An adaptive radian hydrological cableway hanging box and a water flow velocity accurate measurement method thereof

Abstract

The application discloses a self-adaptive radian hydrological cableway hanging box and a water flow velocity accurate measurement method thereof, relates to the technical field of hydrological measurement, and aims to solve the technical problem that the current cable is caused by the terrain and weight factors, and the depth deviation and angle deviation of the hanging sensor appear during operation, and then the accuracy of the measurement result is adversely affected, and comprises a data processing platform for hydrological data transmission and detection attitude fine adjustment, a data acquisition assembly installed on one side of the data processing platform for hydrological data acquisition, and a carrying basic platform hung on the cable main body, the relative position of the lead fish water depth and the data acquisition assembly and the data processing platform is adjusted, the adjustment of the gravity balance point of the cableway hanging box is realized, the influence of the data acquisition assembly on the radian of the cable caused by the water flow impact is balanced, the operation angle and depth of the hydrological sensor during operation are ensured, and the accuracy of measurement is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of hydrological measurement, and more particularly to a self-adaptive radian hydrological cableway hanging box and a water flow velocity accurate measurement method thereof. BACKGROUND

[0002] The hydrological cableway is one of the main river-crossing facilities for hydrological measurement of the station, and is the infrastructure for measuring depth, distance and flow of the hydrological station. In hydrological measurement, the cableway hanging box as an important measurement platform is widely used in the measurement of water flow velocity.

[0003] The hydrological cableway mainly consists of a cableway house, a cableway foundation, a tower, a stay wire, an anchor, a pulley, a carrying crane, a main cable, a working cable, a measurement platform, a winch, a running control device, a signal transmission system and a lightning protection system. It can be divided into suspension cableway, hanging box cableway, hanging ship cableway and multi-span cableway according to the different suspension components. Among them, the hanging box cableway becomes the preferred solution in hydrological measurement because of its firm structure, good all-around visibility, sufficient working space and storage space, etc.

[0004] At present, the cableway hanging box is widely used in hydrological measurement to measure water flow velocity. However, due to the existence of cableway arc in the actual environment, the traditional hanging box is prone to depth deviation during measurement, which affects the measurement accuracy.

[0005] At present, the cableway hanging box technology is widely adopted in the field of hydrological measurement to accurately capture water flow velocity, which greatly promotes the collection efficiency of hydrological data. However, in complex natural environment, the cable is often curved due to terrain and other factors. Due to the existence of the arc, the cable is loose and easily washed by the water flow, which can cause the sensor hanging on the hanging box to have depth deviation and angle deviation during operation, thereby adversely affecting the accuracy of the measurement results and becoming a major obstacle to improving the measurement accuracy. In view of this, we propose a self-adaptive radian hydrological cableway hanging box and a water flow velocity accurate measurement method thereof. SUMMARY

[0006] The present application aims to provide a self-adaptive radian hydrological cableway hanging box and a water flow velocity accurate measurement method thereof to solve the technical problem that the hanging sensor has depth deviation and angle deviation during operation due to the cable being curved due to terrain and weight factors, thereby adversely affecting the accuracy of the measurement results.

[0007] To solve the above technical problems, the present application provides the following technical solution: a self-adaptive radian hydrological cableway hanging box, comprising a data processing platform for hydrological data transmission and attitude fine adjustment, a data acquisition assembly installed on one side of the data processing platform for hydrological data acquisition, and a carrying base platform mounted on the main body of the cable.

[0008] The carrying base platform is installed on the other side of the data processing platform, and is used for collecting the curvature data of the cable body, so as to cooperate with the data processing platform to detect and adjust the posture of the data collection assembly;

[0009] The data processing platform comprises a hanging box body, a winding mechanism connected with the data collection assembly in the hanging box body, a communication device arranged on one side of the hanging box body for hydrological data transmission, and a collection terminal and a data processor installed in the hanging box body for hydrological data collection control and data processing.

[0010] The gravity balance point of the data processing platform provided with the data collection assembly is on the same vertical line as the carrying base platform, and the gravity balance point of the data processing platform provided with the data collection assembly is adjusted by adjusting the posture of the data collection assembly, so as to balance the influence of the water flow impact on the curvature of the cable body.

[0011] The data processing platform, the data collection assembly and the carrying base platform are provided, the curvature data of the cable body can be obtained through the carrying base platform, the posture of the data collection assembly is detected and adjusted through the data processing platform, the relative position of the water entry depth and the data collection assembly and the data processing platform is adjusted through the detection and adjustment of the posture, the gravity balance point of the cableway hanging box is adjusted, and the influence of the water flow impact on the curvature of the data collection assembly is balanced, so as to guarantee the operation angle and depth of the hydrological sensor during operation, and improve the measurement accuracy.

[0012] Preferably, the hanging box body comprises a box body and a box door hingedly connected to one side of the box body, a solar energy storage box is fixedly installed on one side in the box body, and an infrared camera is fixedly arranged on the bottom of the box body.

[0013] The winding mechanism comprises an automatic contraction reel, the automatic contraction reel is arranged at the center in the box body, a pull cable is installed on the automatic contraction reel, a through groove is formed at the top of the box body for the pull cable to pass out, and a roller A matched with the pull cable is arranged in the through groove.

[0014] Preferably, the communication device comprises a support frame and a network transmitter, the support frame is fixedly arranged on the top of one side of the box body, the network transmitter is installed on the support frame, and the network transmitter is electrically connected with the collection terminal.

[0015] Preferably, the data acquisition assembly comprises an arc-shaped supporting arm, one end of the arc-shaped supporting arm is hingedly connected with the box body, and a lead fish is hingedly connected to one end of the arc-shaped supporting arm, a plurality of rollers B are equidistantly arranged at the end of the arc-shaped supporting arm away from the lead fish, one of the plurality of rollers B is fixedly connected with one end of the cable, and the remaining rollers B are arranged in cooperation with the cable.

[0016] Preferably, the lead fish is provided with a streamlined front end, and a hydrological sensor is mounted on the front end of the lead fish and electrically connected to the acquisition terminal, front and rear balance fins are horizontally arranged on both sides of the front and rear ends of the lead fish for stabilizing the posture, and a stabilizing tail fin is arranged at the tail end of the lead fish for eliminating the vortex of the wake.

[0017] Preferably, the carrying base platform comprises a stable suspension mechanism mounted on one side of the top of the box body and an extension arm arranged on one side of the top of the stable suspension mechanism, a mounting rack is arranged at the top end of the extension arm, a solar panel is mounted on the mounting rack, and the solar panel is electrically connected with the solar power storage box.

[0018] Preferably, the stable suspension mechanism comprises a mounting assembly and extension seats symmetrically arranged on both sides of the mounting assembly, a steering engine electrically connected with the data processor is fixedly arranged at the top end of each of the two extension seats, a movable arm A is mounted on the driving end of the steering engine, a detection wheel abutting against the upper surface of the cable main body is rotatably mounted in the movable arm A, movable arms B are jointly hingedly mounted on both sides of the movable arm A, auxiliary wheels abutting against the lower surface of the cable main body are mounted in the movable arms B, and the movable arms B cooperated with the auxiliary wheels form a symmetrical wheel set for monitoring the deformation angle of the upper arc segment of the cable main body.

[0019] Preferably, the mounting assembly comprises a bottom plate fixedly arranged on the top of the box body, a hoisting arm and a damper are hingedly mounted on both sides of the top end of the bottom plate, and the damper is hingedly connected with one side of the hoisting arm.

[0020] A base is fixedly arranged at the top end of the hoisting arm, a cable clamp jaw A is arranged at the end of the base away from the damper, a cable clamp jaw B is hingedly mounted on the cable clamp jaw A, and the cable clamp jaw A cooperated with the cable clamp jaw B forms a clamping structure for the cable main body.

[0021] A shaft rod is rotatably mounted at the end of the cable clamp jaw B away from the cable clamp jaw A, support rods are hingedly mounted on both sides of the base and pass through the shaft rod, springs abutting against the base and the shaft rod are sleeved on the support rods, and the base provided with the cable clamp jaw A, the cable clamp jaw B provided with the shaft rod and the support rods form an adaptive triangular structure capable of maintaining the stability of the clamping structure with the help of the springs.

[0022] A water flow velocity accurate measurement method, comprising the following steps:

[0023] S1, device arrangement;

[0024] The cable body is passed through two symmetrical wheel sets and a clamp structure by the staff, the cableway hanging box is arranged, the infrared camera is used for visual assistance for driving the cable body, the cableway hanging box is moved to above the water surface, and the lead sinker is immersed in the water body;

[0025] S2, monitoring of the curvature of the cable body under high flow velocity water flow;

[0026] S201, deformation angle data collection of the cable body;

[0027] When the cable body appears bending curvature, the detection wheel provided with the movable arm B drives the driving end of the steering engine to rotate, so that the deformation angle data of the curvature section of the cable body is collected, and is transmitted to the data processor for data processing, so as to obtain the deformation angle data of the curvature section of the cable body which changes continuously away from the two banks driven by the winch, generate a curvature deformation curve model, and predict the future change of the deformation angle data:

[0028] ;

[0029] In the formula, , is a fitting coefficient, is the time corresponding to the collected data, is the number of data points collected, is the actual measured deformation angle;

[0030] S202, cable body offset data collection;

[0031] When the lead sinker is immersed in water, the impact of water on the lead sinker acts on the data processing platform, so that the data processing platform, together with the data collection assembly and the carrying base platform, is offset, and the cable body is offset, the water flow velocity data collected and the water surface area and volume of the lead sinker are combined, and the curvature deformation curve model is combined to obtain the offset data of the cable body affected by the water flow and generated to the water flow direction, generate a curvature offset curve model to predict the future change of the offset data;

[0032] S202a, the force of water flow on the lead sinker , in which, is a resistance coefficient, is the density of water, is the water flow velocity, is the volume of the lead sinker, The water-facing area of the lead fish;

[0033] S202b, the offset distance of the cable body generated by the water flow to the flow direction is , the elastic modulus of the cable body itself is , the cross-sectional area is , and the initial length is , then ;

[0034] S202c, the radian offset curve model is:

[0035] ;

[0036] In the formula, , is a fitting coefficient, is the time corresponding to the collected data, is the number of data points collected, is the actual measured deformation angle;

[0037] S3, fine-tuning the posture of the lead fish;

[0038] S301, real-time fine-tuning distance of the lead fish;

[0039] According to the radian deformation curve model of the cable body, the deformation angle data of the cable body is obtained, and according to the radian offset curve model of the cable body, the real-time offset data of the cable body is obtained, and the real-time fine-tuning distance of the automatic contraction wire reel pulling the cable is calculated through the real-time deformation angle data and the real-time offset data :

[0040] ;

[0041] In the formula, is the real-time deformation angle data obtained according to the radian deformation curve model, is the real-time offset data obtained according to the radian offset curve model, and are conversion coefficients, respectively;

[0042] S302, predicted fine-tuning distance of the lead fish;

[0043] According to the radian deformation curve model of the cable body, the predicted deformation angle data of the cable body is obtained, and according to the radian offset curve model of the cable body, the predicted offset data of the cable body is obtained, and the predicted fine-tuning distance of the automatic contraction wire reel pulling the cable is calculated through the predicted deformation angle data and the predicted offset data :

[0044] ;

[0045] In the formula, is the real-time deformation angle data obtained according to the radian deformation curve model, is the real-time offset data obtained according to the radian offset curve model;

[0046] S303, model optimization;

[0047] Compare the deviation of the real-time fine-tuning distance and the adjusted hydrological data collection value of the past predicted fine-tuning distance, verify the data prediction ability of the radian deformation curve model and the radian offset curve model, and optimize the model through a deep learning algorithm to obtain the attitude fine-tuning distance;

[0048] S304, specific fine-tuning;

[0049] Pull or release the roller A according to the attitude fine-tuning distance through the automatic contraction of the wire reel, thereby pulling or releasing the arc-shaped support arm through the roller A to move the lead fish, and adjusting the water entry depth of the lead fish and the relative position between the lead fish and the data processing platform, so as to adjust the detection depth of the lead fish under the radian change and the adjustment of the gravity balance point of the cableway hanging box, thereby balancing the influence of the water flow impact on the radian of the cable main body by the data collection assembly;

[0050] S4, hydrological data collection;

[0051] The water flow velocity and temperature of the water body are detected through the hydrological sensor, the hydrological data is transmitted to the collection terminal, and after data processing by the data processor, it is transmitted to the data center through the network transmitter. The collection frequency and collection time of the hydrological data are adjusted by the data center through the collection terminal.

[0052] Preferably, the processing mode of model optimization is that the real-time fine-tuning distance is , the past predicted fine-tuning distance is , and the deviation of the adjusted hydrological data collection is , and the loss function is obtained to verify the data prediction ability of the radian deformation curve model and the radian offset curve model, wherein is the number of data samples;

[0053] The deep learning algorithm is used to minimize the loss function as the target, and the weight parameters of the neural network are constantly adjusted, so as to optimize the model. The predicted output fine-tuning distance of the neural network is , then , wherein represents the set of weight parameters of the neural network, represents the real fine-tuning distance data, and a more accurate attitude fine-tuning distance is obtained.

[0054] Compared with the prior art, the present application has the beneficial effects that:

[0055] 1、The present application can obtain the camber data of the cable main body through the carrying basic platform, and then detect the posture of the data acquisition assembly through the data processing platform for fine adjustment, so as to realize the adjustment of the water entry depth and the relative position of the data acquisition assembly and the data processing platform, and realize the adjustment of the gravity balance point of the cableway hanging box, thereby balancing the influence of the water flow impact on the camber of the data acquisition assembly, and ensuring the running angle and depth of the hydrological sensor during operation, and improving the measurement accuracy.

[0056] 2、The present application can accurately monitor the deformation angle of the camber section of the cable main body in real time through the setting of the stable suspension mechanism, and when the cable main body appears bending camber due to various external factors, the detection wheel and the auxiliary wheel can sensitively perceive the change, drive the driving end of the rudder to rotate, and then accurately collect the deformation angle data of the camber section of the cable main body, and generate a camber deformation curve model, by means of which, not only the current change of the camber of the cable main body can be clearly mastered, but also the future change trend of the deformation angle data in the subsequent time can be predicted, providing a solid and accurate data basis for the subsequent fine adjustment of the lead fish posture, so that the whole measurement process can be adaptively adjusted according to the change of the cable camber, further ensuring the accuracy of the water flow velocity measurement from the root, and reducing the measurement error caused by the cable camber.

[0057] 3、The present application can obtain the deformation angle data of the cable main body through the camber deformation curve model, and then obtain the corresponding real-time offset data and predicted offset data in combination with the camber offset curve model, and then calculate the real-time fine adjustment distance and predicted fine adjustment distance of the automatic contraction wire reel pulling the cable, and then compare the real-time fine adjustment distance, the past predicted fine adjustment distance and the deviation of the adjusted hydrological data acquisition, verify the data prediction ability of the camber deformation curve model and the camber offset curve model by using the loss function, and constantly optimize the model parameters by taking the minimization of the loss function as the target by means of the deep learning algorithm, so as to obtain more accurate and reliable posture fine adjustment distance, which can flexibly adjust the water entry depth of the lead fish and its relative position with the data processing platform, and well balance the influence of the water flow impact on the camber of the cable main body, and ensure that the lead fish is always in the best detection posture according to the change of the water flow velocity and the cable camber during the whole measurement process, and maximize the accuracy of the measurement result. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 It is the overall structure schematic diagram of the present application in the right view state;

[0059] Figure 2 It is the overall structure schematic diagram of the present application in the left view state;

[0060] Figure 3 Figure 1 is a schematic diagram of the internal structure of the data processing platform and the data acquisition assembly in a cooperating state in the present application;

[0061] Figure 4 Figure 2 is a schematic diagram of the structure of the data acquisition assembly in the present application;

[0062] Figure 5 Figure 3 is a schematic diagram of the structure for displaying the state of the gravity balance point in the present application;

[0063] Figure 6 Figure 4 is a schematic diagram of the structure of the carrying base platform in the present application;

[0064] Figure 7 Figure 5 is a schematic diagram of the structure of the stable suspension mechanism in the present application;

[0065] Figure 8 Figure 6 is a schematic diagram of the structure of the mounting assembly in the present application.

[0066] Figure legend:

[0067] 1, data processing platform; 101, box body; 102, acquisition terminal; 103, data processor; 104, support frame; 105, network transmitter; 106, automatic retracting wire reel; 107, roller A; 108, inhaul cable; 109, solar power storage box; 110, box door;

[0068] 2, data acquisition assembly; 201, arc-shaped support arm; 202, lead fish; 203, hydrological inductor; 204, roller B; 205, front balance fin; 206, rear stabilizing fin; 207, stabilizing tail fin;

[0069] 3, cable main body;

[0070] 4, carrying base platform; 401, extension arm; 402, mounting frame; 403, solar cell panel;

[0071] 5, stable suspension mechanism; 501, extension seat; 502, steering engine; 503, movable arm A; 504, detection wheel; 505, movable arm B; 506, auxiliary wheel;

[0072] 6, mounting assembly; 601, bottom plate; 602, hoisting arm; 603, damper; 604, base; 605, cable gripper A; 606, cable gripper B; 607, shaft rod; 608, support rod; 609, spring. DETAILED DESCRIPTION

[0073] Example 1: as Figures 1 to 8As shown, the adaptive radian hydrological cableway hanging box of the present application comprises a data processing platform 1 for hydrological data transmission and detection posture fine adjustment, a data acquisition assembly 2 installed on one side of the data processing platform 1 for hydrological data acquisition, and a carrying basic platform 4 hung on a cable main body 3;

[0074] The carrying basic platform 4 is installed on the other side of the data processing platform 1 and is used for acquiring radian data of the cable main body 3 to cooperate with the data processing platform 1 to detect and fine adjust the posture of the data acquisition assembly 2;

[0075] The data processing platform 1 comprises a hanging box main body, a winding mechanism arranged in the hanging box main body and connected with the data acquisition assembly 2, a communication device arranged on one side of the hanging box main body for hydrological data transmission, and an acquisition terminal 102 and a data processor 103 installed in the hanging box main body for hydrological data acquisition control and data processing, the communication device comprises a support frame 104 and a network transmitter 105, the support frame 104 is fixedly arranged on the top of one side of the box body 101, the network transmitter 105 is installed on the support frame 104, and the network transmitter 105 is electrically connected with the acquisition terminal 102, the hydrological data acquired by the data acquisition assembly 2 is transmitted to the data processor 103 through the acquisition terminal 102 for processing, and then is sent to a data center through the network transmitter 105;

[0076] The gravity balance point of the data processing platform 1 provided with the data acquisition assembly 2 and the carrying basic platform 4 is on the same vertical line, the gravity balance point of the data processing platform 1 provided with the data acquisition assembly 2 is adjusted by fine adjustment of the posture of the data acquisition assembly 2 to balance the influence of the water flow impact on the radian of the cable main body 3, the radian data of the cable main body 3 is acquired through the carrying basic platform 4, the posture of the data acquisition assembly 2 is fine adjusted through the data processing platform 1, the relative position of the data acquisition assembly 2 and the data processing platform 1 is adjusted through the fine adjustment of the posture, the gravity balance point of the cableway hanging box is adjusted, the influence of the water flow impact on the radian of the cable main body 3 is balanced, the running angle and depth of the hydrological sensor 203 during operation are ensured, and the measurement accuracy is improved.

[0077] In the embodiment of the present application, the box body comprises a box body 101 and a box door 110 hingedly connected to one side of the box body 101, a solar power storage box 109 is fixedly installed on one side in the box body 101, and an infrared camera is fixedly arranged on the bottom in the box body 101. The electrical energy generated by the solar cell panel 403 is stored in the solar power storage box 109, and the electrical energy is transmitted to the solar power storage box 109 after being processed by an inverter, so as to supply power to the whole cableway box through the solar power storage box 109. The state of the water surface floating object is detected through the infrared camera to avoid winding on the data acquisition assembly 2.

[0078] In the embodiment of the present application, the winding mechanism comprises an automatic winding reel 106 arranged at the center in the box body 101, and a pull cable 108 is installed on the automatic winding reel 106. A through slot is formed in the top end of the box body 101 for the pull cable 108 to pass out, and a roller A 107 matched with the pull cable 108 is arranged in the through slot. The data acquisition assembly 2 comprises an arc-shaped supporting arm 201 hingedly connected to the box body 101 at one end, and a lead fish 202 is hingedly connected to one end of the arc-shaped supporting arm 201. A plurality of roller B 204 are equidistantly arranged at the end of the arc-shaped supporting arm 201 away from the lead fish 202, and one roller B 204 of the plurality of roller B 204 is fixedly connected to one end of the pull cable 108. When it is necessary to make a slight adjustment to the posture of the lead fish 202, the pull cable 108 can be pulled or released through the automatic winding reel 106, so as to pull or release the arc-shaped supporting arm 201 provided with the lead fish 202 through the pull cable 108 to lift or drop, thereby achieving the slight adjustment to the posture of the lead fish 202. In order to avoid the damage of the high water flow rate to the cableway box, the arc-shaped supporting arm 201 is hingedly connected to the box body 101 and the lead fish 202 respectively. The water flow rate in a certain range cannot drive the lead fish 202 to drive the arc-shaped supporting arm 201 to rotate, but can drive the box body 101 to drive the cable main body 3 to deviate. When the water flow rate is too high, the water flow will drive the lead fish 202 to drive the arc-shaped supporting arm 201 to rotate, thereby achieving the unloading force for the impact under the high water flow rate.

[0079] In the embodiment of the present application, the first end of the lead fish 202 is streamlined, and a hydrological sensor 203 electrically connected to the acquisition terminal 102 is installed on the first end of the lead fish 202. The front balance fin 205 and the rear stabilizing fin 206 for stabilizing the posture are horizontally arranged on both sides of the first end and the tail end of the lead fish 202. The stable tail fin 207 for eliminating the vortex of the wake is arranged at the tail end of the lead fish 202. The stability of the lead fish 202 is improved through the pair of front balance fins 205 and the pair of rear stabilizing fins 206 arranged on the lead fish 202. The vortex of the wake is eliminated through the stable tail fin 207 of the lead fish 202, thereby greatly improving the running stability of the lead fish 202 with streamlined shape in the water flow and improving the measurement accuracy.

[0080] In the embodiment of the present application, the carrying base platform 4 comprises a stable suspension mechanism 5 mounted on one side of the top of the box body 101 and an extension arm 401 constructed on one side of the top of the stable suspension mechanism 5, the top end of the extension arm 401 is constructed with a mounting rack 402, and the solar cell panel 403 is mounted on the mounting rack 402 and electrically connected with the solar power storage box 109, the stable suspension mechanism 5 comprises a hanging assembly 6 and two extension seats 501 symmetrically arranged on both sides of the hanging assembly 6, the top end of each of the two extension seats 501 is fixedly provided with a servo 502 electrically connected with the data processor 103, and the driving end of the servo 502 is mounted with a movable arm A 503, the movable arm A 503 is rotatably mounted with a detection wheel 504 abutting against the upper surface of the cable main body 3, and the two sides of the movable arm A 503 are jointly hingedly mounted with a movable arm B 505, the movable arm B 505 is internally mounted with an auxiliary wheel 506 abutting against the lower surface of the cable main body 3, and the movable arm B 505 cooperates with the auxiliary wheel 506 to form a symmetrical wheel set for monitoring the deformation angle of the upper arc segment of the cable main body 3, through the arrangement of the stable suspension mechanism 5, the deformation angle of the upper arc segment of the cable main body 3 can be accurately and real-timely monitored, when the cable main body 3 is bent due to various external factors, the detection wheel 504 and the auxiliary wheel 506 can sensitively perceive the change, drive the driving end of the servo 502 to rotate, and then accurately collect the deformation angle data of the arc segment of the cable main body 3, generate an arc deformation curve model, by means of the model, not only the current change of the arc of the cable main body 3 can be clearly mastered, but also the future change trend of the deformation angle data in the subsequent time can be predicted, which provides a solid and accurate data basis for the subsequent adjustment of the attitude of the lead fish 202, so that the whole measurement process can be adaptively adjusted according to the change of the cable arc, further guaranteeing the accuracy of the water flow velocity measurement from the root, and reducing the measurement error caused by the cable arc.

[0081] In the embodiment of the present application, the mounting assembly 6 comprises a bottom plate 601 fixedly arranged at the top of the box body 101, a lifting arm 602 and a damper 603 hingedly arranged at the two sides of the top end of the bottom plate 601, and the damper 603 is hingedly connected to one side of the lifting arm 602, a base 604 is fixedly arranged at the top end of the lifting arm 602, and a cable clamp jaw A 605 is arranged at the end of the base 604 away from the damper 603, a cable clamp jaw B 606 is hingedly arranged on the cable clamp jaw A 605, the cable clamp jaw A 605 cooperates with the cable clamp jaw B 606 to form a clamping structure for the cable main body 3, a shaft rod 607 is rotatably arranged at the end of the cable clamp jaw B 606 away from the cable clamp jaw A 605, and support rods 608 are hingedly arranged at the two sides of the base 604 and pass through the shaft rod 607, springs 609 are arranged on the support rods 608 and abut against the base 604 and the shaft rod 607, and the base 604 provided with the cable clamp jaw A 605, the cable clamp jaw B 606 provided with the shaft rod 607 and the support rods 608 form an adaptive triangular structure capable of maintaining the stability of the clamping structure with the help of the springs 609, the cable clamp jaw A 605 and the cable clamp jaw B 606 are arranged at the two sides of the cable main body 3 respectively, and the adaptive triangular structure is reset by releasing the springs 609 to push, so that the stability of the clamping structure formed by the cable clamp jaw A 605 and the cable clamp jaw B 606 is ensured, and the connection with the cable main body 3 is completed.

[0082] Embodiment two: as shown in the figure, as another embodiment of the present application, a water flow velocity precise measurement method comprises the following steps: Figures 1 to 8

[0083] S1, device arrangement;

[0084] The staff makes the cable main body 3 pass through the two symmetrical wheel groups and the clamping structure, realizes the arrangement of the cableway hanging box, and then moves the cableway hanging box to above the water surface through the winch for driving the cable main body 3 and the visual assistance of the infrared camera, and makes the lead fish 202 immerse in the water body;

[0085] S2, monitoring of the curvature of the cable main body 3 under high flow velocity water flow;

[0086] S201, deformation angle data acquisition of the cable main body 3;

[0087] When the cable main body 3 appears bending curvature, the detection wheel 504 provided with the movable arm B 505 drives the driving end of the steering engine 502 to rotate, so that the deformation angle data of the curvature section of the cable main body 3 is collected and transmitted to the data processor 103 for data processing, so as to obtain the deformation angle data of the curvature section of the cable main body 3 which changes constantly with the driving of the winch away from the two banks, generate a curvature deformation curve model, and predict the future change of the deformation angle data: ​

[0088] ;

[0089] In the formula, , is a fitting coefficient, is the time corresponding to the collected data, is the number of data points collected, is the actual measured deformation angle;

[0090] S202, cable body 3 offset data collection;

[0091] When the lead fish 202 enters the water, the impact of the water on the lead fish 202 acts on the data processing platform 1, so that the data processing platform 1 together with the data collection assembly 2 and the carrier base platform 4 is offset, and the cable body 3 is offset, and the water flow velocity data collected and the water area and volume of the lead fish 202 are combined with the radian deformation curve model, the offset data of the cable body 3 affected by the water flow to the water flow direction is obtained, and a radian offset curve model is generated to predict the future change of the offset data;

[0092] S202a, the force of the water flow on the lead fish 202 , in the formula, is the drag coefficient, is the density of water, is the water flow velocity, is the volume of the lead fish 202, is the water area of the lead fish 202;

[0093] S202b, the offset distance of the cable body 3 affected by the water flow to the water flow direction is , the elastic modulus of the cable body 3 itself is , the cross-sectional area is , and the initial length is , then ;

[0094] S202c, the radian offset curve model is:

[0095] ;

[0096] In the formula, , is a fitting coefficient, is the time corresponding to the collected data, is the number of data points collected, is the actual measured deformation angle;

[0097] S3, the lead fish 202 posture fine adjustment;

[0098] S301, the lead fish 202 real-time fine-tuning distance;

[0099] According to the curvature deformation curve model of the cable body 3, the deformation angle data of the cable body 3 is obtained, and then according to the curvature offset curve model of the cable body 3, the real-time offset data of the cable body 3 is obtained, and the real-time fine-tuning distance of the automatic shrinkage wire disc 106 pulling the cable 108 is calculated through the real-time deformation angle data and the real-time offset data :

[0100] ;

[0101] In the formula, is the real-time deformation angle data obtained according to the curvature deformation curve model, is the real-time offset data obtained according to the curvature offset curve model, and are conversion coefficients, respectively;

[0102] S302, the lead fish 202 predicts the fine-tuning distance;

[0103] According to the curvature deformation curve model of the cable body 3, the predicted deformation angle data of the cable body 3 is obtained, and then according to the curvature offset curve model of the cable body 3, the predicted offset data of the cable body 3 is obtained, and the predicted fine-tuning distance of the automatic shrinkage wire disc 106 pulling the cable 108 is calculated through the predicted deformation angle data and the predicted offset data :

[0104] ;

[0105] In the formula, is the real-time deformation angle data obtained according to the curvature deformation curve model, is the real-time offset data obtained according to the curvature offset curve model;

[0106] S303, model optimization;

[0107] Compare the deviation of the real-time fine-tuning distance and the adjusted hydrological data collection value of the past predicted fine-tuning distance, check the data prediction ability of the curvature deformation curve model and the curvature offset curve model, and optimize the model through deep learning algorithm to obtain the posture fine-tuning distance;

[0108] S304, specific fine-tuning;

[0109] The roll wheel A 107 is pulled or released by the automatic shrink reel 106 according to the pose fine adjustment distance, so as to pull or release the arc-shaped support arm 201 through the roll wheel A 107, drive the lead fish 202 to move, adjust the water entry depth of the lead fish 202 and the relative position of the lead fish 202 and the data processing platform 1, realize the adjustment of the detection depth of the lead fish 202 under the arc change and the adjustment of the gravity balance point of the cableway hanging box, and balance the influence of the water flow impact on the cable main body 3 of the data acquisition assembly 2.

[0110] S4, hydrological data acquisition;

[0111] The water flow flow rate and temperature of the water body are detected through the hydrological sensor 203, the hydrological data are transmitted to the acquisition terminal 102, the data are processed by the data processor 103, and then transmitted to the data center through the network transmitter 105; and the acquisition frequency and acquisition time of the hydrological data are adjusted by the data center through the acquisition terminal 102.

[0112] As another embodiment of the application, the processing mode of model optimization is that the real-time fine adjustment distance is , the past prediction fine adjustment distance is , the deviation of the adjusted hydrological data acquisition is , the loss function is obtained to verify the data prediction ability of the arc deformation curve model and the arc offset curve model, wherein, is the number of data samples;

[0113] The deep learning algorithm is used to minimize the loss function as the target, the weight parameters of the neural network are continuously adjusted, so as to optimize the model, the predicted output fine adjustment distance of the neural network is , and , wherein, represents the weight parameter set of the neural network, represents the real fine adjustment distance data, and a more accurate pose fine adjustment distance is obtained.

[0114] The embodiments of the application disclose the preferred embodiments, but are not limited thereto, and the ordinary skilled in the art can easily understand the spirit of the application according to the above-mentioned embodiments, and make different inferences and changes, as long as they do not deviate from the spirit of the application, which are within the protection scope of the application.

Claims

1. An adaptive-radius hydrological cableway gondola, characterized by, The utility model relates to a kind of hydrological data transmission and detection attitude fine-tuning platform (1), data acquisition component (2) is installed on the one side of the data processing platform (1), for hydrological data acquisition;Carrying basic platform (4) is hung on cable main body (3), the other side of the data processing platform (1) is installed on the carrying basic platform (4), for the arc data of cable main body (3) is collected, to cooperate data processing platform (1) to detect attitude fine-tuning of data acquisition component (2);Wherein, the data processing platform (1) includes hanging box main body, winding mechanism being connected with the data acquisition component (2) in hanging box main body, communication equipment for hydrological data transmission being arranged in the one side of hanging box main body and acquisition terminal (102) and data processor (103) being installed in hanging box main body for carrying out hydrological data acquisition control and data processing;The hanging box main body includes box (101) and box door (110) being hingedly connected on the one side of box (101), solar energy storage box (109) is fixedly installed in the one side of box (101), and infrared camera is fixedly arranged on the bottom of box (101);The winding mechanism includes automatic contraction reel (106), the automatic contraction reel (106) is arranged at the center in box (101), and pull cable (108) is installed on the automatic contraction reel (106), and the top of box (101) is provided with the through slot for pull cable (108) to pass out, and roller A (107) is arranged in the through slot and matched with pull cable (108);Wherein, the gravity balance point of the data processing platform (1) with data acquisition component (2) and carrying basic platform (4) is in the same vertical line, and the gravity balance point of the data processing platform (1) with data acquisition component (2) is adjusted by fine-tuning the attitude of data acquisition component (2) to balance the influence of the arc of cable main body (3) by water flow impact on data acquisition component (2); The data acquisition component (2) includes arc-shaped support arm (201), one end of the arc-shaped support arm (201) is hingedly connected with the box (101), and one end of the arc-shaped support arm (201) is hingedly connected with lead fish (202), a plurality of roller B (204) is equidistantly arranged at the end of the arc-shaped support arm (201) away from the lead fish (202), and one of the plurality of roller B (204) is fixedly connected with one end of the pull cable (108), and the rest of the roller B (204) is arranged in cooperation with the pull cable (108). The communication equipment includes support frame (104) and network transmitter (105), the support frame (104) is fixedly arranged on the top of the one side of the box (101), the network transmitter (105) is installed on the support frame (104), and the network transmitter (105) is electrically connected with the acquisition terminal (102). ​ ​ ​ ​ ​ ​ 2. An adaptive-radius hydrological cableway tower according to claim 1, characterized in that, ​ 3. An adaptive-radius hydrological cableway tower according to claim 1, characterized in that, The lead fish (202) is streamlined at the head end, and a hydrological sensor (203) is mounted at the head end of the lead fish (202) and electrically connected to the collection terminal (102), front balance fins (205) and rear balance fins (206) are horizontally arranged on both sides of the head end and the tail end of the lead fish (202) for stabilizing the posture, and a stable tail fin (207) is arranged at the tail end of the lead fish (202) for eliminating the vortex of the wake.

4. An adaptive-radius hydrological cableway tower according to claim 1, characterized in that, The carrying base platform (4) comprises a stable suspension mechanism (5) mounted on one side of the top of the box (101) and an extension arm (401) arranged on one side of the top of the stable suspension mechanism (5), the top end of the extension arm (401) is arranged with a mounting bracket (402), and the mounting bracket (402) is mounted with a solar cell panel (403), and the solar cell panel (403) is electrically connected with the solar power storage box (109).

5. An adaptive-radius hydrological cableway tower according to claim 4, characterized in that, The stable suspension mechanism (5) comprises a hanging assembly (6) and two extension seats (501) symmetrically arranged on both sides of the hanging assembly (6), the top end of each of the two extension seats (501) is fixedly provided with a steering wheel (502) electrically connected with the data processor (103), and the driving end of the steering wheel (502) is mounted with a movable arm A (503), the movable arm A (503) is rotatably mounted with a detection wheel (504) abutting against the upper surface of the cable main body (3), and the two sides of the movable arm A (503) are jointly hingedly mounted with a movable arm B (505), the movable arm B (505) is internally mounted with an auxiliary wheel (506) abutting against the lower surface of the cable main body (3), and the movable arm B (505) cooperates with the auxiliary wheel (506) to form a symmetrical wheel set for monitoring the deformation angle of the upper arc segment of the cable main body (3).

6. An adaptive-radius hydrological cableway tower according to claim 5, characterized in that, The hanging assembly (6) comprises a bottom plate (601) fixedly arranged on the top of the box (101), the top end of the bottom plate (601) is hingedly mounted with a hoisting arm (602) and a damper (603) on both sides respectively, and the damper (603) is hingedly connected with one side of the hoisting arm (602); The top end of the hoisting arm (602) is fixedly provided with a base (604), and the base (604) is arranged with a cable clamp jaw A (605) away from the damper (603), and the cable clamp jaw A (605) is hingedly mounted with a cable clamp jaw B (606), and the cable clamp jaw A (605) cooperates with the cable clamp jaw B (606) to form a clamping structure for the cable main body (3); The cable clamp jaw B (606) is rotatably installed with a shaft rod (607) at one end away from the cable clamp jaw A (605), and the base (604) is hingedly installed with a support rod (608) penetrating through the shaft rod (607) on both sides, the support rod (608) is sleeved with a spring (609) abutting against the base (604) and the shaft rod (607), and the base (604) provided with the cable clamp jaw A (605), the cable clamp jaw B (606) provided with the shaft rod (607) and the support rod (608) form an adaptive triangular structure capable of keeping the stability of the pincer structure with the help of the spring (609).

7. A method for accurately measuring the flow velocity of water flow, applied to the self-adaptive arc hydrological cableway hanging box according to any one of claims 1-6, characterized in that, The method comprises the following steps: S1, device arrangement; The arrangement of the cableway hanging box is completed by the staff, and the cableway hanging box is moved to above the water surface by a winch; S2, arc monitoring under high flow rate water flow; S201, deformation angle data acquisition; The deformation angle data of the continuously changing arc segment on the cable main body (3) is acquired to generate an arc deformation curve model: ； In the formula, , is a fitting coefficient, is the time corresponding to the data collected, is the number of data points collected, is the actual measured deformation angle; S202, offset data acquisition; The offset data of the cable main body (3) to the water flow direction is obtained by combining the water flow velocity data, the water-facing area and the volume of the lead fish (202) and the arc deformation curve model, and an arc offset curve model is generated; S202a, the force of the water flow on the lead fish (202) wherein, is the drag coefficient, is the density of water, is the flow rate of the water flow, is the volume of the lead fish (202), is the wetted surface area of the lead fish (202); S202b, the offset distance generated by the cable main body (3) to the water flow direction is , the elastic modulus of the cable main body (3) itself is , the cross-sectional area is , and the initial length is , then ; S202c, the arc offset curve model is: ； In the formula, , is a fitting coefficient, is the time corresponding to the data collected, is the number of data points collected, is the actual measured deformation angle; S3, attitude fine adjustment; According to the radian deformation curve model and the radian offset curve model, deformation angle data and real-time offset data are obtained, and a real-time fine adjustment distance is calculated , wherein, is real-time deformation angle data, is real-time offset data, and is a conversion coefficient. According to the radian deformation curve model and the radian offset curve model, predicted deformation angle data and predicted offset data are obtained, and a predicted fine adjustment distance is calculated , wherein, is real-time deformation angle data, is real-time offset data; Then, the model is optimized according to the real-time fine adjustment distance and the past predicted fine adjustment distance adjusted water data collection value, the attitude fine adjustment distance is obtained, the water inlet depth of the lead fish (202) and the relative position of the lead fish (202) and the data processing platform (1) are adjusted according to the attitude fine adjustment distance; S4, hydrological data collection; The water flow velocity and temperature of the water body are detected by the hydrological sensor (203), the hydrological data is transmitted to the collection terminal (102), the data is processed by the data processor (103), and then transmitted to the data center by the network transmitter (105).

8. The method of claim 7, wherein, The processing mode of model optimization is: setting the real-time fine-tuning distance as , the past prediction fine-tuning distance as , the deviation of the adjusted hydrological data collection as , and obtaining a loss function to verify the data prediction ability of the radian deformation curve model and the radian offset curve model, wherein is the number of data samples. Using deep learning algorithms to minimize a loss function The weight parameters of the neural network are continuously adjusted for the target Thus, the model is optimized, and the predicted output of the neural network is fine-tuned to the distance Then , where represents the set of weight parameters of the neural network, represents the real fine-tuned distance data, and a more accurate pose fine-tuned distance is obtained .

Images