Data governance methods, devices, equipment, storage media and products

Abstract

The present application discloses a data governance method, device, equipment, storage medium and product, which relate to the field of data processing technology. The data governance method includes: obtaining energy planning data that needs to be governed, the energy planning data includes energy planning private data and energy planning public data; privatizing the energy planning private data to obtain private signature data; publicizing the energy planning public data to obtain public signature data; determining the data capacity of the private signature data, and determining the encryption characteristic value of the private signature data based on the data capacity; encrypting the encryption characteristic value based on the time point characteristics of the current moment to obtain an encrypted data packet; uploading the encrypted data and the public signature data to a data platform for display, thereby avoiding the problems of complex data circulation and low data value caused by the lack of data intercommunication between traditional systems.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to data governance methods, devices, equipment, storage media and products. Background Art

[0002] With the rapid development of technologies such as big data, cloud computing, and the Internet of Things, energy management and control systems will rely more on data for accurate decision-making. Energy data governance will promote the deep integration of these technologies with energy management and control, and achieve comprehensive monitoring, intelligent analysis, and fine management of energy production and consumption.

[0003] The traditional energy data management model has its own management system in each management department, and the data between systems are not interoperable, making it difficult for data between departments to be coordinated with other equal-level departments. Summary of the invention

[0004] The main purpose of this application is to provide a data governance method, device, equipment, storage medium and product, aiming to solve the technical problem that energy data between traditional systems are not interoperable, making it difficult to coordinate data between departments.

[0005] To achieve the above objectives, this application proposes a data governance method, which includes:

[0006] Acquire energy planning data that requires data governance, wherein the energy planning data includes energy planning private data and energy planning public data;

[0007] Performing a private signature on the energy planning private data to obtain private signature data;

[0008] Performing a public signature on the energy planning public data to obtain public signature data;

[0009] Determining the data capacity of the private signature data, and determining the encryption characteristic value of the private signature data based on the data capacity;

[0010] Encrypting the encrypted feature value based on the time point feature of the current moment to obtain an encrypted data packet;

[0011] The encrypted data and the public signature data are uploaded to the data platform for display.

[0012] In one embodiment, the step of determining the data capacity of the private signature data and determining the encryption characteristic value of the private signature data based on the data capacity includes:

[0013] Performing capacity statistics on the private signature data to obtain the data capacity of the private signature data;

[0014] Performing data growth prediction based on the data capacity to obtain predicted data occupancy capacity;

[0015] The encryption characteristic value of the private signature data is determined according to the data occupied capacity.

[0016] In one embodiment, the step of determining the encryption characteristic value of the private signature data according to the data occupied capacity includes:

[0017] Determining the number of groups into which the private signature data is divided based on the data occupied capacity;

[0018] Dividing the private signature data based on the number of division groups to obtain divided private sub-data;

[0019] A data encryption method is determined based on the data occupied capacity, and each of the divided private sub-data is encrypted based on the data encryption method to obtain an encryption characteristic value.

[0020] In one embodiment, the step of encrypting the encrypted feature value based on the time point feature of the current moment to obtain an encrypted data packet includes:

[0021] Get the time point features of the current moment and generate an empty data segment;

[0022] dividing the initial encrypted data packet into a first data partition and a second data partition based on the empty data segment;

[0023] Based on the time point characteristics of the current moment, the encryption feature values ​​corresponding to each of the private sub-data are divided into the first data partition and the second data partition to obtain an encrypted data packet.

[0024] In one embodiment, the step of dividing the encryption feature values ​​corresponding to each of the private sub-data into the first data partition and the second data partition based on the time point feature of the current moment to obtain the encrypted data packet includes:

[0025] Get the parity characteristics of the current time point;

[0026] When the time point of the current moment is an odd number, the encryption characteristic values ​​corresponding to the private sub-data are sequentially divided into the first data partition or the second data partition;

[0027] When the time point of the current moment is an even number, the encryption characteristic values ​​corresponding to the private sub-data are divided into the first data partition or the second data partition in reverse order.

[0028] In one embodiment, the step of uploading the encrypted data and the public signature data to a data platform for display includes:

[0029] Performing permission processing on the encrypted data, and uploading the encrypted data after permission processing to the permission database of the data platform;

[0030] Uploading the public signature data to the public database of the data platform;

[0031] The permission database and public database of the data platform are displayed.

[0032] In addition, to achieve the above objectives, the present application also proposes a data management device, which includes:

[0033] A data acquisition module, used to acquire energy planning data that needs to be managed, wherein the energy planning data includes energy planning private data and energy planning public data;

[0034] A data signature module, used to perform a private signature on the energy planning private data to obtain private signature data;

[0035] The data signature module is further used to perform a public signature on the energy planning public data to obtain public signature data;

[0036] A data encryption module, used to determine the data capacity of the private signature data, and determine the encryption characteristic value of the private signature data based on the data capacity;

[0037] The data encryption module is further used to encrypt the encryption feature value based on the time point feature of the current moment to obtain an encrypted data packet;

[0038] The data display module is used to upload the encrypted data and the public signature data to the data platform for display.

[0039] In addition, to achieve the above objectives, the present application also proposes a data governance device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the data governance method described above.

[0040] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the data governance method described above are implemented.

[0041] In addition, to achieve the above objectives, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the data governance method described above.

[0042] One or more technical solutions proposed in this application have at least the following technical effects:

[0043] This application obtains energy planning data that needs to be governed, and the energy planning data includes energy planning private data and energy planning public data; privately signs the energy planning private data to obtain private signature data; publicly signs the energy planning public data to obtain public signature data; determines the data capacity of the private signature data, and determines the encryption characteristic value of the private signature data based on the data capacity; encrypts the encryption characteristic value based on the time point characteristics of the current moment to obtain an encrypted data packet; and uploads the encrypted data and the public signature data to the data platform for display. Since the energy planning private data is signed and encrypted based on the data capacity for the first time, and then encrypted again based on the time point characteristics of the current moment, the encrypted data packet and the energy planning public data are uploaded to the data platform together, so that data between different departments can be processed on the same data platform, and the data type can be changed by simply switching the signature in the data, avoiding the problems of complex data circulation and low data value caused by the non-intercommunication of data between traditional systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0046] Figure 1 A flowchart of the first embodiment of the data management method of this application is provided;

[0047] Figure 2 A flowchart of the second embodiment of the data management method of this application is provided;

[0048] Figure 3 A flowchart of the third embodiment of the data management method of this application is provided;

[0049] Figure 4 This is a schematic diagram of the module structure of the data management device according to an embodiment of the present application;

[0050] Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the data governance method in the embodiment of the present application.

[0051] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0053] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0054] The main solution of the embodiment of the present application is: obtaining energy planning data that requires data governance, the energy planning data including energy planning private data and energy planning public data; privatizing the energy planning private data to obtain private signature data; publicizing the energy planning public data to obtain public signature data; determining the data capacity of the private signature data, and determining the encryption characteristic value of the private signature data based on the data capacity; encrypting the encryption characteristic value based on the time point characteristics of the current moment to obtain an encrypted data packet; uploading the encrypted data and the public signature data to the data platform for display.

[0055] In the current existing technology, each department has its own data processing system, the data between systems are not interoperable, and the data standards are not consistent for different management dimensions. The data is scattered among different systems, making it difficult to analyze the value of the data.

[0056] This application provides a solution that encrypts the private energy planning data of different departments and uploads the encrypted data package and public signature data to the data platform for display, so that different departments can share and analyze data through the same data platform, thereby improving the data linkage capability and usage value of the data.

[0057] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a computer, server, etc., or an electronic device, virtual device, etc. that can realize the above functions. The following takes a data governance device (referred to as a governance device) as an example to illustrate this embodiment and the following embodiments.

[0058] Based on this, the present application embodiment provides a data governance method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the data governance method of the present application.

[0059] In this embodiment, the data governance method includes:

[0060] Step S10, obtaining energy planning data that needs to be governed, wherein the energy planning data includes energy planning private data and energy planning public data;

[0061] It should be noted that in the energy management and control system, different types of energy data may be involved, such as thermal power data, solar energy data, cold and heat energy data, tidal energy data, photovoltaic data, wind power data, hydrogen energy data, etc., and the embodiments of the present application do not limit this.

[0062] It should be understood that there may be correlations between different energy data, such as solar energy data and photovoltaic data, tidal energy data and hydropower data, etc. By analyzing the correlations between different energy data, better predictions can be made on the energy market.

[0063] It is understandable that the above energy planning data may include multiple types, which are of great significance for formulating and implementing effective energy planning, and may specifically include wind power production data, thermal power production data, power consumption data, etc., which are not limited in the embodiments of the present application.

[0064] It should be noted that based on the application type of energy planning data, it can be divided into energy planning private data and energy planning public data. Among them, energy planning private data is the independent data in each energy department. When an energy department accesses the energy planning private data of other energy departments, the access terminal in the energy department can be authenticated and other operations can be performed to improve the privacy and security of energy planning private data. Energy planning public data is data that can be circulated between energy departments. Through energy planning public data, departments can analyze energy consumption, energy surplus, and the conversion amount of various energy types under different circumstances, and then more accurately predict the future use and conversion of energy.

[0065] It is understandable that the private energy planning data of various departments can be regarded as data of different dimensions. By governing the private energy planning data of different dimensions, the integration and standardization of data can be achieved.

[0066] In a specific implementation, the governance device can obtain energy planning private data and energy planning public data that need to be governed.

[0067] Step S20, performing a private signature on the energy planning private data to obtain private signature data;

[0068] Step S30, performing a public signature on the energy planning public data to obtain public signature data;

[0069] It should be noted that the above-mentioned privatization signature is a method for increasing data security and privacy. By privatizing the energy planning private data, the identification and preliminary encryption of the data can be achieved. The above-mentioned public signature is to mark the public data of the energy planning as public. The system can recognize the data based on the mark on the data, and then process the public marked data and the privatized mark in different ways. In some embodiments of the present application, the signature method can be a digital signature, an electronic signature, etc., which is not limited by the present application.

[0070] It is understandable that in actual applications, by changing the signature of the data, the energy planning data can be converted between the sharing type and the private type, so that the data can be dynamically adjusted according to the specific application scenarios and needs, thereby meeting the security needs of different departments and different businesses. At the same time, the scalability of the data is enhanced and the cost of data management is reduced.

[0071] Step S40, determining the data capacity of the private signature data, and determining the encryption characteristic value of the private signature data based on the data capacity;

[0072] It should be noted that when obtaining the private signature data, the data capacity of the private signature data can be determined. It can be understood that the data capacity is the size of the space required to store or process the private signature data.

[0073] In one implementation of the embodiment of the present application, the encryption method of the private signature data can be determined based on the data capacity, and then the private signature data can be further encrypted to obtain an encrypted characteristic value.

[0074] Furthermore, based on the encryption characteristic value, further encryption can be performed, such as encryption based on the current time point, encryption based on user permissions, etc., which is not limited in the embodiments of the present application.

[0075] In some implementations of the embodiments of the present application, the method of the embodiments of the present application further includes:

[0076] Step S50, encrypting the encryption feature value based on the time point feature of the current moment to obtain an encrypted data packet;

[0077] It is understandable that the encrypted data packet is a data packet obtained by encrypting the energy planning private data once or multiple times. In one implementation of the embodiment of the present application, the encrypted characteristic value can be further encrypted based on the time point characteristics of the current moment to obtain an encrypted data packet. In one implementation of the embodiment of the present application, the encrypted data packet can also be directly obtained based on the encrypted characteristic value.

[0078] It should be understood that the above-mentioned time point features of the current moment can be obtained based on the timestamp of the current moment, such as the parity of the timestamp of the current moment, the value of a specific number of bits in the timestamp, etc., and the embodiments of the present application are not limited to this.

[0079] Step S60: Upload the encrypted data and the public signature data to a data platform for display.

[0080] It should be noted that when the encrypted data is obtained, the encrypted data and the public signature data can be uploaded to the data platform for display. It can be understood that the encrypted data contains a private signature and the public signature data contains a public signature. Based on the signature type in the data, the data platform can set different display settings for the data.

[0081] It is understandable that the above data platform is also a platform for data processing, data interaction, and data display. Various departments can perform energy planning, energy forecasting, and other operations through the data provided by the data platform.

[0082] The embodiment of the present application obtains energy planning data that needs to be governed, and the energy planning data includes energy planning private data and energy planning public data; privately signs the energy planning private data to obtain private signature data; publicly signs the energy planning public data to obtain public signature data; determines the data capacity of the private signature data, and determines the encryption characteristic value of the private signature data based on the data capacity; encrypts the encryption characteristic value based on the time point characteristics of the current moment to obtain an encrypted data packet; and uploads the encrypted data and the public signature data to the data platform for display. Since the energy planning private data is signed and encrypted based on the data capacity for the first time, and then encrypted again based on the time point characteristics of the current moment, the encrypted data packet and the energy planning public data are uploaded to the data platform together, so that data between different departments can be processed on the same data platform, and the data type can be changed by simply switching the signature in the data, avoiding the problems of complex data circulation and low data value caused by the non-intercommunication of data between traditional systems.

[0083] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 2 In an embodiment of the present application, the step of determining the data capacity of the private signature data and determining the encryption characteristic value of the private signature data based on the data capacity includes:

[0084] Step S41, performing capacity statistics on the private signature data to obtain the data capacity of the private signature data;

[0085] It is understandable that in order to perform capacity statistics on private signature data, the private signature data can be standardized first to convert the obtained private signature data into data in a unified data format. Based on the standardized private signature data, the data capacity occupied by it can be counted to obtain the data capacity.

[0086] Step S42, performing data growth prediction based on the data capacity to obtain predicted data occupancy capacity;

[0087] It should be noted that since energy planning data may include different types, the growth and consumption of different types of energy planning data are different. Therefore, when determining the data capacity of private signature data, its corresponding energy prediction model can be determined based on its corresponding energy planning data type. By inputting the data capacity into the energy prediction model for data growth prediction, the predicted data occupancy capacity can be obtained.

[0088] It can be understood that the above-mentioned energy prediction model is an automatic prediction model built based on a machine learning algorithm. Different energy prediction models may correspond to different energy planning data types. By inputting the data capacity corresponding to the private signature data into the energy prediction model, the predicted data occupancy capacity corresponding to the private signature data segment can be determined.

[0089] It should be understood that private energy planning data may include consumption, consumption rate, production volume, etc. of different types of energy, while public energy planning data may include surplus, supply and demand conditions, etc. of different types of energy. The embodiments of the present application do not limit this.

[0090] Step S43: determining the encryption characteristic value of the private signature data according to the data occupied capacity.

[0091] It should be noted that when determining the data occupied capacity, the encryption characteristic value of the private signature data can be determined based on the data occupied capacity of the private signature data. Specifically, the step of determining the encryption characteristic value of the private signature data based on the data occupied capacity includes:

[0092] Determining the number of groups into which the private signature data is divided based on the data occupied capacity;

[0093] Dividing the private signature data based on the number of division groups to obtain divided private sub-data;

[0094] A data encryption method is determined based on the data occupied capacity, and each of the divided private sub-data is encrypted based on the data encryption method to obtain an encryption characteristic value.

[0095] In the embodiment of the present application, the corresponding number of division groups is determined based on the data occupied capacity of the private signature data. The larger the data occupied capacity of the private signature data, the more corresponding division groups it has. The specific correspondence between the data occupied capacity and the number of division groups can be selected according to the actual application, and the embodiment of the present application does not limit this.

[0096] It is understandable that when the number of division groups of the private signature data is determined, the private signature data can be divided to obtain the divided private sub-data. It should be noted that since the data occupied capacity is not the actual capacity of the private signature data, the embodiment of the present application can generate an empty data segment as a group of divided data in the application, and the sum of the empty data segment and the number of groups of all the divided private sub-data is the above-mentioned number of division groups. Exemplarily, when the number of division groups is 10 groups, an empty data segment can be generated as a group of data, and the private signature data can be divided into 9 groups of private sub-data, and encrypted based on the empty data segment and the private sub-data to obtain an encrypted data packet. Specifically, the step of encrypting the encryption feature value based on the time point characteristics of the current moment to obtain an encrypted data packet includes:

[0097] Get the time point features of the current moment and generate an empty data segment;

[0098] dividing the initial encrypted data packet into a first data partition and a second data partition based on the empty data segment;

[0099] Based on the time point characteristics of the current moment, the encryption feature values ​​corresponding to each of the private sub-data are divided into the first data partition and the second data partition to obtain an encrypted data packet.

[0100] It should be noted that, before encryption, an empty data segment may be generated and inserted between the divided groups of private sub-data, and the time point characteristics of the current moment may be obtained.

[0101] In some implementations of the embodiments of the present application, by inserting an empty data segment into the initial encrypted data packet, the initial encrypted data packet can be divided into a first data partition, an empty data segment, and a second data partition. By adding each group of private sub-data to the first data partition or the second data partition, the data can be encrypted.

[0102] The embodiment of the present application obtains the data capacity of the private signature data by performing capacity statistics on the private signature data; performs data growth prediction based on the data capacity to obtain the predicted data occupancy capacity; and determines the encryption characteristic value of the private signature data according to the data occupancy capacity. Since the encryption characteristic value is obtained by predicting the data capacity and encrypting the private signature data based on the predicted data occupancy capacity, the security of data storage and management is improved.

[0103] Based on the first embodiment and / or the second embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those of the above-mentioned first embodiment and / or the second embodiment can refer to the above introduction, and will not be repeated later. Figure 3 In an embodiment of the present application, the step of dividing the encryption feature values ​​corresponding to each of the private sub-data into the first data partition and the second data partition based on the time point feature of the current moment to obtain an encrypted data packet includes:

[0104] Step S100, obtaining the parity feature of the current time point;

[0105] Step S200, when the current time point is an odd number, sequentially divide the encryption characteristic values ​​corresponding to the private sub-data into the first data partition or the second data partition;

[0106] Step S300, when the time point of the current moment is an even number, the encryption characteristic values ​​corresponding to the private sub-data are divided into the first data partition or the second data partition in reverse order.

[0107] It should be noted that the parity feature of the time point at the current moment is also the parity of the timestamp corresponding to the time point at the current moment. When the timestamp corresponding to the time point at the current moment is an odd number, the encrypted characteristic values ​​corresponding to each group of private sub-data can be divided into the first data partition or the second data partition in sequence. Specifically, the encrypted characteristic values ​​corresponding to the first group of private sub-data are divided into the first data partition, the encrypted characteristic values ​​corresponding to the second group of private sub-data are divided into the second data partition, and the encrypted characteristic values ​​corresponding to the third group of private sub-data are divided into the first data partition... When the timestamp corresponding to the time point at the current moment is an even number, the encrypted characteristic values ​​corresponding to each group of private sub-data can be divided into the first data partition or the second data partition in reverse order. Specifically, the encrypted characteristic values ​​corresponding to the last group of private sub-data are divided into the first data partition, and the encrypted characteristic values ​​corresponding to the second to last group of private sub-data are divided into the second data partition...

[0108] It is understandable that when encrypting and decrypting data, only the encrypted characteristic values ​​corresponding to the private sub-data in each data partition can be taken out and rearranged to obtain the encrypted characteristic values ​​corresponding to the private signature data. Then, the private signature data can be obtained by decrypting the encrypted characteristic values.

[0109] It should be noted that in order to enable departments to read data from each other, the embodiment of the present application can also perform permission processing on encrypted data. When users from outside the department access encrypted data, their permissions can be identified. If there are access permissions, the encrypted data can be opened to them.

[0110] Specifically, the step of uploading the encrypted data and the public signature data to the data platform for display includes:

[0111] Performing permission processing on the encrypted data, and uploading the encrypted data after permission processing to the permission database of the data platform;

[0112] Uploading the public signature data to the public database of the data platform;

[0113] The permission database and public database of the data platform are displayed.

[0114] The embodiment of the present application obtains the parity feature of the current time point; when the current time point is an odd number, the encrypted feature values ​​corresponding to each private sub-data are sequentially divided into the first data partition or the second data partition; when the current time point is an even number, the encrypted feature values ​​corresponding to each private sub-data are reversely divided into the first data partition or the second data partition. By encrypting energy planning data of different dimensions and uniformly managing and displaying the encrypted data through a data platform, the problems of difficult management and low data value caused by the non-interoperability of data in traditional systems are avoided.

[0115] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the data governance method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0116] This application also provides a data management device, please refer to Figure 4 , the data management device comprises:

[0117] A data acquisition module 10 is used to acquire energy planning data that needs to be managed, wherein the energy planning data includes energy planning private data and energy planning public data;

[0118] A data signature module 20, used to perform a private signature on the energy planning private data to obtain private signature data;

[0119] The data signature module 20 is further used to perform a public signature on the energy planning public data to obtain public signature data;

[0120] A data encryption module 30, configured to determine the data capacity of the private signature data, and determine the encryption characteristic value of the private signature data based on the data capacity;

[0121] The data encryption module 30 is further used to encrypt the encryption feature value based on the time point feature of the current moment to obtain an encrypted data packet;

[0122] The data display module 40 is used to upload the encrypted data and the public signature data to the data platform for display.

[0123] The data governance device provided by the present application adopts the data governance method in the above embodiment, which can solve the technical problem that the energy data between traditional systems are not interoperable, making it difficult for data between departments to coordinate. Compared with the prior art, the beneficial effects of the data governance device provided by the present application are the same as the beneficial effects of the data governance method provided by the above embodiment, and the other technical features in the data governance device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0124] The present application provides a data governance device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the data governance method in the above-mentioned embodiment one.

[0125] Reference below Figure 5 , which shows a schematic diagram of the structure of a data management device suitable for implementing the embodiment of the present application. The data management device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The data governance device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0126] like Figure 5As shown, the data management device may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the data management device are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the data management device to communicate with other devices wirelessly or wired to exchange data. Although the figure shows a data management device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or provided instead.

[0127] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application 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 such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0128] The data management device provided by this application adopts the data management method in the above embodiment, which can solve the technical problem that the energy data between traditional systems are not interoperable, making it difficult for data between departments to coordinate. Compared with the prior art, the beneficial effects of the data management device provided by this application are the same as the beneficial effects of the data management method provided by the above embodiment, and the other technical features in the data management device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0129] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0130] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0131] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the data governance method in the above-mentioned embodiment.

[0132] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, 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 this embodiment, the 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, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0133] The computer-readable storage medium may be included in the data management device; or it may exist independently without being installed in the data management device.

[0134] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the data management device, the data management device:

[0135] Acquire energy planning data that requires data governance, wherein the energy planning data includes energy planning private data and energy planning public data;

[0136] Performing a private signature on the energy planning private data to obtain private signature data;

[0137] Performing a public signature on the energy planning public data to obtain public signature data;

[0138] Determining the data capacity of the private signature data, and determining the encryption characteristic value of the private signature data based on the data capacity;

[0139] Encrypting the encrypted feature value based on the time point feature of the current moment to obtain an encrypted data packet;

[0140] The encrypted data and the public signature data are uploaded to the data platform for display.

[0141] Computer program code for performing the operations of the present application 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 the case of a remote computer, the remote computer may be connected to the user's computer through 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).

[0142] 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 application. 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 alternative implementations, 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.

[0143] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0144] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned data governance method, and can solve the technical problem that the energy data between traditional systems are not interoperable, making it difficult for data between departments to coordinate. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the data governance method provided in the above-mentioned embodiment, and will not be repeated here.

[0145] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned data governance method when executed by a processor.

[0146] The computer program product provided by this application can solve the technical problem that the energy data between traditional systems are not interoperable, making it difficult for data between departments to coordinate. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the data governance method provided by the above embodiment, which will not be repeated here.

[0147] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A data governance method, characterized in that: The method comprises: Acquire energy planning data that requires data governance, wherein the energy planning data includes energy planning private data and energy planning public data; Performing a private signature on the energy planning private data to obtain private signature data; Performing a public signature on the energy planning public data to obtain public signature data; Determining the data capacity of the private signature data, and determining the encryption characteristic value of the private signature data based on the data capacity; Encrypting the encrypted feature value based on the time point feature of the current moment to obtain an encrypted data packet; Uploading the encrypted data and the public signature data to a data platform for display; The step of determining the data capacity of the private signature data and determining the encryption characteristic value of the private signature data based on the data capacity includes: Performing capacity statistics on the private signature data to obtain the data capacity of the private signature data; Performing data growth prediction based on the data capacity to obtain predicted data occupancy capacity; Determining the encryption characteristic value of the private signature data according to the data occupied capacity; The step of determining the encryption characteristic value of the private signature data according to the data occupied capacity includes: Determining the number of groups into which the private signature data is divided based on the data occupied capacity; Dividing the private signature data based on the number of division groups to obtain divided private sub-data; A data encryption method is determined based on the data occupied capacity, and each of the divided private sub-data is encrypted based on the data encryption method to obtain an encryption characteristic value.

2. The data governance method according to claim 1, characterized in that: The step of encrypting the encrypted feature value based on the time point feature of the current moment to obtain an encrypted data packet includes: Get the time point features of the current moment and generate an empty data segment; dividing the initial encrypted data packet into a first data partition and a second data partition based on the empty data segment; Based on the time point characteristics of the current moment, the encryption feature values ​​corresponding to each of the private sub-data are divided into the first data partition and the second data partition to obtain an encrypted data packet.

3. The data governance method according to claim 2, characterized in that: The step of dividing the encryption feature values ​​corresponding to each of the private sub-data into the first data partition and the second data partition based on the time point feature of the current moment to obtain an encrypted data packet includes: Get the parity characteristics of the current time point; When the time point of the current moment is an odd number, the encryption characteristic values ​​corresponding to the private sub-data are sequentially divided into the first data partition or the second data partition; When the time point of the current moment is an even number, the encryption characteristic values ​​corresponding to the private sub-data are divided into the first data partition or the second data partition in reverse order.

4. The data governance method according to claim 1, characterized in that: The step of uploading the encrypted data and the public signature data to the data platform for display includes: Performing permission processing on the encrypted data, and uploading the encrypted data after permission processing to the permission database of the data platform; Uploading the public signature data to the public database of the data platform; The permission database and public database of the data platform are displayed.

5. A data management device, characterized in that: The data management device comprises: A data acquisition module, used to acquire energy planning data that needs to be managed, wherein the energy planning data includes energy planning private data and energy planning public data; A data signature module, used to perform a private signature on the energy planning private data to obtain private signature data; The data signature module is further used to perform a public signature on the energy planning public data to obtain public signature data; A data encryption module, used to determine the data capacity of the private signature data, and determine the encryption characteristic value of the private signature data based on the data capacity; The data encryption module is further used to encrypt the encryption feature value based on the time point feature of the current moment to obtain an encrypted data packet; A data display module, used to upload the encrypted data and the public signature data to a data platform for display; The operation of determining the data capacity of the private signature data and determining the encryption characteristic value of the private signature data based on the data capacity includes: Performing capacity statistics on the private signature data to obtain the data capacity of the private signature data; Performing data growth prediction based on the data capacity to obtain predicted data occupancy capacity; Determining the encryption characteristic value of the private signature data according to the data occupied capacity; The operation of determining the encryption characteristic value of the private signature data according to the data occupied capacity includes: Determining the number of groups into which the private signature data is divided based on the data occupied capacity; Dividing the private signature data based on the number of division groups to obtain divided private sub-data; A data encryption method is determined based on the data occupied capacity, and each of the divided private sub-data is encrypted based on the data encryption method to obtain an encryption characteristic value.

6. A data management device, characterized in that: The device comprises: a memory, a processor, and a data management program stored in the memory and executable on the processor, wherein the data management program is configured to implement the steps of the data management method according to any one of claims 1 to 4.

7. A storage medium, characterized in that: The storage medium stores a data management program, and when the data management program is executed by the processor, the steps of the data management method according to any one of claims 1 to 4 are implemented.

8. A computer program product, characterized in that The computer program product comprises a computer program, which, when executed by a processor, implements the steps of the data governance method according to any one of claims 1 to 4.

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