CN117171810B - Low-carbon energy data access system and method for industrial park - Google Patents
Low-carbon energy data access system and method for industrial park Download PDFInfo
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Abstract
The invention discloses a low-carbon energy data access system and method for an industrial park, and belongs to the technical field of data access systems. The invention guarantees the effectiveness of the low-carbon energy data, and the invention ensures the integrity of the data by timely correcting the missing or tampered data, thereby avoiding the random tampering or theft of the data, influencing the normal management of the low-carbon energy data, avoiding the loss of the data, further ensuring the integrity of the data, avoiding the risk of the theft and damage of the low-carbon energy data due to the risk of network security, and ensuring the security of the low-carbon energy data.
Description
Technical Field
The invention relates to the technical field of data access systems, in particular to a low-carbon energy data access system and method for an industrial park.
Background
At present, the comprehensive low-carbon energy system comprises various energy forms at a supply side, wherein electric energy sources with different characteristics such as wind power, photovoltaic power, nuclear power, hydrogen energy power and the like are basically collected. In the research of the comprehensive low-carbon energy system, the method mainly researches the energy characteristics of various energy sources, utilizes the advantages of the various energy characteristics to perform multi-energy optimization and coordination scheduling, realizes the cascade utilization of various different energy sources, and maximizes the utilization rate of the energy sources as much as possible.
The Chinese patent with publication number CN114418288A discloses an information data access system for protecting power supply and an access method thereof, and the information data access system comprises a control center, a matching unit and an information management unit. The matching unit comprises a key reading module, a classifying module and a data access module. The information management unit comprises a data abnormality judging module, a data sorting module, a data deleting module and a data storage module. The data abnormality determination module determines abnormal data based on the value range of the basic data. According to the data access system, the problems of poor and missing of acquired basic data are effectively solved, the accuracy of system data checking and data processing is optimized, a plurality of safety barriers are established in regions based on a one-to-one matching information interaction mode, multi-dimensional safety protection is realized, and safe and stable power supply guarantee is ensured.
In the practical use process of the information data access system, as the data is stored and transmitted through the network when being stored, the data is at risk of being stolen, tampered or lost when the network is invaded, and the effectiveness of the data is further affected; therefore, the existing needs are not met, and for this reason we propose a low-carbon energy data access system and method for industrial park.
Disclosure of Invention
The invention aims to provide a low-carbon energy data access system and a low-carbon energy data access method for an industrial park, which ensure the effectiveness of low-carbon energy data, ensure that the data is deleted or tampered in time for correction, further ensure the integrity of the data, avoid the data from being tampered or stolen arbitrarily, influence the normal management of the low-carbon energy data, avoid the loss of the data, further ensure the integrity of the data, avoid the risk of theft and damage of the low-carbon energy data due to the risk of network security, ensure the safety of the low-carbon energy data and solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: a low carbon energy data access system for an industrial park, comprising:
The data collection system is used for receiving and uploading low-carbon energy data of the industrial park in real time, screening the received data, uploading the screened effective data, classifying and respectively storing the uploaded low-carbon energy data to form a low-carbon energy database, and generating a corresponding low-carbon energy data catalog.
The data management system is used for accessing the stored low-carbon energy data and forming low-carbon energy data backup, comparing the stored low-carbon energy data with the backed-up low-carbon energy data, and analyzing the comparison result to determine whether the low-carbon energy data is tampered or stolen.
And the central processing unit is used for respectively encrypting the accessed low-carbon energy data and the backed-up low-carbon energy data through the SAM security module, forming a corresponding decryption password, receiving the decryption password of the user, calling the low-carbon energy data according to the decryption password of the user, recording the time when the current user calls the low-carbon energy data and the type of the called low-carbon energy data, receiving alarm information and sending an alarm signal.
The anti-theft system is used for monitoring environment data and network safety of the industrial park network in real time, protecting stored low-carbon energy data, protecting low-carbon energy data transmission and reception in real time, evaluating the environment data and network safety of the industrial park network in real time, feeding back the environment data and network safety to the alarm module when risks exist, and meanwhile conducting network disconnection processing on the network of the industrial park.
Preferably, the data collection system specifically includes:
And the data acquisition module is used for receiving and uploading the low-carbon energy data of the industrial park in real time and screening the low-carbon energy data.
The data classification module is used for classifying the uploaded low-carbon energy data, and the types of the low-carbon energy data comprise wind energy data, photovoltaic energy data, nuclear energy data and hydrogen energy data.
And the data storage module is used for respectively storing the classified low-carbon energy data to form a low-carbon energy database and generating a corresponding data catalog, and the data storage module adopts a RAM (random access memory).
Preferably, the data acquisition module includes:
and collecting low-carbon energy data of each category of the industrial park in real time.
And screening the low-carbon energy data of each category of the industrial park according to the low-carbon energy data characteristics, and removing bad data.
And acquiring corresponding low-carbon energy data characteristics, and extracting the acquired low-carbon energy data of each type.
And comparing all the collected low-carbon energy data with the low-carbon energy data characteristics, wherein the low-carbon energy data are effective data according with the low-carbon energy data characteristics, and the low-carbon energy data are bad data if the low-carbon energy data are not according with the low-carbon energy data characteristics.
Reject bad data, and upload the remaining effective data continuously.
Preferably, the central processing unit includes:
and the encryption module is used for respectively encrypting the data in the low-carbon energy database and the backup data through the SAM security module and forming a corresponding decryption password.
And the calling module is used for receiving the decryption password of the user, calling the low-carbon energy data according to the decryption password of the user, and recording the time of calling the low-carbon energy data by the current user and the type of the called low-carbon energy data.
And the alarm module is used for receiving the alarm information and sending an alarm instruction.
Preferably, the data management system specifically includes:
And the data access module is used for accessing the low-carbon energy data stored by the data storage module and forming low-carbon energy data backup.
And the comparison module is used for comparing the low-carbon energy data in the storage module with the backed-up low-carbon energy data and transmitting the comparison result to the analysis module.
And the analysis module is used for analyzing the result compared by the comparison module and determining whether the low-carbon energy data is tampered or stolen.
Preferably, the data access module includes:
The historical record data calling module is used for calling historical record data of the history obtained low-carbon energy data;
the first data information acquisition module is used for acquiring data information of the low-carbon energy data obtained in unit time from the historical record data; the data information comprises the data quantity and the data variation of the low-carbon energy data obtained in unit time;
The second data information acquisition module is used for acquiring time data information corresponding to the unit data volume of the low-carbon energy data from the historical record data, wherein the time data information comprises time length and time change length corresponding to the unit data volume of the low-carbon energy data;
The communication access evaluation factor acquisition module is used for acquiring the communication access evaluation factor by utilizing the data information of the low-carbon energy data acquired in the unit time in the historical record data and the time data information of the time data corresponding to the unit data volume of the low-carbon energy data acquired in the historical record data, wherein the communication access evaluation factor is acquired by the following formula:
Wherein Q represents a communication access evaluation factor; c 0 represents the data value corresponding to the unit data amount; c p represents the average data amount of the low-carbon energy data corresponding to unit time in the historical record data; n represents the number of unit time that have elapsed in the history data; m represents the number of the obtained unit data amount in the history data; c i represents the data amount of the low-carbon energy data corresponding to the ith unit time; t i represents the acquisition time length corresponding to the ith unit data quantity; e represents a constant;
And the communication connection thread establishing module is used for determining the time for establishing communication thread connection by the data access module by utilizing the communication access evaluation factor, and disconnecting the communication thread connection after the current low-carbon energy data transmission backup is completed.
And repeating the process to finish the data backup of each round.
Preferably, the communication connection thread establishment module includes:
The evaluation factor extraction module is used for extracting the communication access evaluation factors;
The communication access evaluation parameter acquisition module is used for acquiring communication access evaluation parameters by utilizing the communication access evaluation factors; the communication access evaluation parameters are obtained through the following formula:
Wherein S represents a communication access evaluation parameter; q 0 represents a preset factor reference value; s 0 represents a preset parameter reference value; q represents a communication access evaluation factor;
the thread connection establishment execution module is used for establishing communication thread connection when the communication access evaluation parameter exceeds a preset parameter threshold;
The data backup monitoring module is used for monitoring whether the backup of the currently acquired unrepeated low-carbon energy data is completed or not in real time after the communication thread connection is established;
and the communication disconnection execution module is used for disconnecting the communication thread after the backup of the currently acquired unrepeated low-carbon energy data is completed.
Preferably, the specific workflow of the data management system specifically includes:
firstly, accessing low-carbon energy data through a data access module, forming low-carbon energy data backup, searching stored low-carbon energy data, and obtaining the actual value of the low-carbon energy data.
And then, the searched low-carbon energy data is called and compared with the backed-up low-carbon energy data, and a comparison result is determined.
And finally, analyzing and evaluating the determined comparison result to obtain a comparison result, determining an analysis report corresponding to the comparison result based on the comparison result, determining whether the low-carbon energy data is tampered or lost, if the comparison result is consistent, proving that the low-carbon energy data is not tampered or lost, if the comparison result is inconsistent, maliciously tampered or lost, determining an abnormal point of the low-carbon energy data, and calling corresponding data from the backup data according to the abnormal point to modify.
Preferably, the anti-theft system specifically includes:
the network monitoring module is used for carrying out real-time monitoring and detection on environment data and network security of an industrial park network and carrying out real-time detection on low-carbon energy data intrusion lines and network intrusion behaviors, and comprises the following components: whether network vulnerabilities exist or not is detected by a vulnerability detection program, whether network intrusions exist or not is detected by an intrusion detection program, and whether network viruses exist or not is detected by a virus detection program.
The data protection module is used for protecting the stored low-carbon energy data and protecting the transmission and the reception of the data in real time.
And the network evaluation module is used for acquiring network environment data, evaluating the environment data and network security of the industrial park network in real time, feeding back the situation to the alarm module if the risk exists, and closing the industrial park network.
The invention also provides a use method of the low-carbon energy data access system for the industrial park, which comprises the following steps:
Step one: and receiving and uploading the low-carbon energy data of the industrial park in real time, screening the low-carbon energy data, classifying the screened low-carbon energy data, and respectively storing the classified low-carbon energy data.
Step two: and accessing the stored low-carbon energy data and forming a low-carbon energy data backup, and periodically searching the stored low-carbon energy data to determine whether the low-carbon energy data is tampered or lost.
Step three: and respectively encrypting the accessed low-carbon energy data and the backed-up low-carbon energy data through the SAM security module, forming a corresponding decryption password, when the low-carbon energy data is required to be called, calling the low-carbon energy data through the decryption password, and simultaneously recording the current time for calling the low-carbon energy data and the type of the called low-carbon energy data.
Step four: after the low-carbon energy data is accessed, the environment data and the network safety of the industrial park network are monitored in real time, and the environment data and the network safety of the industrial park network are evaluated in real time while the network installation is monitored.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the low-carbon energy data is accessed and the low-carbon energy data backup is formed through the set data management system, the stored low-carbon energy data and the backed-up low-carbon energy data are regularly compared, and the comparison result is obtained, so that the regular checking of the data in the low-carbon energy database is realized, the validity of the low-carbon energy data is ensured, the data is deleted or tampered and corrected in time, the integrity of the data is further ensured, and the random tampering or theft of the data is avoided, thereby influencing the normal management of the low-carbon energy data.
2. According to the invention, the environment data and network safety of the industrial park network are monitored in real time through the anti-theft system, the low-carbon energy data transmission and reception are protected in real time, the situation is fed back to the alarm module when the risk exists, meanwhile, the network of the industrial park is subjected to network disconnection processing, so that the low-carbon energy data is protected more carefully, when the network is attacked, the data protection module transmits signals to the alarm module to alarm, downloads the data and performs network disconnection processing on the Internet, the loss of the data is avoided, the integrity of the data is further ensured, the risk of theft and damage of the low-carbon energy data due to the existence of the network safety is avoided, and the safety of the low-carbon energy data is ensured.
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FIG. 1 is a schematic diagram of the modular principle of the present invention;
Fig. 2 is a flow chart of the operation of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the problem that the effectiveness of data is affected by the risk of theft, tampering or loss of data when a network is invaded due to the fact that the data is stored and transmitted through the network in the actual use process of the existing information data access system, referring to fig. 1-2, the following technical scheme is provided in the embodiment:
A low carbon energy data access system for an industrial park, comprising:
The data collection system is used for receiving and uploading low-carbon energy data of the industrial park in real time, screening the received data, uploading the screened effective data, classifying and respectively storing the uploaded low-carbon energy data to form a low-carbon energy database, and generating a corresponding low-carbon energy data catalog.
The data management system is used for accessing the stored low-carbon energy data and forming low-carbon energy data backup, comparing the stored low-carbon energy data with the backed-up low-carbon energy data, and analyzing the comparison result to determine whether the low-carbon energy data is tampered or stolen.
And the central processing unit is used for respectively encrypting the accessed low-carbon energy data and the backed-up low-carbon energy data through the SAM security module, forming a corresponding decryption password, receiving the decryption password of the user, calling the low-carbon energy data according to the decryption password of the user, recording the time when the current user calls the low-carbon energy data and the type of the called low-carbon energy data, receiving alarm information and sending an alarm signal.
The anti-theft system is used for monitoring environment data and network safety of the industrial park network in real time, protecting stored low-carbon energy data, protecting low-carbon energy data transmission and reception in real time, evaluating the environment data and network safety of the industrial park network in real time, feeding back the environment data and network safety to the alarm module when risks exist, and meanwhile conducting network disconnection processing on the network of the industrial park.
The data collection system specifically comprises:
And the data acquisition module is used for receiving and uploading the low-carbon energy data of the industrial park in real time, screening the low-carbon energy data, avoiding the received low-carbon energy data from being bad and missing, and ensuring the effectiveness and the integrity of the data.
The data classification module is used for classifying the uploaded low-carbon energy data, and the types of the low-carbon energy data comprise wind energy data, photovoltaic energy data, nuclear energy data and hydrogen energy data.
And the data storage module is used for respectively storing the classified low-carbon energy data to form a low-carbon energy database and generating a corresponding data catalog, and the data storage module adopts a RAM (random access memory).
The data acquisition module comprises:
and collecting low-carbon energy data of each category of the industrial park in real time.
And screening the low-carbon energy data of each category of the industrial park according to the low-carbon energy data characteristics, and removing bad data.
And acquiring corresponding low-carbon energy data characteristics, and extracting the acquired low-carbon energy data of each type.
And comparing all the collected low-carbon energy data with the low-carbon energy data features, wherein the low-carbon energy data features are effective data, and the low-carbon energy data features are not met, so that the problem that the data are invalid due to the occurrence of the poor data is avoided, and the management of the low-carbon energy data is influenced.
Reject bad data, and upload the remaining effective data continuously.
The central processing unit specifically includes:
and the encryption module is used for respectively encrypting the data in the low-carbon energy database and the backup data through the SAM security module and forming a corresponding decryption password.
The calling module is used for receiving the decryption password of the user, calling the low-carbon energy data according to the decryption password of the user, recording the time of calling the low-carbon energy data by the current user and the type of the called low-carbon energy data, ensuring the calling safety of the low-carbon energy data and further improving the safety of the low-carbon energy data management.
And the alarm module is used for receiving the alarm information and sending an alarm instruction.
The data management system specifically comprises:
And the data access module is used for accessing the low-carbon energy data stored by the data storage module and forming low-carbon energy data backup.
And the data comparison module is used for comparing the low-carbon energy data in the storage module with the backed-up low-carbon energy data and transmitting the comparison result to the analysis module.
The data analysis module is used for analyzing the result compared by the comparison module and determining whether the low-carbon energy data is tampered or stolen so as to ensure the integrity of the low-carbon energy data and avoid the influence on the normal management of the low-carbon energy data due to random tampering or theft of the data.
Specifically, the data access module includes:
The historical record data calling module is used for calling historical record data of the history obtained low-carbon energy data;
the first data information acquisition module is used for acquiring data information of the low-carbon energy data obtained in unit time from the historical record data; the data information comprises the data quantity and the data variation of the low-carbon energy data obtained in unit time;
The second data information acquisition module is used for acquiring time data information corresponding to the unit data volume of the low-carbon energy data from the historical record data, wherein the time data information comprises time length and time change length corresponding to the unit data volume of the low-carbon energy data;
The communication access evaluation factor acquisition module is used for acquiring the communication access evaluation factor by utilizing the data information of the low-carbon energy data acquired in the unit time in the historical record data and the time data information of the time data corresponding to the unit data volume of the low-carbon energy data acquired in the historical record data, wherein the communication access evaluation factor is acquired by the following formula:
Wherein Q represents a communication access evaluation factor; c 0 represents the data value corresponding to the unit data amount; c p represents the average data amount of the low-carbon energy data corresponding to unit time in the historical record data; n represents the number of unit time that have elapsed in the history data; m represents the number of the obtained unit data amount in the history data; c i represents the data amount of the low-carbon energy data corresponding to the ith unit time; t i represents the acquisition time length corresponding to the ith unit data quantity; e represents a constant;
And the communication connection thread establishing module is used for determining the time for establishing communication thread connection by the data access module by utilizing the communication access evaluation factor, and disconnecting the communication thread connection after the current low-carbon energy data transmission backup is completed.
And repeating the process to finish the data backup of each round.
The technical effects of the technical scheme are as follows: the scheme comprises a history data calling module for calling the history data of the history obtained low-carbon energy data. This helps analyze and understand past low carbon energy data, providing a basis for subsequent decisions and evaluations.
And acquiring real-time data, wherein the first data information acquisition module and the second data information acquisition module in the scheme can extract the data information of the low-carbon energy data obtained in unit time from the historical record data. This means that the system can acquire data on low-carbon energy sources in real time, including the data amount and the data variation amount, and time data information corresponding to the data amount reaching the unit data amount.
Communication access evaluation, namely through a communication access evaluation factor acquisition module, the system can evaluate the effect of communication access by utilizing information in the historical record data. The communication access evaluation factor takes the factors such as the data quantity, time data information, the number of unit time which is passed, the number of unit data quantity which is obtained and the like into consideration, and calculates the evaluation factor of the communication access through a formula. This helps the decision maker to know the quality and performance of the communication access.
And the communication thread management is that the communication connection thread establishment module in the scheme is used for determining the time for establishing communication thread connection according to the communication access evaluation factor and disconnecting the communication thread connection after the current low-carbon energy data transmission backup is completed. Thus, the utilization of communication resources can be optimized, and the stability and reliability of data transmission are ensured.
And finally, the scheme describes how to repeat the process to finish the data backup of each round. This means that the system can periodically acquire and back up low carbon energy data to ensure the integrity and availability of the data.
In general, the technical effect of the technical scheme is to realize the effective acquisition of low-carbon energy data, the evaluation and management of communication access and the automatic process of data backup. This helps to optimize the processing and utilization of low carbon energy data, improving the efficiency and reliability of data management.
Specifically, the communication connection thread establishment module includes:
The evaluation factor extraction module is used for extracting the communication access evaluation factors;
The communication access evaluation parameter acquisition module is used for acquiring communication access evaluation parameters by utilizing the communication access evaluation factors; the communication access evaluation parameters are obtained through the following formula:
Wherein S represents a communication access evaluation parameter; q 0 represents a preset factor reference value; s 0 represents a preset parameter reference value; q represents a communication access evaluation factor;
the thread connection establishment execution module is used for establishing communication thread connection when the communication access evaluation parameter exceeds a preset parameter threshold;
The data backup monitoring module is used for monitoring whether the backup of the currently acquired unrepeated low-carbon energy data is completed or not in real time after the communication thread connection is established;
and the communication disconnection execution module is used for disconnecting the communication thread after the backup of the currently acquired unrepeated low-carbon energy data is completed.
The technical effects of the technical scheme are as follows: and the system can extract the communication access evaluation factors and compare the communication access evaluation factors with preset reference values and reference values through an evaluation factor extraction module and a communication access evaluation parameter acquisition module. In this way, the system can evaluate the quality of the communication access in real time, and determine whether the preset parameter threshold is met.
The thread connection establishment execution module is responsible for deciding whether to establish communication thread connection according to the actual value of the communication access evaluation parameter, not just the preset value. Such dynamic management may automatically establish or disconnect communication threads based on changes in communication quality to maintain stability and performance of the communication.
And the data backup monitoring module is used for monitoring whether the backup of the currently acquired unrepeated low-carbon energy data is completed or not in real time. This ensures the integrity and availability of the data, preventing loss or corruption of the data.
And the automatic communication disconnection is that the communication disconnection execution module is responsible for disconnecting the communication thread after the backup of the currently acquired unrepeated low-carbon energy data is completed. This ensures efficient use of communication resources and avoids unnecessary wastage of communication thread connections.
In general, the technical effect of this technical solution is to implement real-time quality assessment and dynamic management of communication access, and monitoring of data backup and management of automated communication thread connections. This helps to optimize the use of communication resources, ensure the integrity and availability of data, and improve the stability and efficiency of communication access. This is critical to handling low carbon energy data and ensuring timely backup.
The specific workflow of the data management system specifically comprises:
firstly, accessing low-carbon energy data through a data access module, forming low-carbon energy data backup, searching stored low-carbon energy data, and obtaining the actual value of the low-carbon energy data.
And then, the searched low-carbon energy data is called and compared with the backed-up low-carbon energy data, and a comparison result is determined.
And finally, analyzing and evaluating the determined comparison result to obtain a comparison result, determining an analysis report corresponding to the comparison result based on the comparison result, determining whether the low-carbon energy data is tampered or lost, if the comparison result is consistent, proving that the low-carbon energy data is not tampered or lost, if the comparison result is inconsistent, maliciously tampered or lost, determining an abnormal point of the low-carbon energy data, calling the corresponding data from the backup data according to the abnormal point to modify the data, ensuring the integrity of the data, avoiding the risk of losing or being tampered, and facilitating the management of the low-carbon energy data.
The anti-theft system specifically comprises:
the network monitoring module is used for carrying out real-time monitoring and detection on environment data and network security of the industrial park network and carrying out real-time detection on low-carbon energy data intrusion lines and network intrusion behaviors.
The data protection module is used for protecting stored low-carbon energy data, protecting the data transmission and reception in real time, ensuring that the low-carbon energy data is more carefully protected, and transmitting signals to the alarm module to alarm when the network is attacked during the reception and the transmission of the low-carbon energy data, downloading the data and carrying out network disconnection processing on the internet, avoiding data loss and further ensuring the data integrity.
The network evaluation module is used for acquiring network environment data, evaluating the environment data and network safety of the industrial park network in real time, feeding back the situation to the alarm module when the risk exists, closing the network of the industrial park, avoiding the risk of stealing and damaging the low-carbon energy data due to the risk of the network safety, and ensuring the safety of the low-carbon energy data.
Real-time monitoring of environmental data and network security of an industrial park network specifically comprises:
Firstly, setting the network of an industrial park as an intranet and an extranet, connecting the intranet and the extranet through an entity network card, and establishing two independent virtual environments.
And then acquiring network data of the industrial park, carrying out verification analysis on the acquired network data, judging whether the network data is abnormal, if so, judging the abnormal data, and screening whether the intrusion behavior exists.
If the intrusion behavior exists, the attack behavior, the intrusion instruction or the execution parameter in the whole intrusion process are collected, the collected data are analyzed, whether the attack can threaten the stored low-carbon energy data is confirmed, if the threat exists, a network disconnection decision is made, an alarm signal is sent to the background, if the threat does not exist, corresponding network maintenance is carried out, the safety of the low-carbon energy data storage is ensured, the risks of tampering and theft are avoided, meanwhile, the corresponding intrusion behavior is confirmed, corresponding measures are made according to the intrusion behavior, and the normal transmission and the reception of the data are ensured.
Real-time detection of low-carbon energy data intrusion lines and network intrusion behaviors comprises the following steps:
And detecting whether the network loopholes exist or not through a loophole detection program.
And detecting whether network intrusion exists through an intrusion detection program.
And detecting whether the network virus exists or not through a virus detection program.
In order to better demonstrate the operation flow of the low-carbon energy data access system for the industrial park, the embodiment provides a use method of the low-carbon energy data access system for the industrial park, which comprises the following steps:
Step one: the method comprises the steps of receiving and uploading low-carbon energy data of an industrial park in real time, screening the low-carbon energy data, avoiding bad and missing of the received low-carbon energy data, classifying the screened low-carbon energy data, storing the classified low-carbon energy data respectively to form a low-carbon energy database, generating a corresponding data catalog, and facilitating subsequent searching and transferring of the data, wherein searching is carried out through the catalog, so that searching and transferring efficiency is higher.
Step two: accessing stored low-carbon energy data and forming low-carbon energy data backup, periodically searching the stored low-carbon energy data to obtain the actual value of the low-carbon energy data, calling the searched low-carbon energy data, comparing the searched low-carbon energy data with the backed-up low-carbon energy data, determining a comparison result, analyzing and evaluating the determined comparison result to obtain the comparison result, determining whether the low-carbon energy data is tampered or lost, realizing the periodic checking of the data in the low-carbon energy database, ensuring the effectiveness of the low-carbon energy data, and timely correcting the occurrence of the deficiency or tampering, thereby further ensuring the integrity of the data.
Step three: the SAM security module is used for respectively encrypting the accessed low-carbon energy data and the backed-up low-carbon energy data and forming corresponding decryption passwords, when the low-carbon energy data is required to be called, the low-carbon energy data is called through the decryption passwords, the time of calling the current low-carbon energy data and the type of the called low-carbon energy data are recorded, alarm information is received, alarm signals are sent, the calling condition of the low-carbon energy database is conveniently known, the information of a caller is recorded, and the use safety of the low-carbon energy database is ensured.
Step four: after the low-carbon energy data is accessed, the environment data and the network security of the industrial park network are monitored in real time, the environment data and the network security of the industrial park network are evaluated in real time while the network installation is monitored, whether the network is invaded or not is judged, if the invasion is generated, whether the invasion can threaten the stored low-carbon energy data is confirmed, if the threat is generated, a network breaking decision is made, an alarm signal is sent to the background, if the threat is not generated, the detection of network loopholes and network viruses is carried out, corresponding network maintenance is carried out according to the detection result, the safety of the low-carbon energy data storage is ensured, the risks of falsification and theft are avoided, the corresponding invasion is confirmed, corresponding measures are taken according to the invasion, and the normal transmission and the reception of the data are ensured.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A low carbon energy data access system for industry garden, its characterized in that: comprising the following steps:
the data collection system is used for receiving and uploading low-carbon energy data of the industrial park in real time, screening the received low-carbon energy data, uploading the screened effective low-carbon energy data, classifying and respectively storing the uploaded low-carbon energy data to form a low-carbon energy database, and generating a corresponding low-carbon energy data catalog;
The data management system is used for accessing the stored low-carbon energy data and forming low-carbon energy data backup, comparing the stored low-carbon energy data with the backed-up low-carbon energy data, and analyzing the comparison result to determine whether the low-carbon energy data is tampered or stolen;
The central processing unit is used for respectively encrypting the accessed low-carbon energy data and the backed-up low-carbon energy data through the SAM security module, forming a corresponding decryption password, receiving the decryption password of the user, calling the low-carbon energy data according to the decryption password of the user, recording the time when the user calls the low-carbon energy data and the type of the called low-carbon energy data, receiving alarm information and sending an alarm signal;
The anti-theft system is used for monitoring environment data and network safety of the industrial park network in real time, protecting stored low-carbon energy data, protecting transmission and reception of the low-carbon energy data in real time, evaluating the environment data and the network safety of the industrial park network in real time, feeding back risk to the alarm module, and performing off-line treatment on the industrial park network;
The data management system specifically comprises:
The data access module is used for accessing the low-carbon energy data stored by the data storage module and forming low-carbon energy data backup;
The data comparison module is used for comparing the low-carbon energy data in the storage module with the backed-up low-carbon energy data and transmitting the comparison result to the analysis module;
the data analysis module is used for analyzing the result compared by the comparison module and determining whether the low-carbon energy data is tampered or stolen;
a data access module comprising:
The historical record data calling module is used for calling historical record data of the history obtained low-carbon energy data;
the first data information acquisition module is used for acquiring data information of the low-carbon energy data obtained in unit time from the historical record data; the data information comprises the data quantity and the data variation of the low-carbon energy data obtained in unit time;
The second data information acquisition module is used for acquiring time data information corresponding to the unit data volume of the low-carbon energy data from the historical record data, wherein the time data information comprises time length and time change length corresponding to the unit data volume of the low-carbon energy data;
The communication access evaluation factor acquisition module is used for acquiring the communication access evaluation factor by utilizing the data information of the low-carbon energy data acquired in the unit time in the historical record data and the time data information of the time data corresponding to the unit data volume of the low-carbon energy data acquired in the historical record data, wherein the communication access evaluation factor is acquired by the following formula:
Wherein Q represents a communication access evaluation factor; c 0 represents the data value corresponding to the unit data amount; c p represents the average data amount of the low-carbon energy data corresponding to unit time in the historical record data; n represents the number of unit time that have elapsed in the history data; m represents the number of the obtained unit data amount in the history data; c i represents the data amount of the low-carbon energy data corresponding to the ith unit time; t i represents the acquisition time length corresponding to the ith unit data quantity; e represents a constant;
The communication connection thread establishing module is used for determining the time for establishing communication thread connection by the data access module by utilizing the communication access evaluation factor, and disconnecting the communication thread connection after the current low-carbon energy data transmission backup is completed;
A communication connection thread establishment module comprising:
The evaluation factor extraction module is used for extracting the communication access evaluation factors;
The communication access evaluation parameter acquisition module is used for acquiring communication access evaluation parameters by utilizing the communication access evaluation factors; the communication access evaluation parameters are obtained through the following formula:
Wherein S represents a communication access evaluation parameter; q 0 represents a preset factor reference value; s 0 represents a preset parameter reference value; q represents a communication access evaluation factor;
the thread connection establishment execution module is used for establishing communication thread connection when the communication access evaluation parameter exceeds a preset parameter threshold;
The data backup monitoring module is used for monitoring whether the backup of the currently acquired unrepeated low-carbon energy data is completed or not in real time after the communication thread connection is established;
and the communication disconnection execution module is used for disconnecting the communication thread after the backup of the currently acquired unrepeated low-carbon energy data is completed.
2. A low carbon energy data access system for an industrial park as claimed in claim 1 wherein: the data collection system specifically comprises:
The data acquisition module is used for receiving and uploading the low-carbon energy data of the industrial park in real time and screening the low-carbon energy data;
The data classification module is used for classifying the uploaded low-carbon energy data, wherein the types of the low-carbon energy data comprise wind energy data, photovoltaic energy data, nuclear energy data and hydrogen energy data;
and the data storage module is used for respectively storing the classified low-carbon energy data to form a low-carbon energy database and generating a corresponding data catalog, and the data storage module adopts a RAM (random access memory).
3. A low carbon energy data access system for an industrial park as claimed in claim 2 wherein: the data acquisition module comprises:
Collecting low-carbon energy data of each category of an industrial park in real time;
screening low-carbon energy data of each category of the industrial park according to the low-carbon energy data characteristics, and removing bad data;
Acquiring corresponding low-carbon energy data characteristics, and extracting the acquired low-carbon energy data of each category;
Comparing all the collected low-carbon energy data with the low-carbon energy data characteristics, wherein the low-carbon energy data characteristics are effective data, and the low-carbon energy data characteristics are bad data;
reject bad data, and upload the remaining effective data continuously.
4. A low carbon energy data access system for an industrial park as claimed in claim 1 wherein: the central processing unit specifically includes:
The encryption module is used for respectively encrypting the data in the low-carbon energy database and the backup data through the SAM security module and forming a corresponding decryption password;
The calling module is used for receiving the decryption password of the user, calling the low-carbon energy data according to the decryption password of the user, and recording the time of calling the low-carbon energy data by the current user and the type of the called low-carbon energy data;
and the alarm module is used for receiving the alarm information and sending an alarm instruction.
5. A low carbon energy data access system for an industrial park as claimed in claim 1 wherein: the specific workflow of the data management system specifically comprises:
Accessing the low-carbon energy data through a data access module, forming a low-carbon energy data backup, searching the stored low-carbon energy data, and obtaining the actual value of the low-carbon energy data;
The searched low-carbon energy data are called and compared with the backed-up low-carbon energy data, and a comparison result is determined;
And analyzing and evaluating the determined comparison result, obtaining a comparison result, determining an analysis report corresponding to the comparison result based on the comparison result, determining whether the low-carbon energy data is tampered or lost, if the comparison result is consistent, proving that the low-carbon energy data is not tampered or lost, if the comparison result is inconsistent, maliciously tampering or losing the low-carbon energy data, determining an abnormal point of the low-carbon energy data, and calling corresponding data from the backup data according to the abnormal point to modify.
6. A low carbon energy data access system for an industrial park as claimed in claim 1 wherein: the anti-theft system specifically comprises:
the network monitoring module is used for carrying out real-time monitoring and detection on environment data and network security of an industrial park network and carrying out real-time detection on low-carbon energy data intrusion lines and network intrusion behaviors, and comprises the following components: detecting whether a network vulnerability exists through a vulnerability detection program, detecting whether a network intrusion exists through an intrusion detection program, and detecting whether a network virus exists through a virus detection program;
The data protection module is used for protecting the stored low-carbon energy data and protecting the transmission and the reception of the data in real time;
The network evaluation module is used for acquiring network environment data, evaluating the environment data and network security of the industrial park network in real time, feeding back the risk to the alarm module, and closing the industrial park network.
7. A method of using the low carbon energy data access system for an industrial park of claim 6, wherein: the method comprises the following steps:
Step one: the method comprises the steps of receiving and uploading low-carbon energy data of an industrial park in real time, screening the low-carbon energy data, classifying the screened low-carbon energy data, and respectively storing the classified low-carbon energy data;
Step two: accessing the stored low-carbon energy data and forming a low-carbon energy data backup, and periodically searching the stored low-carbon energy data to determine whether the low-carbon energy data is tampered or lost;
Step three: the SAM security module is used for respectively encrypting the accessed low-carbon energy data and the backed-up low-carbon energy data and forming corresponding decryption passwords, when the low-carbon energy data is required to be called, the low-carbon energy data is called through the decryption passwords, and the time of calling the current low-carbon energy data and the type of the called low-carbon energy data are recorded;
step four: after the low-carbon energy data is accessed, the environment data and the network safety of the industrial park network are monitored in real time, and the environment data and the network safety of the industrial park network are evaluated in real time while the network installation is monitored.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| BR112015016128A2 (en) * | 2014-06-09 | 2019-10-08 | Sicpa Security Inks & Systems Usa Inc | system and method for the creation of data related to oil and gas assets and non-transient computer readable media. |
| CN115225321A (en) * | 2022-06-13 | 2022-10-21 | 南京写意信息科技有限公司 | Financial data anti-theft alarm system and method based on big data |
| CN115529169A (en) * | 2022-09-16 | 2022-12-27 | 南京林风智巡科技有限公司 | Network safety system based on artificial intelligence |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| BR112017023869A2 (en) * | 2015-05-04 | 2018-07-24 | Kamran Hasan Syed | computer security system that processes a security event; virtual security system; method for growing interactive intelligence; and virtual threat intelligence identification, integration and analysis system |
| CA2968710A1 (en) * | 2016-05-31 | 2017-11-30 | Valarie Ann Findlay | Security threat information gathering and incident reporting systems and methods |
-
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| BR112015016128A2 (en) * | 2014-06-09 | 2019-10-08 | Sicpa Security Inks & Systems Usa Inc | system and method for the creation of data related to oil and gas assets and non-transient computer readable media. |
| CN115225321A (en) * | 2022-06-13 | 2022-10-21 | 南京写意信息科技有限公司 | Financial data anti-theft alarm system and method based on big data |
| CN115529169A (en) * | 2022-09-16 | 2022-12-27 | 南京林风智巡科技有限公司 | Network safety system based on artificial intelligence |
Non-Patent Citations (1)
| Title |
|---|
| 局域网的安全分析及防范措施;徐淑梅, 宋昉, 南宏师;西北民族大学学报(自然科学版);20040930(03);全文 * |
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