A Method and System for Managing Smart City Monitoring Information Based on Blockchain

Abstract

The present invention discloses a method for managing smart city monitoring information based on blockchain, which relates to the technical field of smart city supervision and includes the following steps: establishing a smart city monitoring model; when the smart city monitoring model is in a continuous working state, by calling the road-related data set in the database, establishing a road load change data set and obtaining a road congestion coefficient; the technical key point is that by building a smart city monitoring model, after obtaining the road congestion coefficient and combining it with the monitoring and management module, it can reflect the congestion status of each road section in each sub-region in real time, which is convenient for supervisors to monitor. On the one hand, it can efficiently lock the congested sections and find out the problem points. On the other hand, under the data rapid sharing model, it enables the police force to be dispatched between sub-regions, and on the basis of not affecting the maintenance of the road order in each sub-region itself, complete the support for other sub-regions, and accelerate the stable construction of the urban road order.

Description

Technical Field

[0001] The present invention relates to the technical field of smart city supervision, and specifically to a method and system for managing smart city monitoring information based on blockchain. Background Art

[0002] Smart cities originated in the media field. It refers to the application of intelligent computing technologies such as the Internet of Things, cloud computing, big data, and spatial geographic information integration in the fields of urban planning, design, construction, management, and operation, making the key infrastructure components and services of urban components such as urban management, education, medical care, real estate, transportation, public utilities, and public safety more interconnected, efficient, and intelligent, so as to provide citizens with a better life and work service, create a more favorable business development environment for enterprises, and empower the government with a more efficient operation and management mechanism.

[0003] Applying blockchain technology to the supervision system of smart cities can enable the supervision system to comprehensively and effectively manage and analyze various monitoring devices and data in the city based on technical means such as the Internet of Things, the Internet, and big data; the traditional information management steps are: S1, obtaining monitoring information, obtaining various monitoring information in the city through monitoring devices; S2, signing and encrypting, performing digital signature and encryption operations on each obtained monitoring information to ensure the security and integrity of the data; S3, storing information, storing the signed and encrypted monitoring information on the blockchain to ensure the traceability and immutability of the data; S4, verifying information, verifying the authenticity and integrity of the monitoring information through blockchain technology to ensure the reliability and correctness of the monitoring information; S5, data query, smart city management personnel can monitor various situations in the city and respond to various crisis events in a timely manner by querying the monitoring information on the blockchain;

[0004] In the Chinese invention application with the application publication number CN114692768 A, a method and system for managing smart city roads based on big data are disclosed, including the following steps: Step 1, obtaining the congestion characteristic curve of smart city roads; Step 2, obtaining the probability of an accident occurring on each smart city road according to the smart city road environment characteristics of the congestion characteristic curve of smart city roads; Step 3, obtaining the type of accident occurring on smart city roads according to the congestion characteristic curve of smart city roads and the probability of an accident occurring on each smart city road.

[0005] In the above invention application, even if the technologies of big data and blockchain are combined with the smart city road management method to enhance the security of information management for the construction of smart city road order, it only uses the characteristic curve of the road congestion state to determine the probability of an accident, which has no effect on the management of road order. The characteristic curve of the road congestion state cannot fully reflect the specific congestion degree of the road, and it has no positive impact on when the vehicles under the current congestion can be cleared. When managing the current road conditions, a large number of traffic police are dispatched, but the police force is limited, and the locking of specific congestion road conditions and the requirements for the required police force value are not met. Therefore, the stable construction of smart city road order cannot be further guaranteed. Summary of the Invention

[0006] (1) Technical problems to be solved

[0007] In view of the deficiencies of the prior art, the present invention provides a blockchain-based smart city monitoring information management method and system. By building a smart city monitoring model and combining it with the monitoring management module after obtaining the road congestion coefficient Tci, it can reflect the congestion state of each road section in each area in real time. On the one hand, it can efficiently lock the congested sections. On the other hand, under the data rapid sharing model, it enables police force scheduling between different areas. If there is a situation where the police force value in a corresponding area is insufficient, it can lock the adjacent area with the largest police force value and complete the police force scheduling for the area with insufficient police force, thus solving the problems raised in the background art.

[0008] (2) Technical solutions

[0009] To achieve the above objectives, the present invention is realized through the following technical solutions:

[0010] A blockchain-based smart city monitoring information management method includes the following steps:

[0011] Establish a smart city monitoring model, integrate the monitoring information obtained by all monitoring devices in the city, establish a database composed of various data sets, construct a corresponding analysis module, and determine the influence degree of the variables in the data set on the road congestion state in the city roads;

[0012] When the smart city monitoring model is in a continuous working state, by calling the road-related data sets in the database, a road load change data set is established and the road congestion coefficient Tci is obtained. Based on the obtained road congestion coefficient Tci for each section, a partitioned monitoring and management module is established, and artificial intelligence technology is used for analysis and early warning, and the standardized allocation of police force values is completed; in addition, there is also a corresponding management system for the above-mentioned database, which is used to provide management functions for the creation, addition, deletion, and backup of the database to ensure that the database can be flexibly operated. At the same time, the management system is equipped with construction site management, providing functions for creating and modifying construction sites. Multiple construction sites can be designed for multi-point operations in the management system to complete the operations of modification and creation;

[0013] Perform data signing and encryption operations on each obtained monitoring information, and store the signed and encrypted monitoring information on the blockchain, and simultaneously verify the monitoring information through blockchain technology; through digital signature and encryption operations, the security and integrity of the data are guaranteed, and at the same time, the risk of data tampering is prevented through blockchain technology; smart city management personnel can easily verify the authenticity and integrity of the monitoring information through blockchain technology, ensuring the credibility and correctness of the monitoring information; through blockchain technology, the sharing of monitoring information between different departments and institutions in the smart city can be realized, helping management personnel better monitor various situations occurring in the city; smart city management personnel can integrate different monitoring devices in the city through this system to achieve the comprehensive management of smart city monitoring information;

[0014] Build a data rapid sharing model, use blockchain technology to complete the sharing of monitoring information and all road congestion coefficients, realize the integration and docking between different partitions, and then introduce the scheduling unit configured in the data rapid sharing model to complete police force scheduling; the above-mentioned blockchain technology can realize the sharing of monitoring information between different departments and institutions in the smart city, helping management personnel better monitor various situations occurring in the city.

[0015] Furthermore, all monitoring devices include several monitoring points in different regions. The monitoring points at least include monitoring point A and monitoring point B, and there are also other different types of monitoring points. Since the principles are the same, they will not be elaborated here;

[0016] Among them, the monitoring point A is used to obtain urban road load data and form a corresponding data set;

[0017] The monitoring point B is used to obtain urban weather condition data and form a corresponding data set.

[0018] Specifically, the setting of the monitoring point type can be operated according to requirements. At the same time, the data obtained by the monitoring points are grouped into data sets according to the same type, and different types of data sets can be stored in the database. At the same time, the corresponding analysis module can perform targeted analysis and processing on the corresponding data set to ensure the consistency and integrity of the analysis results.

[0019] In each of the above-mentioned analysis modules, the analysis module corresponding to the road congestion status calls the data set obtained by monitoring point A. After completing the analysis of the road-related data set, it outputs the road congestion coefficient Tci. The higher the corresponding output of the road congestion coefficient Tci, the higher the degree of road congestion during the corresponding time period.

[0020] Furthermore, when the road traffic flow enters the congested state, a monitoring camera is installed at a fixed point on the road to obtain the number of vehicles passing through per unit time, which is the traffic flow Qt, and obtain the road capacity Rc. The average vehicle speed Vt per unit time is obtained by the radar speedometer installed at the fixed point.

[0021] The method for obtaining the road congestion coefficient Tci is as follows: Obtain the traffic flow Qt, the road capacity Rc, and the average vehicle speed Vt of the vehicle. After dimensionless processing, they are associated to form the road congestion coefficient Tci.

[0022]

[0023] Among them, the meaning of the parameters is that 0.11 ≤ α ≤ 0.98, 0.14 ≤ β ≤ 1.05, and 0.3 ≤ α + β ≤ 1.4. α and β are weights, and their specific values are adjusted and set by the user. C 1 is a constant correction coefficient.

[0024] Each road section under each partition corresponds to a road congestion coefficient Tci, and the road congestion coefficient Tci of the corresponding road section is displayed on the display screen in the smart city monitoring model. All road congestion coefficients Tci belong to the monitoring information. Through the marking module in the smart city monitoring model, the road sections with the road congestion coefficient Tci higher than the threshold are marked, and the targeted standardized allocation of police force values for this road section is completed in combination with the monitoring management module; after marking, a prominent red line can be displayed on the display screen corresponding to this road section, and other road sections with the road congestion coefficient Tci not higher than the threshold are displayed in green, which is convenient for the staff to complete the preliminary observation clearly and plays the original marking role.

[0025] Among them, the threshold is set to: 1;

[0026] According to the following formula: {(Tci - 1) * 100}%, the additional time required for vehicles on the same road section can be obtained.

[0027] It should be noted that the above formula only operates when the road congestion coefficient Tci is higher than the threshold. If the road congestion coefficient Tci is lower than or equal to the threshold, the above formula is not applicable;

[0028] For example: If the value of the road congestion coefficient Tci is 1.2, substituting it into the formula, we get {(1.2 - 1) * 100}% = 20%, which means that vehicles on the same section need to spend 20% more of their original time.

[0029] Furthermore, in the monitoring and management module;

[0030] First: The monitoring and management modules in each partition are used to collect the road congestion coefficient Tci within the current partition;

[0031] Then: Using artificial intelligence technology for analysis, if the road congestion coefficient Tc of the corresponding section is higher than the threshold, a mark is made and a warning is issued at the same time; if the road congestion coefficient Tc of the corresponding section is lower than the threshold, no mark is made;

[0032] Finally: The road congestion coefficients Tci of the current partition are output.

[0033] For the standardized allocation of police force values in the monitoring and management module, the judgment basis formula is: (Tci - 1) * 10, and the obtained value is the number of police officers required for the corresponding section, and the number of police officers required is the police force value;

[0034] In the dispatching unit configured in the data rapid sharing model, if the police force value of the corresponding partition is insufficient, the adjacent partition with the largest police force value can be locked, and the police force dispatching for the partition with insufficient police force value can be completed;

[0035] Among them, when dispatching the police force of the adjacent partition with the largest police force value, it cannot exceed 30% of the original police force value, and the excess part is supplemented by the adjacent partition with the second largest police force value, so as to ensure the police force of the dispatched partition, and the excess part is supplemented by the adjacent partition with the second largest police force value, so as to keep the police force values between adjacent regions in a balanced state.

[0036] A blockchain-based smart city monitoring information management system, which includes a data collection unit, establishes a smart city monitoring model, integrates the monitoring information obtained by all monitoring devices in the city, and establishes a database composed of various data sets, constructs a corresponding analysis module, and determines the influence degree of the variables in the data set on the road congestion state in the urban road;

[0037] The data processing unit, by calling the road-related data set in the database, establishes a road load change data set and obtains the road congestion coefficient Tci. On the basis of obtaining the road congestion coefficient Tci corresponding to each road section, a partitioned monitoring and management module is established, and artificial intelligence technology is used for analysis and early warning, and the standardized allocation of police force values is completed; data signature and encryption operations are performed on each obtained monitoring information, and the signed and encrypted monitoring information is stored on the blockchain, and the monitoring information is verified through blockchain technology at the same time;

[0038] The data output unit builds a data rapid sharing model, and uses cloud computing technology to complete the sharing of monitoring information and all road congestion coefficients, realizes the integration and docking between different partitions, and then introduces the scheduling unit configured in the data rapid sharing model to complete police force scheduling without manual control.

[0039] (III) Beneficial effects

[0040] The present invention provides a method and system for managing monitoring information of a smart city based on blockchain, and has the following beneficial effects:

[0041] 1. In the process of building a smart city, blockchain technology is utilized. Through digital signature and encryption operations, the security and integrity of data are guaranteed. At the same time, the risk of data being tampered with is prevented through blockchain technology. At the same time, the sharing of monitoring information between different departments and institutions in the smart city can be realized, helping managers better monitor various situations occurring in the city;

[0042] 2. By building a smart city monitoring model, after obtaining the road congestion coefficient Tci and combining it with the monitoring and management module, the congestion status of each road section in each partition can be reflected in real time, which is convenient for supervisors to monitor in real time. On the one hand, it can efficiently lock the congested road sections and find out the problem points. On the other hand, under the data rapid sharing model, police force scheduling can be realized between different partitions. On the basis of not affecting the maintenance of the road order of each partition itself, the support for other partitions can be completed, and the stable construction degree of the urban road order can be accelerated;

[0043] 3. If there is a situation where the police force value in the corresponding partition is insufficient, the adjacent partition with the largest police force value can be locked, and the police force scheduling for the partition with insufficient police force value can be completed. Since the setting that when scheduling the police force of the adjacent partition with the largest police force value, it cannot exceed 30% of the original police force value is added, the police force of the supporting partition is guaranteed, and the excess part is supplemented by the adjacent partition with the second largest police force value, effectively coping with the possible problems in the construction of urban road order. Description of the drawings

[0044] Figure 1This is a schematic diagram of the process of the smart city monitoring information management system based on blockchain of the present invention. Specific embodiments

[0045] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0046] Embodiment 1: The present invention provides a method for managing smart city monitoring information based on blockchain, including the following steps:

[0047] Step 1: Establish a smart city monitoring model, integrate the monitoring information obtained by all monitoring devices in the city, establish a database composed of each data set, construct a corresponding analysis module, and determine the influence degree of the variables in the data set on the road congestion status in the urban road;

[0048] The content of the above step 1 includes the following:

[0049] Step S101: The monitoring devices used to obtain monitoring information include several monitoring points in different regions. The monitoring points at least include monitoring point A and monitoring point B, and there are also other types of monitoring points, which can be established according to specific needs;

[0050] Among them, the monitoring point A is used to obtain the urban road load data and form a corresponding data set;

[0051] The monitoring point B is used to obtain the urban weather status data and form a corresponding data set;

[0052] Step S102: In each of the above analysis modules, the analysis module corresponding to the road congestion status calls the data set obtained by the monitoring point A. After completing the analysis of the data set related to the road, the road congestion coefficient Tci is output. The higher the output corresponding to the road congestion coefficient Tci, the higher the road congestion degree in the corresponding time period;

[0053] For example: when the value of the road congestion coefficient Tci is 1.2, it means that the traffic speed is only four-fifths of the normal situation, which means that 20% more time is required for the same journey. The value of the road congestion coefficient Tci only needs one digit after the decimal point. If the value of Tci is 1.3, it means that 30% more time is required for the same journey.

[0054] When in use, combine the content in steps 101 and 102:

[0055] The setting of the monitoring point type can be operated according to requirements. At the same time, the data obtained by the monitoring points are grouped into data sets according to the same type. Data sets of different types can be stored in the database. At the same time, the corresponding analysis module can perform targeted analysis and processing on the corresponding data sets to ensure the consistency and integrity of the analysis results;

[0056] In addition, the above-mentioned database also has a corresponding management system. This management system is used to provide management functions for creating, adding, deleting, and backing up the database to ensure that the database can be flexibly operated. At the same time, the management system is equipped with construction site management, providing functions for creating and modifying construction sites. Multiple construction sites can be designed and multi-point operations can be performed in the management system to complete the operations of modification and creation.

[0057] Step 2: When the smart city monitoring model is in a continuous working state, by calling the road-related data sets in the database, establish a road load change data set and obtain the road congestion coefficient Tci. On the basis of obtaining the road congestion coefficient Tci corresponding to each road section, establish a partitioned monitoring and management module, use artificial intelligence technology for analysis and early warning, and complete the standardized allocation of police force values;

[0058] The above Step 2 includes the following contents:

[0059] Step S201: When the road traffic flow enters a congested state, install a monitoring camera at a fixed point on the road to obtain the traffic flow Qt, which is the number of cars passing through per unit time, and obtain the road capacity Rc. The road capacity is the maximum number of vehicles that can be accommodated on the same road section. The average vehicle speed Vt per unit time is obtained by the radar speedometer installed at the fixed point;

[0060] In this application, it is defaulted that the vehicle is a small car and the road sections are all highway sections, so as to avoid the large impact of large cars on the road capacity value on ordinary road sections, thereby ensuring the accuracy of the value of the road congestion coefficient Tci finally obtained;

[0061] Step S202: The method for obtaining the road congestion coefficient Tci is as follows: Obtain the traffic flow Qt, the road capacity Rc, and the average vehicle speed Vt of the vehicle. After dimensionless processing, they are associated to form the road congestion coefficient Tci.

[0062]

[0063] Among them, the meaning of the parameters is that 0.11 ≤ α ≤ 0.98, 0.14 ≤ β ≤ 1.05, and 0.3 ≤ α + β ≤ 1.4. α and β are weights, and their specific values are adjusted and set by the user. C 1 is a constant correction coefficient;

[0064] Step S203: Each road section under each partition corresponds to a road congestion coefficient Tci, and the road congestion coefficient Tci of the corresponding section is displayed on the display screen in the smart city monitoring model. All road congestion coefficients Tci belong to the monitoring information. Through the marking module in the smart city monitoring model, the sections with road congestion coefficient Tci higher than the threshold are marked, and the monitoring management module is combined to complete the targeted standardized allocation of police force values for that section; after marking, prominent red lines can be displayed on the display screen corresponding to that section, and other sections with road congestion coefficient Tci not higher than the threshold are displayed in green, which is convenient for the staff to complete the preliminary observation clearly and plays the original marking role;

[0065] Among them, the threshold is set to: 1;

[0066] According to the following formula: {(Tci - 1) * 100}%, the additional time required for vehicles on the same section can be obtained;

[0067] The above formula only operates for road congestion coefficient Tci higher than the threshold;

[0068] For example: If the value of road congestion coefficient Tci is 1.2, substituting it into the formula, we get {(1.2 - 1) * 100}% = 20%, which means that vehicles on the same section need to spend an additional 20% of the original time;

[0069] Step S204: In the monitoring management module;

[0070] First: The monitoring management modules under each partition are used to collect the road congestion coefficient Tci in the current partition;

[0071] Then: Using artificial intelligence technology for analysis, if the road congestion coefficient Tc of the corresponding section is higher than the threshold, a warning is issued while making a mark; if the road congestion coefficient Tc of the corresponding section is lower than the threshold, no mark is made;

[0072] Finally: Output the road congestion coefficients Tci of the current partition;

[0073] For the above standardized allocation of police force values in the monitoring management module, the judgment basis formula is: (Tci - 1) * 10, and the obtained value is the number of police officers required for the corresponding section, and the number of police officers required is the police force value;

[0074] When in use, combine the content in steps 201 and 204:

[0075] By building a smart city monitoring model and combining it with the monitoring and management module after obtaining the road congestion coefficient Tci, it can reflect the congestion status of each road section in each sub-region in real time, facilitating real-time monitoring by supervisors. On the one hand, it can efficiently lock the congested road sections and identify problem points. On the other hand, under the data rapid sharing model, it enables police force scheduling between different sub-regions. Without affecting the maintenance of the road order in each sub-region itself, it can complete the support for other sub-regions and accelerate the stable construction of the urban road order.

[0076] Step 3: Perform data signature and encryption operations on each obtained monitoring information, store the signed and encrypted monitoring information on the blockchain, and simultaneously verify the monitoring information through blockchain technology;

[0077] The said Step 3 includes the following contents:

[0078] Step S301: Perform digital signature and encryption operations on each obtained monitoring information;

[0079] Step S302: Store the information, store the signed and encrypted monitoring information on the blockchain;

[0080] Step S303: Verify the information, verify the authenticity and integrity of the monitoring information through blockchain technology;

[0081] When in use, combine the contents in Steps 301 and 303:

[0082] Through digital signature and encryption operations, the security and integrity of the data are guaranteed. At the same time, the risk of data being tampered with is prevented through blockchain technology; Smart city managers can easily verify the authenticity and integrity of the monitoring information through blockchain technology, ensuring the credibility and correctness of the monitoring information; Through blockchain technology, the sharing of monitoring information between different departments and institutions in the smart city can be realized, helping managers better monitor various situations occurring in the city; Smart city managers can integrate different monitoring devices in the city through this system to achieve the comprehensive management of smart city monitoring information.

[0083] Step 4: Build a data rapid sharing model, use blockchain technology to complete the sharing of monitoring information and all road congestion coefficients, achieve the integration and docking between different sub-regions, and then introduce the scheduling unit configured in the data rapid sharing model to complete the police force scheduling;

[0084] The said Step 4 includes the following contents:

[0085] Step S401: In the scheduling unit configured in the data rapid sharing model, if the police force value in the corresponding sub-region is insufficient, the adjacent sub-region with the largest police force value can be locked, and the police force scheduling for the sub-region with insufficient police force value can be completed;

[0086] Step S402: When dispatching police force to the adjacent district with the largest police force value, the increase should not exceed 30% of the original police force value, and the excess part should be supplemented by the adjacent district with the second largest police force value.

[0087] During use, combine the content in Steps 401 and 402:

[0088] If there is a situation where the police force value in a corresponding district is insufficient, the adjacent district with the largest police force value can be locked, and the police force dispatching for the district with insufficient police force value can be completed. Since the setting that when dispatching police force to the adjacent district with the largest police force value, the increase should not exceed 30% of the original police force value is added, the police force of the supporting district is guaranteed, and the excess part is supplemented by the adjacent district with the second largest police force value, effectively addressing the possible problems in the construction of urban road order.

[0089] Embodiment 2: Please refer to Figure 1 , the present invention provides a smart city monitoring information management system based on blockchain;

[0090] The system includes a data acquisition unit, which establishes a smart city monitoring model, integrates the monitoring information obtained by all monitoring devices in the city, and establishes a database composed of various data sets, constructs a corresponding analysis module, and determines the influence degree of the variables in the data set on the road congestion status in the urban road;

[0091] A data processing unit, by calling the road-related data sets in the database, establishes a road load change data set and obtains the road congestion coefficient Tci. Based on obtaining the corresponding road congestion coefficient Tci for each road section, a partitioned monitoring management module is established, which uses artificial intelligence technology for analysis and early warning, and completes the standardized allocation of the police force value; performs data signature and encryption operations on each obtained monitoring information, and stores the signed and encrypted monitoring information on the blockchain, and simultaneously verifies the monitoring information through blockchain technology;

[0092] A data output unit, which builds a data rapid sharing model, uses cloud computing technology to complete the sharing of monitoring information and all road congestion coefficients, realizes the integration and docking between each partition, and then introduces the scheduling unit configured in the data rapid sharing model to complete the police force dispatching.

[0093] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those of ordinary skill in the art will recognize that the units and algorithm steps of the examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution.

[0094] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0095] As described above, the above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, which should be covered by the protection scope of the present application.

Claims

1. A blockchain-based smart city monitoring information management method, characterized by: The steps include: Establish a smart city monitoring model, integrate the monitoring information obtained by all monitoring devices in the city, and establish a database composed of various data sets, build corresponding analysis modules, and determine the degree of influence of variables in the data set on the road congestion status in the city road; When the smart city monitoring model is in continuous working state, by calling the road-related data sets in the database, a road load change data set is established and the road congestion coefficient Tci is obtained; The road congestion coefficient Tci is obtained as follows: traffic flow Qt, road capacity Rc and average vehicle speed Vt are obtained, and after dimensionless processing, they are associated to form the road congestion coefficient Tci. The meaning of the parameters is 0.11≤α≤0.98, 0.14≤β≤1.05, and 0.3≤α+β≤1.4, α and β are weights, and their specific values ​​are adjusted and set by the user, and C1 is a constant correction coefficient; On the basis of obtaining the corresponding road congestion coefficient Tci of each road section, a partitioned monitoring and management module is established; In the monitoring management module; First: the monitoring management module under each partition is used to collect the road congestion coefficient Tci in the current partition; Then: artificial intelligence technology is used for analysis. If the road congestion coefficient Tc of the corresponding road section is higher than the threshold, a warning is issued while marking it; if the road congestion coefficient Tc of the corresponding road section is lower than the threshold, no marking is made; Finally: output the congestion coefficient Tci of each road in the current partition; and complete the standardized allocation of police force values; Perform data signing and encryption operations on each piece of acquired monitoring information, store the signed and encrypted monitoring information on the blockchain, and simultaneously verify the monitoring information through blockchain technology; Build a rapid data sharing model, use blockchain technology to share monitoring information and all road congestion coefficients, achieve integration between various partitions, and then introduce the dispatch unit equipped in the rapid data sharing model to complete the police dispatch.

2. According to a blockchain-based smart city monitoring information management method according to claim 1, it is characterized by: All monitoring equipment includes a number of monitoring points located in different areas, which include at least monitoring point A and monitoring point B; wherein, monitoring point A is used to obtain urban road load data and form a corresponding data set; monitoring point B is used to obtain urban weather status data and form a corresponding data set.

3. According to a blockchain-based smart city monitoring information management method according to claim 2, it is characterized by: In each of the analysis modules, the analysis module corresponding to the road congestion status calls the data set obtained by monitoring point A, and after completing the analysis of the road-related data set, outputs the road congestion coefficient Tci. The higher the output corresponding to the road congestion coefficient Tci, the higher the degree of road congestion in the corresponding time period.

4. According to a blockchain-based smart city monitoring information management method according to claim 3, it is characterized by: When the road traffic enters a congested state, monitoring cameras are installed at fixed locations on the road to obtain the number of cars passing through per unit time, which is the traffic flow Qt, and the road capacity Rc. The average vehicle speed Vt per unit time is obtained by the radar speed meter installed at the fixed point.

5. A blockchain-based smart city monitoring information management method according to claim 4, characterized in that: Each road section under each partition corresponds to a road congestion coefficient Tci, and the road congestion coefficient Tci of the corresponding road section is displayed on the display screen in the smart city monitoring model. Each road congestion coefficient Tci belongs to monitoring information. Through the marking module in the smart city monitoring model, the road section with a road congestion coefficient Tci higher than the threshold is marked, and combined with the monitoring management module, the standardized allocation of police force values ​​for the road section is completed; Among them, the threshold is set as: 1; According to the following formula: {(Tci-1)*100}%, the extra time required for a vehicle to travel on the same road section can be obtained.

6. According to a blockchain-based smart city monitoring information management method according to claim 5, it is characterized in that: For the standardized allocation of police force values ​​in the monitoring management module, the judgment is based on the formula: (Tci-1)*10. The resulting value is the number of police forces required for the corresponding road section, and the required number of police forces is the police force value.

7. A blockchain-based smart city monitoring information management method according to claim 6, characterized in that: In the dispatching unit provided in the data rapid sharing model, if the police force value under the corresponding partition is insufficient, the adjacent partition with the largest police force value can be locked, and the police force dispatching of the partition with insufficient police force value can be completed; Among them, when dispatching police force to the adjacent division with the largest police force value, it cannot exceed 30% of the original police force value, and the excess shall be supplemented by the adjacent division with the second largest police force value.

8. A blockchain-based smart city monitoring information management system, characterized by: The system includes a data acquisition unit, which establishes a smart city monitoring model, integrates the monitoring information obtained by all monitoring devices in the city, and establishes a database composed of various data sets, constructs corresponding analysis modules, and determines the degree of influence of variables in the data set on the road congestion status in the city road; The data processing unit, by calling the road-related data sets in the database, establishes a road load change data set and obtains the road congestion coefficient Tci; The road congestion coefficient Tci is obtained as follows: traffic flow Qt, road capacity Rc and average vehicle speed Vt are obtained, and after dimensionless processing, they are associated to form the road congestion coefficient Tci. The meaning of the parameters is 0.11≤α≤0.98, 0.14≤β≤1.05, and 0.3≤α+β≤1.4, α and β are weights, and their specific values ​​are adjusted and set by the user, and C1 is a constant correction coefficient; On the basis of obtaining the corresponding road congestion coefficient Tci of each road section, a partitioned monitoring and management module is established; In the monitoring management module; First: the monitoring management module under each partition is used to collect the road congestion coefficient Tci in the current partition; Then: artificial intelligence technology is used for analysis. If the road congestion coefficient Tc of the corresponding road section is higher than the threshold, a warning is issued while marking it; if the road congestion coefficient Tc of the corresponding road section is lower than the threshold, no marking is made; Finally: output the congestion coefficient Tci of each road in the current partition; and complete the standardized allocation of police force values; Perform data signing and encryption operations on each piece of monitoring information obtained, store the signed and encrypted monitoring information on the blockchain, and simultaneously verify the monitoring information through blockchain technology; The data output unit builds a data rapid sharing model, uses cloud computing technology to share monitoring information and all road congestion coefficients, realizes the integration and docking between various partitions, and then introduces the dispatch unit equipped in the data rapid sharing model to complete the police force dispatch.

Images