A control system for driving simulation operation

Abstract

The present invention discloses a control system for driving simulation operation, including: a data acquisition module, which is used to collect operator data information and simulation equipment operation information, and send it to a processing combination module; the processing combination module converts the operator data information into numerical information, converts the simulation equipment operation information into numerical information, and sends it to a calculation analysis module; the calculation analysis module calculates the converted operator data information to obtain a human matching value, and calculates the converted simulation equipment operation information to obtain a setting matching value; a matching prompt module allocates different simulation contents based on the operator's human matching value, and determines whether to upgrade the simulation equipment based on the setting matching value. The simulation contents of the same level are adaptively matched according to the operation levels of different operators, which greatly improves the purpose of the simulation effect.

Description

Technical Field

[0001] The present invention belongs to the technical field of simulation, and more specifically, the present invention relates to a control system for driving simulation operation. Background Art

[0002] Simulation refers to the simulation of appearance, operation or visual experience. It uses VR technology (virtual reality technology) or displays to make participants feel immersive through actual operation. It is mainly used for simulated driving, training, demonstration, teaching and training.

[0003] Crane is the common name for bridge cranes such as cranes and overhead cranes. Cranes are basically the same as what we call cranes. There are basically two types of crane drive modes. One is centralized drive, that is, an electric motor drives a long drive shaft to drive the active wheels on both sides; the other is separate drive, that is, the active wheels on both sides are driven by an electric motor respectively.

[0004] Most of the existing control systems for intelligent driving simulation operations assign different levels of simulation content to operators based on subjective evaluation or impression, and there is often a mismatch between the level of simulation content and the level of the operator. Summary of the invention

[0005] The present invention provides a control system for driving simulation operation, aiming to improve the above problems.

[0006] The present invention is implemented as follows: a control system for driving simulation operation, the control system comprising:

[0007] Data acquisition module, data transmission module, processing combination module, calculation analysis module and matching prompt module;

[0008] The data acquisition module is used to collect the data information of the operator and the operation information of the simulation equipment, and send it to the processing combination module;

[0009] The processing combination module converts the operator's data information into numerical information, converts the operation information of the simulation equipment into numerical information, and sends it to the calculation and analysis module;

[0010] The calculation and analysis module calculates the converted operator data information to obtain the human matching value, and calculates the converted simulation equipment operation information to obtain the equipment matching value;

[0011] The matching prompt module allocates different simulation contents based on the operator's human matching value, and determines whether to upgrade the simulation device based on the device matching value.

[0012] Furthermore, the operator's data information includes: the operator's learning data, work data and historical operation data;

[0013] The numerical transformation of learning data is as follows:

[0014] The school data includes: the graduation school and graduation major. The graduation school A1 of the operator is obtained, and the school preset value D1 corresponding to the graduation school A1 is obtained; the graduation major A2 of the operator is obtained, and the major preset value D2 corresponding to the graduation major A2 is obtained. The school preset value D1 and the major preset value D2 are combined to obtain the converted learning data;

[0015] The specific numerical conversion of work data is as follows: work unit, work position and working time composition; obtain the work unit A3 of the operator, and obtain the unit preset value D3 corresponding to the work unit A3; obtain the work position A4 of the operator, and obtain the position preset value D4 corresponding to the work position A4, combine the work unit A3, work position A4, working time D5, unit preset value D3 and position preset value D4 to obtain the converted work data;

[0016] The numerical conversion of historical operation data is as follows:

[0017] The number of operations D6, the operation duration D7 and the operation score D8 in the historical operation data are obtained; the number of operations D6, the operation duration D7 and the operation score D8 are combined to obtain the converted historical operation data.

[0018] Furthermore, the operation information of the simulation device includes: simulation content data and simulation operation data;

[0019] The numerical conversion method of the simulation content data is as follows: obtaining the simulation content unit A5 of the simulation device, and obtaining the simulation preset value C1 corresponding to the simulation content unit A5;

[0020] The simulation runtime C2 and the simulation operation pass rate C3 of the simulation device are obtained, and the simulation runtime C2 and the simulation operation pass rate C3 are combined.

[0021] Furthermore, the calculation formula of the human matching value RP is as follows:

[0022]

[0023] Among them, g1, g2, g3, g4, g5, g6 and g7 represent different proportional coefficients and are all greater than zero, D1′ represents the normalized preset value of the school, D2′ represents the normalized preset value of the major, D3′ represents the normalized preset value of the unit, D4′ represents the normalized preset value of the position, D5′ represents the normalized working time, D6′ represents the normalized number of operations, D7′ represents the normalized operation time, D8′ represents the normalized operation score, and δ represents the preset correction factor.

[0024] Furthermore, the formula of the matching value SP is as follows:

[0025]

[0026] Among them, a1 and a2 represent different proportional coefficients and are both greater than zero, C1′ represents the simulation preset value after normalization, C2′ represents the simulation running time after normalization, and C3′ represents the simulation running pass rate after normalization.

[0027] Furthermore, the simulation content allocation method based on human matching value is as follows:

[0028] Match the operator's person matching value with the preset person matching range. If the person matching value is not greater than the minimum value of the person matching range, a first person matching signal is generated and put into the person matching signal set; if the operator's person matching value is greater than the minimum value of the person matching range and not greater than the maximum value of the person matching range, a second person matching signal is generated and put into the person matching signal set; if the operator's person matching value is greater than the maximum value of the person matching range, a third person matching signal is generated and put into the person matching signal set;

[0029] The professional level of the operator corresponding to the first person matching signal is lower than that of the operator corresponding to the second person matching signal, and the professional level of the operator corresponding to the second person matching signal is lower than that of the operator corresponding to the third person matching signal.

[0030] Further, the setting matching value of the simulation device is matched with a preset setting matching threshold. If the setting matching value is not greater than the setting matching threshold, a first setting matching signal is generated and put into the setting matching signal set; if the setting matching value is greater than the setting matching threshold, a second setting matching signal is generated and put into the setting matching signal set;

[0031] The operation of the simulation device corresponding to the first matching signal is normal and does not need to be upgraded. The operation of the simulation device corresponding to the second matching signal can no longer meet the simulation training requirements and needs to be upgraded.

[0032] Furthermore, the system also includes:

[0033] The data self-collection unit is used to store all driving operation counterexamples and evaluate the real-time operation of the operator.

[0034] Furthermore, the evaluation process is as follows:

[0035] Construct emergency samples and example operations of each emergency sample during driving operation simulation. The example operation consists of a series of example operations and the intervals between adjacent example operations.

[0036] Add emergency samples to the driving simulation process, compare the operator's actual emergency operations with the sample operations, and form an evaluation of the operator's current emergency operations.

[0037] Furthermore, the actual emergency operation of the operator is divided into the actual operation and the interval time between adjacent real-time operations. The actual emergency operation score H of the operator is calculated as follows:

[0038]

[0039] Where n represents the number of actual operations segmented from the actual emergency operation, Qi represents the operation weight of the ith actual operation, when the ith real-time operation is consistent with the corresponding example operation, the operation weight Qi = 1, otherwise the operation weight Qi = 0; Pi represents the time score of the ith time interval, and the specific calculation formula of the time score Pi is:

[0040] Pi = 100-100×|the ith real-time interval-the ith post-interval| / the ith post-interval;

[0041] In the formula, |*| represents the absolute value of the number in the brackets, the i-th real-time interval represents the time interval between the i-th real-time operation and the i+1-th actual operation time, and the i-th post-operation interval represents the time interval between the i-th example operation and the i+1-th example operation.

[0042] The control system for driving simulation operation provided by the present invention adaptively matches simulation contents of the same level according to the operation levels of different operators, thereby greatly improving the purpose of simulation effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A schematic diagram of the structure of a control system for driving simulation operation provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0044] The specific implementation modes of the present invention are further explained in detail below by describing the embodiments with reference to the accompanying drawings, so as to help those skilled in the art to have a more complete, accurate and in-depth understanding of the inventive concept and technical solution of the present invention.

[0045] Figure 1 The schematic diagram of the structure of the control system for driving simulation operation provided by the embodiment of the present invention only shows the part related to the embodiment of the present invention for the convenience of explanation.

[0046] The system includes: a data acquisition module, a data transmission module, a processing and combination module, a calculation and analysis module and a matching prompt module;

[0047] The data collection module includes: a personnel collection unit and an equipment collection unit;

[0048] The personnel collection unit is used to collect the data information of the operator, which includes the operator's learning data, work data and historical operation data;

[0049] The device collection unit is used to collect the operation information of the simulation device, and the operation information includes simulation content data and simulation operation data;

[0050] The operator's data information and the operation information of the simulation equipment are sent to the processing combination module through the data transmission module;

[0051] In an embodiment of the present invention, the personnel collection form can comprehensively consider the operator's business capabilities from multiple aspects by collecting the operator's learning data, work data and historical operation data, which is convenient for dynamically allocating different levels of simulation content to operators of different levels, so that the effect of simulation operation can be optimized; the equipment collection unit can timely maintain the operation of the simulation equipment and upgrade the content in a timely manner by collecting the operation information of the simulation equipment.

[0052] After receiving the operator's data information and the operation information of the simulation device, the processing combination module processes the operator's data information and the operation information of the simulation device to obtain the operator's data processing information and the operation processing information of the simulation device, wherein the operator's data processing information includes learning processing data, work processing data and historical operation processing data, and the operation processing information of the simulation device includes simulation content processing data and simulation operation processing data. The following is a detailed description of the processing process of the operator's data information and the operation information of the simulation device, as follows:

[0053] (1) Processing of learning data;

[0054] Processing of graduating schools: obtain the graduating school A1 of the operator, and obtain the school preset value D1 corresponding to the graduating school A1; each graduating school corresponds to a school preset value, match the graduating school A1 of the operator with all the graduating schools, and obtain the school preset value corresponding to the graduating school A1; processing of graduating majors: obtain the graduating major A2 of the operator, and obtain the major preset value D2 corresponding to the graduating major A2; each graduating major corresponds to a major preset value, match the graduating major A2 with all the graduating majors, and obtain the major preset value D2 corresponding to the graduating major A2; combine the graduating school A1, the graduating major A2, the school preset value D1 and the major preset value D2 to obtain the learning processing data.

[0055] (2) Processing of work processing data;

[0056] Obtain the operator's work unit A3, and obtain the unit preset value D3 corresponding to the work unit A3; each work unit corresponds to a unit preset value, match the operator's work unit A3 with all work units, and obtain the unit preset value D3 corresponding to the work unit A3, where the work unit includes but is not limited to private enterprises, state-owned enterprises, institutions or self-employed individuals; obtain the operator's job position A4, and obtain the job preset value D4 corresponding to the job position A4, each job position corresponds to a job preset value, match the job position A4 with all job positions, obtain the job preset value D4 corresponding to the job position A4, and obtain the working time D5 on the job position A4; combine the work unit A3, the job position A4, the working time D5, the unit preset value D3 and the job preset value D4 to obtain the work processing data.

[0057] (3) Processing of historical operation data;

[0058] The number of operations D6, the operation duration D7 and the operation score D8 in the historical operation data are obtained; the number of operations D6, the operation duration D7 and the operation score D8 are combined to obtain the historical operation processing data.

[0059] (4) Processing of analog content data;

[0060] Acquire the simulation content unit A5 of the simulation device, and acquire the simulation preset value C1 corresponding to the simulation content unit A5, each simulation content unit corresponds to a simulation preset value, match the simulation content unit A5 with all the simulation content units, acquire the simulation preset value C1 corresponding to the simulation content unit A5, combine the simulation content unit A5 and the simulation preset value C1, and obtain simulation content processing data;

[0061] (5) Processing of simulation operation data;

[0062] The simulation running time C2 and the simulation running pass rate C3 of the simulation device are obtained, and the simulation running time C2 and the simulation running pass rate C3 are combined to obtain the simulation running processing data.

[0063] The processing combination module sends the processed operator data information and the operation information of the simulation equipment to the calculation and analysis module through the data transmission module;

[0064] (1) The calculation and analysis module calculates the processed operator data information to obtain the person matching value; the processed operator data information is normalized and the person matching value RP is calculated using the following formula. The specific formula is as follows:

[0065]

[0066] Among them, g1, g2, g3, g4, g5, g6 and g7 represent different proportional coefficients and are all greater than zero and less than 1, D1′ represents the normalized preset value of the school, D2′ represents the normalized preset value of the major, D3′ represents the normalized preset value of the unit, D4′ represents the normalized preset value of the position, D5′ represents the normalized working time, D6′ represents the normalized number of operations, D7′ represents the normalized operation time, D8′ represents the normalized operation score, δ represents the preset correction factor, and the value is 0.641572; the human matching values ​​RP of all operators are arranged in descending order to obtain the human matching sorting set.

[0067] (2) The calculation and analysis module calculates the processed operation information of the simulation device to obtain the set matching value, normalizes the processed operation information of the simulation device, and calculates the set matching value SP using the following formula. The specific formula is as follows:

[0068]

[0069] Among them, a1 and a2 represent different proportional coefficients, and their values ​​are greater than zero and less than 1. C1′ represents the simulation preset value after normalization, C2′ represents the simulation running time after normalization, and C3′ represents the simulation running pass rate after normalization. The setting matching values ​​of all simulation devices are arranged in descending order to obtain the setting matching sorted set.

[0070] Analyze the person matching value and the setting matching value to obtain the analysis set. The specific process is as follows:

[0071] The operator's matching value is matched with the preset matching range. If the matching value is not greater than the minimum value of the matching range, a first matching signal is generated and put into the matching signal set; if the operator's matching value is greater than the minimum value of the matching range and not greater than the maximum value of the matching range, a second matching signal is generated and put into the matching signal set; if the operator's matching value is greater than the maximum value of the matching range, a third matching signal is generated and put into the matching signal set.

[0072] The setting matching value of the simulated device is matched with the preset setting matching threshold. If the setting matching value is not greater than the setting matching threshold, a first setting matching signal is generated and put into the setting matching signal set; if the setting matching value is greater than the setting matching threshold, a second setting matching signal is generated and put into the setting matching signal set.

[0073] Classify and combine the human matching signal set and the device matching signal set to obtain an analysis set, and send the analysis set to the matching prompt module through the data transmission module;

[0074] The matching prompt module is used to receive the analysis set and assign different simulation contents to the operator, including:

[0075] In an embodiment of the present invention, different simulation contents are assigned to the first person matching signal, the second person matching signal or the third person matching signal in the person matching signal set. The different simulation contents may include but are not limited to simulation operations of elementary, intermediate and advanced difficulty levels, and may be set based on existing simulation operation levels. The simulation operations of elementary, intermediate and advanced difficulty levels are used as an example for explanation. The first person matching signal indicates that the corresponding operator has a low professional level, and the elementary simulation operation content is matched; the second person matching signal indicates that the corresponding operator has an intermediate professional level, and the intermediate simulation operation content is matched; the third person matching signal indicates that the corresponding operator has a high professional level, and the advanced simulation operation content is matched.

[0076] The first matching signal indicates that the operation of the simulation device is normal and does not need to be upgraded or updated. The second matching signal indicates that the operation of the simulation device can no longer meet the simulation training requirements and the system needs to be upgraded or updated.

[0077] In an embodiment of the present invention, the system further includes:

[0078] The data self-collection unit is used to store all driving operation counter-examples and evaluate the real-time operation of the operator. Driving operation counter-examples refer to the rescue operation when an accident occurs during driving operation;

[0079] The specific evaluation method is as follows:

[0080] Construct emergency samples and example operations of each emergency sample during driving operation simulation. The example operation consists of a series of example operations and the intervals between adjacent example operations.

[0081] Add emergency samples to the driving simulation process, compare the operator's actual emergency operations with the sample operations, and form an evaluation of the operator's current emergency operations.

[0082] When simulating the driving operation, problems may occur when adding the corresponding objects of the driving and lifting, such as unstable hooks or other safety situations during the driving and lifting, which are marked as emergency information. Several emergency information constitute emergency samples; then form a sample operation for each emergency sample, the sample operation is the correct operation for the emergency sample, and the sample operation is divided into a series of example operations and the interval between adjacent example operations; among them, the example operation is the standard operation step for the emergency sample, such as the specific position of the driving direction, and the interval is the time interval between the previous example operation and the next example operation;

[0083] Compare the actual emergency operation performed by the operator on the emergency information with the sample operation, segment the actual emergency operation of the operator according to the above method, obtain the actual operation of the operator and obtain the interval time between the two real-time operations, which is the real-time interval; compare each real-time operation of the user with the sample operation, and mark the operation weight according to the comparison result.

[0084] When the i-th real-time operation is consistent with the corresponding example operation and the order is consistent, the operation weight Qi of the corresponding consistent real-time operation is marked as 1, otherwise Qi is marked as 0. Based on the above method, the operation weights i=1...n of all actual operations can be obtained. There are n real-time operations in the current actual emergency operation, and the corresponding Qi is represented as the operation weight Qi of the i-th real-time operation;

[0085] Get each real-time interval, compare it with the corresponding post-time interval, and calculate the time score according to the formula. The specific calculation formula for the time score is:

[0086] Time score = 100-100×|real-time interval-post-time interval| / post-time interval;

[0087] In the formula, |*| means taking the absolute value of the value in brackets;

[0088] Get the evaluation scores of all real-time intervals and mark them as Pi, i=1,...,n-1; here the last real-time operation does not have a corresponding real-time interval, so i is the maximum n-1; Pi corresponds to Qi; use the following formula to calculate the actual emergency operation score H of the operator, the specific formula is:

[0089]

[0090] When H exceeds the set scoring threshold X1, a qualified emergency operation processing signal of the operator is generated, otherwise a failed emergency operation signal of the operator is generated; the data collection unit sends the qualified emergency operation processing signal or the failed emergency operation signal to the manager's smart terminal. The proportional coefficient and threshold in the above formula are set by technicians in this field according to actual conditions.

[0091] The present invention has been described exemplarily. Obviously, the specific implementation of the present invention is not limited to the above-mentioned method. As long as various non-substantial improvements are made using the method concept and technical solution of the present invention, or the concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A control system for driving simulation operation, characterized in that: The control system comprises: Data acquisition module, data transmission module, processing combination module, calculation analysis module and matching prompt module; The data acquisition module is used to collect the data information of the operator and the operation information of the simulation equipment, and send it to the processing combination module; The processing combination module converts the operator's data information into numerical information, converts the operation information of the simulation equipment into numerical information, and sends it to the calculation and analysis module; The calculation and analysis module calculates the converted operator data information to obtain the human matching value, and calculates the converted simulation equipment operation information to obtain the equipment matching value; The matching prompt module allocates different simulation contents based on the operator's human matching value, and determines whether to upgrade the simulation equipment based on the matching value; The calculation formula of human matching value RP is as follows: Among them, g1, g2, g3, g4, g5, g6 and g7 represent different proportional coefficients and are all greater than zero, D1′ represents the normalized preset value of the school, D2′ represents the normalized preset value of the major, D3′ represents the normalized preset value of the unit, D4′ represents the normalized preset value of the position, D5′ represents the normalized working time, D6′ represents the normalized number of operations, D7′ represents the normalized operation time, D8′ represents the normalized operation score, and δ represents the preset correction factor; The formula of matching value SP is as follows: Among them, a1 and a2 represent different proportional coefficients and are both greater than zero, C1′ represents the simulation preset value after normalization, C2′ represents the simulation running time after normalization, and C3′ represents the simulation running pass rate after normalization.

2. The control system for driving simulation operation as claimed in claim 1, characterized in that: The operator's data information includes: the operator's learning data, work data and historical operation data; The numerical transformation of learning data is as follows: The school data includes: the graduation school and graduation major. The graduation school A1 of the operator is obtained, and the school preset value D1 corresponding to the graduation school A1 is obtained; the graduation major A2 of the operator is obtained, and the major preset value D2 corresponding to the graduation major A2 is obtained. The school preset value D1 and the major preset value D2 are combined to obtain the converted learning data; The numerical conversion of work data is as follows: work unit, work position and working time composition; obtain the work unit A3 of the operator, and obtain the unit preset value D3 corresponding to the work unit A3; obtain the work position A4 of the operator, and obtain the position preset value D4 corresponding to the work position A4, combine the work unit A3, work position A4, working time D5, unit preset value D3 and position preset value D4 to obtain the converted work data; The numerical conversion of historical operation data is as follows: The number of operations D6, the operation duration D7 and the operation score D8 in the historical operation data are obtained; the number of operations D6, the operation duration D7 and the operation score D8 are combined to obtain the converted historical operation data.

3. The control system for driving simulation operation as claimed in claim 1, characterized in that: The operation information of the simulation device includes: simulation content data and simulation operation data; The numerical conversion method of the simulation content data is as follows: obtaining the simulation content unit A5 of the simulation device, and obtaining the simulation preset value C1 corresponding to the simulation content unit A5; The simulation operation time C2 and the simulation operation pass rate C3 of the simulation device are obtained, and the simulation operation time C2 and the simulation operation pass rate C3 are combined.

4. The control system for driving simulation operation as claimed in claim 1, characterized in that: The simulation content allocation method based on human matching value is as follows: Match the operator's person matching value with the preset person matching range. If the person matching value is not greater than the minimum value of the person matching range, a first person matching signal is generated and put into the person matching signal set; if the operator's person matching value is greater than the minimum value of the person matching range and not greater than the maximum value of the person matching range, a second person matching signal is generated and put into the person matching signal set; if the operator's person matching value is greater than the maximum value of the person matching range, a third person matching signal is generated and put into the person matching signal set; The professional level of the operator corresponding to the first person matching signal is lower than that of the operator corresponding to the second person matching signal, and the professional level of the operator corresponding to the second person matching signal is lower than that of the operator corresponding to the third person matching signal.

5. The control system for driving simulation operation as claimed in claim 1, characterized in that: Matching the setting matching value of the simulation device with the preset setting matching threshold, if the setting matching value is not greater than the setting matching threshold, generating a first setting matching signal and putting it into the setting matching signal set; if the setting matching value is greater than the setting matching threshold, generating a second setting matching signal and putting it into the setting matching signal set; The operation of the simulation device corresponding to the first matching signal is normal and does not need to be upgraded. The operation of the simulation device corresponding to the second matching signal can no longer meet the simulation training requirements and needs to be upgraded.

6. The control system for driving simulation operation as claimed in claim 1, characterized in that: The system further comprises: The data self-collection unit is used to store all driving operation counterexamples and evaluate the real-time operation of the operator.

7. The control system for driving simulation operation as claimed in claim 6, characterized in that: The evaluation process is as follows: Construct emergency samples and example operations of each emergency sample during driving operation simulation. The example operation consists of a series of example operations and the intervals between adjacent example operations. Add emergency samples to the driving simulation process, compare the operator's actual emergency operations with the sample operations, and form an evaluation of the operator's current emergency operations.

8. The control system for driving simulation operation as claimed in claim 7, characterized in that: The actual emergency operation of the operator is divided into the actual operation and the interval time between adjacent real-time operations. The actual emergency operation score H of the operator is calculated as follows: Where n represents the number of actual operations segmented from the actual emergency operation, Qi represents the operation weight of the ith actual operation, when the ith real-time operation is consistent with the corresponding example operation, the operation weight Qi = 1, otherwise the operation weight Qi = 0; Pi represents the time score of the ith time interval, and the specific calculation formula of the time score Pi is: Pi = 100-100×|the ith real-time interval-the ith post-interval| / the ith post-interval; In the formula, |*| represents the absolute value of the number in the brackets, the i-th real-time interval represents the time interval between the i-th real-time operation and the i+1-th actual operation time, and the i-th post-operation interval represents the time interval between the i-th example operation and the i+1-th example operation.

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