230results about "Checking time patrols" patented technology

The invention relates to a power equipment inspection method, device and equipment, a readable storage medium and a product, and relates to the technical field of power. Comprising the following steps: acquiring equipment image data, equipment temperature data and equipment type of to-be-inspected power equipment; performing external health analysis on the to-be-inspected power equipment based on the equipment image data to obtain external health state information of the to-be-inspected power equipment; performing internal health analysis on the to-be-inspected power equipment based on the equipment temperature data to obtain internal health state information of the to-be-inspected power equipment; performing priority analysis on the to-be-inspected power equipment based on the equipment type to obtain an inspection priority of the to-be-inspected power equipment; according to the external health state information, the internal health state information and the inspection priority, determining an inspection strategy of the to-be-inspected power equipment; and controlling the inspection robot to inspect the to-be-inspected power equipment according to the inspection strategy. The method can improve the inspection reliability of the power equipment.

The invention discloses an application method, system, equipment and medium of plant inspection navigation in a two-ticket intelligent management and control system based on AOA positioning, and belongs to the technical field of positioning navigation, and the application method comprises the following steps: setting a Bluetooth AOA transmitting base station and a Bluetooth AOA module positioning tag in an inspection area, carrying out signal interaction, and constructing an inspection space model; obtaining an interaction signal between the mobile Bluetooth transmitter and the Bluetooth AOA transmitting base station when an inspector carrying the mobile Bluetooth transmitter enters the inspection area, calculating the distance between the inspector and the Bluetooth AOA transmitting base station according to the signal intensity, and determining the real-time position of the inspector in the inspection space model; an inspection navigation route is generated according to the real-time position of the inspector, a preset inspection route and the work ticket information and the operation ticket information provided by the two-ticket intelligent management and control module; and when the inspector arrives at the inspection point and a preset card punching condition is satisfied, recording inspection card punching information and generating an inspection record. According to the invention, the inspection efficiency and safety are improved.

The invention provides an intelligent inspection management system in a hybrid expert mode under a cloud edge collaborative architecture, and relates to the technical field of data processing, the system is used for cutting basic inspection data into a plurality of section units according to a business time window, and combining record elements and node sequences in each section unit to obtain a combined data segment; constructing a track series sequence by taking the occurrence sequence of each record element as a reference, and converting the track series sequence into track matrix data; constructing node load data and calculating a process aggregation factor; screening out candidate sections in section combination data and constructing a section traffic matrix; calculating a process shunting factor; and determining process node data, and constructing an inspection service link according to the process node data. According to the invention, the problem of multiple circulation of error events in the process can be solved, and the uniqueness of the inspection task is ensured.

The invention relates to the technical field of substation inspection robots, and discloses an autonomous inspection method and system for a substation inspection robot. The method comprises the following steps: acquiring current environment parameters of a transformer substation and real-time state information of an inspection robot, and constructing an inspection environment model; analyzing historical inspection records, classifying historical inspection strategies into a plurality of experience levels, and establishing a multi-layer experience pool; according to a preset target inspection state in the inspection environment model, calculating an intelligent inspection strategy required for achieving the target inspection state; the intelligent inspection strategy and the experience inspection strategy are corrected in real time by adopting a dual-channel coordination mechanism to respond to the dynamic change of the transformer substation environment, and a final inspection strategy is generated; executing a control instruction based on the final inspection strategy, completing an inspection task and recording an actual inspection state; and comparing the deviation reason between the actual inspection state and the target inspection state, adjusting the experience content in the multilayer experience pool according to the deviation reason, and optimizing the experience data.

The invention discloses a fire-fighting equipment intelligent inspection method based on Internet of Things big data, and the method comprises the following steps: S1, collecting multi-source data, and outputting an original data set; s2, the original data set is preprocessed and fused, and a standardized operation state data sequence is generated; s3, through an FEDform model, extracting equipment state features and generating a health reference baseline; s4, executing offset detection, performance degradation and sensor drift judgment through a DeepSVDD model, and outputting an anomaly level and an anomaly type; s5, generating an inspection task, issuing a task instruction, and recording an inspection execution condition and feedback in real time; and S6, the inspection feedback data and the alarm result are transmitted back to the cloud, and an inspection report and an equipment health file are generated. Through the multi-source data fusion and deep learning technology, the intelligent level of fire-fighting equipment inspection is improved, and the accuracy and response efficiency of anomaly detection are enhanced.

The invention belongs to the technical field of nuclear power, and particularly relates to a nuclear industry uranium mine mining equipment inspection management system. According to the nuclear industry uranium mine mining equipment inspection management system provided by the invention, the inspection point configuration model taking the equipment assets as the core is constructed, and deep binding of the inspection task and the equipment ledger is realized. On the basis, the system can automatically generate a matched inspection plan according to key parameters such as the operation cycle and the inspection frequency of the equipment, and accurate compilation and standardized configuration of tasks are achieved. The generation of the inspection plan does not depend on artificial experience any more, artificial omissions and configuration errors are effectively reduced, the systematicness and normalization of task coverage are improved, timely inspection and high-frequency management and control of high-risk equipment are guaranteed, and the rigid requirement of the nuclear industry for high-reliability operation and maintenance management is met.

The invention discloses a switching station optical distribution equipment inspection method and system, and belongs to the technical field of electric power inspection. According to the invention, the to-be-inspected target switching station is determined through the real-time position of the inspector, so that the manual station searching time is effectively shortened; the appearance identification result, the indicating lamp identification result and the equipment model identification result of the optical distribution equipment are determined by identifying the image of the optical distribution equipment, so that the inspection deviation caused by manual inspection is reduced, and the missing inspection and false inspection of the optical distribution equipment are avoided; then, the inspection flow of the optical distribution equipment is determined according to the equipment model identification result, so that inspection personnel are guided to inspect the optical distribution equipment, the standardization and consistency of inspection of the optical distribution equipment are ensured, and low inspection efficiency caused by manual consulting of paper documents is avoided; and then an inspection report is generated, so that the integrity and specification of inspection data are ensured, and a basis is provided for long-term inspection of switching station optical distribution equipment. Therefore, the accuracy and efficiency of inspection of the optical distribution equipment of the switching station are improved.

According to the intelligent patrol method and device based on the cloud SOP dynamic plan and the data capitalization, a label authentication system is innovatively designed, and safe and reliable identity authentication is achieved through secret key dispersion and dynamic authentication. And a rule engine mechanism is constructed, and reasonable job management is established in combination with multi-dimensional features and conflict resolution. Urban fusion is introduced, and the effectiveness of collaboration is ensured through event processing and data sharing. According to the method, the defects of the traditional technology in the aspects of label authentication, rule engine, cross-domain collaboration and the like are effectively overcome, and technical guarantee is provided for intelligent patrol.

The invention relates to a bridge inspection method and system and a computer readable storage medium. The inspection method of the bridge comprises the following steps: receiving an inspection task, and driving the inspection device according to the inspection task, so that the inspection device travels along the running guide rail of the bridge; obtaining a sequence image of the bridge surface acquired by the image acquisition assembly; identifying the disease type of the bridge based on the sequence image; and determining geometric feature parameters corresponding to the disease type according to the disease type of the bridge, and determining the severity level of the disease type based on the geometric feature parameters. According to the bridge inspection method, automatic grading evaluation of bridge apparent diseases is facilitated, errors caused by manual judgment are reduced, and the accuracy degree of disease detection is improved.

The application discloses a kind of based on near field communication personnel position tracking underground water plant inspection maintenance record method, belong to water plant intelligent management technical field;For the low efficiency of artificial record in the existing underground water plant inspection, satellite positioning is invalid underground, data is difficult to trace and manage, the system includes mobile intelligent control terminal, regional information node deployed at equipment and central processing platform.Method includes: terminal near field reads equipment information in node to accurately position, and combined with multi-mode perception to ensure continuous positioning;Inspection personnel verify identity and enter maintenance data;Terminal uploads data packet associated with identity, location and inspection content to platform;Platform carries out data fusion, associated storage and analysis, realizes the real-time monitoring of inspection process, path traceability and intelligent early warning.The application realizes underground environment high-precision positioning and inspection record automation, improves data accuracy, traceability and water plant management efficiency.

This invention provides a method, apparatus, electronic device, and medium for monitoring terminal inspection, applied to an inspection system connected to multiple monitoring terminals to be inspected. The method includes: acquiring historical service traffic information and real-time network stability information of the inspection system; determining inspection configuration information for the multiple monitoring terminals based on the historical service traffic information and the real-time network stability information, the inspection configuration information including inspection concurrency and inspection time period; and performing inspection on the multiple monitoring terminals according to the inspection configuration information to generate monitoring data for the multiple monitoring terminals. This invention achieves automated generation of inspection configuration information during the inspection process, while improving the concurrency performance of the inspection system, increasing the number of concurrent inspections within a period, and improving inspection efficiency.

The invention discloses power inspection equipment and an inspection method, and relates to the technical field of power system equipment maintenance. The inspection module comprises a combined operating rod, the top of the combined operating rod is provided with a rotating unit, the rotating unit is connected with an acquisition unit, the acquisition unit is connected with a control unit and a transmission unit, the auxiliary unit comprises a bearing device, the bearing device is provided with a power supply unit, and the power supply unit is provided with a power supply line connected with the rotating unit and the acquisition unit. The inspection method comprises the steps of equipment preparation, acquisition and adjustment, data acquisition, data processing and transmission and the like. According to the invention, a worker can remotely collect and analyze the operation state data of the equipment in the transformer area on the ground. The inspection efficiency is improved, the labor intensity is reduced, the operation risk is reduced, the inspection work of the power distribution network equipment can be efficiently and safely carried out, the equipment operation state data can be timely and accurately acquired, and a reliable basis is provided for maintenance and management of the equipment, so that the stable operation of a power system is ensured.

The invention discloses an inspection method, device and equipment for an oil and gas exploitation system and a storage medium, and belongs to the technical field of oil and gas exploitation. The method comprises the steps that basic information associated with an inspection point is acquired, the inspection point comprises a to-be-inspected equipment assembly in the oil and gas exploitation system, and the basic information represents the association relationship between the inspection point and inspection equipment; generating first inspection information by using the basic information and the inspection task of the inspection point; performing conflict detection on the first inspection information, and optimizing the first inspection information based on a conflict detection result to obtain second inspection information; routing inspection is conducted on the routing inspection point based on the second routing inspection information, first routing inspection data and second routing inspection data are obtained, the first routing inspection data comprise routing inspection images collected by the image collection device, and the second routing inspection data comprise information collected by the device sensor; and generating an inspection result based on the first inspection data and the second inspection data. The method can improve the inspection accuracy and inspection efficiency of the oil and gas exploitation equipment in the oil and gas exploitation system.

The application discloses a kind of based on substation target detection clustering cluster waypoint automatic generation method, specifically relates to unmanned aerial vehicle inspection field, including establishing substation three-dimensional diagram, the RGB image of equipment needing to be detected is collected, the geometric center of each equipment on the plane is calculated using Graph-Detect3D, according to equipment type, orientation, the coordinate information of all equipment to be inspected target is obtained according to the geometric center of equipment, all equipment to be inspected target is numbered, the geometric center of equipment is clustered using density clustering algorithm DBSCAN, all equipment center geometric center in the same cluster is used as waypoint, and waypoint is generated according to the geometric center coordinates of each class, so the number of waypoints will not be redundant, will be just covered to each equipment, can collect the picture of all equipment of substation with least waypoint, reduce the redundancy of data collection.

The application discloses a kind of based on campus security's inspection and investigation system, belong to the field of campus security construction, including inspection point management module, security duty module, hidden danger management module, material management module, material inventory module and fault repair module, inspection point management module supports the configuration of the inspection point of each site of school by system, security duty module is to school security personnel for duty scheduling and patrol scheduling, hidden danger management module first time investigation and solve hidden danger after school staff discovers hidden danger in campus, material management module supports organization or school to realize management and data maintenance to material, material inventory module is checked and accounted to school inventory material, fault repair module discovers repair treatment process after material damage.This application development technology is easy to realize, with good flexibility, operability and scalability, realize the electronic informatization management of campus security, save time and effort, avoid waste time, guarantee the effect of campus safety.

The application provides a kind of based on mobile terminal's inspection track positioning analysis system, comprising: inspection track positioning module, for based on the mobile terminal equipment integrated with positioning module carried by inspection personnel, the inspection track positioning of inspection personnel is presented using geographic information system map;Electronic fence early warning module, for drawing electronic fence on the overlay layer of geographic information system map, the inspection track of inspection personnel is monitored using electronic fence;Inspection record generation module, for collecting audio and video data of inspection site through audio and video device on mobile terminal device, and sending to electronic work order management unit of monitoring platform, the generation, archiving and tracing of inspection record are realized using electronic work order management unit;Inspection record query module, for storing, querying and checking the inspection record of inspection personnel using intelligent internet of things cloud platform.The application carries out inspection track positioning based on mobile terminal, and convenient, accurate and fast positioning can be realized.

The application discloses a joint inspection method and device and a computer readable storage medium. The method comprises the following steps: receiving an inspection request, wherein the inspection request comprises a robot identifier, and the robot comprises a hydropower station robot and a transformer station robot; obtaining a corresponding common inspection algorithm according to the inspection request, and matching a corresponding individual inspection algorithm according to the robot identifier; combining the common inspection algorithm and the individual inspection algorithm to obtain a target inspection algorithm; calling a target robot corresponding to the robot identifier to execute the inspection request by using the target inspection algorithm; and through reuse of hydropower station robot and transformer station robot inspection algorithms, joint inspection and unified scheduling of the hydropower station robot and the transformer station robot are realized, the flexibility of controlling robot inspection is greatly improved, resource waste is greatly reduced, and therefore, the robot inspection service capability is improved.

The invention provides a granary inspection plan generation method, system and device and a storage medium, and relates to the technical field of inspection scheduling, and the method comprises the steps: generating a first inspection plan of each floor according to the features of each floor in a granary and the type of stored objects; adjusting the first inspection plan according to the risk coefficient in combination with the type, the storage duration and the risk coefficient, and generating a second inspection plan; and according to the environment information of each floor, generating an environment influence coefficient of each floor, adjusting the second inspection plan according to the environment influence coefficient, and generating a third inspection plan of each floor. The technical effects of the invention are that a reasonable inspection plan is made, and the inspection resources are reasonably distributed.

The invention provides a motorized field inspection system and method based on a digital command station and an inspection main body, and relates to the technical field of construction safety and quality inspection, and the motorized field inspection system comprises the digital command station and the inspection main body; the digital command station comprises inspection personnel, an instant messaging system, an integrated control system and an intelligent construction site system; the inspection main body comprises an inspection person wearing an intelligent safety helmet, an unmanned aerial vehicle and an inspection robot; the digital command station receives an inspection task through the intelligent construction site system and dispatches the inspection main body to execute the inspection task through the integrated control system; the inspection main body acquires various field data in the task execution process; and the management platform analyzes and processes the received data. By adopting the instant messaging system, the integrated control system, the intelligent inspection equipment and the intelligent construction site system, a comprehensive platform with multi-main-body cooperation, air-ground integration, real-time data processing and analysis and on-site instant messaging and commanding is created.

This invention discloses a method for inspecting the stability of open-pit mine slopes, an inspection device for inspecting the stability of open-pit mine slopes, an inspection equipment, and a computer-readable storage medium. When the inspection equipment arrives at the target monitoring point, the method first confirms the monitoring point through identity recognition and loads the historical measurement data of the monitoring point from the local cache. Then, displacement data, tilt data, location data, and image data are synchronously collected based on a unified timestamp to form raw data records. Next, the raw data records are preprocessed and compared with historical measurement data to calculate the deformation rate and change trend. Finally, the risk level is determined by matching the deformation rate and change trend with a preset graded early warning threshold, and the corresponding graded early warning and data upload operations are executed accordingly. This realizes real-time on-site monitoring and intelligent early warning of slope stability based on mobile inspection equipment.

The basic operation and maintenance scene AI inspection system of the present application comprises a device data acquisition and transmission module, a data processing and analysis module, a general inspection server and a client, the device data acquisition and transmission module, the data processing and analysis module and the client are connected with the general inspection server respectively, the device data acquisition and transmission module is used for collecting and recording the inspection data of the running device and transmitting the collected data to the data processing and analysis module, the data processing and analysis module is used for identifying the data and transmitting the relevant data to the general inspection server, the general inspection server is used for receiving and recording the data transmitted by the data processing and analysis module, comparing and analyzing the data, if the data exceeds the preset normal value range, the client is used to alarm the inspection personnel, the basic operation and maintenance scene AI inspection system of the present application can automatically inspect and monitor the device running data in real time, has the advantages of high data recording accuracy, timely problem discovery and the like, and solves the problems of high cost, low efficiency and high error rate of traditional manual inspection.

This invention relates to the technical field of deep integration of radio frequency identification (RFID) technology, indoor positioning technology, and intelligent algorithms. It discloses an RFID point-to-point positioning method and system that integrates inspection behavior characteristics. The method includes: within a single scanning cycle, using a mobile reading terminal to read multiple RFID tags and collect the identification information and multi-dimensional signal characteristics of each tag, including signal strength, TOA timestamp, and reading frequency; based on signal strength and reading frequency, eliminating invalid tags to obtain a candidate tag set; when the candidate tag set contains multiple tags, automatically determining a unique target tag from the multiple tags using a progressive judgment logic, where the inspection route information includes the order of each inspection node and its corresponding path weight; and outputting the physical location corresponding to the target tag as the current location. This invention fundamentally solves the technical problem of not being able to automatically distinguish valid locations when multiple tag signals conflict in traditional RFID tag-based positioning.

The invention relates to the technical field of computers, and provides an intelligent inspection method and device based on machine vision, and the method comprises the steps: carrying out the image collection of a visual section of a to-be-inspected line based on machine vision equipment, obtaining global image data, carrying out the line abnormal point recognition based on the global image data, and obtaining the abnormal point position information; constructing an abnormal point distribution relation based on the spatial proximity relation and the line physical connection relation between the line abnormal points obtained by analyzing the abnormal point position information; performing inspection path decision based on the first current inspection position of the inspection device and the abnormal point distribution relationship, and determining a target inspection path; and if it is detected that there is a newly added abnormal point in the inspection process of the inspection device along the target inspection path, updating the target inspection path based on the newly added abnormal point and the abnormal point distribution relationship to obtain an updated inspection path, and performing inspection along the updated inspection path. According to the embodiment of the invention, dynamic and efficient inspection operation is ensured.

The invention discloses an intelligent inspection method and system for mine gas, and belongs to the field of intelligent inspection. The method comprises the following steps: S1, presetting an inspection path, an inspection period and a positioning card number on an upper computer, establishing safe communication between an inspection instrument and the upper computer, and generating a task table; s2, a gas inspector carries an inspection instrument to read information of the positioning card for comparison and verification, timing is started, and the predicted arrival time of a next target point is dynamically calculated; s3, collecting underground air at a constant flow by an inspection instrument, and sequentially introducing multiple channels to analyze the gas concentration and perform temperature and humidity compensation; s4, the inspection time interval is judged, and a delay alarm is generated; s5, the built-in camera module shoots the environment and generates a digital signature; s6, the upper computer executes consistency verification and adaptive weighted fusion to generate a high-precision data set; s7, the two-dimensional simulation model visually displays an inspection point and an abnormal alarm; and S8, after data fusion is completed, cloud synchronization is carried out, a report and a supervision interface are generated, and real-time query and traceability are realized. The system has the beneficial effects that the inspection precision, the data reliability and the safety traceability are improved.

The embodiment of the invention provides an automatic inspection method and device for a wind power blade. The method comprises the steps that an unmanned aerial vehicle receives an inspection task which is issued by a central control system and carries geographic position data of a to-be-inspected fan; after the unmanned aerial vehicle arrives at the to-be-inspected fan according to the geographic position data of the to-be-inspected fan, dynamic self-adaptive inspection route planning is executed, and an exclusive inspection route for the to-be-inspected blade is generated; the unmanned aerial vehicle flies along the exclusive inspection route and synchronously performs multi-dimensional data acquisition on the to-be-inspected blade, and the unmanned aerial vehicle transmits the acquired data to the central control system through a communication module of the unmanned aerial vehicle base station; the central control system executes AI identification and analysis on the acquired data to generate a blade defect analysis result of the to-be-inspected blade; and the central control system triggers an abnormal alarm of a corresponding level according to the blade defect analysis result and executes alarm closed-loop management. The inspection efficiency can be improved while automatic inspection is realized.

The invention discloses intelligent inspection equipment for a long-distance coal conveying pipe belt conveyor, and relates to the technical field of inspection equipment, the intelligent inspection equipment comprises a slide rail and an equipment main body, two driving mechanisms are symmetrically arranged at the top of the equipment main body, an adjusting mechanism is arranged at the bottom of the equipment main body, and a charging mechanism is arranged at the top of the slide rail. A rack is arranged on one side of the sliding rail, a first cleaning mechanism is arranged between the two driving mechanisms, and a second cleaning mechanism is arranged on one side of the equipment body. The first cleaning mechanism synchronously works along with the driving mechanism, the cleaning sleeve slides back and forth along the sliding rail, dust on the surface of the sliding rail is removed in time, jamming and abrasion of the driving wheel and the guide wheel are avoided, and stable movement of the equipment body is ensured; the second cleaning mechanism drives a sponge wiper to vertically wipe lenses of the visible light camera module and the infrared thermal imaging module in a reciprocating mode through meshing transmission of a gear and a rack, dust attachment is prevented from affecting the monitoring precision, frequent manual maintenance is not needed, and the service life of equipment is prolonged.

The present application relates to model information processing technical field, especially a kind of equipment inspection method and system based on space intelligence, its method is provided with to generate inspection queue associated chain, when generating associated chain, periodically collect several operating data or several fault data of each equipment, and record according to collection period;According to the connection relationship of each equipment, the basic associated chain corresponding to each equipment is formed. Through the grouping of equipment, the associated equipment is synchronously inspected, which avoids the problem that the traditional inspection method cannot determine the equipment failure caused by system problems, at the same time, the equipment is associated by using merging semantics, which avoids the problem of missing equipment operation or equipment failure caused by subjective judgment, thereby effectively determining the mapping relationship between equipment entity and digital model system, at the same time, by using the above method, the inspection queue of equipment can be adjusted through the connection between equipment systems, thereby effectively improving the accuracy of building equipment inspection.

The embodiment of the present application discloses a river inspection method based on infrared and visible light intelligent identification, which comprises: sending a sensing measurement process establishment request message to an infrared thermal imaging monitoring terminal by a visible light monitoring terminal; after receiving the sensing measurement process establishment request message, the infrared thermal imaging monitoring terminal sends a sensing measurement process establishment response message to the visible light monitoring terminal to establish a sensing measurement process; after the sensing measurement process is successfully established, the visible light monitoring terminal and the infrared thermal imaging monitoring terminal execute the sensing measurement process according to the sensing measurement configuration parameters negotiated by both parties to form a measurement report; the measurement report is sent to a monitoring management platform; the monitoring management platform obtains a sensing result according to the measurement report, which is used to judge whether a person entering the monitoring area is detected. The river inspection method based on infrared and visible light intelligent identification can realize real-time inspection of each area of the river.

The invention provides a data center information machine room-oriented intelligent tour inspection method and system, and relates to the technical field of artificial intelligence and intelligent operation and maintenance, and the method comprises the steps: building a data center three-dimensional model based on a scanned power grid data center; building an interactive data center simulation system based on the data center three-dimensional model, and generating a cabinet number; based on a data center simulation system, generating a grid map and inspection task points in combination with an SLAM technology; performing one-to-one mapping on the cabinet numbers and the inspection task points, and setting an inspection sequence in combination with a preset rule; based on the grid map and the inspection sequence, path planning is carried out by using a reinforcement learning Q-Learning algorithm, and an optimal inspection path is generated; and driving the virtual inspection robots in the data center simulation system to complete preset inspection tasks in sequence through the inspection path. According to the technical scheme, all-directional and full-automatic inspection of the equipment in the machine room is realized.

The invention discloses an intelligent inspection method and system for a machine room and electronic equipment. The method is applied to a server, and comprises the following steps: receiving current position information and face verification data from a mobile terminal; if both the position verification and the identity authentication pass, pushing an inspection task list bound with the target machine room to the mobile terminal; receiving inspection data of the mobile terminal; in response to a patrol check-out request initiated by the mobile terminal, calculating the duration time of the patrol, and executing check-out confirmation after confirming that the duration time meets a preset minimum patrol duration constraint, so as to generate a closed-loop patrol record; accumulating closed-loop inspection records to form a historical inspection data set; extracting associated features according to the historical inspection data set; an inspection scheduling table is generated through a machine learning algorithm; and issuing the inspection scheduling table to a mobile terminal of a corresponding inspector, dynamically updating the associated features, and iteratively optimizing the scheduling model. According to the invention, the authenticity, normalization and result credibility of machine room inspection work can be ensured.