CN116226115A - Intelligent environment-friendly dust equipment monitoring data processing method and system - Google Patents
Intelligent environment-friendly dust equipment monitoring data processing method and system Download PDFInfo
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Abstract
The invention relates to the technical field of environmental protection, in particular to a method and a system for processing monitoring data of intelligent environment-friendly dust equipment, wherein the method comprises the following steps: acquiring granularity data with a time stamp monitored by intelligent environment-friendly dust equipment in real time, and generating a granularity data packet according to the time stamp of the granularity data; obtaining the data continuity rate of the granularity data packet according to the time stamp of the adjacent granularity data in the granularity data packet; when the data continuous rate is smaller than the preset standard continuous rate, correcting the granularity data in the granularity data packet to ensure that the data continuous rate is larger than or equal to the standard continuous rate; obtaining the data stabilization rate of the granularity data packet according to the size of the granularity data in the granularity data packet; when the data stabilization rate is smaller than a preset standard stabilization rate, the granularity data in the granularity data packet is corrected, so that the data stabilization rate is larger than or equal to the standard stabilization rate. The granularity data packet obtained by the method has good continuity and stability, and provides effective data support for the internal test of intelligent environmental protection items.
Description
Technical Field
The invention relates to the technical field of environmental protection, in particular to a method and a system for processing monitoring data of intelligent environment-friendly dust equipment.
Background
Construction dust refers to a large amount of dust particles generated by the movement of constructors or the operation of machinery in house construction activities, and pollution to the atmosphere is also a primary source of dust in urban environment air and a primary object of dust pollution control. Construction dust with different degrees can be generated at different stages of construction and in different construction modes, and the diffusion of the dust can be influenced by vertical or horizontal diffusion. The construction dust is generated throughout the whole engineering construction process, and the construction dust emission with different degrees can be generated from the foundation pit support and the earth-rock construction stage of the building engineering construction to the decoration and fitment construction stage. The method has the characteristics of wide forming range, random emission, difficult accurate measurement of emission and high dust management difficulty. The construction dust has complex influencing factors, including factors such as engineering scale, construction stage, construction strength, mechanization degree, construction materials and the like, and climatic factors such as temperature and humidity, wind speed and the like of a construction site.
However, in the construction project, the existing construction environment monitoring system cannot track the continuity and stability of the monitoring data in real time, so that the accuracy of the monitoring data cannot be ensured, and the requirements of modernization and scientization of engineering construction project management cannot be met.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method and a system for processing monitoring data of intelligent environment-friendly dust equipment.
The invention adopts the following technical scheme: a method for processing intelligent environmental protection dust equipment monitoring data, the method comprising:
acquiring granularity data with time stamps monitored by intelligent environment-friendly dust equipment in real time, and arranging the granularity data according to the sequence of the time stamps to generate granularity data packets;
obtaining the data continuous rate of the granularity data packet according to the time stamp of the adjacent granularity data in the granularity data packet;
when the data continuous rate is smaller than a preset standard continuous rate, correcting the granularity data in the granularity data packet to ensure that the data continuous rate is larger than or equal to the standard continuous rate;
obtaining the data stabilization rate of the granularity data packet according to the size of the granularity data in the granularity data packet;
when the data stabilization rate is smaller than a preset standard stabilization rate, correcting the granularity data in the granularity data packet to enable the data stabilization rate to be larger than or equal to the standard stabilization rate.
According to the intelligent environment-friendly dust equipment monitoring data processing method, the data continuity rate of the granularity data packets is judged through the continuity of the time stamp by enabling the granularity data collected by the intelligent environment-friendly dust equipment to be attached with the time stamp, and the granularity data in the granularity data packets with the data continuity rate smaller than the standard continuity rate are corrected and supplemented until the data continuity rate is larger than or equal to the standard continuity rate, so that the continuity and the accuracy of the granularity data in the granularity data packets are ensured; judging the data stability rate of the granularity data packet according to the size of the granularity data, correcting and modifying the granularity data in the granularity data packet with the data stability rate smaller than the standard stability rate until the data stability rate is greater than or equal to the standard stability rate, so that the stability and the accuracy of the granularity data in the granularity data packet are ensured; the granularity data packet obtained finally has good continuity, stability and accuracy, provides effective data support for the internal test of the intelligent environment-friendly project, and meets the requirements of modernization and scientization of engineering construction project management.
Further, the step of obtaining the data continuous rate of the granularity data packet according to the time stamp of the adjacent granularity data in the granularity data packet specifically includes:
setting the granularity data in the granularity data packet to L n With the L n Adjacent granularity data is set as L n+1 The L is n+1 Is time stamped with the L n The time stamps of the adjacent time differences are obtained by subtracting the time stamps of the adjacent time differences;
when the adjacent time difference is equal to a data acquisition interval preset by the intelligent environment-friendly dust raising equipment, the method comprises the following steps ofL n The L is n+1 Marked as a;
when the adjacent time difference is larger than a preset data acquisition interval of the intelligent environment-friendly dust raising equipment and the adjacent time difference is an integral multiple of the data acquisition interval, recording missing granularity data as
And is said->
Adding a corresponding time stamp while adding said ++>
Marked b; wherein said->
Is the timestamp of L n Adding m times the value of said data acquisition interval to the time stamp of said +.>
Is the mth missing granularity data between the nth granularity data and the n+1th granularity data;
the data continuous rate S is as follows:
where sum (a) is the sum of the marks a and Z is the total number of marks of the marks a and b.
Further, when the data continuous rate is smaller than a preset standard continuous rate, the step of correcting the granularity data in the granularity data packet to make the data continuous rate greater than or equal to the standard continuous rate specifically includes:
when the data continuous rate is smaller than a preset standard continuous rate, searching mutation deletion granularity data marked as b, and marking the mutation deletion granularity data as
Simultaneously trigger an alarm to prompt the manual dryPre-preparing; wherein said->
Missing granularity data numbered m that results in the data continuity rate being less than the standard continuity rate between the nth granularity data and the n+1th granularity data;
is opposite to and positioned at the
The granularity data before the timestamp and marked a is averaged J, let
；
The said
Added to said granularity data packet in the order of its time stamp and said +.>
As new said granularity data, simultaneously said +.>
Marked as a until the data rate is equal to or greater than the standard rate.
Further, the step of obtaining the data stabilization rate of the granularity data packet according to the size of the granularity data in the granularity data packet specifically includes:
sequentially judging the L in the granularity data packet according to the sequence of the time stamps n Whether within a preset normal granularity range;
when said L n Within the normal particle size range, the L n Marked as e;
when said L n When the particle size is not within the normal particle size range, the L n Marked as f;
the data stabilization rate W is:
where sum (e) is the sum of the marks e and G is the total number of marks e and f.
Further, when the data stabilization rate is smaller than a preset standard stabilization rate, the step of correcting the granularity data in the granularity data packet to make the data stabilization rate greater than or equal to the standard stabilization rate specifically includes:
when the data stability rate is smaller than a preset standard stability rate, searching the mutation abnormal granularity data marked as f, and recording the mutation abnormal granularity data as
Triggering an alarm at the same time to prompt manual intervention;
is opposite to and positioned at the
Said granularity data before the timestamp and marked e is averaged K, let +.>
；
The said
Added to said granularity data packet in the order of its time stamp and said +.>
As new said granularity data, simultaneously said +.>
Marked as e until the data stabilization rate is equal to or greater than the standard stabilization rate.
An intelligent environmental protection dust equipment monitoring data processing system, the system comprising:
the acquisition module is used for acquiring the granularity data with the time stamp monitored by the intelligent environment-friendly dust equipment in real time, arranging the granularity data according to the sequence of the time stamp thereof and generating granularity data packets;
the first calculation module is used for obtaining the data continuous rate of the granularity data packet according to the time stamp of the adjacent granularity data in the granularity data packet;
the first correction module is used for correcting the granularity data in the granularity data packet when the data continuous rate is smaller than a preset standard continuous rate so that the data continuous rate is larger than or equal to the standard continuous rate;
the second calculation module is used for obtaining the data stabilization rate of the granularity data packet according to the size of the granularity data in the granularity data packet;
the second correction module is used for correcting the granularity data in the granularity data packet when the data stabilization rate is smaller than a preset standard stabilization rate, so that the data stabilization rate is larger than or equal to the standard stabilization rate.
According to the intelligent environment-friendly dust equipment monitoring data processing system, the data continuity rate of the granularity data packets is judged through the continuity of the time stamp by enabling the granularity data collected by the intelligent environment-friendly dust equipment to be attached with the time stamp, and the granularity data in the granularity data packets with the data continuity rate smaller than the standard continuity rate are corrected and supplemented until the data continuity rate is larger than or equal to the standard continuity rate, so that the continuity and the accuracy of the granularity data in the granularity data packets are ensured; judging the data stability rate of the granularity data packet according to the size of the granularity data, correcting and modifying the granularity data in the granularity data packet with the data stability rate smaller than the standard stability rate until the data stability rate is greater than or equal to the standard stability rate, so that the stability and the accuracy of the granularity data in the granularity data packet are ensured; the granularity data packet obtained finally has good continuity, stability and accuracy, provides effective data support for the internal test of the intelligent environment-friendly project, and meets the requirements of modernization and scientization of engineering construction project management.
Further, the first computing module is specifically configured to:
setting the granularity data in the granularity data packet to L n With the L n Adjacent granularity data is set as L n+1 Will be gotThe L is n+1 Is time stamped with the L n The time stamps of the adjacent time differences are obtained by subtracting the time stamps of the adjacent time differences;
when the adjacent time difference is equal to a preset data acquisition interval of the intelligent environment-friendly dust raising equipment, the L is set as follows n The L is n+1 Marked as a;
when the adjacent time difference is larger than a preset data acquisition interval of the intelligent environment-friendly dust raising equipment and the adjacent time difference is an integral multiple of the data acquisition interval, recording missing granularity data as
And is said->
Adding a corresponding time stamp while adding said ++>
Marked b; wherein said->
Is the timestamp of L n Adding m times the value of said data acquisition interval to the time stamp of said +.>
Is the mth missing granularity data between the nth granularity data and the n+1th granularity data;
the data continuous rate S is as follows:
where sum (a) is the sum of the marks a and Z is the total number of marks of the marks a and b.
Further, the first correction module is specifically configured to:
when the data continuous rate is smaller than a preset standard continuous rate, searching mutation deletion granularity data marked as b, and marking the mutation deletion granularity data as
Triggering an alarm at the same time to prompt manual intervention; wherein said->
Missing granularity data numbered m that results in the data continuity rate being less than the standard continuity rate between the nth granularity data and the n+1th granularity data;
is opposite to and positioned at the
The granularity data before the timestamp and marked a is averaged J, let
；
The said
Added to said granularity data packet in the order of its time stamp and said +.>
As new said granularity data, simultaneously said +.>
Marked as a until the data rate is equal to or greater than the standard rate.
Further, the second computing module is specifically configured to:
sequentially judging the L in the granularity data packet according to the sequence of the time stamps n Whether within a preset normal granularity range;
when said L n Within the normal particle size range, the L n Marked as e;
when said L n When the particle size is not within the normal particle size range, the L n Marked as f;
the data stabilization rate W is:
where sum (e) is the sum of the marks e and G is the total number of marks e and f.
Further, the second correction module is specifically configured to:
when the data stability rate is smaller than a preset standard stability rate, searching the mutation abnormal granularity data marked as f, and recording the mutation abnormal granularity data as
Triggering an alarm at the same time to prompt manual intervention;
is opposite to and positioned at the
Said granularity data before the timestamp and marked e is averaged K, let +.>
；
The said
Added to said granularity data packet in the order of its time stamp and said +.>
As new said granularity data, simultaneously said +.>
Marked as e until the data stabilization rate is equal to or greater than the standard stabilization rate.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for processing monitoring data of an intelligent environment-friendly dust-raising device according to a first embodiment of the invention;
FIG. 2 is a block diagram of a second embodiment of a system for monitoring data processing of an intelligent environmental protection dust-raising equipment.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended to illustrate embodiments of the invention and should not be construed as limiting the invention.
In the description of the embodiments of the present invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate description of the embodiments of the present invention and simplify description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the embodiments of the present invention, the meaning of "plurality" is two or more, unless explicitly defined otherwise.
In the embodiments of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured" and the like are to be construed broadly and include, for example, either permanently connected, removably connected, or integrally formed; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the embodiments of the present invention will be understood by those of ordinary skill in the art according to specific circumstances.
Example 1
Referring to fig. 1, a first embodiment of the present invention is a method for processing monitoring data of an intelligent environment-friendly dust-raising apparatus, the method comprising:
s1: acquiring granularity data with time stamps monitored by intelligent environment-friendly dust equipment in real time, and arranging the granularity data according to the sequence of the time stamps to generate granularity data packets;
s2: obtaining the data continuity rate of the granularity data packet according to the time stamp of the adjacent granularity data in the granularity data packet; the method specifically comprises the following steps:
setting granularity data in granularity data packet as L n And L is equal to n Adjacent granularity data is set as L n+1 Will L n+1 Timestamp of (c) and L n The time stamps of the adjacent time differences are obtained by subtracting the time stamps of the adjacent time differences;
when the adjacent time difference is equal to the preset data acquisition interval of the intelligent environment-friendly dust raising equipment, L is calculated as follows n L and L n+1 Marked as a;
when the adjacent time difference is larger than the preset data acquisition interval of the intelligent environment-friendly dust raising equipment and the adjacent time difference is an integral multiple of the data acquisition interval, namely L n And L is equal to n+1 At least one particle size data is deleted, and the particle size data is recorded as
And is->
Adding the corresponding time stamp, and simultaneously +.>
Marked b; wherein (1)>
Is L in time stamp n Is added with a value of m times the data acquisition interval,/, for the time stamp of (a)>
Is the mth missing granularity data between the nth granularity data and the n+1th granularity data;
the data continuity rate S is:
where sum (a) is the sum of the marks a and Z is the total number of marks of the marks a and b.
S3: when the data continuous rate is smaller than the preset standard continuous rate, correcting the granularity data in the granularity data packet to ensure that the data continuous rate is larger than or equal to the standard continuous rate; the method specifically comprises the following steps:
when the data continuous rate is smaller than the preset standard continuous rate, namely at least one mutation deletion granularity data marked as b exists, so that the data continuous rate is smaller than the standard continuous rate, and the mutation deletion granularity data is recorded as
Simultaneously triggering an alarm, prompting manual intervention, +.>
Missing granularity data numbered m, which leads to a data continuity rate smaller than the standard continuity rate, between the nth granularity data and the (n+1) th granularity data;
is positioned opposite to
Granularity data before the timestamp and marked a is averaged J, let +.>
；
Will be
Added to granularity data packets in the order of their time stamps and +.>
As new granularity data, at the same time +.>
Marked as a until the data rate is equal to or greater than the standard rate.
In this embodiment, the standard continuous rate is 98%, and when the data continuous rate is smaller than the standard continuous rate, an audible and visual alarm is sent out to prompt a worker to check whether the intelligent environment-friendly dust-raising equipment has technical faults or not, and the faults are removed to ensure that the granularity data packet has good data continuity.
S4: obtaining the data stabilization rate of the granularity data packet according to the size of the granularity data in the granularity data packet; the method specifically comprises the following steps:
sequentially judging L in granularity data packets according to the sequence of time stamps n Whether within a preset normal granularity range;
when L n Within the normal particle size range, L n Marked as e;
when L n When the particle size is not within the normal particle size range, L is n Marked as f;
the data stabilization rate W is:
where sum (e) is the sum of the labels e and G is the total number of labels e and f.
In this embodiment, the normal grain size range is the maximum and minimum values that can be usually reached by the environmental dust on the construction site.
S5: when the data stabilization rate is smaller than a preset standard stabilization rate, correcting the granularity data in the granularity data packet to ensure that the data stabilization rate is larger than or equal to the standard stabilization rate; the method specifically comprises the following steps:
when the data stabilization rate is smaller than a preset standard stabilization rate, namely at least one piece of mutation abnormal granularity data marked as f exists, so that the data continuous rate is smaller than the standard continuous rate, and the mutation abnormal granularity data is recorded as
At the same time, an alarm is triggered,prompting manual intervention;
is positioned opposite to
Granularity data before the timestamp and marked e is averaged K, let +.>
；
Will be
Added to granularity data packets in the order of their time stamps and +.>
As new granularity data, at the same time +.>
Marked as e until the data stabilization rate is equal to or greater than the standard stabilization rate.
In this embodiment, the standard stability rate is 99%, and when the data stability rate is smaller than the standard stability rate, an audible and visual alarm is sent out to prompt a worker to check whether the intelligent environment-friendly dust-raising equipment has technical faults or not, and the faults are eliminated to ensure that the granularity data packet has good data stability.
According to the intelligent environment-friendly dust equipment monitoring data processing method, the data continuity rate of the granularity data packets is judged through the continuity of the time stamp by enabling the granularity data collected by the intelligent environment-friendly dust equipment to be attached with the time stamp, and the granularity data in the granularity data packets with the data continuity rate smaller than the standard continuity rate are corrected and supplemented until the data continuity rate is larger than or equal to the standard continuity rate, so that the continuity and the accuracy of the granularity data in the granularity data packets are ensured; judging the data stability rate of the granularity data packet according to the size of the granularity data, correcting and modifying the granularity data in the granularity data packet with the data stability rate smaller than the standard stability rate until the data stability rate is greater than or equal to the standard stability rate, so that the stability and the accuracy of the granularity data in the granularity data packet are ensured; the granularity data packet obtained finally has good continuity, stability and accuracy, provides effective data support for the internal test of the intelligent environment-friendly project, and meets the requirements of modernization and scientization of engineering construction project management.
Example two
Referring to fig. 2, a system for processing monitoring data of an intelligent environment-friendly dust-raising device according to a second embodiment of the invention comprises:
the acquisition module is used for acquiring the granularity data with the time stamp monitored by the intelligent environment-friendly dust equipment in real time, arranging the granularity data according to the sequence of the time stamp thereof and generating granularity data packets;
the first calculation module is used for obtaining the data continuous rate of the granularity data packet according to the time stamp of the adjacent granularity data in the granularity data packet;
the first correction module is used for correcting the granularity data in the granularity data packet when the data continuous rate is smaller than the preset standard continuous rate so that the data continuous rate is larger than or equal to the standard continuous rate;
the second calculation module is used for obtaining the data stabilization rate of the granularity data packet according to the size of the granularity data in the granularity data packet;
the second correction module is used for correcting the granularity data in the granularity data packet when the data stabilization rate is smaller than the preset standard stabilization rate so that the data stabilization rate is larger than or equal to the standard stabilization rate.
The first computing module is specifically configured to:
setting granularity data in granularity data packet as L n And L is equal to n Adjacent granularity data is set as L n+1 Will L n+1 Timestamp of (c) and L n The time stamps of the adjacent time differences are obtained by subtracting the time stamps of the adjacent time differences;
when the adjacent time difference is equal to the preset data acquisition interval of the intelligent environment-friendly dust raising equipment, L is calculated as follows n L and L n+1 Marked as a;
when the adjacent time difference is larger than the preset data acquisition interval of the intelligent environment-friendly dust raising equipment and the adjacent time difference is an integral multiple of the data acquisition interval, namely L n And L is equal to n+1 At least one particle size data is deleted, and the particle size data is recorded as
And is->
Adding the corresponding time stamp, and simultaneously +.>
Marked b; wherein (1)>
Is L in time stamp n Is added with a value of m times the data acquisition interval,/, for the time stamp of (a)>
Is the mth missing granularity data between the nth granularity data and the n+1th granularity data;
the data continuity rate S is:
where sum (a) is the sum of the marks a and Z is the total number of marks of the marks a and b.
The first correction module is specifically used for;
when the data continuous rate is smaller than the preset standard continuous rate, namely at least one mutation deletion granularity data marked as b exists, so that the data continuous rate is smaller than the standard continuous rate, and the mutation deletion granularity data is recorded as
Triggering an alarm at the same time to prompt manual intervention; wherein (1)>
Missing granularity data numbered m, which leads to a data continuity rate smaller than the standard continuity rate, between the nth granularity data and the (n+1) th granularity data;
is positioned opposite to
Time stamp of (a)The granularity data previously marked a is averaged J, let +.>
；
Will be
Added to granularity data packets in the order of their time stamps and +.>
As new granularity data, at the same time +.>
Marked as a until the data rate is equal to or greater than the standard rate.
The second calculation module is specifically configured to:
sequentially judging L in granularity data packets according to the sequence of time stamps n Whether within a preset normal granularity range;
when L n Within the normal particle size range, L n Marked as e;
when L n When the particle size is not within the normal particle size range, L is n Marked as f;
the data stabilization rate W is:
where sum (e) is the sum of the marks e and G is the total number of marks e and f.
The second correction module is specifically configured to:
when the data stabilization rate is smaller than a preset standard stabilization rate, namely at least one piece of mutation abnormal granularity data marked as f exists, so that the data continuous rate is smaller than the standard continuous rate, and the mutation abnormal granularity data is recorded as
Triggering an alarm at the same time to prompt manual intervention;
is positioned opposite to
Granularity data before the timestamp and marked e is averaged K, let +.>
；
Will be
Added to granularity data packets in the order of their time stamps and +.>
As new granularity data, at the same time +.>
Marked as e until the data stabilization rate is equal to or greater than the standard stabilization rate.
According to the intelligent environment-friendly dust equipment monitoring data processing system, the data continuity rate of the granularity data packets is judged through the continuity of the time stamp by enabling the granularity data collected by the intelligent environment-friendly dust equipment to be attached with the time stamp, and the granularity data in the granularity data packets with the data continuity rate smaller than the standard continuity rate are corrected and supplemented until the data continuity rate is larger than or equal to the standard continuity rate, so that the continuity and the accuracy of the granularity data in the granularity data packets are ensured; judging the data stability rate of the granularity data packet according to the size of the granularity data, correcting and modifying the granularity data in the granularity data packet with the data stability rate smaller than the standard stability rate until the data stability rate is greater than or equal to the standard stability rate, so that the stability and the accuracy of the granularity data in the granularity data packet are ensured; the granularity data packet obtained finally has good continuity, stability and accuracy, provides effective data support for the internal test of the intelligent environment-friendly project, and meets the requirements of modernization and scientization of engineering construction project management.
Example III
In a third embodiment of the present invention, based on the same inventive concept, the present invention provides a computer readable storage medium storing a computer program, which when executed by a processor, implements the steps of the intelligent environmental protection dust-raising equipment monitoring data processing method of the above embodiment.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain or store the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
The memory may include, among other things, mass storage for data or instructions. By way of example, and not limitation, the memory may comprise a Hard Disk Drive (HDD), floppy Disk Drive, solid state Drive (Solid State Drive, SSD), flash memory, optical Disk, magneto-optical Disk, tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. The memory may include removable or non-removable (or fixed) media, where appropriate. The memory may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory is a Non-Volatile (Non-Volatile) memory. In particular embodiments, the Memory includes Read-Only Memory (ROM) and random access Memory (Random Access Memory, RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (Programmable Read-Only Memory, abbreviated PROM), an erasable PROM (Erasable Programmable Read-Only Memory, abbreviated EPROM), an electrically erasable PROM (Electrically Erasable Programmable Read-Only Memory, abbreviated EEPROM), an electrically rewritable ROM (Electrically Alterable Read-Only Memory, abbreviated EAROM), or a FLASH Memory (FLASH), or a combination of two or more of these. The RAM may be Static Random-Access Memory (SRAM) or dynamic Random-Access Memory (Dynamic Random Access Memory DRAM), where the DRAM may be a fast page mode dynamic Random-Access Memory (Fast Page Mode Dynamic Random Access Memory FPMDRAM), extended data output dynamic Random-Access Memory (Extended Date Out Dynamic Random Access Memory EDODRAM), synchronous dynamic Random-Access Memory (Synchronous Dynamic Random-Access Memory SDRAM), or the like, as appropriate.
Example IV
According to a fourth embodiment of the present invention, based on the same inventive concept, a terminal provided by the present invention includes: a processor, a memory; the processor and the memory are communicated with each other; the memory is used for storing instructions; the processor is used for executing the instructions in the memory and executing the intelligent environment-friendly dust equipment monitoring data processing method of the embodiment.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
The above additional technical features can be freely combined and superimposed by a person skilled in the art without conflict.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (10)
1. The intelligent environment-friendly dust equipment monitoring data processing method is characterized by comprising the following steps of:
acquiring granularity data with time stamps monitored by intelligent environment-friendly dust equipment in real time, and arranging the granularity data according to the sequence of the time stamps to generate granularity data packets;
obtaining the data continuous rate of the granularity data packet according to the time stamp of the adjacent granularity data in the granularity data packet;
when the data continuous rate is smaller than a preset standard continuous rate, correcting the granularity data in the granularity data packet to ensure that the data continuous rate is larger than or equal to the standard continuous rate;
obtaining the data stabilization rate of the granularity data packet according to the size of the granularity data in the granularity data packet;
when the data stabilization rate is smaller than a preset standard stabilization rate, correcting the granularity data in the granularity data packet to enable the data stabilization rate to be larger than or equal to the standard stabilization rate.
2. The method for processing intelligent environmental protection dust equipment monitoring data according to claim 1, wherein the step of obtaining the data continuity rate of the granularity data packet according to the time stamp of the adjacent granularity data in the granularity data packet specifically comprises:
setting the granularity data in the granularity data packet to L n With the L n Adjacent granularity data is set as L n+1 The L is n+1 Is time stamped with the L n The time stamps of the adjacent time differences are obtained by subtracting the time stamps of the adjacent time differences;
when the adjacent time difference is equal to a preset data acquisition interval of the intelligent environment-friendly dust raising equipment, the L is set as follows n The L is n+1 Marked as a;
when the adjacent time difference is larger than a preset data acquisition interval of the intelligent environment-friendly dust raising equipment and the adjacent time difference is an integral multiple of the data acquisition interval, recording missing granularity data as
And is said->
Adding a corresponding time stamp while adding said ++>
Marked b; wherein said->
Is the timestamp of L n Adding m times the value of said data acquisition interval to the time stamp of said +.>
Is the mth missing granularity data between the nth granularity data and the n+1th granularity data;
the data continuous rate S is as follows:
where sum (a) is the sum of the marks a and Z is the total number of marks of the marks a and b.
3. The method for processing the monitoring data of the intelligent environment-friendly dust equipment according to claim 2, wherein when the data continuous rate is smaller than a preset standard continuous rate, the step of correcting the granularity data in the granularity data packet to make the data continuous rate equal to or greater than the standard continuous rate specifically comprises:
when the data continuous rate is smaller than a preset standard continuous rate, searching mutation deletion granularity data marked as b, and marking the mutation deletion granularity data as
Triggering an alarm at the same time to prompt manual intervention; wherein said->
Missing granularity data numbered m that results in the data continuity rate being less than the standard continuity rate between the nth granularity data and the n+1th granularity data;
is opposite to and positioned at the
Said granularity data before the timestamp and marked a is averaged J, let +.>
；/>
The said
Added to said granularity data packet in the order of its time stamp and said +.>
As new said granularity data, simultaneously said +.>
Marked as a until the data rate is equal to or greater than the standard rate.
4. The method for processing intelligent environmental protection dust equipment monitoring data according to claim 2, wherein the step of obtaining the data stabilization rate of the granularity data packet according to the size of the granularity data in the granularity data packet specifically comprises:
sequentially judging the L in the granularity data packet according to the sequence of the time stamps n Whether within a preset normal granularity range;
when said L n Within the normal particle size range, the L n Marked as e;
when said L n When the particle size is not within the normal particle size range, the L n Marked as f;
the data stabilization rate W is:
where sum (e) is the sum of the marks e and G is the total number of marks e and f.
5. The method for processing intelligent environmental protection dust equipment monitoring data according to claim 4, wherein when the data stabilization rate is smaller than a preset standard stabilization rate, the step of correcting the granularity data in the granularity data packet to make the data stabilization rate equal to or greater than the standard stabilization rate specifically comprises:
when the data stability rate is smaller than a preset standard stability rate, searching the mutation abnormal granularity data marked as f, and recording the mutation abnormal granularity data as
Triggering an alarm at the same time to prompt manual intervention;
is opposite to and positioned at the
Said granularity data before the timestamp and marked e is averaged K, let +.>
；
The said
Added to said granularity data packet in the order of its time stamp and said +.>
As new said granularity data, simultaneously said +.>
Marked as e until the data stabilization rate is equal to or greater than the standard stabilization rate.
6. An intelligent environmental protection dust equipment monitoring data processing system, characterized in that the system includes:
the acquisition module is used for acquiring the granularity data with the time stamp monitored by the intelligent environment-friendly dust equipment in real time, arranging the granularity data according to the sequence of the time stamp thereof and generating granularity data packets;
the first calculation module is used for obtaining the data continuous rate of the granularity data packet according to the time stamp of the adjacent granularity data in the granularity data packet;
the first correction module is used for correcting the granularity data in the granularity data packet when the data continuous rate is smaller than a preset standard continuous rate so that the data continuous rate is larger than or equal to the standard continuous rate;
the second calculation module is used for obtaining the data stabilization rate of the granularity data packet according to the size of the granularity data in the granularity data packet;
the second correction module is used for correcting the granularity data in the granularity data packet when the data stabilization rate is smaller than a preset standard stabilization rate, so that the data stabilization rate is larger than or equal to the standard stabilization rate.
7. The intelligent environmental protection dust equipment monitoring data processing system of claim 6, wherein the first computing module is specifically configured to:
setting the granularity data in the granularity data packet to L n With the L n Adjacent granularity data is set as L n+1 The L is n+1 Is time stamped with the L n The time stamps of the adjacent time differences are obtained by subtracting the time stamps of the adjacent time differences;
when the adjacent time difference is equal to a preset data acquisition interval of the intelligent environment-friendly dust raising equipment, the L is set as follows n The L is n+1 Marked as a;
when the adjacent time difference is larger than a preset data acquisition interval of the intelligent environment-friendly dust raising equipment and the adjacent time difference is an integral multiple of the data acquisition interval, recording missing granularity data as
And is said->
Adding a corresponding time stamp while adding said ++>
Marked b; wherein said->
Is the timestamp of L n Adding m times the value of said data acquisition interval to the time stamp of said +.>
Is the mth missing granularity data between the nth granularity data and the n+1th granularity data;
the data continuous rate S is as follows:
where sum (a) is the sum of the marks a and Z is the total number of marks of the marks a and b.
8. The intelligent environmental protection dust equipment monitoring data processing system of claim 7, wherein the first correction module is specifically configured to:
when the data continuous rate is smaller than a preset standard continuous rate, searching mutation deletion granularity data marked as b, and marking the mutation deletion granularity data as
Triggering an alarm at the same time to prompt manual intervention; wherein said->
Missing granularity data numbered m that results in the data continuity rate being less than the standard continuity rate between the nth granularity data and the n+1th granularity data;
is opposite to and positioned at the
Said granularity data before the timestamp and marked a is averaged J, let +.>
；
The said
Added to said granularity data packet in the order of its time stamp and said +.>
As new said granularity data, simultaneously said +.>
Marked as a until the data rate is equal to or greater than the standard rate.
9. The intelligent environmental protection dust equipment monitoring data processing system of claim 7, wherein the second computing module is specifically configured to:
sequentially judging the L in the granularity data packet according to the sequence of the time stamps n Whether within a preset normal granularity range;
when said L n Within the normal particle size range, the L n Marked as e;
when said L n When the particle size is not within the normal particle size range, the L n Marked as f;
the data stabilization rate W is:
where sum (e) is the sum of the marks e and G is the total number of marks e and f.
10. The intelligent environmental protection dust equipment monitoring data processing system of claim 9, wherein the second correction module is specifically configured to:
when the data stability rate is smaller than a preset standard stability rate, searching the mutation abnormal granularity data marked as f, and recording the mutation abnormal granularity data as
Triggering an alarm at the same time to prompt manual intervention;
is opposite to and positioned at the
Said granularity data before the timestamp and marked e is averaged KLet->
；
The said
Added to said granularity data packet in the order of its time stamp and said +.>
As new said granularity data, simultaneously said +.>
Marked as e until the data stabilization rate is equal to or greater than the standard stabilization rate. />
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