CN115854410A - Pipe network hydraulic balance control method, device and system and storage medium - Google Patents
Pipe network hydraulic balance control method, device and system and storage medium Download PDFInfo
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Abstract
The application discloses a method, a device and a system for controlling the hydraulic balance of a pipe network and a storage medium, which are used for saving the labor cost. The method comprises the following steps: acquiring pipe network operation parameters including a valve opening value and water pump operation parameters; inputting the pipe network operation parameters into an offline optimization model to obtain a valve opening value and water pump operation parameters under the condition that the pipe network hydraulic power meets preset balance requirements; and adjusting the valve and the water pump according to the valve opening value and the water pump operation parameters under the condition that the hydraulic power of the pipe network meets the preset balance requirement. By adopting the scheme provided by the application, the control effect is ensured without human intervention, so that the control on the hydraulic balance of the pipe network can be realized without human intervention, and the labor cost is saved.
Description
Technical Field
The present disclosure relates to the field of cooling/heating system control technologies, and in particular, to a method, an apparatus, a system, and a storage medium for controlling hydraulic balance of a pipe network.
Background
With the rapid development of the building industry in recent years, the demand for heating/cooling has gradually increased, and the complexity of heating, ventilation and air conditioning systems has also increased along with the application of clean energy. Most of domestic projects are charged according to energy supply areas, users lack the ability of autonomous regulation, and the requirements of the user side on the comfort of heating/cooling are increasingly obvious. For a heating/cooling system, the most direct influence of imbalance of hydraulic balance is uneven cooling and heating of end users, which severely restricts the heating/cooling quality and also causes great waste of energy. Therefore, the technological innovation is reversed to the application scenario, and a great challenge is generated to the hydraulic balance of the pipe network.
Some countries begin to use computers to analyze the hydraulic working conditions of the heat supply pipe network, and the existing pipe network hydraulic balance control method is to perform hydraulic calculation on a multi-ring pipe network by simulating a loop flow method and node pressure of the heat supply pipe network. However, the above methods focus on the early planning and design of the pipe network, and mainly depend on the system simulation mode, and mostly use professional software such as Trnsys and Ansys to perform offline operation.
The existing hydraulic balance control method for the pipe network is mainly based on system simulation of a mechanism model, the existing simulation technology cannot completely simulate the operation condition of an actual pipe network, and certain errors exist, so that if the adjustment is directly carried out according to a simulation result, adjustment deviation inevitably exists, and therefore the hydraulic balance control method for the pipe network in the prior art still needs manual intervention to ensure the adjusted hydraulic balance effect.
Therefore, how to provide a pipe network hydraulic balance control method for realizing the control of the pipe network hydraulic balance without human intervention and saving the labor cost.
Disclosure of Invention
The application provides a pipe network hydraulic balance control method, device and system and a storage medium, which are used for saving labor cost.
The application provides a pipe network hydraulic balance control method, which comprises the following steps:
acquiring pipe network operation parameters including a valve opening value and water pump operation parameters;
inputting the pipe network operation parameters into an offline optimization model to obtain a valve opening value and water pump operation parameters under the condition that the pipe network hydraulic power meets preset balance requirements;
and adjusting the valve and the water pump according to the valve opening value and the water pump operation parameters under the condition that the hydraulic power of the pipe network meets the preset balance requirement.
The beneficial effect of this application lies in: the operation parameters of the pipe network can be automatically acquired, then the valve opening value and the water pump operation parameters under the condition that the pipe network hydraulic power meets the preset balance requirement are automatically calculated according to the operation parameters of the pipe network, the valve opening value and the water pump operation parameters under the condition that the pipe network hydraulic power meets the preset balance requirement are calculated according to the actual operation parameters of the pipe network instead of being obtained through simulation, therefore, the accuracy of a calculation result is improved, therefore, the valve opening value and the water pump operation parameters under the condition that the pipe network hydraulic power meets the preset balance requirement are adjusted for the valve and the water pump, the pipe network hydraulic power can be guaranteed to meet the preset balance requirement, the control effect is not guaranteed through human intervention, therefore, the control on the hydraulic balance of the pipe network can be realized under the condition that no human intervention exists, and the labor cost is saved.
In one embodiment, the obtaining of the pipe network operation parameters including the valve opening value and the water pump operation parameters includes:
acquiring preset parameters of a pipe network, wherein the preset parameters comprise: the temperature of supply and return water in the pipe network, the flow rate of the pipe network, the pressure of the pipe network, the opening degree of a valve and the operation parameters of a water pump;
and preprocessing the preset parameters to obtain the running parameters of the pipe network.
In one embodiment, the obtaining preset parameters of the pipe network includes:
and acquiring the temperature of supply and return water, the flow of the pipe network and the pressure of the pipe network according to a sensor arranged in the pipe network, and acquiring the opening of the valve and the operating parameters of the water pump according to the opening signal of the valve and the operating parameter signal of the water pump.
In one embodiment, the preprocessing the preset parameters to obtain the pipe network operation parameters includes:
converting the temperature of supply and return water, the flow of the pipe network and the pressure of the pipe network into a three-dimensional structure;
and adding the valve opening, the water pump operation parameters, a fitting curve of the water pump operation frequency and the flow of the pipe network, a fitting curve of the water pump operation frequency and the temperature difference of the pipe network, and a fitting curve of the water pump operation frequency and the pressure of the pipe network into the three-dimensional structure as hydraulic characteristics to obtain the pipe network operation parameters.
In one embodiment, the inputting the pipe network operation parameters into an offline tuning model to obtain a valve opening value and water pump operation parameters when the pipe network hydraulic power meets a preset balance requirement includes:
inputting pipe network operation parameters including valve opening values and water pump operation parameters into an offline optimization model;
acquiring pipe network hydraulic balance information output by the offline tuning model, wherein the offline tuning model is used for acquiring the pipe network hydraulic balance information according to the pipe network target parameters;
judging whether the pipe network hydraulic balance information output by the offline tuning model is in a preset interval or not;
and when the hydraulic balance information is in a preset interval, determining the valve opening value and the water pump operation parameter in the current pipe network operation parameter as the valve opening value and the water pump operation parameter under the condition of meeting the preset balance requirement.
In one embodiment, the method further comprises:
when the hydraulic balance information is not in a preset interval, under the condition that other target parameters except a valve opening value and a water pump operating parameter are not changed, updating the valve opening value and the water pump operating parameter in the target parameters and continuously inputting the values into the off-line tuning model to obtain the hydraulic balance information output by the off-line tuning model until the hydraulic balance information output by the off-line tuning model is in the preset interval;
and determining the valve opening value and the water pump operating parameter when the hydraulic balance information output by the off-line tuning and optimizing model is in a preset interval as the valve opening value and the water pump operating parameter under the condition of meeting the preset balance requirement.
In one embodiment, the determining whether the pipe network hydraulic balance information output by the offline tuning model is within a preset interval includes:
acquiring the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network output by the offline tuning model;
respectively judging whether the dynamic hydraulic power dispatching loss of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval;
when the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval, determining that pipe network hydraulic power balance information output by the offline tuning model is in the preset interval;
and when at least one of the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network is not in a preset interval, determining that the hydraulic power balance information of the pipe network output by the offline tuning model is not in the preset interval.
The application provides a pipe network hydraulic balance controlling means includes:
the first acquisition module is used for acquiring pipe network operation parameters including a valve opening value and water pump operation parameters;
the second acquisition module is used for inputting the pipe network operation parameters into an offline optimization model so as to acquire a valve opening value and water pump operation parameters under the condition that the pipe network hydraulic power meets the preset balance requirement;
the adjustment module is used for adjusting the position of the optical fiber, the valve and the water pump are adjusted according to the valve opening value and the water pump operation parameters under the condition that the hydraulic power of the pipe network meets the preset balance requirement.
In one embodiment, the first obtaining module includes:
the first obtaining submodule is used for obtaining preset parameters of a pipe network, wherein the preset parameters comprise: the temperature of supply and return water in the pipe network, the flow rate of the pipe network, the pressure of the pipe network, the opening degree of a valve and the operation parameters of a water pump;
and the preprocessing submodule is used for preprocessing the preset parameters to obtain the pipe network operation parameters.
In one embodiment, the first obtaining sub-module is configured to:
and acquiring the temperature of supply and return water, the flow of the pipe network and the pressure of the pipe network according to a sensor arranged in the pipe network, and acquiring the opening of the valve and the operating parameters of the water pump according to the opening signal of the valve and the operating parameter signal of the water pump.
In one embodiment, the pre-processing sub-module is configured to:
converting the temperature of supply and return water, the flow of the pipe network and the pressure of the pipe network into a three-dimensional structure;
and adding the valve opening, the water pump operation parameters, a fitting curve of the water pump operation frequency and the flow of the pipe network, a fitting curve of the water pump operation frequency and the temperature difference of the pipe network, and a fitting curve of the water pump operation frequency and the pressure of the pipe network into the three-dimensional structure as hydraulic characteristics to obtain the pipe network operation parameters.
In one embodiment, the second obtaining module includes:
the input submodule is used for inputting pipe network operation parameters including valve opening values and water pump operation parameters into the offline tuning model;
the second obtaining sub-module is used for obtaining pipe network hydraulic balance information output by the off-line tuning model, wherein the off-line tuning model is used for obtaining the pipe network hydraulic balance information according to the pipe network target parameter;
the judging sub-module is used for judging whether the pipe network hydraulic balance information output by the off-line tuning model is in a preset interval or not;
and the determining submodule is used for determining the valve opening value and the water pump operating parameter in the current pipe network operating parameter to meet the preset balance requirement when the hydraulic balance information is in the preset interval.
In one embodiment, the apparatus further comprises:
the updating module is used for updating the valve opening value and the water pump operating parameter in the target parameters and continuously inputting the updated values into the offline tuning model to obtain the hydraulic balance information output by the offline tuning model when the hydraulic balance information is not in the preset interval and other target parameters except the valve opening value and the water pump operating parameter are not changed until the hydraulic balance information output by the offline tuning model is in the preset interval;
and the determining module is used for determining the valve opening value and the water pump operating parameter when the hydraulic balance information output by the off-line tuning model is in a preset interval as the valve opening value and the water pump operating parameter under the condition of meeting the preset balance requirement.
In one embodiment, the determining sub-module is configured to:
acquiring the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network output by the offline tuning model;
respectively judging whether the dynamic hydraulic power dispatching loss of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval;
when the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval, determining that pipe network hydraulic power balance information output by the offline tuning model is in the preset interval;
and when at least one of the dynamic hydraulic power dispatching loss of the pipe network and the hydraulic power balance degree of the pipe network is not in a preset interval, determining that the pipe network hydraulic power balance information output by the offline dispatching and optimizing model is not in the preset interval.
The application also provides a pipe network hydraulic balance control system, includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the pipe network hydraulic balance control method described in any one of the above embodiments.
The present application further provides a computer-readable storage medium, wherein when instructions in the storage medium are executed by a processor corresponding to the pipe network hydraulic balance control system, the pipe network hydraulic balance control system can implement the pipe network hydraulic balance control method described in any one of the above embodiments.
Additional features and advantages of the present application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the present application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present application is further described in detail by the accompanying drawings and examples.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiment(s) of the application and together with the description serve to explain the application and not limit the application. In the drawings:
fig. 1 is a flowchart illustrating a method for controlling hydraulic balance of a pipe network according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a hydraulic balance control method for a pipe network according to another embodiment of the present application;
fig. 3 is an exemplary schematic diagram of converting the supply and return water temperature, the pipe network flow rate, and the pipe network pressure in the pipe network into a three-dimensional structure in an embodiment of the present application;
FIG. 4 is an exemplary illustration of the addition of hydraulic characteristics to a three-dimensional structure to form pipe network operating parameters in an embodiment of the present disclosure;
fig. 5 is a block diagram of a hydraulic balance control device for a pipe network according to an embodiment of the present disclosure;
fig. 6 is a schematic diagram of a hardware structure of a pipe network hydraulic balance control system according to an embodiment of the present application.
Detailed Description
The preferred embodiments of the present application will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present application and not to limit the present application.
Fig. 1 is a flowchart of a method for controlling hydraulic balance of a pipe network according to an embodiment of the present application, and as shown in fig. 1, the method can be implemented as the following steps S101-S103:
in step S101, acquiring a pipe network operation parameter including a valve opening value and a water pump operation parameter;
in step S102, the pipe network operation parameters are input into an offline tuning model to obtain a valve opening value and water pump operation parameters when the pipe network hydraulic power meets a preset balance requirement;
in step S103, the valve and the water pump are adjusted according to the valve opening value and the water pump operating parameter when the pipe network hydraulic power meets the preset balance requirement.
In the method, a pipe network operation parameter comprising a valve opening value and a water pump operation parameter is obtained; specifically, the temperature of supply and return water, the flow rate of the pipe network and the pressure of the pipe network can be obtained according to a sensor arranged in the pipe network, the opening degree of a valve and the operation parameter of a water pump can be obtained according to a valve opening degree signal and a water pump operation parameter signal, and then preprocessing the water supply and return temperature, the flow of the pipe network, the pressure of the pipe network, the opening of the valve and the operation parameters of the water pump in the pipe network, wherein the preprocessed water supply and return temperature, the flow of the pipe network, the pressure of the pipe network, the opening of the valve and the operation parameters of the water pump are the operation parameters of the pipe network.
The specific pretreatment process is as follows:
fig. 3 is an exemplary schematic diagram of converting water supply and return temperature, pipe network flow and pipe network pressure in a pipe network into a three-dimensional structure, fig. 4 is an exemplary schematic diagram of adding valve opening, water pump operating parameters, a fitting curve of water pump operating frequency and pipe network flow, a fitting curve of water pump operating frequency and pipe network temperature difference, and a fitting curve of water pump operating frequency and pipe network pressure as hydraulic characteristics to the three-dimensional structure to form the pipe network operating parameters, according to the method shown in fig. 3, the pipe network flow (i.e. the flow value shown in fig. 3), the pipe network pressure (i.e. the pressure value shown in fig. 3) and the water supply and return temperature (i.e. the temperature value shown in fig. 3) in the pipe network are converted into the three-dimensional structure according to three elements of time, number of node layers and correlation weight, the method comprises the steps of recording a flow value, a pressure value and a temperature value in a pipe network from three dimensions of time, the number of layers of nodes and an association weight, wherein the association weight can be calibrated in advance according to a topological structure of the pipe network, the association weight is normally distributed by taking a main node 1 as an original point, the time granularity can be 10 seconds, 1 minute is accumulated to serve as a data cluster, namely, the water supply and return temperature, the pipe network flow and the pipe network pressure are collected once every 10 seconds, and the collected water supply and return temperature, the pipe network flow and the pipe network pressure form a data cluster every 6 times of collection. Converting the temperature of supply and return water, the flow rate of the pipe network and the pressure of the pipe network into a three-dimensional structure as shown in figure 3; according to the method shown in fig. 4, a fitting curve of a valve opening, a water pump operation parameter, a water pump operation frequency and a pipe network flow, a fitting curve of a water pump operation frequency and a pipe network temperature difference, and a fitting curve of a water pump operation frequency and a pipe network pressure are added to the three-dimensional structure as hydraulic characteristics to obtain the pipe network operation parameter, and the change frequency of the parameters of the water pump operation frequency and the valve opening is low, so that the time granularity can be set to be longer, for example, the time granularity is 5 minutes, namely, the water pump frequency and the valve opening are acquired once in 5 minutes, and since the acquisition frequency of the water pump frequency and the valve opening is 5 minutes, 5 containing data clusters can be used as a data subset, so that the water supply and return temperature, the pipe network flow and the pipe network pressure acquired every 5 minutes can correspond to the parameters (the water pump frequency and the valve opening) acquired once in 5 minutes. The preprocessed pipe network operation parameters shown in fig. 4 are obtained in this way, that is, after the pipe network operation parameters shown in fig. 4 are formed, the pipe network operation parameters can be input into the offline tuning model as input data, and the standard data which is easier to read by the offline tuning model is obtained by converting the supply and return water temperature, the pipe network flow rate and the pipe network pressure in the pipe network into a three-dimensional structure, and adding the valve opening, the water pump operation parameters, the fitting curve of the water pump operation frequency and the pipe network flow rate, the fitting curve of the water pump operation frequency and the pipe network temperature difference, and the fitting curve of the water pump operation frequency and the pipe network pressure into the three-dimensional structure as hydraulic characteristics.
And inputting the pipe network operation parameters into an offline optimization model to obtain the valve opening value and the water pump operation parameters under the condition that the pipe network water power meets the preset balance requirement.
Specifically, pipe network operation parameters including a valve opening value and water pump operation parameters are input into an offline optimization model; acquiring pipe network hydraulic balance information output by the offline tuning model, wherein the offline tuning model is used for acquiring the pipe network hydraulic balance information according to the pipe network target parameters; and judging whether the pipe network hydraulic balance information output by the offline tuning model is in a preset interval.
When judging whether the pipe network hydraulic balance information output by the offline tuning model is in a preset interval, acquiring dynamic hydraulic power failure scheduling of the pipe network and hydraulic balance degree of the pipe network output by the offline tuning model; the dynamic hydraulic power dispatching loss of the pipe network can be determined according to the following formula:
X=QS/QJ;
wherein X is the dynamic hydraulic power failure scheduling of the pipe network, QS is the actual flow, and QJ is the design requirement flow.
The hydraulic balance degree of the pipe network can be determined according to the following formula:
r=QJ/Qmax;
wherein r is the hydraulic balance degree of the pipe network, QJ is the flow required by the design, and Qmax is the maximum flow which actually appears.
Respectively judging whether the dynamic hydraulic power dispatching loss of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval; when the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval, determining that pipe network hydraulic power balance information output by the offline tuning model is in the preset interval; and when at least one of the dynamic hydraulic power dispatching loss of the pipe network and the hydraulic power balance degree of the pipe network is not in a preset interval, determining that the pipe network hydraulic power balance information output by the offline dispatching and optimizing model is not in the preset interval. Specifically, the preset interval corresponding to the dynamic hydraulic power failure rate may be [95%,99% ]. That is, if X is less than 95%, it indicates that the dynamic hydraulic power failure rate is not within the corresponding preset interval. The preset interval corresponding to the hydraulic balance degree of the pipe network can also be [95%,99% ]. That is, if r is less than 95%, it indicates that the dynamic hydraulic balance is not within the corresponding preset interval.
And when the hydraulic balance information is in a preset interval, determining the valve opening value and the water pump operation parameter in the current pipe network operation parameters as the valve opening value and the water pump operation parameter under the condition of meeting the preset balance requirement.
When the hydraulic balance information is not in a preset interval, under the condition that other target parameters except the valve opening value and the water pump operation parameter are not changed, updating the valve opening value and the water pump operation parameter in the target parameters and continuously inputting the values into the offline tuning model to obtain the hydraulic balance information output by the offline tuning model until the hydraulic balance information output by the offline tuning model is in the preset interval; and determining the valve opening value and the water pump operating parameter when the hydraulic balance information output by the off-line tuning and optimizing model is in a preset interval as the valve opening value and the water pump operating parameter under the condition of meeting the preset balance requirement.
And adjusting the valve and the water pump according to the valve opening value and the water pump operation parameters under the condition that the hydraulic power of the pipe network meets the preset balance requirement.
A plurality of flow sensors and pressure sensors can be arranged in the pipeline network, and particularly, one flow sensor and one pressure sensor can be arranged in each pipeline, so that accurate flow values and pressure values in each pipeline can be obtained.
In addition, because the number of pipelines forming the pipe network is large, the method for arranging the sensors on each pipeline to carry out measurement has high test cost, the sensors with large number also need to be maintained and overhauled, and the method is huge workload, so that the test working efficiency is low. Therefore, in the present application, a limited number of flow sensors and pressure sensors may be sparsely arranged in the pipe network, and when the water pump frequency and the valve opening are fixed, the flow measured values and the pressure measured values in some specific pipes may be obtained through the limited number of flow sensors and pressure sensors, and then the impedance values of each pipe in the pipe network are identified according to the following steps 1 to 13:
step 1, setting an initial impedance value of a pipeline, and calculating the corresponding pipeline flow by adopting a basic loop method;
step 2, increasing the impedance value of a certain pipeline by a certain multiple (for example, increasing the impedance value to 5 times), calculating the corresponding pipeline flow at the moment by adopting a basic loop method, comparing the calculated pipeline flow with the initially calculated pipeline flow, and obtaining a comparison value of the impedance value of the pipeline with the flow change of other pipelines;
and 3, calculating each pipeline in the step 2 to obtain a contrast value of the impedance change of each pipeline to the flow change of other pipelines. Corresponding to a particular pipe a, the order of the other pipes that affect the flow of that pipe can be derived from the magnitude of the comparison. I.e. the impedance of the preceding pipe in the sequence, the greater the influence on the flow in pipe a. Summarizing and counting the data to obtain a (n-1) x (n-1) pipeline flow influence matrix;
step 4, according to step 2 and step 3, a (n-1) × (n-1) pipeline pressure influence matrix can be obtained. The pressure may be the inlet pressure or the outlet pressure of the conduit; the flow influence matrix comprises elements of a flow influence matrix, a pressure influence matrix and a network, wherein the elements of the flow influence matrix are the contrast value of the flow of a first specific pipeline when the impedance of each pipeline changes, the elements of the pressure influence matrix are the contrast value of the pressure of the first specific pipeline when the impedance of each pipeline changes, and the elements in the flow influence matrix and the elements in the pressure influence matrix are sequentially arranged according to the serial numbers of the pipelines in the network.
Step 5, corresponding to a specific certain actually measured working condition C, adopting the pipeline design impedance to carry out basic loop valve calculation to obtain the flow and pressure of the pipeline under the working condition;
step 6, corresponding to the working condition C, comparing the measured values of the pressure or flow measuring points arranged under the working condition with the calculated values in the step 5 to obtain corresponding absolute deviation and relative deviation of the pipelines;
and 7, according to the relative deviation obtained in the step 6, if the pipeline D is provided with measuring points and the relative deviation does not reach the precision range, adjusting the impedance of other pipelines according to the absolute deviation of the pipeline and the contrast value in the influence matrix of the pipeline, wherein the adjustment operation is to increase or reduce a certain numerical value, the absolute value of each adjustment is called a step length, and the positive and negative directions are called directions. The step size may be a fixed value or a variable value. The content of the adjustment method is mainly the direction. The adjusting method comprises the following steps: 1. the contrast value is positive, the absolute deviation is positive: the direction is positive; 2. when the contrast value is positive and the absolute deviation is negative: the direction is negative; 3. the contrast value is negative and the absolute deviation is positive: the direction is negative; 4. when the contrast value is negative and the absolute deviation is negative: the direction is positive; if the relative deviation of the pipeline D reaches the precision range, the pipeline does not need to be adjusted;
and 8, performing the operation of the step 7 on each pipeline with the measuring points, and adjusting the impedance value of each pipeline in the pipelines. If the impedance of a certain pipe is known, no adjustment is needed;
step 9, calculating the adjusted impedance value by a basic loop method to obtain corresponding flow and pressure distribution;
and 10, replacing the flow pressure in the step 5 with the flow pressure in the step 9, and repeating the steps 6, 7, 8 and 9 until the relative deviation of each pressure and each flow measurement point is within the precision allowable range. This condition is referred to as computational convergence under condition C;
step 11, corresponding to the next working condition, replacing the flow pressure in the step 5 with the flow pressure finally obtained in the step 10, and repeating the steps 6, 7, 8, 9 and 10 until the relative deviation of each pressure and flow measurement point is within the precision allowable range;
step 12, repeating the step 11 until the rest other working conditions are calculated;
and step 13, returning to the working condition C of the step 6, replacing the flow pressure in the step 6 with the flow pressure obtained in the step 12, and restarting the steps 6, 7, 8, 9, 10, 11 and 12 until the relative deviation of each pressure and flow rate point in each working condition is within the precision allowable range.
By the method, the impedance values of all pipelines in the pipe network can approach to the true value infinitely, and even are consistent with the true value.
After the impedance is identified, the flow rate of each pipeline and the pressure of each pipeline corresponding to the currently identified impedance can be calculated through a basic loop algorithm, so that all the pipe network flow rates and pipe network pressures are obtained.
The beneficial effect of this application lies in: the operation parameters of the pipe network can be automatically acquired, then the valve opening value and the water pump operation parameters under the condition that the pipe network hydraulic power meets the preset balance requirement are automatically calculated according to the operation parameters of the pipe network, the valve opening value and the water pump operation parameters under the condition that the pipe network hydraulic power meets the preset balance requirement are calculated according to the actual operation parameters of the pipe network instead of being obtained through simulation, therefore, the accuracy of a calculation result is improved, therefore, the valve opening value and the water pump operation parameters under the condition that the pipe network hydraulic power meets the preset balance requirement are adjusted for the valve and the water pump, the pipe network hydraulic power can be guaranteed to meet the preset balance requirement, the control effect is not guaranteed through human intervention, therefore, the control on the hydraulic balance of the pipe network can be realized under the condition that no human intervention exists, and the labor cost is saved.
In one embodiment, the above step S101 may be implemented as the following steps S201 to S202:
in step S201, preset parameters of a pipe network are obtained, where the preset parameters include: the temperature of supply and return water in the pipe network, the flow rate of the pipe network, the pressure of the pipe network, the opening degree of a valve and the operation parameters of a water pump;
in step S202, the preset parameters are preprocessed to obtain the pipe network operation parameters.
In one embodiment, the step S201 can be implemented as the following steps:
and acquiring the temperature of supply and return water, the flow of the pipe network and the pressure of the pipe network according to a sensor arranged in the pipe network, and acquiring the opening of the valve and the operating parameters of the water pump according to the opening signal of the valve and the operating parameter signal of the water pump.
In one embodiment, the above step S202 can be implemented as the following steps A1-A2:
in the step A1, converting the temperature of supply and return water, the flow rate of a pipe network and the pressure of the pipe network into a three-dimensional structure;
in the step A2, the valve opening, the water pump operation parameters, a fitting curve of the water pump operation frequency and the flow of the pipe network, a fitting curve of the water pump operation frequency and the temperature difference of the pipe network, and a fitting curve of the water pump operation frequency and the pressure of the pipe network are used as hydraulic characteristics to be added into the three-dimensional structure, so that the pipe network operation parameters are obtained.
In the application, the specific processing steps for preprocessing the preset parameters to obtain the pipe network operation parameters are as follows:
FIG. 3 is an exemplary diagram of converting a temperature of supply and return water, a flow rate of a pipe network, and a pressure of the pipe network into a three-dimensional structure, FIG. 4 is an exemplary diagram of adding a valve opening, a water pump operating parameter, a fitting curve of a water pump operating frequency and a flow rate of the pipe network, a fitting curve of a water pump operating frequency and a temperature difference of the pipe network, and a fitting curve of a water pump operating frequency and a pressure of the pipe network into the three-dimensional structure as hydraulic characteristics to form the operating parameters of the pipe network, according to the method shown in FIG. 3, the flow rate of the pipe network (i.e., the flow value shown in FIG. 3), the pressure of the pipe network (i.e., the pressure value shown in FIG. 3), and the temperature of the supply and return water (i.e., the temperature value shown in FIG. 3) in the pipe network are converted into the three-dimensional structure according to the time, the number of nodes, and the associated weights shown in FIG. 3, the flow value, the pressure value and the temperature value in the pipe network are recorded from three dimensions of time, node layer number and association weight, wherein the association weight can be calibrated in advance according to the topological structure of the pipe network, the association weight is normally distributed by taking a main node 1 as an original point, the time granularity can be 10 seconds, 1 minute is accumulated to be used as a data cluster, namely, the water supply and return temperature, the pipe network flow and the pipe network pressure are collected once every 10 seconds, and the collected water supply and return temperature, the pipe network flow and the pipe network pressure form a data cluster every 6 times. Converting the temperature of supply and return water, the flow rate of the pipe network and the pressure of the pipe network into a three-dimensional structure as shown in figure 3; according to the method shown in fig. 4, a fitting curve of a valve opening, a water pump operation parameter, a water pump operation frequency and a pipe network flow, a fitting curve of a water pump operation frequency and a pipe network temperature difference, and a fitting curve of a water pump operation frequency and a pipe network pressure are added to the three-dimensional structure as hydraulic characteristics to obtain the pipe network operation parameter, and the change frequency of the parameters of the water pump operation frequency and the valve opening is low, so that the time granularity can be set to be longer, for example, the time granularity is 5 minutes, namely, the water pump frequency and the valve opening are acquired once in 5 minutes, and since the acquisition frequency of the water pump frequency and the valve opening is 5 minutes, 5 containing data clusters can be used as a data subset, so that the water supply and return temperature, the pipe network flow and the pipe network pressure acquired every 5 minutes can correspond to the parameters (the water pump frequency and the valve opening) acquired once in 5 minutes. The preprocessed pipe network operation parameters shown in fig. 4 are obtained in this way, that is, after the pipe network operation parameters shown in fig. 4 are formed, the pipe network operation parameters can be input into the offline tuning model as input data, and the standard data which is easier to read by the offline tuning model is obtained by converting the supply and return water temperature, the pipe network flow rate and the pipe network pressure in the pipe network into a three-dimensional structure, and adding the valve opening, the water pump operation parameters, the fitting curve of the water pump operation frequency and the pipe network flow rate, the fitting curve of the water pump operation frequency and the pipe network temperature difference, and the fitting curve of the water pump operation frequency and the pipe network pressure into the three-dimensional structure as hydraulic characteristics. The water pump operation parameters may include the operation frequency of the water pump and the number of water pumps started.
In one embodiment, the above step S102 can be implemented as the following steps B1-B4:
in the step B1, inputting pipe network operation parameters including valve opening values and water pump operation parameters into an offline tuning model;
in the step B2, acquiring the pipe network hydraulic balance information output by the offline tuning model, wherein the offline tuning model is used for acquiring the pipe network hydraulic balance information according to the pipe network target parameter;
in the step B3, judging whether the pipe network hydraulic balance information output by the offline tuning model is in a preset interval or not;
in step B4, when the hydraulic balance information is within the preset interval, determining that the valve opening value and the water pump operation parameter in the current pipe network operation parameter are the valve opening value and the water pump operation parameter under the condition that the preset balance requirement is met.
In one embodiment, the method may also be implemented as the following steps C1-C2:
in step C1, when the hydraulic balance information is not in the preset interval, under the condition that other target parameters except the valve opening value and the water pump operation parameter are not changed, updating the valve opening value and the water pump operation parameter in the target parameters and continuously inputting the values into the offline tuning model to obtain the hydraulic balance information output by the offline tuning model until the hydraulic balance information output by the offline tuning model is in the preset interval;
in step C2, the valve opening value and the water pump operation parameter when the hydraulic balance information output by the offline tuning model is in the preset interval are determined to be the valve opening value and the water pump operation parameter under the condition of meeting the preset balance requirement.
In one embodiment, the above step B3 can be implemented as the following steps D1-D4:
in the step D1, acquiring the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network output by the offline tuning model;
in the step D2, respectively judging whether the dynamic hydraulic power dispatching loss of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval;
in the step D3, when the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval, determining that the pipe network hydraulic power balance information output by the offline tuning model is in the preset interval;
in step D4, when at least one of the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network is not in a preset interval, it is determined that the pipe network hydraulic power balance information output by the offline tuning model is not in the preset interval.
In this embodiment, when determining whether the pipe network hydraulic balance information output by the offline tuning model is within a preset interval, acquiring dynamic hydraulic power failure scheduling of the pipe network and hydraulic balance degree of the pipe network output by the offline tuning model; the dynamic hydraulic power dispatching loss of the pipe network can be determined according to the following formula:
X=QS/QJ;
wherein, X is the dynamic hydraulic power failure scheduling of the pipe network, QS is the actual flow, and QJ is the flow required by the design.
The hydraulic balance degree of the pipe network can be determined according to the following formula:
r=QJ/Qmax;
wherein r is the hydraulic balance degree of the pipe network, QJ is the flow required by the design, and Qmax is the maximum flow which actually appears.
Respectively judging whether the dynamic hydraulic power dispatching loss of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval; when the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval, determining that pipe network hydraulic power balance information output by the offline tuning model is in the preset interval; and when at least one of the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network is not in a preset interval, determining that the hydraulic power balance information of the pipe network output by the offline tuning model is not in the preset interval. Specifically, the preset interval corresponding to the dynamic hydraulic power failure rate may be [95%,99% ]. That is, if X is less than 95%, it indicates that the dynamic hydraulic power failure rate is not within the corresponding preset interval. The preset interval corresponding to the hydraulic balance degree of the pipe network can also be [95%,99% ]. Namely, if r is less than 95%, it indicates that the dynamic hydraulic balance degree is not in the corresponding preset interval.
Fig. 5 is a block diagram of a pipe network hydraulic balance control device provided in the present application, as shown in fig. 5, including:
the first acquisition module 51 is used for acquiring pipe network operation parameters including a valve opening value and water pump operation parameters;
the second obtaining module 52 is configured to input the pipe network operation parameters into an offline tuning model to obtain a valve opening value and water pump operation parameters when the pipe network hydraulic power meets a preset balance requirement;
and the adjusting module 53 is used for adjusting the valve and the water pump according to the valve opening value and the water pump operation parameters under the condition that the hydraulic power of the pipe network meets the preset balance requirement.
In one embodiment, the first obtaining module includes:
the first obtaining submodule is used for obtaining preset parameters of a pipe network, wherein the preset parameters comprise: the temperature of supply and return water in the pipe network, the flow rate of the pipe network, the pressure of the pipe network, the opening degree of a valve and the operation parameters of a water pump;
and the preprocessing submodule is used for preprocessing the preset parameters to obtain the pipe network operation parameters.
In one embodiment, the first obtaining sub-module is configured to:
and acquiring the temperature of supply and return water, the flow of the pipe network and the pressure of the pipe network according to a sensor arranged in the pipe network, and acquiring the opening of the valve and the operating parameters of the water pump according to the opening signal of the valve and the operating parameter signal of the water pump.
In one embodiment, the pre-processing sub-module is configured to:
converting the temperature of supply and return water, the flow of the pipe network and the pressure of the pipe network into a three-dimensional structure;
and adding the valve opening, the water pump operation parameters, a fitting curve of the water pump operation frequency and the flow of the pipe network, a fitting curve of the water pump operation frequency and the temperature difference of the pipe network, and a fitting curve of the water pump operation frequency and the pressure of the pipe network into the three-dimensional structure as hydraulic characteristics to obtain the pipe network operation parameters.
In one embodiment, the second obtaining module includes:
the input submodule is used for inputting pipe network operation parameters including valve opening values and water pump operation parameters into the offline tuning model;
the second obtaining sub-module is used for obtaining pipe network hydraulic balance information output by the off-line tuning model, wherein the off-line tuning model is used for obtaining the pipe network hydraulic balance information according to the pipe network target parameter;
the judging submodule is used for judging whether the pipe network hydraulic balance information output by the offline tuning model is in a preset interval or not;
and the determining submodule is used for determining the valve opening value and the water pump operating parameter in the current pipe network operating parameter to meet the preset balance requirement when the hydraulic balance information is in the preset interval.
In one embodiment, the apparatus further comprises:
the updating module is used for updating the valve opening value and the water pump operating parameter in the target parameters and continuously inputting the updated values into the offline tuning model to obtain the hydraulic balance information output by the offline tuning model when the hydraulic balance information is not in the preset interval and other target parameters except the valve opening value and the water pump operating parameter are not changed until the hydraulic balance information output by the offline tuning model is in the preset interval;
and the determining module is used for determining the valve opening value and the water pump operating parameter when the hydraulic balance information output by the off-line tuning model is in a preset interval as the valve opening value and the water pump operating parameter under the condition of meeting the preset balance requirement.
In one embodiment, the determining sub-module is configured to:
acquiring the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network output by the offline tuning model;
respectively judging whether the dynamic hydraulic power dispatching loss of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval;
when the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval, determining that pipe network hydraulic power balance information output by the offline tuning model is in the preset interval;
and when at least one of the dynamic hydraulic power dispatching loss of the pipe network and the hydraulic power balance degree of the pipe network is not in a preset interval, determining that the pipe network hydraulic power balance information output by the offline dispatching and optimizing model is not in the preset interval.
Fig. 6 is a schematic diagram of a hardware structure of a pipe network hydraulic balance control system according to the present application, as shown in fig. 6, including:
at least one processor 620; and (c) a second step of,
a memory 604 communicatively coupled to the at least one processor 620; wherein,
the memory 604 stores instructions executable by the at least one processor 620, and the instructions are executed by the at least one processor 620 to implement the pipe network hydraulic balance control method according to any one of the above embodiments.
Referring to fig. 6, the piping network hydraulic balance control system 600 may include one or more of the following components: processing component 602, memory 604, power component 606, multimedia component 608, audio component 610, input/output (I/O) interface 612, sensor component 614, and communication component 616.
The processing component 602 generally controls the overall operation of the pipe network hydraulic balance control system 600. The processing component 602 may include one or more processors 620 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 602 can include one or more modules that facilitate interaction between the processing component 602 and other components. For example, the processing component 602 can include a multimedia module to facilitate interaction between the multimedia component 608 and the processing component 602.
The memory 604 is configured to store various types of data to support the operation of the pipe network hydraulic balance control system 600. Examples of such data include instructions for any application or method operating on the pipe network hydraulic balance control system 600, such as text, pictures, video, and the like. The memory 604 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply module 606 provides power to the various components of the network hydraulic balance control system 600. Power components 606 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for in-vehicle control system 600.
The multimedia component 608 includes a screen that provides an output interface between the network hydraulic balance control system 600 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 608 may also include a front facing camera and/or a rear facing camera. When the pipe network hydraulic balance control system 600 is in an operation mode, such as a shooting mode or a video mode, the front-facing camera and/or the rear-facing camera can receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 610 is configured to output and/or input audio signals. For example, the audio component 610 includes a Microphone (MIC) configured to receive an external audio signal when the network hydraulic balance control system 600 is in an operational mode, such as an alarm mode, a recording mode, a voice recognition mode, and a voice output mode. The received audio signal may further be stored in the memory 604 or transmitted via the communication component 616. In some embodiments, audio component 610 further includes a speaker for outputting audio signals.
The I/O interface 612 provides an interface between the processing component 602 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 614 includes one or more sensors for providing various aspects of condition assessment for the ductwork hydraulic balance control system 600. For example, the sensor assembly 614 may include an acoustic sensor. In addition, the sensor component 614 can detect the on/off state of the pipe network hydraulic balance control system 600, the relative positioning of the components, such as the display and the keypad of the pipe network hydraulic balance control system 600, the operating state of the pipe network hydraulic balance control system 600 or the components of the pipe network hydraulic balance control system 600, the orientation or acceleration/deceleration of the pipe network hydraulic balance control system 600, and the temperature change of the pipe network hydraulic balance control system 600. The sensor assembly 614 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 614 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, and a temperature sensor.
The communication component 616 is configured to enable the pipe network hydraulic balance control system 600 to provide wired or wireless communication capabilities with other devices and cloud platforms. The ductwork hydraulic balance control system 600 may have access to a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the pipe network hydraulic balance control system 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors, or other electronic components for performing the pipe network hydraulic balance control method described in any of the above embodiments.
The present application further provides a computer-readable storage medium, wherein when instructions in the storage medium are executed by a processor corresponding to the pipe network hydraulic balance control system, the pipe network hydraulic balance control system can implement the pipe network hydraulic balance control method described in any one of the above embodiments.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A pipe network hydraulic balance control method is characterized by comprising the following steps:
acquiring a pipe network operation parameter comprising a valve opening value and a water pump operation parameter;
inputting the pipe network operation parameters into an offline tuning model to obtain a valve opening value and water pump operation parameters under the condition that the pipe network hydraulic power meets the preset balance requirement;
and adjusting the valve and the water pump according to the valve opening value and the water pump operation parameters under the condition that the hydraulic power of the pipe network meets the preset balance requirement.
2. The method of claim 1, wherein said obtaining pipe network operating parameters including valve opening values and water pump operating parameters comprises:
acquiring preset parameters of a pipe network, wherein the preset parameters comprise: water supply and return temperature in the pipe network, pipe network flow, pipe network pressure, valve opening and water pump operation parameters;
and preprocessing the preset parameters to obtain the running parameters of the pipe network.
3. The method of claim 2, wherein said obtaining preset parameters of a pipe network comprises:
and acquiring the temperature of supply and return water, the flow of the pipe network and the pressure of the pipe network according to a sensor arranged in the pipe network, and acquiring the opening of the valve and the operating parameters of the water pump according to the opening signal of the valve and the operating parameter signal of the water pump.
4. The method of claim 2, wherein said preprocessing said predetermined parameters to obtain said pipe network operating parameters comprises:
converting the temperature of supply and return water, the flow rate of the pipe network and the pressure of the pipe network into a three-dimensional structure;
and adding the valve opening, the water pump operation parameters, a fitting curve of the water pump operation frequency and the flow of the pipe network, a fitting curve of the water pump operation frequency and the temperature difference of the pipe network, and a fitting curve of the water pump operation frequency and the pressure of the pipe network into the three-dimensional structure as hydraulic characteristics to obtain the pipe network operation parameters.
5. The method of claim 1, wherein the inputting the pipe network operation parameters into an offline tuning model to obtain the valve opening value and the water pump operation parameters when the pipe network hydraulic power meets the preset balance requirement comprises:
inputting pipe network operation parameters including valve opening values and water pump operation parameters into an offline optimization model;
acquiring pipe network hydraulic balance information output by the offline tuning model, wherein the offline tuning model is used for acquiring the pipe network hydraulic balance information according to the pipe network target parameters;
judging whether the pipe network hydraulic balance information output by the offline tuning model is in a preset interval or not;
and when the hydraulic balance information is in a preset interval, determining the valve opening value and the water pump operation parameter in the current pipe network operation parameter as the valve opening value and the water pump operation parameter under the condition of meeting the preset balance requirement.
6. The method of claim 5, wherein the method further comprises:
when the hydraulic balance information is not in a preset interval, under the condition that other target parameters except the valve opening value and the water pump operation parameter are not changed, updating the valve opening value and the water pump operation parameter in the target parameters and continuously inputting the values into the offline tuning model to obtain the hydraulic balance information output by the offline tuning model until the hydraulic balance information output by the offline tuning model is in the preset interval;
and determining the valve opening value and the water pump operating parameter when the hydraulic balance information output by the off-line tuning and optimizing model is in a preset interval as the valve opening value and the water pump operating parameter under the condition of meeting the preset balance requirement.
7. The method of claim 5, wherein the determining whether the pipe network hydraulic balance information output by the offline tuning model is within a preset interval includes:
acquiring the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network output by the offline tuning model;
respectively judging whether the dynamic hydraulic power dispatching loss of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval;
when the dynamic hydraulic power failure rate of the pipe network and the hydraulic power balance degree of the pipe network are both in a preset interval, determining that pipe network hydraulic power balance information output by the offline tuning model is in the preset interval;
and when at least one of the dynamic hydraulic power dispatching loss of the pipe network and the hydraulic power balance degree of the pipe network is not in a preset interval, determining that the pipe network hydraulic power balance information output by the offline dispatching and optimizing model is not in the preset interval.
8. A pipe network hydraulic balance control device, comprising:
the first acquisition module is used for acquiring pipe network operation parameters including valve opening values and water pump operation parameters;
the second acquisition module is used for inputting the pipe network operation parameters into an offline optimization model so as to acquire a valve opening value and water pump operation parameters under the condition that the pipe network hydraulic power meets the preset balance requirement;
and the adjusting module is used for adjusting the valve and the water pump according to the valve opening value and the water pump operation parameters under the condition that the hydraulic power of the pipe network meets the preset balance requirement.
9. A pipe network hydraulic balance control system, comprising:
at least one processor; and (c) a second step of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to implement the pipe network hydraulic balance control method of any one of claims 1-7.
10. A computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor corresponding to a hydraulic balance control system of a pipe network, enable the hydraulic balance control system of the pipe network to implement the hydraulic balance control method of the pipe network according to any one of claims 1 to 7.
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CN117193140A (en) * | 2023-10-19 | 2023-12-08 | 中广核工程有限公司 | Method, device, computer equipment and storage medium for determining control parameters |
CN118092192A (en) * | 2024-04-23 | 2024-05-28 | 山东巧思智能科技有限公司 | Fluid canning parameter optimization control method and system |
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CN117193140A (en) * | 2023-10-19 | 2023-12-08 | 中广核工程有限公司 | Method, device, computer equipment and storage medium for determining control parameters |
CN117193140B (en) * | 2023-10-19 | 2024-07-16 | 中广核工程有限公司 | Method, device, computer equipment and storage medium for determining control parameters |
CN118092192A (en) * | 2024-04-23 | 2024-05-28 | 山东巧思智能科技有限公司 | Fluid canning parameter optimization control method and system |
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