Cloud storage and cloud reconstruction method based on measurement characteristics of metering terminal

Abstract

The invention discloses a cloud storage and cloud reconstruction method based on measurement features of a measurement terminal, and relates to the field of measurement supervision, and the method comprises the steps: an edge measurement terminal collects corresponding various electric power data in a first collection period, extracts corresponding measurement features, and obtains a first measurement feature according to the feature name and feature value of the measurement features; and determining a corresponding characteristic channel and a sending time anchor point in the first sending period, and then generating an encryption timestamp for verification. And the edge metering terminal packages the measurement characteristics and the encryption timestamp and sends the packaged measurement characteristics and encryption timestamp to the cloud center platform. The cloud center platform verifies whether the data packet is tampered or not according to whether the encryption timestamp in the same data packet is matched with the measurement feature or not, and then reconstructs a corresponding virtual image according to the measurement feature which is not tampered. According to the invention, tampering in the data transmission process can be effectively avoided, and the communication security is improved.

Description

Technical Field

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

[0002] The deployment of advanced metering systems and advances in ICT have driven the large-scale adoption of electricity consumption information sensing devices, such as smart meters. The resulting high-precision monitoring data lays the foundation for advanced applications such as in-depth analysis of user electricity usage patterns, customer segmentation, load forecasting, and power system demand response. Given the limited computing power of edge devices, relevant big data analysis and artificial intelligence processing engines must be deployed on cloud platforms. However, transmitting massive amounts of raw smart meter data back to the central master station significantly increases the burden on the communication system. Therefore, efficient data compression technologies are urgently needed to achieve effective transmission within limited communication resources and ensure that the cloud master station can reconstruct and restore complete electricity usage scenario information through data. This ensures the application value of the data and maximizes the functionality of smart meters beyond metering.

[0003] Edge metering terminals can extract the information that best represents local topological connectivity, state trends, and key operational characteristics from raw metering data (such as voltage, current, power, and energy), and perform efficient compression encoding. Based on this lightweight, encoded information aggregated from numerous edge nodes, the cloud platform can reconstruct a highly accurate "virtual image" of the key topology and operational status of the entire regional distribution network. This technology can effectively reduce the burden on communication systems. However, because the characteristic information is highly abstract and represents a vast amount of data, if the data used in this technology is tampered with, the virtual image reconstructed by the cloud platform could be completely distorted in specific areas or miss critical alerts. Therefore, the security of data transmission between edge metering terminals and the cloud platform needs to be strengthened. Summary of the Invention

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

[0005] To achieve the above objectives, the present invention provides a cloud storage and cloud reconstruction method based on measurement characteristics of metering terminals, the method comprising: Step S1: The edge metering terminal collects corresponding power data in a first collection period and extracts measurement features corresponding to each power data; wherein the measurement features include at least a feature name and a feature value; 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; 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; 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. 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. 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.

[0006] 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.

[0007] Optionally, in step S2, the method further includes: The edge metering terminal obtains a corresponding fused feature value based on the feature value corresponding to each of the measurement features and a second fused feature fusion algorithm; wherein the fused feature value corresponds to a fused feature channel in the first sending period; The edge metering terminal calculates the sending time anchor point corresponding to the fused feature value through the first encryption algorithm based on the fused feature value; the edge metering terminal generates an encrypted timestamp of the fused feature value based on the corresponding fused feature channel and the sending time anchor point; wherein, the fused feature value is used to verify each corresponding feature value on the cloud center platform.

[0008] Optionally, the method further includes: After the sending deadline corresponding to the first sending period, the cloud center platform counts the measurement feature data packets corresponding to the first sending period and being normal; The cloud center platform obtains the missing measurement feature data packet in response to the fact that the number of the measurement feature data packets does not match the number of the measurement features collected in the first collection period; the cloud center platform generates a first re-request instruction based on the missing measurement feature data packet, and sends the first re-request instruction to the edge metering terminal, so that the edge metering terminal resends the missing measurement feature data packet.

[0009] Optionally, the method further includes: In response to the cloud center platform not receiving any of the measurement feature data packets corresponding to the first sending period after a sending deadline corresponding to the first sending period; The cloud center platform generates a second re-request instruction, and sends the second re-request instruction to the edge metering terminal, so that the edge metering terminal resends all the measurement feature data packets corresponding to the first sending period.

[0010] Optionally, the first acquisition cycle and the first sending cycle have asynchronous correspondence, and the asynchronous correspondence includes that the current first sending cycle corresponds to the previous first acquisition cycle.

[0011] Optionally, the first acquisition period and the first sending period have a corresponding relationship in duration, and the corresponding relationship in duration includes that the durations of the first acquisition period and the first sending period are equal.

[0012] Optionally, the first encryption algorithm includes at least a symmetric encryption algorithm, an asymmetric encryption algorithm, and a cryptographic hash function.

[0013] Optionally, the edge metering terminal includes at least one of an electricity meter, a concentrator, and an intelligent fusion terminal.

[0014] The beneficial effects of the present invention are as follows: 1. The present invention divides the transmission cycle into multiple feature channels dedicated to different measurement features. Based on this, during data transmission, the edge metering terminal determines the feature channel corresponding to the feature name within the first transmission cycle based on the feature name of the measurement feature. Based on the feature value of the measurement feature, the edge metering terminal calculates the transmission time anchor point corresponding to the feature value using a first encryption algorithm. The edge metering terminal generates an encrypted timestamp for the measurement feature based on the corresponding feature channel and transmission time anchor point. The encrypted timestamp is used for decryption on the cloud central platform and verification of its corresponding feature value. Compared to direct encrypted transmission, the present invention ensures that the measurement feature in the correct data packet corresponds to the encrypted timestamp, thereby preventing reconstruction distortion caused by tampering with the measurement feature. 2. The present invention generates the corresponding transmission time by using the feature name and feature value, converts the transmission time into an encrypted timestamp, and transmits it together. This effectively combines the physical properties of time with cryptography to achieve dynamic key verification. Compared to existing encryption methods that typically use static encryption, the present invention can address issues such as key leakage, inability to defend against replay attacks, and lack of context awareness, thereby improving communication security. 3. The present invention can assign affiliation tags to edge metering terminals at different levels, thereby restoring topological relationships based on the affiliation tags, reducing the original lengthy address information and alleviating the burden on the communication system. 4. The present invention also generates a fusion feature of all features within the same cycle. The fusion feature is then decomposed and further verified on the cloud-based central platform, further reducing the possibility of trusted data being tampered with and improving communication security. 5. The present invention also provides a retransmission mechanism to avoid the problem of packet loss leading to reconstruction failure.

[0015] In summary, the present invention can effectively prevent data from being tampered with during transmission and improve communication security. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flowchart of a method for cloud storage and cloud reconstruction based on measurement characteristics of a metering terminal provided by a specific embodiment of the present invention; Figure 2 This is a schematic diagram of channel division within each sending cycle provided by a specific embodiment of the present invention. DETAILED DESCRIPTION

[0017] The present invention discloses a method for cloud storage and cloud reconstruction based on the measurement characteristics of metering terminals. Those skilled in the art can refer to the content of this article and appropriately improve the technical details. It should be noted in particular that all similar replacements and modifications are obvious to those skilled in the art and are considered to be included in the present invention. The methods and applications of the present invention have been described through preferred embodiments. Relevant personnel can obviously modify or appropriately change and combine the methods and applications described herein without departing from the content, spirit and scope of the present invention to implement and apply the technology of the present invention.

[0018] The applicant's research has found that edge metering terminals can extract the information that best represents local topological connectivity, state trends, and key operational characteristics from raw metering data (voltage, current, power, and energy), and perform efficient compression encoding. Based on this lightweight, encoded information aggregated from numerous edge nodes, the cloud platform can reconstruct a highly accurate "virtual image" of the key topological structure and operational status of the entire regional distribution network. This technology can effectively reduce the burden on communication systems. However, because the characteristic information is highly abstract and represents a large amount of data, if the data used in this technology is tampered with, the virtual image reconstructed by the cloud platform will be completely distorted in specific areas, or critical alarms may be missed. Therefore, it is necessary to strengthen the security of data transmission between edge metering terminals and cloud platforms. Conventional encryption methods generally use static password authentication, but static password authentication (including pre-shared keys and fixed certificates) has significant drawbacks in edge computing and high-security scenarios, including key leakage, inability to protect against replay attacks, and lack of context awareness.

[0019] Therefore, the embodiment of the present invention provides a cloud storage and cloud reconstruction method based on the measurement characteristics of the metering terminal, such as Figure 1 As shown, the method includes: Step S1: The edge metering terminal collects corresponding power data in a first collection period and extracts measurement features corresponding to the power data.

[0020] The measurement feature at least includes a feature name and a feature value.

[0021] It's important to note that to ensure the normal operation of the distribution network, regular data collection and upload for monitoring is required to prevent failures. The extracted measurement features are the "essence" extracted from massive amounts of raw data (such as voltage and current). They act like the grid's "fingerprint" and "health indicator," characterizing the grid's core state with minimal data. For example, if the feature name is "voltage trend slope," its corresponding feature value is the slope of the voltage change. If the feature name is "fault event," its corresponding feature value is the pre-agreed event code for the fault event.

[0022] In this specific embodiment, the edge metering terminal includes at least one of an electricity meter, a concentrator, and an intelligent fusion terminal. Preferably, the electricity meter can be a smart meter.

[0023] Step S2: The edge metering terminal determines, according to the feature name of the measured feature, a feature channel corresponding to the feature name within a first sending cycle; the edge metering terminal calculates, according to the feature value of the measured feature, a sending time anchor point corresponding to the feature value using a first encryption algorithm; and the edge metering terminal generates an encrypted timestamp of the measured feature according to the corresponding feature channel and the sending time anchor point.

[0024] The first acquisition 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.

[0025] It should be noted that this embodiment of the present invention associates measurement features with data transmission events to obtain an encrypted timestamp. The cloud-based central platform can use this encrypted timestamp to infer the measurement features, verifying their correspondence and, consequently, determine whether data has been tampered with. Because transmission times are constantly changing, the encrypted timestamp in this embodiment of the present invention is also dynamic, providing better contextual awareness and reducing the risk of key leakage.

[0026] In this specific embodiment, in step S2, the method further includes: The edge metering terminal obtains a corresponding fused feature value based on the feature value corresponding to each measurement feature and the second fused feature fusion algorithm; wherein the fused feature value corresponds to a fused feature channel in the first sending cycle; The edge metering terminal calculates the sending time anchor point corresponding to the fused characteristic value through the first encryption algorithm based on the fused characteristic value; the edge metering terminal generates an encrypted timestamp of the fused characteristic value based on the corresponding fused characteristic channel and the sending time anchor point; wherein, the fused characteristic value is used to verify its corresponding each characteristic value on the cloud center platform.

[0027] It should be noted that the embodiment of the present invention can further verify each measurement feature of the same period by fusing the feature values, thereby avoiding tampering and further strengthening communication security.

[0028] In this specific embodiment, the first acquisition cycle and the first sending cycle have asynchronous correspondence, and the asynchronous correspondence includes that the current first sending cycle corresponds to the previous first acquisition cycle.

[0029] It should be noted that data needs to be fully collected and feature extracted before it can be sent, so the collection cycle and the sending cycle are asynchronous. Generally, the current first sending cycle corresponds to the previous first collection cycle.

[0030] In this specific embodiment, the first collection period and the first sending period have a corresponding relationship in duration, and the corresponding relationship in duration includes that the durations of the first collection period and the first sending period are equal.

[0031] It should be noted that, when the durations of the first acquisition cycle and the first sending cycle are equal, generally, the time corresponding to the previous acquisition cycle is the time corresponding to the current sending cycle.

[0032] In this specific embodiment, the first encryption algorithm includes at least a symmetric encryption algorithm, an asymmetric encryption algorithm, and a cryptographic hash function.

[0033] In this specific embodiment, the channel division diagram in each transmission cycle is as follows: Figure 2 As shown in Figure 2, different feature channels correspond to different features, and the fused feature channel corresponds to the fused feature value.

[0034] 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.

[0035] It should be noted that this embodiment of the present invention generates an encrypted timestamp for the measurement feature based on the characteristic channel and the transmission time anchor point, which is a single encryption method. The measurement feature and the corresponding encrypted timestamp are then encrypted and packaged into a second encryption method during transmission. Compared to existing technologies that generally only use the second encryption method, this embodiment of the present invention uses a double encryption method to make information tampering more difficult, thereby improving data security.

[0036] In step S4, the cloud center platform decrypts the first measurement feature data packet to obtain the first verification measurement feature and the first verification encryption timestamp; the cloud center platform obtains the first verification feature channel and the first verification sending time anchor point based on the first verification encryption timestamp; the cloud center platform obtains the first verification feature name based on the first verification feature channel; the cloud center platform obtains the first verification feature value based on the first verification sending time anchor point through the decryption algorithm corresponding to the first encryption algorithm.

[0037] It should be noted that when the first measurement feature data packet has not been tampered with, the first verification measurement feature and the first verification encryption timestamp remain the original measurement feature and encryption timestamp. If tampered with, the first verification measurement feature and the first verification encryption timestamp no longer correspond because the attacker does not know the dynamic relationship between the measurement feature and the encryption timestamp. Based on this, it is possible to determine whether the first measurement feature data packet has been tampered with.

[0038] 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-request the first measurement feature data packet.

[0039] It should be noted that, since the attacker does not know the dynamic relationship between the measurement feature and the encryption timestamp, when the first measurement feature data packet is tampered with, the first verification feature name and the first verification feature value no longer match the first verification measurement feature.

[0040] Step S6: In response to the first measurement feature data packet being normal, the cloud center platform stores the measurement features in the cloud, and reconstructs a virtual image of the measurement features in the distribution network based on the measurement features.

[0041] When the first measurement feature data packet is normal, the measurement feature is the same as the first verification measurement feature.

[0042] In this specific embodiment, edge metering terminals are divided into multiple levels from high to low, and there is a subordinate relationship between the levels. When a low-level edge metering terminal sends data to the cloud center platform, it needs to pass through the high-level edge metering terminal to which it belongs; the high-level edge metering terminal assigns affiliation marks to the measurement feature data packets sent by the subordinate low-level edge metering terminals. The affiliation marks are used to represent the topological relationship between the edge metering terminals.

[0043] It should be noted that this embodiment can assign ownership tags to edge metering terminals at different levels, so that the topological relationship can be restored according to the ownership tags, thereby reducing the original lengthy address information and alleviating the burden on the communication system.

[0044] In this specific embodiment, the method further includes: After the sending deadline corresponding to the first sending cycle, the cloud center platform counts the normal measurement feature data packets corresponding to the first sending cycle received; The cloud center platform obtains a missing measurement feature data packet in response to the number of measurement feature data packets not being consistent with the number of measurement features collected in the first collection cycle; the cloud center platform generates a first re-request instruction based on the missing measurement feature data packet, and sends the first re-request instruction to the edge metering terminal, so that the edge metering terminal resends the missing measurement feature data packet.

[0045] It should be noted that this embodiment can improve the packet loss situation, avoid data affecting the reconstruction, and thus make the reconstruction of the virtual image more realistic and credible. This situation is used to deal with the situation where some data is lost in the same cycle.

[0046] In this specific embodiment, the method further includes: The cloud center platform does not receive any measurement feature data packet corresponding to the first sending cycle after a sending deadline corresponding to the first sending cycle; The cloud center platform generates a second re-request instruction and sends the second re-request instruction to the edge metering terminal, so that the edge metering terminal resends all measurement feature data packets corresponding to the first sending period.

[0047] It should be noted that this embodiment can improve the packet loss situation, avoid data affecting the reconstruction, and thus make the reconstruction of the virtual image more realistic and credible. This situation is used for the situation where all data in the same cycle is lost.

[0048] The embodiment of the present invention divides the sending period into a plurality of characteristic channels dedicated to different measurement characteristics. Based on this, during the data transmission process, the edge metering terminal determines the characteristic channel corresponding to the characteristic name of the measurement characteristic within 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 according to the characteristic value of the measurement characteristic through the first encryption algorithm; the edge metering terminal generates an 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 on the cloud center platform and then verify its corresponding characteristic value. Compared with direct encrypted transmission, the embodiment of the present invention can ensure the correspondence between the measurement characteristics and the encrypted timestamp in the correct data packet through the above method, thereby avoiding the problem of reconstruction distortion caused by tampering with the measurement characteristics.

[0049] This embodiment of the present invention generates a corresponding sending time from a feature name and feature value, converts the sending time into an encrypted timestamp, and transmits it together. This effectively combines the physical properties of time with cryptography to achieve dynamic key verification. Compared to existing encryption methods that typically use static encryption, this embodiment of the present invention can address issues such as key leakage, inability to defend against replay attacks, and lack of context awareness, thereby improving communication security.

[0050] The embodiment of the present invention can perform attribution marking on edge metering terminals of different levels, so that the topological relationship can be restored according to the attribution marking, thereby reducing the original lengthy address information and alleviating the burden on the communication system.

[0051] The embodiment of the present invention also generates a fusion feature of all features within the same period. The fusion feature is used to decompose and further verify each feature value on the cloud center platform, thereby further reducing the possibility of trusted data being tampered with and improving communication security.

[0052] The embodiment of the present invention also provides a retransmission mechanism to avoid the problem of being unable to reconstruct due to packet loss.

[0053] In summary, the embodiments of the present invention can effectively prevent data from being tampered with during transmission and improve communication security.

[0054] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0055] Each embodiment in this specification is described in a related manner. Similar parts between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the system embodiment is generally similar to the method embodiment, so the description is relatively simple. For related parts, refer to the description of the method embodiment.

[0056] The above are only preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention are included in the scope of protection of the present invention.

Claims

1. A cloud storage and cloud reconstruction method based on measurement characteristics of metering terminals, characterized in that: The method comprises: Step S1: The edge metering terminal collects corresponding power data in a first collection period and extracts measurement features corresponding to each power data; wherein the measurement features include at least a feature name and a feature value; 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; 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; 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. 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. 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.

2. The cloud storage and cloud reconstruction method based on the measurement characteristics of the metering terminal according to claim 1 is characterized in that: 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 feature data packets sent by the subordinate edge metering terminals of the lower level, and the marking is used to represent the topological relationship between the edge metering terminals.

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

4. The cloud storage and cloud reconstruction method based on the measurement characteristics of the metering terminal according to claim 1 is characterized in that: The method further comprises: After the sending deadline corresponding to the first sending period, the cloud center platform counts the measurement feature data packets corresponding to the first sending period and being normal; The cloud center platform obtains the missing measurement feature data packet in response to the fact that the number of the measurement feature data packets does not match the number of the measurement features collected in the first collection period; the cloud center platform generates a first re-request instruction based on the missing measurement feature data packet, and sends the first re-request instruction to the edge metering terminal, so that the edge metering terminal resends the missing measurement feature data packet.

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

6. The cloud storage and cloud reconstruction method based on the measurement characteristics of the metering terminal according to claim 1 is characterized in that: The first acquisition cycle and the first sending cycle have asynchronous correspondence, and the asynchronous correspondence includes that the current first sending cycle corresponds to the previous first acquisition cycle.

7. The cloud storage and cloud reconstruction method based on the measurement characteristics of the metering terminal according to claim 1 is characterized in that: The first acquisition period and the first sending period have a corresponding relationship in duration, and the corresponding relationship in duration includes that the durations of the first acquisition period and the first sending period are equal.

8. The cloud storage and cloud reconstruction method based on the measurement characteristics of the metering terminal according to claim 1 is characterized in that: The first encryption algorithm includes at least a symmetric encryption algorithm, an asymmetric encryption algorithm, and a cryptographic hash function.

9. The cloud storage and cloud reconstruction method based on the measurement characteristics of the metering terminal according to claim 1 is characterized in that: The edge metering terminal includes at least one of an electricity meter, a concentrator and an intelligent fusion terminal.

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