CN118615646B - Automatic intelligent spinning and operation safety protection system thereof - Google Patents
Automatic intelligent spinning and operation safety protection system thereof Download PDFInfo
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B22/00—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
- A63B22/06—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement
- A63B22/0605—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement performing a circular movement, e.g. ergometers
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- A—HUMAN NECESSITIES
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- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
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- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B22/00—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
- A63B22/06—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement
- A63B22/0605—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement performing a circular movement, e.g. ergometers
- A63B2022/0635—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement performing a circular movement, e.g. ergometers specially adapted for a particular use
- A63B2022/0658—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement performing a circular movement, e.g. ergometers specially adapted for a particular use for cycling with a group of people, e.g. spinning classes
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Abstract
本发明涉及动感单车技术运行监管领域，尤其涉及一种自动化智能动感单车及其运行安全保护系统，包括支撑底板，支撑底板的前后两表面均固定连接有定位板，支撑底板的上表面固定连接有主体外壳，主体外壳的内部转动连接有转盘，转盘的前表面固定连接有脚踏板；本发明通过从骑行前和骑行时两个角度进行分析，一方面有助于对智能动感单车的骑行潜在风险分析精度，另一方面有助于保证智能动感单车的骑行安全性和稳定性，同时有助于提高设备的预警效果和预警灵敏度，且在智能动感单车骑行正常前提下，对调控数据进行调控监管反馈操作，进而根据信息反馈情况对智能动感单车进行合理、有针对性的管理，以保证智能动感单车的调控精度。
The present invention relates to the field of technical operation supervision of a spinning bike, and in particular to an automated intelligent spinning bike and an operation safety protection system thereof, comprising a supporting base plate, both front and rear surfaces of the supporting base plate are fixedly connected to positioning plates, the upper surface of the supporting base plate is fixedly connected to a main body shell, the interior of the main body shell is rotatably connected to a turntable, and the front surface of the turntable is fixedly connected to a pedal; the present invention analyzes from two perspectives before riding and during riding, which, on the one hand, helps to analyze the accuracy of potential risks of riding an intelligent spinning bike, and on the other hand, helps to ensure the riding safety and stability of the intelligent spinning bike, and at the same time helps to improve the early warning effect and early warning sensitivity of the equipment, and under the premise that the intelligent spinning bike is riding normally, performs control supervision feedback operation on the control data, and then performs reasonable and targeted management of the intelligent spinning bike according to the information feedback situation, so as to ensure the control accuracy of the intelligent spinning bike.
Description
Technical Field
The invention relates to the technical operation supervision field of spinning, in particular to an automatic intelligent spinning and an operation safety protection system thereof.
Background
Riding is a global exercise and is deeply favored by people. The pedal riding has the characteristic of coordinating whole body activities, modern medicine and kinematics have proved that the riding movement is a heterolateral dominant movement, and the alternating pedal of the two legs can enable the left brain function and the right brain function to be developed at the same time, prevent premature senility and waste, prevent brain aging and improve the agility of a nervous system;
the outdoor riding exercise is limited by climate conditions, traffic conditions and the like, so that people develop the exercise equipment such as the spinning, and people can enjoy riding exercise anytime and anywhere without going out; the dynamic bicycle has undergone many technical improvements and technical changes since the advent of the prior art, but the existing dynamic bicycle cannot perform safety supervision and early warning on the dynamic bicycle during operation, so that the riding risk of a rider is increased, and the potential risk of the dynamic bicycle cannot be analyzed in combination, so that the analysis result deviation is large, the early warning precision of the dynamic bicycle is improved, the riding safety of the rider is reduced, and the riding regulation and control of the dynamic bicycle cannot be supervised, so that abnormal regulation and control of the dynamic bicycle cannot be managed in time, and the riding experience of the rider is reduced;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide an automatic intelligent spinning and an operation safety protection system thereof, which solve the technical defects, and the invention is beneficial to the analysis precision of the potential risk of riding the intelligent spinning by analyzing from two angles before riding and during riding, is beneficial to providing data support for the analysis of the subsequent riding process, is beneficial to ensuring the riding safety and stability of the intelligent spinning, is beneficial to improving the early warning effect and early warning sensitivity of equipment, and is beneficial to regulating, controlling and monitoring and feedback operation of regulating and controlling data under the condition that the intelligent spinning is normal in riding, so as to judge whether the abnormal risk of regulation and control is too high in the safe riding process of the intelligent spinning, and further reasonably and pointedly manage the intelligent spinning according to the information feedback condition, thereby ensuring the regulation and control precision and the operation stability of the intelligent spinning.
The aim of the invention can be achieved by the following technical scheme: the utility model provides an automatic change intelligent spinning, includes supporting baseplate, two equal fixedly connected with locating plates in front and back surfaces of supporting baseplate, supporting baseplate's upper surface fixedly connected with main body shell, main body shell's inside rotates and is connected with the carousel, the preceding fixedly connected with running-board of carousel, main body shell's upper surface one side fixedly connected with seat, the one end fixedly connected with alignment jig of seat is kept away from to main body shell's upper surface, the upper surface fixedly connected with operation frame of alignment jig, the inside of operation frame is provided with safety supervision platform.
An operation safety protection system of an automatic intelligent spinning comprises a supervision server, a data acquisition unit, a riding supervision unit, a safety feedback unit, a regulation self-checking unit, a feedback evaluation unit and a riding management unit;
When the supervision server generates a management command, the management command is sent to a data acquisition unit, the data acquisition unit immediately acquires operation data and performance data of the intelligent spinning after receiving the management command, the operation data comprise an operation performance value and a support risk value, the performance data comprise a rotation characteristic value and a brake risk value, the operation data and the performance data are respectively sent to a riding supervision unit and a safety feedback unit, the safety feedback unit immediately carries out riding performance supervision analysis on the performance data after receiving the performance data, the obtained riding potential risk coefficient Q is sent to the riding supervision unit, and the obtained management signal is sent to the riding management unit;
The riding monitoring unit immediately carries out operation safety monitoring evaluation analysis on the operation data after receiving the operation data, sends the obtained normal signal to the regulation self-checking unit, and sends the obtained early warning signal to the riding management unit through the safety feedback unit;
The control self-checking unit immediately acquires control data of the intelligent spinning after receiving the normal signal, wherein the control data comprises an error risk value and a control influence value, performs control supervision feedback operation on the control data, sends an obtained running signal to the feedback evaluation unit, and sends an obtained optimized signal to the riding management unit;
And after receiving the operation signal, the feedback evaluation unit immediately carries out riding safety evaluation analysis, and sends the obtained display signal and the obtained early warning pipe adjustment signal to the riding management unit through the regulation and control self-checking unit.
Preferably, the riding performance supervision and analysis process of the safety feedback unit is as follows:
S1: acquiring the time length from the starting time to the ending time of the intelligent spinning, marking the time length as a time threshold, acquiring a rotation characteristic value of the intelligent spinning in the time threshold, wherein the rotation characteristic value represents a part of the maximum circumference of pedal rotation exceeding the maximum circumference of preset pedal rotation in the running use times of the intelligent spinning, normalizing the product value obtained by the part of the maximum temperature value of the rotation friction exceeding the maximum temperature value of the preset rotation friction with data, comparing the rotation characteristic value with a stored preset rotation characteristic value threshold, and marking a part of the rotation characteristic value greater than the preset rotation characteristic value threshold as a rotation deformation value;
S2: acquiring a brake risk value of the intelligent spinning within a time threshold, wherein the brake risk value represents a ratio of brake failure times to brake maintenance times obtained through data normalization, and a product value obtained through data normalization with a brake line risk value, wherein the brake line risk value represents a product value obtained through data normalization with a brake line cracking length and a line port oxidation area, and the rotational deformation value and the brake risk value are respectively marked as XB and SF;
S3: obtaining a riding potential risk coefficient Q according to a formula, and comparing the riding potential risk coefficient Q with a preset riding potential risk coefficient threshold value recorded and stored in the riding potential risk coefficient Q:
If the riding potential risk coefficient Q is smaller than a preset riding potential risk coefficient threshold value, no signal is generated;
And if the riding potential risk coefficient Q is greater than or equal to a preset riding potential risk coefficient threshold value, generating a management signal.
Preferably, the operation safety supervision and evaluation analysis process of the riding supervision unit is as follows:
T1: dividing a time threshold into i sub-time periods, wherein i is a natural number larger than zero, acquiring an operation representation value and a support risk value of the intelligent spinning in each sub-time period, wherein the operation representation value represents a product value obtained by carrying out data normalization on the length of a line segment above a preset curve and the area enclosed by the line segment above the preset curve and the preset curve corresponding to an operation characteristic parameter, the operation characteristic parameter comprises an abnormal sound mean value and an operation temperature mean value, and the support risk value represents a product value obtained by carrying out data normalization on the maximum shaking amplitude and the maximum inclination angle of the intelligent spinning;
t2: the number of the sub-time periods is taken as an X axis, an operation representation value and a support risk value are taken as Y axes, a rectangular coordinate system is established, an operation representation value curve and a support risk value curve are drawn in a dot drawing mode, the part, which is surrounded by the operation representation value curve and the X axis, of the area exceeding a preset threshold is obtained, the part is marked as an operation runaway value, meanwhile, the product value, which is obtained by carrying out data normalization processing on the length of a line segment above the preset support risk value curve and the length of the line segment above the support risk value curve, is obtained, the product value is marked as a risk multiplier value, and the operation runaway value and the risk multiplier value are respectively marked as YS and FB;
T3: according to the formula Obtaining a running runaway risk coefficient, wherein f1, f2 and f3 are respectively a running runaway value, a risk multiplier value and a preset weight factor coefficient of a running potential risk coefficient, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset fault-tolerant factor coefficient, the value is 2.118, P is the running runaway risk coefficient, and the running runaway risk coefficient P is compared with a preset running runaway risk coefficient threshold value recorded and stored in the running runaway risk coefficient P:
If the ratio between the riding runaway risk coefficient P and the preset riding runaway risk coefficient threshold is smaller than 1, generating a normal signal;
If the ratio of the riding runaway risk coefficient P to the preset riding runaway risk coefficient threshold is greater than or equal to 1, generating an early warning signal.
Preferably, the regulation and control supervision feedback operation process of the regulation and control self-checking unit is as follows:
SS1: acquiring an error risk value of the intelligent spinning within a time threshold, wherein the error risk value represents a part of the intelligent spinning resistor, the regulating distance of which deviates from a preset threshold, and a product value obtained by carrying out data normalization processing on a part of the intelligent spinning resistor, the part of which exceeds the preset threshold, with a repeated value of single regulation, wherein the repeated value represents a part of which the touch regulation times exceeds 2 times in the single regulation process;
SS2: obtaining a regulation and control influence value of the intelligent spinning within a time threshold, wherein the regulation and control influence value represents a part of a regulation and control delay time exceeding a preset regulation and control delay time threshold, and then obtaining a product value with an internal environment temperature value of the intelligent spinning after data normalization processing, wherein the regulation and control delay time represents a time period from a regulation and control instruction generation time to a regulation and control start time, comparing and analyzing the regulation and control influence value with a stored preset regulation and control influence value threshold, and marking a part of the regulation and control influence value larger than the preset regulation and control influence value threshold as a regulation and control obstruction value;
SS3: comparing the error risk value and the regulation blocking value with a preset error risk value threshold value and a preset regulation blocking value threshold value which are recorded and stored in the error risk value and the regulation blocking value:
If the error risk value is smaller than a preset error risk value threshold and the regulation blocking value is smaller than a preset regulation blocking value threshold, generating an operation signal;
And if the error risk value is greater than or equal to a preset error risk value threshold or the regulation blocking value is greater than or equal to a preset regulation blocking value threshold, generating an optimization signal.
Preferably, the riding safety evaluation analysis process of the feedback evaluation unit is as follows:
Acquiring an error risk value and a regulation blocking value corresponding to an operation signal in a time threshold, and acquiring a riding runaway risk coefficient P corresponding to a normal signal in the time threshold, wherein the error risk value and the regulation blocking value are respectively marked as WX and TZ;
According to the formula Obtaining a riding evaluation coefficient, wherein v1, v2 and v3 are respectively error risk values, regulation and control blocking values and preset proportional coefficients of the riding runaway risk coefficients, v1, v2 and v3 are positive numbers larger than zero, v4 is a preset compensation factor coefficient, the value is 2.229, R is the riding evaluation coefficient, and the riding evaluation coefficient R is compared with a preset riding evaluation coefficient threshold value recorded and stored in the riding evaluation coefficient R:
If the riding evaluation coefficient R is greater than or equal to a preset riding evaluation coefficient threshold value, generating a display signal;
If the riding evaluation coefficient R is smaller than the preset riding evaluation coefficient threshold value, generating a feedback instruction.
Preferably, the feedback evaluation unit feeds back the instruction:
acquiring a riding evaluation coefficient R corresponding to a feedback instruction, simultaneously acquiring riding evaluation coefficients of normal intelligent spinning within m time thresholds, wherein m is a natural number larger than zero, taking the number as an X axis, taking the riding evaluation coefficients as a Y axis, drawing the riding evaluation coefficients in a dot drawing manner, further acquiring a variation trend value of a riding evaluation coefficient curve, marking the variation trend value as a riding trend value, and comparing the riding trend value with a preset riding trend value threshold which is recorded and stored in the riding trend value:
If the riding trend value is smaller than the preset riding trend value threshold, no signal is generated;
And if the riding trend value is greater than or equal to a preset riding trend value threshold value, generating an early warning pipe adjusting signal.
The beneficial effects of the invention are as follows:
(1) According to the intelligent dynamic bicycle riding monitoring system, analysis is conducted from two angles before riding and during riding, on one hand, the analysis precision of the riding potential risk of the intelligent dynamic bicycle is facilitated, meanwhile, data support is facilitated to be provided for the analysis of the subsequent riding process, on the other hand, riding safety and stability of the intelligent dynamic bicycle are guaranteed, meanwhile, the early warning effect and early warning sensitivity of equipment are improved, and on the premise that the intelligent dynamic bicycle is riding normally, regulation and supervision feedback operation is conducted on regulation and control data, so that whether the regulation and control abnormal risk is too high in the safe riding process of the intelligent dynamic bicycle is judged, timely early warning feedback is facilitated, and the intelligent dynamic bicycle is reasonably and pertinently managed according to the information feedback condition, so that the regulation and control precision and the running stability of the intelligent dynamic bicycle are guaranteed;
(2) According to the intelligent dynamic bicycle riding safety assessment analysis method, riding safety assessment analysis is carried out on the premise that riding regulation and control of the intelligent dynamic bicycle are normal, so that the overall riding safety condition and riding abnormal risk condition of the intelligent dynamic bicycle in the riding process are known, further, early warning sensitivity and early warning decision of the intelligent dynamic bicycle are regulated and controlled according to feedback information, the riding early warning timeliness of the following intelligent dynamic bicycle is improved, the riding safety and monitoring effect of the intelligent dynamic bicycle are improved, and meanwhile the riding experience of the intelligent dynamic bicycle is enhanced.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a front elevational view of the structure of the present invention;
FIG. 2 is a flow chart of the system of the present invention;
legend description: 1. a support base plate; 2. a positioning plate; 3. a main body housing; 4. a turntable; 5. a foot pedal; 6. a seat; 7. an adjusting frame; 8. an operating frame.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
Referring to fig. 1 to 2, the invention discloses an automatic intelligent spinning, which comprises a supporting bottom plate 1, wherein a positioning plate 2 is fixedly connected to the front surface and the rear surface of the supporting bottom plate 1, a main body shell 3 is fixedly connected to the upper surface of the supporting bottom plate 1, a turntable 4 is rotatably connected to the inside of the main body shell 3, a pedal 5 is fixedly connected to the front surface of the turntable 4, a seat 6 is fixedly connected to one side of the upper surface of the main body shell 3, an adjusting frame 7 is fixedly connected to one end, far away from the seat 6, of the upper surface of the main body shell 3, an operating frame 8 is fixedly connected to the upper surface of the adjusting frame 7, and a safety supervision platform is arranged inside the operating frame 8.
And II, implementation:
the operation safety protection system of the automatic intelligent spinning comprises a supervision service end, a data acquisition unit, a riding supervision unit, a safety feedback unit, a regulation and control self-checking unit, a feedback evaluation unit and a riding management unit, wherein the supervision service end is in unidirectional communication connection with the data acquisition unit, the data acquisition unit is in unidirectional communication connection with the riding supervision unit and the safety feedback unit, the riding supervision unit is in bidirectional communication connection with the safety feedback unit, the safety feedback unit is in unidirectional communication connection with the riding management unit, the riding supervision unit is in unidirectional communication connection with the regulation and control self-checking unit, the regulation and control self-checking unit is in unidirectional communication connection with the riding management unit, and the regulation and control self-checking unit is in bidirectional communication connection with the feedback evaluation unit;
When the supervision server generates a management instruction, the management instruction is sent to the data acquisition unit, the data acquisition unit immediately acquires operation data and performance data of the intelligent spinning after receiving the management instruction, the operation data comprise an operation performance value and a support risk value, the performance data comprise a rotation characteristic value and a brake risk value, the operation data and the performance data are respectively sent to the riding supervision unit and the safety feedback unit, the safety feedback unit immediately carries out riding performance supervision analysis on the performance data after receiving the performance data so as to judge whether the potential abnormal risk is too high in the riding process of the intelligent spinning, further, the data support is improved for the follow-up riding supervision analysis, the analysis is carried out by combining the potential risk, the analysis precision is improved, and the specific riding performance supervision analysis process is as follows:
Acquiring the time length from the starting time to the ending time of the intelligent spinning, marking the time length as a time threshold, acquiring a rotation characteristic value of the intelligent spinning in the time threshold, wherein the rotation characteristic value represents a part of the maximum circumference of pedal rotation exceeding the maximum circumference of preset pedal rotation in the running use times of the intelligent spinning, then carrying out data normalization processing on the part of the maximum temperature value of the rotation friction exceeding the maximum temperature value of the preset rotation friction to obtain a product value, comparing the rotation characteristic value with a stored preset rotation characteristic value threshold, marking a part of the rotation characteristic value greater than the preset rotation characteristic value threshold as a rotation deformation value, and the larger the value of the rotation deformation value is required to be, so that the potential risk of the intelligent spinning is larger;
Acquiring a brake risk value of the intelligent spinning in a time threshold, wherein the brake risk value represents a ratio of brake failure times to brake maintenance times obtained through data normalization, and a product value obtained through data normalization with a brake line risk value, wherein the brake line risk value represents a product value obtained through data normalization with a brake line cracking length and a line port oxidation area, and the larger the value of the brake risk value is, the larger the potential risk of the intelligent spinning is, and the rotation deformation value and the brake risk value are respectively marked as XB and SF;
According to the formula Obtaining a riding potential risk coefficient, wherein a1 and a2 are preset scale factor coefficients of a rotational deformation value and a brake risk value respectively, the scale factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that a calculation result is more accurate, a1 and a2 are positive numbers larger than zero, a3 is a preset correction factor coefficient, a value is 1.282, Q is the riding potential risk coefficient, the riding potential risk coefficient Q is sent to a riding monitoring unit, and the riding potential risk coefficient Q is compared with a preset riding potential risk coefficient threshold value recorded and stored in the riding potential risk coefficient Q:
If the riding potential risk coefficient Q is smaller than a preset riding potential risk coefficient threshold value, no signal is generated;
If the riding potential risk coefficient Q is greater than or equal to a preset riding potential risk coefficient threshold value, generating a management signal, and sending the management signal to a riding management unit, wherein the riding management unit immediately makes a preset early warning operation corresponding to the management signal after receiving the management signal, so that the potential risk is managed in time, and the influence of the potential risk on riding safety is reduced;
The riding monitoring unit immediately carries out operation safety monitoring evaluation analysis on the operation data after receiving the operation data so as to judge whether the riding risk of the intelligent spinning is too high or not, so that timely early warning feedback is realized, the riding safety and stability of the intelligent spinning are ensured, and the specific operation safety monitoring evaluation analysis process is as follows:
Dividing a time threshold into i sub-time periods, wherein i is a natural number larger than zero, acquiring an operation representation value and a support risk value of the intelligent spinning in each sub-time period, wherein the operation representation value represents a product value obtained by carrying out data normalization processing on the length of a line segment above a preset curve and the area enclosed by the upper line segment and the preset curve of a curve corresponding to an operation characteristic parameter, the operation characteristic parameter comprises an abnormal sound mean value, an operation temperature mean value and the like, and the support risk value represents a product value obtained by carrying out data normalization processing on the maximum shaking amplitude and the maximum inclination angle of the intelligent spinning, and the operation representation value and the support risk value are two influence parameters reflecting the operation risk of the intelligent spinning;
The number of the sub-time periods is taken as an X axis, an operation representation value and a support risk value are taken as Y axes, a rectangular coordinate system is established, an operation representation value curve and a support risk value curve are drawn in a dot drawing mode, the part, which is surrounded by the operation representation value curve and the X axis, of the area exceeding a preset threshold is obtained, the part is marked as an operation runaway value, meanwhile, the product value, which is obtained by carrying out data normalization processing on the length of a line segment above the preset support risk value curve and the length of the line segment above the support risk value curve, is obtained, the product value is marked as a risk multiplier value, and the operation runaway value and the risk multiplier value are respectively marked as YS and FB;
According to the formula Obtaining a running runaway risk coefficient, wherein f1, f2 and f3 are respectively a running runaway value, a risk multiplier value and a preset weight factor coefficient of a running potential risk coefficient, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset fault-tolerant factor coefficient, the value is 2.118, P is the running runaway risk coefficient, and the running runaway risk coefficient P is compared with a preset running runaway risk coefficient threshold value recorded and stored in the running runaway risk coefficient P:
If the ratio between the riding runaway risk coefficient P and the preset riding runaway risk coefficient threshold is smaller than 1, generating a normal signal, and sending the normal signal to the regulation and control self-checking unit;
If the ratio between the running out of control risk coefficient P and the preset running out of control risk coefficient threshold is greater than or equal to 1, an early warning signal is generated and sent to the running management unit through the safety feedback unit, and after the running management unit receives the early warning signal, preset early warning operation corresponding to the early warning signal is immediately carried out, so that a rider is reminded to pay attention to running safety, and the early warning effect of equipment is improved.
Embodiment two:
The regulation and control self-checking unit immediately collects regulation and control data of the intelligent spinning after receiving normal signals, the regulation and control data comprise error risk values and regulation and control influence values, regulation and control feedback operation is carried out on the regulation and control data, whether abnormal regulation and control risks are too high in the safe riding process of the intelligent spinning is judged, so that timely early warning feedback is carried out, and the intelligent spinning is reasonably and pointedly managed according to information feedback conditions, so that the regulation and control precision and operation safety of the intelligent spinning are guaranteed, and the specific regulation and control feedback operation process is as follows:
Obtaining an error risk value of the intelligent spinning within a time threshold, wherein the error risk value represents a part of the intelligent spinning resistor, the regulating distance of which deviates from a preset threshold, and a product value obtained by carrying out data normalization processing on the part of the intelligent spinning resistor, the part of which exceeds the preset threshold, and the repeating value represents a part of which the number of times of touch regulation exceeds 2 times in a single regulating process, for example, 3 times of touch regulation in the single regulating process, the repeating value is 3-2=1, 5 times of touch regulation in the single regulating process, the repeating value is 5-2=3, and the larger the value of the error risk value is, the larger the intelligent spinning regulating risk is required to be;
Obtaining a regulation influence value of the intelligent spinning within a time threshold, wherein the regulation influence value represents a part of a regulation delay time exceeding a preset regulation delay time threshold, and then the regulation delay time and an internal environment temperature value of the intelligent spinning are subjected to data normalization processing to obtain a product value, the regulation delay time represents a time period from a regulation instruction generation time to a regulation start time, the regulation influence value is compared with a stored preset regulation influence value threshold for analysis, and a part of the regulation influence value which is larger than the preset regulation influence value threshold is marked as a regulation blocking value;
comparing the error risk value and the regulation blocking value with a preset error risk value threshold value and a preset regulation blocking value threshold value which are recorded and stored in the error risk value and the regulation blocking value:
If the error risk value is smaller than a preset error risk value threshold and the regulation blocking value is smaller than a preset regulation blocking value threshold, generating an operation signal and sending the operation signal to a feedback evaluation unit;
If the error risk value is greater than or equal to a preset error risk value threshold or the regulation blocking value is greater than or equal to a preset regulation blocking value threshold, generating an optimization signal, and sending the optimization signal to a riding management unit, wherein the riding management unit immediately makes a preset early warning operation corresponding to the optimization signal after receiving the optimization signal, and further reasonably and pertinently manages the intelligent spinning according to the information feedback condition so as to ensure the regulation precision and the operation safety of the intelligent spinning and simultaneously is beneficial to improving the riding experience of the intelligent spinning;
the feedback evaluation unit immediately carries out riding safety evaluation analysis after receiving the operation signal so as to know the overall riding safety condition and riding abnormal risk condition of the intelligent spinning in the riding process, so that the intelligent spinning is maintained and managed reasonably and pertinently, the overall riding safety and riding comfort of the intelligent spinning are ensured, and the specific riding safety evaluation analysis process is as follows:
Acquiring an error risk value and a regulation blocking value corresponding to an operation signal in a time threshold, and acquiring a riding runaway risk coefficient P corresponding to a normal signal in the time threshold, wherein the error risk value and the regulation blocking value are respectively marked as WX and TZ;
According to the formula Obtaining a riding evaluation coefficient, wherein v1, v2 and v3 are respectively error risk values, regulation and control blocking values and preset proportional coefficients of the riding runaway risk coefficients, v1, v2 and v3 are positive numbers larger than zero, v4 is a preset compensation factor coefficient, the value is 2.229, R is the riding evaluation coefficient, and the riding evaluation coefficient R is compared with a preset riding evaluation coefficient threshold value recorded and stored in the riding evaluation coefficient R:
If the riding evaluation coefficient R is greater than or equal to a preset riding evaluation coefficient threshold value, generating a display signal, sending the display signal to a riding management unit through a regulation and control self-checking unit, and immediately making a preset early warning operation corresponding to the display signal after the riding management unit receives the display signal, so as to rationally manage the intelligent spinning, reduce the riding risk of the intelligent spinning and remind a rider of safe riding;
If the riding evaluation coefficient R is smaller than a preset riding evaluation coefficient threshold value, generating a feedback instruction, when the feedback instruction is generated, acquiring the riding evaluation coefficient R corresponding to the feedback instruction, simultaneously acquiring the riding evaluation coefficients of the normal intelligent spinning within m time thresholds, wherein m is a natural number larger than zero, the number is an X axis, the riding evaluation coefficients are a Y axis, drawing the riding evaluation coefficients in a dot drawing mode, further acquiring a variation trend value of a riding evaluation coefficient curve, marking the variation trend value as a riding trend value, and comparing the riding trend value with a preset riding trend value threshold value recorded and stored in the riding trend value:
If the riding trend value is smaller than the preset riding trend value threshold, no signal is generated;
If the riding trend value is greater than or equal to a preset riding trend value threshold, an early warning pipe adjusting signal is generated, the early warning pipe adjusting signal is sent to a riding management unit through a regulation and control self-checking unit, and after the early warning pipe adjusting signal is received, the riding management unit immediately makes preset early warning operation corresponding to the early warning pipe adjusting signal, and further regulates and controls early warning sensitivity and early warning decision of the intelligent spinning according to feedback information so as to improve riding early warning timeliness of the follow-up intelligent spinning and improve riding safety and monitoring effect of the intelligent spinning;
In summary, the analysis is performed from two angles before riding and during riding, on one hand, the analysis precision of the potential risk of riding of the intelligent spinning is facilitated, meanwhile, the data support is provided for the analysis of the following riding process, on the other hand, the riding safety and stability of the intelligent spinning are guaranteed, the early warning effect and early warning sensitivity of equipment are improved, and on the premise that the intelligent spinning is riding normally, the regulation and supervision feedback operation is performed on the regulation and control data, so that whether the regulation and control abnormal risk is too high in the process of safe riding of the intelligent spinning is judged, so that timely early warning feedback is performed, the intelligent spinning is reasonably and purposefully managed according to the information feedback condition, the regulation and control precision and the running stability of the intelligent spinning are guaranteed, the riding safety assessment analysis is performed on the premise that the regulation and control of the intelligent spinning is normally, the whole riding safety condition and the abnormal condition of riding of the intelligent spinning are known, and the intelligent spinning sensitivity and early warning decision are further performed according to the feedback information, so that the regulation and control safety of the following intelligent spinning is improved, and the riding safety of the intelligent spinning is improved.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
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| CN118068841A (en) * | 2024-04-22 | 2024-05-24 | 东莞理工学院 | An intelligent obstacle avoidance system for logistics AGV based on multi-sensor technology |
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