Intelligent water affair electronic map construction method and electronic map position matching method

Abstract

The invention relates to the technical field of water affair, and discloses an intelligent water affair electronic map construction method and an electronic map position matching method, and the electronic map construction method comprises the following steps: collecting current pipe network information and regional water transfer information; generating structural data from the collected current pipe network information and regional water transfer information; the structural data are input into a cross-regional water transfer model and a pipeline modification model, an output layer in the cross-regional water transfer model outputs a result representing a cross-regional water transfer strategy, and an output layer in the pipeline modification model outputs a result representing a pipe network modification strategy. In case of drought and water supply interruption emergencies, emergency scheduling is quickly started through a model calling plug-in, a model analysis result is utilized, an emergency water transfer scheme is formulated, key water demands are guaranteed, water quality and water quantity demands of different water areas are given, an optimal water conveying pipeline path is selected, emergency response time is shortened, and waste of water transfer resources is avoided.

Description

Technical Field

[0001] The present invention relates to the field of water affairs, and more specifically, to a method for constructing a smart water affairs electronic map and a method for matching electronic map positions. Background Art

[0002] As an emerging water resource information management tool, water electronic maps play an important role in assisting decision-making when emergencies such as droughts and water supply interruptions occur, leading to an imbalance between regional supply and demand and initiating emergency dispatch processes.

[0003] In the process of cross-regional water transfer, some old pipeline facilities will have limited water transfer capacity. Long-distance and large-flow water transfer may cause pipeline pressure. At the same time, many water-using areas will have different water quality requirements and water volume demands. Traditional water transfer through the shortest pipeline will not meet the requirements of the water-using areas, but will instead cause waste of resources and reduce water transfer efficiency. Summary of the invention

[0004] The present invention provides a method for constructing a smart water affairs electronic map and a method for matching electronic map positions to solve technical problems in related technologies.

[0005] The present invention provides a method for constructing a smart water affairs electronic map, comprising the following steps:

[0006] Step 100, collecting current pipe network information and regional water transfer information;

[0007] Step 200, generating structural data from the collected current pipe network information and regional water transfer information;

[0008] Step 300, inputting the structural data into the inter-regional water transfer model and the pipeline transformation model respectively, the output layer output in the inter-regional water transfer model represents the result of the inter-regional water transfer strategy, and the output layer output in the pipeline transformation model represents the result of the pipeline network transformation strategy;

[0009] The inter-regional water transfer strategy refers to the water pipeline route from the water source area to the water use area, and the water source for inter-regional water transfer through the water pipeline route meets the water quality information and water use standards; the water pipeline route includes a number of pipelines, pumping stations and water treatment facilities; the pipelines, pumping stations and water treatment facilities on the water pipeline route are continuous, connecting the water source area to the water use area;

[0010] The pipeline network transformation strategy refers to the transformation of some pipelines, or the demolition and construction of pump stations and water treatment facilities on the basis of the existing pipeline network. When transferring water across regions, the water sources output by the pipelines used for water transmission all meet the water quality information and water use standards on the basis of the highest water transfer efficiency. The pipeline transformation includes changes in the laying location of the pipeline, changes in the material of the pipeline, the demolition and construction of the pipeline, and the replacement of pipelines with a short service life.

[0011] Step 400, encapsulate the above-mentioned cross-regional water transfer model and pipeline transformation model into services or components, develop a model calling interface, and realize data exchange and functional interaction between the model and the water affairs electronic map;

[0012] When emergencies such as drought and water supply interruption occur, resulting in an imbalance between regional supply and demand, the emergency dispatch process is initiated, and a model call plug-in is developed on the electronic map. Users can input parameters through the plug-in and call the model for analysis;

[0013] For the cross-regional water transfer model, the supply and demand balance, water transfer path and flow information of each region can be displayed on the map. For the pipeline transformation model, the health status of the pipeline, transformation priority and construction plan information can be displayed on the map.

[0014] Furthermore, the current pipe network information includes the topological structure of the existing pipe network, pump station information, water treatment facility information, pipe location information, pipe diameter information, pipe pressure information, pipe service life information, and pipe material information;

[0015] Regional water transfer information includes real-time water supply and demand data for each region, water quality testing for each region, water use standard requirements for each region, geographical location information of water source areas, and geographical location information of water use areas.

[0016] Further, based on the sorting of the regional water transfer information, univariate linear sequence data is obtained, the univariate linear sequence data includes n data items sorted by time, and the t-th data item represents the univariate plane layout data generated by the regional water transfer information collected at the t-th moment;

[0017] The unary plane layout data includes a unary data matrix and a unary relationship matrix. A unary unit of the unary data matrix represents the regional water transfer information of an independent object. The independent object includes a water use area, water source demand, water quality information, water use standards, and water source area. A unary unit of the unary data matrix only contains the regional water transfer information of the independent object it represents.

[0018] The element in the ith row and jth column of the unary relationship matrix represents the association between the ith unary unit of the unary data matrix and the independent object represented by the jth unary unit. If there is an association, the value of this element of the unary relationship matrix is ​​1, otherwise it is 0;

[0019] The relationship between water use areas means that the water use areas are related to all water source areas, the water use areas are related to their required water source demand and water use standards, and the water use areas connected to the same pipe network are related;

[0020] The association between water source areas means that the water source areas are associated with their corresponding water quality information, and the water source areas connected to the same pipe network are associated with each other;

[0021] Generate binary plane layout data based on current pipe network information, the binary plane layout data includes a binary data matrix and a binary relationship matrix, a binary unit of the binary data matrix represents a linear sequence data of an independent object, the independent object includes a pipe network, a pipeline, a water use area, a pump station, and a water treatment facility, and a binary unit of the binary data matrix only contains the current pipe network information of the independent object it represents;

[0022] The element in the i-th row and j-th column of the binary relationship matrix represents the association between the i-th binary unit of the binary data matrix and the independent object represented by the j-th binary unit. If there is an association, the value of this element of the binary relationship matrix is ​​1, otherwise it is 0;

[0023] The relationship between pipelines means that: there is a relationship between all pipelines included in the pipeline network, between pipelines in the same water use area, between pipelines connected to the same pump station, and between pipelines connected to the same water treatment facility.

[0024] The relationship between pipelines and water-using areas, pumping stations, and water treatment facilities means that there is a relationship between water-using areas and the pipelines used for their water supply, and the pipelines are related to the corresponding pumping stations and water treatment facilities;

[0025] The association between water use areas and pumping stations and water treatment facilities means that water use areas are associated with their corresponding pumping stations and water treatment facilities;

[0026] The pipeline is also associated with its own pressure information, service life information, and material information;

[0027] The binary linear sequence data includes n data items sorted by time, and the tth data item represents the current pipe network information collected at the tth moment.

[0028] Further, the one-element plane layout data is input into the cross-regional water transfer model, the cross-regional water transfer model includes a first intermediate layer, a second intermediate layer and a first output layer, the one-element plane layout data is input into the first intermediate layer, the one-element intermediate representation data is output to the second intermediate layer, the second intermediate layer outputs the two-element intermediate representation data to the first output layer, and the first output layer outputs the result representing the cross-regional water transfer strategy;

[0029] The binary linear sequence data is input into the pipeline transformation model, which includes a third intermediate layer, a fourth intermediate layer, a fifth intermediate layer, a first intermediate fusion layer and a second output layer. The binary linear sequence data is input into the pipeline transformation model, and the third intermediate representation data is output to the first intermediate fusion layer. The first output layer outputs the result representing the cross-regional water transfer strategy and inputs it into the fourth intermediate layer. The fourth intermediate representation data is output to the first intermediate fusion layer. The first intermediate fusion layer outputs the fusion representation data to the second output layer. The second output layer outputs the result representing the pipeline network transformation strategy.

[0030] The present invention also proposes an electronic map location matching method, which matches the electronic map constructed by the aforementioned smart water affairs electronic map construction method, comprising the following steps:

[0031] S1: Start the emergency dispatch process, call the plug-in on the electronic map, input parameters through the plug-in, and call the cross-regional water transfer model and pipe network transformation model for analysis;

[0032] S2: The cross-regional water transfer model displays the supply and demand balance, water transfer path and flow information of each region on the map, matches the location information of pipelines, pumping stations and water treatment facilities in the pipe network topology information on the electronic map, and generates the water pipeline path from the water source area to the water use area;

[0033] S3: The pipeline renovation model displays the health status, renovation priority, and construction plan information of the pipeline on the electronic map, matches the location information of the pipelines, pumping stations, and water treatment facilities that need to be renovated in the pipeline network topology information on the electronic map, and provides an execution plan for subsequent on-site pipeline network renovation operations.

[0034] The present invention also provides a storage medium storing non-temporary computer-readable instructions for executing one or more steps in the aforementioned electronic map location matching method.

[0035] The beneficial effects of the present invention are:

[0036] The present invention can quickly start emergency dispatch by calling the model plug-in in the event of emergencies such as drought and water supply interruption, and use the model analysis results to formulate a scientific emergency water diversion plan to maximize the guarantee of key water demand. At the same time, it provides the water quality and water quantity requirements of different water use areas, selects the best water delivery pipeline path that meets water quality requirements and water delivery efficiency, shortens the emergency response time, and avoids the waste of water diversion resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a flow chart of a method for constructing a smart water affairs electronic map proposed by the present invention;

[0038] Figure 2It is a structural block diagram of a smart water affairs electronic map construction system proposed by the present invention.

[0039] In the figure: 101, data acquisition module; 102, data processing module; 103, cross-regional water transfer model module; 104, pipeline transformation model module; 105, model encapsulation and calling module. DETAILED DESCRIPTION

[0040] The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that the discussion of these embodiments is only to enable those skilled in the art to better understand and implement the subject matter described herein, and the functions and arrangements of the elements discussed may be changed without departing from the scope of protection of the contents of this specification. Each example may omit, replace or add various processes or components as needed. In addition, the features described relative to some examples may also be combined in other examples.

[0041] like Figure 1 As shown, a method for constructing a smart water affairs electronic map and a method for matching electronic map positions include the following steps:

[0042] Step 100, collecting current pipe network information and regional water transfer information;

[0043] The current pipe network information includes the topological structure of the existing pipe network, pump station information, water treatment facility information, pipe location information, pipe diameter information, pipe pressure information, pipe service life information, and pipe material information;

[0044] Regional water transfer information includes real-time water supply and demand data for each region, water quality monitoring for each region, water use standard requirements for each region, geographical location information of water source areas, and geographical location information of water use areas;

[0045] Step 200, generating structural data from the collected current pipe network information and regional water transfer information;

[0046] Based on the sorting of regional water transfer information, univariate linear sequence data is obtained, the univariate linear sequence data includes n data items sorted by time, and the t-th data item represents the univariate plane layout data generated by the regional water transfer information collected at the t-th time;

[0047] The unary plane layout data includes a unary data matrix and a unary relationship matrix. A unary unit of the unary data matrix represents the regional water transfer information of an independent object. The independent object includes a water use area, water source demand, water quality information, water use standards, and water source area. A unary unit of the unary data matrix only contains the regional water transfer information of the independent object it represents.

[0048] The element in the ith row and jth column of the unary relationship matrix represents the association between the ith unary unit of the unary data matrix and the independent object represented by the jth unary unit. If there is an association, the value of this element of the unary relationship matrix is ​​1, otherwise it is 0;

[0049] The relationship between water use areas means that the water use areas are related to all water source areas, the water use areas are related to their required water source demand and water use standards, and the water use areas connected to the same pipe network are related;

[0050] The association between water source areas means that the water source areas are associated with their corresponding water quality information, and the water source areas connected to the same pipe network are associated with each other;

[0051] Generate binary plane layout data based on current pipe network information, the binary plane layout data includes a binary data matrix and a binary relationship matrix, a binary unit of the binary data matrix represents a linear sequence data of an independent object, the independent object includes a pipe network, a pipeline, a water use area, a pump station, and a water treatment facility, and a binary unit of the binary data matrix only contains the current pipe network information of the independent object it represents;

[0052] The element in the i-th row and j-th column of the binary relationship matrix represents the association between the i-th binary unit of the binary data matrix and the independent object represented by the j-th binary unit. If there is an association, the value of this element of the binary relationship matrix is ​​1, otherwise it is 0;

[0053] The relationship between pipelines means that: there is a relationship between all pipelines included in the pipeline network, between pipelines in the same water use area, between pipelines connected to the same pump station, and between pipelines connected to the same water treatment facility.

[0054] The relationship between pipelines and water-using areas, pumping stations, and water treatment facilities means that there is a relationship between water-using areas and the pipelines used for their water supply, and the pipelines are related to the corresponding pumping stations and water treatment facilities;

[0055] The association between water use areas and pumping stations and water treatment facilities means that water use areas are associated with their corresponding pumping stations and water treatment facilities;

[0056] The pipeline is also associated with the pipeline's own pressure information, service life information, and material information.

[0057] The binary linear sequence data includes n data items sorted by time, and the tth data item represents the current pipe network information collected at the tth moment;

[0058] Step 300, inputting the unary plane layout data into the cross-regional water transfer model, the cross-regional water transfer model includes a first intermediate layer, a second intermediate layer and a first output layer, the unary plane layout data is input into the first intermediate layer, the unary intermediate representation data is output to the second intermediate layer, the second intermediate layer outputs the binary intermediate representation data to the first output layer, and the first output layer outputs the result representing the cross-regional water transfer strategy;

[0059] The inter-regional water transfer strategy refers to the water pipeline route from the water source area to the water use area, and the water source for inter-regional water transfer through the water pipeline route meets the water quality information and water use standards;

[0060] The water pipeline route includes several pipelines, pumping stations and water treatment facilities; the pipelines, pumping stations and water treatment facilities on the water pipeline route are continuous, connecting the water source area to the water use area;

[0061] Input the binary linear sequence data into the pipeline transformation model, which includes a third intermediate layer, a fourth intermediate layer, a fifth intermediate layer, a first intermediate fusion layer, and a second output layer. Input the binary linear sequence data into the pipeline transformation model, output the third intermediate representation data to the first intermediate fusion layer, output the first output layer to represent the result of the cross-regional water transfer strategy, input it into the fourth intermediate layer, output the fourth intermediate representation data to the first intermediate fusion layer, the first intermediate fusion layer outputs the fusion representation data to the second output layer, and the second output layer outputs the result of the pipeline network transformation strategy;

[0062] The pipeline network transformation strategy refers to the transformation of some pipelines, or the demolition and construction of pumping stations and water treatment facilities on the basis of the existing pipeline network, so that when cross-regional water transfer is required in the future, the water source output by the pipeline for water transfer will meet the water quality information and water use standards on the basis of the highest water transfer efficiency;

[0063] Pipeline renovation includes changes in pipeline laying locations, changes in pipeline materials, pipeline demolition and reconstruction, and replacement of pipelines with a short service life;

[0064] In one embodiment of the present invention, the above-mentioned cross-regional water transfer model and pipeline transformation model are encapsulated as services or components, and a model calling interface is developed to realize data exchange and functional interaction between the model and the water affairs electronic map; when emergencies such as drought and water supply interruption occur, resulting in an imbalance between regional supply and demand, the emergency dispatch process is initiated, and a model calling plug-in is developed on the electronic map. Users can input parameters through the plug-in and call the model for analysis.

[0065] It should be noted that there are significant differences in water quality and supply and demand between regions. The existing old pipeline network has problems such as insufficient water transmission capacity and water pollution. The input and output data of the model are visualized on an electronic map. For cross-regional water transfer models, the supply and demand balance of each region, water transfer routes and flow rates can be displayed on the map. For pipeline renovation models, the health status of the pipeline, renovation priorities, construction plans and other information can be displayed on the map.

[0066] In one embodiment of the present invention, the calculation formula of the first intermediate layer is as follows:

[0067] ;

[0068] ;

[0069] ;

[0070] in The unary intermediate representation data of the v-th unary cell of the unary data matrix representing the t-th data item in the unary linear sequence data, and The regional water transfer information of the independent object represented by the vth and qth unary units of the unary data matrix of the tth data item in the unary linear sequence data is represented respectively, represents the attention coefficients of the vth and qth unary units of the unary data matrix of the tth data item in the unary linear sequence data, represents the attention coefficients of the vth and sth unary units of the unary data matrix of the tth data item in the unary linear sequence data, represents the normalized attention coefficients of the vth and qth unary cells of the unary data matrix for the tth data item in the unary linear sequence data, represents the set of cells of the unary data matrix that are associated with the v-th unary cell of the unary data matrix for the t-th data item in the unary linear sequence data, represents an exponential function with a natural constant as base, represents the trainable attention vector parameter, CONCAT represents the concatenation operation, represents transpose, represents the two-dimensional recognition weight parameter of the first intermediate layer, and LeakyReLU is the LeakyReLU activation function.

[0071] In one embodiment of the present invention, the calculation formula of the second intermediate layer is as follows:

[0072] ;

[0073] ;

[0074] ;

[0075] in represents the t-th binary intermediate representation data, represents the t-1th binary intermediate representation data, and denote the first and second intermediate features respectively, = , represents the set of all data items of a univariate linear sequence data, The unary intermediate representation data of the q-th unary cell of the unary data matrix representing the t-th data item in the unary linear sequence data, and is the serial recognition weight matrix of the second intermediate layer, is the serial recognition bias parameter of the second intermediate layer, Represents the Sigmoid function.

[0076] In one embodiment of the present invention, the calculation formula of the first output layer is as follows:

[0077] ;

[0078] in represents the first output vector, and its cth component value represents the probability value of the cth strategy. The strategy with the largest probability value is selected as the output. The strategy group contains all executable strategies. A strategy includes a group of pipelines, pumping stations and water treatment facilities in the pipeline network.

[0079] For more complex strategies, vector representation can be used: a strategy is represented as a vector, and the jth component of the vector represents the output of the jth usage of the pipeline, pumping station or water treatment facility. represents the t-th binary intermediate representation data, r represents the total number of data items of the univariate linear sequence data, is the weight parameter in the first output layer, is the bias parameter in the first output layer, Represents the sigmoid function.

[0080] In one embodiment of the present invention, the calculation formula of the third intermediate layer is as follows:

[0081] ;

[0082] ;

[0083] ;

[0084] ;

[0085] ;

[0086] ;

[0087] ;

[0088] ;

[0089] ;

[0090] in, , , , , , , , represents the first, second, third, fourth, fifth, sixth, seventh, and eighth weight parameters in the third intermediate layer, , , , , , represents the first, second, third, fourth, fifth, and sixth bias parameters in the third intermediate layer, represents the dot product, , , , , , Respectively represent the first, second, third, fourth, fifth, and sixth intermediate states in the third intermediate layer, represents the tth data item of the binary linear sequence data corresponding to the fth binary unit, and They represent the t-th and t+1-th positive intermediate representation data of the f-th binary unit, respectively. n≥t≥1, n represents the total number of data items of the binary linear sequence data of the f-th binary unit. When t=1, , when t=n, , represents the nth data item of the binary linear sequence data corresponding to the fth binary unit, and Respectively represent the t-th and t-1-th reverse intermediate representation data, The t-th third-order intermediate representation data of the f-th binary unit is represented. is the tanh function, Represents the Sigmoid function.

[0091] In one embodiment of the present invention, the calculation formula of the fourth intermediate layer is as follows:

[0092] ;

[0093] in, represents the fourth intermediate representation data, The output of the first output layer represents the result of the cross-regional water transfer strategy. represents the convolution function;

[0094] In one embodiment of the present invention, the calculation formula of the first intermediate fusion layer is as follows:

[0095] ;

[0096] in, represents the first fusion representation data of the f-th binary unit, Indicates the nth third intermediate representation data of the fth binary unit, represents the fusion function (concatenation function or summation function), represents the summed weight matrix of the first intermediate fusion layer, Represents the summed bias parameters of the first intermediate fusion layer.

[0097] In one embodiment of the present invention, the calculation formula of the fifth intermediate layer is as follows:

[0098] ;

[0099] ;

[0100] Where X represents the input feature matrix, and its fth row vector equal , U represents the intermediate representation matrix, a row vector of which represents the fifth intermediate representation data of a unit of the binary data matrix, H represents the intermediate recognition representation, represents the sum of the binary relationship matrix and the identity matrix, Indicated degree matrix, represents the negative 1 / 2 power, represents the two-dimensional recognition weight parameter in the fifth intermediate layer, express Activation function.

[0101] In one embodiment of the present invention, the calculation formula of the second output layer is as follows:

[0102] ;

[0103] in represents the second output vector, and its hth component value represents the probability value of the hth strategy. The strategy with the largest probability value is selected as the output. The strategy group contains all executable strategies. A strategy includes the transformation requirements of a group of pipelines, pumping stations, and water treatment facilities in the pipeline network. The fifth intermediate representation data of the oth unit of the binary data matrix, P represents the set of all the units of the binary data matrix, is the weight parameter of the second output layer, is the bias parameter of the second output layer, Represents the sigmoid function.

[0104] For more complex strategies, vector representation can be used: one strategy is represented by a vector, and the kth component of the vector represents the state of the kth pipeline, pumping station, or water treatment facility that needs to be modified.

[0105] In one embodiment of the present invention, the steps of training the cross-regional water transfer model include:

[0106] Step 301, initializing the parameters of the cross-regional water transfer model;

[0107] Step 302: Observe the regional water transfer information at time e , the strategy executed at time e , Regional water transfer information at time e+1 , execution strategy Rewards ;

[0108] Step 303, then calculate the policy error:

[0109] ;

[0110] in represents the policy error at time e, represents the discount factor, , Represents the input of the cross-regional water transfer model The maximum probability value in the first output vector output when Represents the input of the cross-regional water transfer model The first output vector corresponding to the strategy The probability value of

[0111] Among the rewards The expression is as follows:

[0112] ;

[0113] Among them, D is the demand satisfaction reward:

[0114] ;

[0115] in, is the demand satisfaction rate reward of the ith region, =1 (satisfaction rate ≥ threshold t1), =-1 (satisfaction rate < t1);

[0116] C is the cost saving reward. When the total cost is less than the upper limit C max When C=1; when total cost ≥ C max When C=-1;

[0117] E is the efficiency improvement reward, when the utilization efficiency ≥ target e target When E=1, when utilization efficiency < e target When E=-1;

[0118] F is the fairness reward. When the standard deviation of the satisfaction rate is less than the threshold δ, F=1; when the standard deviation of the satisfaction rate is greater than or equal to δ, F=-1. , , , These are the first, second, third, and fourth reward weight coefficients respectively;

[0119] Step 304: Update the cross-regional water transfer model. The updated formula is as follows:

[0120] ;

[0121] , represents the step size of deep learning, Indicates delivery update;

[0122] Step 305, iterate steps 302-304 until the cross-regional water transfer model converges or the number of iterations reaches a set value. The default value of this value is 500.

[0123] In one embodiment of the present invention, the cross entropy loss function of the pipeline network transformation model is as follows:

[0124] ;

[0125] in represents the loss value, represents the total number of training samples, It is The true classification label of a training sample, with a value of 0 or 1, 1 means that the training sample needs to be transformed, and 0 means that the node does not need to be transformed. This is the first prediction of the pipeline network transformation model. The classification labels of training samples, Represents the logarithmic function with the natural constant e as the base.

[0126] like Figure 2 As shown, at least one embodiment disclosed in the present invention further provides a smart water affairs electronic map construction system, including:

[0127] Data collection module 101: responsible for collecting current pipe network information and regional water transfer information;

[0128] Data processing module 102: converting the collected data into structured data;

[0129] The cross-regional water transfer model module 103 receives the one-dimensional plan layout data as input and outputs the result representing the cross-regional water transfer strategy;

[0130] Pipeline transformation model module 104: receiving binary linear sequence data and cross-regional water transfer strategy as input, and outputting the result representing the pipeline network transformation strategy;

[0131] Model encapsulation and calling module 105: encapsulate the cross-regional water transfer model and pipeline transformation model as services or components, develop a model calling interface, and the calling interface is used for data exchange and functional interaction with the electronic map.

[0132] Based on the above-mentioned smart water electronic map construction method and system, at least one embodiment disclosed in the present invention further provides an electronic map location matching method, comprising the following steps:

[0133] S1: Start the emergency dispatch process, call the plug-in on the electronic map, input parameters through the plug-in, and call the cross-regional water transfer model and pipe network transformation model for analysis;

[0134] S2: The cross-regional water transfer model displays the supply and demand balance, water transfer path and flow information of each region on the map, matches the location information of pipelines, pumping stations and water treatment facilities in the pipe network topology information on the electronic map, and generates the water pipeline path from the water source area to the water use area;

[0135] S3: The pipeline renovation model displays the health status, renovation priority, and construction plan information of the pipeline on the electronic map, matches the location information of the pipelines, pumping stations, and water treatment facilities that need to be renovated in the pipeline network topology information on the electronic map, and provides an execution plan for subsequent on-site pipeline network renovation operations.

[0136] At least one embodiment disclosed in the present invention provides a storage medium storing non-temporary computer-readable instructions for executing one or more steps in the aforementioned smart water electronic map construction method and electronic map location matching method.

[0137] The computer program may be stored / distributed on a suitable medium, such as an optical storage medium or a solid-state medium supplied together with or as part of other hardware, but may also be distributed in other forms, such as via the Internet or other wired or wireless telecommunication systems. Any reference signs in the claims should not be construed as limiting the scope.

[0138] The above describes an embodiment of the present embodiment, but the present embodiment is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present embodiment, ordinary technicians in this field can also make many forms, all of which are protected by the present embodiment.

Claims

1. A method for constructing a smart water affairs electronic map, characterized in that: The following steps are involved: Step 100, collecting current pipe network information and regional water transfer information; Step 200, generating structural data from the collected current pipe network information and regional water transfer information; Step 300, inputting the structural data into the inter-regional water transfer model and the pipeline transformation model respectively, the output layer output in the inter-regional water transfer model represents the result of the inter-regional water transfer strategy, and the output layer output in the pipeline transformation model represents the result of the pipeline network transformation strategy; The inter-regional water transfer strategy refers to the water pipeline route from the water source area to the water use area, and the water source for inter-regional water transfer through the water pipeline route meets the water quality information and water use standards; the water pipeline route includes a number of pipelines, pumping stations and water treatment facilities; the pipelines, pumping stations and water treatment facilities on the water pipeline route are continuous, connecting the water source area to the water use area; The pipeline network transformation strategy refers to the transformation of some pipelines, or the demolition and construction of pump stations and water treatment facilities on the basis of the existing pipeline network. When transferring water across regions, the water sources output by the pipelines used for water transmission all meet the water quality information and water use standards on the basis of the highest water transfer efficiency. The pipeline transformation includes changes in the laying location of the pipeline, changes in the material of the pipeline, the demolition and construction of the pipeline, and the replacement of the pipeline. Step 400, encapsulate the above-mentioned cross-regional water transfer model and pipeline transformation model into services or components, develop a model calling interface, and realize data exchange and functional interaction between the model and the water affairs electronic map; When emergencies such as drought and water supply interruption occur, resulting in an imbalance between regional supply and demand, the emergency dispatch process is initiated, and a model calling plug-in is developed on the electronic map. Users input parameters through the plug-in and call the model for analysis.

2. A method for constructing a smart water affairs electronic map according to claim 1, characterized in that: When calling the model for analysis, for the cross-regional water transfer model, the supply and demand balance, water transfer path and flow information of each region are displayed on the map; for the pipeline transformation model, the health status of the pipeline, transformation priority, and construction plan information are displayed on the map.

3. A method for constructing a smart water affairs electronic map according to claim 2, characterized in that: The current pipe network information includes the topological structure of the existing pipe network, pump station information, water treatment facility information, pipe location information, pipe diameter information, pipe pressure information, pipe service life information, and pipe material information; Regional water transfer information includes real-time water supply and demand data for each region, water quality testing for each region, water use standard requirements for each region, geographical location information of water source areas, and geographical location information of water use areas.

4. A method for constructing a smart water affairs electronic map according to claim 3, characterized in that: Based on the sorting of regional water transfer information, univariate linear sequence data is obtained, the univariate linear sequence data includes n data items sorted by time, and the t-th data item represents the univariate plane layout data generated by the regional water transfer information collected at the t-th time; The unary plane layout data includes a unary data matrix and a unary relationship matrix. A unary unit of the unary data matrix represents the regional water transfer information of an independent object. The independent object includes a water use area, water source demand, water quality information, water use standards, and water source area. A unary unit of the unary data matrix only contains the regional water transfer information of the independent object it represents. The element in the ith row and jth column of the unary relationship matrix represents the association between the ith unary unit of the unary data matrix and the independent object represented by the jth unary unit. If there is an association, the value of this element of the unary relationship matrix is ​​1, otherwise it is 0; The relationship between water use areas means that the water use areas are related to all water source areas, the water use areas are related to their required water source demand and water use standards, and the water use areas connected to the same pipe network are related; The association between water source areas means that the water source areas are associated with their corresponding water quality information, and the water source areas connected to the same pipe network are associated with each other.

5. A method for constructing a smart water affairs electronic map according to claim 4, characterized in that: Generate binary plane layout data based on current pipe network information, the binary plane layout data includes a binary data matrix and a binary relationship matrix, a binary unit of the binary data matrix represents a linear sequence data of an independent object, the independent object includes a pipe network, a pipeline, a water use area, a pump station, and a water treatment facility, and a binary unit of the binary data matrix only contains the current pipe network information of the independent object it represents; The element in the i-th row and j-th column of the binary relationship matrix represents the association between the i-th binary unit of the binary data matrix and the independent object represented by the j-th binary unit. If there is an association, the value of this element of the binary relationship matrix is ​​1, otherwise it is 0; The relationship between pipelines means that: there is a relationship between all pipelines included in the pipeline network, between pipelines in the same water use area, between pipelines connected to the same pump station, and between pipelines connected to the same water treatment facility. The relationship between pipelines and water-using areas, pumping stations, and water treatment facilities means that there is a relationship between water-using areas and the pipelines used for their water supply, and the pipelines are related to the corresponding pumping stations and water treatment facilities; The association between water use areas and pumping stations and water treatment facilities means that water use areas are associated with their corresponding pumping stations and water treatment facilities; The pipeline is also associated with its own pressure information, service life information, and material information; The binary linear sequence data includes n data items sorted by time, and the tth data item represents the current pipe network information collected at the tth moment.

6. A method for constructing a smart water affairs electronic map according to claim 5, characterized in that: The unary plane layout data is input into the cross-regional water transfer model. The cross-regional water transfer model includes a first intermediate layer, a second intermediate layer and a first output layer. The unary plane layout data is input into the first intermediate layer, and the unary intermediate representation data is output to the second intermediate layer. The second intermediate layer outputs the binary intermediate representation data to the first output layer. The first output layer outputs the result of the cross-regional water transfer strategy.

7. A method for constructing a smart water affairs electronic map according to claim 6, characterized in that: The binary linear sequence data is input into the pipeline transformation model, which includes a third intermediate layer, a fourth intermediate layer, a fifth intermediate layer, a first intermediate fusion layer and a second output layer. The binary linear sequence data is input into the pipeline transformation model, and the third intermediate representation data is output to the first intermediate fusion layer. The first output layer outputs the result representing the cross-regional water transfer strategy and inputs it into the fourth intermediate layer. The fourth intermediate representation data is output to the first intermediate fusion layer. The first intermediate fusion layer outputs the fusion representation data to the second output layer. The second output layer outputs the result representing the pipeline network transformation strategy.

8. A method for constructing a smart water affairs electronic map according to claim 7, characterized in that: Encapsulate the cross-regional water transfer model and pipeline transformation model as services or components, develop a model calling interface, and realize data exchange and functional interaction between the model and the water affairs electronic map.

9. An electronic map location matching method, which is performed by matching an electronic map constructed by the smart water affairs electronic map construction method as claimed in any one of claims 1 to 8, characterized in that: The following steps are involved: S1: Start the emergency dispatch process, call the plug-in on the electronic map, input parameters through the plug-in, and call the cross-regional water transfer model and pipe network transformation model for analysis; S2: The cross-regional water transfer model displays the supply and demand balance, water transfer path and flow information of each region on the map, matches the location information of pipelines, pumping stations and water treatment facilities in the pipe network topology information on the electronic map, and generates the water pipeline path from the water source area to the water use area; S3: The pipeline renovation model displays the health status, renovation priority, and construction plan information of the pipeline on the electronic map, matches the location information of the pipelines, pumping stations, and water treatment facilities that need to be renovated in the pipeline network topology information on the electronic map, and provides an execution plan for subsequent on-site pipeline network renovation operations.

10. A storage medium, characterized in that: Non-temporary computer-readable instructions are stored therein for executing the steps in the electronic map location matching method as claimed in claim 9.

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