An energy storage system and method using waste heat for energy storage

Abstract

The present invention discloses an energy storage system and method using waste heat energy storage, relating to the technical field of waste heat power generation. The present invention retrieves historical energy storage records, obtains the operating parameters of each energy storage link, determines the energy conversion rate threshold of each energy storage process according to the numerical values of the operating parameters; screens abnormal records, calculates the change rate of the operating parameters in the abnormal records, determines the abnormal change rate, and determines the characteristic parameters of the energy storage process according to the quantity of the abnormal change rate; counts characteristic records, calculates the characteristic score of the sampling time period in the characteristic records, and constructs a characteristic curve graph of the energy storage process; draws a real-time characteristic curve graph of the energy storage process, combines it with the characteristic curve graph of the energy storage process, calculates the system score of the energy storage system, and judges the early warning state according to the situation of the system score and the system score threshold, so as to improve the stability of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of waste heat power generation, and specifically to an energy storage system and method using waste heat energy storage. Background Art

[0002] Currently, the world's energy structure is still dominated by fossil energy. The power sources in most regions mainly rely on the combustion of fossil energy, and the carbon dioxide emitted from the combustion of fossil fuels is the main source of greenhouse gases. Due to technical limitations, the utilization rate of fossil energy is not high at present, and it also causes damage to the environment;

[0003] With the progress of society, humans recycle and utilize the waste heat generated by the combustion of fossil energy, convert the originally wasted thermal energy into electrical energy, thereby improving the overall energy utilization efficiency, reducing the demand for fossil fuels, and thus reducing the emissions of greenhouse gases such as carbon dioxide, promoting environmental protection and sustainable development;

[0004] Waste heat energy storage is to use waste heat to melt metal salts, thereby electrolyzing elemental metals, and then using the elemental metals to form metal-air batteries with air for power generation, constituting an electrolysis-power generation cycle process to achieve the efficient utilization of waste heat. However, during the electrolysis and power generation processes, the conversion rate will fluctuate. If the system is adjusted when the conversion rate decreases, it will affect the overall performance. Therefore, how to determine that the system needs to be adjusted has become the key to ensuring the efficiency of the waste heat energy storage system, avoiding energy waste or overloading, and improving the stability of the system. Summary of the Invention

[0005] The purpose of the present invention is to provide an energy storage system and method using waste heat energy storage to solve the problems raised in the prior art.

[0006] To solve the above technical problems, the present invention provides the following technical solution: An energy storage method using waste heat energy storage, the method comprising:

[0007] Step S100: In different energy storage links, arrange corresponding sensors to monitor the operating parameters of the energy storage link, obtain the operating parameters of each energy storage link by retrieving historical energy storage records, and determine the energy conversion rate threshold of each energy storage process according to the numerical values of the operating parameters;

[0008] Step S200: Screen abnormal records, calculate the change rate of the operating parameters in the abnormal records, determine the abnormal change rate, and determine the characteristic parameters of the energy storage process according to the quantity of the abnormal change rate;

[0009] Step S300: Statistically analyze characteristic records, calculate the characteristic score of the sampling time period in the characteristic records, and construct a characteristic curve graph of the energy storage process by calculating the average characteristic score of the sampling time period;

[0010] Step S400: Draw a real-time characteristic curve of the energy storage process. Combine the characteristic curve of the energy storage process to calculate the system score of the energy storage system, and judge the warning state according to the situation of the system score and the system score threshold.

[0011] Further, step S100 includes:

[0012] Step S101: Set two adjacent energy storage links with relevance as an energy storage process. The relevance is that the energy and substances output by the previous energy storage link are directly used as the input of the next energy storage link. Set the previous energy storage link in the energy storage process as the first link and the next energy storage link as the second link; Obtain the historical energy storage records of a certain energy storage process. In a certain historical energy storage record, obtain the numerical values of each operating parameter corresponding to all links in the energy storage process;

[0013] Step S102: Obtain the difference in operating parameters before and after a certain link works, and calculate the equivalent energy of a certain link according to the following formula:

[0014] ;

[0015] Among them, E represents the equivalent energy of a certain link, A a represents the difference in the a-th operating parameter, represents the weight of the a-th operating parameter, and b represents the total number of operating parameters in a certain link;

[0016] Step S103: Obtain the equivalent energy of all links in the energy storage process, and calculate the energy conversion rate of a certain energy storage process according to the following energy conversion rate formula:

[0017] ;

[0018] Among them, N represents the energy conversion rate of a certain energy storage process, E1 represents the equivalent energy of the first link in a certain energy storage process, and E2 represents the equivalent energy of the second link in a certain energy storage process;

[0019] Step S104: Obtain the energy conversion rates of all historical energy storage records in a certain energy storage process, and obtain that the average value of the energy conversion rate is c and the standard deviation is d. Calculate the energy conversion rate threshold of a certain energy storage process according to the following formula: P = c + d * e;

[0020] Among them, P represents the energy conversion rate threshold, and e represents a preset constant;

[0021] The waste heat energy storage system includes an electrolysis link, a metal power generation link, etc. The operating parameters include temperature, metal weight, etc.;

[0022] By calculating the equivalent energy of each energy storage link, the impact of operating parameters on the link performance can be quantified, realizing the quantitative analysis of the performance of a single link in the energy storage system; by setting a reasonable energy conversion rate threshold, the operation status of the process can be monitored, providing data support for subsequent analysis.

[0023] Further, step S200 includes:

[0024] Step S201: Compare the energy conversion rates of all historical energy storage records in a certain energy storage process with the energy conversion rate threshold of the energy storage process, set the historical energy storage records lower than the energy conversion rate threshold as abnormal records, and summarize the abnormal records of a certain energy storage process;

[0025] Step S202: In the set of abnormal records of a certain energy storage process, obtain the value of the qth operating parameter at the tth sampling time point in a certain abnormal record as Q(q, t), draw the operation curve of the qth operating parameter in the abnormal record, with the sampling time point as the abscissa and the value of the operating parameter as the ordinate of the operation curve, and calculate the change rate of the operating parameter in a certain sampling time period according to the following formula:

[0026] ;

[0027] Among them, R(q, t') represents the change rate of the qth operating parameter in the t'th sampling time period, Q(q, t + 1) represents the value of the qth operating parameter at the (t + 1)th sampling time point, represents the time interval of the t'th sampling time period;

[0028] Step S203: Set a change rate threshold for a certain operating parameter, compare each change rate of a certain operating parameter in an abnormal record with the change rate threshold of the operating parameter, and if the change rate threshold is not satisfied, set the change rate as an abnormal change rate;

[0029] Step S204: Count the number of abnormal change rates of a certain operating parameter in all abnormal records of a certain energy storage process as B, obtain the total number of abnormal change rates in a certain energy storage process as D, and calculate the occurrence frequency of the abnormal change rate of a certain operating parameter as B / D;

[0030] Step S205: Set an occurrence frequency threshold, compare the occurrence frequency of a certain operating parameter with the occurrence frequency threshold, and if it exceeds the occurrence frequency threshold, set the operating parameter as a characteristic parameter;

[0031] By setting the energy conversion rate threshold, abnormal energy storage records with low energy conversion efficiency can be effectively screened out, thereby improving the accuracy of abnormal data identification;

[0032] The change rate of the calculation operation parameters is calculated, and the change rate threshold is set, realizing the quantitative determination of the abnormal change rate, which helps to more accurately identify the abnormal operation state of the device. By counting the number of abnormal change rates and the occurrence frequency of the abnormal change rates, the severity and distribution of the abnormal conditions can be comprehensively reflected, thus supporting a more comprehensive abnormal analysis;

[0033] Based on the frequency threshold of the abnormal change rate, the key parameters that frequently appear in the abnormal records can be automatically identified and set as characteristic parameters, which helps subsequent device maintenance. Moreover, based on data statistics and change rate calculation, it can provide data-driven decision support for the maintenance strategy of the energy storage system and reduce human judgment errors.

[0034] Further, step S300 includes:

[0035] Step S301: Select a continuous number of days as the training period, obtain the energy conversion rate of any energy storage process in each energy storage record, compare the energy conversion rate of a certain energy storage process with the energy conversion rate threshold of the energy storage process. If it exceeds the energy conversion rate threshold, set the energy storage record as a characteristic record, and summarize the characteristic records of a certain energy storage process;

[0036] Step S302: In the set of characteristic records of a certain energy storage process, obtain the equivalent energy corresponding to a certain energy storage link in a certain collection time period in a certain characteristic record. Through the energy conversion rate formula, calculate the energy conversion rate of the collection time period, obtain the change rate of the characteristic parameters of the collection time period, and calculate the characteristic score according to the following formula:

[0037] ;

[0038] Among them, X(ts) represents the characteristic score of the ts-th collection time period, N(ts) represents the energy conversion rate of the ts-th collection time period, Q(i, ts) represents the change rate of the i-th characteristic parameter in the ts-th collection time period, W N represents the weight of the energy conversion rate, W Q（i） represents the weight of the change rate of the i-th characteristic parameter, and r represents the total number of characteristic parameters;

[0039] Step S303: Summarize the characteristic scores corresponding to all the characteristic records of a certain energy storage process in a certain collection time period to obtain the average characteristic score of the energy storage process in the collection time period; draw a characteristic curve of a certain energy storage process, where the vertical coordinate of the characteristic curve is the average characteristic score of the energy storage process, and the horizontal coordinate is the collection time period;

[0040] By comparing with the energy conversion rate threshold, high-quality energy storage records exceeding the energy conversion rate threshold can be effectively screened out and classified as characteristic records, avoiding the interference of inefficient energy records on the analysis results;

[0041] Among the characteristic records, calculating the energy conversion rate and the change rate of characteristic parameters based on a specific acquisition time period can fully reflect the operating efficiency of the energy storage process and the dynamic changes of key indicators, improving the comprehensiveness of the analysis;

[0042] By introducing a characteristic scoring calculation formula and comprehensively considering the energy conversion rate, the change rate of characteristic parameters and their weights, a quantitative evaluation index is assigned to each acquisition time period, which helps to scientifically evaluate the quality of the energy storage process;

[0043] Calculate the average characteristic score of the energy storage process and draw a characteristic curve graph. Taking the average characteristic score and the acquisition time period as coordinates, the trend of the performance of the energy storage process changing with time can be intuitively displayed, which is convenient for monitoring and diagnosis.

[0044] Furthermore, step S400 includes:

[0045] Step S401: Obtain the real-time characteristic scores of a certain energy storage process in all acquisition time periods, draw the real-time characteristic curve graph of the energy storage process, map the real-time characteristic curve graph to the characteristic curve graph of the energy storage process. If the real-time characteristic curve is higher than the characteristic curve in a certain acquisition time period, set the acquisition time period as the first time period. If the real-time characteristic curve is lower than the characteristic curve in a certain acquisition time period, set the acquisition time period as the second time period;

[0046] Step S402: Summarize the first time period and the second time period of a certain energy storage process. In a certain time period set, collect the real-time characteristic score X1 corresponding to a certain time period in the real-time characteristic curve graph, obtain the characteristic score X2 corresponding to the time period in the characteristic curve graph, and calculate the fluctuation value of the time period as ;

[0047] Step S403: Set several fluctuation levels, obtain the fluctuation value ranges corresponding to each fluctuation level, determine the fluctuation levels corresponding to all time periods in a certain energy storage process, assign values to each fluctuation level, and calculate the system score of the energy storage system according to the following formula:

[0048] ;

[0049] Among them, Y represents the system score of the energy storage system, K(n, u) represents the fluctuation level value of the u-th time period in the first time period of the n-th energy storage process, H(n, u) represents the weight value of the fluctuation level of the u-th time period in the first time period of the n-th energy storage process, K(n, g) represents the fluctuation level value of the g-th time period in the second time period of the n-th energy storage process, H(n, g) represents the weight value of the fluctuation level of the g-th time period in the second time period of the n-th energy storage process, nf represents the total number of the first time period in the n-th energy storage process, nj represents the total number of the second time period in the n-th energy storage process, and m represents the total number of energy storage processes;

[0050] Step S404: Set a system score threshold, compare the system score of the energy storage system with the system score threshold. If it exceeds the system score threshold, an alarm is issued to remind the staff to conduct an inspection;

[0051] During all the acquisition time periods, by plotting a real-time characteristic curve and comparing it with the characteristic curve, the performance fluctuations of the energy storage process can be dynamically captured, and the operating status of the energy storage process can be evaluated in real time;

[0052] By comparing the real-time characteristic curve with the characteristic curve, the acquisition time period is divided into a first time period and a second time period, realizing the precise classification of the performance fluctuations of the energy storage process and providing a data basis for subsequent fluctuation analysis;

[0053] Calculating the fluctuation value of each time period and dividing the fluctuation level based on the fluctuation value can quantify the degree of performance fluctuations of the energy storage process, facilitating the analysis and tracking of the stability of the energy storage system;

[0054] Comparing the system score with the set score threshold and automatically issuing an alarm if it exceeds the threshold to remind the operation and maintenance personnel to conduct an inspection can achieve early warning of abnormal situations and avoid major accidents or performance degradation.

[0055] In order to better implement the above method, an energy storage system using waste heat energy storage is also proposed. The system includes an energy conversion rate module, a characteristic parameter module, a characteristic curve graph module, and a real-time early warning module;

[0056] Energy conversion rate module: In different energy storage links, corresponding sensors are arranged to monitor the operating parameters of the energy storage link. By retrieving historical energy storage records, the operating parameters of each energy storage link are obtained, and according to the numerical conditions of the operating parameters, the energy conversion rate threshold of each energy storage process is determined;

[0057] Characteristic parameter module: Screening abnormal records, calculating the change rate of the operating parameters in the abnormal records, determining the abnormal change rate, and according to the quantity situation of the abnormal change rate, determining the characteristic parameters of the energy storage process;

[0058] Characteristic Curve Module: Statistically record features, calculate the feature scores for the sampling time periods in the feature records, and construct the characteristic curve of the energy storage process by calculating the average feature scores for the sampling time periods;

[0059] Real-time Warning Module: Draw the real-time characteristic curve of the energy storage process, combine it with the characteristic curve of the energy storage process, calculate the system score of the energy storage system, and judge the warning status based on the relationship between the system score and the system score threshold.

[0060] Furthermore, the energy conversion rate module includes an equivalent energy unit and an energy conversion rate threshold determination unit:

[0061] Equivalent Energy Unit: Set two adjacent energy storage links with a correlation as an energy storage process, set the previous energy storage link in the energy storage process as the first link, and the subsequent energy storage link as the second link; Obtain the historical energy storage records of a certain energy storage process, in a certain historical energy storage record, obtain the values of each operating parameter corresponding to all links in the energy storage process, obtain the difference in operating parameters before and after a certain link works, and calculate the equivalent energy of a certain link;

[0062] Energy Conversion Rate Threshold Determination Unit: Obtain the equivalent energy of all links in the energy storage process, calculate the energy conversion rate of a certain energy storage process, obtain the energy conversion rates of all historical energy storage records in a certain energy storage process, obtain the average value and standard deviation of the energy conversion rate, and calculate the energy conversion rate threshold of a certain energy storage process.

[0063] Furthermore, the feature parameter module includes a change rate calculation unit and a feature parameter determination unit:

[0064] Change Rate Calculation Unit: Compare the energy conversion rates of all historical energy storage records in a certain energy storage process with the energy conversion rate threshold of the energy storage process, set the historical energy storage records lower than the energy conversion rate threshold as abnormal records, in the set of abnormal records of a certain energy storage process, obtain the value of the qth operating parameter at the tth sampling time point in a certain abnormal record, draw the operating curve of the qth operating parameter in the abnormal record, with the sampling time point as the abscissa and the value of the operating parameter as the ordinate, and calculate the change rate of the operating parameter in a certain sampling time period;

[0065] Determine characteristic parameter unit: Set the change rate threshold of a certain operating parameter, compare each change rate of a certain operating parameter in an abnormal record with the change rate threshold of the operating parameter. If the change rate threshold is not met, set the change rate as an abnormal change rate; count the number of abnormal change rates of a certain operating parameter in all abnormal records of a certain energy storage process, obtain the total number of abnormal change rates in a certain energy storage process, calculate the occurrence frequency of the abnormal change rate of a certain operating parameter, set the occurrence frequency threshold, compare the occurrence frequency of a certain operating parameter with the occurrence frequency threshold, and if it exceeds the occurrence frequency threshold, set the operating parameter as a characteristic parameter.

[0066] Further, the characteristic curve graph module includes a characteristic score calculation unit and a characteristic curve graph drawing unit:

[0067] Characteristic score calculation unit: Select a continuous number of days as the training period, obtain the energy conversion rate of any energy storage process in each energy storage record, compare the energy conversion rate of a certain energy storage process with the energy conversion rate threshold of the energy storage process. If it exceeds the energy conversion rate threshold, set the energy storage record as a characteristic record, summarize the characteristic records of a certain energy storage process, in the set of characteristic records of a certain energy storage process, obtain the equivalent energy corresponding to a certain energy storage link in a certain collection time period in a certain characteristic record, calculate the energy conversion rate of the collection time period through the energy conversion rate formula, obtain the change rate of the characteristic parameter of the collection time period, and calculate the characteristic score;

[0068] Characteristic curve graph drawing unit: Summarize the characteristic scores corresponding to all characteristic records of a certain energy storage process in a certain collection time period to obtain the average characteristic score of the energy storage process in the collection time period; draw the characteristic curve graph of a certain energy storage process, with the average characteristic score of the energy storage process as the ordinate and the collection time period as the abscissa.

[0069] Further, the real-time warning module includes a fluctuation value calculation unit and a warning judgment unit:

[0070] Fluctuation value calculation unit: Obtain the real-time characteristic scores of a certain energy storage process in all collection time periods, draw the real-time characteristic curve graph of the energy storage process, map the real-time characteristic curve graph to the characteristic curve graph of the energy storage process. If the real-time characteristic curve is higher than the characteristic curve in a certain collection time period, set the collection time period as the first time period. If the real-time characteristic curve is lower than the characteristic curve in a certain collection time period, set the collection time period as the second time period, summarize the first time period and the second time period of a certain energy storage process, in a certain time period set, collect the real-time characteristic scores corresponding to a certain time period in the real-time characteristic curve graph, obtain the characteristic scores corresponding to the time period in the characteristic curve graph, and calculate the fluctuation value of the time period;

[0071] Judgment and warning unit: Set several fluctuation levels, obtain the corresponding fluctuation value ranges for each fluctuation level, determine the fluctuation levels corresponding to all time periods in a certain energy storage process, assign values to each fluctuation level, calculate the system score of the energy storage system, set a system score threshold, compare the system score of the energy storage system with the system score threshold, and if it exceeds the system score threshold, issue an alarm to remind the staff to conduct an inspection.

[0072] Compared with the prior art, the beneficial effects of the present invention are:

[0073] By real-time monitoring and analyzing the operating status of the energy storage process, an early warning can be issued in a timely manner when abnormalities occur, helping the operation and maintenance personnel to respond quickly, thereby avoiding a decline in system performance or the occurrence of failures;

[0074] The dynamic monitoring of the characteristic score and the energy conversion rate can help monitor the operating status in the energy storage system and improve the system stability. Description of the Drawings

[0075] Figure 1 It is a schematic flow chart of an energy storage method using waste heat energy storage according to the present invention;

[0076] Figure 2 It is a schematic structural diagram of an energy storage system using waste heat energy storage according to the present invention. Detailed Embodiments

[0077] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0078] Please refer to Figure 1 and Figure 2 , the present invention provides a technical solution: an energy storage method using waste heat energy storage, the method includes:

[0079] Step S100: In different energy storage links, arrange corresponding sensors to monitor the operating parameters of the energy storage link, obtain the operating parameters of each energy storage link by retrieving historical energy storage records, and determine the energy conversion rate threshold of each energy storage process according to the numerical values of the operating parameters;

[0080] Among them, step S100 includes:

[0081] Step S101: Set two adjacent energy storage links with a correlation as an energy storage process. The correlation is that the energy and substances output by the previous energy storage link are directly used as the input of the next energy storage link. Set the previous energy storage link in the energy storage process as the first link and the next energy storage link as the second link; Obtain the historical energy storage records of a certain energy storage process. In a certain historical energy storage record, obtain the values of each operating parameter corresponding to all links in the energy storage process;

[0082] Step S102: Obtain the difference in operating parameters before and after a certain link works, and calculate the equivalent energy of a certain link according to the following formula:

[0083] ;

[0084] where E represents the equivalent energy of a certain link, A a represents the difference of the ath operating parameter, represents the weight of the ath operating parameter, and b represents the total number of operating parameters in a certain link;

[0085] Step S103: Obtain the equivalent energies of all links in the energy storage process, and calculate the energy conversion rate of a certain energy storage process according to the following energy conversion rate formula:

[0086] ;

[0087] where N represents the energy conversion rate of a certain energy storage process, E1 represents the equivalent energy of the first link in a certain energy storage process, and E2 represents the equivalent energy of the second link in a certain energy storage process;

[0088] Step S104: Obtain the energy conversion rates of all historical energy storage records in a certain energy storage process, and obtain that the average value of the energy conversion rates is c and the standard deviation is d. Calculate the energy conversion rate threshold of a certain energy storage process according to the following formula: P = c + d * e;

[0089] where P represents the energy conversion rate threshold, and e represents a preset constant;

[0090] For example, in the first energy storage process, the difference in the operating parameter A of the first link is 20, the difference in the operating parameter B is 0.1, and the difference in the operating parameter C is 5. It is calculated that the equivalent energy of the first link in the first energy storage process is 120.

[0091] Step S200: Screen abnormal records, calculate the change rate of operating parameters in the abnormal records, determine the abnormal change rate, and determine the characteristic parameters of the energy storage process according to the quantity situation of the abnormal change rate;

[0092] Among them, step S200 includes:

[0093] Step S201: Compare the energy conversion rates of all historical energy storage records in a certain energy storage process with the energy conversion rate threshold of the energy storage process, set the historical energy storage records with energy conversion rates lower than the threshold as abnormal records, and summarize the abnormal records of a certain energy storage process;

[0094] Step S202: In the set of abnormal records of a certain energy storage process, obtain the value Q(q, t) of the q-th operating parameter at the t-th sampling time point in a certain abnormal record, draw the operating curve of the q-th operating parameter in the abnormal record, with the sampling time point as the abscissa and the value of the operating parameter as the ordinate in the operating curve, and calculate the change rate of the operating parameter in a certain sampling period according to the following formula:

[0095] ;

[0096] where, R(q, t’) represents the change rate of the q-th operating parameter in the t’-th sampling period, Q(q, t + 1) represents the value of the q-th operating parameter at the (t + 1)-th sampling time point, represents the time interval of the t’-th sampling period;

[0097] Step S203: Set a change rate threshold for a certain operating parameter, compare each change rate of a certain operating parameter in an abnormal record with the change rate threshold of the operating parameter, and if the change rate threshold is not satisfied, set the change rate as an abnormal change rate;

[0098] Step S204: Count the number B of abnormal change rates of a certain operating parameter in all abnormal records of a certain energy storage process, obtain the total number D of abnormal change rates in a certain energy storage process, and calculate the occurrence frequency of the abnormal change rate of a certain operating parameter as B / D;

[0099] Step S205: Set an occurrence frequency threshold, compare the occurrence frequency of a certain operating parameter with the occurrence frequency threshold, and if it exceeds the occurrence frequency threshold, set the operating parameter as a characteristic parameter.

[0100] Step S300: Count characteristic records, calculate the characteristic score of the sampling period in the characteristic records, and construct the characteristic curve of the energy storage process by calculating the average characteristic score of the sampling period;

[0101] where, Step S300 includes:

[0102] Step S301: Select a continuous number of days as the training period, obtain the energy conversion rate of any energy storage process in each energy storage record, compare the energy conversion rate of a certain energy storage process with the energy conversion rate threshold of the energy storage process. If it exceeds the energy conversion rate threshold, set the energy storage record as a characteristic record, and summarize the characteristic records of a certain energy storage process;

[0103] Step S302: In the set of characteristic records of a certain energy storage process, obtain the equivalent energy corresponding to a certain energy storage link in a certain acquisition time period in a certain characteristic record. Through the energy conversion rate formula, calculate the energy conversion rate of the acquisition time period, obtain the change rate of the characteristic parameters of the acquisition time period, and calculate the characteristic score according to the following formula:

[0104] ;

[0105] Among them, X(ts) represents the characteristic score of the ts-th acquisition time period, N(ts) represents the energy conversion rate of the ts-th acquisition time period, Q(i, ts) represents the change rate of the i-th characteristic parameter in the ts-th acquisition time period, W N represents the weight of the energy conversion rate, W Q（i） represents the weight of the change rate of the i-th characteristic parameter, and r represents the total number of characteristic parameters;

[0106] Step S303: Summarize the characteristic scores corresponding to all the characteristic records of a certain energy storage process in a certain acquisition time period to obtain the average characteristic score of the energy storage process in the acquisition time period; draw a characteristic curve of a certain energy storage process, where the vertical coordinate of the characteristic curve is the average characteristic score of the energy storage process, and the horizontal coordinate is the acquisition time period;

[0107] For example, in the first acquisition time period, the energy conversion rate is 0.9, the change rate of characteristic parameter 1 is 0.05, and the change rate of characteristic parameter 2 is 0.08. Through calculation, the characteristic score of the first acquisition time period is 0.563.

[0108] Step S400: Draw a real-time characteristic curve of the energy storage process, combine the characteristic curve of the energy storage process, calculate the system score of the energy storage system, and judge the warning state according to the situation of the system score and the system score threshold;

[0109] Among them, Step S400 includes:

[0110] Step S401: Obtain the real-time characteristic scores of a certain energy storage process in all acquisition time periods, draw the real-time characteristic curve of the energy storage process, map the real-time characteristic curve to the characteristic curve of the energy storage process. If the real-time characteristic curve is higher than the characteristic curve in a certain acquisition time period, set the acquisition time period as the first time period; if the real-time characteristic curve is lower than the characteristic curve in a certain acquisition time period, set the acquisition time period as the second time period.

[0111] Step S402: Aggregate the first time period and the second time period of a certain energy storage process. In a certain time period set, collect the real-time characteristic score X1 corresponding to a certain time period in the real-time characteristic curve graph, obtain the characteristic score X2 corresponding to the time period in the characteristic curve graph, and calculate the fluctuation value of the time period as ;

[0112] Step S403: Set several fluctuation levels, obtain the fluctuation value ranges corresponding to each fluctuation level, determine the fluctuation levels corresponding to all time periods in a certain energy storage process, assign values to each fluctuation level, and calculate the system score of the energy storage system according to the following formula:

[0113] ;

[0114] where Y represents the system score of the energy storage system, K(n, u) represents the fluctuation level value of the u-th time period in the first time period of the n-th energy storage process, H(n, u) represents the weight value of the fluctuation level of the u-th time period in the first time period of the n-th energy storage process, K(n, g) represents the fluctuation level value of the g-th time period in the second time period of the n-th energy storage process, H(n, g) represents the weight value of the fluctuation level of the g-th time period in the second time period of the n-th energy storage process, nf represents the total number of time periods in the first time period of the n-th energy storage process, nj represents the total number of time periods in the second time period of the n-th energy storage process, and m represents the total number of energy storage processes.

[0115] Step S404: Set a system score threshold, compare the system score of the energy storage system with the system score threshold. If it exceeds the system score threshold, issue an alarm to remind the staff to check.

[0116] To better implement the above method, an energy storage system using waste heat energy storage is also proposed. The system includes an energy conversion rate module, a characteristic parameter module, a characteristic curve graph module, and a real-time warning module.

[0117] Energy conversion rate module: In different energy storage links, arrange corresponding sensors to monitor the operating parameters of the energy storage link. By retrieving historical energy storage records, obtain the operating parameters of each energy storage link, and determine the energy conversion rate threshold of each energy storage process according to the numerical conditions of the operating parameters.

[0118] Among them, the energy conversion rate module includes an equivalent energy unit and an energy conversion rate threshold determination unit:

[0119] Equivalent energy unit: Set two adjacent energy storage links with a correlation as an energy storage process, set the previous energy storage link in the energy storage process as the first link, and the latter energy storage link as the second link; Obtain the historical energy storage record of a certain energy storage process. In a certain historical energy storage record, obtain the numerical values of each operating parameter corresponding to all links in the energy storage process, obtain the difference in operating parameters before and after a certain link works, and calculate the equivalent energy of a certain link;

[0120] Energy conversion rate threshold determination unit: Obtain the equivalent energy of all links in the energy storage process, calculate the energy conversion rate of a certain energy storage process, obtain the energy conversion rates of all historical energy storage records in a certain energy storage process, obtain the average value and standard deviation of the energy conversion rate, and calculate the energy conversion rate threshold of a certain energy storage process.

[0121] Characteristic parameter module: Screen abnormal records, calculate the change rate of operating parameters in the abnormal records, determine the abnormal change rate, and determine the characteristic parameters of the energy storage process according to the quantity situation of the abnormal change rate;

[0122] Among them, the characteristic parameter module includes a change rate calculation unit and a characteristic parameter determination unit:

[0123] Change rate calculation unit: Compare the energy conversion rates of all historical energy storage records in a certain energy storage process with the energy conversion rate threshold of the energy storage process, set the historical energy storage records lower than the energy conversion rate threshold as abnormal records. In the set of abnormal records of a certain energy storage process, obtain the numerical value of the q-th operating parameter at the t-th sampling time point in a certain abnormal record, draw the operating curve of the q-th operating parameter in the abnormal record. The operating curve takes the sampling time point as the abscissa and the numerical value of the operating parameter as the ordinate, and calculate the change rate of the operating parameter in a certain sampling period;

[0124] Characteristic parameter determination unit: Set a change rate threshold for a certain operating parameter, compare each change rate of a certain operating parameter in a certain abnormal record with the change rate threshold of the operating parameter. If the change rate threshold is not met, set the change rate as an abnormal change rate; Count the number of abnormal change rates of a certain operating parameter in all abnormal records of a certain energy storage process, obtain the total number of abnormal change rates in a certain energy storage process, calculate the occurrence frequency of the abnormal change rate of a certain operating parameter, set an occurrence frequency threshold, compare the occurrence frequency of a certain operating parameter with the occurrence frequency threshold. If it exceeds the occurrence frequency threshold, set the operating parameter as a characteristic parameter.

[0125] Characteristic Curve Graph Module: Statistically record features, calculate the feature scores for the sampling time periods in the feature records, and construct the characteristic curve graph of the energy storage process by calculating the average feature scores for the sampling time periods;

[0126] Among them, the characteristic curve graph module includes a feature score calculation unit and a characteristic curve graph drawing unit:

[0127] Feature Score Calculation Unit: Select a continuous number of days as the training period, obtain the energy conversion rate of any energy storage process in each energy storage record, compare the energy conversion rate of a certain energy storage process with the energy conversion rate threshold of the energy storage process. If it exceeds the energy conversion rate threshold, set the energy storage record as a feature record, summarize the feature records of a certain energy storage process. In the set of feature records of a certain energy storage process, obtain the equivalent energy corresponding to a certain energy storage link in a certain feature record during a certain acquisition time period, calculate the energy conversion rate of the acquisition time period through the energy conversion rate formula, obtain the change rate of the characteristic parameters of the acquisition time period, and calculate the feature score;

[0128] Characteristic Curve Graph Drawing Unit: Summarize the feature scores corresponding to all the feature records of a certain energy storage process during a certain acquisition time period to obtain the average feature score of the energy storage process during the acquisition time period; draw the characteristic curve graph of a certain energy storage process, with the average feature score of the energy storage process as the vertical coordinate and the acquisition time period as the horizontal coordinate.

[0129] Real-time Warning Module: Draw the real-time characteristic curve graph of the energy storage process, combine with the characteristic curve graph of the energy storage process, calculate the system score of the energy storage system, and judge the warning status according to the situation of the system score and the system score threshold;

[0130] Among them, the real-time warning module includes a fluctuation value calculation unit and a warning judgment unit:

[0131] Fluctuation Value Calculation Unit: Obtain the real-time feature scores of a certain energy storage process in all acquisition time periods, draw the real-time characteristic curve graph of the energy storage process, map the real-time characteristic curve graph to the characteristic curve graph of the energy storage process. If the real-time characteristic curve is higher than the characteristic curve in a certain acquisition time period, set the acquisition time period as the first time period. If the real-time characteristic curve is lower than the characteristic curve in a certain acquisition time period, set the acquisition time period as the second time period. Summarize the first time period and the second time period of a certain energy storage process. In a certain time period set, collect the real-time feature scores corresponding to a certain time period in the real-time characteristic curve graph, obtain the feature scores corresponding to the time period in the characteristic curve graph, and calculate the fluctuation value of the time period;

[0132] Judgment and warning unit: Set several fluctuation levels, obtain the corresponding fluctuation value ranges for each fluctuation level, determine the fluctuation levels corresponding to all time periods in a certain energy storage process, assign values to each fluctuation level, calculate the system score of the energy storage system, set a system score threshold, compare the system score of the energy storage system with the system score threshold, and if it exceeds the system score threshold, issue an alarm to remind the staff to conduct an inspection.

[0133] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claims involved.

Claims

1. A energy storage method using waste heat for energy storage, characterized in that, The method includes: Step S100: In different energy storage links, corresponding sensors are arranged to monitor the operating parameters of the energy storage links. By retrieving historical energy storage records, the operating parameters of each energy storage link are obtained, and according to the numerical values of the operating parameters, the energy conversion rate threshold of each energy storage process is determined; Step S200: Screen abnormal records, calculate the change rate of the operating parameters in the abnormal records, determine the abnormal change rate, and according to the quantity situation of the abnormal change rate, determine the characteristic parameters of the energy storage process; Step S300: Statistically analyze characteristic records. The characteristic score is obtained by weighted calculation of the energy conversion rate and the change rate of the characteristic parameters corresponding to each sampling time period in the characteristic records. By calculating the average characteristic score of the sampling time period, the characteristic curve graph of the energy storage process is constructed; Step S400: Draw the real-time characteristic curve graph of the energy storage process, combine it with the characteristic curve graph of the energy storage process, calculate the system score of the energy storage system, and judge the warning state according to the situation of the system score and the system score threshold; The said step S400 includes the following steps: Step S401: Obtain the real-time characteristic scores of a certain energy storage process in all acquisition time periods, draw the real-time characteristic curve graph of the energy storage process, and map the real-time characteristic curve graph into the characteristic curve graph of the energy storage process. If the real-time characteristic curve is higher than the characteristic curve in a certain acquisition time period, then set the acquisition time period as the first time period; if the real-time characteristic curve is lower than the characteristic curve in a certain acquisition time period, then set the acquisition time period as the second time period; Step S402: Aggregate the first time period and the second time period of a certain energy storage process. In a certain time period set, collect the real-time feature score X1 corresponding to a certain time period in the real-time feature curve graph, obtain the feature score X2 corresponding to the time period in the feature curve graph, and calculate the fluctuation value of the time period as ; Step S403: Set several fluctuation levels, obtain the fluctuation value range corresponding to each fluctuation level, determine the fluctuation level corresponding to all time periods in a certain energy storage process, assign values to each fluctuation level, and calculate the system score of the energy storage system according to the following formula: ； Among them, Y represents the system score of the energy storage system, represents the fluctuation level value of the u-th time period in the first time period of the n-th energy storage process, represents the weight value of the fluctuation level of the u-th time period in the first time period of the n-th energy storage process, K(n, g) represents the fluctuation level value of the g-th time period in the second time period of the n-th energy storage process, H(n, g) represents the weight value of the fluctuation level of the g-th time period in the second time period of the n-th energy storage process, nf represents the total number of the first time periods in the n-th energy storage process, nj represents the total number of the second time periods in the n-th energy storage process, and m represents the total number of energy storage processes; Step S404: Set the system score threshold, compare the system score of the energy storage system with the system score threshold. If it exceeds the system score threshold, an alarm is issued to remind the staff to check.

2. The energy storage method using waste heat for energy storage according to claim 1, characterized in that, The said step S100 includes the following steps: Step S101: Set two adjacent energy storage links with relevance as an energy storage process. The relevance is that the energy and substances output by the previous energy storage link are directly used as the input of the next energy storage link. Set the previous energy storage link in the energy storage process as the first link and the next energy storage link as the second link; obtain the historical energy storage record of a certain energy storage process, and in a certain historical energy storage record, obtain the numerical value of each operating parameter corresponding to all links in the energy storage process; Step S102: Obtain the difference between the operating parameters before and after a certain link works, and calculate the equivalent energy of a certain link according to the following formula: ； Among them, E represents the equivalent energy of a certain link, and A a represents the difference of the a-th operating parameter, represents the weight of the a-th operating parameter, and b represents the total number of operating parameters in a certain link; Step S103: Obtain the equivalent energy of all links in the energy storage process, and calculate the energy conversion rate of a certain energy storage process according to the following energy conversion rate formula: ； Wherein, N represents the energy conversion rate of a certain energy storage process, E1 represents the equivalent energy of the first link in a certain energy storage process, and E2 represents the equivalent energy of the second link in a certain energy storage process; Step S104: Obtain the energy conversion rates of all historical energy storage records in a certain energy storage process, and get the average value c and standard deviation d of the energy conversion rates. Calculate the energy conversion rate threshold of a certain energy storage process according to the following formula: P = c + d * e; Where, P represents the energy conversion rate threshold, and e represents a preset constant.

3. The energy storage method using waste heat energy storage according to claim 2, characterized in that, The step S200 includes the following steps: Step S201: Compare the energy conversion rates of all historical energy storage records in a certain energy storage process with the energy conversion rate threshold of the energy storage process, set the historical energy storage records lower than the energy conversion rate threshold as abnormal records, and summarize the abnormal records of a certain energy storage process; Step S202: In the set of abnormal records of a certain energy storage process, obtain the value Q(q, t) of the q-th operating parameter at the t-th sampling time point in a certain abnormal record, draw the operating curve of the q-th operating parameter in the abnormal record. The operating curve takes the sampling time point as the abscissa and the value of the operating parameter as the ordinate. Calculate the change rate of the operating parameter in a certain sampling period according to the following formula: ； wherein, R(q, t') represents the change rate of the q-th operating parameter in the t'-th sampling time period, and Q(q, t + 1) represents the value of the q-th operating parameter at the (t + 1)-th sampling time point. represents the time interval of the t'-th sampling time period; Step S203: Set the change rate threshold of a certain operating parameter, compare each change rate of a certain operating parameter in a certain abnormal record with the change rate threshold of the operating parameter. If the change rate threshold is not met, set the change rate as an abnormal change rate; Step S204: Count the number B of abnormal change rates of a certain operating parameter in all abnormal records of a certain energy storage process, obtain the total number D of abnormal change rates in a certain energy storage process, and calculate the occurrence frequency of the abnormal change rate of a certain operating parameter as B / D; Step S205: Set the occurrence frequency threshold, compare the occurrence frequency of a certain operating parameter with the occurrence frequency threshold. If it exceeds the occurrence frequency threshold, set the operating parameter as a characteristic parameter.

4. A method for energy storage using waste heat energy storage according to claim 3, characterized in that, The step S300 includes the following steps: Step S301: Select consecutive several days as the training period, obtain the energy conversion rate of any energy storage process in each energy storage record, compare the energy conversion rate of a certain energy storage process with the energy conversion rate threshold of the energy storage process. If it exceeds the energy conversion rate threshold, set the energy storage record as a characteristic record, and summarize the characteristic records of a certain energy storage process; Step S302: In the set of characteristic records of a certain energy storage process, obtain the equivalent energy corresponding to a certain energy storage link in a certain acquisition period in a certain characteristic record, calculate the energy conversion rate of the acquisition period through the energy conversion rate formula, obtain the change rate of the characteristic parameter of the acquisition period, and calculate the characteristic score according to the following formula: ； Among them, X(ts) represents the feature score in the ts-th acquisition time period, N(ts) represents the energy conversion rate in the ts-th acquisition time period, Q(i, ts) represents the change rate of the i-th feature parameter in the ts-th acquisition time period, and W N represents the weight of the energy conversion rate, and W Q（i） represents the weight of the change rate of the i-th feature parameter, and r represents the total number of feature parameters; Step S303: Summarize the characteristic scores corresponding to all characteristic records of a certain energy storage process in a certain acquisition period to obtain the average characteristic score of the energy storage process in the acquisition period; draw the characteristic curve of a certain energy storage process. The characteristic curve takes the average characteristic score of the energy storage process as the ordinate and the acquisition period as the abscissa.

5. An energy storage system using waste heat for energy storage, which is used to implement the energy storage method using waste heat described in any one of claims 1-4, characterized in that, The system includes an energy conversion rate module, a characteristic parameter module, a characteristic curve module, and a real-time warning module; The energy conversion rate module: In different energy storage links, corresponding sensors are arranged to monitor the operating parameters of the energy storage links. By retrieving historical energy storage records, the operating parameters of each energy storage link are obtained. According to the numerical conditions of the operating parameters, the energy conversion rate thresholds of each energy storage process are determined; The characteristic parameter module: Screen abnormal records, calculate the change rate of the operating parameters in the abnormal records, determine the abnormal change rate, and determine the characteristic parameters of the energy storage process according to the quantity of the abnormal change rate; The characteristic curve graph module: Statistic characteristic records, obtain the characteristic scores by performing weighted calculations on the energy conversion rates and the change rates of the characteristic parameters corresponding to each sampling time period in the characteristic records, and construct the characteristic curve graph of the energy storage process by calculating the average characteristic scores of the sampling time periods; The real-time warning module: Draw the real-time characteristic curve graph of the energy storage process, combine with the characteristic curve graph of the energy storage process, calculate the system score of the energy storage system, and judge the warning state according to the situation of the system score and the system score threshold.

6. The energy storage system using waste heat for energy storage according to claim 5, wherein, The energy conversion rate module includes an equivalent energy unit and an energy conversion rate threshold determination unit: The equivalent energy unit: Set two adjacent energy storage links with a correlation as an energy storage process, set the previous energy storage link in the energy storage process as the first link, and the subsequent energy storage link as the second link; Retrieve the historical energy storage record of a certain energy storage process, in a certain historical energy storage record, obtain the numerical values of each operating parameter corresponding to all links in the energy storage process, obtain the difference in the operating parameters before and after a certain link works, and calculate the equivalent energy of a certain link; The energy conversion rate threshold determination unit: Obtain the equivalent energies of all links in the energy storage process, calculate the energy conversion rate of a certain energy storage process, obtain the energy conversion rates of all historical energy storage records in a certain energy storage process, obtain the average value and standard deviation of the energy conversion rate, and calculate the energy conversion rate threshold of a certain energy storage process.

7. An energy storage system using waste heat for energy storage according to claim 5, characterized in that, The characteristic parameter module includes a change rate calculation unit and a characteristic parameter determination unit: The change rate calculation unit: Compare the energy conversion rates of all historical energy storage records in a certain energy storage process with the energy conversion rate threshold of the energy storage process, set the historical energy storage records lower than the energy conversion rate threshold as abnormal records, in the abnormal record set of a certain energy storage process, obtain the numerical value of the q-th operating parameter at the t-th sampling time point in a certain abnormal record, draw the operating curve graph of the q-th operating parameter in the abnormal record, with the sampling time point as the abscissa and the numerical value of the operating parameter as the ordinate, and calculate the change rate of the operating parameter in a certain sampling time period; The said determining feature parameter unit: sets a change rate threshold for a certain operating parameter, compares each change rate of a certain operating parameter in a certain abnormal record with the change rate threshold of the operating parameter, and if the change rate threshold is not met, sets the change rate as an abnormal change rate; counts the number of abnormal change rates of a certain operating parameter in all abnormal records of a certain energy storage process, obtains the total number of abnormal change rates in a certain energy storage process, calculates the occurrence frequency of the abnormal change rate of a certain operating parameter, sets an occurrence frequency threshold, compares the occurrence frequency of a certain operating parameter with the occurrence frequency threshold, and if it exceeds the occurrence frequency threshold, sets the operating parameter as a feature parameter.

8. The energy storage system using waste heat for energy storage according to claim 5, wherein The said feature curve graph module includes a calculating feature score unit and a drawing feature curve graph unit: The said calculating feature score unit: selects a continuous number of days as a training period, obtains the energy conversion rate of any energy storage process in each energy storage record, compares the energy conversion rate of a certain energy storage process with the energy conversion rate threshold of the energy storage process, and if it exceeds the energy conversion rate threshold, sets the energy storage record as a feature record, summarizes the feature records of a certain energy storage process, in the set of feature records of a certain energy storage process, obtains the equivalent energy corresponding to a certain energy storage link in a certain collection time period in a certain feature record, calculates the energy conversion rate of the collection time period through the energy conversion rate formula, obtains the change rate of the feature parameter of the collection time period, and calculates the feature score; The said drawing feature curve graph unit: summarizes the feature scores corresponding to all feature records of a certain energy storage process in a certain collection time period to obtain the average feature score of the energy storage process in the collection time period; Draws a feature curve graph of a certain energy storage process, with the average feature score of the energy storage process as the vertical coordinate and the collection time period as the horizontal coordinate for the feature curve graph.

9. An energy storage system using waste heat for energy storage according to claim 5, characterized in that, The said real-time warning module includes a calculating fluctuation value unit and a judging warning unit: The said calculating fluctuation value unit: obtains the real-time feature scores of a certain energy storage process in all collection time periods, draws the real-time feature curve graph of the energy storage process, maps the real-time feature curve graph to the feature curve graph of the energy storage process, if the real-time feature curve is higher than the feature curve in a certain collection time period, sets the collection time period as the first time period, if the real-time feature curve is lower than the feature curve in a certain collection time period, sets the collection time period as the second time period, summarizes the first time period and the second time period of a certain energy storage process, in a certain time period set, collects the real-time feature scores corresponding to a certain time period in the real-time feature curve graph, obtains the feature scores corresponding to the time period in the feature curve graph, and calculates the fluctuation value of the time period; The judgment and early warning unit: Set several fluctuation levels, obtain the corresponding fluctuation value ranges for each fluctuation level, determine the fluctuation levels corresponding to all time periods in a certain energy storage process, assign values to each fluctuation level, calculate the system score of the energy storage system, set a system score threshold, compare the system score of the energy storage system with the system score threshold, and if it exceeds the system score threshold, issue an alarm to remind the staff to conduct an inspection.

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