Intelligent port construction evaluation index system and model based on UIPDS

Abstract

The invention provides a UIPDS-based wisdom port construction evaluation index system and model, and relates to the field of port trade, and the system comprises the following steps: S1, selecting a plurality of wisdom port objects to be evaluated; s2, initializing a dimension weight vector; s3, quantifying the characteristics of the port area and the characteristics of the business level; s4, obtaining a weight adjustment vector according to a weight adjustment rule; s5, adaptively calculating an evaluation dimension weight; s6, carrying out weight normalization calculation; s7, initializing an intelligent port evaluation matrix; s8, scoring each index to obtain an original evaluation matrix; s9, performing dimensionless processing on the index scoring data to obtain a standard evaluation matrix; and S10, calculating an intelligent port construction evaluation score. By emphatically considering whether the evaluation index system promotes the digital transformation and upgrading of the port and the digital, intelligent and convenient levels in multiple aspects, the evaluation index system is more suitable for the actual requirements of the construction of the intelligent port.

Description

Technical Field

[0001] The present invention relates to the field of port trade technology, and in particular to an evaluation index system and model for smart port construction based on UIPDS. Background Art

[0002] Smart ports use advanced information technology and intelligent means to upgrade traditional ports to improve customs clearance efficiency, management level and service quality. In the promotion of the construction of smart ports, emphasis is placed on improving the comprehensive service capabilities and efficiency of ports, focusing on the intelligent upgrade of port facilities and equipment, the integration and sharing of information resources, and the optimization and innovation of customs clearance processes. It presents the characteristics of five dimensions: comprehensive services, facilities and equipment, port supervision, operation management, and regional cooperation. The current research on the port evaluation index system has not been carried out around the five dimensions proposed, and the smart port evaluation index system constructed by the present invention, which includes ubiquity, intelligence, precision, digitization, and systematization, is closely in line with the evaluation needs of smart ports, and can comprehensively evaluate the construction level and development results of smart ports, and is suitable for providing a basis for the construction decision of smart ports.

[0003] The existing smart port evaluation index system has the following main defects: first, the evaluation indicators are not selected from the perspective of smart port construction, resulting in the results being unable to accurately reflect the construction effectiveness of the smart ports; second, the evaluation scores are highly dependent on the subjective experience and judgment of the scoring experts, and lack quantifiable objective indicators, which reduces the objectivity of the evaluation; finally, there is a lack of adaptive evaluation models, and the weights of evaluation indicators cannot be reasonably adjusted according to the situation of the port. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides an evaluation index system and model for smart port construction based on UIPDS, which solves the problem that the current smart port evaluation system generally lacks objectively quantifiable evaluation indicators that are applicable to smart port construction. In addition, the existing evaluation model lacks adaptability and cannot dynamically adjust the weight of evaluation indicators according to the business and regional characteristics of different ports.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an evaluation index system and model for smart port construction based on UIPDS, the evaluation index system and model include the calculation of the evaluation matrix and the calculation of the weight vector, specifically including the following steps:

[0006] Step 1: Select several smart port objects to be evaluated and record the number;

[0007] Step 2: Initialize the dimension weight vector;

[0008] Step 3: Quantify the characteristics of port area and business level;

[0009] Step 4: According to the quantized value and the weight adjustment rule, a weight adjustment vector is obtained;

[0010] Step 5: Adaptively calculate the evaluation dimension weights based on the weight vector;

[0011] Step 6: Perform weight normalization calculation based on the weight result of adaptive calculation;

[0012] Step 7: Initialize the smart port evaluation matrix;

[0013] Step 8: Collect the platform data of the port to be evaluated, score each indicator according to the UIPDS evaluation index system, and obtain the original evaluation matrix;

[0014] Step 9: Perform dimensionless processing on the indicator scoring data to make it meet the evaluation calculation requirements and obtain the standard evaluation matrix;

[0015] Step 10: Calculate the smart port construction evaluation score based on the standard evaluation matrix and adaptive weight vector.

[0016] Preferably, step 2 is as follows:

[0017] The dimension weights include comprehensive service dimension, facility and equipment dimension, port supervision dimension, operation management dimension, and regional cooperation dimension. The dimension weight vector is W = [W1, W2, W3W4, W5], where W1, W2, W3, W4, and W5 are the dimension weights of comprehensive service dimension, facility and equipment dimension, port supervision dimension, operation management dimension, and regional cooperation dimension, respectively. The initial values ​​are set to W1 = 0.4, W2 = 0.2, W3 = 0.15, W4 = 0.15, and W5 = 0.15.

[0018] Preferably, step 3 comprises:

[0019] 1) Quantification of Regional Comprehensive Development Index (D)

[0020] The calculation formula of regional comprehensive development index is: D = k1 × regional economic development level + k2 × regional trade activity + k3 × regional policy support strength;

[0021] Among them, k1, k2, k3 are weight coefficients, and k1+k2+k3=1;

[0022] The calculation formula of regional economic development level is: L = (G / G max ) a×(Pi / Pi max ) b , and then through L / L max Mapped to the interval (0,1], where G is the regional per capita GDP, Pi is the proportion of high-end industries in the industrial structure, and G max is the largest per capita GDP value among the preset cities in the country, Pi max The largest proportion of high-end industries in the preset cities across the country;

[0023] The calculation formula of regional trade activity value is: A=(S / S max ) c ×(Np / Np max ) d , through the function A / A max Mapped to the interval (0,1], where S is the total import and export volume of the region, Np is the number of trading partners, and S max is the maximum total import and export volume of goods in the preset national ports, Np max The maximum number of trading partners among the ports in the region;

[0024] The formula for calculating the regional policy support strength is: E = F / F max , mapped to the interval (0,1], where F is the government's investment in port construction, F max The largest capital investment among the cities in the region;

[0025] 2) Quantification of port type (T)

[0026] Port types are divided into three discrete types: land ports (T = 0), water ports (T = 0.5), and air ports (T = 1);

[0027] 3) Quantification of port cargo throughput (C)

[0028] Assume that the cargo throughput of the port is Qt, and compare it with the largest cargo throughput Qt in the country. max By comparison, the freight throughput value C = Qt / Qt max , C is in the interval (0,1];

[0029] 4) Quantification of port passenger throughput (P)

[0030] Assume that the passenger throughput of the port is Pt, and compare it with the largest passenger throughput of the national ports Pt max By comparison, the passenger throughput value P = Pt / Pt max , P is in the interval (0,1];

[0031] 5) Quantification of regional development factor (B)

[0032] Assume that the number of ports in the coverage area of ​​the port is Na, and compare it with the maximum number of ports in the coverage area of ​​all ports in the country, Na max By comparison, we can get the regional development factor B = Na / Na max ,B is in the interval (0,1].

[0033] Preferably, step 4 is as follows:

[0034] Step 4-1, determine the value range of the quantified regional comprehensive development index D and freight throughput C, and calculate the weight adjustment vector y1; if the regional comprehensive development index D≤0.4, the freight throughput C≤0.4, then y1=[1-D*P*C, 1-D*C, 1, 1, 1]; if the regional comprehensive development index D>0.7, the freight throughput C>0.6, then y1=[1+D*P*C, 1+D*C, 1, 1, 1]; otherwise, y1=[1, 1, 1, 1, 1];

[0035] Step 4-2, determine the value range of the quantized passenger throughput P, ​​and calculate the weight adjustment vector y2; if the passenger throughput P≤0.3, y2=[1-P, 1+D*P, 1-P, 1+D*P, 1-B*P]; if the passenger throughput P>0.6, y2=[1+P, 1-D*P, 1+P, 1-D*P1+B*P]; otherwise, y2=[1, 1, 1, 1, 1];

[0036] Step 4-3, determine the value range of the quantitative regional economic development balance index B, and calculate the weight adjustment vector y3; if the regional economic development balance index B>0.5, then If the regional economic development balance index B≤0.5, then

[0037] Step 4-4, determine the value of the port type T and calculate the weight adjustment vector y4; if it is a land port, T = 0, If it is a water transport port, T = 0.5, If it is an air port, T = 1,

[0038] Preferably, step 5 is specifically as follows: calculating the adjusted dimensional weight vector W according to the obtained weight adjustment vector new , the calculation formula is W new =W*y1*y2*y3*y4.

[0039] Preferably, step 6 specifically includes: performing normalization calculation according to the adjusted weights of each dimension so that the sum of the weights of each dimension is 1, and the calculation formula is:

[0040]

[0041] Where Wi Represents the adjusted indicator of the i-th dimension.

[0042] Preferably, step 7 specifically includes: processing the port group into a matrix, and initializing the evaluation matrix as:

[0043]

[0044] Where m is the number of ports and n is the number of third-level indicators.

[0045] Preferably, step 8 specifically includes: collecting platform data of the port to be evaluated, scoring various indicators according to the UIPDS evaluation index system, and the platform data includes data released by authoritative institutions, public platform data, user questionnaire data and relevant mainstream media report data.

[0046] Preferably, step 9 specifically includes: performing dimensionless processing on the m samples to be evaluated and the n evaluation indicators in each cluster so as to meet the evaluation calculation requirements and obtain a standard evaluation matrix, wherein the cost-type indicator processing formula is:

[0047]

[0048] The processing formula of benefit-based indicators is:

[0049]

[0050] The standard data matrix is ​​recorded as:

[0051]

[0052] Preferably, step 10 is specifically: multiplying the standard data matrix by the weight matrix to calculate the evaluation score Z of each category, and the formula is:

[0053] Z=(R x′ *W)

[0054] Where W = (W1, ..., W n ) represents the weight vector, the data in Z represents the indicator scores of the evaluated individuals, and the sum is the total evaluation score. The evaluation score of each category is the final evaluation result.

[0055] The present invention provides an evaluation index system and model for smart port construction based on UIPDS, which has the following beneficial effects:

[0056] 1. Based on the construction characteristics of smart ports, the present invention focuses on whether it promotes the digital transformation and upgrading of ports, as well as the level of digitization, intelligence, and convenience in facilities and equipment, port supervision, operation management, comprehensive services, regional cooperation, etc., so that the evaluation index system of the present invention is more suitable for the actual needs of smart port construction.

[0057] 2. In the setting of evaluation indicators, the present invention increases the proportion of objective indicators, reduces the number of subjective indicators, and realizes the organic combination of qualitative and quantitative indicators. By constructing an objective and quantitative evaluation indicator system, the defect of over-reliance on subjective judgment in the traditional system is overcome, the objectivity of the evaluation process is improved, and a more scientific evaluation basis is provided for the construction of smart ports.

[0058] 3. The present invention introduces a method of quantitative features, comprehensively considers multiple factors such as the geographical characteristics of the port and the business type, and proposes a weight adaptive calculation criterion, so that the evaluation model can adaptively reflect the evaluation needs of different ports, thereby realizing the adaptation of the evaluation model to different types of ports, and further enhancing the effectiveness and applicability of the present invention in practical applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is the flow chart of the evaluation model algorithm of the present invention;

[0060] Figure 2 It is a schematic diagram of the port characteristics quantification of the present invention;

[0061] Figure 3 Schematic diagram of the adaptive weight adjustment criterion of the present invention. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0063] Example:

[0064] like Figure 1-3 As shown, the embodiment of the present invention provides an evaluation index system and model for smart port construction based on UIPDS, the evaluation index system and model include the calculation of the evaluation matrix and the calculation of the weight vector, specifically including the following steps:

[0065] Step 1: Select several smart port objects to be evaluated and record the number;

[0066] Step 2: Initialize the dimension weight vector;

[0067] Step 3: Quantify the characteristics of port area and business level;

[0068] Step 4: According to the quantized value and the weight adjustment rule, a weight adjustment vector is obtained;

[0069] Step 5: Adaptively calculate the evaluation dimension weights based on the weight vector;

[0070] Step 6: Perform weight normalization calculation based on the weight result of adaptive calculation;

[0071] Step 7: Initialize the smart port evaluation matrix;

[0072] Step 8: Collect the platform data of the port to be evaluated, score each indicator according to the UIPDS evaluation index system, and obtain the original evaluation matrix;

[0073] Step 9: Perform dimensionless processing on the indicator scoring data to make it meet the evaluation calculation requirements and obtain the standard evaluation matrix;

[0074] Step 10: Calculate the smart port construction evaluation score based on the standard evaluation matrix and adaptive weight vector.

[0075] Step 2 is as follows:

[0076] The dimension weights include comprehensive service dimension, facility and equipment dimension, port supervision dimension, operation management dimension, and regional cooperation dimension. The dimension weight vector is W = [W1, W2, W3W4, W5], where W1, W2, W3, W4, and W5 are the dimension weights of comprehensive service dimension, facility and equipment dimension, port supervision dimension, operation management dimension, and regional cooperation dimension, respectively. The initial values ​​are set to W1 = 0.4, W2 = 0.2, W3 = 0.15, W4 = 0.15, and W5 = 0.15.

[0077] Step 3 includes:

[0078] 1) Quantification of Regional Comprehensive Development Index (D)

[0079] The calculation formula of regional comprehensive development index is: D = K1 × regional economic development level + k2 × regional trade activity + k3 × regional policy support strength;

[0080] Among them, k1, k2, k3 are weight coefficients, and k1+k2+k3=1. In this calculation, k1=0.4, k2=0.4, k3=0.2;

[0081] The calculation formula of regional economic development level is: L = (G / G max ) a ×(Pi / Pi max ) b , and then through L / L max Mapped to the interval (0,1], where G is the regional per capita GDP, Pi is the proportion of high-end industries in the industrial structure, and G max is the largest per capita GDP value among the preset cities in the country, Pimax The largest proportion of high-end industries in the preset cities across the country;

[0082] The calculation formula of regional trade activity value is: A=(S / S max ) c ×(Np / Np max ) d , through the function A / A max Mapped to the interval (0,1], where S is the total import and export volume of the region, Np is the number of trading partners, and S max The maximum total import and export volume of goods among the preset national ports, NP max The maximum number of trading partners among the ports in the region;

[0083] The formula for calculating the regional policy support strength is: E = F / F max , mapped to the interval (0,1], where F is the government's investment in port construction, F max The largest capital investment among the cities in the region;

[0084] 2) Quantification of port type (T)

[0085] Port types are divided into three discrete types: land ports (T = 0), water ports (T = 0.5), and air ports (T = 1);

[0086] 3) Quantification of port cargo throughput (C)

[0087] Assume that the cargo throughput of the port is Qt, and compare it with the largest cargo throughput Qt in the country. max By comparison, the freight throughput value C = Qt / Qt max , C is in the interval (0,1];

[0088] 4) Quantification of port passenger throughput (P)

[0089] Assume that the passenger throughput of the port is Pt, and compare it with the largest passenger throughput of the national ports Pt max By comparison, the passenger throughput value P = Pt / Pt max , P is in the interval (0,1];

[0090] 5) Quantification of regional development factor (B)

[0091] Assume that the number of ports in the coverage area of ​​the port is Na, and compare it with the maximum number of ports in the coverage area of ​​all ports in the country, Na max By comparison, we can get the regional development factor B = Na / Na max ,B is in the interval (0,1].

[0092] Step 4 is as follows:

[0093] Step 4-1, determine the value range of the quantified regional comprehensive development index D and freight throughput C, and calculate the weight adjustment vector y1; if the regional comprehensive development index D≤0.4, the freight throughput C≤0.4, then y1=[1-D*P*C, 1-D*C, 1, 1, 1]; if the regional comprehensive development index D>0.7, the freight throughput C>0.6, then y1=[1+D*P*C, 1+D*C, 1, 1, 1]; otherwise, y1=[1, 1, 1, 1, 1];

[0094] Step 4-2, determine the value range of the quantized passenger throughput P, ​​and calculate the weight adjustment vector y2; if the passenger throughput P≤0.3, y2=[1-P, 1+D*P, 1-P, 1+D*P, 1-B*P]; if the passenger throughput P>0.6, y2=[1+P, 1-D*P, 1+P, 1-D*P, 1+B*P]; otherwise, y2=[1,1,1,1,1];

[0095] Step 4-3, determine the value range of the quantitative regional economic development balance index B, and calculate the weight adjustment vector y3; if the regional economic development balance index B>0.5, then If the regional economic development balance index B≤0.5, then

[0096] Step 4-4, determine the value of the port type T and calculate the weight adjustment vector y4; if it is a land port, T = 0, If it is a water transport port, T = 0.5, If it is an air port, T = 1,

[0097] Step 5 is as follows: Calculate the adjusted dimension weight vector W according to the obtained weight adjustment vector new , the calculation formula is W new =W*y1*y2*y3*y4.

[0098] Step 6 is as follows: according to the adjusted weights of each dimension, normalization calculation is performed so that the sum of the weights of each dimension is 1. The calculation formula is:

[0099]

[0100] Where W i Represents the adjusted indicator of the i-th dimension.

[0101] Step 7 is as follows: Matrix the port group and initialize the evaluation matrix as follows:

[0102]

[0103] Where m is the number of ports and n is the number of third-level indicators.

[0104] Step 8 is as follows: collect platform data of the ports to be evaluated, and score each indicator according to the UIPDS evaluation index system. The platform data includes data released by authoritative institutions, public platform data, user questionnaire data, and relevant mainstream media report data.

[0105] (I) Quantification of comprehensive service ubiquitous (U) series indicators

[0106] 1. Service transparency indicators:

[0107] The calculation of port government information disclosure is strictly defined as: score = number of port management-related departments that publish port policy information in a timely manner / total number of port management-related departments × 100. Here, the value range of the number of port management-related departments that publish port policy information in a timely manner is clearly limited to non-negative integers, and this value is strictly less than or equal to the total number of port management-related departments, while the value range of the total number of port management-related departments is a positive integer. This definition ensures the accuracy and rigor of the calculation.

[0108] The calculation method for the disclosure of port business information is: score = timely release of business information coverage score + business information access convenience score. Among them, the timely release of business information coverage score = the number of port-related departments and institutions that timely release business information / the number of all departments and institutions involved in the port × 50. The value range of the number of port-related departments and institutions that timely release business information is precisely limited to non-negative integers and is strictly less than or equal to the number of all departments and institutions involved in the port. The value range of all departments and institutions involved in the port is a positive integer to ensure the scientificity and rigor of the calculation.

[0109] The calculation method for the disclosure of port fee information is: score = number of timely updated import and export service enterprises / total number of port import and export service enterprises × 100. The value range of the timely updated number of import and export service enterprises is clearly non-negative integers and strictly less than or equal to the total number of port import and export service enterprises. The value range of the total number of port import and export service enterprises is a positive integer, which ensures the rigor of the calculation.

[0110] 2. Cargo customs clearance time and cost indicators:

[0111] The calculation method of the overall import customs clearance time is strictly defined as: Among them, T Min The minimum time obtained in this evaluation is strictly limited to non-negative real numbers; T Max is the maximum time obtained in this evaluation, and its value range is a non-negative real number and is strictly greater than T Min; T is the overall customs clearance time of the port obtained in this evaluation, and its value range is a non-negative real number and strictly satisfies T Min ≤T≤T Max If the data is insufficient, the minimum value is taken as the average of the smallest 3 values, and the maximum value is taken as the average of the largest 3 values ​​in strict accordance with the regulations to ensure the standardization and rigor of the calculation.

[0112] The calculation method of the overall export customs clearance time is consistent with that of the overall import customs clearance time to ensure the consistency and rigor of the evaluation system.

[0113] The import compliance cost is calculated strictly according to the World Bank's EBS import compliance cost indicator to obtain scores, ensuring the authority and accuracy of the data source.

[0114] 3. Paperless degree of cross-border trade: score = (1-number of paper documents / total number of documents involved in the customs clearance process) × 100. The value range of the number of paper documents is precisely limited to non-negative integers and is strictly less than or equal to the total number of documents involved in the customs clearance process. The value range of the total number of documents involved in the customs clearance process is a positive integer to ensure the rigor of the calculation.

[0115] 4. Indicators for serving local economic development:

[0116] The calculation method of the economic proportion of the port economic zone is: Among them, S Min is the minimum specific gravity value in this evaluation, and its value range is strictly limited to non-negative real numbers; S Max is the maximum weight of this evaluation, and its value range is a non-negative real number and is strictly greater than S Min ; S is the proportion of the total economic volume of the port economic zone to the total local economic volume, and its value range is a non-negative real number and strictly satisfies S Min ≤S≤S Max , ensuring the accuracy and rigor of the calculations.

[0117] The calculation method for the employment capacity provided by the port economic zone is: Among them, S Min is the minimum proportion value in this evaluation, and its value range is a non-negative real number; S Max The maximum proportion value of this evaluation, the value range is non-negative real number and strictly greater than S Min ; S is the ratio of the number of jobs provided by the port economic zone to the total number of jobs in the city where the port is located. The value range is a non-negative real number and strictly satisfies S Min ≤S≤S Max , ensuring the scientificity and rigor of the calculation.

[0118] 5. Enterprise satisfaction series indicators:

[0119] The service experience satisfaction is strictly calculated by expert scoring. There are 5 options for scoring items, and the score = the sum of all scores / the sum of all full scores × 100. The value range of the sum of all scores is strictly limited to [0, the sum of all full scores × 5], and the score range is [0, 100] to ensure the standardization and rigor of the scoring.

[0120] The calculation method of government information disclosure satisfaction is consistent with service experience satisfaction to ensure the consistency and rigor of the evaluation system.

[0121] The comprehensive satisfaction of port cost reduction and efficiency improvement is also calculated by expert scoring. Each scoring item can have 5 options, and the score = the sum of all scores / the sum of all full scores × 100. The sum of all scores ranges from [0, the sum of all full scores × 5], and the score ranges from [0, 100] to ensure the accuracy and rigor of the scoring.

[0122] (II) Quantification of a series of indicators for intelligent facilities and equipment (I)

[0123] 1. Intelligent indicators of port supervision facilities and equipment:

[0124] The calculation method for the coverage of port supervision intelligent facilities and equipment is: score = number of port supervision links that actually use general intelligent facilities and equipment / total number of port supervision links given in the list × 100. The value range of the number of port supervision links that actually use general intelligent facilities and equipment is clearly limited to non-negative integers and is strictly less than or equal to the total number of port supervision links given in the list. The value range of the total number of port supervision links given in the list is a positive integer to ensure the accuracy and rigor of the calculation.

[0125] The calculation method for the application time of intelligent facilities and equipment for port supervision is as follows: Among them, T I is the usage time of a device (hours), and the value range is a non-negative real number; n is the total number of devices in the list range, and the value range is a positive integer. Score = usage rate × 100, and the score range is [0,100] to ensure the scientificity and rigor of the calculation.

[0126] The degree of sharing of intelligent facilities and equipment for port supervision is scored through cases of intensive sharing of technical intelligent facilities and equipment. Each case is scored 20 points, with a full score of 100, to ensure the standardization and rigor of the scoring.

[0127] The method for determining the advanced level of intelligent facilities and equipment for port supervision is as follows: select the required general intelligent facilities and equipment categories to design a percentage scoring table, and the advanced level of each type of facilities and equipment is divided into 5 levels, ABCDE, for each capability (e.g., A: 100 points; B: 80 points; C: 60 points; D: 40 points; E: 20 points). In the scoring table, each type of facility and equipment is scored according to the key performance indicators, and the overall advanced level of the intelligent facilities and equipment for port supervision is calculated by averaging. The score range is [20,100] to ensure the accuracy and rigor of the scoring.

[0128] 2. A series of indicators for the intelligent operation of production workplace facilities and equipment:

[0129] The calculation method for the coverage of intelligent facilities and equipment for port operations is: score = number of types of general intelligent facilities and equipment actually used / total number of types of general intelligent facilities and equipment given in the list × 100. The value range of the number of types of general intelligent facilities and equipment actually used is clearly limited to non-negative integers and is strictly less than or equal to the total number of types of general intelligent facilities and equipment given in the list. The value range of the total number of types of general intelligent facilities and equipment given in the list is a positive integer to ensure the accuracy and rigor of the calculation.

[0130] The method for determining the degree of advancement of intelligent facilities and equipment for port operations is as follows: select the required facility and equipment categories from the list of general intelligent facilities and equipment and design a percentage-based scoring table. The degree of advancement of each type of facility and equipment is divided into 5 levels, ABCDE, for each capability (e.g., A: 100 points; B: 80 points; C: 60 points; D: 40 points; E: 20 points). In the scoring table, each type of facility and equipment is scored according to its key performance level, and the overall degree of advancement of the intelligent facilities and equipment for port operations is calculated by averaging. The score range is [20,100] to ensure the accuracy and rigor of the scoring.

[0131] (III) Quantification of the series of indicators for precision port supervision (P)

[0132] 1. A series of indicators on the degree of coordination of port supervision:

[0133] The calculation method of the degree of automation of customs clearance at ports is strictly defined as: Automation processing rate = (number of customs clearance orders automatically processed / total number of customs clearance orders) × 100. The value range of the number of customs clearance orders automatically processed is clearly limited to non-negative integers and is strictly less than or equal to the total number of customs clearance orders, and the value range of the total number of customs clearance orders is a positive integer. Score = Automation processing rate × 100, and the score range is [0,100] to ensure the accuracy and rigor of the calculation.

[0134] The calculation method of information sharing degree between port regulatory departments is: information sharing degree = (actual amount of information shared / total amount of information that should be shared) × 100. "Actual amount of information shared" refers to the number or number of times of information actually shared and exchanged between different departments or systems in a certain period of time, and the value range is non-negative integers; "total amount of information that should be shared" refers to the total amount of information that each department or system theoretically needs to share, and the value range is non-negative integers and should be strictly greater than or equal to the actual amount of information shared. Score = information sharing degree × 100, the score range is [0,100], to ensure the scientificity and rigor of the calculation.

[0135] The coordination degree between port supervision and logistics operations is strictly calculated by expert scoring. There are 5 options for scoring items, and the score = the sum of all scores / the sum of all full scores × 100. The sum of all scores ranges from [0, the sum of all full scores × 5], and the score ranges from [0, 100] to ensure the standardization and rigor of the scoring.

[0136] 2. Single Window Construction Level Indicators:

[0137] Technological innovation and application can be strictly evaluated by experts in terms of technology application breadth, innovation depth, efficiency effect, experience improvement, data security, cost-benefit analysis, etc. The expert scoring range is [20,100], and specific scores can be determined according to different evaluation levels to ensure the accuracy and rigor of the scoring.

[0138] The calculation method for the coverage of the entire cross-border trade chain service of the single window is: score = number of covered links / total number of cross-border trade chains × 100. The value range of the number of covered links is clearly limited to non-negative integers and is strictly less than or equal to the total number of cross-border trade chains. The value range of the total number of cross-border trade chains is a positive integer. The score range is [0,100]. Before each evaluation work is implemented, the scope of the entire chain is clarified, and data is obtained through the "single window" to ensure the accuracy and reliability of the data.

[0139] (IV) Quantification of digital operation management (D) series of indicators

[0140] 1. Visualization level indicators of port operation management:

[0141] The calculation method of the completeness score is: Completeness score = number of displayed information items / number of information items that should be displayed × 100. The value range of the number of displayed information items is clearly limited to non-negative integers and is strictly less than or equal to the number of information items that should be displayed. The value range of the number of information items that should be displayed is a positive integer. The score range is [0,100] to ensure the accuracy and rigor of the calculation.

[0142] The real-time score is calculated as follows: Among them, S Minis the minimum value of all ports in this evaluation, and its value range is strictly limited to non-negative real numbers; S Max is the maximum value of the national ports in this evaluation, and its value range is non-negative real number and strictly greater than S Min ; S is the update time period of the visual display of the port (the weighted average of the real-time evaluation scores of all information items). The score range is [0,100]. The score is equal to the integrity score + the real-time score, and the value range is [0,200] to ensure the scientificity and rigor of the calculation.

[0143] 2. Port comprehensive performance evaluation and results application ability indicators:

[0144] A 100-point scoring table is strictly designed for the comprehensive performance evaluation of ports and the required capabilities for the application of results. Each capability is divided into 5 levels: A, B, C, and D (e.g., A: 100 points; B: 80 points; C: 60 points; D: 40 points; E: 20 points). After ticking and scoring each capability in the scoring table, the comprehensive score of the indicator is calculated by averaging or weighted average. The score range is [20, 100] to ensure the accuracy and rigor of the scoring.

[0145] 3. Joint prevention and control capabilities of ports:

[0146] A 100-point scoring table is strictly designed for the capabilities required for joint prevention and control work at ports. Each capability is divided into 5 levels: A, B, C, and D (e.g., A: 100 points; B: 80 points; C: 60 points; D: 40 points; E: 20 points). After ticking and scoring each capability in the scoring table, the comprehensive score of the indicator is calculated by averaging or weighted average. The score range is [20, 100] to ensure the accuracy and rigor of the scoring.

[0147] (V) Quantification of the series of indicators on regional cooperation mechanism (S)

[0148] 1. Indicator level of cross-regional cooperation mechanism:

[0149] A 100-point scoring table is strictly designed for the construction of cooperation mechanisms and cooperation projects. Each item is divided into 5 levels: AB, CD, and E (e.g., for the construction of cooperation mechanisms, A: 100 points; B: 80 points; C: 60 points; D: 40 points; E: 20 points. For the construction of cooperation projects, A: 100 points; B: 80 points; C: 60 points; D: 40 points; E: 20 points). The comprehensive score of the indicator is calculated by averaging or weighted averaging the above two scores. The score range is [20,100] to ensure the accuracy and rigor of the scoring.

[0150] 2. Institutionalization of cross-border cooperation:

[0151] Strict scoring is performed for the construction of cross-border cooperation mechanisms and cross-border cooperation projects. A 100-point scoring table is strictly designed for the construction of cross-border cooperation mechanisms and cross-border cooperation projects. Each item is divided into 5 levels: ABCDE (e.g., for the construction of cooperation mechanisms, A: 100 points; B: 80 points; C: 60 points; D: 40 points; E: 20 points. For the construction of cooperation projects, A: 100 points; B: 80 points; C: 60 points; D: 40 points; E: 20 points). The comprehensive score of the indicator is calculated by averaging or weighted averaging the above two scores. The score range is [20,100] to ensure the accuracy and rigor of the scoring.

[0152] The automatic quantitative indicator data is used to assign scores to the indicators, and the results in Table 1 are obtained.

[0153] Step 9 is as follows: for each cluster of m samples to be evaluated, n evaluation indicators are dimensionlessly processed to meet the evaluation calculation requirements and obtain a standard evaluation matrix. The purpose of this step is to organize the scattered scoring data into a structured original data matrix, so as to collect the scoring data of each evaluation indicator corresponding to each port to be evaluated for subsequent analysis and processing. These scoring data are arranged according to ports and indicators to construct an original data matrix, in which each row represents a port and each column represents an evaluation indicator. Distinguishing between cost-based indicators and benefit-based indicators is to observe whether the content reflected by the indicator is a positive result or cost consumption. If the indicator reflects positive aspects such as output, effect, satisfaction, etc., it is generally a benefit-based indicator; if the indicator reflects input, expenditure, consumption, etc., it is usually a cost-based indicator.

[0154] For example, "investment in intelligent port equipment" is obviously an indicator of cost, which belongs to the cost type; while "percentage of improvement in port clearance efficiency" is an indicator of benefit, which belongs to the benefit type. The formula for processing cost-type indicators is:

[0155]

[0156] The processing formula of benefit-based indicators is:

[0157]

[0158] The standard data matrix is ​​recorded as:

[0159]

[0160] Step 10 is as follows: multiply the standard data matrix by the weight matrix to calculate the evaluation score Z for each category. The formula is:

[0161] Z=(R x′ *W)

[0162] Where W = (W1, ..., Wn ) represents the weight vector, the data in Z represents the indicator scores of the evaluated individuals, and the sum is the total evaluation score. The evaluation score of each category is the final evaluation result. Some evaluation results are shown in Table 2.

[0163] Table 1 Port quantification results

[0164]

[0165]

[0166] Table 2 Weights and scores of secondary indicators for port evaluation

[0167]

[0168]

[0169] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An evaluation index system and model for smart port construction based on UIPDS, characterized by: The evaluation index system and model include the calculation of the evaluation matrix and the calculation of the weight vector, which specifically include the following steps: Step 1: Select several smart port objects to be evaluated and record the number; Step 2: Dimension weight vector initialization; Step 3: Quantify the characteristics of port area and business level; Step 4: According to the quantized value and the weight adjustment rule, a weight adjustment vector is obtained; Step 5: Adaptively calculate the evaluation dimension weights based on the weight vector; Step 6: Perform weight normalization calculation based on the weight result of the adaptive calculation; Step 7: Initialize the smart port evaluation matrix; Step 8: Collect the platform data of the port to be evaluated, score each indicator according to the UIPDS evaluation index system, and obtain the original evaluation matrix; Step 9: Perform dimensionless processing on the indicator scoring data to make it meet the evaluation calculation requirements and obtain the standard evaluation matrix; Step 10: Calculate the smart port construction evaluation score based on the standard evaluation matrix and adaptive weight vector.

2. According to claim 1, a UIPDS-based smart port construction evaluation index system and model, characterized in that: Step 2 is as follows: The dimension weights include comprehensive service dimension, facility and equipment dimension, port supervision dimension, operation management dimension, and regional cooperation dimension. The dimension weight vector is W = [W1, W2, W3W4, W5], where W1, W2, W3, W4, and W5 are the dimension weights of comprehensive service dimension, facility and equipment dimension, port supervision dimension, operation management dimension, and regional cooperation dimension, respectively. The initial values ​​are set to W1 = 0.4, W2 = 0.2, W3 = 0.15, W4 = 0.15, and W5 = 0.

15.

3. According to the UIPDS-based smart port construction evaluation index system and model of claim 1, it is characterized by: Step 3 includes: 1) Quantification of Regional Comprehensive Development Index (D) The calculation formula of regional comprehensive development index is: D = k1 × regional economic development level + k2 × regional trade activity + k3 × regional policy support strength; Among them, k1, k2, k3 are weight coefficients, and k1+k2+k3=1; The calculation formula of regional economic development level is: L = (G / G max ) a ×(Pi / Pi max ) b , and then through L / L max Mapped to the interval (0,1], where G is the regional per capita GDP, Pi is the proportion of high-end industries in the industrial structure, and G max is the largest per capita GDP value among the preset cities in the country, Pi max The largest proportion of high-end industries in the preset cities across the country; The calculation formula of regional trade activity value is: A=(S / S max ) c ×(Np / Np max ) d , through the function A / A max Mapped to the interval (0, 1], where S is the total import and export volume of the region, Np is the number of trading partners, and S max is the maximum total import and export volume of goods in the preset national ports, Np max The maximum number of trading partners among the ports in the region; The formula for calculating the regional policy support strength is: E = F / F max , mapped to the interval (0,1], where F is the government's investment in port construction, F max The largest capital investment among the cities in the region; 2) Quantification of port type (T) Port types are divided into three discrete types: land ports (T = 0), water ports (T = 0.5), and air ports (T = 1); 3) Quantification of port cargo throughput (C) Assume that the cargo throughput of the port is Qt, and compare it with the largest cargo throughput Qt in the country. max By comparison, the freight throughput value C = Qt / Qt max , C is in the interval (0, 1]; 4) Quantification of port passenger throughput (P) Assume that the passenger throughput of the port is Pt, and compare it with the largest passenger throughput Pt among all ports in the country. max By comparison, the passenger throughput value P = Pt / Pt max , P is in the interval (0, 1]; 5) Quantification of regional development factor (B) Assume that the number of ports in the coverage area of ​​the port is Na, and compare it with the maximum number of ports in the coverage area of ​​all ports in the country, Na max By comparison, we can get the regional development factor B = Na / Na max , B is in the interval (0, 1].

4. According to claim 1, a UIPDS-based smart port construction evaluation index system and model, characterized in that: Step 4 is as follows: Step 4-1, determine the value range of the quantified regional comprehensive development index D and the freight throughput C, and calculate the weight adjustment vector y1; If the regional comprehensive development index D≤0.4, and the freight throughput C≤0.4, then y1=[1-D*P*C, 1-D*C, 1, 1, 1]; If the regional comprehensive development index D>0.7, and the freight throughput C>0.6, then y1=[1+D*P*C, 1+D*C, 1, 1, 1]; otherwise, y1=[1, 1, 1, 1, 1]; Step 4-2, determine the value range of the quantized passenger throughput P, ​​and calculate the weight adjustment vector y2; if the passenger throughput P≤0.3, y2=[1-P, 1+D*P, 1-P, 1+D*P, 1-B*P]; If the passenger throughput P>0.6, y2=[1+P, 1-D*P, 1+P, 1-D*P, 1+B*P]; otherwise, y2=[1, 1, 1, 1, 1]; Step 4-3, determine the value range of the quantitative regional economic development balance index B, and calculate the weight adjustment vector y3; if the regional economic development balance index B>0.5, then If the regional economic development balance index B≤0.5, then Step 4-4, determine the value of the port type T and calculate the weight adjustment vector y4; if it is a land port, T = 0, If it is a water transport port, T = 0.5, If it is an air port, T = 1, 5. According to claim 1, a UIPDS-based smart port construction evaluation index system and model, characterized in that: Step 5 is as follows: Calculate the adjusted dimension weight vector W according to the obtained weight adjustment vector new , the calculation formula is W new =W*y1*y2*y3*y4.

6. According to claim 1, a UIPDS-based smart port construction evaluation index system and model, characterized in that: Step 6 is as follows: according to the adjusted weights of each dimension, normalization calculation is performed so that the sum of the weights of each dimension is 1. The calculation formula is: Where W i Represents the adjusted indicator of the i-th dimension.

7. According to claim 1, a UIPDS-based smart port construction evaluation index system and model, characterized in that: Step 7 is as follows: Matrix the port group and initialize the evaluation matrix as follows: Where m is the number of ports and n is the number of third-level indicators.

8. According to claim 1, a UIPDS-based smart port construction evaluation index system and model, characterized in that: Step 8 is specifically as follows: collecting platform data of the port to be evaluated, and scoring each indicator according to the UIPDS evaluation index system. The platform data includes data released by authoritative institutions, public platform data, user questionnaire data, and relevant mainstream media report data.

9. According to claim 1, a UIPDS-based smart port construction evaluation index system and model, characterized in that: Step 9 is as follows: for each cluster, the m samples to be evaluated and the n evaluation indicators are dimensionless processed to meet the evaluation calculation requirements and obtain the standard evaluation matrix, where the cost indicator processing formula is: The formula for processing benefit indicators is: The standard data matrix is ​​recorded as:

10. According to claim 1, a UIPDS-based smart port construction evaluation index system and model, characterized in that: Step 10 is as follows: multiply the standard data matrix by the weight matrix to calculate the evaluation score Z for each category. The formula is: Z=(R x ′*W) Where W=(W1,…,W n ) represents the weight vector, the data in Z represents the indicator scores of the evaluated individuals, and the sum is the total evaluation score. The evaluation score of each category is the final evaluation result.

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