CN117951539A - Method for generating different building carbon emission reports for different objects - Google Patents

Abstract

The invention discloses a method for generating different building carbon emission reports aiming at different objects, which comprises the following steps: step a: establishing different report templates for different objects, and associating and storing the objects and the report templates; step b: inputting object information, and performing similarity matching in the stored objects; if the matching result is that the existing similar object is matched, directly outputting an associated report template of the existing similar object, and entering the step c; if the similar objects are not matched, returning to the step a; step c: waiting for an instruction for confirming whether the current report template is selected; d, when the selection is confirmed, outputting the current report template as a report template which is finally generated, and entering the step d; and (c) returning to the step (a) when the selection is confirmed; step d: and inputting the carbon emission data into a report template finally generated to generate a carbon emission report. The data of the building carbon emission needs to be checked in real time and counted in real time, so that different types of reports and reports can be generated aiming at different standard specifications, projects and enterprises.

Description

Method for generating different building carbon emission reports for different objects

Technical Field

The present invention relates to the field of architectural carbon emission statistics, and more particularly, to a method of generating different architectural carbon emission reports for different objects.

Background

Big data refer to information which is huge in the size of the related data and cannot reach the positive purpose of helping business decision in reasonable time through a mainstream software tool, artificial intelligence is a branch of computer science, it is intended to know the essence of intelligence and produce a new intelligent machine which can react in a similar way to human intelligence, in carbon emission operation, the carbon emission is generally analyzed through connecting big data calculation and then through artificial intelligence, but in the analysis process, the data is generally transacted through the carbon emission of the past period or the actual emission of the present year, the limitation of transaction is caused, the insufficient carbon emission affects the productivity of enterprises, and in report generation, the report is generally printed through a printer, then through artificial binding of report files, the retention of files is carried out, the artificial binding may cause the report to be irregular, the effect is affected after printing, and therefore, a report generation method based on big data and artificial intelligence is proposed.

However, the carbon emission analysis report generated by the existing method is unique and invariable, the requirements of companies and projects on report contents are different under different organization structures, and different specifications exist, so how to consider the requirements of different organization structures in the process of generating the report and generate the report template meeting different objects is important.

Disclosure of Invention

In order to solve the problems existing or potential in the prior art, the invention provides a method for generating different building carbon emission reports aiming at different objects, and real-time checking and real-time statistics are needed for building carbon emission data, so that different types of reports and reports can be generated aiming at different standard specifications, projects and enterprises.

In order to achieve the above purpose, the present invention provides the following technical solutions:

In a first aspect, the present invention provides a method of generating different architectural carbon emission reports for different objects, comprising the steps of:

Step a: establishing different carbon emission report templates aiming at different input objects, and associating and storing information of the objects and the corresponding report templates;

Step b: inputting object information, and performing similarity matching in the stored object information;

If the matching is carried out on the existing similar objects, directly outputting the associated report templates of the existing similar objects for viewing and selection, and entering the step c;

if the similar object is not matched, returning to the step a, and newly creating a report template associated with the input object;

Step c: waiting for an instruction for confirming whether the current report template is selected;

D, when the instruction for confirming the selection is obtained, outputting the current report template as a report template which is finally generated, and entering a step d;

when the instruction for confirming the non-selection is obtained, returning to the step a, and re-editing the report template;

step d: and inputting the carbon emission data into a report template finally generated to generate a carbon emission report.

Optionally, the object comprises an item or company created in an organizational architecture.

Optionally, the similarity matching adopts an NLP technology, and when the similarity between the input object information and the stored object information reaches a set height, the input object information is defaulted to be the same type of object.

Optionally, the object information includes at least one of identity information, function information, authority information, or a combination of several kinds.

Optionally, when the report templates are built, a selection frequency field is given to each report template, the selection frequency is increased by one every time the report template is selected, and when the same object has a plurality of associated report templates, the report template with high cumulative selection frequency is preferably output.

Optionally, when the report template is established, recording the new time, and setting the iteration logic: when the same object has a plurality of associated report templates and a report template with a difference value between the newly built time and the current time exceeding a set extremum exists in the report templates, the report templates are automatically deleted.

In a second aspect, the present invention provides a non-volatile storage medium, where the non-volatile storage medium includes a stored program, where the program, when executed, controls a device in which the non-volatile storage medium is located to perform the method of generating different architectural carbon emission reports for different objects as described in any one of the above.

In a third aspect, the present invention provides an electronic device comprising one or more processors and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of generating different architectural carbon emission reports for different objects as described in any of the preceding claims.

By adopting the technical scheme, the invention has the following beneficial effects:

1) Different building carbon emission calculation (accounting) reports or reports can be generated aiming at different objects such as companies or projects in the enterprise organization architecture, and the method is very flexible;

2) The requirements that different management personnel need to check company-level or project-level reports or reports are met;

3) The report or report configuration method can be flexibly configured according to specific business scenes or organization architecture, and the maximum number of report templates is not limited;

4) The software platform has a self-learning function, can automatically optimize the derived report function, and is more convenient and humanized to use.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the technical aspects of the invention,

FIG. 1 is a flow chart of a method of generating different architectural carbon emission reports for different subjects according to an embodiment of the present invention.

Fig. 2 is a block diagram of an electronic device according to an embodiment of the invention.

Detailed Description

Various exemplary embodiments, features and aspects of the invention will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, may mean including any one or more elements selected from the group consisting of A, B and C.

Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better illustration of the invention.

It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details. In some instances, well known methods, procedures, components, and circuits have not been described in detail so as not to obscure the present invention.

Aiming at the problems in the background art, the invention provides a self-checking management method for building carbon emission data based on a multi-level organization architecture, which can improve the processing efficiency and flexibility of the approval process and simultaneously ensure the reliability of the approval process and avoid the occurrence of missed or multi-examination conditions compared with the traditional enterprise approval process.

FIG. 1 illustrates a flow chart of a method of generating different architectural carbon emission reports for different objects, as shown in FIG. 1, according to an embodiment of the invention, the method comprising:

Step a: establishing different carbon emission report templates aiming at different input objects, and associating and storing information of the objects and the corresponding report templates;

Step b: inputting object information, and performing similarity matching in the stored object information;

If the matching is carried out on the existing similar objects, directly outputting the associated report templates of the existing similar objects for viewing and selection, and entering the step c;

if the similar object is not matched, returning to the step a, and newly creating a report template associated with the input object;

Step c: waiting for an instruction for confirming whether the current report template is selected;

D, when the instruction for confirming the selection is obtained, outputting the current report template as a report template which is finally generated, and entering a step d;

when the instruction for confirming the non-selection is obtained, returning to the step a, and re-editing the report template;

step d: and inputting the carbon emission data into a report template finally generated to generate a carbon emission report.

Further, the object comprises an item or a company created in the organization architecture, and when the organization architecture is created, whether the created organization is the item or the company can be identified by marking the identity of the object in the object information. The method can adopt means based on big data, artificial intelligence and the like to generate a dedicated report template conforming to each type of object, and an association relationship is established between each object and the corresponding generated report template, and information association can be carried out by establishing an Excel table and the information association is stored in a database. Wherein, different report templates can be planned and designed according to the types of emission sources (namely carbon emission factors) in different objects, which belongs to the prior art, for example, chinese patent ZL 202211125317.9 discloses a carbon emission analysis report generation method based on big data and artificial intelligence, and specifically discloses the following steps: s1, identifying an emission source; s2, estimating carbon emission data; s3, actually calculating the carbon emission; s4, generating a carbon emission analysis report: and comparing the estimated amount of the carbon discharge in the step S2 with the actual carbon discharge in the step S3, recording the compared data, sheathing the data into a standard report template, automatically generating an analysis report, and printing out the report for storage by a printing device aiming at the analysis report. In short, the construction of report templates for different objects can be achieved by various means.

Furthermore, the similarity matching can adopt NLP technology or Excel data fuzzy matching, and the input object information can comprise at least one or a combination of a plurality of identity information, function information and authority information. Formats include text, numbers, symbols, and the like. When the similarity between the input object information and the stored object information reaches the set height, the object with the same type is defaulted, and when the information of the object is input again, the object with the same type can be directly judged to be the stored object.

Further, when the report templates are established, a selection frequency field can be given to each report template, the selection frequency is increased by one every time the report template is selected, and when the same object has a plurality of associated report templates, the report template with high cumulative selection frequency is preferably output. This is because the same object may need different report templates at different times, so that multiple report templates associated with the same object may be created for the same object, the creation times of the report templates are different, and the template contents are slightly different, but all are constructed based on the same carbon emission factor, so that the report templates can be different report templates of the same object. When the object information is input or the object is judged by the similarity, the system outputs all the related report templates, and the report templates are required to be ordered, and the times of selecting (checking or downloading) each report template can be obtained through checking the selected times field of each report template, the times of selecting (checking or downloading) each report template are arranged in front (or in the obvious position), the times of selecting (or in the corner) are arranged in the back, if the selected times are the same, the judgment is made on which template has closer creation time, the template is updated, and the template with closer creation time is displayed in preference to the earlier template.

In addition, when the report template is established, the new time is recorded, and the iteration logic is set: when the same object has a plurality of associated report templates and a report template with a difference value between the newly built time and the current time exceeding a set extremum exists in the report templates, the report templates are automatically deleted. Therefore, some objects can be created earlier, but templates with frequency intersection (almost no longer) are selected to be deleted from the system memory, the memory is released, the retrieval time can be shortened, and the system runs faster.

Example 1:

The embodiment of the invention mainly sets templates of a plurality of reports or reports according to different organization structures in a software platform, when carbon emission data is exported, the software platform can identify whether a company or a project is selected according to the organization structures to call the carbon emission data templates created according to different specifications to export corresponding data, the software platform has a self-learning function, the software can export the project or the number of times of carbon emission reports of the company according to a user, the field of the number of times of downloading in a database is used in the background, the software preferentially displays the project and the company with more downloading and checking times through a machine learning technology means, and can sort the carbon emission report templates of the company and the project respectively according to different template numbers of the user through the machine learning technology means, and when the project or the carbon emission report of the company is exported in the later stage, the software platform automatically selects templates with high use frequency according to the company and the project respectively, and the user does not need to select templates in addition.

The core steps are as follows:

(1) An item or company is created in an organization architecture, and the organization explicitly created at the time of creation is either the item or the company.

(2) The report template editing module in the system management edits two different modules according to the project level and the company level, and the concrete content of the company level template mainly comprises: the method mainly comprises the following steps of enterprise introduction, calculation basis, calculation method, enterprise project building materials, construction, operation, dismantling, carbon sequestration accounting, enterprise carbon emission calculation result summarization and the like, wherein the project-level template mainly comprises the following specific contents: project brief introduction, calculation requirement, calculation method, project building materials, construction, operation, dismantling, carbon collection amount accounting, project carbon emission calculation result summarization and the like.

(3) And in the carbon emission data report export module, according to a preconfigured report template, a company-level template is called to export an enterprise-level report when a company is selected in the organization architecture, and a project-level template is called to export a project-level report when a project is selected.

(4) Templates generated according to different specifications can be selected under different organization architectures, and the template bottom layer is created according to different carbon emission factors.

Compared with the prior art, the invention has the following beneficial effects:

1) Different architectural carbon emission calculation (accounting) reports or statements can be generated for a company or project, which is very flexible.

2) The requirements that different management personnel need to check company-level or project-level reports or reports are met.

3) The report or report configuration method can be flexibly configured according to specific business scenes or organization architecture, and the maximum number of report templates is not limited.

4) The software platform has a self-learning function, can automatically optimize the derived report function, and is more convenient and humanized to use.

Fig. 2 shows a block diagram of an electronic device 1900 according to an embodiment of the invention. For example, electronic device 1900 may be provided as a server. Referring to FIG. 2, electronic device 1900 includes a processing unit 1922 that further includes one or more processors and memory resources represented by a storage unit 1932 for storing instructions, such as application programs, that can be executed by processing unit 1922. The application programs stored in storage unit 1932 may include one or more modules each corresponding to a set of instructions. Further, the processing unit 1922 is configured to execute instructions to perform the method of generating different architectural carbon emission reports for different objects described above.

The electronic device 1900 may also include a power module 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an I/O interface 1958. The electronic device 1900 may operate based on an operating system stored in memory 1932, such as WindowsServerTM, mac OS XTM, unixTM, linuxTM, freeBSDTM, or the like.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as a storage unit 1932, comprising computer program instructions executable by the processing unit 1922 of the electronic device 1900 to perform the above-described method of generating different architectural carbon emission reports for different objects.

The present invention may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present invention.

The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.

The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.

Computer program instructions for carrying out operations of the present invention may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as SMALLTALK, C ++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for computer readable program instructions, which can execute the computer readable program instructions.

Various aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The computer program product may be realized in particular by means of hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied as a computer storage medium, and in another alternative embodiment, the computer program product is embodied as a software product, such as a software development kit (Software Development Kit, SDK), or the like.

The foregoing description of embodiments of the invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (8)

1. A method of generating different architectural carbon emission reports for different objects, comprising the steps of:

Step a: establishing different carbon emission report templates aiming at different input objects, and associating and storing information of the objects and the corresponding report templates;

Step b: inputting object information, and performing similarity matching in the stored object information;

If the matching is carried out on the existing similar objects, directly outputting the associated report templates of the existing similar objects for viewing and selection, and entering the step c;

if the similar object is not matched, returning to the step a, and newly creating a report template associated with the input object;

Step c: waiting for an instruction for confirming whether the current report template is selected;

D, when the instruction for confirming the selection is obtained, outputting the current report template as a report template which is finally generated, and entering a step d;

when the instruction for confirming the non-selection is obtained, returning to the step a, and re-editing the report template;

step d: and inputting the carbon emission data into a report template finally generated to generate a carbon emission report.

2. The method of generating different architectural carbon emission reports for different objects according to claim 1, wherein said objects comprise projects or companies created in an organizational structure.

3. The method for generating different architectural carbon emission reports for different objects according to claim 1, wherein said similarity matching employs NLP technique, and defaults to the same type of object when the similarity of the input object information and the stored object information reaches a set height.

4. The method of generating different architectural carbon emission reports for different objects according to claim 1, wherein said object information comprises at least one of identity information, function information, rights information or a combination of several.

5. The method of generating different building carbon emission reports for different objects according to claim 1, wherein a number of times of selection field is assigned to each report template when the report template is established, the number of times of selection is increased by one each time of selection, and when the same object has a plurality of associated report templates, the report template with a high cumulative number of times of selection is preferably output.

6. The method of generating different architectural carbon emission reports for different objects according to claim 5, wherein when the report template is established, recording new time, setting up iterative logic: when the same object has a plurality of associated report templates and a report template with a difference value between the newly built time and the current time exceeding a set extremum exists in the report templates, the report templates are automatically deleted.

7. A non-volatile storage medium, characterized in that the non-volatile storage medium comprises a stored program, wherein the device in which the non-volatile storage medium is controlled to perform the method of generating different architectural carbon emission reports for different objects according to any one of claims 1-6 when the program is run.

8. An electronic device comprising one or more processors and memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of generating different architectural carbon emission reports for different objects of any of claims 1-6.