Segmented water supply water pump control system and control method

Abstract

The invention relates to a segmented water supply water pump control system and method, and the system comprises a camera device which is used for collecting the images of pedestrians entering and exiting a community, and obtaining a pedestrian image data set; the control device is connected with the camera device and is used for predicting the occupancy rate of the community according to the data in the human image data set and generating a flow control signal according to the occupancy rate; the water pump is connected with the control device and used for adjusting the flow of the water pump according to the flow control signal so as to adjust the supply quantity of the tap water in the community; the occupancy rate is predicted in real time through the pedestrian images of the community, the water supply amount of the community is regulated and controlled in real time according to the predicted occupancy rate, even if the population flow of the community is large, the water supply amount can be regulated and controlled in time, the water pump can be adjusted to increase the flow in the time period when the pedestrian flow of the community is large, and the water supply requirements of many people are met.

Description

Technical Field

[0001] The present invention relates to the technical field of community water supply, and particularly relates to a water pump control system and a control method for segmented water supply. Background Art

[0002] Community water supply is mainly achieved by establishing a water supply system, which usually consists of multiple water supply valves. These multiple water supply valves control the water supply to each building in the community. This water supply method is usually used in communities with relatively low floors. However, communities with relatively high floors usually have one or more sets of water supply systems, that is, water pumps are used to boost the pressure of tap water to meet the water pressure requirements for different floors of each building in the community. This water supply method usually uses multiple water pumps for water supply, and each water pump corresponds to at least one building.

[0003] Although the method of setting booster pumps for water supply in communities or neighborhoods ensures the water supply pressure for each floor of each building, due to the relatively low occupancy rate or large mobility of residents in many communities or neighborhoods, the occupancy rate of a building often increases or decreases by 30% within a month, resulting in the need to adjust the water supply flow of the building to meet the water supply demand. As a result, the property management of the community or neighborhood needs to statistically monitor the occupancy situation of each building in real time to adjust the water supply volume of each building, thus increasing the labor force. If the water supply volume is not adjusted in a timely manner after the occupancy rate decreases, it may cause excessive water supply volume and energy waste. Summary of the Invention

[0004] In order to solve the technical problems in the prior art, such as the inability to timely adjust the water supply volume of each building in a community or neighborhood, resulting in insufficient water supply volume or energy waste, the present invention provides a water pump control system and a control method for segmented water supply.

[0005] The technical solution of the present invention to solve the above technical problems is as follows:

[0006] A water pump control system for segmented water supply, comprising:

[0007] A camera device, configured to collect pedestrian images entering and leaving the community to obtain a pedestrian image dataset;

[0008] A control device, connected to the camera device, configured to predict the occupancy rate of the community according to the data in the pedestrian image dataset, and generate a flow control signal according to the occupancy rate;

[0009] A water pump, connected to the control device, configured to adjust its own flow according to the flow control signal to adjust the supply volume of tap water in the community.

[0010] The beneficial effects of the present invention are as follows: The occupancy rate is predicted in real time through the pedestrian images in the community, and the water supply of the community is regulated in real time according to the predicted occupancy rate. Even if the population flow in the community is relatively large, the water supply can be regulated in a timely manner, so that the community can adjust the water pump to increase the flow rate during the period with a large pedestrian flow to meet the water supply needs of a larger population. At the same time, according to the occupancy rate predicted based on the pedestrians, the water supply can also be reduced in a timely manner when there are fewer pedestrians in the community to reduce the waste of resources and energy.

[0011] On the basis of the above technical solutions, the present invention can be further improved as follows.

[0012] Further, a plurality of the imaging devices are provided, the community includes a plurality of residential buildings, and the plurality of residential buildings correspond to the plurality of imaging devices one by one. A plurality of water pumps are provided, and the plurality of water pumps correspond to the plurality of residential buildings one by one;

[0013] Each of the imaging devices is specifically configured to collect pedestrian images of pedestrians entering and leaving the corresponding residential building to obtain a plurality of pedestrian image data of the corresponding residential building. Among them, there are a plurality of the pedestrian image data sets, and the plurality of pedestrian image data sets correspond to the plurality of residential buildings one by one. Each of the pedestrian image data sets includes a plurality of the pedestrian image data of the corresponding residential building;

[0014] The control device is specifically configured to predict the occupancy rate of each residential building according to the pedestrian image data in each of the pedestrian image data sets, and generate a corresponding flow control signal according to the occupancy rate of each residential building;

[0015] Each of the water pumps is specifically configured to adjust its own flow rate according to the corresponding flow control signal to adjust the water supply of the corresponding residential building.

[0016] Further, the control device is specifically configured to identify the pedestrian features in the pedestrian image data in each of the pedestrian image data sets by using a computer vision recognition method, and calculate the number of features with the pedestrian features in all the pedestrian image data in each of the pedestrian image data sets to obtain the pedestrian flow of the residential building corresponding to each of the pedestrian image data sets; calculate the occupancy rate corresponding to each residential building according to the pedestrian flow of each residential building.

[0017] Further, the control device is specifically configured to construct a computer vision recognition model and a computer vision counting model; extract some of the pedestrian image data from each pedestrian image dataset and integrate the data into a training dataset; use the data in the training dataset to train the computer vision recognition model and the computer vision counting model respectively to obtain a crowd feature recognition model and a crowd flow counting model; use the crowd feature recognition model to recognize the pedestrian features in the pedestrian image data of each pedestrian image dataset, and use the crowd flow counting model to calculate the number of features with the pedestrian features in all the pedestrian image data of each pedestrian image dataset, so as to obtain the crowd flow of the corresponding residential building for each pedestrian image dataset.

[0018] Further, the computer vision recognition model is a histogram of oriented gradients algorithm model, and the computer vision counting model is a CSRNet model.

[0019] Further, it further includes a community management server, and the community management server is connected to the control device;

[0020] The community management server is used to record the number of residents in the community and calculate the actual population occupancy rate according to the number of residents;

[0021] The control device is specifically configured to judge whether to execute the normal water supply mode according to the actual population occupancy rate. If so, generate a water supply adjustment signal according to the actual population occupancy rate; if not, predict the occupancy rate of each residential building according to the pedestrian image data in each pedestrian image dataset, and generate a corresponding flow control signal according to the occupancy rate of each residential building;

[0022] Each water pump is specifically configured to adjust its own flow according to the water supply adjustment signal or the corresponding flow control signal, so as to adjust the supply volume of tap water for the corresponding residential building.

[0023] Further, the community management server divides the number of residents by the preset population number to obtain the actual population occupancy rate.

[0024] Further, the control device is specifically configured to determine to execute the normal water supply mode if the actual population occupancy rate is greater than or equal to 80%; determine not to execute the normal water supply mode if the actual population occupancy rate is less than 80%.

[0025] Further, if it is determined to execute the normal water supply mode, each of the water pumps is specifically configured to adjust its own flow rate according to the water supply adjustment signal to adjust the supply volume of the tap water in the corresponding residential building; if it is determined not to execute the normal water supply mode, each of the water pumps is specifically configured to adjust its own flow rate according to the corresponding flow control signal to adjust the supply volume of the tap water in the corresponding residential building.

[0026] To solve the above technical problems, the present invention also provides a control method for a water pump control system with segmented water supply, and its specific technical content is as follows:

[0027] A control method applied to the above-mentioned water pump control system with segmented water supply, characterized by including the following steps:

[0028] Collect pedestrian images entering and leaving the community by using a camera device to obtain a pedestrian image data set;

[0029] Use a control device to predict the occupancy rate of the community according to the data in the human image data set, and generate a flow control signal according to the occupancy rate;

[0030] Use a water pump to adjust its own flow rate according to the flow control signal to adjust the supply volume of the tap water in the community. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic structural diagram of a water pump control system with segmented water supply in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The principles and features of the present invention will be described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0033] As Figure 1 shown, the present embodiment provides a water pump control system with segmented water supply, including:

[0034] A camera device for collecting pedestrian images entering and leaving the community to obtain a pedestrian image data set;

[0035] A control device connected to the camera device for predicting the occupancy rate of the community according to the data in the human image data set and generating a flow control signal according to the occupancy rate;

[0036] A water pump connected to the control device for adjusting its own flow rate according to the flow control signal to adjust the supply volume of the tap water in the community.

[0037] Predict the occupancy rate in real time based on the pedestrian images in the community, and adjust the water supply of the community in real time according to the predicted occupancy rate. Even if the population flow in the community is relatively large, the water supply can be adjusted in a timely manner, so that the community can adjust the water pump to increase the flow rate during the period with a large pedestrian flow to meet the water supply needs of a large number of people. At the same time, according to the occupancy rate predicted by pedestrians, the water supply can also be reduced in a timely manner when there are fewer pedestrians in the community to reduce the waste of resources and energy.

[0038] In some embodiments, there are multiple camera devices, the community includes multiple residential buildings, and the multiple residential buildings correspond to the multiple camera devices one by one. There are multiple water pumps, and the multiple water pumps correspond to the multiple residential buildings one by one.

[0039] Each camera device is specifically configured to collect pedestrian images of people entering and leaving the corresponding residential building to obtain multiple pedestrian image data of the corresponding residential building. Among them, there are multiple pedestrian image data sets, and the multiple pedestrian image data sets correspond to the multiple residential buildings one by one. Each pedestrian image data set includes multiple pedestrian image data of the corresponding residential building.

[0040] The control device is specifically configured to predict the occupancy rate of each residential building according to the pedestrian image data in each pedestrian image data set, and generate a corresponding flow control signal according to the occupancy rate of each residential building.

[0041] Each water pump is specifically configured to adjust its own flow rate according to the corresponding flow control signal to adjust the water supply of the corresponding residential building.

[0042] For example, a certain community has four residential buildings, namely Building A, Building B, Building C, and Building D. There are also four camera devices, with one camera device installed at the entrances and exits of Building A, Building B, Building C, and Building D respectively. At the same time, multiple water pumps can be configured for each building, that is, multiple water pumps supply water to one residential building at the same time to meet the water supply needs of high-rise residential buildings.

[0043] By adjusting the water supply of each residential building separately, the energy waste rate can be further reduced. For example, when there are more pedestrians entering and leaving Building A and fewer pedestrians entering and leaving Building B, the water supply of Building A and Building B can be adjusted according to the occupancy rates of Building A and Building B respectively.

[0044] In some embodiments, the control device is specifically configured to use a computer vision recognition method to recognize the pedestrian features in the pedestrian image data in each of the pedestrian image data sets, and calculate the number of features with the pedestrian features in all the pedestrian image data in each of the pedestrian image data sets, so as to obtain the pedestrian flow of the residential building corresponding to each of the pedestrian image data sets; calculate the occupancy rate corresponding to each of the residential buildings according to the pedestrian flow of each of the residential buildings.

[0045] In some embodiments, the control device is specifically configured to construct a computer vision recognition model and a computer vision counting model; extract some of the pedestrian image data in each of the pedestrian image data sets and integrate them into a training data set; use the data in the training data set to train the computer vision recognition model and the computer vision counting model respectively to obtain a pedestrian flow feature recognition model and a pedestrian flow counting model; use the pedestrian flow feature recognition model to recognize the pedestrian features in the pedestrian image data in each of the pedestrian image data sets, and use the pedestrian flow counting model to calculate the number of features with the pedestrian features in all the pedestrian image data in each of the pedestrian image data sets, so as to obtain the pedestrian flow of the residential building corresponding to each of the pedestrian image data sets.

[0046] In some embodiments, the computer vision recognition model is a histogram of oriented gradients algorithm model, and the computer vision counting model is a CSRNet model. Among them, CSRNet is an algorithm based on deep learning, mainly used for crowd density estimation and crowd counting. It solves the problem of crowd counting in highly congested scenarios by using dilated convolutional neural networks.

[0047] In some embodiments, it further includes a community management server, and the community management server is connected to the control device;

[0048] The community management server is used to record the number of occupied people in the community, and calculate the actual population occupancy ratio according to the number of occupied people; wherein, the community management server divides the number of occupied people by the preset population number to obtain the actual population occupancy ratio; the preset population number is the upper limit of the population that the community can accommodate or the preset population number when the occupancy rate of the community is 100%.

[0049] The control device is specifically configured to determine whether to execute the normal water supply mode according to the actual population occupancy ratio. If so, a water supply adjustment signal is generated according to the actual population occupancy ratio; if not, the occupancy rate of each residential building is predicted according to the pedestrian image data in each pedestrian image dataset, and a corresponding flow control signal is generated according to the occupancy rate of each residential building.

[0050] Each water pump is specifically configured to adjust its own flow according to the water supply adjustment signal or the corresponding flow control signal, so as to adjust the supply volume of tap water in the corresponding residential building.

[0051] In this embodiment, by judging the water supply mode, when the normal water supply mode is executed, it is directly possible to adjust the water supply volume of each residential building according to the actual population occupancy ratio without calculating the actual population occupancy ratio based on the registered population quantity; there is no need to predict the occupancy rate according to the images of pedestrians anymore, which can save computing power in the image processing process.

[0052] In some embodiments, the control device is specifically configured to determine to execute the normal water supply mode if the actual population occupancy ratio is greater than or equal to 80%; if the actual population occupancy ratio is less than 80%, it is determined not to execute the normal water supply mode. Specifically, if it is determined to execute the normal water supply mode, each water pump is specifically configured to adjust its own flow according to the water supply adjustment signal, so as to adjust the supply volume of tap water in the corresponding residential building; if it is determined not to execute the normal water supply mode, each water pump is specifically configured to adjust its own flow according to the corresponding flow control signal, so as to adjust the supply volume of tap water in the corresponding residential building.

[0053] Generally, when the occupancy rate of a community reaches 80%, the community has reached the normal occupancy standard, indicating that the population of the community is basically saturated and a normal water supply control method is required; when it is lower than 80%, it indicates that the occupancy rate of the community is low or the population mobility is relatively large. If the water supply is still adjusted according to the registered occupancy population quantity, it may cause waste of resources or energy. Therefore, when the occupancy rate is lower than 80%, the method of computer vision recognition and counting can be used to statistically analyze the incoming and outgoing population of each residential building, and the occupancy rate of each residential building is predicted according to the incoming and outgoing population quantity of each residential building, so as to adjust the water supply of the residential building and reduce resource waste.

[0054] In some other embodiments, a control method applied to the water pump control system for segmented water supply described above is further provided, which is characterized by including the following steps:

[0055] Collect pedestrian images of people entering and leaving the community by using a camera device to obtain a pedestrian image dataset;

[0056] The control device is used to predict the occupancy rate of the community according to the data in the human image dataset, and generate a flow control signal according to the occupancy rate;

[0057] The water pump is used to adjust its own flow rate according to the flow control signal so as to adjust the supply amount of the tap water in the community.

[0058] The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the concept and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A water pump control system for segmented water supply, characterized in that: include: A camera device is used to collect images of pedestrians entering and leaving the community to obtain a pedestrian image dataset; a control device, connected to the camera device, for predicting the occupancy rate of the community based on the data in the human image data set, and generating a flow control signal based on the occupancy rate; A water pump is connected to the control device and is used to adjust its own flow rate according to the flow control signal to adjust the supply of tap water in the community.

2. The water pump control system for segmented water supply according to claim 1, characterized in that: There are multiple camera devices, the community includes multiple residential buildings, the multiple residential buildings correspond to the multiple camera devices one-to-one, and there are multiple water pumps, the multiple water pumps correspond to the multiple residential buildings one-to-one; Each of the camera devices is specifically used to collect images of pedestrians entering and exiting the corresponding residential building, and obtain a plurality of pedestrian image data of the corresponding residential building; wherein the pedestrian image data set consists of a plurality of pedestrian image data sets corresponding one to one to a plurality of the residential buildings, and each of the pedestrian image data sets includes a plurality of pedestrian image data of the corresponding residential building; The control device is specifically used to predict the occupancy rate of each of the residential buildings according to the pedestrian image data in each of the pedestrian image data sets, and generate the corresponding flow control signal according to the occupancy rate of each of the residential buildings; Each of the water pumps is specifically used to adjust its own flow rate according to the corresponding flow control signal to adjust the supply of tap water to the corresponding residential building.

3. The water pump control system for segmented water supply according to claim 2, characterized in that: The control device is specifically used to identify pedestrian features in the pedestrian image data in each of the pedestrian image data sets by using a computer vision recognition method, and calculate the number of features having the pedestrian features in all the pedestrian image data in each of the pedestrian image data sets, so as to obtain the pedestrian flow of the residential building corresponding to each of the pedestrian image data sets; The occupancy rate corresponding to each of the residential buildings is calculated according to the flow of people in each of the residential buildings.

4. The water pump control system for segmented water supply according to claim 3, characterized in that: The control device is specifically used to construct a computer vision recognition model and a computer vision counting model; extract part of the pedestrian image data in each pedestrian image data set to integrate the data into a training data set; use the data in the training data set to train the computer vision recognition model and the computer vision counting model to obtain a crowd feature recognition model and a crowd flow counting model respectively; use the crowd feature recognition model to identify pedestrian features in the pedestrian image data in each pedestrian image data set, and use the crowd flow counting model to calculate the number of features with the pedestrian features in all the pedestrian image data in each pedestrian image data set, so as to obtain the crowd flow of the residential building corresponding to each pedestrian image data set.

5. The water pump control system for segmented water supply according to claim 4, characterized in that: The computer vision recognition model is a directional gradient histogram algorithm model, and the computer vision counting model is a CSRNet model.

6. The water pump control system for segmented water supply according to claim 2, characterized in that: Also included is a community management server, the community management server being connected to the control device; The community management server is used to record the number of residents in the community and calculate the actual population occupancy rate based on the number of residents; The control device is specifically used to determine whether to execute the normal water supply mode according to the actual population occupancy ratio, and if so, generate a water supply adjustment signal according to the actual population occupancy ratio; If not, predicting the occupancy rate of each of the residential buildings according to the pedestrian image data in each of the pedestrian image data sets, and generating the corresponding flow control signal according to the occupancy rate of each of the residential buildings; Each of the water pumps is specifically used to adjust its own flow rate according to the water supply adjustment signal or the corresponding flow control signal, so as to adjust the supply amount of tap water to the corresponding residential building.

7. A water pump control system for segmented water supply according to claim 6, characterized in that: The community management server obtains the actual population occupancy rate by dividing the occupancy population by a preset population.

8. The water pump control system for segmented water supply according to claim 6, characterized in that: The control device is specifically used to determine to execute the normal water supply mode if the actual population occupancy rate is greater than or equal to 80%; if the actual population occupancy rate is less than 80%, then determine not to execute the normal water supply mode.

9. The water pump control system for segmented water supply according to claim 8, characterized in that: If it is determined to execute the normal water supply mode, each of the water pumps is specifically used to adjust its own flow rate according to the water supply adjustment signal to adjust the supply amount of tap water to the corresponding residential building; If it is determined that the normal water supply mode is not to be executed, each of the water pumps is specifically used to adjust its own flow rate according to the corresponding flow control signal to adjust the supply of tap water to the corresponding residential building.

10. A control method for a water pump control system for segmented water supply according to any one of claims 1 to 9, characterized in that: The steps include: Using a camera device to collect images of pedestrians entering and leaving the community, a pedestrian image dataset is obtained; using a control device to predict an occupancy rate of the community based on data in the human image dataset, and generating a flow control signal based on the occupancy rate; The water pump is used to adjust its own flow rate according to the flow control signal to adjust the supply of tap water in the community.

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