Metering analysis method and system for fuel gas for forging heating

Abstract

The invention discloses a fuel gas metering analysis method and system for forging heating, and relates to the technical field of forging heating fuel gas metering analysis, and the method comprises the following steps: the working state parameters of each forging device in a target time period are collected, and the working state parameters comprise the working time length data of the forging device and the data of machined parts; the gas distribution flow value of each forging device in the target time period is collected, and the working state parameters and the gas distribution flow values of all the forging devices are associated and integrated to obtain machining parameters A of the forging devices; and integrating to obtain a machining parameter set of each forging device. According to the method, multi-dimensional monitoring analysis energy consumption data is established, correction analysis processing is carried out, the problem of abnormal energy consumption is found and solved in time by evaluating and analyzing the comprehensive energy consumption deviation coefficient of the forging equipment, the energy consumption level of the forging equipment is reduced, and greater value is created for enterprises.

Description

Technical Field

[0001] The invention relates to the technical field of forging heating fuel gas metering and analysis, and in particular to a forging heating fuel gas metering and analysis method and system. Background Art

[0002] In the forging heating process, gas is an important energy source, and its metering and analysis are of great significance for cost control, energy consumption assessment and production safety. The metering and analysis method for gas used for forging heating refers to monitoring the consumption, efficiency and heat loss of gas during the use of gas to conduct a comprehensive analysis and evaluation of the forging heating equipment, improve energy utilization efficiency, and promote energy conservation and emission reduction.

[0003] For example, the application publication number is CN111652483A, the application publication date is 2020.09.11, and the name is "A Hot Forging Energy Management System", which specifically includes a computer room data server, a client workstation in the central control room of a precision forging workshop, and multiple collection terminals; the computer room data server and the client workstation in the central control room of the precision forging workshop are communicatively connected; multiple collection terminals are respectively communicatively connected to the computer room data server; the collection terminal is communicatively connected to multiple electricity meters and gas meters; the collection terminal includes a collection terminal in the central control room of the precision forging workshop, multiple forging workshop collection terminals, a heat treatment workshop collection terminal, and a mold workshop collection terminal.

[0004] Although the above application collects forging energy data through multiple collection terminals and displays them in combination for comparison, it lacks multi-dimensional comprehensive analysis of the collected data, which makes it impossible for staff to intuitively compare and understand the actual comprehensive energy consumption conditions of each forging equipment, making it inconvenient to conduct energy consumption assessment, analysis and management. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for measuring and analyzing fuel gas for forging heating, so as to solve the above-mentioned deficiencies in the prior art.

[0006] In order to achieve the above object, the present invention provides the following technical solution: a method for measuring and analyzing forging heating gas, comprising the following steps:

[0007] Collecting the working state parameters of each forging equipment in the target time period, wherein the working state parameters include its working time data and processed parts data;

[0008] Collect the gas flow value of each forging equipment in the target time period, and associate and integrate the working state parameters of each forging equipment and the gas flow value to obtain the forging equipment processing parameter A;

[0009] The processing parameter sets of each forging equipment are obtained by integration: A1 (T1, S1, V1), A2 (T2, S2, V2), A3 (T3, S3, V3) ... An (Tn, Sn, Vn), Tn represents the working time data of the nth forging equipment in the target time period, Sn represents the number of parts processed by the nth forging equipment in the target time period, and Vn represents the gas flow value of the nth forging equipment in the target time period;

[0010] Calculate the gas distribution time consumption coefficient Vt of the forging equipment based on the processing parameters of the forging equipment, integrate to obtain the gas distribution time consumption coefficient set of each forging equipment, calculate the gas distribution production consumption coefficient Vs of the forging equipment based on the processing parameters of the forging equipment, and integrate to obtain the gas distribution production consumption coefficient set of each forging equipment;

[0011] The gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set are subjected to feature correction and extraction, and the comprehensive energy consumption deviation coefficient of each forging equipment is integrated and correlated to calculate;

[0012] The comprehensive energy consumption deviation coefficient of each forging equipment is evaluated and analyzed through the comprehensive energy consumption deviation coefficient threshold, and the forging equipment with abnormal energy consumption is marked and feedback is given.

[0013] As a further description of the above technical solution: based on the processing parameters of the forging equipment, the gas distribution time consumption coefficient Vt of the forging equipment is calculated, and the gas distribution time consumption coefficient set of each forging equipment is obtained by integration:

[0014] The calculation formula of the gas distribution time consumption coefficient Vt is: Where T represents the working time data of the forging equipment within the target time period, and V represents the gas distribution flow value within the target time period of the forging equipment;

[0015] Based on the calculation formula of the gas distribution time consumption coefficient Vt, the processing parameter set of each forging equipment is called to calculate the gas distribution time consumption coefficient of each forging equipment, and the time consumption coefficient set is integrated and recorded as (Vt1, Vt2, Vt3...Vtn), where Vtn represents the time consumption coefficient of the nth forging equipment.

[0016] As a further description of the above technical solution: based on the processing parameters of the forging equipment, the gas distribution consumption coefficient Vs of the forging equipment is calculated, and the gas distribution consumption coefficient set of each forging equipment is obtained by integration, which is specifically:

[0017] The calculation formula of gas distribution consumption coefficient Vs is: Where S represents the part data processed within the target time period of the forging equipment;

[0018] Based on the calculation formula of the gas distribution consumption coefficient Vs, the processing parameter set of each forging equipment is called up to calculate the gas distribution time consumption coefficient of each forging equipment, and the consumption coefficient set is integrated and recorded as (Vs1, Vs2, Vs3...Vsn), where Vsn represents the consumption coefficient of the nth forging equipment.

[0019] As a further description of the above technical solution: extracting the characteristics of the gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set, and integrating and correlating the calculation of the comprehensive energy consumption deviation coefficient of each forging equipment specifically includes the following steps:

[0020] The gas distribution consumption coefficient set and gas distribution time consumption coefficient set of each forging equipment are respectively subjected to feature correction, extraction and integration to obtain the corrected consumption coefficient set (Vs1, Vs2, Vs3...Vsm) and the corrected time consumption coefficient set (Vs2, Vs3...Vsm). t1 、V t2 、V t3 ...V tm ), where m<n;

[0021] Based on the corrected consumption coefficient set, the representative value Vsd of the consumption coefficient and the fluctuation coefficient Fs of the consumption coefficient are calculated; based on the corrected time consumption coefficient set, the representative value Vtd of the time consumption coefficient and the fluctuation coefficient Ft of the time consumption coefficient are calculated;

[0022] The time consumption coefficient of each forging equipment is retrieved, and the representative value of the time consumption coefficient Vtd and the time consumption coefficient fluctuation coefficient Ft are associated to calculate the time consumption deviation coefficient Pt; the production consumption coefficient of each forging equipment is retrieved, and the representative value of the production consumption coefficient Vsd and the production consumption coefficient fluctuation coefficient Fs are associated to calculate the production consumption deviation coefficient Ps, and the comprehensive energy consumption deviation coefficient is calculated in an integrated manner.

[0023] As a further description of the above technical solution: performing feature correction, extraction and integration on the gas distribution consumption coefficient set of each forging equipment to obtain the corrected consumption coefficient set specifically includes the following steps:

[0024] Set the extraction ratio K to treat all the data points of the production and consumption coefficient as a single cluster;

[0025] Calculate the Euclidean distance between all clusters, select the two closest clusters to merge and form a new cluster;

[0026] Based on the current new cluster center point position, select the cluster closest to merge to form a new cluster;

[0027] Repeat this process and count the number of data points m of the production and consumption coefficient in the new cluster, and stop when the ratio of m to n is equal to the extraction ratio K;

[0028] The production and consumption coefficients contained in the new clusters finally formed are integrated to obtain the modified production and consumption coefficient set (Vs1 、V s2 、V s3 ...V sm ).

[0029] As a further description of the above technical solution: Based on the modified consumption coefficient set, the consumption coefficient representative value Vsd and the consumption coefficient fluctuation coefficient Fs are calculated as follows: The calculation formula of the consumption coefficient representative value Vsd is: The calculation formula of the fluctuation coefficient of production and consumption coefficient Fs is: Where V sm represents the time consumption coefficient of the mth forging equipment in the modified time consumption coefficient set, V sm-1 It represents the time consumption coefficient of the m-1th forging equipment in the modified time consumption coefficient set;

[0030] The calculation formula of the representative value of the time consumption coefficient Vtd and the fluctuation coefficient of the time consumption coefficient Ft based on the modified time consumption coefficient set is as follows: The calculation formula of the time consumption coefficient fluctuation coefficient Ft is: V tm represents the consumption coefficient of the mth forging equipment in the modified consumption coefficient set, V sm-1 Represents the production and consumption coefficient of the m-1th forging equipment in the modified production and consumption coefficient set.

[0031] As a further description of the above technical solution: the time consumption coefficient representative value Vtd and the time consumption coefficient fluctuation coefficient Ft are associated to calculate the time consumption deviation coefficient Pt, and the calculation formula of the time consumption deviation coefficient Pt is Pt=(Vt-Vtd)*(1-Ft);

[0032] The production and consumption deviation coefficient Ps is calculated by associating the production and consumption coefficient representative value Vsd and the production and consumption coefficient fluctuation coefficient Fs. Specifically, the calculation formula of the production and consumption deviation coefficient Ps is Ps=(Vs-Vsd)*(1-Fst);

[0033] The integrated calculation of the comprehensive energy consumption deviation coefficient is specifically to perform weighted summation of the time consumption deviation coefficient Pt and the output consumption deviation coefficient Ps to obtain the comprehensive energy consumption deviation coefficient Pz of the corresponding forging equipment.

[0034] As a further description of the above technical solution: the comprehensive energy consumption deviation coefficient of each forging equipment is evaluated and analyzed through the comprehensive energy consumption deviation coefficient threshold, and the forging equipment with abnormal energy consumption is marked and feedback is given as follows:

[0035] The comprehensive energy consumption deviation coefficient threshold Pe is set, and the comprehensive energy consumption deviation coefficient Pz of each forging equipment is compared with the comprehensive energy consumption deviation coefficient threshold Pe; when Pz>Pe, the corresponding forging equipment is marked as abnormal energy consumption equipment and feedback is given.

[0036] A gas metering and analysis system for forging heating, comprising:

[0037] A data acquisition and processing module, which is used to collect the working state parameters and gas flow value of each forging equipment in the target time period, and integrate the collected data to obtain a series set of forging equipment processing parameters;

[0038] A calculation processing module, which is used to read the processing parameters of the forging equipment, calculate the gas distribution time consumption coefficient Vt and the gas distribution production consumption coefficient Vs of the forging equipment respectively, and integrate to obtain the gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set;

[0039] An energy consumption deviation calculation unit, which is used to perform feature correction extraction on the gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set, and integrate and correlate the calculation of the comprehensive energy consumption deviation coefficient of each forging equipment;

[0040] The evaluation and analysis module evaluates and analyzes the comprehensive energy consumption deviation coefficient of each forging equipment through the comprehensive energy consumption deviation coefficient threshold, marks the forging equipment with abnormal energy consumption and provides feedback

[0041] As a further description of the above technical solution: the energy consumption deviation calculation unit includes:

[0042] A correction extraction module is used to extract and integrate the correction features of the gas distribution production consumption coefficient set and the gas distribution time consumption coefficient set of each forging equipment, and obtain a correction production consumption coefficient set and a correction time consumption coefficient set;

[0043] A characteristic calculation module, which calculates a representative value of a production consumption coefficient and a fluctuation coefficient of the production consumption coefficient based on a modified production consumption coefficient set, and calculates a representative value of a time consumption coefficient and a fluctuation coefficient of the time consumption coefficient based on a modified time consumption coefficient set;

[0044] The integrated calculation module is used to retrieve the time consumption coefficient of each forging equipment, associate the representative value of the time consumption coefficient and the fluctuation coefficient of the time consumption coefficient to calculate the time consumption deviation coefficient, retrieve the production consumption coefficient of each forging equipment, associate the representative value of the production consumption coefficient Vsd and the fluctuation coefficient of the production consumption coefficient Fs to calculate the production consumption deviation coefficient Ps, and integrate and calculate the comprehensive energy consumption deviation coefficient.

[0045] In the above technical scheme, the present invention provides a method and system for gas metering and analysis for forging heating, which performs feature correction extraction on a gas distribution time consumption coefficient set and a gas distribution production consumption coefficient set to obtain a corrected time consumption coefficient set and a corrected production consumption coefficient set, and then calculates the representative value of the production consumption coefficient and the representative value of the time consumption coefficient respectively, and performs correlation adjustment based on the production consumption coefficient fluctuation coefficient and the time consumption coefficient fluctuation coefficient, thereby reducing the interference of normal energy consumption fluctuations, significantly improving the accuracy of calculating the comprehensive energy consumption deviation coefficient of forging equipment, and realizing the establishment of multi-dimensional monitoring and analysis of energy consumption data, and performing correction analysis and processing. By evaluating and analyzing the comprehensive energy consumption deviation coefficient of forging equipment, abnormal energy consumption problems can be discovered and resolved in a timely manner, and the energy consumption level of forging equipment can be reduced to create greater value for the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0047] Figure 1 A schematic diagram of a flow chart of a method for measuring and analyzing forging heating gas provided by an embodiment of the present invention;

[0048] Figure 2 A schematic diagram of a forging heating gas metering and analysis system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0050] See also Figure 1 The embodiment of the present invention provides a technical solution: a method for measuring and analyzing forging heating gas, comprising the following steps:

[0051] Collect the working state parameters of each forging equipment in the target time period, wherein the working state parameters include its working time data and processed parts data; specifically, firstly preset a detection and collection target time period, the target time period is greater than the time for the forging equipment to forge 10 parts, and collect the working time data and processed parts data of the forging equipment in the target time period;

[0052] The gas flow rate value of each forging equipment in the target time period is collected, and the working state parameters of each forging equipment and the gas flow rate value are correlated and integrated to obtain the forging equipment processing parameter A; wherein the gas flow rate value of each forging equipment in the target time period is collected by installing a flow meter on the gas pipeline of the forging equipment to directly measure the gas flow rate value passing through the pipeline within the target time period;

[0053] The processing parameter sets of each forging equipment are obtained by integration: A1 (T1, S1, V1), A2 (T2, S2, V2), A3 (T3, S3, V3) ... An (Tn, Sn, Vn), wherein An represents the processing parameter set of the nth forging equipment, and each processing parameter set of the forging equipment further includes three data indicators, namely, working time data, processed parts data and gas flow value. Specifically, Tn represents the working time data of the nth forging equipment in the target time period, Sn represents the number of parts processed by the nth forging equipment in the target time period, and Vn represents the gas flow value of the nth forging equipment in the target time period;

[0054] Calculate the gas distribution time consumption coefficient Vt of the forging equipment based on the processing parameters of the forging equipment, integrate to obtain the gas distribution time consumption coefficient set of each forging equipment, calculate the gas distribution production consumption coefficient Vs of the forging equipment based on the processing parameters of the forging equipment, and integrate to obtain the gas distribution production consumption coefficient set of each forging equipment;

[0055] The gas distribution time consumption coefficient Vt of the forging equipment is calculated based on the processing parameters of the forging equipment, and the gas distribution time consumption coefficient set of each forging equipment is obtained by integration:

[0056] The calculation formula of the gas distribution time consumption coefficient Vt is: Where T represents the working time data of the forging equipment within the target time period, and V represents the gas distribution flow value within the target time period of the forging equipment;

[0057] Based on the calculation formula of the gas distribution time consumption coefficient Vt, the processing parameter set of each forging equipment is called to calculate the gas distribution time consumption coefficient of each forging equipment, and the time consumption coefficient set is integrated and recorded as (Vt1, Vt2, Vt3...Vtn), where Vtn represents the time consumption coefficient of the nth forging equipment.

[0058] The gas distribution consumption coefficient Vs of the forging equipment is calculated based on the processing parameters of the forging equipment, and the gas distribution consumption coefficient set of each forging equipment is obtained by integration:

[0059] The calculation formula of gas distribution consumption coefficient Vs is: Where S represents the part data processed within the target time period of the forging equipment;

[0060] Based on the calculation formula of the gas distribution consumption coefficient Vs, the processing parameter set of each forging equipment is called up to calculate the gas distribution time consumption coefficient of each forging equipment, and the consumption coefficient set is integrated and recorded as (Vs1, Vs2, Vs3...Vsn), where Vsn represents the consumption coefficient of the nth forging equipment.

[0061] The gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set are subjected to feature correction and extraction, and the comprehensive energy consumption deviation coefficient of each forging equipment is integrated and correlated to calculate;

[0062] The characteristics of the gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set are corrected and extracted, and the comprehensive energy consumption deviation coefficient of each forging equipment is integrated and associated to be calculated, which specifically includes the following steps:

[0063] The gas distribution consumption coefficient set and gas distribution time consumption coefficient set of each forging equipment are respectively subjected to feature correction, extraction and integration to obtain the corrected consumption coefficient set (Vs1, Vs2, Vs3...Vsm) and the corrected time consumption coefficient set (Vs2, Vs3...Vsm). t1 、V t2 、V t3 ...V tm ), where m<n;

[0064] Based on the corrected consumption coefficient set, the representative value Vsd of the consumption coefficient and the fluctuation coefficient Fs of the consumption coefficient are calculated; based on the corrected time consumption coefficient set, the representative value Vtd of the time consumption coefficient and the fluctuation coefficient Ft of the time consumption coefficient are calculated;

[0065] The time consumption coefficient of each forging equipment is retrieved, and the representative value of the time consumption coefficient Vtd and the time consumption coefficient fluctuation coefficient Ft are associated to calculate the time consumption deviation coefficient Pt; the production consumption coefficient of each forging equipment is retrieved, and the representative value of the production consumption coefficient Vsd and the production consumption coefficient fluctuation coefficient Fs are associated to calculate the production consumption deviation coefficient Ps, and the comprehensive energy consumption deviation coefficient is calculated in an integrated manner.

[0066] Furthermore, the gas distribution consumption coefficient set of each forging equipment is subjected to feature correction, extraction and integration, and obtaining the corrected consumption coefficient set specifically includes the following steps:

[0067] Set the extraction ratio K, and treat all the data points of the production and consumption coefficient as a single cluster, where the extraction ratio K is a preset value, and the optional K=0.9;

[0068] Calculate the Euclidean distance between all clusters, select the two closest clusters to merge and form a new cluster;

[0069] Based on the current new cluster center point position, select the cluster closest to merge to form a new cluster;

[0070] Repeat this process and count the number of data points m of the production and consumption coefficient in the new cluster, and stop when the ratio of m to n is equal to the extraction ratio K;

[0071] The production and consumption coefficients contained in the new clusters finally formed are integrated to obtain the modified production and consumption coefficient set (V s1 、V s2 、V s3 ...V sm ).

[0072] The specific steps of extracting and integrating the characteristics of the gas distribution time consumption coefficient set of each forging equipment to obtain the corrected time consumption coefficient set are as follows:

[0073] Set the extraction ratio K, and treat all the data points of the time consumption coefficient as a single cluster, where the extraction ratio K is a preset value, and optional K = 0.9;

[0074] Calculate the Euclidean distance between all clusters, select the two closest clusters to merge and form a new cluster;

[0075] Based on the current new cluster center point position, select the cluster closest to merge to form a new cluster;

[0076] Repeat this process and count the number of data points m of the time consumption coefficient in the new cluster, and stop when the ratio of m to n is equal to the extraction ratio K;

[0077] The production and consumption coefficients contained in the new clusters finally formed are integrated to obtain the modified time consumption coefficient set (V t1 、V t2 、V t3 ...V tm ).

[0078] The calculation formula of the representative value of the consumption coefficient Vsd and the fluctuation coefficient of the consumption coefficient Fs based on the modified consumption coefficient set is as follows: The calculation formula of the fluctuation coefficient of production and consumption coefficient Fs is: Where V sm represents the time consumption coefficient of the mth forging equipment in the modified time consumption coefficient set, V sm-1 It represents the time consumption coefficient of the m-1th forging equipment in the modified time consumption coefficient set;

[0079] The calculation formula of the representative value of the time consumption coefficient Vtd and the fluctuation coefficient of the time consumption coefficient Ft based on the modified time consumption coefficient set is as follows: The calculation formula of the time consumption coefficient fluctuation coefficient Ft is: V tm represents the consumption coefficient of the mth forging equipment in the modified consumption coefficient set, V sm-1Represents the production and consumption coefficient of the m-1th forging equipment in the modified production and consumption coefficient set.

[0080] The time consumption deviation coefficient Pt is calculated by associating the time consumption coefficient representative value Vtd and the time consumption coefficient fluctuation coefficient Ft. The calculation formula of the time consumption deviation coefficient Pt is Pt=(Vt-Vtd)*(1-Ft);

[0081] The production and consumption deviation coefficient Ps is calculated by associating the production and consumption coefficient representative value Vsd and the production and consumption coefficient fluctuation coefficient Fs. Specifically, the calculation formula of the production and consumption deviation coefficient Ps is Ps=(Vs-Vsd)*(1-Fst);

[0082] The integrated calculation of the comprehensive energy consumption deviation coefficient is specifically to obtain the comprehensive energy consumption deviation coefficient Pz of the corresponding forging equipment by weighted summing the time consumption deviation coefficient Pt and the production consumption deviation coefficient Ps. The calculation formula of the comprehensive energy consumption deviation coefficient Pz is: Pz = (Pt*θ1) + (Ps*θ2), where θ1 and θ2 are weight factors preset by the staff, and θ1 and θ2 are both greater than 0.

[0083] Among them, the production consumption coefficient set and time consumption coefficient set obtained by calculation and integration include all forging equipment. There may be interference from forging equipment with abnormal energy consumption, which leads to a large error in the calculation of the comprehensive energy consumption deviation coefficient. By setting the extraction ratio, the gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set are feature-corrected and extracted to obtain the corrected time consumption coefficient set and the corrected production consumption coefficient set, and then the representative value of the production consumption coefficient and the representative value of the time consumption coefficient are calculated respectively, and the correlation adjustment is made based on the production consumption coefficient fluctuation coefficient and the time consumption coefficient fluctuation coefficient to reduce the interference of normal energy consumption fluctuations and significantly improve the accuracy of the calculation of the comprehensive energy consumption deviation coefficient of forging equipment.

[0084] The comprehensive energy consumption deviation coefficient of each forging equipment is evaluated and analyzed through the comprehensive energy consumption deviation coefficient threshold, and the forging equipment with abnormal energy consumption is marked and feedback is given.

[0085] The comprehensive energy consumption deviation coefficient of each forging equipment is evaluated and analyzed through the comprehensive energy consumption deviation coefficient threshold, and the forging equipment with abnormal energy consumption is marked and feedback is given as follows:

[0086] The comprehensive energy consumption deviation coefficient threshold Pe is set, and the comprehensive energy consumption deviation coefficient Pz of each forging equipment is compared with the comprehensive energy consumption deviation coefficient threshold Pe; when Pz>Pe, the corresponding forging equipment is marked as abnormal energy consumption equipment and feedback is given. The staff can optimize the maintenance of the forging equipment with abnormal energy consumption according to the feedback, establish multi-dimensional monitoring and analysis of energy consumption data, strengthen energy management, timely discover and solve abnormal energy consumption problems, and reduce the energy consumption level of forging equipment to create greater value for the enterprise.

[0087] See also Figure 2 The embodiment of the present invention provides another technical solution: a forging heating gas metering and analysis system, comprising:

[0088] A data acquisition and processing module, which is used to collect the working state parameters and gas flow value of each forging equipment in the target time period, and integrate the collected data to obtain a series set of forging equipment processing parameters;

[0089] A calculation processing module, which is used to read the processing parameters of the forging equipment, calculate the gas distribution time consumption coefficient Vt and the gas distribution production consumption coefficient Vs of the forging equipment respectively, and integrate to obtain the gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set;

[0090] An energy consumption deviation calculation unit, which is used to perform feature correction extraction on the gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set, and integrate and correlate the calculation of the comprehensive energy consumption deviation coefficient of each forging equipment;

[0091] The evaluation and analysis module evaluates and analyzes the comprehensive energy consumption deviation coefficient of each forging equipment through the comprehensive energy consumption deviation coefficient threshold, marks the forging equipment with abnormal energy consumption and provides feedback.

[0092] The energy consumption deviation calculation unit comprises:

[0093] A correction extraction module is used to extract and integrate the correction features of the gas distribution production consumption coefficient set and the gas distribution time consumption coefficient set of each forging equipment, so as to obtain a corrected production consumption coefficient set and a corrected time consumption coefficient set; a feature calculation module is used to calculate the representative value of the production consumption coefficient and the production consumption coefficient fluctuation coefficient based on the corrected production consumption coefficient set, and to calculate the representative value of the time consumption coefficient and the time consumption coefficient fluctuation coefficient based on the corrected time consumption coefficient set; an integrated calculation module is used to retrieve the time consumption coefficient of each forging equipment, associate the representative value of the time consumption coefficient and the time consumption coefficient fluctuation coefficient to calculate the time consumption deviation coefficient, retrieve the production consumption coefficient of each forging equipment, associate the representative value of the production consumption coefficient Vsd and the production consumption coefficient fluctuation coefficient Fs to calculate the production consumption deviation coefficient Ps, and integrate and calculate the comprehensive energy consumption deviation coefficient.

[0094] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for measuring and analyzing forging heating gas, characterized in that: The following steps are involved: Collecting the working state parameters of each forging equipment in the target time period, wherein the working state parameters include its working time data and processed parts data; Collect the gas flow value of each forging equipment in the target time period, and associate and integrate the working state parameters of each forging equipment and the gas flow value to obtain the forging equipment processing parameter A; The processing parameter sets of each forging equipment are obtained by integration: A1 (T1, S1, V1), A2 (T2, S2, V2), A3 (T3, S3, V3) ... An (Tn, Sn, Vn), Tn represents the working time data of the nth forging equipment in the target time period, Sn represents the number of parts processed by the nth forging equipment in the target time period, and Vn represents the gas flow value of the nth forging equipment in the target time period; Calculate the gas distribution time consumption coefficient Vt of the forging equipment based on the processing parameters of the forging equipment, integrate to obtain the gas distribution time consumption coefficient set of each forging equipment, calculate the gas distribution production consumption coefficient Vs of the forging equipment based on the processing parameters of the forging equipment, and integrate to obtain the gas distribution production consumption coefficient set of each forging equipment; The gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set are subjected to feature correction and extraction, and the comprehensive energy consumption deviation coefficient of each forging equipment is integrated and correlated to calculate; The comprehensive energy consumption deviation coefficient of each forging equipment is evaluated and analyzed through the comprehensive energy consumption deviation coefficient threshold, and the forging equipment with abnormal energy consumption is marked and feedback is given.

2. A method for measuring and analyzing forging heating gas according to claim 1, characterized in that: The gas distribution time consumption coefficient Vt of the forging equipment is calculated based on the processing parameters of the forging equipment, and the gas distribution time consumption coefficient set of each forging equipment is obtained by integration: The calculation formula of the gas distribution time consumption coefficient Vt is: Where T represents the working time data of the forging equipment within the target time period, and V represents the gas distribution flow value within the target time period of the forging equipment; Based on the calculation formula of the gas distribution time consumption coefficient Vt, the processing parameter set of each forging equipment is called to calculate the gas distribution time consumption coefficient of each forging equipment, and the time consumption coefficient set is integrated and recorded as (Vt1, Vt2, Vt3...Vtn), where Vtn represents the time consumption coefficient of the nth forging equipment.

3. A forging heating gas metering and analysis method according to claim 2, characterized in that: The gas distribution consumption coefficient Vs of the forging equipment is calculated based on the processing parameters of the forging equipment, and the gas distribution consumption coefficient set of each forging equipment is obtained by integration: The calculation formula of gas distribution consumption coefficient Vs is: Where S represents the part data processed within the target time period of the forging equipment; Based on the calculation formula of the gas distribution consumption coefficient Vs, the processing parameter set of each forging equipment is called up to calculate the gas distribution time consumption coefficient of each forging equipment, and the consumption coefficient set is integrated and recorded as (Vs1, Vs2, Vs3...Vsn), where Vsn represents the consumption coefficient of the nth forging equipment.

4. A forging heating gas metering and analysis method according to claim 3, characterized in that: The characteristics of the gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set are corrected and extracted, and the comprehensive energy consumption deviation coefficient of each forging equipment is integrated and associated to be calculated, which specifically includes the following steps: The gas distribution consumption coefficient set and gas distribution time consumption coefficient set of each forging equipment are respectively subjected to feature correction, extraction and integration to obtain the corrected consumption coefficient set (Vs1, Vs2, Vs3...Vsm) and the corrected time consumption coefficient set (Vs2, Vs3...Vsm). t1 、V t2 、V t3 ...V tm ), where m<n; Based on the corrected consumption coefficient set, the representative value Vsd of the consumption coefficient and the fluctuation coefficient Fs of the consumption coefficient are calculated; based on the corrected time consumption coefficient set, the representative value Vtd of the time consumption coefficient and the fluctuation coefficient Ft of the time consumption coefficient are calculated; The time consumption coefficient of each forging equipment is retrieved, and the representative value of the time consumption coefficient Vtd and the time consumption coefficient fluctuation coefficient Ft are associated to calculate the time consumption deviation coefficient Pt; the production consumption coefficient of each forging equipment is retrieved, and the representative value of the production consumption coefficient Vsd and the production consumption coefficient fluctuation coefficient Fs are associated to calculate the production consumption deviation coefficient Ps, and the comprehensive energy consumption deviation coefficient is calculated in an integrated manner.

5. A method for measuring and analyzing forging heating gas according to claim 4, characterized in that: The characteristic correction, extraction and integration of the gas distribution consumption coefficient set of each forging equipment to obtain the corrected consumption coefficient set specifically includes the following steps: Set the extraction ratio K to treat all the data points of the production and consumption coefficient as a single cluster; Calculate the Euclidean distance between all clusters, select the two closest clusters to merge and form a new cluster; Based on the current new cluster center point position, select the cluster closest to merge to form a new cluster; Repeat this process and count the number of data points m of the production and consumption coefficient in the new cluster, and stop when the ratio of m to n is equal to the extraction ratio K; The production and consumption coefficients contained in the new clusters finally formed are integrated to obtain the modified production and consumption coefficient set (V s1 、V s2 、V s3 ...V sm ).

6. A method for measuring and analyzing forging heating gas according to claim 4, characterized in that: The calculation formula of the representative value of the consumption coefficient Vsd and the fluctuation coefficient of the consumption coefficient Fs based on the modified consumption coefficient set is as follows: The calculation formula of the production and consumption coefficient fluctuation coefficient Fs is: Where V sm represents the time consumption coefficient of the mth forging equipment in the modified time consumption coefficient set, V sm-1 It represents the time consumption coefficient of the m-1th forging equipment in the modified time consumption coefficient set; The calculation formula of the representative value of the time consumption coefficient Vtd and the fluctuation coefficient of the time consumption coefficient Ft based on the modified time consumption coefficient set is as follows: The calculation formula of the time consumption coefficient fluctuation coefficient Ft is: V tm represents the consumption coefficient of the mth forging equipment in the modified consumption coefficient set, V sm-1 Represents the consumption coefficient of the m-1th forging equipment in the modified consumption coefficient set.

7. A method for measuring and analyzing forging heating gas according to claim 6, characterized in that: The time consumption deviation coefficient Pt is calculated by associating the time consumption coefficient representative value Vtd and the time consumption coefficient fluctuation coefficient Ft. The calculation formula of the time consumption deviation coefficient Pt is Pt=(Vt-Vtd) / (1-Ft); The production and consumption deviation coefficient Ps is calculated by associating the production and consumption coefficient representative value Vsd and the production and consumption coefficient fluctuation coefficient Fs. Specifically, the calculation formula of the production and consumption deviation coefficient Ps is Ps=(Vs-Vsd)*(1-Fst); The integrated calculation of the comprehensive energy consumption deviation coefficient is specifically to perform weighted summation of the time consumption deviation coefficient Pt and the output consumption deviation coefficient Ps to obtain the comprehensive energy consumption deviation coefficient Pz of the corresponding forging equipment.

8. A method for measuring and analyzing forging heating gas according to claim 1, characterized in that: The comprehensive energy consumption deviation coefficient of each forging equipment is evaluated and analyzed through the comprehensive energy consumption deviation coefficient threshold, and the forging equipment with abnormal energy consumption is marked and feedback is given as follows: The comprehensive energy consumption deviation coefficient threshold Pe is set, and the comprehensive energy consumption deviation coefficient Pz of each forging equipment is compared with the comprehensive energy consumption deviation coefficient threshold Pe; when Pz>Pe, the corresponding forging equipment is marked as abnormal energy consumption equipment and feedback is given.

9. A gas metering and analysis system for forging heating, characterized in that: include: A data acquisition and processing module, which is used to collect the working state parameters and gas flow value of each forging equipment in the target time period, and integrate the collected data to obtain a series set of forging equipment processing parameters; A calculation processing module, which is used to read the processing parameters of the forging equipment, calculate the gas distribution time consumption coefficient Vt and the gas distribution production consumption coefficient Vs of the forging equipment respectively, and integrate to obtain the gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set; An energy consumption deviation calculation unit, which is used to perform feature correction extraction on the gas distribution time consumption coefficient set and the gas distribution production consumption coefficient set, and integrate and correlate the calculation of the comprehensive energy consumption deviation coefficient of each forging equipment; The evaluation and analysis module evaluates and analyzes the comprehensive energy consumption deviation coefficient of each forging equipment through the comprehensive energy consumption deviation coefficient threshold, marks the forging equipment with abnormal energy consumption and provides feedback.

10. A forging heating gas metering and analysis system according to claim 9, characterized in that: The energy consumption deviation calculation unit comprises: A correction extraction module is used to extract and integrate the correction features of the gas distribution production consumption coefficient set and the gas distribution time consumption coefficient set of each forging equipment, and obtain a correction production consumption coefficient set and a correction time consumption coefficient set; A characteristic calculation module, which calculates a representative value of a production consumption coefficient and a fluctuation coefficient of the production consumption coefficient based on a modified production consumption coefficient set, and calculates a representative value of a time consumption coefficient and a fluctuation coefficient of the time consumption coefficient based on a modified time consumption coefficient set; The integrated calculation module is used to retrieve the time consumption coefficient of each forging equipment and associate the time consumption coefficient with the The table value and the time consumption coefficient fluctuation coefficient are used to calculate the time consumption deviation coefficient, and the production consumption coefficient of each forging equipment is retrieved. The consumption coefficient representative value Vsd and the consumption coefficient fluctuation coefficient Fs are correlated to calculate the consumption deviation coefficient Ps. And integrate and calculate the comprehensive energy consumption deviation coefficient.

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