CN111001275A - Data processing method and device for waste gas treatment system and storable medium - Google Patents
Data processing method and device for waste gas treatment system and storable medium Download PDFInfo
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Abstract
The invention discloses a data processing method and device of an exhaust gas treatment system, a processor and a storage medium. Wherein, the method comprises the following steps: receiving measurement data, the measurement data including a plurality of sensor data transmitted by a plurality of sensors previously provided in the exhaust gas treatment system; respectively determining a plurality of similarity values between the measured data and a plurality of groups of reference parameters through a preset data analysis model, wherein each group of reference parameters corresponds to a preset abnormal reason of the exhaust gas treatment system; comparing the plurality of similarity values with predetermined threshold values, respectively; and sending abnormal state information when the similarity value smaller than the threshold exists in the plurality of similarity values. The invention solves the technical problem of finding out abnormal reasons in the waste gas treatment system in time.
Description
Technical Field
The invention relates to the field of environmental protection, in particular to a data processing method and device for an exhaust gas treatment system and a storage medium.
Background
The waste gas treating apparatus is one environment protecting apparatus for protecting environment and purifying air via recovering or eliminating harmful components from exhausted tail gas. The waste gas treatment equipment is a variety of waste gas treatment equipment aiming at industry and a kitchen, wherein kitchen waste gas of families, hotels, restaurants and the like accounts for a large part, the waste gas emitted from the kitchen contains coal waste gas and oil smoke smell, and the main components of the coal waste gas are carbon monoxide and sulfur dioxide, so that the coal waste gas is harmful to human bodies. A study conducted in 2012 by the wangsi institute of atmospheric physics of the chinese academy of sciences found that 15% to 20% of PM2.5 particulate pollutants in beijing city center come from kitchen exhaust in the summer of 2012. This makes kitchen exhaust a third largest source of air pollution following vehicle emissions and pollutants drifting from surrounding areas. Therefore, the effective treatment of the kitchen waste gas has great significance for environmental improvement and treatment; the existing waste gas treatment equipment does not monitor the treated gas, and when the waste gas treatment equipment cannot effectively filter harmful gas in the waste gas, no alarm and measure are provided, so that the treated gas of the waste gas treatment equipment does not reach the standard. Problems with exhaust treatment systems cannot be detected in a timely manner.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a data processing method, a data processing device, a processor and a storage medium of an exhaust gas treatment system, which are used for at least solving the technical problem of timely finding out abnormal reasons in the exhaust gas treatment system.
According to an aspect of an embodiment of the present invention, there is provided an exhaust gas treatment system data processing method including: receiving measurement data, the measurement data including a plurality of sensor data transmitted by a plurality of sensors previously provided in the exhaust gas treatment system; respectively determining a plurality of similarity values between the measured data and a plurality of groups of reference parameters related to the abnormity of the exhaust gas treatment system through a preset data analysis model, wherein each group of reference parameters corresponds to a preset abnormity reason; comparing the plurality of similarity values with predetermined threshold values, respectively; and sending abnormal state information when the similarity value smaller than the threshold exists in the plurality of similarity values.
Optionally, in the method, the operation of determining, through a preset data analysis model, a plurality of similarity values between the measured data and the plurality of sets of reference parameters respectively includes: calculating similarity values between the measured data and sets of reference parameters by the following formula:
wherein SmRepresenting the similarity value, ω, corresponding to the mth set of reference parameters, obtained by matching the ith measurement data with the mth set of reference parametersiI-th said sensor data, mu, corresponding to the measured datamiAn ith reference parameter representing an mth set of reference parameters.
Optionally, in the method, the operation of sending the abnormal state information includes: determining a minimum similarity value from the plurality of similarity values; acquiring a reference parameter corresponding to the minimum similarity value; determining the abnormal reason according to the acquired reference parameters; and transmitting the cause of the abnormality as abnormal state information.
Optionally, in the method, the operation of sending the abnormal state information includes: determining a predetermined number of similarity values having a minimum similarity value from the plurality of similarity values; acquiring a plurality of groups of reference parameters respectively corresponding to the similarity values of a preset number; respectively acquiring abnormal reasons corresponding to the corresponding multiple groups of reference parameters; and selecting the most number of the acquired abnormal reasons as abnormal state information to be sent.
Optionally, the operation of receiving measurement data in the above method includes receiving the plurality of sensor data from: particle sensors, carbon monoxide sensors, sulfur dioxide sensors, and flow rate sensors.
A second aspect of the present application provides an exhaust treatment system data processing apparatus, comprising: a data receiving module for receiving measurement data including a plurality of sensor data transmitted by a plurality of sensors previously provided in the exhaust gas treatment system; the data processing module is used for respectively determining a plurality of similarity values between the measured data and a plurality of groups of reference parameters through a preset data analysis model, wherein each group of reference parameters corresponds to a preset abnormal reason of the exhaust gas treatment system; the comparison module is used for comparing the similarity values with a preset threshold value respectively; and the sending module is used for sending the abnormal state information under the condition that the similarity value smaller than the threshold exists in the similarity values.
Optionally, in the above apparatus, the data processing module includes: calculating similarity values between the measured data and the sets of reference parameters by the following formula:
wherein SmRepresenting the similarity value, ω, corresponding to the mth set of reference parameters, obtained by matching the ith measurement data with the mth set of reference parametersiI-th said sensor data, mu, corresponding to the measured datamiAn ith reference parameter representing an mth set of parametric state information.
Optionally, in the above apparatus, the sending module includes: a first determination unit configured to determine a minimum similarity value from the plurality of similarity values; an obtaining unit, configured to obtain a reference parameter corresponding to the minimum similarity value; the second determining unit is used for determining the abnormal reason according to the acquired reference parameters; and a transmission unit configured to transmit the cause of the abnormality as the abnormal state information.
A third aspect of the present application provides a storage medium comprising a stored program, wherein the processor executes the exhaust gas treatment system data processing method of any one of the above when the program is executed.
A fourth aspect of the application provides a processor for executing a program, wherein the program when executed performs the exhaust gas treatment system data processing method of any one of the above.
By the above method, the operating state of the exhaust gas treatment system is monitored by a plurality of sensors, measurement data is generated, and the measurement data is transmitted to the server. The server receives the measurement data sent by the sensors, processes the received measurement data through a preset data analysis model, and determines similarity values between the measurement data and multiple sets of reference parameters related to the abnormity of the exhaust gas treatment system. Then, the server compares the obtained plurality of similarity values with predetermined threshold values, respectively. When the similarity value is smaller than the threshold value, it indicates that the measured data measured by the sensor is abnormal, that is, the processed gas in the exhaust gas treatment system is abnormal, and the server sends out abnormal state information. The prior art exhaust treatment systems only have the function of treating exhaust gas, but lack monitoring of the treated exhaust gas. The method monitors the parameters of the gas processed by the processing chambers by installing different sensors on pipelines among the processing chambers, matches the measured sensor data with multiple groups of reference parameters (each group of reference parameters in the multiple groups of reference parameters corresponds to a preset abnormal reason), and judges whether the matching result of each parameter is smaller than a preset threshold value. By the method, the gas treated by each treatment chamber is monitored, the quality of the treated waste gas is ensured, and the discharged gas is ensured to meet the standard; meanwhile, the exhaust gas treatment system is also monitored, and when abnormality occurs, maintenance personnel can immediately make a maintenance scheme according to the reason of the abnormality so as to solve the problem more quickly.
According to the device, the sensor measures data and sends the measured data to the server, the server receives the measured data sent by the sensors, the received measured data are processed through a preset data analysis model, the similarity value between the measured data and a plurality of groups of reference parameters related to the abnormity of the exhaust gas treatment system is determined, the obtained similarity values are respectively compared with a preset threshold value, when the similarity value is smaller than the threshold value, the measured data measured by the sensor is abnormal, one index of the gas treated in the exhaust gas treatment system is abnormal, and the server sends abnormal state information. The waste gas treatment system in the prior art only has the function of treating waste gas, but the treated waste gas is lack of monitoring, whether the treated gas in the treatment chambers reaches the standard or not is monitored by installing different sensors in pipelines among the treatment chambers, and if a certain index in the treated gas is unqualified, the server sends abnormal information; meanwhile, the waste gas treatment system is also monitored, and when abnormality occurs, maintenance personnel can immediately make a maintenance scheme according to the reason of the abnormality so as to solve the problem more quickly; and then the technical problem of discovering abnormal reasons in the waste gas treatment system in time is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1: is a hardware structure block diagram of a computer terminal (or mobile device) for realizing the data processing method of the waste gas treatment system;
FIG. 2: is a block diagram of an exhaust gas treatment system for implementing the present embodiment;
FIG. 3: is a flow chart of a data processing method of an exhaust gas treatment system according to a first embodiment of the invention;
FIG. 4: a block diagram of an exhaust treatment system data processing device according to an embodiment of the present invention;
FIG. 5: is a block diagram of a computer terminal according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
First, some terms or terms appearing in the description of the embodiments of the present application are applicable to the following explanations:
example 1
It should be noted that, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than that shown.
The method provided by the embodiment 1 of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Fig. 1 shows a hardware structure block diagram of a computer terminal (or mobile device) for implementing a data processing method of an oil-water separation system. As shown in fig. 1, the computer terminal 10 (or mobile device 10) may include one or more (shown as 102a, 102b, … …, 102 n) processors 102 (the processors 102 may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission device 106 for communication functions. Besides, the method can also comprise the following steps: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, the computer terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
It should be noted that the one or more processors 102 and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuit may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computer terminal 10 (or mobile device). As referred to in the embodiments of the application, the data processing circuit acts as a processor control (e.g. selection of a variable resistance termination path connected to the interface).
The memory 104 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the oil-water separation system data processing method in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, implements the oil-water separation system data processing method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 can be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the computer terminal 10 (or mobile device).
Further, fig. 2 shows a frame diagram of an exhaust gas treatment system for implementing the present embodiment, wherein the exhaust gas treatment system 210 includes a first treatment chamber 211, a second treatment chamber 212, and a third treatment chamber 213 sequentially connected by a pipe 214, the first treatment chamber 211 is used for filtering particulate matter in exhaust gas, the pipe 214 between the first treatment chamber 211 and the second treatment chamber 212 is provided with a first sensor assembly 215 including: a particle sensor for measuring the content of particulate matter in the gas exhausted from the first process chamber 211; a flow rate sensor for measuring the rate of gas exiting the first process chamber 211. The second processing chamber 212 is used for filtering carbon monoxide emitted from the exhaust gas, and the pipe 214 between the second processing chamber 212 and the third processing chamber 213 is also provided with a second sensor assembly 216, which comprises: a carbon monoxide sensor for measuring the carbon monoxide content of the gas exiting the second process chamber 212; a flow rate sensor for measuring the rate of gas exiting the second process chamber 212. The third treatment chamber 213 is used for filtering sulphur dioxide in the exhaust gas, and the conduit 214 of the third treatment chamber 213 is provided with a third sensor assembly 217, which comprises: a sulfur dioxide sensor for measuring the sulfur dioxide content of the gas exiting the third process chamber 213; a flow rate sensor for measuring the rate of gas exiting the third process chamber. Each sensor in the sensor assemblies 215 to 217 sends the measurement data to the server 220, and the server 220 performs data analysis on the received measurement data through a preset data model.
Under the above operating environment, the present application provides a method for processing measurement data of an exhaust gas treatment system as shown in fig. 2, and the method is executed in the server 220 in fig. 2. Fig. 3 is a flowchart of a measurement data processing method of an exhaust gas treatment system according to a first embodiment of the present invention.
Step 310: receiving measurement data, the measurement data including a plurality of sensor data transmitted by a plurality of sensors previously provided in the exhaust gas treatment system;
step 320: respectively determining a plurality of similarity values between the measured data and a plurality of groups of reference parameters related to the abnormity of the exhaust gas treatment system through a preset data analysis model, wherein each group of reference parameters corresponds to a preset abnormity reason;
step 330: comparing the plurality of similarity values with predetermined threshold values, respectively; and
step 340: and sending abnormal state information when the similarity value smaller than the threshold exists in the plurality of similarity values.
Specifically, referring to fig. 2, through the above-described method, the operating state of the exhaust gas treatment system is monitored by a plurality of sensors, measurement data is generated, and the measurement data is transmitted to the server 220. Server 220 receives the measurement data from the plurality of sensors and processes the received measurement data through a pre-configured data analysis model to determine similarity values between the measurement data and sets of reference parameters associated with exhaust treatment system anomalies. Then, the server 220 compares the obtained plurality of similarity values with predetermined threshold values, respectively. When the similarity value is smaller than the threshold value, it indicates that the measured data measured by the sensor is abnormal, that is, the processed gas in the exhaust gas treatment system is abnormal, and the server 220 sends out abnormal state information. The prior art exhaust treatment systems only have the function of treating exhaust gas, but lack monitoring of the treated exhaust gas. The method monitors the parameters of the gas processed by the processing chambers by installing different sensors on pipelines among the processing chambers, matches the measured sensor data with multiple groups of reference parameters (each group of reference parameters in the multiple groups of reference parameters corresponds to a preset abnormal reason), and judges whether the matching result of each parameter is smaller than a preset threshold value. By the method, the gas treated by each treatment chamber is monitored, the quality of the treated waste gas is ensured, and the discharged gas is ensured to meet the standard; meanwhile, the exhaust gas treatment system is also monitored, and when abnormality occurs, maintenance personnel can immediately make a maintenance scheme according to the reason of the abnormality so as to solve the problem more quickly.
Preferably, the operation of determining a plurality of similarity values between the measured data and the plurality of sets of reference parameters respectively through a preset data analysis model includes calculating the similarity values between the measured data and the plurality of sets of reference parameters through the following formula:
wherein SmRepresenting the similarity value, ω, corresponding to the mth set of reference parameters, obtained by matching the ith measurement data with the mth set of reference parametersiI-th sensor data, mu, corresponding to the measured datamiAn ith reference parameter representing an mth set of parametric state information.
Measurement data omega1、ω2、ω3、…ωnRespectively matching with the multiple groups of reference parameters, and respectively obtaining similarity values S through the formulamTherefore, in the embodiment, the matching result between the measurement data and the multiple groups of reference parameters is obtained in a parameter matching mode, so that the result of parameter matching is more accurate. Due to the formula, the distance between the oil-water separated measurement data and the multiple sets of reference parameters is expressed by solving the sum of squares of the differences between the measurement data and the multiple sets of reference parameters. Compared with other matching modes, the matching result is more accurate.
Preferably, the operation of issuing the abnormal state information includes: determining a minimum similarity value from the plurality of similarity values; acquiring a reference parameter corresponding to the minimum similarity value; determining an abnormal reason according to the acquired reference parameters; and transmitting the cause of the abnormality as abnormal state information. And for different abnormal reasons, determining the reference parameter corresponding to the similarity value under the condition that the similarity value is smaller than the threshold value, and determining the abnormal reason so that maintenance personnel can quickly find a fault point for the exhaust gas treatment system to formulate a reasonable maintenance scheme.
TABLE 1
| Reference parameterGroup 1 | μ11 | μ12 | … | μ1n | Cause of abnormality 1 |
| Reference parameter group 2 | μ21 | μ22 | … | μ2n | Cause of abnormality 2 |
| Reference parameter group 3 | μ31 | μ32 | … | μ3n | Cause of abnormality 3 |
| … | … | … | … | … | |
| Reference parameter m group | μm1 | μm2 | … | μmn | Cause of abnormalityn |
| ... | ... | ... | ... | ... | ... |
As shown in table 1, a plurality of sets of reference parameters are preset in the server 230, wherein each set of reference parameters corresponds to different abnormal state information. For example, reference parameter set 1 includes μ11、μ12...μ1n(ii) a Reference parameter set 2 comprises mu21、μ22...μ2n(ii) a Reference parameter set 3 includes31、μ32...μ3n(ii) a By analogy, the mth group of reference parameters includes μm1、μm2...μnn(ii) a Each set of reference parameters corresponds to a different cause of the anomaly.
Measurement data omega1、ω2、ω3、…ωnRespectively matching with the multiple groups of reference parameters, and respectively obtaining similarity values S through the formulamA plurality of similarity values SmAnd comparing the measured data with a preset threshold value respectively, and when the similarity value is smaller than the threshold value, indicating that the measured data is similar to an abnormal reason corresponding to certain abnormal state information, the server 230 sends the abnormal reason corresponding to the abnormal state information to the terminal device. By the method, the abnormal reason of the oil-water separation system can be further accurately found. Provides accurate reference for maintenance personnel.
Preferably, the operation of issuing the abnormal state information includes: determining a predetermined number of similarity values having a minimum similarity value from the plurality of similarity values; acquiring a plurality of groups of reference parameters respectively corresponding to the similarity values of a preset number; respectively acquiring abnormal reasons corresponding to a plurality of groups of reference parameters; and selecting the most number of the acquired abnormal reasons as abnormal state information to be sent. In practice, several problems may occur in the exhaust gas treatment system at the same time, and for a plurality of problems, the data processing method of the present application may analyze and alarm a plurality of problems. The technical scheme is optimized, and the method is more suitable for practical application.
Preferably, the operation of receiving measurement data comprises receiving the plurality of sensor data from: particle sensors, carbon monoxide sensors, sulfur dioxide sensors, and flow rate sensors. Different sensors are used for measuring different data, and the particle sensor is used for processing the content of the particulate matters in the gas; the carbon monoxide sensor is used for measuring the content of carbon monoxide in the gas; the sulfur dioxide sensor is used for measuring the content of sulfur dioxide in the gas; the flow rate sensor is used to measure the rate of air circulation. The main pollutants of the waste gas generated in kitchens, hotels and other places are particulate matters, carbon monoxide and sulfur dioxide, and the indexes are also important parameters for measuring the running state of the waste gas treatment system, so that the sensors can be arranged to accurately acquire the parameters for reflecting the running state of the waste gas treatment system.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
There is also provided an exhaust treatment system data processing apparatus 400, according to an embodiment of the present invention; as shown in fig. 4, fig. 4 is a structural frame diagram of an exhaust gas treatment system data processing apparatus according to an embodiment of the present invention, the apparatus including:
a data receiving module 410 for receiving measurement data including a plurality of sensor data transmitted by a plurality of sensors previously provided in the exhaust gas treatment system;
a data processing module 420, configured to determine a plurality of similarity values between the measured data and a plurality of sets of reference parameters respectively through a preset data analysis model, where each set of reference parameters corresponds to a preset abnormality cause of the exhaust gas treatment system;
a comparing module 430, configured to compare the similarity values with predetermined thresholds respectively; and
a sending module 440, configured to send the abnormal state information when there is a similarity value smaller than the threshold in the multiple similarity values.
With the above arrangement, the data receiving module 410 of the server receives the measurement data sent by the sensor. The data processing module 420 processes the received measurement data via a pre-configured data analysis model to determine similarity values between the measurement data and sets of reference parameters associated with exhaust treatment system anomalies. Then, the comparing module 430 compares the obtained similarity values with predetermined thresholds, and if the similarity values are smaller than the threshold, it indicates that the measured data measured by the sensor is abnormal, and an index of the gas processed in the exhaust gas processing system is abnormal, the sending module 440 of the server sends out abnormal status information. The prior art exhaust gas treatment system has only an effect of treating exhaust gas, but for the lack of monitoring of treated exhaust gas, the present application monitors parameters of treated gas in the treatment chambers by installing different sensors in pipes between the respective treatment chambers, matches measured sensor data with a plurality of sets of reference parameters (each set of reference parameters in the plurality of sets of reference parameters corresponds to a preset abnormality cause), and determines whether the result of matching the respective parameters is less than a predetermined threshold value. By the method, the gas treated by each treatment chamber is monitored, the quality of the treated waste gas is ensured, and the discharged gas is ensured to meet the standard; meanwhile, the exhaust gas treatment system is also monitored, and when abnormality occurs, maintenance personnel can immediately make a maintenance scheme according to the reason of the abnormality so as to solve the problem more quickly.
Preferably, the data processing module comprises: calculating similarity values between the measured data and sets of reference parameters by the following formula:
wherein SmRepresenting the similarity value, ω, obtained by matching the measured data with the mth set of reference parametersiI th said sensor data, mu, representing said measurement datamiAn ith reference parameter representing an mth set of reference parameters.
Preferably, the sending module 440 includes a determining unit for determining a minimum similarity value from a plurality of similarity values; an obtaining unit, configured to obtain a reference parameter corresponding to the minimum similarity value; the determining unit is used for determining an abnormal reason according to the acquired reference parameters; and a transmission unit configured to transmit the cause of the abnormality as the abnormal state information. And for different abnormal reasons, determining the reference parameter corresponding to the similarity value under the condition that the similarity value is smaller than the threshold value, and determining the abnormal reason so that maintenance personnel can quickly find a fault point for the exhaust gas treatment system to formulate a reasonable maintenance scheme.
Preferably, the receiving in the data receiving module comprises receiving a plurality of sensor data from: particle sensors, carbon monoxide sensors, sulfur dioxide sensors, and flow rate sensors. Different sensors are used for measuring different data, and the particle sensor is used for processing the content of the particulate matters in the gas; the carbon monoxide sensor is used for measuring the content of carbon monoxide in the gas; the sulfur dioxide sensor is used for measuring the content of sulfur dioxide in the gas; the flow rate sensor is used to measure the rate of air circulation. The main pollutants of the waste gas generated in the places such as kitchens, hotels and the like are particulate matters, carbon monoxide and sulfur dioxide,
example 3
The embodiment of the invention can provide a computer terminal which can be any computer terminal device in a computer terminal group. Optionally, in this embodiment, the computer terminal may also be replaced with a terminal device such as a mobile terminal.
Optionally, in this embodiment, the computer terminal may be located in at least one network device of a plurality of network devices of a computer network.
In this embodiment, the computer terminal may execute the program code of the following steps in the vulnerability detection method of the application program: receiving measurement data, the measurement data including a plurality of sensor data transmitted by a plurality of sensors previously provided in the exhaust gas treatment system; respectively determining a plurality of similarity values between the measured data and a plurality of groups of reference parameters through a preset data analysis model, wherein each group of reference parameters corresponds to a preset abnormal reason of the exhaust gas treatment system; comparing the plurality of similarity values with predetermined threshold values, respectively; and sending abnormal state information when the similarity value smaller than the threshold exists in the plurality of similarity values.
Alternatively, the figure is a block diagram of a structure of a computer terminal according to an embodiment of the present invention. As shown, the computer terminal 500 may include: one or more (only one shown in fig. 5) processors 510, memory 520.
The memory 520 may be used to store software programs and modules, such as program instructions/modules corresponding to the security vulnerability detection method and apparatus in the embodiments of the present invention, and the processor 510 executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, implements the above-mentioned detection method for system vulnerability attacks. The memory may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include memory remotely located from the processor, and these remote memories may be connected to terminal a through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor can call the information and application program stored in the memory through the transmission device to execute the following steps: receiving measurement data, the measurement data including a plurality of sensor data transmitted by a plurality of sensors previously provided in the exhaust gas treatment system; respectively determining a plurality of similarity values between the measured data and a plurality of groups of reference parameters through a preset data analysis model, wherein each group of reference parameters corresponds to a preset abnormal reason of the exhaust gas treatment system; comparing the plurality of similarity values with predetermined threshold values, respectively; and sending abnormal state information when the similarity value smaller than the threshold exists in the plurality of similarity values.
Optionally, the processor may further execute the program code of the following steps: the operation of respectively determining a plurality of similarity values between the measured data and the plurality of sets of reference parameters through a preset data analysis model comprises: calculating similarity values between the measured data and sets of reference parameters by the following formula:
wherein SmRepresenting the similarity value, ω, corresponding to the mth set of reference parameters, obtained by matching the ith measurement data with the mth set of reference parametersiI-th said sensor data, mu, corresponding to the measured datamiAn ith reference parameter representing an mth set of reference parameters.
Optionally, the processor may further execute the program code of the following steps: an operation to issue exception status information, comprising: determining a minimum similarity value from the plurality of similarity values; acquiring a reference parameter corresponding to the minimum similarity value; determining the abnormal reason according to the acquired reference parameters; and transmitting the cause of the abnormality as abnormal state information.
Optionally, the processor may further execute the program code of the following steps: an operation to issue exception status information, comprising: determining a predetermined number of similarity values having a minimum similarity value from the plurality of similarity values; acquiring a plurality of groups of reference parameters respectively corresponding to the similarity values of a preset number; respectively acquiring abnormal reasons corresponding to the corresponding multiple groups of reference parameters; and selecting the most number of the acquired abnormal reasons as abnormal state information to be sent.
The embodiment of the invention provides a data processing scheme of an exhaust gas treatment system. Through the data processing method of the waste gas processing system, the purpose of finding the abnormal reason of the waste gas processing system is achieved, and the technical problem of finding the abnormal reason in the waste gas processing system in time is solved. To solve the technical problem of (1).
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
Example 4
The embodiment of the invention also provides a storage medium. Alternatively, in this embodiment, the storage medium may be configured to store the program code executed by the data processing method of the exhaust gas treatment system provided in the first embodiment.
Optionally, in this embodiment, the storage medium may be located in any server in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: the method comprises the following steps: receiving measurement data, the measurement data including a plurality of sensor data transmitted by a plurality of sensors previously provided in the exhaust gas treatment system;
step two: respectively determining a plurality of similarity values between the measured data and a plurality of groups of reference parameters related to the abnormity of the exhaust gas treatment system through a preset data analysis model, wherein each group of reference parameters corresponds to a preset abnormity reason;
step three: comparing the plurality of similarity values with predetermined threshold values, respectively; and
step four: and sending abnormal state information when the similarity value smaller than the threshold exists in the plurality of similarity values.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. An exhaust treatment system data processing method, comprising:
receiving measurement data including a plurality of sensor data transmitted by a plurality of sensors previously provided within an exhaust treatment system;
respectively determining a plurality of similarity values between the measured data and a plurality of groups of reference parameters through a preset data analysis model, wherein each group of reference parameters corresponds to a preset abnormal reason of the exhaust gas treatment system;
comparing the plurality of similarity values with predetermined thresholds, respectively; and
and sending abnormal state information when the similarity value smaller than the threshold exists in the similarity values.
2. The method of claim 1, wherein the operation of determining a plurality of similarity values between the measured data and the plurality of sets of reference parameters respectively through a preset data analysis model comprises: calculating similarity values between the measured data and the sets of reference parameters by:
wherein SmRepresenting the similarity value, ω, obtained by matching the measured data with the mth set of reference parametersiI th said sensor data, mu, representing said measurement datamiAn ith reference parameter representing an mth set of reference parameters.
3. The method of claim 2, wherein issuing exception status information comprises:
determining a minimum similarity value from the plurality of similarity values;
acquiring a reference parameter corresponding to the minimum similarity value;
determining the abnormal reason according to the acquired reference parameters; and
and sending the reason of the abnormality as the abnormal state information.
4. The method of claim 2, wherein issuing exception status information comprises:
determining a predetermined number of similarity values having a minimum similarity value from the plurality of similarity values;
acquiring a plurality of groups of reference parameters respectively corresponding to the similarity values of the preset number;
respectively acquiring abnormal reasons corresponding to the corresponding multiple groups of reference parameters; and
and selecting the abnormal reason with the largest number in the acquired abnormal reasons as the abnormal state information to be sent.
5. The method of claim 1, wherein receiving measurement data comprises receiving the plurality of sensor data from: particle sensors, carbon monoxide sensors, sulfur dioxide sensors, and flow rate sensors.
6. An exhaust treatment system data processing device, comprising:
a data receiving module for receiving measurement data including a plurality of sensor data transmitted by a plurality of sensors previously provided in an exhaust gas treatment system;
the data processing module is used for respectively determining a plurality of similarity values between the measured data and a plurality of groups of reference parameters through a preset data analysis model, wherein each group of reference parameters corresponds to a preset abnormal reason of the exhaust gas treatment system;
a comparison module, configured to compare the similarity values with predetermined thresholds respectively; and
and the sending module is used for sending the abnormal state information under the condition that the similarity value smaller than the threshold exists in the similarity values.
7. The apparatus of claim 6, wherein the data processing module comprises a matching unit for calculating similarity values between the measured data and the sets of reference parameters by the following formula:
wherein SmRepresenting the similarity value, ω, obtained by matching the measured data with the mth set of reference parametersiI th said sensor data, mu, representing said measurement datamiAn ith reference parameter representing an mth set of reference parameters.
8. The apparatus of claim 7, wherein the sending module comprises:
a first determination unit configured to determine a minimum similarity value from the plurality of similarity values;
an obtaining unit, configured to obtain a reference parameter corresponding to the minimum similarity value;
the second determining unit is used for determining the abnormal reason according to the acquired reference parameters; and
a sending unit, configured to send the cause of the abnormality as the abnormal state information.
9. A storage medium, characterized in that the storage medium comprises a stored program, wherein the exhaust gas treatment system data processing method of any one of claims 1 to 5 is executed by a processor when the program is executed.
10. A processor, characterized in that the processor is configured to run a program, wherein the program when executed performs the exhaust gas treatment system data processing method of any of claims 1 to 5.
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