CN112700064B - Accompanying post-processing method and device for air quality forecast numerical output - Google Patents

Accompanying post-processing method and device for air quality forecast numerical output Download PDF

Info

Publication number
CN112700064B
CN112700064B CN202110047139.1A CN202110047139A CN112700064B CN 112700064 B CN112700064 B CN 112700064B CN 202110047139 A CN202110047139 A CN 202110047139A CN 112700064 B CN112700064 B CN 112700064B
Authority
CN
China
Prior art keywords
air quality
quality forecast
file
size
camx
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110047139.1A
Other languages
Chinese (zh)
Other versions
CN112700064A (en
Inventor
赵江伟
陈焕盛
肖伟
秦东明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
3Clear Technology Co Ltd
Original Assignee
3Clear Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 3Clear Technology Co Ltd filed Critical 3Clear Technology Co Ltd
Priority to CN202110047139.1A priority Critical patent/CN112700064B/en
Publication of CN112700064A publication Critical patent/CN112700064A/en
Application granted granted Critical
Publication of CN112700064B publication Critical patent/CN112700064B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/10—Devices for predicting weather conditions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The invention discloses an accompanying post-processing method and device for outputting an air quality forecast value. The method comprises the following steps: in the process of outputting the air quality forecast numerical value file, comparing the size of the currently output air quality forecast numerical value file of the target geographic area with the size of a preset file; determining whether the currently output air quality forecast numerical file comprises air quality forecast data of a target time interval or not according to the comparison result; and when the currently output air quality forecast numerical file comprises the air quality forecast data in the target time period, performing data post-processing on the air quality forecast data in the target time period. The method and the device realize the accompanying post-processing of the CAMx model, greatly improve the overall operation timeliness, meet the requirement that the forecast result of the first half can be normally processed and used even under the condition that the operation of the second half of the CAMx is abnormal, and improve the availability of the forecast service system based on the CAMx model.

Description

Accompanying post-processing method and device for air quality forecast numerical output
Technical Field
The invention relates to an air quality forecast early warning business operation system, in particular to an accompanying post-processing method and device for outputting an air quality forecast value.
Background
In the prior art, the overall operation timeliness of a numerical forecasting system is improved by a task-level parallel method, but the method mainly aims at the situation that the relevance between parallel tasks is relatively small, and a method for realizing accompanying parallel is not provided for a task scene with certain relevance.
For example, one simulation result file is output every hour in the operation process of the WRFCHEM air quality numerical prediction model, the result file of a single hour is input in a subsequent data processing link, the independence of WRFCHEM mode operation and subsequent hourly data processing tasks is high, accompanying processing can be conveniently realized through a task-level parallel method, and the overall operation timeliness is improved. For the CAMx air quality numerical prediction model, output results of all times are stored in the same file, so that subsequent data processing tasks cannot conveniently judge which time the current CAMx model is predicted to, and certain difficulty is brought to the following post-processing of the CAMx numerical prediction model.
Disclosure of Invention
The invention innovatively provides an accompanying post-processing method and device for outputting an air quality forecast value, so that mode operation and a data processing task are accompanied, and the overall timeliness of a system is improved.
In order to achieve the technical purpose, the invention discloses a concomitant post-processing method for outputting an air quality forecast value. The accompanying post-processing method for outputting the air quality forecast numerical value comprises the following steps: in the process of outputting the air quality forecast numerical value file, comparing the size of the currently output air quality forecast numerical value file of the target geographic area with the size of a preset file; determining whether the currently output air quality forecast numerical file comprises air quality forecast data of a target time interval or not according to the comparison result; and when the currently output air quality forecast numerical file comprises the air quality forecast data in the target time period, performing data post-processing on the air quality forecast data in the target time period.
Further, for the accompanying post-processing method of the air quality forecast value output, the preset file size is S1+ hxs 2, where S1 denotes the size of header information of a CAMx mode output file, S2 denotes the size of air quality forecast data for each period of the CAMx mode output file, and H denotes the sequence number of the air quality forecast data for the target period in the period-by-period air quality forecast data sequence of the CAMx mode output file.
Further, for the accompanying post-processing method of the air quality forecast numerical value output, S1 and S2 are respectively obtained by calculating the size of the header information of the CAMx mode output file of the target geographical area and the size of the air quality forecast data for each period by the fortran program.
Further, for the accompanying post-processing method of the air quality forecast value output, according to the comparison result, determining whether the currently output air quality forecast value file includes the air quality forecast data of the target time period, including: and when the size of the currently output air quality forecast numerical value file is larger than or equal to the preset file size, determining that the currently output air quality forecast numerical value file comprises air quality forecast data in a target time period.
In order to achieve the technical purpose, the invention further discloses a concomitant post-processing device for outputting the air quality forecast value. The accompanying post-processing device for outputting the air quality forecast value comprises: the comparison unit is used for comparing the size of the currently output air quality forecast numerical value file of the target geographic area with the size of a preset file in the output process of the air quality forecast numerical value file; the determining unit is used for determining whether the currently output air quality forecast numerical file comprises air quality forecast data of a target time interval or not according to the comparison result; and the post-processing unit is used for performing data post-processing on the air quality forecast data in the target time interval when the currently output air quality forecast numerical file comprises the air quality forecast data in the target time interval.
Further, for the accompanying post-processing device of the air quality forecast value output, the preset file size is S1+ hxs 2, where S1 denotes the size of the header information of the CAMx mode output file, S2 denotes the size of the air quality forecast data for each period of the CAMx mode output file, and H denotes the sequence number of the air quality forecast data for the target period in the sequence of the air quality forecast data for each period of the CAMx mode output file.
Further, for the accompanying post-processing means of the air quality forecast numerical value output, S1 and S2 are respectively obtained by calculating the size of the header information of the CAMx mode output file of the target geographical area and the size of the air quality forecast data for each period by the fortran program.
Further, for the accompanying post-processing device of the air quality forecast value output, the determining unit is further configured to determine that the currently output air quality forecast value file includes the air quality forecast data of the target time period when the size of the currently output air quality forecast value file is greater than or equal to the preset file size.
To achieve the above technical object, in yet another aspect, the present invention discloses a computing device. The computing device includes: one or more processors, and a memory coupled with the one or more processors, the memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform the above-described method.
To achieve the above technical objects, in yet another aspect, the present invention discloses a machine-readable storage medium. The machine-readable storage medium stores executable instructions that, when executed, cause the machine to perform the above-described method.
The invention has the beneficial effects that:
the method and the device for accompanying post-processing of air quality forecast numerical output, provided by the embodiment of the invention, realize the accompanying post-processing of the CAMx model, greatly improve the overall operation timeliness, meet the requirement that the forecast result of the first half can be normally processed and used even under the condition that the operation of the second half of the CAMx is abnormal, and improve the availability of a forecast service system based on the CAMx mode.
Drawings
In the figure, the position of the upper end of the main shaft,
fig. 1 is a flowchart of a method for accompanying post-processing of an air quality forecast value output provided in embodiment 1 of the present invention;
FIG. 2 is a diagram of an outermost data structure of a CAMx mode output file according to an exemplary embodiment of the present invention;
FIG. 3 is a flow chart of a method for accompanying post-processing of an air quality forecast value output according to embodiment 2 of the present invention;
fig. 4 is a schematic structural diagram of an accompanying post-processing device for outputting an air quality prediction value according to embodiment 3 of the present invention;
fig. 5 is a block diagram of a computing device for output of an air quality forecast value with accompanying post-processing, according to an embodiment of the present invention.
Detailed Description
The following explains and explains the accompanying post-processing method and device for outputting the air quality forecast numerical value provided by the present invention in detail with reference to the drawings of the specification.
Fig. 1 is a flowchart of a method for accompanying post-processing of an air quality forecast value output according to embodiment 1 of the present invention.
As shown in fig. 1, in the step S110, in the process of outputting the air quality forecast value file, the size of the currently output air quality forecast value file of the target geographical area is compared with the preset file size.
As an embodiment, the preset file size may be S1+ hxs 2, where S1 denotes a size of header information of the CAMx mode output file, S2 denotes a size of air quality forecast data for each period of the CAMx mode output file, H denotes a sequence number of the air quality forecast data for a target period in the period-by-period air quality forecast data sequence of the CAMx mode output file, H is an integer, such as 1,2,3, …, n, an initial value of H may be 1, and a maximum value of H is a total number of periods in the period-by-period air quality forecast data sequence of the CAMx mode output file. Wherein, S1 and S2 can be obtained by calculating the size of the header information of the CAMx mode output file of the target geographical area and the size of the air quality forecast data of each time period through the fortran program, respectively. Wherein the period of time may be 1 hour.
The output file of the CAMx mode is traditionally processed by a city Air source area mode (UAM), and binary and text formats are mixed in the same result file. The structural characteristics of the CAMx mode output file are analyzed, as shown in fig. 2, the outer layer structural formula file of the CAMx mode output file comprises header information and hourly forecast results, and the header information part and the hourly data interior have own structures. By utilizing the characteristics of the data structure and combining the CAMx head information structure, the storage use size of the head information part and the hourly air quality forecast data part under the specific geographic area setting can be calculated through a fortran program. For different geographical areas, the head information and hourly air quality forecast data storage occupy different size parameters; for the same geographical area. The data size corresponding to the air quality forecast result is the same every hour. And then a CSHELL script can be written, which hour is currently predicted by the CAMx mode is judged according to the relation between the size of the current CAMx mode output file and the two parameters of the obtained header information and the hourly air quality prediction data, and a subsequent corresponding data processing task can be carried out on the output data of the predicted hour, so that the output operation of the CAMx mode data and the accompanying parallel function of the hourly air quality prediction data post-processing task are realized.
In step S120, it is determined whether the currently output air quality forecast numerical file includes air quality forecast data for a target time period, according to the comparison result.
More specifically, step S120 may include the steps of: and when the size of the currently output air quality forecast numerical value file is larger than or equal to the size of the preset file, determining that the currently output air quality forecast numerical value file comprises air quality forecast data in a target time period.
In step S130, when the currently output air quality forecast numerical file includes the air quality forecast data for the target time period, the air quality forecast data for the target time period is subjected to data post-processing. The identification and data post-processing of the air quality forecast data of the target time interval can refer to the identification and post-processing technology of the air quality forecast data of each time interval in the existing CAMx mode output file.
Fig. 3 is a flowchart of a method for accompanying post-processing of an air quality forecast value output according to embodiment 2 of the present invention.
As shown in fig. 3, in step S310, it is determined whether the post-processing task of the air quality forecast data for the target period H has been completed. If not, the flow proceeds to step S320. If the post-processing task of the air quality forecast data for the target period H has been completed, the flow proceeds to step S350.
In step S320, the output file size ST of the current CAMx mode is obtained.
In step S330, it is determined whether ST ≧ S1+ H × S2. Where S1 denotes the size of the header information of the CAMx mode output file, S2 denotes the size of the air quality forecast data for each period of the CAMx mode output file, H denotes the serial number of the air quality forecast data for the target period in the period-by-period air quality forecast data sequence of the CAMx mode output file, H is an integer, such as 1,2,3, …, n, the initial value of H may be 1, and the maximum value of H is the total number of periods in the period-by-period air quality forecast data sequence of the CAMx mode output file. If ST ≧ S1+ H × S2, it is determined that the currently-output air quality forecast numerical file includes the air quality forecast data for the target period, the flow proceeds to step S340. Otherwise, the flow advances to step S360.
In step S340, the air quality forecast data for the target period H is post-processed.
In step S350, H ═ H +1, and the next loop flow is entered.
In step S360, the process enters the next cycle after waiting for a preset duration. The preset time duration can be the time required by the output file of the CAMx mode to output the air quality forecast data in a period of time.
Fig. 4 is a schematic structural diagram of an accompanying post-processing device for outputting an air quality prediction value according to embodiment 3 of the present invention. As shown in fig. 4, the accompanying post-processing device 400 for outputting an air quality forecast value provided by this embodiment includes a comparison unit 410, a determination unit 420, and a post-processing unit 430.
The comparing unit 410 is configured to compare the size of the currently output air quality forecast value file of the target geographic area with the size of a preset file in the process of outputting the air quality forecast value file. As an alternative embodiment, the preset file size is S1+ hxs 2, where S1 denotes the size of the header information of the CAMx mode output file, S2 denotes the size of the air quality forecast data for each period of the CAMx mode output file, H denotes the serial number of the output data of the target period in the air quality forecast data sequence of each period of the CAMx mode output file, H is an integer, such as 1,2,3, …, n, H may have an initial value of 1, and the maximum value of H is the total number of periods in the air quality forecast data sequence of each period of the CAMx mode output file. Wherein, S1 and S2 may be obtained by calculating the size of the header information of the CAMx mode output file of the target geographical area and the size of the air quality forecast data for each period through the fortran program, respectively.
The determining unit 420 is configured to determine whether the currently output air quality forecast numerical file includes air quality forecast data for a target time period according to the comparison result. As an alternative embodiment, the determining unit may be further configured to determine that the currently output air quality forecast numerical file includes air quality forecast data for a target period when the size of the currently output air quality forecast numerical file is greater than or equal to a preset file size.
The post-processing unit 430 is configured to perform data post-processing on the air quality forecast data in the target time period when the currently output air quality forecast numerical file includes the air quality forecast data in the target time period.
According to the method and the device for accompanying post-processing of air quality forecast numerical output, provided by the embodiment of the invention, by analyzing the output data structure of the CAMx air quality numerical forecast mode, a tool for accompanying operation of a main mode and a data post-processing task of the model is developed, so that the accompanying post-processing of the CAMx model is realized, the overall operation timeliness is greatly improved, the situation that the forecast result of the first half section can be normally processed and used even under the condition that the operation of the second half section of the CAMx is abnormal is met, and the availability of a forecast service system based on the CAMx mode is improved.
Fig. 5 is a block diagram of a computing device for output of an air quality forecast value with accompanying post-processing, according to an embodiment of the present invention.
As shown in fig. 5, computing device 500 may include at least one processor 510, memory 520, memory 530, communication interface 540, and internal bus 550, and at least one processor 510, memory 520, memory 530, and communication interface 540 are connected together via bus 550. The at least one processor 510 executes at least one computer-readable instruction (i.e., an element described above as being implemented in software) stored or encoded in a computer-readable storage medium (i.e., memory 520).
In one embodiment, computer-executable instructions are stored in the memory 520 that, when executed, cause the at least one processor 510 to perform: in the process of outputting the air quality forecast numerical value file, comparing the size of the currently output air quality forecast numerical value file of the target geographic area with the size of a preset file; determining whether the currently output air quality forecast numerical file comprises air quality forecast data of a target time interval or not according to the comparison result; and when the currently output air quality forecast numerical file comprises the air quality forecast data in the target time period, performing data post-processing on the air quality forecast data in the target time period.
It should be understood that the computer-executable instructions stored in the memory 520, when executed, cause the at least one processor 510 to perform the various operations and functions described above in connection with fig. 1-4 in the various embodiments of the present disclosure.
In the present disclosure, computing device 500 may include, but is not limited to: personal computers, server computers, workstations, desktop computers, laptop computers, notebook computers, mobile computing devices, smart phones, tablet computers, cellular phones, Personal Digital Assistants (PDAs), handheld devices, messaging devices, wearable computing devices, consumer electronics, and so forth.
According to one embodiment, a program product, such as a non-transitory machine-readable medium, is provided. A non-transitory machine-readable medium may have instructions (i.e., elements described above as being implemented in software) that, when executed by a machine, cause the machine to perform various operations and functions described above in connection with fig. 1-4 in various embodiments of the present disclosure.
Specifically, a system or apparatus may be provided which is provided with a readable storage medium on which software program code implementing the functions of any of the above embodiments is stored, and causes a computer or processor of the system or apparatus to read out and execute instructions stored in the readable storage medium.
In this case, the program code itself read from the readable medium can realize the functions of any of the above-described embodiments, and thus the machine-readable code and the readable storage medium storing the machine-readable code form part of the present invention.
Examples of the readable storage medium include floppy disks, hard disks, magneto-optical disks, optical disks (e.g., CD-ROMs, CD-R, CD-RWs, DVD-ROMs, DVD-RAMs, DVD-RWs), magnetic tapes, nonvolatile memory cards, and ROMs. Alternatively, the program code may be downloaded from a server computer or from the cloud via a communications network.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the claims, and all equivalent structures or equivalent processes that are transformed by the content of the specification and the drawings, or directly or indirectly applied to other related technical fields are included in the scope of the claims.

Claims (8)

1. An accompanying post-processing method for air quality forecast numerical output is characterized by comprising the following steps:
in the process of outputting the air quality forecast numerical value file, comparing the size of the currently output air quality forecast numerical value file of the target geographic area with the size of a preset file;
determining whether the currently output air quality forecast numerical file comprises air quality forecast data of a target time interval or not according to the comparison result;
when the currently output air quality forecast numerical file comprises air quality forecast data in a target time period, performing data post-processing on the air quality forecast data in the target time period;
the preset file size is S1+ hxs 2, where S1 denotes a size of header information of the CAMx mode output file, S2 denotes a size of air quality forecast data for each period of the CAMx mode output file, H denotes a serial number of the air quality forecast data for the target period in the period-by-period air quality forecast data sequence of the CAMx mode output file, and a maximum value of H is a total number of periods in the period-by-period air quality forecast data sequence of the CAMx mode output file.
2. The accompanying post-processing method for air quality forecast numerical output according to claim 1, wherein S1 and S2 are obtained by calculating the size of header information of a CAMx mode output file of said target geographical area and the size of air quality forecast data for each time period by a fortran program, respectively.
3. The accompanying post-processing method of an air quality forecast numerical output according to any of claims 1-2, wherein determining whether or not a currently output air quality forecast numerical file includes air quality forecast data for a target time period according to a result of the comparison includes:
and when the size of the currently output air quality forecast numerical value file is larger than or equal to the preset file size, determining that the currently output air quality forecast numerical value file comprises air quality forecast data in a target time period.
4. An accompanying post-processing device for outputting an air quality forecast value, comprising:
the comparison unit is used for comparing the size of the currently output air quality forecast numerical value file of the target geographic area with the size of a preset file in the output process of the air quality forecast numerical value file;
the determining unit is used for determining whether the currently output air quality forecast numerical file comprises air quality forecast data of a target time interval or not according to the comparison result;
the post-processing unit is used for performing data post-processing on the air quality forecast data in the target time interval when the currently output air quality forecast numerical file comprises the air quality forecast data in the target time interval;
the preset file size is S1+ hxs 2,
wherein S1 represents the size of the header information of the CAMx mode output file, S2 represents the size of the air quality forecast data for each period of the CAMx mode output file, H represents the sequence number of the air quality forecast data for the target period in the period-by-period air quality forecast data sequence of the CAMx mode output file, and the maximum value of H is the total number of periods in the period-by-period air quality forecast data sequence of the CAMx mode output file.
5. The accompanying post-processing device for air quality forecast numerical output according to claim 4, wherein S1 and S2 are respectively obtained by calculating the size of header information of a CAMx mode output file of said target geographical area and the size of air quality forecast data at each time period by a fortran program.
6. The accompanying post-processing device of an air quality forecast numerical output according to any of claims 4-5, wherein said determining unit is further configured to determine that the currently output air quality forecast numerical file includes air quality forecast data for a target time period when the size of the currently output air quality forecast numerical file is greater than or equal to the preset file size.
7. A computing device, comprising:
one or more processors, and
a memory coupled with the one or more processors, the memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-3.
8. A machine-readable storage medium having stored thereon executable instructions that, when executed, cause the machine to perform the method of any one of claims 1 to 3.
CN202110047139.1A 2021-01-14 2021-01-14 Accompanying post-processing method and device for air quality forecast numerical output Active CN112700064B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110047139.1A CN112700064B (en) 2021-01-14 2021-01-14 Accompanying post-processing method and device for air quality forecast numerical output

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110047139.1A CN112700064B (en) 2021-01-14 2021-01-14 Accompanying post-processing method and device for air quality forecast numerical output

Publications (2)

Publication Number Publication Date
CN112700064A CN112700064A (en) 2021-04-23
CN112700064B true CN112700064B (en) 2022-01-28

Family

ID=75514660

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110047139.1A Active CN112700064B (en) 2021-01-14 2021-01-14 Accompanying post-processing method and device for air quality forecast numerical output

Country Status (1)

Country Link
CN (1) CN112700064B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114090266B (en) * 2021-12-01 2022-12-09 中科三清科技有限公司 Air quality forecast generation method and device
CN114999079A (en) * 2022-06-21 2022-09-02 湖南省生态环境监测中心 Accompanying post-processing method and device for air quality forecast numerical output

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06314220A (en) * 1993-04-30 1994-11-08 Fujitsu Ltd Retrieval method for update start point of data accumulation file
US10444211B2 (en) * 2015-12-28 2019-10-15 International Business Machines Corporation Integrated air quality forecasting
CN110489836B (en) * 2019-08-07 2023-01-24 成都市环境保护科学研究院 Pre-driven medium-and-long-term air quality forecasting system and method
CN112069141A (en) * 2020-08-25 2020-12-11 广东华风海洋信息系统服务有限公司 Special compression method for meteorological forecast lattice point data

Also Published As

Publication number Publication date
CN112700064A (en) 2021-04-23

Similar Documents

Publication Publication Date Title
CN112700064B (en) Accompanying post-processing method and device for air quality forecast numerical output
CN107798108B (en) Asynchronous task query method and device
CN107733967B (en) Processing method and device for push information, computer equipment and storage medium
US20230185702A1 (en) Method and Apparatus for Generating and Applying Deep Learning Model based on Deep Learning Framework
CN104616086A (en) Method and equipment used for dynamically setting buffer time of order
CN111464352A (en) Call link data processing method and device
CN112506581A (en) Method and device for rendering small program, electronic equipment and readable storage medium
CN113657634A (en) Bank branch queuing waiting time prediction method and device
CN110688581A (en) Information real-time pushing method and device, computing equipment and medium
CN113205189A (en) Prediction model training method, prediction method and prediction device
US9671779B2 (en) Method and system for filtering lot schedules using a previous schedule
CN103577299A (en) Monitoring method and device, data processing method and device, and distributed computing system
CN115729824A (en) Script testing method, device, equipment and storage medium
CN114445682A (en) Method, device, electronic equipment, storage medium and product for training model
CN115329143A (en) Directed acyclic graph evaluation method, device, equipment and storage medium
WO2021169110A1 (en) Transportation route generation method, apparatus, computer device, and storage medium
CN110532304B (en) Data processing method and device, computer readable storage medium and electronic device
CN114297380A (en) Data processing method, device, equipment and storage medium
CN113742187A (en) Capacity prediction method, device, equipment and storage medium of application system
CN113312272B (en) Method and device for analyzing algorithm program data
CN114791996B (en) Information processing method, device, system, electronic equipment and storage medium
CN116629810B (en) Operation recommendation method, device, equipment and medium based on building office system
CN114841267B (en) Real-time prediction method, device, electronic equipment and computer program product
CN113093702B (en) Fault data prediction method and device, electronic equipment and storage medium
US11899552B2 (en) Estimation device, estimation method and estimation program

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant