acquires low-precision positioning data to assist in inspection navigation, helping the inspection personnel quickly move from one lighting device to the next. In one embodiment, an electronic fence is set by loading electronic fence information onto the inspection equipment. The movement of the inspection equipment is used to determine in real time whether the inspection personnel are within the inspection range. If they are outside the range, an alarm is triggered to confirm an abnormal inspection task.

[0031] In one embodiment, confirming whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information includes: if the inspection equipment enters the warning area, calculating the movement direction of the inspection equipment based on the changes in the positioning data; if the movement direction of the inspection equipment is towards the alarm area, confirming that the inspection task has a warning abnormality. Specifically, when the inspector enters the preset range of the lighting equipment, the high-precision positioning data obtained by the second positioning module, combined with the fence information, can calculate whether the inspection equipment has entered the warning area. If it is confirmed that the inspection equipment has entered the warning area, the movement direction of the inspection equipment is further calculated. If the movement direction of the inspection equipment is towards the alarm area, confirming that the inspection task has a warning abnormality; if the movement direction of the inspection equipment is away from the alarm area, confirming that the inspection task is normal.

[0032] In one embodiment, confirming whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information further includes: if the inspection equipment enters the warning area, calculating the minimum distance between the inspection equipment and the alarm area based on the changes in the positioning data; if the minimum distance is less than a preset warning distance, confirming that the inspection task has an alarm abnormality. Specifically, when the inspector enters the preset range of the lighting equipment, the high-precision positioning data obtained by the second positioning module, combined with the fence information, can calculate whether the inspection equipment has entered the warning area. When it is confirmed that the inspection equipment has entered the warning area, the current coordinates of the inspection equipment and the minimum distance to the alarm area are further calculated. If the minimum distance is less than the preset warning distance, confirming that the inspection task has an alarm abnormality; if the minimum distance is greater than or equal to the preset warning distance, confirming that the inspection task is normal.

[0033] In one embodiment, confirming whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information includes: if the inspection equipment enters the alarm area, then confirming that the inspection task has an alarm abnormality. Specifically, when the inspector enters the preset range of the lighting equipment, the high-precision positioning data obtained by the second positioning module, combined with the fence information, can calculate whether the inspection equipment has entered the warning area. If it is confirmed that the inspection equipment has entered the warning area, then the movement direction of the inspection equipment and / or the minimum distance between the current coordinates of the inspection equipment and the alarm area is further calculated. If the movement direction of the inspection equipment is towards the alarm area and / or the minimum distance is less than the preset warning distance, then confirming that the inspection task has a warning abnormality. Further, when the inspector enters the alarm area from the warning area, then confirming that the inspection task has an alarm abnormality. In this embodiment, warning abnormality and alarm abnormality are two different levels of abnormality, corresponding to different levels of abnormality prompts.

[0034] S140. If the inspection task is abnormal, control the inspection equipment to issue an abnormality prompt.

[0035] In one embodiment, if an abnormal warning occurs during the inspection task, the inspection equipment is controlled to issue a warning notification. For example, this could be done via voice or SMS to remind the inspection personnel that they have entered a warning area, or that they are about to deviate from the inspection route. If an abnormal alarm occurs during the inspection task, the inspection equipment is controlled to issue an alarm notification, for example, via voice or SMS to remind the inspection personnel that they have entered an alarm area, or that they have deviated from the inspection route and should return to the inspection route immediately.

[0036] Compared to existing technologies, the inspection early warning method in this embodiment can activate high-precision inspection data when the inspection equipment moves to the inspection target. Combined with the pre-set fence information for the inspection task, it can promptly determine whether any abnormalities have occurred during the inspection task execution and issue an anomaly alert to guide the normal progress of the inspection task. This prevents inspection personnel from accidentally entering restricted areas along the railway line, improving the reliability and safety of the inspection task execution. Furthermore, the inspection early warning method in this embodiment can also confirm whether inspection personnel, while holding the inspection equipment, have left their posts or left the fenced area to do other things during the inspection process. In other words, the inspection early warning method in this embodiment can also achieve supervision and management of the inspection personnel's work.

[0037] Example 2

[0038] Figure 2 This is a flowchart of an inspection and early warning method provided in Embodiment 2 of the present invention. This embodiment can be applied to an inspection and early warning device for execution. This device can be implemented in software and / or hardware and is generally integrated into an inspection and early warning system. In this embodiment, the inspection and early warning system includes inspection equipment, which includes an image capturing module, a first positioning module, and a processor. A second positioning module is connected to the inspection equipment via wired or wireless communication. Correspondingly, as... Figure 2 As shown, the method includes the following operations:

[0039] S110, Start the preset inspection task;

[0040] In this embodiment, the inspection task is to conduct inspections along the railway. The inspection task may include observing and recording any dangerous or damaged conditions on the railway tracks, overhead contact lines, and the surrounding environment. It may also include safety inspections and hazard warnings for key lighting equipment areas such as track sections, level crossings, platforms, and tunnels. The target of the inspection task in this embodiment can be the lighting equipment along the railway line. The inspection task in this embodiment can be pre-downloaded from the server to the inspection equipment.

[0041] S120. Obtain fence information related to the inspection task.

[0042] In one embodiment, the fence information related to the inspection task is the fence information near the inspection route of the inspection personnel. In one embodiment, the fence information includes an inspection area, an alarm area, and a warning area surrounding the alarm area. In this embodiment, the warning area is set between the inspection area and the alarm area to isolate the two areas from each other. Specifically, the alarm area can be a dangerous area with a preset range including the railway tracks, and the warning area includes a preset range outside the dangerous area but not within the inspection area. In one embodiment, the warning area can also be set around the inspection area. For example, the area within 0.5-2 meters outside the dangerous area can be defined as the warning area, and / or the area within 0.5-2 meters outside the inspection area can also be defined as the warning area. Other non-alarm and non-warning areas around the inspection area are defined as safe areas. In this embodiment, lighting equipment needs to be set up within the safe area along the railway line. One objective of the inspection task is to inspect each lighting equipment within the safe area along the railway line according to its coordinates to confirm whether any lighting equipment has entered the alarm area or warning area due to construction errors or unexpected factors.

[0043] S130. Confirm whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information.

[0044] In one embodiment, inspection personnel move along the railway line according to the inspection task, sequentially inspecting lighting equipment within the safe area. When the inspection equipment enters the preset range of the lighting equipment, the second positioning module acquires high-precision positioning data to assist in high-precision inspection. When the inspection equipment does not enter the preset range of the lighting equipment, that is, when the inspection personnel are in an open and safe area between two lighting equipment and do not need to inspect the lighting equipment, the first positioning module acquires low-precision positioning data to assist in inspection navigation, helping the inspection personnel to quickly move from the previous lighting equipment to the next lighting equipment. In one embodiment, an electronic fence is set by loading electronic fence information onto the inspection equipment. The movement of the inspection equipment is used to determine in real time whether the inspection personnel are within the inspection area. If they are outside the inspection area, an alarm is triggered to confirm an abnormal inspection task.

[0045] In one embodiment, confirming whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information includes: if the inspection equipment enters the warning area, calculating the movement direction of the inspection equipment based on the changes in the positioning data; if the movement direction of the inspection equipment is towards the alarm area, confirming that the inspection task has a warning abnormality. Specifically, when the inspector enters the preset range of the lighting equipment, the high-precision positioning data obtained by the second positioning module, combined with the fence information, can calculate whether the inspection equipment has entered the warning area. If it is confirmed that the inspection equipment has entered the warning area, the movement direction of the inspection equipment is further calculated. If the movement direction of the inspection equipment is towards the alarm area, confirming that the inspection task has a warning abnormality; if the movement direction of the inspection equipment is away from the alarm area, confirming that the inspection task is normal.

[0046] The step of confirming whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information further includes: if the inspection equipment enters the warning area, then calculating the minimum distance between the inspection equipment and the alarm area based on the changes in the positioning data; if the minimum distance is less than a preset warning distance, then confirming that the inspection task has an alarm abnormality. Specifically, when the inspector enters the preset range of the lighting equipment, the high-precision positioning data obtained by the second positioning module, combined with the fence information, can calculate whether the inspection equipment has entered the warning area. When it is confirmed that the inspection equipment has entered the warning area, then further calculating the current coordinates of the inspection equipment and the minimum distance to the alarm area. If the minimum distance is less than the preset warning distance, then confirming that the inspection task has an alarm abnormality; if the minimum distance is greater than or equal to the preset warning distance, then confirming that the inspection task is normal.

[0047] In one embodiment, confirming whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information includes: if the inspection equipment enters the alarm area, then confirming that the inspection task has an alarm abnormality. Specifically, when the inspector enters the preset range of the lighting equipment, the high-precision positioning data obtained by the second positioning module, combined with the fence information, can calculate whether the inspection equipment has entered the warning area. If it is confirmed that the inspection equipment has entered the warning area, then the movement direction of the inspection equipment and / or the minimum distance between the current coordinates of the inspection equipment and the alarm area is further calculated. If the movement direction of the inspection equipment is towards the alarm area and / or the minimum distance is less than the preset warning distance, then it is confirmed that the inspection task has a warning abnormality. Further, when the inspector enters the alarm area from the warning area, then it is confirmed that the inspection task has an alarm abnormality. In this embodiment, warning abnormality and alarm abnormality are two different levels of abnormality.

[0048] S140. If the inspection task experiences an alarm anomaly and / or a warning anomaly, the inspection equipment is controlled to issue an anomaly prompt and to record inspection videos and / or capture images.

[0049] In one embodiment, if an abnormal warning occurs during the inspection task, the inspection equipment is controlled to issue a warning notification. For example, this could be done via voice or SMS to remind the inspection personnel that they have entered a warning area, or that they are about to deviate from the inspection route. If an abnormal alarm occurs during the inspection task, the inspection equipment is controlled to issue an alarm notification, for example, via voice or SMS to remind the inspection personnel that they have entered an alarm area, or that they have deviated from the inspection route and should return to the inspection route immediately.

[0050] In one embodiment, the image capture module of the inspection equipment is a built-in high-definition video or photographic module. When an alarm or warning anomaly occurs during the inspection task, indicating that the inspection personnel are about to enter or have already entered the restricted area (danger zone) during the inspection, the inspection equipment automatically activates the inspection video recording or inspection photo capture function and controls the inspection equipment to record inspection videos and / or capture images to record the process of the inspection equipment entering the warning zone and / or alarm zone in a timely manner. These videos or images can serve as relevant evidence of accidental damage caused by the inspector entering the warning zone and / or alarm zone. If the inspector is misled into entering the warning zone and / or alarm zone due to coordinate errors of the lighting equipment, these videos or images can also serve as evidence that the lighting equipment entered the alarm zone or warning zone due to construction errors or accidental factors.

[0051] S150. Upload the video and / or image to the server to generate an abnormal event bound to the inspection task.

[0052] In one embodiment, the inspection equipment uploads the aforementioned alarm anomalies and / or warning anomalies, along with corresponding videos and / or images, to the server of the monitoring platform to generate anomaly events bound to the inspection task. Specifically, the server, based on the inspection anomaly information received from one or more inspection equipment uploads, and the corresponding videos and / or images, associates and stores this anomaly information and corresponding videos and / or images with the inspection task, generating anomaly events bound to the inspection task to facilitate subsequent centralized retrieval, analysis, and processing of the anomaly events. In an alternative embodiment, the server can also combine the camera devices and infrared imaging devices in the current execution scenario of the linked inspection task to collect the target image of the inspection equipment and upload it to the platform to achieve more accurate behavior judgment.

[0053] S160. Generate a lighting optimization scheme based on the abnormal events of the inspection task.

[0054] In one embodiment, by centrally retrieving, analyzing and processing abnormal events in inspection tasks, the coordinates of all lighting equipment that have entered the alarm or warning area due to construction errors or unexpected factors can be regularly compiled. In this way, there is no need to set up additional sensors or video recording equipment in the lighting area. Railway lighting area encroachment monitoring can be achieved through ordinary inspection tasks. Lighting optimization schemes can be generated for the coordinates of abnormal lighting equipment, so as to repair or rectify the encroaching lighting equipment in a timely manner.

[0055] Compared to existing technologies, the inspection and early warning method in this embodiment can record video or take photos to preserve evidence when inspection tasks are abnormal. This evidence is then uploaded to the monitoring platform server and bound to the inspection task for objective auditing of the inspection personnel's work. By loading electronic fence information onto the inspection equipment and setting up an electronic fence, the system determines in real-time whether the inspection personnel are within the inspection range based on the equipment's movement. If they are outside the range, the equipment automatically starts recording live video and actively uploads real-time location information and footage to the monitoring platform server. The monitoring platform server combines the live video and location data to analyze and determine the reasons for the inspection personnel's behavior, which could be one or more of the following: operational violations, sudden emergencies, or an unreasonable electronic fence. Furthermore, this embodiment can set different levels of early warning or alarm strategies based on different distances from the fence and different behaviors for identifying and uploading inspection personnel's violations. It also analyzes the uploaded data to determine the reasonableness of the electronic fence. If the electronic fence setting is detrimental to the normal execution of the inspection task or may endanger the inspection personnel, the setting range of the inspection area, alarm area, and early warning area of ​​the electronic fence information is readjusted. The evidence uploaded by the inspection and early warning method in this embodiment can also help generate lighting optimization schemes, so as to repair or rectify the lighting equipment that infringes on the limit in a timely manner, ensuring the transportation safety along the railway line and eliminating the risk that the inspector will accidentally enter the alarm area when performing the inspection task again.

[0056] Example 3

[0057] Figure 3 This is a schematic diagram of the structure of an inspection and early warning device provided in Embodiment 3 of the present invention. The device 300 can be implemented by software and / or hardware, and is generally integrated into an inspection and early warning system, such as... Figure 3 As shown, the device 300 includes: a task initiation module 310, a fence acquisition module 320, an anomaly judgment module 330, and an anomaly prompting module 340.

[0058] The task initiation module 310 is used to initiate preset inspection tasks.

[0059] In this embodiment, the inspection task is to conduct inspections along the railway. The inspection task may include observing and recording any dangerous or damaged conditions on the railway tracks, overhead contact lines, and the surrounding environment. It may also include safety inspections and hazard warnings for key lighting equipment areas such as rail transit sections, level crossings, platforms, and tunnels. In this embodiment, the target of the inspection task can be lighting equipment along the railway line.

[0060] The fence acquisition module 320 is used to acquire fence information related to the inspection task.

[0061] In one embodiment, the fence information related to the inspection task refers to the fence information near the inspection route of the inspection personnel. In another embodiment, the fence information includes an alarm zone and a warning zone surrounding the alarm zone. Specifically, the alarm zone can be a dangerous area including a preset range of the railway tracks, and the warning zone is a preset range outside the dangerous area, for example, the area within 0.5-2 meters outside the dangerous area can be defined as the warning zone. Other non-alarm and non-warning areas are defined as safe zones. In this embodiment, lighting equipment needs to be installed within the safe zone along the railway line. One objective of the inspection task is to inspect each piece of lighting equipment within the safe zone along the railway line according to its coordinates to confirm whether any lighting equipment has entered the alarm zone or warning zone due to construction errors or unexpected factors.

[0062] The anomaly detection module 330 is used to confirm whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information.

[0063] In one embodiment, the inspection personnel move along the railway line according to the inspection task and inspect the lighting equipment in the safe area in turn. When the inspection equipment enters the preset range of the lighting equipment, the second positioning module obtains high-precision positioning data to assist in high-precision inspection. When the inspection equipment does not enter the preset range of the lighting equipment, that is, when the inspection personnel are in the open area between two lighting equipment and do not need to inspect the lighting equipment, the first positioning module obtains low-precision positioning data to assist in inspection navigation.

[0064] In one embodiment, the anomaly judgment module 330 further includes an early warning judgment module. If the inspection equipment enters the early warning area, the early warning judgment module calculates the movement direction of the inspection equipment based on the changes in the positioning data; if the movement direction of the inspection equipment is towards the alarm area, it confirms that the inspection task has an early warning anomaly. Specifically, when the inspector enters the preset range of the lighting equipment, the high-precision positioning data obtained by the second positioning module, combined with the fence information, can calculate whether the inspection equipment has entered the early warning area. When it is confirmed that the inspection equipment has entered the early warning area, the movement direction of the inspection equipment is further calculated. If the movement direction of the inspection equipment is towards the alarm area, it confirms that the inspection task has an early warning anomaly; if the movement direction of the inspection equipment is away from the alarm area, it confirms that the inspection task is normal.

[0065] In one embodiment, if the inspection equipment enters the warning area, the warning judgment module can further calculate the minimum distance between the inspection equipment and the warning area based on the changes in the positioning data; if the minimum distance is less than a preset warning distance, it is confirmed that the inspection task has a warning abnormality. Specifically, when the inspector enters the preset range of the lighting equipment, the high-precision positioning data obtained by the second positioning module, combined with the fence information, can calculate whether the inspection equipment has entered the warning area. When it is confirmed that the inspection equipment has entered the warning area, the current coordinates of the inspection equipment and the minimum distance to the warning area are further calculated. If the minimum distance is less than the preset warning distance, it is confirmed that the inspection task has a warning abnormality; if the minimum distance is greater than or equal to the preset warning distance, it is confirmed that the inspection task is normal.

[0066] In one embodiment, the anomaly judgment module 330 further includes an alarm judgment module. If the inspection equipment enters the alarm area, the alarm judgment module confirms that the inspection task has an alarm anomaly. Specifically, when the inspector enters the preset range of the lighting equipment, based on the high-precision positioning data obtained by the second positioning module and the fence information, the alarm judgment module can calculate whether the inspection equipment has entered the warning area. If it is confirmed that the inspection equipment has entered the warning area, the module further calculates the moving direction of the inspection equipment and / or the minimum distance between the current coordinates of the inspection equipment and the alarm area. If the moving direction of the inspection equipment is towards the alarm area and / or the minimum distance is less than the preset warning distance, the module confirms that the inspection task has a warning anomaly. Furthermore, when the inspector enters the alarm area from the warning area, the module confirms that the inspection task has an alarm anomaly. In this embodiment, warning anomalies and alarm anomalies are two different levels of anomalies.

[0067] The anomaly alert module 340 is used to control the inspection equipment to issue an anomaly alert when the inspection task is abnormal.

[0068] In one embodiment, if an abnormal warning occurs during the inspection task, the abnormality notification module 340 controls the inspection equipment to issue a warning notification. For example, it may remind the inspection personnel via voice or SMS that they have entered the warning area, or that they are about to deviate from the inspection route. If an abnormal alarm occurs during the inspection task, the system controls the inspection equipment to issue an alarm notification, for example, by voice or SMS notification that the inspection personnel have entered the alarm area, or that they have deviated from the inspection route and should return to the inspection route in time.

[0069] In this embodiment, the above-mentioned inspection and early warning device can execute the inspection and early warning method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment can be found in the inspection and early warning method provided in any embodiment of the present invention. Since the inspection and early warning device described above is a device capable of executing the inspection and early warning method in the embodiments of the present invention, those skilled in the art can understand the specific implementation methods and various variations of the inspection and early warning device in this embodiment based on the inspection and early warning method described in the embodiments of the present invention. Therefore, how the inspection and early warning device implements the inspection and early warning method in the embodiments of the present invention will not be described in detail here. Any device used by those skilled in the art to implement the inspection and early warning method in the embodiments of the present invention falls within the scope of protection of this application.

[0070] Example 4

[0071] Figure 4 This is a schematic diagram of the structure of an inspection and early warning device provided in Embodiment 4 of the present invention. The device 400 can be implemented by software and / or hardware, and is generally integrated into an inspection and early warning system, such as... Figure 4 As shown, the device 400 includes: a task initiation module 410, a fence acquisition module 420, an anomaly judgment module 430, an anomaly handling module 440, an information upload module 450, and a lighting optimization module 460.

[0072] Task initiation module 410 is used to initiate preset inspection tasks.

[0073] In this embodiment, the inspection task is to conduct inspections along the railway. The inspection task may include observing and recording any dangerous or damaged conditions on the railway tracks, overhead contact lines, and the surrounding environment. It may also include safety inspections and hazard warnings for key lighting equipment areas such as rail transit sections, level crossings, platforms, and tunnels. In this embodiment, the target of the inspection task can be lighting equipment along the railway line.

[0074] The fence acquisition module 420 is used to acquire fence information related to the inspection task.

[0075] In one embodiment, the fence information related to the inspection task refers to the fence information near the inspection route of the inspection personnel. In another embodiment, the fence information includes an alarm zone and a warning zone surrounding the alarm zone. Specifically, the alarm zone can be a dangerous area including a preset range of the railway tracks, and the warning zone is a preset range outside the dangerous area, for example, the area within 0.5-2 meters outside the dangerous area can be defined as the warning zone. Other non-alarm and non-warning areas are defined as safe zones. In this embodiment, lighting equipment needs to be installed within the safe zone along the railway line. One objective of the inspection task is to inspect each piece of lighting equipment within the safe zone along the railway line according to its coordinates to confirm whether any lighting equipment has entered the alarm zone or warning zone due to construction errors or unexpected factors.

[0076] The anomaly detection module 430 is used to confirm whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information.

[0077] In one embodiment, the inspection personnel move along the railway line according to the inspection task and inspect the lighting equipment in the safe area in turn. When the inspection equipment enters the preset range of the lighting equipment, the second positioning module obtains high-precision positioning data to assist in high-precision inspection. When the inspection equipment does not enter the preset range of the lighting equipment, that is, when the inspection personnel are in the open area between two lighting equipment and do not need to inspect the lighting equipment, the first positioning module obtains low-precision positioning data to assist in inspection navigation.

[0078] In one embodiment, the anomaly judgment module 430 further includes an early warning judgment module. If the inspection equipment enters the early warning area, the early warning judgment module calculates the movement direction of the inspection equipment based on the changes in the positioning data; if the movement direction of the inspection equipment is towards the alarm area, it confirms that the inspection task has an early warning anomaly. Specifically, when the inspector enters the preset range of the lighting equipment, the high-precision positioning data obtained by the second positioning module, combined with the fence information, can calculate whether the inspection equipment has entered the early warning area. When it is confirmed that the inspection equipment has entered the early warning area, the movement direction of the inspection equipment is further calculated. If the movement direction of the inspection equipment is towards the alarm area, it confirms that the inspection task has an early warning anomaly; if the movement direction of the inspection equipment is away from the alarm area, it confirms that the inspection task is normal.

[0079] In one embodiment, if the inspection equipment enters the warning area, the warning judgment module can further calculate the minimum distance between the inspection equipment and the warning area based on the changes in the positioning data; if the minimum distance is less than a preset warning distance, it is confirmed that the inspection task has a warning abnormality. Specifically, when the inspector enters the preset range of the lighting equipment, the high-precision positioning data obtained by the second positioning module, combined with the fence information, can calculate whether the inspection equipment has entered the warning area. When it is confirmed that the inspection equipment has entered the warning area, the current coordinates of the inspection equipment and the minimum distance to the warning area are further calculated. If the minimum distance is less than the preset warning distance, it is confirmed that the inspection task has a warning abnormality; if the minimum distance is greater than or equal to the preset warning distance, it is confirmed that the inspection task is normal.

[0080] In one embodiment, the anomaly judgment module 430 further includes an alarm judgment module. If the inspection equipment enters the alarm area, the alarm judgment module confirms that the inspection task has an alarm anomaly. Specifically, when the inspector enters the preset range of the lighting equipment, based on the high-precision positioning data obtained by the second positioning module and the fence information, the alarm judgment module can calculate whether the inspection equipment has entered the warning area. If it is confirmed that the inspection equipment has entered the warning area, it further calculates the movement direction of the inspection equipment and / or the minimum distance between the current coordinates of the inspection equipment and the alarm area. If the movement direction of the inspection equipment is towards the alarm area and / or the minimum distance is less than the preset warning distance, it is confirmed that the inspection task has a warning anomaly. Furthermore, when the inspector enters the alarm area from the warning area, it is confirmed that the inspection task has an alarm anomaly. In this embodiment, warning anomalies and alarm anomalies are two different levels of anomalies.

[0081] The anomaly handling module 440 is used to control the inspection equipment to issue an anomaly prompt when an alarm anomaly and / or a warning anomaly occurs in the inspection task, and to control the inspection equipment to record inspection videos and / or capture images.

[0082] In one embodiment, if an inspection task experiences a warning anomaly, the anomaly handling module 440 controls the inspection equipment to issue a warning prompt. For example, it may remind the inspection personnel via voice or SMS that they have entered a warning area, or that they are about to deviate from the inspection route. If an inspection task experiences an alarm anomaly, the module controls the inspection equipment to issue an alarm prompt, for example, by voice or SMS notification reminding the inspection personnel that they have entered an alarm area, or that they have deviated from the inspection route and should return to the inspection route promptly.

[0083] In one embodiment, the image capture module of the inspection equipment is a built-in high-definition video or photographic module. When an alarm or warning anomaly occurs during the inspection task, indicating that the inspection personnel are about to enter or have already entered the restricted area (danger zone) during the inspection, the anomaly handling module 440 controls the inspection equipment to automatically start the inspection recording or inspection photography function, and controls the inspection equipment to record inspection videos and / or capture images to record the process of the inspection equipment entering the warning zone and / or alarm zone in a timely manner. These videos or images can serve as evidence of accidental damage caused by the inspector entering the warning zone and / or alarm zone. If the inspector is misled into entering the warning zone and / or alarm zone due to coordinate errors of the lighting equipment, these videos or images can also serve as evidence that the lighting equipment entered the alarm zone or warning zone due to construction errors or accidental factors.

[0084] The information upload module 450 is used to upload the video and / or image to the server to generate an abnormal event bound to the inspection task.

[0085] In one embodiment, the information uploading module 450 controls the inspection equipment to upload the aforementioned alarm anomalies and / or warning anomalies, along with the corresponding videos and / or images, to the server of the monitoring platform to generate anomaly events bound to the inspection task. Specifically, the server, based on the inspection anomaly information received from one or more inspection equipment uploads, and the corresponding videos and / or images, associates and stores this anomaly information and the corresponding videos and / or images with the inspection task, generating anomaly events bound to the inspection task to facilitate subsequent centralized retrieval, analysis, and processing of the anomaly events.

[0086] The lighting optimization module 460 generates a lighting optimization scheme based on the abnormal events of the inspection task.

[0087] In one embodiment, by centrally retrieving, analyzing and processing abnormal events in inspection tasks, the coordinates of all lighting equipment that have entered the alarm or warning area due to construction errors or unexpected factors can be regularly compiled. In this way, there is no need to set up additional sensors or video recording equipment in the lighting area. Railway lighting area encroachment monitoring can be achieved through ordinary inspection tasks. Lighting optimization schemes can be generated for the coordinates of abnormal lighting equipment, so as to repair or rectify the encroaching lighting equipment in a timely manner.

[0088] In this embodiment, the above-mentioned inspection and early warning device can execute the inspection and early warning method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment can be found in the inspection and early warning method provided in any embodiment of the present invention. Since the inspection and early warning device described above is a device capable of executing the inspection and early warning method in the embodiments of the present invention, those skilled in the art can understand the specific implementation methods and various variations of the inspection and early warning device in this embodiment based on the inspection and early warning method described in the embodiments of the present invention. Therefore, how the inspection and early warning device implements the inspection and early warning method in the embodiments of the present invention will not be described in detail here. Any device used by those skilled in the art to implement the inspection and early warning method in the embodiments of the present invention falls within the scope of protection of this application.

[0089] Example 5

[0090] Figure 5 A schematic diagram of an inspection and early warning system according to Embodiment 5 of the present invention is shown. Figure 5 As shown, the inspection and early warning system 500 includes a positioning module 20, an image capturing module 23, one or more processors 11, and a memory communicatively connected to at least one processor 11. In one embodiment, the positioning module 20 may include a first positioning module 21 for acquiring low-precision positioning data and a second positioning module 22 for acquiring high-precision positioning data. The memory stores a computer program executable by at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. The RAM 13 may also store various programs and data required for the operation of the inspection and early warning system 500. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0091] Multiple components of the inspection and early warning system 500 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard or mouse; an output unit 17, such as various types of displays or speakers; a storage unit 18, such as a hard disk or optical disk; and a communication unit 19, such as a network card, modem, or wireless transceiver. The communication unit 19 allows the inspection and early warning system 500 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0092] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the processor implementing the inspection and early warning method in the inspection and early warning system 500.

[0093] In some embodiments, the inspection and early warning method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the inspection and early warning system 500 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the inspection and early warning method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the inspection and early warning method by any other suitable means (e.g., by means of firmware).

[0094] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0095] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0096] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0097] To provide interaction with a user, the systems and techniques described herein can be implemented on a mobile terminal having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the mobile terminal. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including voice input, speech input, or tactile input).

[0098] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0099] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0100] Example 6

[0101] Embodiment 6 of the present invention also provides a computer storage medium for storing a computer program, which, when executed by a computer processor, is used to perform the inspection and early warning method described in any of the above embodiments of the present invention.

[0102] The computer storage medium of this invention can be any combination of one or more computer-readable media. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM, or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0103] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0104] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, radio frequency (RF), or any suitable combination thereof.

[0105] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

[0106] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. An inspection and early warning method, applied to inspection equipment, characterized in that, The method includes: Initiate the preset inspection task; Obtain the fence information related to the inspection task; The inspection task is confirmed to be abnormal based on the real-time positioning data of the inspection equipment and the fence information. If the inspection task is abnormal, the inspection equipment will be controlled to issue an abnormality prompt.

2. The inspection and early warning method according to claim 1, characterized in that, The fence information includes an alarm zone and a warning zone surrounding the alarm zone. The step of confirming whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information includes: If the inspection equipment enters the warning area, the movement direction of the inspection equipment is calculated based on the changes in the positioning data; If the inspection equipment moves towards the alarm area, it is confirmed that an abnormality has occurred in the inspection task.

3. The inspection and early warning method according to claim 2, characterized in that, Further includes: If the inspection equipment enters the warning area, the minimum distance between the inspection equipment and the warning area is calculated based on the changes in the positioning data. If the minimum distance is less than the preset warning distance, then the inspection task is confirmed to have an abnormal warning.

4. The inspection and early warning method according to claim 3, characterized in that, The step of confirming whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information includes: If the inspection equipment enters the alarm area, it is confirmed that the inspection task has an alarm anomaly.

5. The inspection and early warning method according to any one of claims 2-4, characterized in that, If the inspection task experiences alarm anomalies and / or warning anomalies, the method further includes: Control the inspection equipment to record inspection videos and / or capture images; Upload the video and / or image to the server to generate an abnormal event that is associated with the inspection task.

6. The inspection and early warning method according to any one of claims 5, characterized in that, If the inspection task is abnormal, an error message will be triggered. The method further includes: If an abnormality is detected during the inspection task, the inspection equipment will be controlled to issue an early warning. If an alarm or abnormality occurs during the inspection task, the inspection equipment will be controlled to issue an alarm notification.

7. The inspection and early warning method according to any one of claims 5, characterized in that, The method further includes: An optimized lighting scheme is generated based on the abnormal events of the inspection task.

8. An inspection and early warning device, characterized in that, include: The task initiation module is used to initiate preset inspection tasks; The fence acquisition module is used to acquire fence information related to the inspection task; An anomaly detection module is used to determine whether the inspection task is abnormal based on the real-time positioning data of the inspection equipment and the fence information. An error notification module is used to control the inspection equipment to issue an error notification when the inspection task is abnormal.

9. An inspection system, characterized in that, include: Positioning module; One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the inspection and early warning method as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the inspection and early warning method as described in any one of claims 1-7.

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