335 results about "Site management" patented technology

The invention relates to the technical field of the Internet of Things, in particular to an intelligent construction site management method and system based on the Internet of Things. The method comprises the following steps: acquiring construction site environment monitoring data in real time based on multiple Internet of Things sensor nodes; performing real-time environment state change mining on the construction site environment monitoring data, performing global environment perception modeling, and constructing a construction site digital environment perception map; obtaining a construction site omnibearing monitoring video and construction site construction equipment state monitoring data; carrying out target dynamic optical flow tracking on the omnibearing monitoring video of the construction site one by one, carrying out dynamic operation state evolution, and constructing a real-time behavior portrait model of each worker; and performing operation state equipment temperature change trend analysis and dynamic load change evolution according to the state monitoring data of the construction site construction equipment, and generating comprehensive state characteristics of each piece of equipment. The construction site management efficiency and the construction site construction safety are improved.

The invention discloses an intelligent construction site management method and system based on photoelectricity and a video fence, the system is realized based on the intelligent construction site management system, the system comprises a control module and an information acquisition device connected with the control module, and the information acquisition device comprises a camera device, a cable monitoring device, an environment state parameter sensor and a construction equipment intelligent switch; and the cable monitoring devices are arranged along the extending direction of the cable at intervals of preset lengths. The method comprises the following steps: regularly acquiring and preprocessing real-time data of a construction site; analyzing the video data to identify a dynamic area; cable abnormity and equipment state are evaluated; generating a motion intensity graph and a key frame candidate set; tracking a target, generating a track, and determining a responsibility subject. According to the method, comprehensive monitoring and anomaly detection of the construction site are realized through multi-source data fusion and intelligent analysis, and the management efficiency and safety are improved.

The invention relates to a packaging machine two-dimensional code dynamic tracing method, device and equipment. The method comprises the following steps: inputting registration identification information of a field management unit into a central control system for identity verification and clock synchronization calculation, and generating a global timestamp sequence; generating a trigger time sequence control signal; acquiring a first two-dimensional code image of the inner-layer packaging unit and a second two-dimensional code image of the outer-layer packaging unit to obtain a first coded data stream and a second coded data stream; performing hierarchical correlation operation to generate a hierarchical rejection signal; generating an associated data packet from the first coded data stream and the second coded data stream which pass the verification, and generating an associated backup table; and establishing multi-level traceability indexes based on the associated data packet, and sorting the multi-level traceability indexes according to the global timestamp sequence to generate a chained traceability data structure. The real-time performance and the accuracy of the two-dimensional code data of the packaging machine are guaranteed, and an effective data exception handling mechanism and an effective backup recovery strategy are achieved.

The invention discloses a safe penetration type management method and system for an engineering construction project, and relates to the technical field of constructional engineering, and the method comprises the steps: collecting engineering entity data in real time, carrying out the preprocessing, and generating an engineering state vector; based on the engineering state vector, constructing a digital twinborn model, calling multi-physics field coupling simulation to simulate the whole construction process, and generating a risk early warning report; uploading the risk early warning report and historical construction data to a federated platform, and constructing a dynamic security knowledge graph; performing hierarchical feature learning on nodes in the dynamic security knowledge graph, simulating decision behaviors of a manager, and generating an optimal management and control rule; based on the optimal management and control rule, driving a construction site management mechanism to operate, and forming a closed loop report; by using the digital twin model and the multi-physics field simulation technology, the accurate prediction of potential safety hazards possibly occurring in the construction process is realized, and the accuracy and timeliness of risk early warning are greatly improved.

The invention relates to the technical field of shipbuilding production site management, in particular to a digital intelligent factory management method and system, and the method comprises the steps: building a configurable product structure model, a work decomposition structure model and a technological process model for each ship type, and carrying out the real-time sensing and automatic data collection of parameters of a production site; establishing a uniform resource pool, and marking attributes of resources; dynamically evaluating the requirements of different ship types on shared resources in combination with plans and real-time production states; carrying out resource allocation by using an optimization algorithm; the execution state of each process task is monitored in real time, and key production data is automatically collected; and visually displaying each ship type, the construction progress of each section, the critical path, the resource state and the risk early warning information in real time through a billboard, an instrument panel and a report form. According to the invention, through multi-ship-type unified modeling, real-time data perception and intelligent optimization scheduling, collaborative management, cost reduction and benefit increase in the ship building process are realized.

The invention discloses an AVI one-driving-two testing and sorting integrated automation device and method. The device comprises an automatic feeding lifting table A, an automatic feeding lifting table B, an electrical testing machine A, an electrical testing machine B, a post-material-number-test OK and NG plate table storage table A, a post-material-number-test OK and NG plate table storage table B, a buffer section A, a buffer section B, a discharging conveyor A, a discharging conveyor B, a signal transmission sensor, an AVI detection machine, a discharging lifting table and temporary storage area, a feeding section, a sorting manipulator and an OK plate storage area. An NG plate storage area and an NG plate maintenance area. According to the AVI one-driving-two testing and sorting integrated automation device and method, the production efficiency is remarkably improved, the tedious process of manual carrying and circulation is successfully replaced, and great convenience is brought to field management. And meanwhile, the quality risk and the labor cost are effectively reduced, and powerful technical support is provided for optimization and upgrading of an automatic production line.

The invention relates to the technical field of intelligent construction site management, and particularly discloses a labor service management system for a construction site, and the system comprises a real-name management module which is used for inputting real-name data of labor service personnel; the attendance checking module is used for acquiring entry registration and exit registration information of the labor service personnel every day and generating an attendance checking record according to the entry registration and exit registration information, and the salary management module is used for automatically calculating basic salary according to an attendance checking report; the server is also used for analyzing whether the basic salary in the labor service salary table is consistent with the basic salary calculated by the attendance report, and if not, generating a salary making and issuing error early warning; and the registration verification module is used for acquiring the personnel photo of the work site, identifying the personnel identity according to the personnel photo and the input face verification information, judging whether the real-name labor service personnel have the corresponding entry registration of the day or not, and generating an unregistered prompt if the real-name labor service personnel do not have the corresponding entry registration of the day. According to the technical scheme, the construction site labor service management efficiency can be effectively improved, and labor service disputes are avoided.

The invention discloses an intelligent construction site equipment control method and system based on the Internet of Things, and relates to the technical field of digital construction sites, and the method comprises the steps: collecting environment data and situation data in real time through a sensing node network, generating a dynamic environment mapping, and determining the situation state of each target region based on the dynamic environment mapping. When an abnormal situation state is detected, the system automatically generates a processing task, the reliability of data transmission and the timeliness of emergency response are ensured through a differential redundancy and dynamic priority redundancy strategy based on task requirements, and in addition, the task processing efficiency is improved by controlling movement of a sensing node and changing the state of the node. According to the method, the intelligent level of construction site management is effectively improved, the dynamic response capability to complex situations is enhanced, and the method is suitable for efficient management of modern complex construction sites.

The invention relates to an automatic education resource generation and dynamic adjustment system and method based on artificial intelligence, electronic equipment and a computer readable storage medium, and the system comprises a resource site management module which is used for integrating an open learning platform, a third-party professional site and college learning resources; the data acquisition module is used for acquiring multi-modal resources related to knowledge points; the digital person making module is used for generating a digital person model and a sound model of the teacher; the resource generation module is used for automatically constructing a PPT and generating a teaching video according to the course large model output; the dynamic adjustment module is used for performing real-time adjustment and intervention on the generated teaching resources according to teaching requirements; and the user interface module is used for interaction operation between students and teachers and the system. According to the method, the generation efficiency of the educational resources is remarkably improved, the individuation and interactivity of the resources are enhanced, the dynamic adjustment and optimization of the resources are realized, and powerful technical support is provided for online education.

The invention discloses an intelligent construction site management method and platform, and relates to the technical field of intelligent construction sites, and the method comprises the steps: obtaining multi-source construction data, and constructing a BIM-Internet of Things fusion model; comparing real-time data with design parameters through the BIM-Internet of Things fusion model, generating a consistency verification result, and uploading the consistency verification result to a block chain evidence storage module; whether an abnormal state exists or not is judged based on the consistency verification result, and if yes, a resource scheduling engine is called to generate an optimized scheduling scheme; adjusting mechanical, manpower and material configuration according to the optimal scheduling scheme, and collecting execution feedback data; and updating the execution feedback data to the BIM model, and comparing the updated design parameters with the field data again to generate a closed-loop feedback verification result. The problems of information splitting, scheduling lag, resource waste, lack of traceability and the like in traditional construction management are effectively solved, and the intelligent, refined and collaborative management level of the construction process is improved.

The present disclosure provides a method for site management that includes launching, from a mobile drone base unit, a drone including a sensor package and an illumination source; tethering, by a tether coupling the drone to the mobile drone base unit, the drone to provide power and maintain communications between the drone and the mobile drone base unit; receiving, from the sensor package of the drone, data related to a construction site; comparing the received data related to the construction site to blueprint data related to the construction site; and in response to identifying a deviation between the received data and the blueprint data, moving the mobile drone base unit to a position allowing the drone to highlight the deviation.

The invention discloses an intelligent construction site management method and system, electronic equipment and a storage medium, and relates to the technical field of construction site management. The method comprises the steps of obtaining material information of a target construction site; generating a material consumption thermodynamic diagram of the target construction site according to the material information, and dividing the target construction site into a plurality of material use frequency areas based on the material consumption density in the material consumption thermodynamic diagram; calculating a material consumption rate corresponding to each material use frequency area, and determining an inventory early warning threshold value corresponding to each use frequency area based on each material consumption rate; obtaining the current material inventory of each material use frequency area; and when the target use frequency area with the material inventory smaller than the corresponding inventory early warning threshold exists, determining the corresponding material purchase quantity according to the material consumption rate and the material inventory of the target use frequency area, and generating a purchase management report of the target construction site based on each material purchase quantity. By implementing the technical scheme provided by the invention, the construction site management efficiency can be improved.

The invention relates to the technical field of engineering construction, and discloses an engineering construction site risk area management and control system, which comprises an on-site management and control data processing center, a risk evaluation module, a visual picture acquisition module, an area management module and an in-area equipment monitoring module, the field management and control data processing center is electrically connected with a risk evaluation module, a visual picture acquisition module, a region management module and an intra-region equipment monitoring module; the visual picture module and the intra-region equipment monitoring module are used for monitoring picture information and equipment states in a construction site, and the risk evaluation module is used for acquiring the picture information and the equipment states, analyzing the picture information and the equipment states and judging risk states; the area management module is used for dividing a construction site; according to the management and control system provided by the invention, pictures and equipment of a construction site can be monitored, and the effect of evaluating risks is achieved by using monitoring information.

The invention discloses a construction method of a concrete inner formwork supporting system for an ultra-large wind tunnel diffusion section. The construction method comprises the steps that S1, full-simulation modeling is conducted on a runner structure and a steel formwork according to a construction drawing by means of the BIM technology; s2, after processing by a factory, re-checking and splicing the steel templates by using BIM data, and pasting two-dimensional codes, and S3, carrying out on-site positioning and paying-off on each section of the inner steel template; s4, before the inner template supporting system is installed, the worker installs the inner template supporting system according to the sequence of animation demonstration of the BIM model; s4, before the inner template supporting system is installed, a BIM engineer makes and installs animation demonstration through the inner steel cylinder template BIM model, visual disclosure is conducted on field management personnel and workers, and the workers install the inner template supporting system according to the sequence of animation demonstration; effective combination of the bottom plate and the steel formwork can be effectively guaranteed, displacement of the steel formwork in the mounting process is prevented, defects existing in construction are reduced, and working efficiency is improved.

The invention discloses a thyroid disease full-period management system and method, and the system comprises a medical service module which is used for medical registration appointment; the data management module is used for collecting and storing human body life health indications of the patient in the hospital treatment period and in the remote re-treatment period; the follow-up diagnosis monitoring module is used for storing dose change data and setting regular review reminding; the health risk early warning module is used for performing correlation analysis on the disease health risk of the patient according to the human body life health indication and the dosage use data, and giving out doctor seeing guidance according to an analysis result; and the daily health management module is used for giving daily diet suggestions and exercise suggestions to the patient according to the analysis result of the health risk early warning module. The thyroid disease full-period management system shows obvious advantages in the aspects of optimizing the re-consultation process, improving the medical treatment efficiency, enhancing remote management, improving the medical compliance, providing personalized health guidance and the like, and provides more comprehensive, convenient and efficient health management services for patients.

The invention discloses an all-network public network communication network networking fusion method and system based on satellite communication. The method and system are suitable for emergency communication guarantee, remote area communication coverage and other scenes. The system comprises a communication access module, a data convergence module, a three-network convergence gateway, an operator core network and a unified management and scheduling module, wherein the unified management and scheduling module is used for subdividing a core network link monitoring subsystem and a convergence site management subsystem. According to the system, by means of a three-network integration gateway, a single pico-base station device can provide signal coverage of three operators at the same time, a communication link is connected through a private network and encrypted, and safety is guaranteed. The method is based on the system and comprises the steps of communication access, data aggregation, data processing and management, service processing, management and scheduling and the like. The multi-operator network selection requirement can be met, the network security and stability are enhanced, resource centralized management and monitoring scheduling are achieved, and the method has important application value in emergency rescue, remote area communication coverage, large-scale activity communication guarantee and other scenes.

The invention relates to the technical field of building construction, and discloses a steel structure embedded part rapid positioning method for housing construction, which comprises the following steps: performing three-dimensional site measurement on a construction area through a laser scanner to generate a three-dimensional model of a construction site; carrying out on-site accurate positioning on the embedded part by utilizing a total station according to the design drawing and the three-dimensional model data; a mounting template is manufactured according to data measured by the total station, and the position of the embedded part is marked on the construction site; and installing the embedded part according to the mark of the template, and fixing the embedded part by using a fixing device. The laser scanner and the total station are combined, high-precision three-dimensional site measurement and embedded part positioning are provided, the positioning precision and efficiency are improved, deviation is found and corrected in time through automatic comparison and re-checking, reworking is avoided, meanwhile, construction site management is optimized through visual marking and a strict quality control process, and the construction efficiency is improved. And stability and accuracy of installation of the embedded part are ensured.

The invention relates to the field of construction sites, and discloses an intelligent construction site management system and method based on the Internet of Things, and the system comprises an architecture design scheduling module which is used for designing a corresponding management architecture and adjusting the corresponding management architecture according to the real-time condition of a construction site; the architecture design scheduling module is connected with an acquisition module, and the acquisition module acquires various information data of a construction site through various devices, thereby providing a basis for subsequent judgment and management. According to the intelligent construction site management platform, the formula calculation module is arranged, the field dust value is collected, the collected dust data is compared with the threshold value, and a corresponding processing scheme is adopted, so that the situation that the working environment is influenced when the dust in the construction site is large is avoided, and compared with an existing intelligent construction site management platform which neglects the field environment, the intelligent construction site management platform has the advantages that the working efficiency is improved. The platform pays more attention to the environmental health of a construction site.

The invention belongs to the field of construction site management, and particularly discloses a BIM-based safety management resource allocation method and a construction grid safety management system, and the method comprises the steps: dividing a construction site into a plurality of grid units, and constructing a BIM model; in the construction process, the construction progress and the attributes of the grid units are obtained in real time based on the BIM model, and then the risk scores of the grid units are calculated through an LEC method; according to the risk score, judging a security risk level to which the grid unit belongs, performing management resource allocation on the grid unit according to the security risk level, and updating the BIM model; and when the construction of the grid units is completed, the grid units are automatically cleared from the BIM model. According to the method, grids are dynamically generated through linkage with the BIM model, and dynamic allocation of safety resources is carried out on construction grids with different construction risks; in addition, the BIM model in the construction grid safety management system is updated in real time, so that the three-dimensional visual management of the construction site can be optimized.

The invention provides an intelligent fire monitoring system and method based on an AI technology. The system comprises a data sensing management layer, a data processing transmission management layer, a business analysis management layer and a fire monitoring operation application management layer. Wherein the data sensing management layer is used for acquiring fire operation field monitoring data and fire operation field monitoring pictures in a target area in real time; the data processing transmission management layer is used for constructing a fire monitoring data middle station based on the fire operation field monitoring data; the business analysis management layer is used for receiving fire operation field monitoring data and is in butt joint with the business analysis management layer; and the fire monitoring operation application management layer is used for processing the fire operation field monitoring data, obtaining an abnormal detection result and carrying out statistics and display on the abnormal detection result so as to realize fire operation field management and related personnel reminding and management. According to the invention, the live working site video collected in real time can be monitored and analyzed, and potential safety hazards in live working can be found and processed in time.

The invention discloses an intelligent construction site cloud platform based on the Internet of Things, and relates to the technical field of construction site management, and the platform employs a multi-mode data fusion technology in combination with RFID, GPS, video monitoring and wearable equipment, monitors the position, behavior and physiological state of a worker, and automatically recognizes the violation behavior of the worker in combination with a deep learning model. Meanwhile, the regional risk coefficient is adopted to dynamically adjust the safety threshold values of the environment and the behavior, early warning adjustment is carried out in different regions according to the risk level, false alarm and missing alarm are greatly reduced, meanwhile, the working environment is monitored in real time through the temperature, humidity and dust environment sensors, and the working efficiency is improved. Early warning is triggered once the environmental condition exceeds the safety range, whether work meets the safety standard or not is judged in combination with environmental factors and worker behaviors, the weight of recent high-risk behaviors is increased through time weighting based on past behaviors of workers, and the current safety state of the workers is preferentially concerned.

The invention provides a steel structure construction site management platform based on the Internet of Things. The acquisition module is used for acquiring component information and construction environment information in real time. And the decision module carries out fusion analysis on the component information and the construction environment information, and carries out deep design on construction structure installation through a BIM technology in combination with a design drawing. And the application module performs review marking on the deepened design drawing, and automatically associates the deepened design drawing according to expert review opinions to further deepen the design drawing to obtain a final construction drawing. And the execution module calls installation equipment and formulates a component installation sequence through the final construction drawing and the component information, and feeds back an execution state to the acquisition module. Through cooperation of all the modules, the assembly efficiency can be improved, and the installation period can be shortened. The installation precision and the installation reasonable rate are greatly improved, the resource utilization rate can be optimized, and the turnover rate of a storage yard is improved.

The invention discloses a conveyor belt skeleton joint defect detection method, device and equipment and a storage medium, and relates to the field of image detection, an X-ray image of a conveyor belt is acquired, and a conveyor belt skeleton joint and conveyor belt defects are identified; when a skeleton joint is identified, extracting a joint image, and detecting an RFID tag of a joint area where the joint is located; when the conveyor belt defect is identified, outputting a defect label of the conveyor belt defect, and performing position and label matching on a defect area where the conveyor belt defect is located and a joint area; and outputting a defect detection result of the skeleton joint according to the position matching result and the label matching result. The joint and defect positions are intelligently detected and recognized through the X-ray image, various defect problems inside and on the surface of the belt body can be analyzed, and the recognition accuracy of joint target detection is improved. RFID information is fused to adaptively number joints, joint defects and non-joint defects are distinguished, the accuracy of a joint detection report is improved in an auxiliary mode, and conveying belt monitoring data are provided for field management personnel in real time.

The invention relates to the technical field of road project construction site management, in particular to a BIM construction site inspection system based on augmented reality of an unmanned aerial vehicle and a control method thereof, and the method comprises the steps: 1, system initialization: constructing a three-dimensional building information model B (x, y, z) of a construction site on a BIM platform, and recording a building structure, equipment layout and related information, associating the model with an unmanned aerial vehicle inspection module and an AR visualization module to realize data synchronization; and 2, task setting: inputting inspection task parameters through a user interaction interface, including an inspection area omega, a task frequency ft and sensor configuration S = {s1, s2,..., sn}. According to the invention, the unmanned aerial vehicle + AR + BIM combination greatly improves the inspection efficiency and accuracy, reduces the manual inspection time and cost, and improves the inspection efficiency and accuracy. Meanwhile, the risk that personnel enter a dangerous area is reduced through unmanned aerial vehicle inspection, the safety of the inspection process is improved, the intelligent scheduling module can adjust resource allocation in real time according to the inspection result, and the utilization rate and efficiency of resources are improved.

The invention belongs to the technical field of nuclear power, and particularly relates to an intelligent construction site management system based on digital twinning. According to the system, efficient data processing and real-time monitoring can be achieved, through Redis cache and distributed storage, the system can rapidly process and display real-time data of a construction site, and it is ensured that a manager obtains key information in time. Through the design of the business support layer, each function module of the system can be flexibly called, and rapid expansion and function adjustment are supported. And an AI analysis module is integrated, so that automatic identification and alarm of illegal behaviors are realized, and the safety management efficiency is greatly improved. Data checking and operation through a PC terminal, a mobile terminal and a monitoring large screen are supported, and it is ensured that a management layer can monitor the progress of a construction site anytime and anywhere. The background management system supports data import, export and configuration adjustment, has high flexibility and expandability, and adapts to management requirements of construction sites of different scales.

The invention relates to a steel structure monitoring and early warning platform and method for an offshore wind power booster station, and the safety state of the steel structure of the booster station is monitored and early warned in an omnibearing manner through a data communication collection module, a data analysis module, a visual display module, a mobile terminal display module, a data management module, a third-party interface module and the like. An intelligent configurable monitoring and early warning software architecture is adopted, the system is suitable for data monitoring and early warning of the offshore booster station, the limitation of a traditional monitoring system is solved, and the personalized monitoring requirement is met. The platform has system expansion and compatibility, and adapts to monitoring requirements of different booster stations. The visualization module comprises a 3D BIM model, and provides detailed and comprehensive data visualization experience in combination with monitoring data, sensor positions and early warning information. Multi-site management is supported, and steel structures of a plurality of booster stations are monitored and managed at the same time. A sensor technology, a user-defined data processing algorithm and user interface design are adopted, overall data are innovatively collected, analyzed and displayed, and the safety and reliability of the booster station steel structure are improved.

The invention discloses an in-transit transportation collaborative management and exception handling method and device and a storage medium, and the method comprises the steps: building a transportation state dynamic monitoring mechanism, and collecting the departure state, in-transit position and transportation progress data in real time; automatically detecting transportation abnormity based on a preset rule, identifying departure delay, route deviation, aging overrun and goods damage conditions, and generating early warning information; creating a multi-party cooperative processing channel, and synchronously notifying a dispatcher, a carrier and a field manager when a transportation abnormality occurs; an exception handling tracking mechanism is established, and the whole process from exception discovery to handling completion is recorded; and constructing a transportation data analysis model, optimizing an abnormal early warning threshold value and a processing scheme based on historical transportation data, and regularly generating a transportation efficiency report. According to the invention, a complete management closed loop from state monitoring, abnormity identification and cooperative processing to data analysis is established, discovery and rapid response of transportation abnormity are realized, and the problems of information lag and low cooperative efficiency of a traditional management mode are solved.

The invention discloses a panoramic monitoring and illegal behavior recognition system and method for a water conservancy building construction site. The method comprises the steps that a data processing box calls a preset typical illegal construction behavior database and a typical illegal equipment image database; the method comprises the following steps: acquiring construction personnel behavior images, identifying and identifying the acquired construction personnel behavior images and a typical illegal construction behavior database, comparing construction equipment behavior images with a typical illegal equipment image database, and sending alarm information to a server side when the acquired construction personnel behavior images and the construction equipment behavior images are identified and judged to have illegal behaviors; the intercepted violation picture and the basic attribute information of the construction personnel and the construction equipment are obtained and sent to a server side; according to the method, the recognition result of the illegal behavior displayed on the interface, the heat map of the risk area and the like can be monitored in real time, construction site managers are assisted in quick response, and a powerful guarantee is provided for safe operation of site building construction.

The invention belongs to the technical field of vehicle management, and particularly relates to a vehicle queuing method and system for concrete transportation, through automatic scheduling and task allocation, the system automatically generates an initial scheduling list according to the demand quantity and the construction progress of a construction site, and allocates a unique task number for each vehicle; and the task of each vehicle is ensured to be clear and ordered. The real-time information transmission function enables the system to send detailed loading time and place and predicted arrival time to a driver through the vehicle-mounted equipment, so that waiting time is reduced, and response efficiency is improved. According to the dynamic path planning, an optimal driving route is planned for each vehicle according to the current traffic condition, and it is ensured that the vehicles can arrive at the construction site on time. Besides, when the vehicles approach the construction site, the system automatically sends the predicted arrival time and the specific parking positions of the vehicles to the site management team, and coordinates the vehicles to sequentially park and unload according to the preset sequence, so that the operation efficiency of the construction site is improved.

A control system, a management method, and a management program for autonomous driving capable of reliably performing a safety check on a surrounding of an autonomous driving vehicle and reducing a risk of collision during a startup due to a check omission. Whether a safety check is performed is grasped using an in-vehicle camera that monitors a surrounding of a vehicle, a QR code (registered trademark) set at the surrounding of the vehicle, or a one-time password, and an erroneous vehicle is not subjected to a startup by using a check result in response to an instruction to start an autonomous driving by an on-site manager. Further, a range in which the autonomous driving or the remote control operation is permitted is set according to a range in which the check is performed. Accordingly, a risk of collision during a startup of the autonomous driving vehicle is reduced.