Urban operation data monitoring system, method and equipment and computer readable medium

Abstract

The embodiment of the invention discloses a city operation data monitoring system, method and equipment and a computer readable medium. According to a specific embodiment of the system, a city operation data uploading node is configured to encrypt city operation data; uploading the encrypted city operation data to a city operation data storage cluster; the city operation data access node is configured to send data request information to the node monitoring cluster; acquiring encrypted city operation data from the city operation data storage cluster; decrypting the encrypted city operation data to obtain city operation data; and carrying out monitoring processing on the obtained urban operation data. According to the embodiment of the invention, the computing resources and time consumed by the urban operation data monitoring system for monitoring the urban operation data can be reduced, the data safety and the stability of the urban operation monitoring system can be improved, and the situation that the urban operation monitoring system has a single-point fault can be reduced.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular to a city operation data monitoring system, method, device, and computer-readable medium. Background Art

[0002] The city operation data monitoring system is a system used to share and monitor city operation data containing a large amount of data that needs to be encrypted (sensitive data). For example, sensitive data can be the identity information of people who violate traffic rules contained in the city operation data. At present, the main method used is to integrate the original CP-ABE (Cipher Policy Attribute-Based Encryption) method into the city operation data monitoring system to realize multi-user and multi-terminal data access control of city operation data, so as to monitor the city operation data or each node (server) directly shares the city operation data to realize the monitoring of the city operation data.

[0003] However, in practice, it is found that when the above method is used to monitor urban operation data, the following technical problems often occur:

[0004] When each node (server) directly shares the city operation data to monitor the city operation data, the pre-processing of the city operation data is not considered, resulting in low data security and a greater risk of data leakage; when the original CP-ABE method is integrated into the city operation data monitoring system, since the original CP-ABE method relies on a trusted third party, the data security is low and when a faulty node (server) occurs in the city operation monitoring system, a single point failure problem is prone to occur.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art. Summary of the invention

[0006] The content of this disclosure is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this disclosure is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0007] Some embodiments of the present disclosure propose a city operation data monitoring system, method, electronic device and computer-readable medium to solve one or more of the technical problems mentioned in the above background technology section.

[0008] In a first aspect, some embodiments of the present disclosure provide a city operation data monitoring system, including a city operation data upload node, a city operation data access node, a node monitoring cluster, and a city operation data storage cluster; the city operation data upload node is configured to encrypt the city operation data to obtain encrypted city operation data; upload the encrypted city operation data to the city operation data storage cluster; the city operation data storage cluster is configured to store the received encrypted city operation data; send the storage address information corresponding to the encrypted city operation data to the city operation data upload node corresponding to the encrypted city operation data; the node monitoring cluster is configured to Registration request information is received, and the user node corresponding to the user registration request information is registered to obtain the user registration information; the user registration information is sent to the user node corresponding to the user registration information, wherein the node monitoring cluster is deployed with the first block chain and the second block chain; the city operation data access node is configured to send the data request information to the node monitoring cluster; according to the secondary encrypted data details information sent by the node monitoring cluster, the encrypted city operation data corresponding to the data request information is obtained from the city operation data storage cluster; the obtained encrypted city operation data is decrypted to obtain the city operation data corresponding to the data request information; and the obtained city operation data is monitored.

[0009] In a second aspect, some embodiments of the present disclosure provide a city operation data monitoring method, which is applied to the above-mentioned city operation data monitoring system, including: preprocessing the city operation data to obtain preprocessed city operation data; combining the preprocessed city operation data to obtain combined city operation data; visually displaying the combined city operation data; determining the warning level information corresponding to the above-mentioned city operation data based on the combined city operation data; in response to determining that the above-mentioned warning level information meets the preset warning conditions, highlighting the warning prompt information, and sending the above-mentioned warning prompt information to the associated terminal device to monitor and process the above-mentioned city operation data.

[0010] In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation method in the above-mentioned second aspect.

[0011] In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method described in any one of the implementations in the second aspect above is implemented.

[0012] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: through the city operation data monitoring system of some embodiments of the present disclosure, the security of data is improved, the occurrence of single point failure problems is reduced, and the time spent on detecting city operation data and the consumed computing resources are further shortened. Specifically, the reasons for the low security of data, the high number of single point failure problems, the long time spent on detecting city operation data and the high computing resources consumed are: when each node (server) directly shares the city operation data to monitor the city operation data, the pre-processing of the city operation data is not considered, resulting in low data security and a high risk of data leakage; when the original CP-ABE method is integrated in the city operation data monitoring system, since the original CP-ABE method relies on a trusted third party, the data security is low and when a node (server) fails in the city operation monitoring system, a single point failure problem is prone to occur. Based on this, the city operation data monitoring system of some embodiments of the present disclosure includes a city operation data upload node, a city operation data access node, a node monitoring cluster, and a city operation data storage cluster; and the above-mentioned city operation data upload node is configured to first encrypt the city operation data to obtain encrypted city operation data. Thus, the encrypted city operation data can be obtained. Then, the encrypted city operation data is uploaded to the above-mentioned city operation data storage cluster. Thus, the encrypted city operation data can be stored. The storage space consumption of the city operation data upload node can be reduced. The above-mentioned city operation data storage cluster is configured to first store the received encrypted city operation data. Thus, the encrypted city operation data can be stored in the city operation data storage cluster. Then, the storage address information corresponding to the above-mentioned encrypted city operation data is sent to the city operation data upload node corresponding to the above-mentioned encrypted city operation data. Thus, the city operation data upload node can obtain the storage address information of the encrypted city operation data. The above-mentioned node monitoring cluster is configured to first, according to the received user registration request information, register the user node corresponding to the above-mentioned user registration information to obtain the user registration information. Thus, the user node can be registered so that the user node can upload or access the city operation data stored in the city operation data storage cluster in the city operation data monitoring system. Then, the user registration information is sent to the user node corresponding to the user registration information, wherein the node monitoring cluster is deployed with the first block chain and the second block chain. Thus, the registered user can obtain the user registration information. The city operation data access node is configured to first send the data request information to the node monitoring cluster. Thus, the city operation data access node can be authenticated by the node monitoring cluster.Then, according to the secondary encrypted data details information sent by the node monitoring cluster, the encrypted city operation data corresponding to the data request information is obtained from the city operation data storage cluster. Thus, the city operation data access node can obtain the requested encrypted city operation data from the city operation data storage cluster. Afterwards, the obtained encrypted city operation data is decrypted to obtain the city operation data corresponding to the data request information. Thus, the decrypted city operation data can be obtained. Finally, the obtained city operation data is monitored and processed. Thus, the city operation data can be monitored and processed, and the risks in the city operation data can be discovered in time. Also because the city operation data monitoring system uses blockchain for decentralization instead of directly relying on a trusted third party, the security of the data is improved and the problem of single point failure is reduced, thereby improving the stability and security of the city operation data monitoring system. Also because the node monitoring cluster included in the city operation data monitoring system represents the alliance node of the blockchain, the dynamic access and exit of the node (server) can be realized, the time and computing resources wasted by the access and exit of the node (server) can be shortened, and the dynamic alliance node used can improve the stability of the city operation data monitoring system. Also, because the city operation data is not shared directly, but after each node is registered and the data is encrypted, the data is shared, which improves the security of the data and reduces the risk of data leakage. As a result, the computing resources and time spent on the city operation data monitoring system can be reduced, the data security and stability of the city operation monitoring system can be improved, and the single point failure of the city operation monitoring system can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0014] Figure 1 is a timing diagram of some embodiments of the city operation data monitoring system according to the present disclosure;

[0015] Figure 2 is a flow chart of some embodiments of the city operation data monitoring method according to the present disclosure;

[0016] Figure 3 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0017] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0018] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0019] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0020] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0021] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0022] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0023] Figure 1 A timing diagram of some embodiments of the city operation data monitoring system according to the present disclosure is shown.

[0024] like Figure 1 As shown, a city operation data monitoring system includes: a city operation data upload node, a city operation data access node, a node monitoring cluster and a city operation data storage cluster. The interaction steps between the city operation data upload node, the city operation data access node, the node monitoring cluster and the city operation data storage cluster may include the following steps:

[0025] Step 101: The node monitoring cluster performs registration processing on the user node corresponding to the user registration request information according to the received user registration request information to obtain user registration information.

[0026] In some embodiments, the node monitoring cluster may register the user node corresponding to the user registration request information according to the received user registration request information to obtain the user registration information. Among them, the city operation data upload node may represent the server that uploads the city operation data. The city operation data access node may represent the server that obtains the city operation data. The node monitoring cluster may represent the alliance node of the blockchain. The node monitoring cluster may be each server that monitors the city operation data upload node and the city operation data access node. The city operation data monitoring system may include a first blockchain for storing user identification information and a user attribute information set and a second blockchain for storing city operation data and encrypted ciphertext information. Both the first blockchain and the second blockchain may be alliance chains. The user attribute information in the user attribute information set may represent the attributes of the user node corresponding to the user identification information. For example, the user attribute information may be: "Attribute name: identifier (DID); identifier (DID) is: 123456xxx". The node monitoring cluster is deployed with a smart contract corresponding to the first blockchain and a smart contract corresponding to the second blockchain. The city operation data may include various data information of the target city. The target city may be any city. The data information in the above-mentioned data information may represent transportation data, emergency data, population employment data or industrial data. For example, the city operation data may be: "Transportation data: the vehicle flow on x month x day in the target city is x vehicles, emergency data: a fire occurred on x month x day in the target city, population employment data: the population employment rate in 2023 is 70% and industrial data: x pieces of electronic products produced in the target city in x month". The above-mentioned city operation data storage cluster may represent each server used to store city operation data. The above-mentioned user registration request information may represent a statement in which a user node requests to generate user registration information. The above-mentioned user registration request information may include user identification information. The above-mentioned user identification information may represent an identifier (DID) of a user node. For example, the user registration request information may be: "A user node with an identifier of xx requests to generate user registration information". The above-mentioned user node may be any city operation data upload node or any city operation data access node.

[0027] In some optional implementations of some embodiments, the node monitoring cluster may be further configured to perform the following steps before performing registration processing on the user node corresponding to the user registration request information according to the received user registration request information and obtaining the user registration information:

[0028] The first step is to generate a target value set according to a preset value. The preset value can represent a generator of a cyclic group. Here, there is no limitation on the specific setting of the preset value. For example, the preset value may be b. The target value set may represent a cyclic group with order a. The a may be a prime number. The target data set may include a elements. Here, there is no specific limitation on the value of a. In practice, for each preset order in the preset order set, the node monitoring cluster may determine the preset order power of the preset value as the target value, and obtain each target value as a target value set.

[0029] In the second step, two target values ​​are selected from the target value set as the first encryption parameter and the second encryption parameter. In practice, the node monitoring cluster can select any two different target values ​​from the target value set as the first encryption parameter and the second encryption parameter.

[0030] The third step is to encrypt the preset value according to the second encryption parameter to obtain a second encrypted preset value. The second encrypted preset value can represent the preset value after encryption. In practice, the node monitoring cluster can determine the preset value raised to the power of the second encryption parameter as the second encrypted preset value.

[0031] The fourth step is to determine the first encryption parameter and the second encryption preset value as the main encryption information. The main encryption information can represent the master key of the corresponding city operation data monitoring system.

[0032] In the fifth step, the preset value is encrypted according to the first encryption parameter to obtain the first encrypted preset value. In practice, the node monitoring cluster may determine the preset value raised to the power of the first encryption parameter as the first encrypted preset value.

[0033] Step 6: Generate a constraint value according to the preset value. The constraint value may represent the preset value after bilinear mapping. In practice, the node monitoring cluster may perform bilinear mapping on the preset value through a bilinear mapping function to obtain a constraint value.

[0034] In the seventh step, the constraint value is encrypted according to the second encryption parameter to obtain an encrypted constraint value. The encrypted constraint value may represent the encrypted constraint value. In practice, the node monitoring cluster may determine the constraint value raised to the power of the second encryption parameter as the encrypted constraint value.

[0035] In the eighth step, the target value set, the preset value, the first encrypted preset value and the encrypted constraint value are determined as encrypted public key information. The encrypted public key information may represent a public key corresponding to the urban operation data monitoring system.

[0036] However, it is found in practice that in the process of adopting technical solutions to solve the above-mentioned technical problem 1, the following technical problems often occur: When the city operation data is directly shared through the commonly used nodes (servers), the following technical problems often exist: No consideration is given to registering each node (server), and any node can participate in data sharing, which makes the city operation data easy to be accessed, intercepted or leaked by unauthorized third parties, resulting in low security and low reliability of city operation data. In response to these problems, the conventional solution is generally to directly grant the designated nodes (servers) the authority to participate in the monitoring of city operation data. The inventors took into account the shortcomings of directly granting the designated nodes (servers) the authority to participate in the monitoring of city operation data, and combined with the advantages of the inventor's company in data security sharing, we decided to adopt the following solution:

[0037] In some optional implementations of some embodiments, the node monitoring cluster may be further configured to perform the following steps to register the user node corresponding to the user registration request information according to the received user registration request information to obtain user registration information:

[0038] The first step is to verify the user registration request information to obtain verification result information. The verification result information can represent the result of successful verification of the user registration request information or the result of failed verification. In practice, the node monitoring cluster can verify the user identification information included in the user registration request information through the DID system to obtain verification result information.

[0039] The second step is to determine, in response to determining that the verification result information indicates that the verification is successful, a user attribute information set, user public encryption information and user private encryption information corresponding to the user identification information included in the user registration request information are determined. Among them, the user public encryption information can represent the public key of the user node corresponding to the user identification information. The user private encryption information can represent the private key of the user node corresponding to the user identification information. In practice, first, the node monitoring cluster can determine the preset user attribute information group whose identifier (DID) included in the preset user attribute information group set is the same as the user identification information included in the user registration request information as the user attribute information set corresponding to the user registration request information. Then, the node monitoring cluster can determine the preset public-private key pair whose identifier (DID) in the preset public-private key pair set is the same as the user identification information included in the user registration request information as the user public encryption information and user private encryption information corresponding to the user registration request information. Among them, the preset public-private key pair in the preset public-private key pair set can represent the public key and private key of the user node.

[0040] The third step is to select a target value from the above target value set as the third encryption parameter.

[0041] The fourth step is to generate random encryption information based on the first encryption parameter, the second encryption parameter, the third encryption parameter and the preset value. The random encryption information can represent the random element in the attribute private key. In practice, first, the node monitoring cluster can determine the sum of the second encryption parameter and the third encryption parameter as the first value. Then, the ratio of the first value to the first encryption parameter is determined as the second value. After that, the second value power of the preset value is determined as the random encryption information.

[0042] The fifth step is to encrypt the user attribute information set according to the target value set to obtain an encrypted attribute information set. The encrypted attribute information set can represent the encrypted user attribute information set. In practice, for the user attribute information in the user attribute information set, first, the node monitoring cluster can randomly select a target value from the target value set as a random value. Then, the random number power of the preset value is determined as the encrypted attribute information. Finally, each encrypted attribute information obtained is determined as an encrypted attribute information set.

[0043] Step 6: Determine the above random encrypted information, the above encrypted attribute information set, the user's public encrypted information and the user's private encrypted information as the user registration information.

[0044] The above technical solution, as an inventive point of an embodiment of the present disclosure, solves the technical problem of "low security and low reliability of urban operation data". The factors that lead to low security and low reliability of urban operation data are often as follows: registration of each node (server) is not considered, and any node can participate in data sharing, causing the urban operation data to be easily accessed, intercepted or leaked by unauthorized third parties. If the above factors are solved, the effect of improving the security and reliability of urban operation data can be achieved. In order to achieve this effect, when the present disclosure monitors the urban operation data, first, the user registration request information sent by the received node is verified. Then, the random encryption information of the corresponding node, the above encryption attribute information set, the user public encryption information and the user private encryption information are generated to obtain the user registration information. Therefore, when monitoring the urban operation data, the registration of the node (server) can be realized, so that the security and reliability of the urban operation data can be improved when monitoring the urban operation data.

[0045] Step 102: The node monitoring cluster sends the user registration information to the user node corresponding to the user registration request information.

[0046] In some embodiments, the node monitoring cluster may send the user registration information to the user node corresponding to the user registration information. In practice, the node monitoring cluster may send the user registration information to the user node corresponding to the user identification information included in the user registration request information.

[0047] Optionally, after step 102, the node monitoring cluster may upload the user identification information and the user attribute information set included in the user registration request information to the first blockchain.

[0048] Step 103: The city operation data uploading node encrypts the city operation data to obtain encrypted city operation data.

[0049] In some embodiments, the city operation data upload node may encrypt the city operation data to obtain encrypted city operation data. The city operation data may be the city operation data received by the city operation data upload node. The encrypted city operation data may represent the encrypted city operation data. In practice, the city operation data upload node may encrypt the city operation data according to preset encryption information through an encryption algorithm to obtain encrypted city operation data. The preset encryption information may represent a file encryption key. For example, the encryption algorithm may be an AES algorithm.

[0050] Step 104: the city operation data upload node uploads the encrypted city operation data to the above-mentioned city operation data storage cluster.

[0051] In some embodiments, the city operation data upload node may upload the encrypted city operation data to the city operation data storage cluster. In practice, the city operation data upload node may upload the encrypted city operation data to the city operation data storage cluster according to the IP address of the city operation data storage cluster.

[0052] Step 105: The city operation data storage cluster stores the received encrypted city operation data.

[0053] In some embodiments, the city operation data storage cluster may store the received encrypted city operation data. In practice, first, the city operation data storage cluster may allocate storage space for the received encrypted city operation data. Then, the received encrypted city operation data may be stored in the storage space. Afterwards, the storage address corresponding to the storage space may be determined as the storage address information corresponding to the received encrypted city operation data.

[0054] Step 106 , the city operation data storage cluster sends the storage address information corresponding to the encrypted city operation data to the city operation data upload node corresponding to the encrypted city operation data.

[0055] In some embodiments, the city operation data storage cluster may send storage address information corresponding to the encrypted city operation data to a city operation data upload node corresponding to the encrypted city operation data.

[0056] Optionally, after step 106, the city operation data uploading node may be further configured to perform the following steps:

[0057] The first step is to encrypt the preset encrypted information to obtain encrypted ciphertext information. The encrypted ciphertext information may represent the ciphertext of the preset encrypted information. In practice, the city operation data upload node may encrypt the preset encrypted information through an encryption algorithm to obtain encrypted ciphertext information. For example, the encryption algorithm may be an attribute-based encryption algorithm.

[0058] The second step is to extract keywords from the encrypted city operation data to obtain a keyword set. The keywords in the keyword set can represent words in the encrypted city operation data. In practice, the city operation data uploading node can extract keywords from the encrypted city operation data through the TF-IDF keyword extraction algorithm to obtain a keyword set corresponding to the encrypted city operation data.

[0059] The third step is to perform hash processing on the encrypted city operation data to obtain encrypted data hash information. The encrypted data hash information can represent the encrypted city operation data after hash processing. In practice, the city operation data upload node can perform hash processing on the encrypted city operation data through a hash algorithm to obtain encrypted data hash information.

[0060] The fourth step is to determine the storage address information corresponding to the encrypted city operation data, the keyword set, the encrypted data hash information and the encrypted ciphertext information sent by the city operation data storage cluster as the encrypted data details information corresponding to the city operation data. The storage address information can represent the storage address of the city operation data.

[0061] Step 5: Sign the encrypted data details to obtain signature information. In practice, the city operation data upload node can sign the encrypted data details through a signature algorithm to obtain signature information. For example, the signature algorithm can be an RSA signature algorithm.

[0062] Step 6: Send the encrypted data details and signature information to the node monitoring cluster.

[0063] Optionally, after step 106, the city operation data uploading node may also upload the city operation data and encrypted ciphertext information to the second blockchain.

[0064] In some optional implementations of some embodiments, after the city operation data upload node sends the encrypted data details information and the signature information to the node monitoring cluster, the node monitoring cluster may be further configured to perform the following steps:

[0065] The first step is to verify the received signature information in response to receiving the encrypted data details information and signature information sent by the above-mentioned city operation data upload node, and obtain signature verification result information. Among them, the above-mentioned signature verification result information can represent the verification result of the signature information. The above-mentioned signature verification result information can represent the verification passed or failed. In practice, the above-mentioned node monitoring cluster can verify the received signature information through the RSA signature mechanism to obtain the signature verification result information.

[0066] In the second step, in response to determining that the signature verification result information indicates that the verification has passed, the received encrypted data details information is stored and processed. In practice, the node monitoring cluster may store the received encrypted data details information in a database storing encrypted data details information.

[0067] Step 107: The city operation data access node sends the data request information to the above-mentioned node monitoring cluster.

[0068] In some embodiments, the city operation data access node may send data request information to the node monitoring cluster. The data request information may include node identification information and a set of requested data keywords. The set of requested data keywords may represent various keywords related to the requested data. For example, the set of data keywords may represent "traffic, fire, employment".

[0069] Step 108: The city operation data access node obtains the encrypted city operation data corresponding to the data request information from the city operation data storage cluster according to the secondary encrypted data details information sent by the node monitoring cluster.

[0070] In some embodiments, the city operation data access node may obtain the encrypted city operation data corresponding to the data request information from the city operation data storage cluster according to the secondary encrypted data detail information sent by the node monitoring cluster.

[0071] In some optional implementations of some embodiments, before the city operation data access node obtains the encrypted city operation data corresponding to the data request information from the city operation data storage cluster according to the secondary encrypted data detail information sent by the node monitoring cluster, the node monitoring cluster may be further configured to perform the following steps:

[0072] The first step is, in response to receiving the data request information sent by the above-mentioned city operation data access node, performing registration verification processing on the above-mentioned city operation data access node to obtain registration verification result information. Among them, the above-mentioned registration verification result information can represent whether the verification of the city operation data access node has passed. In practice, first, the above-mentioned node monitoring cluster can determine whether the user node corresponding to the above-mentioned city operation data access node has been registered through the identifier of the above-mentioned city operation data access node. Then, in response to determining that the user node corresponding to the above-mentioned city operation data access node has been registered, the verification is determined to be passed as the registration verification result information corresponding to the above-mentioned city operation data access node. Finally, in response to determining that the user node corresponding to the above-mentioned city operation data access node is not registered, the verification failure is determined as the registration verification result information corresponding to the above-mentioned city operation data access node.

[0073] In the second step, in response to determining that the registration verification result information indicates that the verification is passed, the encrypted data detail information corresponding to the request data keyword set included in the data request information is obtained according to the node identification information included in the data request information. In practice, the node monitoring cluster can obtain the encrypted data detail information of each keyword in the request data keyword set included in the keyword set from a database storing the encrypted data detail information.

[0074] The third step is to obtain the user's public encrypted information corresponding to the above-mentioned city operation data access node.

[0075] In the fourth step, according to the user's public encryption information corresponding to the above-mentioned city operation data access node, the obtained encrypted data details information is encrypted to obtain the secondary encrypted data details information. Among them, the above-mentioned secondary encrypted data details information can represent the encrypted data details information after encryption. In practice, the above-mentioned execution entity can encrypt the obtained encrypted data details information through an encryption algorithm to obtain the secondary encrypted data details information. For example, the encryption algorithm can be an AES algorithm.

[0076] The fifth step is to send the obtained secondary encrypted data details to the above-mentioned city operation data access node.

[0077] In some optional implementations of some embodiments, the city operation data access node may be further configured to perform the following steps to obtain the encrypted city operation data corresponding to the data request information from the city operation data storage cluster according to the secondary encrypted data detail information sent by the node monitoring cluster:

[0078] In the first step, the secondary encrypted data details are decrypted according to the received user private encryption information to obtain the encrypted data details corresponding to the data request information. In practice, the city operation data access node can decrypt the secondary encrypted data details by an encryption algorithm to obtain the encrypted data details corresponding to the data request information. For example, the encryption algorithm can be an RSA algorithm.

[0079] The second step is to obtain the encrypted city operation data corresponding to the storage address information from the city operation data storage cluster according to the storage address information included in the encrypted data details information corresponding to the data request information.

[0080] Step 109: the city operation data access node decrypts the acquired encrypted city operation data to obtain the city operation data corresponding to the above data request information.

[0081] In some embodiments, the city operation data access node may decrypt the encrypted city operation data obtained to obtain the city operation data corresponding to the data request information. In practice, the city operation data access node may decrypt the encrypted ciphertext information included in the encrypted data details information through the user private encryption information, and then obtain the encrypted ciphertext information after decryption, and then use the encryption algorithm to decrypt the encrypted city operation data obtained according to the encrypted ciphertext information after decryption, and obtain the city operation data corresponding to the data request information. For example, the encryption algorithm may be the AES algorithm.

[0082] Step 110: The city operation data access node monitors and processes the obtained city operation data.

[0083] In some embodiments, the above-mentioned city operation data access node can monitor and process the obtained city operation data. In practice, first, for each data information in the above-mentioned city operation data, first, the above-mentioned execution subject can input the above-mentioned data information into a pre-trained early warning information generation model to obtain early warning information for the above-mentioned data information. In this way, each early warning information corresponding to the above-mentioned city operation data can be obtained. Among them, the early warning information in the above-mentioned early warning information can characterize the early warning level of the data information. For example, the early warning information can be: "Level 1 Early Warning". The above-mentioned early warning information generation model can be a model that takes the data information in the city operation data as input and the early warning information corresponding to the data information as output. For example, the early warning information generation model can be a decision tree model. Then, in response to determining that the obtained early warning information meets the preset early warning condition, the obtained early warning information is displayed. Among them, the preset early warning condition can be that the early warning level represented by the early warning information is a level 1 early warning, a level 2 early warning or a level 3 early warning.

[0084] It should be noted that the specific implementation method of the city operation data access node to monitor and process the obtained city operation data can also refer to Figure 2 An embodiment of the urban operation data monitoring method described in .

[0085] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: through the city operation data monitoring system of some embodiments of the present disclosure, the security of data is improved, the occurrence of single point failure problems is reduced, and the time spent on detecting city operation data and the consumed computing resources are further shortened. Specifically, the reasons for the low security of data, the high number of single point failure problems, the long time spent on detecting city operation data and the high computing resources consumed are: when each node (server) directly shares the city operation data to monitor the city operation data, the pre-processing of the city operation data is not considered, resulting in low data security and a high risk of data leakage; when the original CP-ABE method is integrated in the city operation data monitoring system, since the original CP-ABE method relies on a trusted third party, the data security is low and when a node (server) fails in the city operation monitoring system, a single point failure problem is prone to occur. Based on this, the city operation data monitoring system of some embodiments of the present disclosure includes a city operation data upload node, a city operation data access node, a node monitoring cluster, and a city operation data storage cluster; and the above-mentioned city operation data upload node is configured to first encrypt the city operation data to obtain encrypted city operation data. Thus, the encrypted city operation data can be obtained. Then, the encrypted city operation data is uploaded to the above-mentioned city operation data storage cluster. Thus, the encrypted city operation data can be stored. The storage space consumption of the city operation data upload node can be reduced. The above-mentioned city operation data storage cluster is configured to first store the received encrypted city operation data. Thus, the encrypted city operation data can be stored in the city operation data storage cluster. Then, the storage address information corresponding to the above-mentioned encrypted city operation data is sent to the city operation data upload node corresponding to the above-mentioned encrypted city operation data. Thus, the city operation data upload node can obtain the storage address information of the encrypted city operation data. The above-mentioned node monitoring cluster is configured to first, according to the received user registration request information, register the user node corresponding to the above-mentioned user registration information to obtain the user registration information. Thus, the user node can be registered so that the user node can upload or access the city operation data stored in the city operation data storage cluster in the city operation data monitoring system. Then, the user registration information is sent to the user node corresponding to the user registration information, wherein the node monitoring cluster is deployed with the first block chain and the second block chain. Thus, the registered user can obtain the user registration information. The city operation data access node is configured to first send the data request information to the node monitoring cluster. Thus, the city operation data access node can be authenticated by the node monitoring cluster.Then, according to the secondary encrypted data details information sent by the node monitoring cluster, the encrypted city operation data corresponding to the data request information is obtained from the city operation data storage cluster. Thus, the city operation data access node can obtain the requested encrypted city operation data from the city operation data storage cluster. Afterwards, the obtained encrypted city operation data is decrypted to obtain the city operation data corresponding to the data request information. Thus, the decrypted city operation data can be obtained. Finally, the obtained city operation data is monitored and processed. Thus, the city operation data can be monitored and processed, and the risks in the city operation data can be discovered in time. Also because the city operation data monitoring system uses blockchain for decentralization instead of directly relying on a trusted third party, the security of the data is improved and the problem of single point failure is reduced, thereby improving the stability and security of the city operation data monitoring system. Also because the node monitoring cluster included in the city operation data monitoring system represents the alliance node of the blockchain, the dynamic access and exit of the node (server) can be realized, the time and computing resources wasted by the access and exit of the node (server) can be shortened, and the dynamic alliance node used can improve the stability of the city operation data monitoring system. Also, because the city operation data is not shared directly, but after each node is registered and the data is encrypted, the data is shared, which improves the security of the data and reduces the risk of data leakage. As a result, the computing resources and time spent on the city operation data monitoring system can be reduced, the data security and stability of the city operation monitoring system can be improved, and the single point failure of the city operation monitoring system can be reduced.

[0086] Reference below Figure 2 , shows a process 200 of some embodiments of the city operation data monitoring method according to the present disclosure. The city operation data monitoring method comprises the following steps:

[0087] Step 201 , preprocessing the city operation data to obtain preprocessed city operation data.

[0088] In some embodiments, the execution subject of the city operation data monitoring method (such as the city operation data access node) can pre-process the city operation data to obtain the pre-processed city operation data. Figure 1 The urban operation data monitoring system described is obtained.

[0089] However, it is found in practice that in the process of adopting technical solutions to solve the above technical problem 1, the following technical problems are often accompanied:

[0090] When the city operation data is directly monitored by the commonly used method, the following technical problems often occur: the city operation data is directly monitored and processed, the city operation data contains redundant and erroneous data and the city operation data is not pre-processed, resulting in more computing resources consumed for monitoring the redundant and erroneous data, and a longer time spent on monitoring the city operation data. In response to these problems, the conventional solution is generally to only delete the duplicate data information in the city operation data. The inventors took into account the shortcomings of only deleting duplicate data information in the city operation data, and combined with the data processing advantages of the inventor's company, we decided to adopt the following solution:

[0091] In some optional implementations of some embodiments, the execution subject of the city operation data monitoring method may pre-process the city operation data through the following steps to obtain the pre-processed city operation data:

[0092] The first step is to determine whether there is data information that meets the preset missing data condition in the above-mentioned city operation data. The above-mentioned city operation data may include various data information. The above-mentioned preset missing data condition may be that there are missing values ​​in the data information. In practice, the above-mentioned execution subject may determine whether there is data information that meets the preset abnormal data condition in the above-mentioned city operation data through the isna() function in Pandas.

[0093] In the second step, in response to determining that data information that meets the preset missing data condition exists in the city operation data, the data information that meets the preset missing data condition in the city operation data is determined as target data information.

[0094] The third step is to fill missing values ​​in the target data information to obtain filled city operation data as the city operation data. In practice, the execution subject may fill missing values ​​in the target data information by a special value filling method to obtain filled city operation data as the city operation data. For example, the special value may be "N / A".

[0095] The fourth step is to normalize the above urban operation data to obtain normalized urban operation data. In practice, the above execution entity can normalize the above urban operation data by using the maximum and minimum normalization method to obtain normalized urban operation data.

[0096] The fifth step is to determine whether the density information of the normalized urban operation data meets the preset density accessibility condition. The preset density accessibility condition may be that the density information is accessible. In practice, the execution subject may determine whether the density information of the normalized urban operation data meets the preset density accessibility condition through the DBSCAN algorithm.

[0097] In step 6, in response to determining that the density information of the normalized urban operation data meets the preset density accessibility condition, an extended cluster corresponding to the normalized density information is generated according to the normalized density information. In practice, the execution subject may generate an extended cluster corresponding to the normalized density information according to the normalized density information through a DBSCAN algorithm.

[0098] Step 7: Cluster the normalized density information according to the expanded clusters. In practice, the execution subject may cluster the normalized density information using a DBSCAN algorithm.

[0099] In the eighth step, according to the clustering information, data in the city operation data that meets the first preset abnormal data condition is cleaned to obtain cleaned city operation data. The first preset abnormal data condition may be that the data type is a dispersed type. In practice, the execution subject may use the DBSCAN algorithm to clean the data in the city operation data that meets the first preset abnormal data condition to obtain cleaned city operation data.

[0100] The above technical solution, as an inventive point of an embodiment of the present disclosure, solves the technical problem: "more computing resources are consumed for monitoring redundant and erroneous data, and a long time is consumed for monitoring urban operation data". The factors that lead to more computing resources being consumed for monitoring redundant and erroneous data, and a long time is consumed for monitoring urban operation data are often as follows: directly monitoring and processing urban operation data, urban operation data containing redundant and erroneous data, and no preprocessing of urban operation data. If the above factors are solved, the effect of reducing the computing resources consumed for monitoring redundant and erroneous data and shortening the time consumed for monitoring urban operation data can be achieved. In order to achieve this effect, when monitoring urban operation data, the present disclosure first fills missing values ​​in urban operation data, and then performs data cleaning, thereby reducing redundant and erroneous data in urban operation data, thereby achieving the effect of reducing the computing resources consumed for monitoring redundant and erroneous data and shortening the time consumed for monitoring urban operation data.

[0101] Step 202, combining the pre-processed city operation data to obtain combined city operation data.

[0102] In some embodiments, the above-mentioned execution subject can perform combination processing on the pre-processed urban operation data to obtain the combined urban operation data. In practice, first, the above-mentioned execution subject can input each data information included in the pre-processed urban operation data into the above-mentioned warning information generation model to obtain the warning information corresponding to the above-mentioned data information. Then, the data information that meets the preset same conditions in the above-mentioned data information is determined as a data information group to obtain each data information group. Among them, the above-mentioned preset same body condition can be that the warning information corresponding to each data information is the same. Afterwards, the obtained data information groups are determined as the combined urban operation data.

[0103] Step 203: Visualize and display the combined city operation data.

[0104] In some embodiments, the above-mentioned execution subject can perform visual display processing on the combined processed city operation data. In practice, for each data information group in the above-mentioned city operation data, first, the above-mentioned execution subject can determine the warning information corresponding to the above-mentioned data information group. Then, the preset display area corresponding to the above-mentioned warning information can be determined from the preset display area set. Thus, the preset display area corresponding to each data information group in the above-mentioned city operation data can be obtained. Among them, the preset display area in the above-mentioned preset display area set can characterize the correspondence between the preset display area and the warning information. Finally, each data information in the above-mentioned city operation data can be displayed to the corresponding preset display area.

[0105] Step 204: Determine the warning level information corresponding to the city operation data based on the combined city operation data.

[0106] In some embodiments, the execution subject may determine the target warning level information corresponding to the city operation data based on the combined processed city operation data. The target warning level information may represent the warning level corresponding to the city operation data. In practice, first, the execution subject may determine the number of warning information representing the first-level warning in each warning information corresponding to the city operation data. Then, in response to determining that the number is greater than a preset number, the first-level warning is determined as the target warning level information corresponding to the city operation data. Here, no specific limitation is made to the value of the preset number.

[0107] Step 205, in response to determining that the warning level information meets the preset warning condition, the warning prompt information is highlighted and sent to the associated terminal device to monitor and process the city operation data.

[0108] In some embodiments, in response to determining that the above-mentioned warning level information meets the preset warning conditions, the above-mentioned execution entity may highlight the warning prompt information, and send the above-mentioned warning prompt information to the associated terminal device to monitor and process the above-mentioned city operation data. Among them, the above-mentioned preset warning condition may be that the above-mentioned warning level information is greater than the preset warning level. Here, there is no limitation on the specific setting of the above-mentioned preset warning level. The above-mentioned terminal device may be a mobile phone, computer or other device. In practice, first, the above-mentioned execution entity may highlight the warning prompt information in the form of a pop-up window or flashing. Then, the above-mentioned warning prompt information may be sent to the associated terminal device in the form of a text message or email.

[0109] The above-mentioned embodiments of the present disclosure have the following beneficial effects: through the urban operation data monitoring method of some embodiments of the present disclosure, the security of data is improved, the occurrence of single point failure problems is reduced, and the time and computing resources consumed for detecting urban operation data are further reduced. Specifically, the reasons for the low security of data, the high occurrence of single point failure problems, the long time and computing resources consumed for detecting urban operation data are: only the data with risks in the urban operation data are displayed, resulting in low visibility of the warning information prompt, resulting in poor timeliness of discovering the warning information; directly monitoring and processing the urban operation data without considering preprocessing the urban operation data, resulting in a long time and more computing resources consumed for monitoring the urban operation data. Based on this, the urban operation data monitoring method of some embodiments of the present disclosure, first, preprocesses the urban operation data to obtain the preprocessed urban operation data. In this way, redundant and error data in the urban operation data can be reduced. Then, the preprocessed urban operation data is combined and processed to obtain the combined processed urban operation data. In this way, data information of the same risk can be combined. Afterwards, the combined processed city operation data is visualized and displayed. Thus, risky data information can be displayed. Secondly, according to the combined processed city operation data, the warning level information corresponding to the above city operation data is determined. Thus, the warning level of the corresponding city operation data can be obtained. Finally, in response to determining that the above warning level information meets the preset warning conditions, the warning prompt information is highlighted, and the above warning prompt information is sent to the associated terminal device to monitor and process the above city operation data. Thus, the timeliness of the city operation data and retrograde warning can be improved. Also, it is not to directly monitor the city operation data and directly display the risky data information, but to pre-process the city operation data, monitor it after pre-processing, and combine each data information and monitor it by highlighting the warning information, which improves the timeliness of users discovering the warning information and reduces the time and computing resources consumed by monitoring the city operation data.

[0110] Reference below Figure 3 , which shows a schematic structural diagram of an electronic device (eg, a computing device) 300 suitable for implementing some embodiments of the present disclosure. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0111] like Figure 3As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0112] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0113] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. When the computer program is executed by the processing device 301, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0114] It should be noted that the computer-readable medium recorded in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0115] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0116] The computer-readable medium may be included in the electronic device; or it may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: pre-processes the city operation data to obtain pre-processed city operation data; combines the pre-processed city operation data to obtain combined city operation data; performs visual display processing on the combined city operation data; determines the warning level information corresponding to the city operation data according to the combined city operation data; in response to determining that the warning level information meets the preset warning condition, highlights the warning prompt information, and sends the warning prompt information to the associated terminal device to monitor and process the city operation data.

[0117] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0118] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0119] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0120] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A city operation data monitoring system, comprising a city operation data upload node, a city operation data access node, a node monitoring cluster, and a city operation data storage cluster; The city operation data uploading node is configured to encrypt the city operation data to obtain encrypted city operation data; and upload the encrypted city operation data to the city operation data storage cluster; The city operation data storage cluster is configured to store the received encrypted city operation data; Sending storage address information corresponding to the encrypted city operation data to a city operation data uploading node corresponding to the encrypted city operation data; The node monitoring cluster is configured to perform registration processing on the user node corresponding to the user registration request information according to the received user registration request information to obtain user registration information; and send the user registration information to the user node corresponding to the user registration information, wherein the node monitoring cluster is deployed with a first blockchain and a second blockchain; The city operation data access node is configured to send data request information to the node monitoring cluster; According to the secondary encrypted data details information sent by the node monitoring cluster, the encrypted city operation data corresponding to the data request information is obtained from the city operation data storage cluster; the obtained encrypted city operation data is decrypted to obtain the city operation data corresponding to the data request information; and the obtained city operation data is monitored.

2. The urban operation data monitoring system according to claim 1, wherein: The node monitoring cluster is further configured to: Generate a target value set according to the preset value; Selecting two target values ​​from the target value set as a first encryption parameter and a second encryption parameter; Encrypting the preset value according to the second encryption parameter to obtain a second encrypted preset value; Determine the first encryption parameter and the second encryption preset value as main encryption information; Encrypting the preset value according to the first encryption parameter to obtain a first encrypted preset value; Generate a constraint value according to the preset value and preset constraint information; encrypting the constraint value according to the second encryption parameter to obtain an encrypted constraint value; The target value set, the preset value, the first encrypted preset value and the encrypted constraint value are determined as encrypted public key information.

3. The urban operation data monitoring system according to claim 1, wherein: The city operation data uploading node is further configured to: Encrypting the preset encrypted information to obtain encrypted ciphertext information; Extracting keywords from the encrypted city operation data to obtain a keyword set; Performing hash processing on the encrypted city operation data to obtain encrypted data hash information; Determine the storage address information corresponding to the encrypted city operation data, the keyword set, the encrypted data hash information and the encrypted ciphertext information sent by the city operation data storage cluster as the encrypted data detail information corresponding to the city operation data; Performing a signature process on the encrypted data details information to obtain signature information; The encrypted data details information and the signature information are sent to the node monitoring cluster.

4. The urban operation data monitoring system according to claim 3, wherein: The node monitoring cluster is further configured to: In response to receiving the encrypted data details information and signature information sent by the city operation data upload node, verifying the received signature information to obtain signature verification result information; In response to determining that the signature verification result information indicates that the verification has passed, the received encrypted data detail information is stored and processed.

5. The urban operation data monitoring system according to claim 1, wherein: The data request information includes node identification information and a set of requested data keywords; and the node monitoring cluster is further configured to: In response to receiving the data request information sent by the city operation data access node, performing registration verification processing on the city operation data access node to obtain registration verification result information; In response to determining that the registration verification result information indicates that the verification is passed, obtaining encrypted data detail information corresponding to the requested data keyword set included in the data request information according to the node identification information included in the data request information; Obtaining user public encrypted information corresponding to the city operation data access node; According to the user's public encrypted information corresponding to the city operation data access node, the obtained encrypted data details information is encrypted to obtain secondary encrypted data details information; The obtained secondary encrypted data details information is sent to the city operation data access node.

6. The urban operation data monitoring system according to claim 5, wherein: The city operation data access node is further configured to: Decrypting the secondary encrypted data details information according to the received user private encryption information to obtain the encrypted data details information corresponding to the data request information; According to the storage address information included in the obtained encrypted data detail information corresponding to the data request information, the encrypted city operation data corresponding to the storage address information is obtained from the city operation data storage cluster.

7. A city operation data monitoring method, applied to the city operation data monitoring system according to any one of claims 1 to 6, comprising: Preprocessing the city operation data to obtain preprocessed city operation data, wherein the city operation data is obtained by the city operation data monitoring system according to any one of claims 1 to 6; Combining the pre-processed urban operation data to obtain combined-processed urban operation data; Performing visual display processing on the combined and processed urban operation data; Determining, according to the combined and processed city operation data, warning level information corresponding to the city operation data; In response to determining that the warning level information meets the preset warning conditions, the warning prompt information is highlighted and sent to the associated terminal device to monitor and process the city operation data.

8. An electronic device, comprising: one or more processors; A storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as claimed in claim 7.

9. A computer-readable storage medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the method according to claim 7 is implemented.

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