Energy storage EMS data intelligent acquisition system

Abstract

The invention provides an energy storage EMS data intelligent acquisition system which comprises the following steps: firstly, acquiring and storing first state parameter information of an energy storage system through a data acquisition module, and transmitting the first state parameter information to a data comparison module; secondly, after second state parameter information is generated through a data comparison module, the second state parameter information is used for being compared with the correlation of the first state parameter information, and if correlation comparison does not pass, the first state parameter information is transmitted to a curve generation module; then, fitting according to a set curve through a curve generation module to obtain a first fitting relational expression, and transmitting the first fitting relational expression to a data transmission module; finally, generating a first transmission instruction through a data transmission module, and sending the first transmission instruction to a background; therefore, the transmission of the operation parameter data of the energy storage system can be realized, the accuracy of data analysis is improved, the compression of the transmission data can be realized, and the effect of reducing the transmission flow cost and the cloud maintenance cost is achieved.

Description

Technical Field

[0001] The present invention relates to the field of energy storage systems, and more specifically, to an energy storage EMS data intelligent acquisition system. Background Art

[0002] As is known in the industry, energy storage systems are mainly composed of battery management systems (BMS), energy management systems (EMS), battery packs, power storage converters (PCS) and other electrical equipment. Among them, EMS, as the core component of the energy storage system, is responsible for coordinating and managing the various components of the energy storage system.

[0003] The energy storage EMS system collects real-time data of the energy storage system, including key parameters such as the battery's state of charge (SOC), state of health (SOH), ambient temperature, charge and discharge current and voltage, and uses advanced algorithms to process and optimize data. Based on these data and analysis results, the EMS can achieve intelligent control of energy storage equipment, including optimization of charge and discharge strategies, fault diagnosis and maintenance, and communication and interaction with other systems.

[0004] However, since the working parameters of the energy storage system need to be collected and transmitted in real time, a huge amount of transmission data will be generated, and its transmission traffic cost and cloud maintenance cost will remain high. At present, there are solutions for selective transmission of working parameters, but missing data will affect the accuracy of data analysis. Therefore, there is an urgent need for an energy storage EMS data intelligent collection technology that can effectively reduce the amount of data transmission or the cost of data transmission. Summary of the invention

[0005] In view of the above problems, the purpose of the present invention is to provide an energy storage EMS data intelligent acquisition system. First, the first state parameter information of the energy storage system is collected and stored by the data acquisition module, and the first state parameter information is transmitted to the data comparison module; secondly, after the second state parameter information is generated by the data comparison module, it is used to compare the correlation with the first state parameter information. If the correlation comparison fails, the first state parameter information is transmitted to the curve generation module; then, the curve generation module is used to fit the set curve to obtain a first fitting relationship, and then the first fitting relationship is transmitted to the data transmission module; finally, the data transmission module is used to generate a first transmission instruction and send it to the background; the transmission of the energy storage system operation parameter data can be realized, the accuracy of data analysis can be improved, and the transmission data can be compressed, so as to reduce the transmission traffic cost and cloud maintenance cost.

[0006] The present invention provides an energy storage EMS data intelligent acquisition system, the system comprising: The data acquisition module is used to collect and store first state parameter information of the energy storage system, and transmit the first state parameter information to the data comparison module; The data comparison module is used to compare the correlation between the first state parameter information and the second state parameter information after generating the second state parameter information, and if the correlation comparison fails, transmit the first state parameter information to the curve generation module; The curve generation module is used to obtain a first fitting relationship according to the stored state parameter record of the energy storage system and the first state parameter information according to the set curve fitting, and then transmit the first fitting relationship to the data transmission module; The data transmission module is used to generate a first transmission instruction according to the first state parameter information and the first fitting relationship, and send it to the background.

[0007] In this solution, the data acquisition module includes: The data acquisition unit is used to collect the operating data of the energy storage system, including the charging and discharging status, battery power, charging and discharging current, charging and discharging battery voltage or battery temperature; The data storage unit sets a corresponding storage quantity according to the type of operation data, and uses a first-in-first-out storage rule to store the first state parameter information.

[0008] In this solution, the data comparison module includes: The data estimation unit is used to estimate the second state parameter information according to the second fitting relationship, and transmit the second state parameter information to the threshold generation unit and the data comparison unit; The threshold value generating unit is used to obtain a first state parameter threshold value for data comparison according to the type of operation data and the second state parameter information, and transmit the first state parameter threshold value to the data comparison unit; The data comparison unit compares the difference between the first state parameter information and the second state parameter information with the magnitude relationship of the first state parameter threshold to obtain the result of correlation comparison between the first state parameter information and the second state parameter information.

[0009] In this solution, the curve generation module includes: The curve fitting unit is used to obtain a first fitting relationship according to the stored state parameter record of the energy storage system and the first state parameter information and according to a set curve fitting library; The correlation coefficient unit is used to calculate a first correlation coefficient between the first fitting relationship and the stored state parameter record of the energy storage system.

[0010] In this solution, the data transmission module includes: The first instruction generating unit is used to obtain a first transmission instruction according to the first state parameter information and the first fitting relationship in accordance with a set data frame format; The data transmission unit is used to send the first transmission instruction to the background according to the wired network transmission or wireless network transmission method.

[0011] This plan also includes: Data exception processing module; When the correlation comparison between the first state parameter information and the second state parameter information fails, the data anomaly processing module is used to determine whether the first state parameter information is abnormal data, and if so, does not enter the curve generation module.

[0012] In this solution, the data anomaly processing module includes: The data verification unit is used to determine whether the first state parameter information is abnormal data according to the stored state parameter record of the energy storage system and the first state parameter information; The data exception processing unit is used to determine whether the first state parameter information is abnormal data. If so, it does not enter the curve generation module; if not, it enters the curve generation module and the data transmission module.

[0013] In this solution, the data verification unit also includes: The abnormal threshold generator is used to obtain a first abnormal threshold range according to the stored state parameter records of the energy storage system and the preset abnormal threshold generation rules.

[0014] In this solution, the fitting exception processing module includes: The second instruction generating unit is used to obtain a second transmission instruction according to the first state parameter information and the set abnormal data frame format.

[0015] Fitting exception handling module; When the first correlation coefficients of all fitting rules are lower than a preset correlation coefficient threshold, the fitting exception processing module is used to generate a second transmission instruction according to the first state parameter information, and transmit the second transmission instruction to the data transmission unit of the data transmission module.

[0016] This plan also includes: The present invention provides an energy storage EMS data intelligent acquisition system. First, a data acquisition module is used to acquire and store first state parameter information of an energy storage system, and the first state parameter information is transmitted to a data comparison module. Secondly, after the second state parameter information is generated by the data comparison module, it is used to compare the correlation with the first state parameter information. If the correlation comparison fails, the first state parameter information is transmitted to a curve generation module. Then, the curve generation module is used to fit the set curve to obtain a first fitting relationship, and the first fitting relationship is transmitted to a data transmission module. Finally, the data transmission module is used to generate a first transmission instruction and send it to a background. The transmission of the energy storage system operation parameter data can be realized, the accuracy of data analysis can be improved, and the transmission data can be compressed, so as to reduce the transmission traffic cost and the cloud maintenance cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and should not be regarded as limiting the scope.

[0018] Figure 1 A schematic diagram of an energy storage EMS data intelligent acquisition system of the present invention is shown; Figure 2 A block diagram of a data acquisition module provided by an embodiment of the present invention is shown; Figure 3 A block diagram of a data comparison module provided in an embodiment of the present invention is shown; Figure 4 A block diagram of a curve generating module provided by an embodiment of the present invention is shown; Figure 5 A block diagram of a data transmission module provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0019] 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.

[0020] Unless otherwise defined, all terms (including technical and scientific terms) used in the embodiments of the present invention have the same meanings as commonly understood by those skilled in the art to which the present invention belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having meanings consistent with their meanings in the context of the relevant technology, and should not be interpreted in an idealized or extremely formal sense, unless the embodiments of the present invention are explicitly defined in this way.

[0021] The words "first", "second" and similar words used in the embodiments of the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Words such as "one", "an" or "the" and similar words do not indicate a quantity limitation, but indicate the existence of at least one. Similarly, words such as "include" or "comprise" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The steps before or after the method of the embodiment of the present invention are not necessarily carried out in order. On the contrary, various steps can be processed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or a step or several steps can be removed from these processes.

[0022] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0023] Figure 1 A schematic diagram of an energy storage EMS data intelligent acquisition system of the present invention is shown.

[0024] like Figure 1 As shown, the present invention discloses an energy storage EMS data intelligent acquisition system, the system comprising: The data acquisition module 101 is used to collect and store first state parameter information of the energy storage system, and transmit the first state parameter information to the data comparison module; The data comparison module 102 is used to compare the correlation between the first state parameter information and the second state parameter information after generating the second state parameter information. If the correlation comparison fails, the first state parameter information is transmitted to the curve generation module; The curve generation module 103 is used to obtain a first fitting relationship according to the stored state parameter record of the energy storage system and the first state parameter information according to the set curve fitting, and then transmit the first fitting relationship to the data transmission module; The data transmission module 104 is used to generate a first transmission instruction according to the first state parameter information and the first fitting relationship, and send it to the background.

[0025] It should be noted that the data acquisition module first collects the working state parameters of the energy storage system through the corresponding detection circuit or sensor according to the set time period, which are also called operating data, including but not limited to the charging and discharging state, battery power, charging and discharging current, charging and discharging battery voltage or battery temperature, and records them as the first state parameter information. The data acquisition module then stores and records the different types of data in the first state parameter information according to the set storage space, and can obtain battery power records, charging and discharging current records, charging and discharging battery voltage records, battery temperature records, etc., that is, the state parameter records of the energy storage system. The data comparison module first calculates the estimated value of the working state parameter of the energy storage system according to the fitting relationship sent to the background in the previous round, that is, the second fitting relationship, that is, the second state parameter information. The data comparison module then compares the correlation between the first state parameter information and the second state parameter information according to the set correlation comparison rules. When the correlation comparison passes, it means that the similarity between the first state parameter information and the second state parameter information meets the set requirements, that is, the second state parameter information can represent the first state parameter information in the background, that is, the background can calculate the working state parameter of the energy storage system through the second fitting relationship. At this time, the energy storage EMS does not need to send the first state parameter information, thereby achieving the effect of reducing the data transmission volume, reducing the transmission traffic cost and the cloud maintenance cost while ensuring the data accuracy of the working state parameter. When the correlation comparison fails, it means that the difference between the first state parameter information and the second state parameter information is large, and the first state parameter information needs to be transmitted to the background to ensure data accuracy. In this embodiment, the first fitting relationship is obtained by the curve generation module, which is used to replace the first state parameter information and transmit it to the background. The curve generation module obtains the first fitting relationship according to the state parameter record of the energy storage system and the first state parameter information according to the set curve fitting rules; wherein the curve fitting rules include but are not limited to first-order fitting, second-order fitting, polynomial fitting, exponential fitting, logarithmic fitting, etc.; when the correlation degree of the fitting meets the set requirements, the similarity value of the first state parameter information can be calculated by the first fitting relationship. The data transmission module generates a first transmission instruction from the first fitting relational expression according to the set data frame format and the category of the working state parameter for sending to the background. In this embodiment, the data to be transmitted is represented by the fitting relational expression, and the accuracy of the parameter data is ensured by comparing the correlation between the collected parameter data and the estimated value of the fitting relational expression; and when the newly collected parameter data is similar to the estimated value of the fitting relational expression, it does not need to be transmitted, thereby reducing the transmission traffic cost and cloud maintenance cost.

[0026] Figure 2A block diagram of a data acquisition module provided by an embodiment of the present invention is shown; According to an embodiment of the present invention, Figure 2 As shown, the data acquisition module includes: The data acquisition unit 201 is used to collect the operating data of the energy storage system, including the charging and discharging state, battery power, charging and discharging current, charging and discharging battery voltage or battery temperature; The data storage unit 202 sets a corresponding storage quantity according to the type of operation data, and uses a first-in-first-out storage rule to store the first state parameter information.

[0027] It should be noted that the data acquisition module is used to collect and store the operating data of the energy storage system, including a data acquisition unit and a data storage unit. The data acquisition unit is a parameter detection circuit or sensor, which is used to collect working state parameters of the energy storage system including but not limited to charging and discharging state, battery power, charging and discharging current, charging and discharging battery voltage or battery temperature. The data storage unit is set with corresponding storage space according to the characteristics of each operating data; for example, the storage space for charging and discharging current or charging and discharging voltage is 20 data, and the storage space for battery temperature is 50 data. In addition, the storage space adopts a first-in-first-out storage rule, that is, the earliest stored data is moved out of the storage space first, so that the data retained in the storage space are all the latest data, which can accurately reflect the real-time operation of the energy storage system.

[0028] Figure 3 A block diagram of a data acquisition module provided by an embodiment of the present invention is shown; According to an embodiment of the present invention, Figure 3 As shown, the data comparison module includes: The data estimation unit 301 is used to estimate the second state parameter information according to the second fitting relationship, and transmit the second state parameter information to the threshold generation unit and the data comparison unit; The threshold value generating unit 302 is used to obtain a first state parameter threshold value for data comparison according to the type of operation data and the second state parameter information, and transmit the first state parameter threshold value to the data comparison unit; The data comparison unit 303 compares the difference between the first state parameter information and the second state parameter information with the magnitude relationship of the first state parameter threshold to obtain the correlation comparison result between the first state parameter information and the second state parameter information.

[0029] It should be noted that the data estimation unit calculates the estimated value of the working state parameter of the energy storage system, i.e., the second state parameter information, according to the fitting relationship sent to the background in the previous round, i.e., the second fitting relationship, for the calculation of the state parameter threshold and data comparison. The threshold generation unit sets the error range according to the type of operation data, and then obtains the first state parameter threshold in combination with the second state parameter information to indicate the deviation value between the first state parameter information and the second state parameter information allowed. For example, the error range set for the battery temperature value is 1%. When the temperature value in the second state parameter information is 25°C, the first state parameter threshold obtained is 0.25°C. The data comparison unit calculates the difference between the first state parameter information and the second state parameter information, and then compares the difference with the first state parameter threshold; when the difference is not greater than the first state parameter threshold, it indicates that the deviation between the first state parameter information and the second state parameter information is small, and it is determined that the correlation comparison is passed; when the difference is greater than the first state parameter threshold, it indicates that the deviation between the first state parameter information and the second state parameter information is large, and it is determined that the correlation comparison is not passed. This embodiment sets different error ranges according to the data type to improve the accuracy of the data.

[0030] Figure 4 A block diagram of a data acquisition module provided by an embodiment of the present invention is shown; According to an embodiment of the present invention, Figure 4 As shown, the curve generation module includes: The curve fitting unit 401 is used to obtain a first fitting relationship according to the stored state parameter record of the energy storage system and the first state parameter information and according to a set curve fitting library; The correlation coefficient unit 402 is used to calculate a first correlation coefficient between the first fitting relationship and the stored state parameter record of the energy storage system.

[0031] It should be noted that the curve fitting unit obtains the first fitting relationship according to the state parameter record of the energy storage system and the first state parameter information according to the set curve fitting library; wherein the curve fitting library includes but is not limited to a first-order fitting rule, a second-order fitting rule, a polynomial fitting rule, an exponential fitting rule, a logarithmic fitting rule, etc. The correlation coefficient unit is used to calculate the correlation coefficient between the first fitting relationship and the stored state parameter record of the energy storage system, that is, the first correlation coefficient; wherein the first correlation coefficient represents the degree of deviation between the fitting relationship and the recorded data, and the closer the correlation coefficient is to 1, the stronger the correlation it represents, that is, the smaller the fitting deviation. In this embodiment, the first state parameter information can be represented by the first fitting relationship when and only when the first correlation coefficient is greater than 0.99, thereby ensuring the accuracy of the data.

[0032] Figure 5A block diagram of a data acquisition module provided by an embodiment of the present invention is shown; According to an embodiment of the present invention, Figure 5 As shown, the data transmission module includes: The first instruction generating unit 501 is used to obtain a first transmission instruction according to the first state parameter information and the first fitting relationship in accordance with a set data frame format; The data transmission unit 502 is used to send the first transmission instruction to the background according to the wired network transmission or wireless network transmission method.

[0033] It should be noted that the first instruction generation unit determines the data type code in the first transmission instruction according to the type of running data in the first state parameter information, and determines the fitting rule code and parameter length of the first transmission instruction according to the fitting rule of the first fitting relationship, thereby obtaining the first transmission instruction. The data transmission unit sends the first transmission instruction to the background through a wired network or a wireless network by scheduled sending or instant sending.

[0034] According to an embodiment of the present invention, it also includes: Data exception processing module; When the correlation comparison between the first state parameter information and the second state parameter information fails, the data anomaly processing module is used to determine whether the first state parameter information is abnormal data, and if so, does not enter the curve generation module.

[0035] It should be noted that, in this embodiment, when the data comparison module determines that the correlation comparison between the first state parameter information and the second state parameter information fails, the first state parameter information will be judged as abnormal data according to the set abnormal data judgment rule. When the first state parameter information is judged as abnormal data, it is determined that there is a possibility of collection abnormality. Therefore, the first state parameter information of this round is processed abnormally, that is, the curve generation module is not entered, and the background enters the state parameters according to the second state parameter information.

[0036] According to an embodiment of the present invention, the data exception processing module includes: The data verification unit is used to determine whether the first state parameter information is abnormal data according to the stored state parameter record of the energy storage system and the first state parameter information; The data exception processing unit is used to determine whether the first state parameter information is abnormal data. If so, it does not enter the curve generation module; if not, it enters the curve generation module and the data transmission module.

[0037] It should be noted that the data anomaly processing module includes a data verification unit and a data anomaly processing unit. The data verification unit is used to determine whether the first state parameter information is abnormal data. First, the abnormal threshold range is obtained according to the stored state parameter record of the energy storage system, and then it is determined whether the first state parameter information is within the abnormal threshold range. If so, it indicates that the current first state parameter information is abnormal data. The data anomaly processing unit is used to select whether to enter the curve generation module according to the verification result of the data verification unit. When the first state parameter information is abnormal data, the curve generation module is not entered, that is, the background enters the state parameters according to the second state parameter information; when the first state parameter information is not abnormal data, the curve generation module is entered, that is, the background needs to enter the state parameters according to the generated first fitting relationship.

[0038] According to an embodiment of the present invention, the data verification unit further includes: The abnormal threshold generator is used to obtain a first abnormal threshold range according to the stored state parameter records of the energy storage system and the preset abnormal threshold generation rules.

[0039] It should be noted that the abnormal threshold generator obtains the first abnormal threshold range according to the set abnormal threshold generation rule. As an implementation mode, the abnormal threshold generator first obtains the first arithmetic mean according to the stored state parameter record of the energy storage system according to the weighted average algorithm; then, the first abnormal threshold range is calculated according to the set deviation range; for example, the first arithmetic mean is 100 units and the deviation range is 30%, then the first abnormal threshold range can be obtained to be less than 70 units or greater than 130 units.

[0040] According to an embodiment of the present invention, it also includes: Fitting exception handling module; When the first correlation coefficients of all fitting rules are lower than a preset correlation coefficient threshold, the fitting exception processing module is used to generate a second transmission instruction according to the first state parameter information, and transmit the second transmission instruction to the data transmission unit of the data transmission module.

[0041] It should be noted that, in this embodiment, the correlation coefficient of the relationship after curve fitting is judged against the preset correlation coefficient threshold. When the correlation coefficients of the relationship obtained by all fitting rules of the curve fitting library are lower than the preset correlation coefficient threshold, it means that the fitting relationship obtained by all fitting rules in the curve fitting library cannot accurately reflect the first state parameter information, and it can be determined that the fitting fails. When the fitting fails, a second transmission instruction is generated according to the first state parameter information, and the second transmission instruction is sent to the background through the data transmission module.

[0042] According to an embodiment of the present invention, the fitting exception processing module includes: The second instruction generating unit is used to obtain a second transmission instruction according to the first state parameter information and the set abnormal data frame format.

[0043] It should be noted that the second instruction generating unit determines the data type code in the second transmission instruction according to the type of running data in the first state parameter information, and determines the transmission data according to the parameter value of the first state parameter information, thereby obtaining the second transmission instruction.

[0044] It is worth mentioning that it also includes: A fitting curve generating module, used for sending at least two consecutive second transmission instructions to the first neural network to obtain a first fitting curve; The first fitting curve is used to update the curve fitting library.

[0045] It should be noted that when the second transmission instruction is sent multiple times in succession, it means that the curve fitting is in an abnormal state for multiple times in succession, which means that the fitting rules in the curve fitting library are not applicable. At this time, by sending multiple second transmission instructions to the first neural network, the first neural network outputs the first fitting curve. The curve fitting library is updated by the first fitting curve, thereby improving the adaptability of the curve fitting.

[0046] In summary, the present invention provides an energy storage EMS data intelligent acquisition system. First, the first state parameter information of the energy storage system is collected and stored through the data acquisition module, and the first state parameter information is transmitted to the data comparison module; secondly, after the second state parameter information is generated by the data comparison module, it is used to compare the correlation with the first state parameter information. If the correlation comparison fails, the first state parameter information is transmitted to the curve generation module; then, the curve generation module is used to fit the set curve to obtain a first fitting relationship, and then the first fitting relationship is transmitted to the data transmission module; finally, the data transmission module is used to generate a first transmission instruction and send it to the background; the transmission of the energy storage system operation parameter data can be realized, the accuracy of data analysis can be improved, and the transmission data can be compressed, so as to reduce the transmission traffic cost and cloud maintenance cost.

[0047] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0048] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An energy storage EMS data intelligent acquisition system, characterized in that: The system comprises: The data acquisition module is used to collect and store first state parameter information of the energy storage system, and transmit the first state parameter information to the data comparison module; The data comparison module is used to compare the correlation between the first state parameter information and the second state parameter information after generating the second state parameter information, and if the correlation comparison fails, transmit the first state parameter information to the curve generation module; The curve generation module is used to obtain a first fitting relationship according to the stored state parameter record of the energy storage system and the first state parameter information according to the set curve fitting, and then transmit the first fitting relationship to the data transmission module; The data transmission module is used to generate a first transmission instruction according to the first state parameter information and the first fitting relationship, and send it to the background.

2. The energy storage EMS data intelligent acquisition system according to claim 1 is characterized in that: The data acquisition module comprises: The data acquisition unit is used to collect the operating data of the energy storage system, including the charging and discharging status, battery power, charging and discharging current, charging and discharging battery voltage or battery temperature; The data storage unit sets a corresponding storage quantity according to the type of operation data, and uses a first-in-first-out storage rule to store the first state parameter information.

3. The energy storage EMS data intelligent acquisition system according to claim 1 is characterized in that: The data comparison module includes: The data estimation unit is used to estimate the second state parameter information according to the second fitting relationship, and transmit the second state parameter information to the threshold generation unit and the data comparison unit; The threshold value generating unit is used to obtain a first state parameter threshold value for data comparison according to the type of operation data and the second state parameter information, and transmit the first state parameter threshold value to the data comparison unit; The data comparison unit compares the difference between the first state parameter information and the second state parameter information with the magnitude relationship of the first state parameter threshold to obtain the result of correlation comparison between the first state parameter information and the second state parameter information.

4. The energy storage EMS data intelligent acquisition system according to claim 1 is characterized in that: The curve generation module comprises: The curve fitting unit is used to obtain a first fitting relationship according to the stored state parameter record of the energy storage system and the first state parameter information and according to a set curve fitting library; The correlation coefficient unit is used to calculate a first correlation coefficient between the first fitting relationship and the stored state parameter record of the energy storage system.

5. The energy storage EMS data intelligent acquisition system according to claim 1 is characterized in that: The data transmission module comprises: The first instruction generating unit is used to obtain a first transmission instruction according to the first state parameter information and the first fitting relationship in accordance with a set data frame format; The data transmission unit is used to send the first transmission instruction to the background according to the wired network transmission or wireless network transmission method.

6. The energy storage EMS data intelligent acquisition system according to claim 1, characterized in that: Also includes: Data exception processing module; When the correlation comparison between the first state parameter information and the second state parameter information fails, the data anomaly processing module is used to determine whether the first state parameter information is abnormal data, and if so, does not enter the curve generation module.

7. The energy storage EMS data intelligent acquisition system according to claim 6, characterized in that: The data exception processing module includes: The data verification unit is used to determine whether the first state parameter information is abnormal data according to the stored state parameter record of the energy storage system and the first state parameter information; The data exception processing unit is used to determine whether the first state parameter information is abnormal data. If so, it does not enter the curve generation module; if not, it enters the curve generation module and the data transmission module.

8. The energy storage EMS data intelligent acquisition system according to claim 7, characterized in that: The data verification unit also includes: The abnormal threshold generator is used to obtain a first abnormal threshold range according to the stored state parameter records of the energy storage system and the preset abnormal threshold generation rules.

9. The energy storage EMS data intelligent acquisition system according to claim 4, characterized in that: Also includes: Fitting exception handling module; When the first correlation coefficients of all fitting rules are lower than a preset correlation coefficient threshold, the fitting exception processing module is used to generate a second transmission instruction according to the first state parameter information, and transmit the second transmission instruction to the data transmission unit of the data transmission module.

10. The energy storage EMS data intelligent acquisition system according to claim 9, characterized in that: The fitting exception processing module includes: The second instruction generating unit is used to obtain a second transmission instruction according to the first state parameter information and the set abnormal data frame format.

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