Method and system for detecting environment lighting condition

Abstract

The invention provides a method and a system for detecting environment lighting conditions. The method comprises the steps that firstly, an informatization management system issues a target detection task to a robot, the target detection task is any detection task configured in the informatization management system, and the detection task comprises execution time, positioning information of one or more detection points and detection parameters of each detection point; the detection parameters comprise the number of illuminance data needing to be detected and the collection position of each piece of illuminance data; then the robot executes the target detection task, which comprises the following steps: responding to the execution time of reaching the target detection task, and sequentially going to each detection point based on the positioning information of all the detection points in the target detection task; after reaching each detection point in the target detection task, acquiring illumination data according to the detection parameters of the detection point to obtain an illumination data set of the detection point; and uploading the illumination data set of each detection point to an informatization management system.

Description

Technical Field

[0001] This invention relates to the field of physical protection, particularly in the field of nuclear industry physical protection, and specifically to a method and system for detecting environmental lighting conditions. Background Technology

[0002] In areas with physical protection requirements, such as nuclear power plants and nuclear facilities, lighting systems provide assurance for monitoring, threat assessment, and response to intrusion threats. According to relevant standards and specifications, specific requirements for lighting parameters such as illuminance and uniformity are clearly defined for controlled areas, protected areas, critical areas, entrances / exits, and indoor areas. Furthermore, regulatory agencies require daily monitoring, monthly functional testing, quarterly effectiveness assessments, and long-term retention of relevant testing data. Failure to meet effectiveness assessment standards will affect the acquisition or maintenance of nuclear facility / nuclear power plant licenses. Relying on manual labor to complete numerous, frequent, highly accurate, and complex testing tasks would undoubtedly present enormous challenges and is essentially impossible. Summary of the Invention

[0003] In view of this, the present invention provides a method and system for detecting ambient lighting conditions, so as to at least partially solve the above-mentioned problems.

[0004] A first aspect of this invention provides a method for detecting ambient lighting conditions. The method includes: an information management system issuing a target detection task to a robot, the target detection task being any detection task configured in the information management system, wherein the detection task includes an execution time, location information of one or more detection points, and detection parameters for each detection point, the detection parameters including the number of illuminance data points to be detected and the collection location of each illuminance data point; and the robot executing the target detection task. The robot executing the target detection task includes: in response to reaching the execution time of the target detection task, sequentially proceeding to each detection point based on the location information of all detection points in the target detection task; collecting illuminance data according to the detection parameters of each detection point after reaching each detection point in the target detection task to obtain an illuminance dataset for that detection point; and uploading the illuminance dataset for each detection point to the information management system.

[0005] According to an embodiment of the present invention, after the robot performs the target detection task, the method further includes the information management system performing an effectiveness evaluation of the illuminance of each detection point based on the illuminance dataset of each detection point.

[0006] According to an embodiment of the present invention, the information management system performs an effectiveness evaluation of the illuminance of each detection point based on the illuminance dataset of each detection point, including: calculating the illuminance evaluation parameter value of each detection point based on the illuminance dataset of each detection point; obtaining the illuminance evaluation parameter threshold of each detection point based on the region to which each detection point belongs; and evaluating whether the effectiveness of each detection point meets the standard by comparing the illuminance evaluation parameter value and the illuminance evaluation parameter threshold of each detection point.

[0007] According to an embodiment of the present invention, uploading the illuminance dataset of each detection point to the information management system includes: detecting the quality parameters of the data transmission network between the data transmission network and the information management system before uploading the illuminance dataset; and uploading the illuminance dataset when it is determined that the quality parameters of the data transmission network meet preset conditions.

[0008] According to an embodiment of the present invention, uploading the illuminance dataset of each detection point to the information management system further includes: storing the illuminance dataset locally on the robot if it is determined that the quality parameters of the data transmission network do not meet the preset conditions; and uploading the illuminance dataset again if it is subsequently detected that the quality parameters of the data transmission network meet the preset conditions.

[0009] According to an embodiment of the present invention, the robot includes an inspection robot, a positioning and adjustment mechanism, and an illuminance meter. The robot performing the target detection task specifically includes: the inspection robot navigating to each detection point in the target detection task based on the positioning information of all detection points in the target detection task; after the inspection robot arrives at each detection point, controlling the positioning and adjustment mechanism to position the illuminance meter at the collection location of each illuminance data point according to the detection parameters of that detection point; collecting illuminance data using the illuminance meter after it is positioned; and transmitting the collected illuminance data back to the inspection robot.

[0010] According to an embodiment of the present invention, the robot further includes a data conversion gateway, wherein the illuminance meter transmitting the collected illuminance data back to the inspection robot includes: the illuminance meter transmitting the collected illuminance data to the data conversion gateway, and the data conversion gateway converting the illuminance data collected by the illuminance meter into a standard format according to the type of the illuminance meter before transmitting it to the inspection robot.

[0011] According to an embodiment of the present invention, the detection tasks configured in the information management system include timed detection tasks, wherein different timed detection tasks have the same or different detection cycles.

[0012] According to an embodiment of the present invention, the detection task configured in the information management system further includes a temporary detection task.

[0013] According to an embodiment of the present invention, the detection parameters at different detection points in the detection task may be the same or different.

[0014] A second aspect of the present invention provides a system for detecting ambient lighting conditions. The detection system includes an information management system and a robot, wherein the information management system and the robot are communicatively connected.

[0015] The information management system is configured to issue target detection tasks to the robot. The target detection task is any detection task configured in the information management system. The detection task includes execution time, positioning information of one or more detection points, and detection parameters for each detection point. The detection parameters include the number of illuminance data points to be detected and the acquisition location of each illuminance data point.

[0016] The robot is configured to perform the target detection task, including: in response to the execution time of the target detection task, sequentially proceeding to each detection point based on the positioning information of all detection points in the target detection task; after arriving at each detection point in the target detection task, collecting illuminance data according to the detection parameters of that detection point to obtain the illuminance dataset of that detection point; and uploading the illuminance dataset of each detection point to the information management system.

[0017] According to an embodiment of the present invention, the robot includes an inspection robot, a positioning and adjustment mechanism, and an illuminance meter. The positioning and adjustment mechanism is mounted on the inspection robot, and the illuminance meter is disposed on the positioning and adjustment mechanism. The inspection robot is configured to self-navigate to each detection point in the target detection task based on the positioning information of all detection points in the target detection task. The positioning and adjustment mechanism is configured to, after the inspection robot arrives at each detection point, position the illuminance meter at the collection location of each illuminance data point according to the detection parameters of that detection point. The illuminance meter is configured to, after being positioned, collect illuminance data and transmit the collected illuminance data back to the inspection robot.

[0018] According to an embodiment of the present invention, the robot further includes a data conversion gateway. The illuminance meter is further configured to transmit the collected illuminance data to the data conversion gateway; the data conversion gateway is further configured to convert the illuminance data transmitted by the illuminance meter into a standard format according to the type of the illuminance meter before transmitting it to the inspection robot.

[0019] According to an embodiment of the present invention, the positioning adjustment mechanism includes a lifting platform and a robotic arm. The lifting platform is mounted on the inspection robot, the robotic arm is connected to the lifting platform, and the illuminance meter is disposed on the robotic arm. Attached Figure Description

[0020] The above and other objects, features and advantages of the present invention will become more apparent from the following description of embodiments of the invention with reference to the accompanying drawings, in which:

[0021] Figure 1 The illustration schematically shows an application scenario of the method and system for detecting ambient lighting conditions according to an embodiment of the present invention;

[0022] Figure 2 A flowchart illustrating an embodiment of the method for detecting ambient lighting conditions according to the present invention is shown schematically.

[0023] Figure 3 A block diagram illustrating an environmental lighting detection system according to an embodiment of the present invention is shown.

[0024] Figure 4 The flowchart illustrating the configuration and management of testing tasks in an embodiment of the present invention is shown.

[0025] Figure 5 This illustration schematically shows a flowchart of a robot performing automated data acquisition in one embodiment of the present invention;

[0026] Figure 6 The flowchart illustrating the effectiveness of the information management system in evaluating the illuminance of a detection point is shown in one embodiment of the present invention. Detailed Implementation

[0027] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the invention. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of the invention for ease of explanation. However, it will be apparent that one or more embodiments may be practiced without these specific details. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concept of the invention.

[0028] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the invention. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0029] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0030] Figure 1 The illustration schematically shows an application scenario of the method and system for detecting ambient lighting conditions according to an embodiment of the present invention.

[0031] like Figure 1 As shown, the application scenario includes at least one robot 101, an information management system 102, and an inspection area 20.

[0032] Area 20 to be inspected is the area where the environmental lighting conditions need to be tested. It is the area covered by the physical protective lighting system, such as the plant area of ​​nuclear power plants and nuclear facilities.

[0033] The information management system 102 is configured with detection tasks. Each detection task includes an execution time, location information of one or more detection points, and detection parameters for each detection point. The detection parameters include the number of illuminance data points to be detected and the acquisition location of each illuminance data point. These detection points are all located in the inspection area 20.

[0034] The information management system 102 can issue specific detection tasks (also known as "target detection tasks") to the robot 101.

[0035] After receiving the target detection task, robot 101 can go to each detection point in the target detection task in sequence when the execution time of the target detection task arrives. For each detection point, it can collect illuminance data according to the number of illuminance data and the collection location required in the detection parameters. Then, it can upload the collected illuminance data to the information management system 102 for subsequent analysis and processing.

[0036] Combination Figure 1As can be seen, the inspection area 20 can be divided into different zones, such as zones A, B, C, and D. These different zones can have different attributes, such as control zones, protection zones, critical zones, and routine zones. Correspondingly, the requirements for environmental lighting in different zones can differ. For example, the illuminance compliance standards required for critical zones can be higher than those for other zones; for instance, higher illuminance or lighting uniformity is required at each inspection point; the inspection points within the area should be densely packed to minimize dark areas; a higher inspection frequency can be required to promptly identify and repair substandard inspection points; and the accuracy of illuminance data at each inspection point should be as high as possible, such as requiring comprehensive illuminance data collection at each inspection point to maximize accuracy. Compared to critical zones, the illuminance compliance standards for routine zones can be much more lenient. For example, the illuminance or lighting uniformity at each inspection point can be appropriately lower, the distribution of inspection points within the area can be sparser, the inspection frequency can be lower, and the accuracy requirements for illuminance data at each inspection point can be appropriately reduced.

[0037] The comparison between the critical areas and the regular areas above shows that the illuminance compliance standards can differ for different areas within the 20 areas to be inspected. This translates to significant differences in specific inspection execution levels, such as inspection frequency, distribution of inspection points, and the amount of illuminance data collected at each inspection point. Furthermore, the inspection frequency, the amount of illuminance data collected, and the location of the data collected can also vary between different inspection points within the same area. For example, inspection points in the critical area where critical items are placed may require more illuminance data collection, while other inspection points may require less data collection.

[0038] It is evident that when there are numerous detection points in the area to be inspected (20), it becomes quite complex to implement targeted illuminance detection based on the specific circumstances of each detection point (such as the attributes of the area, the presence of critical items, etc.). Manually achieving this level of detection is virtually impossible; it is not only time-consuming and labor-intensive but also prone to errors. Furthermore, it is difficult to guarantee timely detection for areas or points requiring high-frequency inspections. For detection points with high accuracy requirements, it is also virtually impossible to ensure that the illuminance data obtained for each inspection is acquired at the same sampling location (such as height and orientation).

[0039] Compared to manual methods, the environmental lighting detection method and system of this invention can perform targeted illuminance detection based on the specific conditions of each detection point (such as the attributes of the area, the presence of key items, etc.) when there are many detection points in the area to be inspected 20. Moreover, the more detection points there are in the area to be inspected, and the more diverse and complex the requirements of the detection points, the more prominent the superiority of the environmental lighting detection method and system of this invention becomes.

[0040] Specifically, according to an embodiment of the present invention, a map of the area to be inspected 20 can be configured in the information management system 102, and each inspection point can be marked on the map to obtain the location information of each inspection point.

[0041] Next, detection tasks can be configured in the information management system 102. In one embodiment, a detection plan can be configured for each detection point in the information management system 102, such as detection frequency, detection time, and detection accuracy requirements (e.g., the number of illuminance data points to be collected each time and the collection location), or a batch of detection plans can be configured for detection points with the same characteristics. Then, corresponding detection tasks are generated according to the detection plan, such as generating detection points with the same detection frequency and detection time and located in the same area into one detection task. In other embodiments, configuration can also be performed directly in the information management system 102 based on the dimension of the detection task, such as configuring each detection task to set the execution time and detection frequency, and then including detection points that are detected according to the same detection frequency and execution time into the detection task.

[0042] After the detection task is configured in the information management system 102, it can be sent to the robot 101 before the task is executed. The robot 101 will then proceed to each detection point to detect the illuminance data according to the execution time of the detection task. Once the robot 101 arrives at each detection point, it can perform accurate detection based on the number of illuminance data points and the collection location configured in the detection task.

[0043] The detection tasks configured in the information management system 102 can be scheduled detection tasks (such as those executed at a specific time each day or month) or temporary detection tasks (executed only once). The detection cycles of different scheduled detection tasks may be the same or different, thus allowing for flexible collection of environmental lighting conditions based on scheduled detection tasks with various cycles.

[0044] According to an embodiment of the present invention, for a timed detection task, once configured, as long as no changes or modifications are made in between, the number of illuminance data collected at the same detection point and the collection location can remain consistent, thereby ensuring the accuracy of different detections at the same detection point.

[0045] Furthermore, according to embodiments of the present invention, the number of illuminance data points to be collected at different detection points in each detection task and their collection locations can be the same or different. Thus, even for the same detection task, the robot 101 can perform targeted detection based on the conditions of each detection point when detecting different detection points.

[0046] As can be seen, embodiments of the present invention can achieve efficient and targeted detection of the ambient lighting conditions in the area covered by the physical protective lighting system without relying on personnel operating the equipment and recording data.

[0047] The following will combine Figure 1 The present invention provides a detailed description of the method and system for detecting ambient lighting conditions in various application scenarios.

[0048] Figure 2 A flowchart illustrating an embodiment of the present invention is shown.

[0049] like Figure 2 As shown, the detection method according to this embodiment may include steps S210 to S240.

[0050] In step S210, the information management system 102 sends a target detection task to the robot 101. The target detection task is any detection task configured in the information management system 102. The detection task includes the execution time, the positioning information of one or more detection points, and the detection parameters of each detection point. The detection parameters include the number of illuminance data to be detected and the collection location of each illuminance data.

[0051] The location information of each detection point can be represented by its coordinate position in the area to be inspected 20, for example.

[0052] The detection parameters for each detection point specify how many illuminance data points to collect at each point and from which sampling location each illuminance data point is detected. In this embodiment of the invention, after the robot 101 arrives at the detection point, it can detect illuminance data from one or more sampling locations according to the detection parameters, such as from different heights and / or different orientations. For example, after arriving at the detection point, the robot 101 can adjust the height of its carried illuminance meter to detect illuminance at different heights at the detection point. Another example is that the robot 101 can turn to different orientations for detection. Yet another example is that, with the detection point as the center, several sampling locations can be selected within a preset light source radius (such as within the reachable length of the robot 101's robotic arm) to detect illuminance data.

[0053] Next, robot 101 will perform the target detection task, specifically including steps S220 to S240.

[0054] In step S220, in response to the execution time of the target detection task, the robot 101 sequentially proceeds to each detection point based on the positioning information of all detection points in the target detection task.

[0055] In step S230, after arriving at each detection point in the target detection task, the robot 101 collects illuminance data according to the detection parameters of that detection point to obtain the illuminance dataset of that detection point.

[0056] In step S240, robot 101 uploads the illuminance dataset for each detection point to information management system 102. For example, information such as the detection time, illuminance dataset, and task code for each detection point can be uploaded to information management system 102 together.

[0057] Furthermore, according to some embodiments of the present invention, after step S240, the information management system 102 can also perform an effectiveness evaluation of the illuminance of each detection point based on the illuminance dataset of each detection point.

[0058] For example, the information management system 102 can calculate the illuminance evaluation parameter value (such as illuminance or lighting uniformity) of each detection point based on the illuminance dataset of each detection point, obtain the illuminance evaluation parameter threshold of each detection point based on the area to which each detection point belongs, and evaluate whether the effectiveness of each detection point meets the standard based on the comparison between the illuminance evaluation parameter value and the illuminance evaluation parameter threshold of each detection point.

[0059] For example, the corresponding illuminance compliance standard can be determined based on the attributes of the area to which each testing point belongs. This illuminance compliance standard includes corresponding illuminance assessment parameter thresholds. By comparing the illuminance assessment parameter value and the illuminance assessment parameter threshold for each testing point, it can be determined whether the lighting conditions at each testing point meet the illuminance compliance standard, thus enabling an effectiveness assessment of each testing point.

[0060] According to an embodiment of the present invention, the location information of detection points that fail to meet the effectiveness standards can also be output to prompt maintenance personnel to replace or repair them in a timely manner.

[0061] To ensure the integrity of the illuminance dataset uploaded to the information management system 102, the robot 101 can first check the quality parameters (such as packet loss rate, jitter rate, etc.) of the data transmission network between itself and the information management system 102 before uploading the illuminance dataset for each detection point to the information management system 102. If the quality parameters of the data transmission network meet the preset conditions, the illuminance dataset is uploaded. If the quality parameters of the data transmission network do not meet the preset conditions, the illuminance dataset is first stored locally on the robot 101, and then uploaded again when the quality parameters of the data transmission network subsequently meet the preset conditions. The preset conditions can be based on thresholds of the aforementioned quality parameters, for example, thresholds for packet loss rate or jitter rate, or a combination of thresholds for different parameters. This embodiment of the invention can determine whether the quality of the data transmission network can guarantee the data transmission integrity requirements by checking whether the quality parameters of the data transmission network meet the preset conditions. Specifically, when the quality parameters of the data transmission network meet the preset conditions, it is determined that the quality of the data transmission network can guarantee the data transmission integrity requirements, and the data is then uploaded to the information management platform, thereby ensuring that the collected data can be transmitted completely without data loss.

[0062] Figure 3 A block diagram of an ambient lighting detection system according to an embodiment of the present invention is shown schematically.

[0063] like Figure 3 As shown, the ambient lighting detection system according to an embodiment of the present invention may include a robot 101 and an information management system 102, wherein the robot 101 and the information management system 102 are connected in communication via a data transmission network 108.

[0064] Robot 101 is responsible for receiving target detection tasks issued by the information management system 102. According to the requirements of the target detection task, it automatically collects, stores and uploads the lighting data of each detection point configured in the task, thereby realizing automated data collection.

[0065] The robot 101 may include an inspection robot 103, a positioning adjustment mechanism 104, and an illuminance meter 105. The positioning adjustment mechanism 104 is mounted on the inspection robot 103, and the illuminance meter 105 is disposed on the positioning adjustment mechanism 104. The positioning adjustment mechanism 104 is used to adjust the height and orientation of the illuminance meter 105.

[0066] The inspection robot 103 navigates to each detection point in the target detection task based on the positioning information of all detection points. The inspection robot 103 may have navigation and positioning functions, or Simultaneous Localization and Mapping (SLAM) self-navigation functions using multiple video cameras. The inspection robot 103 can locate the adjustment mechanism 104 and the illuminance meter 105, etc., and travels to each detection point according to a preset route, and is responsible for supplying power to the illuminance meter 105 and the positioning adjustment mechanism 104, etc.

[0067] After the inspection robot 103 arrives at each detection point, the positioning adjustment mechanism 104 positions the illuminance meter 105 to the corresponding data collection position according to the detection parameters of that detection point. After being positioned, the illuminance meter 105 collects illuminance data and transmits the collected illuminance data back to the inspection robot 103.

[0068] To meet the transmission requirements of data collected by different types of illuminance meters, robot 101 may also include a data conversion gateway 106. Illuminance meter 105 can first transmit the collected illuminance data to data conversion gateway 106, which then converts the illuminance data transmitted by illuminance meter 105 into a standard format according to the type of illuminance meter 105 before transmitting it to inspection robot 103. This simplifies the selection of illuminance meter 105 in robot 101, eliminating the requirement that the data from illuminance meter 105 be limited to certain specific transmission formats.

[0069] The data conversion gateway 106 receives illuminance data output from the illuminance meter 105 and converts it into a standard format (such as USB or Ethernet format data) before outputting it to the embedded system of the inspection robot 103. The data conversion gateway 106 can also be powered by the inspection robot 103.

[0070] In one embodiment, the positioning adjustment mechanism 104 includes a lifting platform and a robotic arm. The lifting platform is mounted on the inspection robot 103, and the robotic arm is connected to the lifting platform. The illuminance meter 205 is mounted on the robotic arm. For example, when the inspection robot 103 arrives at the detection point, the lifting platform can automatically rise to the height (e.g., 1.5 meters) of each collection point according to the detection parameters. Then, based on the orientation or specific coordinates of each collection point, the illuminance meter is positioned at that collection point by rotation or extension / retraction of the robotic arm. After the illuminance meter 105 is positioned (e.g., when the illuminance meter 105 is detected to be stationary or the robotic arm holding the illuminance meter 105 is detected to be stationary), the illuminance data is detected in real time and output to the data conversion gateway 106.

[0071] Furthermore, the robot 101 may also include a first interface module 107. The first interface module 107 can communicate with the data transmission network 108, and can upload the codes, detection times, illuminance datasets, task codes, etc., of each detection point packaged by the embedded system of the inspection robot 103 to the information management system 102 via the data transmission network 108. The first interface module 107 can support network quality detection, such as detecting the quality parameters of the data transmission network 108 (e.g., packet loss rate, jitter rate, etc.), and evaluating the network quality based on the quality parameters. When the network quality is poor or there is no network, the collected data is first stored locally, and then transmitted after the network quality meets the requirements to ensure data integrity.

[0072] According to an embodiment of the present invention, after receiving a target detection task, the inspection robot 103 can carry the illuminance meter 105 and travel to each detection point according to the task plan. Upon reaching each detection point, the robot can use a lifting platform and a robotic arm to position the illuminance meter 105 at the required detection height and orientation (e.g., multiple collection positions within the light source range of the detection point). Then, the illuminance meter 105 collects illuminance data and can transmit the illuminance dataset of the detection point back to the inspection robot 103 through the data conversion gateway 106. After receiving and storing the illuminance dataset, the inspection robot 103 can first detect the quality parameters of the data transmission network 108 to evaluate the quality of the data transmission network 108. When the network quality meets the requirements, real-time data upload is performed. If the evaluation determines that the network quality of the data transmission network 108 does not meet the requirements or there is no network environment, the data is saved first, and the collected data is uploaded after the task is completed and the robot returns to the charging position.

[0073] The data transmission network 108 connects one or more robots 101 and the information management system 102, enabling the distribution of various detection tasks from the information management system 102 and the uploading of illuminance datasets from each detection point by the robots 101. The data transmission network 108 supports encrypted data transmission. Of course, the data transmission network 108 does not need to cover all detection point locations; it only needs to meet the minimum network coverage requirements for the charging stations of the inspection robots 103.

[0074] The information management system 102 is responsible for formulating inspection plans and generating scheduled inspection tasks (such as daily, monthly, or quarterly tasks). It can also generate temporary inspection tasks as needed and can issue inspection tasks (target inspection tasks) to the robot 101 through the data transmission network 108. The information management system 102 can also receive the inspection data uploaded by the robot 101 after completing the inspection task, and can perform an effectiveness assessment of the lighting system based on the inspection data. If there are unqualified inspection points, it will indicate the information of the unqualified inspection points, generate maintenance tasks, and push them to the maintenance personnel's workbench. It can also record information such as the issuance of inspection tasks, the effectiveness assessment of inspection points, maintenance pushes, and maintenance results, and generate daily, monthly, and quarterly inspection reports.

[0075] The information management system 102 may include a second interface module 109, a task management module 110, a map module 111, a data processing module 112, a configuration management module 113, and a data acquisition device management module 114.

[0076] The second interface module 109 is responsible for connecting the data transmission network 108, sending detection tasks to the robot 101, receiving the illuminance datasets of each detection point uploaded by the robot 101, and the actual collection location of each illuminance data in the illuminance dataset.

[0077] The task management module 110 supports creating detection plans and generating regular detection tasks according to the plans (such as daily detection tasks, monthly detection tasks, or quarterly detection tasks), while also allowing the creation of temporary detection tasks under specific conditions (such as foggy days, windy days, or additional tests).

[0078] Map module 111 is used to manage the area map of the area to be inspected 20 (such as a nuclear power plant, nuclear facility, etc.). For example, the area map can be divided into control areas, protection areas, critical areas, and inspection points for the lighting system. In one embodiment, map module 111 can automatically generate inspection routes based on the location information of the inspection points in the inspection task, and can also convert the position coordinates in the lighting data uploaded by robot 101 into map coordinates and display them. After data processing module 112 evaluates the effectiveness of the illuminance of each inspection point, map module 111 can specially mark the inspection points that do not meet the effectiveness standards on the map, so that maintenance personnel can quickly locate and repair them.

[0079] The data processing module 112 processes the raw collected data uploaded by the robot 101, such as calculating the illuminance or lighting uniformity value of each detection point, and determining the corresponding illuminance compliance standard for the area where each detection point is located (e.g., whether it is a control zone, protection zone, or critical zone). Based on the illuminance compliance standard, the module evaluates the effectiveness of each detection point. The illuminance compliance standard may include a threshold or range of illuminance or lighting uniformity. The location information of detection points that do not meet the effectiveness standards (i.e., do not meet the requirements) is output to the map module 111 for processing and display. At the same time, maintenance tasks are generated and pushed to the maintenance personnel's workbench. The data processing module 112 can automatically generate daily, monthly, and quarterly inspection reports based on the data processing results, and can use a visual method to statistically analyze and display the inspection task results.

[0080] The configuration management module 113 is used to configure and manage information such as the area to be inspected 20, inspection point information, attributes of different areas, corresponding illuminance compliance standards, and report templates.

[0081] The data acquisition device management module 114 can manage multiple robots 101, including managing the code, operating status, power, interface IP, start / stop information of each robot 101.

[0082] Figure 4 The flowchart illustrating the configuration and management of detection tasks in an embodiment of the present invention is shown.

[0083] like Figure 4 As shown, the process of configuring and managing testing tasks in the information management system 102 may include steps S401 to S406.

[0084] Step S401: Configure the map of the area to be inspected 20, including the area division in the map, the attributes of each area, the illuminance compliance standards corresponding to each area or attribute, and the configuration information of each inspection point.

[0085] Step S402: Configure the detection plan, such as a daily, weekly, or quarterly scheduled detection plan, or a single detection plan.

[0086] Step S403: Determine whether a scheduled detection task should be generated according to the detection plan. If yes, then in step S404, automatically generate a scheduled detection task. If no, then add a temporary detection task in step S405.

[0087] Step S406: Issue the detection task. The task can be issued when the execution time for each detection task arrives, or within a preset time period before the execution time of the detection task. When issuing the detection task, the specific robot can be specified according to the code of robot 101.

[0088] Figure 5 The flowchart illustrating automated data acquisition by robot 101 in one embodiment of the present invention is shown.

[0089] like Figure 5 As shown, according to this embodiment, the process of robot 101 performing automated data acquisition may include steps S501 to S513.

[0090] Step S501: Receive information about the target detection task.

[0091] Step S502: Determine whether the execution time of the target detection task has been reached by polling. If yes, proceed to step S503; otherwise, continue polling.

[0092] Step S503: Navigate to the detection point in the target detection task according to the route.

[0093] Step S504: Obtain the location information and the identification code of the detection point.

[0094] Step S505: Determine if the target detection task's detection point has been reached. If not, continue to step S503. If yes, proceed to step S506.

[0095] Step S506: Adjust the positioning adjustment mechanism 104 to position the illuminance meter 105 to the collection position of each illuminance data in the current detection point.

[0096] In step S507, after the illuminance meter 105 is positioned, it is started to measure illuminance data. If there are multiple detection points that need to collect illuminance data, steps S506 and S507 are executed for each collection point.

[0097] Step S508: Determine whether the illuminance data of the current detection point has been collected. If yes, proceed to step S509; otherwise, repeat steps S506 and S507.

[0098] Step S509: Determine whether data has been collected from all detection points in the target detection task. If not, return to step S503 to proceed to the next detection point. If yes, proceed to step S510.

[0099] Step S510: Encode and package the collected data.

[0100] Step S511: Return to the charging position.

[0101] Step S512: Check if the network quality meets the requirements. If yes, proceed to step S513; otherwise, re-check the network quality when moving to the next charging station or to another location.

[0102] Step S513: Upload the data collected in the target detection task.

[0103] Figure 6 The flowchart illustrating the effectiveness of the information management system 102 in evaluating the illuminance of the detection points is shown in one embodiment of the present invention.

[0104] like Figure 6 As shown, the process of the information management system 102 to evaluate the effectiveness of the illuminance at the detection point may include steps S601 to S605.

[0105] Step S601: Receive the raw data uploaded by robot 101.

[0106] Step S602: Process the raw data and evaluate the effectiveness of the illuminance at each detection point. Specifically, calculate the illuminance and illumination uniformity values ​​for each detection point based on the illuminance dataset, and then compare them with the threshold values ​​of the illuminance evaluation parameters for each detection point to evaluate whether the effectiveness of each detection point meets the standards.

[0107] Step S603: Mark the detection points that do not meet the validity standards.

[0108] Step S604: Automatically generate an operation and maintenance task push workbench.

[0109] Step S605: Automatically generate a formatted report.

[0110] According to embodiments of the present invention, daily monitoring, monthly functional testing, and quarterly effectiveness assessment of the environmental lighting conditions in the area covered by the physical protective lighting system can be achieved without relying on personnel operating the equipment and recording data. It can automatically complete data collection and processing of a large number of monitoring points and can prompt timely repairs for monitoring points with substandard lighting.

[0111] In this embodiment of the invention, before the robot 101 uploads data to the information management system 102, it can automatically detect the network quality of the data transmission network. If the network quality meets the requirements, real-time transmission is used. If the requirements are not met, the data is stored locally and uploaded after returning to an area with good network quality. This does not require the data transmission network to cover all detection points, so it can be used even in environments with no network or weak network.

[0112] In this embodiment of the invention, the robot 101 can autonomously navigate or locate each detection point according to a pre-defined route. Upon reaching the detection point, a positioning adjustment mechanism (such as a lifting platform and a robotic arm) can be used to position the illuminance meter 105 at different sampling locations, solving the problem of differences in height, orientation, and distribution of sampling positions at different detection points, thus adapting to more complex detection requirements. Furthermore, the data conversion gateway 106 can meet the data transmission requirements of different types of illuminance meters, without being limited to certain specific transmission methods.

[0113] This invention can utilize an information system to automatically create testing tasks according to a plan and manage multiple robots 101 for automated data collection. The robots 101 complete data collection and storage according to task requirements, and finally upload the data via a data transmission network. The information management system 102 then processes the data, performs an effectiveness assessment, and adopts different processing methods based on the assessment results. This allows for the completion of regular or irregular inspections of numerous testing points in protective lighting systems such as nuclear facilities and nuclear power plants with minimal human intervention, meeting the complex effectiveness testing and evaluation requirements of standard protective lighting systems.

[0114] Those skilled in the art will understand that the features described in the various embodiments of the present invention can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in the present invention. In particular, the features described in the various embodiments of the present invention can be combined and / or combined in various ways without departing from the spirit and teachings of the present invention. All such combinations and / or combinations fall within the scope of the present invention.

[0115] The embodiments of the present invention have been described above. However, these embodiments are merely illustrative and not intended to limit the scope of the invention. Although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be used advantageously in combination. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of the invention, and all such substitutions and modifications should fall within the scope of the invention.

Claims

1. A method for detecting ambient lighting conditions, comprising: The information management system issues a target detection task to the robot. This target detection task can be any detection task configured within the information management system. The detection task includes an execution time, location information for one or more detection points, and detection parameters for each detection point. The detection parameters include the number of illuminance data points to be detected and the acquisition location of each illuminance data point. The robot performs the target detection task, including: In response to the execution time of the target detection task, proceed sequentially to each detection point based on the location information of all detection points in the target detection task; After reaching each detection point in the target detection task, illuminance data is collected according to the detection parameters of that detection point to obtain the illuminance dataset of that detection point. The illuminance dataset for each detection point is uploaded to the information management system.

2. The detection method according to claim 1, wherein, After the robot performs the target detection task, the method further includes: The information management system evaluates the effectiveness of the illuminance at each detection point based on the illuminance dataset for each detection point.

3. The detection method according to claim 2, wherein, The information management system performs an effectiveness evaluation of the illuminance at each detection point based on the illuminance dataset for each detection point, including: Calculate the illuminance evaluation parameter value for each detection point based on the illuminance dataset for each detection point; The threshold values ​​for illuminance evaluation parameters for each detection point are obtained based on the region to which each detection point belongs. The effectiveness of each detection point is evaluated by comparing the illuminance evaluation parameter value with the illuminance evaluation parameter threshold.

4. The detection method according to claim 1, wherein, Uploading the illuminance dataset for each detection point to the information management system includes: Before uploading the illuminance dataset, the quality parameters of the data transmission network between the system and the information management system are detected; and The illuminance dataset is uploaded after determining that the quality parameters of the data transmission network meet preset conditions.

5. The detection method according to claim 4, wherein, Uploading the illuminance dataset for each detection point to the information management system further includes: If the quality parameters of the data transmission network do not meet the preset conditions, the illumination dataset is stored locally on the robot; and The illuminance dataset will be uploaded only if the quality parameters of the data transmission network subsequently meet the preset conditions.

6. The detection method according to claim 1, wherein, The robot includes an inspection robot, a positioning and adjustment mechanism, and an illuminance meter. The robot performs the target detection task specifically including: The inspection robot navigates to each detection point in the target detection task based on the positioning information of all detection points in the target detection task; After the inspection robot arrives at each detection point, it controls the positioning adjustment mechanism to position the illuminance meter at the collection location of each illuminance data according to the detection parameters of that detection point. After the illuminance meter is positioned, illuminance data is collected using the illuminance meter; and The illuminance meter transmits the collected illuminance data back to the inspection robot.

7. The detection method according to claim 6, wherein, The robot also includes a data conversion gateway, wherein the illuminance meter transmits the collected illuminance data back to the inspection robot in the following ways: The illuminance meter transmits the collected illuminance data to the data conversion gateway. The data conversion gateway converts the illuminance data collected by the illuminance meter into a standard format according to the type of the illuminance meter and then transmits it to the inspection robot.

8. The detection method according to claim 1, wherein, The detection tasks configured in the information management system include timed detection tasks, wherein different timed detection tasks may have the same or different detection cycles.

9. The detection method according to claim 1, wherein, The detection tasks configured in the information management system also include temporary detection tasks.

10. The detection method according to claim 1, wherein, The detection parameters at different detection points in the detection task may be the same or different.

11. A system for detecting ambient lighting conditions, comprising an information management system and a robot, wherein, The information management system and the robot are connected in a communication manner, wherein... The information management system is configured to issue target detection tasks to the robot. The target detection task is any detection task configured in the information management system. The detection task includes execution time, positioning information of one or more detection points, and detection parameters for each detection point. The detection parameters include the number of illuminance data to be detected and the collection location of each illuminance data. The robot is configured to perform the target detection task, including: In response to the execution time of the target detection task, proceed sequentially to each detection point based on the location information of all detection points in the target detection task; After reaching each detection point in the target detection task, illuminance data is collected according to the detection parameters of that detection point to obtain the illuminance dataset of that detection point. The illuminance dataset for each detection point is uploaded to the information management system.

12. The detection system according to claim 11, wherein, The robot includes an inspection robot, a positioning and adjustment mechanism, and an illuminance meter. The positioning and adjustment mechanism is mounted on the inspection robot, and the illuminance meter is disposed on the positioning and adjustment mechanism. The inspection robot is configured to self-navigate to each detection point in the target detection task based on the positioning information of all detection points in the target detection task; The positioning adjustment mechanism is configured to: after the inspection robot arrives at each detection point, position the illuminance meter at the collection location of each illuminance data according to the detection parameters of that detection point; The illuminance meter is configured to collect illuminance data after being positioned and then transmit the collected illuminance data back to the inspection robot.

13. The detection system according to claim 12, wherein, The robot also includes a data conversion gateway, wherein, The illuminance meter is also configured to transmit the collected illuminance data to the data conversion gateway; The data conversion gateway is also configured to convert the illuminance data transmitted from the illuminance meter into a standard format according to the type of the illuminance meter before transmitting it to the inspection robot.

14. The detection system according to claim 12, wherein, The positioning and adjustment mechanism includes a lifting platform and a robotic arm. The lifting platform is mounted on the inspection robot, the robotic arm is connected to the lifting platform, and the illuminance meter is located on the robotic arm.

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