阅读说明：本技术 一种面向多类型空调末端的物联智能控制系统 (Internet of things intelligent control system for multiple types of air conditioner terminals ) 是由 刘超 陈明锋 于 2021-10-11 设计创作，主要内容包括：本发明属于暖通技术领域,公开了一种面向多类型空调末端的物联智能控制系统,包括智能控制器和云平台,智能控制器包括主控制器、数据采集/控制模块和通讯模块；主控制器包括多个控制逻辑模块,每个控制逻辑模块分别包括数据采集端口和控制模块端口,每台末端设备上的传感器与智能控制器的对应的数据采集端口连接,执行器与智能控制器对应的控制模块端口连接；云平台用于远程调试、控制末端设备运行、设备信息展示、数据分析、末端空调设备控制逻辑模块优化下发。本发明的控制器增加末端空调设备控制的集成度,降低设备集控的复杂度,可对单台设备远程优化。(The invention belongs to the technical field of heating ventilation, and discloses an intelligent control system of an internet of things for the tail end of a multi-type air conditioner, which comprises an intelligent controller and a cloud platform, wherein the intelligent controller comprises a main controller, a data acquisition/control module and a communication module; the main controller comprises a plurality of control logic modules, each control logic module comprises a data acquisition port and a control module port, a sensor on each terminal device is connected with the corresponding data acquisition port of the intelligent controller, and an actuator is connected with the corresponding control module port of the intelligent controller; the cloud platform is used for remote debugging, control of terminal equipment operation, equipment information display, data analysis and optimized issuing of a terminal air conditioning equipment control logic module. The controller of the invention increases the integration level of the control of the tail end air conditioning equipment, reduces the complexity of the centralized control of the equipment and can remotely optimize the single equipment.)

1. An intelligent control system of an internet of things for the tail ends of various air conditioners is characterized by comprising an intelligent controller and a cloud platform, wherein the intelligent controller comprises a main controller, a data acquisition/control module and a communication module;

the main controller comprises an AHU control logic module, a PAU control logic module, an exhaust fan control logic module and a sewage pump control logic module, each control logic module comprises a data acquisition port and a control module port, a sensor on each terminal device is connected with the corresponding data acquisition port of the intelligent controller, an actuator is connected with the corresponding control module port of the intelligent controller, each control logic module is pre-assigned to read or send data from the large module port of the corresponding device, and the corresponding control logic module is started according to the type of the device connected on site;

the communication module is connected with the intelligent controller and the cloud platform and used for transmitting communication data between the main controller and the cloud platform;

the cloud platform is used for remote debugging, controlling the operation of the terminal equipment, displaying equipment information, analyzing data and optimally issuing a control logic module of the terminal air conditioning equipment.

2. The intelligent control system of multi-type air conditioner terminal oriented internet of things of claim 1, wherein the AHU control logic module controls the AHU device through an AHU data acquisition port and an AHU control port, the PAU control logic module controls the PAU device through an PAU data acquisition port and a PAU control port, the air supply and exhaust machine control logic module controls the air supply and exhaust machine through an air supply and exhaust machine data acquisition port and an air supply and exhaust machine control port, and the sewage pump control logic module controls the sewage pump through a sewage pump data acquisition port and a sewage pump control port.

3. The intelligent control system of things internet facing multiple types of air conditioner terminals as claimed in claim 1, wherein the communication module is one of WiFi, Lora, 4G communication modules, and is used for data transmission between the main controller and the cloud platform.

4. The intelligent control system for multi-type air conditioner terminals in internet of things as claimed in claim 1, wherein the remote debugging means can modify operation parameters and set new parameters on a cloud platform for the installed terminal equipment to ensure that the equipment operates according to user requirements.

5. The intelligent control system of the internet of things for the multi-type air conditioner terminal as claimed in claim 1, wherein the controlling of the terminal device comprises a user issuing a command to a specific terminal device through a cloud platform in a single or batch mode, the command being issued to a local intelligent controller by the cloud platform, and the intelligent controller controlling the device to operate according to the user command.

6. The intelligent control system of an internet of things for multiple types of air conditioner terminals as claimed in claim 1, wherein the equipment information display comprises displaying a three-dimensional model of a terminal equipment, sensor data, equipment operation data, setting parameters, feedback data information and monitoring point location information on a cloud platform.

7. The intelligent control system of the multi-type air conditioner terminal oriented internet of things as claimed in claim 1, wherein the data analysis refers to information used for display or for optimizing strategy use after data classification and cleaning are performed on monitoring point location information of terminal air conditioning equipment uploaded by an intelligent controller by a cloud platform and data analysis is performed according to a specific algorithm.

8. The intelligent Internet of things control system for the terminals of the multiple types of air conditioners according to claim 1, wherein after the terminal device control logic module optimizes the issuing instruction platform to analyze and collate data of terminal device operation parameter information for a period of time, performance or energy efficiency improvement points are excavated, and the purpose of improvement is achieved through an optimized control strategy, so that after the terminal device control logic module is optimized and updated, the terminal device control logic module is issued to a main controller through an OTA (over the air) to update the terminal device control logic module, and the operation efficiency of the device is continuously optimized.

9. The intelligent control system of the multi-type air conditioner terminal oriented internet of things as claimed in claim 6, wherein the monitoring point location information comprises:

the input information of an analog input interface of the AHU comprises air supply temperature, air return temperature, air supply humidity and air return carbon dioxide concentration, the input information of a digital input interface comprises filter screen alarm, air feeder state and air feeder fault, air feeder differential pressure monitoring, air feeder manual automatic state and anti-freezing switch state, the output information of a digital output interface comprises air feeder start and stop, and the output information of the analog output interface comprises cold/hot water valve regulation, air return valve regulation, AHU fresh air valve regulation and fan frequency converter frequency control;

the input information of an analog input interface of the PAU comprises air supply temperature, air supply humidity, cold/hot water valve feedback and fan frequency converter frequency feedback, the input information of a digital input interface comprises filter screen alarm, air supply machine state, air supply machine fault, air supply machine pressure difference monitoring, air supply machine manual automatic state, new air supply machine fresh air valve regulation feedback and anti-freezing switch state, the output information of a digital output interface comprises air supply machine start-stop and new air supply machine fresh air valve regulation, and the output information of the analog output interface comprises cold/hot water valve regulation and fan frequency converter frequency control;

the input information of an analog input interface of the air supply/exhaust fan comprises carbon monoxide concentration, the input information of a digital input interface comprises the state of an air feeder and the fault of the air feeder, the pressure difference monitoring of the air feeder and the manual and automatic state of the air feeder, and the output information of a digital output interface comprises the start and stop of the air feeder;

the digital input interface input information of the sewage pump comprises a water pump state, a water pump fault, a water pump manual automatic state, an overflow water level, a high water level and an extremely low water level, and the digital output interface output information comprises the start and stop of the water pump.

Technical Field

The invention belongs to the technical field of heating ventilation, and particularly relates to an intelligent control system of an internet of things for the tail ends of multiple types of air conditioners.

Background

The air-conditioning box is the terminal air-conditioning equipment commonly used in the terminal central air-conditioning system, and various types of terminal air-conditioning equipment are provided for the market meeting different application scenes and functional requirements, such as a combined air-conditioning box (AHU), a fresh air machine (PAU), an air supply/exhaust fan, a sewage pump and the like, and the control strategies of the terminal air-conditioning equipment are greatly different, so that a set of specific control system needs to be installed on each terminal equipment on the spot, the on-spot debugging workload is large, the wiring is complex, and the centralized control is not facilitated.

Control protocols of different manufacturers of each terminal device are different, control software is solidified in a controller, operation strategies cannot be adjusted according to the actual operation state of each terminal air-conditioning device, continuous expansibility optimization does not exist, and therefore a plurality of air-conditioning boxes are found to be poor in state or high in energy consumption after being operated for a period of time, users can only pay for paying for factory personnel to carry out field debugging, or the original control system is directly replaced integrally, operation and maintenance cost is increased, and meanwhile waste of operation energy consumption is caused.

Disclosure of Invention

In view of the above, the present invention provides an intelligent control system for multiple types of air conditioner terminals, which provides a set of integrated, extensible, function-capable wireless OTA (over the air) and remote-debugging terminal air conditioner control system, and includes a set of intelligent controller simultaneously integrating multiple terminal air conditioner control logics and a cloud platform for OTA upgrade, device status display and remote control of devices. The controller is internally provided with a standard control logic module covering an AHU, a PAU, an air supply/exhaust fan and a sewage pump, and can be simultaneously connected with a plurality of different types of terminal air-conditioning equipment, so that the current situation that one set of control equipment is installed on one terminal equipment is changed, the control integration level of the terminal air-conditioning equipment is increased, and the centralized control complexity of the equipment is reduced.

Meanwhile, the local intelligent controller can be remotely optimized and debugged by combining the internet of things technology and the cloud platform, the efficient control strategy of the equipment is kept, the expandability of the control system is improved, the remote customized optimization of single equipment can be realized, and meanwhile, the platform can utilize big data analysis to continuously explore the operation optimization space of the equipment, improve the operation efficiency of the equipment and reduce the operation energy consumption of the equipment.

The invention discloses an intelligent control system of an internet of things for the tail end of a multi-type air conditioner, which comprises an intelligent controller and a cloud platform, wherein the intelligent controller comprises a main controller, a data acquisition/control module and a communication module;

the main controller comprises an AHU control logic module, a PAU control logic module, an exhaust fan control logic module and a sewage pump control logic module, each control logic module comprises a data acquisition port and a control module port, a sensor on each terminal device is connected with the corresponding data acquisition port of the intelligent controller, an actuator is connected with the corresponding control module port of the intelligent controller, each control logic module is pre-assigned to read or send data from the large module port of the corresponding device, and the corresponding control logic module is started according to the type of the device connected on site;

the main controller is responsible for sensor data acquisition and control instruction issuing, and the communication module is connected with the intelligent controller and the cloud platform and used for transmitting communication data between the main controller and the cloud platform;

the cloud platform is used for remote debugging, controlling the operation of the terminal equipment, displaying equipment information, analyzing data and optimally issuing a control logic module of the terminal air conditioning equipment.

Further, the AHU control logic module controls the AHU equipment through an AHU data acquisition port and an AHU control port, the PAU control logic module controls the PAU equipment through the PAU data acquisition port and the PAU control port, the air supply and exhaust machine control logic module controls the air supply and exhaust machine through an air supply and exhaust machine data acquisition port and an air supply and exhaust machine control port, and the sewage pump control logic module controls the sewage pump through a sewage pump data acquisition port and a sewage pump control port.

Furthermore, the communication module is one of WiFi, Lora and 4G communication modules and is used for data transmission between the main controller and the cloud platform.

Furthermore, the remote debugging means that for the installed terminal equipment, the operation parameters can be modified and new parameters can be set on the cloud platform to ensure that the equipment operates according to the requirements of the user.

Furthermore, the control of the operation of the terminal equipment refers to that a user issues instructions to specific terminal equipment through the cloud platform in a single or batch mode, the instructions are issued to the local intelligent controller through the cloud platform, and the intelligent controller controls the equipment to operate according to the instructions of the user.

Further, the equipment information display means that a three-dimensional model, sensor data, equipment operation data, set parameters, feedback data information and monitoring point location information of the connected terminal equipment are displayed on the cloud platform.

Further, the data analysis refers to that the cloud platform classifies and cleans the monitoring point location information of the terminal air conditioning equipment uploaded by the intelligent controller, and performs data analysis according to a specific algorithm to serve as input information for display or for optimizing strategy use.

Furthermore, after the control logic module of the end equipment optimally issues the instruction platform to analyze and arrange the data of the operation parameter information of the end equipment for a period of time, the performance or energy efficiency improving point is excavated, and the aim of improving is achieved by optimizing the control strategy, so that after the control logic module is optimally updated, the control logic module is issued to the main controller through the OTA to update the control module and continuously optimize the operation efficiency of the equipment.

Further, the monitoring point location information includes:

the input information of an analog input interface of the AHU comprises air supply temperature, air return temperature, air supply humidity and air return carbon dioxide concentration, the input information of a digital input interface comprises filter screen alarm, air feeder state and air feeder fault, air feeder differential pressure monitoring, air feeder manual automatic state and anti-freezing switch state, the output information of a digital output interface comprises air feeder start and stop, and the output information of the analog output interface comprises cold/hot water valve regulation, air return valve regulation, AHU fresh air valve regulation and fan frequency converter frequency control;

the input information of an analog input interface of the PAU comprises air supply temperature, air supply humidity, cold/hot water valve feedback and fan frequency converter frequency feedback, the input information of a digital input interface comprises filter screen alarm, air supply machine state, air supply machine fault, air supply machine pressure difference monitoring, air supply machine manual automatic state, new air supply machine fresh air valve regulation feedback and anti-freezing switch state, the output information of a digital output interface comprises air supply machine start-stop and new air supply machine fresh air valve regulation, and the output information of the analog output interface comprises cold/hot water valve regulation and fan frequency converter frequency control;

the input information of an analog input interface of the air supply/exhaust fan comprises carbon monoxide concentration, the input information of a digital input interface comprises the state of an air feeder and the fault of the air feeder, the pressure difference monitoring of the air feeder and the manual and automatic state of the air feeder, and the output information of a digital output interface comprises the start and stop of the air feeder;

the digital input interface input information of the sewage pump comprises a water pump state, a water pump fault, a water pump manual automatic state, an overflow water level, a high water level and an extremely low water level, and the digital output interface output information comprises the start and stop of the water pump.

The invention has the following beneficial effects:

the controller of the invention is internally provided with a standardized control logic module covering the AHU, the PAU, the air supply/exhaust fan and the sewage pump, can be simultaneously connected with a plurality of different types of terminal air-conditioning equipment, changes the current situation that one terminal equipment is provided with one set of control equipment, increases the integration level of the control of the terminal air-conditioning equipment and reduces the complexity of the centralized control of the equipment.

The local intelligent controller is remotely optimized and debugged by combining an internet of things technology and a cloud platform, an efficient control strategy of the equipment is kept, the expandability of a control system is improved, the remote customized optimization of single equipment can be realized, meanwhile, the platform can utilize big data analysis to continuously explore the operation optimization space of the equipment, the operation efficiency of the equipment is improved, and the operation energy consumption of the equipment is reduced.

Drawings

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

Detailed Description

The invention is further described with reference to the accompanying drawings, but the invention is not limited in any way, and any alterations or substitutions based on the teaching of the invention are within the scope of the invention.

An intelligent Internet of things control system for multiple types of air conditioner terminals comprises an intelligent controller and a cloud platform, wherein the intelligent controller integrates control logics of multiple types of terminal air conditioning equipment. The intelligent controller is characterized in that a main controller, a data acquisition module port, a control module port and a communication module are integrated in the intelligent controller, a sensor on each terminal device is connected with the corresponding data acquisition port of the intelligent controller, actuators such as an electric valve and a motor are connected with the control module port corresponding to the intelligent controller, the main controller is responsible for sensor data acquisition and control instruction issuing, and the communication module is connected with the intelligent controller and a cloud platform and used for transmitting communication data between the main controller and the cloud platform.

The control logic of the terminal air-conditioning equipment is arranged in the main controller and comprises standard control logic modules of a combined air-conditioning box AHU, a fresh air conditioning box PAU, an air supply and exhaust fan and a sewage pump, wherein each control logic module is pre-assigned to read or send data from a large module port of corresponding equipment, and the corresponding control logic module is started according to the type of the equipment connected on site.

The data acquisition module and the control module port in the intelligent controller support expansion, and the data acquisition and control module ports of the combined air conditioning box, the fresh air conditioning box, the air supply and exhaust fan and the sewage pump are respectively integrated into a single large module, so that the large modules can be added and deleted as required.

The communication module comprises WiFi, Lora and 4G communication modules and is responsible for data transmission between the main controller and the cloud platform.

The cloud platform is a remote control platform and is responsible for functions of remote debugging, control over operation of the terminal equipment, equipment information display, data analysis, optimized issuing of a control logic module of the terminal air conditioning equipment and the like.

The remote debugging means that for the installed terminal equipment, the operation parameters are modified and new parameters are set on the cloud platform to ensure that the equipment operates according to the requirements of users.

The control of the operation of the terminal equipment means that a user issues instructions to specific terminal equipment through the cloud platform in a single or batch mode, the instructions are issued to the local intelligent controller through the cloud platform, and then the intelligent controller controls the equipment to operate according to the user instructions.

The equipment information display means displaying information such as a three-dimensional model, sensor data, equipment operation data, set parameters and feedback data of the connected terminal equipment on the cloud platform.

The data analysis means that the cloud platform classifies and cleans monitoring point location information of the terminal air conditioning equipment uploaded by the intelligent controller, analyzes the data according to a specific algorithm, and then uses the data as input information for display or for optimizing strategy purposes. The data classification can classify the data according to the information of the monitoring points, and the data cleaning can find out abnormal data in the data and remove the abnormal data, eliminate null data, remove repeated data and the like. Illustratively, the present embodiment uses Spark clusters for data cleansing.

After the terminal equipment control logic module optimizes and sends the data analysis and arrangement of the terminal equipment operation parameter information for a period of time by the pointing platform, a performance or energy efficiency promoting point is excavated, and the promotion purpose is realized by optimizing a control strategy, so that after the software control logic and the data model of the control logic module are optimized and upgraded, the software control logic and the data model are sent to the main controller by an OTA (over the air) to update the control logic module and continuously optimize the equipment operation efficiency.

The monitoring point location information of the end device, as shown in table 1, includes but is not limited to table 1 information:

TABLE 1 monitoring Point location information

The input information of an analog input interface of the AHU comprises air supply temperature, air return temperature, air supply humidity and air return carbon dioxide concentration, the input information of a digital input interface comprises filter screen alarm, air feeder state and air feeder fault, air feeder differential pressure monitoring, air feeder manual automatic state and anti-freezing switch state, the output information of a digital output interface comprises air feeder start and stop, and the output information of the analog output interface comprises cold/hot water valve regulation, air return valve regulation, AHU fresh air valve regulation and fan frequency converter frequency control;

the input information of an analog input interface of the PAU comprises air supply temperature, air supply humidity, cold/hot water valve feedback and fan frequency converter frequency feedback, the input information of a digital input interface comprises filter screen alarm, air supply machine state, air supply machine fault, air supply machine pressure difference monitoring, air supply machine manual automatic state, new air supply machine fresh air valve regulation feedback and anti-freezing switch state, the output information of a digital output interface comprises air supply machine start-stop and new air supply machine fresh air valve regulation, and the output information of the analog output interface comprises cold/hot water valve regulation and fan frequency converter frequency control;

the input information of an analog input interface of the air supply/exhaust fan comprises carbon monoxide concentration, the input information of a digital input interface comprises the state of an air feeder and the fault of the air feeder, the pressure difference monitoring of the air feeder and the manual and automatic state of the air feeder, and the output information of a digital output interface comprises the start and stop of the air feeder;

the digital input interface input information of the sewage pump comprises a water pump state, a water pump fault, a water pump manual automatic state, an overflow water level, a high water level and an extremely low water level, and the digital output interface output information comprises the start and stop of the water pump.

The working principle of the multi-type air conditioner terminal-oriented Internet of things intelligent control system is as follows:

s1: the standardized tail end air conditioning equipment control logic module is stored in a main controller of the intelligent controller;

s2: the main controller collects operation data of the tail end air conditioning equipment through the data collection port, calculates a control instruction through the built-in control logic module, and uploads equipment monitoring point location information to the cloud platform through the wireless transmission equipment to be used as data interface model display of the tail end air conditioning equipment;

s3: the main controller issues a new control instruction to the terminal equipment execution equipment through a corresponding control port of the terminal air conditioning equipment to control the terminal air conditioning equipment to operate;

s4: a user issues a control instruction through a data interface model of the tail-end air conditioning equipment on the cloud platform, the platform stores the instruction, the instruction is sent to the main controller through the wireless transmission equipment on the cloud platform, the main controller identifies the instruction, modifies program operation parameters and issues the instruction to the tail-end air conditioning actuator through the control module so as to execute the user instruction;

s5: after running for a period of time from S2 to S4, the cloud platform stores historical data of the terminal air-conditioning equipment;

s6: the cloud platform cleans, classifies and models the big data, analyzes the data by adopting a specific algorithm, optimizes the strategy of the control module to form a new control module, downloads the new control module to the intelligent controller, and the intelligent controller controls the operation of the terminal equipment according to the optimized control module.

S7: and repeating the steps S1-S6 in sequence.

Fig. 1 is a structural block diagram of an intelligent control system of an internet of things for a multi-type air conditioner terminal, which comprises an intelligent controller and a cloud platform. The intelligent controller is internally integrated with a main controller, a data acquisition module port, a control module port and a communication module of various terminal air conditioning equipment control logics, a sensor on the terminal equipment is connected with the data acquisition module port of the intelligent controller, actuators such as an electric valve and a motor are connected with the control module port, the main controller is responsible for sensor data acquisition and control instruction issuing, and the communication module is connected with the intelligent controller and a cloud platform and used for transmitting communication data between the main controller and the cloud platform.

The control logic of the tail-end air-conditioning equipment is arranged in the main controller of the intelligent controller and comprises a standard control logic module of a combined air-conditioning box, a fresh air-conditioning box, an air supply and exhaust fan and a sewage pump, the main controller of the intelligent controller reads data from a data acquisition port of corresponding equipment, an execution instruction is obtained after the operation of the control logic module, and the execution instruction is issued to an actuator of the tail-end air-conditioning equipment by a port of the corresponding control module.

The cloud platform is a remote control platform and is responsible for functions of remote debugging, control over operation of the terminal equipment, equipment information display, data analysis, optimized issuing of a control logic module of the terminal air conditioning equipment and the like. The cloud platform provides functions of remotely modifying the setting parameters and the control logic of the control module so as to facilitate equipment debugging; the user can also issue instructions to specific terminal equipment through the cloud platform in a single or batch mode, the instructions are issued to the local intelligent controller by the cloud platform, and then the intelligent controller controls the equipment to operate according to the user instructions; the cloud platform stores the operation data of the terminal air conditioning equipment acquired by the intelligent controller and displays detailed information on a three-dimensional model of the terminal equipment; meanwhile, the performance or energy efficiency improving points of each terminal air conditioning device can be excavated after the data are classified and cleaned, the aim of improving is achieved by optimizing a control strategy, so that the control logic module is optimized and upgraded, and then the control logic module is issued to the main controller through the OTA to update the control module and continuously optimize the operation efficiency of the device.

The data flow of the entire terminal air conditioning system is as follows: the intelligent controller acquisition module acquires data fed back by the tail end air conditioning equipment, issues a control instruction to the tail end air conditioning equipment actuator after the operation of the control module, and transmits historical data of input parameters, output parameters and control process information to the cloud computing platform in a wireless communication mode; after the user modifies the operation setting parameters of the terminal equipment on the cloud platform, the platform also sends the instruction to the intelligent controller, and the intelligent controller issues the instruction to the equipment actuator through the control module port to execute the instruction.

After the control system of the terminal air conditioning equipment operates for a period of time, the cloud platform trains a calculation model for controlling an operation process on historical data such as system state parameters, output control instructions, information of the control process and the like in a machine learning mode, forms an optimized control module and then downloads a new control module to the intelligent controller. The intelligent controller updates (replaces) the original control module by using the new control module, improves the operation efficiency of the equipment, and keeps the continuous updating and optimization of the operation strategy of the equipment.

The invention has the following beneficial effects:

compared with the prior art, the invention integrates the control functions of various types of terminal air-conditioning equipment on one set of equipment by using a modern control technology, a cloud computing and modularization technology, integrates the control functions, the control modules and the interface modules in a modularization mode, greatly increases the integration level of field control, can provide uniform interface display and control of different equipment by combining a cloud platform, can analyze the historical operating data of the equipment by big data, continuously optimizes the control logic, remotely updates the control modules, can remotely upgrade the control modules of single equipment or batch equipment OTA (over the air) through wireless transmission equipment, keeps the continuous and efficient operation of the terminal equipment, saves energy, reduces consumption and simultaneously keeps the continuous expansibility of a system.

The word "preferred" is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as "preferred" is not necessarily to be construed as advantageous over other aspects or designs. Rather, use of the word "preferred" is intended to present concepts in a concrete fashion. The term "or" as used in this application is intended to mean an inclusive "or" rather than an exclusive "or". That is, unless specified otherwise or clear from context, "X employs A or B" is intended to include either of the permutations as a matter of course. That is, if X employs A; b is used as X; or X employs both A and B, then "X employs A or B" is satisfied in any of the foregoing examples.

Also, although the disclosure has been shown and described with respect to one or an implementation, equivalent alterations and modifications will occur to others skilled in the art based upon a reading and understanding of this specification and the annexed drawings. The present disclosure includes all such modifications and alterations, and is limited only by the scope of the appended claims. In particular regard to the various functions performed by the above described components (e.g., elements, etc.), the terms used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., that is functionally equivalent), even though not structurally equivalent to the disclosed structure which performs the function in the herein illustrated exemplary implementations of the disclosure. In addition, while a particular feature of the disclosure may have been disclosed with respect to only one of several implementations, such feature may be combined with one or other features of the other implementations as may be desired and advantageous for a given or particular application. Furthermore, to the extent that the terms "includes," has, "" contains, "or variants thereof are used in either the detailed description or the claims, such terms are intended to be inclusive in a manner similar to the term" comprising.

Each functional unit in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or a plurality of or more than one unit are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium. The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Each apparatus or system described above may execute the storage method in the corresponding method embodiment.

In summary, the above-mentioned embodiment is an implementation manner of the present invention, but the implementation manner of the present invention is not limited by the above-mentioned embodiment, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be regarded as equivalent replacements within the protection scope of the present invention.