New energy consumption capacity assessment system and assessment method

Abstract

The present invention discloses a new energy consumption capacity evaluation system and an evaluation method. The present invention collects and generates evaluation data of each evaluation cycle by setting an absorption data acquisition unit. The encryption communication unit intercepts multiple groups of intercepted data corresponding to all high-frequency words according to the high-frequency words contained in the evaluation data of the current evaluation cycle, and performs binary conversion and calculation on them respectively, so that the multiple groups of final result data contain the characteristics of multiple high-frequency words, and the multiple groups of final result data are replaced with the corresponding high-frequency words for consistency. On the one hand, the evaluation data of each evaluation cycle will have a large deviation in the final result data due to the different types and quantities of high-frequency words, thereby ensuring the transmission security of the evaluation data. On the other hand, the evaluation data is replaced with related high-frequency words, and the transmitted evaluation data is further compressed, thereby reducing the transmission time of Pingu data in the network and ensuring the security of the new energy consumption evaluation data.

Description

Technical Field

[0001] The present invention relates to the technical field of power evaluation, and in particular to a new energy consumption capacity evaluation system and an evaluation method. Background Art

[0002] In recent years, the proportion of new energy access in the power grid has continued to increase, but due to the uncertainty of new energy output, it is difficult to meet the "source-load" power balance requirements, resulting in serious wind and solar power abandonment and difficulty in absorbing new energy. In addition, if the proportion of new energy access is too high, the strength of the power grid will be weakened, leading to prominent problems such as transient voltage instability and wide-band oscillation. Therefore, accurately evaluating the new energy absorption capacity of the power grid is of great significance to improving the level of new energy absorption and ensuring the safe and stable operation of the power grid.

[0003] At present, in order to accurately evaluate the absorption capacity of new energy, an evaluation model is used. In order to ensure the accuracy and high availability of the evaluation model, its training and evaluation process is placed in the cloud, and the evaluation model is trained with the help of the powerful computing and storage capabilities of the cloud. In this process, the data used to evaluate the absorption capacity of new energy is transmitted securely in the form of keys and fixed ports. Then, the evaluation of the absorption capacity of new energy cannot be completed once. It is a long process. In addition, due to the need for an accurate evaluation of the absorption capacity of new energy, and the amount of data collected is often large, based on a large amount of data and multiple long-term transmissions, the transmission process uses key encryption and fixed port transmission. After multiple uses, there will be risks of leakage and cracking, which is extremely unsafe for the transmitted data.

[0004] In order to solve the above problems, the present invention proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a new energy consumption capacity evaluation system and evaluation method, and the purpose is to solve the problem in the prior art that the data used to evaluate the new energy consumption capacity is transmitted securely in the form of keys and fixed ports, and then the evaluation of the new energy consumption capacity cannot be completed in one time, it is a long process, and because an accurate evaluation of the new energy consumption capacity is required, and the amount of collected data is often large, based on a large amount of data and multiple long-term transmissions, the transmission process uses key encryption and fixed port transmission, which will lead to the risk of leakage and cracking after multiple uses, which is extremely unsafe for the transmitted data.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] New energy consumption capacity assessment system, including:

[0008] The consumption data acquisition module includes a consumption data acquisition unit and an encryption communication unit;

[0009] The consumption data collection unit is used to generate evaluation data according to the evaluation benchmark data, where the evaluation benchmark data refers to data used for new energy consumption evaluation, and collects the evaluation benchmark data from multiple data sources in the target area every other evaluation cycle and generates the evaluation data of the current evaluation cycle based on the evaluation benchmark data;

[0010] The encrypted communication unit is used to filter out high-frequency words with a number of occurrences of P2 or more from the evaluation data, and obtain the mapping numbers corresponding to the high-frequency words;

[0011] Based on all the screened high-frequency words, the corresponding multiple groups of intercepted data are intercepted from the evaluation data of the current evaluation cycle. The corresponding mapping numbers are used to perform AND operations on the multiple groups of intercepted data corresponding to different high-frequency words to obtain replacement data for the corresponding multiple groups of intercepted data. The replacement data are spliced ​​according to the data before interception to obtain the evaluation data of the current evaluation cycle, and P2 is the preset occurrence threshold.

[0012] Furthermore, it also includes a cloud-based evaluation module, which is used to evaluate and optimize the new energy consumption capacity of the target area. The cloud-based evaluation module includes a decryption communication unit and an evaluation optimization unit. The encryption communication unit stores a data entry mapping table. The decryption communication unit restores the received evaluation encrypted data of the current evaluation cycle to obtain the evaluation restored data of the current evaluation cycle, and the evaluation optimization unit inputs it into the evaluation model stored in the evaluation optimization unit to obtain the consumption capacity evaluation result of the target area in the current evaluation cycle, which is stored and displayed by the consumption data acquisition module.

[0013] Further, the encryption communication unit generates evaluation encryption data for the current evaluation cycle, as follows:

[0014] S11: Based on all high-frequency words in the data entry mapping table, traverse all characters in the evaluation data of the current evaluation period to find all high-frequency words that appear at least P2 times, where P2 is a preset occurrence threshold;

[0015] S12: traverse each character in the evaluation data of the current evaluation period in order from left to right, and extract multiple groups of intercepted data of all high-frequency words according to certain interception rules;

[0016] S13: Marking all the multiple groups of intercepted data of high-frequency words as A1, A2, ..., Aa, a≥1, in sequence according to the order of the multiple groups of intercepted data of high-frequency words in the evaluation data of the current evaluation cycle before interception;

[0017] S14: obtaining the high-frequency word B1 contained in A1 and the mapping number C1 in the sequence number field in the data entry mapping table corresponding to the high-frequency word B1, performing binary conversion on the data in A1 except the high-frequency word B1, and recalibrating the converted data into the base conversion data of A1;

[0018] The high-frequency words B1 are converted into binary, and the converted data are recalibrated into the binary data of A1;

[0019] The mapping number C1 in the sequence number field in the data entry mapping table corresponding to the high-frequency word B1 is converted into 8-bit binary, and the converted data is recalibrated into the replacement base data of A1;

[0020] Perform an AND operation on the base AND data of A1 and the base conversion data of A1, and the obtained data is calibrated as the base AND result data of A1;

[0021] S15: Replace and obtain the final replacement data of A1 according to a certain replacement rule;

[0022] S16: According to S14 to S15, the final replacement data of A1, A2, ..., Aa are calculated in sequence and concatenated in the order of A1, A2, ..., Aa to generate the evaluation encrypted data of the current evaluation cycle.

[0023] The new energy consumption capacity assessment method includes the following steps:

[0024] Step 1: The consumption data acquisition unit collects evaluation benchmark data for new energy consumption evaluation from multiple data sources in the target area every other evaluation cycle and generates evaluation data of the current evaluation cycle based on the data, and transmits the data to the encrypted communication unit. The duration of one evaluation cycle is P1, and P1 is a preset duration threshold.

[0025] Step 2: After receiving the evaluation data of the current evaluation cycle, the decryption communication unit traverses all the characters in the data entry mapping table based on all the high-frequency words, finds out all the high-frequency words that appear at least P2 times, refers to the data entry mapping table, finds out the mapping numbers corresponding to these high-frequency words, uses the mapping numbers to encrypt the evaluation data of the current evaluation cycle to generate the evaluation encrypted data of the current evaluation cycle, and transmits it to the decryption communication unit, where P2 is a preset occurrence threshold, and the data entry mapping table contains an entry field and a sequence number field, the entry field stores a number of high-frequency words, and the sequence number field stores the mapping number;

[0026] Step 3: After receiving the evaluation encrypted data of the current evaluation cycle, the encryption communication unit traverses it, and finds all high-frequency words contained in the evaluation encrypted data of the current evaluation cycle according to the mapping numbers corresponding to all high-frequency words stored in the data entry mapping table, and decrypts the evaluation encrypted data of the current evaluation cycle according to all the high-frequency words found to obtain the evaluation restored data of the current evaluation cycle, and transmits it to the evaluation optimization unit;

[0027] Step 4: The evaluation optimization unit first backs up the received evaluation restoration data of the current evaluation cycle as training data, then inputs it into the evaluation model to obtain the consumption capacity evaluation result of the target area in the current evaluation cycle, and transmits it to the consumption data acquisition module;

[0028] Step 5: The consumption data acquisition module stores and displays the consumption capacity assessment results of the target area in the current assessment period.

[0029] Beneficial effects of the present invention:

[0030] The present invention sets a consumption data collection unit to collect evaluation benchmark data for new energy consumption evaluation from multiple data sources in the target area every evaluation cycle and generate evaluation data for the current evaluation cycle. The encryption communication unit intercepts multiple groups of intercepted data corresponding to all high-frequency words according to the high-frequency words contained in the evaluation data of the current evaluation cycle, and performs binary conversion and calculation on them respectively, so that the multiple groups of final result data contain the characteristics of multiple high-frequency words, and replace the multiple groups of final result data with the corresponding high-frequency words for consistency, and replace the character strings consistent with multiple characters in the high-frequency words after binary conversion with high-frequency words. On the one hand, the evaluation data of each evaluation cycle will have a large deviation in the result data in the group due to the different types and quantities of high-frequency words, thereby ensuring the transmission security of the evaluation data. On the other hand, the evaluation data is replaced with related high-frequency words, and the transmitted evaluation data is further compressed, thereby reducing the transmission time of Pingu data in the network and ensuring the security of the new energy consumption evaluation data. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention will be further described below in conjunction with the accompanying drawings.

[0032] Figure 1 is a system block diagram of the present invention;

[0033] Figure 2 is a flow chart of the method of the present invention;

[0034] Figure 3 This is a diagram of the steps by which the encryption communication unit generates evaluation encryption data for the current evaluation cycle. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] like Figure 1 As shown, a new energy consumption capacity evaluation system and evaluation method include a consumption data collection module and a cloud evaluation module;

[0037] The consumption data collection module is used to periodically collect evaluation benchmark data for new energy consumption evaluation from multiple data sources in a target area, the target area may be a city or a specific area, the multiple data sources in the target area include power stations, power departments and energy research institutions, and the evaluation benchmark data include new energy production capacity data, new energy power generation data, power system data, power consumption data, energy storage facility data and energy market data;

[0038] The new energy capacity data include the installed capacity and power generation capacity of solar photovoltaic power generation and wind power generation; the new energy power generation data include actual power generation and predicted power generation data, which can be used to evaluate the actual consumption of new energy and its future potential; the power system data include the transmission capacity, stability and other related information of the power grid, which can help evaluate the access capability of new energy and its impact on the stability of the power system; the energy storage facility data include the installed capacity, energy storage capacity and other related information of various energy storage equipment, and energy storage facilities can help balance the uncertainty of new energy and improve the flexibility of the power system; the energy market data include price fluctuations, supply and demand relations, policy support and other related data of the power market, which can be used to evaluate the economic feasibility and market prospects of new energy;

[0039] The consumption data acquisition module includes a consumption data acquisition unit and an encryption communication unit. The consumption data acquisition unit collects evaluation benchmark data for new energy consumption evaluation from multiple data sources in the target area every other evaluation period and generates evaluation data of the current evaluation period based on the data, and transmits the data to the encryption communication unit. The interval length of one evaluation period is P1, and P1 is a preset time threshold.

[0040] The encryption communication unit pre-stores a data entry mapping table, which includes an entry field and a sequence number field. The entry field stores a number of high-frequency words, and the sequence number field stores a mapping number. It should be noted that the mapping numbers in the sequence number field are not repeated, and the high-frequency words in the entry field and the mapping numbers in the sequence number field are one-to-one corresponding; the high-frequency words refer to text words that frequently appear in the evaluation data, which are manually marked;

[0041] After receiving the evaluation data of the current evaluation period transmitted by the consumption data acquisition unit, the encryption communication unit generates the evaluation encrypted data of the current evaluation period according to certain encryption communication rules and transmits it to the cloud evaluation module. The encryption communication rules are as follows:

[0042] S11: Based on all high-frequency words in the data entry mapping table, traverse all characters in the evaluation data of the current evaluation period to find all high-frequency words that appear at least P2 times, where P2 is a preset occurrence threshold;

[0043] S12: Traverse each character in the evaluation data of the current evaluation cycle in order from left to right, and extract multiple groups of intercepted data of all high-frequency words according to certain interception rules. The specific interception rules are as follows:

[0044] S121: When the first high-frequency word is traversed, all characters before the high-frequency word are intercepted to include the high-frequency word, and the characters are used as a set of intercepted data of the high-frequency word;

[0045] S122: When traversing to the second high-frequency word, intercept all characters from the first high-frequency word to the second high-frequency word, and use them as a set of intercepted data of the second high-frequency word, wherein the intercepted data includes the second high-frequency word but does not include the first high-frequency word;

[0046] S123: According to steps S121 to S122, multiple groups of intercepted data of all high-frequency words are intercepted. It should be noted that when the last high-frequency word is traversed, if there are characters after it, the characters after the last high-frequency word are intercepted and marked as the intercepted data of the last high-frequency word;

[0047] S13: Marking all the multiple groups of intercepted data of high-frequency words as A1, A2, ..., Aa, a≥1, in sequence according to the order of the multiple groups of intercepted data of high-frequency words in the evaluation data of the current evaluation cycle before interception;

[0048] S14: obtaining the high-frequency word B1 contained in A1 and the mapping number C1 in the sequence number field in the data entry mapping table corresponding to the high-frequency word B1, performing binary conversion on the data in A1 except the high-frequency word B1, and recalibrating the converted data into the base conversion data of A1;

[0049] The high-frequency words B1 are converted into binary, and the converted data are recalibrated into the binary data of A1;

[0050] The mapping number C1 in the sequence number field in the data entry mapping table corresponding to the high-frequency word B1 is converted into 8-bit binary, and the converted data is recalibrated into the replacement base data of A1;

[0051] Perform an AND operation on the base AND data of A1 and the base conversion data of A1, and the obtained data is calibrated as the base AND result data of A1;

[0052] S15: Replace and obtain the final replacement data of A1 according to a certain replacement rule, as follows:

[0053] S151: sequentially concatenate the mapping number C1 and the mapping numbers 8, 7, 6, ..., P3 to generate the first, second, ..., 8th to P3 replacement character strings of A1, where P3 is a preset replacement character number threshold;

[0054] S152: extracting multiple groups of character strings consistent with the replacement data of A1 from the binary system AND data of A1 in order from left to right, and replacing the multiple groups of character strings with the first replacement character string of A1 in the binary system AND data of A1 to obtain the primary replacement data of A1;

[0055] S153: extracting multiple groups of character strings that are consistent with the first 7 characters of A1 from the first replacement data of A1 in order from left to right, and replacing all of the multiple groups of character strings with the second replacement character strings of A1 in the first replacement data of A1 to obtain the secondary replacement data of A1;

[0056] S154: According to S151 to S153, the first, second, ..., 8-P3 replacement character strings of A1 are replaced with the first, second, ..., 1+8-P3 replacement data of A1 in sequence to obtain the 8-P3 replacement data of A1, which are recalibrated as the final replacement data of A1;

[0057] S16: According to S14 to S15, the final replacement data of A1, A2, ..., Aa are calculated in sequence and concatenated in the order of A1, A2, ..., Aa to generate the evaluation encrypted data of the current evaluation cycle;

[0058] The cloud-based evaluation module is used to evaluate the new energy consumption capacity of the target area, and the cloud-based evaluation module includes a decryption communication unit and an evaluation optimization unit;

[0059] The cloud evaluation module receives the evaluation encrypted data of the current evaluation cycle transmitted by the encryption communication unit and transmits it to the decryption communication unit, wherein the decryption communication unit stores a data entry mapping table, and the data stored in the data entry mapping table in the decryption communication unit and the data entry mapping table in the encryption communication unit are completely the same;

[0060] After receiving the evaluation encrypted data of the current evaluation cycle transmitted by the cloud evaluation module, the decryption communication unit traverses the data, and finds all high-frequency words contained in the evaluation encrypted data of the current evaluation cycle according to the mapping numbers corresponding to all high-frequency words stored in the data entry mapping table, and decrypts the evaluation encrypted data of the current evaluation cycle according to all the high-frequency words found to obtain the evaluation restored data of the current evaluation cycle, and transmits the data to the evaluation optimization unit;

[0061] The evaluation optimization unit pre-stores an evaluation model for evaluating the new energy consumption capacity. After receiving the evaluation restoration data of the current evaluation cycle transmitted by the decryption communication unit, the evaluation optimization unit first backs it up as training data to optimize and update the model parameters of the evaluation model.

[0062] Then, the evaluation restoration data of the current evaluation cycle is input into the evaluation model to evaluate the new energy consumption capacity of the target area, and the consumption capacity evaluation result of the current evaluation cycle is obtained. The evaluation optimization unit transmits the consumption capacity evaluation result of the current evaluation cycle to the consumption data acquisition module, which stores it and provides it to the management personnel for subsequent review and new energy consumption capacity analysis;

[0063] In the description of the specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0064] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0065] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. New energy consumption capacity assessment system, characterized by: include: The consumption data acquisition module includes a consumption data acquisition unit and an encryption communication unit; The consumption data collection unit is used to generate evaluation data according to the evaluation benchmark data, where the evaluation benchmark data refers to data used for new energy consumption evaluation, and collects the evaluation benchmark data from multiple data sources in the target area every other evaluation cycle and generates the evaluation data of the current evaluation cycle based on the evaluation benchmark data; The encrypted communication unit is used to filter out high-frequency words with a number of occurrences of P2 or more from the evaluation data, and obtain the mapping numbers corresponding to the high-frequency words; Based on all the high-frequency words screened out, multiple groups of intercepted data corresponding to them are intercepted from the evaluation data of the current evaluation cycle. For the multiple groups of intercepted data corresponding to different high-frequency words, their corresponding mapping numbers are used to perform AND operations on them to obtain replacement data of the corresponding multiple groups of intercepted data, and the replacement data of the corresponding multiple groups of intercepted data are spliced ​​according to the data before interception to obtain the evaluation data of the current evaluation cycle, where P2 is a preset occurrence count threshold; The encryption communication unit generates the evaluation encryption data of the current evaluation cycle, as follows: S11: Based on all high-frequency words in the data entry mapping table, traverse all characters in the evaluation data of the current evaluation period to find all high-frequency words that appear at least P2 times, where P2 is a preset occurrence threshold; S12: traverse each character in the evaluation data of the current evaluation period in order from left to right, and extract multiple groups of intercepted data of all high-frequency words according to certain interception rules; S13: Marking all the multiple groups of intercepted data of high-frequency words as A1, A2, ..., Aa, a≥1, in sequence according to the order of the multiple groups of intercepted data of high-frequency words in the evaluation data of the current evaluation cycle before interception; S14: obtaining the high-frequency word B1 contained in A1 and the mapping number C1 in the sequence number field in the data entry mapping table corresponding to the high-frequency word B1, performing binary conversion on the data in A1 except the high-frequency word B1, and recalibrating the converted data into the base conversion data of A1; The high-frequency words B1 are converted into binary, and the converted data are recalibrated into the binary data of A1; The mapping number C1 in the sequence number field in the data entry mapping table corresponding to the high-frequency word B1 is converted into 8-bit binary, and the converted data is recalibrated into the replacement base data of A1; Perform an AND operation on the base AND data of A1 and the base conversion data of A1, and the obtained data is calibrated as the base AND result data of A1; S15: Replace and obtain the final replacement data of A1 according to a certain replacement rule; S16: According to S14 to S15, the final replacement data of A1, A2, ..., Aa are calculated in sequence and concatenated in the order of A1, A2, ..., Aa to generate the evaluation encrypted data of the current evaluation cycle.

2. The new energy consumption capacity evaluation system according to claim 1 is characterized in that: It also includes a cloud-based evaluation module, which is used to evaluate and optimize the new energy absorption capacity of the target area. The cloud-based evaluation module includes a decryption communication unit and an evaluation optimization unit. The encryption communication unit stores a data entry mapping table. The decryption communication unit restores the received evaluation encrypted data of the current evaluation cycle to obtain the evaluation restored data of the current evaluation cycle, and the evaluation optimization unit inputs it into the evaluation model stored in the evaluation optimization unit to obtain the absorption capacity evaluation result of the target area in the current evaluation cycle, which is stored and displayed by the absorption data acquisition module.

3. The new energy consumption capacity evaluation system according to claim 1 is characterized in that: The encrypted communication unit updates and stores a data entry mapping table, in which a number of high-frequency words and their corresponding mapping numbers are stored. The mapping numbers in the data entry mapping table are non-repetitive. The high-frequency words refer to text words that frequently appear in the evaluation data, which are manually set and labeled.

4. The new energy consumption capacity evaluation system according to claim 1 is characterized in that: The specific interception rules for intercepting multiple groups of intercepted data of all high-frequency words in S12 are as follows: S121: When the first high-frequency word is traversed, all characters before the high-frequency word are intercepted to include the high-frequency word, and the characters are used as a set of intercepted data of the high-frequency word; S122: When traversing to the second high-frequency word, intercept all characters from the first high-frequency word to the second high-frequency word, and use them as a set of intercepted data of the second high-frequency word, wherein the intercepted data includes the second high-frequency word but does not include the first high-frequency word; S123: According to steps S121 to S122, multiple groups of intercepted data of all high-frequency words are intercepted. It should be noted here that when traversing to the last high-frequency word, if there are characters after it, the characters after the last high-frequency word are intercepted and marked as the intercepted data of the last high-frequency word.

5. The new energy consumption capacity evaluation system according to claim 1 is characterized in that: The specific replacement rule of replacing the final replacement data of A1 in S15 is as follows: S151: sequentially concatenate the mapping number C1 and the mapping numbers 8, 7, 6, ..., P3 to generate the first, second, ..., 8th to P3 replacement character strings of A1, where P3 is a preset replacement character number threshold; S152: extracting multiple groups of character strings consistent with the replacement data of A1 from the binary system AND data of A1 in order from left to right, and replacing the multiple groups of character strings with the first replacement character string of A1 in the binary system AND data of A1 to obtain the primary replacement data of A1; S153: extracting multiple groups of character strings that are consistent with the first 7 characters of A1 from the first replacement data of A1 in order from left to right, and replacing all of the multiple groups of character strings with the second replacement character strings of A1 in the first replacement data of A1 to obtain the secondary replacement data of A1; S154: According to S151 to S153, the first, second, ..., 8-P3 replacement character strings of A1 are replaced with the first, second, ..., 1+8-P3 replacement data of A1 in sequence to obtain the 8-P3 replacement data of A1, which are recalibrated as the final replacement data of A1.

6. The new energy consumption capacity evaluation system according to claim 2 is characterized in that: The data stored in the data entry mapping table in the decryption communication unit and the data entry mapping table in the encryption communication unit are completely the same.

7. The new energy consumption capacity evaluation system according to claim 2 is characterized in that: The evaluation optimization unit backs up the received evaluation restoration data of the current evaluation cycle as training data.

8. The new energy consumption capacity evaluation system according to claim 1 is characterized in that: The new energy consumption capacity assessment method conducted by this system includes the following steps: Step 1: The consumption data acquisition unit collects evaluation benchmark data for new energy consumption evaluation from multiple data sources in the target area every other evaluation cycle and generates evaluation data of the current evaluation cycle based on the data, and transmits the data to the encrypted communication unit. The duration of one evaluation cycle is P1, and P1 is a preset duration threshold. Step 2: After receiving the evaluation data of the current evaluation cycle, the decryption communication unit traverses all the characters in the data entry mapping table based on all the high-frequency words, finds out all the high-frequency words that appear at least P2 times, refers to the data entry mapping table, finds out the mapping numbers corresponding to these high-frequency words, uses the mapping numbers to encrypt the evaluation data of the current evaluation cycle to generate the evaluation encrypted data of the current evaluation cycle, and transmits it to the decryption communication unit, where P2 is a preset occurrence threshold, and the data entry mapping table contains an entry field and a sequence number field, the entry field stores a number of high-frequency words, and the sequence number field stores the mapping number; Step 3: After receiving the evaluation encrypted data of the current evaluation cycle, the encryption communication unit traverses it, and finds all high-frequency words contained in the evaluation encrypted data of the current evaluation cycle according to the mapping numbers corresponding to all high-frequency words stored in the data entry mapping table, and decrypts the evaluation encrypted data of the current evaluation cycle according to all the high-frequency words found to obtain the evaluation restored data of the current evaluation cycle, and transmits it to the evaluation optimization unit; Step 4: The evaluation optimization unit first backs up the received evaluation restoration data of the current evaluation cycle as training data, then inputs it into the evaluation model to obtain the consumption capacity evaluation result of the target area in the current evaluation cycle, and transmits it to the consumption data acquisition module; Step 5: The consumption data acquisition module stores and displays the consumption capacity assessment results of the target area in the current assessment period.

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