280 results about "Control area" patented technology

The invention discloses an unmanned aerial vehicle route planning and dynamic management and control method for an urban low-altitude airspace, and relates to the technical field of unmanned aerial vehicle route planning and dynamic management and control, and the method comprises the steps: dividing the low-altitude airspace into a basic flight layer, a buffer anti-collision layer and an emergency guarantee layer in the vertical direction; setting different air route grades and limitation rules in different areas in the horizontal direction; generating a basic airway network skeleton and performing structure optimization; obtaining the operation state and environment updating data of the unmanned aerial vehicle; semantic annotation is carried out on each leg and node in the basic airway network skeleton, and airspace regulations, supervision rules, flight limiting areas, temporary control areas and recommended flight corridor information are embedded into a semantic layer of the airway network; and inputting the basic airway network skeleton, the semantic annotation information and the real-time monitoring data into an urban low-altitude airspace management and decision-making platform. According to the invention, cooperative scheduling and avoidance among multiple unmanned aerial vehicles are realized, and the operation efficiency of an air route network and the cooperative work capability of the unmanned aerial vehicles are improved.

Smart surveillance data processing systems support safe uncrewed aircraft system (UAS) or uncrewed surface vessels / vehicles operations where remote pilots are operating their uncrewed aircraft beyond visual line of sight (BVLOS) or near controlled areas, by providing: (i) real-time situational awareness in dense crewed aircraft and uncrewed drone environments while providing automated detection and alerting of intruders to remote pilots in command; (ii) surveillance network performance assessments through radar and ADS-B quantifiable measures; (iii) detection and alerting of any appreciable degradation of surveillance sensor performance, allowing remote pilots to suspend or alter operations to ensure safety; (iv), standardized airspace reporting including traffic patterns; (v) certification of portions of the airspace where the surveillance network is capable of meeting a minimum standard; (vi) assessment and reporting of drone compliance and non-compliance with UAS operating regulations.

A low-altitude aircraft intelligent identification and emergency countering system relates to the technical field of low-altitude aircraft safety management and comprises a detection unit, an identification unit, a command decision platform, a scheduling unit and a countering unit. The detection unit is used for detecting all low-altitude aircrafts in a prevention and control area and obtaining flight data of all the low-altitude aircrafts; the identification unit is used for receiving the flight data and analyzing and judging the threat level of the low-altitude aircraft based on a fusion algorithm; the command decision platform is used for receiving the threat level of each low-altitude aircraft and sending a disposal instruction to the countering unit; the scheduling unit is used for giving a specific countering equipment scheduling instruction through an intelligent optimization scheduling algorithm according to the disposal instruction; the countering unit controls different countering devices to accurately strike low-altitude aircrafts with corresponding threat levels according to the scheduling instruction; according to the method, the malicious unmanned aerial vehicle can be accurately identified and can be countered in time.

The embodiment of the invention provides an unmanned aerial vehicle dynamic deployment method and equipment, and the method comprises the steps: introducing a flight plan, a flight path line and a space-time envelope of flight, predicting the flight path of an unmanned aerial vehicle at a specific time, mastering the full view of the flight process in the whole flight plan, and carrying out the management and control of the capacity of the flight path as a resource, thereby achieving the dynamic deployment of the unmanned aerial vehicle. According to the method, the flight plan is deployed based on the capacity control result, conflict detection is carried out on space-time conflicts possibly existing in the flight process in combination with the flight control area and the flight plans of other unmanned aerial vehicles, and the flight plan is further adjusted in combination with the conflict detection result, so that accurate deployment of the flight of the unmanned aerial vehicles is realized. And the flight efficiency and the airspace utilization rate of the unmanned aerial vehicle are effectively improved.

The invention discloses an intelligent control method and system for a building HVAC system, and the system comprises an information monitoring unit, a core processing unit, a scheme design unit, a real-time regulation and control unit and an early warning management unit. Therefore, the building environment quality of the space area is evaluated in a targeted mode, HVAC linkage control over the local regulation and control area range is carried out in combination with the geographic coordinates of the space area, an air regulation and control management scheme and an equipment management signal are output, real-time regulation and control over the building environment are carried out, and air interaction from a key monitoring area as the center to an associated area is achieved. Through local linkage control, the HVAC regulation and control precision is improved, the energy consumption of air conditioning equipment is reduced, the continuous stability of the building environment quality is guaranteed by predicting and evaluating the building environment quality of a space area, and therefore the comfort level of the working and living states of users in a building is improved.

The invention relates to the field of flight path planning, aims to solve the problem that flight safety of an unmanned aerial vehicle and safety of other personnel or facilities on the ground and in the air are affected due to disordered flight paths of the unmanned aerial vehicle caused by scale increase of the unmanned aerial vehicle, and particularly relates to an intelligent flight path planning system for the unmanned aerial vehicle based on intelligent air traffic control. According to the method, pre-generation, correction, execution, real-time intervention and final execution results of the unmanned aerial vehicle route are recorded in the whole process, a closed-loop control process is formed, it is ensured that the flight process is traceable, abnormity can be traced back, and the task reliability in a complex airspace is improved; on the basis of an initial route, airspace management data is added to optimize a flying object in an airspace and a control area route for multiple times, and a real-time intervention unit is used for quick response, so that dynamic adjustment of flight route planning is realized, the collision risk and the danger occurrence probability are reduced, and the flight route planning efficiency is improved. And the overall dynamic supervision capability of the route planning system is improved.

The invention discloses a navigation vehicle path planning method based on real-time traceability, and relates to the technical field of environment monitoring, and the method specifically comprises the following steps: collecting VOCs hotspot grids, industrial park limit values and limits, and historical navigation monitoring data; calculating a VOCs concentration high value point of the control area; generating a VOCs concentration space thermodynamic diagram and displaying the VOCs concentration space thermodynamic diagram on a GIS map; a key VOCs management and control area is visually marked with a GIS map as the background; establishing medium-scale and small-scale air pollution transmission simulation in combination with continuously updated precise regional pollution source lists; the pollution source and the contribution ratio are analyzed in real time, and the navigation path is planned according to the pollution source and the contribution ratio. According to the invention, through analysis of monitoring station data, pollution concentration hot spots and key management and control areas are identified and monitored, pollution sources are further searched based on a traceability model, and the problem of lack of planning of a navigation area is reduced; by designing the underway path planning and optimization algorithm, the underway route is automatically generated in the background, and the dependence of underway command on experience is reduced.

The invention discloses a low-altitude airspace planning method and system based on a micro-terminal area, and relates to the field of low-altitude airspace planning, and the method comprises the steps: generating a corresponding take-off and landing area for a low-altitude take-off and landing point or a take-off and landing field, and generating a take-off and landing hub area for an adjacent take-off and landing point or a take-off and landing field, so as to construct the micro-terminal area of the low-altitude airspace; constructing a risk area, and forming a restricted area of the low-altitude airline network together with the control area and the no-fly area; on the basis of the restricted area, generating alternative intermediate points connected with the take-off and landing points or the take-off and landing fields; based on the data of the alternative intermediate points and the data of the micro-terminal area, constructing an initial low-altitude airline network connected with all the points; calculating a weight corresponding to each side line in the initial low-altitude airline network, and optimizing the initial low-altitude airline network based on a weighted network; and removing redundant intermediate points based on the optimized network, constructing access points of the airline network and each micro-terminal area, and generating a final low-altitude airline network. According to the invention, a more reliable technical basis is provided for low-altitude route network planning.

The invention discloses an electronic fence positioning method and system applied to low-altitude flight control, and belongs to the technical field of data analysis. According to the embodiment of the invention, the low-altitude flight fence space is constructed and the flight early warning quantitative characteristics are set, so that the fine management basis of low-altitude flight is realized. The electronic fence monitoring route and the space-time cross sensing data thereof are acquired to determine the local management and control area, so that airspaces with different functions and risks can be accurately focused, and the management and control efficiency is improved. Alarm data of different monitoring routes are determined according to flight early warning quantitative characteristics, differences of tasks of different routes in the same area are considered, the method can adapt to complex and diversified flight scenes, and misjudgment is reduced. And after the trigger condition is responded, the monitoring risk decision feature is determined and the flight is controlled, so that the abnormal condition of the low-altitude aircraft can be handled in time in a targeted manner, the safety and orderliness of the low-altitude flight are effectively ensured, and potential threats to specific areas (such as airports and activity sites) are avoided.

The invention discloses an equipment load centralized monitoring analysis method and system at a centralized control station side, and belongs to the technical field of electric power engineering. The method specifically comprises the steps that modeling is conducted on the equipment load rate of a centralized control side production control area, equipment data are collected, and the equipment load rate is calculated; setting a load rate limit value and a duration limit value of overload of the equipment, and performing overload early warning when the load rate of the equipment exceeds the set limit value; setting an N-1 early warning limit value of the equipment, and performing N-1 early warning when the total load of the transformer substation exceeds the N-1 early warning limit value of the rated capacity of the equipment; and according to the overload early warning and the N-1 early warning, constructing a monitoring model for visual display in combination with load rate statistics of a centralized control side production control area, then synchronizing the monitoring model to an information management area of the centralized control side in a cross-area manner, generating a visual intelligent report, and realizing centralized monitoring analysis of the equipment load of the centralized control station side. According to the invention, the load state analysis and lean management of important equipment are optimized, and the operation risk of the power grid is effectively prevented and reduced.

The invention provides a heat preservation box capable of rapidly replacing a cold source. The heat preservation box comprises a box body and cold storage plates; the box body is provided with a box door, a cold storage area, a control area and a cold source area are arranged in the box body, the cold storage area is separated from the control area and the cold source area through a middle partition board, and the control area and the cold source area are separated through a side partition board; a backflow partition board is arranged in the cold source area, the cold source area is divided into a cold source cavity and a backflow cavity through the backflow partition plate, the cold source cavity communicates with the lower portion of the backflow cavity, a plurality layers of cold sourceframes used for containing the cold storage plates are arranged in the cold source cavity, and the cold source cavity communicates with the cold storage area through an air inlet channel; an exhaustfan is arranged on the air inlet channel, the cold storage area communicates with the backflow cavity through a backflow channel, and an air blower is arranged on the backflow channel; a control module is arranged in the control area, a first temperature sensor is arranged in the cold storage area, the exhaust fan, the air blower, and the first temperature sensor are electrically connected with the control module; and box body, the middle partition plate and the side partition plate are all made of vacuum composite plates. According to the heat preservation box, the replacement efficiency of the cold source is improved.

The invention discloses an air conditioner intelligent control method and system based on artificial intelligence, and relates to the technical field of artificial intelligence, and the air conditioner intelligent control method comprises the steps that firstly, a first adaptation vector is constructed by fusing region features and strategy features, and the adaptation degree of a controlled region and a to-be-started control strategy is represented; and inputting the vector into a pre-trained air conditioner intelligent control model, evaluating the adaptation degree through a working condition association method under the constraint of a target strategy priority tensor table, outputting an optimized second adaptation vector, and finally dynamically starting an adaptive control strategy for multiple controlled areas according to the vector. According to the method, intelligent matching of regional characteristics and strategies is achieved through an artificial intelligence model, strategy priorities are managed through a tensor constraint mechanism, the problems that in a traditional control scheme, multi-region adaptability is insufficient, and strategy optimization efficiency is low are solved, the energy efficiency and user comfort of the air conditioning system can be dynamically improved, and the user experience is improved. The method is suitable for air conditioner cooperative control of multiple scenes such as intelligent buildings and building automation.

The invention discloses a central air conditioner energy-saving control system and method based on artificial intelligence, relates to the technical field of air conditioner energy-saving control, and solves the technical problems that in the prior art, when a central air conditioner operates, temperature detection evaluation cannot be conducted on the central air conditioner, and it cannot be guaranteed that the temperature detection performance of the central air conditioner meets the requirement. The marking module is used for marking a central air conditioner coverage area as a control area, obtaining a main circulation route and a secondary circulation route of the control area and determining an air supply point; taking the air supply point as a starting point and the main circulation route as a track, dividing the main circulation route into a plurality of sub-positions, and according to the sub-positions, inferring air supply point effects, high effects, energy-saving regulation and control, low effects and frequency conversion control so as to meet control requirements; temperature floating speed deviation information and temperature floating control area information are collected, and temperature detection analysis control is conducted according to information analysis.

A multi-state PID controlled turntable target tracking method and system relate to the field of control or regulation systems, and the method comprises the following steps: calculating a target motion speed parameter and a target motion acceleration parameter, and analyzing according to the target motion speed parameter and the target motion acceleration parameter to obtain a target movement trend; the method comprises the steps of determining target motion state parameters based on target moving trend judgment, selecting a corresponding control parameter set according to a control area where a target position is located and the target motion state, calculating a proportional term, an integral term and a differential term of position deviation according to the control parameter set, and adding the proportional term, the integral term and the differential term to obtain PID control output. Carrying out amplitude limiting on PID control output according to the maximum allowable speed under the current focal length to obtain a control quantity; and performing first-order filtering processing on the control quantity to obtain a motion control instruction, and driving the azimuth axis and the pitch axis to move based on the motion control instruction. By implementing the method, the tracking precision of the turntable target tracking system can be improved.

The invention provides a dual-fuel ship route fuel filling, switching and navigational speed collaborative optimization method and system, and the method comprises the steps: firstly obtaining route parameters and port parameters of a dual-fuel ship, and dividing a leg between two ports into a discharge control region leg, a canal region leg and a plurality of common legs according to a discharge control region and a canal region; averagely dividing a common leg with the sailing distance greater than a preset distance threshold into a plurality of interval legs, and establishing a mixed integer nonlinear optimization model taking the minimum fuel filling cost and the minimum sailing period delay cost as objective functions under a plurality of specific constraint conditions; carrying out linearization processing on the mixed integer nonlinear optimization model by adopting a linearization method to obtain a mixed integer linear optimization model; and finally, a solver is adopted to calculate an optimal solution of the mixed integer linear optimization model, so that an optimal fuel filling, fuel switching and navigational speed strategy of each sub-route segment is obtained, and collaborative optimization of fuel filling, fuel switching and navigational speed of the dual-fuel ship route is realized.

The invention discloses a data center machine room temperature field equalization method based on a multi-scale model learning strategy. Fusing the equipment tolerance, the refrigeration system performance and the environmental thermodynamic boundary to construct a dynamic safe operation boundary; a machine room-cabinet-equipment multi-scale reverse model is constructed based on a physical guidance neural operator, and backstepping from observation of a temperature field to an optimal control strategy is realized; the method comprises the following steps: dynamically dividing a machine room into a plurality of logic control areas, deploying a reinforcement learning agent for each area, deciding and adjusting the air supply speed under the constraint of a safety boundary, and meanwhile, learning the minimum feasible air speed on line to optimize energy conservation; and when temperature abnormity which cannot be processed by local control is detected, generating and executing a global coordinated regulation and control instruction according to the global temperature field data and an analysis result of the multi-scale model. According to the method, on the premise of guaranteeing the safety of equipment, the temperature field of the data center is subjected to refined and self-adaptive balanced regulation and control, and the energy efficiency and the operation reliability of a refrigeration system are remarkably improved.

The invention relates to the technical field of aeronautical equipment and electronic information, in particular to a CAN bus-based cargo loading fault isolation control method for a cargo machine, which comprises the following steps of: entering a periodic self-checking process if the input of a'test 'control signal is not detected; judging whether the voltage or circuit sampling result exceeds a threshold value or not; the power driving unit sends a CAN message to the sub-control unit, message filtering and screening are carried out according to a message ID, and a bus where the power driving unit is located in the control area and the fault state of the power driving unit in the control area are judged; performing jitter removal processing on the'test 'control signal; detecting whether the'test 'control signal is valid or not again, if not, returning to periodic self-inspection, and if yes, keeping the current fault diagnosis result and sending the current fault diagnosis result to the main control unit; and the self-inspection is ended. The problem that the fault detection process of the power drive and control unit is tedious and complex is solved.

Smart surveillance data processing systems support safe uncrewed aircraft system (UAS) or uncrewed surface vessels / vehicles operations where remote pilots are operating their uncrewed aircraft beyond visual line of sight (BVLOS) or near controlled areas, by providing: (i) real-time situational awareness in dense crewed aircraft and uncrewed drone environments while providing automated detection and alerting of intruders to remote pilots in command; (ii) surveillance network performance assessments through radar and ADS-B quantifiable measures; (iii) detection and alerting of any appreciable degradation of surveillance sensor performance, allowing remote pilots to suspend or alter operations to ensure safety; (iv), standardized airspace reporting including traffic patterns; (v) certification of portions of the airspace where the surveillance network is capable of meeting a minimum standard; (vi) assessment and reporting of drone compliance and non-compliance with UAS operating regulations.

The invention discloses a man-machine interaction instruction generation method for target aircraft remote cooperative control, and relates to the technical field of man-machine interaction instruction generation. According to the method, a track prediction mechanism based on historical state data and a feedforward control strategy are fused, a response window of a control instruction can be judged in advance by constructing a short-time future state prediction sequence of a target drone, and the time sensitivity and the execution matching degree of the control instruction are greatly improved; structured instruction unit generation and multi-stage sub instruction chain analysis are adopted, so that the composite action is modularly expressed and finely disassembled, and the control precision and logic consistency of complex operation are effectively improved. Besides, by means of space attitude residual error screening, envelope boundary modeling and time tolerance design, a stable control area and a buffer area can be established in multiple directions, and the fault-tolerant capability and controllability in the high-dynamic flight state are improved.

Pump device with a plurality of individual pistons (10) which are divided into two groups (14, 16) and which are arranged opposite each other and in rows one behind the other and are guided longitudinally in a piston receptacle (20) for a counter-rotating piston movement, and with a driven control means (24) which, with a control surface (26) each, controls the individual pistons (10) of each group (14, 16) in succession from a suction stroke to a pressure stroke and vice versa, characterized in that the control surfaces (26) of the control means (24) are arranged between the two groups (14, 16) of pistons (10).

The invention discloses an unmanned surface vehicle robust track tracking method based on track curvature adaptive segmentation control, and relates to the technical field of unmanned surface vehicle autonomous navigation control, and the method comprises the steps: calculating the track curvature of a current leg in real time, and dividing a control section based on a preset threshold; executing a corresponding control strategy according to a control section, dynamically adjusting a proportionality coefficient, an integral coefficient and a differential coefficient by adopting fuzzy PID, and generating a steering lag prediction compensation amount based on a planning energy optimal speed; and steering compensation is carried out based on the steering lag prediction compensation amount, so that steering lag is reduced. And finally, judging whether the terminal point of the current flight segment is reached or not so as to obtain an optimized flight path tracking result. Through a curvature-driven three-section control strategy, a dynamic foresight distance dual constraint and an energy consumption optimization mechanism, the problems of tracking drift, control switching oscillation and energy waste of a traditional method in a sharp turn leg are solved, and the tracking precision and the system robustness under a complex track are remarkably improved.

Control zone devices that integrate a valve, filter, and pressure regulator within a single device are provided. Specifically, the control zone devices include a main body having a base portion with an inlet passage and an outlet passage attachable to a conduit and a body portion extending from the base portion having an interior for receiving a filter. The control zone devices further include a valve body including a solenoid bowl for attaching a solenoid and an interface cap for removably coupling the valve body to the main body of the control zone device and forming an interface between the valve body and the main body to operate the valve. The control zone devices also include a pressure regulator. In some configurations, the pressure regulator is positioned in a vent flow path of the valve body downstream of the solenoid for regulating pressure at the valve.

The present disclosure discloses a multifunctional side impact block control system and a child safety seat including the same. The multifunctional side impact block control system includes a seat body, a side impact block movably mounted on a left side surface and / or a right side surface of the seat body, a main controller, and a functional module integrated in the side impact block. The side impact block and the functional module are in communication connection with the main controller. The functional module includes one or more of an interaction unit, an entertainment unit, an environment adjustment unit, a safety unit, and a welcoming unit. The side impact block movably mounted on the side surface of the seat body can be easily operated by a user, making the interaction more intuitive and providing a control region that better meets the requirements in practical applications, thereby providing great convenience.

The embodiment of the invention discloses a DE-SVM-based online evaluation method for a countering interference effect of a small civil unmanned aerial vehicle, and belongs to the technical field of unmanned aerial vehicle countering. According to the method, when it is detected that a non-cooperative target enters a prevention and control area, motion characteristic parameters of the target are continuously extracted; after the interference is performed for a preset time, identifying the flight state of the target by adopting an identification model based on a support vector machine based on the motion characteristic parameters of the target; and evaluating a countering interference effect based on the flight state of the target. According to the method, the target interference effect evaluation model of the target flight state and the target motion characteristic quantity and the problem solving model of the support vector machine combined with action decomposition are constructed, so that the accuracy of interference effect identification based on the support vector machine is improved, and online and cognition of the target interference effect evaluation method are further realized.

The invention relates to a multi-target pull-in trajectory planning method for an automatic driving bus harbor type stop, and the method comprises the steps: S1, setting a control region, and building a plane coordinate system; s2, determining a basic operation rule of the bus; s3, determining a trajectory planning target and determining a trajectory planning constraint condition according to the multi-target pull-in trajectory planning model; step S31, selecting the minimum weighted values of the punctuality P, the energy consumption E and the comfort C as a target of bus pull-in track planning; step S32, determining constraint conditions of trajectory planning, and considering speed, acceleration, curvature, driving distance, starting and ending positions and driving obstacle avoidance constraints; s4, solving the planning model through a sequential quadratic optimization algorithm to obtain an optimal driving track of the bus; s5, executing the vehicle track according to the step S4; and S6, waiting for triggering of a next round of decision. The method can effectively achieve the decision-making of the whole automatic driving bus station entering process in a harbor type stop station scene.

The embodiment of the utility model provides a ship cockpit and an electric ship, and relates to the technical field of ship equipment. The electric ship comprises a ship cockpit, the ship cockpit comprises a workbench, the workbench is sequentially divided into a first functional area, a main control area and a second functional area in the width direction of the cockpit, the main control area is provided with a first monitoring screen and a second monitoring screen which are arranged at intervals in the width direction, and the main control area is further provided with an instrument panel. The instrument panel is located on the lower side of the first monitoring screen and the lower side of the second monitoring screen, the first functional area and the second functional area are each provided with a radar interaction unit, at least one of the first functional area and the second functional area is provided with an electronic map display screen, and the electronic map display screen is located on the upper side. A driver can comprehensively use equipment such as the main monitoring screen, the auxiliary monitoring screen, the electronic map display screen and the navigation radar interaction unit to provide omnibearing and high-precision ship information display and monitoring for the driver.

The present invention relates to a multi-objective approach trajectory planning method for an automatic driving bus at a bay-type bus stop, which includes the following steps: Step S1: Set a control area and establish a plane coordinate system; Step S2: Determine the basic operation rules of the bus; Step S3: The multi-objective approach trajectory planning model includes determining the trajectory planning objectives and determining the trajectory planning constraint conditions; Step S31: Select the minimum weighted value of punctuality P, energy consumption E, and comfort C as the objective of the bus approach trajectory planning; Step S32: Determine the constraint conditions of the trajectory planning, considering speed, acceleration, curvature, driving distance, start and end positions, and driving obstacle avoidance constraints; Step S4: Solve the planning model through a sequential quadratic optimization algorithm to obtain the optimal driving trajectory of the bus vehicle; Step S5: Execute the vehicle trajectory according to Step S4; Step S6: Wait for the next round of decision trigger. It can effectively implement the whole process decision-making of the automatic driving bus approaching the station in the bay-type bus stop scenario.

This application discloses a low-altitude airspace planning method and system based on micro-terminal areas, relating to the field of low-altitude airspace planning. The method includes: generating corresponding take-off and landing areas for low-altitude take-off and landing points or fields, and generating take-off and landing hub areas for adjacent take-off and landing points or fields to construct micro-terminal areas of the low-altitude airspace; constructing risk areas, which, together with control areas and no-fly zones, constitute the restricted areas of the low-altitude flight path network; generating alternative intermediate points connecting each take-off and landing point or field based on the restricted areas; constructing an initial low-altitude flight path network connecting all points based on the data of the alternative intermediate points and the data of the micro-terminal areas; calculating the corresponding weights of each edge line in the initial low-altitude flight path network, and optimizing the initial low-altitude flight path network based on the weighted network; and removing redundant intermediate points based on the optimized network, constructing the flight path network and the entry and exit points of each micro-terminal area to generate the final low-altitude flight path network. This application provides a more reliable technical basis for low-altitude flight path network planning.

The application provides a method and system for controlling air-borne radioactivity in a control area cabin of a water surface nuclear power ship. A gradient negative pressure is formed in the control area cabin of the nuclear power ship, such as a nuclear power plant containment cabin, an auxiliary cabin, a pollution monitoring and decontamination cabin, and an access passage cabin, by using facilities such as an exhaust fan and a negative pressure compressor, so that the air-borne radioactivity generated during normal operation of the nuclear power plant is controlled. The application can better limit the range of air-borne radioactivity in the control area cabin, prevent the air-borne radioactivity from spreading and leaking to other cabins, and provide strong protection for the radiation safety of personnel on the nuclear power ship.

The present invention belongs to the technical field of stress detection of rotating parts of aircraft engines, and discloses a stress detection device and detection method for rotating parts of aircraft engines, the device includes an equipment box, a control area is arranged on one side of the equipment box, a mounting box is fixedly installed on the top of the equipment box, a mounting frame is arranged inside the mounting box, an operating table is arranged at the bottom of the mounting frame and is fixedly installed on the inner wall of the bottom of the mounting box, a placement area is fixedly installed on the top of the operating table, an X-ray detector is arranged on the mounting frame, a detection head is arranged at the bottom of one end of the X-ray detection, and a mounting block is fixedly installed on one side of the detection head and located at the bottom of the X-ray detector. Through the movement of the fixed block and the moving rod, the movement of the first light shielding plate, the second light shielding plate and the third light shielding plate can be adjusted multiple times, and the size of the irradiation area of ​​the detection head can be controlled, which is convenient for detecting different parts of the curved surface structure, thereby improving the efficiency of rotating part detection and facilitating use.