Comprehensive energy management system adaptive to industrial park

Abstract

The invention relates to the technical field of energy management, in particular to a comprehensive energy management system adaptive to an industrial park, which comprises an energy management platform, a data acquisition module, an energy management authority module, a management page supervision module, an energy record supervision module, a smooth operation supervision module, a management performance analysis module and a management display module. According to the invention, energy management security certification supervision analysis is carried out on the login data to know whether the user has authority to carry out energy management on the industrial park, and analysis is carried out from three points of stability, timeliness and fluency of an energy management page on the premise of authority management, so that the energy management effect of the industrial park is ensured, and the user experience is improved. And comprehensive energy management risk analysis is carried out by means of information feedback and information fusion, so that analysis is carried out by means of information fusion, comprehensive management is carried out on the energy management page, and the energy management performance and management effect of the energy management page on the industrial park are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, and in particular to a comprehensive energy management system for an adaptive industrial park. Background Art

[0002] Energy management is a comprehensive field that aims to effectively manage and control the use of energy resources to improve energy efficiency, reduce costs, reduce environmental impact, and ensure the reliability of energy supply; the main goal of energy management is to achieve sustainable energy management and ensure the sustainability of energy to meet the growing energy demand;

[0003] However, in the existing comprehensive energy management system, it is impossible to rationally manage and monitor the energy of the industrial park, resulting in reduced energy management efficiency of the industrial park, and it is impossible to reasonably maintain and supervise the energy management system, which in turn leads to the energy management system being unable to safely and stably monitor and manage the energy of the industrial park, while reducing the accuracy and fluency of information feedback in the energy management system;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a comprehensive energy management system for an adaptive industrial park to solve the technical defects mentioned above. The present invention performs energy management security authentication supervision analysis on login data to understand whether the user has the authority to perform energy management on the industrial park to ensure the security of energy management in the industrial park. On the premise of authorized management, the energy management page is analyzed from three points of stability, timeliness and fluency to ensure the energy management effect of the industrial park. A comprehensive energy management risk analysis is performed through information feedback and information fusion, so that analysis can be performed through information fusion to comprehensively manage the energy management page to improve the energy management performance and management effect of the energy management page on the industrial park.

[0006] The object of the present invention can be achieved by the following technical solutions: a comprehensive energy management system for an adaptive industrial park, comprising an energy management platform, a data acquisition module, an energy management authority module, a management page supervision module, an energy record supervision module, a smooth operation supervision module, a management performance analysis module and a management display module;

[0007] The data collection module is used to collect the user's login data and send the login data to the energy management authority module. After receiving the login data, the energy management authority module immediately performs energy management security authentication supervision analysis on the login data, compares and analyzes the obtained third recognition sequence, obtains an authorization signal and a failure signal, and when the failure signal is generated, obtains the difference characters corresponding to the third recognition sequence and the preset third recognition sequence, and performs discrimination analysis on the difference characters to obtain a login error signal and a facial error signal;

[0008] The management page supervision module is used to collect display data of the energy management page, and perform management restriction and obstruction supervision analysis on the display data, compare and analyze the obtained display stability evaluation coefficient, and obtain a management signal;

[0009] The energy record monitoring module is used to collect the operation performance data of the energy management page, and perform information record reliability monitoring analysis on the operation performance data, and compare and analyze the obtained information record evaluation coefficient K to obtain a valid signal and a repair signal;

[0010] The smooth operation monitoring module is used to collect the operation data of the energy management page, and perform energy management smoothness monitoring analysis on the operation data, and compare and analyze the obtained smoothness obstacle index to obtain an obstacle signal;

[0011] The management performance analysis module is used to perform a comprehensive energy management risk analysis, compare and analyze the obtained management obstacle evaluation coefficient R, and send the obtained control signal to the management display module.

[0012] Preferably, the energy management security authentication supervision and analysis process of the energy management authority module is as follows:

[0013] The user's login data is collected, the login data includes an account number, a password and a work number, and characters are extracted from the account number, the password and the work number, and a character string composed of the extracted characters of the account number, the password and the work number is set as a first recognition sequence. Meanwhile, a facial feature image of the user is obtained, and the facial feature image is preprocessed, the preprocessing includes scaling and cropping, and then the eye distance and nose width features are extracted from the preprocessed facial feature image, and the character string composed of the eye distance and nose width features extracted from the preprocessed facial feature image is set as a second recognition sequence, the first recognition sequence and the second recognition sequence are combined into a character string, and a sequence of the character string combination of the first recognition sequence and the second recognition sequence is set as a third recognition sequence;

[0014] The third recognition sequence is compared and analyzed with the preset third recognition sequence stored in the internal storage one by one:

[0015] If the third identification sequence corresponds to the preset third identification sequence one by one, an authorization signal is generated;

[0016] If the one-to-one correspondence between the third recognition sequence and the preset third recognition sequence is not satisfied, a failure signal is generated. After the failure signal is generated, the difference characters corresponding to the third recognition sequence and the preset third recognition sequence are obtained, and the difference characters are discriminated and analyzed:

[0017] If the difference character belongs to the first recognition sequence, a login error signal is generated;

[0018] If the difference character belongs to the second recognition sequence, a face error signal is generated.

[0019] Preferably, the management restriction obstacle supervision analysis process of the management page supervision module is as follows:

[0020] The duration between the time when the authorization signal is generated and the time when the energy management platform is exited is obtained, and is set as the time threshold. The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The display data of the energy management page in each sub-time period is obtained. The display data includes a display offset value and a dynamic evaluation value. The display offset value and the dynamic evaluation value are compared and analyzed with the preset display offset value threshold and the preset dynamic evaluation value threshold stored in the internal data entry. If the display offset value is less than the preset display offset value, and the dynamic evaluation value is less than the preset dynamic evaluation value threshold, the corresponding sub-time period is determined to be a normal time period. The ratio between the number corresponding to the normal time period and the total number of sub-time periods is set as the display stability evaluation coefficient. The display stability evaluation coefficient is compared and analyzed with the preset display stability evaluation coefficient threshold stored in the internal data entry:

[0021] If the ratio between the display stability assessment coefficient and the preset display stability assessment coefficient threshold is less than 1, no signal is generated;

[0022] If the ratio between the display stability evaluation coefficient and the preset display stability evaluation coefficient threshold is greater than or equal to 1, a management signal is generated.

[0023] Preferably, the display offset value represents the product of the fluctuation frequency of the energy management page and the total fluctuation duration after data normalization processing; the dynamic evaluation value represents the ratio between the duration corresponding to the loading rate being lower than the preset loading rate threshold and the duration corresponding to the sub-time period.

[0024] Preferably, the information record reliability supervision and analysis process of the energy record supervision module is as follows:

[0025] Obtaining the operational performance data of the energy management page within the time threshold, the operational performance data including the switching time value and the data management value;

[0026] The switching time efficiency value represents the percentage of the total number of times the energy management page updates the energy consumption information of the industrial park that deviates from the set update time;

[0027] The data management value represents the sum of the number of times data is lost during data transmission and the number of times the value after data transmission does not match the value before data transmission after data transmission, after data normalization processing;

[0028] The switching time efficiency value and the data management value are labeled QH and SG respectively, and the switching time efficiency value QH and the data management value SG are substituted into the formula K = (QH × a1 + SG) 2 ×a2×a3 to obtain the information record evaluation coefficient, where a1 and a2 are the preset proportional factor coefficients of the switching timeliness value and the data management value, respectively, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, K is the information record evaluation coefficient, and the information record evaluation coefficient K is compared and analyzed with the preset information record evaluation coefficient threshold value stored in the internal input:

[0029] If the ratio between the information recording evaluation coefficient K and the preset information recording evaluation coefficient threshold is less than 1, a valid signal is generated;

[0030] If the ratio between the information recording evaluation coefficient K and the preset information recording evaluation coefficient threshold is greater than or equal to 1, a repair signal is generated.

[0031] Preferably, the energy management fluency supervision and analysis process of the smooth operation supervision module is as follows:

[0032] The operation data of the energy management page within the time threshold is obtained, the operation data represents the total number of operations, and then the page fluency value corresponding to each operation number of the energy management page is obtained. The page fluency value represents the time between the energy management page generating the operation instruction and the time when the operation instruction is completed. A rectangular coordinate system is established with the number of operations as the X-axis and the page fluency value as the Y-axis. A page fluency value curve is drawn by plotting points, and then the maximum peak value and the minimum trough value in the page fluency value curve are obtained. The difference between the maximum peak value and the minimum trough value in the page fluency value curve is set as the fluency obstacle index;

[0033] Compare and analyze the smoothness obstruction index with the preset smoothness obstruction index threshold value stored in the internal storage:

[0034] If the ratio between the smoothness obstruction index and the preset smoothness obstruction index threshold is less than 1, no signal is generated;

[0035] If the ratio between the smoothness obstruction index and the preset smoothness obstruction index threshold is greater than or equal to 1, an obstruction signal is generated.

[0036] Preferably, the comprehensive energy management risk analysis process of the management performance analysis module is as follows:

[0037] Obtain the stability evaluation coefficient, information recording evaluation coefficient K and smooth obstruction index displayed within the time threshold, label the stability evaluation coefficient and smooth obstruction index as W and L respectively, and substitute the stability evaluation coefficient W, information recording evaluation coefficient K and smooth obstruction index L into the formula R = (W×K×L) 2 ×v1×v2×v3 to obtain the management obstacle assessment coefficient, where v1, v2 and v3 are the preset weight factor coefficients of the display stability assessment coefficient W, the information recording assessment coefficient K and the smooth obstacle index L respectively, v1, v2 and v3 are all greater than zero, R is the management obstacle assessment coefficient, and the management obstacle assessment coefficient R is compared and analyzed with the preset management obstacle assessment coefficient threshold value stored in the internal entry:

[0038] If the ratio between the management obstacle assessment coefficient R and the preset management obstacle assessment coefficient threshold is less than 1, no signal is generated;

[0039] If the ratio between the management obstacle assessment coefficient R and the preset management obstacle assessment coefficient threshold is greater than or equal to 1, a control signal is generated.

[0040] The beneficial effects of the present invention are as follows:

[0041] (1) The present invention performs energy management security authentication supervision and analysis on login data to understand whether the user has the authority to perform energy management on the industrial park, so as to ensure the security of energy management in the industrial park. On the premise of authorized management, the present invention performs analysis from the three points of stability, timeliness and fluency of the energy management page to ensure the energy management effect of the industrial park, that is, performs management restriction and obstruction supervision and analysis on the displayed data to understand whether the stability of the energy management page affects the energy management of the industrial park, so as to timely maintain and manage the energy management page to ensure the stability of the energy management page;

[0042] (2) The present invention monitors and analyzes the reliability of information records on operational performance data to understand whether the energy management page records, collects and feeds back the energy consumption information of the industrial park on time and accurately, so as to upgrade and optimize the energy management page, which helps to improve data support for the subsequent energy management of the industrial park. The present invention monitors and analyzes the energy management fluency of the operation data to understand whether the operation fluency of the energy management page is qualified, so as to reduce the impact of the fluency of the energy management page on the energy management of the industrial park. The present invention conducts comprehensive energy management risk analysis through information feedback and information fusion, so as to analyze through information fusion, so as to comprehensively manage the energy management page, so as to improve the energy management performance and management effect of the energy management page on the industrial park. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below in conjunction with the accompanying drawings;

[0044] Figure 1 It is a flowchart of the system of the present invention;

[0045] Figure 2 This is a local analysis diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0046] 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.

[0047] Embodiment 1:

[0048] See also Figure 1 to Figure 2 As shown, the present invention is a comprehensive energy management system for an adaptive industrial park, including an energy management platform, a data acquisition module, an energy management authority module, a management page supervision module, an energy record supervision module, a smooth operation supervision module, a management performance analysis module and a management display module. The energy management platform is connected to the data acquisition module in a one-way communication manner, the data acquisition module is connected to the energy management authority module in a one-way communication manner, the energy management authority module is connected to the management display module in a one-way communication manner, the energy management authority module is connected to the management page supervision module, the energy record supervision module and the smooth operation supervision module in a two-way communication manner, the management page supervision module, the energy record supervision module and the smooth operation supervision module are all connected to the management performance analysis module in a one-way communication manner, and the management performance analysis module is connected to the management display module in a one-way communication manner;

[0049] After receiving the login instruction, the energy management platform immediately generates a supervision instruction and sends the supervision instruction to the data acquisition module. After receiving the supervision instruction, the data acquisition module immediately collects the user's login data and sends the login data to the energy management authority module. After receiving the login data, the energy management authority module immediately performs energy management security authentication supervision analysis on the login data to understand whether the user has the authority to perform energy management on the industrial park to ensure the security of energy management in the industrial park. The specific energy management security authentication supervision analysis process is as follows:

[0050] The user's login data is collected, the login data includes an account number, a password and a work number, and characters are extracted from the account number, the password and the work number, and a character string composed of the extracted characters of the account number, the password and the work number is set as a first recognition sequence. At the same time, the user's facial feature image is obtained, and the facial feature image is preprocessed, the preprocessing includes scaling, cropping, etc., and then the eye distance and nose width features are extracted from the preprocessed facial feature image, and the character string composed of the eye distance and nose width features extracted from the preprocessed facial feature image is set as a second recognition sequence, the first recognition sequence and the second recognition sequence are combined as a character string, and the sequence of the character string combination of the first recognition sequence and the second recognition sequence is set as a third recognition sequence. It should be noted that the analysis is performed from the two perspectives of login data and facial feature images to ensure the security of the energy management platform and avoid malicious tampering and data theft.

[0051] The third recognition sequence is compared and analyzed with the preset third recognition sequence stored in the internal storage one by one:

[0052] If the third identification sequence corresponds to the preset third identification sequence one by one, an authorization signal is generated;

[0053] If the one-to-one correspondence between the third recognition sequence and the preset third recognition sequence is not satisfied, a failure signal is generated. After the failure signal is generated, the difference characters corresponding to the third recognition sequence and the preset third recognition sequence are obtained, and the difference characters are discriminated and analyzed:

[0054] If the difference character belongs to the first recognition sequence, a login error signal is generated;

[0055] If the difference character belongs to the second recognition sequence, a facial error signal is generated, and the login error signal and the facial error signal are sent to the management display module. After receiving the login error signal and the facial error signal, the management display module immediately displays the preset warning text corresponding to the login error signal and the facial error signal, so as to remind the user of the login failure, and at the same time help to improve the security of the energy management platform;

[0056] After the authorization signal is generated, the management page supervision module is used to collect the display data of the energy management page and perform management restriction and obstruction supervision analysis on the display data to understand whether the stability of the energy management page affects the energy management, so as to timely maintain and manage the energy management page to ensure the stability of the energy management page, thereby facilitating the stable energy management of the industrial park and improving the energy management effect of the industrial park. The specific management restriction and obstruction supervision analysis process is as follows:

[0057] The duration between the time when the authorization signal is generated and the time when the energy management platform is exited is obtained, and is set as the time threshold. The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The display data of the energy management page in each sub-time period is obtained. The display data includes a display offset value and a dynamic evaluation value. The display offset value and the dynamic evaluation value are compared and analyzed with the preset display offset value threshold and the preset dynamic evaluation value threshold stored in the internal data entry. If the display offset value is less than the preset display offset value, and the dynamic evaluation value is less than the preset dynamic evaluation value threshold, the corresponding sub-time period is determined to be a normal time period. The ratio between the number corresponding to the normal time period and the total number of sub-time periods is set as the display stability evaluation coefficient. The display stability evaluation coefficient is compared and analyzed with the preset display stability evaluation coefficient threshold stored in the internal data entry:

[0058] If the ratio between the display stability assessment coefficient and the preset display stability assessment coefficient threshold is less than 1, no signal is generated;

[0059] If the ratio between the display stability assessment coefficient and the preset display stability assessment coefficient threshold is greater than or equal to 1, a management signal is generated, and the management signal is sent to the management display module via the energy management authority module. After receiving the management signal, the management display module immediately displays the preset warning text corresponding to the management signal, so as to timely maintain and manage the energy management page to ensure the stability of the energy management page, thereby facilitating stable energy management of the industrial park and improving the energy management effect of the industrial park;

[0060] In the embodiment of the present invention, the display offset value represents the product value obtained by multiplying the fluctuation frequency and the total fluctuation duration of the energy management page after data normalization. It should be noted that the analysis is performed from the perspective of the display performance of the energy management page to understand the display stability of the energy management page, so as to provide timely early warning management to ensure the integrity and stability of the displayed information of the energy management page;

[0061] In the embodiment of the present invention, the dynamic evaluation value represents the ratio between the duration corresponding to the loading rate being lower than the preset loading rate threshold and the duration corresponding to the sub-time period. It should be noted that the analysis is performed from the perspective of the loading rate of the energy management page to understand the display loading rate of the energy management page.

[0062] Embodiment 2:

[0063] After the authorization signal is generated, the energy record supervision module is used to collect the operation performance data of the energy management page, and conduct information record reliability supervision analysis on the operation performance data to understand whether the energy management page records, collects and feedbacks the energy consumption information of the industrial park on time and accurately, so as to upgrade and optimize the energy management page, which is helpful to provide data support for the subsequent energy management of the industrial park. The specific information record reliability supervision analysis process is as follows:

[0064] The operation performance data of the energy management page within the time threshold is obtained. The operation performance data includes the switching time value and the data management value. The switching time value and the data management value are marked as QH and SG respectively. The switching time value QH and the data management value SG are substituted into the formula K = (QH × a1 + SG) 2 ×a2×a3 to obtain the information record evaluation coefficient, where a1 and a2 are the preset proportional factor coefficients of the switching time value and the data management value respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. a3 is the preset correction factor coefficient. a1, a2 and a3 are all greater than zero. K is the information record evaluation coefficient. The information record evaluation coefficient K is compared and analyzed with the preset information record evaluation coefficient threshold value stored in the internal input:

[0065] If the ratio between the information recording evaluation coefficient K and the preset information recording evaluation coefficient threshold is less than 1, a valid signal is generated;

[0066] If the ratio between the information record evaluation coefficient K and the preset information record evaluation coefficient threshold is greater than or equal to 1, a repair signal is generated, and the valid signal and the repair signal are sent to the management display module via the energy management authority module. After receiving the valid signal and the repair signal, the management display module immediately displays the preset warning text corresponding to the valid signal and the repair signal, so as to upgrade and optimize the energy management page to ensure the accuracy and timeliness of information recording, collection and feedback on the energy management page;

[0067] In the embodiment of the present invention, the switching timeliness value represents the proportion of the total number of times the energy management page updates the energy consumption information of the industrial park that deviates from the set update time. It should be noted that the switching timeliness value is an influencing parameter that reflects the timeliness of the energy management page displaying the energy consumption information of the industrial park. The larger the value of the switching timeliness value, the greater the reliability risk of the energy management page displaying the energy consumption information of the industrial park;

[0068] In the embodiment of the present invention, the data management value represents the sum of the number of times data is lost during data transmission and the number of times the value after data transmission does not match the value before transmission after data transmission, after data normalization. It should be noted that the transmission offset value is an influencing parameter that reflects the security and stability of data transmission in the industrial park, that is, it feedbacks the accuracy of information on the energy management page from the perspective of transmission;

[0069] After the authorization signal is generated, the smooth operation supervision module is used to collect the operation data of the energy management page and conduct energy management smoothness supervision and analysis on the operation data to understand whether the operation smoothness of the energy management page is qualified, so as to reduce the impact of the energy management page smoothness on the energy management of the industrial park. The specific energy management smoothness supervision and analysis process is as follows:

[0070] The operation data of the energy management page within the time threshold is obtained, and the operation data represents the total number of operations, and then the page fluency value corresponding to each operation number of the energy management page is obtained. The page fluency value represents the time between the energy management page generating the operation instruction and the time when the operation instruction is completed. A rectangular coordinate system is established with the number of operations as the X-axis and the page fluency value as the Y-axis. The page fluency value curve is drawn by drawing points, and then the maximum peak value and the minimum trough value in the page fluency value curve are obtained. The difference between the maximum peak value and the minimum trough value in the page fluency value curve is set as the fluency obstruction index. It should be noted that the larger the value of the fluency obstruction index, the greater the interference of the energy management page on the energy management of the industrial park;

[0071] Compare and analyze the smoothness obstruction index with the preset smoothness obstruction index threshold value stored in the internal storage:

[0072] If the ratio between the smoothness obstruction index and the preset smoothness obstruction index threshold is less than 1, no signal is generated;

[0073] If the ratio between the smoothness obstruction index and the preset smoothness obstruction index threshold is greater than or equal to 1, an obstruction signal is generated, and the obstruction signal is sent to the management display module via the energy management authority module. After receiving the obstruction signal, the management display module immediately displays the preset warning text corresponding to the obstruction signal, so as to update the code of the energy management page to improve the fluency of the energy management page, thereby helping to reduce the impact of the fluency of the energy management page on the energy management of the industrial park;

[0074] The management performance analysis module is used to conduct comprehensive energy management risk analysis so as to understand the risk situation of energy management in the industrial park through information fusion analysis so as to manage it reasonably and in a targeted manner. The specific comprehensive energy management risk analysis process is as follows:

[0075] Obtain the stability evaluation coefficient, information recording evaluation coefficient K and smooth obstruction index displayed within the time threshold, label the stability evaluation coefficient and smooth obstruction index as W and L respectively, and substitute the stability evaluation coefficient W, information recording evaluation coefficient K and smooth obstruction index L into the formula R = (W×K×L) 2 ×v1×v2×v3 to obtain the management obstacle assessment coefficient, where v1, v2 and v3 are the preset weight factor coefficients of the display stability assessment coefficient W, the information recording assessment coefficient K and the smooth obstacle index L respectively, v1, v2 and v3 are all greater than zero, R is the management obstacle assessment coefficient, and the management obstacle assessment coefficient R is compared and analyzed with the preset management obstacle assessment coefficient threshold value stored in the internal entry:

[0076] If the ratio between the management obstacle assessment coefficient R and the preset management obstacle assessment coefficient threshold is less than 1, no signal is generated;

[0077] If the ratio between the management obstacle assessment coefficient R and the preset management obstacle assessment coefficient threshold is greater than or equal to 1, a control signal is generated and sent to the management display module. After receiving the control signal, the management display module immediately displays the preset warning text corresponding to the control signal, so as to comprehensively manage the energy management page, so as to manage it reasonably and targetedly, so as to improve the energy management performance and management effect of the energy management page on the industrial park;

[0078] In summary, the present invention performs energy management security authentication supervision and analysis on login data to understand whether the user has the authority to perform energy management on the industrial park to ensure the security of the energy management of the industrial park. On the premise of authorized management, the energy management page is analyzed from three points of stability, timeliness and fluency to ensure the energy management effect of the industrial park, that is, management restriction and obstruction supervision and analysis is performed on the displayed data to understand whether the stability of the energy management page affects the energy management of the industrial park, so as to timely maintain and manage the energy management page to ensure the stability of the energy management page, and information record reliability supervision and analysis is performed on the operation performance data to ensure Understand whether the energy management page records, collects and feedbacks the energy consumption information of the industrial park on time and accurately, so as to upgrade and optimize the energy management page, which will help improve data support for the subsequent energy management of the industrial park, and conduct energy management fluency supervision and analysis on the operation data to understand whether the operation fluency of the energy management page is qualified, so as to reduce the impact of the fluency of the energy management page on the energy management of the industrial park. Through information feedback and information fusion, comprehensive energy management risk analysis is carried out, so as to analyze through information fusion, so as to comprehensively manage the energy management page, so as to improve the energy management performance and management effect of the energy management page on the industrial park.

[0079] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0080] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution of the present invention and the invention specification concept to make equivalent replacement or change, should be covered within the protection scope of the present invention.

Claims

1. A comprehensive energy management system for an adaptive industrial park, characterized in that: It includes energy management platform, data collection module, energy management authority module, management page supervision module, energy record supervision module, smooth operation supervision module, management performance analysis module and management display module; The data collection module is used to collect the user's login data and send the login data to the energy management authority module. After receiving the login data, the energy management authority module immediately performs energy management security authentication supervision analysis on the login data, compares and analyzes the obtained third recognition sequence, obtains an authorization signal and a failure signal, and when the failure signal is generated, obtains the difference characters corresponding to the third recognition sequence and the preset third recognition sequence, and performs discrimination analysis on the difference characters to obtain a login error signal and a facial error signal; The management page supervision module is used to collect display data of the energy management page, and perform management restriction and obstruction supervision analysis on the display data, compare and analyze the obtained display stability evaluation coefficient, and obtain a management signal; The energy record monitoring module is used to collect the operation performance data of the energy management page, and perform information record reliability monitoring analysis on the operation performance data, and compare and analyze the obtained information record evaluation coefficient K to obtain a valid signal and a repair signal; The smooth operation monitoring module is used to collect the operation data of the energy management page, and perform energy management smoothness monitoring analysis on the operation data, and compare and analyze the obtained smoothness obstacle index to obtain an obstacle signal; The management performance analysis module is used to perform a comprehensive energy management risk analysis, compare and analyze the obtained management obstacle evaluation coefficient R, and send the obtained control signal to the management display module.

2. According to claim 1, a comprehensive energy management system for an adaptive industrial park is characterized in that: The energy management security authentication supervision and analysis process of the energy management authority module is as follows: The user's login data is collected, the login data includes an account number, a password and a work number, and characters are extracted from the account number, the password and the work number, and a character string composed of the extracted characters of the account number, the password and the work number is set as a first recognition sequence. Meanwhile, a facial feature image of the user is obtained, and the facial feature image is preprocessed, the preprocessing includes scaling and cropping, and then the eye distance and nose width features are extracted from the preprocessed facial feature image, and the character string composed of the eye distance and nose width features extracted from the preprocessed facial feature image is set as a second recognition sequence, the first recognition sequence and the second recognition sequence are combined into a character string, and a sequence of the character string combination of the first recognition sequence and the second recognition sequence is set as a third recognition sequence; The third recognition sequence is compared and analyzed with the preset third recognition sequence stored in the internal storage one by one: If the third identification sequence corresponds to the preset third identification sequence one by one, an authorization signal is generated; If the one-to-one correspondence between the third recognition sequence and the preset third recognition sequence is not satisfied, a failure signal is generated. After the failure signal is generated, the difference characters corresponding to the third recognition sequence and the preset third recognition sequence are obtained, and the difference characters are discriminated and analyzed: If the difference character belongs to the first recognition sequence, a login error signal is generated; If the difference character belongs to the second recognition sequence, a face error signal is generated.

3. According to claim 1, a comprehensive energy management system for an adaptive industrial park is characterized in that: The management restriction and obstruction supervision analysis process of the management page supervision module is as follows: The duration between the time when the authorization signal is generated and the time when the energy management platform is exited is obtained, and is set as the time threshold. The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The display data of the energy management page in each sub-time period is obtained. The display data includes a display offset value and a dynamic evaluation value. The display offset value and the dynamic evaluation value are compared and analyzed with the preset display offset value threshold and the preset dynamic evaluation value threshold stored in the internal data entry. If the display offset value is less than the preset display offset value, and the dynamic evaluation value is less than the preset dynamic evaluation value threshold, the corresponding sub-time period is determined to be a normal time period. The ratio between the number corresponding to the normal time period and the total number of sub-time periods is set as the display stability evaluation coefficient. The display stability evaluation coefficient is compared and analyzed with the preset display stability evaluation coefficient threshold stored in the internal data entry: If the ratio between the display stability assessment coefficient and the preset display stability assessment coefficient threshold is less than 1, no signal is generated; If the ratio between the display stability evaluation coefficient and the preset display stability evaluation coefficient threshold is greater than or equal to 1, a management signal is generated.

4. According to claim 3, a comprehensive energy management system for an adaptive industrial park is characterized in that: The display offset value represents the product of the fluctuation frequency of the energy management page and the total fluctuation duration after data normalization; the dynamic evaluation value represents the ratio between the duration corresponding to the loading rate being lower than the preset loading rate threshold and the duration corresponding to the sub-time period.

5. According to claim 1, a comprehensive energy management system for an adaptive industrial park is characterized in that: The information record reliability supervision and analysis process of the energy record supervision module is as follows: Obtaining the operational performance data of the energy management page within the time threshold, the operational performance data including the switching time value and the data management value; The switching time efficiency value represents the percentage of the total number of times the energy management page updates the energy consumption information of the industrial park that deviates from the set update time; The data management value represents the sum of the number of times data is lost during data transmission and the number of times the value after data transmission does not match the value before data transmission after data transmission, after data normalization processing; The switching time efficiency value and the data management value are labeled QH and SG respectively, and the switching time efficiency value QH and the data management value SG are substituted into the formula K = (QH × a1 + SG) 2 ×a2×a3 to obtain the information record evaluation coefficient, where a1 and a2 are the preset proportional factor coefficients of the switching timeliness value and the data management value, respectively, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, K is the information record evaluation coefficient, and the information record evaluation coefficient K is compared and analyzed with the preset information record evaluation coefficient threshold value stored in the internal input: If the ratio between the information recording evaluation coefficient K and the preset information recording evaluation coefficient threshold is less than 1, a valid signal is generated; If the ratio between the information recording evaluation coefficient K and the preset information recording evaluation coefficient threshold is greater than or equal to 1, a repair signal is generated.

6. The comprehensive energy management system for an adaptive industrial park according to claim 1, characterized in that: The energy management fluency supervision and analysis process of the smooth operation supervision module is as follows: The operation data of the energy management page within the time threshold is obtained, the operation data represents the total number of operations, and then the page fluency value corresponding to each operation number of the energy management page is obtained. The page fluency value represents the time between the energy management page generating the operation instruction and the time when the operation instruction is completed. A rectangular coordinate system is established with the number of operations as the X-axis and the page fluency value as the Y-axis. A page fluency value curve is drawn by plotting points, and then the maximum peak value and the minimum trough value in the page fluency value curve are obtained. The difference between the maximum peak value and the minimum trough value in the page fluency value curve is set as the fluency obstacle index; Compare and analyze the smoothness obstruction index with the preset smoothness obstruction index threshold value stored in the internal storage: If the ratio between the smoothness obstruction index and the preset smoothness obstruction index threshold is less than 1, no signal is generated; If the ratio between the smoothness obstruction index and the preset smoothness obstruction index threshold is greater than or equal to 1, an obstruction signal is generated.

7. The comprehensive energy management system for an adaptive industrial park according to claim 1, characterized in that: The comprehensive energy management risk analysis process of the management performance analysis module is as follows: Obtain the stability evaluation coefficient, information recording evaluation coefficient K and smooth obstruction index displayed within the time threshold, label the stability evaluation coefficient and smooth obstruction index as W and L respectively, and substitute the stability evaluation coefficient W, information recording evaluation coefficient K and smooth obstruction index L into the formula R = (W×K×L) 2 ×v1×v2×v3 to obtain the management obstacle assessment coefficient, where v1, v2 and v3 are the preset weight factor coefficients of the display stability assessment coefficient W, the information recording assessment coefficient K and the smooth obstacle index L respectively, v1, v2 and v3 are all greater than zero, R is the management obstacle assessment coefficient, and the management obstacle assessment coefficient R is compared and analyzed with the preset management obstacle assessment coefficient threshold value stored in the internal entry: If the ratio between the management obstacle assessment coefficient R and the preset management obstacle assessment coefficient threshold is less than 1, no signal is generated; If the ratio between the management obstacle assessment coefficient R and the preset management obstacle assessment coefficient threshold is greater than or equal to 1, a control signal is generated.

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