5313 results about "Supporting system" patented technology

The invention discloses a cooperative monitoring device and method for a large deep foundation pit complex supporting system, and relates to the technical field of foundation pit supporting. The device comprises a multi-dimensional sensor network module, a BIM-GIS digital twin platform module, an intelligent analysis and early warning module, a construction collaborative decision module, a data backup and recovery module and a remote monitoring and management module. The method comprises the following steps: step 1, carrying out multi-source data space-time registration; step 2, dynamically constructing a digital twinborn model; step 3, coupling risk assessment; step 4, construction collaborative optimization; according to the technical scheme, the method comprises the following steps of data processing, data quality control and system performance evaluation, through three innovations of deep coupling of multi-source data, dynamic model correction and intelligent collaborative decision making, a'monitoring-analysis-decision-execution 'full closed loop is constructed, technical breakthroughs are achieved in complex working condition adaptability, early warning real-time performance and construction safety, and the method has remarkable engineering application value.

The invention provides a building construction site safety monitoring and early warning method and system based on the Internet of Things, and relates to the technical field of data processing.The method comprises the steps that a three-base-point dynamic topological structure is established in a target monitoring domain, a first datum point is arranged at the extension end of the axis vertical line of a slewing bearing of a tower crane, and a second datum point is arranged at the extension end of the axis vertical line of the slewing bearing of the tower crane; the second datum point is embedded in the radial section of a force bearing flange plate of the hydraulic jacking module, the third datum point is fixedly connected to the intersection joint of a deep foundation pit top beam and a supporting system, and a non-collinear vector set is constructed through three-point coordinate offset; and based on the non-collinear vector group, deformation compensation correction is performed on the dynamic calibration parameter set through a vector space topological transformation algorithm, a topological reconstruction data stream containing a displacement gradient tensor and strain energy density is generated, and a risk situation feature space is constructed based on the topological reconstruction data stream. According to the invention, the intelligent construction safety management is realized.

The invention discloses a BIM-based process simulation and consultation service support system and method, and relates to the technical field of three-dimensional modeling and visualization. The system comprises a BIM holographic data acquisition module, a process logic intelligent deconstruction module, a dynamic process simulation engine module, a physical field real-time monitoring module, an expert knowledge decision module and a visual scheme generation module. And multi-dimensional deviation early warning thresholds are set for different construction stages, the accuracy of conflict detection of various processes is ensured, meanwhile, environment illumination parameters collected by a sensor are linked with a BIM rendering engine in real time, the problem of light and shadow distortion in a digital twinning scene can be dynamically corrected, material texture misjudgment caused by illumination color temperature deviation is avoided, and the working efficiency of the digital twinning scene is improved. The accuracy of process conflict early warning is improved, and the construction safety risk and the resource scheduling error are reduced.

The invention discloses an employment and entrepreneurship support system based on artificial intelligence, relates to the technical field of occupational planning, and aims to solve the problem that a traditional support mode is insufficient in individuation and accuracy. The system comprises a multi-modal data acquisition module used for acquiring facial expressions, whole body dynamics and voice data of a user in at least 30 minutes of video dialogue in real time; a dialogue text is processed through a large language model based on a Transform architecture, continuous time sequence modeling is carried out on multi-modal dynamic behaviors by applying a liquid time constant network, and deep fusion reasoning is carried out in combination with multiple groups of multi-head Transform attention mechanisms. The core analyzes the real thought, psychological state, behavior pattern and core ability of the user through consistency verification, generates a structured dynamic user insight abstract, and customizes personalized vocational development or entrepreneurship planning according to the structured dynamic user insight abstract. According to the method, the potential of the user can be deeply informed, high-precision personalized planning is provided, the decision-making quality and success rate are improved, and the method has dynamic adaptation and continuous learning capabilities.

The invention discloses a safety monitoring system of a high transverse support system for cable-stayed bridge man-shaped tower column construction, and relates to the technical field of bridge construction monitoring, the system comprises a creeping formwork integrated sensing module used for generating a point cloud model by using a mechanical arm integrated on a hydraulic creeping formwork platform and a laser radar scanning tower column curved surface, combining with a preset building information model coordinate, adaptively adjusting the mounting posture of the sensor, and outputting the mounting coordinate position of the sensor; the optical fiber sensing network module is used for collecting original strain and temperature data by using a distributed optical fiber sensor deployed along a main stress path of the support truss; an inertial navigation fusion positioning module; a digital twinning early warning module; and an edge calculation relay module. According to the invention, a full-process monitoring chain from data acquisition to risk early warning is constructed through cooperation of multiple modules, full-period and multi-dimensional dynamic control of construction of the human-shaped tower column high transverse support system is realized, and timely perception and overall control of potential risks are ensured.

According to the bearing rigidity optimization and vibration reduction design method for the rotor and the bearing system, under the condition that the structural form of the rotor and the bearing system is not subversively adjusted, the elastic bearing and the extrusion oil film damper are arranged and designed, and the bearing rigidity of the rotor and the bearing system is optimized. The fulcrum rigidity is reduced to change the strain energy distribution of the rotor and adjust the critical rotating speed, and the vibration level of the rotor, especially vibration caused by sudden unbalance and transcritical of the multi-fulcrum rotor, is suppressed.

To provide a search support system, etc. capable of reducing a cost required for search.SOLUTION: There is provided a search support system. The search support system includes at least one processor. The processor is configured to execute the following steps by reading a program: a receiving step of receiving selection of a candidate job opening by an employer from at least one job opening registered in a job opening database; an acquisition step of acquiring job opening information relating to the candidate job opening out of the job opening database; and a presentation step of presenting recommended conditions for searching for candidates suitable for the candidate job opening from search object persons including personnel belonging to organizations or outside organizations that recruit through candidate job openings, on the basis of the job opening information and reference information, where the reference information includes a correlation between the job opening information and the recommended conditions.SELECTED DRAWING: Figure 1

The invention discloses a ship equipment maintenance support system and method based on artificial intelligence, and the system collects the operation data of equipment in real time through a data collection and integration module, and digitalizes and integrates the historical maintenance data into a unified database; a fault diagnosis model is constructed through the model diagnosis module to carry out fault diagnosis and output a diagnosis result; an optimal maintenance scheme is provided through a maintenance decision support system according to a fault diagnosis result in combination with multi-dimensional data; real-time monitoring and trend analysis are carried out on operation data of the equipment through the fault prediction module, potential faults of the equipment are predicted, and a maintenance plan is made in advance. According to the invention, equipment operation data is collected in real time through a sensor, accurate fault diagnosis and prediction are realized in combination with a deep learning algorithm, an optimal maintenance scheme is formulated in combination with multi-dimensional data, and a maintenance plan is dynamically adjusted.

The invention relates to the technical field of construction optimization, in particular to a deep underground engineering construction optimization method and system based on an intelligent support system. According to the technical scheme, stress field, seepage field and deformation field data of surrounding rock are collected in real time; constructing a digital twinborn model, and dynamically updating model parameters; adopting a multi-objective genetic algorithm to optimize support parameters; and executing adaptive control. According to the method, the stress field, seepage field and deformation field data of the surrounding rock are collected in real time through the multi-physics field sensing network, the state change of the surrounding rock can be timely and accurately monitored, meanwhile, the model parameters are dynamically updated so that the model can more accurately reflect the actual situation of the surrounding rock, and the real-time performance of the surrounding rock is improved. And through jet control and anchor rod compensation in self-adaptive control, support parameters can be adjusted in real time according to the actual condition of the surrounding rock, the reliability of a support structure is improved, the stability of the surrounding rock is enhanced, and the safety risk in the construction process is reduced, so that the construction safety is improved.

The invention belongs to the field of soil rock engineering, and provides a three-surface integrated geologic structure modeling method for a deep and large foundation pit in a river-adjacent region, which comprises the following steps: acquiring physical and mechanical parameters and hydrogeological information of the deep and large foundation pit in the river-adjacent region; dividing spatial distribution of different soil layers and rock stratums; describing the influence of water level time variation on the pore water pressure and subsurface erosion of the surrounding rock of the foundation pit through an unstable seepage equation; dividing a finite element or finite difference grid, and applying a dynamic water level and ground load boundary condition; gradually unloading and analyzing the evolution of an underground water flow field and a soil-rock deformation field in each excavation step, and enabling the water surface-ground-soil-rock surface coupling effect to penetrate through the whole excavation process; and numbering the support members, sequentially simulating local failures of the support members, recording the maximum horizontal displacement, the maximum vertical displacement or the change curve of the safety coefficient along with the number of the failure members after each failure of the foundation pit, quantifying the redundancy of the support system, and identifying key members. According to the scheme, the accuracy of the model is improved.

The present invention provides a steel support system for foundation pit support, belonging to the field of foundation pit support, and is used to support the foundation pit in foundation pit engineering. Foundation pit construction is extremely likely to cause damage such as settlement of surrounding buildings and municipal pipelines, so there are very high requirements for construction quality and deformation control. In the prior art, the steel supports that can achieve axial force compensation have problems of high cost and weak structure. This steel support system includes a plurality of steel supports, and both ends of the steel supports are respectively connected to the foundation pit side through quick-installation and quick-disassembly structures. The steel support includes a flexible section and an adjustment section. Two flexible sections are respectively arranged at both ends of the steel support. The flexible section includes a flexible head and a fixed head that are slidably matched, and the adjustment section is arranged inside the steel support. With the cooperation of the sliding function of the flexible section and the telescopic function of the adjustment section, the overall length of the steel support can be adjusted. In the present invention, the entire steel support system only requires a set of servo adjustment mechanisms, having the effects of low cost and high reliability.

The invention relates to the field of communication service support systems, and particularly provides a service provisioning process oriented anomaly identification and automatic compensation method and device, service provisioning process modeling is an ordered process chain composed of a plurality of processing nodes, and each node corresponds to a specific service system operation; a unique flow identifier Flow ID is generated for each service instance and used for whole flow state tracking, execution results, state codes and response time information of all flow nodes are recorded in a flow tracking database in real time, and after execution of each node is completed, events are published for other modules to subscribe to, so that an asynchronous observable link is formed. Compared with the prior art, the method can achieve the closed-loop processing of the abnormal process, remarkably reduces the manual intervention rate, improves the business activation success rate and customer service experience, and improves the stability and reliability of a service opening link.

The invention relates to the field of surrounding rock supporting, and provides an aging cracking and multi-source dynamic response self-adaptive supporting system and method in order to improve the supporting reliability, and the state of surrounding rock is sensed in real time through a multi-source sensing module; the aging damage model can comprehensively and dynamically evaluate the damage state of the surrounding rock of the mixed rock, and progressive instability accidents such as hysteresis rock burst can be effectively prevented; the dynamic disturbance model can analyze the damage effect of dynamic loads such as TBM tunneling and blasting on mixed rock surrounding rock in real time, a millisecond-level dynamic risk assessment result is provided for a self-adaptive support system, and instant instability accidents are effectively restrained. The self-adaptive support of the dynamic execution module is realized by combining the parallel decision of the aging damage model and the dynamic disturbance model, the problem that the traditional support depends on static geological data and is difficult to adapt to the dynamic damage change of the surrounding rock is solved, the stability and reliability of the support system are remarkably improved, and the engineering cost and the safety risk are reduced.

The invention provides a reverse hanging bottom die structure for wharf cast-in-place pile cap construction and a mounting method of the reverse hanging bottom die structure, and belongs to the technical field of wharf construction. The reverse hanging bottom die structure comprises a steel pipe pile, a stand column support arranged on the steel pipe pile, a transverse steel carrying pole arranged on the stand column, a hanging rod system, a limiting system, a supporting main beam structure and a die frame used for pile cap pouring. The supporting performance of the steel pipe cast-in-place pile is fully utilized, the structural steel structure is used for building the reverse hanging bottom die supporting structure for the cast-in-place pile cap, the defects of a welding construction technology of a traditional bracket supporting system are overcome, the supporting structure facilitating cast-in-place construction of the pile cap is provided, and the construction efficiency of a wharf cast-in-place project is effectively improved.

The invention provides a dynamic risk prediction and optimization decision-making method and system for a deep foundation pit construction process. A deep foundation pit numerical simulation model is established, and the model is used for simulating soil mechanical behaviors and supporting system response parameters in the construction process; acquiring multi-dimensional real-time monitoring data of the foundation pit, comparing the monitoring data with a numerical simulation result, and calibrating parameters of the deep foundation pit numerical simulation model according to a comparison result; performing time series data modeling analysis on the real-time monitoring data by using a Transform algorithm, capturing possible risk modes in the construction process, and identifying potential risk signals in the data; on the basis of Transform algorithm analysis and numerical simulation feedback results, the foundation pit construction risk state is predicted in real time, and a real-time risk prediction result is obtained; and according to the prediction result, dynamically adjusting the construction scheme to complete decision optimization. According to the method, the risk management and control capability of the deep foundation pit construction process is remarkably improved, and the construction safety and efficiency are greatly improved.

The invention discloses a suspension cable soft platform formwork structure for silo conical shell construction and a construction method, and relates to the technical field of silo conical shell construction.The formwork structure comprises a suspension cable net system, a formwork supporting system and an intelligent monitoring system.The suspension cable net system comprises main cables and auxiliary cables which are orthogonally arranged; the main cables are radially distributed along the silo top of the silo body, and the auxiliary cables are annularly arranged along the silo top of the silo body in a closed mode. The formwork supporting system comprises an auxiliary scaffold board and a full supporting frame which are arranged in the suspension cable net system, the upper portion of the full supporting frame is of a circular truncated cone structure forming a silo conical shell, a conical shell side wall mold is arranged on the arc face of the circular truncated cone structure, and a conical shell silo top mold is arranged on the upper bottom face of the circular truncated cone structure. The intelligent monitoring system comprises a load sensor and a tilt angle sensor. According to the method, through dynamic coupling of the orthogonal suspension cable net and the modular supporting system and combination of an intelligent monitoring system, precise control over the construction process is achieved, the steel consumption is reduced, the construction period is shortened, and safety and adaptability are improved.

To provide a method for evaluating feasibility of commercialization of corporate commercialization plans or academic papers using generative AI, and a cloud-based commercialization determination support system for implementing the method.SOLUTION: A method for evaluating feasibility of corporate commercialization plans using generative AI and commercialization evaluation scores, includes the steps of: preparing a commercialization evaluation score in which evaluation points are assigned for every piece of evaluation criteria information prepared in advance with respect to a commercialization plan of a target company; inputting the evaluation points assigned to the evaluation criteria information of the commercialization evaluation score and necessary questions or instructions / commands to a generative AI to learn; and causing the generative AI to create a commercialization evaluation relating to the commercialization plan and output it in text or voice. In addition, a cloud-type commercialization determination support system capable of determining commercialization evaluation from a communication terminal has been proposed at the same time.SELECTED DRAWING: Figure 1

To provide a development support system allowing users to freely create nodes and edges on a workspace, the development support system allowing selection of a large-scale language model for every prompt node, and enabling prompt provision (transmission) and acquisition of output results on a per-node basis.SOLUTION: A development support system 1 includes a workspace creation unit and a large-scale language model input / output unit, where a prompt node created on the workspace includes a large-scale language model selection field, a prompt reception field, and an output result display field for displaying an output to a prompt. Each prompt node also enables provision of prompts to the large-scale language model and acquisition of results, and the prompt node displays the output results.SELECTED DRAWING: Figure 1

Disclosed herein are systems and methods for training an AI language model for assessing and improving happiness and wellbeing of a human user, the method comprising receiving a pre-trained AI language model; receiving a first training data set comprising non-user-specific training data comprising brain imaging data; applying one or more supervised training protocols based on the first training data set to modify the pre-trained AI language model to generate a non-user-specific language model configured for happiness and wellbeing support of human users; receiving a second training data set comprising user-specific training data comprising brain-imaging data for a specific user; and applying one or more supervised training protocols based on the second training data set to modify the non-user-specific language model to generate a user-specific language model configured for happiness and wellbeing support of the specific user.

Systems / techniques that facilitate automatic product support systems and methods via generative artificial intelligence (GAI) and customer interactions are provided. In various embodiments, a system can access an electronic interaction record pertaining to a software product. In various aspects, the system can synthesize, via execution of GAI on the electronic interaction record, first text that describes a problem afflicting the software product. In various instances, the system can determine, based on executing the GAI on the first text, whether there is an available software feature in an available software feature repository that addresses or solves the problem. In various cases, the system can, in response to a determination that there is no available software feature that addresses or solves the problem, synthesize, via execution of the GAI on the first text, a recommended design alteration to the software product that would address or solve the problem.

The invention discloses a business data quality treatment method supporting system hidden danger identification, and relates to the technical field of computer information processing, and the method comprises the steps: S1, collecting a real-time batch tracking data stream from an enterprise inventory system through a multi-source data interface, and obtaining an initial data set containing inconsistent formats and missing batch numbers; s2, scanning a data stream according to the initial data set by applying a preset automatic detection rule, judging positions and types of abnormal points by utilizing a rule matching mode and a threshold comparison mechanism to obtain an abnormal point set, and activating a real-time stream analyzer to process field complete verification to generate an abnormal log record; according to the business data quality treatment method supporting system hidden danger identification, real-time and accurate anomaly detection and repair are realized, the consistency and reliability of inventory data are improved, and the enterprise inventory management efficiency is remarkably optimized.

The invention relates to the technical field of building formwork supporting, in particular to a formwork supporting system stress real-time monitoring and early warning system and method based on multi-source sensing, and the system comprises a multi-source sensor network, a data collection and transmission module and a data processing and calculation module. Compared with the prior art in which a rigid alarm mechanism based on a fixed threshold value is generally adopted, the method is essentially a postmortem response mode and cannot quantify the risk level, a probability finite element analysis method is introduced in the scheme, and input parameters such as material characteristics and load conditions are processed as probability distribution; the probability distribution interval of the key mechanical response is generated through Monte Carlo simulation, finally, the risk level is accurately quantified by calculating the tail probability of the actually measured data falling outside the probability interval, and the early warning mechanism based on probability statistics not only remarkably reduces the false alarm rate, but also realizes the essential spanning from pure alarm to risk level evaluation.

The invention discloses a cast-in-place concrete beam construction method based on deformation control, and relates to the field of cast-in-place beam construction. S2, foundation treatment; s3, a support is erected and pre-pressed; s4, a formwork is installed; s5, steel bars and prestressed pipelines are installed; s6, concrete construction; and S7, removing the bracket. BIM modeling and an intelligent monitoring system are combined, the foundation treatment range is expanded, an automatic drainage system is arranged, edge settlement and rainwater soaking are effectively avoided, a support system is selected according to needs, anti-sidesway design is strengthened, stress is accurately simulated through graded automatic loading and pre-pressing, reliable deformation data are ensured through double monitoring, pre-camber calculation is scientific, errors are reduced, and the construction efficiency is improved. Formwork, reinforcing steel bars and prestressed pipelines are installed in a standard mode, the structural quality is guaranteed, concrete construction pays attention to temperature control and maintenance, crack reduction and support dismantling are symmetrically carried out in a grading mode, the springback amount is monitored in real time, and construction safety is guaranteed.

The invention discloses a tunnel construction method for a large deformation section of soft rock, and relates to the technical field of tunnel construction for the large deformation section of the soft rock, and the tunnel construction method for the large deformation section of the soft rock comprises the following steps: drilling shallow large-aperture stress release holes and deep small-aperture stress release holes to form a layered release system; differential pressure grouting is conducted around the stress release holes, and a deep reinforcing ring and a shallow coupling ring are formed; a steel frame is erected, and a three-stage stretching locking bottom supporting assembly is installed to form a closed supporting ring; the bottoms of the adjacent steel frames are crossly connected through prestressed pull rods to form an integral rigid grid; a secondary lining is constructed after the longitudinal attenuation conduction period is judged according to the surrounding rock deformation spatial-temporal characteristics; inverted arch first and then arch wall segmented pouring is adopted, and a delayed expanding agent is doped into arch wall concrete. The method can effectively control surrounding rock deformation in the tunnel construction process of the large deformation section of the soft rock, improves the overall rigidity and stability of a supporting system, ensures that the lining is tightly attached to the surrounding rock, and reduces the construction risk.

The invention relates to the field of bridge construction, and discloses a hexagonal-section large-cut-angle and dip-angle combined tower steel-concrete combined section construction method which comprises the following steps: arranging a strain sensor group and a laser calibration target spot on the outer wall of a steel shell, establishing a pose parameter mapping model through multi-source data fusion, and resolving the six-degree-of-freedom pose of the steel shell in real time; constructing a load matrix based on the strain data, and solving a target stress value of the support rod by adopting a maximum flow-minimum cut algorithm; by adjusting the telescopic amount of the telescopic supporting rod in stages and combining servo motor driving and a closed-loop feedback correction mechanism, balanced distribution of supporting force is achieved; the weight coefficient of the multi-objective optimization algorithm is dynamically adjusted, and the pose precision and the structure safety requirement are balanced; and finally, after the pose convergence and stress balance conditions are met, the driving device is dismantled, and the supporting rod body is reserved to serve as a permanent reinforcing structure. The technical problem that in a traditional method, the steel shell pose precision and the stress balance of a supporting system are difficult to consider at the same time is solved.

The invention discloses a concrete structure tall formwork supporting system stress deformation actual measurement method, and relates to the technical field of constructional engineering structure safety, the method comprises the following steps: determining initial stress distribution reference data through a pre-established supporting system geometric model database, and determining final construction adjustment guidance data; according to the final digital construction scheme, a construction safety assessment report is automatically generated, final conclusion data of safety assessment is determined, a result is fed back to the design optimization module through the data transmission module, and the unsolved uneven stress or deformation problem is extracted from the feedback data; obtaining input parameters of a new round of design optimization, and obtaining a continuously improved design iteration result; according to the actual measurement method for stress deformation of the high and large formwork supporting system of the concrete structure, the design rationality and construction safety of the high and large formwork supporting system are improved, and intelligent and digital whole-process management and control are achieved.

The invention discloses an ultra-deep foundation pit supporting system selecting and monitoring method based on the digital technology, and belongs to the technical field of building construction.By inputting the specification, the geological condition, the hydrological condition and the load condition of a foundation pit into a foundation pit supporting system, a supporting system result meeting the specification is calculated and output; a complete three-dimensional foundation pit supporting system model is rapidly created in combination with Dynamo and Revit, a supporting structure construction drawing is output, and a material list and a calculation report of a supporting structure are generated; then, construction is conducted; the foundation pit supporting system model is imported into the monitoring platform, monitoring data of the foundation pit supporting system are obtained and mapped into the foundation pit supporting system model, and the current foundation pit supporting deformation condition can be visually analyzed; a data resource library is established in the monitoring platform, the monitoring data is compared with the data resource library, and the future foundation pit deformation condition is predicted; and the monitoring platform is connected with an alarm device, and when the monitoring data reaches a threshold value or the predicted deformation condition reaches the threshold value, the alarm device starts to report early warning information.

The invention relates to a complex soft rock double-layer primary supporting super-large section tunnel and a construction method. The complex soft rock double-layer primary supporting super-large section tunnel comprises a long pipe shed cover arch supporting system, a deformation control strong supporting structure, an anti-disengaging early-warning lining pouring trolley, a temporary inverted arch deformation control structure and a buffering yielding supporting system. The method has the beneficial effects that the curved surface formwork can be rapidly installed on the upper portion of the guide pipe and the lower portion of the steel arch frame, the installation efficiency is high, stability is good, and the construction period is shortened; a long pipe shed and a small guide pipe penetrate through the deformation control strong supporting structure and are driven into a tunnel, grouting is conducted, the overall stability of the supporting structure is enhanced, and the complex soft rock geology is reinforced; concrete pouring is monitored in real time, and the compactness of vault concrete is guaranteed; section steel is clamped in the inverted arch, reinforcing connecting ribs are welded between the section steel in a penetrating mode, surrounding rock collapse is prevented, and tunnel construction safety is guaranteed. And a buffer yielding support device is arranged between the interface and the double-layer arch frame, so that the pressure at the interface of the layered rock and soil stratum is in smooth transition, and the overall balance is improved.

The invention belongs to the technical field of aero-engine high-temperature part test, and particularly relates to a thermal mechanical composite fatigue test device in a turbine blade rotation environment, which comprises a high-temperature gas system, a stator system, a rotor system, a support system, a test system, an auxiliary system and a turbine rotor blade test piece, the high-temperature fuel gas system is used for providing a fuel gas environment for a turbine rotor blade test piece and controlling the high-low temperature circulation state of fuel gas, a combustion chamber is arranged at the front end of the high-temperature fuel gas system and provided with a double-oil-way nozzle, a fuel gas flowing system is arranged at the rear end of the high-temperature fuel gas system, and a blade grid structure is designed for the fuel gas flowing system according to the geometrical shape of a turbine rotor blade. And a spray cooling section is arranged at the rear part of the test section. The device is composed of six core systems including a high-temperature fuel gas system, a stator system, a rotor system, a supporting system, a testing system and an auxiliary system, all the systems work cooperatively, and integrated simulation of the high-temperature fuel gas environment, rotating centrifugal loads and heat-force synchronous circulation is achieved.

The invention relates to the technical field of geophysical exploration equipment, and particularly discloses a double-top umbrella type multi-angle adjustable transient electromagnetic transmitting coil array detection device which comprises a main supporting system, a framework supporting system, a coil system, a multi-angle adjusting mechanism and a rapid storage system. The device has the beneficial effects that accurate adjustment in a continuous angle range is realized, and the adaptability of the device to different exploration environments is improved; a double-coil system design is adopted, so that two typical working modes are realized; in structural design, a double-top umbrella type folding structure is combined with a light-weight material, so that the weight of equipment is reduced. According to the device, conversion of multiple detection modes is achieved, traditional multiple fixed angle devices are replaced, the equipment investment cost is reduced, and the equipment operation efficiency is improved.