Urban vital signs monitoring multidimensional data processing method, device, equipment and storage medium

Abstract

The present invention discloses a method, device, equipment and storage medium for processing multidimensional data of urban vital signs monitoring. The method collects urban vital signs data of different dimensions of the current city to construct a preset weight matrix; performs hierarchical calculation on the urban vital signs data according to the preset weight matrix to obtain hierarchical calculation results; analyzes the hierarchical calculation results to obtain a comprehensive score of urban vital signs monitoring of the current city. The method can meet the data processing requirements of a complex urban vital signs monitoring system, improve the accuracy of evaluating the impact of indicators at each level on the overall urban vital signs, comprehensively consider the multi-dimensional perspectives of the overall urban vital signs, comprehensively reflect the overall state of urban operation, effectively process complex, multi-level and multi-field urban vital signs data, provide strong support for urban management decision-making, and improve the speed and efficiency of multi-dimensional data processing of urban vital signs monitoring.

Description

Technical Field

[0001] The present invention relates to the field of smart city management technology, and in particular to a method, device, equipment and storage medium for multi-dimensional data processing of urban vital signs monitoring. Background Art

[0002] When processing urban vital signs data, it is generally possible to assign simple fixed weights to indicator data of different dimensions, and then sum and average them to obtain a comprehensive evaluation value; for example, for a small number of key indicators such as urban traffic and environment (such as traffic congestion index, air quality index, etc., which may only have a few to a dozen indicators), directly set their respective weights, such as the traffic congestion index weight is 0.6, the air quality index weight is 0.4, etc., and then multiply these indicator values ​​by the corresponding weights and add them up to obtain a comprehensive score.

[0003] However, this method does not take into account the complex classification hierarchy and cannot meet the data processing requirements of complex urban vital signs monitoring systems. When faced with large-scale, multi-level data, it is unable to finely evaluate the impact of indicators at each level on the overall urban vital signs.

[0004] There is also a method based on single-field data analysis. For example, in the field of energy, urban energy consumption monitoring only analyzes limited indicators related to energy consumption (such as a small number of indicators related to electricity consumption, gas consumption, etc.).

[0005] After collecting these energy-related data, basic statistical analysis methods are used, such as calculating the mean and variance, to evaluate the trend and stability of energy consumption. However, this method lacks the ability to integrate data from multiple fields (such as transportation, environment, people's livelihood, economy, infrastructure, etc.), and cannot comprehensively consider the multi-dimensional perspective of the overall urban signs, and cannot fully reflect the overall status of urban operations. Summary of the invention

[0006] The main purpose of the present invention is to provide a method, device, equipment and storage medium for multi-dimensional data processing of urban vital signs monitoring, aiming to solve the technical problems in the prior art that it cannot meet the data processing requirements of complex urban vital signs monitoring systems, cannot finely evaluate the impact of indicators at each level on the overall urban vital signs, cannot comprehensively consider the multi-dimensional perspective of the overall urban vital signs, and cannot fully reflect the overall status of urban operation.

[0007] In a first aspect, the present invention provides a method for processing multidimensional data of urban vital signs monitoring, the method comprising the following steps:

[0008] Collect urban vital signs data of different dimensions of the current city and construct a preset weight matrix;

[0009] Performing hierarchical calculation on the city vital sign data according to the preset weight matrix to obtain hierarchical calculation results;

[0010] The hierarchical calculation results are analyzed to obtain a comprehensive score of the urban vital signs monitoring of the current city.

[0011] Optionally, the collecting of city vital sign data of different dimensions of the current city and constructing a preset weight matrix includes:

[0012] Collect urban vital signs data of different dimensions in the current city;

[0013] A preset weight matrix is ​​constructed for the city vital signs data according to domains, secondary classifications, tertiary classifications, specific indicators and elements.

[0014] Optionally, constructing a preset weight matrix for the city vital signs data according to the domain, secondary classification, tertiary classification, specific indicators and elements includes:

[0015] Obtain the corresponding number of domains, secondary classifications, tertiary classifications, specific indicators and elements for each indicator of urban vital signs data;

[0016] Dynamically adjust weights based on the current city's characteristics, development priorities and data dynamics;

[0017] A five-dimensional preset weight matrix is ​​constructed according to the domain, the secondary classification, the tertiary classification, the specific indicators, the elements and the weights, wherein the elements have two elements, including the weight of each indicator in the corresponding three-level classification and the full score corresponding to each indicator.

[0018] Optionally, performing hierarchical calculation on the city vital sign data according to the preset weight matrix to obtain hierarchical calculation results includes:

[0019] Calculate a single indicator score of the city vital sign data according to the preset weight matrix;

[0020] Calculate the third-level classification score, the second-level classification score and the domain score of the city's physical sign data according to the single indicator score;

[0021] The single indicator score, the three-level classification score and the domain score are used as hierarchical calculation results.

[0022] Optionally, calculating a single indicator score of the city vital sign data according to the preset weight matrix includes:

[0023] The single indicator score of the city vital sign data is calculated according to the preset weight matrix by the following formula:

[0024]

[0025] in, To score a single indicator, is the specific indicator value corresponding to the city's vital signs data, is the indicator weight of each indicator, is the full score of each indicator, d is the domain, c2 is the second-level classification, c3 is the third-level classification, and i is the specific indicator.

[0026] Optionally, the calculating of the third-level classification score, the second-level classification score and the domain score of the city vital sign data according to the single indicator score includes:

[0027] The three-level classification score of the city's physical sign data is calculated according to the single indicator score by the following formula:

[0028]

[0029] The secondary classification score of the city vital sign data is calculated according to the third-level classification score by the following formula:

[0030]

[0031] The domain score of the city vital signs data is calculated according to the secondary classification score by the following formula:

[0032]

[0033] in, is the three-level classification score, is the number of indicators under the three-level classification,

[0034] To score a single indicator, is the secondary classification score, is the number of third-level categories under the second-level classification, S d is the domain score, p d The number of secondary categories under the current domain.

[0035] Optionally, analyzing the hierarchical calculation results to obtain a comprehensive score of the city vital signs monitoring of the current city includes:

[0036] The hierarchical calculation results are analyzed to obtain the comprehensive score of the city vital signs monitoring of the current city through the following formula:

[0037]

[0038] Among them, totalScore is the comprehensive score, S d Score the domain.

[0039] In a second aspect, in order to achieve the above-mentioned purpose, the present invention further proposes a multi-dimensional data processing device for urban vital signs monitoring, the multi-dimensional data processing device for urban vital signs monitoring comprising:

[0040] The matrix construction module is used to collect the city vital signs data of different dimensions of the current city and construct a preset weight matrix;

[0041] A hierarchical calculation module, used to perform hierarchical calculation on the city vital sign data according to the preset weight matrix to obtain hierarchical calculation results;

[0042] The analysis and scoring module is used to analyze the hierarchical calculation results to obtain a comprehensive score of the urban vital signs monitoring of the current city.

[0043] In the third aspect, in order to achieve the above-mentioned purpose, the present invention also proposes a multi-dimensional data processing device for urban vital signs monitoring, which includes: a memory, a processor, and a multi-dimensional data processing program for urban vital signs monitoring stored in the memory and executable on the processor, and the multi-dimensional data processing program for urban vital signs monitoring is configured to implement the steps of the multi-dimensional data processing method for urban vital signs monitoring as described above.

[0044] In a fourth aspect, in order to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a multi-dimensional data processing program for urban vital signs monitoring is stored, and when the multi-dimensional data processing program for urban vital signs monitoring is executed by a processor, the steps of the multi-dimensional data processing method for urban vital signs monitoring as described above are implemented.

[0045] The method for processing multidimensional data of urban vital signs monitoring proposed in the present invention collects urban vital signs data of different dimensions of the current city to construct a preset weight matrix; performs hierarchical calculation on the urban vital signs data according to the preset weight matrix to obtain hierarchical calculation results; analyzes the hierarchical calculation results to obtain a comprehensive score of urban vital signs monitoring of the current city. The method can meet the data processing requirements of a complex urban vital signs monitoring system, improve the accuracy of evaluating the impact of indicators at each level on the overall urban vital signs, comprehensively consider the multi-dimensional perspectives of the overall urban vital signs, comprehensively reflect the overall state of urban operation, effectively process complex, multi-level and multi-field urban vital signs data, provide strong support for urban management decision-making, and improve the speed and efficiency of multidimensional data processing of urban vital signs monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention;

[0047] Figure 2 It is a flow chart of the first embodiment of the method for processing multi-dimensional data of urban vital signs monitoring according to the present invention;

[0048] Figure 3 It is a flow chart of the second embodiment of the method for processing multi-dimensional data of urban vital signs monitoring according to the present invention;

[0049] Figure 4 It is a flow chart of a third embodiment of the method for processing multi-dimensional data for urban vital signs monitoring according to the present invention;

[0050] Figure 5 This is a functional module diagram of the first embodiment of the multi-dimensional data processing device for urban vital signs monitoring of the present invention.

[0051] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0053] The solution of the embodiment of the present invention is mainly: by collecting urban vital signs data of different dimensions of the current city, a preset weight matrix is ​​constructed; according to the preset weight matrix, the urban vital signs data are layered calculated to obtain layered calculation results; the layered calculation results are analyzed to obtain a comprehensive score of urban vital signs monitoring of the current city, which can meet the data processing requirements of complex urban vital signs monitoring systems, improve the accuracy of evaluating the impact of indicators at each level on the overall urban vital signs, comprehensively consider the multi-dimensional perspectives of the overall urban vital signs, and comprehensively reflect the overall state of urban operation. It can effectively process complex multi-level and multi-field urban vital signs data, provide strong support for urban management decisions, improve the speed and efficiency of multi-dimensional data processing of urban vital signs monitoring, and solve the technical problems in the prior art that the data processing requirements of complex urban vital signs monitoring systems cannot be met, the impact of indicators at each level on the overall urban vital signs cannot be refined, comprehensive consideration cannot be made from the multi-dimensional perspectives of the overall urban vital signs, and the overall state of urban operation cannot be comprehensively reflected.

[0054] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention.

[0055] like Figure 1As shown, the device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed RAM memory, or it may be a stable memory (Non-Volatile Memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0056] Those skilled in the art will understand that Figure 1 The device structure shown in the figure does not constitute a limitation of the device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0057] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating device, a network communication module, a user interface module, and a city vital sign monitoring multi-dimensional data processing program.

[0058] The device of the present invention calls the city vital signs monitoring multi-dimensional data processing program stored in the memory 1005 through the processor 1001, and performs the following operations:

[0059] Collect urban vital signs data of different dimensions of the current city and construct a preset weight matrix;

[0060] Performing hierarchical calculation on the city vital sign data according to the preset weight matrix to obtain hierarchical calculation results;

[0061] The hierarchical calculation results are analyzed to obtain a comprehensive score of the urban vital signs monitoring of the current city.

[0062] The device of the present invention calls the city vital signs monitoring multi-dimensional data processing program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0063] Collect urban vital signs data of different dimensions in the current city;

[0064] A preset weight matrix is ​​constructed for the city vital signs data according to domains, secondary classifications, tertiary classifications, specific indicators and elements.

[0065] The device of the present invention calls the city vital signs monitoring multi-dimensional data processing program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0066] Obtain the corresponding number of domains, secondary classifications, tertiary classifications, specific indicators and elements for each indicator of urban vital signs data;

[0067] Dynamically adjust weights based on the current city's characteristics, development priorities and data dynamics;

[0068] A five-dimensional preset weight matrix is ​​constructed according to the domain, the secondary classification, the tertiary classification, the specific indicators, the elements and the weights, wherein the elements have two elements, including the weight of each indicator in the corresponding three-level classification and the full score corresponding to each indicator.

[0069] The device of the present invention calls the city vital signs monitoring multi-dimensional data processing program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0070] Calculate a single indicator score of the city vital sign data according to the preset weight matrix;

[0071] Calculate the third-level classification score, the second-level classification score and the domain score of the city's physical sign data according to the single indicator score;

[0072] The single indicator score, the three-level classification score and the domain score are used as hierarchical calculation results.

[0073] The device of the present invention calls the city vital signs monitoring multi-dimensional data processing program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0074] The single indicator score of the city vital sign data is calculated according to the preset weight matrix by the following formula:

[0075]

[0076] in, To score a single indicator, is the specific indicator value corresponding to the city's vital signs data, is the indicator weight of each indicator, is the full score of each indicator, d is the domain, c2 is the second-level classification, c3 is the third-level classification, and i is the specific indicator.

[0077] The device of the present invention calls the city vital signs monitoring multi-dimensional data processing program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0078] The three-level classification score of the city's physical sign data is calculated according to the single indicator score by the following formula:

[0079]

[0080] The secondary classification score of the city vital sign data is calculated according to the third-level classification score by the following formula:

[0081]

[0082] The domain score of the city vital signs data is calculated according to the secondary classification score by the following formula:

[0083]

[0084] in, is the three-level classification score, is the number of indicators under the three-level classification, To score a single indicator, is the secondary classification score, is the number of third-level categories under the second-level classification, S d is the domain score, p d The number of secondary categories under the current domain.

[0085] The device of the present invention calls the city vital signs monitoring multi-dimensional data processing program stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0086] The hierarchical calculation results are analyzed to obtain the comprehensive score of the city vital signs monitoring of the current city through the following formula:

[0087]

[0088] Among them, totalScore is the comprehensive score, S d Score the domain.

[0089] Through the above scheme, this embodiment collects urban vital signs data of different dimensions of the current city to construct a preset weight matrix; performs hierarchical calculation on the urban vital signs data according to the preset weight matrix to obtain hierarchical calculation results; analyzes the hierarchical calculation results to obtain a comprehensive score of urban vital signs monitoring of the current city, which can meet the data processing requirements of complex urban vital signs monitoring systems, improve the accuracy of evaluating the impact of indicators at each level on the overall urban vital signs, comprehensively consider the multi-dimensional perspectives of the overall urban vital signs, comprehensively reflect the overall status of urban operation, and effectively process complex, multi-level, and multi-field urban vital signs data, provide strong support for urban management decisions, and improve the speed and efficiency of multi-dimensional data processing of urban vital signs monitoring.

[0090] Based on the above hardware structure, an embodiment of the multi-dimensional data processing method for urban vital signs monitoring of the present invention is proposed.

[0091] Reference Figure 2 , Figure 2 It is a flow chart of the first embodiment of the method for processing multi-dimensional data of urban vital signs monitoring according to the present invention.

[0092] In the first embodiment, the method for processing multi-dimensional data of urban vital signs monitoring comprises the following steps:

[0093] Step S10: Collect city vital sign data of different dimensions of the current city and construct a preset weight matrix.

[0094] It should be noted that the city vital signs data of different dimensions of the current city are collected, and a preset weight matrix can be constructed for the city vital signs data.

[0095] Step S20: performing hierarchical calculation on the city vital sign data according to the preset weight matrix to obtain hierarchical calculation results.

[0096] It should be understood that the city vital sign data can be calculated in layers according to the preset weight matrix, that is, the score of each layer in the preset weight matrix is ​​calculated to obtain the layered calculation results.

[0097] Step S30: Analyze the hierarchical calculation results to obtain a comprehensive score of the city vital signs monitoring of the current city.

[0098] It is understandable that the hierarchical calculation results can be analyzed to obtain a comprehensive score of the city's vital signs monitoring in the current city.

[0099] Through the above scheme, this embodiment collects urban vital signs data of different dimensions of the current city to construct a preset weight matrix; performs hierarchical calculation on the urban vital signs data according to the preset weight matrix to obtain hierarchical calculation results; analyzes the hierarchical calculation results to obtain a comprehensive score of urban vital signs monitoring of the current city, which can meet the data processing requirements of complex urban vital signs monitoring systems, improve the accuracy of evaluating the impact of indicators at each level on the overall urban vital signs, comprehensively consider the multi-dimensional perspectives of the overall urban vital signs, comprehensively reflect the overall status of urban operation, and effectively process complex, multi-level, and multi-field urban vital signs data, provide strong support for urban management decisions, and improve the speed and efficiency of multi-dimensional data processing of urban vital signs monitoring.

[0100] Further, Figure 3 FIG. 2 is a flow chart of a second embodiment of a method for processing multidimensional data for monitoring urban vital signs of the present invention. Figure 3As shown, a second embodiment of the method for processing multidimensional data of urban vital signs monitoring of the present invention is proposed based on the first embodiment. In this embodiment, the step S10 specifically includes the following steps:

[0101] Step S11: Collect city vital sign data of different dimensions of the current city.

[0102] It should be noted that the urban vital signs data of different dimensions of the current city can be collected through the urban vital signs monitoring system.

[0103] Step S12: constructing a preset weight matrix for the city vital sign data according to the domain, secondary classification, tertiary classification, specific indicators and elements.

[0104] It can be understood that a preset weight matrix can be constructed for the city vital sign data according to the domain, secondary classification, tertiary classification, specific indicators and elements.

[0105] Furthermore, the step S12 specifically includes the following steps:

[0106] Obtain the corresponding number of domains, secondary classifications, tertiary classifications, specific indicators and elements for each indicator of urban vital signs data;

[0107] Dynamically adjust weights based on the current city's characteristics, development priorities and data dynamics;

[0108] A five-dimensional preset weight matrix is ​​constructed according to the domain, the secondary classification, the tertiary classification, the specific indicators, the elements and the weights, wherein the elements have two elements, including the weight of each indicator in the corresponding three-level classification and the full score corresponding to each indicator.

[0109] In the specific implementation, a five-dimensional weight matrix can be constructed for the complex data structure of the urban vital signs monitoring system, taking 5 domains, 27 secondary classifications, 26 tertiary classifications, and more than 500 specific indicators as an example: the first dimension corresponds to 5 domains, the second dimension corresponds to 27 secondary classifications, the third dimension corresponds to 26 tertiary classifications, the fourth dimension corresponds to more than 500 specific indicators, and the fifth dimension contains two elements. The first element is the weight of the indicator in the three-level classification to which it belongs, and the second element is the full score of the indicator. Through such a detailed weight matrix design, weights can be accurately assigned to each level and each indicator, thereby adapting to complex multi-level data structures.

[0110] It is understandable that the weights can be adjusted dynamically, that is, a dynamic weight adjustment mechanism can be established based on the characteristics of different cities, the development priorities in different periods, and the dynamic changes in data. For example, during large-scale events, the weights of relevant indicators in the transportation field can be increased in a timely manner in the weight matrix; during critical periods of environmental governance, the weights of relevant indicators in the environmental field can be adjusted accordingly. This dynamic adjustment can make the algorithm more flexibly reflect the contribution of indicators at all levels to the overall situation in different situations.

[0111] It should be understood that by constructing a five-dimensional weight matrix and a hierarchical calculation method, that is, building a five-domain and three-level indicator system, investigating urban operation data in various fields, establishing an urban operation indicator evaluation dimension, and classifying and organizing the massive data collected according to 5 domains, 27 secondary classifications, 26 tertiary classifications and more than 500 specific indicators, it can perfectly adapt to the complex data structure of 5 domains, 27 secondary classifications, 26 tertiary classifications and more than 500 specific indicators in the urban vital signs monitoring system. Each level of data can be reasonably processed in the algorithm, and the inherent connection between data at different levels is fully considered.

[0112] Through the above scheme, this embodiment collects urban vital signs data of different dimensions of the current city; constructs a preset weight matrix for the urban vital signs data according to domains, secondary classifications, tertiary classifications, specific indicators and elements; and can quickly construct a preset weight matrix to meet the data processing requirements of complex urban vital signs monitoring systems, thereby improving the speed and efficiency of multi-dimensional data processing of urban vital signs monitoring.

[0113] Further, Figure 4 FIG. 1 is a flow chart of a third embodiment of a method for processing multidimensional data for monitoring urban vital signs of the present invention. Figure 4 As shown, a third embodiment of the method for processing multidimensional data of urban vital signs monitoring of the present invention is proposed based on the first embodiment. In this embodiment, step S20 specifically includes the following steps:

[0114] Step S21, calculating a single indicator score of the city vital sign data according to the preset weight matrix.

[0115] It should be noted that the single indicator score of the city vital sign data is calculated according to the preset weight matrix.

[0116] Furthermore, the step S21 specifically includes the following steps:

[0117] The single indicator score of the city vital sign data is calculated according to the preset weight matrix by the following formula:

[0118]

[0119] in, To score a single indicator, is the specific indicator value corresponding to the city's vital signs data, is the indicator weight of each indicator, is the full score of each indicator, d is the domain, c2 is the second-level classification, c3 is the third-level classification, and i is the specific indicator.

[0120] In the specific implementation, for the first-level classification, the weight of each domain is determined according to the city’s current key focus areas and overall development strategy, and a city operation vital sign indicator weight system is established based on the city operation evaluation indicator system. The classified data domainData and weight matrix weightMatrix are input into the algorithm for calculation; for the second-level classification, under each domain, the weight of the second-level classification is determined according to the importance and influence of the classification on the domain; for the third-level classification, under each second-level classification, the weight of the third-level classification is determined according to the contribution of the third-level classification to the second-level classification.

[0121] It should be understood that the score of a single indicator is calculated as follows: for each specific indicator, the ratio of its actual value to the full score is multiplied by the weight of the indicator in the three-level classification to which it belongs, to obtain the score of the single indicator.

[0122] Step S22: Calculate the third-level classification score, the second-level classification score and the domain score of the city vital sign data according to the single indicator score.

[0123] It can be understood that the third-level classification score, the second-level classification score and the domain score of the city vital sign data are calculated based on the single indicator score.

[0124] Furthermore, the step S22 specifically includes:

[0125] The three-level classification score of the city's physical sign data is calculated according to the single indicator score by the following formula:

[0126]

[0127] The secondary classification score of the city vital sign data is calculated according to the third-level classification score by the following formula:

[0128]

[0129] The domain score of the city vital signs data is calculated according to the secondary classification score by the following formula:

[0130]

[0131] in, is the three-level classification score, is the number of indicators under the three-level classification, To score a single indicator, is the secondary classification score, is the number of third-level categories under the second-level classification, S d is the domain score, p d The number of secondary categories under the current domain.

[0132] It should be understood that d represents domain (d=1,2…5), c2 represents secondary classification (c2=1,2,3…,27), c3 represents tertiary classification (c3=1,2,3…26), i represents specific indicator (i=1,2…,500+), and the scores of all individual indicators under the same three-level classification are added together to obtain the score of the three-level classification; the scores of all three-level classifications under the same second-level classification are added together and multiplied by the weight of the second-level classification in the domain to which it belongs to obtain the score of the second-level classification; the scores of all second-level classifications under the same domain are added together to obtain the score of the domain.

[0133] Step S23: taking the single indicator score, the three-level classification score and the domain score as hierarchical calculation results.

[0134] It should be understood that the single indicator score, the three-level classification score and the domain score can be used as hierarchical calculation results.

[0135] Furthermore, the step S30 specifically includes the following steps:

[0136] The hierarchical calculation results are analyzed to obtain the comprehensive score of the city vital signs monitoring of the current city through the following formula:

[0137]

[0138] Among them, totalScore is the comprehensive score, S d Score the domain.

[0139] It should be understood that based on the comprehensive score and the scores of each category, the operating status of urban vital signs can be evaluated and analyzed to provide data support for urban management decisions.

[0140] In specific implementations, a mechanism for dynamically adjusting weights can be used according to different scenarios and urban development priorities, allowing the algorithm to flexibly respond to various situations; whether in daily monitoring or during special events (such as large-scale events, natural disasters, etc.), it can accurately reflect the actual status of urban vital signs, avoiding information confusion or inaccurate evaluations due to complex data structures.

[0141] Comprehensive and accurate assessment of urban vital signs:

[0142] Comprehensive consideration of multiple fields: It overcomes the limitations of data analysis in a single field and integrates data from multiple fields such as transportation, environment, people's livelihood, economy, and infrastructure; from the perspective of overall urban operation, it comprehensively evaluates the impact of various fields on urban vital signs and avoids misleading results caused by one-sided evaluation.

[0143] The contribution of multi-level indicators is clear: The process of hierarchical calculation and comprehensive evaluation clearly shows the contribution of specific indicators to the overall score of the city, from classifications at all levels to the entire domain. This helps city managers accurately locate the areas, classifications and even specific indicators where problems exist, and provides detailed data support for the formulation of targeted policies and measures.

[0144] Provide strong support for urban management decision-making:

[0145] Scientific decision-making basis: The comprehensive score output by the algorithm and the detailed scores at each level provide city managers with a comprehensive, objective and scientific basis for decision-making; managers can use these data to understand the advantages and disadvantages of urban operations and make more reasonable decisions in resource allocation, project planning, policy formulation, etc.

[0146] Improve urban management efficiency: Through accurate urban vital signs assessment, potential problems and risks in urban operations can be discovered in a timely manner, and measures can be taken in advance to intervene and optimize; this helps to avoid the deterioration of problems, reduce economic losses and social impacts caused by poor urban operations, and improve the efficiency and quality of urban management

[0147] Through the above scheme, this embodiment calculates the single indicator score of the urban vital signs data through the preset weight matrix; calculates the three-level classification score, the two-level classification score and the domain score of the urban vital signs data according to the single indicator score; uses the single indicator score, the three-level classification score and the domain score as the hierarchical calculation result, which can quickly form the hierarchical calculation result, thereby improving the speed and efficiency of processing multidimensional data of urban vital signs monitoring.

[0148] Correspondingly, the present invention further provides a multi-dimensional data processing device for urban vital signs monitoring.

[0149] Reference Figure 5 , Figure 5 This is a functional module diagram of the first embodiment of the multi-dimensional data processing device for urban vital signs monitoring of the present invention.

[0150] In the first embodiment of the multi-dimensional data processing device for urban vital signs monitoring of the present invention, the multi-dimensional data processing device for urban vital signs monitoring comprises:

[0151] The matrix construction module 10 is used to collect the city vital sign data of different dimensions of the current city and construct a preset weight matrix.

[0152] The hierarchical calculation module 20 is used to perform hierarchical calculation on the city vital sign data according to the preset weight matrix to obtain hierarchical calculation results.

[0153] The analysis and scoring module 30 is used to analyze the hierarchical calculation results to obtain a comprehensive score of the urban vital signs monitoring of the current city.

[0154] The matrix construction module 10 is also used to collect city vital signs data of different dimensions of the current city; and to construct a preset weight matrix for the city vital signs data according to domains, secondary classifications, tertiary classifications, specific indicators and elements.

[0155] The matrix construction module 10 is also used to obtain the domains, secondary classifications, tertiary classifications, specific indicators and elements corresponding to the number of indicators of the city's vital signs data; dynamically adjust the weights according to the characteristics of the current city, key development plans and dynamic changes in data; and construct a five-dimensional preset weight matrix based on the domains, the secondary classifications, the tertiary classifications, the specific indicators, the elements and the weights, wherein the number of elements of the elements is two, including the weight of each indicator in the three-level classification to which it belongs and the full score corresponding to each indicator.

[0156] The hierarchical calculation module 20 is also used to calculate the single indicator score of the city vital signs data according to the preset weight matrix; calculate the third-level classification score, the second-level classification score and the domain score of the city vital signs data according to the single indicator score; and use the single indicator score, the third-level classification score and the domain score as the hierarchical calculation result.

[0157] The hierarchical calculation module 20 is further used to calculate the single indicator score of the city vital sign data according to the preset weight matrix by the following formula:

[0158]

[0159] in, To score a single indicator, is the specific indicator value corresponding to the city's vital signs data, is the indicator weight of each indicator, is the full score of each indicator, d is the domain, c2 is the second-level classification, c3 is the third-level classification, and i is the specific indicator.

[0160] The hierarchical calculation module 20 is further used to calculate the three-level classification score of the city vital sign data according to the single indicator score by the following formula:

[0161]

[0162] The secondary classification score of the city vital sign data is calculated according to the third-level classification score by the following formula:

[0163]

[0164] The domain score of the city vital signs data is calculated according to the secondary classification score by the following formula:

[0165]

[0166] in, is the three-level classification score, is the number of indicators under the three-level classification, To score a single indicator, is the secondary classification score, is the number of third-level categories under the second-level classification, S d is the domain score, p d The number of secondary categories under the current domain.

[0167] The analysis and scoring module 30 is further used to analyze the hierarchical calculation results and obtain the comprehensive score of the city vital sign monitoring of the current city through the following formula:

[0168]

[0169] Among them, totalScore is the comprehensive score, S d Score the domain.

[0170] Among them, the steps implemented by each functional module of the urban vital sign monitoring multi-dimensional data processing device can refer to the various embodiments of the urban vital sign monitoring multi-dimensional data processing method of the present invention, and will not be repeated here.

[0171] In addition, an embodiment of the present invention further provides a storage medium, on which a city vital signs monitoring multi-dimensional data processing program is stored. When the city vital signs monitoring multi-dimensional data processing program is executed by a processor, the following operations are implemented:

[0172] Collect urban vital signs data of different dimensions of the current city and construct a preset weight matrix;

[0173] Performing hierarchical calculation on the city vital sign data according to the preset weight matrix to obtain hierarchical calculation results;

[0174] The hierarchical calculation results are analyzed to obtain a comprehensive score of the urban vital signs monitoring of the current city.

[0175] Furthermore, when the city vital signs monitoring multi-dimensional data processing program is executed by the processor, the following operations are also implemented:

[0176] Collect urban vital signs data of different dimensions in the current city;

[0177] A preset weight matrix is ​​constructed for the city vital signs data according to domains, secondary classifications, tertiary classifications, specific indicators and elements.

[0178] Furthermore, when the city vital signs monitoring multi-dimensional data processing program is executed by the processor, the following operations are also implemented:

[0179] Obtain the corresponding number of domains, secondary classifications, tertiary classifications, specific indicators and elements for each indicator of urban vital signs data;

[0180] Dynamically adjust weights based on the current city's characteristics, development priorities and data dynamics;

[0181] A five-dimensional preset weight matrix is ​​constructed according to the domain, the secondary classification, the tertiary classification, the specific indicators, the elements and the weights, wherein the elements have two elements, including the weight of each indicator in the corresponding three-level classification and the full score corresponding to each indicator.

[0182] Furthermore, when the city vital signs monitoring multi-dimensional data processing program is executed by the processor, the following operations are also implemented:

[0183] Calculate a single indicator score of the city vital sign data according to the preset weight matrix;

[0184] Calculate the third-level classification score, the second-level classification score and the domain score of the city's physical sign data according to the single indicator score;

[0185] The single indicator score, the three-level classification score and the domain score are used as hierarchical calculation results.

[0186] Furthermore, when the city vital signs monitoring multi-dimensional data processing program is executed by the processor, the following operations are also implemented:

[0187] The single indicator score of the city vital sign data is calculated according to the preset weight matrix by the following formula:

[0188]

[0189] in, To score a single indicator, is the specific indicator value corresponding to the city's vital signs data, is the indicator weight of each indicator, is the full score of each indicator, d is the domain, c2 is the second-level classification, c3 is the third-level classification, and i is the specific indicator.

[0190] Furthermore, when the city vital signs monitoring multi-dimensional data processing program is executed by the processor, the following operations are also implemented:

[0191] The three-level classification score of the city's physical sign data is calculated according to the single indicator score by the following formula:

[0192]

[0193] The secondary classification score of the city vital sign data is calculated according to the third-level classification score by the following formula:

[0194]

[0195] The domain score of the city vital signs data is calculated according to the secondary classification score by the following formula:

[0196]

[0197] in, is the three-level classification score, is the number of indicators under the three-level classification, To score a single indicator, is the secondary classification score, is the number of third-level categories under the second-level classification, S d is the domain score, p d The number of secondary categories under the current domain.

[0198] Furthermore, when the city vital signs monitoring multi-dimensional data processing program is executed by the processor, the following operations are also implemented:

[0199] The hierarchical calculation results are analyzed to obtain the comprehensive score of the city vital signs monitoring of the current city through the following formula:

[0200]

[0201] Among them, totalScore is the comprehensive score, S d Score the domain.

[0202] Those skilled in the art will appreciate that all or part of the steps in the above-mentioned implementation method can be accomplished by instructing related hardware through a program, and the program is stored in a storage medium, including a number of instructions for enabling a device (which may be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each implementation method of the present application; and the aforementioned storage medium is a computer-readable storage medium, including: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes.

[0203] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0204] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0205] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for processing multidimensional data of urban vital signs monitoring, characterized in that: The multi-dimensional data processing method for urban vital signs monitoring comprises: Collect urban vital signs data of different dimensions of the current city and construct a preset weight matrix; Performing hierarchical calculation on the city vital sign data according to the preset weight matrix to obtain hierarchical calculation results; The hierarchical calculation results are analyzed to obtain a comprehensive score of the urban vital signs monitoring of the current city.

2. The method for processing multidimensional data of urban vital signs monitoring according to claim 1, characterized in that: The collecting of city vital sign data of different dimensions of the current city and constructing a preset weight matrix includes: Collect urban vital signs data of different dimensions in the current city; A preset weight matrix is ​​constructed for the city vital signs data according to domains, secondary classifications, tertiary classifications, specific indicators and elements.

3. The method for processing multidimensional data of urban vital signs monitoring according to claim 2, characterized in that: The method of constructing a preset weight matrix for the city vital signs data according to the domain, secondary classification, tertiary classification, specific indicators and elements includes: Obtain the corresponding number of domains, secondary classifications, tertiary classifications, specific indicators and elements for each indicator of urban vital signs data; Dynamically adjust weights based on the current city's characteristics, development priorities and data dynamics; A five-dimensional preset weight matrix is ​​constructed according to the domain, the secondary classification, the tertiary classification, the specific indicators, the elements and the weights, wherein the elements have two elements, including the weight of each indicator in the corresponding three-level classification and the full score corresponding to each indicator.

4. The multi-dimensional data processing method for urban vital signs monitoring according to claim 1 is characterized in that: The step of performing hierarchical calculation on the city vital sign data according to the preset weight matrix to obtain hierarchical calculation results includes: Calculate a single indicator score of the city vital sign data according to the preset weight matrix; Calculate the third-level classification score, the second-level classification score and the domain score of the city's physical sign data according to the single indicator score; The single indicator score, the three-level classification score and the domain score are used as hierarchical calculation results.

5. The method for processing multidimensional data of urban vital signs monitoring according to claim 4, characterized in that: The calculating a single indicator score of the city vital sign data according to the preset weight matrix includes: The single indicator score of the city vital sign data is calculated according to the preset weight matrix by the following formula: in, To score a single indicator, is the specific indicator value corresponding to the city's vital signs data, is the indicator weight of each indicator, is the full score of each indicator, d is the domain, c2 is the second-level classification, c3 is the third-level classification, and i is the specific indicator.

6. The method for processing multidimensional data of urban vital signs monitoring according to claim 4, characterized in that: The calculating of the third-level classification score, the second-level classification score and the domain score of the city vital signs data according to the single indicator score includes: The three-level classification score of the city's physical sign data is calculated according to the single indicator score by the following formula: The secondary classification score of the city vital sign data is calculated according to the third-level classification score by the following formula: The domain score of the city vital signs data is calculated according to the secondary classification score by the following formula: in, is the three-level classification score, is the number of indicators under the three-level classification, To score a single indicator, is the secondary classification score, is the number of third-level categories under the second-level classification, S d is the domain score, p d The number of secondary categories under the current domain.

7. The method for processing multidimensional data of urban vital signs monitoring according to claim 1, characterized in that: The step of analyzing the hierarchical calculation results to obtain a comprehensive score of the city vital signs monitoring of the current city includes: The hierarchical calculation results are analyzed to obtain the comprehensive score of the city vital signs monitoring of the current city through the following formula: Among them, totalScore is the comprehensive score, S d Score the domain.

8. A multi-dimensional data processing device for urban vital signs monitoring, characterized in that: The urban vital signs monitoring multi-dimensional data processing device comprises: The matrix construction module is used to collect the city vital signs data of different dimensions of the current city and construct a preset weight matrix; A hierarchical calculation module, used to perform hierarchical calculation on the city vital sign data according to the preset weight matrix to obtain hierarchical calculation results; The analysis and scoring module is used to analyze the hierarchical calculation results to obtain a comprehensive score of the urban vital signs monitoring of the current city.

9. A multi-dimensional data processing device for urban vital signs monitoring, characterized in that: The urban vital signs monitoring multidimensional data processing device includes: a memory, a processor, and an urban vital signs monitoring multidimensional data processing program stored in the memory and executable on the processor, wherein the urban vital signs monitoring multidimensional data processing program is configured to implement the steps of the urban vital signs monitoring multidimensional data processing method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a city vital sign monitoring multidimensional data processing program, and when the city vital sign monitoring multidimensional data processing program is executed by the processor, the steps of the city vital sign monitoring multidimensional data processing method as described in any one of claims 1 to 7 are implemented.

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