CN114978562A - Encryption transmission method, motor monitoring system and remote monitoring system - Google Patents
Encryption transmission method, motor monitoring system and remote monitoring system Download PDFInfo
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- CN114978562A CN114978562A CN202110216470.1A CN202110216470A CN114978562A CN 114978562 A CN114978562 A CN 114978562A CN 202110216470 A CN202110216470 A CN 202110216470A CN 114978562 A CN114978562 A CN 114978562A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
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Abstract
The disclosure relates to an encrypted transmission method, a motor monitoring system and a remote monitoring system. Disclosed is an encryption transmission method for encrypting and transmitting real-time measurement data of a motor, the method comprising: generating a first pseudorandom sequence P (P) using a first seed 1 ，p 2 ,..); grouping real-time measurement data to be transmitted into groups of N, where N is an integer greater than 1 and is determined in association with a property of the first pseudorandom sequence P; based on the first pseudo-random sequence P (P) 1 ，p 2 ,..), selecting partial data to be encrypted in each group of real-time measurement data to be transmitted; transmitting the encrypted real-time measurement data; grouping the received real-time measurement data into a group of N; and based on the first pseudo-random sequence P (P) 1 ，p 2 ,..) and selecting corresponding partial data for decryption from each set of received real-time measurement data. A motor monitoring system and a remote monitoring system adopting the method are also disclosed.
Description
Technical Field
The present disclosure relates to monitoring of permanent magnet synchronous machines. And more particularly, to an encryption transmission method for encrypting real-time measurement data of a motor for transmission, and a motor monitoring system and a remote monitoring system using the same.
Background
When monitoring the running state of the permanent magnet synchronous motor, real-time measurement data of the motor need to be transmitted in real time. For example, it is necessary to transmit real-time measurement data of the motor at intervals (e.g., seconds) from the motor monitoring system for monitoring such data to the remote monitoring system, so that such data is stored or displayed on the remote monitoring system, and further processed and analyzed.
At present, the transmission of real-time measurement data to the electric machine is not encrypted. This may lead to a number of safety hazards. Therefore, there is a need for a secure monitoring system that can transmit real-time measurement data of an electric machine in an encrypted manner.
Most of the existing computer encryption technologies are used for encrypting information such as picture data and document data, but are not suitable for encrypting industrial-grade real-time data. For an industrial embedded system which needs to transmit a large amount of real-time data, the encryption technology widely adopted in the field of computers at present is too complex in calculation and too high in memory cost, which cannot be borne by the embedded system.
There is therefore a need for new techniques.
Disclosure of Invention
An object of the present disclosure is to provide an encryption transmission method for encrypting real-time measurement data of a motor for transmission.
According to an aspect of the present disclosure, there is provided an encrypted transmission method for encrypted transmission of real-time measurement data of an electric machine, the method including: generating a first pseudorandom sequence P (P) using a first seed 1 ，p 2 ,..); grouping real-time measurement data to be transmitted into groups of N, where N is an integer greater than 1 and is determined in association with a property of the first pseudorandom sequence P; based on the first pseudo-random sequence P (P) 1 ，p 2 ,..), selecting partial data to be encrypted in each group of real-time measurement data to be transmitted; transmitting the encrypted real-time measurement data; grouping the received real-time measurement data into a group of N; and based on the saidA pseudo-random sequence P (P) 1 ，p 2 ,..) and selecting corresponding partial data for decryption from each set of received real-time measurement data.
It is another object of the present disclosure to provide a motor monitoring system and a remote monitoring system for encrypted transmission of real-time measurement data of a motor.
According to another aspect of the present disclosure, there is provided a motor monitoring system for monitoring operational data of a motor, the motor monitoring system being configured to: acquiring real-time measurement data of the motor when the motor operates; encrypting real-time measurement data by: generating a first pseudorandom sequence P (P) using a first seed 1 ，p 2 ,..); grouping real-time measurement data to be transmitted into a group of N, where N is an integer greater than 1 and is determined in association with a property of the first pseudorandom sequence P; and based on the first pseudo-random sequence P (P) 1 ，p 2 ,..), selecting partial data to be encrypted in each group of real-time measurement data to be transmitted; and transmitting the encrypted real-time measurement data to a remote monitoring system.
According to yet another aspect of the present disclosure, there is provided a remote monitoring system for monitoring operational data of a motor, characterized in that the remote monitoring system is configured to: receiving encrypted real-time measurement data of the motor; decrypting the received real-time measurement data by: generating a first pseudorandom sequence P (P) using a first seed 1 ，p 2 ,..); grouping the received real-time measurement data into groups of N, where N is an integer greater than 1 and is determined in association with a property of the first pseudorandom sequence P; and based on the first pseudo-random sequence P (P) 1 ，p 2 ,..), selecting corresponding partial data from each group of received real-time measurement data for decryption; and stores the decrypted real-time measurement data.
Other features of the present disclosure and advantages thereof will become more apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.
The present disclosure may be more clearly understood from the following detailed description, taken with reference to the accompanying drawings, in which:
fig. 1 shows a flow chart of an encrypted transmission method according to an example embodiment of the present disclosure.
Fig. 2 shows a flowchart of an encrypted transmission method according to another exemplary embodiment of the present disclosure.
FIG. 3 shows a schematic block diagram of a motor monitoring system and a remote monitoring system according to an example embodiment of the present disclosure.
Note that in the embodiments described below, the same reference numerals are used in common between different drawings to denote the same portions or portions having the same functions, and a repetitive description thereof will be omitted. In some cases, similar reference numbers and letters are used to denote similar items, and thus, once an item is defined in one figure, it need not be discussed further in subsequent figures.
For convenience of understanding, the positions, dimensions, ranges, and the like of the respective structures shown in the drawings and the like do not necessarily indicate actual positions, dimensions, ranges, and the like. Therefore, the present disclosure is not limited to the positions, sizes, ranges, and the like disclosed in the drawings and the like.
Detailed Description
Various exemplary embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. That is, the structures and methods herein are shown by way of example to illustrate different embodiments of the structures and methods of the present disclosure. Those skilled in the art will understand, however, that they are merely illustrative of exemplary ways in which the disclosure may be practiced and not exhaustive. Furthermore, the figures are not necessarily to scale, some features may be exaggerated to show details of particular components.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
Fig. 1 shows a flow diagram of an encrypted transmission method 100 according to an example embodiment of the present disclosure.
The encrypted transmission method 100 begins at block 101 for encrypting real-time measurement data of a motor for transmission.
At block 102, a first pseudorandom sequence P (P) is generated using a first seed 1 ，p 2 ,...). For example, a linear congruence method may be used to generate the pseudo-random sequence. The generation of the pseudo-random sequence using the predetermined seed is a conventional method in the computer field and will not be described in detail herein. Those skilled in the art will appreciate that appropriate methods may be selected as desired to generate the pseudo-random sequence. In a preferred embodiment, the first seed and for generating the first pseudo-random sequence P (P) may be determined at least partly depending on the type, parameters and application scenario of the motor 1 ，p 2 ,..).
At block 104, real-time measurement data of the motor is acquired. The real-time measurement data of the motor may be data associated with an operating state of the motor including, but not limited to, a stator voltage, a stator current, a power, a torque, a rotor speed, a rotor temperature, etc. of the motor. These data may be measured by the motor monitoring system, for example, every few seconds, and then transmitted to the remote monitoring system, thereby enabling the user to monitor the operating state of the motor in real time.
At block 106, the real-time measurement data to be transmitted acquired at block 104 is grouped into groups of N. Wherein N is an integer greater than 1 and is related to a first pseudorandom sequence P (P) 1 ，p 2 ,..) is determined in association with the other.
At block 108, based on the first pseudo-random sequence P (P) 1 ，p 2 ,..) and selecting a portion of the data to be encrypted in each set of real-time measurement data to be transmitted. Based on a first pseudo-random sequence P (P) 1 ，p 2 ,..) to select only part of the N data for encryption, the encryption transmission can be realized with lower computational complexity, thereby significantly improving the security of data transmission. In a preferred embodiment, one data in each group of real-time measurement data to be transmitted may be selected for encryption. In some embodiments, two or more (but not all) of the data in each set of real-time measurement data to be transmitted may be selected for encryption as desired.
May be based on a first pseudo-random sequence P (P) 1 ，p 2 ,..) and the method of selecting portions of the data in each set of real-time measurement data to be transmitted. In a preferred embodiment, at block 106, N may be determined as a first pseudorandom sequence P (P) 1 ，p 2 ,..) is used. I.e. a first pseudo-random sequence P (P) 1 ，p 2 ,..) is generated such that p 1 ，p 2 ,.. each is less than or equal to N. In this way, the partial data to be encrypted can be conveniently selected on the basis of pi for the ith group of real-time measurement data to be transmitted, where i is an integer greater than or equal to 1.
At block 110, the encrypted real-time measurement data is transmitted. For example, encrypted real-time measurement data is transmitted from a motor monitoring system for monitoring these data via a wired or wireless connection to a remote monitoring system for processing these data. The encrypted real-time measurement data may be transmitted in real-time or may be transmitted at certain time intervals.
At block 112, real-time measurement data for the motor is received.
At block 114, based on the first pseudo-random sequence P (P) 1 ，p 2 ,..) and selecting corresponding partial data for decryption from each set of received real-time measurement data.
In a preferred embodiment, for each set of real-time measurement data to be transmitted, the pi-th data in the ith set is selected for encryption at block 108, and for each set of received real-time measurement data, the pi-th data in the ith set is correspondingly selected for decryption at block 114. Wherein i is an integer greater than or equal to 1.
In a preferred embodiment, the selected partial data may be linearly encrypted by a linear encryption algorithm and linearly decrypted by a corresponding linear decryption algorithm. The use of the linear encryption/decryption algorithm can further reduce the computational complexity and ensure that data can be quickly encrypted/decrypted, thereby realizing the real-time transmission of a large amount of real-time measurement data.
For example, in a preferred embodiment, in encryption, for each set of real-time measurement data to be transmitted, each of the selected partial data in the ith set may be added or multiplied by a i And at decryption, for each set of received real-time measurement data, subtracting or dividing each of the selected partial data in the i-th set by a accordingly i . Where i is an integer greater than or equal to 1, an encryption factor A (a) 1 ，a 2 ,..) is a predetermined set of values. Encryption factor A (a) 1 ，a 2 ,..) may be predetermined and stored in the motor monitoring system used to transmit the data and the remote monitoring system used to receive the data. In some embodiments, the encryption factor A (a) 1 ，a 2 ,..) may be a set of the same values or may be a set of different values. In some embodiments, the encryption factor A (a) 1 ，a 2 ,..) may be based, at least in part, on a first pseudorandom sequence P (P) 1 ，p 2 ,..) is determined.
At block 116, the decrypted real-time measurement data is stored. In a preferred embodiment, the decrypted real-time measurement data may be displayed to the user in the form of a numerical value, a curve, a graph or the like on a display device, thereby enabling the user to visually see the real-time operating state of the motor. In a further preferred embodiment, the decrypted real-time measurement data may be further processed and analyzed and the analysis results are displayed to the user on a display device.
At block 118, the encrypted transmission method 100 ends.
Fig. 2 shows a flow diagram of an encrypted transmission method 200 according to another example embodiment of the present disclosure. For the sake of brevity, steps of the encryption transmission method 200 similar to the encryption transmission method 100 shown in fig. 1 will not be described in detail below.
The encrypted transmission method 200 begins at block 201 for encrypting real-time measurement data of a motor for transmission.
At block 202, a first pseudorandom sequence P (P) is generated using the first seed, the second seed, and the third seed, respectively 1 ，p 2 ,..), and a second pseudorandom sequence Q (Q) 1 ，q 2 ,..) and a third pseudorandom sequence R (R) 1 ，r 2 ,...). Wherein the first seed, the second seed, and the third seed are different from each other.
In a preferred embodiment, the same method may be used to generate the first pseudo-random sequence P (P) 1 ，p 2 ,..), and a second pseudorandom sequence Q (Q) 1 ，q 2 ,..) and a third pseudorandom sequence R (R) 1 ，r 2 ,..) is used. In a preferred embodiment, the same method may be used to generate the first pseudorandom sequence P (P) 1 ，p 2 ,..), and a second pseudorandom sequence Q (Q) 1 ，q 2 ,..) and a third pseudorandom sequence R (R) 1 ，r 2 ,...). In a preferred embodiment, at least one of the first seed, the second seed and the third seed and for generating the first pseudo-random sequence P (P) may be determined at least partly depending on, for example, the type, parameters and application scenario of the motor 1 ，p 2 ,..), a second pseudorandomSequence Q (Q) 1 ，q 2 ,..) and a third pseudorandom sequence R (R) 1 ，r 2 ,..) is used.
At block 204, real-time measurement data of the motor is acquired. At block 206, the real-time measurement data to be transmitted acquired at block 104 is grouped into groups of N. Wherein N is an integer greater than 1 and is related to a first pseudorandom sequence P (P) 1 ，p 2 ,..) is determined in association with the other.
At block 208, based on the first pseudo-random sequence P (P) 1 ，p 2 ,..) and selecting a portion of the data to be encrypted in each set of real-time measurement data to be transmitted.
At block 209, based at least in part on the second pseudo-random sequence Q (Q) 1 ，q 2 ,..) and/or a third pseudorandom sequence R (R) 1 ，r 2 ,..) for example, selected portions of data in each set of real-time measurement data to be transmitted are encrypted.
At block 210, the encrypted real-time measurement data is transmitted. At block 212, real-time measurement data of the motor is received.
At block 214, based on the first pseudo-random sequence P (P) 1 ，p 2 ,..) and selecting corresponding partial data for decryption from each set of received real-time measurement data.
At block 215, a second pseudo-random sequence Q (Q) is accordingly based at least in part 1 ，q 2 ,..) and/or a third pseudorandom sequence R (R) 1 ，r 2 ,..) for decrypting selected portions of each set of received real-time measurement data.
Based at least in part on a second pseudo-random sequence Q (Q) 1 ，q 2 ,..) and/or a third pseudorandom sequence R (R) 1 ，r 2 ,..) to encrypt/decrypt selected portions of data, the randomness of the data encryption can be enhanced, thereby improving the security of the data transmission.
In a preferred embodiment, the second pseudo-random sequence Q (Q) may be based at least in part on 1 ，q 2 ,..) and/orThree pseudo-random sequences R (R) 1 ，r 2 ,..) the selected portion of data is linearly encrypted/decrypted by a linear encryption/decryption algorithm. Thus, the security of data transmission can be improved, and meanwhile, the lower calculation complexity can be realized.
For example, in a preferred embodiment, in encryption, for each set of real-time measurement data to be transmitted, each of the selected partial data in the ith set may be added or multiplied by q i And upon decryption, for each set of received real-time measurement data, subtracting or dividing each of the selected partial data in the i-th set by q accordingly i . In a further preferred embodiment, in the encryption, for each group of real-time measurement data to be transmitted, each of the selected partial data in the i-th group can be multiplied by q i Then r is added i And when decrypting, for each set of received real-time measurement data, subtracting r from each of the selected partial data in the ith set accordingly i Then divided by q i . Wherein i is an integer greater than or equal to 1.
At block 216, the decrypted real-time measurement data is stored. In a preferred embodiment, the decrypted real-time measurement data may be displayed to the user in the form of a numerical value, a curve, a graph or the like on a display device, thereby enabling the user to visually see the real-time operating state of the motor. In a further preferred embodiment, the decrypted real-time measurement data may be further processed and analyzed and the analysis results are displayed to the user on a display device.
At block 218, the encrypted transmission method 200 ends.
The encryption transmission method according to the present disclosure may be implemented in various appropriate manners such as software, hardware, a combination of software and hardware, and the like.
Fig. 3 shows a schematic block diagram of a motor monitoring system 310 and a remote monitoring system 320 according to an example embodiment of the present disclosure.
As shown in fig. 3, a motor monitoring system 310 is coupled to the motor 301 and is communicatively coupled with a remote monitoring system 320. The motor monitoring system 310 is configured to monitor operation data of the motor 301 when the motor 301 is running, and obtain real-time measurement data of the motor 301. The motor monitoring system 310 encrypts the acquired real-time measurement data and transmits the encrypted real-time measurement data to the remote monitoring system 320.
Specifically, the motor monitoring system 310 may encrypt the real-time measurement data to be transmitted by: generating a first pseudorandom sequence P (P) using a first seed 1 ，p 2 ,..); grouping real-time measurement data to be transmitted into a group of N, wherein N is an integer greater than 1 and is determined in association with a property of a first pseudorandom sequence P; and based on a first pseudo-random sequence P (P) 1 ，p 2 ,..) and selecting a portion of the data to be encrypted in each set of real-time measurement data to be transmitted.
The motor monitoring system 310 may continuously monitor the operating state of the motor 301 to acquire real-time measurement data while encrypting and transmitting the acquired real-time measurement data in parallel. Alternatively, the motor monitoring system 310 may alternately acquire real-time measurement data of the motor 301 and encrypt and transmit it. For example, the motor monitoring system 310 may acquire a set of real-time measurement data for the motor 301 every few seconds, then encrypt it and transmit it to the remote monitoring system 320.
In a preferred embodiment, the motor monitoring system 310 may be configured to determine N as the maximum possible for each term in the first pseudo-random sequence P and, for each set of real-time measurement data to be transmitted, to select the P-th group in the i-th group i The data is encrypted. Wherein i is an integer greater than or equal to 1.
In a preferred embodiment, the motor monitoring system 310 may be configured to linearly encrypt the selected portion of data via a linear encryption algorithm.
In a preferred embodiment, the motor monitoring system 310 may be further configured to generate a second pseudorandom sequence Q (Q) using a second seed different from the first seed 1 ，q 2 ,..), and is based, at least in part, on a second pseudorandom sequence Q (Q) 1 ，q 2 ,..) selected portions of each set of real-time measurement data to be transmitted are encrypted. In a further preferred embodiment, the motor monitoring system 310 may be configured to, when encrypted, add or multiply q to each of the selected partial data in the i-th group for each group of real-time measurement data to be transmitted i . Wherein i is an integer greater than or equal to 1.
In a further preferred embodiment, the motor monitoring system 310 may be further configured to generate a third pseudo-random sequence R (R) using a third seed different from the first seed and the second seed 1 ，r 2 ,..), and is based, at least in part, on the third pseudorandom sequence R (R) 1 ，r 2 ,..) selected portions of each set of real-time measurement data to be transmitted are encrypted. In a further preferred embodiment, the motor monitoring system 310 may be configured to, when encrypted, multiply each of the selected partial data of the i-th group by q for each group of real-time measurement data to be transmitted i Then r is added i . Wherein i is an integer greater than or equal to 1.
In a preferred embodiment, the motor monitoring system 310 may pre-generate the first pseudo-random sequence P (P) 1 ，p 2 ,..), a second pseudorandom sequence Q (Q) 1 ，q 2 ,..) and a third pseudorandom sequence R (R) 1 ，r 2 ,..) and store it in a memory device (not shown) of the motor monitoring system 310.
The remote monitoring system 320 is used for monitoring the operation data of the motor 301 when the motor 301 operates, so that a user can conveniently, intuitively and accurately monitor the operation state of the motor 301.
The remote monitoring system 320 may receive the real-time measurement data of the motor 301 from the motor monitoring system 310, decrypt the received encrypted real-time measurement data, and store the decrypted real-time measurement data in a memory (not shown) of the remote monitoring system 320 for further processing and analysis thereof. In a preferred embodiment, the remote monitoring system 320 may display the decrypted real-time measurement data to the user in the form of a numerical value, a curve, a graph, etc. on its display device (not shown).
Specifically, the remote monitoring system 320 may decrypt the received real-time measurement data by: generating a first pseudorandom sequence P (P) using a first seed 1 ，p 2 ,..); grouping the received real-time measurement data into a group of N, where N is an integer greater than 1 and is determined in association with a property of the first pseudorandom sequence P; and based on a first pseudo-random sequence P (P) 1 ，p 2 ,..) and selecting corresponding partial data for decryption from each set of received real-time measurement data.
In a preferred embodiment, the remote monitoring system 320 may be configured to determine N as the maximum possible for each entry in the first pseudorandom sequence P, and to select the pth in the ith group for each group of received real-time measurement data i The data is decrypted. Wherein i is an integer greater than or equal to 1.
In a preferred embodiment, the remote monitoring system 320 may be configured to linearly decrypt selected portions of the data via a linear decryption algorithm.
In a preferred embodiment, the remote monitoring system 320 may be further configured to generate a second pseudorandom sequence Q (Q) using a second seed different from the first seed 1 ，q 2 ,..), and is based, at least in part, on a second pseudorandom sequence Q (Q) 1 ，q 2 ,..) decrypt selected portions of each set of received real-time measurement data. In a further preferred embodiment, the remote monitoring system 320 may be configured to, upon decryption, subtract or divide each of the selected partial data in the ith group by q for each group of received real-time measurement data i . Wherein i is an integer greater than or equal to 1.
In a further preferred embodiment, the remote monitoring system 320 may be further configured to generate a third pseudo-random sequence R (R) using a third seed different from the first seed and the second seed 1 ，r 2 ,..), andbased at least in part on the third pseudo-random sequence R (R) 1 ，r 2 ,..) decrypt selected portions of each set of received real-time measurement data. In a further preferred embodiment, the remote monitoring system 320 may be configured to, upon decryption, subtract r from each of the selected partial data in the ith group for each group of received real-time measurement data i Then divided by q i . Wherein i is an integer greater than or equal to 1.
In a preferred embodiment, the remote monitoring system 320 may pre-generate the first pseudo-random sequence P (P) 1 ，p 2 ,..), and a second pseudorandom sequence Q (Q) 1 ，q 2 ,..) and a third pseudorandom sequence R (R) 1 ，r 2 ,..) and store it in a storage device (not shown) of the remote monitoring system 320.
The terms "front", "back", "top", "bottom", "over", "under" and the like in the description and in the claims, if any, are used for descriptive purposes and not necessarily for describing permanent relative positions. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are, for example, capable of operation in other orientations than those illustrated or otherwise described herein.
As used herein, the word "exemplary" means "serving as an example, instance, or illustration," and not as a "model" that is to be reproduced exactly. Any implementation exemplarily described herein is not necessarily to be construed as preferred or advantageous over other implementations. Furthermore, the disclosure is not limited by any expressed or implied theory presented in the preceding technical field, background, brief summary or the detailed description.
As used herein, the term "substantially" is intended to encompass any minor variation resulting from design or manufacturing imperfections, device or component tolerances, environmental influences, and/or other factors. The word "substantially" also allows for differences from a perfect or ideal situation due to parasitics, noise, and other practical considerations that may exist in a practical implementation.
In addition, the foregoing description may refer to elements or nodes or features being "connected" or "coupled" together. As used herein, unless expressly stated otherwise, "connected" means that one element/node/feature is directly connected to (or directly communicates with) another element/node/feature, either electrically, mechanically, logically, or otherwise. Similarly, unless expressly stated otherwise, "coupled" means that one element/node/feature may be mechanically, electrically, logically, or otherwise joined to another element/node/feature in a direct or indirect manner to allow for interaction, even though the two features may not be directly connected. That is, to be "coupled" is intended to include both direct and indirect connections of elements or other features, including connections that utilize one or more intermediate elements.
In addition, "first," "second," and like terms may also be used herein for reference purposes only and are thus not intended to be limiting. For example, the terms "first", "second", and other such numerical terms referring to structures or elements do not imply a sequence or order unless clearly indicated by the context.
It will be further understood that the terms "comprises/comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
In the present disclosure, the term "providing" is used in a broad sense to encompass all ways of obtaining an object, and thus "providing an object" includes, but is not limited to, "purchasing," "preparing/manufacturing," "arranging/setting," "installing/assembling," and/or "ordering" the object, and the like.
Those skilled in the art will appreciate that the boundaries between the above described operations merely illustrative. Multiple operations may be combined into a single operation, single operations may be distributed in additional operations, and operations may be performed at least partially overlapping in time. Moreover, alternative embodiments may include multiple instances of a particular operation, and the order of operations may be altered in various other embodiments. However, other modifications, variations, and alternatives are also possible. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. The various embodiments disclosed herein may be combined in any combination without departing from the spirit and scope of the present disclosure. It will also be appreciated by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (23)
1. An encrypted transmission method for encrypted transmission of real-time measurement data of an electric machine, the method comprising:
generating a first pseudorandom sequence P (P) using a first seed 1 ，p 2 ，...)；
Grouping real-time measurement data to be transmitted into a group of N, where N is an integer greater than 1 and is determined in association with a property of the first pseudorandom sequence P;
based on the first pseudo-random sequence P (P) 1 ，p 2 ,..), selecting partial data to be encrypted in each group of real-time measurement data to be transmitted;
transmitting the encrypted real-time measurement data;
grouping the received real-time measurement data into a group of N; and
based on the first pseudo-random sequence P (P) 1 ，p 2 ,..) and selecting corresponding partial data for decryption from each set of received real-time measurement data.
2. The method of claim 1,
determining N as the possible maximum of the terms in the first pseudo-random sequence P,
for each group of real-time measurement data to be transmitted, selecting the p < th > group in the i < th > group i The data is encrypted, and
for each group of received real-time measurement data, the pth in the ith group is selected accordingly i The decryption is performed on the data, and,
wherein i is an integer greater than or equal to 1.
3. The method of claim 1,
the selected partial data is linearly encrypted by a linear encryption algorithm and linearly decrypted by a corresponding linear decryption algorithm.
4. The method according to any one of claims 1-3, further comprising:
generating a second pseudorandom sequence Q (Q) using a second seed different from the first seed 1 ，q 2 ，...)；
Based at least in part on a second pseudo-random sequence Q (Q) 1 ，q 2 ,..) for encrypting and decrypting selected portions of data in each set of real-time measurement data to be transmitted and received.
5. The method of claim 4,
in the encryption, for each group of real-time measurement data to be transmitted, each of the selected partial data in the ith group is added or multiplied by q i And is and
upon decryption, for each set of received real-time measurement data, each of the selected partial data in the ith set is subtracted or divided by q accordingly i ，
Wherein i is an integer greater than or equal to 1.
6. The method of claim 4, further comprising:
generating a third pseudo-random sequence R (R) using a third seed different from the first seed and the second seed 1 ，r 2 ，...)；
Based at least in part on the third pseudo-random sequence R (R) 1 ，r 2 ,..) for encrypting and decrypting selected portions of data in each set of real-time measurement data to be transmitted and received.
7. The method of claim 6,
in the encryption, for each group of real-time measurement data to be transmitted, each of the selected partial data in the ith group is multiplied by q i Then r is added i And is and
upon decryption, for each set of received real-time measurement data, r is subtracted from each of the selected partial data in the ith set accordingly i Then divided by q i ，
Wherein i is an integer greater than or equal to 1.
8. The method of claim 6,
generating a first pseudo-random sequence P (P) using the same method 1 ，p 2 ,..), and a second pseudorandom sequence Q (Q) 1 ，q 2 ,..) and a third pseudorandom sequence R (R) 1 ，r 2 ,..) is used.
9. The method of claim 6,
determining at least one of a first seed, a second seed and a third seed and for generating a first pseudo-random sequence P (P) depending on the type, parameters and application scenario of the electric machine 1 ，p 2 ,..), and a second pseudorandom sequence Q (Q) 1 ，q 2 ,..) and a third pseudorandom sequence R (R) 1 ，r 2 ,..) of the same processAnd (4) seed preparation.
10. A motor monitoring system for monitoring operational data of a motor, the motor monitoring system configured to:
acquiring real-time measurement data of the motor when the motor runs;
encrypting the real-time measurement data by:
generating a first pseudorandom sequence P (P) using a first seed 1 ，p 2 ，...)；
Grouping real-time measurement data to be transmitted into a group of N, where N is an integer greater than 1 and is determined in association with a property of the first pseudorandom sequence P; and
based on the first pseudo-random sequence P (P) 1 ，p 2 ,..), selecting partial data to be encrypted in each group of real-time measurement data to be transmitted; and is
And transmitting the encrypted real-time measurement data to a remote monitoring system.
11. The motor monitoring system of claim 10, wherein the motor monitoring system is configured to:
determining N as the possible maximum of each term in the first pseudorandom sequence P, an
For each group of real-time measurement data to be transmitted, selecting the p < th > group in the i < th > group i The individual data is encrypted and the encryption is carried out,
wherein i is an integer greater than or equal to 1.
12. The motor monitoring system of claim 10,
the motor monitoring system is configured to linearly encrypt the selected portion of data via a linear encryption algorithm.
13. The motor monitoring system of any of claims 10-12, further configured to:
generating a second pseudorandom sequence Q (Q) using a second seed different from the first seed 1 ，q 2 ,..), and
based at least in part on a second pseudo-random sequence Q (Q) 1 ，q 2 ,..) of each group of real-time measurement data to be transmitted is encrypted.
14. The motor monitoring system of claim 13,
the motor monitoring system is configured to, when encrypted, add or multiply q to each of the selected partial data in the ith group for each group of real-time measurement data to be transmitted i ，
Wherein i is an integer greater than or equal to 1.
15. The motor monitoring system of claim 13, further configured to:
generating a third pseudo-random sequence R (R) using a third seed different from the first seed and the second seed 1 ，r 2 ,..), and
based at least in part on the third pseudo-random sequence R (R) 1 ，r 2 ,..) for example, selected portions of data in each set of real-time measurement data to be transmitted are encrypted.
16. The motor monitoring system of claim 15,
the motor monitoring system is configured to, when encrypted, multiply each of the selected partial data of the i-th group by q for each group of real-time measurement data to be transmitted i Then r is added i ，
Wherein i is an integer greater than or equal to 1.
17. A remote monitoring system for monitoring operational data of an electric machine, the remote monitoring system configured to:
receiving encrypted real-time measurement data of the motor;
decrypting the received real-time measurement data by:
generating a first pseudorandom sequence P (P) using a first seed 1 ，p 2 ，...)；
Grouping the received real-time measurement data into groups of N, where N is an integer greater than 1 and is determined in association with a property of the first pseudorandom sequence P; and
based on the first pseudo-random sequence P (P) 1 ，p 2 ,..), selecting corresponding partial data from each group of received real-time measurement data for decryption; and is
And storing the decrypted real-time measurement data.
18. The remote monitoring system of claim 17, wherein the remote monitoring system is configured to:
determining N as the possible maximum of each term in the first pseudorandom sequence P, an
For each group of received real-time measurement data, selecting the p-th group in the i-th group i The decryption is performed on the data, and,
wherein i is an integer greater than or equal to 1.
19. The remote monitoring system of claim 17,
the remote monitoring system is configured to linearly decrypt selected portions of the data via a linear decryption algorithm.
20. The remote monitoring system according to any one of claims 17-19, wherein the remote monitoring system is further configured to:
generating a second pseudorandom sequence Q (Q) using a second seed different from the first seed 1 ，q 2 ,..), and
based at least in part on the second pseudo-random orderColumn Q (Q) 1 ，q 2 ,..) for decrypting selected portions of each set of received real-time measurement data.
21. The remote monitoring system of claim 20,
the remote monitoring system is configured to, upon decryption, subtract or divide each of the selected partial data of the ith group by q for each group of received real-time measurement data i ，
Wherein i is an integer greater than or equal to 1.
22. The remote monitoring system of claim 20, wherein the remote monitoring system is further configured to:
generating a third pseudo-random sequence R (R) using a third seed different from the first seed and the second seed 1 ，r 2 ,..), and
based at least in part on the third pseudo-random sequence R (R) 1 ，r 2 ,..) for decrypting selected portions of each set of received real-time measurement data.
23. The remote monitoring system of claim 22,
the remote monitoring system is configured to, upon decryption, subtract r from each of the selected partial data of the ith group for each group of received real-time measurement data i Then divided by q i ，
Wherein i is an integer greater than or equal to 1.
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| CN108924099A (en) * | 2018-06-15 | 2018-11-30 | 清华大学深圳研究生院 | encryption method, encryption device, encryption performance analysis method and device |
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| US7120696B1 (en) * | 2000-05-19 | 2006-10-10 | Stealthkey, Inc. | Cryptographic communications using pseudo-randomly generated cryptography keys |
| CN105337728A (en) * | 2015-10-28 | 2016-02-17 | 济南知芯集成电路技术有限公司 | Data encryption method and system |
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