WO2013040853A1 - Cloud computing-based system and method for management and control of water pump - Google Patents

Abstract

Disclosed are a cloud computing-based system and method for the management and control of a water pump. The system comprises: an Internet of Things onsite controller, used for setting a normal operation parameter of the water pump, for the management and control of an operation mode of the water pump on the basis of the normal operation parameter, and for transmitting the normal operation parameter of the water pump to a cloud computing device management and control platform, an Internet of Things onsite data collector, used for collecting an actual operation parameter of the water pump, and for transmitting to the cloud computing device management and control platform, and the cloud computing device management and control platform, used for adjusting a management and control mode of the Internet of Things onsite controller on the basis of the actual operation parameter and the normal operation parameter of the water pump. The method is implemented by using the system. The present invention allows for compatibility with water pump management and control platforms of all different manufactures, and for centralized management and control of multiple objects on a unified platform, thus implementing optimized configuration of operation states of the apparatus.

Description

 TECHNICAL FIELD The present invention relates to the field of water pump management control technologies, and in particular, to a cloud computing based water pump management control system and method. BACKGROUND OF THE INVENTION With the increasing number of pumps (e.g., volumetric pumps and vane pumps) worldwide, management control of various pumps is becoming increasingly important.

 In the prior art, the pump management control system usually uses only the number of analysis devices, the nameplate information of the equipment, the maintenance record of the equipment, and the like, and performs a simple summary of information on various devices, and cannot automatically collect the devices in real time. Operational data and design parameters, in particular, can not make operational data and design parameters comparison analysis of each component of the pump, can not verify and predict in advance the time node of the equipment failure, and the degree of damage caused by the fault to the equipment.

 The inventors have also discovered that the prior art pump management control software also has the following problems:

1. When the system processes a large amount of historical data, it encounters problems that the processing speed is not fast and data protection cannot be realized;

 2. The system does not comprehensively analyze and analyze equipment and component operation data from design factors, usage environment, usage habits, human factors, operational indicators, management systems, fault benchmarks, fault performance, fault statistics, operation optimization, etc. Management control, only to provide some statistical results to the user, let the user to modify the field operation control mode according to the statistical results, so that the optimal configuration of the device operation cannot be realized.

Cloud computing is a network technology developed in recent years. It distributes computing tasks on resource pools composed of a large number of computers, enabling various application systems to acquire computing power, storage space, and various software services as needed. Major IT companies have launched their own cloud-based platform services, such as Google (G00GLE), Microsoft, Yahoo, Amazon, etc., summed up the following characteristics of cloud computing: (1) Very large scale. "Cloud" is quite large. Google Cloud Computing has more than 1 million servers. The "clouds" of Amazon, IBM, Microsoft, Yahoo, etc. all have hundreds of thousands of servers. Enterprise private clouds typically have hundreds of thousands of servers, and "clouds" give users unprecedented computing power.

 (2) Virtualization. Cloud computing allows users to access application services from any location using a variety of terminals. The requested resource comes from a "cloud" rather than a fixed tangible entity. used for

Somewhere in the "cloud", but in fact the user does not need to know, and do not have to worry about the specific location of the application. With just one laptop or one phone, you can do everything we need through web services, even tasks like supercomputing.

 (3) High reliability. "Cloud" uses measures such as data multi-copy fault tolerance and compute node isomorphism to ensure high reliability of services. Cloud computing is more reliable than using local computers.

 (4) Universality. Cloud computing is not targeted at specific applications. With the support of "cloud", it can construct ever-changing applications. The same "cloud" can support different application operations at the same time.

 (5) High scalability. The scale of the "cloud" can be dynamically scaled to meet the needs of application and user growth.

 (6) On-demand service. "Cloud" is a huge pool of resources that you buy on demand; clouds can be billed like tap water, electricity, and gas.

 (7) Extremely cheap. Because the special fault-tolerant measures of "cloud" can use extremely cheap nodes to form a cloud, the automated centralized management of "cloud" enables a large number of enterprises to not have to bear the increasing cost of data center management. The versatility of "cloud" makes resource utilization Compared with the traditional system, users can fully enjoy the low cost advantage of "cloud". It usually takes hundreds of dollars and several days to complete tasks that previously required tens of thousands of dollars and months to complete.

 (8) Internet of Things technology is a reliable guarantee for cloud computing to realize cross-platform exchange of field device data. Its essential meaning is “things connected with objects, interoperability, and data sharing”.

(9) The core and foundation of "Internet of Things technology" is still "Internet technology", which is a network technology that extends and expands on the basis of Internet technology; its client extends and extends between any items and items. Information exchange and communication. Therefore, the definition of the Internet of Things technology is: through the information sensing device such as radio frequency identification (RFID), infrared sensor, global positioning system, laser scanner, etc., connect any item to the Internet according to the agreed agreement. A network technology for information exchange and communication for intelligent identification, location, tracking, monitoring and management.

 (10) Internet of Things means that it will be everywhere

(Ubiquitous) end devices (Devices) and facilities (Faciities), including sensors with "intrinsic intelligence", mobile terminals, industrial systems, CNC systems, home intelligence devices, video surveillance systems, etc., and "external enablement"" (Enabled), such as RFID-attached assets (A _{S Se} ts ), individuals and vehicles carrying wireless terminals, etc. "smart parts or animals" or "smart dust" (Mote), through various wireless And/or wired long-haul and/or short-range communication networks for interoperability (M2M), application integration (Grand Integration), and cloud-based SaaS operations, etc.

 (Intranet), private network (Extranet), and / or Internet (Internet) environment, using appropriate information security mechanisms to provide secure, controllable or even personalized real-time online monitoring, location and traceability, alarm linkage, scheduling command, plan Management and service functions such as management, remote control, security, remote maintenance, online upgrade, statistical reporting, decision support, and leadership of the desktop (Cockpit Dashboard), to achieve "efficient, energy-saving, safe, environmentally friendly" "The integration of management, control, and camping." SUMMARY OF THE INVENTION In order to solve the above problems of the prior art, an object of the present invention is to provide a water pump management control system and method based on cloud computing, which can be compatible with pump management control platforms of all different manufacturers, and has many pairs under one unified platform. The object concentrates on equipment operation management control to achieve maximum operation optimization management, fault prediction and network automatic control, so as to achieve optimal operation configuration and achieve better operation results.

 In order to achieve the above object, the present invention provides a cloud-based water pump management control system, including:

 An Internet of Things field controller for setting normal operation parameters of the water pump and managing and controlling an operation mode of the water pump according to normal operation parameters of the water pump, and transmitting normal operation parameters of the water pump to the cloud Computing equipment management and control platform;

An Internet of Things field data collector for collecting actual operating parameters of the water pump and transmitting it to a cloud computing device management and control platform; The cloud computing device management and control platform is configured to adjust a management and control mode of the Internet of Things field controller according to actual operating parameters and normal operating parameters of the water pump.

 Preferably, the cloud computing device management and control platform specifically includes:

 a receiving unit, configured to receive actual operating parameters of the water pump collected by the Internet of Things field data collector and normal operating parameters of the water pump set by the Internet of Things field controller;

 a first determining unit, configured to determine whether an actual running parameter of the water pump matches a normal running parameter, and generate a determination result;

 a running model generating unit, configured to generate a corresponding running model according to an actual running parameter of the water pump when the determining result of the first determining unit is a match;

 Running a model database for storing various historical running models of the water pump; a second determining unit, configured to determine whether the generated running model matches a corresponding historical running model in the running model database and generate a judgment result;

 And a control mode adjusting unit, configured to adjust a management and control mode of the watermark field controller to the water pump when the determination result of the first determining unit or the second determining unit is a mismatch.

 Preferably, the actual operating parameters of the water pump include real time operating parameters and safety parameters. Among them, the real-time operating parameters usually refer to the parameters related to the actual operation of the equipment such as temperature, humidity, air volume, running time, frequency, etc. directly collected by the IoT field data collector, such as: the pump flow rate, motor speed, pressure, cold erosion The balance, acceleration, motor torque and power consumption; safety parameters include parameters related to each device in the case of faults and alarms, such as: protection current, protection voltage, protection power and motor safety speed of the pump.

Preferably, the corresponding historical running model in the running model database refers to a historical running model in which the operating condition constraint parameter matches the generated running model, and the operating condition constraint parameter includes an application environment parameter and a design parameter of the water pump. , one or a combination of an application type parameter and an actual operation type parameter. The operational model database contains various historical operational models that conform to industry standards (design standards, manufacturer equipment design parameters, etc.). These historical operational models take into account the evaluation criteria of energy consumption benchmarks, efficiency benchmarks, performance benchmarks, etc. In terms of it, it is the most reasonable. The establishment of the historical operation model is usually restricted by the operating condition constraint parameters of the water pump, and the operating condition constraint parameters are not Similarly, the corresponding historical running model is different. The application environment parameters of each device include geographic location, meteorological parameters, etc. The design parameters of the equipment include design operation parameters, design power, measurement range, design energy efficiency, etc. The application site type parameters of the equipment include shopping malls, supermarkets, hotels, office buildings, exhibitions. Pavilion, computer room, industrial plant, residential, national grid and other categories. Of course, there are other health constraint parameters, such as control mode.

 In order to achieve the above object, the present invention also provides a cloud computing-based water pump management control method, including:

 S11: managing and controlling an operation mode of the water pump according to the set normal operation parameter of the water pump, and transmitting the normal operation parameter of the water pump to a cloud computing device management and control platform;

 S12: collecting actual operating parameters of the water pump and transmitting to the cloud computing device management and control platform;

 S13: Adjusting the management and control mode of the water pump according to the actual operating parameters and normal operating parameters of the water pump under the cloud computing device management and control platform.

 Preferably, the step S13 specifically includes:

 S131: determining whether the actual running parameter of the water pump and the normal running parameter match; if not, performing step S135, if yes, performing step S132;

 S132: Generate a corresponding running model according to the actual running parameter of the water pump; S133: determine whether the generated running model matches a corresponding historical running model in the running model database; if not, perform step S135, if matched, execute Step S134;

 S134: maintaining a management and control mode for the water pump;

 S135: Adjust the management and control mode of the water pump.

 Further preferably, after performing the step S134, the method further includes the step S136, adding the generated running model to the running model database.

 Preferably, the corresponding historical running model in the running model database refers to a historical running model in which the operating condition constraint parameter matches the generated running model, and the operating condition constraint parameter includes an application environment parameter and a design parameter of the water pump. , one or a combination of an application type parameter and an actual operation type parameter.

Preferably, the actual operating parameters of the water pump include real-time operating parameters and safety parameters. Among them, the real-time operating parameters usually refer to the temperature directly collected by the IoT field data collector. Parameters related to the actual operation of the equipment, such as: flow rate, motor speed, pressure, cold offset margin, acceleration, motor torque and power consumption, etc.; safety parameters including faults and alarms Parameters related to each device, such as: protection current, protection voltage, protection power and motor safety speed of the pump.

 Preferably, the normal operating parameters and actual operating parameters of the water pump are wireless

Any one of the INTERNET network, the wired Internet network, the GPRS, the GPS, the Beidou system, the 3G network, and the 4G network is transmitted to the cloud computing device management and control platform.

 Compared with the prior art, the utility model has the beneficial effects that the water pump management control system and method provided by the invention can be compatible with the pump management control platform of all different manufacturers, and centrally perform operation management control on a plurality of objects under a unified platform. , to achieve maximum predictive equipment failure and network automatic adjustment control, so as to achieve optimal configuration of equipment operation, to achieve better equipment management and maintenance. BRIEF DESCRIPTION OF DRAWINGS FIG. 1 is a schematic structural view of a cloud-based water pump management control system according to an embodiment of the present invention;

 2 is a flow chart of a cloud computing-based water pump management control method according to an embodiment of the present invention;

 3 is a flow chart of a cloud computing based water pump management control method according to another embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

 FIG. 1 is a schematic structural diagram of a cloud computing-based water pump management control system according to an embodiment of the present invention, and a cloud computing-based water pump management control system includes:

The Internet of Things field controller 11 is configured to set normal operation parameters of the water pump 10 and manage and control the operation mode of the water pump 10 according to the normal operation parameters of the water pump 10, and transmit the normal operation parameters of the water pump 10 to the cloud computing device management. And the control platform 13; the Internet of Things field controller 11 includes a user parameter setting unit 111 for setting normal operating parameters of the water pump 10, and adjusting the management and control mode of the water pump 10 by the Internet of Things field controller 11; The IoT field controller 11 includes a water pump controller, a water pump frequency converter, and a water pump Power cabinet, pump impeller correction controller, pump vibration correction controller, pump operation status automatic recorder, pump operation fault recorder and pump energy recorder. The Internet of Things field controller 11 used in this embodiment is a controller developed by using the Internet of Things technology, and is a water pump operation data analysis controller having a unique IP address, which can be in one-to-one correspondence with the water pump 10. The normal operating parameters set by the Internet of Things field controller 11 are transmitted to the cloud computing device management and control platform 13 through the communication network, wherein the communication network may be a wireless INTERNET network, a wired INTERNET network, a GPRS, a Beidou system, a GPS, and a 3G. Network or more advanced next-generation transmission network (4G).

 The Internet of Things field data collector 12 is used to collect the actual operating parameters of the water pump 10 and transmit it to the cloud computing device management and control platform 13; the actual operating parameters of the water pump 10 include real-time operating parameters and safety parameters. The real-time operating parameters generally refer to parameters related to the actual operation of the water pump 10 such as temperature, humidity, air volume, running time, frequency, etc. directly collected by the IoT field data collector 12, for example: flow rate of the water pump 10, motor speed, pressure, cold Erosion allowance, acceleration, motor torque and power consumption; safety parameters include parameters related to pump 10 in case of faults and alarms, such as: protection current, protection voltage, protection power and motor safety speed of pump 10. The Internet of Things field data collector 12 is generally composed of various types of sensors with network transmission functions, data statistics and summary units, data analysis and uploading units, etc., to complete data collection and preliminary statistical analysis functions, the actual number of which is based on needs. There may be a lot of IoT field data collectors 12 set. The IoT field data collector 12 used in this embodiment is a data collector developed by using the Internet of Things technology, and is a pump actual running data collector having a unique IP address, which can correspond to the water pump 10. The Internet of Things field data collector 12 can be various pump flow sensors, water pump speed sensors, water pressure sensors, cold erosion margin measuring instruments, acceleration sensors, torque sensors, shaft seal oil leakage and water leakage sensors, and electricity collectors. The actual operating parameters of the water pump 10 collected by the Internet of Things field data collector 12 are transmitted to the cloud computing device management and control platform 13 through a communication network, wherein the communication network may be a wireless INTERNET network, a wired INTERNET network, a GPRS, a GPS, a Beidou. System, 3G network or more advanced next generation transmission network (4G).

The cloud computing device management and control platform 13 is configured to adjust the management and control mode of the Internet of Things field controller 11 according to the actual operating parameters and normal operating parameters of the water pump 10. The purpose of the adjustment is to achieve an optimal configuration of the pump 10, reducing the failure rate and reducing maintenance. Cost, to ensure that the equipment is in optimal operating conditions, etc. The cloud computing device management and control platform 13 of this embodiment specifically includes:

 The receiving unit 131 is configured to receive the actual operating parameters of the water pump 10 collected by the Internet of Things field data collector 12 and the normal operating parameters of the water pump 10 set by the Internet of Things field controller 11;

 The first determining unit 132 is configured to determine whether the actual running parameter of the collected water pump 10 matches the normal running parameter of the set water pump 10 and generate a determination result; the operation model generating unit 133 is configured to be the first When the judgment result of the determining unit 132 is that the matching is performed, the corresponding running model is generated according to the collected actual operating parameters of the water pump 10; the running model includes indicators such as the overall working condition and the operating condition.

 The running model database 130 is used to store various historical running models of the water pump 10; the running model database 130 stores various historical running models of the pumps in accordance with industry standards (design standards, manufacturer equipment design parameters, etc.) and related specifications and standards. The optimal operational state model, such as document conventions or recognition, is based on evaluation criteria such as functional benchmarking, efficiency benchmarking, performance benchmarking, etc., and its operating state is relatively reasonable.

The second determining unit 134 is configured to determine whether the generated running model matches the corresponding historical running model in the running model database and generate a judgment result; the establishment of the water pump historical running model is generally restricted by the operating condition constraint parameter, and the operating condition constraint Different parameters, the corresponding pump historical operation model is different. The health constraint parameter includes one or a combination of an application environment parameter, a design parameter, a component design parameter, an application site type parameter of the respective device, and a combination with other constraint parameters (such as a control optimization mode). The application environment parameters of each device include geographic location, meteorological parameters, etc. The design parameters include operating status, design power, measurement range, design energy efficiency, etc. The application site type parameters include shopping malls, supermarkets, hotels, office buildings, exhibition halls, computer rooms, and industrial Plant, residential, national grid and other types. The user inputs the running condition constraint parameters of the currently generated running model through the health constraint parameter setting unit 14, and then finds the corresponding historical running model in the water pump running model database 130 according to the operating condition constraint parameters (ie, the operating condition constraint parameter and the The historical running model of the generated running model is matched, and then it is determined whether the generated running model matches the corresponding historical running model. If the matching does not indicate that the device is running unreasonably, it needs to be adjusted. For example, the generated running model unit time vibration acceleration of the device requires 1000g (squares per second), but if it is less than or greater than 10% of the set value, then It can be inferred that the operating state of the device is not normal, or resonance occurs, or the parts are excessively worn, or eccentric, etc., and the device needs to be adjusted.

 The control mode adjusting unit 135 is configured to adjust the management and control mode of the water pump 10 by the Internet of Things field controller 11 when the determination result of the first determining unit 132 or the second determining unit 134 is a mismatch. The mismatch indicates that the operation does not meet the requirements. The management and control modes need to be adjusted to ensure that the device is running normally until the optimal operating point is matched, thus achieving optimal configuration of the operating conditions. When the judgment result of the first judging unit 132 is not matched, it indicates that the running condition cannot meet the requirement set by the user, and needs to be directly adjusted; when the judgment result of the second judging unit 134 is not matched, it indicates that the running condition can be achieved. User setting requirements, but not optimal, do not consider evaluation criteria such as function benchmarking, efficiency benchmarking, performance benchmarking, etc. It is necessary to adjust to further optimize the operating state. If the judgment result of the second judging unit 134 is a match, indicating that the generated running model is reasonably compliant, the generated running model is added to the running model database 130 to enrich the historical data for subsequent operation management. Control provides a reference.

 Of course, the cloud computing device management and control platform 13 has a variety of management and control modes for the Internet of Things field controller 11, and only one of the above embodiments is shown.

 For the convenience of the user, the cloud computing-based water pump management control system of the embodiment can be made into an intuitive display interface, and the user only needs to perform management control through the display interface.

 The advantages of using the cloud computing device management and control platform 13 for device management control are obvious. The scale and scalability of cloud computing enable centralized control of ultra-large-scale operation, which can theoretically achieve any kind of globally. The management control of the water pump has a wider application scope; the virtualization feature of the cloud computing enables each user to perform the operation management control without separately configuring the independent health management control platform, but in the "cloud", on demand, greatly The cost is reduced; the resource sharing characteristics of cloud computing make the historical data in the entire control platform very rich, and can match the best historical data as a reference to achieve optimal energy allocation.

 A flowchart of a cloud computing-based pump management control method according to an embodiment of the present invention as shown in FIG. 2, the method comprising:

S11: manage and control the operation mode of the water pump according to the set normal operation parameter of the water pump, and transmit the normal operation parameter of the water pump to the cloud computing device tube. The control and control platform; the set normal operation parameters are transmitted to the cloud computing device management and control platform through the communication network, wherein the communication network can be a wireless INTERNET network, a wired INTERNET network, a GPRS, a GPS, a Beidou system, a 3G network or more. Advanced Next Generation Transport Network (4G) and more.

 S12: Collect actual operating parameters of the water pump and transmit the data to the cloud computing device management and control platform; the actual operating parameters of the water pump include real-time operating parameters and safety parameters. Among them, the real-time operating parameters usually refer to the parameters directly related to the actual operation of the pump, such as temperature, humidity, air volume, running time, frequency, etc., such as: flow rate, motor speed, pressure, cold erosion allowance, acceleration, motor torque and Power, etc.; Safety parameters include various pump-related parameters such as faults and alarms, such as: pump protection current, protection voltage, protection power and motor safety speed. Generally, the actual operating parameters are collected by the IoT field data collector composed of various types of sensors with network transmission functions, data statistics and summary units, data analysis and uploading units, and the actual number of the IoT field data collectors. It is set according to needs, such as water pump flow sensor, water pump speed sensor, water pressure sensor, cold residual margin measuring instrument, acceleration sensor, torque sensor, shaft seal oil leakage and water leakage sensor, power collector, etc. The actual operating parameters of the collected water pump are transmitted to the cloud computing device management and control platform through the communication network, wherein the communication network can be a wireless INTERNET network, a wired INTERNET network, a GPRS, a GPS, a Beidou system, a 3G network or a more advanced next generation transmission. Network (4G) and so on.

 S13: Adjusting the management and control mode of the water pump according to the actual operating parameters and normal operating parameters of the water pump under the cloud computing device management and control platform.

Due to the use of cloud computing equipment management and control platform to manage and control the operation of the pump, the scale and scalability of cloud computing enable centralized control of ultra-large-scale operation, which can theoretically be achieved globally. The management control of any kind of water pump has a wider application scope; the virtualization characteristics of cloud computing enable each user to perform the operation management control without separately configuring an independent health management control platform, but on-demand in the "cloud" , greatly reducing the cost; the characteristics of cloud computing resource sharing makes the historical data in the entire control platform very rich, can match the best historical data as a reference, so as to achieve optimal configuration of the operating conditions. FIG. 3 is a flowchart of a cloud computing-based water pump management control method according to another embodiment of the present invention. The method is based on the cloud computing-based water pump management control method shown in FIG. include:

 S131: determining whether the actual running parameter of the water pump and the normal running parameter match; if not, performing step S135, if yes, performing step S132;

 S132: Generate a corresponding operation model according to actual operating parameters of the water pump;

S133: Determine whether the generated running model matches the corresponding historical running model in the running model database; if not, perform step S135, and if yes, perform step S134;

 S134: maintaining a management and control mode for the water pump;

 S135: Adjust the management and control mode of the water pump.

 As a preferred solution of the embodiment, after performing the step S134, the method further includes the step S136, adding the generated running model to the running model database, enriching historical data, and providing reference for subsequent running condition management control. .

 For a more detailed introduction, please refer to the description in the above embodiment of the cloud-based pump management control system.

The corresponding historical running model in the running model database refers to a historical running model that matches the running constraint parameter with the generated running model, and the operating condition constraint parameter includes an application environment parameter, a design parameter, and an application place of the water pump. One or a combination of a type parameter and an actual run type parameter. The operational model database contains various historical operational models that conform to industry standards (design standards, manufacturer equipment design parameters, etc.). These historical operational models take into account the evaluation criteria of energy consumption benchmarks, efficiency benchmarks, performance benchmarks, etc. In terms of it, it is the most reasonable. The establishment of the historical operation model is usually restricted by the operating condition constraint parameters of the water pump, and the operational constraint parameters are different, and the corresponding historical operation model is different. The application environment parameters of each device include geographic location, meteorological parameters, etc. The design parameters of the equipment include design operation parameters, design power, measurement range, design energy efficiency, etc. The application site type parameters of the equipment include shopping malls, supermarkets, hotels, office buildings, exhibitions. Pavilion, computer room, industrial plant, residential, national grid and other categories. Of course, there are other health constraint parameters, such as control mode. The actual operating parameters of the water pump are transmitted to the cloud computing device management and control platform through any one of a wireless INTERNET network, a wired INTERNET network, a GPRS, a GPS, a Beidou system, a 3G network, and a 4G network.

 The method of the embodiment is based on the cloud computing-based water pump management control method shown in FIG. 2, and specifically how to adjust the management of the Internet of Things field controller under the cloud computing device management and control platform. The control mode method makes full use of the rich features of the historical data of the cloud computing device management and control platform, and further optimizes the running model. Specifically, the Internet of Things field data acquisition instrument in the embodiment is used for collecting corresponding data, and the cloud computing device management and control platform can determine whether the pump shaft is flexible according to the data of the shaft pressure collected by the pressure sensor; After that, according to the data of the water pressure sensor, it is determined whether the water pressure of the pump output is normal. According to the data collected by the acceleration sensor, it is judged whether the operation of each part is stable, no jumping, no obvious vibration, and the three-phase current is judged according to the data collected by the power collecting instrument. Whether the balance is less than 2%, whether the current is close to the rated value, whether the pump speed is within the normal range according to the signal of the water pump speed sensor.

 If the collected data is in the normal range, the device remains in the running state. If it is in the abnormal range, the cloud computing device management and control platform gives the corresponding control signal, so that the on-site IoT controller adjusts the running state of the pump to make it normal status. At the same time, the parameters in the abnormal running state are recorded to the history database, which becomes the reference value for the next judgment. The above embodiments are merely exemplary embodiments of the invention, and are not intended to limit the invention, the scope of the invention is defined by the appended claims. A person skilled in the art can make various modifications or equivalents to the invention within the spirit and scope of the invention, and such modifications or equivalents are also considered to fall within the scope of the invention.

Claims

Rights request A water pump management control system based on cloud computing, comprising: an Internet of Things field controller, configured to set a normal operating parameter of the water pump and to the water pump according to a normal operating parameter of the water pump The operation mode is managed and controlled, and the normal operation parameters of the water pump are transmitted to the cloud computing device management and control platform;  An Internet of Things field data collector for collecting actual operating parameters of the water pump and transmitting it to a cloud computing device management and control platform;  The cloud computing device management and control platform is configured to adjust a management and control mode of the Internet of Things field controller according to actual operating parameters and normal operating parameters of the water pump.  2. The cloud computing-based water pump management control system according to claim 1, wherein the cloud computing device management and control platform specifically comprises:  a receiving unit, configured to receive actual operating parameters of the water pump collected by the Internet of Things field data collector and normal operating parameters of the water pump set by the Internet of Things field controller;  a first determining unit, configured to determine whether an actual running parameter of the water pump matches a normal running parameter, and generate a determination result;  a running model generating unit, configured to generate a corresponding running model according to an actual running parameter of the water pump when the determining result of the first determining unit is a match;  Running a model database for storing various historical running models of the water pump; a second determining unit, configured to determine whether the generated running model matches a corresponding historical running model in the running model database and generate a judgment result;  And a control mode adjusting unit, configured to adjust a management and control mode of the watermark field controller to the water pump when the determination result of the first determining unit or the second determining unit is a mismatch.  The cloud computing-based water pump management control system according to claim 1 or 2, wherein the actual operating parameters of the water pump include real-time operating parameters and safety parameters; and the real-time operating parameters include the flow rate of the water pump. , motor speed, pressure, cold erosion margin, acceleration, motor torque and power consumption; the safety parameters include the protection current, protection voltage, protection power and motor safety speed of the water pump. The cloud computing-based water pump management control system according to claim 2, wherein the corresponding historical operation model in the operation model database refers to an operational status A historical running model that matches a bundle parameter with the generated operational model, the operational constraint parameter including one or a combination of an application environment parameter, a design parameter, an application site type parameter, and an actual operation type parameter of the water pump.  A method for controlling a water pump management based on a cloud computing, comprising: S11: managing and controlling an operation mode of the water pump according to a set normal operation parameter of the water pump, and The normal operation parameters are transmitted to the cloud computing device management and control platform;  S12: collecting actual operating parameters of the water pump and transmitting to the cloud computing device management and control platform;  S13: Adjusting the management and control mode of the water pump according to the actual operating parameters and normal operating parameters of the water pump under the cloud computing device management and control platform.  The cloud computing-based water pump management control method according to claim 5, wherein the step S13 specifically includes:  S131: determining whether the actual running parameter of the water pump and the normal running parameter match; if not, performing step S135, if yes, performing step S132;  S132: Generate a corresponding running model according to the actual running parameter of the water pump; S133: determine whether the generated running model matches a corresponding historical running model in the running model database; if not, perform step S135, if matched, execute Step S134;  S134: maintaining a management and control mode for the water pump;  S135: Adjust the management and control mode of the water pump.  The cloud computing-based water pump management control method according to claim 6, wherein after performing the step S134, the method further comprises the step S136, wherein the generated running model is added to the running model database.  The cloud computing-based water pump management control method according to claim 6, wherein the corresponding historical running model in the running model database refers to a historical running in which the operating condition constraint parameter matches the generated running model. The model, the health constraint parameter includes one or a combination of an application environment parameter, a design parameter, an application site type parameter, and an actual operation type parameter of the water pump. The cloud computing-based water pump management control method according to claim 5 or 6, wherein the actual operating parameters of the water pump include real-time operating parameters and safety parameters; The real-time operating parameters include flow rate of the water pump, motor speed, pressure, cold erosion margin, acceleration, motor torque, and power consumption; the safety parameters include protection current, protection voltage, protection power, and motor of the water pump Safe speed.  10. The cloud computing-based water pump management control method according to claim 5 or 6, wherein the normal operating parameters and actual operating parameters of the water pump are all through a wireless internet network, a wired internet network, a GPRS, a GPS, a Beidou. Any of the system, 3G network, and 4G network is transmitted to the cloud computing device management and control platform.