CN113971522A - Method and device for acquiring operating conditions of industrial gas boiler and electronic equipment - Google Patents
Method and device for acquiring operating conditions of industrial gas boiler and electronic equipment Download PDFInfo
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Abstract
The disclosure relates to the technical field of energy, and an embodiment of the disclosure discloses a method and a device for acquiring the operating condition of a gas industrial boiler and electronic equipment. One embodiment of the method comprises: acquiring preset health degree evaluation indexes, equipment operation evaluation indexes, start-up and shut-down states and operation state parameter data of the gas industrial boiler in the process of change of the start-up and shut-down states; performing data processing on the operation state parameter data to obtain processed operation state parameter data; calculating a health degree evaluation index value and an equipment operation evaluation index value of the gas industrial boiler based on the processed operation state parameter data; and generating a system score of the gas industrial boiler based on the health degree evaluation index, the equipment operation evaluation index, the health degree evaluation index value and the equipment operation evaluation index value so as to obtain the operation state of the gas industrial boiler. The embodiment determines that the system scoring precision of the gas industrial boiler is higher, and avoids the interference on the whole production operation.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of energy, in particular to a method and a device for acquiring the operating condition of a gas industrial boiler and electronic equipment.
Background
The operation and maintenance of most of gas industrial boilers depend on the service capability of operators, the abnormal parameter change, equipment fault diagnosis, emergency treatment measures and the like in the operation process of equipment are generally judged by the operators according to personal experience, the problem treatment is limited by personal capability, and the equipment maintenance, defect and fault treatment are not timely. The number of operation and maintenance personnel is generally more tense, and the operation and maintenance personnel have different service levels, so that preventive maintenance work is less, and more of the operation and maintenance personnel find professional manufacturers to repair after problems occur. Non-preventive maintenance has certain influence on the operation efficiency of the system, and the service life of the system is also shortened.
Conventional predictive maintenance methods are numerous and are continually in progress, and may be classified according to the physical characteristics of the device status signals as follows: vibration, temperature, acoustics, contamination, intensity, optical, pressure, and electrical parameters, among others. At present, when predictive maintenance of the gas industrial boiler is carried out, not only are a plurality of parameters required, but also field workers need to carry out complicated work such as measurement on different physical parameters at any time, the accuracy of measured values is not high, and the predictive maintenance effect of the gas industrial boiler is poor.
With the rise of industrial internet, more and more industrial systems can realize on-line monitoring and fault early warning, and play a role in ensuring the safe operation of equipment. At present, the fault early warning algorithm of the equipment is applied more, namely, the early warning is sent out before the equipment breaks down, and related personnel are reminded to overhaul the equipment. However, it is not worth noting that all the equipment reaches or is about to reach a fault, efficiency is reduced when the equipment reaches a sub-health state, or improper operation of operation and maintenance personnel affects the overall operation of the system. Therefore, the overall operation condition of the system needs to be acquired, the problem needs to be found timely, and the possibility of equipment failure is reduced.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a method and an apparatus for acquiring an operating condition of a gas industrial boiler, and an electronic device, so as to solve the problem in the prior art of how to accurately perform system scoring on the gas industrial boiler to acquire an operating state of the gas industrial boiler, so as to maintain the gas industrial boiler in time.
In a first aspect of the disclosed embodiments, a method for obtaining an operating condition of a gas industrial boiler is provided, including: acquiring preset health degree evaluation indexes, equipment operation evaluation indexes, start-up and shut-down states and operation state parameter data of the gas industrial boiler in the process of change of the start-up and shut-down states; performing data processing on the operating state parameter data to obtain processed operating state parameter data; calculating a health degree evaluation index value and an equipment operation evaluation index value of the gas industrial boiler based on the processed operation state parameter data; and generating a system score of the gas industrial boiler based on the health degree evaluation index, the equipment operation evaluation index, the health degree evaluation index value and the equipment operation evaluation index value so as to acquire the operation state of the gas industrial boiler.
In a second aspect of the disclosed embodiments, there is provided an operation status acquiring device of a gas industrial boiler, the device including: the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is configured to acquire a preset health degree evaluation index, an equipment operation evaluation index, a start-up and shut-down state and operation state parameter data of a gas industrial boiler in the process of change of the start-up and shut-down state; the processing unit is configured to perform data processing on the operation state parameter data to obtain processed operation state parameter data; a calculation unit configured to calculate a health degree evaluation index value and an equipment operation evaluation index value of the gas industrial boiler based on the processed operation state parameter data; a generating unit configured to generate a system score of the gas industrial boiler based on the health degree evaluation index, the plant operation evaluation index, the health degree evaluation index value, and the plant operation evaluation index value to acquire an operation state of the gas industrial boiler.
In a third aspect of the embodiments of the present disclosure, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor, implements the steps of the above-mentioned method.
One of the above-described various embodiments of the present disclosure has the following advantageous effects: firstly, acquiring preset health degree evaluation indexes, equipment operation evaluation indexes, start-up and shut-down states and operation state parameter data of a gas industrial boiler in the process of change of the start-up and shut-down states; then, carrying out data processing on the operation state parameter data to obtain processed operation state parameter data; then, based on the processed operation state parameter data, calculating a health degree evaluation index value and an equipment operation evaluation index value of the gas industrial boiler; and finally, generating a system score of the gas industrial boiler based on the health degree evaluation index, the equipment operation evaluation index, the health degree evaluation index value and the equipment operation evaluation index value so as to acquire the operation state of the gas industrial boiler. The method provided by the embodiment obtains the health degree evaluation index value and the equipment operation evaluation index value based on the implementation operation data of the gas industrial boiler, so that the system scoring precision of the gas industrial boiler is determined to be high, and the interference to the whole production operation is avoided. The generated system score is helpful for maintenance personnel to know the running state of the gas industrial boiler, the maintenance work is planned in advance, convenience is provided for the maintenance personnel to the maintenance work of the gas industrial boiler, the influence of performance attenuation on the gas industrial boiler is reduced to the minimum, the normal running of the gas industrial boiler is kept, and the phenomenon that equipment is damaged due to untimely maintenance or the cost is increased due to excessive maintenance is avoided.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
FIG. 1 is a schematic illustration of one application scenario of a method of operating condition acquisition of a gas industrial boiler, according to some embodiments of the present disclosure;
FIG. 2 is a schematic flow diagram of some embodiments of a method of operating condition acquisition of a gas industrial boiler according to the present disclosure;
FIG. 3 is a schematic structural diagram of some embodiments of an operating condition obtaining apparatus of a gas industrial boiler according to the present disclosure;
FIG. 4 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
An operation condition acquisition method, an operation condition acquisition device and an electronic device of a gas industrial boiler according to embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of one application scenario of a method of acquiring operating conditions of a gas industrial boiler according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may obtain a preset health degree evaluation index 102, a device operation evaluation index 103, an on-off state 104, and operation state parameter data 105 of the gas industrial boiler during the on-off state change. Then, the computing device 101 may perform data processing on the operating state parameter data 105, as indicated by reference numeral 106, to obtain processed operating state parameter data 107. Thereafter, the calculation device 101 may calculate the health degree evaluation index value 108 and the plant operation evaluation index value 109 of the gas industrial boiler based on the operation state parameter data 107 on which the above-described processing is completed. Finally, a system score 110 of the gas industrial boiler is generated based on the health degree evaluation index 102, the plant operation evaluation index 103, the health degree evaluation index value 108, and the plant operation evaluation index value 109, so as to obtain the operation state of the gas industrial boiler.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
Fig. 2 is a schematic flow chart of a method for acquiring an operating condition of a gas industrial boiler according to an embodiment of the present disclosure. The operational condition acquisition method of the gas industrial boiler of fig. 2 may be performed by the computing device 101 of fig. 1.
As shown in fig. 2, the method for acquiring the operating condition of the gas industrial boiler comprises the following steps:
step S201, acquiring preset health degree evaluation indexes, equipment operation evaluation indexes, start-up and shut-down states and operation state parameter data of the gas industrial boiler in the process of change of the start-up and shut-down states.
In some embodiments, the executing body (for example, the computing device 101 shown in fig. 1) of the operation condition acquiring method of the gas industrial boiler may acquire the health degree evaluation index, the device operation evaluation index, the on-off state and the operation state parameter data of the gas industrial boiler during the change of the on-off state through a wired connection manner or a wireless connection manner. Here, the operating state parameter data includes at least smoke flow data, gas flow data, and steam flow data.
It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future.
In some optional implementation manners of some embodiments, the method may not need to manually control the gas flow of the gas-fired boiler, and the generated steam flow is observed after the gas-fired boiler operates for a period of time and is stable, so that the problem of data abnormality caused by changes of an external operating environment and equipment aging can be avoided.
In some optional implementations of some embodiments, the health evaluation index at least includes: the method comprises the following steps of feeding water pH value, feeding water conductivity, feeding water dissolved oxygen content, feeding water hardness, feeding water phosphate radical content, feeding water full alkalinity, feeding water chloride ion content, boiler water pH value, alarm times in an examination period, smoke dust content, smoke sulfur dioxide content, smoke nitrogen oxide content, boiler heating surface smoke side inspection/cleaning remaining time, boiler heating surface water side inspection/cleaning remaining time, safety valve annual inspection remaining time, pressure gauge annual inspection remaining time, boiler scheduled inspection remaining time, boiler maintenance remaining time, pollution discharge rate, water-steam ratio, water-medicine ratio and instrument failure rate.
In some optional implementations of some embodiments, the device operation evaluation index at least includes: average unit heat supply energy consumption, change rate, average unit heat supply fuel consumption change rate, average unit heat supply power consumption, average unit hot water supply consumption, average boiler thermal efficiency, average load rate, exhaust gas temperature, air excess coefficient, ash carbon content, flue gas oxygen content and flue gas carbon monoxide content.
Step S202, the operation state parameter data is processed to obtain the processed operation state parameter data.
In some embodiments, the execution main body may perform data processing on the operation state parameter data to obtain processed operation state parameter data. Here, the data processing at least includes: data cleaning processing, data delay processing and data standardization processing.
In some optional implementations of some embodiments, the data cleansing process includes: the execution main body can remove abnormal data in the running state parameter data; secondly, the execution main body can interpolate lost running state parameter data in the running state parameter data; thirdly, the execution main body can remove the operation state parameter data generated after the gas industrial boiler is shut down from the operation state parameter data; and fourthly, the execution main body can remove the operating state parameter data generated in a preset time period after the gas industrial boiler is started from the operating state parameter data. As an example, the preset time period may be "ten minutes".
In some optional implementation manners of some embodiments, the data that the operation state parameter data may interfere with the health evaluation in the acquisition process mainly comes from data mixed outside the operation state, the data loss state, or the on-off state of the equipment, so that the cleaning processing of the gas flow data and the main steam flow data can ensure that the acquired data are accurate enough, thereby improving the accuracy of the evaluation result. The efficiency of the gas industrial boiler cannot be accurately reflected by the parameter data of the gas industrial boiler after the gas industrial boiler is shut down, the parameter data generated after the gas industrial boiler is shut down is unstable, and the running state parameter data generated after the gas industrial boiler is shut down needs to be removed in order to avoid the interference of the part of parameter data on the generation of health evaluation information. Because the gas industrial boiler is not stable in operation and the gas flow and the steam flow are not stable in the initial starting time period in the starting state, the gas industrial boiler cannot cause substantial change of the steam during the period. The change of the steam flow may receive images of other external factors, so that the running state parameter data generated in the preset time period after the startup is removed, and the interference of the parameter data of the time period on the generated health evaluation information can be avoided. In step S201, the on-off state of the gas industrial boiler is obtained, so that data in the off state can be accurately determined, and the operating state parameter data generated after the gas industrial boiler is turned off and the operating state parameter data generated in the preset time period after the gas industrial boiler is turned on are removed.
In some alternative implementations of some embodiments, a delay is required due to the physical delay from combustion of the gas to the change in steam flow. The data delay processing includes: the execution main body can obtain historical operation data; and secondly, the execution subject can acquire sample data from the historical operating data, wherein the sample data comprises data of operating state parameters changing along with time in the process from gas combustion to steam flow starting to change. (ii) a Thirdly, based on the sample data, the execution main body can select the time when the gas flow starts to change as the delay starting time point, and can select the time when the steam flow changes and exceeds a preset change threshold value as the delay ending time point; a fourth step in which the execution body determines a time difference between the delay start time point and the delay end time point as a delay time; the fifth step, based on the delay time, the execution body may perform data delay processing on the operation state parameter data.
In some alternative implementations of some embodiments, the data normalization process (normalization) is to scale the data to fall within a small specific interval. In some index processing for comparison and evaluation, unit limitation of data is removed and converted into a dimensionless pure numerical value, so that indexes of different units or orders can be compared and weighted conveniently.
And a step S203 of calculating the health degree evaluation index value and the equipment operation evaluation index value of the gas industrial boiler based on the processed operation state parameter data.
In some embodiments, the executing agent may input the processed operating state parameter data into a pre-trained thermodynamic model of the gas industrial boiler system to obtain the health evaluation index value and the equipment operation evaluation index value. Here, the health degree evaluation index value and the plant operation evaluation index value are obtained by processing raw data collected by a sensor installed in the gas industrial boiler by a formula included in the gas industrial boiler system thermodynamic model.
And step S204, generating a system score of the gas industrial boiler based on the health degree evaluation index, the equipment operation evaluation index, the health degree evaluation index value and the equipment operation evaluation index value so as to acquire the operation state of the gas industrial boiler.
In some embodiments, the executing entity may perform interval division on the health degree evaluation index to obtain a health degree evaluation index interval set. Then, the execution main body may perform interval division on the device operation evaluation index to obtain a device operation evaluation index interval set. Here, the section division may be a division method of equally dividing the section into a preset number of sections, and each section after the section division includes a threshold value of the section and a corresponding system score. Then, the executing agent may generate a system score of the gas industrial boiler based on the health degree evaluation index value and the plant operation evaluation index value to acquire an operation state of the gas industrial boiler.
As an example, the executing subject may divide the health degree evaluation index "100" into 5 sections, where each section includes a threshold and a corresponding system score, resulting in a health degree evaluation index section set "[ 0, 20) -1 score; [20, 40) -2 min; [40, 60) -3 points; [60, 80) -4 min; [80, 100] -5 points. The execution main body can divide the equipment operation evaluation index ' 50 ' into 5 intervals to obtain an equipment operation evaluation index interval set ' [0, 10) -1; [10, 20) -2 min; [20, 30) -3 points; [30, 40) -4 min; [40, 50] -5 points ". If the health degree evaluation index value is 3, and the equipment operation evaluation index value is also 3, the executing body may calculate and determine that the highest sum of the system scores corresponding to the evaluation index values is "30 points". The health degree evaluation index value may be "77, 89, 65", the plant operation evaluation index value may be "42, 38, 32", and the executing body may add the system scores corresponding to the health degree evaluation index values, and add the plant operation evaluation index values to obtain a score sum "26" as the system score of the gas industrial boiler.
In some optional implementations of some embodiments, the method further comprises: the execution subject may obtain at least one preset percentage value; the execution main body can generate evaluation conclusion information and operation suggestion information of the industrial boiler based on the system score and the at least one preset qualified percentage value; the execution main body may transmit the evaluation conclusion information and the operation suggestion information to a target device having a display function; the execution main body may control the target device to display the evaluation conclusion information and the operation opinion information. Here, the evaluation conclusion information may be analysis result information for analyzing the system score for characterizing the operation state of the gas industrial boiler described above. The operation advice information may be advice information for prompting maintenance personnel. As an example, the execution subject may obtain at least one preset percent-qualified value of "60% -not-qualified; 60% -80% -qualified; 80% -100% -healthy ", the executive body can determine that the system score of the gas industrial boiler accounts for" 86.67% "of the highest sum based on the system score. The execution subject may generate evaluation conclusion information "the current operation state of the gas industrial boiler meets the standard". The execution body may generate operation advice information "the gas industrial boiler does not need maintenance at present".
It should be noted that, in the present embodiment, the system scoring method for a gas industrial boiler is described by taking a gas industrial boiler as an example, and based on the concept of the present disclosure, the method is used for understanding the energy efficiency of an oil-fired steam boiler/gas-fired hot water boiler/oil-fired hot water boiler and other devices, and should be regarded as the protection scope of the present disclosure. The difference is only that the fuel gas flow and the steam flow are respectively and correspondingly replaced by the fuel oil flow and the steam flow/the fuel gas flow and the hot water flow/the fuel oil flow and the hot water flow, and a person skilled in the art can apply the method disclosed by the embodiment of the disclosure to know the energy efficiency of equipment such as a fuel oil steam boiler/a fuel gas hot water boiler/a fuel oil hot water boiler without creative work.
One of the above-described various embodiments of the present disclosure has the following advantageous effects: firstly, acquiring preset health degree evaluation indexes, equipment operation evaluation indexes, start-up and shut-down states and operation state parameter data of a gas industrial boiler in the process of change of the start-up and shut-down states; then, carrying out data processing on the operation state parameter data to obtain processed operation state parameter data; then, based on the processed operation state parameter data, calculating a health degree evaluation index value and an equipment operation evaluation index value of the gas industrial boiler; and finally, generating a system score of the gas industrial boiler based on the health degree evaluation index, the equipment operation evaluation index, the health degree evaluation index value and the equipment operation evaluation index value so as to acquire the operation state of the gas industrial boiler. The method provided by the embodiment obtains the health degree evaluation index value and the equipment operation evaluation index value based on the implementation operation data of the gas industrial boiler, so that the system scoring precision of the gas industrial boiler is determined to be high, and the interference to the whole production operation is avoided. The generated system score is helpful for maintenance personnel to know the running state of the gas industrial boiler, the maintenance work is planned in advance, convenience is provided for the maintenance personnel to the maintenance work of the gas industrial boiler, the influence of performance attenuation on the gas industrial boiler is reduced to the minimum, the normal running of the gas industrial boiler is kept, and the phenomenon that equipment is damaged due to untimely maintenance or the cost is increased due to excessive maintenance is avoided.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 3 is a schematic view of an operation condition acquisition device of a gas industrial boiler provided by the embodiment of the present disclosure. As shown in fig. 3, the operation condition acquiring apparatus 300 of the gas industrial boiler includes: an acquisition unit 301, a processing unit 302, a calculation unit 303, and a generation unit 304. The acquiring unit 301 is configured to acquire a preset health degree evaluation index, an equipment operation evaluation index, a start-up and shut-down state and operation state parameter data of the gas industrial boiler in the process of change of the start-up and shut-down state; a processing unit 302 configured to perform data processing on the operation state parameter data to obtain processed operation state parameter data; a calculation unit 303 configured to calculate a health degree evaluation index value and an equipment operation evaluation index value of the gas industrial boiler based on the processed operation state parameter data; a generating unit 304 configured to generate a system score of the gas industrial boiler based on the health degree evaluation index, the plant operation evaluation index, the health degree evaluation index value, and the plant operation evaluation index value to acquire an operation state of the gas industrial boiler.
In some optional implementations of some embodiments, the health evaluation index at least includes: the method comprises the following steps of feeding water pH value, feeding water conductivity, feeding water dissolved oxygen content, feeding water hardness, feeding water phosphate radical content, feeding water full alkalinity, feeding water chloride ion content, boiler water pH value, alarm times in an examination period, smoke dust content, smoke sulfur dioxide content, smoke nitrogen oxide content, boiler heating surface smoke side inspection/cleaning remaining time, boiler heating surface water side inspection/cleaning remaining time, safety valve annual inspection remaining time, pressure gauge annual inspection remaining time, boiler scheduled inspection remaining time, boiler maintenance remaining time, pollution discharge rate, water-steam ratio, water-medicine ratio and instrument failure rate.
In some optional implementations of some embodiments, the device operation evaluation index at least includes: average unit heat supply energy consumption, change rate, average unit heat supply fuel consumption change rate, average unit heat supply power consumption, average unit hot water supply consumption, average boiler thermal efficiency, average load rate, exhaust gas temperature, air excess coefficient, ash carbon content, flue gas oxygen content and flue gas carbon monoxide content.
In some optional implementations of some embodiments, the data processing at least includes: data cleaning processing, data delay processing and data standardization processing.
In some optional implementations of some embodiments, the data cleansing process includes: eliminating abnormal data in the running state parameter data; interpolating the lost operation state parameter data in the operation state parameter data; removing the operating state parameter data generated after the gas industrial boiler is shut down from the operating state parameter data; and eliminating the operating state parameter data generated in a preset time period after the gas industrial boiler is started in the operating state parameter data.
In some optional implementations of some embodiments, the generating unit 304 of the operating condition obtaining apparatus 300 of the gas industrial boiler is further configured to: carrying out interval division on the health degree evaluation indexes to obtain a health degree evaluation index interval set; dividing the equipment operation evaluation index into intervals to obtain an equipment operation evaluation index interval set; and generating a system score of the gas industrial boiler based on the health degree evaluation index value, the equipment operation evaluation index value, the health degree evaluation index section set and the equipment operation evaluation index section set so as to acquire the operation state of the gas industrial boiler.
In some optional implementations of some embodiments, the operation condition acquiring device 300 of the gas industrial boiler is further configured to: obtaining at least one preset qualified percentage value; generating evaluation conclusion information and operation suggestion information of the gas industrial boiler based on the system score and the at least one preset qualified percentage value; transmitting the evaluation conclusion information and the operation suggestion information to target equipment with a display function; and controlling the target equipment to display the evaluation conclusion information and the operation opinion information.
It will be understood that the units described in the apparatus 300 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 300 and the units included therein, and are not described herein again.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
FIG. 4 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure. On the hardware level, the electronic device comprises a processor and optionally an internal bus, a network interface and a memory. The memory may include a memory, such as a Random-access memory (RAM), and may further include a non-volatile memory (e.g., at least 1 disk memory). Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry standard architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry standard architecture) bus, or the like. The above-mentioned bus may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code including computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
In a possible implementation manner, the processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program, and the corresponding computer program can also be obtained from other equipment so as to form the scoring device of the gas industrial boiler equipment system on a logic level. And the processor executes the program stored in the memory so as to realize the operation condition acquisition method of the gas industrial boiler provided by any embodiment of the disclosure through the executed program.
The method executed by the scoring device of the gas industrial boiler equipment system provided by the embodiment of fig. 2 in the present disclosure can be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The processor may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present disclosure may be implemented or performed. A general purpose processor may be a microprocessor or any conventional processor or the like.
The steps of the method disclosed in connection with the embodiments of the present disclosure may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The disclosed embodiments also propose a computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device comprising a plurality of application programs, are capable of causing the electronic device to perform the method for obtaining an operating condition of a gas industrial boiler provided in any one of the disclosed embodiments.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units or modules by function, respectively. Of course, the functionality of the various elements or modules may be implemented in the same one or more software and/or hardware implementations of the present disclosure.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, 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 specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the same element.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The disclosure may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The disclosure may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the disclosure are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present disclosure, and is not intended to limit the present disclosure. Various modifications and variations of this disclosure will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure should be included in the scope of the claims of the present disclosure.
Claims (10)
1. A method for acquiring the operating condition of a gas industrial boiler is characterized by comprising the following steps:
acquiring preset health degree evaluation indexes, equipment operation evaluation indexes, start-up and shut-down states and operation state parameter data of the gas industrial boiler in the process of change of the start-up and shut-down states;
performing data processing on the operating state parameter data to obtain processed operating state parameter data;
calculating a health degree evaluation index value and an equipment operation evaluation index value of the gas industrial boiler based on the processed operation state parameter data;
and generating a system score of the gas industrial boiler based on the health degree evaluation index, the equipment operation evaluation index, the health degree evaluation index value and the equipment operation evaluation index value so as to obtain the operation state of the gas industrial boiler.
2. The method according to claim 1, wherein the health evaluation index includes at least: the method comprises the following steps of feeding water pH value, feeding water conductivity, feeding water dissolved oxygen content, feeding water hardness, feeding water phosphate radical content, feeding water full alkalinity, feeding water chloride ion content, boiler water pH value, alarm times in an examination period, smoke dust content, smoke sulfur dioxide content, smoke nitrogen oxide content, boiler heating surface smoke side inspection/cleaning remaining time, boiler heating surface water side inspection/cleaning remaining time, safety valve annual inspection remaining time, pressure gauge annual inspection remaining time, boiler scheduled inspection remaining time, boiler maintenance remaining time, pollution discharge rate, water-steam ratio, water-medicine ratio and instrument failure rate.
3. The method of claim 1, wherein the plant operation evaluation index comprises at least: average unit heat supply energy consumption, change rate, average unit heat supply fuel consumption change rate, average unit heat supply power consumption, average unit hot water supply consumption, average boiler thermal efficiency, average load rate, exhaust gas temperature, air excess coefficient, ash carbon content, flue gas oxygen content and flue gas carbon monoxide content.
4. The method according to claim 1, characterized in that said data processing comprises at least: data cleaning processing, data delay processing and data standardization processing.
5. The method of claim 4, wherein the data cleansing process comprises:
eliminating abnormal data in the running state parameter data;
interpolating the lost operation state parameter data in the operation state parameter data;
removing the operating state parameter data generated after the gas industrial boiler is shut down from the operating state parameter data;
and eliminating the operating state parameter data generated in a preset time period after the gas industrial boiler is started in the operating state parameter data.
6. The method of claim 1, wherein generating a system score for the gas industrial boiler based on the health evaluation index, the plant operation evaluation index, the health evaluation index value, and the plant operation evaluation index value to obtain the operating status of the gas industrial boiler comprises:
carrying out interval division on the health degree evaluation indexes to obtain a health degree evaluation index interval set;
dividing the equipment operation evaluation index into intervals to obtain an equipment operation evaluation index interval set;
and generating a system score of the gas industrial boiler based on the health degree evaluation index value, the equipment operation evaluation index value, the health degree evaluation index interval set and the equipment operation evaluation index interval set so as to obtain the operation state of the gas industrial boiler.
7. The method according to any one of claims 1 to 6, further comprising:
obtaining at least one preset qualified percentage value;
generating evaluation conclusion information and operation suggestion information of the gas industrial boiler based on the system score and the at least one preset qualified percentage value;
transmitting the evaluation conclusion information and the operation suggestion information to target equipment with a display function;
and controlling the target equipment to display the evaluation conclusion information and the operation opinion information.
8. An operation condition acquisition device of a gas industrial boiler, characterized by comprising:
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is configured to acquire a preset health degree evaluation index, an equipment operation evaluation index, a start-up and shut-down state and operation state parameter data of a gas industrial boiler in the process of change of the start-up and shut-down state;
the processing unit is configured to perform data processing on the operation state parameter data to obtain processed operation state parameter data;
a calculation unit configured to calculate a health degree evaluation index value and an equipment operation evaluation index value of the gas industrial boiler based on the processed operation state parameter data;
a generating unit configured to generate a system score of the gas industrial boiler based on the health degree evaluation index, the plant operation evaluation index, the health degree evaluation index value, and the plant operation evaluation index value to acquire an operation state of the gas industrial boiler.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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| CN202111250345.9A CN113971522A (en) | 2021-10-26 | 2021-10-26 | Method and device for acquiring operating conditions of industrial gas boiler and electronic equipment |
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| CN202111250345.9A CN113971522A (en) | 2021-10-26 | 2021-10-26 | Method and device for acquiring operating conditions of industrial gas boiler and electronic equipment |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114694275A (en) * | 2022-03-24 | 2022-07-01 | 浙江中智达科技有限公司 | Method, device and medium for determining running state of ammonia refrigerator device |
| CN116957543A (en) * | 2023-09-19 | 2023-10-27 | 成都秦川物联网科技股份有限公司 | Intelligent gas equipment management method based on big data and Internet of things system |
| CN117808626A (en) * | 2023-12-21 | 2024-04-02 | 北京英视睿达科技股份有限公司 | Method, device, equipment and medium for monitoring load running state of coal-fired power plant |
| CN118195594A (en) * | 2024-05-17 | 2024-06-14 | 成都秦川物联网科技股份有限公司 | Intelligent gas pipe network auxiliary structure safety maintenance and management method and Internet of things system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114694275A (en) * | 2022-03-24 | 2022-07-01 | 浙江中智达科技有限公司 | Method, device and medium for determining running state of ammonia refrigerator device |
| CN116957543A (en) * | 2023-09-19 | 2023-10-27 | 成都秦川物联网科技股份有限公司 | Intelligent gas equipment management method based on big data and Internet of things system |
| CN116957543B (en) * | 2023-09-19 | 2023-12-22 | 成都秦川物联网科技股份有限公司 | Intelligent gas equipment management method based on big data and Internet of things system |
| CN117808626A (en) * | 2023-12-21 | 2024-04-02 | 北京英视睿达科技股份有限公司 | Method, device, equipment and medium for monitoring load running state of coal-fired power plant |
| CN117808626B (en) * | 2023-12-21 | 2024-06-04 | 北京英视睿达科技股份有限公司 | Method, device, equipment and medium for monitoring load running state of coal-fired power plant |
| CN118195594A (en) * | 2024-05-17 | 2024-06-14 | 成都秦川物联网科技股份有限公司 | Intelligent gas pipe network auxiliary structure safety maintenance and management method and Internet of things system |
| CN118195594B (en) * | 2024-05-17 | 2024-07-19 | 成都秦川物联网科技股份有限公司 | Intelligent gas pipe network auxiliary structure safety maintenance and management method and Internet of things system |
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