Heat exchanger energy efficiency detection method, device and system and storage medium

Abstract

The invention relates to a heat exchanger energy efficiency detection method, device and system and a storage medium, and relates to the technical field of centralized heating system control safety. The method comprises the following steps: acquiring multiple target energy efficiency index parameters corresponding to multiple target energy efficiency indexes of a heat exchanger to be tested one by one; determining a corresponding target index grade evaluation model set associated with each target energy efficiency index in the multiple target energy efficiency indexes; for any target energy efficiency index parameter in the multiple target energy efficiency index parameters, multiple target index grade evaluation models of any target index grade evaluation model set are adopted to determine multiple first target membership degrees of any target energy efficiency index parameter; determining a comprehensive index result according to a plurality of first target membership degrees respectively corresponding to the plurality of target energy efficiency index parameters and each index weight of the plurality of target energy efficiency indexes; and determining whether the to-be-tested heat exchanger is abnormal according to the comprehensive index result.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of central heating system control safety, and particularly relates to a heat exchanger energy efficiency detection method, device, system and storage medium. BACKGROUND

[0002] With the rapid advancement of urbanization in China, the scale of central heating system is increasingly expanding, and its operation energy efficiency is directly related to energy consumption, economic benefits and system stability. As the core equipment in the central heating system heat exchange station, the heat exchanger is widely used due to its high heat exchange efficiency and compact structure, and the heat exchanger performance state directly affects the heating quality and operation cost of the whole system. In the long-term operation, due to factors such as water quality, fouling, corrosion and equipment aging, the energy efficiency of the heat exchanger will decay. Therefore, in order to scientifically, accurately and timely evaluate the energy efficiency state of the heat exchanger, a multi-index parallel comparison method is often used for energy efficiency evaluation and detection. Although the above multi-index parallel comparison method lists multiple index parameters, it only performs simple weighted calculation on multiple indexes to obtain a comprehensive score, and determines the comprehensive index level based on the numerical range of the comprehensive score belonging to the level. The inherent "hard boundary" threshold in the comprehensive index level cannot accurately describe the widely existing fuzzy transition state in the actual operation, resulting in distorted evaluation of the critical working condition. SUMMARY

[0003] The present application provides a heat exchanger energy efficiency detection method, device, system and storage medium to at least solve the problem that the inherent "hard boundary" threshold in the comprehensive index level leads to distorted evaluation of the critical working condition. The technical solution of the present application is as follows: According to a first aspect of the embodiment of the present application, a heat exchanger energy efficiency detection method is provided, which is applied to a central heating system, the central heating system comprising a plurality of heat exchangers, and the method comprises: acquiring a plurality of target index energy efficiency index parameters corresponding to a plurality of target index energy efficiency indexes of a to-be-detected heat exchanger; determining a corresponding target index level evaluation model set for each target index energy efficiency index in the plurality of target index energy efficiency indexes; one target index level evaluation model set comprises a plurality of target index level evaluation models; the plurality of target index level evaluation models correspond to a plurality of target index levels one by one; the target index level evaluation model is used to determine the membership degree of the target index parameter under the corresponding target index level; for any target index parameter in the plurality of target index energy efficiency index parameters, a plurality of target index level evaluation models of any target index level evaluation model set are used to determine a plurality of first target membership degrees of any target index parameter; according to the plurality of first target membership degrees corresponding to the plurality of target index energy efficiency index parameters and the index weight of the plurality of target index energy efficiency indexes, a comprehensive index result is determined; the comprehensive index result represents the maximum membership degree weighted result; according to the comprehensive index result, it is determined whether the to-be-detected heat exchanger is abnormal.

[0004] The evaluation model of each target index level is a continuous membership function.

[0005] In an implementation, the comprehensive index result is determined according to the multiple first target memberships corresponding to the multiple target energy efficiency index parameters respectively and the index weights of the multiple target energy efficiency indexes, including: determining a second target membership with the maximum membership from the multiple first target memberships of any target energy efficiency index parameter; and performing weighted summation on the second target memberships corresponding to the target energy efficiency index parameters of each target energy efficiency index and the index weights of the target energy efficiency indexes to obtain the comprehensive index result.

[0006] In another implementation, the comprehensive index result is determined according to the multiple first target memberships corresponding to the multiple target energy efficiency index parameters respectively and the index weights of the multiple target energy efficiency indexes, including: performing weighted summation on each first target membership of each target index level of the multiple target energy efficiency index parameters and the index weights of the target energy efficiency indexes to obtain a candidate index result at each target index level; and selecting a target index level corresponding to a candidate index result with the maximum weighted result from the candidate index results at the multiple target index levels to determine the comprehensive index result.

[0007] In another implementation, whether the to-be-tested heat exchanger is abnormal is determined according to the comprehensive index result, including: detecting that the comprehensive index result is in a preset index range, determining that the index of the to-be-tested heat exchanger is abnormal, and sending first indication information; and detecting that the comprehensive index result is out of the preset index range, determining that the index of the to-be-tested heat exchanger is normal, and sending second indication information.

[0008] In another implementation, whether the to-be-tested heat exchanger is abnormal is determined according to the comprehensive index result, including: when the target index level indicated by the comprehensive index result is in an abnormal level range, determining that the index of the to-be-tested heat exchanger is abnormal, and sending first indication information; and when the target index level indicated by the comprehensive index result is in a normal level range, determining that the index of the to-be-tested heat exchanger is normal, and sending second indication information.

[0009] In another implementation, the multiple target index levels include a first level, a second level, a third level, a fourth level and a fifth level in order from good to bad; the target index level evaluation model associated with the first level and the fifth level is a trapezoidal function, the target index level evaluation model associated with the second level, the third level and the fourth level is a triangular function; the model parameters of the target level evaluation models of different target energy efficiency indexes at the same target index level are different; and the method further includes: determining the index weights of the multiple target energy efficiency indexes by using an analytic hierarchy process.

[0010] In another implementation, the method further includes: determining, according to a first association relationship between the heat exchanger type and the energy efficiency indicator, a plurality of target energy efficiency indicators associated with the target heat exchanger type; the target heat exchanger type includes a plate heat exchanger, a shell-and-tube heat exchanger, a double-pipe heat exchanger, and a finned tube heat exchanger, and the plurality of target energy efficiency indicators include one or more of the following: a relative heat transfer coefficient, a relative pressure drop, a relative fouling resistance, a relative upper end difference, a relative lower end difference, a flow matching degree, an operation stability, and a relative maintenance period; and determining, according to a second association relationship between the energy efficiency indicator, the indicator level, and the level evaluation model, a target indicator level evaluation model respectively associated with each target energy efficiency indicator in the plurality of target indicators, to obtain a target indicator level evaluation model set.

[0011] According to a second aspect of the embodiments of the present application, a heat exchanger energy efficiency detection device is provided, which is applied to a central heating system including a plurality of heat exchangers. The heat exchanger energy efficiency detection device includes: an acquisition unit configured to acquire a plurality of target energy efficiency indicator parameters corresponding to a plurality of target energy efficiency indicators of a to-be-detected heat exchanger; a membership determination unit configured to determine a target indicator level evaluation model set respectively associated with each target energy efficiency indicator in the plurality of target energy efficiency indicators; each target indicator level evaluation model set includes a plurality of target indicator level evaluation models; the plurality of target indicator level evaluation models correspond to a plurality of target indicator levels one-to-one; and the target indicator level evaluation model is used to determine a membership degree of a target indicator parameter under a corresponding target indicator level. For any target energy efficiency indicator parameter in the plurality of target energy efficiency indicator parameters, a plurality of target membership degrees of the any target energy efficiency indicator parameter are determined by using a plurality of target indicator level evaluation models of any target indicator level evaluation model set. A comprehensive indicator determination unit is configured to determine a comprehensive indicator result according to the plurality of target membership degrees respectively corresponding to the plurality of target energy efficiency indicator parameters and a plurality of indicator weights of the plurality of target energy efficiency indicators. The comprehensive indicator result represents a maximum membership degree weighted result. An early warning unit is configured to determine whether the to-be-detected heat exchanger is abnormal according to the comprehensive indicator result.

[0012] According to a third aspect of the embodiments of the present application, a central heating system is provided, which includes a plurality of heat exchangers. The system is configured to perform the heat exchanger energy efficiency detection method according to the first aspect and any possible implementation manner thereof.

[0013] According to a fourth aspect of the embodiments of the present application, a computer readable storage medium is provided, and the computer readable storage medium stores instructions. When the instructions in the computer readable storage medium are executed by a processor of a heat exchanger energy efficiency detection device, the heat exchanger energy efficiency detection device can perform the heat exchanger energy efficiency detection method according to the first aspect and any possible implementation manner thereof.

[0014] According to a fifth aspect of the embodiments of the present disclosure, a computer program product is provided, which comprises computer instructions, when the computer instructions are executed on the electric heat exchanger energy efficiency detection device, the heat exchanger energy efficiency detection device is caused to perform the heat exchanger energy efficiency detection method of the first aspect and any possible implementation manner thereof.

[0015] The embodiments of the present application provide at least the following beneficial effects: in order to simultaneously consider multiple interrelated and even interdependent physical parameters affecting energy efficiency, the energy efficiency index parameters of multiple target energy efficiency indexes of the to-be-tested heat exchanger are comprehensively detected and evaluated, so that the final comprehensive evaluation result can comprehensively and truly reflect the comprehensive energy efficiency state of the heat exchanger in the system operation. Multiple index level evaluation models under multiple energy efficiency levels are set for each target energy efficiency index. Based on this, a specific energy efficiency index parameter value (such as a relative heat transfer coefficient of 1.01) simultaneously represents multiple membership degrees under multiple index evaluation levels in different "degrees", so that multiple first target membership degrees of a single index parameter can simultaneously reflect multiple level characteristics. Therefore, based on the multiple first target membership degrees and weights of the energy efficiency index parameters, the comprehensive index result determined can accurately reflect the subtle differences and real transitions of the device performance near the critical state, fundamentally eliminating the evaluation distortion and decision rigidity caused by the "hard boundary", and realizing a scientific evaluation more consistent with human complex cognition and objective reality.

[0016] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings incorporated in the specification and forming a part of the specification illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure, and do not constitute an undue limitation on the present disclosure.

[0018] Figure 1 is a flow chart of a heat exchanger energy efficiency detection method according to an exemplary embodiment; Figure 2 is a heat exchanger energy efficiency detection device according to an exemplary embodiment; Figure 3 is a schematic diagram of a heat exchanger energy efficiency detection device according to an exemplary embodiment. DETAILED DESCRIPTION

[0019] In order for those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be described clearly and completely below with reference to the drawings.

[0020] It is to be noted that the terms "first", "second", and the like in the description and in the claims of the present disclosure and the above-described drawings are used to distinguish similar objects and are not necessarily used to describe a particular sequential or chronological order. It should be understood that the data thus used can be interchanged, where appropriate, so that the embodiments of the present disclosure described herein can be carried out in other sequences than the one illustrated or described herein. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present disclosure. Instead, they are merely examples of apparatuses and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0021] Before the heat exchanger energy efficiency detection method provided by the embodiments of the present application is introduced in detail, the application scenarios and implementation environments involved in the embodiments of the present application are introduced briefly.

[0022] With the acceleration of the pace of urbanization development in China, the growth trend of urban heating area is rapidly increasing, and the pressure on the efficient and stable operation of the central heating system is increasing. In the central heating system, plate heat exchangers are widely used due to their small footprint, low noise, high heat exchange efficiency and other advantages, and as key equipment for heat transfer, they play a crucial role in the energy consumption of the entire system.

[0023] In long-term operation, due to the influence of factors such as the water quality of circulating water and make-up water, metal material corrosion, and the deposition of the inner wall of the heat exchanger tube, the water flow velocity is reduced, the pressure drop is increased, the heat transfer coefficient is reduced, and the heat exchange efficiency is decreased. In severe cases, it will affect the normal heating of the heating system, increase the operating cost, shorten the service life of the equipment, and even cause safety hazards. The central heating system is generally large in scale, and there are a large number of heat exchangers, and each heat exchanger has different operating conditions, making it difficult to completely disassemble and inspect. Therefore, it is urgent to develop a heat exchanger energy efficiency evaluation method to guide the cleaning and replacement of heat exchangers.

[0024] Defects and deficiencies of the prior art: Currently, the energy efficiency evaluation of plate heat exchangers generally relies on traditional methods such as single indicator analysis, multiple indicator comparison, or simple weighted scoring. These methods have significant inherent defects: single indicator method (such as only focusing on heat transfer coefficient) one-sidedly ignores the pump power cost caused by pressure drop, which is prone to misjudgment; multiple indicator method is trapped in decision-making dilemma when indicators conflict with each other, highly dependent on the subjective experience of operators, and difficult to form a unified standard; and the simple weighted scoring method is plagued by the "hard boundary" problem, which cannot accurately describe the existing fuzzy state of "better" and "worse", and the weight distribution often lacks scientific basis.

[0025] To solve the above problems, the heat exchanger energy efficiency detection method provided in the present application uses the mathematical tool of membership function to accurately quantify the fuzziness of energy efficiency state, so that qualitative evaluation such as "good" and "medium" can be converted into calculable parameters. At the same time, it determines the weight of each influencing factor through scientific methods such as analytic hierarchy process (AHP), so as to objectively reflect the importance of different factors such as heat transfer performance and pressure drop in a specific system. Finally, through fuzzy synthesis operation, it effectively fuses all fuzzy information and finally outputs an intuitive and quantitative comprehensive evaluation result. This method not only better fits the complex decision-making thinking of human beings, but also is more scientific, and is easy to realize automatic and intelligent monitoring, thereby providing a powerful decision support tool for preventive maintenance and energy efficiency optimization of equipment.

[0026] For ease of understanding, the heat exchanger energy efficiency detection method provided in the present application is specifically introduced below in combination with the accompanying drawings. The heat exchanger energy efficiency detection method can be applied to a central heating system, and the central heating system includes a plurality of heat exchangers.

[0027] Figure 1 A flow chart of a heat exchanger energy efficiency detection method according to an exemplary embodiment is shown in FIG. 1. As shown in FIG. 1, the heat exchanger energy efficiency detection method includes the following steps. Figure 1

[0028] S11, obtaining a plurality of target energy efficiency index parameters corresponding to a plurality of target energy efficiency indexes of a heat exchanger to be measured.

[0029] The target heat exchanger type can include one or more of the following: plate heat exchanger, shell-and-tube heat exchanger, double-pipe heat exchanger, and finned tube heat exchanger.

[0030] The plurality of target energy efficiency indexes include one or more of the following: relative heat transfer coefficient, relative pressure drop, relative fouling resistance, relative upper end difference, relative lower end difference, flow matching degree, operation stability, and relative maintenance period.

[0031] In some embodiments, the process of obtaining the plurality of target energy efficiency index parameters is as follows: first, a plurality of original energy efficiency index parameters of each target energy efficiency index in the current time period are obtained. Then, the plurality of original energy efficiency index parameters under each target energy efficiency index are respectively subjected to the following preset processing to obtain the target energy efficiency index parameter corresponding to each target energy efficiency index.

[0032] ​One, the preset processing includes data screening. For each target energy efficiency indicator, corresponding parameter conditions are set for the original energy efficiency indicator parameters of the target energy efficiency indicator. The original energy efficiency indicator parameters that do not meet the parameter conditions among the multiple original energy efficiency indicator parameters of each target energy efficiency indicator are determined as abnormal data, and the abnormal data among the multiple original energy efficiency indicator parameters of each target energy efficiency indicator are deleted to obtain the candidate energy efficiency indicator parameters of each target energy efficiency indicator. The candidate energy efficiency indicator parameters of each target energy efficiency indicator are fitted to obtain the target energy efficiency indicator parameters corresponding to each target energy efficiency indicator.

[0033] The parameter conditions include one or more of the following: parameter upper and lower limit range, data logical relationship (such as the hot fluid inlet temperature must be greater than the outlet temperature, the hot fluid inlet temperature must be greater than the cold fluid outlet temperature, etc.), whether the change between the data points of the adjacent original indicator parameters of the inspection time exceeds a reasonable threshold.

[0034] Second, the preset processing can also include interpolation of the deleted abnormal data. The multiple original energy efficiency indicator parameters of each target energy efficiency indicator are continuously collected in chronological order. For any target energy efficiency indicator, the abnormal data among the multiple original energy efficiency indicator parameters of each target energy efficiency indicator are determined, the abnormal data are deleted, and the valid data adjacent to the abnormal data in time sequence are determined among the multiple original energy efficiency indicator parameters of each target energy efficiency indicator. Based on the valid data, linear interpolation filling, median interpolation or mean interpolation is performed to obtain compensation data. The valid data and the abnormal data are determined as the candidate energy efficiency indicator parameters of the target energy efficiency indicator. The candidate energy efficiency indicator parameters are fitted to obtain the target energy efficiency indicator parameters corresponding to the target energy efficiency indicator.

[0035] In some embodiments, the multiple target energy efficiency indicators are also referred to as an evaluation factor set U. The evaluation factor set U includes U1 to U8. The specific determination process of U1 to U8 is as follows, where each evaluation factor is Ui.

[0036] U1 relative heat transfer coefficient (K): the ratio of the actual heat transfer coefficient to the design heat transfer coefficient is used to measure it. It is the core indicator of energy efficiency.

[0037] U2 relative pressure drop (ΔP): the ratio of the actual pressure drop to the design pressure drop is used to measure it, which represents the pressure loss of the fluid through the heat exchanger. Excessive pressure drop means increased pump power consumption and reduced system energy efficiency.

[0038] U3 relative fouling resistance (Rf): the ratio of the actual fouling resistance to the design fouling resistance is used to measure it to measure the degree of contamination of the heat exchange surface. The more serious the fouling, the lower the heat transfer efficiency.

[0039] U4 Relative top temperature difference (Ttdh): measured by the ratio of actual top temperature difference to design top temperature difference. The top temperature difference is the difference between the high-temperature side inlet medium temperature and the low-temperature side outlet medium temperature.

[0040] U5 Relative bottom temperature difference (Ttdc): measured by the ratio of actual bottom temperature difference to design bottom temperature difference. The bottom temperature difference is the difference between the high-temperature side outlet medium temperature and the low-temperature side inlet medium temperature.

[0041] U6 Flow matching degree: measured by the ratio of actual flow to design flow. Too low or too high flow will deviate from the optimal operating point.

[0042] U7 Operation stability: represents the influence of the fluctuation of the energy efficiency index parameters (flow, temperature) on the average energy efficiency, which can be represented by the coefficient of variation (CV). The coefficient of variation (CV) is the ratio of the standard deviation σ of the candidate energy efficiency index parameter to the average value μ of the candidate energy efficiency index parameter, which is a normalized statistical quantity to measure the degree of data dispersion, and is very suitable for comparing the volatility of parameters of different units or orders of magnitude.

[0043] Calculation formula: CV = (standard deviation σ / average value μ) x 100%.

[0044] U8 Relative maintenance cycle: measured by the ratio of actual cycle to planned cycle, reflecting the influence of equipment maintenance, seal condition, etc. on long-term performance.

[0045] S12, determine that each target energy efficiency index in the multi-target energy efficiency index is associated with a corresponding target index grade evaluation model set.

[0046] A target index grade evaluation model set includes multiple target index grade evaluation models.

[0047] The multiple target index grade evaluation models correspond one-to-one to the multiple target index grades.

[0048] The target index grade evaluation model is used to determine the membership degree of the target index parameter under the corresponding target index grade.

[0049] The target index grade evaluation model can be a membership function.

[0050] The membership function can include a trapezoidal function and / or a triangular function. The trapezoidal function and the triangular function are piecewise functions.

[0051] In some embodiments, first, determine an evaluation grade set (V) composed of multiple target index grades, where the target index grade can be referred to as any grade Vj. Second, define a function for each grade Vj of each evaluation factor Ui to describe the degree to which the specific value of the factor belongs to this fuzzy grade. Trapezoidal function or triangular function is commonly used.

[0052] In some embodiments, any of the above Vj is used to describe the fuzzy evaluation level of the energy efficiency level, a total of 5 levels: V1 to V5; V={V1: excellent, V2: good, V3: medium, V4: poor, V5: very poor}. Wherein, the membership function corresponding to each level is determined according to specific needs.

[0053] Optionally, each of the above plurality of target indicator levels is arranged in a sequence from good to poor. It can include: a first level, a second level, a third level, a fourth level and a fifth level.

[0054] The target indicator level evaluation model corresponding to the first level and the fifth level can be a trapezoidal function. The target indicator level evaluation model of the second level, the third level and the fourth level can be a triangular function. The model parameters of the target level evaluation model of different target energy efficiency indicators in the same target indicator level are different.

[0055] Further, the membership degree function is determined and the membership degree r ij is defined for each level Vj of each factor Ui, describing the degree to which the specific value of the factor belongs to this fuzzy level. Trapezoidal or triangular functions are commonly used.

[0056] The triangular function is defined by three model parameters (a, b, c) to form a triangle.

[0057] a: the left leg of the triangle, when the input value x<=a, the membership degree μ(x)=0.

[0058] b: the vertex of the triangle, when the input value x=b, the membership degree μ(x)=1.

[0059] c: the right leg of the triangle, when the input value x>=c, the membership degree μ(x)=0.

[0060] Its mathematical definition (piecewise function) is as follows.

[0061]

[0062] The trapezoidal function is defined by four model parameters (a, b, c, d) to form a trapezoid.

[0063] a: the left leg of the trapezoid, when x<=a, μ(x)=0.

[0064] b: the left shoulder of the trapezoid, when x>=b, the membership degree starts to rise to 1, forming the left end of the platform.

[0065] c: the right shoulder of the trapezoid, when x<=c, the membership degree starts to drop from 1, forming the right end of the platform.

[0066] d: the right leg of the trapezoid, when x>=d, μ(x)=0.

[0067] The mathematical definition (piecewise function) is as follows.

[0068]

[0069] Alternatively, the model parameters from the first level to the fifth level can be represented by (a, b, c) or (a, b, c, d) described above.

[0070] Specifically, when the target index level evaluation model is a trapezoidal function, the model parameters are (a, b, c, d); when the target index level evaluation model is a triangular function, the model parameters are (a, b, c).

[0071] Based on this, the following takes the target index level evaluation model corresponding to the first level and the fifth level as a trapezoidal function, and the target index level evaluation model of the second level, the third level and the fourth level as a triangular function as an example. The model parameters of the target index level evaluation model of each target level index are described as follows. The first level to the fifth level are excellent, good, medium, poor and very poor.

[0072] For the five levels of U1 relative heat transfer coefficient, the model parameters (a, b, c) or (a, b, c, d) from the first level to the fifth level correspond to (1.02, 1.05, 999, 999), (1.00, 1.025, 1.05), (0.95, 1.00, 1.05), (0.90, 0.95, 1.00) and (0, 0, 0.90, 0.95) respectively.

[0073] For the five levels of U2 relative pressure drop, the model parameters (a, b, c) or (a, b, c, d) from the first level to the fifth level correspond to (0, 0, 0.85, 0.95), (0.85, 0.95, 1.05), (0.95, 1.05, 1.15), (1.05, 1.15, 1.25), (1.15, 1.25, 999, 999) respectively.

[0074] For the five levels of U3 fouling thermal resistance, the model parameters (a, b, c) or (a, b, c, d) from the first level to the fifth level correspond to (0, 0, 0.1, 0.2), (0.1, 0.2, 0.3), (0.2, 0.4, 0.6), (0.5, 0.7, 0.9), (0.8, 0.9, 1.0, 1.0) respectively.

[0075] For the five levels of U4 relative to the upper end difference and U5 relative to the lower end difference, the model parameters of the first level to the fifth level are the same, and the model parameters (a, b, c) or (a, b, c, d) of each level correspond to (0.90, 1.00, 1.10), (0.85, 0.95, 1.05, 1.15), (0.80, 0.90, 1.10, 1.20), (0.70, 0.80, 1.20, 1.30), (0, 0, 0.70, 1.30, 999, 999) respectively.

[0076] For the five levels of U6 flow matching degree, the model parameters (a, b, c) or (a, b, c, d) of the first level to the fifth level correspond to (0, 0, 0.05, 0.10), (0.05, 0.10, 0.15), (0.10, 0.15, 0.20), (0.15, 0.20, 0.25), (0.20, 0.25, 999, 999) respectively.

[0077] For the five levels of U7 running stability, the model parameters (a, b, c) or (a, b, c, d) of the first level to the fifth level correspond to (0, 0, 1, 2), (1, 2, 3), (2, 3, 5), (3, 5, 7), (5, 7, 999, 999) respectively.

[0078] For the five levels of U8 relative maintenance period, the model parameters (a, b, c) or (a, b, c, d) of the first level to the fifth level correspond to (0, 0, 0.8, 1.0), (0.8, 1.0, 1.2), (1.0, 1.2, 1.4), (1.2, 1.4, 1.6), (1.4, 1.6, 999, 999) respectively.

[0079] S13, for any target energy efficiency index parameter in the multi-target energy efficiency index parameter, a plurality of target index level evaluation models in the set of any target index level evaluation models are adopted to determine a plurality of first target membership degrees of any target energy efficiency index parameter.

[0080] S14, according to the plurality of first target membership degrees corresponding to the plurality of target energy efficiency index parameters respectively and the index weight of the plurality of target energy efficiency indexes, a comprehensive index result is determined.

[0081] The comprehensive index result represents the maximum membership degree weighted result.

[0082] Optionally, the index weight is determined based on the established single-factor fuzzy evaluation matrix (R).

[0083] Weight vector A=(a1,a2,...,a n ) represents the relative importance of each factor Ui, where the weights of each index in the weight vector satisfy ∑a i =1(0≤a i ≤1).

[0084] The weights of the above indicators are determined as follows.

[0085] The first method is to use the expert scoring method (Delphi method) to determine the weight of the indicators: invite multiple experts in the field to score independently, and process the results comprehensively (such as taking the average and removing extreme values).

[0086] The second method is to use the Analytic Hierarchy Process (AHP) to determine the indicator weights: systematically compare the relative importance of evaluation factors, construct a judgment matrix, and calculate the eigenvectors of the judgment matrix to obtain the indicator weights of the evaluation factors.

[0087] The third method is to determine the weight of the indicators using the entropy weight method: the weight of the indicators is objectively calculated based on the degree of dispersion (information entropy) of the data of each evaluation factor.

[0088] The fourth method uses a combined weighting approach to determine indicator weights: Method weights are assigned to the three methods mentioned above—expert scoring, analytic hierarchy process (AHP), and entropy weighting. Based on these assigned method weights, the indicator weights from the three methods are weighted and summed. The weighted sum is then used as the final indicator weight. Furthermore, the principle of maximum membership is applied to select b. j The highest median value, Vk, is used as the final energy efficiency level.

[0089] S15. Based on the comprehensive index results, determine whether the heat exchanger under test is in an abnormal state.

[0090] The evaluation model for each target indicator level is a continuous membership function.

[0091] By the heat exchanger energy efficiency detection method, in order to simultaneously consider multiple physical parameters related to each other and even mutually restricted which affect energy efficiency, the energy efficiency index parameters of multiple target energy efficiency indexes of the to-be-detected heat exchanger are comprehensively detected and evaluated, so that the final comprehensive evaluation result can comprehensively and truly reflect the comprehensive energy efficiency state of the heat exchanger in system operation. Multiple index level evaluation models under multiple energy efficiency levels are set for each target energy efficiency index. Based on this, a specific energy efficiency index parameter value (such as a relative heat transfer coefficient of 1.01) simultaneously represents multiple membership degrees under multiple index evaluation levels in different "degrees", so that multiple first target membership degrees of a single index parameter can simultaneously reflect multiple level characteristics. Therefore, based on the multiple first target membership degrees and weights of the energy efficiency index parameters, the comprehensive index result determined can accurately reflect the subtle differences and real transitions of the device performance near the critical state, fundamentally eliminating the evaluation distortion and decision rigidity caused by the "hard boundary", and realizing a scientific evaluation more in line with human complex cognition and objective reality.

[0092] As a comprehensive index determination method, the specific process of determining the comprehensive index result in step S14 is as follows.

[0093] Firstly, the second target membership degree with the maximum membership degree is determined from the multiple first target membership degrees of any target energy efficiency index parameter.

[0094] Secondly, the second target membership degrees corresponding to the target energy efficiency index parameters of the target energy efficiency indexes are weighted and summed with the index weights of the target energy efficiency indexes, to obtain the comprehensive index result.

[0095] Based on this embodiment, according to the comprehensive index result, the specific process of determining whether the to-be-detected heat exchanger is abnormal is as follows.

[0096] Firstly, it is detected that the comprehensive index result is in the preset index range, it is determined that the index of the to-be-detected heat exchanger is abnormal, and first indication information is sent.

[0097] Secondly, it is detected that the comprehensive index result is out of the preset index range, it is determined that the index of the to-be-detected heat exchanger is normal, and second indication information is sent.

[0098] As another comprehensive index determination method, the specific process of determining the comprehensive index result in step S14 is as follows.

[0099] Firstly, the first target membership degrees of the multiple target energy efficiency index parameters under each target index level are weighted and summed with the index weights of the target energy efficiency indexes, to obtain the candidate index result under each target index level.

[0100] Secondly, from the candidate indicator results under multiple target indicator levels, the target indicator level corresponding to the candidate indicator result with the largest weighted result is selected and determined as the comprehensive indicator result.

[0101] Based on this implementation method, the specific process for determining whether the heat exchanger under test is in an abnormal state according to the comprehensive index results is as follows.

[0102] The first method involves determining that the indicator of the heat exchanger under test is abnormal when the target indicator level indicated by the comprehensive indicator result is within the abnormal level range, and sending the first indication information.

[0103] The abnormality level can range from level four to level five.

[0104] The first indication can vary depending on the range of the anomaly level.

[0105] The second method involves determining that the heat exchanger under test is operating normally when the target indicator level indicated by the comprehensive indicator results is within the normal range, and then sending a second indication message.

[0106] The normal level range can be from level one to level three. The second indication information can vary depending on the normal level range.

[0107] In some implementations, the analytic hierarchy process (AHP) is used to determine the weights of each indicator in a multi-objective energy efficiency index.

[0108] In some implementations, a first association and a second association are established. Based on the first association between heat exchanger type and energy efficiency index, multiple target energy efficiency indexes associated with the target heat exchanger type are determined.

[0109] Alternatively, based on the second correlation between energy efficiency indicators, indicator levels, and level evaluation models, the target indicator level evaluation models associated with each target energy efficiency indicator in the multiple target indicator levels can be determined to obtain a set of target indicator level evaluation models.

[0110] To achieve the above functions, the heat exchanger energy efficiency testing device includes corresponding hardware structures and / or software modules for performing each function. Those skilled in the art will readily recognize that, based on the algorithmic steps of the examples described in conjunction with the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0111] This application embodiment also provides a method such as Figure 2The heat exchanger energy efficiency testing device shown is applied to a centralized heating system, which includes multiple heat exchangers. The heat exchanger energy efficiency testing device includes: an acquisition unit 21, a membership determination unit 22, a comprehensive index determination unit 23, and an early warning unit 24.

[0112] The acquisition unit 21 is configured to acquire the multi-target energy efficiency index parameters corresponding to the multi-target energy efficiency index of the heat exchanger under test.

[0113] Membership determination unit 22 is configured to determine the set of target indicator level evaluation models associated with each target energy efficiency indicator in the multi-target energy efficiency indicators; for any target energy efficiency indicator parameter in the multi-target energy efficiency indicator parameters, multiple target indicator level evaluation models of the set of target indicator level evaluation models are used to determine multiple first target membership degrees of any target energy efficiency indicator parameter.

[0114] A set of target indicator level evaluation models includes multiple target indicator level evaluation models; multiple target indicator level evaluation models correspond one-to-one with multiple target indicator levels; the target indicator level evaluation model is used to determine the membership degree of the target indicator parameter under the corresponding target indicator level.

[0115] The comprehensive index determination unit 23 is configured to determine the comprehensive index result based on the membership degrees of multiple first targets corresponding to the parameters of the multi-target energy efficiency indicators and the weights of each indicator of the multi-target energy efficiency indicators; the comprehensive index result represents the maximum weighted membership degree result.

[0116] The early warning unit 24 is configured to determine whether the heat exchanger under test is in an abnormal state based on the comprehensive index results.

[0117] In one implementation, the comprehensive index determination unit 23 is specifically configured to: determine the second target membership degree with the largest membership degree among the multiple first target membership degrees of any target energy efficiency index parameter; and perform a weighted summation of each second target membership degree corresponding to the target energy efficiency index parameter of each target energy efficiency index with each index weight of each target energy efficiency index to obtain the comprehensive index result.

[0118] In another implementation, the comprehensive index determination unit 23 is specifically configured to: perform a weighted summation of the membership degree of each first target under each target index level of the multi-target energy efficiency index parameters with the weights of each target energy efficiency index to obtain the candidate index results under each target index level; and select the target index level corresponding to the candidate index result with the largest weighted result from the candidate index results under multiple target index levels, and determine it as the comprehensive index result.

[0119] In another embodiment, the early warning unit 24 is specifically configured to: detect that the comprehensive index result is within the preset index range, determine that the index of the heat exchanger under test is abnormal, and send a first indication message; detect that the comprehensive index result exceeds the preset index range, determine that the index of the heat exchanger under test is operating normally, and send a second indication message.

[0120] In another embodiment, the early warning unit 24 is specifically configured to: determine that the indicator of the heat exchanger under test is abnormal when the target indicator level indicated by the comprehensive indicator result is within the abnormal level range, and send a first indication message; and determine that the indicator of the heat exchanger under test is operating normally when the target indicator level indicated by the comprehensive indicator result is within the normal level range, and send a second indication message.

[0121] In another implementation, the multiple target indicator levels include a first level, a second level, a third level, a fourth level, and a fifth level, ranked from best to worst; the target indicator level evaluation model associated with the first level and the fifth level is a trapezoidal function, and the target indicator level evaluation model associated with the second level, the third level, and the fourth level is a triangular function; the model parameters of the target level evaluation model for different target energy efficiency indicators at the same target indicator level are different; the membership determination unit 22 is specifically configured to: use the analytic hierarchy process (AHP) to determine the weights of each indicator of the multiple target energy efficiency indicators.

[0122] In another embodiment, the membership determination unit 22 is specifically configured to: determine multiple target energy efficiency indicators associated with the target heat exchanger type based on a first correlation between heat exchanger type and energy efficiency indicators; the target heat exchanger type includes plate heat exchangers, shell-and-tube heat exchangers, coaxial heat exchangers, and finned tube heat exchangers; the multiple target energy efficiency indicators include one or more of the following: relative heat transfer coefficient, relative pressure drop, relative fouling thermal resistance, relative upper end difference, relative lower end difference, flow matching degree, operational stability, and relative maintenance cycle; and, based on a second correlation between energy efficiency indicators, indicator levels, and level evaluation models, determine the target indicator level evaluation models associated with each target energy efficiency indicator at each of the multiple target indicator levels, so as to obtain a set of target indicator level evaluation models.

[0123] Regarding the apparatus in the above embodiments, the specific manner in which each unit module performs its operations has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0124] Figure 3 This is a schematic diagram of a heat exchanger energy efficiency testing device provided in this application. Figure 3 The heat exchanger energy efficiency testing device 50 includes: a first processor 501, a communication bus 502, a memory 503, a communication interface 504, an output device 505, an input device 506, and a second processor 507.

[0125] The heat exchanger energy efficiency testing device 50 may include at least one first processor 501 and a memory 503 for storing processor-executable instructions. The first processor 501 is configured to execute the instructions in the memory 503 to implement the heat exchanger energy efficiency testing method in the following embodiments.

[0126] In addition, the heat exchanger energy efficiency testing device 50 may also include a communication bus 502, at least one communication interface 504, an input device 506, and an output device 505.

[0127] The first processor 501 may be a processor (central processing unit, CPU), a microprocessor unit, an ASIC, or one or more integrated circuits for controlling the execution of programs according to the present application.

[0128] The communication bus 502 may include a path for transmitting information between the aforementioned components.

[0129] Communication interface 504 uses any transceiver-like device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0130] Input device 506 is used to receive input signals and output device 505 is used to output signals.

[0131] Memory 503 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed discs, laser discs, optical discs, digital universal discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. Memory may exist independently and be connected to the processing unit via a bus. Memory may also be integrated with the processing unit.

[0132] The memory 503 stores instructions for executing the scheme of this application, and the execution is controlled by the first processor 501. The first processor 501 executes the instructions stored in the memory 503 to realize the functions of the method of this application.

[0133] In a specific implementation, as one example, the first processor 501 may include one or more CPUs, for example... Figure 3 CPU0 and CPU1 in the CPU.

[0134] In a specific implementation, as one example, the heat exchanger energy efficiency testing device 50 may include multiple processors, such as... Figure 3 The first processor 501 and the second processor 507 are described. Each of these processors can be a single-core processor or a multi-core processor. A processor here can refer to one or more devices, circuits, and / or processing cores used to process data (such as computer program instructions).

[0135] The heat exchanger energy efficiency testing equipment, such as Figure 3 The diagram includes a first processor 501 and a memory 503 for storing executable instructions of the first processor 501. The first processor 501 is configured to execute the executable instructions to implement the heat exchanger energy efficiency detection method as described in any of the possible embodiments above. Since the same technical effects can be achieved, further details are omitted here to avoid repetition.

[0136] This application also provides a computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by the processor of a heat exchanger energy efficiency testing device, the heat exchanger energy efficiency testing device is able to perform the heat exchanger energy efficiency testing method as described in any of the possible embodiments above. And it can achieve the same technical effect; to avoid repetition, it will not be described again here.

[0137] This application also provides a computer program product, including a computer program or instructions, which are executed by a processor as described in any of the possible embodiments of the heat exchanger energy efficiency detection method above. Furthermore, it achieves the same technical effects, and to avoid repetition, it will not be described again here.

[0138] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0139] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for testing the energy efficiency of a heat exchanger, characterized in that, Applied to a centralized heating system, the centralized heating system including multiple heat exchangers, the method includes: Obtain the multi-target energy efficiency index parameters corresponding to the multi-target energy efficiency indexes of the heat exchanger under test; Each of the multiple target energy efficiency indicators is associated with a set of target indicator level evaluation models; one set of target indicator level evaluation models includes multiple target indicator level evaluation models; the multiple target indicator level evaluation models correspond one-to-one with multiple target indicator levels; the target indicator level evaluation models are used to determine the membership degree of the target indicator parameter under the corresponding target indicator level; for any target energy efficiency indicator parameter among the multiple target energy efficiency indicator parameters, multiple target indicator level evaluation models from any target indicator level evaluation model set are used to determine multiple first target membership degrees of the any target energy efficiency indicator parameter; Based on the membership degrees of the multiple first targets corresponding to the parameters of the multiple target energy efficiency indicators and the weights of each indicator of the multiple target energy efficiency indicators, a comprehensive indicator result is determined; the comprehensive indicator result represents the maximum weighted membership degree result. Based on the comprehensive index results, it is determined whether the heat exchanger under test is in an abnormal state.

2. The method according to claim 1, characterized in that, The step of determining the comprehensive index result based on the membership degrees of multiple first targets corresponding to the parameters of the multiple target energy efficiency indicators and the weights of each indicator of the multiple target energy efficiency indicators includes: From the multiple first target membership degrees of any one of the target energy efficiency index parameters, determine the second target membership degree with the largest membership degree among the multiple first target membership degrees; The comprehensive index result is obtained by weighting and summing the membership degrees of each second objective corresponding to the target energy efficiency index parameters of each target energy efficiency index with the weights of each target energy efficiency index.

3. The method according to claim 1, characterized in that, The step of determining the comprehensive index result based on the membership degrees of multiple first targets corresponding to the parameters of the multiple target energy efficiency indicators and the weights of each indicator of the multiple target energy efficiency indicators includes: The membership degree of each first target under each target indicator level of the multi-target energy efficiency index parameter is weighted and summed with the weight of each indicator of each target energy efficiency index to obtain the candidate index results under each target indicator level. From the candidate indicator results under multiple target indicator levels, the target indicator level corresponding to the candidate indicator result with the largest weighted result is selected and determined as the comprehensive indicator result.

4. The method according to claim 2, characterized in that, The step of determining whether the heat exchanger under test is in an abnormal state based on the comprehensive index results includes: If the comprehensive index result is detected to be within the preset index range, it is determined that the index of the heat exchanger under test is abnormal, and a first indication message is sent. If the comprehensive index result is detected to exceed the preset index range, it is determined that the index operation of the heat exchanger under test is normal, and a second indication message is sent.

5. The method according to claim 3, characterized in that, The step of determining whether the heat exchanger under test is in an abnormal state based on the comprehensive index results includes: When the target index level indicated by the comprehensive index result is within the abnormal level range, it is determined that the index of the heat exchanger under test is abnormal, and a first indication message is sent. When the target index level indicated by the comprehensive index result is within the normal range, it is determined that the index operation of the heat exchanger under test is normal, and a second indication message is sent.

6. The method according to claims 1 to 5, characterized in that, The multiple target indicator levels include a first level, a second level, a third level, a fourth level, and a fifth level, ranked from best to worst; the target indicator level evaluation model associated with the first level and the fifth level is a trapezoidal function, and the target indicator level evaluation model associated with the second level, the third level, and the fourth level is a triangular function; the model parameters of the target level evaluation model for different target energy efficiency indicators are different at the same target indicator level; The method further includes: using the analytic hierarchy process (AHP) to determine the weights of each of the multiple target energy efficiency indicators.

7. The method according to claims 1 to 5, characterized in that, The method further includes: Based on the first correlation between heat exchanger type and energy efficiency index, the multiple target energy efficiency indexes associated with the target heat exchanger type are determined; the target heat exchanger type includes plate heat exchanger, shell and tube heat exchanger, coaxial heat exchanger and finned tube heat exchanger, and the multiple target energy efficiency indexes include one or more of the following: relative heat transfer coefficient, relative pressure drop, relative fouling thermal resistance, relative upper end difference, relative lower end difference, flow matching degree, operating stability and relative maintenance cycle; Based on the second correlation between energy efficiency indicators, indicator levels, and level evaluation models, the target indicator level evaluation models associated with each target energy efficiency indicator in the multiple target indicator levels are determined to obtain the target indicator level evaluation model set.

8. A heat exchanger energy efficiency testing device, characterized in that, Applied to a centralized heating system, the centralized heating system including multiple heat exchangers, the device includes: The acquisition unit is configured to acquire the multi-target energy efficiency index parameters corresponding to the multi-target energy efficiency indexes of the heat exchanger under test. The membership determination unit is configured to determine the set of target indicator level evaluation models associated with each target energy efficiency indicator among the multiple target energy efficiency indicators; one set of target indicator level evaluation models includes multiple target indicator level evaluation models; the multiple target indicator level evaluation models correspond one-to-one with multiple target indicator levels; the target indicator level evaluation models are used to determine the membership degree of the target indicator parameter under the corresponding target indicator level; for any target energy efficiency indicator parameter among the multiple target energy efficiency indicator parameters, multiple first target membership degrees of the target energy efficiency indicator parameter are determined by using multiple target indicator level evaluation models of any target indicator level evaluation model set; The comprehensive index determination unit is configured to determine the comprehensive index result based on the membership degrees of multiple first targets corresponding to the parameters of the multiple target energy efficiency indicators and the weights of each indicator of the multiple target energy efficiency indicators; the comprehensive index result represents the maximum weighted membership degree result. The early warning unit is configured to determine whether the heat exchanger under test is in an abnormal state based on the comprehensive index results.

9. A centralized heating system, characterized in that, The centralized heating system includes multiple heat exchangers, and the system is configured to perform the heat exchanger energy efficiency testing method as described in any one of claims 1-7.

10. A computer-readable storage medium storing instructions thereon, characterized in that, When the instructions in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device is able to perform the heat exchanger energy efficiency testing method as described in any one of claims 1-7.

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