85 results about "Inspection time" patented technology

The invention provides an intelligent substation inspection method and system based on the Internet of Things, and the method comprises the steps: collecting a multi-mode perception data set, and constructing a real-time three-dimensional map of a substation; constructing a cross-modal generation type fault detection model, and extracting fusion features to obtain a diagnosis result; formulating an optimal inspection path and plan by using a double-layer reinforcement learning framework and an evolutionary algorithm; and executing inspection based on the map to obtain a result. According to the method, multi-source equipment data are fused through the bionic sensing network, and the complex fault recognition capability is improved in combination with the generative fault detection model; the real-time three-dimensional map is based on laser radar SLAM and UWB fusion positioning, and is dynamically updated by using an ICP algorithm, so that the static map problem is solved, and the collision risk is reduced; double-layer reinforcement learning and an evolutionary algorithm are combined to realize multi-objective collaborative optimization, so that high-efficiency routing inspection is guaranteed, energy consumption is reduced, and time is shortened; and a closed loop verification mechanism dynamically adjusts the strategy, so that the adaptive capacity of the system is enhanced, and the inspection accuracy, efficiency and flexibility are improved.

The invention belongs to the technical field of locomotive equipment maintenance, and provides an automatic inspection system and method for a locomotive cooling tower, and the method comprises the steps: obtaining the basic information of the locomotive cooling tower, planning an inspection path for an inspection machine, controlling the inspection machine to inspect along the inspection path, and collecting the visual information of the locomotive cooling tower, the method comprises the following steps: constructing a local three-dimensional grid map in real time, detecting obstacles, evaluating a collision risk between the obstacles and an inspection machine, if the collision risk is high, triggering the inspection machine to avoid obstacles, constructing a global three-dimensional grid map when the inspection machine completes an inspection path, and determining an inspection blind area under the global three-dimensional grid map. And judging whether the current inspection time period is ended or not, if not, triggering supplementary inspection, otherwise, planning an inspection path for the next inspection time period, and after the inspection time period is ended, performing anomaly detection and positioning on each part of the locomotive cooling tower based on visual information acquired by an inspection machine through a machine learning algorithm.

The invention discloses an unmanned aerial vehicle inspection system and method for an intelligent street lamp based on multi-source video fusion, and relates to the technical field of unmanned aerial vehicle inspection, and the system comprises an inspection data collection module, an inspection image analysis module, an inspection mode switching module and an inspection task dynamic evaluation module. The inspection data acquisition module, the inspection image analysis module, the inspection mode switching module and the inspection task dynamic evaluation module are in communication connection with one another; wherein the inspection data acquisition module is used for performing flight inspection on street lamps in a target inspection area one by one through an unmanned aerial vehicle with a visible light camera, and setting image calibration array points to match the accuracy of inspection image acquisition; the inspection image analysis module is used for processing and analyzing the acquired image data; according to the invention, the problem that the inspection time consumption and the data processing burden are greatly increased in the existing multi-source image fusion processing mode is solved.

Various surface and structural defects are currently inspected visually. This method is labor intensive, requiring large maintenance man hours, and is prone to errors. To streamline this process, herein is described an automated inspection system and apparatus based on several optical technologies that drastically reduces inspection time, provides accurate detection of defects, and provides a digital map of the location of defects. The technology uses a sensor that includes a plurality of light sources for emitting light on the structural surface, and a camera for detecting a shadow or an image shift of the structural surface feature. Furthermore, the technology utilizes an image processing and correction apparatus for performing a pattern image and structural surface defect map detection and generate a distortion corrected defect map for a surface scan area on the structure that is incident on the sensor.

The present invention discloses a parallel computing method and system for vector space data quality inspection, comprising the following steps: obtaining vector space data, and inspecting the vector space data according to a quality inspection scheme; extracting four types of quality inspection items from the vector space data that has passed the inspection according to a quality inspection item classification method to obtain four quality inspection item sets, and further decomposing the four quality inspection item sets to obtain a number of quality inspection sub-items corresponding to the four quality inspection item sets; assigning quality inspection tasks to the several quality inspection sub-items according to the fixed time step of the execution of a single quality inspection task and the type of quality inspection item set to generate quality inspection tasks; performing parallel quality inspection according to the assigned quality inspection tasks until all quality inspection tasks are completed. The beneficial effects of the present invention are: the time of quality inspection is greatly shortened under the premise of ensuring the correctness of the quality inspection results, and the efficiency of vector space data quality inspection is improved.

The invention relates to the technical field of intelligent construction sites, in particular to an intelligent inspection method, device and system for an intelligent construction site based on a space-time diagram convolutional network, and a storage medium, and the method comprises the steps: installing video collection equipment at a construction site, and carrying out the image data collection of construction activities, equipment and stockpile of each region of the construction site; modeling the constructor behavior prediction model, and predicting the flow trend and density of constructors in each region by integrating the construction site construction layout and construction information; processing the acquired image information of each construction area by using an image recognition technology, and recognizing the type, density and related distribution position of equipment; the construction site environment information is fused, the estimated inspection time of each construction area is evaluated, and the relation between the construction equipment density and the inspection time is analyzed; and determining the guarantee range of the spare part maintenance points according to the analysis result of the construction equipment, and adjusting and optimizing the number distribution of the spare part maintenance points according to the utilization efficiency of the existing spare part maintenance points, the flow of construction personnel and the area of the construction region. A reinforcement learning technology is used to optimize inspection roads of inspection personnel, and based on construction personnel flow trend prediction and construction equipment quantity analysis, routing inspection is arranged preferentially in a route of high-utilization-rate equipment and a time period with less construction operation, so that fault hidden dangers are found in time, and the influence on normal construction operation is reduced; and the execution condition of the inspection task is monitored in real time, and the inspection efficiency and the fault risk early warning level are evaluated in combination with the condition fed back by the inspection personnel.

The invention discloses an electric power intelligent inspection method and system, relates to the technical field of electric power inspection, and solves the technical problems that the inspection route is unreasonable and the inspection time and cost are increased due to the lack of a scientific and systematic method when the inspection route is planned. According to the method, the fault record in the historical inspection data is analyzed in detail, the equipment abnormal value of the inspection equipment is calculated, the risk equipment and the normal equipment are classified according to the preset comparison value, the potential risk equipment can be identified more accurately based on the data driving method, maintenance measures can be taken in advance, and the maintenance efficiency is improved. The routing inspection starting point, the routing inspection terminal point and the distribution condition of the risk equipment are comprehensively considered, the shortest routing inspection path is determined firstly, then insertion analysis is performed on the risk equipment not on the target path, the path optimization sequence is reasonably arranged according to the number of the risk equipment on the two sides of the path point, the total length of the routing inspection path can be reduced, and the routing inspection efficiency is improved. And meanwhile, the risk equipment can be inspected in time.

The invention relates to the field of data processing, in particular to an intelligent routing inspection management method and system, when a routing inspection user performs routing inspection, reference information constructed in advance is provided for routing inspection personnel for reference, so that the routing inspection personnel can know the reference range and routing inspection time of each routing inspection point location of each routing inspection item. And the inspection personnel unfamiliar with the project can be helped to quickly know the inspection project. Besides, the priority of each inspection point location is determined by utilizing environmental parameters acquired by a sensor arranged on a construction site project in real time and real-time positioning of the inspection personnel, and when the inspection personnel execute an inspection task, the priority and reference information are utilized to guide and supervise the inspection personnel. The inspection process of the inspector can be effectively guided, supervised and managed, and the inspector is helped to improve the inspection efficiency and the inspection quality.

Disclosed is an IoT system for smart gas inspection supervision and distribution, comprising: a public user platform, a citizen cloud service platform, a government gas supervision management platform, a government gas supervision sensor network platform, a government gas supervision object platform, a gas company sensor network platform, and a gas equipment object platform. The government gas supervision management platform is configured to obtain an inspection route; determine a plurality of inspection sub-routes; generate a calling instruction; generate an acquisition instruction and send the acquisition instruction to the gas equipment object platform; determine an inspection type parameter of the inspection sub-routes; divide the inspection sub-routes into three categories of objects to be inspected, and determine candidate assignment parameters of the three categories of objects to be inspected; determine predicted inspection time; determine an inspection assignment parameter; generate an inspection instruction and send the inspection instruction to the gas equipment object platform.

The invention provides a machine room inspection quality evaluation method, device and equipment and a storage medium, and the method comprises the steps: recording the inspection time consumption of an inspector in each cabinet, determining the inspection timeout rate according to the inspection time consumption, detecting the abnormal behavior information under the condition that the cabinet door of the cabinet is opened, and determining the inspection timeout rate according to the inspection timeout rate. Determining an abnormal behavior rate according to the abnormal behavior information, determining fault information of the cabinet after inspection is finished, determining an equipment fault rate according to the fault information, and determining an inspection quality score according to an inspection timeout rate, the abnormal behavior rate and the equipment fault rate; the inspection timeout rate, the abnormal behavior rate and the equipment failure rate are automatically determined, the inspection quality score is calculated, the machine room inspection quality evaluation can be effectively carried out, and the inspection efficiency and level of machine room inspection personnel can be supervised and improved.

The embodiment of the invention provides a tower cylinder bolt abnormity identification method and device. The method comprises the steps that an image acquisition device arranged on a tower cylinder inspection robot is used for acquiring a front image and a side image of each tower cylinder bolt; performing preprocessing operation on the front image and the side image to obtain a front image block corresponding to the front image and a side image block corresponding to the side image; performing abnormal region identification on the front image block and thread feature identification on the side image block respectively, and outputting identification results including an abnormal type, a quantization parameter and confidence respectively; performing grading processing on the recognition result according to the confidence coefficient in the recognition result, and outputting a judgment result; and the judgment result, the bolt ID and the inspection time are stored in an associated mode, and alarm information is output according to the judgment result and pushed to a manager terminal device. According to the invention, the safety and the detection efficiency of tower bolt inspection can be improved.

The invention discloses an intelligent inspection method for concrete appearance quality, and relates to the technical field of concrete appearance quality detection.The method comprises the following steps that the optimal inspection height is configured for intelligent inspection of an unmanned aerial vehicle based on the detection precision requirement and the detection efficiency requirement of voids and pitted surfaces; the unmanned aerial vehicle inspects the surface of the concrete structure according to the preset route and the set optimal inspection height, and the airborne high-resolution imaging system is used for continuously shooting the detection area. Through a dynamic inspection mechanism based on confidence score driving, the unmanned aerial vehicle can actively and adaptively adjust the inspection height and the inspection time when finding a suspected slight pitted surface, the image resolution and the defect feature detail expression capability are improved, the recognition capability of the convolutional neural network on the slight pitted surface and a dark honeycomb is enhanced, and the detection accuracy is improved. The defect omission ratio and the false detection rate in the inspection process are effectively reduced, and accurate, stable and efficient recognition of hidden defects such as slight pitted surfaces and deep honeycombs on the surface of the concrete structure is achieved.

This invention discloses a material inspection and monitoring method and device based on UWB positioning and multi-view linkage. The method includes: acquiring the sample number of the target material, wherein the target material is equipped with a UWB tag, and the UWB tag and the sample number correspond one-to-one; collecting the inspection time of the target material entering each inspection area according to the UWB tag, and constructing a time-location correlation matrix; and combining the time-location correlation matrix with a preset multi-view relationship model with the inspection area to form multi-view monitoring content, thereby completing the monitoring of the target material inspection process. By constructing a time-location correlation matrix and piecing together multi-view monitoring content, the monitoring of the target material inspection process is completed, providing a basis for rapid and accurate traceability of the target material inspection process afterward, while improving the level of material quality supervision and control, promoting quality inspection efficiency and effectiveness, and realizing full-process tracking and monitoring of the material inspection process.

The invention discloses a transformer substation and converter station equipment intelligent inspection method and system and terminal equipment, and belongs to the technical field of power system operation management. According to the method, equipment information of power transmission, power transformation and power distribution links is integrated by constructing a power transmission, power transformation and power distribution combined inspection model, and an intelligent terminal cluster is cooperatively scheduled to execute a cross-link combined inspection task; collecting visible light images, infrared thermal imaging data and operation state data of the equipment according to preset point positions, performing deep learning on the collected data, automatically identifying abnormal conditions including equipment appearance damage, meter reading deviation, internal and external heating and discharging of the equipment and foreign matter invasion, and obtaining inspection data; statistical analysis is carried out on the inspection data, a visual report containing inspection time, equipment states and defect information is generated, and historical data tracing and multi-source data association analysis are supported. Automatic and efficient inspection and intelligent identification analysis of the equipment are realized, the inspection efficiency and accuracy are improved, and the method is suitable for operation and maintenance management of large-scale complex power grid equipment.

The invention relates to the Internet of Things video analysis technology, in particular to an intelligent construction site remote monitoring system based on the Internet of Things, which is characterized in that firstly, a risk point location analysis module is combined with historical fault data to intelligently analyze the risk index of each region, and then a data acquisition module is used for collecting personnel information and video monitoring data; the video analysis module analyzes the video monitoring data and records the troubleshooting time of the staff in each region, and the evaluation accuracy analysis module adjusts the corresponding standard troubleshooting time in combination with the regional risk index. And the evaluation accuracy of the working personnel on the target area is calculated by considering the influence of the working experience of the working personnel on the troubleshooting accuracy, so that a more objective and accurate evaluation result is obtained. The warning module can give an alarm in time when it is found that the evaluation accuracy is insufficient according to a set accuracy threshold value, so that correction measures are taken in time when the evaluation accuracy of workers is insufficient, and the safety management level of the construction site is greatly improved.

The utility model provides an inspection well elevation inspection device which comprises a ruler and two movable clamping bases, the two movable clamping bases clamp the two ends of the ruler respectively, and the two ends of the ruler can move up and down in the movable clamping bases. The beneficial effects of the utility model are that through presetting the height of the horizontal ruler, the detection of the construction elevation of the inspection well can be rapidly completed, whether the construction qualified condition is satisfied or not can be timely confirmed, the detection time after construction is greatly shortened, the project progress is improved, and all measurement processes can be completed by one person. The device is light in structural design and convenient to carry and move, so that the measurement process is more flexible and efficient, and the labor cost and the time cost are greatly reduced.

The invention discloses a knowledge recheck method, equipment, a storage medium and a device. Task execution parameters are configured based on an inspection mode corresponding to a knowledge reinspection task; calling a target inspection tool to execute inspection based on slice information and task execution parameters in a preset knowledge base, and obtaining an execution record; and performing problem positioning and slice tracing on the execution records to obtain knowledge optimization suggestions. Compared with the situation that real-time synchronization of knowledge and a valid system cannot be guaranteed through manual auditing, and the auditing efficiency is low, the method calls an inspection tool to execute inspection through slicing information and task execution parameters configured in a user-defined mode to achieve modular extraction and slicing of self-adaptive structured knowledge content, the data integrity is greatly improved, and the efficiency of the self-adaptive structured knowledge is improved. The inspection time is greatly shortened, and the inspection efficiency is improved.

The present invention relates to the technical field of fabric surface defect detection, and specifically discloses a machine vision-based fabric surface defect detection method and system. The method comprises analyzing the pilling characteristics of a fabric surface image to obtain the ratio of the number of abnormal areas, judging the fabric quality, and generating an unqualified signal and a suspected qualified signal; analyzing the abnormal marking results of the fabric surface areas to obtain a pilling trend value, determining the impact of fabric surface pilling on fabric surface defects, and generating a strong impact signal; and extracting all fabric samples with unqualified signals and strong impact signals within a test time, recording them as unqualified traceability samples and strong impact traceability samples, respectively. The present invention optimizes the fabric inspection time by determining the fabric optimal inspection time and the inspection time of fabric production equipment, and analyzing the fabric production inspection time. This not only improves the pertinence and efficiency of the inspection, but also helps to promptly discover and resolve problems in the production process, thereby ensuring the quality of the fabric.

The invention discloses an inspection control method based on a robot with a body and a related device. The method comprises the following steps: determining inspection boundaries of an open area and a non-open area; performing path planning on the plurality of inspection points in the to-be-inspected area according to the inspection boundary to obtain navigation information; if the robot with the body detects a first obstacle when moving according to the navigation information, executing a passing skill operation corresponding to an entering mode of the first obstacle in a skill library; determining the maintenance time of the passing state according to the leaving mode of the first obstacle and the inspection time demand; when it is detected that the robot with the body arrives at the target inspection point, activating a carried inspection device for inspection based on the inspection index of the target inspection point to obtain a first inspection result; performing visual analysis on the obtained inspection object image in the target inspection point to obtain a second inspection result; and generating an inspection report according to the first inspection result and the second inspection result. According to the invention, the inspection efficiency and the intelligent level of inspection are improved.

The present invention belongs to the technical field of electronic component reliability assessment, and discloses a component reliability assessment method and device, the method comprising: obtaining historical inspection data and production process parameters, reliability expectation values ​​and production process parameters of a batch to be assessed; statistically analyzing the historical inspection data to establish a product reliability baseline and failure rate statistical model parameters; using the baseline and expected values ​​to perform statistical estimation to obtain a production sample plan and a sampling plan; using the baseline after the associated parameters, the production process parameters of the batch to be assessed, the model parameters after the associated indicators and expected values ​​to perform statistical estimation and comparison, and determining a screening method and an inspection method; using a screening plan composed of a production sample plan and a screening method to assess screening reliability, obtain screening reliability data, and determine an inspection plan after comparing it with the product reliability baseline. The method uses historical data for component reliability assessment, improves data utilization, and reduces inspection time and expenses.

The invention discloses a metro vehicle bottom fastener looseness detection method based on target detection and image processing, which comprises the following steps: firstly, acquiring an image of a metro vehicle bottom fastener area, constructing a training set and a test set based on the image, constructing an improved YOLOv11 target detection model, training the model by using the training set, and detecting the looseness of the metro vehicle bottom fastener area. The method comprises the steps of training a target detection model, detecting fasteners in a fastener area of a subway vehicle bottom based on the trained target detection model, cutting to obtain a single fastener image, and finally detecting the extracted single fastener image to judge whether the fasteners are loosened or not. Compared with a traditional manual inspection mode, the scheme has the advantages that the inspection time is greatly shortened through a target detection technology and an image processing method, more vehicle bottom areas can be covered in shorter time, large-scale and frequent detection requirements are met, the influence of human factors can be eliminated, the stability and consistency of detection are improved, and the detection efficiency is improved. And the detection result is more reliable.

The invention discloses a method and system for enabling various special inspections in the construction industry based on a list, and relates to the field of building construction safety management.The method comprises the steps that a target inspection task uploaded by a first terminal is received, and inspection participating personnel, inspection time, a gathering place and an inspection type corresponding to the target inspection task are determined; determining a second terminal bound with the inspection personnel, and sending the target inspection task to the second terminal; sending an inspection list corresponding to the inspection type to the second terminal after the real-time time reaches the inspection time and it is determined that the second terminal is located at the gathering place; receiving a hidden danger rectification task uploaded by the second terminal, determining rectification acceptance personnel corresponding to the hidden danger rectification task, and sending the hidden danger rectification task to a third terminal bound with the rectification acceptance personnel; and after receiving an acceptance result uploaded by the third terminal, generating a special inspection report based on the target inspection task, the hidden danger rectification task and the acceptance result. By implementing the method, inspection personnel can be assisted to carry out various special inspections.

The present invention relates to the field of data processing, and specifically to a smart inspection management method and system. When an inspection user conducts an inspection, the pre-constructed reference information is provided to the inspection personnel for reference, so that the inspection personnel can understand the reference range and inspection time of each inspection point of each inspection item. This helps the inspection personnel who are not familiar with the project quickly understand the inspection project. In addition, the present application determines the priority of each inspection point by using the environmental parameters collected in real time by the sensors set on the construction site project and the real-time positioning of the inspection personnel. When the inspection personnel are performing the inspection task, the priority and reference information are used to guide and supervise the inspection personnel. The present application can effectively guide and supervise the inspection process of the inspection personnel, and help the inspection personnel improve the inspection efficiency and inspection quality.

The invention belongs to the technical field of railway operation and maintenance, and discloses an operation and maintenance equipment inspection data prediction method, system, equipment and medium, and the method comprises the steps: obtaining first historical inspection data of a detection item corresponding to operation and maintenance equipment; preprocessing the first historical inspection data of the detection item to obtain second historical inspection data related to inspection times; based on the second historical inspection data and an inspection data state transition model, determining state transition reference inspection data of the detection item; based on the second historical inspection data, the state transition reference inspection data and the state transition probability matrix, constructing a state transition probability prediction model; and predicting the current inspection data in the detection item by using the state transition probability prediction model to obtain the probability of transition of the current inspection data to the next state. According to the scheme of the invention, the inspection plan of a fixed shift can be converted into inspection according to the state, and the density of inspection work can be effectively reduced.

The present application relates to an intelligent inspection method, system, electronic device and medium for industrial production, which is applied to the field of industrial inspection technology. The method includes: obtaining equipment monitoring data and inspector information; performing fault prediction based on a fault prediction model and equipment monitoring data to obtain the equipment fault type and fault occurrence rate; correcting the fault occurrence rate of each device based on the fault occurrence rate and the association of the first device; dividing the equipment into the first device, the second device and the third device based on the fault occurrence rate; determining the inspection time of the second device based on the inspection cycle and historical inspection records; determining the inspection time of the third device based on the inspection cycle, historical inspection records and the first number; determining the inspection level of each device based on the pending tasks corresponding to the device, the fault type and the association of the second device; and determining the inspection plan based on the inspector information, the inspection level and the inspection time. The present application has the effect of improving the inspection efficiency.

The utility model discloses a microscope rotating tray device, which relates to the technical field of wafer detection and comprises an objective table, a base and an air guide column. A vacuum cavity is formed in the objective table; a plurality of adsorption holes communicated with the vacuum cavity are formed in the top surface of the objective table; the air guide column is perpendicular to the objective table, and the top of the air guide column is rotationally connected with the bottom of the objective table through a rotary joint; an air guide channel in the air guide column is connected and communicated with the vacuum cavity through a rotary joint; the air guide column is rotationally connected with the base, and the rotating center line of the air guide column is perpendicular to the rotating center line of the objective table. The objective table can realize transverse rotation adjustment and vertical rotation adjustment so as to adjust the inclined state; adjustment is simple, convenient and flexible, inspection time can be saved, and inspection efficiency is improved.

The application relates to the technical field of patrol path optimization, and discloses an intelligent recommendation system for an external stand pipe inspection path, which comprises the following: an inspection unit records facade positions, center heights and inspection operation modes; an evaluation unit performs risk assessment on each inspection unit according to historical defect information, stand pipe types and environmental exposure conditions, obtains an inspection unit risk level, and forms an inspection unit time window constraint; a processing unit constructs an inspection service graph; a recommendation unit determines a to-be-inspected unit, generates a candidate inspection path on the inspection service graph, combines the candidate inspection paths into multiple inspection task packages, performs resource scheduling in combination with skill information and available time information of an inspection team, and obtains an inspection path recommendation result corresponding to each inspection team. The application reduces the overall inspection time and the number of high-cost inspection operation mode switching times, and improves the external stand pipe inspection safety and operation and maintenance management efficiency.

The invention discloses universal clamping equipment for a three-coordinate measuring instrument, which is characterized by comprising a clamping seat and a plurality of clamping pieces, an adjusting mechanism is arranged between the clamping pieces and the clamping seat, the clamping pieces can rotate and stretch out and draw back through the adjusting mechanism, the end part of each clamping piece is provided with a clamping structure I, and a workpiece can be fixed through the clamping of the clamping structure I. The workpiece can be fixed through clamping of the first clamping structure, the workpiece can be clamped from different positions through cooperation of the multiple clamping pieces, the fixture can be universally used regardless of the shape of the workpiece, the fixture does not need to be replaced every time, a large amount of detection time is saved, and the detection efficiency is improved.

To provide a prism used in a visual inspection device, which is capable of performing visual inspection of the inner and outer circumferential sides of a ring-shaped object to be inspected such as an O-ring, while shortening the inspection time of the object to be inspected in the visual inspection device. [Solution] A prism 3 is formed with a mounting surface 3c for a test object 2, and a first reflecting surface 3d and a second reflecting surface 3e that reflect light incident from the mounting surface 3c. The first reflecting surface 3d and the second reflecting surface 3e are arranged below the mounting surface 3c and reflect the light incident from the mounting surface 3c upward. The first reflecting surface 3d and the second reflecting surface 3e are annular, and the second reflecting surface e is arranged on the outer periphery of the first reflecting surface 3d and concentrically with the first reflecting surface 3d. The first reflecting surface 3d is an inclined surface that slopes downward as it moves radially outward, and the second reflecting surface 3e is an inclined surface that slopes upward as it moves radially outward.

The utility model relates to driving plate type safety inspection equipment, which comprises a dial plate and a pointer, a pointer is arranged on the front surface of the dial plate, the first end of the pointer is rotationally connected with the center of the dial plate, and the other end of the pointer points to the patrol time period marking devices; according to the utility model, patrolling and patrolling time standard recording can be realized visually.