Method, device and equipment for diagnosing energy-saving potential of sintering main exhaust fan and storage medium

Abstract

The invention provides a sintering main exhaust fan energy-saving potential diagnosis method, device and equipment and a storage medium, and the method comprises the steps: collecting the operation parameter data of a fan system in a typical normal production period, including working condition parameters, electric energy parameters and process parameters; and performing fusion analysis according to the first potential diagnosis criterion, the second potential diagnosis criterion and the third potential diagnosis criterion to obtain an energy-saving potential diagnosis result. According to the method, through multi-criterion fusion diagnosis, three quantitative models of working condition deviation degree, motor load rate and system efficiency are constructed, fuzzy judgment depending on experience is converted into accurate quantitative analysis driven by data and models, comprehensive evaluation is carried out from three dimensions of equipment operation working condition, load matching and system energy efficiency, the one-sidedness of a single index is overcome, and the system efficiency is improved. The diagnosis conclusion is more reliable, required data are all parameters easy to obtain on site, the model calculation is rapid, the method is suitable for rapid screening and priority ranking, and the evaluation cost is remarkably saved.

Description

Technical Field

[0001] This invention relates to the field of sintering technology, and in particular to a method, apparatus, equipment and storage medium for diagnosing the energy-saving potential of a sintering main exhaust fan. Background Technology

[0002] The main exhaust fan in the sintering process is a major power consumer, and variable frequency speed control technology is one of the main energy-saving measures. However, before deciding whether to carry out frequency conversion retrofitting, enterprises face a core challenge: how to quickly, accurately, and scientifically determine whether their specific sintering production line has considerable potential for frequency conversion energy saving.

[0003] Currently, common practices either heavily rely on expert experience for on-site judgment, leading to strong subjectivity and difficulty in replication, or use only a single current operating indicator for analysis, resulting in biased conclusions. These methods generally suffer from insufficient decision-making basis, potentially missing out on high-quality renovation projects or misdirecting investment in inefficient projects. Therefore, there is an urgent need in this field for a method that can comprehensively utilize sufficiently long historical and readily available data from the field, employing a concise and effective quantitative model to rapidly, reliably, and multidimensionally diagnose the energy-saving potential of frequency converters.

[0004] In view of this, it is necessary to propose a method, device, equipment and storage medium for diagnosing the energy-saving potential of sintering main exhaust fan in order to solve or at least alleviate the above-mentioned defects. Summary of the Invention

[0005] The main objective of this invention is to provide a method, apparatus, equipment, and storage medium for diagnosing the energy-saving potential of sintering main exhaust fans, in order to solve the problems of existing methods for evaluating the energy-saving potential of sintering main exhaust fans by frequency conversion, which rely too heavily on personal experience, use a single criterion leading to biased conclusions, or require complex simulations resulting in high evaluation costs.

[0006] To achieve the above objectives, the present invention provides a method for diagnosing the energy-saving potential of a sintering main exhaust fan, comprising the following steps: S1. Collect the operating parameter data of the sintering main exhaust fan system. The operating parameters include operating condition parameters, electrical energy parameters and process parameters. Among them, the operating condition parameters include the opening degree of the fan damper or guide vane, the motor speed and the rated speed of the motor; the electrical energy parameters include the motor input active power and the rated power of the motor; and the process parameters include the negative pressure of the fan main pipe, the volumetric flow rate of the fan inlet and the oxygen content of the main flue. S2, determine a first potential diagnostic criterion for characterizing the deviation of the operating conditions based on the operating condition parameters; determine a second potential diagnostic criterion for characterizing the motor load rate based on the electrical energy parameters; determine a third potential diagnostic criterion for characterizing the theoretical energy efficiency improvement rate based on the process parameters; S3, the first potential diagnostic criterion, the second potential diagnostic criterion, and the third potential diagnostic criterion are fused and analyzed to obtain the diagnostic result of the energy-saving potential of the sintering main exhaust fan.

[0007] Preferably, step S2, determining the first potential diagnostic criterion for characterizing the deviation of the operating condition based on the operating condition parameters, includes the following steps: Using formula K Calculate the deviation of the working condition and the deviation of the operating conditions As the first potential diagnostic criterion; wherein... This refers to the average opening of the fan damper or guide vane.

[0008] Preferably, step S2, determining the second potential diagnostic criterion for characterizing the motor load rate based on the electrical energy parameters, includes the following steps: Using formula Calculate the motor load rate and the motor load rate As a second potential diagnostic criterion for characterizing motor load rate; wherein, the The average active power of the motor. This refers to the rated power of the motor.

[0009] Preferably, step S2, determining the third potential diagnostic criterion for characterizing the theoretical energy efficiency improvement rate based on the process parameters, includes the following steps: Using formula The overall efficiency of the sintering main exhaust fan system was calculated. Based on the overall efficiency Determine the theoretical energy efficiency improvement rate and the theoretical energy efficiency improvement rate As the third potential diagnostic criterion; wherein... This refers to the volume and air volume of the fan. The total pressure difference between the inlet and outlet of the blower. This is the instantaneous value of the active power input to the motor.

[0010] Preferably, the step is based on the overall efficiency. Specifically, the following steps are included: Set the expected overall efficiency of the sintering main exhaust fan system after frequency conversion modification. ; Using formula Theoretical energy efficiency improvement rate .

[0011] Preferably, the following steps are included before step S1: The system's air leakage status is determined based on the oxygen content in the main flue. If the oxygen content in the main flue is higher than the preset threshold, then the operating parameter data of the sintering main exhaust fan system after the system air leakage treatment is used, and then steps S1~S3 are executed.

[0012] Preferably, step S3 includes the step of: based on the predefined range of at least two of the three factors—the operating condition deviation, the motor load rate, and the theoretical energy efficiency improvement rate—outputting diagnostic results with different levels; wherein: When at least two of the following conditions are met: the deviation of the operating condition is within the first deviation range, the motor load rate is within the first motor load rate range, and the theoretical energy efficiency improvement rate is within the first energy efficiency improvement rate range, the diagnostic result of the energy-saving potential of the output sintering main exhaust fan is "great potential". When at least two of the following conditions are met: the operating condition deviation is within the second deviation range, the motor load rate is within the second motor load rate range, and the theoretical energy efficiency improvement rate is within the second energy efficiency improvement rate range, the diagnostic result of the energy-saving potential of the sintering main exhaust fan is rated as "significant potential". Specifically, the upper limit of the second deviation range is less than the lower limit of the first deviation range, the lower limit of the second motor load rate range is greater than the upper limit of the first motor load rate range, and the upper limit of the second energy efficiency improvement rate range is less than the lower limit of the first energy efficiency improvement rate range. When the values ​​of the operating condition deviation, motor load rate, and theoretical energy efficiency improvement rate do not meet the judgment conditions of the huge potential level and the significant potential level, the diagnostic result of the energy-saving potential of the output sintering main exhaust fan is the limited potential level.

[0013] The present invention also provides a diagnostic device for the energy-saving potential of a sintering main exhaust fan, used to perform the energy-saving potential diagnostic method for a sintering main exhaust fan as described above, including: The data acquisition module is used to collect operating parameter data of the sintering main exhaust fan system. The operating parameters include operating condition parameters, electrical energy parameters, and process parameters. Among them, the operating condition parameters include the opening degree of the fan damper or guide vane, the motor speed, and the rated speed of the motor; the electrical energy parameters include the motor input active power and the rated power of the motor; and the process parameters include the negative pressure of the fan main pipe, the volumetric flow rate of the fan inlet, and the oxygen content of the main flue. The criterion determination module is used to determine a first potential diagnostic criterion for characterizing the deviation of the operating conditions based on the operating condition parameters; to determine a second potential diagnostic criterion for characterizing the motor load rate based on the electrical energy parameters; and to determine a third potential diagnostic criterion for characterizing the theoretical energy efficiency improvement rate based on the process parameters. The result output module is used to perform fusion analysis on the first potential diagnostic criterion, the second potential diagnostic criterion, and the third potential diagnostic criterion to obtain the diagnostic result of the energy-saving potential of the sintering main exhaust fan.

[0014] The present invention also provides a diagnostic device for the energy-saving potential of a sintering main exhaust fan, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-described diagnostic method for the energy-saving potential of a sintering main exhaust fan.

[0015] The present invention also provides a storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for diagnosing the energy-saving potential of a sintering main exhaust fan.

[0016] Compared with the prior art, the present invention has the following beneficial effects: This invention provides a method, apparatus, equipment, and storage medium for diagnosing the energy-saving potential of a sintering main exhaust fan. Through multi-criteria fusion diagnosis, it constructs three quantitative models: operating condition deviation, motor load rate, and system efficiency. This transforms the traditional fuzzy judgment relying on expert experience into precise quantitative analysis driven by data and models, achieving a fundamental breakthrough in diagnostic methodology. By comprehensively evaluating from three physical dimensions—equipment operating conditions (first potential diagnostic criterion), equipment load matching (second potential diagnostic criterion), and system energy conversion efficiency (third potential diagnostic criterion)—it overcomes the shortcomings of single-indicator bias, resulting in more reliable diagnostic conclusions. The data required in this application are all key parameters readily available on-site, and the model calculation is rapid, enabling diagnosis to be completed in a very short time. It is particularly suitable for rapid screening and prioritization of a large number of production lines, greatly saving preliminary assessment costs. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0018] Figure 1 This is a flow chart of the sintering process in one embodiment of the present invention; Figure 2 This is a flowchart illustrating an embodiment of the present invention.

[0019] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0020] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0022] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0023] Furthermore, the use of terms such as "first" and "second" in this invention is for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of the various embodiments can be combined with each other, but only on the basis of being achievable by those skilled in the art. If the combination of technical solutions is contradictory or impossible to implement, such a combination should be considered non-existent and not within the scope of protection claimed by this invention.

[0024] Please see the appendix Figures 1 to 2 The present invention provides a method for diagnosing the energy-saving potential of a sintering main exhaust fan, comprising the following steps: S1. Collect operating parameter data of the sintering main exhaust fan system. The operating parameters include operating condition parameters, electrical energy parameters, and process parameters. Among them, the operating condition parameters include the fan damper or guide vane opening degree (%), motor speed (r / min), and motor rated speed (r / min); the electrical energy parameters include the motor input active power (kW) and motor rated power (kW); and the process parameters include the fan main pipe negative pressure (Pa), fan inlet volumetric flow rate (m³ / min), and main flue oxygen content (%) to assess the system air leakage status. Preferably, the operating parameter data of the sintering main exhaust fan system can be collected during a typical normal production cycle.

[0025] S2, determine a first potential diagnostic criterion for characterizing the deviation of the operating conditions based on the operating condition parameters; determine a second potential diagnostic criterion for characterizing the motor load rate based on the electrical energy parameters; determine a third potential diagnostic criterion for characterizing the theoretical energy efficiency improvement rate based on the process parameters; S3, the first potential diagnostic criterion, the second potential diagnostic criterion, and the third potential diagnostic criterion are fused and analyzed to obtain the diagnostic result of the energy-saving potential of the sintering main exhaust fan.

[0026] This application's solution utilizes multi-criteria fusion diagnosis to construct three quantitative models: operating condition deviation, motor load rate, and system efficiency. This transforms the traditional fuzzy judgment relying on expert experience into precise quantitative analysis driven by data and models, achieving a fundamental breakthrough in diagnostic methodology. By comprehensively evaluating from three physical dimensions—equipment operating conditions (first potential diagnostic criterion), equipment load matching (second potential diagnostic criterion), and system energy conversion efficiency (third potential diagnostic criterion)—it overcomes the shortcomings of single-indicator bias, resulting in more reliable diagnostic conclusions. The data required for this application consists of key parameters readily available on-site, and the model calculation is rapid, enabling diagnosis to be completed in a very short time. It is particularly suitable for rapid screening and prioritization of a large number of production lines, greatly saving preliminary assessment costs.

[0027] As a preferred implementation, by checking the completeness and rationality of the data and eliminating obviously invalid data, historical database data is retrieved, especially data on the opening degree of dampers or guide vanes before and after recent system air leakage treatments (such as replacing trolley tracks or improving sealing). If a significant decrease in damper or guide vane opening is found after treatment (e.g., a decrease of more than 10%), the data after treatment is used as the basis for diagnosis. This step ensures that the diagnosis is based on the current optimal equipment condition, avoiding misjudgments of inflated energy-saving potential due to poor equipment condition (high air leakage), and making the diagnostic conclusion closer to the actual benefits after the modification.

[0028] Further, step S2, determining the first potential diagnostic criterion for characterizing the deviation from the operating condition based on the operating condition parameters, includes the following steps: Using formula K Calculate the deviation of the working condition (%), and the deviation of the operating condition As the first potential diagnostic criterion; wherein... This refers to the average opening of the fan damper or guide vane.

[0029] In this embodiment, the average opening of the fan damper or guide vane The average value of the collected fan damper or guide vane opening data can be obtained; the average opening value of the fan damper or guide vane. The value is between 0 and 100, representing the average opening of the fan damper or guide vane. When fully open (100), the deviation of the operating condition is obtained. A value of 0 indicates that the system is in a state of minimum resistance and theoretically ideal throttling; this value is calculated based on the average opening of the fan damper or guide vane. When closed (0), the deviation of the operating condition is obtained. A value of 1 indicates a critical deviation from the operating condition, where flow is completely blocked, signifying maximum throttling loss. Therefore, the deviation from the operating condition... The higher the value, the more severe the throttling loss, and the greater the potential for frequency converter retrofitting to replace throttling with speed regulation.

[0030] Preferably, step S2, determining the second potential diagnostic criterion for characterizing the motor load rate based on the electrical energy parameters, includes the following steps: Using formula Calculate the motor load rate and the motor load rate As a second potential diagnostic criterion for characterizing motor load rate; wherein, the The average active power of the motor. This refers to the rated power of the motor.

[0031] In this embodiment, the average active power of the motor is... The average value of the collected motor input active power can be taken, and the motor's rated power can be used. Since it is a fixed value, the average active power of the motor can be obtained. The smaller the value, the lower the motor load rate. The smaller the value, the lighter the motor load, and the greater the energy-saving potential after frequency conversion modification by reducing the speed (following the fan law, power α = speed cubed).

[0032] Further, the step S2, which determines the third potential diagnostic criterion for characterizing the theoretical energy efficiency improvement rate based on the process parameters, includes the following steps: Using formula The overall efficiency of the sintering main exhaust fan system was calculated. Based on the overall efficiency Determine the theoretical energy efficiency improvement rate and the theoretical energy efficiency improvement rate As the third potential diagnostic criterion; wherein... The volumetric air volume is expressed in m³ / min. If a flow meter is available, it can be measured directly. Otherwise, it can be estimated using the following formula based on the fan similarity law: .in, The actual operating speed of the motor, in r / min. Qr represents the rated speed of the motor, in r / min. (n / n r This describes the relationship between air volume and rotational speed under the same pipeline resistance. This represents the total pressure difference between the inlet and outlet of the fan, expressed in Pa. It can be approximated as the absolute value of the negative pressure in the fan's main pipe. The rated differential pressure of the fan, in Pa. It describes the impact of changes in pipeline resistance on air volume. For a given fan, the air pressure is approximately proportional to the square of the air volume (following the performance curves of the fan and pipeline). Therefore, this square root relationship is used to correct for the impact caused by changes in system resistance. , All parameters are known values ​​from nameplates or performance curves provided by the equipment manufacturer. The instantaneous active power input to the motor, in kW, is read directly from the active power meter or energy meter in the high-voltage distribution cabinet. The physical dimensions of the numerator and denominator on the right side of the formula are watts (W), the unit of work done by the gas or electrical power. After the unit conversion mentioned above, a constant of 60000 is generated, therefore the final... The calculation formula has dimensionless values ​​on both sides of the equation.

[0033] Furthermore, the steps are based on the overall efficiency. Specifically, the following steps are included: The expected overall efficiency This is a preset value based on industry consensus and typical equipment performance, preferably ranging from 70% to 85%. More specifically, it can be determined comprehensively based on the inverter efficiency of the fan system (typically 96% to 98%), the average operating efficiency of the motor after speed regulation (typically 94% to 96%), and the improvement in pipeline efficiency. For example, for a typical high-voltage frequency conversion retrofit project, it can be... Set to 80%; for advanced systems with integrated energy feedback, the equivalent increase can be calculated based on the feedback energy. The value; Using formula Theoretical energy efficiency improvement rate (%).

[0034] Specifically, this involves setting a target overall efficiency after the frequency converter upgrade. (This value can be determined comprehensively based on the efficiency of the high-voltage frequency converter, the motor efficiency, and the pipeline efficiency after eliminating throttling losses). For the basic frequency converter retrofit scheme, the expected comprehensive efficiency is... The primary considerations are eliminating throttling losses from dampers or guide vanes, and improving efficiency through the efficient operation of the frequency converter and motor. For a hybrid drive system integrating waste heat recovery and energy feedback, the expected overall efficiency is... The design must additionally consider the equivalent efficiency gain brought by energy feedback. Because the system can supply power to the grid under certain operating conditions, its equivalent energy consumption is negative. This allows for a significant reduction in net energy consumption for systems with energy feedback capabilities, as they can supply power to the grid under specific operating conditions. To quantify the energy efficiency improvement of such a system compared to its current state, this invention introduces the concept of theoretical energy efficiency improvement rate E. The E value calculated using the formula can be significantly higher than that of conventional retrofit projects, even exceeding 100%, depending on the performance of the energy feedback (such as superheated steam) system.

[0035] From this formula, we can obtain the theoretical energy efficiency improvement rate. This reflects the upper limit of potential energy savings when upgrading from the current inefficient operating state to a highly efficient operating state. For systems with energy feedback capabilities, this theoretical energy efficiency improvement rate can be significantly higher than that of conventional systems.

[0036] Preferably, the following steps are included before step S1: The system's air leakage status is determined based on the oxygen content in the main flue. If the oxygen content in the main flue is higher than the preset threshold, then the operating parameter data of the sintering main exhaust fan system after the system air leakage treatment is used, and then steps S1~S3 are executed.

[0037] In a preferred embodiment, step S3 includes the following steps: When at least two of the following conditions are met: the deviation of the operating condition is within the first deviation range, the motor load rate is within the first motor load rate range, and the theoretical energy efficiency improvement rate is within the first energy efficiency improvement rate range, the diagnostic result of the energy-saving potential of the output sintering main exhaust fan is "great potential". When at least two of the following conditions are met: the operating condition deviation is within the second deviation range, the motor load rate is within the second motor load rate range, and the theoretical energy efficiency improvement rate is within the second energy efficiency improvement rate range, the diagnostic result of the energy-saving potential of the sintering main exhaust fan is rated as "significant potential". Specifically, the upper limit of the second deviation range is less than the lower limit of the first deviation range, the lower limit of the second motor load rate range is greater than the upper limit of the first motor load rate range, and the upper limit of the second energy efficiency improvement rate range is less than the lower limit of the first energy efficiency improvement rate range. When the values ​​of the operating condition deviation, motor load rate, and theoretical energy efficiency improvement rate do not meet the judgment conditions of the huge potential level and the significant potential level, the diagnostic result of the energy-saving potential of the output sintering main exhaust fan is the limited potential level.

[0038] In this embodiment, the first deviation range, the first motor load rate range, and the theoretical energy efficiency improvement rate are... The second deviation range, the second motor load rate range, the second energy efficiency improvement rate range, the third deviation range, the third motor load rate range, and the third energy efficiency improvement rate range can be set by those skilled in the art according to actual needs. As an optional example, the first deviation is... ≥45%, first motor load rate ≤80%, theoretical energy efficiency improvement rate ≥25%, second deviation ∈[25%,45%), second motor load rate ∈(80%,85%), Second energy efficiency improvement rate ∈[20%,25%), third deviation <25%, third motor load rate >85%, third energy efficiency improvement rate <20%. The symbols “[” and “]” indicate that endpoints are included, while “(” and “)” indicate that endpoints are not included.

[0039] Take the main exhaust fan of a 360m² sintering machine in a sintering plant as an example.

[0040] The following data were collected: average damper opening of the two fans: 55%; average active power of the motor: 3900kW; rated power: 5100kW; negative pressure of the main pipe: 16000Pa; fan air volume: 8500m³ / min.

[0041] Historical data shows that after the air leakage was treated, the oxygen content decreased from 16% to 14%, and the damper opening decreased from 78% to 55%. This indicates that the current data (oxygen content 14%, damper opening 55%) can reflect the optimal equipment condition after the treatment, so the current data is used for diagnosis.

[0042] The calculated operating condition deviation is 45%, the motor load rate is 76.5%, and the theoretical energy efficiency improvement rate is 29.9%.

[0043] With three out of three indicators meeting the standards, the system's diagnostic conclusion is: Great potential.

[0044] The present invention also provides a diagnostic device for the energy-saving potential of a sintering main exhaust fan, used to perform the energy-saving potential diagnostic method for a sintering main exhaust fan as described above, including: The data acquisition module is used to collect operating parameter data of the sintering main exhaust fan system. The operating parameters include operating condition parameters, electrical energy parameters, and process parameters. Among them, the operating condition parameters include the opening degree of the fan damper or guide vane, the motor speed, and the rated speed of the motor; the electrical energy parameters include the motor input active power and the rated power of the motor; and the process parameters include the negative pressure of the fan main pipe, the volumetric flow rate of the fan inlet, and the oxygen content of the main flue. The criterion determination module is used to determine a first potential diagnostic criterion for characterizing the deviation of the operating conditions based on the operating condition parameters; to determine a second potential diagnostic criterion for characterizing the motor load rate based on the electrical energy parameters; and to determine a third potential diagnostic criterion for characterizing the theoretical energy efficiency improvement rate based on the process parameters. The result output module is used to perform fusion analysis on the first potential diagnostic criterion, the second potential diagnostic criterion, and the third potential diagnostic criterion to obtain the diagnostic result of the energy-saving potential of the sintering main exhaust fan.

[0045] The present invention also provides a storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for diagnosing the energy-saving potential of a sintering main exhaust fan.

[0046] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0047] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A sinter main fan energy saving potential diagnosis method characterized by, The method comprises the following steps: S1, collecting operation parameter data of a sinter main exhaust fan system, wherein the operation parameters comprise working condition parameters, electric energy parameters and process parameters; the working condition parameters comprise fan damper or guide vane opening, motor speed, motor rated speed; the electric energy parameters comprise motor input active power, motor rated power; the process parameters comprise fan main pipe negative pressure, fan inlet volume flow, large flue oxygen content; S2, determining a first potential diagnosis criterion for representing working condition deviation degree according to the working condition parameters; determining a second potential diagnosis criterion for representing motor load rate according to the electric energy parameters; determining a third potential diagnosis criterion for representing theoretical energy efficiency improvement rate according to the process parameters; S3, performing fusion analysis on the first potential diagnosis criterion, the second potential diagnosis criterion and the third potential diagnosis criterion to obtain a diagnosis result of sinter main exhaust fan energy saving potential.

2. The sinter main fan energy saving potential diagnosis method according to claim 1, characterized by, The step S2 of determining the first potential diagnosis criterion for representing working condition deviation degree according to the working condition parameters comprises the following steps: The formula K The working condition deviation degree is calculated The working condition deviation degree is used as the first potential diagnosis criterion; wherein, is the average opening of the fan damper or guide vane.

3. The sinter main fan energy saving potential diagnosis method according to claim 1, characterized by, The step S2 of determining the second potential diagnosis criterion for representing motor load rate according to the electric energy parameters comprises the following steps: a motor load rate is calculated by a formula as a second potential diagnostic criterion for characterizing the motor load rate; wherein the is the motor average active power, is the motor rated power.​​ 4. The sinter main fan energy saving potential diagnosis method according to claim 1, characterized by, The step S2 of determining the third potential diagnosis criterion for representing theoretical energy efficiency improvement rate according to the process parameters comprises the following steps: The comprehensive efficiency of the sinter main exhaust fan system is calculated by using the formula The comprehensive efficiency of the sinter main exhaust fan system is calculated by using the formula The theoretical energy efficiency improvement rate is determined according to the comprehensive efficiency The theoretical energy efficiency improvement rate is determined according to the comprehensive efficiency The theoretical energy efficiency improvement rate is determined according to the comprehensive efficiency The theoretical energy efficiency improvement rate is determined according to the comprehensive efficiency is the fan volume air flow, is the total pressure difference between the fan inlet and outlet, is the motor input active power instantaneous value.

5. The sinter main fan energy saving potential diagnosis method according to claim 4, characterized by, The step is based on the overall efficiency Determining a theoretical energy efficiency improvement rate Specifically comprising the following steps: Setting the expected comprehensive efficiency of the sinter main exhaust fan system after frequency conversion reconstruction ; The theoretical energy efficiency improvement rate is obtained by using the formula .​ 6. The sinter main fan energy saving potential diagnosis method according to claim 1, characterized by, The step S1 further comprises the following steps: judging system air leakage state according to the large flue oxygen content; if the large flue oxygen content is higher than a preset threshold value, using operation parameter data of the sinter main exhaust fan system after system air leakage treatment to perform steps S1-S3 again.

7. The sinter main fan energy saving potential diagnosis method according to claim 1, characterized by, The step S3 comprises the following step: outputting diagnosis results with different levels based on values of at least two of the working condition deviation degree, the motor load rate and the theoretical energy efficiency improvement rate in predefined ranges; wherein: when at least two of the working condition deviation degree being in a first deviation degree range, the motor load rate being in a first motor load rate range and the theoretical energy efficiency improvement rate being in a first energy efficiency improvement rate range are true, the diagnosis result of sinter main exhaust fan energy saving potential is outputted as a potential huge level; when at least two of the working condition deviation degree being in a second deviation degree range, the motor load rate being in a second motor load rate range and the theoretical energy efficiency improvement rate being in a second energy efficiency improvement rate range are true, the diagnosis result of sinter main exhaust fan energy saving potential is outputted as a potential significant level; wherein, an upper limit value of the second deviation degree range is less than a lower limit value of the first deviation degree range, a lower limit value of the second motor load rate range is greater than an upper limit value of the first motor load rate range, and an upper limit value of the second energy efficiency improvement rate range is less than a lower limit value of the first energy efficiency improvement rate range; when values of the working condition deviation degree, the motor load rate and the theoretical energy efficiency improvement rate do not satisfy the judgment conditions of the potential huge level and the potential significant level, the diagnosis result of sinter main exhaust fan energy saving potential is outputted as a potential limited level.

8. A sinter main exhaust fan energy saving potential diagnosis device for executing the sinter main exhaust fan energy saving potential diagnosis method according to any one of claims 1 to 7, characterized by The method comprises the following steps: A data collection module is configured to collect operation parameter data of the sinter main exhaust fan system, wherein the operation parameters include working condition parameters, electric energy parameters and process parameters; the working condition parameters include fan damper or guide vane opening, motor speed and motor rated speed, the electric energy parameters include motor input active power and motor rated power, and the process parameters include fan main pipe negative pressure, fan inlet volume flow and large flue oxygen content; A criterion determination module is configured to determine a first potential diagnosis criterion for representing working condition deviation degree according to the working condition parameters, determine a second potential diagnosis criterion for representing motor load rate according to the electric energy parameters, and determine a third potential diagnosis criterion for representing theoretical energy efficiency improvement rate according to the process parameters; A result output module is configured to perform fusion analysis on the first potential diagnosis criterion, the second potential diagnosis criterion and the third potential diagnosis criterion to obtain a diagnosis result of the sinter main exhaust fan energy saving potential.

9. A sinter main fan energy saving potential diagnosis device characterized by, A computer program product includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the steps of the sinter main exhaust fan energy saving potential diagnosis method according to any one of claims 1 to 7.

10. A storage medium storing a computer program, characterized by The computer program product is executed by the processor to implement the steps of the sinter main exhaust fan energy saving potential diagnosis method according to any one of claims 1 to 7.

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