A water gate construction data management method and system

Abstract

The application discloses a kind of water gate construction data management method and system, it is related to the technical field of data analysis, including the following steps: analysis obtains flow variation degree, calculates the incidence of extreme weather during construction, selects first control parameter, second control parameter and third control parameter, constructs first screening interval and second screening interval, calculates average construction period, to the first control parameter and second control parameter are continuously regulated, and corresponding second difference is continuously calculated, selects first operation.The application reduces the risk caused by weather or flow change through the analysis of historical hydrological and meteorological data, reasonably selects parameters according to multiple factors, ensures the effectiveness and safety of construction process, sets elastic threshold and continuous control basic change, improves the flexibility of field operation, controls resource use by accurately matching construction data and real-time adjustment strategy, improves economic benefit by reasonably configuring construction resources and time.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a sluice construction data management method and system. Background Art

[0002] In recent years, with the development of mobile Internet, data collection and management at construction sites have become more flexible. Through mobile devices, on-site workers can upload data in real time and communicate with management personnel, improving the efficiency of information transmission. Data management of sluice construction has begun to adopt big data analysis technology to store, process and analyze various types of data generated during the construction process, thereby improving the scientific nature of construction decisions. For example, by analyzing historical construction data, construction plans and resource allocation can be optimized.

[0003] Currently, a Chinese invention patent with publication number CN 117648748 A discloses a method for BIM forward design applied to the sluice project scheme stage. This method integrates digital twin technology with water conservancy landscape river sluice projects to compare the overall design effects of the sluice scheme, improve the efficiency of communicating the scheme with the owner, and quickly transmit the integrated model data to the smart construction and operation management platform, thereby improving work efficiency and enriching communication and expression channels. However, the relevant technology does not regulate the relevant construction parameters according to the construction progress, which easily leads to insufficient applicability of the construction scheme. It does not comprehensively select and analyze the control parameters of the sluice from multiple dimensions, lacks comprehensive analysis and integrity of the data, and lacks scientificity in the sluice construction analysis. Summary of the Invention

[0004] The technical problem solved by the present invention is that the relevant construction parameters are not regulated according to the construction progress in the related technology, which easily leads to insufficient applicability of the construction plan, and the control parameters of the sluice are not selected and analyzed from multiple dimensions. There is a lack of comprehensive analysis and integrity of the data, and a lack of scientificity in the sluice construction analysis.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: In a first aspect, a method for managing sluice construction data comprises the following steps:

[0006] Step S100: Obtain historical hydrological data and historical meteorological data for the area to be constructed, analyze the historical hydrological data to obtain flow rate variability, calculate the incidence of extreme weather during the construction period based on the historical meteorological data, obtain the soil type of the area to be constructed, and match the soil stability to the soil type;

[0007] Step S200: Selecting the ideal construction machine size and ideal excavation depth based on the soil stability (recorded as the first control parameter); selecting the sluice slope and drainage rate based on the flow rate variability (recorded as the second control parameter); and selecting the sluice opening method and sluice material based on the incidence of extreme weather (recorded as the third control parameter);

[0008] Step S300: Predetermine a construction period, set an elasticity threshold, construct a first screening interval and a second screening interval based on the elasticity threshold, the first control parameter, and the second control parameter, call a sluice construction database, perform a first matching on the sluice construction database based on the third control parameter, and obtain first matching data. Perform a second matching on the first matching data based on the first screening interval and the second screening interval, and obtain second matching data. Calculate an average construction period based on the second matching data, and calculate the difference between the predetermined construction period and the average construction period, which is recorded as a second difference.

[0009] Step S400: setting the seventh value as a basic change amount, continuously adjusting the first control parameter and the second control parameter according to the basic change amount, continuously calculating the corresponding second difference, and selecting a first operation according to the difference.

[0010] As a preferred solution of the sluice construction data management method of the present invention, step S100 includes the following sub-steps:

[0011] Step S101, obtaining historical hydrological data and historical meteorological data of the area to be constructed, wherein the historical hydrological data is expressed as historical average daily flow, and the historical meteorological data includes non-extreme weather and extreme weather;

[0012] Step S102, analyzing the historical hydrological data to obtain flow rate variation;

[0013] Step S103, calculating the incidence of extreme weather during the construction period based on historical meteorological data, wherein the extreme weather includes heavy rainfall, drought, extreme low temperature, extreme high temperature, typhoon or hurricane, tornado, hail and snowstorm;

[0014] Step S104: Acquire the soil type of the area to be constructed. The soil types include clay, sand, loam, gravel, silt, and rock. Match the corresponding soil stability according to the soil type. The matching logic of the soil stability includes:

[0015] A soil database is called, the soil type is input into the soil database, and the soil stability corresponding to the soil type is obtained.

[0016] As a preferred solution of the sluice construction data management method of the present invention, the analysis logic of the flow rate variation degree includes:

[0017] Obtain adjacent historical average daily flows, where the adjacent is represented by adjacent in time order, record the adjacent average daily flows as the first flow and the second flow respectively, calculate the difference between the second flow and the first flow, record it as the first difference, calculate the ratio of the first difference to the first flow, record it as the first ratio, traverse the first ratio, calculate the average value of the first ratio, and set the average value of the first ratio as the flow change degree.

[0018] As a preferred solution of the sluice construction data management method described in the present invention, the calculation logic of the incidence of extreme weather includes: counting the total number of non-extreme weather and extreme weather, recorded as the first number, counting the number of extreme weather, recorded as the second number, calculating the ratio of the second number to the first number, recorded as the second ratio, and setting the second ratio as the incidence of extreme weather.

[0019] As a preferred solution of the sluice construction data management method of the present invention, step S200 includes the following sub-steps:

[0020] Step S201: Select an ideal construction machine size and an ideal excavation depth based on the soil stability, which are recorded as first control parameters. The selection logic of the construction machine size and excavation depth includes:

[0021] Taking soil temperature as an initial simulation condition, setting a first value as a settlement threshold, selecting an initial construction machinery size and an initial excavation depth, simulating a construction site, measuring soil settlement, comparing the soil settlement with the settlement threshold, and obtaining a comparison result; when the comparison result shows that the soil settlement is greater than or equal to the settlement threshold, setting a first reduction amount and a second reduction amount, continuously reducing the initial construction machinery size by the first reduction amount, and continuously reducing the initial excavation depth by the first reduction amount, and recording the soil settlement accordingly; until the soil settlement is less than the settlement threshold, stopping the continuous reduction of the initial construction machinery size and the initial excavation depth, and setting the corresponding initial construction machinery size and initial excavation depth as the ideal construction machinery size and ideal excavation depth;

[0022] In step S202, the sluice slope and drainage rate are selected based on the flow rate variability, which are recorded as the second control parameter. The sluice opening method and sluice material are selected based on the incidence of extreme weather, which are recorded as the third control parameter. The sluice opening methods include electric opening and manual opening. The sluice material includes composite materials and anti-seepage materials. The logic for selecting the sluice slope and drainage rate includes:

[0023] Obtain a flow rate variability, obtain the length of the construction site, calculate the ratio of the flow rate variability to the length of the construction site, record the ratio as a third ratio, take the tangent of the third ratio, set the tangent of the third ratio as the sluice slope, obtain the width of the construction site, obtain the flow rate variability, calculate the product of the flow rate variability and the width, record the ratio as a first product, obtain the radius of the drainage pipe and the number of drainage pipes, calculate the ratio of the first product to the number of drainage pipes, record the ratio as a fourth ratio, calculate the cross-sectional area of ​​the drainage pipe, calculate the ratio of the fourth ratio to the cross-sectional area of ​​the drainage pipe, record the ratio as a fifth ratio, and set the fifth ratio as the drainage rate;

[0024] The selection logic of the sluice gate opening method and sluice gate material includes:

[0025] Obtain the extreme weather occurrence rate, set the third value, the fourth value and the fifth value as the demarcation thresholds; when the extreme weather occurrence rate is less than or equal to the third value, set the sluice gate opening mode and the sluice gate material to electric opening and anti-seepage material; when the extreme weather occurrence rate is greater than the third value and less than or equal to the fourth value, set the sluice gate opening mode and the sluice gate material to electric opening and composite material; when the extreme weather occurrence rate is greater than the fourth value and less than or equal to the fifth value, set the sluice gate opening mode and the sluice gate material to manual opening and anti-seepage material; when the extreme weather occurrence rate is greater than the fifth value, set the sluice gate opening mode and the sluice gate material to manual opening and composite material.

[0026] As a preferred solution of the sluice construction data management method of the present invention, step S300 includes the following sub-steps:

[0027] In step S301, the first time period is set as a predetermined construction period, the sixth value is set as an elastic threshold, and a first screening interval and a second screening interval are constructed based on the elastic threshold, the first control parameter, and the second control parameter. The construction logic of the first screening interval and the second screening interval includes:

[0028] Calculating the difference between the elasticity threshold and the first control parameter and the second control parameter respectively to obtain the lower limit value of the first screening interval and the lower limit value of the second screening interval; calculating the sum of the elasticity threshold and the first control parameter and the second control parameter respectively to obtain the upper limit value of the first screening interval and the upper limit value of the second screening interval, and constructing the first screening interval and the second screening interval;

[0029] Step S302, call the sluice construction database, input the sluice opening method and sluice material into the sluice construction database, and obtain first matching data, wherein the first matching data includes the first control parameter corresponding to the sluice opening method and the sluice material, the corresponding second control parameter and the corresponding first construction period, perform a second matching on the first matching data according to the first screening interval and the second screening interval, and obtain second matching data, wherein the second matching data includes the first matching data and the second construction period distributed in the first screening interval and the second screening interval, traverse the second construction period, calculate the average of the second construction period, record it as the average construction period, calculate the difference between the predetermined construction period and the average construction period, and record it as the second difference.

[0030] As a preferred solution of the sluice construction data management method of the present invention, step S400 includes the following sub-steps:

[0031] In step S401, the seventh value is set as a basic change amount, the first control parameter and the second control parameter are continuously adjusted according to the basic change amount, and the corresponding second difference is continuously calculated. The logic for continuously adjusting the first control parameter and the second control parameter includes:

[0032] According to the seventh value, continuously increase or continuously decrease the first control parameter and the second control parameter respectively, and calculate the corresponding second difference;

[0033] Step S402: Select a first operation based on the difference. The selection logic of the first operation includes:

[0034] When the second difference after adjustment is 0, stop adjusting the first control parameter and the second control parameter, and record the first control parameter and the second control parameter when the adjustment is stopped as the standard first control parameter and the standard second control parameter. When the second difference after adjustment is not 0, set half of the basic change amount as the new basic change amount, and perform continuous adjustment until the second difference is 0, and then stop the continuous adjustment.

[0035] In a second aspect, a sluice construction data management system includes an acquisition module, an analysis module, and a control module;

[0036] The acquisition module acquires historical hydrological data and historical meteorological data of the area to be constructed, analyzes the historical hydrological data to obtain flow variability, calculates the incidence of extreme weather during the construction period based on the historical meteorological data, acquires the soil type of the area to be constructed, and matches the corresponding soil stability according to the soil type;

[0037] The analysis module selects an ideal construction machinery size and an ideal excavation depth according to the soil stability, which are recorded as a first control parameter; selects a sluice slope and a drainage rate according to the flow variability, which are recorded as a second control parameter; selects a sluice opening method and a sluice material according to the incidence of extreme weather, which are recorded as a third control parameter; a predetermined construction period is set, an elastic threshold is set, and a first screening interval and a second screening interval are constructed according to the elastic threshold, the first control parameter and the second control parameter; a sluice construction database is called, and a first matching is performed on the sluice construction database according to the third control parameter to obtain first matching data, the first matching data; a second matching is performed on the first matching data according to the first screening interval and the second screening interval to obtain second matching data; an average construction period is calculated according to the second matching data, and a difference between the predetermined construction period and the average construction period is calculated, which is recorded as a second difference;

[0038] The control module sets the seventh value as a basic change amount, continuously adjusts the first control parameter and the second control parameter according to the basic change amount, continuously calculates the corresponding second difference, and selects the first operation according to the difference.

[0039] In a third aspect, the present invention provides an electronic device comprising a memory, a processor and a memory storing computer-readable instructions. When the computer-readable instructions are executed by the processor, the steps in any one of the above-described systems are executed.

[0040] In a fourth aspect, the present invention provides a storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps in the system as described in any one of the above items are executed.

[0041] The beneficial effects of the present invention are as follows: through the analysis of historical hydrological and meteorological data, more accurate construction decisions can be made based on actual conditions, reducing the risks caused by weather or flow changes. According to factors such as soil stability, flow variability and the incidence of extreme weather, parameters such as construction machinery size, excavation depth, sluice slope and drainage rate are reasonably selected to ensure the effectiveness and safety of the construction process. By setting elastic thresholds and continuously regulating basic changes, construction parameters can be dynamically adjusted to adapt to various changes that may occur during the construction process, thereby improving the flexibility of on-site operations. By accurately matching construction data and adjusting strategies in real time, the construction cycle can be optimized, resource utilization can be controlled, and unnecessary construction delays can be reduced. By rationally allocating construction resources and time, construction costs can be reduced and economic benefits can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of the basic flow of a sluice construction data management method and system provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0044] Example, see Figure 1 , as an embodiment of the present invention, provides a sluice construction data management method, comprising the following steps:

[0045] Step S100: Obtain historical hydrological data and historical meteorological data for the area to be constructed, analyze the historical hydrological data to obtain flow rate variability, calculate the incidence of extreme weather during the construction period based on the historical meteorological data, obtain the soil type of the area to be constructed, and match the soil stability to the soil type;

[0046] Step S200: Selecting the ideal construction machine size and ideal excavation depth based on the soil stability (recorded as the first control parameter); selecting the sluice slope and drainage rate based on the flow rate variability (recorded as the second control parameter); and selecting the sluice opening method and sluice material based on the incidence of extreme weather (recorded as the third control parameter);

[0047] Step S300: Predetermine a construction period, set an elasticity threshold, construct a first screening interval and a second screening interval based on the elasticity threshold, the first control parameter, and the second control parameter, call a sluice construction database, perform a first matching on the sluice construction database based on the third control parameter, and obtain first matching data. Perform a second matching on the first matching data based on the first screening interval and the second screening interval, and obtain second matching data. Calculate an average construction period based on the second matching data, and calculate the difference between the predetermined construction period and the average construction period, which is recorded as a second difference.

[0048] Step S400: setting the seventh value as a basic change amount, continuously adjusting the first control parameter and the second control parameter according to the basic change amount, continuously calculating the corresponding second difference, and selecting a first operation according to the difference.

[0049] By analyzing historical hydrological and meteorological data, the present invention can make more accurate construction decisions based on actual conditions, reduce the risks caused by weather or flow changes, and reasonably select parameters such as construction machinery size, excavation depth, sluice slope and drainage rate according to factors such as soil stability, flow variability and extreme weather incidence to ensure the effectiveness and safety of the construction process. By setting elastic thresholds and continuously regulating basic changes, the present invention can dynamically adjust construction parameters to adapt to various changes that may occur during the construction process, thereby improving the flexibility of on-site operations. By accurately matching construction data and adjusting strategies in real time, the present invention can optimize the construction cycle, control resource utilization, reduce unnecessary construction delays, and reduce construction costs and improve economic benefits by rationally allocating construction resources and time.

[0050] The step S100 includes the following sub-steps:

[0051] Step S101, obtaining historical hydrological data and historical meteorological data of the area to be constructed, wherein the historical hydrological data is expressed as historical average daily flow, and the historical meteorological data includes non-extreme weather and extreme weather;

[0052] Step S102, analyzing the historical hydrological data to obtain flow rate variation;

[0053] Step S103, calculating the incidence of extreme weather during the construction period based on historical meteorological data, wherein the extreme weather includes heavy rainfall, drought, extreme low temperature, extreme high temperature, typhoon or hurricane, tornado, hail and snowstorm;

[0054] Step S104: Acquire the soil type of the area to be constructed. The soil types include clay, sand, loam, gravel, silt, and rock. Match the corresponding soil stability according to the soil type. The matching logic of the soil stability includes:

[0055] A soil database is called, the soil type is input into the soil database, and the soil stability corresponding to the soil type is obtained.

[0056] The analysis logic of the flow rate variation includes:

[0057] Obtain adjacent historical average daily flows, where the adjacent is represented by adjacent in time order, record the adjacent average daily flows as the first flow and the second flow respectively, calculate the difference between the second flow and the first flow, record it as the first difference, calculate the ratio of the first difference to the first flow, record it as the first ratio, traverse the first ratio, calculate the average value of the first ratio, and set the average value of the first ratio as the flow change degree.

[0058] The calculation logic of the incidence rate of extreme weather includes: counting the total number of non-extreme weather and extreme weather, recording it as a first number, counting the number of extreme weather, recording it as a second number, calculating the ratio of the second number to the first number, recording it as a second ratio, and setting the second ratio as the incidence rate of extreme weather.

[0059] In specific implementation, historical hydrological and meteorological data provide a rich information basis for subsequent analysis, ensuring the comprehensiveness and accuracy of the data, and can better reflect the natural conditions of the construction area. By analyzing historical hydrological data, the flow change degree is calculated. By analyzing historical meteorological data, the incidence of extreme weather during the construction period is calculated, which can effectively identify extreme weather that may affect the construction. By obtaining the soil type of the area to be constructed and calling the soil database to match the corresponding soil stability, it provides an important reference for selecting appropriate technologies and methods, improving construction safety and stability, and helping to establish a scientific construction plan. It plays a positive role in improving the quality of decision-making during the construction process, thereby reducing potential risks and uncertainties.

[0060] The step S200 includes the following sub-steps:

[0061] Step S201: Select an ideal construction machine size and an ideal excavation depth based on the soil stability, which are recorded as first control parameters. The selection logic of the construction machine size and excavation depth includes:

[0062] Taking soil temperature as an initial simulation condition, setting a first value as a settlement threshold, selecting an initial construction machinery size and an initial excavation depth, simulating a construction site, measuring soil settlement, comparing the soil settlement with the settlement threshold, and obtaining a comparison result; when the comparison result shows that the soil settlement is greater than or equal to the settlement threshold, setting a first reduction amount and a second reduction amount, continuously reducing the initial construction machinery size by the first reduction amount, and continuously reducing the initial excavation depth by the first reduction amount, and recording the soil settlement accordingly; until the soil settlement is less than the settlement threshold, stopping the continuous reduction of the initial construction machinery size and the initial excavation depth, and setting the corresponding initial construction machinery size and initial excavation depth as the ideal construction machinery size and ideal excavation depth;

[0063] In step S202, the sluice slope and drainage rate are selected based on the flow rate variability, which are recorded as the second control parameter. The sluice opening method and sluice material are selected based on the incidence of extreme weather, which are recorded as the third control parameter. The sluice opening methods include electric opening and manual opening. The sluice material includes composite materials and anti-seepage materials. The logic for selecting the sluice slope and drainage rate includes:

[0064] Obtain a flow rate variability, obtain the length of the construction site, calculate the ratio of the flow rate variability to the length of the construction site, record the ratio as a third ratio, take the tangent of the third ratio, set the tangent of the third ratio as the sluice slope, obtain the width of the construction site, obtain the flow rate variability, calculate the product of the flow rate variability and the width, record the ratio as a first product, obtain the radius of the drainage pipe and the number of drainage pipes, calculate the ratio of the first product to the number of drainage pipes, record the ratio as a fourth ratio, calculate the cross-sectional area of ​​the drainage pipe, calculate the ratio of the fourth ratio to the cross-sectional area of ​​the drainage pipe, record the ratio as a fifth ratio, and set the fifth ratio as the drainage rate;

[0065] The selection logic of the sluice gate opening method and sluice gate material includes:

[0066] Obtain the extreme weather occurrence rate, set the third value, the fourth value and the fifth value as the demarcation thresholds; when the extreme weather occurrence rate is less than or equal to the third value, set the sluice gate opening mode and the sluice gate material to electric opening and anti-seepage material; when the extreme weather occurrence rate is greater than the third value and less than or equal to the fourth value, set the sluice gate opening mode and the sluice gate material to electric opening and composite material; when the extreme weather occurrence rate is greater than the fourth value and less than or equal to the fifth value, set the sluice gate opening mode and the sluice gate material to manual opening and anti-seepage material; when the extreme weather occurrence rate is greater than the fifth value, set the sluice gate opening mode and the sluice gate material to manual opening and composite material.

[0067] In specific implementation, by selecting the ideal construction machinery size and excavation depth according to the soil type, ensuring that the soil settlement is controlled within a reasonable range during the construction process, it is helpful to improve construction safety and reduce later problems caused by settlement. Through the analysis of flow variation, the slope and drainage rate of the sluice are reasonably selected, and the opening method and material of the sluice are selected according to the occurrence rate of extreme weather, so that the sluice can perform at its best under different meteorological conditions. By calculating the ratio of flow change to the size of the construction site, it is ensured that the drainage capacity of the sluice matches the construction requirements, thereby improving flood control and drainage capabilities. The opening method and material of the sluice are selected in combination with the occurrence rate of extreme weather, which can effectively respond to different weather conditions, ensure the normal operation of the sluice in extreme conditions such as heavy rainfall or drought, and reduce engineering risks. Through reasonable parameter setting and design logic, the efficiency of sluice construction can be improved and the waste of time and cost caused by improper selection can be reduced.

[0068] The step S300 includes the following sub-steps:

[0069] In step S301, the first time period is set as a predetermined construction period, the sixth value is set as an elastic threshold, and a first screening interval and a second screening interval are constructed based on the elastic threshold, the first control parameter, and the second control parameter. The construction logic of the first screening interval and the second screening interval includes:

[0070] Calculating the difference between the elasticity threshold and the first control parameter and the second control parameter respectively to obtain the lower limit value of the first screening interval and the lower limit value of the second screening interval; calculating the sum of the elasticity threshold and the first control parameter and the second control parameter respectively to obtain the upper limit value of the first screening interval and the upper limit value of the second screening interval, and constructing the first screening interval and the second screening interval;

[0071] Step S302, call the sluice construction database, input the sluice opening method and sluice material into the sluice construction database, and obtain first matching data, wherein the first matching data includes the first control parameter corresponding to the sluice opening method and the sluice material, the corresponding second control parameter and the corresponding first construction period, perform a second matching on the first matching data according to the first screening interval and the second screening interval, and obtain second matching data, wherein the second matching data includes the first matching data and the second construction period distributed in the first screening interval and the second screening interval, traverse the second construction period, calculate the average of the second construction period, record it as the average construction period, calculate the difference between the predetermined construction period and the average construction period, and record it as the second difference.

[0072] In specific implementation, by setting elastic thresholds and control parameters, flexibility can be provided for construction, which helps to deal with emergencies and reduce possible problems during construction. By calling the sluice construction database and obtaining data related to specific opening methods and materials, it is helpful to select appropriate construction plans and improve the pertinence and effectiveness of construction. Calculating the difference between the average value of the second construction cycle and the scheduled construction cycle can help to timely evaluate the progress of construction and make corresponding adjustments, which helps to ensure that the project is completed within the scheduled time.

[0073] The step S400 includes the following sub-steps:

[0074] In step S401, the seventh value is set as a basic change amount, the first control parameter and the second control parameter are continuously adjusted according to the basic change amount, and the corresponding second difference is continuously calculated. The logic for continuously adjusting the first control parameter and the second control parameter includes:

[0075] According to the seventh value, continuously increase or continuously decrease the first control parameter and the second control parameter respectively, and calculate the corresponding second difference;

[0076] Step S402: Select a first operation based on the difference. The selection logic of the first operation includes:

[0077] When the second difference after adjustment is 0, stop adjusting the first control parameter and the second control parameter, and record the first control parameter and the second control parameter when the adjustment is stopped as the standard first control parameter and the standard second control parameter. When the second difference after adjustment is not 0, set half of the basic change amount as the new basic change amount, and perform continuous adjustment until the second difference is 0, and then stop the continuous adjustment.

[0078] In specific implementation, by setting the foundation change and continuously adjusting the first and second control parameters, the construction process can be adjusted according to real-time data, which helps to respond to changes in the construction process in a timely manner and ensure the smooth progress of the project. By continuously adjusting the control parameters until the second difference is 0, the adjustment target of the control parameters is accurately achieved, so that the construction period and quality meet the expected standards. In the adjustment process, when the difference after adjustment is not 0, the foundation change is halved to provide a flexible response strategy, which effectively reduces the impact of uncertain factors on construction results and improves the stability of the project. When the second difference after adjustment is 0, the standard control parameters can be determined, thereby providing a reliable benchmark for subsequent construction, allowing repeated adjustment, promoting a cycle of continuous optimization, and promoting continuous improvement in actual construction.

[0079] By analyzing historical hydrological and meteorological data, the present invention can make more accurate construction decisions based on actual conditions, reduce the risks caused by weather or flow changes, and reasonably select parameters such as construction machinery size, excavation depth, sluice slope and drainage rate according to factors such as soil stability, flow variability and extreme weather incidence to ensure the effectiveness and safety of the construction process. By setting elastic thresholds and continuously regulating basic changes, the present invention can dynamically adjust construction parameters to adapt to various changes that may occur during the construction process, thereby improving the flexibility of on-site operations. By accurately matching construction data and adjusting strategies in real time, the present invention can optimize the construction cycle, control resource utilization, reduce unnecessary construction delays, and reduce construction costs and improve economic benefits by rationally allocating construction resources and time.

[0080] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a fully hardware embodiment, a fully software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. The storage medium may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0081] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A sluice construction data management method, characterized in that: The following steps are involved: Step S100: Obtain historical hydrological data and historical meteorological data for the area to be constructed, analyze the historical hydrological data to obtain flow rate variability, calculate the incidence of extreme weather during the construction period based on the historical meteorological data, obtain the soil type of the area to be constructed, and match the soil stability to the soil type; Step S200: Selecting the ideal construction machine size and ideal excavation depth based on the soil stability (recorded as the first control parameter); selecting the sluice slope and drainage rate based on the flow rate variability (recorded as the second control parameter); and selecting the sluice opening method and sluice material based on the incidence of extreme weather (recorded as the third control parameter); Step S300: Predetermine a construction period, set an elasticity threshold, construct a first screening interval and a second screening interval based on the elasticity threshold, the first control parameter, and the second control parameter, call a sluice construction database, perform a first matching on the sluice construction database based on the third control parameter, and obtain first matching data. Perform a second matching on the first matching data based on the first screening interval and the second screening interval, and obtain second matching data. Calculate an average construction period based on the second matching data, and calculate the difference between the predetermined construction period and the average construction period, which is recorded as a second difference. Step S400: setting the seventh value as a basic change amount, continuously adjusting the first control parameter and the second control parameter according to the basic change amount, continuously calculating the corresponding second difference, and selecting a first operation according to the difference.

2. A sluice construction data management method according to claim 1, characterized in that: The step S100 includes the following sub-steps: Step S101, obtaining historical hydrological data and historical meteorological data of the area to be constructed, wherein the historical hydrological data is expressed as historical average daily flow, and the historical meteorological data includes non-extreme weather and extreme weather; Step S102, analyzing the historical hydrological data to obtain flow rate variation; Step S103, calculating the incidence of extreme weather during the construction period based on historical meteorological data, wherein the extreme weather includes heavy rainfall, drought, extreme low temperature, extreme high temperature, typhoon or hurricane, tornado, hail and snowstorm; Step S104: Acquire the soil type of the area to be constructed. The soil types include clay, sand, loam, gravel, silt, and rock. Match the corresponding soil stability according to the soil type. The matching logic of the soil stability includes: A soil database is called, the soil type is input into the soil database, and the soil stability corresponding to the soil type is obtained.

3. A sluice construction data management method according to claim 2, characterized in that: The analysis logic of the flow rate variation includes: Obtain adjacent historical average daily flows, where the adjacent is represented by adjacent in time order, record the adjacent average daily flows as the first flow and the second flow respectively, calculate the difference between the second flow and the first flow, record it as the first difference, calculate the ratio of the first difference to the first flow, record it as the first ratio, traverse the first ratio, calculate the average value of the first ratio, and set the average value of the first ratio as the flow change degree.

4. A sluice construction data management method according to claim 2, characterized in that: The calculation logic of the incidence rate of extreme weather includes: counting the total number of non-extreme weather and extreme weather, recording it as a first number, counting the number of extreme weather, recording it as a second number, calculating the ratio of the second number to the first number, recording it as a second ratio, and setting the second ratio as the incidence rate of extreme weather.

5. A sluice construction data management method according to claim 1, characterized in that: The step S200 includes the following sub-steps: Step S201: Select an ideal construction machine size and an ideal excavation depth based on the soil stability, which are recorded as first control parameters. The selection logic of the construction machine size and excavation depth includes: Taking soil temperature as an initial simulation condition, setting a first value as a settlement threshold, selecting an initial construction machinery size and an initial excavation depth, simulating a construction site, measuring soil settlement, comparing the soil settlement with the settlement threshold, and obtaining a comparison result; when the comparison result shows that the soil settlement is greater than or equal to the settlement threshold, setting a first reduction amount and a second reduction amount, continuously reducing the initial construction machinery size by the first reduction amount, and continuously reducing the initial excavation depth by the first reduction amount, and recording the soil settlement accordingly; until the soil settlement is less than the settlement threshold, stopping the continuous reduction of the initial construction machinery size and the initial excavation depth, and setting the corresponding initial construction machinery size and initial excavation depth as the ideal construction machinery size and ideal excavation depth; In step S202, the sluice slope and drainage rate are selected based on the flow rate variability, which are recorded as the second control parameter. The sluice opening method and sluice material are selected based on the incidence of extreme weather, which are recorded as the third control parameter. The sluice opening methods include electric opening and manual opening. The sluice material includes composite materials and anti-seepage materials. The logic for selecting the sluice slope and drainage rate includes: Obtain a flow rate variability, obtain the length of the construction site, calculate the ratio of the flow rate variability to the length of the construction site, record the ratio as a third ratio, take the tangent of the third ratio, set the tangent of the third ratio as the sluice slope, obtain the width of the construction site, obtain the flow rate variability, calculate the product of the flow rate variability and the width, record the ratio as a first product, obtain the radius of the drainage pipe and the number of drainage pipes, calculate the ratio of the first product to the number of drainage pipes, record the ratio as a fourth ratio, calculate the cross-sectional area of ​​the drainage pipe, calculate the ratio of the fourth ratio to the cross-sectional area of ​​the drainage pipe, record the ratio as a fifth ratio, and set the fifth ratio as the drainage rate; The selection logic of the sluice gate opening method and sluice gate material includes: Obtain the extreme weather occurrence rate, set the third value, the fourth value and the fifth value as the demarcation thresholds; when the extreme weather occurrence rate is less than or equal to the third value, set the sluice gate opening mode and the sluice gate material to electric opening and anti-seepage material; when the extreme weather occurrence rate is greater than the third value and less than or equal to the fourth value, set the sluice gate opening mode and the sluice gate material to electric opening and composite material; when the extreme weather occurrence rate is greater than the fourth value and less than or equal to the fifth value, set the sluice gate opening mode and the sluice gate material to manual opening and anti-seepage material; when the extreme weather occurrence rate is greater than the fifth value, set the sluice gate opening mode and the sluice gate material to manual opening and composite material.

6. A sluice construction data management method according to claim 1, characterized in that: The step S300 includes the following sub-steps: In step S301, the first time period is set as a predetermined construction period, the sixth value is set as an elastic threshold, and a first screening interval and a second screening interval are constructed based on the elastic threshold, the first control parameter, and the second control parameter. The construction logic of the first screening interval and the second screening interval includes: Calculating the difference between the elasticity threshold and the first control parameter and the second control parameter respectively to obtain the lower limit value of the first screening interval and the lower limit value of the second screening interval; calculating the sum of the elasticity threshold and the first control parameter and the second control parameter respectively to obtain the upper limit value of the first screening interval and the upper limit value of the second screening interval, and constructing the first screening interval and the second screening interval; Step S302, call the sluice construction database, input the sluice opening method and sluice material into the sluice construction database, and obtain first matching data, wherein the first matching data includes the first control parameter corresponding to the sluice opening method and the sluice material, the corresponding second control parameter and the corresponding first construction period, perform a second matching on the first matching data according to the first screening interval and the second screening interval, and obtain second matching data, wherein the second matching data includes the first matching data and the second construction period distributed in the first screening interval and the second screening interval, traverse the second construction period, calculate the average of the second construction period, record it as the average construction period, calculate the difference between the predetermined construction period and the average construction period, and record it as the second difference.

7. A sluice construction data management method according to claim 1, characterized in that: The step S400 includes the following sub-steps: In step S401, the seventh value is set as a basic change amount, the first control parameter and the second control parameter are continuously adjusted according to the basic change amount, and the corresponding second difference is continuously calculated. The logic for continuously adjusting the first control parameter and the second control parameter includes: According to the seventh value, continuously increase or continuously decrease the first control parameter and the second control parameter respectively, and calculate the corresponding second difference; Step S402: Select a first operation based on the difference. The selection logic of the first operation includes: When the second difference after adjustment is 0, stop adjusting the first control parameter and the second control parameter, and record the first control parameter and the second control parameter when the adjustment is stopped as the standard first control parameter and the standard second control parameter. When the second difference after adjustment is not 0, set half of the basic change amount as the new basic change amount, and perform continuous adjustment until the second difference is 0, and then stop the continuous adjustment.

8. A sluice construction data management system, characterized in that: It includes acquisition module, analysis module and control module; The acquisition module acquires historical hydrological data and historical meteorological data of the area to be constructed, analyzes the historical hydrological data to obtain flow variability, calculates the incidence of extreme weather during the construction period based on the historical meteorological data, acquires the soil type of the area to be constructed, and matches the corresponding soil stability according to the soil type; The analysis module selects an ideal construction machinery size and an ideal excavation depth according to the soil stability, which are recorded as a first control parameter; selects a sluice slope and a drainage rate according to the flow variability, which are recorded as a second control parameter; selects a sluice opening method and a sluice material according to the incidence of extreme weather, which are recorded as a third control parameter; a predetermined construction period is set, an elastic threshold is set, and a first screening interval and a second screening interval are constructed according to the elastic threshold, the first control parameter and the second control parameter; a sluice construction database is called, and a first matching is performed on the sluice construction database according to the third control parameter to obtain first matching data, the first matching data; a second matching is performed on the first matching data according to the first screening interval and the second screening interval to obtain second matching data; an average construction period is calculated according to the second matching data, and a difference between the predetermined construction period and the average construction period is calculated, which is recorded as a second difference; The control module sets the seventh value as a basic change amount, continuously adjusts the first control parameter and the second control parameter according to the basic change amount, continuously calculates the corresponding second difference, and selects the first operation according to the difference.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for managing sluice construction data according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for managing sluice construction data according to any one of claims 1 to 7 is implemented.

Images