CN115859808A - Pump set work prediction method and device, electronic equipment and storage medium - Google Patents
Pump set work prediction method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a pump set work prediction method, a pump set work prediction device, electronic equipment and a storage medium. The method comprises the steps of obtaining a pump room virtual environment which comprises a plurality of single pump models, obtaining a plurality of pump set working strategies, generating working sequences based on the plurality of pump set working strategies, wherein the pump set working strategies comprise working parameters of each single pump, sequentially carrying out working simulation on the pump room virtual environment based on the working sequences to obtain predicted water supply data and predicted consumption data corresponding to each pump set working strategy, and judging each pump set working strategy based on the predicted water supply data and the predicted consumption data to obtain a target pump set working strategy. The pump set energy efficiency is optimized under the condition that the output flow of the pump set meets the requirement, and the effects of saving energy consumption and reducing power consumption cost are achieved.
Description
Technical Field
The embodiment of the invention relates to the technical field of urban water supply pipe scheduling, in particular to a pump set work prediction method, a pump set work prediction device, electronic equipment and a storage medium.
Background
According to the carbon peak-to-peak construction requirement of a building department, the unit water supply energy consumption is reduced, the leakage of a pipe network is controlled to be below 8%, and the intelligentization of the pipe network is an important task for water utilities for a period of time.
At present, a constant-pressure water supply mode is usually adopted, and although the traditional constant-pressure water supply mode can ensure that the water supply reaches the standard, the waste of part of energy consumption is caused, particularly the waste of the lift under low flow is caused.
Disclosure of Invention
The invention provides a pump set work prediction method, a device, electronic equipment and a storage medium, so as to achieve the optimal pump set energy efficiency.
In a first aspect, an embodiment of the present invention provides a pump group operation prediction method, including:
acquiring a pump room virtual environment, wherein the pump room virtual environment comprises a plurality of single pump models;
acquiring a plurality of pump group working strategies, and generating a working sequence based on the plurality of pump group working strategies; the pump set working strategy comprises working parameters of each single pump;
sequentially carrying out work simulation on the pump room virtual environment based on the work sequence to obtain predicted water supply data and predicted consumption data corresponding to the work strategies of each pump set;
and judging the working strategies of the pump sets based on the predicted water supply data and the predicted consumption data to obtain the working strategies of the target pump sets.
Optionally, the single-pump model is used for performing prediction processing on the input working parameters and state parameters to obtain single-pump water supply data of predicted time; the working parameters comprise working frequency, and the state parameters comprise current water level and current flow;
the generation mode of the single-pump model comprises the following steps:
the method comprises the steps of establishing an initial single-pump model, obtaining historical training data to train the initial single-pump model to obtain a single-pump model, and verifying the trained single-pump model based on unit time period verification data and multi-time period verification total data.
Optionally, the working parameters of the single pump include a working frequency in a working state and idle data in an idle state;
generating a work sequence based on the plurality of pump group work strategies, including:
forming a data set by the working parameters in the working strategy of each pump set based on the sequence of the single pumps;
and forming a working sequence based on the data groups respectively corresponding to the working strategies of the pump groups.
Optionally, the sequentially performing work simulation on the pump room virtual environment based on the work sequence to obtain predicted water supply data and predicted consumption data corresponding to the work strategies of each pump group includes:
configuring the working parameters of each single-pump model based on any data set in the working sequence;
determining single-pump consumption data corresponding to each single-pump model based on the working parameters corresponding to the data set, and determining the predicted consumption data based on the sum of the single-pump consumption data corresponding to each single-pump model;
and respectively predicting the working parameters and the state parameters based on the single pump models in the pump room virtual environment to obtain single pump water supply data output by the single pump models, and determining predicted water supply data based on the sum of the single pump water supply data output by the single pump models.
Optionally, the determining each pump group working strategy based on the predicted water supply data and the predicted consumption data to obtain a target pump group working strategy includes:
acquiring target water supply quantity, judging predicted water supply data corresponding to each pump set working strategy based on the target water supply quantity, and determining candidate pump set working strategies of which the predicted water supply data are larger than the target water supply quantity;
and sequencing the candidate pump set working strategies based on the predicted consumption data, and determining the candidate pump set working strategy corresponding to the minimum value of the predicted consumption data as a target pump set working strategy.
Optionally, the obtaining the target water supply amount includes:
acquiring a water supply type, a water supply date and a water supply time period, and setting mark data according to the water supply type, the water supply date and the water supply time period, wherein marks corresponding to the water supply type comprise a resident type mark and an industrial type mark, marks corresponding to the water supply date comprise a working day mark and a holiday mark, and marks corresponding to the water supply time period comprise a peak mark, a valley mark and a normal mark;
and acquiring historical water supply data in a preset historical time period, and performing prediction processing on the historical water supply data and the marking data based on a water supply prediction model to obtain a target water supply amount.
Optionally, after determining each pump group operation strategy based on the predicted water supply data and the predicted consumption data to obtain a target pump group operation strategy, the method further includes:
determining the working parameter range of each single pump based on the working parameters of each single pump in the target pump set working strategy;
and determining a model based on a preset strategy, and predicting the working parameter range and the target water supply amount of each single pump to obtain the target working parameters of each single pump, wherein the target working parameters of each single pump form an updated pump set working strategy.
In a second aspect, an embodiment of the present invention further provides a pump set operation prediction apparatus, including:
the pump room virtual environment acquisition module is used for acquiring a pump room virtual environment, and the pump room virtual environment comprises a plurality of single pump models;
the working sequence generating module is used for acquiring a plurality of pump unit working strategies and generating a working sequence based on the plurality of pump unit working strategies; the pump set working strategy comprises working parameters of each single pump;
the working simulation module is used for sequentially carrying out working simulation on the pump room virtual environment based on the working sequence to obtain predicted water supply data and predicted consumption data corresponding to the working strategies of each pump group;
and the working strategy acquisition module is used for judging each pump set working strategy based on the predicted water supply data and the predicted consumption data to obtain a target pump set working strategy.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the pump set operation prediction method of any one of the first aspects.
In a fourth aspect, the present invention further provides a computer-readable storage medium, where computer instructions are stored, and the computer instructions are configured to cause a processor to implement the pump group operation prediction method according to any one of the first aspect when executed.
The method comprises the steps of obtaining a pump room virtual environment which comprises a plurality of single pump models, obtaining a plurality of pump group working strategies, generating a working sequence based on the plurality of pump group working strategies, wherein the pump group working strategies comprise working parameters of all single pumps, carrying out working simulation on the pump room virtual environment in sequence based on the working sequence to obtain predicted water supply data and predicted consumption data corresponding to all the pump group working strategies, and judging all the pump group working strategies based on the predicted water supply data and the predicted consumption data to obtain a target pump group working strategy. The pump set energy efficiency is optimized under the condition that the output flow of the pump set meets the requirement, and the effects of saving energy consumption and reducing power consumption cost are achieved.
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 flowchart of a pump group operation prediction method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a pump group operation prediction device according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a pump group operation prediction method according to an embodiment of the present invention, where the embodiment is applicable to a pump group operation prediction case, the method may be executed by a pump group operation prediction device, the pump group operation prediction device may be implemented in a form of hardware and/or software, and the pump group operation prediction device may be configured in an electronic device such as a computer, a server, a mobile terminal, and the like. As shown in fig. 1, the method includes:
s110, acquiring a pump room virtual environment, wherein the pump room virtual environment comprises a plurality of single pump models.
The pump room virtual environment may be a simulation scene of an actual working environment of the pump room formed by combining a plurality of single pump models, the pump room virtual environment may be created according to the actual environment of the pump room, and exemplarily, the number of the single pump models in the pump room virtual environment is determined according to the number of the single pumps included in the actual environment of the pump room. In some embodiments, the multiple single pump models included in the pump house virtual environment may be identical, trained on the same historical water supply data. In some embodiments, the plurality of single-pump models included in the pump room virtual environment are different, for example, the model types of the single-pump models are different, or the model types of the single-pump models are the same, but the model parameters are different, and the plurality of single-pump models can be trained based on the historical water supply data of the single pumps in the pump room actual environment, so as to further improve the reality of the pump room virtual environment simulation. The single-pump model may be a model that is trained based on preset conditions and can reflect the single-pump working data, for example, a logistic regression model, an artificial neural network model, a decision tree model, and the like, and is not limited herein.
Optionally, the single-pump model is used for performing prediction processing on the input working parameters and state parameters to obtain single-pump water supply data of the predicted time.
The operating parameters may include an operating frequency, and the state parameters may include a current water level and a current flow rate. The prediction time can be set according to actual conditions. The single-pump water supply data may be a total flow rate of water in the single pump over a predicted time.
Optionally, the generating manner of the single-pump model may include: the method comprises the steps of creating an initial single-pump model, obtaining historical training data (namely historical water supply data) to train the initial single-pump model to obtain a single-pump model, and verifying the trained single-pump model based on unit time period verification data and multi-time period verification total data.
The initial single-pump model may be a blank model without data training, where the model parameters in the blank model may be random parameters or preset initial parameters, and the model parameters need to be further adjusted by a training mode. The historical training data may be actual working data of the initial single-pump model in a historical working task of the single pump in the pump room, and correspondingly, the historical training data may be extracted from a working log of the pump room and the like.
The unit time period may be a time period set by a simulation person according to actual conditions, for example, every second, every minute, every hour, and the like. The verification data may be actual working data of the initial single-pump model in a unit period of the historical working task of the corresponding single pump in the pump room, such as working frequency per minute of the single pump, flow rate per minute of the single pump, and the like. The total verification data for multiple periods may be an accumulation of verification data for multiple unit periods, e.g., operating frequency for 10 minutes for a single pump, flow rate for 10 minutes for a single pump, etc.
The verification of the single-pump model obtained through training can be implemented by comparing data output by the single-pump model after training with actual working data output by a corresponding single pump in a pump room in a historical working task, and if the absolute value of the difference between the two is smaller than a preset threshold, judging that the single-pump model after training meets the requirement.
For example, the single-pump model may be obtained by defining a required prediction model, setting an activation function to activate the prediction model to obtain a format adopted by the single-pump model during operation, compiling and fitting the defined single-pump model, adjusting model parameters in the prediction model through a historical training data set, evaluating the single-pump model according to verification data, and completing training of the prediction model if satisfactory evaluation is performed. The activation function may be a regression function, a binary classification function, a multi-cumulative classification function, etc., and the present invention is not limited in particular.
Through training and verifying the single-pump model, the input single-pump working parameters and state parameters can be predicted, single-pump water supply data of predicted time can be obtained, and a real working scene can be restored more accurately.
S120, obtaining a plurality of pump group working strategies, and generating a working sequence based on the plurality of pump group working strategies; the pump set working strategy comprises working parameters of each single pump.
The pump set working strategy can be a combination of multiple groups of single pump working parameters given by simulation personnel according to actual conditions. The work sequence may be a data set sequence of a plurality of pump set work strategies.
Optionally, the operating parameters of the single pump may further include an operating frequency in an operating state and idle data in an idle state.
It should be noted that a plurality of single pumps exist in the pump room, and in one pump set working strategy, the plurality of single pumps may be freely combined, that is, there exists a single pump that needs to work, or there may exist a single pump that does not need to work, and accordingly, the working parameters of the single pump that needs to work correspond to the working frequency in the working state, and the working parameters of the single pump that does not need to work correspond to the null data.
Optionally, generating the work sequence based on the plurality of pump group work strategies may include: and forming a data group according to the working parameters in the working strategy of each pump group based on the sequencing of the single pumps, and forming a working sequence based on the data group corresponding to the working strategy of each pump group.
The sequence of the single pumps can be the actual position sequence of the single pumps in the pump room. The data set may be a collection of data for all of the individual pumps included in the pump set operating strategy.
Through the production work sequence, a simulator can clearly know the number and data of the pump set work strategies to be simulated, and through the simulation of each pump set work strategy, the optimal pump set work strategy is recommended to the worker according to the simulation result.
And S130, sequentially simulating the operation of the virtual environment of the pump room based on the operation sequence to obtain predicted water supply data and predicted consumption data corresponding to the operation strategies of each pump group.
The working simulation of the pump room virtual environment based on the working sequence may be a data set formed by traversing working parameters in each group of pump group working strategies in the working sequence, configuring the data set in a preset single pump model, and performing working simulation on input working parameters and state parameters. The predicted water supply data may be a water supply amount generated by performing an operation simulation on the input operation parameters and the state parameters. The predicted consumption data may be consumption data generated by performing an operation simulation on the input operation parameters, for example, power consumption data or the like.
Optionally, the operating parameters of each single-pump model are configured based on any one of the data sets in the operating sequence. Correspondingly, any data group in the working sequence, namely any pump group working strategy, comprises the working parameters of each single pump, and the working parameters of each single pump are respectively configured in the corresponding single pump model to form the pump room virtual environment.
And determining single-pump consumption data corresponding to each single-pump model based on the working parameters corresponding to the data group, and determining predicted consumption data based on the sum of the single-pump consumption data corresponding to each single-pump model.
Wherein the single-pump consumption data may be power consumption data of the single pump. Accordingly, the predicted consumption data may be the sum of the power consumption data of each single pump included in any pump group operation strategy, for example, the power consumption data of each single pump is "1, 2, and 3", respectively, and the predicted consumption data may be "6", which is only for illustration and is not specifically limited.
And respectively predicting the working parameters and the state parameters based on each single-pump model in the pump room virtual environment to obtain single-pump water supply data output by each single-pump model, and determining predicted water supply data based on the sum of the single-pump water supply data output by each single-pump model.
Wherein the single-pump water supply data may be a water supply amount of the single pump. Accordingly, the predicted water supply data may be the sum of the water supply amounts of the individual pumps included in any pump group operation strategy, for example, the individual pump water supply data is "1, 2, 3", respectively, and the predicted water supply data may be "6", which is only an example and is not particularly limited.
The predicted water supply data and the predicted consumption data are obtained by predicting the single-pump data in the working strategies of each pump set and simply calculating the single-pump data, so that the calculated amount is reduced, and the simulation efficiency is improved.
And S140, judging the working strategies of all the pump sets based on the predicted water supply data and the predicted consumption data to obtain the target pump set working strategy.
The judgment process of the working strategies of the pump sets can be a process of sequencing and screening the working strategies of the pump sets based on the predicted water supply data and the predicted consumption data. The target pump group working strategy may be a pump group working strategy which meets preset requirements and the predicted consumption data meets preset consumption conditions, the target pump group working strategy may be one or more, and the preset consumption conditions may be, for example, that the predicted consumption data is smaller than a preset threshold, or that the predicted consumption data is minimum, and the like.
Optionally, the obtaining of the target pump group operating strategy may be: the method comprises the steps of obtaining target water supply amount, judging predicted water supply data corresponding to pump set working strategies based on the target water supply amount, determining candidate pump set working strategies with the predicted water supply data larger than the target water supply amount, sequencing the candidate pump set working strategies based on predicted consumption data, and determining the candidate pump set working strategy corresponding to the minimum value of the predicted consumption data as the target pump set working strategy.
Wherein the target water supply amount may be a water demand of the user. Illustratively, the water demand of a user is obtained, predicted water supply data output after simulation of a pump set working strategy is completed is compared with the water demand of the user, if the predicted water supply data is larger than the water demand of the user, the pump set working strategy is determined to be a candidate pump set working strategy, a working sequence is traversed, all pump set working strategies meeting the condition that the predicted water supply data is larger than the water demand of the user are selected, predicted consumption data of the pump set working strategies are compared, and a group of pump set working strategies with the minimum predicted consumption data are used as target pump set working strategies.
The pump set energy efficiency is optimized under the condition that the output flow of the pump set meets the requirement, and the effects of saving energy consumption and reducing power consumption cost are achieved.
Alternatively, the obtaining of the target water supply amount may include: and acquiring the water supply type, the water supply date and the water supply time period, and setting marking data according to the water supply type, the water supply date and the water supply time period.
The marks corresponding to the water supply types comprise residential type marks and industrial type marks, the marks corresponding to the water supply dates comprise working day marks and holiday marks, and the marks corresponding to the water supply periods comprise peak marks, valley marks and normal marks.
And acquiring historical water supply data in a preset historical time period, and performing prediction processing on the historical water supply data and the marked data based on a water supply prediction model to obtain the target water supply amount.
The water supply prediction model may include, but is not limited to, a machine learning model, a logistic regression model, an artificial neural network model, a decision tree model, and the like, and is not limited herein. Correspondingly, the water supply prediction model can be obtained by referring to the single-pump model, so that the water supply prediction model can meet the requirement of performing prediction processing on historical water supply data and marking data based on the water supply prediction model to obtain the target water supply amount, and further description is omitted here.
The future water demand of the user, namely the target water supply amount, is predicted according to historical data, the accurate estimation of the water consumption is realized by refining the types of regional users, and the electric energy consumption of a pump station is further reduced.
Optionally, after obtaining the target pump set operating strategy, the following steps may be further performed: and determining the working parameter range of each single pump based on the working parameters of each single pump in the target pump set working strategy, and performing prediction processing on the working parameter range of each single pump and the target water supply amount based on a preset strategy determination model to obtain the target working parameters of each single pump.
Wherein, each single-pump working parameter range can be an error allowable range of each single-pump working parameter. The preset strategy determination model can be obtained through a PPO algorithm. Correspondingly, the target working parameters of each single pump form an updated pump set working strategy. For example, a plurality of pump group working strategies output by a user are obtained in advance, the plurality of pump group working strategies are subjected to working simulation, and screening is performed based on predicted water supply data and predicted consumption data corresponding to each pump group working strategy, so as to obtain a target pump group working strategy, wherein the target pump group working strategy can be 'A1', B2 'and C3', namely three single pumps 'a, B and C' need to work in a room virtual environment after the target pump group working strategy is configured, the working parameter of the single pump 'a' is 'parameter 1', and the working parameter of the single pump 'B' is 'parameter 2' and the working parameter of the single pump 'C' is 'parameter 3'. The number of individual pumps and the operating parameters of each individual pump in the target pump set operating strategy are only examples herein. The method includes the steps of obtaining preset error allowable ranges of working parameters of the single pumps, expanding the working parameters of the single pumps to obtain single-pump working parameter ranges, exemplarily, the working parameter range of the single pump "A" can be a parameter 1 +/-error value, the working parameter range of the single pump "B" can be a parameter 2 +/-error value, and so on, wherein the error allowable ranges, namely the error values, can be determined according to screening requirements, and are not limited herein. And forming a continuous data range by determining the working parameter range of each single pump, and further screening the working parameters based on the continuous working parameter range of the single pump, namely determining the target working parameters of the single pump. In the scheme, the screening of the optimal pump set working strategy, namely the screening of the working parameters with coarse granularity, is carried out in the plurality of discrete pump set working strategies by setting the plurality of discrete pump set working strategies. And determining a continuous single-pump working parameter range based on the screened target pump set working strategy, performing fine-grained screening in the continuous single-pump working parameter range, determining the target working parameters of each single pump, and improving the accuracy of the working parameters of each single pump.
In the scheme, the single-pump working parameter range is processed through a preset strategy determination model so as to obtain the target working parameters of each single pump output by the strategy determination model. The preset strategy determination model is obtained through PPO algorithm training, prediction processing is carried out on the working parameter range of each single pump and the target water supply amount based on the preset strategy determination model, the working parameters of each single pump reaching the minimum power consumption (predicted consumption data) are updated as the target working parameters on the premise of meeting the water demand (target water supply amount) of a user, and the predicted consumption data reach the minimum when the flow configured by the target pump set working strategy can meet the target flow in real time.
The target working parameters of each single pump are obtained by predicting the working parameter range and the target water supply amount of each single pump, so that the working parameters and the state parameters of the single pumps can timely meet the target parameter data in actual work.
Illustratively, the penalty function for the PPO algorithm training strategy is:
to prevent excessive divergence after policy updates, PPO truncates the ratio of the old and new policy distributions. Where θ is expressed as a parameter of the neural network in the policy network.
Representing the ratio of the motion distribution of the strategy output before and after optimization, and the side surface of the ratio measures the change degree of the strategy after optimization. E is a hyper-parameter to be set for defining the range in which the strategy can be boosted in one training, typically set to around 0.2. Prevailing function->
A delta representing the value of the selected action compared to the average value of the states, the larger the value, the better the selected action. When the selected action is better, the difference between the new strategy and the old strategy is not too large in the strategy lifting direction, and when the selected action is not good, namely the advantage value is negative, the sufficient optimization space in the strategy lifting direction is ensured.
According to the technical scheme, a pump room virtual environment is obtained, the pump room virtual environment comprises a plurality of single pump models, a plurality of pump group working strategies are obtained, a working sequence is generated based on the plurality of pump group working strategies, the pump group working strategies comprise working parameters of the single pumps, working simulation is sequentially carried out on the pump room virtual environment based on the working sequence, predicted water supply data and predicted consumption data corresponding to the pump group working strategies are obtained, and judgment is carried out on the pump group working strategies based on the predicted water supply data and the predicted consumption data, so that a target pump group working strategy is obtained. The pump set energy efficiency is optimized under the condition that the output flow of the pump set meets the requirement, and the effects of saving energy consumption and reducing power consumption cost are achieved.
Example two
Fig. 2 is a schematic structural diagram of a pump group operation prediction device according to a second embodiment of the present invention. As shown in fig. 2, the apparatus includes:
a pump room virtual environment obtaining module 210, configured to obtain a pump room virtual environment, where the pump room virtual environment includes multiple single pump models;
a work sequence generating module 220, configured to obtain a plurality of pump group work strategies, and generate a work sequence based on the plurality of pump group work strategies; the pump set working strategy comprises working parameters of each single pump;
the working simulation module 230 is configured to sequentially perform working simulation on the pump room virtual environment based on the working sequence to obtain predicted water supply data and predicted consumption data corresponding to the working strategies of each pump group;
and the working strategy obtaining module 240 is configured to determine each pump set working strategy based on the predicted water supply data and the predicted consumption data to obtain a target pump set working strategy.
Optionally, the single-pump model is used for performing prediction processing on the input working parameters and state parameters to obtain single-pump water supply data of predicted time.
Wherein the working parameters comprise working frequency, and the state parameters comprise current water level and current flow.
Optionally, the pump set operation prediction device includes:
and the single-pump model generation module is used for creating an initial single-pump model, acquiring historical training data to train the initial single-pump model to obtain a single-pump model, and verifying the single-pump model obtained by training based on unit-time-period verification data and multi-time-period verification total data.
Optionally, the working parameters of the single pump include a working frequency in a working state and idle data in an idle state;
optionally, the work sequence generating module 220 includes:
the data set generation module is used for forming a data set by the working parameters in the working strategy of each pump set based on the sequencing of each single pump;
and the first generation module is used for forming a working sequence based on the data group corresponding to each pump group working strategy.
Optionally, the work simulation module 230 includes:
the parameter configuration module is used for configuring the working parameters of each single-pump model based on any data set in the working sequence;
the predicted consumption data determining module is used for determining single pump consumption data corresponding to each single pump model based on the working parameters corresponding to the data set, and determining the predicted consumption data based on the sum of the single pump consumption data corresponding to each single pump model;
and the predicted water supply data determining module is used for performing prediction processing on the working parameters and the state parameters respectively based on the single-pump models in the pump room virtual environment to obtain the single-pump water supply data output by the single-pump models, and determining the predicted water supply data based on the sum of the single-pump water supply data output by the single-pump models.
Optionally, the work policy obtaining module 240 includes:
the candidate pump set working strategy determining module is used for acquiring target water supply amount, judging predicted water supply data corresponding to each pump set working strategy based on the target water supply amount, and determining candidate pump set working strategies of which the predicted water supply data are larger than the target water supply amount;
and the target pump set working strategy determining module is used for sequencing the candidate pump set working strategies based on the predicted consumption data and determining the candidate pump set working strategy corresponding to the minimum value of the predicted consumption data as the target pump set working strategy.
Optionally, the candidate pump group work strategy determining module further includes:
the water supply information acquisition unit is used for acquiring a water supply type, a water supply date and a water supply time interval, and setting mark data according to the water supply type, the water supply date and the water supply time interval, wherein marks corresponding to the water supply type comprise a resident type mark and an industrial type mark, marks corresponding to the water supply date comprise a working day mark and a holiday mark, and marks corresponding to the water supply time interval comprise a peak mark, a valley mark and a normal mark;
and the target water supply quantity obtaining unit is used for obtaining historical water supply data in a preset historical time period, and carrying out prediction processing on the historical water supply data and the marking data based on a water supply prediction model to obtain the target water supply quantity.
Optionally, the pump set operation prediction device further includes:
the single-pump working parameter range determining module is used for determining the working strategy of each pump set based on the predicted water supply data and the predicted consumption data to obtain a target pump set working strategy, and then determining the working parameter range of each single pump based on the working parameters of each single pump in the target pump set working strategy;
and the target working parameter determining module is used for determining a model based on a preset strategy and predicting the working parameter range and the target water supply amount of each single pump to obtain the target working parameters of each single pump, wherein the target working parameters of each single pump form an updated pump set working strategy.
The pump set work prediction device provided by the embodiment of the invention can execute the pump set work prediction method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the pump set operation prediction method.
In some embodiments, the pump set operation prediction method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the pump set operation prediction method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the pump group operation prediction method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the pump set operation prediction method of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
Example four
A fourth embodiment of the present invention provides a computer-readable storage medium, where computer instructions are stored, and the computer instructions are configured to enable a processor to execute a method for predicting pump operation, where the method includes:
acquiring a pump room virtual environment, wherein the pump room virtual environment comprises a plurality of single pump models; acquiring a plurality of pump group working strategies, and generating a working sequence based on the plurality of pump group working strategies; the pump set working strategy comprises working parameters of each single pump; sequentially carrying out work simulation on the pump room virtual environment based on the work sequence to obtain predicted water supply data and predicted consumption data corresponding to the work strategies of each pump set; and judging the working strategies of the pump sets based on the predicted water supply data and the predicted consumption data to obtain the working strategies of the target pump sets.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired result of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for predicting pump set operation, comprising:
acquiring a pump room virtual environment, wherein the pump room virtual environment comprises a plurality of single pump models;
acquiring a plurality of pump group working strategies, and generating a working sequence based on the plurality of pump group working strategies; the pump set working strategy comprises working parameters of each single pump;
sequentially carrying out work simulation on the pump room virtual environment based on the work sequence to obtain predicted water supply data and predicted consumption data corresponding to the work strategies of each pump set;
and judging the working strategies of the pump sets based on the predicted water supply data and the predicted consumption data to obtain the working strategies of the target pump sets.
2. The method according to claim 1, wherein the single-pump model is used for performing prediction processing on input working parameters and state parameters to obtain single-pump water supply data of predicted time; the working parameters comprise working frequency, and the state parameters comprise current water level and current flow;
the generation mode of the single-pump model comprises the following steps:
the method comprises the steps of creating an initial single-pump model, obtaining historical training data to train the initial single-pump model to obtain a single-pump model, and verifying the single-pump model obtained through training based on unit-time-period verification data and multi-time-period verification total data.
3. The method of claim 1, wherein the operating parameters of the single pump include an operating frequency in an operating state and null data in an idle state;
generating a work sequence based on the plurality of pump group work strategies, including:
forming a data set by the working parameters in the working strategy of each pump set based on the sequence of the single pumps;
and forming a working sequence based on the data groups respectively corresponding to the working strategies of the pump groups.
4. The method according to claim 3, wherein the sequentially performing the operation simulation on the pump room virtual environment based on the operation sequence to obtain the predicted water supply data and the predicted consumption data corresponding to the operation strategies of each pump group comprises:
configuring the working parameters of each single-pump model based on any data set in the working sequence;
determining single-pump consumption data corresponding to each single-pump model based on the working parameters corresponding to the data set, and determining the predicted consumption data based on the sum of the single-pump consumption data corresponding to each single-pump model;
and respectively predicting the working parameters and the state parameters based on the single pump models in the pump room virtual environment to obtain single pump water supply data output by the single pump models, and determining predicted water supply data based on the sum of the single pump water supply data output by the single pump models.
5. The method of claim 1, wherein determining each of the pump group operating strategies based on the predicted water supply data and predicted consumption data to obtain a target pump group operating strategy comprises:
acquiring target water supply quantity, judging predicted water supply data corresponding to each pump set working strategy based on the target water supply quantity, and determining candidate pump set working strategies of which the predicted water supply data are larger than the target water supply quantity;
and sequencing the candidate pump set working strategies based on the predicted consumption data, and determining the candidate pump set working strategy corresponding to the minimum value of the predicted consumption data as a target pump set working strategy.
6. The method of claim 5, wherein said obtaining a target water supply comprises:
acquiring a water supply type, a water supply date and a water supply time period, and setting mark data according to the water supply type, the water supply date and the water supply time period, wherein marks corresponding to the water supply type comprise a resident type mark and an industrial type mark, marks corresponding to the water supply date comprise a working day mark and a holiday mark, and marks corresponding to the water supply time period comprise a peak mark, a valley mark and a normal mark;
and acquiring historical water supply data in a preset historical time period, and performing prediction processing on the historical water supply data and the marking data based on a water supply prediction model to obtain a target water supply amount.
7. The method of claim 1, wherein after determining each of the pump-group operating strategies based on the predicted water supply data and predicted consumption data to arrive at a target pump-group operating strategy, the method further comprises:
determining the working parameter range of each single pump based on the working parameters of each single pump in the target pump set working strategy;
and based on a preset strategy determination model, carrying out prediction processing on the working parameter range and the target water supply amount of each single pump to obtain a target working parameter of each single pump, wherein the target working parameter of each single pump forms an updated pump set working strategy.
8. A pump unit operation prediction device, comprising:
the pump room virtual environment acquisition module is used for acquiring a pump room virtual environment, and the pump room virtual environment comprises a plurality of single pump models;
the working sequence generating module is used for acquiring a plurality of pump group working strategies and generating a working sequence based on the plurality of pump group working strategies; the pump set working strategy comprises working parameters of each single pump;
the working simulation module is used for sequentially carrying out working simulation on the pump room virtual environment based on the working sequence to obtain predicted water supply data and predicted consumption data corresponding to the working strategies of each pump group;
and the working strategy acquisition module is used for judging each pump set working strategy based on the predicted water supply data and the predicted consumption data to obtain a target pump set working strategy.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the pump group operation prediction method according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that it stores computer instructions for causing a processor to implement the pump group operation prediction method according to any one of claims 1-7 when executed.
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