Dredger operation data acquisition and processing system

Abstract

The invention discloses a dredger operation data acquisition and processing system, and relates to the technical field of data processing. According to the method, data sets of different operation positions are received, excavation depth, slurry concentration, slurry flow and dredging time parameters are extracted and substituted into a formula to calculate an excavation efficiency index, operation position coordinates are associated to form a data pair, then an overall efficiency average index, a highest index and a lowest index are further calculated, and a regional efficiency index is calculated in a weighted mode; the mining efficiency is comprehensively and quantitatively evaluated from local to overall, and the problem that in the prior art, only simple efficiency estimation can be carried out, and the overall efficiency condition and the efficiency condition of different areas cannot be accurately grasped is solved.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, in particular to a dredging ship operation data acquisition and processing system. Background Art

[0002] Dredgers play a vital role in water conservancy projects such as river dredging and port construction. There are many operating parameters involved in the operation of dredgers, and these data are extremely critical to the efficient operation, precise control and operation effect evaluation of dredgers.

[0003] However, the existing dredging operation data acquisition and processing system still has the following deficiencies in practical application: The dredging efficiency analysis is often based on simple estimation, which cannot accurately determine the actual dredging efficiency of the dredger at different operating locations and in the entire operating area. There is also a lack of reasonable basis for regional division, and the operating area cannot be effectively classified according to the actual operating efficiency. In addition, it is difficult to dynamically adjust the excavation parameters according to the real-time situation during the operation. For example, when the reamer's operating speed changes abnormally, it is impossible to timely and accurately judge and adjust related parameters such as excavation depth, mud concentration and mud flow, resulting in inaccurate operation efficiency assessment.

[0004] To this end, a dredger operation data collection and processing system was launched. Summary of the invention

[0005] The purpose of the present invention is to solve the problems in the background technology and to propose a dredging ship operation data collection and processing system.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A dredging ship operation data acquisition and processing system comprises: Data collection module: including mining parameter collection unit and operation parameter collection unit; The excavation parameter acquisition unit is used to mark the coordinates of the current operating position of the dredger after each excavation action of the dredger is completed, and to collect and construct a data set including excavation depth, mud concentration, mud flow rate and dredging time at the current operating position; The operation parameter collection unit is used to collect the operating speed value of the reamer of the dredger in real time during each excavation action of the dredger; Data processing module: including mining efficiency analysis unit and operation adjustment unit; The dredging efficiency analysis unit is used to receive the data sets of the dredger at different operating positions and conduct a comprehensive evaluation. Based on the evaluation results, the regional efficiency index pmg of the dredger corresponding to the overall operating area is obtained. At the same time, different operating positions are divided into regions to obtain the high-efficiency sub-regions, normal sub-regions and low-efficiency sub-regions corresponding to the overall operating area. The operation adjustment unit is used to receive the reamer operation speed value of the dredger during the excavation process at different working positions and conduct a comprehensive evaluation, and adjust the excavation depth, mud concentration and mud flow rate at different working positions according to the evaluation results; Efficiency correction module: receives the adjusted dredging depth, mud concentration and mud flow of the dredger at different working positions, and feeds back the adjusted dredging depth, mud concentration and mud flow to the dredging efficiency analysis unit.

[0007] As a preferred embodiment of the present invention, data sets of dredgers at different operating positions are received and comprehensively evaluated, specifically: Extract the dredging depth, mud concentration, mud flow rate and dredging time corresponding to the dredger at different operating positions, and mark them as t1, t2, t3 and t4 respectively, and substitute the dredging depth t1, mud concentration t2, mud flow rate t3 and dredging time t4 corresponding to the dredger at different operating positions into the formula Calculate and obtain the dredging efficiency index E corresponding to the dredger at different operating positions; Mining volume for a preset theoretical value; The excavation efficiency index E corresponding to the dredger at different operating positions is associated with the corresponding operating position coordinates to form a data pair, namely (operating position coordinates, excavation efficiency index E).

[0008] As a preferred embodiment of the present invention, the regional efficiency index pmg of the dredger corresponding to the overall operating area is obtained based on the evaluation results, specifically: The excavation efficiency index E corresponding to the dredger at different operating positions is extracted and the average is calculated as the overall efficiency average index Q1 corresponding to the dredger; at the same time, the highest and lowest values ​​of the excavation efficiency index E corresponding to the dredger at different operating positions are extracted as the highest overall efficiency index Q2 and the lowest overall efficiency index Q3 corresponding to the dredger; According to the formula The overall efficiency average index Q1, the overall highest efficiency index Q2 and the overall lowest efficiency index Q3 corresponding to the dredger are weightedly calculated to obtain the regional efficiency index pmg of the overall operating area of ​​the dredger; is the preset reference minimum efficiency index; a1, a2 and a3 are the influencing weight factors of the overall efficiency average index Q1, the overall efficiency highest index Q2 and the overall efficiency lowest index Q3 respectively; The preset regional efficiency index pmg corresponds to the intervals of the three groups of indices, and each group of indices is set to correspond to a regional efficiency performance state; the regional efficiency performance state includes a state of efficiency lower than expected, a state of efficiency close to expected, and a state of efficiency higher than expected; the regional efficiency index pmg of the dredger corresponding to the overall operating area is matched with the preset three groups of indices, so as to determine the regional efficiency performance state of the dredger corresponding to the overall operating area.

[0009] As a preferred embodiment of the present invention, different working positions are divided into regions, specifically: The standard deviation formula is used to calculate the dredging efficiency index E corresponding to different operating positions of the dredger, and the calculation result is used as the division deviation value Q4; The dredging efficiency index E corresponding to the dredger in different operating positions is extracted and substituted into the comparison range (Q3-Q4, Q3+Q4) for comparison. The operating positions within the comparison range are divided into normal sub-areas; the operating positions above the comparison range (Q3+Q4) are divided into high-efficiency sub-areas, and the operating positions below the comparison range (Q3-Q4) are divided into low-efficiency sub-areas.

[0010] As a preferred embodiment of the present invention, the reamer operating speed values ​​of the dredger during the excavation process at different operating positions are received and a comprehensive evaluation is performed, specifically: The reamer speed values ​​at each time point during the dredging process of the dredger at different working positions are extracted and the average is calculated as the average reamer speed value during the dredger's excavation at different working positions. The normal range of the reamer speed value corresponding to the dredger is preset, and the average reamer speed value during the dredger's excavation at different working positions is compared with the preset normal range. If the reamer speed value at a certain working position is higher than the preset normal range, a mud concentration adjustment signal is generated; if the reamer speed value at a certain working position is lower than the preset normal range, a mud flow adjustment signal is generated.

[0011] As a preferred embodiment of the present invention, the excavation depth, mud concentration and mud flow rate at different working positions are adjusted according to the evaluation results, specifically: M1: If a mud concentration adjustment signal is generated at a certain operation position, the highest reamer speed value within the preset normal range is firstly extracted as the reference highest speed value; M2: Then extract the maximum speed value and the minimum speed value of the reamer speed value at each time point during the dredging process of the dredger at the corresponding working position as the reamer high speed value and the reamer low speed value during the dredger at the corresponding working position; M3: Mark the average reamer speed, high reamer speed and low reamer speed of the dredger at the corresponding working position as ra1, ra2 and ra3 respectively, and substitute them into the formula The weighted calculation is performed to obtain the mud concentration adjustment index ry of the dredger at the corresponding operating position; represents the reference maximum speed value, b1, b2 and b3 are the influence weight factors corresponding to the reamer average speed value ra1, the reamer high speed value ra2 and the reamer low speed value ra3 under the mud concentration adjustment signal respectively; Preset the intervals of each group of concentration indexes corresponding to the mud concentration adjustment index ry, and set each group of concentration index intervals to correspond to a concentration adjustment percentage; match the mud concentration adjustment index ry of the dredger at the corresponding operating position with the preset intervals of each group of concentration indexes, so as to obtain the concentration adjustment percentage p of the dredger at the corresponding operating position; Extract the mud concentration t2 collected by the dredger at the corresponding working position, and use the formula t2+(t2×p) to calculate the adjusted mud concentration of the dredger at the corresponding working position; M4: If a mud flow adjustment signal is generated at a certain working position, first extract the lowest reamer speed value within the preset normal range as the reference lowest speed value, and then obtain the reamer high speed value and reamer low speed value of the dredger during the excavation process at the corresponding working position in the same way as steps M2 and M3. Mark the reamer average speed value, reamer high speed value and reamer low speed value of the dredger during the excavation process at the corresponding working position as rb1, rb2 and rb3 respectively, and substitute them into the formula The weighted calculation is performed to obtain the mud flow adjustment index rk of the dredger at the corresponding operating position; represents the reference minimum speed value, b1, b2 and b3 are the influence weight factors of the reamer average speed value rb1, the reamer high speed value rb2 and the reamer low speed value rb3 under the mud flow adjustment signaling respectively; Preset the intervals of each group of flow indexes corresponding to the mud flow adjustment index rk, and set each group of flow index intervals to correspond to a flow adjustment percentage and a depth adjustment percentage; match the mud flow adjustment index rk of the dredger at the corresponding operating position with the preset intervals of each flow concentration index, so as to obtain the flow adjustment percentage v and the depth adjustment percentage z of the dredger at the corresponding operating position; The excavation depth t1 and mud flow t3 collected by the dredger at the corresponding working position are extracted, and the excavation depth and mud flow of the dredger after adjustment at the corresponding working position are calculated using the formulas t1+(t1×z) and t3+(t3×v) respectively.

[0012] As a preferred embodiment of the present invention, the adjusted excavation depth, mud concentration and mud flow rate are fed back to the excavation efficiency analysis unit, specifically: Extract the mining efficiency index E, regional efficiency index pmg and regional division results calculated at different working positions, and integrate them as the data package before adjustment; The adjusted excavation depth, mud concentration and mud flow rate of different working positions are replaced. After replacement, the excavation efficiency index of different working positions and the regional efficiency index of the dredger corresponding to the overall working area are recalculated. At the same time, the different working positions are re-divided into regions. The excavation efficiency index, regional efficiency index and regional division results of different working positions analyzed after adjustment are integrated as the adjusted data package.

[0013] Compared with the prior art, the present invention has the following beneficial effects: The present invention receives data sets of different working positions, extracts excavation depth, mud concentration, mud flow and dredging time parameters, substitutes them into the formula to calculate the excavation efficiency index, associates the working position coordinates to form a data pair, and then further calculates the overall efficiency average index, the highest index and the lowest index, and weightedly calculates the regional efficiency index, thereby realizing a comprehensive quantitative evaluation of the excavation efficiency from the local to the overall, solving the problem that the prior art can only perform simple efficiency estimation and cannot accurately grasp the overall and different regional efficiency conditions; The present invention divides the operation location into high-efficiency sub-areas, normal sub-areas and low-efficiency sub-areas according to the comparison range by calculating the division deviation value. This regional division method based on data statistical analysis clearly defines the boundaries and ranges of areas with different efficiency levels, making the operation area management more targeted; The present invention generates a mud concentration adjustment signal or a mud flow adjustment signal according to a comparison result between the reamer operating speed value and a preset normal range. When the speed is higher than the normal range, the mud concentration adjustment percentage is determined through a series of weighted calculations to adjust the mud concentration; when the speed is lower than the normal range, the flow adjustment percentage and the depth adjustment percentage are obtained through weighted calculations to adjust the mud flow and the excavation depth respectively, thereby solving the problem that the reamer speed cannot be monitored in real time and relevant excavation parameters cannot be scientifically adjusted according to its changes, resulting in the accuracy of the operation efficiency evaluation not being guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0015] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0016] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] See also Figure 1 As shown, the dredger operation data acquisition and processing system includes a data acquisition module, a data processing module, an efficiency correction module and a signaling processing module; The data acquisition module includes a mining parameter acquisition unit and an operation parameter acquisition unit; The excavation parameter acquisition unit is used to mark the coordinates of the current operating position of the dredger after each excavation action of the dredger is completed, and to collect and construct a data set including excavation depth, mud concentration, mud flow rate and dredging time of the current operating position; When the dredger is operating in the waters, the satellite positioning system receives signal data from multiple satellites every second, and the inertial navigation system collects the ship's motion information at a very high frequency (such as every millisecond). The satellite positioning data and the inertial navigation data are fused and processed through a specific fusion algorithm (such as the Kalman filter algorithm) to obtain accurate and stable operating position coordinates; Install a depth sensor near the dredging device (such as reamer) of the dredger. A pressure-type depth sensor can be used. Its working principle is based on the relationship between liquid pressure and depth. When the reamer penetrates into the mud at the bottom of the water, the pressure on the sensor increases with the depth. The excavation depth can be calculated by accurately measuring the pressure on the sensor and using the pre-calibrated pressure-depth conversion formula; The mud concentration sensor is installed in the mud conveying pipeline. The sensor based on the optical refraction principle can be used. It uses the change of the refraction angle of light in muds of different concentrations to measure the mud concentration. An electromagnetic flowmeter is installed on the mud pump outlet pipe as a mud flow sensor. The magnetic field strength of the magnetic flowmeter is precisely calibrated. When the mud flows through the pipe at a certain speed, the weak electrical signal generated on the electrode is amplified and processed by the acquisition unit. The mud flow is calculated based on the known pipe diameter and calibration coefficient. The timing starts from the moment the dredger starts working. After each excavation action is completed, the acquisition unit records the current time information as the dredging time, which is accurate to milliseconds. The operation parameter collection unit is used to collect the operating speed value of the reamer of the dredger in real time during each excavation action of the dredger; The data processing module includes a mining efficiency analysis unit and an operation adjustment unit; The dredging efficiency analysis unit is used to receive the data sets of the dredger at different operating positions and conduct a comprehensive evaluation. Based on the evaluation results, the regional efficiency index pmg of the dredger corresponding to the overall operating area is obtained. At the same time, different operating positions are divided into regions to obtain the high-efficiency sub-regions, normal sub-regions and low-efficiency sub-regions corresponding to the overall operating area. Specifically: Extract the dredging depth, mud concentration, mud flow rate and dredging time corresponding to the dredger at different operating positions, and mark them as t1, t2, t3 and t4 respectively, and substitute the dredging depth t1, mud concentration t2, mud flow rate t3 and dredging time t4 corresponding to the dredger at different operating positions into the formula Calculate and obtain the dredging efficiency index E corresponding to the dredger at different operating positions; The preset theoretical excavation volume; the theoretical excavation volume is preset according to the design parameters of the dredger and the estimated operating conditions; It should be noted that, taking a certain work location as an example, if the excavation depth is 5 meters, the mud concentration is 30%, the mud flow rate is 2 cubic meters / second, the dredging time is 30 seconds, and the preset theoretical excavation volume is 100 cubic meters / hour, then the excavation efficiency index of this work location is (5×30%×2×30) / 100=0.9.

[0018] The excavation efficiency index E corresponding to the dredger at different operating positions is associated with the corresponding operating position coordinates to form a data pair, i.e. (operating position coordinates, excavation efficiency index E); The excavation efficiency index E corresponding to the dredger at different operating positions is extracted and the average is calculated as the overall efficiency average index Q1 corresponding to the dredger; at the same time, the highest and lowest values ​​of the excavation efficiency index E corresponding to the dredger at different operating positions are extracted as the highest overall efficiency index Q2 and the lowest overall efficiency index Q3 corresponding to the dredger; According to the formula The overall efficiency average index Q1, the overall highest efficiency index Q2 and the overall lowest efficiency index Q3 corresponding to the dredger are weightedly calculated to obtain the regional efficiency index pmg of the overall operating area of ​​the dredger; is the preset reference minimum efficiency index; it is set by the technical staff according to the expectation; a1, a2 and a3 are the influencing weight factors of the overall efficiency average index Q1, the overall efficiency highest index Q2 and the overall efficiency lowest index Q3 respectively; The intervals of the three groups of indexes corresponding to the preset regional efficiency index pmg are set, and each group of index intervals is set to correspond to a regional efficiency performance state; the regional efficiency performance state includes a state of lower than expected efficiency, a state of close to expected efficiency, and a state of higher than expected efficiency; the higher the regional efficiency index pmg, the higher the possibility of matching a state of higher than expected efficiency; the regional efficiency index pmg of the dredger corresponding to the overall operating area is matched with the preset three groups of index intervals, so as to determine the regional efficiency performance state of the dredger corresponding to the overall operating area; It should be noted that by extracting the excavation efficiency index E of the dredger at various operating positions and associating it with the coordinates of the operating position, it is no longer limited to the efficiency judgment of a single position or a local area, but covers the actual excavation conditions at different locations in the entire operating area. In this way, the working performance of the dredger in the entire operating area can be fully understood, avoiding the one-sided efficiency evaluation conclusion due to focusing only on some areas. The regional efficiency index pmg is obtained by weighted calculation of Q1, Q2 and Q3 according to a specific formula. This index integrates multiple key efficiency indicators into a unified quantitative value, which can simply and intuitively represent the excavation efficiency of the entire operating area.

[0019] Different work locations are divided into areas, specifically: The standard deviation formula is used to calculate the dredging efficiency index E corresponding to different operating positions of the dredger, and the calculation result is used as the division deviation value Q4; The dredging efficiency index E corresponding to different operating positions of the dredger is extracted and substituted into the comparison range (Q3-Q4, Q3+Q4) for comparison. The operating positions within the comparison range are divided into normal sub-areas; the operating positions above the comparison range (Q3+Q4) are divided into high-efficiency sub-areas, and the operating positions below the comparison range (Q3-Q4) are divided into low-efficiency sub-areas; It should be noted that this method clearly defines the boundaries of areas with different efficiency levels and clarifies the mining efficiency range corresponding to each area, making the efficiency levels of different locations in the operating area clear at a glance, which helps to manage and analyze the operating area more accurately.

[0020] The operation adjustment unit is used to receive the reamer operation speed value of the dredger during the excavation process at different working positions and conduct a comprehensive evaluation, and adjust the excavation depth, mud concentration and mud flow rate at different working positions according to the evaluation results; Specifically: Extract the reamer speed value at each time point during the dredging process of the dredger at different working positions and calculate the average value as the reamer average speed value during the dredger's dredging process at different working positions, preset the normal range of the reamer speed value corresponding to the dredger, compare the reamer average speed value during the dredger's dredging process at different working positions with the preset normal range, if the reamer speed value at a certain working position is higher than the preset normal range, generate a mud concentration adjustment signal, if the reamer speed value at a certain working position is lower than the preset normal range, generate a mud flow adjustment signal; M1: If a mud concentration adjustment signal is generated at a certain operation position, the highest reamer speed value within the preset normal range is firstly extracted as the reference highest speed value; M2: Then extract the maximum speed value and the minimum speed value of the reamer speed value at each time point during the dredging process of the dredger at the corresponding working position as the reamer high speed value and the reamer low speed value during the dredger at the corresponding working position; M3: Mark the average reamer speed, high reamer speed and low reamer speed of the dredger at the corresponding working position as ra1, ra2 and ra3 respectively, and substitute them into the formula The weighted calculation is performed to obtain the mud concentration adjustment index ry of the dredger at the corresponding operating position; represents the reference maximum speed value, b1, b2 and b3 are the influence weight factors corresponding to the reamer average speed value ra1, the reamer high speed value ra2 and the reamer low speed value ra3 under the mud concentration adjustment signal respectively; Preset the intervals of each group of concentration indexes corresponding to the mud concentration adjustment index ry, and set each group of concentration index intervals to correspond to a concentration adjustment percentage; the higher the mud concentration adjustment index ry, the higher the corresponding matched concentration adjustment percentage; match the mud concentration adjustment index ry of the dredger at the corresponding operating position with the preset intervals of each group of concentration indexes, so as to obtain the concentration adjustment percentage p of the dredger at the corresponding operating position; Extract the mud concentration t2 collected by the dredger at the corresponding working position, and use the formula t2+(t2×p) to calculate the adjusted mud concentration of the dredger at the corresponding working position; It should be noted that too high a rotation speed will cause the mud and water to mix more thoroughly, resulting in a decrease in mud concentration.

[0021] M4: If a mud flow adjustment signal is generated at a certain working position, first extract the lowest reamer speed value within the preset normal range as the reference lowest speed value, and then obtain the reamer high speed value and reamer low speed value of the dredger during the excavation process at the corresponding working position in the same way as steps M2 and M3. Mark the reamer average speed value, reamer high speed value and reamer low speed value of the dredger during the excavation process at the corresponding working position as rb1, rb2 and rb3 respectively, and substitute them into the formula The weighted calculation is performed to obtain the mud flow adjustment index rk of the dredger at the corresponding operating position; represents the reference minimum speed value, b1, b2 and b3 are the influence weight factors of the reamer average speed value rb1, the reamer high speed value rb2 and the reamer low speed value rb3 under the mud flow adjustment signaling respectively; Preset the intervals of each group of flow indexes corresponding to the mud flow adjustment index rk, and set each group of flow index intervals to correspond to a flow adjustment percentage and a depth adjustment percentage; the higher the mud flow adjustment index rk, the higher the corresponding matched flow adjustment percentage and depth adjustment percentage; match the mud flow adjustment index rk of the dredger at the corresponding operating position with the preset intervals of each flow concentration index, so as to obtain the flow adjustment percentage v and depth adjustment percentage z of the dredger at the corresponding operating position; Extract the excavation depth t1 and mud flow t3 collected by the dredger at the corresponding working position, and use the formulas t1+(t1×z) and t3+(t3×v) to calculate the excavation depth and mud flow of the dredger after adjustment at the corresponding working position; It should be noted that when the reamer speed decreases, the number of times the reamer cuts the soil per unit time decreases, which directly leads to a decrease in the excavation depth. The reduction in speed will also reduce the efficiency of mud generation and transportation, resulting in a decrease in mud flow. The efficiency correction module is used to receive the adjusted excavation depth, mud concentration and mud flow rate of the dredger at different working positions, and feed back the adjusted excavation depth, mud concentration and mud flow rate to the excavation efficiency analysis unit; Specifically: Extract the mining efficiency index E, regional efficiency index pmg and regional division results calculated at different working positions, and integrate them as the data package before adjustment; The adjusted excavation depth, mud concentration and mud flow rate of different working positions are replaced, and the excavation efficiency index of different working positions and the regional efficiency index of the dredger corresponding to the overall working area are recalculated after replacement. At the same time, the different working positions are re-divided into regions, and the excavation efficiency index, regional efficiency index and regional division results of different working positions analyzed after adjustment are integrated as the adjusted data package; The signaling processing module is used to execute corresponding steps when generating a mud concentration adjustment signaling or a mud flow adjustment signaling; Specifically: G1: Extract the time point when the dredger reamer is put into use, and calculate the time difference between it and the time point when the mud concentration adjustment signal or mud flow adjustment signal is currently generated, so as to obtain the usage time of the dredger; G2: Extract the time point of the last maintenance of the dredger reamer from the maintenance log record, and calculate the time difference between it and the time point of the current generation of the mud concentration adjustment signal or the mud flow adjustment signal, so as to obtain the maintenance interval of the dredger; G3: Based on the preset conversion rules, the usage time and maintenance interval time of the dredger are converted into usage aging scores and maintenance hidden danger scores; that is, the preset usage time and maintenance interval time correspond to each group of time value ranges, and each group of time value ranges corresponding to the usage time are set to correspond to a group of usage aging scores, and each group of time value ranges corresponding to the maintenance interval time correspond to a group of maintenance hidden danger scores; The range of the usage aging score and maintenance potential risk score is set to 1-10 and is a positive integer. The longer the usage time and maintenance interval are, the higher the corresponding usage aging score and maintenance potential risk score will be. The weight coefficients corresponding to the usage aging score and the maintenance hidden danger score are set respectively, and the usage aging score and the maintenance hidden danger score corresponding to the dredger at the time point of generating the mud concentration adjustment signal or the mud flow adjustment signal are multiplied by the corresponding weight coefficients respectively, and then the sum is obtained to obtain the reamer usage index of the dredger at the time point of generating the mud concentration adjustment signal or the mud flow adjustment signal; A reference threshold index corresponding to the preset reamer usage index is set. If the reamer usage index corresponding to the dredger at the time when the mud concentration adjustment signal or the mud flow adjustment signal is currently generated is higher than the preset reference threshold index, a check signal is triggered to the maintenance personnel on the dredger. Otherwise, step G4 is executed. G4: Mark the time point at which the mud concentration adjustment signal or mud flow adjustment signal is currently generated as the starting point. If the mud concentration adjustment signal or mud flow adjustment signal is generated again after the starting point, the inspection signal is directly triggered to the maintenance personnel on the dredger; The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. Dredging operation data acquisition and processing system, characterized in that: include: Data collection module: including mining parameter collection unit and operation parameter collection unit; The excavation parameter acquisition unit is used to mark the coordinates of the current operating position of the dredger after each excavation action of the dredger is completed, and to collect and construct a data set including excavation depth, mud concentration, mud flow rate and dredging time of the current operating position; The operation parameter collection unit is used to collect the operating speed value of the reamer of the dredger in real time during each excavation action of the dredger; Data processing module: including mining efficiency analysis unit and operation adjustment unit; The dredging efficiency analysis unit is used to receive the data sets of the dredger at different operating positions and conduct a comprehensive evaluation. Based on the evaluation results, the regional efficiency index pmg of the dredger corresponding to the overall operating area is obtained. At the same time, different operating positions are divided into regions to obtain the high-efficiency sub-regions, normal sub-regions and low-efficiency sub-regions corresponding to the overall operating area. The operation adjustment unit is used to receive the reamer operation speed value of the dredger during the excavation process at different working positions and conduct a comprehensive evaluation, and adjust the excavation depth, mud concentration and mud flow rate at different working positions according to the evaluation results; Efficiency correction module: receives the adjusted dredging depth, mud concentration and mud flow of the dredger at different working positions, and feeds back the adjusted dredging depth, mud concentration and mud flow to the dredging efficiency analysis unit.

2. The dredging vessel operation data acquisition and processing system according to claim 1, characterized in that: Receive data sets from different dredger operating positions and conduct a comprehensive evaluation, specifically: Extract the dredging depth, mud concentration, mud flow rate and dredging time corresponding to the dredger at different operating positions, and mark them as t1, t2, t3 and t4 respectively, and substitute the dredging depth t1, mud concentration t2, mud flow rate t3 and dredging time t4 corresponding to the dredger at different operating positions into the formula Calculate and obtain the dredging efficiency index E corresponding to the dredger at different operating positions; Mining volume for a preset theoretical value; The excavation efficiency index E corresponding to the dredger at different operating positions is associated with the corresponding operating position coordinates to form a data pair, namely (operating position coordinates, excavation efficiency index E).

3. The dredging vessel operation data acquisition and processing system according to claim 2, characterized in that: Based on the evaluation results, the regional efficiency index pmg of the dredger corresponding to the overall operating area is obtained, specifically: The excavation efficiency index E corresponding to the dredger at different operating positions is extracted and the average is calculated as the overall efficiency average index Q1 corresponding to the dredger; at the same time, the highest and lowest values ​​of the excavation efficiency index E corresponding to the dredger at different operating positions are extracted as the highest overall efficiency index Q2 and the lowest overall efficiency index Q3 corresponding to the dredger; According to the formula The overall efficiency average index Q1, the overall highest efficiency index Q2 and the overall lowest efficiency index Q3 corresponding to the dredger are weightedly calculated to obtain the regional efficiency index pmg of the overall operating area of ​​the dredger; is the preset reference minimum efficiency index; a1, a2 and a3 are the influencing weight factors of the overall efficiency average index Q1, the overall efficiency highest index Q2 and the overall efficiency lowest index Q3 respectively; The preset regional efficiency index pmg corresponds to the intervals of the three groups of indices, and each group of indices is set to correspond to a regional efficiency performance state; the regional efficiency performance state includes a state of efficiency lower than expected, a state of efficiency close to expected, and a state of efficiency higher than expected; the regional efficiency index pmg of the dredger corresponding to the overall operating area is matched with the preset three groups of indices, so as to determine the regional efficiency performance state of the dredger corresponding to the overall operating area.

4. The dredging vessel operation data acquisition and processing system according to claim 3 is characterized in that: Different work locations are divided into areas, specifically: The standard deviation formula is used to calculate the dredging efficiency index E corresponding to different operating positions of the dredger, and the calculation result is used as the division deviation value Q4; The dredging efficiency index E corresponding to the dredger in different operating positions is extracted and substituted into the comparison range (Q3-Q4, Q3+Q4) for comparison. The operating positions within the comparison range are divided into normal sub-areas; the operating positions above the comparison range (Q3+Q4) are divided into high-efficiency sub-areas, and the operating positions below the comparison range (Q3-Q4) are divided into low-efficiency sub-areas.

5. The dredging vessel operation data acquisition and processing system according to claim 4, characterized in that: Receive the reamer speed values ​​of the dredger during excavation at different working positions and conduct a comprehensive evaluation, specifically: The reamer speed values ​​at each time point during the dredging process of the dredger at different working positions are extracted and the average is calculated as the average reamer speed value during the dredger's excavation at different working positions. The normal range of the reamer speed value corresponding to the dredger is preset, and the average reamer speed value during the dredger's excavation at different working positions is compared with the preset normal range. If the reamer speed value at a certain working position is higher than the preset normal range, a mud concentration adjustment signal is generated; if the reamer speed value at a certain working position is lower than the preset normal range, a mud flow adjustment signal is generated.

6. The dredging vessel operation data acquisition and processing system according to claim 5, characterized in that: According to the evaluation results, the excavation depth, mud concentration and mud flow rate at different working locations are adjusted, specifically: M1: If a mud concentration adjustment signal is generated at a certain operation position, the highest reamer speed value within the preset normal range is firstly extracted as the reference highest speed value; M2: Then extract the maximum speed value and the minimum speed value of the reamer speed value at each time point during the dredging process of the dredger at the corresponding working position as the reamer high speed value and the reamer low speed value during the dredger at the corresponding working position; M3: Mark the average reamer speed, high reamer speed and low reamer speed of the dredger at the corresponding working position as ra1, ra2 and ra3 respectively, and substitute them into the formula The weighted calculation is performed to obtain the mud concentration adjustment index ry of the dredger at the corresponding operating position; represents the reference maximum speed value, b1, b2 and b3 are the influence weight factors corresponding to the reamer average speed value ra1, the reamer high speed value ra2 and the reamer low speed value ra3 under the mud concentration adjustment signal respectively; Preset the intervals of each group of concentration indexes corresponding to the mud concentration adjustment index ry, and set each group of concentration index intervals to correspond to a concentration adjustment percentage; match the mud concentration adjustment index ry of the dredger at the corresponding operating position with the preset intervals of each group of concentration indexes, so as to obtain the concentration adjustment percentage p of the dredger at the corresponding operating position; Extract the mud concentration t2 collected by the dredger at the corresponding working position, and use the formula t2+(t2×p) to calculate the adjusted mud concentration of the dredger at the corresponding working position; M4: If a mud flow adjustment signal is generated at a certain working position, first extract the lowest reamer speed value within the preset normal range as the reference lowest speed value, and then obtain the reamer high speed value and reamer low speed value of the dredger during the excavation process at the corresponding working position in the same way as steps M2 and M3. Mark the reamer average speed value, reamer high speed value and reamer low speed value of the dredger during the excavation process at the corresponding working position as rb1, rb2 and rb3 respectively, and substitute them into the formula The weighted calculation is performed to obtain the mud flow adjustment index rk of the dredger at the corresponding operating position; represents the reference minimum speed value, b1, b2 and b3 are the influence weight factors of the reamer average speed value rb1, the reamer high speed value rb2 and the reamer low speed value rb3 under the mud flow adjustment signaling respectively; Preset the intervals of each group of flow indexes corresponding to the mud flow adjustment index rk, and set each group of flow index intervals to correspond to a flow adjustment percentage and a depth adjustment percentage; match the mud flow adjustment index rk of the dredger at the corresponding operating position with the preset intervals of each flow concentration index, so as to obtain the flow adjustment percentage v and the depth adjustment percentage z of the dredger at the corresponding operating position; The excavation depth t1 and mud flow t3 collected by the dredger at the corresponding working position are extracted, and the excavation depth and mud flow of the dredger after adjustment at the corresponding working position are calculated using the formulas t1+(t1×z) and t3+(t3×v) respectively.

7. The dredging vessel operation data acquisition and processing system according to claim 6, characterized in that: The adjusted excavation depth, mud concentration and mud flow are fed back to the excavation efficiency analysis unit, specifically: Extract the mining efficiency index E, regional efficiency index pmg and regional division results calculated at different working positions, and integrate them as the data package before adjustment; The adjusted excavation depth, mud concentration and mud flow rate of different working positions are replaced. After replacement, the excavation efficiency index of different working positions and the regional efficiency index of the dredger corresponding to the overall working area are recalculated. At the same time, the different working positions are re-divided into regions. The excavation efficiency index, regional efficiency index and regional division results of different working positions analyzed after adjustment are integrated as the adjusted data package.

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