Technical economic quantitative evaluation method, device, equipment and medium based on sludge drying incineration digital platform

Abstract

The invention discloses a technical economic quantitative evaluation method based on a sludge drying incineration digital platform. The method comprises the following steps: S1, determining operation evaluation indexes of sludge treatment of drying incineration; s2, evaluating a benchmark value of each operation evaluation index; s3, dividing the operation evaluation indexes into quantitative indexes and qualitative indexes according to attributes, adopting different assignment methods, and performing normalization processing; and S4, determining a weight value of each operation evaluation index through an analytic hierarchy process, and calculating a comprehensive score. According to the method, the optimization space in process operation is disclosed by analyzing key indexes of three major aspects of technology, economy and environment and identifying the advantages and shortages of the process, and guidance is provided for improvement and optimization, so that the efficiency is improved and the cost is reduced.

Description

Technical Field

[0001] The present invention relates to sludge treatment technology, and more specifically, to a technical and economic quantitative evaluation method, device, equipment and medium based on a sludge drying and incineration digital platform. Background Art

[0002] Existing technical and economic quantitative evaluation methods mainly focus on economic analysis of various technical links in the sludge treatment process to determine the economic efficiency and cost-effectiveness of the process. This method relies heavily on manual work, historical charts and accurate input data, including the nature of sludge, energy prices, equipment efficiency, etc. Inaccurate data may lead to biased evaluation results. In addition, the evaluated indicators focus too much on direct economic costs and benefits, while ignoring environmental externalities, such as dioxin emissions, greenhouse gas emissions, and other long-term impacts on the environment and society. Sludge drying and incineration projects may be affected by public acceptance and environmental risks, and these social factors are often difficult to quantify in economic evaluations. Summary of the invention

[0003] In view of the defects existing in the prior art, the purpose of the present invention is to provide a technical and economic quantitative evaluation method, device, equipment and medium based on a digital platform for sludge drying and incineration. By analyzing the key indicators at the three levels of technology, economy and environment, the advantages and shortcomings of the process are identified, the optimization space in the process operation is revealed, and guidance is provided for improvement and optimization to improve efficiency and reduce costs.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] The present invention provides a technical and economic quantitative evaluation method based on a sludge drying and incineration digital platform, comprising the following steps:

[0006] S1, determine the operational evaluation indicators for sludge disposal by drying and incineration;

[0007] S2, evaluating the benchmark value of each of the operation evaluation indicators;

[0008] S3, dividing the operation evaluation index into quantitative index and qualitative index according to the attribute, using different value assignment methods, and performing normalization processing;

[0009] S4, determining the weight value of each of the operation evaluation indicators through the hierarchical analysis method, and calculating the comprehensive score.

[0010] Preferably, the operation evaluation index includes technical index A1, economic index A2 and environmental index A3.

[0011] Preferably, the technical indicator A1 includes:

[0012] Functional indicator B1, used to characterize the technical use of the evaluation object;

[0013] Performance indicator B2 is used to characterize the nature and utility of the evaluation object.

[0014] Preferably, the economic indicator A2 includes:

[0015] Cost indicator B3, used to characterize the basic economic attributes of investment and operation;

[0016] The performance index B4 is used to characterize the overall efficiency and energy utilization of the system.

[0017] Preferably, the environmental indicator A3 includes:

[0018] Emission index B5 is used to characterize the compliance of tail gas produced after incineration and identify the optimization direction of secondary pollution control based on compliance with emission standards;

[0019] Risk indicator B6 is used to measure the potential environmental risks that may be caused by the treatment process itself and the treated products after leaving the factory, in addition to the secondary pollution control indicators with clear requirements.

[0020] Preferably, the step S3 specifically includes:

[0021] For quantitative indicators, the benchmark values ​​of quantitative indicators are extracted from the database of the sludge drying and incineration digital platform, and then the value of the indicator of the evaluation object is obtained through the normalization algorithm. The specific calculation is as follows:

[0022]

[0023] In the formula, F ij represents the result of assigning the value of the jth evaluation object to the i-th indicator, C ij represents the initial value of the jth evaluation object at the i-th indicator, S i Indicates the benchmark value of the ith indicator, Min i Represents the worst value of the i-th indicator.

[0024] The present invention also provides a technical and economic quantitative evaluation device based on a sludge drying and incineration digital platform, comprising:

[0025] Model building module, used to construct a twin physical model of the sludge drying and incineration process;

[0026] A solution strategy setting unit guides the process operation through the prediction results of the twin physical model of the sludge drying and incineration process, and establishes an energy efficiency evaluation and operation evaluation model for the equipment in each process section;

[0027] The model application unit obtains the advantages and disadvantages of the sludge treatment process through the energy efficiency evaluation and operation evaluation model of the equipment in each process section, and reveals the optimization space in the process operation.

[0028] The present invention further provides an electronic device, comprising:

[0029] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the technical and economic quantitative evaluation method based on the sludge drying and incineration digital platform of the present invention.

[0030] The present invention also provides a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable a processor to implement the technical and economic quantitative evaluation method based on the sludge drying and incineration digital platform of the present invention when executed.

[0031] The present invention also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the technical and economic quantitative evaluation method based on the sludge drying and incineration digital platform according to the present invention.

[0032] The present invention provides a technical and economic quantitative evaluation method, device, equipment and medium based on a digital platform for sludge drying and incineration, establishes an evaluation index system including three dimensions of technology, economy and environment, and comprehensively and automatically analyzes the performance of the sludge drying and incineration process based on the large database of the digital platform for sludge drying and incineration, identifies the advantages and shortcomings of the process in real time, reveals the optimization space in the process operation, and provides guidance for improvement and optimization to improve efficiency and reduce costs. It can be compatible with a variety of software and hardware systems; it can be applicable to a variety of terminals and platforms in a localized environment, and has excellent stability and reliability. At the same time, it can provide technical support and basis for the intelligent improvement of similar domestic sludge treatment projects. At the same time, it enables decision makers to quickly compare the overall levels of different evaluation objects under the same set of evaluation standards, identify common problems and their respective characteristic advantages and disadvantages, so as to carry out more refined management and improvement. The present invention combines existing structures and operating components, enters model information and coding into model components according to relevant BIM classification and coding standards, sorts and classifies equipment, and establishes a multivariate information database. On this basis, the original automatic control system, functional management system, security monitoring system, etc. are integrated to complete the mirror mapping of physical manufacturing in the virtual space. At the same time, real-time data is integrated to build a twin physical model of the sludge drying and incineration process. The process operation is guided by the model prediction results, and an energy efficiency evaluation and operation evaluation model for equipment in each process section is established. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the process of the technical and economic quantitative evaluation method of the present invention;

[0034] Figure 2 It is a structural schematic diagram of an electronic device for realizing the technical and economic quantitative evaluation method of the present invention. DETAILED DESCRIPTION

[0035] In order to better understand the above technical solution of the present invention, the technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0036] Combination Figure 1 As shown, the technical and economic quantitative evaluation method based on the sludge drying and incineration digital platform provided by the present invention comprises the following steps:

[0037] S1, determine the operational evaluation indicators for sludge disposal by drying and incineration;

[0038] S2, benchmark values ​​for evaluating each operational evaluation indicator;

[0039] S3, according to the attributes, the operation evaluation indicators are divided into quantitative indicators and qualitative indicators, different assignment methods are used, and normalization is performed;

[0040] S4, determine the weight value of each operation evaluation indicator through hierarchical analysis method and calculate the comprehensive score.

[0041] In the above step S1, the operation evaluation index includes three first-level indexes: technical index A1, economic index A2 and environmental index A3.

[0042] The above technical indicator A1 includes secondary indicators:

[0043] Functional indicator B1 is used to characterize the technical use of the evaluation object and reflects the beneficial role played by the evaluation object in achieving technical goals, including: reduction rate C1, furnace temperature C2, resource processing rate C3, and load realization rate C4.

[0044] Performance indicator B2 is used to characterize the nature and utility of the evaluation object, reflecting the degree of realization of "function", durability and stability, etc., including: load realization rate C4, operation rate C5, and unplanned outage rate C6.

[0045] The above economic indicator A2 includes secondary indicators:

[0046] Cost indicator B3 is used to characterize the basic economic attributes of investment and operation, including: unit investment cost C7, chemical water electricity consumption cost C8, primary ash and secondary ash disposal cost C9.

[0047] The performance index B4 is used to characterize the overall efficiency and energy utilization of the system, including the unit area treatment rate C10 and the energy self-sufficiency rate C11.

[0048] The above environmental indicator A3 includes secondary indicators:

[0049] Emission index B5 is used to characterize the compliance of exhaust gas generated after incineration with emission standards, and to identify the optimization direction of secondary pollution control based on compliance with emission standards, including: odor compliance rate C12, factory boundary noise compliance rate C13, and exhaust gas compliance emission rate C14.

[0050] Risk indicator B6 is used to measure the potential environmental risks that may be caused by the treatment process itself and the treated products after leaving the factory, in addition to the secondary pollution control indicators with clear requirements, including: potential environmental risks C15, carbon emissions C16, and odor pollution risks in the production area C17.

[0051] The economic quantitative evaluation index system based on sludge drying and incineration technology is composed of primary indicators, secondary indicators and tertiary indicators, as shown in Table 1 below.

[0052] Table 1. Index system for quantitative evaluation of sludge drying and incineration technology

[0053]

[0054] The above step S3 specifically includes:

[0055] For quantitative indicators, the benchmark values ​​of quantitative indicators are extracted from the database of the sludge drying and incineration digital platform. The benchmark value represents the most ideal level that the applicable evaluation object can achieve on this indicator. Then, the value of this indicator of the evaluation object is obtained through the normalization algorithm. The specific calculation is as follows:

[0056]

[0057] In the formula, F ij represents the result of assigning the value of the jth evaluation object to the i-th indicator, C ij represents the initial value of the jth evaluation object at the i-th indicator, S i Indicates the benchmark value of the ith indicator, Min i Represents the worst value of the i-th indicator.

[0058] Among them, the linear normalization assignment method is applicable to indicators whose numerical value has a linear positive correlation with the evaluation result and whose value varies in a large range; the deviation normalization assignment method is applicable to indicators whose numerical value has a linear positive correlation with the evaluation result and whose value varies within a certain range.

[0059] For qualitative indicators, an indirect quantification method of graded value assignment is used. First, all value sets and optimal value ranges of qualitative indicators are extracted from the technology database, and the grading standards of qualitative indicators are established based on the value sets and optimal value ranges. After that, for each evaluated technology, the value of the indicator of the technology is determined according to the grading range to which the indicator belongs, so as to achieve the quantification of qualitative indicators.

[0060] The present invention also provides a technical and economic quantitative evaluation device based on a sludge drying and incineration digital platform, comprising:

[0061] Model building module, used to construct a twin physical model of the sludge drying and incineration process;

[0062] The solution strategy setting unit guides the process operation through the prediction results of the twin physical model of the sludge drying and incineration process, and establishes the energy efficiency evaluation and operation evaluation model of each process section equipment;

[0063] The model application unit obtains the advantages and disadvantages of the sludge treatment process through the energy efficiency evaluation of equipment in each process section and the operation evaluation model, revealing the optimization space in the process operation.

[0064] Combination Figure 2 As shown, the present invention also provides an electronic device. Electronic device

[0065] It is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the invention described and / or claimed herein.

[0066] The electronic device 10 includes:

[0067] At least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by the at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0068] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0069] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the technical and economic quantitative evaluation method.

[0070] The technical and economic quantitative evaluation method of the present invention can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the technical and economic quantitative evaluation method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the technical and economic quantitative evaluation method in any other appropriate manner (for example, by means of firmware).

[0071] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0072] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0073] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0074] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0075] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0076] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0077] Example

[0078] The emission index B5 in the environmental index A3 of a sewage treatment plant includes the following special indicators:

[0079] C12 Odor compliance rate (quantitative): refers to the percentage of the number of odor monitorings that meet the "Emission Standard of Air Pollutants for Urban Wastewater Treatment Plants" DB31 / 982 (if all sampling points and all test items of one monitoring meet the standards, it is regarded as meeting the standards) to the number of monitorings within a certain period (usually one year).

[0080] For example: 12 monitorings in a year, 11 of them passed, 1 failed

[0081] C12 is 11 / 12=0.9167

[0082] C13 Plant boundary noise emission compliance rate: refers to the ratio of the number of noise monitorings that meet the "Integrated Emission Standard of Air Pollutants" GB16297-1996 (if all sampling points and all test items of one monitoring meet the standards, it is regarded as meeting the standards) to the number of monitorings within a certain period (usually one year).

[0083] For example: 12 monitorings in a year, 12 qualified monitorings, 0 unqualified monitorings

[0084] C13 is 12 / 12=1

[0085] C14 tail gas compliance rate: refers to the percentage of the number of times tail gas monitoring meets the "Emission Standard of Air Pollutants for Urban Wastewater Treatment Plants" DB31 / 768 (if all sampling points and all test items of one monitoring meet the standards, it is regarded as meeting the standards) to the number of monitoring times within a certain period (usually one year).

[0086] For example: 12 monitorings in a year, 12 qualified monitorings, 0 unqualified monitorings

[0087] C14 is 12 / 12=1

[0088] B5 is (C12*third level weight+C13*third level weight+C14*third level weight)*secondary weight.

[0089] Those skilled in the art should recognize that the above embodiments are only used to illustrate the present invention, and are not intended to limit the present invention. As long as they are within the spirit of the present invention, any changes or modifications to the above embodiments will fall within the scope of the claims of the present invention.

Claims

1. A technical and economic quantitative evaluation method based on a digital platform for sludge drying and incineration, characterized in that: The following steps are involved: S1, determine the operational evaluation indicators for sludge disposal by drying and incineration; S2, evaluating the benchmark value of each of the operation evaluation indicators; S3, dividing the operation evaluation index into quantitative index and qualitative index according to the attribute, using different value assignment methods, and performing normalization processing; S4, determining the weight value of each of the operation evaluation indicators through the hierarchical analysis method, and calculating the comprehensive score.

2. The technical and economic quantitative evaluation method based on the sludge drying and incineration digital platform according to claim 1 is characterized by: The operation evaluation index includes technical index A1, economic index A2 and environmental index A3.

3. The technical and economic quantitative evaluation method based on the sludge drying and incineration digital platform according to claim 2 is characterized in that: The technical indicators A1 include: Functional indicator B1, used to characterize the technical use of the evaluation object; Performance indicator B2 is used to characterize the nature and utility of the evaluation object.

4. The technical and economic quantitative evaluation method based on the digital platform for sludge drying and incineration according to claim 2 is characterized in that: The economic indicators A2 include: Cost indicator B3, used to characterize the basic economic attributes of investment and operation; The performance index B4 is used to characterize the overall efficiency and energy utilization of the system.

5. The technical and economic quantitative evaluation method based on the digital platform for sludge drying and incineration according to claim 2 is characterized in that: The environmental indicators A3 include: Emission index B5 is used to characterize the compliance of tail gas produced after incineration and identify the optimization direction of secondary pollution control based on compliance with emission standards; Risk indicator B6 is used to measure the potential environmental risks that may be caused by the treatment process itself and the treatment products after leaving the factory, in addition to the secondary pollution control indicators with clear requirements.

6. The technical and economic quantitative evaluation method based on the digital platform for sludge drying and incineration according to claim 2 is characterized in that: The step S3 specifically includes: For quantitative indicators, the benchmark values ​​of quantitative indicators are extracted from the database of the sludge drying and incineration digital platform, and then the value of the indicator of the evaluation object is obtained through the normalization algorithm. The specific calculation is as follows: Linear Normalization(1) Linear Normalization(2) In the formula, F ij represents the result of assigning the value of the jth evaluation object to the i-th indicator, C ij represents the initial value of the jth evaluation object at the ith indicator, S i Indicates the benchmark value of the i-th indicator, Min i Represents the worst value of the i-th indicator.

7. A technical and economic quantitative evaluation device based on a digital platform for sludge drying and incineration, characterized in that: include: Model building module, used to construct a twin physical model of the sludge drying and incineration process; A solution strategy setting unit guides the process operation through the prediction results of the twin physical model of the sludge drying and incineration process, and establishes an energy efficiency evaluation and operation evaluation model for the equipment in each process section; The model application unit obtains the advantages and disadvantages of the sludge treatment process through the energy efficiency evaluation and operation evaluation model of the equipment in each process section, and reveals the optimization space in the process operation.

8. An electronic device, characterized in that: The electronic device comprises: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the technical and economic quantitative evaluation method based on the sludge drying and incineration digital platform as described in one of claims 1-6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the technical and economic quantitative evaluation method based on a sludge drying and incineration digital platform as described in any one of claims 1-6 when executed.

10. A computer program product, characterized in that: The computer program product comprises a computer program, which, when executed by a processor, implements the technical and economic quantitative evaluation method based on the sludge drying and incineration digital platform according to any one of claims 1 to 6.

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