CN115529351A - Wisdom city management system based on block chain - Google Patents
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Abstract
The invention provides a smart city management system based on a block chain, which relates to the related technical field of smart cities, and comprises the following components: the equipment management module is used for managing the equipment in the preset city, and comprises the following steps: the system comprises a facility block chain network, a service area network and a service area network, wherein the facility block chain network is used for managing facilities, and the facilities are public facilities of a preset city; a vehicle block chain network for managing vehicles; the resource management module is used for scheduling and managing the resources of the preset city, and comprises: the entity resource block chain network is used for scheduling and managing entity resources; and the virtual resource block chain network is used for scheduling and managing the virtual resources. The method solves the technical problem that in the prior art, the block chain is constructed by managing elements of a specific city or a single dimension, so that the application range is small.
Description
Technical Field
The invention relates to the technical field of smart city correlation, in particular to a smart city management system based on a block chain.
Background
The smart city is a concept provided along with the development of the Internet of things and artificial intelligence, aims to construct the interconnection of everything, and improves the multi-dimensional intelligent and automatic decision-making capability of the city through the multi-data fusion, thereby realizing the efficient and scientific city management. In the development of the smart city, the traditional data island form is broken, but the traditional management mode, namely a centralized management mode, is not broken, the centralized management mode reduces the decision efficiency along with the increase of the data volume, and other non-central units can generate the trust crisis.
Therefore, researchers have proposed to manage all aspects of data of a smart city based on a blockchain, but the drawback is that the blockchain is constructed to manage specific city or single-dimensional elements, and the application range is small.
In the prior art, the block chain is constructed by managing specific city or single-dimension elements, so that the technical problem of small application range exists.
Disclosure of Invention
This application is through providing a wisdom city management system based on block chain, has solved prior art because the construction of block chain all manages to the key element of certain specific city or single dimension, leads to having the less technical problem of application scope.
In view of the above problems, the present application provides a wisdom city management system based on a block chain.
The application provides a wisdom city management system based on block chain, wherein, the system includes: the equipment management module, equipment management module is used for managing the equipment in presetting the city, includes: a facility block chain network for managing facilities, wherein the facilities are public facilities of the preset city; a vehicle blockchain network for managing vehicles; the resource management module is used for scheduling and managing the resources of the preset city, and comprises: the system comprises an entity resource block chain network, a resource block chain network and a resource block chain management module, wherein the entity resource block chain network is used for scheduling and managing entity resources; the virtual resource block chain network is used for scheduling and managing virtual resources.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the intelligent city management system is divided into an equipment management module and a resource management module based on a block chain technology, wherein the equipment management module comprises a facility block chain network and a vehicle block chain network which are respectively used for managing facilities and vehicle traffic in the city; the resource management module comprises an entity resource block chain network and a virtual resource block chain network, and the technical scheme of scheduling and managing the entity resources and the virtual resources respectively can monitor and manage multidimensional city elements through a plurality of block chain networks, so that the technical effects of higher automation degree, wider application range and the like due to the fact that the resource management module is a multi-dimensional management system are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic structural diagram of a smart city management system based on a blockchain according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating a building process of a facility blockchain network of a wisdom city management system based on blockchains according to an embodiment of the present invention;
fig. 3 is a schematic construction flowchart of a vehicle blockchain network of a blockchain-based smart city management system according to an embodiment of the present invention.
Description of reference numerals: the system comprises a device management module 10, a facility block chain network 11, a vehicle block chain network 12, a resource management module 20, a physical resource block chain network 21 and a virtual resource block chain network 22.
Detailed Description
The embodiment of the application provides a wisdom city management system based on block chain, solved prior art because the construction of block chain all manages to the factor of certain specific city or single dimensionality, lead to having the less technical problem of application scope, can monitor and carry out the management to the city factor of multidimension degree through a plurality of block chain networks, realized that degree of automation is higher and owing to be the management system of a plurality of dimensions, application scope more extensive technological effect has reached.
Summary of the application
The management work of the smart city is always full of attention, how to obtain higher automation degree, the decision is more scientific, and the smart city management scheme with wider application range is a problem to be solved urgently. However, in the prior art, because the intelligent management scheme is set for the management of a certain dimensionality of the city, the technical problem that a multi-dimensional relatively comprehensive intelligent city management scheme is lacked exists.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a smart city management system based on a block chain. The intelligent city management system is divided into an equipment management module and a resource management module based on a block chain technology, wherein the equipment management module comprises a facility block chain network and a vehicle block chain network which are respectively used for managing facilities and vehicle traffic in the city; the resource management module comprises an entity resource block chain network and a virtual resource block chain network, and the technical scheme of scheduling and managing the entity resources and the virtual resources is adopted respectively, and multi-dimensional city elements can be monitored and managed through a plurality of block chain networks, so that the technical effects of higher automation degree, multi-dimensional management system and wider application range are achieved.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a smart city management system based on a blockchain, where the system includes:
specifically, the smart city management system based on the block chain according to the embodiment of the present application includes two modules, i.e., an equipment management module 10 and a resource management module 20, and statistics is performed on management information of multiple cities, so that on one hand, equipment management such as construction, operation, and maintenance of the equipment is mainly involved, and on the other hand, scheduling and using of resources are mainly involved, and the equipment according to the embodiment of the present application includes but is not limited to: presetting fixed facilities such as public basic equipment, resident buildings, office buildings and the like in cities; presetting dynamic devices such as vehicles in a city; the resources referred to in the embodiments of the present application include but are not limited to: tangible resources such as water resources, ore resources, energy and the like, intangible resources such as cultural book books, cloud books, electronic books and the like. The city to be managed is monitored in real time through the two modules, and workers are assisted to make management decisions with high efficiency.
The device management module 10, the device management module 10 is configured to manage devices in a preset city, and includes: a facility block chain network 11, where the facility block chain network 11 is used to manage facilities, and the facilities are public facilities of the preset city; a vehicle blockchain network 12, the vehicle blockchain network 12 for managing vehicles;
specifically, the smart city management system based on blockchain according to the embodiment of the present application includes a device management module 10, which is composed of a facility blockchain network 11 and a vehicle blockchain network 12, where the facility blockchain network 11 is used to manage fixed city facilities, such as: fixed facilities such as street lamps, roads, building buildings, cables, etc., and the vehicle block chain network 12 is used to manage vehicle traffic.
The building process of the facility blockchain network 11 is preferably as follows:
further, as shown in fig. 2, the building step of the facility block chain network 11 includes:
s110: performing cluster analysis on the facilities of the preset city to generate a first type facility, a second type facility and an Nth type facility;
s120: generating a first type facility block chain according to the first type facility; generating an Nth type facility block chain according to the Nth type facility;
s130: carrying out grid positioning on the preset city to generate a first grid area, and enabling a second grid area to reach an Mth grid area;
s140: constructing a region management block chain according to the first grid region, the second grid region and the Mth grid region;
s150: and traversing the first type facility block chain until the Nth type facility block chain is matched with the area management block chain, and generating the facility block chain network.
Specifically, the first type facility, the second type facility and the nth type facility are multiple groups of facility data obtained by clustering the facilities according to different facility types, and each group of facility data comprises deployment position information of multiple facilities of the same type; the first type facility block chain refers to the steps that each facility is set as a block chain node according to the position data of each facility, the same type facilities in a group are traversed, a plurality of monitoring nodes are built, and then the first type facility block chain is generated and can be used for carrying out state monitoring on the first type facility and carrying out accurate positioning on state data through the position data. The second type facility block chain and the Nth type block chain are constructed in the same process and function as the first type facility block chain.
The first grid area, the second grid area and the Mth grid area are the M areas determined by dividing the facility management area of the preset city through the positioning information; the area management block chain is a decentralized distributed management decision functional unit which is constructed by setting any one of a first grid area, a second grid area and an Mth grid area as a management block chain node, setting a distributed decision center and deploying different decision models for facility management according to preset urban facilities.
Matching block chain nodes in the first type facility block chains with block chain link points in the area management block chains according to position data to obtain a one-to-many block chain network, wherein the block chain nodes in one area management block chain are used for processing and deciding state information of the block chain nodes in the first type facility block chains; and processing the second type facility block chain and the Nth type block chain in the same mode to obtain a facility block chain network, intelligently managing facilities in a preset city through the facility block chain network, recording decision data of any node into a distributed account book corresponding to all nodes of the corresponding type, wherein the distributed account book is a tool for recording transaction records for the block chain, so that the information backtracking is facilitated, and the transparency of the processing process can be increased.
In the above process for constructing the facility block chain network, the following describes a preferred example of the facility management decision flow of the facility block chain network:
further, the facility block chain network 11 is used for managing facilities, and includes:
s210: acquiring images of facilities corresponding to the facility block chain network through an image acquisition device to generate an image acquisition result;
s220: extracting features of the image acquisition result to generate equipment state feature information, wherein the equipment state feature information corresponds to block chain link points of the facility block chain network one to one;
s230: according to the equipment state characteristic information, performing abnormal state evaluation on the facilities corresponding to the facility block chain network to generate a state evaluation result;
s240: and when the state evaluation result has abnormal node information, sending the state evaluation result to a first manager.
Specifically, the image acquisition device is a device for performing state monitoring deployed according to a facility node in a facility block chain network; the image acquisition result is a real-time image set acquired by the image acquisition device for the facilities corresponding to the facility block chain network; device status characteristic information refers to information characterizing the real-time status of a monitored device, such as, for example: the feature extraction process is preferably carried out through a convolutional neural network model, and is a common means in the field of artificial intelligence, and the feature extraction process of the convolutional neural network is not repeated.
The state evaluation result refers to that whether the state of the equipment is in an abnormal state or not is analyzed by evaluating the characteristic information of the state of the equipment, if the state is abnormal, the corresponding node needs to be identified as an abnormal node, the abnormal information and the node position are sent to a first manager for overall planning, and compared with large-scale artificial monitoring, the decision efficiency is greatly improved by identifying the abnormal state of a node facility. The abnormal state evaluation is preferably as follows:
the method comprises the steps of collecting historical data of normal state features of each node device, wherein the same state feature data at least comprise two groups, taking the historical data of the normal state features of the node devices as a reference data set, adding the reference data set when real-time state feature information is monitored, carrying out random state feature value division, dividing the historical data into a certain class of the reference data set if the real-time state feature information is the normal state features, and inevitably and independently dividing the historical data after multiple divisions if the real-time state feature information is the abnormal state features so as to identify abnormal nodes. Through the abnormal state evaluation, the automatic identification of the node facility abnormality can be realized, and the management decision efficiency is further improved.
The building process of the vehicle blockchain network 12 is preferably as follows:
further, as shown in fig. 3, the step of constructing the vehicle block chain network 12 includes:
s310: performing cluster analysis on the vehicles in the preset city to generate a first type vehicle, a second type vehicle and a vehicle of the L-th type;
s320: generating a first type vehicle block chain according to the first type vehicle; generating an L-th type vehicle block chain according to the L-th type vehicle;
s330: deploying a position sensor for the first type vehicle, the second type vehicle and the L-th type vehicle to generate real-time positioning information;
s340: and dynamically updating the first type vehicle block chain to the L-th type vehicle block chain according to the real-time positioning information to generate the vehicle block chain network.
Specifically, the first type vehicle, the second type vehicle, and up to the lth type vehicle refer to L types of vehicles clustered by vehicles of different usages, as exemplified by: medical vehicles, fire-fighting vehicles, taxi vehicles, public transport vehicles, school buses, private cars, construction vehicles and the like; the first type of vehicle block chain refers to a vehicle block chain constructed by taking each vehicle in each type as a block chain node; the construction mode of the L-type vehicle block chain is the same as that of the first type vehicle block chain; the position sensor is a device for uploading real-time position information of a first type vehicle, a second type vehicle and an L-th type vehicle, preferably a GPS (global positioning system), and the uploaded position information is recorded as real-time positioning information and corresponds to any one vehicle one by one; the vehicle block chain network refers to a monitoring network obtained by dynamically updating the first type vehicle block chain to the L-th type vehicle block chain through real-time positioning information, and through the real-time positioning information, the operations of planning the predictability of vehicles in a preset city, limiting the current and the like can be realized, so that the urban traffic intelligence is improved.
The following sets forth a preferred embodiment of a vehicle blockchain network for managing vehicles:
further, the vehicle block chain network 12 is used for managing vehicles, and includes:
s410: traversing the vehicle block chain network to extract positioning information within a preset time granularity and generating positioning time sequence data, wherein the positioning time sequence data correspond to block chain link points of the vehicle block chain network one to one;
s420: carrying out crowded section prediction on vehicles corresponding to the vehicle block chain network according to the positioning time sequence data to generate a prediction result, wherein the prediction result comprises a crowded position and crowded time;
s430: and sending the information to a second manager according to the crowded position and the crowded time.
Specifically, the preset time granularity refers to a preset duration; the positioning time sequence data refers to the position real-time change data of each vehicle in the vehicle block chain network; the prediction result refers to a result obtained by representing the prediction of a crowded section of a vehicle corresponding to the vehicle block chain network according to the current positioning time sequence data, and comprises a crowded position and crowded time; furthermore, the crowded position and the crowded time are sent to a second manager, namely, the traffic manager can adjust the traffic integrally in time, so that the technical effect of reducing the traffic congestion rate is achieved.
The prediction process is not limited by the following example: preferably, a supervised mode is used for predicting the congested road sections based on the decision tree model, and the training process is preferably as follows: constructing a decision tree model frame according to the road distribution condition; and collecting a plurality of groups of positioning time sequence data historical data as input data, and collecting a plurality of groups of vehicle crowded road sections and crowded time corresponding to the positioning time sequence data historical data as output identification information for evaluating the output accuracy of the decision tree model, wherein when the output accuracy of the decision tree model reaches a preset accuracy rate, the prediction of the crowded road sections can be processed. By monitoring the vehicle position in real time, the intelligent management of urban traffic is realized, and the urban intelligence is improved.
The resource management module 20, where the resource management module 20 is configured to perform scheduling management on resources of the preset city, and includes: an entity resource block chain network 21, where the entity resource block chain 21 network is used to perform scheduling management on entity resources; a virtual resource block chain network 22, where the virtual resource block chain network 22 is used to perform scheduling management on virtual resources.
Specifically, the resource management module 20 is configured to perform scheduling management on resources of a preset city, where the resources include, but are not limited to: tangible resources such as water resources, ore resources, energy and the like, intangible resources such as cultural book books, cloud books, electronic books and the like; the scheduling management of the tangible resources depends on the entity resource block chain network 21 for management; scheduling management of intangible resources relies on the virtual resource block chain network 22 for management. Through the cooperation of the entity resource block chain network 21 and the virtual resource block chain network 22, the overall coordinated scheduling of resources is realized, and the intelligence of resource management is improved.
The preferred embodiment of the construction process of the entity resource block chain network 21 is as follows:
further, the step of constructing the entity resource block chain network 21 includes:
s510: performing cluster analysis on the entity resources of the preset city to generate a first type of entity resources and a second type of entity resources till a P-type entity resource;
s520: traversing the first type entity resource and the second type entity resource until the P type entity resource, and generating resource output position information;
s530: generating a first type entity resource block chain till a P type entity resource according to the resource output position information and in combination with the first type entity resource till the P type entity resource;
s540: and generating the entity resource block chain network according to the first type entity resource block chain till the P type entity resource block chain.
Specifically, the first type entity resource, the second type entity resource and up to the P-th type entity resource refer to different types of entity resources; the resource output position information refers to positioning data of resource output places from the first type entity resource and the second type entity resource to the P-th type entity resource, and any one type entity resource comprises one or more pieces of resource output position information; the first type entity resource block chain refers to a block chain constructed by setting any resource output position in the first type entity resources as a block chain node, and is used for monitoring the first type entity resource state of the corresponding node, wherein the first type entity resource state comprises information such as yield and the like; the construction mode and the function of the P type entity resource block chain are the same as those of the first type entity resource block chain; the physical resource block chain network refers to a block chain network obtained by integrating the first type of physical resource block chain to the P-th type of physical resource block chain according to the position information, and can monitor various types of physical resource states in a preset city. And the entity resource state is quantized, so that reasonable scheduling of resources is facilitated.
Further, the entity resource block chain network 21 is configured to perform scheduling management on entity resources, and includes:
s610: loading entity resource demand information based on big data, wherein the entity resource demand information comprises an entity resource demand type, an entity resource demand time and an entity resource demand position;
s620: and inputting the entity resource demand type, the entity resource demand time and the entity resource demand position into the entity resource block chain network to schedule and manage the resources.
Further, the step S620 of inputting the entity resource demand type, the entity resource demand time, and the entity resource demand position into the entity resource block chain network 21 to perform scheduling management on resources includes:
s621: generating a preset time interval according to the entity resource demand time;
s622: traversing block link points of an x-type entity resource block chain of the resource block chain network according to the entity resource demand type, and generating an entity resource yield list in the preset time interval, wherein the x-type entity resource block chain corresponds to the entity resource demand type;
s623: traversing block link points of the x-type entity resource block chain of the entity resource block chain network according to the entity resource demand position to generate a traffic distance list;
s624: sequencing the block chain link points of the x-type entity resource block chain according to the traffic distance list to generate sequencing information;
s625: and traversing the sequencing information according to the entity resource yield list, generating a resource scheduling scheme, and sending the resource scheduling scheme to a third manager.
Specifically, the entity resource requirement information refers to the resource requirement information uploaded by the requirement resource point, including but not limited to: the entity resource demand type, the entity resource demand time, the entity resource demand position and other information; the preset time interval refers to a resource delivery deadline set according to the entity resource demand time, and the time point of the preset time interval is earlier than the entity resource demand time; the x-type entity resource block chain refers to a resource type management block chain corresponding to the entity resource demand type; the entity resource yield list in the preset time interval refers to yield data of all nodes of the x-th type entity resource block chain in the preset time interval, and the yield data correspond to the x-th type entity resource block chain nodes one to one; the traffic distance list refers to data representing traffic 1 from the transportation of the x-th type resource from each node position of the x-th type entity resource block chain to the entity resource demand position.
Preferably, sequencing all nodes of the x-type entity resource block chain from near to far step by step according to the traffic distance and the entity resource demand position to obtain sequencing information; and allocating resource distribution tasks, namely a resource scheduling scheme, to each node of the x-th type entity resource block chain in sequence according to the entity resource yield list, and sending the resource distribution tasks to a third manager, namely a resource scheduling manager, so that the automatic allocation of resource scheduling is realized, and the intelligence of resource scheduling of the smart city is improved.
Further, the step of constructing the virtual resource block chain network 22 includes:
s710: performing clustering analysis on the virtual resources of the preset city to generate first type virtual resources, second type virtual resources and up to Kth type virtual resources;
s720: traversing the first type virtual resources and the second type virtual resources until the Kth type virtual resources, and generating a plurality of groups of virtual resource storage position lists;
s730: traversing the multiple groups of virtual resource storage position lists, combining the first type of virtual resources and the second type of virtual resources until the Kth type of virtual resources, and generating a first type of virtual resource block chain, and combining the second type of virtual resources until the Kth type of virtual resources;
s740: and integrating the first type of virtual resource block chain, the second type of virtual resource block chain till the Kth type of virtual resource block chain to generate the virtual resource block chain network.
Specifically, the first type of virtual resource, the second type of virtual resource, and up to the kth type of virtual resource refer to K types of virtual resources determined after clustering partitioning of the virtual resources according to the types of the virtual resources, including but not limited to: intangible resources such as cultural book books, cloud books, electronic books and the like are stored in a block chain in a data form, interactive circulation can be performed among all nodes, and if macroscopic control is not performed, the condition that the data volume of a certain node overflows can be caused; the multi-group virtual resource storage location list refers to data representing virtual resource storage locations in the first type of virtual resource, the second type of virtual resource and up to the K-th type of virtual resource, and any one type of virtual resource may be stored in a plurality of locations; the first type virtual resource block chain, the second type virtual resource block chain and up to the Kth type virtual resource block chain refer to: in any type of virtual resource, taking the storage position of the virtual resource as a block chain node, and constructing a plurality of data sets representing different types of virtual resource block chains; and integrating the first type of virtual resource block chain and the second type of virtual resource block chain until the Kth type of virtual resource block chain by taking the storage position as a reference to obtain a virtual resource block chain network, wherein the virtual resource block chain network can be used for any type of virtual resource state of any node: and extracting and managing information such as storage data volume and storage content.
Further, the virtual resource block chain network 22 is configured to perform scheduling management on virtual resources, and includes:
s810: acquiring a virtual resource transferring instruction, wherein the virtual resource transferring instruction comprises a resource transferring path and a resource transferring quantity;
s820: determining a virtual resource transmission starting point and a virtual resource transmission end point according to the resource transferring path;
s830: and scheduling the corresponding virtual resources according to the virtual resource transmission starting point, the virtual resource transmission end point and the resource transferring quantity, and recording the distributed account book of the virtual resource block chain network.
Specifically, the virtual resource scheduling instruction refers to control information for controlling virtual resource scheduling, including a resource scheduling path and a resource scheduling number (data amount); according to the resource scheduling path, a virtual resource transmission starting point and a virtual resource transmission end point can be determined, and the type of the virtual resource can be determined; and scheduling the virtual resources of the corresponding types according to the resource scheduling quantity, and recording through the distributed accounts corresponding to the nodes in the virtual resource block chain network one by one, thereby realizing the scheduling management of the virtual resources.
To sum up, the smart city management system based on the block chain provided by the embodiment of the application has the following technical effects:
1. the intelligent city management system is divided into an equipment management module and a resource management module based on a block chain technology, wherein the equipment management module comprises a facility block chain network and a vehicle block chain network which are respectively used for managing facilities and vehicle traffic in the city; the resource management module comprises an entity resource block chain network and a virtual resource block chain network, and the technical scheme of scheduling and managing the entity resources and the virtual resources respectively can monitor and manage multidimensional city elements through a plurality of block chain networks, so that the technical effects of higher automation degree, wider application range and the like due to the fact that the resource management module is a multi-dimensional management system are achieved.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations may be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (10)
1. A wisdom city management system based on blockchain, the system characterized in that:
the equipment management module, equipment management module is used for managing the equipment in presetting the city, includes:
a facility block chain network for managing facilities, wherein the facilities are public facilities of the preset city;
a vehicle blockchain network for managing vehicles;
the resource management module is used for scheduling and managing the resources of the preset city, and comprises:
the system comprises an entity resource block chain network, a resource block chain network and a resource block chain management system, wherein the entity resource block chain network is used for scheduling and managing entity resources;
the virtual resource block chain network is used for scheduling and managing virtual resources.
2. The system of claim 1, wherein the building of the facility blockchain network comprises:
performing cluster analysis on the facilities of the preset city to generate a first type facility, a second type facility and an Nth type facility;
generating a first type facility block chain according to the first type facility; generating an Nth type facility block chain according to the Nth type facility;
carrying out grid positioning on the preset city to generate a first grid area, and enabling a second grid area to reach an Mth grid area;
constructing a region management block chain according to the first grid region, the second grid region and the Mth grid region;
traversing the first type facility block chain until an Nth type facility block chain is matched with the area management block chain, and generating the facility block chain network.
3. The system of claim 1, wherein the step of constructing the vehicle blockchain network comprises:
performing cluster analysis on the vehicles in the preset city to generate a first type vehicle, a second type vehicle and a vehicle of the L-th type;
generating a first type vehicle block chain according to the first type vehicle; generating an L type vehicle block chain according to the L type vehicle;
deploying a position sensor for the first type vehicle, the second type vehicle and the L-th type vehicle to generate real-time positioning information;
and dynamically updating the first type vehicle block chain to the L-th type vehicle block chain according to the real-time positioning information to generate the vehicle block chain network.
4. The system of claim 1, wherein the facility blockchain network is to manage a facility, comprising:
acquiring images of facilities corresponding to the facility block chain network through an image acquisition device to generate an image acquisition result;
extracting features of the image acquisition result to generate equipment state feature information, wherein the equipment state feature information corresponds to block chain link points of the facility block chain network one to one;
according to the equipment state characteristic information, performing abnormal state evaluation on the facilities corresponding to the facility block chain network to generate a state evaluation result;
and when the state evaluation result has abnormal node information, sending the state evaluation result to a first manager.
5. The system of claim 1, wherein the vehicle blockchain network is to manage vehicles, comprising:
traversing the vehicle block chain network, extracting positioning information within a preset time granularity, and generating positioning time sequence data, wherein the positioning time sequence data correspond to block chain link points of the vehicle block chain network one to one;
predicting a crowded road section of a vehicle corresponding to the vehicle block chain network according to the positioning time sequence data, and generating a prediction result, wherein the prediction result comprises a crowded position and crowded time;
and sending the information to a second manager according to the crowded position and the crowded time.
6. The system of claim 1, wherein the step of constructing the physical resource block chain network comprises:
performing clustering analysis on the entity resources of the preset city to generate a first type of entity resources and a second type of entity resources till a P-type entity resource;
traversing the first type entity resource and the second type entity resource until the P type entity resource, and generating resource output position information;
generating a first type entity resource block chain till a P type entity resource according to the resource output position information and in combination with the first type entity resource till the P type entity resource;
and generating the entity resource block chain network according to the first type entity resource block chain till the P type entity resource block chain.
7. The system of claim 1, wherein the entity resource block chain network is configured for scheduling management of entity resources, comprising:
loading entity resource demand information based on big data, wherein the entity resource demand information comprises an entity resource demand type, an entity resource demand time and an entity resource demand position;
and inputting the entity resource demand type, the entity resource demand time and the entity resource demand position into the entity resource block chain network to schedule and manage the resources.
8. The system of claim 7, wherein the inputting the entity resource demand type, the entity resource demand time, and the entity resource demand location into the entity resource block chain network for scheduling management of resources comprises:
generating a preset time interval according to the entity resource demand time;
traversing block link points of an x-type entity resource block chain of the resource block chain network according to the entity resource demand type, and generating an entity resource yield list in the preset time interval, wherein the x-type entity resource block chain corresponds to the entity resource demand type;
traversing block link points of the x-type entity resource block chain of the entity resource block chain network according to the entity resource demand position, and generating a traffic distance list;
sequencing the block chain link points of the x-type entity resource block chain according to the traffic distance list to generate sequencing information;
traversing the sequencing information according to the entity resource yield list, generating a resource scheduling scheme, and sending the resource scheduling scheme to a third manager.
9. The system of claim 1, wherein the step of constructing the virtual resource block chain network comprises:
performing cluster analysis on the virtual resources of the preset city to generate a first type of virtual resources and a second type of virtual resources till a K type of virtual resources;
traversing the first type virtual resources and the second type virtual resources until the Kth type virtual resources, and generating a plurality of groups of virtual resource storage position lists;
traversing the multiple groups of virtual resource storage position lists, combining the first type virtual resources and the second type virtual resources until the Kth type virtual resources, and generating a first type virtual resource block chain, and a second type virtual resource block chain until the Kth type virtual resource block chain;
and integrating the first type of virtual resource block chain, the second type of virtual resource block chain and the Kth type of virtual resource block chain to generate the virtual resource block chain network.
10. The system of claim 9, wherein the virtual resource block chain network is configured to manage scheduling of virtual resources, comprising:
acquiring a virtual resource transferring instruction, wherein the virtual resource transferring instruction comprises a resource transferring path and a resource transferring number;
determining a virtual resource transmission starting point and a virtual resource transmission end point according to the resource transferring path;
and scheduling the corresponding virtual resources according to the virtual resource transmission starting point, the virtual resource transmission end point and the resource transferring quantity, and recording the distributed account book of the virtual resource block chain network.
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