Water conservancy river channel construction operation management system and method based on data analysis

Abstract

The invention discloses a water conservancy river channel construction operation management system and method based on data analysis, relates to the technical field of data analysis, and carries out water area navigation operation risk assessment of each operation area based on water area state data and sediment state data of each operation area. Evaluating the aging degree of each suction dredger based on the historical operation efficiency data of each suction dredger; according to the water area navigation operation risk evaluation result of each operation area and the aging degree evaluation result of each suction dredger, obtaining the distribution result of each operation area corresponding to each suction dredger, and performing construction operation according to the distribution result of each operation area corresponding to each suction dredger; the suction dredger with high aging degree is dispatched to a low-risk operation area for operation, so that the accident risk can be reduced, the operation safety is guaranteed, the service life of water area operation equipment is prolonged, the operation efficiency of the water area operation equipment is optimized, the resource utilization rate is improved, and the maintenance cost of the water area operation equipment is reduced.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of data analysis, and specifically relates to a water conservancy river channel construction operation management system and method based on data analysis. BACKGROUND

[0002] As the core equipment of dredging engineering, the trailing suction dredger works by sucking in the mud through the rake head placed on the two sides or the tail of the ship body, in the mode of sucking mud while sailing, and the ship body is provided with an open-bottom mud tank, and the tank volume directly reflects the ship operation capacity. Due to the special operation requirements, the ship body structure of this type of engineering ship is significantly different from that of the conventional ship, for example, large slots need to be arranged at the bow and stern to install bridge and trolley equipment. With the rapid development of the shipping industry, the dredging equipment technology continues to upgrade, and the role of the suction dredger in the field of waterway maintenance and port construction is increasingly prominent. In the current dredging operation, ship scheduling and operation allocation mainly rely on human experience, and lack of systematic evaluation basis. The traditional production operation allocation usually takes delivery period as the core, and preferentially arranges urgent tasks or projects with large workloads, but does not fully consider the matching of the operation water area environmental characteristics and the actual state of the ship. For example, the water state (such as flow rate, tide) and the bottom state (such as hardness, sand content) of different operation areas directly affect the sailing safety and dredging efficiency, and the aging degree of the ship relates to the equipment reliability and operation stability. The existing technology is difficult to comprehensively evaluate the adaptability of water risk and ship performance, resulting in blindness in operation allocation: on the one hand, old ships may be sent to high-difficulty water areas, aggravating equipment wear and even causing safety accidents; on the other hand, high-performance ships operating in low-risk areas cause resource waste. Although there are studies on risk assessment models for ship sailing safety, covering multi-dimensional factors such as mechanical failure and environmental interference, these methods are still limited to single-dimensional analysis, and do not form a closed loop of water risk, ship aging degree and operation allocation decision. Therefore, an intelligent allocation method is needed to integrate water environment data, bottom characteristics and historical operation efficiency of the ship, to quantitatively evaluate the operation risk and the state of the ship, and to realize the optimal allocation of dredging resources, so as to improve the operation safety, efficiency and equipment service life. In order to solve the problems proposed in the background technology, the present application designs a water conservancy river channel construction operation management system and method based on data analysis. SUMMARY

[0003] In view of the above technical deficiencies, the present application proposes a water conservancy river channel construction operation management system and method based on data analysis.

[0004] To solve the above technical problems, the present application adopts the following technical solution: the present application provides a water conservancy river channel construction operation management method based on data analysis, which includes the following specific steps: S1, obtaining water area state data, bottom state data and historical operation efficiency data of each suction dredger in each operation area; S2, performing water area navigation operation risk assessment in each operation area based on the water area state data and the bottom state data in each operation area; S3, performing aging degree assessment of each suction dredger based on the historical operation efficiency data of each suction dredger; S4, obtaining the distribution result of each suction dredger in each operation area according to the water area navigation operation risk assessment result and the aging degree assessment result of each suction dredger, and performing construction operation according to the distribution result of each suction dredger in each operation area.

[0005] It should be noted that, as the preferred technical solution of the water conservancy river construction operation management method based on data analysis, the specific steps of S1 are: S11, obtaining water area state data in each operation area by sonar detection, wherein the water area state data in each operation area includes navigable water area depth data and obstacle density data in each operation area; S12, obtaining bottom state data in each operation area by density meter and laser particle size analyzer, wherein the bottom state data in each operation area includes bottom mud density data and bottom particle size data in each operation area; S13, obtaining historical operation efficiency data of each suction dredger by database; S14, storing the collected data in a storage component for use in the analysis process.

[0006] It should be noted that, as the preferred technical solution of the water conservancy river construction operation management method based on data analysis, S2 includes the following specific steps: S21, obtaining water area operation risk assessment value in each operation area from bottom mud density data and bottom particle size data in each operation area; S22, obtaining water area operation risk assessment result in each operation area, and obtaining water area operation risk assessment value in each operation area from the water area operation risk assessment result in each operation area; S23, presetting each unit area in each operation area, and obtaining water area navigation operation risk assessment value in each operation area from water area operation risk assessment value in each operation area, navigable water area depth data and obstacle density data in each operation area.

[0007] It should be noted that, as the preferred technical solution of the water conservancy river construction operation management method based on data analysis, the specific steps of S21 are: performing water area operation risk assessment in each operation area based on bottom mud density data and bottom particle size data in each operation area, wherein the calculation formula of the i-th operation area water area operation risk assessment is: wherein, The bottom mud slurry density data in the ith operation area, The clear water density data, The mud specific gravity reference value, The value greater than 90% of the bottom particle size in the ith operation area, The value greater than 50% of the bottom particle size in the ith operation area, The reference particle size fluctuation value, The bottom mud slurry density proportion weight, The bottom particle size proportion weight, it should be noted that, And The setting purpose of is to reflect the mud specific gravity of each operation area through the difference between the bottom mud slurry density and the clear water density, and the mud specific gravity will affect the stability during the dredger operation; The setting purpose of is to quantify the mud sedimentation trend; And The setting purpose of and is to consider the influence of the bottom particle size on the dredger operation construction risk, to evaluate the size distribution of the bottom particles through the values of 90% of the bottom particle size and 50% of the bottom particle size, and large particles will increase the difficulty of dredger operation construction, and small particles will affect the mud properties; The setting purpose of is to measure the influence degree of the particle size fluctuation on the water area operation risk assessment value; And The setting purpose of and is to dynamically adjust the influence degree of the bottom mud slurry density and the bottom particle size in the water area operation risk assessment value, to ensure that the water area operation risk assessment value result is more comprehensive and accurate; The setting purpose of is to reflect the density difference between the mud and the water, and the greater the difference, the stronger the sedimentation trend; The setting purpose of is to reflect the mud specific gravity of each operation area, The greater the value, the stronger the mud sedimentation trend; The setting purpose of is to quantify the sedimentation trend of the mud through the ratio of And The setting purpose of is to quantify the sedimentation trend of the mud through the ratio of The setting purpose of is to reflect the sedimentation of the bottom mud slurry during the dredger operation through the evaluation of the size distribution of the bottom particles through the values of 90% of the bottom particle size and 50% of the bottom particle size, and the larger the particle size, the faster the sedimentation speed; The setting purpose of is to quantify the sedimentation of the bottom mud slurry during the dredger operation.

[0008] It should be noted that, as the preferred technical solution of the water conservancy river channel construction operation management method based on data analysis, the specific steps of S23 are: based on the water area operation risk assessment value of each operation area, the navigable water area depth data and the obstacle density data in each operation area, the water area navigation operation risk assessment of each operation area is carried out, wherein the water area navigation operation risk assessment calculation formula of the i-th operation area is: Wherein, i is the corresponding number of each operation area, i is any one of 1 to N, r is the corresponding number of each unit area, r is any one of 1 to A, is the water area operation risk assessment value of the i-th operation area, is the maximum value of the depth of the r-th unit area in the i-th operation area, is the minimum value of the depth of the r-th unit area in the i-th operation area, is the reference depth fluctuation value, a is the operation area depth influence proportion weight, is the obstacle density data of the i-th operation area, Z is the set safety density, it should be noted that in this formula and The purpose of setting is to measure the difference between the maximum and minimum values of the depth of each unit area in each operation area, so as to reflect the fluctuation of the depth of each operation area. Larger water depth difference will increase the operation risk, and too shallow minimum water depth or too deep maximum water depth may cause suction dredger to run aground or be unstable; The purpose of setting is to compare the depth difference degree of different operation areas; a is set to adjust the relative importance of depth factor in the overall evaluation; The purpose of setting is to measure the operation difficulty and efficiency by the density of obstacles in each operation area; the purpose of setting Z is to measure the operation difficulty and efficiency of each operation area by the safety density of obstacles; in this formula Part of it is to reflect the fluctuation of the depth of each operation area by summing up the difference between the maximum and minimum values of the depth of each unit area in each operation area and then averaging; Part of it is to reflect the operation and navigation interaction of suction dredger in each operation area by multiplying the water area operation risk assessment value of each operation area with the fluctuation of the depth of each operation area.

[0009] It should be noted that, as the preferred technical solution of the water conservancy river channel construction operation management method based on data analysis, the specific steps of S3 are: based on the historical operation efficiency data of each suction dredger, the aging degree of each suction dredger is evaluated, wherein the aging degree evaluation calculation formula of the j-th suction dredger is: Wherein, j is the corresponding number of each suction dredger, j is any one of 1 to M, k is the number of each historical running time period, k is any one of 1 to q, is a time decay weight, is the operation efficiency corresponding to the jth suction dredger in the kth historical operation time period, is the operation efficiency corresponding to the jth suction dredger in the k-1th historical operation time period, is an efficiency fluctuation reference value, and it should be noted that in the formula The purpose of the setting is to control the influence of the suction dredger operation efficiency fluctuation data in different historical operation time periods on the suction dredger aging degree evaluation value. The more recent the historical operation time period is, the greater the value is; The absolute value of the operation efficiency of the suction dredger in the adjacent time period is calculated to capture the degree of change of the operation efficiency of the suction dredger in the adjacent time period, and the influence of the dimension of the absolute efficiency value is avoided. By setting the weight and weighted summation, the contribution of the recent operation efficiency change to the suction dredger aging degree evaluation value is strengthened. The purpose of the setting is to quantify the dynamic change of the operation efficiency of the suction dredger. The purpose of the formula is to evaluate the dynamic change of the efficiency of a single device through the dynamic change of the operation efficiency of the suction dredger.

[0010] It should be noted that as the preferred technical solution of the waterway construction operation management method based on data analysis, the specific steps of S4 are: obtaining the water navigation operation risk assessment results of each operation area and the aging degree evaluation results of each suction dredger, arranging the water navigation operation risk assessment values of each operation area in ascending order, and arranging the aging degree evaluation values of each suction dredger in descending order, and the corresponding each suction dredger and each operation area corresponding to the arrangement results of the aging degree evaluation values of each suction dredger and the arrangement results of the water navigation operation risk assessment values of each operation area are one-to-one corresponding, in this way, the allocation results of each operation area corresponding to each suction dredger are obtained, and the construction operation is carried out according to the allocation results of each operation area corresponding to each suction dredger, and it should be noted that sending the suction dredger with high aging degree to the low-risk operation area for operation can reduce the risk of accidents and ensure the safety of operation. The suction dredger with high aging degree is prone to failure in high-risk operation areas, and can reduce the overload operation of equipment in low-risk areas to avoid overturning or collision accidents caused by mechanical failure.

[0011] The waterway construction operation management system based on data analysis is realized based on the above-mentioned waterway construction operation management method based on data analysis, and specifically includes an operation data acquisition module, an operation area risk assessment module, an equipment aging degree evaluation module, and an operation area result allocation module. The operation data acquisition module is used to acquire water area state data, bottom state data of each operation area, and historical operation efficiency data of each suction dredger; The work area risk assessment module is used for assessing the water area navigation work risk of each work area based on the water area state data and the bottom state data of each work area. The equipment aging degree assessment module is used for assessing the aging degree of each suction dredger based on the historical work efficiency data of each suction dredger. The work area result distribution module is used for obtaining the distribution result of each suction dredger in each work area according to the water area navigation work risk assessment result and the aging degree assessment result of each suction dredger, and performing the construction work according to the distribution result of each suction dredger in each work area.

[0012] An electronic device comprises a processor and a memory, wherein the memory stores a computer program that can be invoked by the processor. The processor executes the water conservancy river channel construction work management method based on data analysis by invoking the computer program stored in the memory.

[0013] A computer readable storage medium stores instructions, which, when executed on a computer, cause the computer to execute the water conservancy river channel construction work management method based on data analysis.

[0014] Compared with the prior art, the beneficial effects of the present application are that the present application obtains water area state data, bottom state data and historical work efficiency data of each suction dredger; assesses the water area navigation work risk of each work area based on the water area state data and the bottom state data of each work area; assesses the aging degree of each suction dredger based on the historical work efficiency data of each suction dredger; obtains the distribution result of each suction dredger in each work area according to the water area navigation work risk assessment result and the aging degree assessment result of each suction dredger, and performs the construction work according to the distribution result of each suction dredger in each work area; and the suction dredger with high aging degree is sent to the low-risk work area for work, which can reduce the accident risk, ensure the work safety, prolong the service life of the water area work equipment, optimize the work efficiency of the water area work equipment, improve the resource utilization rate and reduce the maintenance cost of the water area work equipment. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 It is a whole flowchart of the water conservancy river channel construction work management method based on data analysis of the present application.

[0016] Figure 2 It is a flowchart of step S2 of the water conservancy river channel construction work management method based on data analysis of the present application.

[0017] Figure 3 It is a whole framework diagram of the water conservancy river channel construction work management system based on data analysis of the present application.

[0018] Figure 4 FIG. 1 is a schematic diagram of a water area navigation operation risk assessment value acquisition process of a water conservancy river channel construction operation management method based on data analysis according to the present application. DETAILED DESCRIPTION

[0019] For a better understanding of the present application, various aspects of the present application will be described in more detail with reference to the accompanying drawings.

[0020] To solve the technical problems proposed in the background art, the present application provides a preferred embodiment: The specific content of the embodiment is: As shown in Figure 1 The water conservancy river channel construction operation management method based on data analysis includes the following specific steps: S1, acquiring water area state data, bottom state data of each operation area, and historical operation efficiency data of each suction dredger; In the embodiment, the specific steps of S1 are: S11, acquiring water area state data of each operation area by sonar detection, wherein the water area state data of each operation area includes navigable water depth data and obstacle density data in each operation area; S12, acquiring bottom state data of each operation area by density meter and laser particle size analyzer, wherein the bottom state data of each operation area includes bottom mud density data and bottom particle size data in each operation area; S13, acquiring historical operation efficiency data of each suction dredger by database; S14, storing the collected data in a storage component for use in the analysis process.

[0021] In one implementation manner of the present application, the water area state data of each operation area is acquired by sonar detection, wherein the water area state data of each operation area includes navigable water depth data and obstacle density data in each operation area, which is used to analyze the navigation difficulty of the suction dredger in each operation area; the bottom state data of each operation area is acquired by density meter and laser particle size analyzer, wherein the bottom state data of each operation area includes bottom mud density data and bottom particle size data in each operation area, which is used to analyze the settlement of the bottom mud during the operation of the suction dredger; the historical operation efficiency data of each suction dredger is acquired by database, which is used to analyze the aging degree of the suction dredger.

[0022] S2, performing water area navigation operation risk assessment of each operation area based on the water area state data and the bottom state data of each operation area; As shown in Figure 2 In the embodiment, S2 includes the following specific steps: S21, obtaining water area operation risk assessment values of each operation area from the bottom mud density data and the bottom particle size data in each operation area; In this embodiment, S21 includes the following specific steps: performing a risk assessment of water operations in each operation area based on the bottom mud density data and bottom sediment particle size data in each operation area, wherein the calculation formula for the risk assessment of water operations in the i-th operation area is: ,in, is the density data of the bottom mud in the i-th operating area, is the density data of clean water, is the reference value of mud density, is the value that 90% of the sediment particle size values ​​in the i-th operation area are greater than, is the value that 50% of the sediment particle size values ​​in the i-th operating area are greater than, is the reference particle size fluctuation value, is the weight of the density of the bottom mud, is the weight of sediment particle size. It should be noted that and The purpose of setting is to reflect the mud density in each operating area through the difference between the density of bottom mud and the density of clean water. The mud density will affect the stability of the suction dredger during operation. The purpose of setting is to: quantify the mud settlement trend; and The purpose of this setting is to consider the impact of sediment particle size on the risk of suction dredger operation. The size distribution of sediment particles is evaluated using the values ​​of the 90th and 50th percentile sediment particle sizes. Large particles increase the difficulty of suction dredger operation, while small particles affect the mud properties. The purpose of setting is to measure the impact of particle size fluctuation on the risk assessment value of water operations; and The purpose of setting is to dynamically adjust the influence of bottom mud density and bottom sediment particle size on the risk assessment value of water operations, so as to ensure that the risk assessment value results of water operations are more comprehensive and accurate; The purpose of setting is to reflect the density difference between mud and water. The larger the difference, the stronger the settlement tendency. The purpose of setting is to reflect the mud density of each operating area. The larger the value, the stronger the mud settling tendency; The purpose of setting is: and The ratio quantifies the sedimentation tendency of the mud; The purpose of this setting is to evaluate the size distribution of sediment particles by using the values ​​of the 90th and 50th percentile sediment particle sizes to reflect the sediment settling of sediment slurry during dredger operation. The larger the particle size, the faster the sedimentation rate. The purpose of setting it up is to quantify the sedimentation of bottom mud during dredger operation; illustratively, the benefits and basis of setting up this formula are explained as follows: mud density is directly related to the risk of mud sedimentation. When the mud density is large, the mud is easy to settle, resulting in pipe blockage and mud pump overload; combining the 90% and 50% bottom sediment particle size values ​​and the reference particle size fluctuation value, consider the impact of particle size distribution on the risk assessment value of water area operations; setting the bottom mud density ratio weight and the bottom sediment particle size ratio weight can ensure the rationality and accuracy of the assessment results.

[0023] S22. Obtaining the risk assessment results of the water operations in each operation area, and obtaining the risk assessment value of the water operations in each operation area from the risk assessment results of the water operations in each operation area; S23, such as Figure 4 As shown, each unit area is preset in each operation area, and the navigation operation risk assessment value of each operation area water area is obtained according to the operation risk assessment value of each operation area water area, the navigable water depth data and the obstacle density data of each operation area; In this embodiment, S23 includes the following specific steps: performing a navigation operation risk assessment in each operating area based on the water operation risk assessment value of each operating area, the navigable water depth data and the obstacle density data in each operating area, wherein the navigation operation risk assessment calculation formula for the i-th operating area water area is: , where i is the number corresponding to each operating area, i is any item from 1 to N, r is the number corresponding to each unit area, r is any item from 1 to A, is the risk assessment value of water operations in the i-th operation area, is the maximum depth of the rth unit area in the i-th operating area, is the minimum depth value in the rth unit area of ​​the i-th operating area, is the reference depth fluctuation value, a is the weight of the depth impact ratio of the operating area, is the obstacle density data of the i-th operation area, Z is the set safety density, it should be noted that in this formula and The purpose of setting it is to measure the difference between the maximum and minimum depths per unit area in each operating area, so as to reflect the fluctuation of the depth in each operating area. Larger differences in water depth will increase the risk of operation. If the minimum water depth is too shallow or the maximum water depth is too deep, it may cause the suction dredger to run aground or become unstable. The purpose of setting is to compare the depth differences in different working areas; the purpose of setting a is to adjust the relative importance of the depth factor in the overall assessment; The purpose of setting is to measure the difficulty and efficiency of the operation by the density of obstacles in each operation area; the purpose of setting Z is to measure the difficulty and efficiency of the operation in each operation area by the safety density of obstacles; in this formula partly by summing and averaging the difference between the maximum and minimum depths of each unit area in each work area to reflect the fluctuation of the depth of each work area; partly by multiplying the water area work risk assessment value of each work area with the fluctuation of the depth of each work area to reflect the mutual influence of work and navigation of the suction dredger in each work area; for example, the benefits and basis of setting this formula are illustrated: this formula calculates the difference between the maximum and minimum depths of each unit area in each work area, sums and averages the difference between the maximum and minimum depths of each work area, quantifies the navigation difficulty of the suction dredger in each work area by comparing the difference between the maximum and minimum depths of each work area with the reference depth fluctuation value, and multiplies the water area work risk assessment value of each work area to obtain the navigation and work difficulty of each water area, thereby improving the pertinence and accuracy of the water area navigation and work risk assessment value.

[0024] S3, based on historical work efficiency data of each suction dredger, aging degree assessment of each suction dredger is performed; In this embodiment, the specific steps of S3 are: based on historical work efficiency data of each suction dredger, aging degree assessment of each suction dredger is performed, wherein the aging degree assessment calculation formula of the jth suction dredger is: wherein j is the number corresponding to each suction dredger, j is any one of 1 to M, k is the number of each historical running time period, k is any one of 1 to q, is the time decay weight, is the work efficiency corresponding to the jth suction dredger in the kth historical running time period, is the work efficiency corresponding to the jth suction dredger in the k-1th historical running time period, is the efficiency fluctuation reference value, it should be noted that in this formula The purpose of setting is to control the influence of suction dredger work efficiency fluctuation data in different historical running time periods on the aging degree assessment value of the suction dredger, and the more recent the historical running time period is greater; The absolute value of the difference between the work efficiencies of the suction dredger in adjacent time periods is calculated to capture the degree of change in the work efficiency of the suction dredger in adjacent time periods, and to avoid the influence of the dimension of the absolute efficiency value; By setting the weight and weighted sum, the contribution of the recent work efficiency change to the aging degree assessment value of the suction dredger is strengthened; The purpose of setting is to quantify the dynamic changes of the work efficiency of the suction dredger, and the purpose of setting this formula is to quantify the dynamic changes of the efficiency of a single device by the dynamic changes of the work efficiency of the suction dredger; for example, the benefits and basis of setting this formula are illustrated: by introducing the time decay weight Reflecting the change of dredging ship operation efficiency with time, making aging assessment more close to the actual situation; using efficiency fluctuation reference value Controlling the difference of operation efficiency in different historical periods, ensuring the accuracy and comparability of the assessment results; comprehensively assessing the operation efficiency change of the dredging ship in different historical periods, so as to fully reflect the aging degree of the dredging ship.

[0025] S4, according to the operation risk assessment results of each operation area water area and the aging degree assessment results of each dredging ship, obtaining the corresponding operation area allocation results of each dredging ship, and performing construction operation according to the corresponding operation area allocation results of each dredging ship.

[0026] In this embodiment, the specific steps of S4 are: obtaining the operation risk assessment results of each operation area water area and the aging degree assessment results of each dredging ship, arranging the operation risk assessment values of each operation area water area in ascending order, and arranging the aging degree assessment values of each dredging ship in descending order, and corresponding each dredging ship to the operation area water area corresponding to the operation risk assessment value of each operation area water area arranged in ascending order, in this way, the corresponding operation area allocation results of each dredging ship are obtained, and the construction operation is performed according to the corresponding operation area allocation results of each dredging ship. It should be noted that sending the dredging ship with high aging degree to the low-risk operation area for operation can reduce the risk of accidents and ensure the safety of operation. The dredging ship with high aging degree is prone to failure in high-risk operation area due to equipment aging, which can reduce the overload operation of equipment in low-risk area and avoid overturning or collision accidents caused by mechanical failure.

[0027] It should be noted that the setting parameters (such as weight and threshold value) in this embodiment need to be set by the person skilled in the art according to the relevant experiment, and the specific experimental method is: obtaining the water area state data, bottom state data and historical operation efficiency data of each dredging ship, and inputting the data into each step of this embodiment to perform operation risk assessment of each operation area water area and aging degree assessment of each dredging ship, obtaining the operation area allocation results obtained by the operation risk assessment of each operation area water area and the aging degree assessment of each dredging ship, importing the operation area allocation results into the fitting software for continuous fitting, and outputting the setting parameters (such as weight and threshold value) of the operation area allocation results consistent with the actual operation running results.

[0028] According to the above implementation, the embodiment has the following advantages over the prior art: the embodiment obtains water area state data, bottom state data of each work area, and historical work efficiency data of each suction dredger; the water area navigation work risk of each work area is evaluated based on the water area state data and the bottom state data of each work area; the aging degree of each suction dredger is evaluated based on the historical work efficiency data of each suction dredger; the allocation result of each work area corresponding to each suction dredger is obtained according to the evaluation results of the water area navigation work risk of each work area and the aging degree of each suction dredger, and construction work is carried out according to the allocation result of each work area corresponding to each suction dredger; sending a suction dredger with high aging degree to a low-risk work area for work can reduce the risk of accidents, ensure work safety, prolong the service life of water area work equipment, optimize the work efficiency of water area work equipment, improve resource utilization, and reduce the maintenance cost of water area work equipment.

[0029] As shown in Figure 3 The embodiment also provides a water conservancy river construction work management system based on data analysis, which is implemented based on the above-mentioned water conservancy river construction work management method based on data analysis, and specifically includes a work data acquisition module, a work area risk assessment module, a device aging degree assessment module, and a work area result allocation module. The work data acquisition module is used to obtain water area state data, bottom state data of each work area, and historical work efficiency data of each suction dredger. The work area risk assessment module is used to evaluate the water area navigation work risk of each work area based on the water area state data and the bottom state data of each work area. The device aging degree assessment module is used to evaluate the aging degree of each suction dredger based on the historical work efficiency data of each suction dredger. The work area result allocation module is used to obtain the allocation result of each work area corresponding to each suction dredger according to the evaluation results of the water area navigation work risk of each work area and the aging degree of each suction dredger, and to carry out construction work according to the allocation result of each work area corresponding to each suction dredger.

[0030] The specific steps of implementing the functions of each unit module in the water conservancy river construction work management system based on data analysis of the present application can refer to the steps in the above-mentioned embodiments of the water conservancy river construction work management method based on data analysis, which will not be repeated here.

[0031] The embodiment also provides an electronic device, which includes a processor and a memory, wherein the memory stores a computer program that can be called by the processor. The processor executes the above-mentioned water conservancy river construction work management method based on data analysis by calling the computer program stored in the memory.

[0032] The memory can be used to store instructions, programs, codes, code sets or instruction sets. The memory 310 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the water conservancy river construction operation management method based on data analysis provided by the above embodiments, etc.; and the data storage area can store data involved in the water conservancy river construction operation management method based on data analysis provided by the above embodiments, etc.

[0033] The processor can include one or more processing cores. The processor invokes data stored in the memory by running or executing instructions, programs, code sets or instruction sets stored in the memory, performs various functions and processes data of the present application. The processor can be at least one of an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller and a microprocessor. It can be understood that for different devices, the electronic devices used to implement the functions of the above processor can also be other, and the embodiments of the present application do not make specific limitations.

[0034] A communication bus can also be included, which can include a path for transmitting information between the above components. The communication bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0035] The present embodiment also proposes a computer readable storage medium storing instructions, when the instructions run on a computer, the computer executes the above water conservancy river construction operation management method based on data analysis.

[0036] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only optical disc, a magnetic tape, a floppy disk and an optical data storage device, etc.

[0037] The above-described embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented by software, the above-described embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present application are wholly or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable apparatus. The computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server, data center, or the like, which includes one or more available medium collections. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state disk.

[0038] The terms "comprise", "contain", or any other variant thereof are intended to cover a non-exclusive inclusion, so that a process, method, article, or apparatus that includes a list of elements not only includes those elements, but also includes other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0039] The above description is merely preferred embodiments of the present application and a description of the principles of the technology used. Those skilled in the art should understand that the scope of the application involved in the present application is not limited to the technical solutions formed by the specific combinations of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above application concept. For example, the technical solutions formed by mutually replacing the above features with the technical features applied in the present application (but not limited to) having similar functions.

Claims

1. A waterway construction work management method based on data analysis, characterized by, include: S1. Obtain water status data, bottom status data and historical operation efficiency data of each suction dredger in each operation area; S2. Conduct risk assessment of navigation operations in each operating area based on the water status data and bottom sediment status data of each operating area; S3. Evaluate the aging degree of each suction dredger based on its historical operating efficiency data; S4. Based on the risk assessment results of navigation operations in the waters of each operation area and the aging degree assessment results of each dredger, the operation area allocation results corresponding to each dredger are obtained, and construction operations are carried out according to the operation area allocation results corresponding to each dredger.

2. The watercourse construction work management method based on data analysis according to claim 1, characterized by, The S2 includes the following specific steps: S21, obtaining a risk assessment value for water operations in each operation area based on the bottom mud density data and bottom sediment particle size data in each operation area; S22. Obtaining the risk assessment results of the water operations in each operation area, and obtaining the risk assessment value of the water operations in each operation area from the risk assessment results of the water operations in each operation area; S23. Preset each unit area in each operation area, and obtain a navigation operation risk assessment value in the water area of ​​each operation area based on the water area operation risk assessment value, navigable water depth data and obstacle density data in each operation area.

3. The watercourse construction work management method based on data analysis according to claim 2, characterized by, The specific steps of the S21 are: performing water operation risk assessment of each operation area based on the bottom mud density data and the bottom particle size data in each operation area, wherein the water operation risk assessment calculation formula of the i th operation area is: wherein, is the bottom mud density data in the i th operation area, is the clear water density data, is the mud specific gravity reference value, is the value greater than 90% of the bottom particle size value in the i th operation area, is the value greater than 50% of the bottom particle size value in the i th operation area, is the reference particle size fluctuation value, is the bottom mud density proportion weight, is the bottom particle size proportion weight.

4. The watercourse construction work management method based on data analysis according to claim 3, characterized by, The specific step of S23 is: based on the water area operation risk assessment value of each operation area, the navigable water area depth data and the obstacle density data in each operation area, the water area navigation operation risk assessment of each operation area is carried out, wherein the water area navigation operation risk assessment calculation formula of the i-th operation area is: Wherein i is the corresponding number of each operation area, i is any one of 1 to N, r is the corresponding number of each unit area, r is any one of 1 to A, The water area operation risk assessment value of the i-th operation area is The maximum depth value in the r-th unit area of the i-th operation area is The minimum depth value in the r-th unit area of the i-th operation area is The reference depth fluctuation value is a, and a is the depth influence proportion weight of the operation area, The obstacle density data of the i-th operation area is Z, and Z is the set safety density.

5. The watercourse construction work management method based on data analysis according to claim 4, characterized by, The specific steps of the S3 are: performing aging degree evaluation of each suction dredger based on historical operation efficiency data of each suction dredger, wherein the aging degree evaluation calculation formula of the jth suction dredger is: wherein j is the number corresponding to each suction dredger, j is any one of 1 to M, k is the number of each historical operation time period, k is any one of 1 to q, is a time decay weight, is the operation efficiency corresponding to the jth suction dredger in the kth historical operation time period, is the operation efficiency corresponding to the jth suction dredger in the k-1th historical operation time period, is an efficiency fluctuation reference value.

6. The watercourse construction work management method based on data analysis according to claim 5, characterized by, The specific steps of S4 are: obtaining the risk assessment results of navigation operations in the waters of each operating area and the aging degree assessment results of each dredger, arranging the risk assessment values ​​of navigation operations in the waters of each operating area in ascending order, and arranging the aging degree assessment values ​​of each dredger in descending order, and making one-to-one correspondence between each dredger corresponding to the arrangement results of the aging degree assessment values ​​of each dredger and each operating area corresponding to the arrangement results of the risk assessment values ​​of navigation operations in the waters of each operating area, in this way, obtaining the allocation results of each operating area corresponding to each dredger, and performing construction operations according to the allocation results of each operating area corresponding to each dredger.

7. A watercourse construction work management system based on data analysis, which is implemented based on the watercourse construction work management method based on data analysis according to any one of claims 1 to 6, characterized by, It specifically includes an operation data acquisition module, an operation area risk assessment module, an equipment aging degree assessment module and an operation area result allocation module. The operation data acquisition module is used to obtain water state data, bottom state data and historical operation efficiency data of each suction dredger in each operation area; The operation area risk assessment module is used to assess the risk of navigation operations in the waters of each operation area based on the water state data and bottom state data of each operation area; The equipment aging degree assessment module is used to assess the aging degree of each suction dredger based on the historical operating efficiency data of each suction dredger; The operation area result allocation module is used to obtain the operation area allocation results corresponding to each dredger based on the navigation operation risk assessment results of the water area of ​​each operation area and the aging degree assessment results of each dredger, and perform construction operations according to the operation area allocation results corresponding to each dredger.

8. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the water conservancy river construction operation management method based on data analysis as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

9. A computer-readable storage medium, characterized in that, The computer is caused to execute the water conservancy riverway construction operation management method based on data analysis according to any one of claims 1-6 when the instructions are run on the computer.

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