Defect data marking method and system based on garbage incineration power generationTechnical Field
The invention belongs to the technical fields of environmental engineering and garbage disposal, and particularly relates to a defect data marking method and system based on garbage incineration power generation.
Background
The method for counting the generated energy of the garbage incineration adopted by the garbage incineration power plant at the present stage comprises a kilowatt-hour meter, a smart grid technology, an SCADA system or a remote monitoring system and the like, wherein the smart kilowatt-hour meter is widely used due to high precision and high stability, and can provide the functions of remote reading and real-time data monitoring so as to facilitate the garbage incineration power plant to perform more efficient energy management; however, in the process of counting the generated energy in real time, garbage in the incinerator can generate explosive combustion events due to accumulation of inflammable gas, pressure accumulation, chemical reaction or dust explosion, although garbage pretreatment and combustion control can prevent middle-high-intensity explosive combustion events, the occurrence of middle-low-intensity explosive events in the garbage incineration process cannot be stopped, the occurrence of explosive events can cause the increase of heat energy, the acceleration of combustion speed and the rapid increase of heat release rate of the garbage incineration, and the generated energy or the combustion degree generated by the garbage incineration power generation device can also be instantaneously and rapidly increased due to the sudden increase of heat energy. The process of the explosive combustion event is short, the risk brought by the process of monitoring the total amount of generated energy of the garbage incineration power generation device is small, but the accuracy of real-time measurement of the kilowatt-hour meter is greatly deviated, the process of real-time adjustment of the garbage feeding amount in the garbage incineration process is challenged, the analysis effect of a big data model is also caused to slide down due to the deviation of the real-time monitoring data when the big data is applied, and finally the stability of a combustion control system of the garbage incineration power generation plant is damaged, so that a method for marking the explosive combustion event in garbage incineration power generation is needed to solve the technical problem.
Disclosure of Invention
The invention aims to provide a defect data marking method and system based on garbage incineration power generation, which are used for solving one or more technical problems in the prior art and at least providing a beneficial selection or creation condition.
In order to achieve the above object, according to an aspect of the present invention, there is provided a defect data marking method based on garbage incineration power generation, the method comprising the steps of:
s100, arranging an explosion combustion marking scene in a garbage incineration power plant;
s200, acquiring a temperature value and a pressure value from an explosive combustion marking scene to form a load array;
s300, calculating and obtaining deflagration performance states at all moments by using a load array;
and S400, marking the explosive combustion event according to the explosive effect state and storing the explosive combustion event in a server.
Further, in step S100, the method for arranging the explosive combustion marking scene in the garbage incineration power plant is as follows: an explosion combustion marking scene is arranged in a garbage incineration power plant and comprises a garbage incinerator, a plurality of node groups formed by temperature sensors and pressure sensors are uniformly distributed on the furnace wall of the garbage incinerator, the temperature sensors and the pressure sensors are high-temperature-resistant sensors, the temperature sensors are thermocouple temperature sensors, platinum resistance temperature sensors or infrared temperature sensors, and the pressure sensors are strain gauge type pressure sensors, ceramic pressure sensors or capacitive pressure sensors.
Further, in step S200, the method for acquiring the temperature value and the pressure value from the explosive combustion marking scene to form the load array is as follows: setting a time period as a detonation monitoring interval EFDD, wherein EFDD epsilon [5, 30] minutes, in the latest EFDD time period, the node groups in the garbage incinerator all obtain continuous temperature values and pressure values, and the temperature values and the pressure values obtained by the node groups in the garbage incinerator at one moment are recorded as a load array of the node groups at the moment.
Further, in step S300, the method for obtaining the deflagration performance states at each moment by using the load array calculation is as follows: setting a time period as an explosion monitoring interval EFDD, setting the value range of the time period as EFDD epsilon [5, 30] minutes, constructing a load array at each time point in the explosion monitoring interval into a sequence and recording the sequence as a load array sequence ALS, wherein each element in the load array sequence is a binary group comprising a temperature value and a pressure value;
the method comprises the steps of recording the time corresponding to a first element and a last element in a load array sequence ALS as initial time and final time respectively, extracting temperature values of all elements in the load array sequence to form a temperature sequence TList, extracting pressure values of all elements in the load array sequence to form a pressure sequence PList, recording the time corresponding to the element with the maximum value or the minimum value in the temperature sequence as a heat monitoring point, and recording a harmonic average value of the pressure values corresponding to all the heat monitoring points as a peak pressing degree PPC;
all moments between any heat monitoring point and the first heat monitoring point which is searched in reverse time sequence are recorded as heat change monitoring areas; the median number of each temperature value in the thermal monitoring area is recorded as the thermal balance quantity HBL of the thermal monitoring area, and the ratio of the temperature value to the pressure value at any moment is used as the hot pressing reference quality RCv _hp;
the method comprises the steps of obtaining the deflagration sub-effect state at any moment in the deflagration monitoring interval through the heat balance and the peak pressure of each heat change monitoring area in the deflagration monitoring interval, taking the average value of the deflagration sub-effect states at each moment as the deflagration performance effect state DES, wherein the calculation method of the deflagration sub-effect states is as follows:
；
where i1 is the sequence number of the moment, MMS () represents the normalization function, TList [ i1 ]]Representing the element corresponding to the i1 st moment in the temperature sequence, PList [ i1 ]]Representing the element corresponding to the i1 st moment in the pressure sequence, RCv _hpi1 Representing the element hot-pressing reference sign quantity corresponding to the i1 th moment, and knowing that the heat balance sign quantity HBL at any moment is the heat balance sign quantity corresponding to the heat change monitoring area.
The beneficial effects are that: because the calculation of the deflagration sub-states is too dependent on the hot-pressing reference feature quantity, the operation mode cannot embody global characteristics, and the problem of partial analysis unit quantification amplitude deficiency caused by the dependence of the related data of the heat monitoring points can occur, so that quantification is not accurate enough, but the prior art cannot solve the problems of insufficient sensitivity of the deflagration sub-states or quantification amplitude deficiency, so that the screening of the hot overflow points is more reliable, the application of the deflagration sub-states to the deflagration sub-states is wider, and the phenomenon of inaccurate data of the heat trend values is eliminated, so the invention provides a more preferable scheme:
preferably, in step S300, the method for obtaining the deflagration performance states at each moment by using the load array calculation is as follows: setting a time period as a deflagration monitoring interval EFDD, setting the value range of the time period as EFDD epsilon [5, 30] minutes, extracting a load array of a node group at each moment in the EFDD time period, recording the load array as a load array sequence, recording each element in the load array sequence as a binary group comprising a temperature value t and a pressure value p, recording the moment corresponding to the first element in the load array sequence as initial moment, and extracting the temperature values of each element in the load array sequence to form a temperature sequence;
traversing from the second element in time sequence, if the temperature value of one moment is larger than the temperature value of the previous moment and the temperature value is larger than the average value of the elements in the temperature sequence, marking the moment as a hot overflow point, otherwise defining the moment as a non-hot overflow point; taking all moments contained between the initial moment and the last hot overflow point obtained by searching the initial moment in time sequence as a deflagration analysis interval;
extracting temperature values of each element in the load array sequence to form a thermal overflow sequence ALS in the deflagration analysis intervalt Extracting pressure values of all elements in the load array sequence to form an overflow sequence ALSp And by ALSt [.]Representing elements in a sequence of hot overflows, ALSp [.]Representing elements in the overflow sequence; taking all moments between any one hot overflow point and the previous hot overflow point which is searched in reverse time sequence as a hot overflow sample area, wherein the hot overflow sample area does not contain the previous hot overflow point, and the current moment is set as the hot overflow point by default;
identifying and obtaining a plurality of hot overflow sample areas in a deflagration analysis interval, in one hot overflow sample area, recording the ratio of a temperature value corresponding to any moment to a hot overflow point corresponding to the temperature value in the hot overflow sample area as a hot trend temperature STMV of the moment, recording the pressure value corresponding to the hot overflow point as hot overflow pressure TOPS, recording the harmonic average value of the pressure values corresponding to non-hot overflow points as a normal pressure value, and recording the difference value between the hot overflow pressure corresponding to the hot overflow point and the normal pressure value in the hot overflow sample area as a sudden pressure difference of the hot overflow point;
if the sudden pressure difference of the thermal overflow points is larger than zero, the current thermal overflow points are marked as thermal overflow singular points, and the temperature value and the pressure value in the node group corresponding to the thermal overflow singular points are respectively marked as thermal explosion temperature DTV and thermal explosion pressure DPV; taking j1 as a sequence number of moment, calculating overflow state quantity PSCtp of the j1 th moment according to the hot overflow sequence and the overflow sequencej1 ：
；
Wherein exp () is an exponential function based on e, ALSt [j1]Represents the j1 st element in the hot overflow sequence, ALSp [j1]Representing the j1 st element in the overflow sequence;
according to elements in the hot overflow sequence and the pressure overflow sequence and overflow state quantity, obtaining a deflagration sub-state, taking an average value of deflagration sub-states at all moments as a current deflagration performance state DES, wherein the deflagration sub-state calculation method at the j1 th moment is as follows:
；
wherein n1, n2 are accumulation variables, mean<>As a function of the average value,representing the number of overflow singularities, std.ALSt ALS and stdp Respectively representing a thermal overflow sequence and an overflow sequence after minmax normalization treatment, STMVj1 DTV representing the trending thermal value at time j1n1 Represents the thermal explosion temperature DTV and DPV corresponding to the nth 1 st thermal overflow singular pointn2 Representing the thermal explosion pressure DPV corresponding to the nth 2 thermal overflow singular point.
In addition willALSt [j1]Represents the j1 st element in the hot overflow sequence, ALSp [j1]Representing the j1 st element in the overflow sequence, PSCtpj1 Representing the overflow state quantity of the j1 st element in the load array sequence;
the beneficial effects are that: from the above, the deflagration performance is calculated according to the quantification of the temperature value and the pressure value at different positions in the garbage incinerator, the change degree of the affected factors and the instability of the regional characteristics in the garbage incinerator when the explosive combustion event occurs are effectively quantified through the transverse comparison of the node groups at different moments, more reliable mathematical support is provided for accurately and sensitively marking the explosive combustion event in the actual scene, the weight of the moment when the temperature value and the pressure value suddenly increase is enhanced, the sensitivity of the system for identifying the defect change moment is improved, and the uncertainty risk caused by temperature and pressure change due to feeding the incinerator in the garbage incineration process is reduced.
Further, in step S400, the method for marking and storing the explosive combustion event according to the deflagration performance status is as follows: setting a time period as a detonation monitoring interval EFDD, wherein the EFDD epsilon is 5 and 30 minutes, obtaining a detonation performance state at any moment in the latest EFDD time period, recording the difference value between the detonation performance state at one moment and the detonation performance state at the previous moment as a first combustion loss overflow, and obtaining a continuous first combustion loss overflow for all moments; and recording the upper quarter point of all the fuel loss overflows as the second fuel loss overflows, if the first fuel loss overflows more than the second fuel loss overflows at any moment, marking the moment as the occurrence moment of an explosive combustion event, marking the data obtained by measuring the electric meter in the period from the current moment to the previous moment as a combustion explosion risk mark, forming a deflagration identification sequence, and transmitting the deflagration identification sequence to a server.
Preferably, in step S400, the method for marking and storing the explosive combustion event according to the deflagration performance status is as follows: and constructing a deflagration easy model by carrying out a big data model according to each deflagration identification sequence stored in the server, wherein the adopted model is one of a regression model, a classification model, a clustering model or an abnormality detection model, marking an explosive combustion event through the model, carrying out trend prediction and analysis on the impending explosive combustion event, identifying and marking the occurrence time of the potential explosive combustion event, and intelligently adjusting the statistically estimated generated energy by utilizing the prediction result obtained by the model.
Preferably, all undefined variables in the present invention, if not explicitly defined, may be thresholds set manually.
The invention also provides a defect data marking system based on the garbage incineration power generation, which comprises: the processor executes the computer program to implement steps in the defect data marking method based on the garbage incineration power generation, the defect data marking system based on the garbage incineration power generation can be operated in a computing device such as a desktop computer, a notebook computer, a palm computer and a cloud data center, and the operable system can include, but is not limited to, a processor, a memory and a server cluster, and the processor executes the computer program to operate in units of the following systems:
a scene arrangement unit for arranging an explosive combustion marking scene in a refuse incineration power plant;
the load array acquisition unit is used for acquiring a temperature value and a pressure value from the explosion combustion marking scene to form a load array;
the deflagration performance state calculation unit is used for calculating and obtaining deflagration performance states at all moments by using the load array;
and the marking and adjusting unit is used for marking the explosive combustion event according to the explosive effect and storing the explosive combustion event to the server.
The beneficial effects of the invention are as follows: the invention provides a defect data marking method and system based on garbage incineration power generation, which quantizes the deflagration performance state of a garbage incinerator at different moments, wherein the deflagration performance state is calculated according to the temperature values and the pressure values at different positions in the garbage incinerator, and the degree of change of affected factors and the instability of regional characteristics in the garbage incinerator when an explosive combustion event occurs are effectively quantized through transverse comparison of node groups at different moments, so that the weight of the moment of sudden increase of the temperature values and the pressure values is enhanced, the sensitivity of the system for identifying the moment of defect change is improved, and the risk of uncertainty formation caused by temperature and pressure change due to charging of the incinerator in the garbage incineration process is reduced.
Drawings
The above and other features of the present invention will become more apparent from the detailed description of the embodiments thereof given in conjunction with the accompanying drawings, in which like reference characters designate like or similar elements, and it is apparent that the drawings in the following description are merely some examples of the present invention, and other drawings may be obtained from these drawings without inventive effort to those of ordinary skill in the art, in which:
FIG. 1 is a flow chart of a defect data marking method based on garbage incineration power generation;
fig. 2 is a diagram showing a structure of a defect data marking system based on garbage incineration power generation.
Detailed Description
The conception, specific structure, and technical effects produced by the present invention will be clearly and completely described below with reference to the embodiments and the drawings to fully understand the objects, aspects, and effects of the present invention. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other.
Referring to fig. 1, which is a flowchart illustrating a defect data marking method based on garbage incineration power generation, a defect data marking method based on garbage incineration power generation according to an embodiment of the present invention is described below with reference to fig. 1, and the method includes the following steps:
s100, arranging an explosion combustion marking scene in a garbage incineration power plant;
s200, acquiring a temperature value and a pressure value from an explosive combustion marking scene to form a load array;
s300, calculating and obtaining deflagration performance states at all moments by using a load array;
and S400, marking the explosive combustion event according to the explosive effect state and storing the explosive combustion event in a server.
Further, in step S100, the method for arranging the explosive combustion marking scene in the garbage incineration power plant is as follows: an explosion combustion marking scene is arranged in a garbage incineration power plant and comprises a garbage incinerator, a plurality of node groups formed by temperature sensors and pressure sensors are uniformly distributed on the furnace wall of the garbage incinerator, the temperature sensors and the pressure sensors are high-temperature-resistant sensors, the temperature sensors are thermocouple temperature sensors, platinum resistance temperature sensors or infrared temperature sensors, and the pressure sensors are strain gauge type pressure sensors, ceramic pressure sensors or capacitive pressure sensors.
Further, in step S200, the method for acquiring the temperature value and the pressure value from the explosive combustion marking scene to form the load array is as follows: setting a time period as a detonation monitoring interval EFDD, wherein EFDD epsilon [5, 30] minutes, in the latest EFDD time period, the node groups in the garbage incinerator all obtain continuous temperature values and pressure values, and the temperature values and the pressure values obtained by the node groups in the garbage incinerator at one moment are recorded as a load array of the node groups at the moment.
Further, in step S300, the method for obtaining the deflagration performance states at each moment by using the load array calculation is as follows: setting a time period as a detonation monitoring interval EFDD, setting the value range of the time period as EFDD epsilon [5, 30] min, constructing a load array at each moment in the detonation monitoring interval into a sequence and recording the sequence as a load array sequence ALS, recording the moments corresponding to the first element and the last element in the load array sequence ALS as initial moments and final moments respectively, extracting the temperature values of each element in the load array sequence to form a temperature sequence TList, extracting the pressure values of each element in the load array sequence to form a pressure sequence PList, recording the moment corresponding to the element with the maximum value or the minimum value in the temperature sequence as a heat monitoring point, and recording the harmonic average value of the pressure values corresponding to each heat monitoring point as a peak pressure PPC;
all moments between any heat monitoring point and the first heat monitoring point which is searched in reverse time sequence are recorded as heat change monitoring areas; the method for calculating the hot pressing reference sign quantity RCv _hp or the hot pressing reference sign quantity by taking the ratio of the temperature value to the pressure value at any moment can be replaced by taking i2 as the serial number of the moment, and the hot pressing reference sign quantity at the i2 moment is RCv _hp (i 2):
；
where e is a natural constant, ln () represents a logarithmic function based on e, TList [ i2] and PList [ i2] represent the i2 nd element in the temperature sequence and pressure sequence, respectively;
the method comprises the steps of obtaining the deflagration sub-effect state at any moment in the deflagration monitoring interval through the heat balance and the peak pressure of each heat change monitoring area in the deflagration monitoring interval, taking the average value of the deflagration sub-effect states at all moments as the deflagration performance state DES, wherein the calculation method of the deflagration sub-effect states is as follows:
；
where i1 is the sequence number of the moment, MMS () represents the normalization function, TList [ i1 ]]Representing the element corresponding to the i1 st moment in the temperature sequence, PList [ i1 ]]Representing the element corresponding to the i1 st moment in the pressure sequence, RCv _hpi1 Representing the element hot-pressing reference sign quantity corresponding to the i1 time.
Preferably, in step S300, the method for obtaining the deflagration performance states at each moment by using the load array calculation is as follows: setting a time period as an explosion monitoring interval EFDD, setting the value range of the time period as EFDD epsilon [5, 30] minutes, extracting a load array of a node group at each moment in the EFDD time period, marking the load array as a load array sequence, marking the moment corresponding to the first element in the load array sequence as initial moment, and extracting the temperature value of each element in the load array sequence to form a temperature sequence;
traversing from the second element in time sequence, if the temperature value of one moment is larger than the temperature value of the previous moment and the temperature value is larger than the average value of the elements in the temperature sequence, marking the moment as a hot overflow point, otherwise defining the moment as a non-hot overflow point; taking all moments contained between the initial moment and the last hot overflow point obtained by searching the initial moment in time sequence as a deflagration analysis interval;
extracting temperature values of each element in the load array sequence to form a thermal overflow sequence ALS in the deflagration analysis intervalt Extracting pressure values of all elements in the load array sequence to form an overflow sequence ALSp And by ALSt [.]Representing elements in a sequence of hot overflows, ALSp [.]Representing elements in the overflow sequence; taking all moments between any one thermal overflow point and the previous thermal overflow point which is searched in reverse time sequence as a thermal overflow sample area;
identifying and obtaining a plurality of hot overflow sample areas in a deflagration analysis interval, in one hot overflow sample area, recording the ratio of a temperature value corresponding to any moment to a hot overflow point corresponding to the temperature value in the hot overflow sample area as a hot trend temperature STMV of the moment, recording the pressure value corresponding to the hot overflow point as hot overflow pressure TOPS, recording the harmonic average value of the pressure values corresponding to non-hot overflow points as a normal pressure value, and recording the difference value between the hot overflow pressure corresponding to the hot overflow point and the normal pressure value in the hot overflow sample area as a sudden pressure difference of the hot overflow point;
if the sudden pressure difference of the thermal overflow points is larger than zero, the current thermal overflow points are marked as thermal overflow singular points, and the temperature value and the pressure value in the node group corresponding to the thermal overflow singular points are respectively marked as thermal explosion temperature DTV and thermal explosion pressure DPV; taking j1 as a sequence number of moment, calculating overflow state quantity PSCtp of the j1 th moment according to the hot overflow sequence and the overflow sequencej1 ：
；
Wherein exp () is an exponential function based on e, ALSt [j1]Representing the thermal overflow sequenceThe j1 st element in the column, ALSp [j1]Representing the j1 st element in the overflow sequence;
according to elements in the hot overflow sequence and the pressure overflow sequence and overflow state quantity, obtaining a deflagration sub-state, taking an average value of deflagration sub-states at all moments as a current deflagration performance state DES, wherein the deflagration sub-state calculation method at the j1 th moment is as follows:
；
wherein n1, n2 are accumulation variables, mean<>As a function of the average value,representing the number of overflow singularities, std.ALSt ALS and stdp Respectively representing a thermal overflow sequence and an overflow sequence after minmax normalization treatment, STMVj1 DTV representing the trending thermal value at time j1n1 Represents the thermal explosion temperature DTV and DPV corresponding to the nth 1 st thermal overflow singular pointn2 Representing the thermal explosion pressure DPV corresponding to the nth 2 thermal overflow singular point.
Further, in step S400, the method for marking and storing the explosive combustion event according to the deflagration performance status is as follows: setting a time period as a detonation monitoring interval EFDD, wherein the EFDD epsilon is 5 and 30 minutes, obtaining a detonation performance state at any moment in the latest EFDD time period, recording the difference value between the detonation performance state at one moment and the detonation performance state at the previous moment as a first combustion loss overflow, and obtaining a continuous first combustion loss overflow for all moments; and recording the upper quarter point of all the fuel loss overflows as the second fuel loss overflows, if the first fuel loss overflows more than the second fuel loss overflows at any moment, marking the moment as the occurrence moment of an explosive combustion event, marking the data obtained by measuring the electric meter in the period from the current moment to the previous moment as a combustion explosion risk mark, forming a deflagration identification sequence, and transmitting the deflagration identification sequence to a server.
Preferably, in step S400, the method for marking and storing the explosive combustion event according to the deflagration performance status is as follows: and constructing a deflagration easy model by carrying out a big data model according to each deflagration identification sequence stored in the server, wherein the adopted model is one of a regression model, a classification model, a clustering model or an abnormality detection model, marking an explosive combustion event through the model, carrying out trend prediction and analysis on the impending explosive combustion event, identifying and marking the occurrence time of the potential explosive combustion event, and intelligently adjusting the statistically estimated generated energy by utilizing the prediction result obtained by the model.
The method comprises the steps of obtaining a prediction result of the instability risk of explosive combustion in the current combustion state in real time through a deflagration susceptibility model, wherein the numerical value of the prediction result is used for expressing the degree of the instability risk of the explosive combustion, and the larger the numerical value of the prediction result is, the higher the risk degree is, and the larger the probability of the explosive combustion event is about to happen currently; when the data obtained by measuring the kilowatt-hour meter at one moment has a combustion explosion risk mark, the predicted result obtained by the deflagration easy model is taken as the compensation weight, and the generated energy data or the numerical value obtained at a plurality of moments before the moment is compensated and regulated.
The embodiment of the invention provides a defect data marking system based on garbage incineration power generation, as shown in fig. 2, which is a structure diagram of the defect data marking system based on garbage incineration power generation, and the defect data marking system based on garbage incineration power generation of the embodiment comprises: the system comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the steps in the defect data marking method embodiment based on the garbage incineration power generation when executing the computer program.
The system comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in units of the following system:
a scene arrangement unit for arranging an explosive combustion marking scene in a refuse incineration power plant;
the load array acquisition unit is used for acquiring a temperature value and a pressure value from the explosion combustion marking scene to form a load array;
the deflagration performance state calculation unit is used for calculating and obtaining deflagration performance states at all moments by using the load array;
and the marking and adjusting unit is used for marking the explosive combustion event according to the explosive effect and storing the explosive combustion event to the server.
The defect data marking system based on the garbage incineration power generation can be operated in computing equipment such as a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The defect data marking system based on the garbage incineration power generation can comprise, but is not limited to, a processor and a memory. It will be appreciated by those skilled in the art that the example is merely an example of a defect data marking system based on garbage incineration power generation, and is not limited to a defect data marking system based on garbage incineration power generation, and may include more or fewer components than the example, or may combine some components, or different components, for example, the defect data marking system based on garbage incineration power generation may further include an input and output device, a network access device, a bus, and so on.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general processor can be a microprocessor or any conventional processor, and the processor is a control center of the defect data marking system operation system based on the garbage incineration power generation, and various interfaces and lines are used for connecting various parts of the whole defect data marking system operation system based on the garbage incineration power generation.
The memory may be used to store the computer program and/or the module, and the processor may implement various functions of the defect data marking system based on garbage incineration power generation by running or executing the computer program and/or the module stored in the memory and calling the data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
While the invention has been described in considerable detail and with particularity, it is not intended to be limited to any such details or embodiments or any defective embodiments so as to effectively cover the intended scope of the invention. Furthermore, the foregoing description of the invention has been presented in its embodiments contemplated by the inventors for the purpose of providing a useful description, and for the purposes of providing a non-essential modification of the invention that may not be presently contemplated, may represent an equivalent modification of the invention.