CN113266555B

CN113266555B - Cloud edge end cooperative intelligent water supply control scheduling method

Info

Publication number: CN113266555B
Application number: CN202110525458.9A
Authority: CN
Inventors: 薛金山
Original assignee: Individual
Current assignee: Individual
Priority date: 2021-05-14
Filing date: 2021-05-14
Publication date: 2022-11-04
Anticipated expiration: 2041-05-14
Also published as: CN113266555A

Abstract

A cloud side end cooperative intelligent water supply control scheduling method adopts a PLC, an edge gateway and a cloud platform as a facility for controlling and scheduling a secondary water supply system, wherein a switching module is arranged in the edge gateway and can switch the PLC to control the work of the secondary water supply system under the condition of a fault and control the work of the secondary water supply system on the basis of self integrity; the cloud platform is provided with an operation evaluation unit, an algorithm optimization unit, a PLC cluster program management unit and a data transceiving unit; the edge gateway is internally provided with a secondary water supply control function program management unit, a data acquisition unit, a local PLC and a gateway secondary water supply program management unit. According to the invention, the edge gateway controls the secondary water supply system to work at ordinary times, the PLC is switched to control the secondary water supply system to work under the condition of failure, the related software of the cloud platform can output the latest optimized control strategy data to the edge gateway and the PLC, and the PLC and the edge gateway control the secondary water supply system to work so as to achieve the optimal state, thereby achieving the purposes of fully supplying water and reducing energy consumption.

Description

Cloud-side-end cooperative intelligent water supply control scheduling method

Technical Field

The invention relates to the technical field of secondary water supply, in particular to a cloud side end cooperative intelligent water supply control scheduling method.

Background

The secondary water supply system is a system which boosts the water pressure of a municipal tap water pipe network in modes of a booster pump and the like, outputs the water pressure to households in a high-rise residential district, and the like, and ensures that the high-rise households and the like can normally use water. The booster pump of the existing secondary water supply system is generally controlled by adopting a PLC (programmable logic controller), the PLC belongs to a factory production system control method, and the PLC has the advantages of simple application and programming, low cost and high reliability. Although the PLC control water supply mode has certain advantages, the PLC control water supply mode also has the following defects that the storage capacity is limited, the performance is low, an operating system is not provided, the programming mode can only be an algorithm library provided by a manufacturer, meanwhile, the PLC control water supply mode is limited in capacity, not suitable for collecting large data volume, and not capable of completing the algorithm with the aspect of artificial intelligent scheduling. After the PLC control system is put into use, due to the fact that the pre-programmed program and the operation parameters in the PLC control system are fixed and invariable. For example, a large residential district has a long time from the initial residence time to the residence time of a large number of residents, which generally lasts for more than several years, so that the water consumption of the residents in the district also changes from small to large in practical situations; the difference of water consumption at different time intervals every day is also bigger, the condition of water consumption peak and low peak exists, different operation parameters need to be adopted at different time intervals at different periods, and because the control parameters of the PLC control system and the like can not be adjusted in real time according to the water consumption, the water supply pressure and the water supply quantity at the later stage can be unstable, the water consumption of a user is influenced and has bad experience, and the defects of high energy consumption, high operation cost and influence on the whole service life of equipment exist. If PLC reprogramming is carried out according to later-stage water consumption data, a professional technician is required to reprogram the PLC, a plurality of data such as water quantity, water pressure and the like in different time periods are acquired from a field water consumption area by a technician as a basis for programming, so that the defects of large investment and inconvenience brought to related technicians exist, and the subsequent water supply effectiveness cannot be ensured based on manually acquired data (for example, the water consumption of residents is not only influenced by different time periods every day, but also influenced by factors such as seasonality, and the like, so that the accuracy of water consumption rule data cannot be completely ensured by the water consumption data acquired by the technician). In conclusion, the working mode of the PLC for controlling the secondary water supply system has great limitation.

The edge gateway controls the working mode of the water supply equipment, encrypts data and access authority based on encryption hardware or a block chain technology, has the advantages of large storage capacity, strong performance, high safety and flexible development, combines the advantages of an algorithm and computing capacity, and can improve the reliability and the operation capacity of the control of the water supply equipment. However, the conventional gateway only has a data acquisition function and an analysis function, directly plays a role of a bridge in the PLC and the cloud platform, and does not have a water supply control logic, a data analysis function and an algorithm function. The working mode of controlling the water supply equipment by using the edge gateway alone can normally control the electric equipment under the condition that the network is kept smooth, so the method has certain limitation, and has not been applied to the control of a secondary water supply system. Cloud platforms have strong storage and computing capabilities, but are directly applied in water supply management, since water supply requires real-time control, it is costly in terms of large concurrent real-time control, and in case of network instability, it is easy to cause risks of water supply instability or unpredictability. In addition, although the cloud service based on the cloud platform has strong storage and computing capabilities and artificial intelligence deployment advantages, the cloud service cannot be directly connected with the PLCs, and a plurality of PLCs cannot be connected with the cloud platform in real time, so that the gateway becomes a bridge between the cloud platform and the PLCs. In summary, it is very necessary to provide a method for controlling the operation of the secondary water supply system based on the advantages of the PLC, the edge gateway and the cloud platform.

Disclosure of Invention

The invention provides a method for combining the advantages of a cloud platform, an edge gateway and a PLC (programmable logic controller), carrying out system management on the cloud platform and a related application unit with strong overall operation algorithm and analysis capability through a planning algorithm and a related application unit with a cloud platform, wherein the cloud platform can receive the edge gateway under the default condition and control the working mode of a secondary water supply system, the PLC is in a supplementary operation state, under the condition that the edge gateway fails, a control circuit can be transferred to the PLC, the PLC can receive the failure state and automatically switch to the operation of the PLC-controlled secondary water supply system, the related software unit of the cloud platform can receive the edge gateway uploaded by the edge gateway and control the PLC, the data such as water pressure and the like acquired by each sensor of the secondary water supply system can be used for carrying out intelligent operation of the PLC-controlled secondary water supply system, and the optimal water supply system operation data can be obtained by the PLC under the optimal water supply system control strategy and the optimal water supply system control strategy.

The technical scheme adopted by the invention for solving the technical problem is as follows:

a cloud edge end cooperative intelligent water supply control scheduling method adopts a PLC, an edge gateway and a cloud platform as a facility for controlling and scheduling a secondary water supply system, and is characterized in that the PLC, the output end of a control frequency converter of the edge gateway and the control input end of the secondary water supply system are electrically connected, a switching module is arranged in the edge gateway and can automatically switch the PLC to control the work of the secondary water supply system under the condition of self failure, the space between the PLC and the secondary water supply system is cut off on the basis of self integrity, and the edge gateway controls the work of the secondary water supply system; the cloud platform is provided with an operation evaluation unit, an algorithm optimization unit, a PLC cluster program management unit and a data transceiving unit; the edge gateway is internally provided with a secondary water supply control function program management unit, a data acquisition unit, a local PLC and a gateway secondary water supply program management unit; the data acquisition unit of the edge gateway is applied to acquire water pressure, water quantity, temperature, accumulated water, water level, water quality, energy consumption, vibration, entrance guard record and field video data uploaded by each sensor of the secondary water supply system and upload various data to a receipt receiving and transmitting unit of the cloud platform; the data receiving and sending unit classifies various data uploaded by each sensor and outputs the data to the operation evaluation unit, the operation evaluation unit evaluates the field water supply operation data and evaluates the operation effect of a program, when a field secondary water supply system cannot meet the requirements of household water consumption or the energy consumption is higher, the algorithm optimization unit carries out calculation optimization and simulation operation, background personnel confirm the operation, then the program is issued, latest optimized control strategy data are output to the edge gateway, the local PLC of the edge gateway and the gateway secondary water supply program management unit update the water supply program, and the latest optimized control strategy data generated by the algorithm optimization unit control the working mode of a booster pump group of the secondary water supply system; the PLC cluster program management unit can manage PLC data of a plurality of networked secondary water supply systems, based on the latest optimized control strategy data transmitted to the water supply program unit by the algorithm optimization unit, the latest optimal control strategy data of the edge gateway at each time interval are updated and stored, the stored data are distributed to the local PLC of the edge gateway of each secondary water supply system and the gateway secondary water supply program management unit, the local PLC and the gateway secondary water supply program management unit transmit the corresponding latest optimal control strategy data to the PLC for updating and storage, and the subsequent PLC controls working modes such as a booster pump set of the secondary water supply system through the optimal latest control data, so that the energy consumption can be reduced on the premise of fully meeting water consumption of high-rise residents.

Further, the PLC cluster program pipe unit of the cloud platform can share PLC data of different secondary water supply systems and water supply control programs in the gateways under the conditions of different secondary water supply systems, the same scale and similar equipment configuration, the calculated optimal latest control strategy data of the secondary water supply system at the position A can be transmitted to the secondary water supply system edge gateway local PLC and the gateway secondary water supply program management unit at the position B, the secondary water supply system edge gateway local PLC and the gateway secondary water supply program management unit at the position B directly output the data to the PLC at the corresponding position for updating and storage, and the subsequent PLC at the position B directly adopts the control data at the position A to control the booster pump unit working mode of the secondary water supply system at the position B, so that the network internet intercommunication function is exerted, mutual energization among equipment is efficiently realized, and a typical water supply model and a knowledge base are formed.

Further, edge gateway self utilizes storage advantage and algorithm advantage, can realize high-speed operation and analysis to each data of secondary water supply system, can realize the communication through the cloud platform between the secondary water supply system edge gateway of different departments, can subscribe the message mutually between the secondary water supply system edge gateway of different departments, realize the data sharing between equipment and the equipment, the water supply facility that has the water tank in corresponding region, can realize water supply equipment and water supply equipment's network is in coordination, under the prerequisite that satisfies the water supply, peak season water supply facility is the modest and the way of each other, let the facility that the risk of lack of water is big take water preferentially, reach city water supply height peak balance.

Furthermore, the edge gateway not only controls the pump set, but also can predict and analyze the water quality, energy consumption, vibration, access control system and video data of the pump room, and timely reports the operation data such as water usage law to the cloud platform through real-time monitoring and control of the water tank, so that major water supply accidents can be prevented, and the operation cost is reduced.

Furthermore, the cloud platform only needs to obtain key operation data of the secondary water supply system, repeated real-time operation data is not stored in the cloud platform, remote diagnosis can be carried out on a certain secondary water supply system at a specific time, real-time online in a certain time period is achieved, and the purpose is to reduce the dependence of the secondary water supply system on the cloud platform in the future.

Furthermore, the cloud platform can realize visualization and deep data mining analysis of data, contrastive analysis is carried out on secondary water supply systems of the same type, an optimal control model is obtained, the secondary water supply systems to be optimized are found out, a unified hardware platform can be realized through the gateway platform, the cloud platform can truly map the states of the secondary water supply systems into the visual system, the running states of the secondary water supply systems can be visually displayed, analysis and diagnosis of operation and maintenance scheduling personnel are facilitated, operation and maintenance efficiency is improved, and traffic risks and traveling costs caused by the fact that people must look over data and process problems on site are reduced.

Furthermore, the cloud platform compares the operation data of the local secondary water supply system or the cross-regional secondary water supply system by means of the application of artificial intelligence, analyzes the booster pump sets of different secondary water supply systems, obtains water supply stability and energy consumption under different working conditions, integrates data and rules of various sensors, can realize predictive maintenance and water quality risk prediction based on a mechanism model, continuously optimizes a water supply control model, updates a new control strategy, issues to an edge control gateway, grasps the latest state through the sensors, issues an update program in a leisure time period, and keeps the control software in the latest state.

The invention has the beneficial effects that: the invention combines the advantages of the edge gateway and the PLC, and carries out system management on the edge gateway and the PLC through a general operation and planning algorithm of the cloud platform and a relevant application unit with strong analysis capability. In application, the edge gateway controls the working mode of the secondary water supply system at ordinary times, the control reliability and the operation capacity of the secondary water supply system can be improved, and under the actual condition, under the condition of failure, the switching module in the edge gateway can automatically disconnect the control mode of the edge gateway and switch to the PLC to control the work of the secondary water supply system, so that the effective work of the secondary water supply system is ensured. The cloud platform related software unit can collect data such as each sensor of the secondary water supply system, water pressure and the like under an edge gateway uploaded by the edge gateway and a PLC control mode, carries out calculation analysis, runs a simulation verification operation effect on the cloud platform, issues a program after being confirmed by background personnel, outputs latest optimized control strategy data to the edge gateway and the PLC, can control the PLC of a plurality of secondary water supply systems with close water supply data to share the optimized strategy data by the cloud platform, can achieve the optimal state by the PLC and the working mode of controlling the secondary water supply system by the edge gateway, and can achieve the purpose of reducing energy consumption on the premise of ensuring sufficient water supply. Based on the above, the invention has good application prospect.

Drawings

FIG. 1 is a block diagram of the architecture of the present invention.

Detailed Description

As shown in fig. 1, a method for controlling and scheduling a cloud side end in cooperation with an intelligent water supply system includes using a PLC, an edge gateway, and a cloud platform as a facility for controlling and scheduling a secondary water supply system, where an output end of a control frequency converter of the PLC and the edge gateway is electrically connected to a control input end of the secondary water supply system, and a switching module is provided in the edge gateway, so that the PLC can be automatically switched to control the secondary water supply system to work under a self-fault condition, and the edge gateway can be switched off between the PLC and the secondary water supply system on a self-intact basis, and control the secondary water supply system to work; the cloud platform is provided with an operation evaluation unit, an algorithm optimization unit, a PLC cluster program management unit and a data transceiving unit; and a secondary water supply control function program management unit, a data acquisition unit, a local PLC and a gateway secondary water supply program management unit are arranged in the edge gateway.

As shown in fig. 1, the PLC cluster program management unit of the cloud platform can realize sharing of PLC data of different secondary water supply systems and a water supply control program in a gateway under the condition that water consumption data are close to each other among different secondary water supply systems, for example, the calculated optimal latest control strategy data of the secondary water supply system at the position a can be transmitted to the local PLC of the edge gateway of the secondary water supply system and the gateway secondary water supply program management unit at the position B, the local PLC of the edge gateway of the secondary water supply system and the gateway secondary water supply program management unit at the position B directly output data to the PLC at the corresponding position for updating and storage, and the subsequent PLC at the position B directly adopts the control data at the position a to control the working mode of the booster pump unit of the secondary water supply system at the position B. The edge gateways can utilize the storage advantages and the algorithm advantages to realize high-speed operation and analysis on all data of the secondary water supply system, the secondary water supply system edge gateways at different positions can realize communication through a cloud platform, and the secondary water supply system edge gateways at different positions can subscribe messages mutually to realize data sharing between equipment. The edge gateway not only controls aiming at the pump set, but also can predict and analyze the water quality, energy consumption, vibration, an access control system and video data of the pump room, and timely reports the operation data such as water usage law to the cloud platform through real-time monitoring and control of the water tank and the like, so that major water supply accidents can be prevented, and the operation cost is reduced. The method comprises the steps that automatic learning is achieved through an artificial intelligence algorithm, after a plurality of water supply equipment are abstracted into an algorithm model, only water pump quantity difference and control parameter difference exist among different water supply equipment control programs, meanwhile, an edge gateway has storage and calculation advantages, most of data can be analyzed and processed on site, unnecessary real-time data uploading is reduced, only key operation data of a secondary water supply system need to be obtained in cloud platform application, a cloud platform does not need to exist in repeated real-time operation data, remote diagnosis can be conducted on the secondary water supply system at a specific time according to needs, operation data in a certain time period are online in real time, the purpose is to reduce dependence of the secondary water supply system on the cloud platform in the future, cloud platform storage and operation load increase caused by storage and operation of excessive data through the cloud platform are prevented, excessive network bandwidth is occupied, and influences are brought to the working performance of the cloud platform. The cloud platform can realize visualization and deep data mining analysis of data, carry out contrastive analysis to the secondary water supply system of the same kind, obtain the optimal control model and find out the secondary water supply system that remains to be optimized, through cloud platform and edge gateway, can realize unified hardware platform, the cloud platform is with digital twins technique, can be real map the running state of secondary water supply system to self visualization system in, audio-visually demonstrate the running state of secondary water supply system, make things convenient for operation and maintenance scheduling personnel's analysis and diagnosis, operation and maintenance efficiency has been improved, the traffic risk and the travel cost that because the people must look over data, the processing problem produces to the scene have been reduced. The cloud platform contrasts and analyzes the operation data of the local area secondary water supply system or the cross-area secondary water supply system through the application of artificial intelligence, analyzes booster pump sets of different secondary water supply systems, analyzes water supply stability, efficiency energy consumption, failure rate and the like under different working conditions, integrates data of various sensors, can realize predictive maintenance and water quality risk prediction based on mechanism model diagnosis, continuously optimizes a water supply control model, updates the water supply control model into a new control strategy, issues the control strategy to the edge control gateway, grasps the latest state through the sensors, issues an update program in the leisure time period, and keeps the control software in the latest state.

As shown in fig. 1, the invention has low cost, and in application, the data acquisition unit of the edge gateway acquires water pressure, water quantity, temperature, accumulated water, water level, water quality, energy consumption, vibration, an access control system, on-site video data and the like uploaded by each sensor of the secondary water supply system, and uploads various data to the data transceiver unit of the cloud platform. The data receiving and sending unit classifies various data uploaded by each sensor, then outputs the data to the operation evaluation unit, the operation evaluation unit evaluates the field water use data, when the field secondary water supply system cannot meet the requirements of water use of residents or the energy consumption is higher, the algorithm optimization unit carries out calculation optimization, a program is issued after background personnel confirm, the latest optimized control strategy data is output to the edge gateway, and the water supply program management unit of the edge gateway controls the working modes of a booster pump set of the secondary water supply system and the like through the latest optimized control strategy data generated by the algorithm optimization unit. The PLC cluster program management unit manages a plurality of networked secondary water supply systems PLC, based on the latest optimized control strategy data transmitted to the water supply program unit by the algorithm optimization unit, updates and stores the latest optimal control strategy data of the edge gateway at each time interval, and distributes the stored data to the local PLC of the edge gateway of each secondary water supply system and the gateway secondary water supply program management unit, the local PLC and gateway secondary water supply program management unit transmit the corresponding latest optimal control strategy data to the PLC through the secondary water supply control function program management unit for updating and storing, and the subsequent PLC controls working modes such as a booster pump set of the secondary water supply system through the optimal latest control data, so that the energy consumption can be reduced on the premise of fully meeting the water consumption of high-rise residents. In the invention, a switching module of the edge gateway (the edge gateway has a management function on an integrated program of the PLC, and returns to a version program of the previous normal operation control once upgrading fails) can switch the work of the PLC control (communication control) secondary water supply system under the condition of the self fault of the edge, and cut off the work of the PLC control (communication control) secondary water supply system between the PLC and the secondary water supply system on the basis of the self integrity. The invention adopts a communication link for control, simplifies components such as a water supply peripheral sensor, state feedback and the like, obtains peripheral sensor data of edge gateway operation from a PLC, realizes regulation and control of a water pump frequency converter by reading and writing a register of the PLC after operation, and achieves the purpose of constant-pressure water supply control; the applied PLC internal program has the following characteristics: 1, independent control, 2, default gateway control water supply, and automatic take-over mechanism for water supply control after gateway failure.

As shown in fig. 1, the edge gateway (having a Linux operating system, a database, a high-level language library such as Python, etc., and the gateway using MQTT and cloud platform communication) of the present invention has a higher-level algorithm and control strategy than the PLC. The cloud platform can be combined with the edge gateway and better scheduling by applying operation planning, so that the operation failure rate is reduced by optimal solution, and the urban water supply is ensured to achieve optimal balance at high and low peaks. In the application, the working mode of the edge gateway controlling the secondary water supply system at ordinary times can improve the reliability and the operation capacity of the control of the secondary water supply system, under the condition of edge gateway faults, a switching module in the edge gateway can automatically disconnect the control mode of the edge gateway and switch to the work of the PLC controlling the secondary water supply system, and the effective work of the secondary water supply system is ensured. The cloud platform can analyze and predict the water pump units of the secondary water supply systems, operate the water pumps under unsuitable working conditions for a long time, and prompt workers to change and maintain good water supply and energy-saving efficiency. Under the relevant software unit of cloud platform can gather edge gateway and the PLC control mode that the edge gateway uploaded, data such as each sensor of secondary water supply system and water yield water pressure, and carry out calculation analysis output most recent optimization control strategy to edge gateway and PLC, the cloud platform still can control the water supply data and be close many secondary water supply system PLC sharing optimization strategy data, PLC and edge gateway control secondary water supply system's working method can reach the optimum, guarantee under the abundant water supply prerequisite, can also reach and reduce the energy consumption purpose, the operation efficiency is improved, service efficiency has been promoted, the operation cost is reduced.

While there have been shown and described what are at present considered to be the fundamental and essential features of the invention, and the advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, but is capable of being embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims

1. A cloud side end cooperative intelligent water supply control scheduling method adopts a PLC, an edge gateway and a cloud platform as a facility for controlling and scheduling a secondary water supply system, and is characterized in that the PLC, the output end of a control frequency converter of the edge gateway and the control input end of the secondary water supply system are electrically connected, a switching module is arranged in the edge gateway and can switch the PLC to control the work of the secondary water supply system under the condition of self fault, the space between the PLC and the secondary water supply system is cut off on the basis of the self integrity of the edge gateway, and the edge gateway controls the work of the secondary water supply system; the cloud platform is provided with an operation evaluation unit, an algorithm optimization unit, a PLC cluster program management unit and a data transceiving unit; the edge gateway is internally provided with a secondary water supply control function program management unit, a data acquisition unit, a local PLC and a gateway secondary water supply program management unit; the data acquisition unit of the edge gateway is used for acquiring water pressure, water quantity, temperature, accumulated water, water level, water quality, energy consumption, vibration, entrance guard record and field video data uploaded by each sensor of the secondary water supply system and uploading various data to the data transceiving unit of the cloud platform; the data receiving and sending unit classifies various data uploaded by each sensor and outputs the data to the operation evaluation unit, the operation evaluation unit evaluates the on-site water supply operation data and evaluates the operation effect of a program, when the on-site secondary water supply system cannot meet the requirement of resident water consumption or the energy consumption is higher, the algorithm optimization unit carries out calculation optimization, a backstage person confirms the data and then sends the program, the latest optimized control strategy data is output to the edge gateway, the local PLC of the edge gateway and the gateway secondary water supply program management unit update the water supply program, and the latest optimized control strategy data generated by the algorithm optimization unit controls the working mode of a booster pump group of the secondary water supply system; the PLC cluster program management unit can manage PLC data of a plurality of networked secondary water supply systems, based on the latest optimized control strategy data transmitted to the water supply program unit by the algorithm optimization unit, the latest optimal control strategy data of the edge gateway at each time interval are updated and stored, the stored data are distributed to the local PLC of the edge gateway of each secondary water supply system and the gateway secondary water supply program management unit, the local PLC and the gateway secondary water supply program management unit transmit the corresponding latest optimal control strategy data to the PLC for updating and storage, and the subsequent PLC controls the working mode of a booster pump set of the secondary water supply system through the optimal latest control data, so that the energy consumption can be reduced on the premise of fully meeting the water consumption of high-rise residents.

2. The method for cloud-side cooperative intelligent water supply control scheduling according to claim 1, wherein a PLC cluster program pipe unit of a cloud platform can share PLC data of different secondary water supply systems and water supply control programs in gateways under the conditions of the same scale and similar equipment configuration among different secondary water supply systems, can transmit calculated optimal latest control strategy data of a secondary water supply system at a location a to a secondary water supply system edge gateway local PLC and a gateway secondary water supply program management unit at a location B, the secondary water supply system edge gateway local PLC and the gateway secondary water supply program management unit at the location B directly output data to a PLC at a corresponding location for update and storage, and a subsequent PLC at the location B directly adopts control data at the location a to control a booster pump unit working mode of the secondary water supply system at the location B, thereby exerting network internet intercommunication, efficiently realizing mutual energization among equipment, and forming a typical water supply model and a knowledge base.

3. The method according to claim 1, wherein the edge gateways utilize storage advantages and algorithm advantages to perform high-speed operation and analysis on data of the secondary water supply system, communication between the edge gateways of the secondary water supply system at different places can be achieved through a cloud platform, messages can be mutually subscribed between the edge gateways of the secondary water supply system at different places to achieve data sharing between equipment and equipment, the water supply facilities of the water tank are arranged in corresponding areas, network cooperation between the water supply equipment and the water supply equipment can be achieved, on the premise that water supply is met, the water supply facilities in peak periods are fair to each other, facilities with high water shortage risks can take water preferentially, and urban water supply balance is achieved.

4. The method of claim 1, wherein the edge gateway not only controls the pump group, but also predicts and analyzes water quality, energy consumption, vibration, an access control system and video data of the pump room, monitors and controls the water tank in real time, and reports water usage rule operation data to the cloud platform in time, thereby preventing major water supply accidents and reducing operation cost.

5. The method for cooperative intelligent water supply control scheduling by cloud edge terminals according to claim 1, wherein the cloud platform only needs to obtain key operation data of the secondary water supply system, does not store repeated real-time operation data in the cloud platform, can perform remote diagnosis on a certain secondary water supply system at a specific time, and is on-line in real time at a certain time period, so as to reduce the dependence of the secondary water supply system on the cloud platform in the future.

6. The method for cloud-edge cooperative intelligent water supply control scheduling of claim 1, wherein a cloud platform can realize visualization and deep data mining analysis of data, perform comparative analysis on similar secondary water supply systems to obtain an optimal control model and find out a secondary water supply system to be optimized, and a unified hardware platform can be realized through a gateway platform.

7. The method for cloud-side cooperative intelligent water supply control scheduling according to claim 1, wherein the cloud platform compares the operational data of the local area secondary water supply system or the cross-area secondary water supply system by means of artificial intelligence, analyzes the operational data to obtain booster pump sets of different secondary water supply systems, and obtains water supply stability and energy consumption under different working conditions, integrates data and rules of various sensors, can realize predictive maintenance and water quality risk prediction based on a mechanism model, continuously optimizes a water supply control model, updates a new control strategy, issues the new control strategy to an edge control gateway, grasps the latest state by the sensors, and keeps the software in the latest state during idle and time periods.