Intelligent decision support system for urban water conservancy project multi-source data fusion

Abstract

The invention discloses an intelligent decision support system for urban water conservancy project multi-source data fusion, and relates to the field of engineering planning. Forming a feature region containing a green belt; analyzing to obtain at least one terrain low point and at least one terrain high point; obtaining an operation labor-consuming index of the distribution block; forming at least one first planning scheme; forming a second planning scheme corresponding to the first planning scheme; and combining the first planning scheme and the corresponding second planning scheme into a third planning scheme, and calculating an operation difficulty value of the third planning scheme. The urban water conservancy project to be repaired is classified to form a feature region containing a green belt, the operation labor-consuming index of a distribution block is obtained, and the operation difficulty value of a third planning scheme is calculated, so that the soil excavation difficulty, the excavation length and the relative position relationship between the water conservancy project and the green belt can be synthesized; and the reasonability of the designed planning scheme is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of engineering planning, in particular to a kind of urban water conservancy engineering multi-source data fusion intelligent decision support system. BACKGROUND

[0002] Urban water conservancy space layout is a complex system engineering, the combination of natural science and engineering technology, also the combination of development planning and local reality.A successful layout can maximize the overall benefits of water conservancy with minimal cost and environmental cost.Urban water conservancy is usually to drain waterlogging and to water the green belt.

[0003] When carrying out water conservancy space layout, there are many factors involved, including soil excavation difficulty, excavation length and the relative position relationship between water conservancy and green belt.The existing technology cannot well integrate the above factors, resulting in the rationality of the designed planning scheme to be improved. SUMMARY

[0004] To solve the above technical problems, an urban water conservancy engineering multi-source data fusion intelligent decision support system is provided, which solves the problems raised in the background technology.

[0005] To achieve the above purpose, the technical scheme adopted by the present application is: An urban water conservancy engineering multi-source data fusion intelligent decision support system, comprising: A water conservancy classification module, which obtains at least one city water conservancy to be repaired, classifies the city water conservancy to be repaired according to the use attribute of the city water conservancy to be repaired, and obtains city storage water conservancy, city drainage water conservancy and city transmission water conservancy; A region identification module, which obtains at least one green belt and forms a feature region containing the green belt; A point identification module, which analyzes at least one low point and at least one high point in the feature region; An index calculation module, which uniformly divides the feature region into at least one distribution block, analyzes the soil excavation difficulty in the distribution block, and obtains the work effort index of the distribution block; A scheme formation module, which forms at least one first planning scheme based on the low point and the high point, the first planning scheme being a planning scheme of the city storage water conservancy and the city drainage water conservancy, and forms a second planning scheme corresponding to the first planning scheme, the second planning scheme being a planning scheme of the city transmission water conservancy; The scheme determining module combines the first planning scheme and the second planning scheme corresponding thereto into a third planning scheme, calculates a work difficulty value of the third planning scheme according to the work effort index, and selects the third planning scheme with the minimum work difficulty value as the target planning scheme.

[0006] Preferably, the classifying of the to-be-repaired urban water conservancy according to the use attribute of the to-be-repaired urban water conservancy comprises the following steps: If the to-be-repaired urban water conservancy is not a sewer and supplies water resources to the green belt during a dry period, the to-be-repaired urban water conservancy is classified as a city storage water conservancy; If the to-be-repaired urban water conservancy is not a sewer and receives water discharged by the green belt during a wet period, the to-be-repaired urban water conservancy is classified as a city drainage water conservancy; If the to-be-repaired urban water conservancy is a sewer and is connected between the city storage water conservancy, the city drainage water conservancy or the green belt, the to-be-repaired urban water conservancy is classified as a city transmission water conservancy.

[0007] Preferably, the forming of the feature area containing the green belt comprises the following steps: The center of each green belt is identified, the coordinates of the centers of the green belts are averaged to obtain center average coordinates, and the position of the center average coordinates is taken as a feature point; A feature circle is drawn with the feature point as the center, and the feature circle is required to contain all the green belts.

[0008] Preferably, the analyzing of the feature area to obtain at least one low point and at least one high point comprises the following steps: The highest water level allowed for normal growth of crops in the green belt is obtained as a reference height of the green belt, and the reference height is measured based on the sea level; The reference height of the green belt is averaged to obtain a first height, and the height of the ground surface of the green belt is averaged to obtain a second height; The excavation depth of the city storage water conservancy is obtained, and the excavation depth of the city storage water conservancy is superimposed on the second height to obtain a high value; The excavation depth of the city transmission water conservancy is obtained, and the first height minus the excavation depth of the city transmission water conservancy is obtained as a low value; At least one identification point is uniformly taken in the feature area, if the height of the identification point is lower than the low value, the identification point is taken as a low point, and if the height of the identification point is higher than the high value, the identification point is taken as a high point.

[0009] Preferably, the analyzing of the excavation difficulty of the soil in the distribution block to obtain the work effort index of the distribution block comprises the following steps: Obtaining sample soil, measuring specific gravity of rock contained in the sample soil to obtain rock reference content, measuring specific gravity of water contained in the sample soil to obtain water reference content; Filling the sample soil into the square space, using the digging device to dig the sample soil, taking power consumed by the digging as a first power value; After removing the rock in the sample soil, obtaining sample corrected soil, filling the sample corrected soil into the square space, using the digging device to dig the sample corrected soil, taking power consumed by the digging as a second power value; Subtracting the first power value from the second power value to obtain a third power value; Multiplying the second power value by the water reference content to obtain a water constant, and dividing the third power value by the rock reference content to obtain a rock constant; Taking specific gravity of rock contained in the soil in the distribution block as rock actual content, and taking specific gravity of water contained in the soil in the distribution block as water actual content; Using a comprehensive formula to calculate the work effort index of the distribution block; The comprehensive formula is as follows: , Wherein, A is the work effort index of the distribution block, B is the rock constant, D is the water constant, b is the rock actual content, and d is the water actual content.

[0010] Preferably, the forming of the at least one first planning scheme based on the low points and the high points comprises the following steps: Forming at least one high point set, the high point set being composed of high points, and the number of elements in the high point set being equal to the number of water storage facilities in the city; Forming at least one low point set, the low point set being composed of low points, and the number of elements in the low point set being equal to the number of water drainage facilities in the city; Superimposing the height of the surface of the green belt and the digging depth of the water storage facility in the city to obtain a first basic value of the green belt; Subtracting the digging depth of the water transmission facility in the city from the reference height of the green belt to obtain a second basic value of the green belt; Matching the green belt to the high point in the high point set closest to the green belt, and if the height of the high point in the high point set is higher than the first basic value of the corresponding green belt, taking the high point set as a target high point set; Matching the green belt to the low point in the low point set closest to the green belt, and if the height of the low point in the low point set is lower than the second basic value of the corresponding green belt, taking the low point set as a target low point set; The set of target high points and the set of target low points are randomly merged to obtain at least one first planning scheme. During construction, the center of urban water storage is set at the high point of the first planning scheme, and the center of urban drainage water conservancy is set at the low point of the first planning scheme.

[0011] Preferably, the process of forming the second planning scheme corresponding to the first planning scheme includes the following steps: At least one reference point is uniformly selected within the feature region to form at least one reference point sequence, which is composed of several of the at least one reference point; Based on length and water flow, the first connection path between the green belt and its corresponding high point in the first planning scheme is obtained through analysis. Based on length and water flow, the second connection path between the green belt and its corresponding low point in the first planning scheme is obtained through analysis. The first and second connection paths are combined to form a second planning scheme. During construction, the excavation of urban water transmission channels is carried out according to the trajectories of the first and second connection paths in the second planning scheme.

[0012] Preferably, the analysis to obtain the first connection path between the green belt and its corresponding high point in the first planning scheme includes the following steps: The green belt is added to the end of the benchmark sequence, and the corresponding high point of the green belt is added to the beginning of the benchmark sequence to obtain the first preliminary sequence. All items in the first preliminary sequence are recorded as the first point. If the height of the first point in the first preliminary sequence is greater than that of the first point in the second preliminary sequence, then the first preliminary sequence is taken as the first initial sequence. The length of the first initial sequence is obtained by summing the distances between adjacent first points in the first initial sequence. The shortest initial sequence is used as the first target sequence; The path formed by sequentially connecting the first points in the first target sequence is used as the first connection path between the green belt at the end of the first target sequence and its corresponding high point.

[0013] Preferably, the analysis to obtain the second connection path between the green belt and its corresponding low point in the first planning scheme includes the following steps: The green belt is added to the beginning of the benchmark sequence, and the corresponding low point is added to the end of the benchmark sequence to obtain the second preliminary sequence. All items in the second preliminary sequence are recorded as the second point. If the height of the second point that is ranked earlier in the second preliminary sequence is greater than that of the second point that is ranked later, then the second preliminary sequence is taken as the second initial sequence. The length of the second initial sequence is obtained by summing the distances between adjacent second points in the second initial sequence. The shortest initial sequence is used as the second target sequence; The path formed by sequentially connecting the second points in the second target sequence will be used as the second connection path between the green belt at the beginning of the second target sequence and its corresponding low point.

[0014] Preferably, calculating the operational difficulty value of the third planning scheme based on the operational effort index includes the following steps: The distribution blocks through which urban water storage conservancy projects are carried in the third planning scheme are taken as the first distribution block, and the excavation depth of urban water storage conservancy projects is taken as the weight of the first distribution block. The distribution blocks through which urban drainage water conservancy projects in the third planning scheme pass are designated as the second distribution block, and the excavation depth of urban drainage water conservancy projects is designated as the weight of the second distribution block. The distribution blocks through which urban water transmission channels pass in the third planning scheme are designated as the third distribution block, and the excavation depth of urban water transmission channels is designated as the weight of the third distribution block. The operational difficulty index of the first, second, and third distribution blocks is multiplied by their corresponding weights and then summed to obtain the operational difficulty value of the third planning scheme.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: By classifying the urban water conservancy projects to be repaired, forming characteristic areas that include green belts, obtaining the operational effort index of the distribution blocks, and calculating the operational difficulty value of the third planning scheme, the first and second planning schemes can be generated based on the relative positions of the green belts. During the scheme generation, the location of the water conservancy projects is set according to their intended use to ensure that they can drain water or replenish water resources for the green belts. At the same time, the location settings are further screened to ensure that the amount of construction work is relatively small. Considering the excavation difficulty, the scheme with the least construction difficulty is selected. In this way, the soil excavation difficulty, excavation length, and relative positional relationship between the water conservancy projects and the green belts can be integrated to ensure the rationality of the planning scheme designed. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the intelligent decision support system for multi-source data fusion in urban water conservancy projects according to the present invention. Figure 2 This is a flowchart illustrating the process of classifying urban water conservancy projects according to their intended use, as per the present invention. Figure 3 This is a schematic diagram of the process for forming a characteristic area including a green belt according to the present invention; Figure 4 This is a schematic diagram of the process of analyzing and obtaining at least one low point and at least one high point within a characteristic area according to the present invention. Figure 5 This invention provides a flowchart illustrating the process of analyzing the soil excavation difficulty within a distribution block to obtain the operational effort index of the distribution block. Figure 6 This is a schematic diagram of the process of forming at least one first planning scheme based on low and high terrain points according to the present invention. Figure 7 This is a flowchart illustrating the process of forming the second planning scheme corresponding to the first planning scheme of the present invention. Figure 8 This is a flowchart illustrating the first connection path between the green belt and its corresponding high point in the first planning scheme obtained through analysis in this invention. Figure 9 A flowchart illustrating the second connection path between the green belt and its corresponding low point in the first planning scheme obtained through analysis in this invention. Figure 10 This is a flowchart illustrating the process of calculating the operational difficulty value of the third planning scheme based on the operational effort index according to the present invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 As shown, an intelligent decision support system for urban water conservancy projects, which integrates multi-source data, includes: The water conservancy classification module acquires at least one urban water conservancy project to be repaired, and classifies the urban water conservancy project to be repaired according to its purpose attributes, resulting in urban storage water conservancy, urban drainage water conservancy, and urban transmission water conservancy. A region identification module, wherein the region identification module acquires at least one green belt to form a feature region containing the green belt; The point identification module analyzes and identifies at least one low-lying point and at least one high-lying point within the feature area. The index calculation module uniformly divides the feature region into at least one distribution block, analyzes the soil excavation difficulty within the distribution block, and obtains the operational effort index of the distribution block. The scheme forming module forms at least one first planning scheme based on low and high terrain points. The first planning scheme is a planning scheme for urban water storage and urban drainage. The module also forms a second planning scheme corresponding to the first planning scheme. The second planning scheme is a planning scheme for urban water transmission. The scheme determination module merges the first planning scheme and its corresponding second planning scheme into a third planning scheme. Based on the work effort index, it calculates the work difficulty value of the third planning scheme and selects the third planning scheme with the smallest work difficulty value as the target planning scheme.

[0019] Urban water conservancy is typically used for irrigation or drainage of green belts. Therefore, it can be divided into three categories: urban storage water conservancy, urban drainage water conservancy, and urban transmission water conservancy. The structures of urban storage water conservancy and urban drainage water conservancy are similar to those of reservoirs. However, urban storage water conservancy is located at a higher level and needs to replenish the water resources of green belts through gravity when they are short of water. Urban drainage water conservancy is located at a lower level and needs to drain rainwater from green belts when rainwater accumulates. Because green belts are surrounded by field ridges, rainwater accumulates inside them. Drainage mainly relies on downward water infiltration. Therefore, when there is heavy rainfall, drainage is required through the excavation of sewers. The connection between drainage and water replenishment requires the use of sewers. At the same time, the difficulty of excavation varies in different locations. Therefore, these factors need to be taken into account during the design process to obtain a more reasonable solution, and a series of steps are set up to handle this in the subsequent process. Here, each green belt is a connected area, while the disconnected areas are different green belts. At the same time, the height and water level here are calculated based on sea level. Since green belts are widely distributed in cities, completing the drainage of green belts is equivalent to completing the drainage of the city.

[0020] Reference Figure 2 As shown, classifying urban water conservancy projects according to their intended use includes the following steps: If the urban water conservancy project to be repaired is not a sewer and it is used to replenish water resources for green belts during droughts, then the urban water conservancy project to be repaired will be regarded as urban water storage. If the urban water conservancy project to be repaired is not a sewer and receives water discharged from green belts during the high-water season, then the urban water conservancy project to be repaired will be regarded as an urban drainage water conservancy project. If the urban water conservancy to be repaired is a sewer and is connected to urban water storage conservancy, urban drainage conservancy, or green belt, then the urban water conservancy to be repaired will be regarded as urban transmission water conservancy.

[0021] Reference Figure 3As shown, forming a characteristic area including a green belt includes the following steps: The center of at least one green belt is identified, and the average coordinates of the center of at least one green belt are taken to obtain the average coordinates of the center. The position of the average coordinates of the center is used as the feature point. Draw a feature circle with the feature point as the center, such that the feature circle exactly contains all the green belts.

[0022] The characteristic circle means that it exactly includes all the green belts. If the radius of the characteristic circle is reduced, then the characteristic circle cannot include all the green belts.

[0023] Reference Figure 4 As shown, within the characteristic region, the analysis to identify at least one low-lying point and at least one high-lying point includes the following steps: The highest water level that crops in the green belt are allowed to grow normally is obtained as the reference height of the green belt. The reference height is measured with sea level as the reference. The average height of the reference height of the green belt is taken to obtain the first height, and the average height of the ground surface of the green belt is taken to obtain the second height; The excavation depth of the urban water storage conservancy is obtained, and the excavation depth of the urban water storage conservancy is superimposed with the second height to obtain the high-level value; To obtain the excavation depth of the urban water transmission conservancy project, subtract the excavation depth of the urban water transmission conservancy project from the first height to obtain the lower value. At least one identification point is uniformly selected within the feature area. If the height of the identification point is lower than the low value, the identification point is regarded as the low point of the terrain. If the height of the identification point is higher than the high value, the identification point is regarded as the high point of the terrain.

[0024] High points are used for setting up urban water storage facilities, while low points are used for setting up urban drainage facilities. Here, the locations of urban water storage facilities and urban drainage facilities are selected first. Once their locations are determined, the design of urban transmission facilities can be carried out based on their relative positions to the green belt. Urban transmission facilities are sewers used to connect urban water storage facilities and green belts or urban drainage facilities and green belts. Therefore, the high point needs to be higher than most green belts. Since the high point is where urban water storage facilities are built to replenish the green belts, the bottom of the urban water storage facilities also needs to be higher than most green belts. Therefore, the high point is identified by the point where the height is higher than the high point value. In this way, the water at the bottom of the urban water storage facilities built at that point can also replenish the green belts through gravity. It should be noted that the connection point of the urban transmission water conservancy facilities connected to the urban water storage facilities is set at the bottom of the urban water storage facilities. The low-lying point needs to be lower than most green belts. Since the low-lying point is where urban drainage water conservancy is built, and the connection between the green belt and the urban drainage water conservancy needs to be through the urban transmission water conservancy, but the urban transmission water conservancy has a certain depth as a sewer, in order to ensure that the water at the bottom of the sewer can also flow to the urban drainage water conservancy, the identification point with a height lower than the low value is designated as the low-lying point. Then the bottom of the urban transmission water conservancy connected to the urban drainage water conservancy built at this point can be higher than most green belts. Thus, when the urban transmission water conservancy is used for water flow, it can be utilized to the maximum extent, rather than only the surface water in the urban transmission water conservancy flowing, while the water at the bottom cannot flow because there is no height difference. It should be noted that the connection point of the urban transmission water conservancy system, which is connected to the urban drainage water conservancy system, is located at the top of the urban drainage water conservancy system; Here, only high and low points are formed, which allows for some redundancy in the subsequent selection process, thus creating multiple solutions that meet the requirements, and further selecting the required solution based on the difficulty of excavation.

[0025] Reference Figure 5 As shown, the analysis of soil excavation difficulty within the distribution block yields the operational effort index of the distribution block, which includes the following steps: Obtain soil samples, measure the specific gravity of rocks in the soil samples to obtain the rock reference content, and measure the specific gravity of water in the soil samples to obtain the water reference content. The sample soil was filled into a square space, and the sample soil was excavated using excavation equipment. The electricity consumed in the excavation was taken as the first electricity value. After removing the rocks from the sample soil, the sample corrected soil is obtained. The sample corrected soil is filled into a square space, and the sample corrected soil is excavated using excavation equipment. The electricity consumed in the excavation is used as the second electricity value. The third power value is obtained by subtracting the first power value from the second power value. The second electrical value is multiplied by the water reference content to obtain the water constant, and the third electrical value is divided by the rock reference content to obtain the rock constant. The proportion of rock in the soil within the distribution block is taken as the actual rock content, and the proportion of water in the soil within the distribution block is taken as the actual water content. The operational effort index of the distributed blocks is calculated using a comprehensive formula. The comprehensive formula is as follows: , Where A is the operational effort index of the distribution block, B is the rock constant, D is the moisture constant, b is the actual rock content, and d is the actual water content.

[0026] Here, power consumption is used to characterize the labor intensity index of the operation, because the more difficult the excavation, the higher the power consumption. It is easy to know that the more stones in the soil, the greater the excavation difficulty. That is, the excavation difficulty is directly proportional to the stone content. Therefore, the proportional coefficient of this direct relationship can be calculated as the rock constant. When calculating the rock constant, only the electricity involved in rock excavation is used. Once the actual rock content is determined, the corresponding excavation difficulty can be calculated. The higher the soil moisture content, the easier the excavation. That is, the moisture content and the excavation difficulty are inversely proportional. Therefore, the proportional coefficient of this inverse relationship can be obtained as the moisture constant. When calculating the moisture constant, only the power of excavation without rock is used. Once the actual water content is determined, the corresponding excavation difficulty can be calculated. Since the difficulty of excavation is caused by the superposition of rock and water, and the labor cost index is determined by power consumption, they can be directly superimposed to obtain the labor cost index of the distribution block. The above is the principle of obtaining the comprehensive formula.

[0027] Reference Figure 6 As shown, based on the low and high points of the terrain, forming at least one first planning scheme includes the following steps: Form at least one set of high points, the set of high points is composed of high points, and the number of elements in the set of high points is equal to the number of water storage facilities in the city; Form at least one set of low-lying points, the set of low-lying points is composed of low-lying points, and the number of elements in the set of low-lying points is equal to the number of urban drainage and water conservancy projects. The first basic value of the green belt is obtained by superimposing the ground surface height of the green belt with the excavation depth of the urban water storage conservancy. The second basic value of the green belt is obtained by subtracting the excavation depth of urban water conservancy from the reference height of the green belt; Match the green belt to the highest point in the set of high points that is closest to the green belt. If the height of all the high points in the set of high points is higher than the first basic value of the corresponding green belt, then take the set of high points as the target set of high points. Match the green belt to the lowest point in the set of low-lying terrain that is closest to the green belt. If the height of all the low points in the set of low-lying terrain is lower than the second basic value of the corresponding green belt, then take the set of low-lying terrain as the target set of low-lying terrain. The set of target high points and the set of target low points are randomly merged to obtain at least one first planning scheme. During construction, the center of urban water storage is set at the high point of the first planning scheme, and the center of urban drainage water conservancy is set at the low point of the first planning scheme.

[0028] During matching, a green belt is matched to a unique high point, but a high point may correspond to multiple green belts. The same applies to low points. Therefore, in the judgment, the height of each high point in the set of high points must be higher than the first basic value of at least one corresponding green belt in order to be considered as the target set of high points. Similarly, the height of each low point in the set of low points must be lower than the second basic value of at least one corresponding green belt in order to be considered as the target set of low points. This is because urban water storage facilities will be built at high points, urban drainage facilities will be built at low points, and urban water transmission facilities will be built between green belts and their corresponding high points, and between green belts and their corresponding low points. Therefore, the height difference must meet the above conditions. Otherwise, water transmission may not be possible or the sewer system may be underutilized. Underutilization means that only the water in the upper layer of the sewer flows in the required direction due to gravity caused by the height difference.

[0029] Reference Figure 7 As shown, the process of forming the second planning scheme corresponding to the first planning scheme includes the following steps: At least one reference point is uniformly selected within the feature region to form at least one reference point sequence, which is composed of several of the at least one reference point; Based on length and water flow, the first connection path between the green belt and its corresponding high point in the first planning scheme is obtained through analysis. Based on length and water flow, the second connection path between the green belt and its corresponding low point in the first planning scheme is obtained through analysis. The first and second connection paths are combined to form a second planning scheme. During construction, the excavation of urban water transmission channels is carried out according to the trajectories of the first and second connection paths in the second planning scheme.

[0030] Once the first planning scheme is determined, it is only necessary to determine the urban water transmission system used for connection. For example, when constructing an urban water transmission system between a green belt and the corresponding high point, a straight connection is usually the most ideal. However, water flows from high to low, and a straight path may not meet this condition. The path may suddenly become higher at some point along the way, and the urban water transmission system built using this path will not be able to meet the transmission requirements. Therefore, in this scheme, the path is redesigned to ensure that the height of the earlier points in the path is higher than the height of the later points. At the same time, under this condition, the shortest length principle is used for selection, thereby obtaining a second planning scheme that meets the requirements.

[0031] Here, a high point of terrain may correspond to at least one green belt. Therefore, for each high point of terrain corresponding to a green belt, a first connection path is generated between the two. The high point of terrain corresponding to the green belt in the first planning scheme is unique. Therefore, when describing it, we use the green belt and its corresponding high point of terrain to avoid misunderstanding. The same treatment applies to the case of low points of terrain.

[0032] Reference Figure 8 As shown, the analysis reveals that the first connection path between the green belt and its corresponding high point in the first planning scheme includes the following steps: The green belt is added to the end of the benchmark sequence, and the corresponding high point of the green belt is added to the beginning of the benchmark sequence to obtain the first preliminary sequence. All items in the first preliminary sequence are recorded as the first point. If the height of the first point in the first preliminary sequence is greater than that of the first point in the second preliminary sequence, then the first preliminary sequence is taken as the first initial sequence. The length of the first initial sequence is obtained by summing the distances between adjacent first points in the first initial sequence. The shortest initial sequence is used as the first target sequence; The path formed by sequentially connecting the first points in the first target sequence is used as the first connection path between the green belt at the end of the first target sequence and its corresponding high point.

[0033] Here, since the names of the items in the first preliminary sequence are different, for the sake of the following description, their names are uniformly processed and all are recorded as the first point. The second point is generated for a similar purpose.

[0034] Reference Figure 9 As shown, the analysis reveals that the second connection path between the green belt and its corresponding low point in the first planning scheme includes the following steps: The green belt is added to the beginning of the benchmark sequence, and the corresponding low point is added to the end of the benchmark sequence to obtain the second preliminary sequence. All items in the second preliminary sequence are recorded as the second point. If the height of the second point that is ranked earlier in the second preliminary sequence is greater than that of the second point that is ranked later, then the second preliminary sequence is taken as the second initial sequence. The length of the second initial sequence is obtained by summing the distances between adjacent second points in the second initial sequence. The shortest initial sequence is used as the second target sequence; The path formed by sequentially connecting the second points in the second target sequence will be used as the second connection path between the green belt at the beginning of the second target sequence and its corresponding low point.

[0035] Reference Figure 10 As shown, calculating the operational difficulty value of the third planning scheme based on the operational effort index includes the following steps: The distribution blocks through which urban water storage conservancy projects are carried in the third planning scheme are taken as the first distribution block, and the excavation depth of urban water storage conservancy projects is taken as the weight of the first distribution block. The distribution blocks through which urban drainage water conservancy projects in the third planning scheme pass are designated as the second distribution block, and the excavation depth of urban drainage water conservancy projects is designated as the weight of the second distribution block. The distribution blocks through which urban water transmission channels pass in the third planning scheme are designated as the third distribution block, and the excavation depth of urban water transmission channels is designated as the weight of the third distribution block. The operational difficulty index of the first, second, and third distribution blocks is multiplied by their corresponding weights and then summed to obtain the operational difficulty value of the third planning scheme.

[0036] Since there are multiple first planning schemes, multiple third planning schemes will be formed, thus requiring further screening. The screening is mainly based on the excavation difficulty. Since the distribution blocks are very small areas, once they are passed by the water conservancy facilities in the third planning scheme, they can be approximately considered to be included as a whole, and the resulting error can be ignored. Here, the area of ​​the distribution blocks at the ground surface is consistent. There are two factors that affect the excavation difficulty: the operational effort index of the distribution block and the excavation depth of the distribution block. Thus, the operational difficulty value of the third planning scheme can be obtained by combining the results. This actually implicitly includes the length of urban water transmission, because the longer it is, the more third-party distribution blocks are involved, and the greater the resulting operational difficulty value.

[0037] Furthermore, this solution also proposes a storage medium on which a computer-readable program is stored. When the computer-readable program is invoked, it executes the aforementioned intelligent decision support system for multi-source data fusion in urban water conservancy projects.

[0038] It is understandable that the storage medium can be a magnetic medium, such as a floppy disk, hard disk, or magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid-state drive (SSD).

[0039] In summary, the advantages of this invention are as follows: by classifying the urban water conservancy projects to be repaired, forming characteristic areas including green belts, obtaining the operational effort index of the distribution blocks, and calculating the operational difficulty value of the third planning scheme, the first and second planning schemes can be generated based on the relative positions of the green belts. During the scheme generation, the location of the water conservancy project is set according to its purpose attributes to ensure that it can drain water or replenish water resources for the green belt. At the same time, the location settings are further screened to ensure that the amount of construction work is relatively small. Considering the excavation difficulty, the scheme with the least construction difficulty is selected. Furthermore, the soil excavation difficulty, excavation length, and relative positional relationship between the water conservancy project and the green belt can be integrated to ensure the rationality of the planning scheme designed thereby.

[0040] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. An intelligent decision support system for urban waterworks multi-source data fusion, characterized in that, The utility model relates to a kind of urban water conservancy planning method, including: Water conservancy classification module, at least one water conservancy to be repaired city is obtained, according to the use attribute of water conservancy to be repaired city, water conservancy to be repaired city is classified, and city storage water conservancy, city drainage water conservancy and city transmission water conservancy are obtained; Region identification module, at least one green belt is obtained, and the characteristic region containing green belt is formed; Point recognition module, at least one low point and at least one high point are obtained in the analysis in characteristic region; Index calculation module, characteristic region is evenly segmented into at least one distribution block, the difficulty of soil excavation in distribution block is analyzed, and the work effort index of distribution block is obtained; Scheme formation module, at least one first planning scheme is formed based on low point and high point, and the first planning scheme is the planning scheme of city storage water conservancy and city drainage water conservancy, the second planning scheme corresponding to the first planning scheme is formed, and the second planning scheme is the planning scheme of city transmission water conservancy; Scheme determination module, the first planning scheme and the second planning scheme corresponding to it are merged into third planning scheme, the work difficulty value of third planning scheme is calculated according to work effort index, and the third planning scheme with minimum work difficulty value is selected as target planning scheme. 2.The intelligent decision support system for multi-source data fusion of urban water conservancy projects of claim 1, wherein, The water conservancy to be repaired city is classified according to the use attribute of water conservancy to be repaired city, including the following steps: If water conservancy to be repaired city is not sewer and water resource is supplemented to green belt in drought period, water conservancy to be repaired city is used as city storage water conservancy; If water conservancy to be repaired city is not sewer and receives water drained by green belt in wet period, water conservancy to be repaired city is used as city drainage water conservancy; If water conservancy to be repaired city is sewer and is connected between city storage water conservancy, city drainage water conservancy or green belt, water conservancy to be repaired city is used as city transmission water conservancy.

3. The intelligent decision support system for multi-source data fusion of urban water conservancy projects according to claim 2, characterized in that, The characteristic region containing green belt is formed, including the following steps: The center of at least one green belt is identified respectively, the average coordinates of the center of at least one green belt are obtained, and the position of average coordinates is used as characteristic point; The characteristic circle is made with characteristic point as center, and it is satisfied that characteristic circle contains all green belts.

4. The intelligent decision support system for multi-source data fusion of urban water conservancy projects according to claim 3, characterized in that, In the characteristic region, at least one low point and at least one high point are obtained by analysis, including the following steps: The highest water level allowed by crops in normal growth in green belt is obtained as reference height of green belt, and the reference height is measured based on sea level; The reference height of green belt is averaged to obtain first height, and the height of ground surface of green belt is averaged to obtain second height; The excavation depth of city storage water conservancy is obtained, and the excavation depth of city storage water conservancy is superimposed with second height to obtain high value; The excavation depth of city transmission water conservancy is obtained, and first height minus the excavation depth of city transmission water conservancy to obtain low value; At least one identification point is evenly taken in characteristic region, if the height of identification point is lower than low value, identification point is used as low point, if the height of identification point is higher than high value, identification point is used as high point.

5. The intelligent decision support system for multi-source data fusion of urban water conservancy projects according to claim 4, characterized in that, The analysis on the soil excavation difficulty in the distribution block comprises the following steps: Obtain the sample soil, measure the specific gravity of the rock contained in the sample soil to obtain a rock reference content, and measure the specific gravity of the water contained in the sample soil to obtain a water reference content; Fill the sample soil into a square space, and use a digging device to dig the sample soil, and the power consumed by the digging is taken as a first power value; After the rock in the sample soil is removed, a sample corrected soil is obtained, the sample corrected soil is filled into a square space, and the sample corrected soil is dug using a digging device, and the power consumed by the digging is taken as a second power value; The first power value is subtracted from the second power value to obtain a third power value; The second power value is multiplied by the water reference content to obtain a water constant, and the third power value is divided by the rock reference content to obtain a rock constant; The specific gravity of the rock contained in the soil in the distribution block is taken as an actual rock content, and the specific gravity of the water contained in the soil in the distribution block is taken as an actual water content; The operation labor index of the distribution block is calculated using a comprehensive formula; The comprehensive formula is as follows: ， Wherein, A is the operation labor index of the distribution block, B is the rock constant, D is the water constant, b is the actual rock content, and d is the actual water content.

6. The intelligent decision support system for multi-source data fusion of urban water conservancy projects of claim 5, wherein, The formation of at least one first planning scheme based on the low points and the high points comprises the following steps: At least one high point set is formed, the high point set is composed of high points, and the number of elements in the high point set is equal to the number of city water storage facilities; At least one low point set is formed, the low point set is composed of low points, and the number of elements in the low point set is equal to the number of city drainage facilities; The height of the ground surface of the green belt is superimposed on the digging depth of the city water storage facility to obtain a first basic value of the green belt; The reference height of the green belt is subtracted by the digging depth of the city water transmission facility to obtain a second basic value of the green belt; The green belt is matched to the high point in the high point set that is closest to the green belt, if the height of the high point in the high point set is higher than the first basic value of the corresponding green belt, the high point set is taken as a target high point set; The green belt is matched to the low point in the low point set that is closest to the green belt, if the height of the low point in the low point set is lower than the second basic value of the corresponding green belt, the low point set is taken as a target low point set; The target high point set and the target low point set are randomly combined to obtain at least one first planning scheme, and during construction, the center of the city water storage facility is arranged at the high point in the first planning scheme, and the center of the city drainage facility is arranged at the low point in the first planning scheme.

7. The intelligent decision support system for multi-source data fusion of urban water conservancy projects according to claim 6, characterized in that, The formation of a second planning scheme corresponding to the first planning scheme comprises the following steps: Uniformly take at least one reference point in the feature area to form at least one reference point sequence, and the reference point sequence is composed of several reference points; Based on the length and the water flow, a first connection path between the green belt and the corresponding high point in the first planning scheme is analyzed and obtained. Based on the length and the water flow, a second connecting path between the green belt and the corresponding low point in the first planning scheme is analyzed; The first connecting path and the second connecting path are summarized to form a second planning scheme, and the urban transmission water conservancy is excavated according to the trajectories of the first connecting path and the second connecting path in the second planning scheme.

8. The intelligent decision support system for multi-source data fusion of urban water conservancy projects according to claim 7, characterized in that, The analysis of the first connecting path between the green belt and the corresponding high point in the first planning scheme includes the following steps: The green belt is supplemented into the end of the reference point sequence, and the corresponding high point of the green belt is supplemented into the beginning of the reference point sequence to obtain a first preliminary sequence, and the items in the first preliminary sequence are all recorded as first point positions; If the height of the first point position arranged in the front of the first preliminary sequence is greater than that of the first point position arranged in the rear, the first preliminary sequence is taken as a first initial sequence; The distance between adjacent first point positions in the first initial sequence is accumulated to obtain the length of the first initial sequence; The first initial sequence with the shortest length is taken as a first target sequence; The path formed by sequentially connecting the first point positions in the first target sequence is taken as the first connecting path between the green belt at the end of the first target sequence and the corresponding high point.

9. The intelligent decision support system for multi-source data fusion of urban water conservancy projects according to claim 8, characterized in that, The analysis of the second connecting path between the green belt and the corresponding low point in the first planning scheme includes the following steps: The green belt is supplemented into the beginning of the reference point sequence, and the corresponding low point of the green belt is supplemented into the end of the reference point sequence to obtain a second preliminary sequence, and the items in the second preliminary sequence are all recorded as second point positions; If the height of the second point position arranged in the front of the second preliminary sequence is greater than that of the second point position arranged in the rear, the second preliminary sequence is taken as a second initial sequence; The distance between adjacent second point positions in the second initial sequence is accumulated to obtain the length of the second initial sequence; The second initial sequence with the shortest length is taken as a second target sequence; The path formed by sequentially connecting the second point positions in the second target sequence is taken as the second connecting path between the green belt at the beginning of the second target sequence and the corresponding low point.

10. The intelligent decision support system for multi-source data fusion of urban water conservancy projects of claim 9, wherein, The calculation of the operation difficulty value of the third planning scheme according to the operation effort index includes the following steps: The distribution block through which the urban storage water conservancy in the third planning scheme passes is taken as a first distribution block, and the excavation depth of the urban storage water conservancy is taken as the weight of the first distribution block; The distribution block through which the urban drainage water conservancy in the third planning scheme passes is taken as a second distribution block, and the excavation depth of the urban drainage water conservancy is taken as the weight of the second distribution block; The distribution block through which the urban transmission water conservancy in the third planning scheme passes is taken as a third distribution block, and the excavation depth of the urban transmission water conservancy is taken as the weight of the third distribution block; The operation effort indexes of the first distribution block, the second distribution block and the third distribution block are multiplied by the corresponding weights respectively and then accumulated to obtain the operation difficulty value of the third planning scheme.

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