Autoclave operation energy-saving management system and method based on data analysis

Abstract

The invention discloses an autoclave operation energy-saving management system and method based on data analysis, and belongs to the field of data analysis. The invention obtains energy consumption data under various energy-saving modes, obtains autoclave operation data under various energy-saving modes and production data of produced products to perform production abnormality analysis, obtains energy consumption data under various energy-saving modes and imports them into energy-saving evaluation strategies to perform energy-saving evaluation analysis, comprehensively analyzes production abnormality analysis results and energy-saving evaluation analysis results obtained under various energy-saving modes, selects the optimal energy-saving mode for production according to the comprehensive analysis results, selects the most suitable energy-saving mode based on the production quality of products, damage to equipment and energy-saving and energy-consuming conditions, accurately selects and manages energy-saving modes, avoids damage to production products and equipment caused by selecting inappropriate energy-saving modes, and has high safety and production efficiency.

Description

Technical Field

[0001] The invention belongs to the field of data analysis, and in particular relates to an autoclave operation energy-saving management system and method based on data analysis. Background Art

[0002] Autoclave is a large pressure vessel, mainly used in the manufacture of building materials, such as lime sand bricks, fly ash bricks, aerated concrete blocks, etc. Its function is to promote chemical reactions in building materials under high temperature and high pressure environment, and improve the strength and stability of materials. In addition to the production of building materials, autoclave is also widely used in rubber products, wood drying and anti-corrosion treatment, heavy metal smelting, composite glass steaming, high-pressure treatment of chemical fiber products, high-temperature and high-pressure treatment of canned food, pulp cooking, cable vulcanization, and aerospace industry. There may be multiple energy-saving modes during the operation of the autoclave, and how to choose the energy-saving mode is a problem;

[0003] In the process of energy-saving management of autoclave operation, the existing technology cannot comprehensively select the most suitable energy-saving mode based on the production quality of the product, the damage of the equipment and the energy-saving and energy-consuming conditions, and thus cannot accurately select and manage the energy-saving mode, resulting in the damage of the production products and equipment caused by the selection of an inappropriate energy-saving mode, resulting in reduced safety and production efficiency. Most of the existing technologies have the above problems;

[0004] For example, a Chinese patent with application publication number CN107064674A discloses an autoclave power supply control device based on a ZigBee control system and its working method, wherein the input ends of the current sensor and the voltage sensor in the device respectively collect line detection current signals and line detection voltage signals, and the output ends of the current sensor and the voltage sensor are respectively connected to the signal conditioning module; wherein the data acquisition module collects and processes the data output by the signal conditioning module, and the output end of the data acquisition module is connected to the power supply site monitor, and the power supply site monitor exchanges data with the power distribution system management monitor in real time through the ZigBee network switch, and the power distribution system management monitor is respectively connected to the fault alarm module and the report output module through wire control; wherein the current sensor is formed by polymer material die-casting, and the polymer material is mainly made of 14 chemical components. The present invention has a high degree of automation, and can realize real-time monitoring of power control parameters and form reports for easy monitoring and reference;

[0005] The above patents all have the problems raised by this background technology. In order to solve the problems raised by this background technology, this application designs an autoclave operation energy-saving management system and method based on data analysis. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention proposes an autoclave operation energy-saving management system and method based on data analysis.

[0007] To achieve the above object, the present invention provides the following technical solution: an autoclave operation energy-saving management method based on data analysis, which comprises the following specific steps:

[0008] Obtaining autoclave operation data under various energy-saving modes and production data of the produced products, and obtaining energy consumption data under various energy-saving modes;

[0009] Obtain the autoclave operation data under various energy-saving modes and the production data of the produced products to conduct production anomaly analysis;

[0010] Obtain energy consumption data under various energy-saving modes and import them into energy-saving assessment strategies for energy-saving assessment analysis;

[0011] Comprehensively analyze the production abnormality analysis results and energy-saving evaluation analysis results obtained under various energy-saving modes;

[0012] Select the optimal energy-saving mode for production based on the comprehensive analysis results.

[0013] It should be noted here that as a preferred technical solution for the autoclave operation energy-saving management method based on data analysis, the specific steps of obtaining the autoclave operation data under various energy-saving modes and the production data of the produced products, and obtaining the energy consumption data under various energy-saving modes are:

[0014] S11, acquiring the autoclave operation data corresponding to various energy-saving modes through sensors, including real-time operation current information, voltage information, pressure data and temperature data of the autoclave operation data, and storing them in a first storage component;

[0015] S12, obtaining production data of the products produced in various energy-saving modes, wherein the production data includes strength data of each point on the surface of the product after production and the distance between each point on the surface and the center point of the product, and storing the data in the second storage component;

[0016] S13. Collect energy consumption data in various energy-saving modes through the energy consumption collection terminal, and store the data in a third storage component.

[0017] It should be noted here that as a preferred technical solution for the autoclave operation energy-saving management method based on data analysis, the acquisition of autoclave operation data in various energy-saving modes and production data of the produced products for production abnormality analysis includes the following specific steps:

[0018] S21, obtaining the operation data of the autoclave in various energy-saving modes and the production data of the produced products;

[0019] S22, importing the autoclave operation data in various energy-saving modes into the operation judgment value calculation formula to calculate the operation judgment value, wherein the operation judgment value calculation formula in the i-th energy-saving mode is: , where Ni is the number of types of operating data, T is the test time, aij is the proportion coefficient of the jth operating data in the i-th energy-saving mode, cijt is the specific value of the jth operating data in the i-th energy-saving mode at time t, cijm is the median value of the safety range of the jth operating data in the i-th energy-saving mode, dt is the time integral, cijmax is the maximum value of the safety range of the jth operating data in the i-th energy-saving mode, and cijmin is the minimum value of the safety range of the jth operating data in the i-th energy-saving mode;

[0020] S23, importing the strength data of each point on the surface of the product after production and the distance between each point on the surface and the center point of the product into the production product strength abnormal value calculation formula to calculate the production product strength abnormal value, wherein the production product strength abnormal value calculation formula in the i-th energy-saving mode is: , where Zi is the number of strength monitoring points of the produced product, Lz is the distance between the zth point on the surface in the i-th energy-saving mode and the center point of the product, fzi is the strength value of the zth monitoring point on the surface in the i-th energy-saving mode, and fm is the strength standard value required for production;

[0021] S24, obtaining the calculated operation judgment value and production product intensity abnormal value under the energy-saving mode, and importing them into the production abnormality analysis coefficient calculation formula to calculate the production abnormality analysis coefficient, wherein the production abnormality analysis coefficient calculation formula under the i-th energy-saving mode is: , where c is the operating judgment value ratio;

[0022] It should be noted here that as a preferred technical solution for the autoclave operation energy-saving management method based on data analysis, the energy consumption data obtained under various energy-saving modes and imported into the energy-saving evaluation strategy for energy-saving evaluation analysis include the following specific steps:

[0023] Obtain energy consumption data under various energy-saving modes and time data for producing the same number of products, calculate the overall energy consumption data for producing the same number of products, and import the overall energy consumption data under various energy-saving modes into the energy consumption evaluation value calculation formula to calculate the energy consumption evaluation value. The energy consumption evaluation value calculation formula under the i-th energy-saving mode is: , where Wi is the overall energy consumption in the i-th energy-saving mode, and n is the number of energy-saving modes.

[0024] It should be noted here that as a preferred technical solution for the autoclave operation energy-saving management method based on data analysis, the comprehensive analysis of the production abnormality analysis results and energy-saving evaluation analysis results obtained under various energy-saving modes includes the following specific contents:

[0025] Obtain the calculated production abnormality analysis coefficient under the i-th energy-saving mode and the energy consumption evaluation value under the i-th energy-saving mode, substitute the calculated production abnormality analysis coefficient under the i-th energy-saving mode and the energy consumption evaluation value under the i-th energy-saving mode into the selection evaluation value calculation formula to calculate the selection evaluation value, wherein the selection evaluation value calculation formula under the i-th energy-saving mode is: ;

[0026] It should be noted here that as a preferred technical solution for the autoclave operation energy-saving management method based on data analysis, the specific content of selecting the optimal energy-saving mode for production based on the comprehensive analysis results is:

[0027] Obtain the calculated selection evaluation values ​​of all energy-saving modes, arrange the selection evaluation values ​​of all energy-saving modes in ascending order, and select the energy-saving mode corresponding to the smallest selection evaluation value for autoclave operation and production.

[0028] The autoclave operation energy-saving management system based on data analysis is implemented based on the above-mentioned autoclave operation energy-saving management method based on data analysis, and specifically includes a data acquisition module, a production abnormality analysis module, an energy-saving assessment analysis module, a comprehensive analysis module, an energy-saving mode selection module and a control module, wherein the data acquisition module is used to acquire the autoclave operation data under various energy-saving modes and the production data of the production products obtained by production, and at the same time acquire the energy consumption data under various energy-saving modes, the production abnormality analysis module is used to acquire the autoclave operation data under various energy-saving modes and the production data of the production products obtained by production for production abnormality analysis, the energy-saving assessment analysis module is used to acquire the energy consumption data under various energy-saving modes and import them into the energy-saving assessment strategy for energy-saving assessment analysis, the comprehensive analysis module is used to conduct a comprehensive analysis of the production abnormality analysis results and the energy-saving assessment analysis results obtained under various energy-saving modes, the energy-saving mode selection module is used to select the optimal energy-saving mode for production according to the comprehensive analysis results, and the control module is used to control the operation of the data acquisition module, the production abnormality analysis module, the energy-saving assessment analysis module, the comprehensive analysis module and the energy-saving mode selection module.

[0029] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0030] The processor executes the above-mentioned autoclave operation energy-saving management method based on data analysis by calling the computer program stored in the memory.

[0031] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned autoclave operation energy-saving management method based on data analysis.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention obtains the operation data of the autoclave under various energy-saving modes and the production data of the produced products, and simultaneously obtains the energy consumption data under various energy-saving modes, obtains the operation data of the autoclave under various energy-saving modes and the production data of the produced products for production abnormality analysis, obtains the energy consumption data under various energy-saving modes and imports them into the energy-saving evaluation strategy for energy-saving evaluation analysis, comprehensively analyzes the production abnormality analysis results and the energy-saving evaluation analysis results obtained under various energy-saving modes, selects the optimal energy-saving mode for production according to the comprehensive analysis results, selects the most suitable energy-saving mode based on the production quality of the product, the damage of the equipment and the energy-saving and energy-consuming conditions, accurately selects and manages the energy-saving mode, avoids the damage of the production products and equipment caused by selecting an inappropriate energy-saving mode, and has higher safety and production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the overall process of the autoclave operation energy-saving management method based on data analysis of the present invention;

[0035] Figure 2 It is a schematic diagram of step S1 of the autoclave operation energy-saving management method based on data analysis of the present invention;

[0036] Figure 3 It is a schematic diagram of step S2 of the autoclave operation energy-saving management method based on data analysis of the present invention;

[0037] Figure 4 It is a schematic diagram of the overall framework of the autoclave operation energy-saving management system based on data analysis of the present invention; DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.

[0039] Embodiment 1. To solve the technical problem raised in the background technology: the existing technology cannot comprehensively consider the production quality of the product, the damage of the equipment and the energy-saving and energy-consuming conditions to select the most suitable energy-saving mode, and thus cannot accurately select and manage the energy-saving mode, resulting in the selection of an inappropriate energy-saving mode, which causes damage to the production products and equipment, and reduces safety and production efficiency; the present invention provides a preferred embodiment: Figure 1-Figure 3 As shown, the autoclave operation energy-saving management method based on data analysis includes the following specific steps:

[0040] S1. Obtaining the operation data of the autoclave in various energy-saving modes and the production data of the produced products, and obtaining the energy consumption data in various energy-saving modes;

[0041] S2. Obtaining the autoclave operation data under various energy-saving modes and the production data of the produced products to perform production abnormality analysis;

[0042] S3, obtaining energy consumption data under various energy-saving modes and importing them into energy-saving evaluation strategies for energy-saving evaluation analysis;

[0043] S4. Comprehensively analyze the production abnormality analysis results and energy-saving evaluation analysis results obtained under various energy-saving modes;

[0044] S5. Select the optimal energy-saving mode for production based on the comprehensive analysis results.

[0045] In a preferred embodiment, the specific steps of S1 are:

[0046] S11, acquiring the autoclave operation data corresponding to various energy-saving modes through sensors, including real-time operation current information, voltage information, pressure data and temperature data of the autoclave operation data, and storing them in a first storage component;

[0047] The autoclave is a key industrial equipment used in the production of building materials and other high temperature and high pressure processes. To ensure the safe operation of the autoclave and improve production efficiency, real-time monitoring of its operating parameters is essential. The following is an overview of the analysis of autoclave operating data:

[0048] 1. Current information:

[0049] The current data can reflect the operating status of the autoclave heating system. By real-time monitoring and analysis of the current, the heating efficiency and energy consumption can be evaluated.

[0050] Unusual current fluctuations may indicate an electrical problem or uneven loading, which requires prompt repair and adjustment.

[0051] 2. Voltage information:

[0052] The stability of voltage data is directly related to the electrical safety of the equipment. Any abnormal voltage fluctuations need to be immediately identified and repaired.

[0053] Unstable voltage may cause equipment damage or reduce production efficiency.

[0054] 3. Pressure data:

[0055] The main function of the autoclave is to promote the chemical reaction of materials under controlled pressure. Therefore, real-time monitoring of pressure data is essential to ensure the normal process flow.

[0056] Pressure outside the design range may mean a safety hazard and require emergency attention.

[0057] 4. Temperature data:

[0058] Temperature is a key parameter that reflects the heating and curing effect of materials. Real-time monitoring of temperature changes helps optimize process parameters and ensure product quality.

[0059] Unusual temperature fluctuations may indicate uneven heat distribution within the kettle or an equipment malfunction.

[0060] Comprehensive analysis of these data can evaluate the operating status of the autoclave. For example, through real-time data analysis, the following problems can be discovered and solved in a timely manner:

[0061] Problems with inefficient heating or excessive energy consumption;

[0062] Electrical system failures, such as aging wires, poor contact, or damaged equipment;

[0063] The pressure and temperature exceed the designed safety range, posing a potential safety hazard;

[0064] Uneven heating and curing of materials affects product quality and output;

[0065] In order to achieve this goal, it is usually necessary to use a data acquisition system (such as PLC or industrial PC) to collect the operating data of the autoclave in real time, and analyze and process it through professional monitoring software. In addition, it can also be combined with fault diagnosis algorithms to predict and diagnose potential faults to further ensure the safe and stable operation of the autoclave;

[0066] S12, obtaining production data of the products produced in various energy-saving modes, wherein the production data includes strength data of each point on the surface of the product after production and the distance between each point on the surface and the center point of the product, and storing the data in the second storage component;

[0067] S13. Collect energy consumption data in various energy-saving modes through the energy consumption collection terminal, and store the data in a third storage component.

[0068] In a preferred embodiment, S2 includes the following specific steps:

[0069] S21, obtaining the operation data of the autoclave in various energy-saving modes and the production data of the produced products;

[0070] S22, importing the autoclave operation data in various energy-saving modes into the operation judgment value calculation formula to calculate the operation judgment value, wherein the operation judgment value calculation formula in the i-th energy-saving mode is: , where Ni is the number of types of operating data, T is the test time, aij is the proportion coefficient of the jth operating data in the i-th energy-saving mode, cijt is the specific value of the jth operating data in the i-th energy-saving mode at time t, cijm is the median value of the safety range of the jth operating data in the i-th energy-saving mode, dt is the time integral, cijmax is the maximum value of the safety range of the jth operating data in the i-th energy-saving mode, and cijmin is the minimum value of the safety range of the jth operating data in the i-th energy-saving mode;

[0071] S23, importing the strength data of each point on the surface of the product after production and the distance between each point on the surface and the center point of the product into the production product strength abnormal value calculation formula to calculate the production product strength abnormal value, wherein the production product strength abnormal value calculation formula in the i-th energy-saving mode is: , where Zi is the number of strength monitoring points of the produced product, Lz is the distance between the zth point on the surface in the i-th energy-saving mode and the center point of the product, fzi is the strength value of the zth monitoring point on the surface in the i-th energy-saving mode, and fm is the strength standard value required for production;

[0072] S24, obtaining the calculated operation judgment value and production product intensity abnormal value under the energy-saving mode, and importing them into the production abnormality analysis coefficient calculation formula to calculate the production abnormality analysis coefficient, wherein the production abnormality analysis coefficient calculation formula under the i-th energy-saving mode is: , where c is the operating judgment value ratio;

[0073] In a preferred embodiment, S3 includes the following specific steps:

[0074] Obtain energy consumption data under various energy-saving modes and time data for producing the same number of products, calculate the overall energy consumption data for producing the same number of products, and import the overall energy consumption data under various energy-saving modes into the energy consumption evaluation value calculation formula to calculate the energy consumption evaluation value. The energy consumption evaluation value calculation formula under the i-th energy-saving mode is: , where Wi is the overall energy consumption in the i-th energy-saving mode, and n is the number of energy-saving modes.

[0075] In a preferred embodiment, S4 includes the following specific contents:

[0076] Obtain the calculated production abnormality analysis coefficient under the i-th energy-saving mode and the energy consumption evaluation value under the i-th energy-saving mode, substitute the calculated production abnormality analysis coefficient under the i-th energy-saving mode and the energy consumption evaluation value under the i-th energy-saving mode into the selection evaluation value calculation formula to calculate the selection evaluation value, wherein the selection evaluation value calculation formula under the i-th energy-saving mode is: ;

[0077] In a preferred embodiment, the specific content of S5 is:

[0078] Obtain the calculated selection evaluation values ​​of all energy-saving modes, arrange the selection evaluation values ​​of all energy-saving modes in ascending order, and select the energy-saving mode corresponding to the smallest selection evaluation value for autoclave operation and production.

[0079] It should be noted that in this embodiment, the value-taking method of the proportion coefficient of the jth operating data under the cth i-th energy-saving mode and the proportion coefficient of the operation judgment value is: obtain at least 5000 sets of autoclave operation data under various energy-saving modes and production data of the production products produced, and obtain energy consumption data under various energy-saving modes, and at the same time hire 50 experts in this field to select the optimal production energy-saving mode, and substitute the autoclave operation data under various energy-saving modes, the production data of the production products produced, and the energy consumption data under various energy-saving modes into the selection evaluation value calculation formula to calculate the selection evaluation value, substitute the calculated selection evaluation value and the judgment result of selecting the optimal production energy-saving mode into the fitting software, and output the value of the proportion coefficient of the jth operating data under the cth i-th energy-saving mode that meets the highest judgment accuracy and the operation judgment value proportion coefficient.

[0080] It should be noted in the present embodiment that the advantages of the present embodiment over the prior art are as follows: obtaining the autoclave operation data under various energy-saving modes and the production data of the produced products, and obtaining the energy consumption data under various energy-saving modes at the same time, obtaining the autoclave operation data under various energy-saving modes and the production data of the produced products for production abnormality analysis, obtaining the energy consumption data under various energy-saving modes and importing them into the energy-saving evaluation strategy for energy-saving evaluation analysis, comprehensively analyzing the production abnormality analysis results and energy-saving evaluation analysis results obtained under various energy-saving modes, selecting the optimal energy-saving mode for production according to the comprehensive analysis results, selecting the most suitable energy-saving mode based on the comprehensive product production quality, equipment damage and energy-saving and energy consumption, accurately selecting and managing the energy-saving mode, avoiding damage to the production products and equipment caused by selecting an inappropriate energy-saving mode, and having high safety and production efficiency.

[0081] Example 2. Figure 4 As shown, the autoclave operation energy-saving management system based on data analysis is implemented based on the above-mentioned autoclave operation energy-saving management method based on data analysis, and specifically includes a data acquisition module, a production abnormality analysis module, an energy-saving evaluation analysis module, a comprehensive analysis module, an energy-saving mode selection module and a control module, wherein the data acquisition module is used to obtain the autoclave operation data under various energy-saving modes and the production data of the production products obtained by production, and at the same time obtain the energy consumption data under various energy-saving modes, the production abnormality analysis module is used to obtain the autoclave operation data under various energy-saving modes and the production data of the production products obtained by production for production abnormality analysis, the energy-saving evaluation analysis module is used to obtain the energy consumption data under various energy-saving modes and import them into the energy-saving evaluation strategy for energy-saving evaluation analysis, the comprehensive analysis module is used to comprehensively analyze the production abnormality analysis results and energy-saving evaluation analysis results obtained under various energy-saving modes, the energy-saving mode selection module is used to select the optimal energy-saving mode for production according to the comprehensive analysis results, and the control module is used to control the operation of the data acquisition module, the production abnormality analysis module, the energy-saving evaluation analysis module, the comprehensive analysis module and the energy-saving mode selection module.

[0082] Embodiment 3. This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0083] The processor executes the above-mentioned autoclave operation energy-saving management method based on data analysis by calling the computer program stored in the memory.

[0084] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement the autoclave operation energy-saving management method based on data analysis provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0085] Embodiment 4. This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0086] When the computer program is executed on a computer device, the computer device is enabled to execute the above-mentioned autoclave operation energy-saving management method based on data analysis.

[0087] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0088] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

Claims

1. An autoclave operation energy-saving management method based on data analysis, characterized in that: It includes the following specific steps: Obtaining autoclave operation data under various energy-saving modes and production data of the produced products, and obtaining energy consumption data under various energy-saving modes; Obtain the autoclave operation data under various energy-saving modes and the production data of the produced products to conduct production anomaly analysis; Obtain energy consumption data under various energy-saving modes and import them into energy-saving assessment strategies for energy-saving assessment analysis; Comprehensively analyze the production abnormality analysis results and energy-saving evaluation analysis results obtained under various energy-saving modes; Select the best energy-saving mode for production based on comprehensive analysis results; The acquisition of autoclave operation data in various energy-saving modes and production data of the produced products for production abnormality analysis comprises the following specific steps: S21, obtaining the operation data of the autoclave in various energy-saving modes and the production data of the produced products; S22, importing the autoclave operation data in various energy-saving modes into the operation judgment value calculation formula to calculate the operation judgment value, wherein the operation judgment value calculation formula in the i-th energy-saving mode is: , where Ni is the number of types of operating data, T is the test time, aij is the proportion coefficient of the jth operating data in the i-th energy-saving mode, cijt is the specific value of the jth operating data in the i-th energy-saving mode at time t, cijm is the median value of the safety range of the jth operating data in the i-th energy-saving mode, dt is the time integral, cijmax is the maximum value of the safety range of the jth operating data in the i-th energy-saving mode, and cijmin is the minimum value of the safety range of the jth operating data in the i-th energy-saving mode; S23, importing the strength data of each point on the surface of the product after production and the distance between each point on the surface and the center point of the product into the production product strength abnormal value calculation formula to calculate the production product strength abnormal value, wherein the production product strength abnormal value calculation formula in the i-th energy-saving mode is: , where Zi is the number of strength monitoring points of the produced product, Lz is the distance between the zth point on the surface in the i-th energy-saving mode and the center point of the product, fzi is the strength value of the zth monitoring point on the surface in the i-th energy-saving mode, and fm is the strength standard value required for production; The acquisition of autoclave operation data in various energy-saving modes and production data of the produced products for production abnormality analysis also includes the following specific steps: S24, obtaining the calculated operation judgment value and production product intensity abnormal value under the energy-saving mode, and importing them into the production abnormality analysis coefficient calculation formula to calculate the production abnormality analysis coefficient, wherein the production abnormality analysis coefficient calculation formula under the i-th energy-saving mode is: , where c is the operating judgment value ratio; The method of obtaining energy consumption data in various energy-saving modes and importing it into the energy-saving evaluation strategy for energy-saving evaluation analysis includes the following specific steps: Obtain energy consumption data under various energy-saving modes and time data for producing the same number of products, calculate the overall energy consumption data for producing the same number of products, and import the overall energy consumption data under various energy-saving modes into the energy consumption evaluation value calculation formula to calculate the energy consumption evaluation value. The energy consumption evaluation value calculation formula under the i-th energy-saving mode is: , where Wi is the overall energy consumption in the i-th energy-saving mode, and n is the number of energy-saving modes; The comprehensive analysis of the production abnormality analysis results and energy-saving evaluation analysis results obtained under various energy-saving modes includes the following specific contents: Obtain the calculated production abnormality analysis coefficient under the i-th energy-saving mode and the energy consumption evaluation value under the i-th energy-saving mode, substitute the calculated production abnormality analysis coefficient under the i-th energy-saving mode and the energy consumption evaluation value under the i-th energy-saving mode into the selection evaluation value calculation formula to calculate the selection evaluation value, wherein the selection evaluation value calculation formula under the i-th energy-saving mode is: .

2. The autoclave operation energy-saving management method based on data analysis according to claim 1, characterized in that: The specific contents of selecting the optimal energy-saving mode for production according to the comprehensive analysis results are as follows: Obtain the calculated selection evaluation values ​​of all energy-saving modes, arrange the selection evaluation values ​​of all energy-saving modes in ascending order, and select the energy-saving mode corresponding to the smallest selection evaluation value for autoclave operation and production.

3. The autoclave operation energy-saving management method based on data analysis according to claim 2, characterized in that: The specific steps of obtaining the autoclave operation data under various energy-saving modes and the production data of the produced products, and obtaining the energy consumption data under various energy-saving modes are: S11, acquiring the autoclave operation data corresponding to various energy-saving modes through sensors, including real-time operation current information, voltage information, pressure data and temperature data of the autoclave operation data, and storing them in a first storage component; S12, obtaining production data of the products produced in various energy-saving modes, wherein the production data includes strength data of each point on the surface of the product after production and the distance between each point on the surface and the center point of the product, and storing the data in the second storage component; S13. Collect energy consumption data in various energy-saving modes through the energy consumption collection terminal, and store the data in a third storage component.

4. An autoclave operation energy-saving management system based on data analysis, which is implemented based on the autoclave operation energy-saving management method based on data analysis as claimed in any one of claims 1 to 3, characterized in that: It specifically includes a data acquisition module, a production abnormality analysis module, an energy-saving assessment analysis module, a comprehensive analysis module, an energy-saving mode selection module and a control module, wherein the data acquisition module is used to obtain the operation data of the autoclave under various energy-saving modes and the production data of the production products obtained by the production, and simultaneously obtain the energy consumption data under various energy-saving modes; the production abnormality analysis module is used to obtain the operation data of the autoclave under various energy-saving modes and the production data of the production products obtained by the production to perform production abnormality analysis; the energy-saving assessment analysis module is used to obtain the energy consumption data under various energy-saving modes and import them into the energy-saving assessment strategy to perform energy-saving assessment analysis; the comprehensive analysis module is used to perform comprehensive analysis on the production abnormality analysis results and energy-saving assessment analysis results obtained under various energy-saving modes; the energy-saving mode selection module is used to select the optimal energy-saving mode for production according to the comprehensive analysis results; and the control module is used to control the operation of the data acquisition module, the production abnormality analysis module, the energy-saving assessment analysis module, the comprehensive analysis module and the energy-saving mode selection module.

5. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the autoclave operation energy-saving management method based on data analysis as described in any one of claims 1 to 3 by calling the computer program stored in the memory.

6. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the autoclave operation energy-saving management method based on data analysis as described in any one of claims 1 to 3.

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