2559 results about "Tension control" patented technology

The present application relates to the field of wire laying control technology, and discloses a composite material automatic wire laying forming optimization method, system, medium and wire laying machine. The method comprises: inputting dynamic tension control data into a fuzzy neural network calculation engine to obtain a dynamic compensation model for the retraction and release speed; based on the dynamic compensation model for the retraction and release speed, using a reinforcement learning engine to calculate the shearing sequence of multiple bundles and generate an intelligent shearing instruction set; constructing a re-delivery trajectory mapping relationship based on the intelligent shearing instruction set, and forming a re-delivery path matrix after iterative calculation by a digital twin engine; establishing a temperature field distribution prediction model based on the re-delivery path matrix, and constructing a temperature field dynamic control sequence after finite element analysis and calculation; substituting the temperature field dynamic control sequence into a multi-objective constraint equation, and outputting a laying strategy data packet after deep reinforcement learning iterative optimization. The present application realizes the precise coordination of multiple process parameters such as tension control, speed compensation, shear control, and temperature control.

The invention relates to a winding tension control method and system. The method is applied to a winding tension control device, the device comprises a tension control part and a linear speed control part, and the method comprises the following steps: acquiring a real-time tension detection value and a tension set value of the tension control part, calculating a tension error and a tension error change rate, and performing fuzzy reasoning according to a fuzzy control algorithm to obtain a linear speed control value; pID output parameters are obtained through integral separation PID and used for indicating and controlling a first servo motor of a tension control part; and acquiring a real-time linear speed value and a linear speed set value of the linear speed control part, calculating a linear speed error and a linear speed error change rate, and inputting the linear speed error and the linear speed error change rate into the PID compensation model based on a fuzzy control algorithm to obtain a PID compensation parameter for indicating and controlling a second servo motor of the linear speed control part. According to the method, the tension and the linear speed are subjected to fuzzy control and PID control respectively, the control precision can be improved, and the stability, the response speed and the production efficiency of the winding process are effectively improved.

The invention provides a pipeline optical cable laying state monitoring method and system based on artificial intelligence, and the method comprises the steps: obtaining an optical cable vibration signal, and generating a vibration feature data set based on the optical cable vibration signal; constructing a mechanical equilibrium equation based on the vibration characteristics of the vibration characteristic data set, and calculating the stress states of the optical cable in different pipeline environments; obtaining the current laying tension, generating a control strategy, and adjusting the laying tension to obtain an updated tension value; constructing an anomaly detection model of the spatial-temporal characteristics to generate an anomaly score, and identifying whether the optical cable is abnormal or not in real time; and generating an updated laying strategy and a construction quality report based on the corrected tension control signal. The problems of abnormal stress, monitoring lag, lack of intelligent optimization and the like in the prior art can be effectively solved, and the safety, stability and construction efficiency of optical cable laying are improved.

The invention discloses a scraper chain tension detection device for a mining scraper conveyor and a tension control method. The scraper chain tension detection device comprises a connecting seat, a pressure detection assembly and a data processor, the connecting base is fixed to a U-shaped groove in the middle section of the machine tail side plate. The pressure detection assembly comprises a base, a floating block, a pressure sensor and a gland; the base is installed on the connecting base, one end of the gland is installed on the base, the other end of the gland extends towards one side of the scraper chain, so that the gland and the upper edge of the machine tail form a channel for the axe end of the scraper to run, the pressure sensor is installed on the lower end face of the gland, and the floating block is installed on the side, facing the scraper chain, of the base in a sliding mode. The floating block is located under the pressure sensor. And the data processor establishes communication connection with the pressure sensor. The positive pressure of the axe end of the scraper on the upper edge is detected through the pressure detection assembly installed on the upper edge of the machine tail, and then the tension condition of the scraper chain is judged by detecting the tension of the scraper chain on the upper portion of the machine tail and serves as the basis for adjusting the tension of the scraper chain.

The invention relates to the technical field of automation control, in particular to a blocking quality control method and system based on a blocking robot, and the method comprises the steps: carrying out the filtering of original tension data of a power line in a vibration environment, and obtaining the tension filtering data; obtaining a wire expansion amount according to the wire surface temperature data; controlling the tension to return to a preset tension range according to the wire expansion and contraction amount and the tension filtering data, acquiring tension distribution data of each network cable fixing point on the power line after tension control is completed, and simulating by using a finite element analysis method to obtain a network cable fixing state simulation result; determining a network blocking quality optimization compensation parameter based on the network cable fixed state simulation result and the tension fluctuation data in the network blocking operation process; and performing adaptive regulation and control on the operation parameters of the network blocking robot based on the network blocking quality optimization compensation parameters. According to the method, through technologies such as finite element analysis, stable and efficient wire blocking under the vibration environment and the temperature change is realized, and the safety of power grid operation is ensured.

The invention belongs to the technical field of spinning tension control, particularly relates to an intelligent self-adaptive spinning tension control method and system, and aims to solve the problems that an existing traditional tension control method often depends on simple PID (Proportion Integration Differentiation) control and is difficult to deal with complex dynamic changes, and the control precision is high. In order to solve the problems of low tension control precision, low response speed and incapability of adapting to various textile materials and process requirements in the prior art, the invention provides the following scheme: the method comprises the following steps of: 1, establishing a detailed tension dynamic model based on the Newton's second law and the quality, acceleration, friction force, gravitational acceleration and external disturbance factors of a fabric in a textile process; 2, converting a kinetic equation of a time domain into a complex frequency domain, and establishing a transfer function of a Laplacian domain to describe the response of the system to input and disturbance; the response speed and stability of the control system are improved, the controller further has the adaptive capacity, and control parameters can be adjusted according to real-time feedback so as to meet control requirements under different working conditions.

The invention relates to an equipment automatic control technology, and discloses an automatic control method and device for textile manufacturing equipment and electronic equipment, and the method comprises the steps: obtaining historical parameter data of a textile loom, and building a textile tension mechanical model according to the historical parameter data; generating a tension compensation curve according to the spinning tension mechanical model and the historical parameter data; generating a fuzzy neural network controller by using the historical parameter data and the tension compensation curve; and performing dynamic parameter adjustment on the pre-acquired real-time parameters of the textile loom by using a fuzzy neural network controller and the tension compensation curve so as to realize automatic control of the textile manufacturing equipment. The tension control capability of the textile manufacturing equipment can be improved.

The invention provides a western-style clothes cloth sewing method under structural hierarchy analysis, and relates to the technical field of clothes manufacturing processes, and the western-style clothes cloth sewing method comprises the following steps: cutting and overlapping according to a preset sewing scheme to form an initial structure; performing three-dimensional simulation by using a 3D visual collector to generate an edge position set; planning a stitching path; a self-adaptive tension control system is used for monitoring tension in real time, and the cloth feeding speed and stitch force of the sewing machine are adjusted in a self-adaptive mode; and performing edge sewing on the initial structure through the sewing system according to the sewing path, the cloth feeding speed and the stitch force. The technical problem that in the prior art, due to the fact that elastic fabric is prone to tensile deformation in the sewing process and sewing lines are not uniform, the sewing position deviates can be solved, tailoring is carried out through the preset scheme, three-dimensional simulation is carried out through the 3D visual collector, the edge position is accurately determined, the accuracy of the sewing position is improved, and the sewing efficiency is improved. Therefore, sewing quality and efficiency are improved.

The invention discloses a winding device and method for alloy steel wire machining, and relates to the technical field of alloy steel wire production, the winding device comprises a first frame body, a second frame body and a winding disc for winding a steel wire and further comprises a winding part, the winding part is installed on the first frame body and used for winding the steel wire, and the winding part comprises a positioning assembly and a winding assembly; the positioning assembly is used for positioning the winding discs of different sizes, and the winding assembly is used for driving the winding discs to rotate so as to wind the steel wires. The device has the advantages that friction force generated between the device and a rubber wheel in the guiding and winding process can be reduced to zero, so that the tension control precision is improved, meanwhile, the wire feeding and discharging angle between a steel wire and the rubber wheel is controlled in the guiding process, it is guaranteed that the steel wire is fed and discharged smoothly, the tension control stability is kept, and the production efficiency is improved. And the tension control is more accurate and stable.

The invention relates to an underwater robot take-up and pay-off device and a take-up and pay-off wave compensation method. The device comprises a cable storage winch, a wave compensation component, an A frame, a swing stopper, load equipment, an umbilical cable and a controller, and the umbilical cable is connected with the cable storage winch and the load equipment. The wave compensation component comprises a base, a swing support, a first driving component, a first guide wheel, a sliding base, a second driving component, a first force measuring shaft pin and a first encoder, the swing support is connected with the base, the sliding base slides along the swing support, and the first guide wheel is installed on the sliding base. The A frame is connected with a ship body and provided with a motion reference unit; the oscillation stopping device comprises a second guide wheel, a second force measuring shaft pin and a second encoder and is installed on the A frame. The load device is provided with an inertial measurement unit. Through the controller, based on intelligent switching of tension control and wave compensation modes, the first driving part achieves passive compensation, the second driving part adjusts the tension of the umbilical cable according to the heaving motion, and safe and efficient operation of equipment is ensured.

The invention discloses an intelligent tension control datamation method and system, and relates to the technical field of tension control. An intelligent tension control datamation system comprises a target equipment tension acquisition module, a target equipment tension prediction module and a target equipment tension adjustment module. The real-time tension information and the parameter information of the target equipment are acquired at preset time intervals, so that the state of the equipment is monitored and analyzed in real time; the tension data in the next preset time interval can be predicted by using the target equipment tension prediction model, so that the potential tension deviation problem can be found in advance; by comparing the to-be-analyzed tension data with the predicted tension data, whether the target equipment needs to be adjusted or not can be actively judged, instead of passively responding only after the tension exceeds a preset range; and the target equipment parameter control model can output an optimal parameter control scheme according to the prediction information and the current parameter information, and the equipment performance is optimized.

A method is provided for manufacturing flooring planks including a plastic base and an image plastic layer. The method includes a feeding step of feeding a layered raw material of a long decorative material to be rolled into oppositely rolling rollers; and a rolling step of hot rolling an embossing on the transparent plastic layer. A feeding tension of a printed plastic layer is adjusted according to a longitudinal deviation between the embossing and the pattern in the rolling step. The device includes a first feeding device, a second feeding device, the oppositely rolling rollers, a detecting device, and a tension controller disposed on the second feeding device. According to the long decorative material with the embossing in register with the pattern manufactured by the method, the embossing hot-rolled on the transparent plastic layer is in register with the pattern on the printed plastic layer.

The invention discloses a multi-mode intelligent tension self-adaptive control method, and belongs to the technical field of tension control of wire rod processing devices. According to the method, an LSTM-Transform hybrid model is utilized to realize the collaborative optimization control of tension prediction, the rotating speed and the pitch; by means of an edge computing architecture and a Modbus-TCP real-time communication protocol, a data processing and control instruction generation period is compressed to be within 50ms, and the dynamic response capability of a system is improved; and meanwhile, a graded safety protection mechanism is designed, a robust control mode is switched to at a millisecond level when vibration energy exceeds a limit or the temperature is abnormal, and the MES system is linked to push a fault code, so that the control precision is remarkably improved, the material loss rate and the operation and maintenance complexity are reduced, and a high-reliability and self-adaptive intelligent solution is provided for high-speed wire rod processing equipment.

The invention provides an aluminum material shearing machine pressure self-adjusting feeding system based on synchronous rollers, relates to the technical field of aluminum material shearing machines, and adopts three synchronous rollers to be mounted in a mounting groove in the surface of a turntable through a movable block, a pneumatic telescopic rod and a pressure sensor in a combined manner to form multi-point support and tension control on an aluminum material. The console collects an extrusion force signal output by the pressure sensor in real time, calculates an actual pressure value in the horizontal direction through a pressure decomposition algorithm in combination with a turntable angle output by the angle sensor, compares the actual pressure value with a preset tension threshold value to generate an error signal, and drives the pneumatic telescopic rod to dynamically adjust the position of the synchronous roller; and when the error exceeds a set range, the servo motor can be controlled to adjust the angle of the turntable, and the wrapping angle of the synchronous roller is changed to realize tension compensation. The conveying tension of the aluminum material under the complex working condition is kept stable, the conditions of loosening, wrinkling, deviation and too tight snapping are avoided, and therefore the stability of the aluminum material in the conveying process and the follow-up shearing precision are improved.

The invention provides a model predictive control-based steel plate tension dynamic optimization method and system. The method comprises the following steps of: obtaining material characteristic parameters of a high-strength steel plate; according to the material characteristic parameters, predicting the tension change of the high-strength steel plate and defining a voltage regulation parameter range of an electric control valve by utilizing model prediction control so as to generate a voltage regulation instruction matched with the material characteristic parameters; according to the rotating speed adjusting requirement and the real-time load state of the driving motor, an optimized pulse sequence is generated through the pulse modulation technology; determining a duty ratio adjustment direction and a duty ratio adjustment proportion according to the voltage adjustment instruction so as to obtain a pulse sequence after duty ratio adjustment; and by means of the voltage adjusting instruction, the trigger phase of the pulse sequence with the duty ratio adjusted is corrected, so that the rotating speed of the driving motor is synchronously matched with the tension adjusting variable, and synchronous self-adaptive optimization of the tension control response speed and the material characteristic change in the production process of the high-strength steel plate is achieved.

The invention discloses a coating machine unwinding tension control method which is characterized by comprising the steps that S1, parameters, operation data and tension data of a coating machine are collected, and a state-space equation of an unwinding tension control system is established; s2, constructing an obstacle function; s3, combining the obstacle function and constructing a non-singular sliding mode surface function; s4, solving an equivalent controller for controlling tension according to the non-singular sliding mode surface function; s5, optimizing key parameters of the equivalent controller by using an aurora optimization algorithm; s6, designing a self-adaptive control rate for improving the anti-interference capability of the unwinding tension control system; the adaptive control rate is combined with the equivalent controller, and a total control signal is output; s7, performing unwinding tension control on an unwinding tension control system according to the master control signal; according to the scheme, the speed of dynamic response can be adjusted, finite time convergence is enhanced, steady-state errors are eliminated, singularity is avoided, convergence is accelerated, and therefore high-precision control over an unwinding tension control system is achieved.

The invention discloses monofilament prepreg yarn dry-method winding equipment and a tension control method, and relates to the technical field of composite material forming, the monofilament prepreg yarn dry-method winding equipment comprises an unwinding yarn box, a yarn roll is connected with a driving motor and used for outputting yarn, the yarn is wound on a hook leg buffer mechanism after being led out of the yarn roll, and the hook leg buffer mechanism is used for adjusting the tension of the yarn; a main shaft is rotatably arranged on the gantry frame in the length direction, and a mold is arranged on the main shaft; the moving trolley is in sliding connection with the gantry frame in the length direction of the gantry frame, the moving trolley is provided with a yarn winding nozzle, the yarn winding nozzle corresponds to the mold, and the yarn enters the yarn winding nozzle after being led out of the hook leg buffering mechanism and is wound on the mold. According to the invention, high-speed automatic winding of monofilament prepreg yarns can be realized, the automation degree is high, and the production efficiency is improved. The yarn tension output by each yarn roll is independently adjusted based on the tension after stranding, the control precision of the yarn tension is improved, the tension is kept stable, and therefore the yarn winding quality is improved.

The invention discloses a tension servo control method and system suitable for multiple scenes, and belongs to the technical field of tension servo control. Comprising the following steps: respectively installing a tension sensor and an encoder at specified positions based on structural characteristics of an execution mechanism, simultaneously acquiring a pressure signal # imgabs0 # of the tension sensor and a pulse signal generated by the encoder at a specified frequency, and converting the pressure signal # imgabs1 # into a digital signal to obtain a current tension value # imgabs2 #; based on the pulse signal, rotating speed conversion is carried out to obtain the current rotating speed # imgabs3 # of the tension roller, the current rotating speed # imgabs4 # is combined, a rolling diameter calculation formula is utilized to obtain the current rolling diameter # imgabs5 #, PID parameters are dynamically adjusted by adopting the current rolling diameter # imgabs6 #, and a self-adaptive fuzzy algorithm is constructed; and the current tension value # imgabs7 # and the current rotating speed # imgabs8 # serve as input, and a control variable # imgabs9 # is obtained through calculation. The tension control system is different from a tension control system based on a PLC in the prior art, signal identification and data output are directly carried out through the encoder, the PLC scanning period is omitted, and the control efficiency is improved.

The invention discloses an impregnated yarn sample preparation device and a sample preparation method thereof, and belongs to the technical field of impregnated yarn sample preparation equipment.The impregnated yarn sample preparation device comprises a rack, and a yarn unwinding mechanism and a winding mechanism are arranged on the rack; a twist control structure, a tension measuring module, a resin infiltration module and a forming module which are fixed to the top of the rack are sequentially arranged between the yarn unwinding mechanism and the winding mechanism. Real tension control and measurement, twist control, impregnation efficiency improvement and section measurement and control in the impregnated yarn sample preparation process are achieved, the controllability and preparation efficiency of the technological process are remarkably improved, and the problems that in the prior art, the sample preparation technology is weak in adjustment capacity and low in preparation efficiency are solved.

The invention relates to the technical field of metal rolling automation, and discloses a computer intelligent control system of a rolling mill, which comprises a rolling mill production line, and the rolling mill production line further comprises a tensiometer, a pressure sensor and a displacement sensor; and the computer intelligent control system is electrically connected with an executing mechanism and a sensor of the rolling mill production line and comprises a tension control module, an automatic thickness control module and an online model self-adaptive module. The method comprises the following steps: controlling strip steel tension through a tension control module; the strip steel outlet thickness is adjusted through the thickness automatic control module; and model parameters such as rolling mill rigidity and friction compensation are identified in real time in the rolling process through an online model self-adaption module, and continuous optimization of the control model is achieved. By introducing the online model adaptive module, real-time online correction of the core physical model of the control system is realized, and the problem of model mismatch caused by equipment wear and working condition change is solved.

The invention belongs to the technical field of automatic control, and particularly relates to a digital control system for strip coiling equipment, which comprises the following steps of: firstly, comprehensively acquiring strip tension data and state characteristic information by combining a tension sensing assembly and image acquisition equipment, dynamically adjusting a braking torque parameter, and then, acquiring a dynamic control signal by taking the linear speed of a coiling machine as a target signal; the speed of the uncoiling machine and the speed of the traction roller are synchronously aligned through a following strategy, then a taper tension control mode is adopted, the tension value is dynamically adjusted in combination with real-time coiling diameter parameters, the tension stability and the coiling regularity in the coiling process are ensured, and finally the strip deviation problem is detected and processed in real time according to a closed-loop deviation correction mechanism. The equipment control strategy in the strip coiling process is deeply bound with uncoiling control, synchronous coordination, coiling control and a deviation correction core module, and the integrated control capability of multivariable coordination and self-adaptive optimization is achieved, so that the automation and intelligence level of the strip coiling process is effectively improved.

The invention relates to the technical field of belt conveyors, and discloses an intelligent tensioning control method and system for a belt conveyor. According to the method and system, a dynamic mathematical model is constructed by collecting the current, rotating speed and torque parameters of a driving motor and combining hydraulic cylinder pressure and turnabout drum bearing force data, and high-precision indirect estimation of belt tension is achieved; a progressive adjustment strategy is adopted, the displacement of the hydraulic cylinder is dynamically adjusted according to tension deviation, mechanical abrasion is reduced, and system reliability and severe environment adaptability are improved. The method has the beneficial effects that the tension control error is reduced, the hydraulic action frequency and the maintenance cost are reduced, and meanwhile, the operation efficiency and safety of the conveyor are improved.

The invention provides a composite material winding machine and a winding method, and belongs to the technical field of dry winding, the composite material winding machine comprises an underframe, a clamping mechanism mounted on the underframe, a walking trolley mounted on the underframe, and an angle control mechanism and a tension control mechanism mounted on the walking trolley; the winding angle of the composite material strip is strictly controlled through the angle control mechanism, the tension of the composite material strip is adjusted through the tension control mechanism, it is guaranteed that the tension and the wall thickness are uniform when the composite material strip is wound, and it is guaranteed that a product obtained after winding forming is stable in performance and attractive in appearance.

The invention provides a glass fiber cloth warp tension control system. The glass fiber cloth warp tension control system comprises a double-sensor measuring unit, a signal processing unit, a control unit and an execution unit which are electrically connected. The double-sensor measuring unit comprises a front-end strain type tension sensor and a rear-end strain type tension sensor; the front-end strain type tension sensor is arranged between a let-off roller and a dropper of the weaving machine and is used for acquiring tension data of an upstream position of warp yarns; the rear-end strain type tension sensor is arranged between a reed and a cloth roller of the weaving machine and is used for acquiring tension data of the whole fabric; the signal processing unit comprises a first signal conditioning module, a second signal conditioning module and a data fusion module; the control unit comprises a basic PID (Proportion Integration Differentiation) module, a tension prediction module for operating a tension prediction algorithm based on an LSTM (Long Short Term Memory) neural network, a compensation calculation module and a control fusion module; the execution unit comprises a let-off motor. The present invention improves the control accuracy of warp tension control of a loom.

The invention relates to the technical field of tension control in the material processing process. The electromagnetic coil winding tension control method comprises the steps that real-time state information is input into a wire rod type recognition model to obtain wire rod type information, and a corresponding tension adjusting model is called from a tension control model library based on the wire rod type information to adjust the winding tension of the electromagnetic coil. And inputting the real-time state information into the tension adjustment model to obtain tension adjustment parameter information, comparing the tension adjustment parameter information with preset tension safety boundary information to generate limited adjustment instruction information, executing tension adjustment operation according to the limited adjustment instruction information to obtain feedback tension information, and sending the feedback tension information to the server. The feedback tension information and the limited adjustment instruction information are compared and analyzed, a real-time tension adjustment result is obtained, and if the real-time tension adjustment result meets the target tension range, the current tension adjustment state is kept. The wire winding device has the effect of achieving accurate adjustment of the wire in the winding stage.

A method is provided for manufacturing flooring planks including a plastic base and an image plastic layer. The method includes a feeding step of feeding a plastic layer into oppositely rolling rollers; and a rolling step of hot rolling an embossing on the plastic layer. A feeding tension of the plastic layer is adjusted according to a longitudinal deviation between the embossing and the pattern in the rolling step. A device includes a first feeding device, an oppositely rolling rollers control device, a detecting device, and a tension controller disposed on the first feeding device. The method, the device and the long plastic layer with the embossing in register with the pattern processed use the method, implement the embossing rolled on the plastic layer in register with the pattern on the plastic layer and have high production efficiency, low cost and less energy consumption.

The invention relates to the technical field of rolling forming machine control, and discloses a self-adaptive tension control system of a dry-method electrode continuous rolling forming machine. The system is composed of a tension generation module, a state evaluation module, a dynamic compensation module, a strategy optimization module, a production management database and a rolling execution mechanism. The tension generation module collects original tension data in real time at a transmission node; the state evaluation module analyzes the operation state and generates a tension stability evaluation report; the dynamic compensation module calculates the material deformation compensation amount according to the report and generates a dynamic regulation and control instruction; the strategy optimization module optimizes a strategy and outputs a parameter packet in combination with the instruction and a historical record; the production management database stores material characteristics, equipment history and regulation and control cases; and the rolling execution mechanism is adjusted to operate according to the parameter packet. All the modules cooperate to achieve real-time monitoring, evaluation, compensation and optimization of tension, the traditional control problem is solved, and the product quality and efficiency are improved.

The invention relates to the field of re-beaming machines, and discloses a re-beaming machine capable of preventing sudden stop yarn kink, which comprises a shell, a slurry shaft is rotatably connected to the inner wall of the shell, a feeding roll shaft is rotatably connected to the inner wall of the shell, a pressing shaft is arranged at the top of the feeding roll shaft, and pressing mechanisms are arranged on the front side and the rear side of the pressing shaft. A stepping motor is fixedly connected to the front face of the shell, a winding roller is fixedly connected to the rear side of an output shaft of the stepping motor, a tensioning mechanism is arranged in the shell, and the tensioning mechanism comprises a pressing rod. According to the yarn rebeaming device, through cooperation of the pressing rod, the moving block, the first spring, the first connecting rod, the second connecting rod and the tension roller, the tensioning force of yarn can be controlled, it is ensured that the yarn is kept in a stable tension state in the rebeaming process, loosening and twisting are avoided, and through arrangement of the control mechanism, the tensioning force of the yarn can be adjusted by moving the pressing rod up and down; and the accuracy of tension control is improved.

The invention relates to a scraper chain tension dynamic optimization method based on real-time load feedback, and belongs to the technical field of scraper chain control. The method comprises the following steps: acquiring load data of a scraper chain in various operation states; carrying out standardization processing on the load data of various operation states and then extracting features to obtain load time sequence features; carrying out time attention mechanism processing on the load time sequence characteristics and the load data of the multiple operation states to obtain importance weights; a tension value is calculated according to the load data of each operation state and the importance weight of the load data; calculating a real-time working condition coefficient of the current time node, and dynamically adjusting a preset safety tension range to obtain a real-time safety tension range of the current time node; comparing the tension value with a real-time safe tension range, and generating a control instruction according to a comparison result; and executing the control instruction. The tension control method of the scraper chain is optimized, and the control precision of the tension of the scraper chain is improved.

The invention discloses a let-off transmission mechanism of a flexible rapier loom, and relates to the field of spinning. According to the scheme, through lever linkage of a counterweight assembly and a state adjusting assembly, the length of a resisting arm is automatically adjusted when the tension of a warp opening is increased, constant tension control over bidirectional warps in high-frequency reciprocating motion is achieved, and it is ensured that weaving textures are uniform. One-side warp tension triggers the deflection frame to drive the gear frames to be meshed with the gears for fine adjustment, the gears are locked by the double gear frames when the two sides are overloaded, opposite acting force is converted into vertical pushing force, the sliding frame and the guide frame are pushed to move downwards, the warp is rapidly released through two-dimensional contraction of the inclined guide hole and the horizontal guide hole, and tension compensation is completed. And the sub-roller groups are linked with the buffer mechanism to prolong the warp, synchronously keep the tension of the opening stable, provide damage-free shutdown protection, and prevent the warp from being broken or the fabric from being damaged. The mechanism breaks through the limitation of traditional single-side adjustment, dynamic load self-adaption and fault transient response are achieved, and the weaving reliability and quality are remarkably improved.