CN117391395A - Automatic adjusting method and system for water supply system - Google Patents

Automatic adjusting method and system for water supply system Download PDF

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CN117391395A
CN117391395A CN202311579971.1A CN202311579971A CN117391395A CN 117391395 A CN117391395 A CN 117391395A CN 202311579971 A CN202311579971 A CN 202311579971A CN 117391395 A CN117391395 A CN 117391395A
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building
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李健熙
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Guangzhou Awmt Mechanical & Electrical Equipment Manufacturing Co ltd
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Abstract

The invention discloses an automatic adjusting method and system of a water supply system, which belongs to the technical field of intelligent water supply and comprises the following steps: collecting building parameters of a target building and historical water supply data of the target building, and obtaining a water supply distribution rule on the target building; the historical water supply data are arranged in time sequence, and a water supply generation rule on a target building is obtained; based on historical water supply data of a target building, a plurality of water supply activity parameters are obtained and are used as input parameters, the input parameters are input into a reproduction and evolution network for training, and meanwhile, a water supply distribution rule and a water supply generation rule are used as model constraint conditions, so that a water supply flow special model for automatically adjusting the water supply amount by collecting the water supply data of the target building is constructed; aiming at the user demands, the intelligent dynamic adjustment of the water supply demands is realized, the personalized customization demands of the user can be met, and a new technical idea is provided for intelligent water supply of the building.

Description

Automatic adjusting method and system for water supply system
Technical Field
The invention relates to the technical field of intelligent water supply, in particular to an automatic adjusting method and system of a water supply system.
Background
The water supply system is a complex of reservoirs, water pumps, pipelines and other projects required by different water departments according to certain quality requirements. The skill function of the water supply system is that the whole water supply system meets the requirements of users on water quality, water quantity and water pressure. The prior art lacks intelligent control to water supply, and the technical requirement of water supply on demand can not be met, so that the design of an automatic adjusting technology for a water supply system is urgently needed to realize the technical requirement of water supply on demand.
Disclosure of Invention
In order to solve the above problems, the present invention is directed to an automatic adjustment method and system for a water supply system, so as to meet the actual water demands of different users.
In order to achieve the above technical object, the present application provides an automatic adjustment method of a water supply system, including the following steps:
collecting building parameters of a target building and historical water supply data of the target building, and obtaining a water supply distribution rule on the target building, wherein the water supply distribution rule represents the distribution condition of the water supply rule of each user in the target building;
the historical water supply data are arranged in time sequence to obtain a water supply generation rule on the target building, wherein the water supply generation rule represents the generation rule of the total water supply flow of the target building in different time periods;
based on historical water supply data of a target building, a plurality of water supply activity parameters are obtained and are used as input parameters, the input parameters are input into a reproduction evolution network for training, meanwhile, a water supply distribution rule and a water supply generation rule are used as model constraint conditions, a water supply flow special model for automatically adjusting the water supply quantity by collecting the water supply data of the target building is constructed, and the water supply activity parameters represent water supply activity characteristics in a certain building space range and a certain period.
Preferably, in the procedure of acquiring the water supply distribution rule, preprocessing is performed on the historical water supply data, the data which can most represent the water supply distribution change is used as a reference basis, and the water supply distribution rule on a target building is analyzed according to the user type and the water supply use of a user and by combining building parameter data, wherein the preprocessing comprises screening processing, clustering processing and denoising processing, and the clustering processing adopts a k-means algorithm.
Preferably, in the process of acquiring the water supply occurrence rule, time sequence arrangement is performed according to the preprocessed historical water supply data, and the position of the bounding box, the class label and the corresponding confidence coefficient of the water supply on the target building are acquired through the feature pyramid network, so that the water supply occurrence rule of the water supply on the target building is acquired.
Preferably, in the process of acquiring the water supply activity parameters, based on the preprocessed historical water supply data, a classification algorithm is adopted to perform classification operation through selecting a classification standard, the acquired classification sample size proportion is compared with the total amount according to each acquired classification sample size, the classification sample sizes are sequentially ordered, and the water supply activity parameters of the target building are acquired according to a set proportion threshold.
Preferably, in the process of selecting the classification standard, the pipeline resistance loss and the water pump outlet pressure are used as the classification standard, a classification algorithm is adopted to perform classification operation, a preset time window and a time step are used as parameters, and the water supply activity parameter is obtained based on the obtained building parameters of the target building, wherein the classification algorithm adopts a KNN algorithm.
Preferably, in the process of generating the model constraint condition, taking the water supply distribution rule as a main reference condition, and acquiring a first relation of the water supply distribution rule relative to the water supply occurrence rule; taking the water supply generation rule as a main reference condition, and acquiring a second relation of the water supply generation rule relative to the water supply distribution rule; based on the first relationship and/or the second relationship, a model constraint is generated, wherein the model constraint is used for representing that at least one relationship of the first relationship and the second relationship needs to be satisfied when the water supply response is performed.
Preferably, in the process of constructing the water supply flow special model, the correlation between the water supply activity parameters is calculated, a factor analysis method is adopted, the loss information quantity is not more than 9% -10% as a standard, the water supply activity parameters are integrated into a plurality of nonlinear related common factors which are used as input parameters, the nonlinear related common factors are input into a reproduction evolution network model for training, and the water supply flow special model is constructed according to model constraint conditions, wherein the factor analysis method adopts a principal component analysis algorithm.
Preferably, after the water supply flow special model is constructed, a classification analysis rule of input data in the process of constructing the water supply flow special model is acquired, the rule is used as a data preprocessing means to process newly acquired water supply data, and then the water supply response is quickly performed as the input data of the water supply flow special model.
Preferably, in the water supply response process, based on the outlet pressure of the water pump, acquiring the first water inlet pressure of the user valve according to building parameters and pipeline resistance loss, comparing the acquired second water inlet pressure of the user valve, judging the accuracy of the first water inlet pressure according to the acquisition error of the acquired second water inlet pressure, and adaptively adjusting a water supply flow proprietary model;
through setting up the two-dimensional code, obtain the water supply pressure control instruction of registering one's residence of user input after the scanning two-dimensional code, according to second water inlet pressure and/or water pump outlet pressure, adjust user's water supply pressure of registering one's residence, wherein, water supply pressure control instruction of registering one's residence includes water supply pressure and water supply time, and water supply pressure of registering one's residence represents the pressure of the water of entering one's residence of user.
The invention discloses an automatic regulating system of a water supply system, which comprises:
the data acquisition module is used for acquiring building parameters of a target building and historical water supply data of the target building;
the first data processing module is used for acquiring a water supply distribution rule on a target building according to building parameters and historical water supply data, wherein the water supply distribution rule represents the distribution condition of the water supply rule of each user in the target building;
the data second processing module is used for carrying out time sequence arrangement on the historical water supply data to obtain a water supply generation rule on the target building, wherein the water supply generation rule represents the generation rule of the total water supply flow of the target building in different time periods;
the water supply adjusting module is used for automatically adjusting the water supply quantity according to the constructed water supply flow special model and through collected current water supply data of the target building, wherein based on historical water supply data of the target building, a plurality of water supply activity parameters are obtained and are used as input parameters to be input to the reproduction and evolution network for training, meanwhile, a water supply distribution rule and a water supply occurrence rule are used as model constraint conditions, the water supply flow special model is constructed, and the water supply activity parameters represent water supply activity characteristics in a certain building space range and a certain period.
The invention discloses the following technical effects:
aiming at the user demands, the intelligent dynamic adjustment of the water supply demands is realized, the personalized customization demands of the user are met, and a new technical idea is provided for intelligent water supply of the building.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of the method of the invention.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
As shown in fig. 1, aiming at the problems that the adjustment of a water supply system is not intelligent and the water demand of a user cannot be met in the prior art, the automatic adjustment method for the water supply system provided by the invention comprises the following steps: acquiring water supply flows of different time periods of different building parameters based on historical data; training the data to form a water supply flow proprietary model; inputting parameters to be evaluated into the model to obtain the water pump outlet flow at different periods; determining pipeline resistance loss through parameters of a water supply system to be evaluated so as to obtain water pump outlet pressures in different time periods; the water pump of the invention operates according to the pipe network characteristic curve by taking the water pump outlet flow and outlet pressure in different time periods as operation control instructions of the water pump control unit, so that the water supply according to the need is truly realized, the water supply curve is maximally close to the water supply curve, and the maximum energy saving effect can be achieved.
Specifically, example 1: the invention provides an automatic adjusting method of a water supply system, which comprises the following steps:
step 1: the invention collects the building parameters of the target building and the historical water supply data of the target building, and obtains the water supply distribution rule on the target building, wherein the water supply distribution rule is used for representing the distribution situation of the water supply rule of each user in the target building, and the distribution situation can comprise the water consumption habit rule information of the user such as the water consumption time period, the water consumption times and the like of the user, namely, the water supply situation of each user of the target building and the overall water supply distribution situation are determined through the water consumption habit rule of the user;
step 2: the historical water supply data are arranged in time sequence to obtain a water supply occurrence rule on the target building, wherein the water supply occurrence rule indicates the occurrence rule of the total water supply flow of the target building in different time periods, the historical water supply data are all data obtained based on time nodes, seasonal factors, working and rest time factors and other factors are also necessarily present, and the water supply rule of the building in time can be found by analyzing the data conditions based on the time factors, such as: holiday water supply conditions, morning, evening water supply conditions, seasonal water supply conditions, and the like;
step 3: based on the historical water supply data of the target building, a plurality of water supply activity parameters are obtained and are used as input parameters, the input parameters are input into a reproduction evolution network for training, meanwhile, a water supply distribution rule and a water supply generation rule are used as model constraint conditions, a water supply flow special model for automatically adjusting the water supply amount by collecting the water supply data of the target building is constructed, wherein the mentioned water supply activity parameters are used for representing water supply activity characteristics of a certain period in a certain building space range, and the water supply activity characteristics comprise the time and space distribution characteristics of water supply, the water supply frequency and the water supply intensity.
When the invention analyzes the water supply rule, the water supply rule is characterized by a certain characteristic set in the historical water supply data, so that the water supply occurrence regularity can be objectively reflected only by collecting the characteristic set, and in addition, the building parameter data of different buildings are obtained. For example, the water supply pipelines, floors and the like have certain influence on the water supply law, for example, the water pump outlet flow and pipeline resistance loss of different buildings are different, so that the water supply law needs to be adaptively adjusted, and therefore, the difference of the characteristics of the water supply data brought by the building parameter data should be fully considered during analysis, and further, the accuracy of intelligent distribution of water supply can be further improved.
When the water supply rule analysis is carried out, not only the characteristics of water supply data per se are considered, but also a time sequence step-by-step rule of the target building on water supply is considered, and then the step-by-step rule and the occurrence rule of the water supply condition of the target building can be found through analysis, so that a priori knowledge model can be established, and when water is supplied, rapid response can be carried out through priori knowledge, and the time of intelligent response of water supply can be shortened.
In the procedure of acquiring the water supply distribution rule, the invention preprocesses the historical water supply data, takes the data which can most represent the distribution change, such as the water supply quantity, the water supply time, the water supply floors and the like of each user as a reference basis, and analyzes the water supply distribution rule on a target building according to objective data such as the user type, the water supply purpose and the like of the user and the building parameter data, wherein the preprocessing comprises screening processing, clustering processing and denoising processing.
In the process of acquiring the water supply occurrence rule, the method and the device perform time sequence arrangement according to the preprocessed historical water supply data, acquire the bounding box position, class labels and corresponding confidence coefficient of water supply on the target building through the characteristic pyramid network, and further acquire the water supply occurrence rule of water supply on the target building.
In the process of acquiring the water supply activity parameters, the invention adopts a classification algorithm to carry out classification operation based on the preprocessed historical water supply data through selecting a classification standard, compares each acquired classification sample size with the total amount to acquire the classification sample size proportion and sequentially sorts the classification sample sizes, and acquires the water supply activity parameters of the target building according to a set proportion threshold value.
In the process of selecting the classification standard, the invention takes the pipeline resistance loss and the water pump outlet pressure as the classification standard, adopts a classification algorithm to carry out classification operation, takes a preset time window and a time step as parameters, and acquires the water supply activity parameters based on the acquired building parameters of the target building, wherein the classification algorithm adopts a KNN algorithm.
In the process of generating the constraint condition of the model, the invention takes the water supply distribution rule as a main reference condition to acquire a first relation of the water supply distribution rule relative to the water supply generation rule; taking the water supply generation rule as a main reference condition, and acquiring a second relation of the water supply generation rule relative to the water supply distribution rule; based on the first relationship and/or the second relationship, a model constraint is generated, wherein the model constraint is used for representing that at least one relationship of the first relationship and the second relationship needs to be satisfied when the water supply response is performed.
In the process of constructing the water supply flow special model, the invention calculates the correlation between the water supply activity parameters, adopts a factor analysis method, takes the loss information quantity not exceeding 9% -10% as a standard, synthesizes the water supply activity parameters into a plurality of nonlinear related common factors as input parameters, inputs the common factors into a reproduction evolution network model for training, and constructs the water supply flow special model according to model constraint conditions, wherein the factor analysis method adopts a principal component analysis algorithm.
In the process of preprocessing the historical water supply data, the clustering processing disclosed by the invention adopts a k-means algorithm.
In the process of acquiring the water supply activity parameters, the water supply activity parameters comprise: water supply frequency, water supply time, water supply activity index, water supply quantity, pipe resistance loss, water pump outlet pressure, and the like.
After the water supply flow special model is constructed, the classification analysis rule of the input data in the process of constructing the water supply flow special model is obtained, the rule is used as a data preprocessing means to process the newly obtained water supply data, and the newly obtained water supply data is used as the input data of the water supply flow special model to rapidly perform water supply response.
In the intelligent control of the water supply system according to the historical water supply data, the intelligent control of the water supply can be effectively realized according to the water usage rule of each user and the water supply generation rule of the building, namely, the intelligent control of the water supply of the building can be realized according to the factors such as seasons, time, space, types of users and the like, so that the water supply of each user is met, the reasonable operation of the whole water supply system in a busy water consumption or water consumption idle period can be ensured, and the technical basis is provided for intelligent water supply.
Example 2: aiming at the intelligent control scheme provided by the embodiment 1 of the invention, the invention also designs a control technology aiming at the personalized demands of users, which specifically comprises the following steps:
a first sensor is arranged at a water pump outlet of a building, water pump outlet pressure is obtained in real time, and the first water inlet pressure of a valve at each user is calculated according to building parameters of the building and pipeline resistance loss obtained by parameters of a water supply system;
the method comprises the steps that a second sensor is arranged at a valve of a user, the second water inlet pressure of the user is obtained, whether the first water inlet pressure is accurate or not is judged according to the first water inlet pressure and the measurement error of the sensor, a special model of water supply flow is adjusted to conduct targeted adjustment on intelligent water supply of different buildings, the judgment of the first water inlet pressure is only used for enabling the model to adapt to different buildings according to actual conditions, a specific process is achieved, main factors affecting the first water inlet pressure are found only according to the second water inlet pressure, building parameters, pipeline resistance loss and measurement error, and data coupling is conducted, so that the model is optimized, and is more suitable for the current building conditions.
Setting a two-dimensional code to be related to a second sensor and a control system for supplying water to a target building, wherein a user scans the two-dimensional code to acquire the current second water inlet pressure, if the user wants to temporarily adjust the inlet pressure, the control system can calculate the influence of the value on the whole water supply according to the adjusted pressure value and the duration, so as to adjust the whole water supply strategy according to the user demand, wherein when the user wants to increase the inlet pressure, the system needs to consider the outlet pressure of the water pump, the building parameters and the regulation capacity of a valve of the user on the second water inlet pressure to determine a regulation strategy, for example, the current water inlet pressure of the user only needs to adjust the valve, and then the system can realize the control requirement by adjusting the valve of the user and adjust the valve of the user back to the original opening in a reminding and confirming mode according to the duration; when the water inlet pressure of a user does not meet the adjustment requirement, namely, when the requirement of increasing the pressure cannot be met by adjusting the valve, the system can increase the water inlet pressure of the user by increasing the outlet pressure of the water pump, but at the moment, other users do not need to increase the pressure, the system can control the valve opening of the other users to ensure that the pressure of water used by the other users is unchanged, and at the moment of adjustment, the water inlet pressure of the user is increased in a linear adjustment mode, namely, along with the increase of the outlet pressure of the water pump, the valve opening is adjusted simultaneously, so that smooth switching is realized, and after the duration is reached, the outlet pressure of the water pump is reduced, and meanwhile, the valve opening of the user is adjusted, so that stable switching of the water pressure is realized. When the user wants to reduce the pressure of the inlet, the same as the pressure is increased, the opening of the valve can be adjusted to reduce the pressure of the inlet, and when the opening does not meet the pressure, the outlet pressure of the water pump is adjusted to meet the requirement of the user, and the pressure is adjusted in a similar way to the principle of pressure increase.
Aiming at the user demands, the intelligent dynamic adjustment of the water supply demands is realized, the personalized customization of the users is satisfied, and a new technical idea is provided for intelligent water supply of the building.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
In the description of the present invention, it should be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (10)

1. An automatic adjustment method of a water supply system is characterized by comprising the following steps:
collecting building parameters of a target building and historical water supply data of the target building, and obtaining a water supply distribution rule on the target building, wherein the water supply distribution rule represents the distribution condition of the water supply rule of each user in the target building;
the historical water supply data are arranged in time sequence to obtain a water supply generation rule on the target building, wherein the water supply generation rule represents the generation rule of the total water supply flow of the target building in different time periods;
based on the historical water supply data of the target building, a plurality of water supply activity parameters are obtained and are used as input parameters, the input parameters are input into a reproduction evolution network for training, meanwhile, the water supply distribution rule and the water supply occurrence rule are used as model constraint conditions, a water supply flow special model for automatically adjusting the water supply quantity by collecting the water supply data of the target building is built, and the water supply activity parameters represent water supply activity characteristics in a certain building space range and a certain period.
2. An automatic regulation method of a water supply system according to claim 1, characterized in that:
in the procedure of acquiring the water supply distribution rule, preprocessing historical water supply data, taking data which can most represent water supply distribution change as a reference basis, and analyzing the water supply distribution rule on a target building according to the user type and water supply of the user and combining building parameter data, wherein the preprocessing comprises screening processing, clustering processing and denoising processing, and the clustering processing adopts a k-means algorithm.
3. An automatic regulation method of a water supply system according to claim 2, characterized in that:
in the process of acquiring the water supply occurrence rule, time sequence arrangement is carried out according to the preprocessed historical water supply data, and the position of the bounding box, the class label and the corresponding confidence coefficient of the water supply on the target building are acquired through the characteristic pyramid network, so that the water supply occurrence rule of the water supply on the target building is acquired.
4. A method of automatically adjusting a water supply system according to claim 3, wherein:
in the process of acquiring the water supply activity parameters, based on the preprocessed historical water supply data, a classification algorithm is adopted to perform classification operation through selecting a classification standard, the acquired classification sample size proportion is compared with the total amount according to the acquired classification sample size and is sequenced in sequence, and the water supply activity parameters of the target building are acquired according to a set proportion threshold.
5. The method for automatically adjusting a water supply system according to claim 4, wherein:
in the process of selecting the classification standard, the pipeline resistance loss and the water pump outlet pressure are used as the classification standard, a classification algorithm is adopted to carry out classification operation, a preset time window and a time step are used as parameters, and the water supply activity parameter is obtained based on the obtained building parameters of the target building, wherein the classification algorithm adopts a KNN algorithm.
6. The method for automatically adjusting a water supply system according to claim 5, wherein:
in the process of generating the model constraint condition, taking the water supply distribution rule as a main reference condition, and acquiring a first relation of the water supply distribution rule relative to the water supply occurrence rule; taking the water supply generation rule as a main reference condition, and acquiring a second relation of the water supply generation rule relative to the water supply distribution rule; generating the model constraint condition based on the first relationship and/or the second relationship, wherein the model constraint condition is used for indicating that at least one relationship of the first relationship and the second relationship needs to be satisfied when water supply response is performed.
7. The method for automatically adjusting a water supply system according to claim 6, wherein:
in the process of constructing the water supply flow special model, calculating the correlation between every two water supply activity parameters, adopting a factor analysis method, taking the loss information quantity not exceeding 9% -10% as a standard, synthesizing the water supply activity parameters into a plurality of nonlinear related common factors as input parameters, inputting the common factors into a reproduction evolution network model for training, and constructing the water supply flow special model according to the model constraint conditions, wherein the factor analysis method adopts a principal component analysis algorithm.
8. The method for automatically adjusting a water supply according to claim 7, wherein:
after the water supply flow special model is constructed, a classification analysis rule of input data in the process of constructing the water supply flow special model is obtained, the rule is used as a data preprocessing means to process newly obtained water supply data, and then the water supply response is quickly carried out as the input data of the water supply flow special model.
9. The method for automatically adjusting a water supply system according to claim 8, wherein:
in the water supply response process, based on the water pump outlet pressure, acquiring a first water inlet pressure of a user valve according to the building parameters and the pipeline resistance loss, comparing by acquiring a second water inlet pressure of the user valve, judging the accuracy of the first water inlet pressure according to an acquisition error of acquiring the second water inlet pressure, and adaptively adjusting the water supply flow proprietary model;
the two-dimension code is arranged, a household water supply pressure control instruction input by the user after the user scans the two-dimension code is obtained, and the household water supply pressure of the user is adjusted according to the second water inlet pressure and/or the water pump outlet pressure, wherein the household water supply pressure control instruction comprises household water supply pressure and water supply time, and the household water supply pressure represents the pressure of water entering the user.
10. An automatic regulation system for a water supply system, comprising:
the data acquisition module is used for acquiring building parameters of a target building and historical water supply data of the target building;
the data first processing module is used for acquiring a water supply distribution rule on the target building according to the building parameters and the historical water supply data, wherein the water supply distribution rule represents the distribution condition of the water supply rule of each user in the target building;
the data second processing module is used for arranging the historical water supply data in a time sequence to obtain a water supply generation rule on the target building, wherein the water supply generation rule represents the generation rule of the total water supply flow of the target building in different time periods;
the water supply adjusting module is used for automatically adjusting the water supply quantity according to the constructed water supply flow special model and through collected current water supply data of a target building, wherein the water supply special model is constructed by taking a plurality of water supply activity parameters as input parameters and inputting the water supply activity parameters into a reproduction and evolution network for training and taking the water supply distribution rule and the water supply occurrence rule as model constraint conditions, and the water supply activity parameters represent water supply activity characteristics in a certain building space range and a certain period.
CN202311579971.1A 2023-11-24 2023-11-24 Automatic adjusting method and system for water supply system Pending CN117391395A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110045413A (en) * 2019-04-22 2019-07-23 中国地质大学（北京） A kind of Earthquake Short-term method and apparatus
CN114781716A (en) * 2022-04-18 2022-07-22 上海市嘉定自来水有限公司 Training method of water model, secondary water supply control method, system and equipment
CN114970064A (en) * 2022-06-01 2022-08-30 中冶赛迪信息技术(重庆)有限公司 Water supply scheme acquisition method and device, electronic equipment and medium
CN115951404A (en) * 2023-02-06 2023-04-11 中南大学 Seismic source positioning method and system based on historical data

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110045413A (en) * 2019-04-22 2019-07-23 中国地质大学（北京） A kind of Earthquake Short-term method and apparatus
CN114781716A (en) * 2022-04-18 2022-07-22 上海市嘉定自来水有限公司 Training method of water model, secondary water supply control method, system and equipment
CN114970064A (en) * 2022-06-01 2022-08-30 中冶赛迪信息技术(重庆)有限公司 Water supply scheme acquisition method and device, electronic equipment and medium
CN115951404A (en) * 2023-02-06 2023-04-11 中南大学 Seismic source positioning method and system based on historical data

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