76results about How to "Reduce dependency" patented technology

The invention discloses a session management method and device, computer equipment and a storage medium. The method comprises the following steps executed by a participating node: receiving a first connection establishment request sent by a coordinating node when the coordinating node is switched from a fault state to a normal state, and obtaining a current state of the participating node; when the current state of the participating node is a normal state, inquiring a participating node session pool by adopting a global unique session identifier, and judging whether a historical local session corresponding to the participating node exists or not; when the historical local session corresponding to the participating node exists, verifying the historical local session based on the version information, and determining and executing a current local session corresponding to the participating node; and when the historical local session corresponding to the participating node does not exist, creating and executing a current local session corresponding to the participating node based on the session parameter information. According to the method, the dependence degree of the participating nodes on the coordination nodes can be reduced, the fault processing complexity and the system resource consumption are reduced, and the fault processing efficiency is improved.

The embodiment of the application provides a kind of training method of image encoder, image processing method, electronic equipment, storage medium and program product, it is related to image processing technical field, the training method of image encoder includes: training image is input image encoder, visual word symbol for representing image feature is extracted by the image encoder;Clothing text word symbol is generated for training image;The clothing text word symbol is used to describe the clothing feature of the person in the training image;The model parameter of the image encoder is iteratively trained using a combination loss function;The combination loss function is used to make the visual word symbol of the same person of multiple training images be smaller, and make the visual word symbol and the clothing text word symbol of the same training image be larger difference.It reduces the degree of dependence on visual information by introducing text modal, increases the precision of image encoder to identify the same person under different clothing, improves the precision and robustness of person re-identification.

This utility model discloses a bulb flat steel with an embedded mounting groove, belonging to the field of bulb flat steel technology. It includes a first steel plate and a second steel plate disposed on the right side of the first steel plate. T-shaped plates are uniformly fixedly connected to the outer right side of the first steel plate. A groove is formed on the right side of the bottom of the T-shaped plate, and a rotating shaft is rotatably connected within the groove. A deflecting plate is fixedly connected to the rotating shaft. T-shaped grooves are uniformly formed on the outer left side of the second steel plate, and a slanted groove is formed on the right side of the bottom of the T-shaped groove. First fixing bolts are threaded to the bottom of the second steel plate. This bulb flat steel with an embedded mounting groove eliminates the need for precise drilling in the bulb flat steel through the embedded fit of the T-shaped plates and T-shaped grooves. During installation, the T-shaped plates are simply inserted into the T-shaped grooves, and initial fixing is achieved through the linkage of the deflecting plate and the slanted groove. This reduces the repeated alignment and tightening steps of traditional bolt connections, lowers the reliance on the installer's skill level, and significantly improves installation efficiency.

The utility model relates to a kind of connecting mechanism and equipment pedestal, belong to laser direct imaging equipment technical field.Connecting mechanism includes positioning and guiding component, is set in the splicing of two adjacent pedestals, for the directional splicing of two adjacent pedestals together;Positioning and guiding component includes the first guide plate and second guide plate respectively set in two adjacent pedestals;First guide plate and second guide plate can be slid along splicing direction relative to the pedestal where it is;One of first guide plate and second guide plate is provided with convex part, and the other is provided with recess part;Convex part and recess part are used to guide and position two pedestals in splicing process;Locking assembly is used to fix two adjacent pedestals.By the guiding and positioning effect of first guide plate and second guide plate and the fixing effect of locking assembly, the accuracy and stability of splicing can be ensured while ensuring the rapid splicing of pedestal.

This invention discloses a target detection method, electronic device, and medium based on knowledge distillation, comprising: inputting a target detection image to be detected into a pre-trained target detection model to obtain target detection results; wherein, the training process of the target detection model includes: acquiring target detection data and constructing it into a labeled dataset and an unlabeled dataset; training a teacher model using the balanced labeled dataset; inputting the unlabeled dataset into the teacher model to obtain confidence-labeled data; combining the unlabeled dataset and the confidence-labeled data, and after filtering, obtaining a confidence dataset; setting a distillation loss function, and training a student model based on the distillation loss function using the confidence dataset to obtain a target student model, i.e., a target detection model; wherein the distillation loss function is the sum of bounding box loss, target loss, and classification loss; wherein the target loss and classification loss are both constructed based on the confidence output by the target teacher model.

The utility model relates to the technical field of round steel processing, in particular to a round steel shearing device which comprises a rack and a bearing frame, a transfer frame is arranged at the top of the rack, a plurality of roll shafts are installed in the transfer frame, a first servo air cylinder is arranged at the top of the bearing frame, and a second servo air cylinder is installed on a piston rod of the first servo air cylinder. A piston rod of the second servo air cylinder is provided with a first fixing plate, the side portion of the second servo air cylinder is provided with a second fixing plate connected with the bearing frame in a fastened mode, and the first fixing plate and the second fixing plate are used for stably clamping round steel. And a shearing tool is rotationally installed at the top of the bearing frame, and a storage barrel is arranged at the bottom of the bearing frame and used for storing residues generated after the round steel is sheared off. According to the round steel shearing device, the working efficiency of round steel machining is improved, the working time of shearing round steel is shortened, the requirement for batch machining can be met, the working precision of round steel machining is further improved, the rejection rate of round steel machining is reduced, and therefore it is guaranteed that round steel machining meets the production standard.

The application discloses a kind of copolymer organic semiconductor devices based on isolation and interconnection and preparation method, including substrate, photoetching blocking layer, insulating isolation layer, N organic field effect transistor and N-1 interconnection line;Photoetching blocking layer includes isolation layer and inorganic dielectric layer;Isolation layer is opened with N longitudinal through isolation groove along length direction;Inorganic dielectric layer includes lower dielectric layer and upper dielectric layer;Lower dielectric layer is located in N isolation, and upper dielectric layer is laid on the top of isolation layer and lower dielectric layer;Each organic field effect transistor includes semiconductor layer, source, drain and gate;Semiconductor layer is laid in the isolation groove at the bottom of corresponding lower dielectric layer section, and its material is organic copolymer.The application effectively utilizes isolation groove and photoetching blocking layer, and the semiconductor layer of different semiconductor materials is wrapped and isolated, so as to realize the integration of different organic field effect transistors on the same substrate, and the organic field effect transistor can realize effective interconnection.

The invention discloses a regular expression generation and intention recognition method, related equipment and a program product, original texts of the same intention label are clustered, regular expressions are generated in a classified mode, it can be ensured that the generated regular expressions are more accurately matched with specific business scenes, and the user experience is improved. And confusion of different types of texts is avoided. Furthermore, through structured combination (de-duplication and similar combination) processing on the regular expressions belonging to the sub-categories of the same intention label, the regular expressions can be more universal, and meanwhile, the high matching accuracy of the regular expressions can be kept. Compared with a method of directly generating a general regular expression for all original texts under one intention label, the regular expression obtained by adopting the method is higher in quality and can better adapt to a complex business scene, and the recognition effect of a subsequent intention recognition task is improved.

The invention discloses a big data management method and system based on semantic analysis, and relates to the technical field of big data management. A multilayer semantic abstract data organization structure comprising a base layer, a mode layer and a statistical layer is constructed, real-time semantic analysis is performed on input data, and semantic descriptors are generated; the high-frequency data instance in the base layer is stored to a corresponding level according to a central semantic index, a semantic folding operation is triggered based on a preset rule, the high-frequency data instance in the base layer is automatically abstracted into a modeled representation of a mode layer, and similar representations in the mode layer are further aggregated into an aggregated representation of a statistical layer; when the query is responded, the system analyzes a query intention and determines a target data abstraction level, high-level aggregation or modeling representation is restored into bottom-layer detailed data as required through reverse expansion operation, and a query result is generated; through the multi-layer semantic abstract data organization structure and the data folding operation, the storage efficiency of mass complex data and the performance of multi-granularity intelligent query are effectively improved.

The application discloses a design method of a jaw pad, a manufacturing method of an invisible orthodontic appliance and the invisible orthodontic appliance, and belongs to the technical field of tooth correction. The disclosed design method comprises the following steps: acquiring a digital dental and jaw model, wherein the digital dental and jaw model at least comprises a maxillary model, a mandibular model and a first occlusal model; constructing a second occlusal model according to the first occlusal model, wherein the second occlusal model comprises complete occlusal relationship information, and the occlusal relationship information at least comprises occlusal space parameters; determining a jaw pad setting area according to a comparison result of the occlusal space parameters and a preset occlusal threshold value, and forming a jaw pad on the jaw pad setting area, wherein the jaw pad is a structure capable of opening posterior teeth occlusion and is formed by closely connecting a plurality of ellipsoidal structures. The disclosed manufacturing method of the invisible orthodontic appliance and the corresponding invisible orthodontic appliance are both based on the disclosed design method. The application can design a reasonable structure of the appliance without depending too much on the experience of designers.

The application discloses a control strategy based on combination of a pre-filter friction compensator and improved repetitive control, and specifically comprises the following steps: step 1, a pre-filter friction compensator is added to a P / PI cascade controller to improve the anti-friction interference capability of a driving system; step 2, a transfer function of an output voltage of the driving system and a tracking error is determined; step 3, specific parameters of a LuGre model in the pre-filter friction compensator are obtained; step 4, a repetitive controller is designed; step 5, an action time period of the repetitive controller determined in step 4 is set at motion commutation to obtain a segmented repetitive control; and step 6, the segmented repetitive control obtained in step 5 is combined with the designed pre-filter friction compensator to form an improved repetitive control framework. The method combines the pre-filter friction compensation control with the segmented repetitive control, greatly improves the error and convergence rate at the motion commutation of each cycle, and reduces the influence of the friction interference on the product processing quality.

A novel automatic reset fixture, relating to the field of aging testing equipment technology, is used for aging testing of devices. From bottom to top, it includes a base plate, a PCB matching board, and a probe limiting plate capable of supporting the device. The PCB matching board has a number of auxiliary probes, and the probe limiting plate has through holes for the auxiliary probes to pass through. Fixture assemblies are respectively arranged on both sides of the PCB matching board. The fixture assemblies include a lower support plate, an upper pressure plate, a flipping plate, a lower pressure plate, two guide shafts, and two compression springs. This fixture is adapted to the automation, flexibility, and intelligent production needs of modern manufacturing, achieving an overall improvement in production quality, efficiency, safety, and control levels through technological optimization, providing reliable tooling support for the stable and efficient operation of the entire production process.

The application discloses a kind of unmanned ship dynamics system identification modeling method and device.The method includes, obtains the identification data obtained by unmanned ship maneuvering test;Establish the dynamics equation of unmanned ship maneuvering;Add genetic factor modification parameter estimation value recursion form in RLS algorithm, based on particle swarm optimization algorithm, parameter optimization in the dynamics equation according to the identification data, establish unmanned ship dynamics system identification model.The method introduces genetic factor on the basis of traditional RLS algorithm, and is improved in combination with PSO optimization algorithm, improves the accuracy of model identification.

The application discloses a bolt tightening method based on a vision-language-action model, and belongs to the technical field of intelligent manufacturing. The method comprises the following steps: collecting scene image data of a target bolt and a workpiece region around the target bolt, extracting multi-scale visual features from the collected scene image data, and obtaining a multi-scale visual feature vector Fv; performing semantic analysis on a natural language instruction to obtain a language feature vector Fl; performing cross-modal feature alignment on the Fv and the Fl to obtain an aligned feature vector Fvl; performing action decoding and parameterized mapping processing on the Fvl to generate an action parameter vector Fd; inputting the Fd into a control execution module to perform kinematics solving and control instruction generation, so as to drive an automated execution device to complete a bolt tightening operation. The method can improve the accuracy, adaptability and stability of bolt tightening operation under complex working conditions, and effectively reduce the labor cost of bolt tightening work.

The application discloses a prebaked anode, characterized in that the raw material for preparing the prebaked anode comprises aggregate and binder, wherein the aggregate comprises calcined petroleum coke and / or coal-based coke, and the binder comprises low-ash high-caking bituminous coal. The prebaked anode product prepared according to the application has better homogeneity and better product performance, the raw material source of the prebaked anode is expanded, and the dependence of the prebaked anode raw material on petroleum coke and coal pitch is reduced.

The invention relates to a method and system for performing prediction and formula fitting on a secondary electron spectrum by using an LASSO model, and the method comprises the steps: selecting a plurality of feature dimensions, and constructing a basic prediction formula; constructing a descriptor pool; constructing a data set based on the descriptor pool, building an LASSO model, and determining an optimal hyper-parameter of the LASSO model; and performing secondary electron spectrum prediction by using the LASSO model with the optimal hyper-parameter, and combining a final prediction formula based on a prediction result and the basic prediction formula. Compared with the prior art, the method has the advantages that a symbolized prediction result can be given, the problem that many black box model results are difficult to explain is solved, the prediction result can be used for analyzing the influence and importance of different factors on the secondary electron energy spectrum, the secondary electron emission phenomenon can be further analyzed and researched, and the performance of related devices is improved.

The utility model relates to the technical field of tetrapanax papyriferus processing equipment, in particular to a modularized automatic coring device for tetrapanax papyriferus, which comprises a feeding mechanism, a section cutting mechanism, a feeding mechanism and a coring mechanism. The tetrapanax papyriferus stem cutting machine is reasonable and compact in structure, the feeding mechanism can automatically arrange tetrapanax papyriferus stems in order and continuously convey the whole tetrapanax papyriferus stems to the belt conveyor one by one, the shape righting mechanism can straighten bent tetrapanax papyriferus, the section cutting mechanism can automatically cut the whole tetrapanax papyriferus stems into a plurality of sections according to the set length, and the cutting efficiency is improved. The cut tetrapanax papyriferus stem sections can enter the feeding mechanism along the guide plate and are conveyed to the clamping assembly to be clamped, and finally tetrapanax papyriferus cores are jacked out of the tetrapanax papyriferus stem sections through the core taking mechanism. In the process, manual cutting is not needed, the degree of dependence on manpower can be greatly reduced, potential safety hazards are avoided, the ricepaperplant pith coring operation efficiency is high, the labor intensity of operators is reduced, all procedures can be automatically linked, and ricepaperplant pith coring operation can be continuously carried out.

The application belongs to the technical field of electrical insulation materials and nanocomposite material preparation, and discloses a method for preparing aramid composite insulation film by sorting long halloysite nanotubes. In the method, the halloysite nanotube raw material is sorted by natural settlement in water to obtain long halloysite nanotubes, which are then compounded with aramid nanofibers, and the composite insulation film with a dense staggered layered structure is prepared through spray film forming, solvent replacement and heat pressing densification treatment. The obtained film has excellent mechanical properties, insulation properties and high-temperature stability, and is resistant to acid, alkali, salt and organic solvent corrosion, and has good moisture-proof characteristics after hydrophobic modification. The sorting process is green and environmentally friendly, does not require organic additives, has excellent comprehensive performance, and is suitable for high-end insulation fields such as dry-type transformers, new energy motors and aviation electrical appliances.

The utility model provides a new energy and gas-electricity coupled low-carbon-based charge source which comprises a new energy power generation field, a fused salt heat storage system, a gas power station and a power generation system. The fused salt heat storage system is of a cold and hot tank circulation structure, and the new energy power plant is connected with the fused salt heat storage system through the first heat exchange unit. The fused salt heat storage system is connected with the power generation system through the second heat exchange unit; the gas power station is connected with the power generation system through the third heat exchange unit. According to the utility model, energy conversion and space-time translation of heat energy are realized through new energy heat exchange coupling and fused salt heat storage technologies, so that a stable base charge power supply is formed; wherein the gas unit is used as a flexible adjusting power supply, and is used for quickly responding when the new energy output is suddenly reduced or the load is suddenly increased so as to make up a power gap; according to the cooperative operation mode, the flexibility advantage of gas power generation is brought into play, the dependence degree on gas resources is reduced through new energy replacement, meanwhile, overall carbon emission reduction of the system is achieved, and the system conforms to the clean, low-carbon, safe and efficient energy development direction.

The application discloses a special feed for fattening pigs rich in functional amino acids, which comprises the following components in parts by weight: a core functional amino acid composition 3-5 parts, a low-soybean meal multi-protein matrix 60-70 parts, a nutrition synergistic component 20-25 parts, an anti-nutritional factor degradation agent 1-2 parts, and a micro-ecological and plant extract component 1-2 parts. A preparation method comprises the following steps: obtaining the low-soybean meal multi-protein matrix by pretreating raw materials; preparing the core functional amino acid microcapsule; mixing the basic materials and then performing low-temperature section granulation; after cooling, mixing the micro-ecological and plant extract component at low temperature; and finally screening and removing impurities and unqualified particles to obtain the finished product. The application optimizes the amino acid ratio and the preparation process, protects the activity of the amino acids, adapts to different growth stages of the fattening pigs, improves the growth performance and carcass quality, improves the raw material digestion rate, reduces nitrogen emission, and has strong applicability.

The invention provides a direct shear test soil parameter calibration method fusing numerical simulation and machine learning, and relates to the field of geotechnical engineering. According to the direct shear test soil parameter calibration method fusing numerical simulation and machine learning, high-fidelity finite element numerical simulation, Kernel PCA dimension reduction, a PINN agent model and Bayesian parameter inversion are subjected to systematic deep fusion for the first time. The progressive damage process from the edge to the interior and non-uniform stress-strain distribution of a soil body in a direct shear test are precisely restored through high-fidelity finite element numerical simulation, low-dimensional essential characteristics of a high-dimensional response curve are extracted through a dimension reduction method, and a constitutive model and a strength criterion are embedded into an agent model to guarantee physical rationality. And finally, parameter estimation is realized through a Bayesian parameter inversion framework. The combination solves the interference of non-uniform stress and strain of the soil body in the direct shear test on parameter calibration, so that the calibration result better fits the actual mechanical property of the soil body.

The utility model provides a pile machine with a data monitoring function. The pile machine comprises a pile machine support, a pile machine base, a drill bit, a power system, a tilt angle sensor, a pressure sensor, an encoder, a positioning sensor and a controller. The tilt angle sensor is installed on a pile machine support, connected with the controller and used for sensing the tilt angle of the pile machine support and sending the tilt angle to the controller. The pressure sensor is installed on the stress face of the drill bit, connected with the controller and used for sensing the pressure bearing state of the drill bit and sending the pressure bearing state to the controller. The encoder is installed in a transmission structure of the power system, connected with the controller and used for sensing the rotating speed of the power system and sending the rotating speed to the controller. The positioning sensor is installed in the installation base, connected with the controller and used for sensing the coordinates where the pile machine base is located. The pile machine with the data monitoring function has the advantage that the inclination angle, the pressure and the coordinates of the whole drilling machine can be monitored in an all-around mode.

This utility model discloses a semi-automatic dispensing device, relating to the technical field of pharmaceutical dispensing equipment. The semi-automatic dispensing device includes a housing, first to third flow components, a manual dispensing device, a manual verification device, and multiple conveying mechanisms. The inlet and outlet of the housing are located at the same horizontal end. The first flow component extends from the inlet, conveying the medicine barrel assembly to the first loading station and the first transfer station. The second flow component extends from the outlet, conveying to the second loading station and the discharge station. The third flow component is located at one end of both, connecting the first and second transfer stations. The manual dispensing device and manual verification device are respectively located beside the first and second flow components, corresponding to the dispensing and verification stations. Controlled by the conveying mechanisms, the operation cycle is shortened. The third flow component can operate independently when the robotic arm is busy or malfunctioning, ensuring continuous flow of medicine barrels, avoiding backlog and downtime, improving system stability and reliability, and reducing reliance on the robotic arm and maintenance costs.

An accelerator and dry fire extinguishing system and a method for exhausting and water filling thereof. The accelerator for dry fire extinguishing system comprises a valve body, a valve cover, a differential pressure starting assembly; the differential pressure starting assembly comprises a diaphragm, a connecting body, a transmission column and a sealing gasket seat. The dry fire extinguishing system comprises the accelerator and further comprises a water supply pipe network, an air filling pipe network and a dry alarm valve. The method for exhausting and water filling of the dry fire extinguishing system comprises the following steps: the accelerator guides the gas in the air filling pipe network into the middle cavity of the dry alarm valve. The application has better sealing effect and smaller dependence on the spring with the increase of air pressure. The exhaust passage has large sectional area and large exhaust capacity. The pre-tightening force of the spring is adjusted to control the starting sensitivity by screwing the plug; the three-way air inlet can be flexibly connected, and the pressure relief port can be connected to the middle cavity of the dry alarm valve group to destroy the pressure balance in the cavity and start quickly; the independent coaxial check valve core design ensures that the upper cavity is not leaked when the lower cavity is relieved.

The application relates to the field of semiconductor devices and provides a preparation method of a long-wavelength VCSEL, which comprises the following steps: sequentially laminating and growing an N-InP buffer layer, a bottom DBR structure and an N-InP space layer on an N-InP substrate to form a first epitaxial wafer; taking out the first epitaxial wafer, taking photoresist as a mask, injecting H ions into the N-InP space layer by using an ion implantation technology, further passivating part of the N-InP space layer to form a passivation area, and forming a light-emitting area by the unpassivated N-InP space layer; removing the mask to obtain a second epitaxial wafer; annealing the second epitaxial wafer and cleaning the surface; sequentially laminating and growing a P-InAlAs space layer, a quantum well area, an N-InAlAs space layer and a top DBR structure on the N-InP space layer of the second epitaxial wafer to form a third epitaxial wafer; and preparing the third epitaxial wafer by using a conventional optoelectronic device preparation method to obtain a long-wavelength VCSEL device. The process is simple.

This invention provides a method, apparatus, processor, and engineering equipment for identifying the support state of outriggers, belonging to the field of engineering machinery. The method for identifying the support state of outriggers is applied to engineering equipment including outriggers. An image acquisition device is installed on the outrigger to acquire image sequences. The method includes: acquiring the position information of target feature points in the image sequence; determining a valid point set based on the position information of the target feature points, wherein the valid point set is a collection of valid target feature points, and the displacement change along the height direction between adjacent valid target feature points reaches a preset displacement change amount; determining the cumulative displacement change of the valid target feature points along the height direction based on the position information of the valid target feature points; and determining the support state of the outrigger based on the cumulative displacement change amount. This invention can reduce reliance on operators and improve equipment operation safety.

The invention provides a control method, device and equipment based on electroencephalogram signals. The method comprises the steps of outputting a first visual signal under the condition that a user establishes a connection with a signal acquisition device, the first visual signal being used for guiding the user to perform motor imagery about a first task; receiving an electroencephalogram signal of motor imagery of the user in the process of outputting the first visual signal; the electroencephalogram signals are analyzed through a pre-trained classification model, labels of the electroencephalogram signals and a first instruction are obtained, and the first instruction is a control instruction for the first task; sending a first instruction to equipment corresponding to the first task; the classification model is obtained by training based on a first fusion signal, and the first fusion signal is a signal obtained by fusing an electroencephalogram signal induced by a visual signal, an electroencephalogram signal induced by an auditory signal and a physical sign signal. According to the method, the intention of the user can be accurately recognized, the correct control instruction is generated, and the external equipment is accurately controlled according to the electroencephalogram signal.

The invention provides a multi-modal data fusion characterization method and a multi-modal data fusion characterization system for commercial vehicle frame performance prediction, which are applied to the technical field of vehicle frame data modeling. Extracting structure topological parameters, section construction parameters, material attribute parameters, connection parameters, P-S-N curve data and field response data, and forming a target domain data set and an independent test set; then establishing a frame full-parameterization finite element model, combining actual measurement load spectrum statistics and derivation to generate a virtual load sample, extracting a two-dimensional load damage characteristic matrix, and constructing a source domain data set; and finally mapping the geometric topology feature, the parameter feature, the connection feature and the load feature to a unified three-dimensional voxel space to generate a three-dimensional multi-channel engineering data tensor. According to the method, the commercial vehicle frame sample construction efficiency, the multi-modal data utilization efficiency and the generalization ability of the performance prediction model can be improved.

The utility model relates to a kind of mobile platform for linear polyurethane polishing disc production line, including long and narrow type's platform body, the top surface of platform body is set with several fixed hole groups along its length direction, every fixed hole group includes four cross holes arranged in rectangle, the cross hole is formed by the vertical intersection of two waist type holes;Roller is installed in the width direction of the bottom surface of platform body one side, the other side extends downward and forms the protrusion for guiding, the lowest of protrusion is flush with the lowest of roller;The side of the width direction of platform body is provided with clamping unit;The side of the width direction of platform body top surface is provided with leaning rod unit, the leaning rod unit with the fixed hole group one to one correspondence;Advantages are that: through movable platform, the movement of mould unit between each station is realized, worker or equipment on station is facilitated to work, production efficiency and automation degree are greatly improved, the degree of dependence on manual is reduced, and cost is reduced.

The application relates to a multi-chassis adaptive modular adapter chassis and a use method thereof. Since the number of two longitudinal beams is fixed, and various sizes of cross bars and girder connecting structures are arranged, when different chassis are responded to, only the corresponding size of the cross bar and the girder connecting structure need to be replaced, the integral replacement is not needed, the cross bar and the girder connecting structure are regarded as replaceable modules, the dependence degree of platform superstructure and the chassis is reduced, the independence of the chassis is improved, the design response speed of the multi-chassis demand is improved, meanwhile, the overall structural precision of the device can be better ensured, the adaptive efficiency of the platform superstructure and the chassis is improved, the chassis adaptive cost is reduced, and the problem that the platform superstructure and the chassis cannot be one-to-one matched during product development due to different customer group demands and repeated design is solved.