CN114880733A - Intelligent water affair hydraulic model data processing method and device - Google Patents

Intelligent water affair hydraulic model data processing method and device Download PDF

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CN114880733A
CN114880733A CN202210780935.0A CN202210780935A CN114880733A CN 114880733 A CN114880733 A CN 114880733A CN 202210780935 A CN202210780935 A CN 202210780935A CN 114880733 A CN114880733 A CN 114880733A
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CN114880733B (en
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赵振峰
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Qing Teng Electronics Technology Co ltd
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Abstract

The invention discloses a method and a device for processing intelligent water conservancy model data, wherein the method comprises the following steps: acquiring a line rule of a target water supply network and a water supply parameter of each water supply line; determining the water supply health condition corresponding to each water supply line; acquiring a map model corresponding to the target water supply network, and establishing a hydraulic model corresponding to the target water supply network according to the map model, the line rules and the water supply parameters; determining a first water supply simulation event to be simulated from a preset water supply simulation event library, and executing parameter change corresponding to the first water supply simulation event in the hydraulic model; and acquiring real-time parameter data of the hydraulic model after the first water supply simulation event is executed according to the line rule to obtain a simulation result. Therefore, the invention can perform model drilling for the occurrence of specific events so as to make a coping strategy when coping with real water supply accidents.

Description

Intelligent water affair hydraulic model data processing method and device
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for processing intelligent water conservancy hydraulic model data.
Background
Establishing hydraulic models for water supply systems can effectively integrate relevant data resources and visually display the data to help operators make decisions. As a result, more and more companies are beginning to implement more efficient water supply and water service monitoring services by means of modeling. However, most of the existing hydraulic model technologies only realize visual display of data, do not consider the data change relationship between water supply lines, and do not consider event simulation of the model to prevent and exercise the occurrence of specific events. Therefore, the prior art has defects and needs to be solved urgently.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an intelligent water conservancy model data processing method and device, which can perform model drilling for the occurrence of specific events, so as to predict water supply parameters and make a coping strategy in time when dealing with real water supply accidents in the following.
In order to solve the technical problem, the invention discloses, in a first aspect, a method for processing data of an intelligent water conservancy hydraulic model, the method comprising:
acquiring a line rule of a target water supply network and a water supply parameter of each water supply line in the target water supply network; the line rule is used for indicating a data change rule between any two water supply lines in the target water supply network, wherein the two water supply lines have a connection relationship with each other;
determining the corresponding water supply health condition of each water supply line according to a preset data evaluation algorithm and the water supply parameters;
acquiring a map model corresponding to the target water supply network, and establishing a hydraulic model corresponding to the target water supply network according to the map model, the line rules and the water supply parameters;
determining a first water supply simulation event to be simulated from a preset water supply simulation event library, and executing parameter change corresponding to the first water supply simulation event in the hydraulic model;
and acquiring real-time parameter data of the hydraulic model after the first water supply simulation event is executed according to the line rule to obtain a simulation result.
As an optional implementation manner, in the first aspect of the present invention, the method further comprises:
receiving an editing instruction sent by a user;
determining corresponding editing operation according to the editing instruction; the editing operation comprises drawing, adding, deleting and modifying line elements;
and editing the hydraulic model according to the editing operation.
As an optional implementation, in the first aspect of the present invention, after the editing the hydraulic model according to the editing operation, the method further comprises:
determining changed line elements in the edited hydraulic model;
determining a second water supply simulation event to be simulated from the water supply simulation event library according to the changed line elements, and executing parameter change corresponding to the second water supply simulation event in the hydraulic model; the event type of the second water supply simulation event is related to the line element;
and acquiring real-time parameter data of the hydraulic model after the hydraulic model executes the second water supply simulation event to obtain a simulation result.
As an alternative embodiment, in the first aspect of the present invention, the water supply parameter includes at least one of a pressure parameter, a flow rate parameter, a flow direction parameter, a hydraulic gradient parameter, a water age parameter, a water quality parameter, a valve opening parameter, and a water level parameter; and/or the line elements comprise at least one of water supply line nodes, water supply line pipelines, water supply line facilities, water supply sources, water supply valves and water supply pump stations; and/or the water supply simulation event comprises at least one of a pressure pipe bursting event, a water supply closing event, a water quality pollution event and a chemical agent adding event.
As an optional implementation manner, in the first aspect of the present invention, the method further includes:
when a first water supply accident occurs to the target water supply network, acquiring real-time water supply parameter change data of a water supply line of the target water supply network through an Internet of things sensing device of the target water supply network;
determining a first event type of the first water supply incident;
and modifying the parameter change corresponding to the water supply simulation event corresponding to the first event type in the water supply simulation event library according to the water supply parameter change data.
As an optional implementation manner, in the first aspect of the present invention, the method further includes:
determining a plurality of simulation faults in the hydraulic model according to the real-time parameter data in the simulation result and a preset parameter-fault corresponding relation;
determining an event level corresponding to the water supply simulation event corresponding to the simulation result according to a preset fault-level corresponding relation and all the simulation faults;
determining a plurality of maintenance personnel capable of maintaining the simulated faults in a preset maintenance personnel database according to the plurality of simulated faults;
calculating an optimal scheduling scheme corresponding to the plurality of simulated faults based on a preset dynamic planning algorithm, the fault information of the simulated faults and the personnel information of maintenance personnel;
and determining the optimal scheduling scheme as a maintenance scheduling scheme corresponding to the event level of the water supply simulation event corresponding to the simulation result.
As an optional implementation manner, in the first aspect of the present invention, the calculating an optimal scheduling scheme corresponding to the multiple simulated faults based on a preset dynamic planning algorithm, the fault information of the simulated faults, and the personnel information of the maintenance personnel includes:
determining the maintenance cost corresponding to each simulation fault; the maintenance cost comprises maintenance time cost, maintenance labor cost and maintenance material cost;
determining the cost of the route of any one of the maintenance personnel to the simulated fault according to the hiring area of each maintenance personnel and the fault position corresponding to each simulated fault; the trip cost comprises a trip time and a trip spending;
determining the objective function as the minimum working cost corresponding to the scheduling scheme; the scheduling scheme is a scheme for scheduling a specific maintenance person to go to maintain a specific simulated fault; the working cost is the sum of the maintenance cost and the distance cost corresponding to all the simulated faults maintained in the scheduling scheme;
and calculating an optimal scheduling scheme corresponding to the plurality of simulated faults based on a preset immune particle swarm algorithm according to the target function.
As an optional implementation manner, in the first aspect of the present invention, the method further includes:
when a second water supply accident occurs to the target water supply network, acquiring real-time water supply fault information of a water supply line of the target water supply network;
determining a second event type of the second water supply incident;
determining a target water supply simulation event corresponding to the second event type in the water supply simulation time database;
calculating the similarity between the water supply fault information and different simulated faults corresponding to different event levels of the target water supply simulated event;
determining the maintenance scheduling scheme corresponding to the event level corresponding to the simulated fault with the highest similarity as the maintenance scheduling scheme corresponding to the second water supply accident;
executing the maintenance scheduling plan to perform maintenance on the second water supply accident.
The invention discloses a second aspect of the intelligent water affairs hydraulic model data processing device, the device includes:
the data acquisition module is used for acquiring the line rule of a target water supply network and the water supply parameters of each water supply line in the target water supply network; the line rule is used for indicating a data change rule between any two water supply lines in the target water supply network, wherein the two water supply lines have a connection relationship with each other;
the data analysis module is used for determining the water supply health condition corresponding to each water supply line according to a preset data evaluation algorithm and the water supply parameters;
the model establishing module is used for acquiring a map model corresponding to the target water supply network and establishing a hydraulic model corresponding to the target water supply network according to the map model, the line rule and the water supply parameters;
the event simulation module is used for determining a first water supply simulation event to be simulated from a preset water supply simulation event library and executing parameter change corresponding to the first water supply simulation event in the hydraulic model;
and the result acquisition module is used for acquiring real-time parameter data after the hydraulic model executes the first water supply simulation event according to the line rule so as to obtain a simulation result.
As an optional implementation manner, in the second aspect of the present invention, the apparatus further includes an editing module, configured to perform the following steps:
receiving an editing instruction sent by a user;
determining corresponding editing operation according to the editing instruction; the editing operation comprises drawing, adding, deleting and modifying line elements;
and editing the hydraulic model according to the editing operation.
As an optional implementation manner, in the second aspect of the present invention, after the editing module edits the hydraulic model according to the editing operation, the apparatus further includes an editing simulation module for performing the following steps:
determining changed line elements in the edited hydraulic model;
determining a second water supply simulation event to be simulated from the water supply simulation event library according to the changed line elements, and executing parameter change corresponding to the second water supply simulation event in the hydraulic model; the event type of the second water supply simulation event is related to the line element;
and acquiring real-time parameter data of the hydraulic model after the hydraulic model executes the second water supply simulation event to obtain a simulation result.
As an alternative embodiment, in the second aspect of the present invention, the water supply parameter includes at least one of a pressure parameter, a flow rate parameter, a flow direction parameter, a hydraulic gradient parameter, a water age parameter, a water quality parameter, a valve opening parameter, and a water level parameter; and/or the line elements comprise at least one of water supply line nodes, water supply line pipelines, water supply line facilities, water supply sources, water supply valves and water supply pump stations; and/or the water supply simulation event comprises at least one of a pressure pipe bursting event, a water supply closing event, a water quality pollution event and a chemical agent adding event.
As an optional implementation manner, in the second aspect of the present invention, the apparatus further includes a simulated event setting module, configured to perform the following steps:
when a first water supply accident occurs to the target water supply network, acquiring real-time water supply parameter change data of a water supply line of the target water supply network through an Internet of things sensing device of the target water supply network;
determining a first event type of the first water supply incident;
and modifying the parameter change corresponding to the water supply simulation event corresponding to the first event type in the water supply simulation event library according to the water supply parameter change data.
As an optional implementation manner, in the second aspect of the present invention, the apparatus further includes an analog scheduling module, configured to perform the following steps:
determining a plurality of simulation faults in the hydraulic model according to the real-time parameter data in the simulation result and a preset parameter-fault corresponding relation;
determining an event level corresponding to the water supply simulation event corresponding to the simulation result according to a preset fault-level corresponding relation and all the simulation faults;
determining a plurality of maintenance personnel capable of maintaining the simulated faults in a preset maintenance personnel database according to the plurality of simulated faults;
calculating an optimal scheduling scheme corresponding to the plurality of simulated faults based on a preset dynamic planning algorithm, the fault information of the simulated faults and the personnel information of maintenance personnel;
and determining the optimal scheduling scheme as a maintenance scheduling scheme corresponding to the event level of the water supply simulation event corresponding to the simulation result.
As an optional implementation manner, in the second aspect of the present invention, the calculating, by the simulated scheduling module, an optimal scheduling scheme corresponding to the plurality of simulated faults based on a preset dynamic planning algorithm, the fault information of the simulated faults, and the personnel information of the maintenance personnel includes:
determining the maintenance cost corresponding to each simulation fault; the maintenance cost comprises maintenance time cost, maintenance labor cost and maintenance material cost;
determining the cost of the route of any one of the maintenance personnel to the simulated fault according to the hiring area of each maintenance personnel and the fault position corresponding to each simulated fault; the trip cost comprises a trip time and a trip spending;
determining the objective function as the minimum working cost corresponding to the scheduling scheme; the scheduling scheme is a scheme for scheduling a specific maintenance person to go to maintain a specific simulated fault; the working cost is the sum of the maintenance cost and the distance cost corresponding to all the simulated faults maintained in the scheduling scheme;
and calculating an optimal scheduling scheme corresponding to the plurality of simulated faults based on a preset immune particle swarm algorithm according to the target function.
As an optional implementation manner, in the second aspect of the present invention, the apparatus further includes an actual scheduling module, configured to perform the following steps:
when a second water supply accident occurs to the target water supply network, acquiring real-time water supply fault information of a water supply line of the target water supply network;
determining a second event type of the second water supply incident;
determining a target water supply simulation event corresponding to the second event type in the water supply simulation time database;
calculating the similarity between the water supply fault information and different simulated faults corresponding to different event levels of the target water supply simulated event;
determining the maintenance scheduling scheme corresponding to the event level corresponding to the simulated fault with the highest similarity as the maintenance scheduling scheme corresponding to the second water supply accident;
executing the maintenance scheduling plan to perform maintenance on the second water supply accident.
The invention discloses another intelligent water affair hydraulic model data processing device in a third aspect, which comprises:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program codes stored in the memory to execute part or all of the steps of the intelligent water conservancy hydraulic model data processing method disclosed by the first aspect of the invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the embodiment of the invention discloses a method and a device for processing intelligent water affair hydraulic model data, wherein the method comprises the following steps: acquiring a line rule of a target water supply network and a water supply parameter of each water supply line in the target water supply network; the line rule is used for indicating a data change rule between any two water supply lines in the target water supply network, wherein the two water supply lines have a connection relationship with each other; determining the corresponding water supply health condition of each water supply line according to a preset data evaluation algorithm and the water supply parameters; acquiring a map model corresponding to the target water supply network, and establishing a hydraulic model corresponding to the target water supply network according to the map model, the line rules and the water supply parameters; determining a first water supply simulation event to be simulated from a preset water supply simulation event library, and executing parameter change corresponding to the first water supply simulation event in the hydraulic model; and acquiring real-time parameter data of the hydraulic model after the first water supply simulation event is executed according to the line rule to obtain a simulation result. Therefore, the embodiment of the invention can establish a comprehensive and accurate hydraulic model according to the line rule and the water supply parameters, determine the health condition of the specific water supply line by using the evaluation algorithm, and simultaneously perform the simulation execution of the specific event on the hydraulic model, thereby performing model drilling for the occurrence of the specific event, so as to predict the water supply parameters and make a coping strategy in time when dealing with the real water supply accident in the following.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for processing data of an intelligent water conservancy hydraulic model according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of an intelligent hydraulic model data processing device according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of another intelligent hydraulic model data processing device according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "second," "second," and the like in the description and in the claims, and in the foregoing drawings, are used for distinguishing between different objects and not necessarily for describing a particular sequential order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or apparatus that comprises a list of steps or elements is not limited to those listed but may alternatively include other steps or elements not listed or inherent to such process, method, product, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses a method and a device for processing intelligent water affair hydraulic model data, which can establish a comprehensive and accurate hydraulic model according to line rules and water supply parameters, determine the health condition of a specific water supply line by utilizing an evaluation algorithm, and simultaneously perform simulation execution of specific events on the hydraulic model, thereby performing model drilling for the occurrence of the specific events so as to predict the water supply parameters and formulate a coping strategy in time when dealing with real water supply accidents later. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a method for processing data of an intelligent water conservancy hydraulic model according to an embodiment of the present invention. The intelligent water affair hydraulic model data processing method described in fig. 1 is applied to a data processing chip, a processing terminal, or a processing server (where the processing server may be a local server or a cloud server). As shown in fig. 1, the intelligent water affair hydraulic model data processing method may include the following operations:
101. and acquiring the line rule of the target water supply network and the water supply parameters of each water supply line in the target water supply network.
Specifically, the line rule is used for indicating a data change rule between any two water supply lines in the target water supply network, which have a connection relationship with each other. Alternatively, the data change rule may be used to indicate a change rule between any water supply parameters, for example, between two water supply lines in a and B, which are connected to each other, the data change rule may be used to define a change situation of a specific water supply parameter of B when the specific water supply parameter of a increases.
Alternatively, the line rules may be derived by calculating a plurality of historical sensed data obtained from sensors disposed in a plurality of water supply lines of the target water supply network, which may include relationships between a plurality of different water supply parameters, which may be derived from a data fitting algorithm.
Optionally, the water supply parameter includes at least one of a pressure parameter, a flow rate parameter, a flow direction parameter, a hydraulic gradient parameter, a water age parameter, a water quality parameter, a valve opening parameter, and a water level parameter.
102. And determining the corresponding water supply health condition of each water supply line according to a preset data evaluation algorithm and the water supply parameters.
Optionally, the data evaluation algorithm may be a data threshold judgment algorithm, which may judge whether the water supply parameter is below a health threshold through a health threshold corresponding to a specific water supply parameter, so as to further judge the health condition of the corresponding water supply line.
103. And acquiring a map model corresponding to the target water supply network, and establishing a hydraulic model corresponding to the target water supply network according to the map model, the line rules and the water supply parameters.
Alternatively, the map model may be a two-dimensional model or a three-dimensional model. Optionally, on the basis of the map model, the corresponding line rule and the water supply parameter are assigned to the water supply line object in the map model as parameter values to obtain the hydraulic model.
104. And determining a first water supply simulation event to be simulated from a preset water supply simulation event library, and executing parameter change corresponding to the first water supply simulation event in the hydraulic model.
Optionally, the water supply simulation event comprises at least one of a pressure pipe burst event, a water supply shut-off event, a water quality pollution event, and a chemical agent addition event.
Optionally, the parameter change corresponding to the water supply simulation event may be a numerical value change of different water supply parameters.
105. And acquiring real-time parameter data of the hydraulic model after the hydraulic model executes the first water supply simulation event according to the line rule to obtain a simulation result.
Preferably, the simulation result can be used as a reference for dealing with real water supply accidents, and some coping strategies can be formulated according to the simulation result for future needs.
Therefore, the embodiment of the invention can establish a comprehensive and accurate hydraulic model according to the line rule and the water supply parameters, determine the health condition of the specific water supply line by using the evaluation algorithm, and simultaneously perform the simulation execution of the specific event on the hydraulic model, thereby performing model drilling for the occurrence of the specific event, so as to predict the water supply parameters and make a coping strategy in time when dealing with the real water supply accident in the following.
As an optional implementation, the method further comprises:
receiving an editing instruction sent by a user;
determining corresponding editing operation according to the editing instruction;
and editing the hydraulic model according to the editing operation.
Optionally, the editing operation includes drawing, adding, deleting and modifying line elements, and optionally, the line elements include at least one of water supply line nodes, water supply line pipelines, water supply line facilities, water supply sources, water supply valves and water supply pumping stations.
Therefore, through the alternative embodiment, the corresponding editing operation can be determined according to the editing instruction to edit the hydraulic model, so that the function of modifying the model can be provided for a user, and the user can adjust and modify the model so as to make the model more accurate.
As an optional implementation manner, in the above steps, after editing the hydraulic model according to the editing operation, the method further includes:
determining changed line elements in the edited hydraulic model;
determining a second water supply simulation event to be simulated from the water supply simulation event library according to the changed line elements, and executing parameter change corresponding to the second water supply simulation event in the hydraulic model;
and acquiring real-time parameter data of the hydraulic model after the hydraulic model executes the second water supply simulation event to obtain a simulation result.
Specifically, the event type of the second water supply simulation event is associated with the line element. Alternatively, the type of a series of line elements and the corresponding event type may be predetermined, for example, a deletion of a water supply source may result in a water supply shut-off event, and a modification of a water supply valve may result in a pressure burst event.
Therefore, through the optional implementation mode, the second water supply simulation event to be simulated can be determined according to the changed line elements, and the second water supply simulation event is executed in the hydraulic model to obtain a simulation result, so that automatic event simulation detection can be timely and intelligently performed after the user edits the model, and reference is provided for influences of editing operations of the user on the stability of the model.
As an optional implementation, the method further comprises:
when a first water supply accident occurs in a target water supply network, acquiring real-time water supply parameter change data of a water supply line of the target water supply network through the Internet of things sensing equipment of the target water supply network;
determining a first event type of a first water supply incident;
and according to the water supply parameter change data, modifying the parameter change corresponding to the water supply simulation event corresponding to the first event type in the water supply simulation event library.
Therefore, by the optional implementation mode, the parameter change corresponding to the corresponding water supply simulation event in the water supply simulation event library can be modified according to the actual water supply parameter change data, so that the parameter change accuracy of the simulation event can be continuously modified through the actual data change, and the accuracy of subsequent simulation is improved.
As an optional implementation, the method further comprises:
determining a plurality of simulation faults in the hydraulic model according to real-time parameter data in the simulation result and a preset parameter-fault corresponding relation;
determining an event level corresponding to a water supply simulation event corresponding to a simulation result according to a preset fault-level corresponding relation and all simulation faults;
determining a plurality of maintenance personnel capable of maintaining the simulated faults in a preset maintenance personnel database according to the plurality of simulated faults;
calculating optimal scheduling schemes corresponding to a plurality of simulated faults based on a preset dynamic planning algorithm, fault information of the simulated faults and personnel information of maintenance personnel;
and determining the optimal scheduling scheme as a maintenance scheduling scheme corresponding to the event level of the water supply simulation event corresponding to the simulation result.
As an optional implementation manner, in the above steps, based on a preset dynamic planning algorithm, fault information of the simulated fault and personnel information of the maintenance personnel, calculating an optimal scheduling scheme corresponding to a plurality of simulated faults includes:
determining the maintenance cost corresponding to each simulated fault; the maintenance cost comprises maintenance time cost, maintenance labor cost and maintenance material cost;
determining the route cost of any maintenance personnel for going to maintain any simulated fault according to the hiring area of each maintenance personnel and the fault position corresponding to each simulated fault; the cost of the trip includes the time and expense of the trip;
determining the objective function as the minimum working cost corresponding to the scheduling scheme; the scheduling scheme is a scheme for scheduling a specific maintenance worker to go to maintain a specific simulated fault; the working cost is the sum of the maintenance cost and the distance cost corresponding to all simulated faults maintained in the scheduling scheme;
and calculating optimal scheduling schemes corresponding to a plurality of simulated faults based on a preset immune particle swarm algorithm according to the target function.
Therefore, according to the optional implementation mode, the optimal scheduling schemes corresponding to the plurality of simulated faults can be calculated based on the preset dynamic planning algorithm, the fault information of the simulated faults and the personnel information of maintenance personnel, so that the simulated scheduling schemes can be determined by combining the simulation result, the scheme can be used for providing reference during actual maintenance, can also be directly adopted as an actual scheduling scheme, and can effectively improve the reference effect of the model in handling actual accidents.
As an optional implementation, the method further comprises:
when a second water supply accident occurs to the target water supply network, acquiring real-time water supply fault information of a water supply line of the target water supply network;
determining a second event type for a second water supply incident;
determining a target water supply simulation event corresponding to the second event type in a water supply simulation time database;
calculating the similarity between the water supply fault information and different simulated faults corresponding to different event levels of the target water supply simulated event;
determining the maintenance scheduling scheme corresponding to the event level corresponding to the simulated fault with the highest similarity as the maintenance scheduling scheme corresponding to the second water supply accident;
and executing a maintenance scheduling scheme to perform maintenance on the second water supply accident.
Optionally, the water supply fault information and the simulated fault may be fault cause texts in a data form, or may be parameter data in a data form, so that the similarity between the two may be calculated in a text similarity or numerical similarity manner.
Therefore, through the optional implementation mode, the similarity between the actual accident and the simulated accident can be calculated when the water supply accident actually occurs, and the maintenance scheduling scheme corresponding to the event level corresponding to the simulated fault with the highest similarity is determined as the maintenance scheduling scheme corresponding to the actual water supply accident, so that the actual maintenance scheduling scheme can be determined more accurately and efficiently, and the maintenance efficiency is improved.
Example two
Referring to fig. 2, fig. 2 is a schematic structural diagram of an intelligent water conservancy hydraulic model data processing device according to an embodiment of the present invention. The intelligent water affair hydraulic model data processing device described in fig. 2 is applied to a data processing chip, a processing terminal, or a processing server (where the processing server may be a local server or a cloud server). As shown in fig. 2, the intelligent water conservancy model data processing device may include:
and the data acquisition module 201 is used for acquiring the line rule of the target water supply network and the water supply parameter of each water supply line in the target water supply network.
Specifically, the line rule is used for indicating a data change rule between any two water supply lines in the target water supply network, which have a connection relationship with each other. Alternatively, the data change rule may be used to indicate a change rule between any water supply parameters, for example, between two water supply lines in a and B, which are connected to each other, the data change rule may be used to define a change situation of a specific water supply parameter of B when the specific water supply parameter of a increases.
Alternatively, the line rules may be calculated from a plurality of historical sensed data obtained from sensors disposed in a plurality of water supply lines of the target water supply network, which may include relationships between a plurality of different water supply parameters, which may be obtained from a data fitting algorithm.
Optionally, the water supply parameter includes at least one of a pressure parameter, a flow rate parameter, a flow direction parameter, a hydraulic gradient parameter, a water age parameter, a water quality parameter, a valve opening parameter, and a water level parameter.
And the data analysis module 202 is configured to determine a water supply health condition corresponding to each water supply line according to a preset data evaluation algorithm and the water supply parameters.
Optionally, the data evaluation algorithm may be a data threshold judgment algorithm, which may judge whether the water supply parameter is below a health threshold through a health threshold corresponding to a specific water supply parameter, so as to further judge the health condition of the corresponding water supply line.
And the model establishing module 203 is used for acquiring a map model corresponding to the target water supply network and establishing a hydraulic model corresponding to the target water supply network according to the map model, the line rules and the water supply parameters.
Alternatively, the map model may be a two-dimensional model or a three-dimensional model. Optionally, on the basis of the map model, the corresponding line rule and the water supply parameter are assigned to the water supply line object in the map model as parameter values to obtain the hydraulic model.
The event simulation module 204 is configured to determine a first water supply simulation event to be simulated from a preset water supply simulation event library, and execute a parameter change corresponding to the first water supply simulation event in the hydraulic model.
Optionally, the water supply simulation event comprises at least one of a pressure pipe burst event, a water supply shut-off event, a water quality pollution event, and a chemical agent addition event.
Optionally, the parameter change corresponding to the water supply simulation event may be a numerical value change of different water supply parameters.
And the result acquiring module 205 is used for acquiring real-time parameter data after the hydraulic model executes the first water supply simulation event according to the line rule so as to obtain a simulation result.
Preferably, the simulation result can be used as a reference for dealing with real water supply accidents, and some coping strategies can be formulated according to the simulation result for future needs.
Therefore, the embodiment of the invention can establish a comprehensive and accurate hydraulic model according to the line rule and the water supply parameters, determine the health condition of the specific water supply line by using the evaluation algorithm, and simultaneously perform the simulation execution of the specific event on the hydraulic model, thereby performing model drilling for the occurrence of the specific event, so as to predict the water supply parameters and make a coping strategy in time when dealing with the real water supply accident in the following.
As an optional implementation manner, the apparatus further includes an editing module, configured to perform the following steps:
receiving an editing instruction sent by a user;
determining corresponding editing operation according to the editing instruction; editing operations comprise drawing, adding, deleting and modifying line elements;
and editing the hydraulic model according to the editing operation.
Optionally, the editing operation includes drawing, adding, deleting and modifying line elements, and optionally, the line elements include at least one of water supply line nodes, water supply line pipelines, water supply line facilities, water supply sources, water supply valves and water supply pumping stations.
Therefore, through the alternative embodiment, the corresponding editing operation can be determined according to the editing instruction to edit the hydraulic model, so that the function of modifying the model can be provided for a user, and the user can adjust and modify the model so as to make the model more accurate.
As an optional embodiment, after the editing module edits the hydraulic model according to the editing operation, the apparatus further comprises an editing simulation module for performing the following steps:
determining changed line elements in the edited hydraulic model;
determining a second water supply simulation event to be simulated from the water supply simulation event library according to the changed line elements, and executing parameter change corresponding to the second water supply simulation event in the hydraulic model;
and acquiring real-time parameter data of the hydraulic model after the hydraulic model executes the second water supply simulation event to obtain a simulation result.
Specifically, the event type of the second water supply simulation event is associated with the line element. Alternatively, the type of a series of line elements and the corresponding event type may be predetermined, for example, a deletion of a water supply source may result in a water supply shut-off event, and a modification of a water supply valve may result in a pressure burst event.
Therefore, through the optional implementation mode, the second water supply simulation event to be simulated can be determined according to the changed line elements, and the second water supply simulation event is executed in the hydraulic model to obtain a simulation result, so that automatic event simulation detection can be timely and intelligently performed after the user edits the model, and reference is provided for influences of editing operations of the user on the stability of the model.
As an optional implementation manner, the apparatus further includes a simulated event setting module, configured to perform the following steps:
when a first water supply accident occurs in a target water supply network, acquiring real-time water supply parameter change data of a water supply line of the target water supply network through the Internet of things sensing equipment of the target water supply network;
determining a first event type of a first water supply incident;
and according to the water supply parameter change data, modifying the parameter change corresponding to the water supply simulation event corresponding to the first event type in the water supply simulation event library.
Therefore, by the optional implementation mode, the parameter change corresponding to the corresponding water supply simulation event in the water supply simulation event library can be modified according to the actual water supply parameter change data, so that the parameter change accuracy of the simulation event can be continuously modified through the actual data change, and the accuracy of subsequent simulation is improved.
As an optional implementation, the apparatus further includes an analog scheduling module, configured to perform the following steps:
determining a plurality of simulation faults in the hydraulic model according to real-time parameter data in the simulation result and a preset parameter-fault corresponding relation;
determining an event level corresponding to a water supply simulation event corresponding to a simulation result according to a preset fault-level corresponding relation and all simulation faults;
determining a plurality of maintenance personnel capable of maintaining the simulated faults in a preset maintenance personnel database according to the plurality of simulated faults;
calculating optimal scheduling schemes corresponding to a plurality of simulated faults based on a preset dynamic planning algorithm, fault information of the simulated faults and personnel information of maintenance personnel;
and determining the optimal scheduling scheme as a maintenance scheduling scheme corresponding to the event level of the water supply simulation event corresponding to the simulation result.
As an optional implementation manner, the simulation scheduling module calculates an optimal scheduling scheme corresponding to a plurality of simulated faults based on a preset dynamic planning algorithm, fault information of the simulated faults and personnel information of maintenance personnel, and includes:
determining the maintenance cost corresponding to each simulated fault; the maintenance cost comprises maintenance time cost, maintenance labor cost and maintenance material cost;
determining the route cost of any maintenance personnel for going to maintain any simulated fault according to the hiring area of each maintenance personnel and the fault position corresponding to each simulated fault; the cost of the trip includes the time and expense of the trip;
determining the objective function as the minimum working cost corresponding to the scheduling scheme; the scheduling scheme is a scheme for scheduling a specific maintenance worker to go to maintain a specific simulated fault; the working cost is the sum of the maintenance cost and the distance cost corresponding to all simulated faults maintained in the scheduling scheme;
and calculating optimal scheduling schemes corresponding to a plurality of simulated faults based on a preset immune particle swarm algorithm according to the target function.
Therefore, according to the optional implementation mode, the optimal scheduling schemes corresponding to the plurality of simulated faults can be calculated based on the preset dynamic planning algorithm, the fault information of the simulated faults and the personnel information of maintenance personnel, so that the simulated scheduling schemes can be determined by combining the simulation result, the scheme can be used for providing reference during actual maintenance, can also be directly adopted as an actual scheduling scheme, and can effectively improve the reference effect of the model in handling actual accidents.
As an optional implementation, the apparatus further includes an actual scheduling module, configured to perform the following steps:
when a second water supply accident occurs to the target water supply network, acquiring real-time water supply fault information of a water supply line of the target water supply network;
determining a second event type for a second water supply incident;
determining a target water supply simulation event corresponding to the second event type in a water supply simulation time database;
calculating the similarity between the water supply fault information and different simulated faults corresponding to different event levels of the target water supply simulated event;
determining the maintenance scheduling scheme corresponding to the event level corresponding to the simulated fault with the highest similarity as the maintenance scheduling scheme corresponding to the second water supply accident;
and executing a maintenance scheduling scheme to perform maintenance on the second water supply accident.
Optionally, the water supply fault information and the simulated fault may be fault cause texts in a data form, or may be parameter data in a data form, so that the similarity between the two may be calculated in a text similarity or numerical similarity manner.
Therefore, through the optional implementation mode, the similarity between the actual accident and the simulated accident can be calculated when the water supply accident actually occurs, and the maintenance scheduling scheme corresponding to the event level corresponding to the simulated fault with the highest similarity is determined as the maintenance scheduling scheme corresponding to the actual water supply accident, so that the actual maintenance scheduling scheme can be determined more accurately and efficiently, and the maintenance efficiency is improved.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic diagram of another intelligent hydraulic model data processing device according to an embodiment of the present invention. The intelligent water affair hydraulic model data processing device described in fig. 3 is applied to a data processing chip, a processing terminal or a processing server (wherein, the processing server may be a local server or a cloud server). As shown in fig. 3, the intelligent water conservancy model data processing device may include:
a memory 301 storing executable program code;
a processor 302 coupled to the memory 301;
the processor 302 calls the executable program code stored in the memory 301 for executing the steps of the intelligent water conservancy hydraulic model data processing method described in the first embodiment.
Example four
The embodiment of the invention discloses a computer-readable storage medium which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the intelligent water affair hydraulic model data processing method described in the first embodiment.
EXAMPLE five
The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to make a computer execute the steps of the intelligent water affair hydraulic model data processing method described in the first embodiment.
While certain embodiments of the present disclosure have been described above, other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily have to be in the particular order shown or in sequential order to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus, device, and non-volatile computer-readable storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and in relation to the description, reference may be made to some portions of the description of the method embodiments.
The apparatus, the device, the nonvolatile computer readable storage medium, and the method provided in the embodiments of the present specification correspond to each other, and therefore, the apparatus, the device, and the nonvolatile computer storage medium also have similar advantageous technical effects to the corresponding method.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardsradware (Hardware Description Language), vhjhd (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
As will be appreciated by one skilled in the art, the present specification embodiments may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Finally, it should be noted that: the method and the device for processing data of an intelligent water conservancy model disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for processing data of an intelligent water affair hydraulic model, which is characterized by comprising the following steps:
acquiring a line rule of a target water supply network and a water supply parameter of each water supply line in the target water supply network; the line rule is used for indicating a data change rule between any two water supply lines in the target water supply network, wherein the two water supply lines have a connection relationship with each other;
determining the corresponding water supply health condition of each water supply line according to a preset data evaluation algorithm and the water supply parameters;
acquiring a map model corresponding to the target water supply pipe network, and establishing a hydraulic model corresponding to the target water supply pipe network according to the map model, the line rules and the water supply parameters;
determining a first water supply simulation event to be simulated from a preset water supply simulation event library, and executing parameter change corresponding to the first water supply simulation event in the hydraulic model;
and acquiring real-time parameter data of the hydraulic model after the first water supply simulation event is executed according to the line rule to obtain a simulation result.
2. The intelligent water service hydraulic model data processing method according to claim 1, further comprising:
receiving an editing instruction sent by a user;
determining corresponding editing operation according to the editing instruction; the editing operation comprises drawing, adding, deleting and modifying line elements;
and editing the hydraulic model according to the editing operation.
3. The intelligent water service hydraulic model data processing method according to claim 2, wherein after the hydraulic model is edited according to the editing operation, the method further comprises:
determining changed line elements in the edited hydraulic model;
determining a second water supply simulation event to be simulated from the water supply simulation event library according to the changed line elements, and executing parameter change corresponding to the second water supply simulation event in the hydraulic model; the event type of the second water supply simulation event is related to the line element;
and acquiring real-time parameter data of the hydraulic model after the hydraulic model executes the second water supply simulation event to obtain a simulation result.
4. The intelligent water affair hydraulic model data processing method according to claim 3, wherein the water supply parameter includes at least one of a pressure parameter, a flow rate parameter, a flow direction parameter, a hydraulic gradient parameter, a water age parameter, a water quality parameter, a valve opening parameter, and a water level parameter; and/or the line elements comprise at least one of water supply line nodes, water supply line pipelines, water supply line facilities, water supply sources, water supply valves and water supply pump stations; and/or the water supply simulation event comprises at least one of a pressure pipe bursting event, a water supply closing event, a water quality pollution event and a chemical agent adding event.
5. The intelligent water service hydraulic model data processing method according to claim 1, further comprising:
when a first water supply accident occurs to the target water supply network, acquiring real-time water supply parameter change data of a water supply line of the target water supply network through an Internet of things sensing device of the target water supply network;
determining a first event type of the first water supply incident;
and modifying the parameter change corresponding to the water supply simulation event corresponding to the first event type in the water supply simulation event library according to the water supply parameter change data.
6. The intelligent water service hydraulic model data processing method according to claim 3, further comprising:
determining a plurality of simulation faults in the hydraulic model according to the real-time parameter data in the simulation result and a preset parameter-fault corresponding relation;
determining an event level corresponding to the water supply simulation event corresponding to the simulation result according to a preset fault-level corresponding relation and all the simulation faults;
determining a plurality of maintenance personnel capable of maintaining the simulated faults in a preset maintenance personnel database according to the plurality of simulated faults;
calculating an optimal scheduling scheme corresponding to the plurality of simulated faults based on a preset dynamic planning algorithm, the fault information of the simulated faults and the personnel information of maintenance personnel;
and determining the optimal scheduling scheme as a maintenance scheduling scheme corresponding to the event level of the water supply simulation event corresponding to the simulation result.
7. The intelligent water conservancy model data processing method of claim 6, wherein the calculating of the optimal scheduling scheme corresponding to the plurality of simulated faults based on a preset dynamic programming algorithm, fault information of the simulated faults and personnel information of maintenance personnel comprises:
determining the maintenance cost corresponding to each simulated fault; the maintenance cost comprises maintenance time cost, maintenance labor cost and maintenance material cost;
determining the cost of the route of any one of the maintenance personnel to the simulated fault according to the hiring area of each maintenance personnel and the fault position corresponding to each simulated fault; the trip cost comprises a trip time and a trip spending;
determining the objective function as the minimum working cost corresponding to the scheduling scheme; the scheduling scheme is a scheme for scheduling a specific maintenance person to go to maintain a specific simulated fault; the working cost is the sum of the maintenance cost and the distance cost corresponding to all the simulated faults maintained in the scheduling scheme;
and calculating an optimal scheduling scheme corresponding to the plurality of simulated faults based on a preset immune particle swarm algorithm according to the target function.
8. The intelligent water service hydraulic model data processing method according to claim 6, further comprising:
when a second water supply accident occurs to the target water supply network, acquiring real-time water supply fault information of a water supply line of the target water supply network;
determining a second event type of the second water supply incident;
determining a target water supply simulation event corresponding to the second event type in the water supply simulation time database;
calculating the similarity between the water supply fault information and different simulated faults corresponding to different event levels of the target water supply simulated event;
determining the maintenance scheduling scheme corresponding to the event level corresponding to the simulated fault with the highest similarity as the maintenance scheduling scheme corresponding to the second water supply accident;
executing the maintenance scheduling plan to perform maintenance on the second water supply accident.
9. An intelligent water affairs hydraulic model data processing device, characterized in that the device includes:
the data acquisition module is used for acquiring the line rule of a target water supply network and the water supply parameters of each water supply line in the target water supply network; the line rule is used for indicating a data change rule between any two water supply lines in the target water supply network, wherein the two water supply lines have a connection relation with each other;
the data analysis module is used for determining the water supply health condition corresponding to each water supply line according to a preset data evaluation algorithm and the water supply parameters;
the model establishing module is used for acquiring a map model corresponding to the target water supply network and establishing a hydraulic model corresponding to the target water supply network according to the map model, the line rule and the water supply parameters;
the event simulation module is used for determining a first water supply simulation event to be simulated from a preset water supply simulation event library and executing parameter change corresponding to the first water supply simulation event in the hydraulic model;
and the result acquisition module is used for acquiring real-time parameter data after the hydraulic model executes the first water supply simulation event according to the line rule so as to obtain a simulation result.
10. An intelligent water affairs hydraulic model data processing device, characterized in that the device includes:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the intelligent water service hydraulic model data processing method according to any one of claims 1-8.
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