69results about How to "Avoid divergence" patented technology

The invention relates to the technical field of glass bottle defect detection, and particularly discloses glass wine bottle body defect optical detection equipment and detection method.The optical detection equipment comprises a conveying belt, and a clamping mechanism, a lifting rotating mechanism, a detection mechanism and a sorting mechanism are sequentially arranged on the conveying belt from the feeding end to the discharging end. The detection end of the detection mechanism is attached to the bottle body of the glass wine bottle for optical detection, the receiving end of the detection mechanism receives the light in the glass wine bottle, the light directly reaches the receiving end in the bottle after passing through a bottle body material, and a signal path is relatively fixed, so that the interference of ambient light or reflection of surrounding objects on an optical signal can be effectively reduced. The bottle body of the glass bottle has a certain thickness, deviation of light scattering and refraction is easy to occur when light passes through the thickness of the glass in traditional external detection, the error can be reduced by matching of an external detection end and an internal receiving end, fine defects such as bubbles, cracks or tiny scratches are helped to be captured, and the detection stability is improved.

The invention relates to a 3D printing method capable of accurately arranging various powder materials and a printing device thereof. The 3D printing method comprises the following steps that at least two kinds of powder are placed in powder material bins with the corresponding number; each material in the same layer is arranged and formed after the former material is arranged and formed; the material arranging and forming method comprises the following steps that a powder distributing plate is moved to a powder material bin, the top face of the powder distributing plate is covered with an area where powder needs to be arranged through electrons, materials are adsorbed to the corresponding position of the bottom face of the powder distributing plate through charge polarization, and the powder distributing plate is moved to the position above a forming bin; electrons on the top surface of the powder distribution plate are removed to enable the powder to fall into a forming area, and the powder distribution plate is moved away for forming; thus, part forming is achieved by printing layer by layer in areas. Powder is adsorbed in a designated area through charge polarization, when the powder distribution plate moves to the corresponding position of the forming bin, adsorption of the powder distribution plate to the powder is eliminated, and multiple materials are accurately arranged on the same layer.

The utility model relates to the technical field of bag-type dust collectors, and discloses a bag-type dust collector capable of collecting dust, the bottom of a dust collector body is provided with a dust hopper, the bottom of the dust hopper is fixedly communicated with a dust discharge pipe, the bottom of the dust discharge pipe is fixedly communicated with a dust cover, the inner wall of the dust cover is provided with a guide groove, and the guide groove is communicated with the dust hopper. Guide blocks are slidably connected to the interiors of the guide grooves, water tanks are fixedly connected to the two sides of the dust remover body, water conveying pipes fixedly communicate with the bottoms of the water tanks, water pumps are arranged on the lower sides of the water conveying pipes, and atomizing nozzles are fixedly connected to the lower ends of the water conveying pipes. The dust can be collected, the dust cover prevents the dust from diffusing to the air in the process of falling into the collecting box, the water pump, the dust cover and the like are arranged to be matched with the water conveying pipe for use, the water pump sprays water mist into the collecting box through the water conveying pipe to wet the dust, and the situation that the dust is raised again to cause air pollution is avoided.

The invention discloses an industrial robot motion pose error calibration method based on constraint solution. The industrial robot motion pose error calibration method comprises the steps that S1, joint angles, tail end coordinates and temperature data of multiple measurement points are collected; s2, correcting the kinematic model by using the thermal elongation and constructing a parameter identification model; s3, constructing a mixed integer nonlinear constraint pool according to mechanical limitation; s4, introducing a semi-definite programming slack variable to convert the non-convex constraint into a linear matrix inequality; s5, combining a primal-dual interior point method and an alternating direction multiplier method to iteratively solve the optimal kinematics parameter correction; s6, introducing a square root information filtering improvement mechanism to correct a state vector square root factor, and calculating an updated nominal kinematics parameter; and S7, based on the condition number of the error Jacobian matrix, judging observability and repeatedly calibrating. According to the method, the problem of precision reduction caused by thermal errors is solved, and the identification precision, the numerical stability and the self-adaptive calibration capability of the kinematics parameters of the robot are improved.

The invention relates to the technical field of inertial navigation, in particular to an inertial navigation data correction method based on a neural network, which comprises the following steps: firstly, collecting original data of an inertial measurement unit and preprocessing; secondly, generating an attitude error label by using a high-precision reference system, and constructing a training data set containing historical time sequence information in a sliding window mode; then constructing a hybrid neural network model, and performing iterative training by using the training data set; and finally, in real-time navigation, obtaining an inertial data sequence at the current moment by maintaining a historical data buffer area, inputting a trained model to predict an error compensation value, correcting an original calculation attitude, and outputting the corrected original calculation attitude. The method gets rid of dependence on an accurate physical model through a data driving mode, utilizes the hybrid neural network to deeply mine time sequence accumulation characteristics of inertial data, realizes long-endurance high-precision autonomous navigation, and remarkably inhibits divergence of attitude errors.

The utility model discloses an aluminum plastic film production ultra-high temperature heat setting device which comprises a workbench, a box body is arranged on the surface of the top of the workbench, and through holes are formed in the surfaces of the two sides of the box body in a penetrating mode. According to the aluminum-plastic film forming device, an aluminum-plastic film to be processed is introduced into the box body on the working table, the aluminum-plastic film can be heated and formed through the matched use of the heating roller and the infrared heating pipe, and the processing process can be performed in a relatively closed environment through the matched use of the working table and the box body; according to the aluminum plastic film forming device, the heat is prevented from being dissipated to the outside of the box body during processing, so that the situation that workers around are scalded due to high temperature can be avoided, the defects during use are reduced, the safety of the aluminum plastic film forming device during use is improved, and the aluminum plastic film forming device can heat and shape an aluminum plastic film at the same time through matched use of a heating roller and an infrared heating pipe. And the aluminum plastic film can be subjected to heat setting processing at a relatively high temperature, so that the processing quality of the aluminum plastic film can be improved.

The invention discloses a channel estimation method of an NOMA (Non-Orthogonal Multiple Access) system based on vector approximate message passing, which comprises the following steps of: firstly, based on the sparsity of channel pulse response in a time domain, adopting Bernoulli-Gaussian distribution as prior distribution of the channel pulse response; then obtaining the joint probability of the received signal and the channel pulse response according to the Bayesian theory, and designing a factor graph model of channel estimation according to the joint probability; and finally, iteratively solving the posterior probability of the channel impulse response according to the factor graph and a sum-product algorithm, and updating unknown hyper-parameters in prior distribution through an expectation maximization algorithm in the iteration process, thereby obtaining an optimal channel estimation value. The method has the advantages that accurate channel prior information does not need to be provided, the mean square error and the bit error rate of channel estimation are reduced, and the calculation complexity is low.

The invention discloses a multi-source fusion continuous positioning method in combination with a prior feature map, and aims to solve the problem that an existing vision-inertial odometer easily generates accumulative errors in a GNSS denial environment, the method comprises the following steps: constructing a prior feature map comprising key frame poses, feature point descriptors and 3D coordinates based on an open source algorithm; a track displacement difference alignment strategy is adopted to complete visual-inertial system and GNSS joint initialization, and ESIKF is used to replace EKF to improve fusion precision; robust alignment of a local coordinate system and a map coordinate system is achieved through a single-frame geometric constraint accumulation-batch manifold alignment strategy; based on the reverse PnP, the current 3D point cloud and the historical 2D observation constraint are utilized to resolve the relative pose, the map matching result is used as observation to be fused with the GNSS or replace GNSS observation, the ESIKF loose coupling is utilized to eliminate accumulative errors, and continuous high-precision positioning in the GNSS failure scene is achieved.

The utility model provides side slope concrete spraying equipment which comprises a slope top moving mechanism and a slope bottom moving mechanism which are arranged on the top of a side slope and the bottom of the side slope, a guide mechanism parallel to the side slope is arranged between the slope top moving mechanism and the slope bottom moving mechanism, and a spraying mechanism capable of sliding in the height direction of the side slope is arranged on the guide mechanism. A lifting mechanism connected with the spraying mechanism is arranged on the slope top moving mechanism, a concrete spraying machine is arranged on the slope bottom moving mechanism, and the conveying end of the concrete spraying machine is connected with the spraying mechanism through a telescopic hose. The moving mechanisms are arranged at the top and the bottom of the side slope and matched with the guide mechanism parallel to the side slope, so that the spraying mechanism can stably ascend and descend along the guide mechanism, ecological concrete is accurately sprayed to the side slope, mechanization and continuity of spraying operation are effectively achieved, and the working efficiency is improved. And the phenomena of concrete dispersion and waste caused by long distance and large height in manual operation are avoided, and the spraying uniformity and the construction quality are remarkably improved.

The present application belongs to the technical field of water heaters, and specifically relates to a fire grate, a burner and a gas water heater. The present application aims to solve the problem that the arc-shaped flame holes of the existing fire grate lead to poor flame gathering effect. The fire grate of the present application includes an inner shell and an outer shell, and a connected introduction channel and a main air flow channel are formed in the inner shell. The outer shell includes a top plate and two second side plates, and the ends of the second side plates are connected to the inner shell. An auxiliary air flow channel is formed between the second side plate and a part of the inner shell located on the inner side of the second side plate, and a through hole is provided on the inner shell forming the auxiliary air flow channel to connect the auxiliary air flow channel and the main air flow channel. A plurality of combustion holes are provided on the top plate, and some of the combustion holes corresponding to the main air flow channel form main flame holes, and some of the combustion holes corresponding to the auxiliary air flow channel form auxiliary flame holes. The cross-sectional area of ​​the auxiliary flame hole is smaller than the cross-sectional area of ​​the main flame hole. The auxiliary flame formed by the auxiliary flame hole can limit the main flame, thereby improving the gathering effect of the flame.

The utility model discloses a medical waste classification disposal box which comprises a box body, classification assemblies are evenly installed in the box body, and an opening assembly is installed on the side wall of the box body. According to the medical waste classification disposal box, a garbage bag is arranged in a placement barrel in a sleeved mode, a limiting ring is clamped and installed in the placement barrel to fix the garbage bag, different medical wastes are placed in a classified mode through label pages, a rotating cover is pressed to drive a balancing weight to rotate, and a collection barrel can be placed at the position, corresponding to a liquid discharging pipe, of the bottom of the box body to facilitate collection; and when the placement barrel needs to be taken out, the placement barrel can be moved upwards to drive the supporting column to be separated from the interior of the supporting groove, then the placement barrel is taken out to be cleaned, medical waste can be classified, collected and treated, later unified collection and treatment are facilitated, a rotating cover can prevent peculiar smell from diffusing, and the placement barrel can be rapidly taken out to be cleaned.

The utility model discloses a waste heat utilization device for conveying continuous casting billets, which belongs to the technical field of steel production and comprises a conveying rack, a plurality of conveying rollers are rotatably connected onto the conveying rack, the continuous casting billets are conveyed onto the conveying rollers, a recovery box is arranged above the conveying rack, a waste heat recovery component is arranged on the recovery box, and the waste heat recovery component is connected with the conveying rack. One side of the waste heat recovery assembly communicates with a water inlet pipe through a pipeline, the water inlet pipe is arranged on one side of the recovery box body, the side, away from the water inlet pipe, of the waste heat recovery assembly communicates with a water outlet pipe, and the water outlet pipe is located on the side, away from the water inlet pipe, of the recovery box body. The waste heat recovery assembly heats boiler water circulating in the waste heat recovery assembly to the saturation temperature, the boiler water heated to the saturation temperature is guided out through the water outlet pipe, the protection assembly can effectively avoid heat dissipation in the recovery box body, waste heat of continuous casting blanks conveyed on the conveying rollers can be effectively utilized, and the continuous casting blanks can be recycled. The boiler water is heated or enters a deaerator to serve as make-up water.

The application discloses a radar target stable tracking method under a shielding environment, and comprises the following steps: a northeast two-dimensional coordinate system is established, and a target ship state is mapped into a state vector; a Kalman filter is used for prediction, a residual error and an innovation covariance matrix are calculated in combination with actual observation, and an elliptical threshold is constructed; if the observation falls into the threshold, the state is updated; otherwise, the observation is judged as a mismatched observation, and short-time missed detection prediction is performed; a sliding time window is set, when the number of mismatched observations in the window reaches a threshold, shielding judgment is performed in combination with the geometric relationship among the predicted positions of the ship and the target and the boundary of a static obstacle; if the condition is met, a shielding maintaining mode is entered, and the target track is continuously estimated by adjusting filter parameters or a predicted track; when a plurality of continuous observation frames fall into the threshold and the geometric shielding is removed, normal tracking is recovered through smooth transition. The application can effectively solve the problem of tracking interruption caused by the shielding of a radar target, and improve the continuity and stability of tracking under a shielding environment.

The invention relates to the technical field of industrial robot load identification, in particular to a six-degree-of-freedom robot end load parameter identification method, which comprises the following steps: establishing a six-degree-of-freedom series robot dynamical model, reconstructing a load minimum parameter set, and determining that identification can be completed only by exciting a third joint, a fifth joint and a sixth joint. Designing four groups of symmetric excitation trajectories combined by Fourier series and quintic polynomials, and performing discrete sampling to generate an observation matrix; optimizing a load parameter set and a regression matrix, and reducing the condition number of an observation matrix; a load minimum parameter set is obtained through difference calculation of the no-load identification result and the on-load identification result; and based on the parameter set, solving the mass, the mass center coordinate, the inertia moment and the inertia product of the load. The method solves the ill-conditioned problem of a regression matrix by reconstructing the minimum parameter set, reduces the number of excitation joints, does not need to depend on a robot body kinetic model, and has the advantages of high identification precision, high stability, low experiment complexity and high efficiency.

The application discloses a communication-restricted multi-agent tracking control method for trains, which comprises the following steps: S1, for a high-speed train dynamics model, a train formation dynamics model is designed; S2, a non-singular sliding mode surface is designed, which is brought into a dynamics equation, an equivalent control law and a total control law are designed; S3, a fixed threshold strategy is designed based on a control input signal error, and an event trigger condition is constructed; S4, through information interaction of adjacent vehicles, unmeasured states are estimated by using local measurable states, full-state feedback is provided for a controller, and a distributed observer is designed; the application has the beneficial effects that an improved terminal sliding mode surface is designed by using a non-singular terminal sliding mode surface, wherein the non-singular terminal sliding mode surface is a coprime odd number, fraction exponent irreducibility is ensured, periodic oscillation is avoided, and the singularity problem of traditional sliding mode control in time is eliminated by the fraction exponent term.

The application belongs to the technical field of integrated circuits, and particularly relates to a reconfigurable photonic sampling analog-digital converter control method, system and device, which comprises the following steps: S1, obtaining a starting safety configuration, performing an initialization self-check, and when the initialization self-check results all satisfy preset safety starting conditions, the initialization self-check is passed; S2, after the initialization self-check is passed, a target analysis frequency band is determined based on a target working interval, an initial sampling configuration is obtained, calibration samples corresponding to each activated channel are collected, and a coarse calibration configuration is obtained; S3, continuously sampling an analog signal to be converted to generate a performance state frame, performing deep learning analysis based on the performance state frame, and outputting an error estimation result; and S4, generating a candidate control vector according to the error estimation result, performing safety constraint auditing on the candidate control vector, taking the candidate control vector that passes the auditing as a system control vector, and performing target parameter soft updating in the system control vector. The application can be used for data conversion circuit design in a high-performance measurement system.

The invention relates to the technical field of motor control, and discloses an electrical transmission system parameter self-tuning system based on a neural network, and the system comprises a state monitoring and gating module which is used for activating the system when the high-frequency energy characteristic of a torque instruction exceeds a threshold value; the homomorphic mapping and reference reconstruction module is used for constructing a homomorphic digital filter to convert a torque instruction into a homomorphic instruction aligned with a feedback speed time sequence; the momentum residual calculation module is used for calculating the difference value between the theoretical impulse and the actual momentum increment based on the momentum theorem; the morphological decoupling and reasoning module is used for calculating morphological similarity between the residual vector and the reference vector by using the neuron structure so as to output confidence; and the parameter updating module is used for adjusting the adaptive updating gain according to the confidence coefficient and iteratively correcting the inertia parameter. According to the method, through signal homomorphic reconstruction and waveform form reasoning, the influence of loop delay and load disturbance is effectively inhibited, and the accuracy and robustness of parameter setting are improved.

The present application relates to the technical field of refractory maintenance, and discloses a kind of refractory precast piece maintenance device and method, the method comprises: offline calibration green body obtains moisture migration and diffusion coefficient;Surface and core matrix suction are calculated based on the mechanics model of unsaturated porous medium;Internal moisture mass migration flux is calculated by combining temperature difference and suction difference;Nonlinear index coupling surface evaporation flux and internal migration flux obtain dynamic skinning index;With core temperature saturated vapor pressure as boundary, effective accumulation gauge pressure is calculated by combining skinning index and superimposed thermal stress to obtain comprehensive burst risk index;Finally, according to this, adaptive closed-loop feedback is executed, and kiln temperature rising rate and target relative humidity are dynamically adjusted.The present application quantifies the thermal and moisture migration law of multiple physical fields, realizes adaptive closed-loop control of anti-skinning and anti-burst, and significantly improves the precast piece yield and maintenance safety.

An upper light-emitting unit of the light-emitting assembly comprises an upper light-emitting module, an upper light guide module and an upper focus lens, the top of one end, close to the upper light-emitting module, of the upper light guide module is provided with an upper total-reflection curved surface, the bottom of the upper light guide module is provided with a total-reflection plane, and one end, away from the upper light-emitting module, of the upper light guide module is provided with an upper free-form curved surface. The upper light emitting module, the upper total reflection curved surface, the total reflection plane, the upper free curved surface and the upper focus lens are sequentially arranged along a light path; the lower light-emitting unit comprises a lower light-emitting module, a lower light guide module and a lower focus lens, the top of the end, close to the lower light-emitting module, of the lower light guide module is provided with a lower total-reflection curved surface, the end, away from the lower light-emitting module, of the lower light guide module is provided with a lower free-form curved surface, and the lower light-emitting module, the lower total-reflection curved surface, the lower free-form curved surface and the lower focus lens are sequentially arranged along the light path. The utility model further discloses an ADB car lamp assembly using the light-emitting assembly.

The invention relates to the technical field of hydrological monitoring and computer vision, in particular to a hydrological station flow monitoring system and method based on deep learning, and the method comprises the steps: synchronously collecting the water level time sequence data of a river section and a video key frame flow containing water surface texture; converting the water level time sequence data into a corresponding water passing area numerical value and a hydraulic radius numerical value; outputting a flow state feature vector representing the dispersion degree of the water surface flow velocity; outputting a physical parameter vector changing along with time; calculating a moving average value of the river course roughness coefficient in a preset time window; judging whether the moving average value is greater than a preset siltation alarm threshold value or not; if the judgment result is yes, generating a river deposition early warning data packet and sending the data packet to a remote monitoring terminal; otherwise, generating a state log of normal operation of the river channel and storing the state log into the local database; the limit that a traditional flowmeter can only output numerical values is broken through, and a key diagnosis basis is provided for operation and maintenance and flood control decision making of a hydrological station.

The invention relates to a power generation method for powering at least one electrical grid of an aircraft using a power generation system, the aircraft comprising two power supply paths, each power supply path comprising an electrical converter and a generator, the power system comprising two regulation units (21a) respectively associated with each power supply path, each regulation unit (21a) comprising a correction module (5), the correction module comprises an integral corrector (CI), the method comprising the following steps performed for the correction module (5): determining a power setpoint (PBP *) from a distribution voltage setpoint (VDC *) and a measurement of the distribution voltage (VDC); determining a divergence indicator (M3) from the gradient (GPBP *) of the power setpoint (PBP *); and resetting the integral corrector (CI) of the adjustment unit (21a) of the power supply path according to the divergence indicator (M3).

The present invention discloses a portable intelligent urine analyzer, and relates to the field of urine analysis, the portable intelligent urine analyzer comprises a container body, the front surface position of the container body is provided with a urine analysis assembly, the interior of the container body is fixedly provided with an analysis bin, and the interior of the container body and the interior of the analysis bin are sealed and embedded with a test paper bracket; the container body is stably fixed on the outer side of the hanging rod through the clamping mechanism; the closing mechanism in the container body is opened while the clamping mechanism is driven, the urine collecting hopper is inserted into the feeding opening, and odor in the container body can be dissipated to the outside through closing of the closing mechanism. According to the portable intelligent urine analyzer, the discharging pipe is arranged, the bottom of the discharging pipe extends into the analysis bin and is located over the test paper bracket, in addition, the container body is stably placed through the arrangement of the clamping mechanism, and therefore urine of a male patient can be stably collected and treated conveniently.

The application discloses a backdoor attack method based on a learnable frequency domain trigger and belongs to the technical field of artificial intelligence security. The application solves the technical problem of developing a new backdoor attack paradigm integrating a learnable frequency domain mask and a self-adaptive optimization mechanism for security detection and evaluation of a deep learning model. The application comprises the following steps: S1, constructing a learnable frequency domain trigger, wherein the trigger comprises two types of learnable parameters; S2, generating a poisoned image, wherein the poisoned image is obtained by transforming an original image; S3, three-stage progressive training, wherein a backdoor attack is performed on a classification model to be attacked; S4, dynamic regularization and self-adaptive optimization, wherein a regularization loss term is introduced to constrain the learnable frequency spectrum amplitude parameter and the learnable frequency mask, an overall objective function is defined, and the weight coefficients of the regularization loss terms are dynamically adjusted according to the current attack success rate; and S5, model saving and performance evaluation.

The application provides a signal type recognition method based on reinforcement learning, and relates to the technical field of artificial intelligence.The method comprises the following steps: performing zero-mean normalization processing and slicing operation on IQ data of training signals to generate IQ sample data; constructing a data set with one-hot labels; constructing a deep learning strategy network and a deep learning target network; iteratively performing a training process: extracting a sample data from the data set as a current state; selecting an action according to an epsilon-greedy algorithm, executing the action, and obtaining a reward and a next state according to the corresponding relationship of the data set; updating the parameters of the deep learning strategy network by a back propagation method according to the loss value calculation result and an optimizer, and outputting a deep learning strategy network model; inputting a signal to be recognized into the trained deep learning strategy network, and outputting a final signal type by a voting algorithm.The method can realize efficient recognition of communication signal types, and has strong signal recognition accuracy and generalization ability.

The invention relates to the technical field of computational fluid mechanics, in particular to a multi-stage axial flow compressor full-ring unsteady efficient numerical simulation method and system, and the multi-stage axial flow compressor full-ring unsteady efficient numerical simulation method comprises the following steps: performing steady calculation on a whole-stage single-channel grid flow field to obtain single-channel data of each stage; periodically copying the ith-level single-channel data into a full ring to obtain ith-level full-ring data; combining the ith-level full-ring data with downstream single-channel data of other levels, and performing unsteady calculation to obtain ith-level full-ring data information; periodically copying the (i + 1) th-level single-channel data into a full ring to obtain (i + 1) th-level full-ring data; (i + 1) th-level full-ring data is combined with downstream single-channel data of other levels, ith-level outlet full-ring-current field data serves as an (i + 1) th-level full-ring inlet boundary, and (i + 1) th-level full-ring data information is obtained through unsteady calculation; and obtaining all-ring data information in the rest single-channel periods in sequence, and combining the all-ring data information to obtain whole-level all-ring unsteady data.

This invention discloses a robust aggregation method and system for federated learning based on multidimensional logs and deep reinforcement learning, applicable to federated learning systems including a server and multiple clients. The method includes: initializing a global model, a deep reinforcement learning agent, and an experience replay pool on the server side; sending the global model to each client and receiving local model updates; extracting multidimensional feature vectors and constructing a feature matrix through standardization and normalization; calculating the statistical moments of all client feature vectors, constructing a global state vector independent of the number of clients, inputting it into the agent's policy network to obtain an indicator weight vector; obtaining a corresponding comprehensive reputation score from the indicator weight vector and the feature vector of each client, introducing a temperature coefficient and normalizing it to obtain aggregation weights; weighted aggregation of the local model updates of all clients to update the global model; and updating the agent network parameters based on the accuracy of the new global model on the validation set as a reward signal.

The invention discloses a dynamic wear process simulation prediction method and device for inter-structure long-period large wear loss and a storage medium, and relates to the technical field of nuclear reactor fretting wear. The method comprises the following steps: constructing a finite element model among a plurality of to-be-analyzed components based on initial morphology parameters of the plurality of to-be-analyzed components; according to a grid reconstruction condition, based on the finite element model and the wear model, executing a preset operation in a segmented manner to obtain a wear depth set and a morphology parameter of each segment; determining wear process distribution based on the wear depth set and the morphology parameter of each segment; the preset operation comprises the following steps: detecting that a grid reconstruction condition is met; and stopping calling the finite element model and the wear model of the current time period, determining a wear depth set and morphology parameters of the current time period, updating the morphology parameters of the finite element model, calling the updated finite element model and wear model, and determining a wear depth set and morphology parameters of the next time period.

The invention belongs to the technical field of infrastructure site management and control and safety management, and provides an infrastructure site management and control method and device based on multi-source data fusion, and the technical scheme is that operation data of large-scale buildings such as an operation site, a transmission tower and the like are transmitted back, the site construction quality, site equipment and machinery monitoring is realized, and meanwhile, the safety of the large-scale buildings is guaranteed. Data information is analyzed when the two ends of the pole tower are subjected to unbalanced tension under the side sinking condition of the pole tower, the non-uniform sinking condition and the actual condition around the power transmission line are combined, and the inclination state and the local stress state of the pole tower are analyzed according to the inclination data monitored by the power transmission line pole tower inclination monitoring system on site. The method is advantaged in that an actual power system is guided to carry out timely and effective prediction and early warning on pole tower inclination, data support is provided for prevention of power transmission line pole tower collapse, an algorithm combined with deep learning inclination distance measurement is provided in combination with on-site monitoring images, pole tower inclination monitoring is further realized, and result reliability is improved.

The application discloses a kind of tower deviation calculation method and system of multi-tower cable hoisting system based on single-tower linkage correction, and relates to the technical field of bridge engineering;The application is used to solve the problems of insufficient precision of traditional equivalent modulus method under the working condition of small initial cable tension and large tower top displacement, and iterative divergence caused by ignoring geometric nonlinearity of full-tower correction method.The method comprises the following steps: step S1: input system parameters, calculate the unstressed cable length of each span by iterative calculation using the elastic catenary equation, and determine the initial equilibrium state of the system;Step S2: initialize the deviation of all towers to zero, and calculate the span length of each span as the original span length;Step S3: execute the main iterative cycle based on single-tower linkage correction;Step S4: output the final deviation of each tower, the horizontal force at the end of each span cable and the horizontal elastic stiffness.The application can realize high-precision and stable convergence calculation of tower deviation under any initial tension and load working condition, and provides a reliable scheme for the final design and construction control of multi-tower cable hoisting system.

The invention relates to the technical field of conductive connection, in particular to a wire harness terminal crimping method and a crimping device thereof.The wire harness terminal crimping method comprises the following steps that a, a circle is cut on the periphery of an insulating skin at one end of a cable in the circumferential direction through a cutting tool, so that the insulating skin at one end of the cable is cut off, and the insulating skin at the other end of the cable is cut off; the cut insulation skin forms a leather sheath capable of moving on the periphery of the wire core, the axis of the cable is set to extend in the front-back direction, and the leather sheath is located at the front end of the cable and can move forwards on the periphery of the wire core; b, the leather sheath is moved forwards by a set distance, a part of the rear end of the leather sheath is sleeved outside the wire core so as to wrap the wire core, and an exposed wire core is arranged between the leather sheath and the rear uncut insulation sheath; and c, pressing a wire harness terminal outside the exposed wire core. According to the invention, the problem that the wire core is dispersed to the periphery is avoided, the crimping efficiency is improved, and tight crimping is ensured.