CN114167731B - Remote control method of sewage sampler and sewage treatment control system - Google Patents
Remote control method of sewage sampler and sewage treatment control system Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000005070 sampling Methods 0.000 claims abstract description 10
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- 238000010219 correlation analysis Methods 0.000 claims description 3
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- 239000002351 wastewater Substances 0.000 claims 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The embodiment of the application provides a remote control method and a sewage treatment control system of a sewage sampler, which are used for acquiring first sewage control execution path information of a target sewage control unit in a sewage sampling area of the sewage sampler; determining a real-time control characteristic of the target sewage control unit based on the first sewage control execution path information; based on the feedback control unit corresponding to the real-time control characteristic, carrying out feedback control decision on the target sewage control unit to obtain feedback control decision information; and performing backward feedback control on the target sewage control unit based on the feedback control decision information, and performing further feedback control in a feedback control decision dimension to improve the accuracy of sampling control of the sewage sampling area.
Description
Technical Field
The application relates to the technical field of sewage samplers, in particular to a remote control method and a sewage treatment control system of a sewage sampler.
Background
With the increasing prominence of environmental problems, environmental protection is emphasized, and with the continuous expansion of environmental monitoring markets, sewage samplers are indispensable in urban sewage management, however, in the related art, further feedback control is not performed in a feedback control decision dimension, so that the accuracy of sampling control of a sewage sampling area still cannot achieve the expected effect.
Disclosure of Invention
In order to improve the technical problems existing in the related art, the application provides a remote control method of a sewage sampler and a sewage treatment control system.
The application provides a remote control method of a sewage sampler, which comprises the following steps:
acquiring first sewage control execution path information of a target sewage control unit in a sewage sampling area of a sewage sampler; determining a real-time control characteristic of the target sewage control unit based on the first sewage control execution path information;
based on the feedback control unit corresponding to the real-time control characteristic, carrying out feedback control decision on the target sewage control unit to obtain feedback control decision information; and performing feedback control on the target sewage control unit based on the feedback control decision information.
Preferably, the determining the real-time control characteristic of the target sewage control unit based on the first sewage control execution path information includes:
performing relevance analysis on the first sewage control execution path information and sewage control execution path information in a preset control activity database to obtain relevance analysis information; and determining the real-time control characteristic based on the relevance analysis information.
Preferably, the determining the real-time control feature based on the relevance analysis information includes:
if the relevance analysis information is determined to be second sewage control execution path information corresponding to the first sewage control execution path information in the preset control activity database, acquiring execution log data of the second sewage control execution path information;
if the execution log data is determined to be dynamic execution log data or active execution log data, determining that the real-time control feature is a first real-time control feature;
if it is determined that the execution log data is not dynamic execution log data and is not proactive execution log data, the real-time control feature is determined to be a second real-time control feature.
Preferably, the determining the real-time control feature based on the relevance analysis information includes:
if the relevance analysis information is determined to be that second sewage control execution path information corresponding to the first sewage control execution path information exists in the preset control activity database, determining that the real-time control characteristic is a first real-time control characteristic; and if the relevance analysis information is determined to be that the second sewage control execution path information corresponding to the first sewage control execution path information does not exist in the preset control activity database, determining that the real-time control characteristic is a second real-time control characteristic.
Preferably, the feedback control decision is performed on the target sewage control unit based on the feedback control unit corresponding to the real-time control feature, so as to obtain feedback control decision information, including:
if the real-time control feature is determined to be the first real-time control feature, outputting guiding information for optimizing attribute acquisition; receiving the optimized attribute transmitted by the target sewage control unit; and carrying out feedback control decision on the target sewage control unit based on the first sewage control execution path information and the third sewage control execution path information corresponding to the optimized attribute so as to obtain the feedback control decision information.
Preferably, the method further comprises:
and if the real-time control characteristic is determined to be a second real-time control characteristic, carrying out feedback control decision on the target sewage control unit based on the first sewage control execution path information so as to obtain feedback control decision information.
Preferably, the feedback control decision is performed on the target sewage control unit based on the feedback control unit corresponding to the real-time control feature, so as to obtain feedback control decision information, including:
if the real-time control characteristic is determined to be a first real-time control characteristic, analyzing the first sewage control execution path information through a previously trained active execution log data mining model to obtain feedback characteristic mining information; and carrying out feedback control decision on the target sewage control unit based on the feedback characteristic mining information so as to obtain the feedback control decision information.
Preferably, the feedback control decision is performed on the target sewage control unit based on the feedback control unit corresponding to the real-time control feature, so as to obtain feedback control decision information, including:
if the real-time control feature is determined to be the first real-time control feature, outputting guiding information for optimizing attribute acquisition; receiving the optimized attribute transmitted by the target sewage control unit;
acquiring a first optimization entity and first optimization staged control information based on the optimization attribute; acquiring global sewage control characteristics of the target sewage control unit;
determining a second optimization entity and second optimization staged control information of the target sewage control unit based on the global sewage control feature;
and carrying out feedback control decision on the target sewage control unit based on the first optimizing entity, the first optimizing stage control information, the second optimizing entity and the second optimizing stage control information so as to obtain the feedback control decision information.
The application also provides a sewage treatment control system, which comprises a memory, a processor and a network module; wherein the memory, the processor and the network module are electrically connected directly or indirectly; the processor implements the above method by reading a computer program from the memory and running it.
The technical scheme provided by the embodiment of the application can comprise the following beneficial effects.
The method comprises the steps of acquiring first sewage control execution path information of a target sewage control unit in a sewage sampling area of a sewage sampler, determining real-time control characteristics of the target sewage control unit based on the first sewage control execution path information, and performing feedback control decision on the target sewage control unit based on a feedback control unit corresponding to the real-time control characteristics so as to obtain feedback control decision information, and performing backward feedback control on the target sewage control unit based on the feedback control decision information.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of a remote control method of a sewage sampler provided in an embodiment of the present application.
Fig. 2 is a schematic hardware structure of a sewage treatment control system according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
Referring to fig. 1 in combination, a schematic flow chart of a remote control method of a sewage sampler is provided in an embodiment of the present application, and the method is applied to a sewage treatment control system, and an exemplary design concept of the method may be specifically described by the following steps 1 and 2.
Step 1, acquiring first sewage control execution path information of a target sewage control unit in a sewage sampling area of a sewage sampler; and determining real-time control characteristics of the target sewage control unit based on the first sewage control execution path information.
Step 2, based on the feedback control unit corresponding to the real-time control characteristic, carrying out feedback control decision on the target sewage control unit to obtain feedback control decision information; and performing feedback control on the target sewage control unit based on the feedback control decision information.
In an exemplary design concept, the determining the real-time control feature of the target sewage control unit based on the first sewage control execution path information may specifically include: performing relevance analysis on the first sewage control execution path information and sewage control execution path information in a preset control activity database to obtain relevance analysis information; and determining the real-time control characteristic based on the relevance analysis information.
In an exemplary design concept, the determining the real-time control feature based on the relevance analysis information may specifically include: if the relevance analysis information is determined to be second sewage control execution path information corresponding to the first sewage control execution path information in the preset control activity database, acquiring execution log data of the second sewage control execution path information; if the execution log data is determined to be dynamic execution log data or active execution log data, determining that the real-time control feature is a first real-time control feature; if it is determined that the execution log data is not dynamic execution log data and is not proactive execution log data, the real-time control feature is determined to be a second real-time control feature.
In an exemplary design concept, the determining the real-time control feature based on the correlation analysis information may specifically further include: if the relevance analysis information is determined to be that second sewage control execution path information corresponding to the first sewage control execution path information exists in the preset control activity database, determining that the real-time control characteristic is a first real-time control characteristic; and if the relevance analysis information is determined to be that the second sewage control execution path information corresponding to the first sewage control execution path information does not exist in the preset control activity database, determining that the real-time control characteristic is a second real-time control characteristic.
In an exemplary design concept, the performing, based on a feedback control unit corresponding to the real-time control feature, a feedback control decision on the target sewage control unit to obtain feedback control decision information may specifically include: if the real-time control feature is determined to be the first real-time control feature, outputting guiding information for optimizing attribute acquisition; receiving the optimized attribute transmitted by the target sewage control unit; and carrying out feedback control decision on the target sewage control unit based on the first sewage control execution path information and the third sewage control execution path information corresponding to the optimized attribute so as to obtain the feedback control decision information.
In an exemplary design concept, the method may further include the following description: and if the real-time control characteristic is determined to be a second real-time control characteristic, carrying out feedback control decision on the target sewage control unit based on the first sewage control execution path information so as to obtain feedback control decision information.
In an exemplary design concept, the performing, based on a feedback control unit corresponding to the real-time control feature, a feedback control decision on the target sewage control unit to obtain feedback control decision information includes: if the real-time control characteristic is determined to be a first real-time control characteristic, analyzing the first sewage control execution path information through a previously trained active execution log data mining model to obtain feedback characteristic mining information; and carrying out feedback control decision on the target sewage control unit based on the feedback characteristic mining information so as to obtain the feedback control decision information.
In an exemplary design concept, the performing, based on a feedback control unit corresponding to the real-time control feature, a feedback control decision on the target sewage control unit to obtain feedback control decision information includes: if the real-time control feature is determined to be the first real-time control feature, outputting guiding information for optimizing attribute acquisition; receiving the optimized attribute transmitted by the target sewage control unit; acquiring a first optimization entity and first optimization staged control information based on the optimization attribute; acquiring global sewage control characteristics of the target sewage control unit; determining a second optimization entity and second optimization staged control information of the target sewage control unit based on the global sewage control feature; and carrying out feedback control decision on the target sewage control unit based on the first optimizing entity, the first optimizing stage control information, the second optimizing entity and the second optimizing stage control information so as to obtain the feedback control decision information.
By executing the steps 1 and 2, the first sewage control execution path information of the target sewage control unit in the sewage sampling area of the sewage sampler is obtained, the real-time control feature of the target sewage control unit is determined based on the first sewage control execution path information, the feedback control decision is performed on the target sewage control unit based on the feedback control unit corresponding to the real-time control feature, so as to obtain feedback control decision information, and the feedback control decision information is used for performing backward feedback control on the target sewage control unit, so that the feedback control decision can be performed based on the feedback control unit corresponding to the real-time control feature of the target sewage control unit, and the feedback control decision is performed on the target sewage control unit by adopting the same feedback control unit in comparison with the existing scheme.
On the basis of the above, please refer to fig. 2 in combination, the present application further provides a schematic hardware structure of the sewage treatment control system 20, which specifically includes a memory 21, a processor 22, a network module 23 and a remote control device of the sewage sampler. The memory 21, the processor 22 and the network module 23 are electrically connected, either directly or indirectly, to enable transmission or interaction of data. For example, the components may be electrically connected to each other by one or more communication buses or signal lines. The memory 21 stores therein food production data processing means comprising at least one software functional module which may be stored in the memory 21 in the form of software or firmware (firmware), the processor 22 being adapted to execute the software programs and modules stored in the memory 21.
The Memory 21 may be, but is not limited to, a random access Memory (Random Access Memory, RAM), a Read Only Memory (ROM), a programmable Read Only Memory (Programmable Read-Only Memory, PROM), an erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc. The memory 21 is used for storing a program, and the processor 22 executes the program after receiving an execution instruction.
The processor 22 may be an integrated circuit chip having data processing capabilities. The processor 22 may be a general-purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc. The methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The network module 23 is used for establishing a communication connection between the sewage treatment control system 20 and other communication terminal devices through a network, and implementing the transceiving operation of network signals and data. The network signals may include wireless signals or wired signals.
In an exemplary design concept, there is also provided a readable storage medium having stored thereon a program which when executed by a processor implements the above-described method.
It is to be understood that the present application is not limited to the precise construction set forth above and shown in the drawings, and that various modifications and changes may be effected therein without departing from the scope thereof. The scope of the application is limited only by the appended claims.
It is well known to those skilled in the art that with the trend of electronic information technology such as large scale integrated circuit technology and software hardware, it has become difficult to clearly divide the software and hardware boundaries of a computer system. Because any operations may be implemented in software or hardware. Execution of any instructions may be accomplished by hardware as well as software. Whether a hardware implementation or a software implementation is employed for a certain machine function depends on non-technical factors such as price, speed, reliability, storage capacity, change period, etc. Thus, it will be more straightforward and clear to one of ordinary skill in the electronic information arts that one of the solutions is described in terms of the individual operations in that solution. Those skilled in the art can directly design the desired product based on consideration of the non-technical factors, knowing the operation to be performed.
The present application may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present application.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for performing the operations of the present application may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present application are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for computer readable program instructions, which may execute the computer readable program instructions.
Various aspects of the present application are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are all equivalent.
The embodiments of the present application have been described above, the foregoing description is exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvements in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the application is defined by the appended claims.
Claims (8)
1. A remote control method of a sewage sampler, the method comprising:
acquiring first sewage control execution path information of a target sewage control unit in a sewage sampling area of a sewage sampler; determining a real-time control characteristic of the target sewage control unit based on the first sewage control execution path information;
based on the feedback control unit corresponding to the real-time control characteristic, carrying out feedback control decision on the target sewage control unit to obtain feedback control decision information; performing feedback control on the target sewage control unit based on the feedback control decision information;
the determining the real-time control characteristic of the target sewage control unit based on the first sewage control execution path information includes:
performing relevance analysis on the first sewage control execution path information and sewage control execution path information in a preset control activity database to obtain relevance analysis information; and determining the real-time control characteristic based on the relevance analysis information.
2. The remote control method of a sewage sampler according to claim 1, wherein the determining the real-time control feature based on the correlation analysis information includes:
if the relevance analysis information is determined to be second sewage control execution path information corresponding to the first sewage control execution path information in the preset control activity database, acquiring execution log data of the second sewage control execution path information;
if the execution log data is determined to be dynamic execution log data or active execution log data, determining that the real-time control feature is a first real-time control feature;
if it is determined that the execution log data is not dynamic execution log data and is not proactive execution log data, the real-time control feature is determined to be a second real-time control feature.
3. The remote control method of a sewage sampler according to claim 1, wherein the determining the real-time control feature based on the correlation analysis information includes:
if the relevance analysis information is determined to be that second sewage control execution path information corresponding to the first sewage control execution path information exists in the preset control activity database, determining that the real-time control characteristic is a first real-time control characteristic; and if the relevance analysis information is determined to be that the second sewage control execution path information corresponding to the first sewage control execution path information does not exist in the preset control activity database, determining that the real-time control characteristic is a second real-time control characteristic.
4. A remote control method of a sewage sampler according to claim 2 or 3, wherein the performing feedback control decision on the target sewage control unit based on the feedback control unit corresponding to the real-time control feature to obtain feedback control decision information includes:
if the real-time control feature is determined to be the first real-time control feature, outputting guiding information for optimizing attribute acquisition; receiving the optimized attribute transmitted by the target sewage control unit; and carrying out feedback control decision on the target sewage control unit based on the first sewage control execution path information and the third sewage control execution path information corresponding to the optimized attribute so as to obtain the feedback control decision information.
5. The method for remotely controlling a sewage sampler according to claim 4, further comprising:
and if the real-time control characteristic is determined to be a second real-time control characteristic, carrying out feedback control decision on the target sewage control unit based on the first sewage control execution path information so as to obtain feedback control decision information.
6. A remote control method of a sewage sampler according to claim 2 or 3, wherein the performing feedback control decision on the target sewage control unit based on the feedback control unit corresponding to the real-time control feature to obtain feedback control decision information includes:
if the real-time control characteristic is determined to be a first real-time control characteristic, analyzing the first sewage control execution path information through a previously trained active execution log data mining model to obtain feedback characteristic mining information; and carrying out feedback control decision on the target sewage control unit based on the feedback characteristic mining information so as to obtain the feedback control decision information.
7. A remote control method of a sewage sampler according to claim 2 or 3, wherein the performing feedback control decision on the target sewage control unit based on the feedback control unit corresponding to the real-time control feature to obtain feedback control decision information includes:
if the real-time control feature is determined to be the first real-time control feature, outputting guiding information for optimizing attribute acquisition; receiving the optimized attribute transmitted by the target sewage control unit;
acquiring a first optimization entity and first optimization staged control information based on the optimization attribute; acquiring global sewage control characteristics of the target sewage control unit;
determining a second optimization entity and second optimization staged control information of the target sewage control unit based on the global sewage control feature;
and carrying out feedback control decision on the target sewage control unit based on the first optimizing entity, the first optimizing stage control information, the second optimizing entity and the second optimizing stage control information so as to obtain the feedback control decision information.
8. The sewage treatment control system is characterized by comprising a memory, a processor and a network module; wherein the memory, the processor and the network module are electrically connected directly or indirectly; the processor is configured to implement the method for remotely controlling a wastewater sampler according to any one of claims 1 to 7 by reading a computer program from the memory and running the computer program.
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