A method for cloud storage and reconstruction based on measurement characteristics of a metering terminal

Abstract

The application discloses a kind of based on metrological terminal measurement feature cloud storage and cloud reconstruction method, it is related to the field of measurement supervision, including: edge metrological terminal is collected corresponding each electric power data in first acquisition cycle, and corresponding measurement feature is extracted, according to the feature name and feature value of measurement feature, corresponding feature channel and sending time anchor point are determined in first sending cycle, and then generate the encrypted timestamp for verification. Edge metrological terminal packs and sends measurement feature and encrypted timestamp to cloud center platform. According to whether the encrypted timestamp in the same data packet matches measurement feature, cloud center platform verifies whether the data packet is tampered with, and then reconstructs the corresponding virtual image according to the measurement feature that has not been tampered with. The application can effectively avoid tampering during data transmission, improve communication security.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system data processing, in particular to a cloud storage and cloud reconstruction method based on measurement characteristics of a metering terminal. BACKGROUND

[0002] The deployment of advanced metering systems and the progress of ICT technology have promoted the large-scale application of power consumption information sensing devices represented by smart meters. The high-precision monitoring data generated thereby lays the foundation for in-depth analysis of user power consumption patterns, customer group division, load prediction, and demand response of power systems. Due to the limited computing power of edge devices, related big data analysis and artificial intelligence processing engines need to be deployed on cloud platforms. However, the massive amount of raw data from smart meters transmitted back to the central master station will significantly increase the burden on the communication system. Therefore, there is an urgent need for efficient data compression techniques to enable effective transmission under limited communication resources and ensure that the cloud master station can restore the complete power consumption scenario information through data reconstruction, thereby ensuring the application value of the data and maximizing the functional expansion of smart meters beyond metering.

[0003] Edge metering terminals can extract information from raw metering data (voltage, current, power, energy, etc.) that best represents local topological connection relationships, state change trends, and key operating characteristics, and perform efficient compression encoding. The cloud platform can reconstruct a "virtual image" reflecting the key topological structure and operating state of the entire regional distribution network based on the lightweight encoded information collected from numerous edge nodes. This technology can effectively reduce the burden on the communication system. However, since the feature information is highly abstract and the information volume represents a large amount of data, once the data in this technology is attacked and tampered with, the virtual image reconstructed by the cloud platform will be completely distorted in a specific area or miss critical alarms. Therefore, the security of data transmission between edge metering terminals and cloud platforms needs to be strengthened. SUMMARY

[0004] In view of the above-mentioned part of the defects of the prior art, the technical problem to be solved by the present application is to provide a cloud storage and cloud reconstruction method based on measurement characteristics of a metering terminal, aiming to avoid data tampering during transmission and improve communication security.

[0005] To achieve the above-mentioned purpose, the present application provides a cloud storage and cloud reconstruction method based on measurement characteristics of a metering terminal, which comprises:

[0006] Step S1, the edge metering terminal collects corresponding power data in the first collection period and extracts measurement characteristics corresponding to each item of power data; wherein the measurement characteristics at least include feature name and feature value;

[0007] Step S2: The edge metering terminal determines, based on the feature name of the measured feature, a feature channel corresponding to the feature name within a first sending period; the edge metering terminal calculates, based on the feature value of the measured feature, a sending time anchor point corresponding to the feature value using a first encryption algorithm; the edge metering terminal generates an encrypted timestamp for the measured feature based on the corresponding feature channel and the sending time anchor point; wherein the first acquisition period corresponds one-to-one to the first sending period, the first sending period is divided into a plurality of feature channels, and each feature name corresponds to a unique feature channel;

[0008] Step S3: The edge metering terminal encrypts and packages the measurement feature and the corresponding encryption timestamp to obtain a first measurement feature data packet; the edge metering terminal sends the first measurement feature data packet to the cloud center platform;

[0009] Step S4: The cloud center platform decrypts the first measurement feature data packet to obtain a first verification measurement feature and a first verification encryption timestamp; the cloud center platform obtains a first verification feature channel and a first verification sending time anchor point based on the first verification encryption timestamp; the cloud center platform obtains a first verification feature name based on the first verification feature channel; and the cloud center platform obtains a first verification feature value based on the first verification sending time anchor point using a decryption algorithm corresponding to the first encryption algorithm.

[0010] Step S5: The cloud center platform determines whether the first verification feature name and the first verification feature value match the first verification measurement feature. If so, the cloud center platform determines that the first measurement feature data packet is normal. If not, the cloud center platform determines that the first measurement feature data packet has been tampered with, and requests the edge metering terminal to re-transmit the first measurement feature data packet.

[0011] Step S6: In response to the first measurement feature data packet being normal, the cloud center platform stores the measurement feature in the cloud and reconstructs a virtual image of the measurement feature in the distribution network based on the measurement feature; wherein, when the first measurement feature data packet is normal, the measurement feature is the same as the first verification measurement feature.

[0012] Optionally, the edge metering terminals are divided into multiple levels from high to low, and there is a subordinate relationship between the levels. When the edge metering terminal of the lower level sends data to the cloud center platform, it needs to pass through the edge metering terminal of the higher level to which it belongs; the edge metering terminal of the higher level performs an affiliation mark on the measurement feature data packet sent by the subordinate edge metering terminal of the lower level, and the affiliation mark is used to represent the topological relationship between the edge metering terminals.

[0013] Optionally, in the step S2, the method further comprises:

[0014] The edge metrology terminal obtains a corresponding fusion feature value according to the feature value corresponding to each of the metrology features and a second fusion feature fusion algorithm; wherein the fusion feature value corresponds to a fusion feature channel within the first sending period;

[0015] The edge metrology terminal calculates a sending time anchor point corresponding to the fusion feature value through the first encryption algorithm according to the fusion feature value; the edge metrology terminal generates an encrypted time stamp of the fusion feature value according to the corresponding fusion feature channel and the sending time anchor point; wherein the fusion feature value is used to verify each of the feature values corresponding thereto in the cloud center platform.

[0016] Optionally, the method further comprises:

[0017] The cloud center platform counts the metrology feature data packets corresponding to the first sending period and normal after the sending deadline corresponding to the first sending period;

[0018] The cloud center platform obtains the missing metrology feature data packets in response to the number of metrology feature data packets not being consistent with the number of metrology features collected within the first collection period; the cloud center platform generates a first re-request instruction according to the missing metrology feature data packets, and issues the first re-request instruction to the edge metrology terminal, so that the edge metrology terminal re-sends the missing metrology feature data packets.

[0019] Optionally, the method further comprises:

[0020] The cloud center platform generates a second re-request instruction in response to not receiving any metrology feature data packets corresponding to the first sending period after the sending deadline corresponding to the first sending period;

[0021] The cloud center platform generates a second re-request instruction and issues the second re-request instruction to the edge metrology terminal, so that the edge metrology terminal re-sends all the metrology feature data packets corresponding to the first sending period.

[0022] Optionally, the first collection period and the first sending period have asynchronous correspondence, and the asynchronous correspondence includes that the current first sending period corresponds to the last first collection period.

[0023] Optionally, the first acquisition period and the first sending period have a time length correspondence relationship, and the time length correspondence relationship includes that the time lengths of the first acquisition period and the first sending period are equal.

[0024] Optionally, the first encryption algorithm at least includes a symmetric encryption algorithm, an asymmetric encryption algorithm and a password hash function.

[0025] Optionally, the edge metering terminal at least includes one of an electric meter, a concentrator and an intelligent fusion terminal.

[0026] The beneficial effects of the present application are as follows: 1. The present application divides the sending period into a plurality of feature channels dedicated to different measurement features. Based on this, in the data transmission process, the edge metering terminal determines the feature channel corresponding to the feature name in the first sending period according to the feature name of the measurement feature; the edge metering terminal calculates the sending time anchor point corresponding to the feature value through the first encryption algorithm according to the feature value of the measurement feature; and the edge metering terminal generates the encrypted timestamp of the measurement feature according to the corresponding feature channel and sending time anchor point. The encrypted timestamp is used to decrypt in the cloud center platform and then verify the corresponding feature value. Compared with direct encryption transmission, the present application can ensure the correspondence between the measurement feature and the encrypted timestamp in the correct data packet through the above method, thereby avoiding the problem of reconstruction distortion caused by tampering of the measurement feature. 2. The present application generates the corresponding sending time through the feature name and the feature value, and sends the sending time and the encrypted timestamp together, effectively combining the time physical property and the cryptography, and realizing dynamic key verification. Compared with the encryption method of the prior art which usually adopts static encryption, the present application can solve the problems of key leakage, inability to defend against replay attacks, lack of context awareness and the like, thereby improving the communication security. 3. The present application can attribute mark the edge metering terminals of different levels, so that the topology relationship can be restored according to the attribution mark, the original long address information is reduced, and the burden of the communication system is reduced. 4. The present application also generates a fusion feature of all features in the same period, and the fusion feature is used for decomposition in the cloud center platform to further verify each feature value, thereby reducing the possibility of tampering of the trusted data and improving the communication security. 5. The present application also sets a retransmission mechanism, thereby avoiding the problem of inability to reconstruct caused by packet loss.

[0027] In summary, the present application can effectively avoid tampering in the data transmission process and improve the communication security. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 is a flowchart of a metering terminal measurement feature cloud storage and cloud reconstruction method provided by a specific embodiment of the present application;

[0029] Figure 2It is a schematic diagram of channel division in each sending period provided by an embodiment of the application. DETAILED DESCRIPTION

[0030] The application discloses a metering terminal measurement feature cloud storage and cloud reconstruction method, and those skilled in the art can refer to the content herein and appropriately improve technical details to realize. It is particularly pointed out that all similar replacements and changes are obvious to those skilled in the art, and they are regarded as being included in the application. The method and application of the application have been described through the preferred embodiments, and relevant personnel can obviously change or appropriately change and combine the method and application described herein without departing from the content, spirit and scope of the application, to realize and apply the technology of the application.

[0031] The applicant has found that an edge metering terminal can extract information most capable of representing local topological connection relationships, state change trends and key operation features from original metering data (voltage, current, power, electric energy, etc.), and perform efficient compression coding. A cloud platform can reconstruct a "virtual image" reflecting key topological structures and operation states of an entire regional power distribution network in the cloud based on lightweight coded information gathered from numerous edge nodes. This technology can effectively reduce the burden of a communication system. However, since the feature information is highly abstract and the information amount represents huge data, once the data in the technology is attacked and tampered with, the virtual image reconstructed by the cloud platform will be completely distorted in a specific region, or a key alarm will be missed. Therefore, it is necessary to strengthen the security of data transmission between the edge metering terminal and the cloud platform. A conventional encryption method generally adopts static password verification, but static password verification (including pre-shared keys, fixed certificates, etc.) has significant defects in edge computing and high-security-demand scenarios, including key leakage, inability to defend against replay attacks and lack of context awareness.

[0032] Therefore, an embodiment of the application provides a metering terminal measurement feature cloud storage and cloud reconstruction method, as shown in Figure 1 The method comprises the following steps.

[0033] In step S1, the edge metering terminal collects corresponding power data in a first collection period, and extracts measurement features corresponding to the power data.

[0034] The measurement features at least include feature names and feature values.

[0035] It should be noted that, in order to ensure the normal operation of the power distribution network, it is necessary to regularly collect and upload data for monitoring to avoid faults. The extracted measurement features are the "essence information" extracted from the massive original data (voltage, current, etc.), which are like the "fingerprint" and "health index" of the power grid, and represent the core state of the power grid with a small amount of data. For example, the feature name can be the voltage trend slope, and the corresponding feature value is the slope value of the voltage change. The feature name can be a fault event, and the corresponding feature value is the pre-agreed event code of the fault event.

[0036] In this embodiment, the edge metering terminal at least includes one of an electric meter, a concentrator and an intelligent fusion terminal. Preferably, the electric meter can be a smart electric meter.

[0037] In step S2, the edge metering terminal determines the feature channel corresponding to the feature name in the first sending period according to the feature name of the measurement feature; the edge metering terminal calculates the sending time anchor point corresponding to the feature value through the first encryption algorithm according to the feature value of the measurement feature; and the edge metering terminal generates the encrypted timestamp of the measurement feature according to the corresponding feature channel and the sending time anchor point.

[0038] The first collection period corresponds to the first sending period one by one, the first sending period is divided into a plurality of feature channels, and each feature name corresponds to a unique feature channel.

[0039] It should be noted that the measurement feature is associated with the data sending event in the embodiment of the application, so as to obtain the encrypted timestamp. The cloud center platform can reverse the measurement feature according to the encrypted timestamp to verify whether they correspond to each other, and then judge whether it is tampered with. Because the sending time is changing over time, the encrypted timestamp of the embodiment of the application is also dynamic, thereby having good context awareness and reducing the risk of key leakage.

[0040] In this embodiment, in step S2, the method further comprises:

[0041] The edge metering terminal obtains the corresponding fusion feature value according to the feature value corresponding to each measurement feature and the second fusion feature fusion algorithm; wherein the fusion feature value corresponds to the fusion feature channel in the first sending period;

[0042] The edge metering terminal calculates the sending time anchor point corresponding to the fusion feature value through the first encryption algorithm according to the fusion feature value; the edge metering terminal generates the encrypted timestamp of the fusion feature value according to the corresponding fusion feature channel and the sending time anchor point; wherein the fusion feature value is used to verify the corresponding feature value in the cloud center platform.

[0043] It should be noted that the embodiment of the present application can further verify each measurement feature of the same period by fusing the characteristic value, avoid tampering, and further strengthen the communication security.

[0044] In this specific embodiment, the first acquisition period and the first sending period have asynchronous correspondence, and the asynchronous correspondence includes that the current first sending period corresponds to the last first acquisition period.

[0045] It should be noted that the data needs to wait for complete acquisition before being sent after feature extraction, so the acquisition period and the sending period have asynchrony, and in general, the current first sending period corresponds to the last first acquisition period.

[0046] In this specific embodiment, the first acquisition period and the first sending period have a time length corresponding relationship, and the time length corresponding relationship includes that the time length of the first acquisition period and the first sending period is equal.

[0047] It should be noted that when the time length of the first acquisition period and the first sending period is equal, generally, the corresponding time of the last acquisition period is the corresponding time of the current sending period.

[0048] In this specific embodiment, the first encryption algorithm at least includes a symmetric encryption algorithm, an asymmetric encryption algorithm, and a password hash function.

[0049] In this specific embodiment, the channel division diagram in each sending period is as shown in Figure 2 , wherein different characteristic channels correspond to different characteristics, and the fusion characteristic channel corresponds to the fusion characteristic value.

[0050] Step S3, the edge metering terminal encrypts and packs the measurement feature and the corresponding encrypted time stamp to obtain a first measurement feature data packet; and the edge metering terminal sends the first measurement feature data packet to the cloud center platform.

[0051] It should be noted that the encrypted time stamp of the measurement feature generated according to the characteristic channel and the sending time anchor point in the embodiment of the present application is a double encryption, and the measurement feature and the corresponding encrypted time stamp are encrypted and packed when sent, which is another double encryption. Compared with the prior art which generally only has the second encryption mode, the present application makes information tampering more difficult through the double encryption mode, thereby improving the data security.

[0052] Step S4, the cloud center platform decrypts the first measurement characteristic data packet to obtain the first verification measurement characteristic and the first verification encrypted timestamp; the cloud center platform obtains the first verification characteristic channel and the first verification sending time anchor point according to the first verification encrypted timestamp; the cloud center platform obtains the first verification characteristic name according to the first verification characteristic channel; and the cloud center platform obtains the first verification characteristic value through the decryption algorithm corresponding to the first encryption algorithm according to the first verification sending time anchor point.

[0053] It should be noted that when the first measurement characteristic data packet is not tampered with, the first verification measurement characteristic and the first verification encrypted timestamp are the original measurement characteristic and the encrypted timestamp. If it is tampered with, since the attacker does not know the corresponding dynamic relationship between the measurement characteristic and the encrypted timestamp, the first verification measurement characteristic and the first verification encrypted timestamp no longer correspond. Based on this, it can be judged whether the first measurement characteristic data packet is tampered with.

[0054] Step S5, the cloud center platform judges whether the first verification characteristic name and the first verification characteristic value match the first verification measurement characteristic. If yes, it is judged that the first measurement characteristic data packet is normal; if not, it is judged that the first measurement characteristic data packet is tampered with, and the cloud center platform re-requests the first measurement characteristic data packet from the edge metering terminal.

[0055] It should be noted that since the attacker does not know the corresponding dynamic relationship between the measurement characteristic and the encrypted timestamp, when the first measurement characteristic data packet is tampered with, it is judged that the first verification characteristic name and the first verification characteristic value no longer match the first verification measurement characteristic.

[0056] Step S6, the cloud center platform responds to the normal first measurement characteristic data packet, and stores the measurement characteristic in the cloud, and reconstructs the virtual image of the measurement characteristic in the power distribution network according to the measurement characteristic.

[0057] When the first measurement characteristic data packet is normal, the measurement characteristic is the same as the first verification measurement characteristic.

[0058] In this embodiment, the edge metering terminals are divided into multiple levels from high to low, and there is a subordinate relationship between the levels. When the edge metering terminal of the lower level sends data to the cloud center platform, it needs to pass through the edge metering terminal of the higher level to which it belongs; the edge metering terminal of the higher level marks the measurement characteristic data packet sent by the subordinate edge metering terminal of the lower level with an attribution mark, and the attribution mark is used to represent the topological relationship between the edge metering terminals.

[0059] It should be noted that this embodiment can mark the attribution of edge metering terminals of different levels, so that the topological relationship can be restored according to the attribution mark, reducing the original long address information and reducing the burden of the communication system.

[0060] In this specific embodiment, the method further comprises:

[0061] The cloud center platform counts the measurement characteristic data packets corresponding to the first sending period and normal after the sending deadline corresponding to the first sending period;

[0062] The cloud center platform obtains the missing measurement characteristic data packets in response to the number of measurement characteristic data packets not corresponding to the number of measurement characteristics collected in the first collection period, generates a first re-request instruction according to the missing measurement characteristic data packets, and issues the first re-request instruction to the edge metering terminal to make the edge metering terminal resend the missing measurement characteristic data packets.

[0063] It should be noted that this embodiment can improve the packet loss situation and avoid data affecting reconstruction, thereby making the reconstruction of the virtual image more real and reliable. This situation is used for the case of partial data loss in the same period.

[0064] In this specific embodiment, the method further comprises:

[0065] The cloud center platform does not receive any measurement characteristic data packets corresponding to the first sending period after the sending deadline corresponding to the first sending period;

[0066] The cloud center platform generates a second re-request instruction and issues the second re-request instruction to the edge metering terminal to make the edge metering terminal resend all measurement characteristic data packets corresponding to the first sending period.

[0067] It should be noted that this embodiment can improve the packet loss situation and avoid data affecting reconstruction, thereby making the reconstruction of the virtual image more real and reliable. This situation is used for the case of partial data loss in the same period.

[0068] In the embodiment of the application, the sending period is divided into a plurality of characteristic channels dedicated to different measurement characteristics. Based on this, in the data transmission process, the edge metering terminal determines the characteristic channel corresponding to the characteristic name of the measurement characteristic in the first sending period according to the characteristic name of the measurement characteristic; the edge metering terminal calculates the sending time anchor point corresponding to the characteristic value of the measurement characteristic by the first encryption algorithm according to the characteristic value of the measurement characteristic; the edge metering terminal generates the encrypted timestamp of the measurement characteristic according to the corresponding characteristic channel and the sending time anchor point. The encrypted timestamp is used to decrypt at the cloud center platform and then verify the corresponding characteristic value. Compared with direct encryption transmission, the embodiment of the application can ensure the correspondence between the measurement characteristic and the encrypted timestamp in the correct data packet by the above method, thereby avoiding the problem of reconstruction distortion caused by tampering of the measurement characteristic.

[0069] The embodiment of the present application generates corresponding sending time through feature name and feature value, and converts the sending time into a common encrypted timestamp for sending, effectively combining time physical characteristics with cryptography to realize dynamic key verification. Compared with the encryption mode of the prior art which generally adopts static encryption, the embodiment of the present application can solve the problems of key leakage, inability to defend against replay attacks, lack of context awareness, and the like, thereby improving communication security.

[0070] The embodiment of the present application can mark different levels of edge measurement terminals with attribution, so that the topology relationship can be restored according to the attribution, the original lengthy address information is reduced, and the burden of the communication system is reduced.

[0071] The embodiment of the present application also generates fused features of all features in the same period, and the fused features are used for decomposing in the cloud center platform to further verify each feature value, thereby reducing the possibility of tampering of trusted data again and improving communication security.

[0072] The embodiment of the present application also sets a retransmission mechanism to avoid the problem of being unable to reconstruct due to packet loss.

[0073] In summary, the embodiment of the present application can effectively avoid tampering in the data transmission process and improve communication security.

[0074] It should be noted that, in this text, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "including a" does not exclude the presence of another identical element in the process, method, article or device including the element.

[0075] Each embodiment in the specification is described in a related manner, and the same and similar parts between each embodiment can be referred to each other, and each embodiment mainly explains the difference from other embodiments. Especially, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the related parts can be referred to the part of the method embodiment.

[0076] The above is only a preferred embodiment of the present application, and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application is included in the protection scope of the present application.

Claims

1. A method for cloud storage and reconstruction based on metrology terminal measurement features, characterized in that, The method comprises: Step S1, the edge metering terminal collects corresponding various power data in a first collection period, and extracts measurement characteristics corresponding to each of the power data; wherein the measurement characteristics at least include characteristic name and characteristic value; Step S2, the edge metering terminal determines the characteristic channel corresponding to the characteristic name according to the characteristic name of the measurement characteristic in the first sending period; the edge metering terminal calculates the sending time anchor point corresponding to the characteristic value through the first encryption algorithm according to the characteristic value of the measurement characteristic; the edge metering terminal generates the encrypted timestamp of the measurement characteristic according to the corresponding characteristic channel and the sending time anchor point; wherein the first collection period corresponds to the first sending period one by one, the first sending period is divided into a plurality of characteristic channels, each characteristic name corresponds to a unique characteristic channel; Step S3, the edge metering terminal encrypts and packages the measurement characteristic and the corresponding encrypted timestamp to obtain a first measurement characteristic data packet; the edge metering terminal sends the first measurement characteristic data packet to the cloud center platform; Step S4, the cloud center platform decrypts the first measurement characteristic data packet to obtain the first verification measurement characteristic and the first verification encrypted timestamp; the cloud center platform obtains the first verification characteristic channel and the first verification sending time anchor point according to the first verification encrypted timestamp; the cloud center platform obtains the first verification characteristic name according to the first verification characteristic channel; the cloud center platform obtains the first verification characteristic value through the decryption algorithm corresponding to the first encryption algorithm according to the first verification sending time anchor point; Step S5, the cloud center platform judges whether the first verification characteristic name and the first verification characteristic value match the first verification measurement characteristic, if yes, it is judged that the first measurement characteristic data packet is normal; if not, it is judged that the first measurement characteristic data packet is tampered, and the edge metering terminal is requested to reacquire the first measurement characteristic data packet; Step S6, the cloud center platform responds to the normal first measurement characteristic data packet, cloud stores the measurement characteristic, and reconstructs the virtual image of the measurement characteristic in the power distribution network according to the measurement characteristic; wherein when the first measurement characteristic data packet is normal, the measurement characteristic is the same as the first verification measurement characteristic.

2. The metrology terminal based metrology feature cloud storage and cloud reconstruction method of claim 1, wherein, The edge metering terminal is divided into multiple levels from high to low, and has a subordinate relationship between levels; when the edge metering terminal of low level sends data to the cloud center platform, it needs to pass through the edge metering terminal of high level to which it belongs; the edge metering terminal of high level marks the measurement characteristic data packet sent by the subordinate edge metering terminal of low level, and the marking is used to represent the topological relationship between each edge metering terminal.

3. The metrology terminal based metrology feature cloud storage and cloud reconstruction method of claim 1, wherein, In the step S2, the method further comprises: The edge metering terminal obtains a corresponding fusion feature value according to the feature value corresponding to each of the measurement features and a second fusion feature fusion algorithm; wherein the fusion feature value corresponds to a fusion feature channel within the first sending period; The edge metering terminal calculates a sending time anchor point corresponding to the fusion feature value through the first encryption algorithm according to the fusion feature value; the edge metering terminal generates an encrypted time stamp of the fusion feature value according to the corresponding fusion feature channel and the sending time anchor point; wherein the fusion feature value is used to verify each of the feature values corresponding thereto in the cloud center platform.

4. The metrology terminal based metrology feature cloud storage and cloud reconstruction method of claim 1, wherein, The method further comprises: The cloud center platform counts the measurement feature data packets corresponding to the first sending period and normal after the sending deadline corresponding to the first sending period; The cloud center platform obtains the missing measurement feature data packets in response to the number of measurement feature data packets not corresponding to the number of measurement features collected in the first collection period; the cloud center platform generates a first re-request instruction according to the missing measurement feature data packets, and issues the first re-request instruction to the edge metering terminal, so that the edge metering terminal re-sends the missing measurement feature data packets.

5. The metrology terminal based metrology feature cloud storage and cloud reconstruction method of claim 1, wherein, The method further comprises: The cloud center platform generates a second re-request instruction in response to not receiving any measurement feature data packets corresponding to the first sending period after the sending deadline corresponding to the first sending period; The cloud center platform generates a second re-request instruction and issues the second re-request instruction to the edge metering terminal, so that the edge metering terminal re-sends all the measurement feature data packets corresponding to the first sending period.

6. The metrology terminal based metrology feature cloud storage and cloud reconstruction method of claim 1, wherein, The first collection period and the first sending period have asynchronous correspondence, and the asynchronous correspondence includes that the current first sending period corresponds to the last first collection period.

7. The metrology terminal based metrology feature cloud storage and cloud reconstruction method of claim 1, wherein, The first collection period and the first sending period have a time length correspondence, and the time length correspondence includes that the time lengths of the first collection period and the first sending period are equal.

8. The metrology terminal based metrology feature cloud storage and cloud reconstruction method of claim 1, wherein, The first encryption algorithm at least includes a symmetric encryption algorithm, an asymmetric encryption algorithm, and a password hash function.

9. The metrology terminal based metrology feature cloud storage and cloud reconstruction method of claim 1, wherein, The edge metering terminal at least includes one of an electric meter, a concentrator, and a smart fusion terminal.

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