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CN117767272B - New energy consumption capacity assessment system and assessment method - Google Patents

New energy consumption capacity assessment system and assessment method Download PDF

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Publication number
CN117767272B
CN117767272B CN202311558922.XA CN202311558922A CN117767272B CN 117767272 B CN117767272 B CN 117767272B CN 202311558922 A CN202311558922 A CN 202311558922A CN 117767272 B CN117767272 B CN 117767272B
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evaluation
assessment
frequency
replacement
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CN117767272A (en
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刘珅
王泽众
孔乾坤
靳康萌
沙凯旋
刘树锦
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State Grid Corp of China SGCC
Smart Distribution Network Center of State Grid Jibei Electric Power Co Ltd
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State Grid Corp of China SGCC
Smart Distribution Network Center of State Grid Jibei Electric Power Co Ltd
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Abstract

本发明公开了新能源消纳能力评估系统及评估方法,本发明通过设置消纳数据采集单元采集生成每个评估周期的评估数据,加密通信单元依据当前评估周期评估数据中包含的高频词语,截取出所有高频词语对应的多组截取数据,并分别对其进行二进制转换并进行与计算,使多组最终结果数据包含了多个高频词语的特性,且将多组最终结果数据与其对应的高频词语进行一致性替换,一方面使每次评估周期评估数据都会因为高频词语的类型和数量不同导致其最终结果数据偏差很大,保证了评估数据的传输安全,另一方面将评估数据进行相关高频词语替换,进一步对传输的评估数据进行压缩,减少了品谷数据在网络中传输的时间,保证了新能源消纳评估数据的安全。

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

New energy consumption capability evaluation system and evaluation method
Technical Field
The invention relates to the technical field of electric power evaluation, in particular to a new energy consumption capability evaluation system and a new energy consumption capability evaluation method.
Background
In recent years, the access proportion of new energy in a power grid is continuously improved, but the uncertainty of the output of the new energy is difficult to meet the power balance requirement of 'source-load', so that the phenomena of wind and light abandoning are serious, and the new energy is difficult to be absorbed. In addition, if the access proportion of the new energy is too high, the strength of the power grid is weakened, and the problems of transient voltage instability, broadband oscillation and the like are outstanding. Therefore, the new energy consumption capability of the power grid is accurately estimated, and the method has important significance for improving the new energy consumption level and ensuring the safe and stable operation of the power grid.
In order to accurately evaluate the new energy consumption capability, an evaluation model is used, in order to ensure the accuracy and high availability of the evaluation model, the process of training and evaluating the new energy consumption capability is placed on the cloud, the training of the evaluation model is performed by means of strong operation and storage capability of the cloud, in the process, the transmitted data for evaluating the new energy consumption capability is safely transmitted in a form of a secret key and a fixed port, then the new energy consumption capability is evaluated in a non-once manner, the new energy consumption capability is a long-term process, the new energy consumption capability is accurately evaluated, the acquired data volume is often large, the transmission process is carried out for a plurality of times based on the large data volume, secret key encryption and fixed port transmission are used, and the risk of leakage and cracking can be caused under a plurality of times of use, so that the transmitted data is extremely unsafe;
in order to solve the above problems, the present invention proposes a solution.
Disclosure of Invention
The invention aims to provide a new energy consumption capability assessment system and an assessment method, which aim to solve the problems that in the prior art, data transmitted for assessing new energy consumption capability is safely transmitted in a form of a secret key and a fixed port, and then assessment of new energy consumption capability is not completed once, and is a long-term process, and because the new energy consumption capability is required to be accurately assessed, the acquired data volume is often large, the acquired data volume is transmitted for a plurality of times based on the larger data volume, the transmission process of the acquired data volume is encrypted by the secret key and the transmission of the acquired data volume is carried out by the fixed port, and leakage and cracking risks are caused under the condition of a plurality of times of use, so the data transmitted is extremely unsafe.
The aim of the invention can be achieved by the following technical scheme:
new energy consumption ability evaluation system includes:
The system comprises a consumption data acquisition module, a storage module and a storage module, wherein the consumption data acquisition module comprises a consumption data acquisition unit and an encryption communication unit;
The consumption data acquisition unit is used for generating evaluation data according to evaluation reference data, wherein the evaluation reference data refer to data used for performing new energy consumption evaluation, and the evaluation reference data are acquired from a plurality of data sources in a target area every other evaluation period and are generated according to the evaluation reference data;
The encryption communication unit is used for screening out high-frequency words with the occurrence frequency of P2 times or more from the evaluation data and obtaining mapping numbers of the corresponding high-frequency words;
Based on all the screened high-frequency words, intercepting a plurality of groups of intercepted data corresponding to the screened high-frequency words from the evaluation data of the current evaluation period, performing AND operation on the plurality of groups of intercepted data corresponding to different high-frequency words by using the corresponding mapping numbers to obtain replacement data of the plurality of groups of intercepted data, and splicing the replacement data according to the data before interception to obtain the evaluation data of the current evaluation period, wherein P2 is a preset occurrence frequency threshold value.
The system comprises a target area, a cloud evaluation module, a storage module and a storage module, wherein the cloud evaluation module is used for evaluating and optimizing new energy consumption capacity of the target area, the cloud evaluation module comprises a decryption communication unit and an evaluation and optimization unit, a data entry mapping table is stored in the encryption communication unit, the decryption communication unit is used for restoring the received evaluation encryption data of the current evaluation period to obtain evaluation restoring data of the current evaluation period, the evaluation and optimization unit is used for inputting the evaluation restoring data into an evaluation model stored in the evaluation and optimization unit to obtain a consumption capacity evaluation result of the current evaluation period of the target area, and the consumption data acquisition module is used for storing and displaying the evaluation restoring data.
Further, the encryption communication unit generates the evaluation encryption data of the current evaluation period, specifically as follows:
S11, traversing all characters in evaluation data of a current evaluation period based on all high-frequency words in a data entry mapping table, and finding out all high-frequency words with occurrence times of at least P2 times, wherein P2 is a preset occurrence times threshold;
S12, traversing each character in the evaluation data of the current evaluation period in sequence from left to right, and intercepting a plurality of groups of intercepted data of all high-frequency words according to a certain interception rule;
S13, marking multiple groups of intercepted data of all high-frequency words as A1, A2, aa and a more than or equal to 1 according to the sequence of the intercepted data of all high-frequency words in the evaluation data of the current evaluation period before intercepting;
s14, obtaining a high-frequency word B1 contained in the A1 and a mapping number C1 in a sequence number field in a data entry mapping table corresponding to the high-frequency word B1, performing binary conversion on data except the high-frequency word B1 in the A1, and recalibrating the converted data into binary conversion data of the A1;
binary conversion is carried out on the high-frequency word B1, and the converted data are recalibrated into binary phase data of A1;
Performing 8-bit binary conversion on the mapping digit C1 corresponding to the high-frequency word B1 in the sequence number field in the data entry mapping table, and recalibrating the converted data into alternative binary data of A1;
Performing AND operation on the binary phase data of A1 and the binary conversion data of A1, wherein the obtained data is calibrated to be phase-phase result data of A1;
s15, replacing and obtaining the terminal replacement data of the A1 according to a certain replacement rule;
And S16, according to S14 to S15, sequentially calculating and obtaining the terminal replacement data of A1, A2, the first and the second, and splicing the terminal replacement data according to the sequence of A1, A2, the first and the second, so as to generate the evaluation encryption data of the current evaluation period.
The new energy consumption capability assessment method comprises the following steps:
The method comprises the steps that firstly, a consumption data acquisition unit acquires evaluation reference data for new energy consumption evaluation from a plurality of data sources in a target area every other evaluation period, generates evaluation data of a current evaluation period according to the evaluation reference data, and transmits the evaluation data to an encryption communication unit, wherein the interval duration of one evaluation period is P1, and the P1 is a preset duration threshold;
The decryption communication unit receives the transmitted evaluation data of the current evaluation period, traverses all characters in a data entry mapping table based on all high-frequency words in the data entry mapping table, finds out all high-frequency words with occurrence times of at least P2 times, refers to the data entry mapping table, finds out mapping numbers corresponding to the high-frequency words, encrypts the evaluation data of the current evaluation period by using the mapping numbers to generate evaluation encryption data of the current evaluation period, and transmits the evaluation encryption data to the decryption communication unit, wherein the P2 is a preset occurrence times threshold value, the data entry mapping table comprises entry fields and sequence number fields, a plurality of high-frequency words are stored in the entry fields, and the mapping numbers are stored in the sequence number fields;
Step three, the encryption communication unit traverses the evaluation encryption data of the current evaluation period after receiving the evaluation encryption data, finds out all high-frequency words contained in the evaluation encryption data of the current evaluation period according to the mapping numbers corresponding to all high-frequency words stored in the data entry mapping table, decrypts the evaluation encryption data of the current evaluation period according to all the found high-frequency words to obtain evaluation restoration data of the current evaluation period, and transmits the evaluation restoration data to the evaluation optimization unit;
The evaluation optimization unit firstly takes the received evaluation restoration data of the current evaluation period as training data to backup, then inputs the training data into an evaluation model to obtain a digestion capability evaluation result of the current evaluation period of the target area, and transmits the digestion capability evaluation result to the digestion data acquisition module;
And fifthly, storing and displaying the received evaluation result of the digestion capability of the current evaluation period of the target area by the digestion data acquisition module.
The invention has the beneficial effects that:
According to the invention, the absorption data acquisition unit is arranged to acquire evaluation reference data for carrying out new energy absorption evaluation from a plurality of data sources in a target area every other evaluation period and generate evaluation data of a current evaluation period, the encryption communication unit intercepts a plurality of 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 period, respectively binary converts and calculates the intercepted data, so that the plurality of groups of final result data contain characteristics of the plurality of high-frequency words, the plurality of groups of final result data are subjected to consistent replacement with the high-frequency words corresponding to the final result data, and character strings consistent with the plurality of characters in the binary-converted high-frequency words are replaced by the high-frequency words, so that on one hand, the evaluation data can have great deviation of result data in the groups due to different types and numbers of the high-frequency words in each evaluation period, the transmission safety of the evaluation data is ensured, on the other hand, the evaluation data are subjected to relevant high-frequency word replacement, the transmitted evaluation data are further compressed, the time of transmission of the valley data in a network is shortened, and the safety of the new energy absorption evaluation data is ensured.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention;
FIG. 2 is a flow chart of the method of the present invention;
Fig. 3 is a step diagram of the encryption communication unit generating evaluation encryption data of the current evaluation period.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the new energy consumption capability evaluation system and the new energy consumption capability evaluation method comprise a consumption data acquisition module and a cloud evaluation module;
The consumption data acquisition module is used for periodically acquiring evaluation reference data for performing new energy consumption evaluation from a plurality of data sources in a target area, wherein the target area can be a city or a specific area, the plurality of data sources in the target area comprise a power station, an electric power department and an energy research institution, and the evaluation reference data comprise new energy capacity data, new energy generating capacity data, electric power system data, electric power consumption data, energy storage facility data and energy market data;
The new energy capacity data comprise power generation installed capacity and power generation capacity of solar photovoltaic power generation and wind power generation, the new energy power generation data comprise actual power generation and predicted power generation data which can be used for evaluating actual consumption conditions and future potential of new energy, the power system data comprise related information such as transmission capacity and stability of a power grid, the data can help evaluate access capacity of the new energy and influence on the stability of a power system, the energy storage facility data comprise related information such as installed capacity and energy storage capacity of various energy storage devices, the energy storage facility can help balance uncertainty of the new energy and improve flexibility of the power system, and the energy market data comprise related data such as price fluctuation, supply-demand relation, policy support and the like of a power market, and the data can be used for evaluating economic feasibility and market prospect of the new energy;
the consumption data acquisition module comprises a consumption data acquisition unit and an encryption communication unit, wherein the consumption data acquisition unit acquires evaluation reference data for new energy consumption evaluation from a plurality of data sources in a target area every other evaluation period, generates evaluation data of a current evaluation period according to the evaluation reference data, and transmits the evaluation data to the encryption communication unit, the interval duration of one evaluation period is P1, and the P1 is a preset duration threshold;
The encryption communication unit is pre-stored with a data entry mapping table, wherein the data entry mapping table comprises an entry field and a sequence number field, a plurality of high-frequency words are stored in the entry field, mapping numbers are stored in the sequence number field, the fact that the mapping numbers in the sequence number field are not repeated, and the high-frequency words in the entry field correspond to the mapping numbers in the sequence number field one by one;
The encryption communication unit receives the evaluation data of the current evaluation period transmitted by the consumption data acquisition unit, generates evaluation encryption data of the current evaluation period according to a certain encryption communication rule, and transmits the evaluation encryption data to the cloud evaluation module, wherein the encryption communication rule is specifically as follows:
S11, traversing all characters in evaluation data of a current evaluation period based on all high-frequency words in a data entry mapping table, and finding out all high-frequency words with occurrence times of at least P2 times, wherein P2 is a preset occurrence times threshold;
S12, sequentially traversing each character in the evaluation data of the current evaluation period according to the sequence from left to right, and intercepting a plurality of groups of intercepted data of all high-frequency words according to a certain interception rule, wherein the specific interception rule is as follows:
S121, when traversing to a first high-frequency word, intercepting all characters in front of the high-frequency word to contain the high-frequency word, and taking the characters as a group of intercepted data of the high-frequency word;
s122, when traversing to the second high-frequency word, intercepting all characters from the first high-frequency word to the front of the second high-frequency word, and taking the characters as a group of intercepted data of the second high-frequency word, wherein the intercepted data comprises the second high-frequency word which does not comprise the first high-frequency word;
s123, according to the steps S121 to S122, intercepting a plurality of groups of intercepted data of all high-frequency words, wherein when traversing to the last high-frequency word, if characters are arranged behind the last high-frequency word, intercepting the characters after the last high-frequency word, and calibrating the characters as intercepted data of the last high-frequency word;
S13, marking multiple groups of intercepted data of all high-frequency words as A1, A2, aa and a more than or equal to 1 according to the sequence of the intercepted data of all high-frequency words in the evaluation data of the current evaluation period before intercepting;
s14, obtaining a high-frequency word B1 contained in the A1 and a mapping number C1 in a sequence number field in a data entry mapping table corresponding to the high-frequency word B1, performing binary conversion on data except the high-frequency word B1 in the A1, and recalibrating the converted data into binary conversion data of the A1;
binary conversion is carried out on the high-frequency word B1, and the converted data are recalibrated into binary phase data of A1;
Performing 8-bit binary conversion on the mapping digit C1 corresponding to the high-frequency word B1 in the sequence number field in the data entry mapping table, and recalibrating the converted data into alternative binary data of A1;
Performing AND operation on the binary phase data of A1 and the binary conversion data of A1, wherein the obtained data is calibrated to be phase-phase result data of A1;
s15, replacing and acquiring the terminal replacement data of the A1 according to a certain replacement rule, wherein the terminal replacement data are specifically as follows:
S151, sequentially splicing the mapping number C1, the mapping numbers 8, 7, 6 and the P3 to generate a first, a second, an 8-P3 replacement character string of A1, wherein the P3 is a preset replacement character number threshold;
S152, according to the sequence from left to right, cutting out a plurality of groups of character strings consistent with the replacement binary data of A1 from the binary phase of A1, and replacing the plurality of groups of character strings with the first replacement character string of A1 in the binary phase of A1 to obtain primary replacement data of A1;
S153, intercepting a plurality of groups of character strings consistent with the first 7 characters of A1 from the primary replacement data of A1 according to the sequence from left to right, and replacing the plurality of groups of character strings with the second replacement character string of A1 from the primary replacement data of A1 to obtain the secondary replacement data of A1;
S154, according to S151 to S153, sequentially replacing the first, second, & gt and 8-P3 replacement character strings of A1 to the first, second, & gt and 1+8-P3 replacement data of A1 to obtain 8-P3 replacement data of A1, and recalibrating the 8-P3 replacement data to be terminal replacement data of A1;
S16, according to S14 to S15, sequentially calculating and obtaining terminal replacement data of A1, A2, the first and the second, and splicing the terminal replacement data according to the sequence of A1, A2, the first and the second, so as to generate evaluation encryption data of a current evaluation period;
The cloud evaluation module is used for evaluating new energy consumption capacity of the target area and comprises a decryption communication unit and an evaluation optimization unit;
The cloud evaluation module receives evaluation encryption data of a current evaluation period transmitted by the encryption communication unit and transmits the evaluation encryption data to the decryption communication unit, a data entry mapping table is stored in the decryption communication unit, and the data entry mapping table in the decryption communication unit and the data stored in the data entry mapping table in the encryption communication unit are identical;
The decryption communication unit receives the evaluation encryption data of the current evaluation period transmitted by the cloud evaluation module, traverses the evaluation encryption data, finds out all high-frequency words contained in the evaluation encryption data of the current evaluation period according to the mapping numbers corresponding to all high-frequency words stored in the data entry mapping table, decrypts the evaluation encryption data of the current evaluation period according to all the found high-frequency words to obtain evaluation restoration data of the current evaluation period, and transmits the evaluation restoration data to the evaluation optimization unit;
The evaluation optimizing unit is used for receiving evaluation restoration data of the current evaluation period transmitted by the decryption communication unit and backing up the evaluation restoration data as training data, so as to optimize and update model parameters of the evaluation model;
Then, the evaluation reduction data of the current evaluation period are input into an evaluation model to evaluate the new energy consumption capability of the target area, so that a consumption capability evaluation result of the current evaluation period is obtained, the evaluation optimization unit transmits the consumption capability evaluation result of the current evaluation period to a consumption data acquisition module, and the consumption data acquisition module stores the consumption capability evaluation result and provides management staff with subsequent checking and new energy consumption capability analysis;
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined in the claims.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.

Claims (8)

1.新能源消纳能力评估系统,其特征在于,包括:1. A new energy consumption capacity assessment system, characterized by comprising: 消纳数据采集模块,消纳数据采集模块包括消纳数据采集单元和加密通信单元;The consumption data acquisition module includes a consumption data acquisition unit and an encryption communication unit; 所述消纳数据采集单元,用于根据评估基准数据生成评估数据,评估基准数据指代的是用以进行新能源消纳评估的数据,每隔一个评估周期从目标区域的多个数据源中采集评估基准数据并依据其生成当前评估周期的评估数据;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; 加密通信单元,用于从评估数据中筛选出出现次数在P2次及以上高频词语,并获取到对应高频词语的映射数字;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; 基于筛选出的所有高频词语在当前评估周期的评估数据中截取出其对应的多组截取数据,针对不同高频词语对应的多组截取数据使用其对应的映射数字对其进行与运算得到其对应多组截取数据的替换数据,将其按照截取前的数据拼接得到当前评估周期的评估数据,所述P2为预设出现次数阈值;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; 所述加密通信单元生成当前评估周期的评估加密数据,具体如下:The encryption communication unit generates the evaluation encryption data of the current evaluation cycle, as follows: S11:基于数据词条映射表中的所有高频词语,遍历当前评估周期评估数据中的所有字符,找出其中出现次数至少在P2次的所有高频词语,所述P2为预设出现次数阈值;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:按照从左到右的顺序依次遍历当前评估周期评估数据中的每一个字符,按照一定的截取规则截取出所有高频词语的多组截取数据;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:将所有高频词语的多组截取数据按照其截取前在当前评估周期评估数据中的顺序,依次将所有高频词语的多组截取数据标记为A1、A2、...、Aa,a≥1;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:获取A1中包含的高频词语B1,以及高频词语B1对应在数据词条映射表中序号字段中的映射数字C1,将A1中除了高频词语B1外的数据进行二进制转换,将转换后的数据重新标定为A1的进制转换数据;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; 将高频词语B1进行二进制转换,将转换后的数据重新标定为A1的进制相与数据;The high-frequency words B1 are converted into binary, and the converted data are recalibrated into the binary system of A1; 将高频词语B1对应在数据词条映射表中序号字段中的映射数字C1进行8位二进制转换,将转换后的数据重新标定为A1的替换进制数据;Perform 8-bit binary conversion on the mapping number C1 in the sequence number field of the data entry mapping table corresponding to the high-frequency word B1, and recalibrate the converted data into the replacement base data of A1; 将A1的进制相与数据和A1的进制转换数据进行与运算,得到的数据标定为A1的相与结果数据;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:按照一定的替换规则替换获取A1的终末替换数据;S15: Replace and obtain the final replacement data of A1 according to a certain replacement rule; S16:按照S14到S15,依次计算获取A1、A2、...、Aa的终末替换数据并按照A1、A2、...、Aa的先后顺序,将其进行拼接生成当前评估周期的评估加密数据。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.根据权利要求1所述的新能源消纳能力评估系统,其特征在于,还包括云端评估模块,云端评估模块用于对目标区域的新能源消纳能力进行评估优化,所述云端评估模块包括解密通信单元和评估优化单元,所述加密通信单元中存储有数据词条映射表,所述解密通信单元对接收到的当前评估周期的评估加密数据进行还原得到当前评估周期的评估还原数据,并由评估优化单元将其输入到评估优化单元中存储的评估模型中得到该目标区域当前评估周期的消纳能力评估结果,由消纳数据采集模块对其进行存储显示。2. The new energy consumption capacity assessment system according to claim 1 is characterized in that it also includes a cloud-based assessment module, which is used to assess and optimize the new energy consumption capacity of the target area. The cloud-based assessment module includes a decryption communication unit and an assessment optimization unit. The encryption communication unit stores a data entry mapping table. The decryption communication unit restores the received assessment encrypted data of the current assessment cycle to obtain the assessment restored data of the current assessment cycle, and the assessment optimization unit inputs it into the assessment model stored in the assessment optimization unit to obtain the absorption capacity assessment result of the target area in the current assessment cycle, which is stored and displayed by the absorption data acquisition module. 3.根据权利要求1所述的新能源消纳能力评估系统,其特征在于,所述加密通信单元中更新存储有数据词条映射表,所述数据词条映射表中存储有若干个高频词语和其对应的映射数字,所述数据词条映射表中的映射数字是不重复的,所述高频词语指代的是评估数据中经常出现的文字词语,其是由人为进行设置标注的。3. The new energy absorption capacity assessment system according to claim 1 is characterized in that a data entry mapping table is updated and stored in the encrypted communication unit, and a number of high-frequency words and their corresponding mapping numbers are stored in the data entry mapping table. 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 assessment data, which are manually set and marked. 4.根据权利要求1所述的新能源消纳能力评估系统,其特征在于,所述S12,截取出所有高频词语的多组截取数据的具体截取规则如下:4. The new energy consumption capacity evaluation system according to claim 1 is characterized in that, in said S12, the specific interception rules for intercepting multiple groups of intercepted data of all high-frequency words are as follows: S121:当遍历到第一个高频词语时,截取该高频词语前的所有字符包含该高频词语,将其作为该高频词语的一组截取数据;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:当遍历到第二个高频词语时,截取第一个高频词语后到第二个高频词语前的所有字符,将其作为第二个高频词语的一组截取数据,该截取数据中包含第二个高频词语不包括第一个高频词语;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:按照步骤S121到S122,截取出所有高频词语的多组截取数据,这里需要说明的是当遍历到最后一个高频词语时,若其后面还有字符,则截取出最后一个高频词语后的字符,将其标定为最后一个高频词语的截取数据。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.根据权利要求1所述的新能源消纳能力评估系统,其特征在于,所述S15,替换获取A1的终末替换数据的具体替换规则如下:5. The new energy consumption capacity evaluation system according to claim 1, characterized in that, in said S15, the specific replacement rule for replacing the final replacement data of A1 is as follows: S151:依次将映射数字C1和映射数字8、7、6、...、P3进行拼接生成A1的第一、第二、...、第8-P3替换字符串,所述P3为预设替换字符个数阈值;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:按照从左到右的顺序,在A1的进制相与数据中截取出与A1的替换进制数据相一致多组字符串,并在A1的进制相与数据中将该多组字符串都用A1的第一替换字符串进行替换,得到A1的一次替换数据;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:按照从左到右的顺序,在A1的一次替换数据中截取出于A1的前7个字符相一致多组字符串,并在A1的一次替换数据将该多组字符串都用A1的第二替换字符串进行替换,得到A1的二次替换数据;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:按照S151到S153,依次将A1的第一、第二、...、第8-P3替换字符串替换到A1的一次、二次、...、1+8-P3次替换数据得到A1的8-P3次替换数据,将其重新标定为A1的终末替换数据。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.根据权利要求2所述的新能源消纳能力评估系统,其特征在于,所述解密通信单元中的数据词条映射表和加密通信单元中的数据词条映射表内存储的数据是完全相同的。6. The new energy consumption capacity assessment 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 stored in the data entry mapping table in the encryption communication unit are exactly the same. 7.根据权利要求2所述的新能源消纳能力评估系统,其特征在于,所述评估优化单元将接收到的当前评估周期的评估还原数据作为训练数据进行备份。7. The new energy consumption capacity assessment system according to claim 2 is characterized in that the assessment optimization unit backs up the received assessment restoration data of the current assessment cycle as training data. 8.根据权利要求1所述的新能源消纳能力评估系统,其特征在于,通过该系统所进行的新能源消纳能力评估方法包括以下步骤:8. The new energy consumption capacity evaluation system according to claim 1 is characterized in that the new energy consumption capacity evaluation method performed by the system comprises the following steps: 步骤一:消纳数据采集单元每隔一个评估周期从目标区域的多个数据源中采集用以进行新能源消纳评估的评估基准数据并依据其生成当前评估周期的评估数据,将其传输到加密通信单元,所述一个评估周期间隔时长为P1,所述P1为预设时长阈值;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 encryption communication unit. The duration of one evaluation cycle is P1, and P1 is a preset duration threshold. 步骤二:解密通信单元接收到传输的当前评估周期的评估数据后基于数据词条映射表中的所有高频词语,遍历其中的所有字符,找出其中出现次数至少在P2次的所有高频词语,参照数据词条映射表,找出这些高频词语对应的映射数字,使用映射数字对当前评估周期的评估数据进行加密生成当前评估周期的评估加密数据,将其传输到解密通信单元,所述P2为预设出现次数阈值,所述数据词条映射表中包含有词条字段和序号字段,所述词条字段中存储有若干个高频词语,所述序号字段中存储有映射数字;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; 步骤三:加密通信单元接收到当前评估周期的评估加密数据后对其进行遍历,并依据数据词条映射表中存储的所有高频词语对应的映射数字,找到当前评估周期的评估加密数据中包含的所有高频词语,并依据找到的所有高频词语对当前评估周期的评估加密数据进行解密得到当前评估周期的评估还原数据,将其传输到评估优化单元;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; 步骤四:评估优化单元首先将接收到的当前评估周期的评估还原数据作为训练数据进行备份,然后将其输入到评估模型中得到该目标区域当前评估周期的消纳能力评估结果,将其传输到消纳数据采集模块;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; 步骤五:消纳数据采集模块对接收到的该目标区域当前评估周期的消纳能力评估结果进行存储显示。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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