Purification equipment efficiency evaluation method and device, electronic equipment and storage medium

Abstract

The invention provides a purification equipment efficiency evaluation method and device, electronic equipment and a storage medium, and relates to the technical field of urban drainage, and the method comprises the steps: obtaining target index data corresponding to purification equipment; determining an index weight corresponding to the target index data; and performing efficiency evaluation on the purification equipment according to the index weight and the target index data to obtain an efficiency evaluation result of the purification equipment. According to the method, multi-level parameter analysis is carried out on the purification device, so that the subsequently obtained efficiency evaluation result can accurately and truly reflect the efficiency condition of the purification device, and the finally determined efficiency evaluation result is ensured to have fairness, objectivity and comprehensiveness.

Description

Technical Field

[0001] The present invention relates to the field of urban drainage technology, and in particular to a purification equipment efficiency evaluation method, device, electronic equipment and storage medium. Background Art

[0002] In actual applications, there are many purification equipment at the end of drainage pipe networks in various parts of the city, such as physical isolation equipment, high-throughput filtration equipment, flocculation sedimentation equipment and membrane filtration equipment. The performance of various purification equipment products, such as pollutant removal efficiency, operating cost, and construction cost, varies.

[0003] However, there is currently a lack of a unified evaluation method for purification equipment, which makes it impossible to conduct an objective and unified performance evaluation of various types of purification equipment. Summary of the invention

[0004] In view of this, an object of the present invention is to provide a purification equipment performance evaluation method and device for achieving objective and unified performance evaluation of various purification equipment.

[0005] In a first aspect, an embodiment of the present invention provides a method for evaluating the performance of purification equipment, comprising: obtaining target indicator data corresponding to the purification equipment; determining an indicator weight corresponding to the target indicator data; and performing performance evaluation on the purification equipment according to the indicator weight and the target indicator data to obtain a performance evaluation result of the purification equipment.

[0006] In a preferred embodiment of the present invention, the above-mentioned obtaining the target indicator data corresponding to the purification equipment includes: obtaining initial indicator data corresponding to the purification equipment; and performing data processing on the initial indicator data to obtain the target indicator data corresponding to the purification equipment.

[0007] In a preferred embodiment of the present invention, the above-mentioned data processing of the initial indicator data to obtain the target indicator data corresponding to the purification equipment includes: normalizing the initial indicator data to obtain the target indicator data corresponding to the purification equipment.

[0008] In a preferred embodiment of the present invention, the above-mentioned index data includes at least one of performance index data, cost index data and design index data.

[0009] In a preferred embodiment of the present invention, the above performance index data is the pollutant removal load based on the following calculation formula: Among them, L ij is the pollutant removal load (kg / m3 / h), C ij-in is the pollutant concentration of the equipment inlet (kg / m3), C ij-out is the pollutant concentration of the equipment outlet water (kg / m3), Q j is the water intake of the equipment (m3 / h), Vi is the effective volume of the equipment (m3), is the type of pollutant, and j is the time series value.

[0010] In a preferred embodiment of the present invention, the above-mentioned cost indicator data include at least one of the construction cost of the purification equipment for the unit maximum design water volume, the drug consumption cost for the unit treated water volume during the operation of the purification equipment, the energy consumption cost for the unit treated water volume during the operation of the purification equipment, and the labor cost for the unit treated water volume during the operation of the purification equipment.

[0011] In a preferred embodiment of the present invention, the above-mentioned design index data includes at least one of the equipment footprint and the equipment design life.

[0012] In a second aspect, an embodiment of the present invention further provides a purification equipment performance evaluation device, comprising: an acquisition module, used to acquire target indicator data corresponding to the purification equipment; a determination module, used to determine the indicator weight corresponding to the target indicator data; an evaluation module, used to evaluate the performance of the purification equipment according to the indicator weight and the target indicator data, and obtain the performance evaluation result of the purification equipment.

[0013] In a third aspect, an embodiment of the present invention further provides an electronic device, including a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the purification equipment efficiency evaluation method of the first aspect mentioned above.

[0014] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the purification equipment efficiency evaluation method of the first aspect mentioned above.

[0015] The embodiments of the present invention bring the following beneficial effects:

[0016] The embodiment of the present invention provides a purification equipment performance evaluation method, device, electronic device and storage medium, by determining the target indicator data corresponding to the purification equipment, and the indicator weight corresponding to the target indicator data; the purification equipment is evaluated according to the indicator weight and the target indicator data, and the performance evaluation result of the purification equipment is obtained. According to the above content, in the process of performance evaluation of the purification device, the present application fully considers the target indicator data of the purification device at various levels, and achieves the purpose of performance evaluation of the purification equipment according to the indicator weight corresponding to each target indicator data; because in the process of performance evaluation of the purification device, the target indicator data uniformly specified is used, and the parameter analysis of the purification device at multiple levels is realized, so that the subsequent performance evaluation results can accurately and truly reflect the performance of the purification device, ensuring that the final performance evaluation results are fair, objective and comprehensive.

[0017] Other features and advantages of the present disclosure will be set forth in the following description, or some features and advantages may be inferred or unambiguously determined from the description, or may be learned by implementing the above-mentioned technology of the present disclosure.

[0018] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 A flow chart of a purification equipment efficiency evaluation method provided by an embodiment of the present invention;

[0021] Figure 2 A flow chart of another purification equipment efficiency evaluation method provided by an embodiment of the present invention;

[0022] Figure 3 A flow chart of another purification equipment efficiency evaluation method provided by an embodiment of the present invention;

[0023] Figure 4 A schematic diagram of the structure of a purification equipment efficiency evaluation device provided by an embodiment of the present invention;

[0024] Figure 5 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] The control of overflow pollution in the rainy season is an important direction for the current comprehensive management of the water environment. For sewage treatment plants, rainwater will flow into the combined sewer network during short-term heavy rainfall, or enter the separate sewage network through the rainwater and sewage mixed interface, causing the terminal sewage plant to bear excessive inlet pressure, further shortening the residence time of the sewage plant structure, causing the sewage plant to overload, and at the same time, it will also cause the sewage plant inlet concentration to decrease, and the microorganisms will not get enough carbon source, causing the biological treatment system to collapse, and the sewage plant effluent concentration to exceed the standard. At the same time, for water bodies, short-term heavy rainfall will cause the overflow of rainwater from the stormwater outlet, further causing the water body to turn black and smelly. Recently, the Ministry of Ecology and Environment and other five departments jointly issued the "Notice on Strengthening the Construction and Operation and Maintenance of Urban Domestic Sewage Pipelines", which specifically mentioned "promoting the reduction of the total amount of overflow pollution in the rainy season." Therefore, it is imperative to strengthen the construction of rapid purification facilities for overflow sewage in the rainy season.

[0027] According to incomplete statistics, there are many purification equipment at the end of the current drainage network, such as physical isolation equipment, high-throughput filtration equipment, flocculation sedimentation equipment, membrane filtration equipment, etc. The performance of various equipment products, such as pollutant removal efficiency, operating cost, and construction cost, varies. At the same time, due to differences in social and economic development, meteorological and hydrological conditions, and drainage network conditions in various regions, there are also large differences in the amount and quality of overflow rainwater and sewage in the drainage network. In addition, there is currently a lack of a unified evaluation method for purification equipment, which makes it impossible to conduct an objective and unified performance evaluation of various purification equipment.

[0028] Based on this, an embodiment of the present invention provides a purification equipment performance evaluation method, device, electronic device and storage medium, which can determine the target indicator data corresponding to the purification equipment, and the indicator weight corresponding to the target indicator data; realize the performance evaluation of the purification equipment according to the indicator weight and the target indicator data, and obtain the performance evaluation result of the purification equipment, thereby achieving the purpose of objectively and uniformly evaluating the performance of various types of purification equipment.

[0029] To facilitate understanding of this embodiment, a purification equipment efficiency evaluation method disclosed in an embodiment of the present invention is first introduced in detail.

[0030] Example 1

[0031] The embodiment of the present invention provides a purification equipment efficiency evaluation method. Figure 1 A flowchart of a purification equipment performance evaluation method provided by an embodiment of the present invention. Figure 1 As shown, the purification equipment performance evaluation method may include the following steps:

[0032] Step S101, obtaining target indicator data corresponding to purification equipment.

[0033] It should be noted that in order to ensure the accuracy of the subsequent performance evaluation of the purification equipment, this application needs to obtain the target indicator data corresponding to the purification device from multiple levels during the performance evaluation of the purification equipment, so as to ensure that the performance of the purification equipment can be evaluated based on the target indicator data at multiple levels, thereby ensuring the accuracy of the final performance evaluation results.

[0034] In one embodiment of the present application, when it is necessary to obtain target indicator data corresponding to purification equipment, a performance evaluation dimension for the purification equipment can be pre-specified, and the data type of the target indicator data corresponding to the purification device is recorded in the performance evaluation dimension. Then, according to the data type in the performance evaluation dimension, a corresponding data acquisition method is adopted to determine the target indicator data corresponding to the purification equipment.

[0035] Further explanation: In order to ensure the flexibility of energy efficiency evaluation for purification equipment, the present application can pre-set data requirements for different performance evaluation precisions, and different numbers of data types are recorded in different data requirements, and multiple data types recorded in different data requirements may have the same data type or different data types. Furthermore, when it is necessary to obtain the target indicator data corresponding to the purification equipment, the performance evaluation precision for the performance evaluation of the purification equipment can be determined in advance. After determining the performance evaluation precision, the data acquisition of the target indicator data for the data type is realized according to the data type recorded in the data requirement corresponding to the performance evaluation precision.

[0036] Step S102, determining the indicator weight corresponding to the target indicator data.

[0037] It should be noted that the indicator weight of the target indicator data is used to characterize the importance of the target indicator data in the process of determining the performance evaluation results of the purification equipment; specifically, if the indicator weight corresponding to a certain target indicator data is higher, it means that the target indicator data is more important in the process of determining the performance evaluation results of the purification equipment; on the contrary, if the indicator weight corresponding to a certain target indicator data is lower, it means that the target indicator data is less important in the process of determining the performance evaluation results of the purification equipment.

[0038] To further explain, when it is necessary to determine the indicator weight corresponding to the target indicator data, the indicator weight corresponding to the target indicator data can be determined based on a pre-set weight acquisition rule.

[0039] In one embodiment of the present application, if a weight mapping relationship is recorded in the weight acquisition rule, the weight mapping relationship records candidate weights corresponding to candidate indicator data of at least one data type, and then, when it is necessary to determine the indicator weight corresponding to the target indicator data, reference indicator data with the same data type as the target indicator data can be determined from the candidate indicator data recorded in the mapping relationship, and the candidate weight corresponding to the reference indicator data in the mapping relationship is used as the indicator weight corresponding to the target indicator data.

[0040] In another embodiment of the present application, when it is necessary to determine the indicator weights corresponding to the target indicator data, a judgment matrix can be constructed based on the target indicator data corresponding to the purification equipment, and then, based on the judgment matrix, the indicator weights corresponding to the target indicator data can be determined.

[0041] Specifically, the judgment matrix can be shown as follows:

[0042]

[0043] Among them, A is the judgment matrix, n is the matrix dimension, u ij Used to compare the indicator u i and u j The importance of u is determined by the Delphi method using the Saaty 1-9 scaling method; i and u j Used to characterize the target indicator data corresponding to purification equipment in different dimensions.

[0044] Furthermore, the steps of applying the sum-product method to calculate the weight vector and the maximum eigenvalue are as follows: normalize the elements contained in the judgment matrix, perform row addition on the normalized elements, and then solve the weight eigenvalue vector based on the added row vector to determine the maximum eigenvalue based on the weight eigenvalue vector.

[0045] The calculation formula for normalizing the elements contained in the judgment matrix is ​​as follows:

[0046]

[0047] The calculation formula for performing row addition processing on the normalized elements is as follows:

[0048]

[0049] Among them, the calculation formula for obtaining the weight feature vector based on the added row vector is as follows:

[0050]

[0051] Among them, the calculation formula for solving the maximum characteristic root according to the weighted characteristic vector is as follows:

[0052]

[0053] Furthermore, the judgment matrix can be checked for consistency according to the following formula.

[0054]

[0055]

[0056] Among them, CI is the consistency index, RI is the average random consistency index, and CR is the consistency ratio. When CR < 0.1, the consistency condition is met, and the indicators of each layer in the equipment effectiveness evaluation index system can be further determined.

[0057] Step S103, performing performance evaluation on the purification equipment according to the index weight and the target index data, and obtaining the performance evaluation result of the purification equipment.

[0058] It should be noted that when it is necessary to evaluate the performance of purification equipment based on the indicator weights and target indicator data, the target indicator data can be weighted averaged according to the indicator weights, and the resulting calculation result is the performance evaluation result of the purification equipment.

[0059] In one embodiment of the present application, if there are multiple target indicator data and the target indicator data contains at least two sub-data, the sub-data contained in each target indicator data can be weighted averaged according to the indicator weight, and the obtained calculation result is the performance evaluation result of the purification equipment.

[0060] In one embodiment of the present application, if there are multiple target indicator data and the target indicator data contains at least two sub-data, the target data corresponding to each target indicator data can be determined based on the sub-data contained in each target indicator data, and the target data of each target indicator data can be weighted averaged according to the indicator weight, and the obtained calculation result is the performance evaluation result of the purification equipment.

[0061] Among them, in the process of determining the target data corresponding to each target indicator data, each sub-data can be combined and operated based on a pre-set algorithm to obtain the target data corresponding to each target indicator data, wherein the preset algorithm can be set or adjusted according to actual conditions and the historical experience of the operation and maintenance personnel, and the preset algorithm is again not limited.

[0062] The above-mentioned purification equipment performance evaluation method determines the target indicator data corresponding to the purification equipment, and the indicator weight corresponding to the target indicator data; realizes the performance evaluation of the purification equipment according to the indicator weight and the target indicator data, and obtains the performance evaluation result of the purification equipment. According to the above content, it can be seen that in the process of performance evaluation of the purification device, the present application fully considers the target indicator data of the purification device at various levels, and realizes the purpose of performance evaluation of the purification equipment according to the indicator weight corresponding to each target indicator data; because in the process of performance evaluation of the purification device, the uniformly specified target indicator data is used, and the parameter analysis of the purification device is realized at multiple levels, so that the subsequent performance evaluation results can accurately and truly reflect the performance of the purification device, ensuring that the final performance evaluation results are fair, objective and comprehensive.

[0063] Example 2

[0064] The embodiment of the present invention provides another purification equipment performance evaluation method. Figure 2 A flowchart of another purification equipment efficiency evaluation method provided in an embodiment of the present invention.

[0065] In one embodiment, if Figure 2 As shown, when it is necessary to obtain the target indicator data corresponding to the purification equipment, the following contents may be specifically included:

[0066] Step S201, obtaining initial indicator data corresponding to the purification equipment.

[0067] The initial indicator data includes at least one of performance indicator data, cost indicator data and design indicator data.

[0068] Furthermore, the performance indicator data is the pollutant removal load. The cost indicator data includes at least one of the construction cost of the purification equipment for the unit maximum design water volume, the drug consumption cost for the unit treated water volume during the operation of the purification equipment, the energy consumption cost for the unit treated water volume during the operation of the purification equipment, and the labor cost for the unit treated water volume during the operation of the purification equipment. The design indicator data includes at least one of the equipment footprint and the equipment design life.

[0069] Step S202: Process the initial index data to obtain target index data corresponding to the purification equipment.

[0070] It should be noted that when data processing is required for the initial indicator data, it may specifically include the following contents: normalizing the initial indicator data to obtain target indicator data corresponding to the purification equipment.

[0071] In one embodiment of the present application, when the initial index data is needed, it can be divided into three layers in the vertical direction: primary index data, secondary index data, and tertiary index data; wherein, the primary index data is the highest level index, representing the purpose of decision-making and the problem to be solved, and is the comprehensive performance index of the equipment. The secondary index data is the middle layer, which is a bridge connecting the highest and lowest levels, and is divided into performance indicators, cost indicators, and design indicators in the horizontal direction. The third level index is the lowest level, and its various indicators belong to each of the secondary indicators. Among them, the performance index data is mainly the removal load of various pollutants during the operation of the equipment, including the removal load of suspended solids (SS), chemical oxygen demand (COD), ammonia nitrogen (NH4+-N), total nitrogen (TN), and total phosphorus (TP). The cost index data includes the construction cost of the purification equipment for the unit maximum design water volume, the drug consumption cost for the unit treatment water volume during the operation of the purification equipment, the energy consumption cost for the unit treatment water volume during the operation of the purification equipment, and the labor cost for the unit treatment water volume during the operation of the purification equipment. The design index data includes the equipment footprint and equipment design life corresponding to the unit maximum design water volume.

[0072] Specifically, before determining the performance indicator data, it is necessary to obtain the performance evaluation period (which may be the actual operation period of the equipment) corresponding to the performance indicator data, and then determine the pollutant removal load according to the parameters within the performance evaluation period.

[0073] The pollutant removal load calculation formula is as follows:

[0074]

[0075] Among them, L ij is the removal load of the above-mentioned pollutants after purification by the equipment (kg / m3 / h), C ij-in is the pollutant concentration of the equipment inlet (kg / m3), C ij-out is the pollutant concentration of the equipment outlet water (kg / m3), Q j is the water intake of the equipment (m3 / h), V i is the effective volume of the equipment (m3), i represents the type of pollutant, and j represents the time series value.

[0076] Furthermore, the removal load of each pollutant was normalized.

[0077] The normalization formula is as follows:

[0078]

[0079] Among them, L ij-norm is the pollutant removal load after normalization, min j (L ij ) is the minimum value of a pollutant removal load of all the equipment to be evaluated within its evaluation period, max j (L ij ) is the maximum value of a pollutant removal load of all the equipment to be evaluated during its evaluation period.

[0080] Furthermore, the normalized pollutant removal load is obtained as a mapping of the influent pollutant load, an expected value of the pollutant removal load is calculated based on the influent pollutant load probability, and the expected value is used as target indicator data corresponding to the performance indicator data.

[0081]

[0082]

[0083] Among them, ij is the probability of influent pollutant load, E i It is an indicator of the final pollutant removal load.

[0084] Specifically, in the process of determining the target indicator data corresponding to the cost indicator data, the construction cost of the purification equipment for the unit maximum design water volume, the drug consumption cost for the unit treated water volume during the operation of the purification equipment, the energy consumption cost for the unit treated water volume during the operation of the purification equipment, and the labor cost for the unit treated water volume during the operation of the purification equipment can be determined respectively, and the above costs are normalized, and then the processing results are used as the target indicator data corresponding to the cost indicator data.

[0085] The calculation formulas for determining the construction cost of the purification equipment for the maximum design water volume per unit, the drug consumption cost for the unit water volume treated during the operation of the purification equipment, the energy consumption cost for the unit water volume treated during the operation of the purification equipment, and the labor cost for the unit water volume treated during the operation of the purification equipment are as follows:

[0086]

[0087]

[0088] Among them, P con-norm , P age-norm , P pow-norm , P lab-norm are the normalized cost indicators, P con-max , P age-max , P pow-max , P lab-maxare the maximum cost of multiple operations of each equipment within the performance evaluation period, P con-min , P age-min , P pow-min , P lab-min are the minimum costs of multiple operations of each equipment within the performance evaluation period.

[0089] Furthermore, for each type of cost indicator, conversion and normalization are performed based on the maximum and minimum cost of multiple operations of each equipment within the performance evaluation cycle.

[0090]

[0091]

[0092] Among them, P con-norm , P age-norm , P pow-norm , P lab-norm are the normalized cost indicators, P con-max , P age-max , P pow-max , P lab-max are the maximum cost of multiple operations of each equipment within the performance evaluation period, P con-min , P age-min , P pow-min , P lab-min are the minimum costs of multiple operations of each equipment within the performance evaluation period.

[0093] Specifically, in the process of determining the target indicator data corresponding to the design indicator data, the equipment footprint can be determined and normalized, and the design life can be directly normalized, and the processed equipment footprint and equipment design life can be used as the target indicator data corresponding to the design indicator data.

[0094] The process of determining the equipment footprint and normalizing the equipment footprint is as follows:

[0095]

[0096] Among them, S is the equipment floor area per unit maximum design water volume (m2), S sum is the total equipment area (m 2 ), S norm is the equipment floor area per unit maximum design water volume after normalization, S max is the maximum design reference value for similar equipment, S min It is the minimum design reference value for similar equipment.

[0097] The process of directly normalizing the equipment design life is as follows:

[0098]

[0099] Among them, T norm is the normalized equipment design life, T is the actual equipment design life, T max is the maximum design reference value for similar equipment, T min It is the minimum design reference value for similar equipment.

[0100] The above purification equipment performance evaluation method obtains the initial index data corresponding to the purification equipment; then, the initial index data is processed to obtain the target index data corresponding to the purification equipment. In this way, multi-level parameter analysis of the purification device is realized, so that the subsequent performance evaluation results can accurately and truly reflect the performance of the purification device, ensuring that the final performance evaluation results are fair, objective and comprehensive.

[0101] Example 3

[0102] The embodiment of the present invention provides another purification equipment performance evaluation method. Figure 3 A flowchart of another purification equipment efficiency evaluation method provided in an embodiment of the present invention.

[0103] In one embodiment, if Figure 3 As shown, when it is necessary to determine the performance evaluation results of the purification equipment, the following contents may be specifically included:

[0104] Step S301, obtaining initial indicator data corresponding to the purification equipment.

[0105] Step S302, normalizing the initial index data to obtain target index data corresponding to the purification equipment.

[0106] Step S303: determine the indicator weight corresponding to the target indicator data.

[0107] Step S304: perform performance evaluation on the purification equipment according to the index weight and the target index data to obtain the performance evaluation result of the purification equipment.

[0108] In practical applications, three types of equipment can be selected: traditional coagulation sedimentation filtration, magnetic coagulation rapid purification, and ultrafiltration membrane filtration. Based on the constructed three-level indicator system for equipment performance evaluation, based on the Saaty1-9 scaling method, and scoring the indicators at each level, according to the basic process of the Delphi method, the weight judgment matrix of the indicators at each level is finally formed. Furthermore, the sum-product method is used to calculate the weight vector and the weight vector, and the final weight is clarified after the consistency test. The specific equipment level indicator weight table is shown in Table 1 below.

[0109] Based on the historical operation of the equipment, the operation data of the equipment for two consecutive years were obtained, including the time series monitoring data of the equipment's operating water intake and the concentration of multiple pollutants in the inlet and outlet water. Because the terminal purification equipment of the drainage network is characterized by intermittent operation, the equipment time series data is cleaned for abnormal data and zero values ​​are removed, and the removal load of each pollutant is calculated and normalized. Based on the basic principles of statistical analysis, the expected value of the removal load of each pollutant is calculated. Furthermore, after normalization and weighted calculation, the performance index values ​​of the three types of equipment are obtained. Similarly, based on the equipment construction and operation cost data, as well as the equipment design data, the cost index values, design index values ​​and comprehensive performance index values ​​of the three types of equipment are obtained. The equipment performance index value table is shown in Table 2 below.

[0110] Table 1: Equipment level indicator weight table

[0111]

[0112] Table 2: Equipment effectiveness index value table

[0113] Performance index value Cost index value Design index value Comprehensive index value Traditional coagulation sedimentation filtration 0.19 0.18 0.10 0.18 Magnetic coagulation rapid purification 0.49 0.10 0.27 0.37 Ultrafiltration membrane filtration 0.83 0.07 0.28 0.56

[0114] For example, the comprehensive index values ​​of traditional coagulation sedimentation filtration, magnetic coagulation rapid purification, and ultrafiltration membrane filtration equipment are 0.18, 0.37, and 0.56, respectively. Therefore, in engineering design selection, ultrafiltration membrane filtration equipment should be selected.

[0115] The above-mentioned purification equipment performance evaluation method determines the target indicator data corresponding to the purification equipment, and the indicator weight corresponding to the target indicator data; realizes the performance evaluation of the purification equipment according to the indicator weight and the target indicator data, and obtains the performance evaluation result of the purification equipment. According to the above content, it can be seen that in the process of performance evaluation of the purification device, the present application fully considers the target indicator data of the purification device at various levels, and realizes the purpose of performance evaluation of the purification equipment according to the indicator weight corresponding to each target indicator data; because in the process of performance evaluation of the purification device, the uniformly specified target indicator data is used, and the parameter analysis of the purification device is realized at multiple levels, so that the subsequent performance evaluation results can accurately and truly reflect the performance of the purification device, ensuring that the final performance evaluation results are fair, objective and comprehensive.

[0116] Example 4

[0117] Corresponding to the above method embodiment, the embodiment of the present invention provides a purification equipment efficiency evaluation device, Figure 4 A schematic diagram of a purification equipment efficiency evaluation device provided by an embodiment of the present invention is shown in FIG. Figure 4 As shown, the purification equipment performance evaluation device may include:

[0118] The acquisition module 401 is used to acquire target indicator data corresponding to the purification equipment.

[0119] The determination module 402 is used to determine the indicator weight corresponding to the target indicator data.

[0120] The evaluation module 403 is used to evaluate the performance of the purification equipment according to the indicator weights and the target indicator data, and obtain the performance evaluation results of the purification equipment.

[0121] The above-mentioned purification equipment performance evaluation device determines the target indicator data corresponding to the purification equipment, and the indicator weight corresponding to the target indicator data; it implements performance evaluation of the purification equipment according to the indicator weight and the target indicator data, and obtains the performance evaluation result of the purification equipment. According to the above content, in the process of performance evaluation of the purification device, the present application fully considers the target indicator data of the purification device at various levels, and achieves the purpose of performance evaluation of the purification equipment according to the indicator weight corresponding to each target indicator data; because in the process of performance evaluation of the purification device, the target indicator data uniformly specified is used, and parameter analysis of the purification device at multiple levels is implemented, so that the subsequent performance evaluation results can accurately and truly reflect the performance of the purification device, ensuring that the final performance evaluation results are fair, objective and comprehensive.

[0122] In some embodiments, initial indicator data corresponding to the purification equipment is obtained; and data processing is performed on the initial indicator data to obtain target indicator data corresponding to the purification equipment.

[0123] In some embodiments, the initial indicator data is normalized to obtain target indicator data corresponding to the purification equipment.

[0124] In some embodiments, the initial indicator data includes at least one of performance indicator data, cost indicator data, and design indicator data.

[0125] In some embodiments, the performance indicator data is a pollutant removal load based on the following calculation formula: Among them, L ij is the pollutant removal load (kg / m3 / h), C ij-in is the pollutant concentration of the equipment inlet (kg / m3), C ij-out is the pollutant concentration of the equipment outlet water (kg / m3), Q j is the water intake of the equipment (m3 / h), V i is the effective volume of the equipment (m3), is the type of pollutant, and j is the time series value.

[0126] In some embodiments, the cost indicator data includes at least one of the construction cost of the purification equipment per unit maximum design water volume, the drug consumption cost per unit treated water volume during the operation of the purification equipment, the energy consumption cost per unit treated water volume during the operation of the purification equipment, and the labor cost per unit treated water volume during the operation of the purification equipment.

[0127] In some embodiments, the design indicator data includes at least one of equipment footprint and equipment design life.

[0128] Example 5

[0129] The embodiment of the present invention also provides an electronic device for running the above purification equipment performance evaluation method; see Figure 5 A schematic diagram of the structure of an electronic device is shown, the electronic device includes a memory 500 and a processor 501, wherein the memory 500 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor 501 to implement the above-mentioned purification equipment efficiency evaluation method.

[0130] Further, Figure 5 The electronic device shown further includes a bus 502 and a communication interface 503 , and the processor 501 , the communication interface 503 and the memory 500 are connected via the bus 502 .

[0131] The memory 500 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 503 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 502 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0132] The processor 501 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 501. The above processor 501 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present invention can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 500, and the processor 501 reads the information in the memory 500 and completes the steps of the method of the above embodiment in combination with its hardware.

[0133] An embodiment of the present invention also provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned purification equipment efficiency evaluation method. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0134] The computer program product for the purification equipment efficiency evaluation method provided in the embodiment of the present invention includes a computer-readable storage medium storing a non-volatile program code executable by a processor. The instructions included in the program code can be used to execute the method in the previous method embodiment. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0135] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0136] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0137] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0138] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0139] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0140] Finally, it should be noted that the above embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A purification equipment performance evaluation method, characterized in that: The method comprises: Obtain target indicator data corresponding to purification equipment; Determine the indicator weight corresponding to the target indicator data; The performance of the purification equipment is evaluated according to the indicator weight and the target indicator data to obtain a performance evaluation result of the purification equipment.

2. The method according to claim 1, characterized in that The obtaining of target indicator data corresponding to the purification equipment includes: Obtain initial indicator data corresponding to the purification equipment; The initial indicator data is processed to obtain target indicator data corresponding to the purification equipment.

3. The method according to claim 2, characterized in that The processing of the initial index data to obtain target index data corresponding to the purification equipment includes: The initial index data is normalized to obtain target index data corresponding to the purification equipment.

4. The method according to claim 3, characterized in that The initial indicator data includes at least one of performance indicator data, cost indicator data and design indicator data.

5. The method according to claim 4, characterized in that The performance index data is the pollutant removal load based on the following calculation formula: Among them, L ij is the pollutant removal load (kg / m3 / h), C ij-in is the pollutant concentration of the equipment inlet (kg / m3), C ij-out is the pollutant concentration of the equipment outlet water (kg / m3), Q j is the water intake of the equipment (m3 / h), V i is the effective volume of the equipment (m3), is the type of pollutant, and j is the time series value.

6. The method according to claim 4, characterized in that The cost indicator data include at least one of the construction cost of the purification equipment for the unit maximum design water volume, the drug consumption cost for the unit treated water volume during the operation of the purification equipment, the energy consumption cost for the unit treated water volume during the operation of the purification equipment, and the labor cost for the unit treated water volume during the operation of the purification equipment.

7. The method according to claim 4, characterized in that The design index data includes at least one of the equipment footprint and the equipment design life.

8. A purification equipment performance evaluation device, characterized in that: The device comprises: An acquisition module is used to obtain target indicator data corresponding to the purification equipment; A determination module, used to determine the indicator weight corresponding to the target indicator data; An evaluation module is used to evaluate the performance of the purification equipment according to the indicator weight and the target indicator data to obtain the performance evaluation result of the purification equipment.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the purification equipment efficiency evaluation method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the purification equipment efficiency evaluation method according to any one of claims 1 to 7.

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