Industrial park energy monitoring optimization scheduling method and system based on data analysis

Abstract

The invention provides an industrial park energy monitoring optimization scheduling method and system based on data analysis. The method comprises the following steps: obtaining a production equipment energy consumption database, processing production plan data to obtain total energy demand data, and comparing the total energy demand data with total energy supply plan data to obtain an energy supply state, processing according to the operation reference data and the product supply and demand data to obtain an operation demand state of the production equipment and to-be-operated production equipment, then calculating to obtain updated energy demand total data and comparing to obtain an updated energy supply state, and finally calculating according to the operation reference data to obtain a priority guarantee index of the to-be-operated production equipment. The priority guarantee indexes are sequenced and processed to obtain priority energy supply production equipment; therefore, the industrial park energy optimization scheduling technology is realized through the calculation of the total energy demand data, the updating of the total energy demand data, the priority guarantee index and the energy demand data and the comparison in the process.

Description

Technical Field

[0001] The present application relates to the field of energy monitoring, and more specifically, to an industrial park energy monitoring optimization and scheduling method and system based on data analysis. Background Art

[0002] With the acceleration of industrialization and the rapid development of industrial parks, the energy consumption of industrial parks is increasing. The traditional energy management model often relies on manual experience and is relatively extensive. It lacks accurate analysis and effective use of energy data, making it difficult to achieve efficient allocation and reasonable scheduling of energy, resulting in low energy utilization efficiency. In addition, the insufficient optimization of energy supply may even affect the production and operation of production enterprises in the park, increasing the operating costs of enterprises. How to effectively manage and optimize energy use has become an urgent problem to be solved.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of this application is to provide an industrial park energy monitoring and optimization scheduling method and system based on data analysis, and to realize the technology of industrial park energy optimization scheduling through the calculation of total energy demand data, updating of total energy demand data, priority guarantee index and energy demand data and comparison in the process.

[0005] The present application also provides an industrial park energy monitoring and optimization scheduling method based on data analysis, comprising the following steps: Obtain the total energy supply plan data of the industrial park, the production equipment energy consumption database and the production plan data; The total energy demand data is obtained by processing the production equipment energy consumption database in combination with the production plan data, and the total energy demand data is compared with the total energy supply plan data to obtain the energy supply status; According to the energy supply status, the operation reference data and product supply and demand data corresponding to each production equipment are obtained, the product demand status is obtained according to the product supply and demand data, and the operation demand status of the corresponding production equipment is obtained through the product demand status; Obtain the corresponding production equipment to be operated according to the operation demand status, calculate and obtain the updated total energy demand data of the production equipment to be operated, compare the updated total energy demand data with the total energy supply plan data, and obtain the updated energy supply status; After determining the updated energy supply status, the priority guarantee index of the production equipment to be operated is calculated according to the operation reference data; The priority guarantee indexes are sorted and the energy demand data of each production equipment to be operated is calculated respectively, and the priority energy supply production equipment is obtained according to the energy demand data and the total data of the energy supply plan and the corresponding energy scheduling is carried out.

[0006] Optionally, in the method for optimizing and scheduling energy monitoring in an industrial park based on data analysis described in the present application, the acquisition of the total energy supply plan data, the production equipment energy consumption database and the production plan data of the industrial park specifically includes: Obtain the energy consumption database of production equipment in the industrial park, including the production product model data corresponding to each type of production equipment, the production product model order of magnitude, and the average energy consumption per unit product corresponding to each production product model order of magnitude; Obtain the production plan data of the industrial park, including production product model data and the corresponding planned production quantity.

[0007] Optionally, in the method for optimizing and scheduling energy monitoring in an industrial park based on data analysis described in the present application, the total energy demand data is obtained according to the energy consumption database of the production equipment combined with the production plan data, and the total energy demand data is compared with the total energy supply plan data to obtain the energy supply status, specifically including: According to the production product model data and the corresponding planned production quantity, the production equipment energy consumption database is queried to obtain the planned unit product average energy consumption data; The total energy demand data is calculated based on the planned production quantity and the planned average energy consumption per unit product; Comparing the total energy demand data with the total energy supply plan data to obtain energy supply status, including energy sufficient status or energy insufficient status; If the total energy demand data is greater than the total energy supply plan data, the energy supply state is an energy shortage state; If the total energy demand data is less than or equal to the total energy supply plan data, the energy supply status is an energy sufficient status.

[0008] Optionally, in the method for optimizing and scheduling energy monitoring in an industrial park based on data analysis described in the present application, obtaining operation reference data and product supply and demand data corresponding to each production equipment according to the energy supply status, obtaining product demand status according to product supply and demand data processing, and obtaining the operation demand status of the corresponding production equipment through the product demand status specifically includes: If the energy supply status is an energy shortage status, then obtaining operation reference data and product supply and demand data corresponding to each production equipment; The operation reference data includes importance coefficient and downtime cost data, and the product supply and demand data includes product demand quantity and product inventory quantity; Comparing the product inventory quantity with the product demand quantity to obtain a product demand status, including a product demand satisfaction status or a product demand non-satisfaction status; If the product demand state is an unsatisfied product demand state, then the operation demand state of the production equipment corresponding to the product is a required operation state; If the product demand status is a product demand-satisfied status, then the operation demand status of the production equipment corresponding to the product is a status where the operation can be suspended.

[0009] Optionally, in the method for optimizing and scheduling energy monitoring in an industrial park based on data analysis described in the present application, obtaining the corresponding production equipment to be operated according to the operation demand state, calculating and obtaining the updated total energy demand data of the production equipment to be operated, and comparing the updated total energy demand data with the total energy supply plan data to obtain the updated energy supply state specifically includes: The production equipment is classified according to the operation demand status and the production equipment to be operated corresponding to the unsatisfied product demand status is obtained; Mark the planned production quantity and the planned average energy consumption per unit product corresponding to the production equipment to be operated as the quantity to be produced and the average energy consumption per unit product to be produced respectively; Calculate the updated total energy demand data of the production equipment to be operated based on the quantity to be produced and the average energy consumption data of the unit products to be produced; The updated total energy demand data is compared with the total energy supply plan data to obtain an updated energy supply status, including satisfied supply or unsatisfied supply.

[0010] Optionally, in the method for optimizing and scheduling energy monitoring in an industrial park based on data analysis described in the present application, after determining the updated energy supply status, the priority guarantee index of the production equipment to be operated is calculated based on the operation reference data, specifically including: Determine the updated energy supply state, and if the updated energy supply state is sufficient, start the production equipment to be operated; If the updated energy supply status is unsatisfied supply, the importance coefficient and downtime cost data are input into a preset production equipment priority protection evaluation model for processing to obtain a priority protection index corresponding to the production equipment to be operated.

[0011] Optionally, in the method for optimizing and dispatching energy monitoring in an industrial park based on data analysis described in the present application, the priority guarantee index is sorted and the energy demand data of each production equipment to be operated is calculated and obtained respectively, and the priority energy supply production equipment is obtained according to the energy demand data and the total data of the energy supply plan and the corresponding energy dispatch is performed, specifically including: Sorting the priority protection indexes in descending order to obtain a sequential priority protection index; According to the priority guarantee index, the energy demand data of the corresponding production equipment to be operated is calculated based on the quantity to be produced and the average energy consumption data of the unit products to be produced; Obtaining priority energy supply production equipment according to the energy demand data combined with the total data of the energy supply plan; The priority energy supply production equipment is sent to the energy scheduling display and energy scheduling is performed.

[0012] In a second aspect, the present application provides an industrial park energy monitoring optimization scheduling system based on data analysis, the system comprising: a memory and a processor, the memory storing a program of an industrial park energy monitoring optimization scheduling method based on data analysis, and the program of the industrial park energy monitoring optimization scheduling method based on data analysis is executed by the processor to implement the following steps: Obtain the total energy supply plan data of the industrial park, the production equipment energy consumption database and the production plan data; The total energy demand data is obtained by processing the production equipment energy consumption database in combination with the production plan data, and the total energy demand data is compared with the total energy supply plan data to obtain the energy supply status; According to the energy supply status, the operation reference data and product supply and demand data corresponding to each production equipment are obtained, the product demand status is obtained according to the product supply and demand data, and the operation demand status of the corresponding production equipment is obtained through the product demand status; Obtain the corresponding production equipment to be operated according to the operation demand status, calculate and obtain the updated total energy demand data of the production equipment to be operated, compare the updated total energy demand data with the total energy supply plan data, and obtain the updated energy supply status; After determining the updated energy supply status, the priority guarantee index of the production equipment to be operated is calculated according to the operation reference data; The priority guarantee indexes are sorted and the energy demand data of each production equipment to be operated is calculated respectively, and the priority energy supply production equipment is obtained according to the energy demand data and the total data of the energy supply plan and the corresponding energy scheduling is carried out.

[0013] Optionally, in the industrial park energy monitoring optimization and scheduling system based on data analysis described in the present application, the acquisition of the total energy supply plan data of the industrial park, the production equipment energy consumption database and the production plan data specifically includes: Obtain the energy consumption database of production equipment in the industrial park, including the production product model data corresponding to each type of production equipment, the production product model order of magnitude, and the average energy consumption per unit product corresponding to each production product model order of magnitude; Obtain the production plan data of the industrial park, including production product model data and the corresponding planned production quantity.

[0014] Optionally, in the industrial park energy monitoring optimization and scheduling system based on data analysis described in the present application, the total energy demand data is obtained according to the production equipment energy consumption database combined with the production plan data processing, and the total energy demand data is compared with the total energy supply plan data to obtain the energy supply status, specifically including: According to the production product model data and the corresponding planned production quantity, the production equipment energy consumption database is queried to obtain the planned unit product average energy consumption data; The total energy demand data is calculated based on the planned production quantity and the planned average energy consumption per unit product; Comparing the total energy demand data with the total energy supply plan data to obtain energy supply status, including energy sufficient status or energy insufficient status; If the total energy demand data is greater than the total energy supply plan data, the energy supply state is an energy shortage state; If the total energy demand data is less than or equal to the total energy supply plan data, the energy supply status is an energy sufficient status.

[0015] As can be seen from the above, the energy monitoring optimization and scheduling method and system for industrial parks based on data analysis provided by the present application. The method obtains the total energy demand data by obtaining the production equipment energy consumption database and the production plan data and then processes it, and then compares the total energy demand data with the total energy supply plan data to obtain the energy supply status, and then obtains the operation demand status of the production equipment and the production equipment to be operated according to the operation reference data and the product supply and demand data, and then calculates and obtains the updated total energy demand data and compares it to obtain the updated energy supply status, and finally calculates and obtains the priority guarantee index of the production equipment to be operated according to the operation reference data, and sorts and processes the priority guarantee index to obtain the priority energy supply production equipment; thus, the technology of energy optimization scheduling of industrial parks is realized through the calculation and comparison of the total energy demand data, the updated total energy demand data, the priority guarantee index and the energy demand data.

[0016] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the present application. The purpose and other advantages of the present application can be realized and obtained by the structures particularly pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flowchart of an industrial park energy monitoring and optimization scheduling method based on data analysis provided in an embodiment of the present application; Figure 2 A flowchart of obtaining total energy supply plan data, a production equipment energy consumption database, and production plan data for an industrial park energy monitoring and optimization scheduling method based on data analysis provided in an embodiment of the present application; Figure 3 A flow chart of obtaining energy supply status of an industrial park energy monitoring and optimization scheduling method based on data analysis provided in an embodiment of the present application; Figure 4 A flowchart of obtaining the operating demand status of the industrial park energy monitoring and optimization scheduling method based on data analysis provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0020] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1The following is a flow chart of an industrial park energy monitoring optimization scheduling method based on data analysis in some embodiments of the present application. The industrial park energy monitoring optimization scheduling method based on data analysis is used in terminal devices, such as computers, mobile phones, etc. The industrial park energy monitoring optimization scheduling method based on data analysis includes the following steps: S11. Obtain the total energy supply plan data of the industrial park, the production equipment energy consumption database and the production plan data; S12, obtaining total energy demand data according to the production equipment energy consumption database combined with the production plan data, comparing the total energy demand data with the total energy supply plan data to obtain energy supply status; S13, obtaining operation reference data and product supply and demand data corresponding to each production equipment according to the energy supply status, obtaining product demand status according to product supply and demand data processing, and obtaining operation demand status of corresponding production equipment through product demand status; S14, obtaining the corresponding production equipment to be operated according to the operation demand status, calculating and obtaining the total updated energy demand data of the production equipment to be operated, comparing the total updated energy demand data with the total energy supply plan data, and obtaining the updated energy supply status; S15, after determining the updated energy supply status, calculating and obtaining the priority guarantee index of the production equipment to be operated according to the operation reference data; S16. Sort the priority security indexes and calculate the energy demand data of each production equipment to be operated respectively, obtain the priority energy supply production equipment according to the energy demand data and the total data of the energy supply plan, and perform corresponding energy scheduling.

[0022] It should be noted that during the operation of the industrial park, energy use is sometimes restricted. In order to ensure the stable operation of the park while maximizing the interests of the park's enterprises, reasonable planning and energy monitoring and scheduling are required. After obtaining the total data of the energy supply plan, the total amount of available energy can be understood, which is convenient for planning. After obtaining the production equipment energy consumption database and production plan data, the energy demand for production in the park can be better understood. According to the production plan data, the total energy demand data can be obtained by querying the production equipment energy consumption database. After comparing the total energy demand data with the total energy supply plan data, the energy supply status can be obtained to determine whether the total energy supply plan data can meet the needs of the park; if the energy supply can meet the needs of the park, all production can be started normally. If the energy supply cannot meet the needs of the park, the corresponding operation reference data and product supply and demand data of each production equipment are obtained. According to the data, the product demand status can be obtained by comparing the product supply and demand data, and the operation demand of the corresponding production equipment can be determined through the product demand status. According to the operation demand status, the production equipment to be operated, that is, which equipment needs to be operated, can be determined. The updated total energy demand data of the equipment to be operated is calculated according to the production plan data and the production equipment energy consumption database, and then the updated total energy demand data is compared with the total energy supply plan data to obtain the updated energy supply status, and it is judged whether the total energy supply plan data can meet the updated total energy demand data. If not, the priority guarantee index of the production equipment to be operated is calculated according to the operation reference data, and then the priority guarantee index is sorted, and the energy demand data of each production equipment to be operated is calculated separately, and the energy demand data and the total energy supply plan data are combined with the order of the priority guarantee index to obtain the priority energy supply production equipment, and the corresponding energy scheduling is carried out accordingly.

[0023] Please refer to Figure 2 , Figure 2 The present invention provides a flowchart of obtaining the total energy supply plan data, the production equipment energy consumption database and the production plan data of the industrial park energy monitoring optimization scheduling method based on data analysis provided in the embodiment of the present application. According to the embodiment of the present invention, the obtaining of the total energy supply plan data, the production equipment energy consumption database and the production plan data of the industrial park specifically includes: S21. Obtain the energy consumption database of production equipment in the industrial park, including the production product model data corresponding to each type of production equipment, the production product model order of magnitude, and the average energy consumption per unit product corresponding to each production product model order of magnitude; S22. Obtain production plan data of the industrial park, including production product model data and corresponding planned production quantity.

[0024] It should be noted that the total data of the industrial park's energy supply plan refers to the total amount of energy planned to be supplied by the industrial park. The production equipment energy consumption database is obtained based on the analysis of the historical operation of the industrial park. It can reflect the production equipment model, the product model produced by the production equipment, and the average energy consumption per unit product corresponding to different orders of magnitude of each model of product. In actual production, the same production equipment can be adjusted to produce different models of products as needed. The production of different models of products has different energy consumption due to different processes or parameters, so different models of products will correspond to different energy consumption. In order to ensure the accuracy of energy consumption, it is necessary to conduct accurate statistics based on the continuous production order. Even for the same model of products, different production quantities may lead to different energy consumption. The specific influencing factors include startup energy consumption, continuous production rhythm settings, and changes in continuous working energy consumption. Therefore, the average energy consumption per unit product corresponding to different production orders is also different; the production plan data is the production plan arranged by the production enterprise after comprehensively considering its own situation, including the production product model data corresponding to each production equipment and the planned production quantity of the corresponding product model.

[0025] Please refer to Figure 3 , Figure 3 It is a flowchart of obtaining the energy supply status of the industrial park energy monitoring optimization scheduling method based on data analysis provided by the embodiment of the present application. According to the embodiment of the present invention, the total energy demand data is obtained according to the production equipment energy consumption database combined with the production plan data processing, and the total energy demand data is compared with the total energy supply plan data to obtain the energy supply status, which specifically includes: S31, querying the production equipment energy consumption database according to the production product model data and the corresponding planned production quantity to obtain the planned unit product average energy consumption data; S32. Calculate the total energy demand data based on the planned production quantity and the planned average energy consumption per unit product; S33, comparing the total energy demand data with the total energy supply plan data to obtain energy supply status, including energy sufficient status or energy insufficient status; S34. If the total energy demand data is greater than the total energy supply plan data, the energy supply state is an energy shortage state; S35. If the total energy demand data is less than or equal to the total energy supply plan data, the energy supply status is an energy sufficient status.

[0026] It should be noted that by querying the production equipment energy consumption database based on the model data of the product and the corresponding planned production quantity, the average energy consumption data per unit product in the production plan can be determined, recorded as the planned average energy consumption data per unit product, and then the total energy demand data can be obtained. The calculation formula for the total energy demand data is: ; in, is the total energy demand data, is the planned production quantity corresponding to the i-th production product model, is the planned average energy consumption per unit product corresponding to the planned production quantity in the i-th product model, n is the number of production equipment, The characteristic coefficient is preset (the characteristic coefficient is obtained by querying the preset industrial park energy monitoring optimization and scheduling platform based on data analysis); The total energy demand data is compared with the total energy supply plan data to obtain the energy supply status.

[0027] Please refer to Figure 4 , Figure 4 It is a flowchart of obtaining the operation demand state of the industrial park energy monitoring optimization scheduling method based on data analysis provided by the embodiment of the present application. According to the embodiment of the present invention, the operation reference data and product supply and demand data corresponding to each production equipment are obtained according to the energy supply state, the product demand state is obtained according to the product supply and demand data processing, and the operation demand state of the corresponding production equipment is obtained through the product demand state, specifically including: S41. If the energy supply status is an energy shortage status, obtaining operation reference data and product supply and demand data corresponding to each production equipment; S42, the operation reference data includes importance coefficient and downtime cost data, and the product supply and demand data includes product demand quantity and product inventory quantity; S43, comparing the product inventory quantity with the product demand quantity to obtain a product demand status, including a product demand satisfaction status or a product demand non-satisfaction status; S44. If the product demand state is an unsatisfied product demand state, the operation demand state of the production equipment corresponding to the product is an operation-required state; S45. If the product demand status is a product demand-satisfied status, the operation demand status of the production equipment corresponding to the product is a state where the operation can be suspended.

[0028] It should be noted that if the energy supply status is sufficient, it means that the total energy supply plan data can meet the operation needs of the industrial park, and all production equipment can be started as planned; if the energy supply status is insufficient, it is necessary to distinguish the production equipment and start part of it, and it is necessary to obtain the corresponding operation reference data and product supply and demand data of each production equipment. The importance coefficient reflects to a certain extent the importance of the product produced by the production equipment or the influence of the operation status of the equipment on the entire production line. It can be defined according to the user. In this embodiment, the industrial park is a complete machine assembly. If the production equipment produces If the product can be replenished later, the importance coefficient is low. If it is a key component or cannot be replenished later, the importance coefficient is high. The downtime cost data refers to the cost data caused by a shutdown of the production equipment. Some equipment requires 24-hour uninterrupted shutdown or is not allowed to shut down for a certain period of time when there are production tasks. The shutdown will bring corresponding losses. Compare the product inventory quantity and product demand quantity. If the product inventory quantity is greater than or equal to the product demand quantity, the product demand status is the satisfied product demand status; if the product inventory quantity is less than the product demand quantity, the product demand status is the unmet product demand status.

[0029] According to an embodiment of the present invention, obtaining the corresponding production equipment to be operated according to the operation demand state, calculating and obtaining the updated total energy demand data of the production equipment to be operated, and comparing the updated total energy demand data with the total energy supply plan data to obtain the updated energy supply state specifically includes: The production equipment is classified according to the operation demand status and the production equipment to be operated corresponding to the unsatisfied product demand status is obtained; Mark the planned production quantity and the planned average energy consumption per unit product corresponding to the production equipment to be operated as the quantity to be produced and the average energy consumption per unit product to be produced respectively; Calculate the updated total energy demand data of the production equipment to be operated based on the quantity to be produced and the average energy consumption data of the unit products to be produced; The updated total energy demand data is compared with the total energy supply plan data to obtain an updated energy supply status, including satisfied supply or unsatisfied supply.

[0030] It should be noted that the production equipment is classified according to the operation demand status. If the product demand status is not met, it means that production is needed to meet the product demand. The corresponding equipment is marked as production equipment to be operated. The planned production quantity and the planned unit product average energy consumption data are multiplied to obtain the energy consumption data of a single product. The energy consumption data of each product model are added to obtain the updated total energy demand data of the production equipment to be operated. The updated total energy demand data is then compared with the total energy supply plan data. If the total energy supply plan data is greater than or equal to the total new energy demand data, the updated energy supply status is satisfied. If the total energy supply plan data is less than the total new energy demand data, the updated energy supply status is unsatisfied supply, and the production equipment to be operated cannot be started according to the production plan.

[0031] According to an embodiment of the present invention, after determining the updated energy supply status, calculating and obtaining the priority guarantee index of the production equipment to be operated according to the operation reference data specifically includes: Determine the updated energy supply state, and if the updated energy supply state is sufficient, start the production equipment to be operated; If the updated energy supply status is unsatisfied supply, the importance coefficient and downtime cost data are input into a preset production equipment priority protection evaluation model for processing to obtain a priority protection index corresponding to the production equipment to be operated.

[0032] It should be noted that if the updated energy supply status is satisfied, the production equipment to be operated can be started according to the production plan; if the updated energy supply status is unsatisfied, the priority protection index corresponding to the production equipment to be operated is obtained according to the importance coefficient and the downtime cost data input into the preset production equipment priority protection evaluation model, and the priority protection index refers to the data reflecting the priority protection degree. The larger the priority protection index, the more priority protection is needed. The calculation formula of the priority protection index in the production equipment priority protection evaluation model is: ; in, To prioritize the index, is the importance coefficient, is the downtime cost data, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial park energy monitoring and optimization scheduling platform based on data analysis).

[0033] According to an embodiment of the present invention, the priority guarantee indexes are sorted and the energy demand data of each production equipment to be operated is calculated respectively, and the priority energy supply production equipment is obtained according to the energy demand data and the total data of the energy supply plan and the corresponding energy scheduling is performed, specifically including: Sorting the priority protection indexes in descending order to obtain a sequential priority protection index; According to the priority guarantee index, the energy demand data of the corresponding production equipment to be operated is calculated based on the quantity to be produced and the average energy consumption data of the unit products to be produced; Obtaining priority energy supply production equipment according to the energy demand data combined with the total data of the energy supply plan; The priority energy supply production equipment is sent to the energy scheduling display and energy scheduling is performed.

[0034] It should be noted that after sorting the priority protection indexes in descending order, the priority protection order of the production equipment can be obtained accordingly, and the energy demand data corresponding to each production equipment can be obtained by multiplying the corresponding quantity to be produced and the average energy consumption data of the unit product to be produced. The energy demand data are added one by one in the order of the priority protection index to obtain the real-time total energy demand of the production equipment, until it is closest to the total data of the energy supply plan and is less than the total data of the energy supply plan, thereby determining the corresponding priority energy supply production equipment, and then sending the priority energy supply production equipment to the energy scheduling display for display and energy scheduling.

[0035] It is worth mentioning that it also includes: Obtain standard input power data, standard output power data, real-time input power data and real-time output power data of production equipment; Processing the standard input power data, the standard output power data, the real-time input power data and the real-time output power data to obtain a power conversion relative index; Comparing the power conversion relative index with a preset power conversion relative index threshold, and obtaining a power output state of the production equipment, including a normal state or an abnormal state; Wherein, if the power conversion relative index is less than a preset power conversion relative index threshold, the power output state is an abnormal state; If the power conversion relative index is greater than or equal to the preset power conversion relative index threshold, the power output state is normal; The calculation formula of the power conversion relative index is: ; in, is the power conversion relative index, , , , They are standard input power data, standard output power data, real-time input power data and real-time output power data. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial park energy monitoring and optimization scheduling platform based on data analysis).

[0036] It should be noted that the input power and output power of production equipment are generally relatively fixed. If an abnormality occurs, it means that there are certain problems with the equipment and attention needs to be paid. Therefore, the power output status of the production equipment can be calculated based on the standard input power data, standard output power data, real-time input power data and real-time output power data. The power conversion relative index threshold can be set according to the actual situation of the production equipment. In this embodiment, the power conversion relative index threshold is set to: (0, 0.85), abnormal state; [0.85, 1], normal state.

[0037] Also includes: Counting the power output status within a preset time period according to a preset fixed time period to obtain the number of abnormal states; Compare the number of abnormal states with a preset comprehensive operation state evaluation threshold to obtain a comprehensive operation state of the production equipment; Extracting a first threshold and a second threshold according to a preset comprehensive operating status evaluation threshold, wherein the first threshold is greater than the second threshold; Comparing the number of abnormal states with the first threshold and the second threshold; If the number of abnormal states is greater than the first threshold, the comprehensive operation state is a serious abnormal operation state; If the number of abnormal states is greater than the second threshold and less than or equal to the first threshold, the comprehensive operation state is an abnormal operation state; If the number of abnormal states is less than or equal to the second threshold, the comprehensive operating state is a normal operating state; The production equipment is processed according to the comprehensive operation status, the serious abnormal operation status corresponds to shutdown for maintenance, the abnormal operation status corresponds to maintenance warning, and the normal operation status corresponds to continuing the current status.

[0038] It should be noted that one or two occasional abnormalities cannot directly indicate that there is a problem with the device. Therefore, it is necessary to count the number of abnormalities that occur within a preset time period. The preset time period can be set by the user according to the actual situation of the device. In this embodiment, the fixed time period is 5 minutes, and the preset time period is 1 hour. After the number of abnormal states is obtained, the threshold is compared to obtain the comprehensive operation status. In this embodiment, the comprehensive operation status evaluation threshold is set to: [0, 1], which is a normal operation state; (1, 3], which is an abnormal operation state; when it is greater than 3, it is a serious abnormal operation state; when the number of abnormal states is 1, the comprehensive operation state is a normal operation state.

[0039] The present invention also discloses an industrial park energy monitoring optimization scheduling system based on data analysis, including a memory and a processor, wherein the memory stores an industrial park energy monitoring optimization scheduling method program based on data analysis, and when the industrial park energy monitoring optimization scheduling method program based on data analysis is executed by the processor, the following steps are implemented: Obtain the total energy supply plan data of the industrial park, the production equipment energy consumption database and the production plan data; The total energy demand data is obtained by processing the production equipment energy consumption database in combination with the production plan data, and the total energy demand data is compared with the total energy supply plan data to obtain the energy supply status; According to the energy supply status, the operation reference data and product supply and demand data corresponding to each production equipment are obtained, the product demand status is obtained according to the product supply and demand data, and the operation demand status of the corresponding production equipment is obtained through the product demand status; Obtain the corresponding production equipment to be operated according to the operation demand status, calculate and obtain the updated total energy demand data of the production equipment to be operated, compare the updated total energy demand data with the total energy supply plan data, and obtain the updated energy supply status; After determining the updated energy supply status, the priority guarantee index of the production equipment to be operated is calculated according to the operation reference data; The priority guarantee indexes are sorted and the energy demand data of each production equipment to be operated is calculated respectively, and the priority energy supply production equipment is obtained according to the energy demand data and the total data of the energy supply plan and the corresponding energy scheduling is carried out.

[0040] It should be noted that during the operation of the industrial park, energy use is sometimes restricted. In order to ensure the stable operation of the park while maximizing the interests of the park's enterprises, reasonable planning and energy monitoring and scheduling are required. After obtaining the total data of the energy supply plan, the total amount of available energy can be understood, which is convenient for planning. After obtaining the production equipment energy consumption database and production plan data, the energy demand for production in the park can be better understood. According to the production plan data, the total energy demand data can be obtained by querying the production equipment energy consumption database. After comparing the total energy demand data with the total energy supply plan data, the energy supply status can be obtained to determine whether the total energy supply plan data can meet the needs of the park; if the energy supply can meet the needs of the park, all production can be started normally. If the energy supply cannot meet the needs of the park, the corresponding operation reference data and product supply and demand data of each production equipment are obtained. According to the data, the product demand status can be obtained by comparing the product supply and demand data, and the operation demand of the corresponding production equipment can be determined through the product demand status. According to the operation demand status, the production equipment to be operated, that is, which equipment needs to be operated, can be determined. The updated total energy demand data of the equipment to be operated is calculated according to the production plan data and the production equipment energy consumption database, and then the updated total energy demand data is compared with the total energy supply plan data to obtain the updated energy supply status, and it is judged whether the total energy supply plan data can meet the updated total energy demand data. If not, the priority guarantee index of the production equipment to be operated is calculated according to the operation reference data, and then the priority guarantee index is sorted, and the energy demand data of each production equipment to be operated is calculated separately, and the energy demand data and the total energy supply plan data are combined with the order of the priority guarantee index to obtain the priority energy supply production equipment, and the corresponding energy scheduling is carried out accordingly.

[0041] According to an embodiment of the present invention, the acquisition of the total energy supply plan data of the industrial park, the production equipment energy consumption database and the production plan data specifically includes: Obtain the energy consumption database of production equipment in the industrial park, including the production product model data corresponding to each type of production equipment, the production product model order of magnitude, and the average energy consumption per unit product corresponding to each production product model order of magnitude; Obtain the production plan data of the industrial park, including production product model data and the corresponding planned production quantity.

[0042] It should be noted that the total data of the industrial park's energy supply plan refers to the total amount of energy planned to be supplied by the industrial park. The production equipment energy consumption database is obtained based on the analysis of the historical operation of the industrial park. It can reflect the production equipment model, the product model produced by the production equipment, and the average energy consumption per unit product corresponding to different orders of magnitude of each model of product. In actual production, the same production equipment can be adjusted to produce different models of products as needed. The production of different models of products has different energy consumption due to different processes or parameters, so different models of products will correspond to different energy consumption. In order to ensure the accuracy of energy consumption, it is necessary to conduct accurate statistics based on the continuous production order. Even for the same model of products, different production quantities may lead to different energy consumption. The specific influencing factors include startup energy consumption, continuous production rhythm settings, and changes in continuous working energy consumption. Therefore, the average energy consumption per unit product corresponding to different production orders is also different; the production plan data is the production plan arranged by the production enterprise after comprehensively considering its own situation, including the production product model data corresponding to each production equipment and the planned production quantity of the corresponding product model.

[0043] According to an embodiment of the present invention, the total energy demand data is obtained by processing the production equipment energy consumption database in combination with the production plan data, and the total energy demand data is compared with the total energy supply plan data to obtain the energy supply status, specifically including: According to the production product model data and the corresponding planned production quantity, the production equipment energy consumption database is queried to obtain the planned unit product average energy consumption data; The total energy demand data is calculated based on the planned production quantity and the planned average energy consumption per unit product; Comparing the total energy demand data with the total energy supply plan data to obtain energy supply status, including energy sufficient status or energy insufficient status; If the total energy demand data is greater than the total energy supply plan data, the energy supply state is an energy shortage state; If the total energy demand data is less than or equal to the total energy supply plan data, the energy supply status is an energy sufficient status.

[0044] It should be noted that by querying the production equipment energy consumption database based on the model data of the product and the corresponding planned production quantity, the average energy consumption data per unit product in the production plan can be determined, recorded as the planned average energy consumption data per unit product, and then the total energy demand data can be obtained. The calculation formula for the total energy demand data is: ; in, is the total energy demand data, is the planned production quantity corresponding to the i-th production product model, is the planned average energy consumption per unit product corresponding to the planned production quantity in the i-th product model, n is the number of production equipment, The characteristic coefficient is preset (the characteristic coefficient is obtained by querying the preset industrial park energy monitoring optimization and scheduling platform based on data analysis); The total energy demand data is compared with the total energy supply plan data to obtain the energy supply status.

[0045] According to an embodiment of the present invention, obtaining the operation reference data and product supply and demand data corresponding to each production equipment according to the energy supply status, obtaining the product demand status according to the product supply and demand data processing, and obtaining the operation demand status of the corresponding production equipment through the product demand status specifically includes: If the energy supply status is an energy shortage status, then obtaining operation reference data and product supply and demand data corresponding to each production equipment; The operation reference data includes importance coefficient and downtime cost data, and the product supply and demand data includes product demand quantity and product inventory quantity; Comparing the product inventory quantity with the product demand quantity to obtain a product demand status, including a product demand satisfaction status or a product demand non-satisfaction status; If the product demand state is an unsatisfied product demand state, then the operation demand state of the production equipment corresponding to the product is a required operation state; If the product demand status is a product demand-satisfied status, then the operation demand status of the production equipment corresponding to the product is a status where the operation can be suspended.

[0046] It should be noted that if the energy supply status is sufficient, it means that the total energy supply plan data can meet the operation needs of the industrial park, and all production equipment can be started as planned; if the energy supply status is insufficient, it is necessary to distinguish the production equipment and start part of it, and it is necessary to obtain the corresponding operation reference data and product supply and demand data of each production equipment. The importance coefficient reflects to a certain extent the importance of the product produced by the production equipment or the influence of the operation status of the equipment on the entire production line. It can be defined according to the user. In this embodiment, the industrial park is a complete machine assembly. If the production equipment produces If the product can be replenished later, the importance coefficient is low. If it is a key component or cannot be replenished later, the importance coefficient is high. The downtime cost data refers to the cost data caused by a shutdown of the production equipment. Some equipment requires 24-hour uninterrupted shutdown or is not allowed to shut down for a certain period of time when there are production tasks. The shutdown will bring corresponding losses. Compare the product inventory quantity and product demand quantity. If the product inventory quantity is greater than or equal to the product demand quantity, the product demand status is the satisfied product demand status; if the product inventory quantity is less than the product demand quantity, the product demand status is the unmet product demand status.

[0047] According to an embodiment of the present invention, obtaining the corresponding production equipment to be operated according to the operation demand state, calculating and obtaining the updated total energy demand data of the production equipment to be operated, and comparing the updated total energy demand data with the total energy supply plan data to obtain the updated energy supply state specifically includes: The production equipment is classified according to the operation demand status and the production equipment to be operated corresponding to the unsatisfied product demand status is obtained; Mark the planned production quantity and the planned average energy consumption per unit product corresponding to the production equipment to be operated as the quantity to be produced and the average energy consumption per unit product to be produced respectively; Calculate the updated total energy demand data of the production equipment to be operated based on the quantity to be produced and the average energy consumption data of the unit products to be produced; The updated energy demand total data is compared with the energy supply plan total data to obtain an updated energy supply status, including satisfied supply or unsatisfied supply.

[0048] It should be noted that the production equipment is classified according to the operation demand status. If the product demand status is not met, it means that production is needed to meet the product demand. The corresponding equipment is marked as production equipment to be operated. The planned production quantity and the planned unit product average energy consumption data are multiplied to obtain the energy consumption data of a single product. The energy consumption data of each product model are added to obtain the updated total energy demand data of the production equipment to be operated. The updated total energy demand data is then compared with the total energy supply plan data. If the total energy supply plan data is greater than or equal to the total new energy demand data, the updated energy supply status is satisfied. If the total energy supply plan data is less than the total new energy demand data, the updated energy supply status is unsatisfied supply, and the production equipment to be operated cannot be started according to the production plan.

[0049] According to an embodiment of the present invention, after determining the updated energy supply status, calculating and obtaining the priority guarantee index of the production equipment to be operated according to the operation reference data specifically includes: Determine the updated energy supply state, and if the updated energy supply state is sufficient, start the production equipment to be operated; If the updated energy supply status is unsatisfied supply, the importance coefficient and downtime cost data are input into a preset production equipment priority protection evaluation model for processing to obtain a priority protection index corresponding to the production equipment to be operated.

[0050] It should be noted that if the updated energy supply status is satisfied, the production equipment to be operated can be started according to the production plan; if the updated energy supply status is unsatisfied, the priority protection index corresponding to the production equipment to be operated is obtained according to the importance coefficient and the downtime cost data input into the preset production equipment priority protection evaluation model, and the priority protection index refers to the data reflecting the priority protection degree. The larger the priority protection index, the more priority protection is needed. The calculation formula of the priority protection index in the production equipment priority protection evaluation model is: ; in, To prioritize the index, is the importance coefficient, is the downtime cost data, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial park energy monitoring and optimization scheduling platform based on data analysis).

[0051] According to an embodiment of the present invention, the priority guarantee indexes are sorted and the energy demand data of each production equipment to be operated is calculated respectively, and the priority energy supply production equipment is obtained according to the energy demand data and the total data of the energy supply plan and the corresponding energy scheduling is performed, specifically including: Sorting the priority protection indexes in descending order to obtain a sequential priority protection index; According to the priority guarantee index, the energy demand data of the corresponding production equipment to be operated is calculated based on the quantity to be produced and the average energy consumption data of the unit products to be produced; Obtaining priority energy supply production equipment according to the energy demand data combined with the total data of the energy supply plan; The priority energy supply production equipment is sent to the energy scheduling display and energy scheduling is performed.

[0052] It should be noted that after sorting the priority protection indexes in descending order, the priority protection order of the production equipment can be obtained accordingly, and the energy demand data corresponding to each production equipment can be obtained by multiplying the corresponding quantity to be produced and the average energy consumption data of the unit product to be produced. The energy demand data are added one by one in the order of the priority protection index to obtain the real-time total energy demand of the production equipment, until it is closest to the total data of the energy supply plan and is less than the total data of the energy supply plan, thereby determining the corresponding priority energy supply production equipment, and then sending the priority energy supply production equipment to the energy scheduling display for display and energy scheduling.

[0053] It is worth mentioning that it also includes: Obtain standard input power data, standard output power data, real-time input power data and real-time output power data of production equipment; Processing the standard input power data, the standard output power data, the real-time input power data and the real-time output power data to obtain a power conversion relative index; Comparing the power conversion relative index with a preset power conversion relative index threshold, and obtaining a power output state of the production equipment, including a normal state or an abnormal state; Wherein, if the power conversion relative index is less than a preset power conversion relative index threshold, the power output state is an abnormal state; If the power conversion relative index is greater than or equal to the preset power conversion relative index threshold, the power output state is normal; The calculation formula of the power conversion relative index is: ; in, is the power conversion relative index, , , , They are standard input power data, standard output power data, real-time input power data and real-time output power data. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial park energy monitoring and optimization scheduling platform based on data analysis).

[0054] It should be noted that the input power and output power of production equipment are generally relatively fixed. If an abnormality occurs, it means that there are certain problems with the equipment and attention needs to be paid. Therefore, the power output status of the production equipment can be calculated based on the standard input power data, standard output power data, real-time input power data and real-time output power data. The power conversion relative index threshold can be set according to the actual situation of the production equipment. In this embodiment, the power conversion relative index threshold is set to: (0, 0.85), abnormal state; [0.85, 1], normal state.

[0055] Also includes: Counting the power output status within a preset time period according to a preset fixed time period to obtain the number of abnormal states; Compare the number of abnormal states with a preset comprehensive operation state evaluation threshold to obtain a comprehensive operation state of the production equipment; Extracting a first threshold and a second threshold according to a preset comprehensive operating status evaluation threshold, wherein the first threshold is greater than the second threshold; Comparing the number of abnormal states with the first threshold and the second threshold; If the number of abnormal states is greater than the first threshold, the comprehensive operation state is a serious abnormal operation state; If the number of abnormal states is greater than the second threshold and less than or equal to the first threshold, the comprehensive operation state is an abnormal operation state; If the number of abnormal states is less than or equal to the second threshold, the comprehensive operating state is a normal operating state; The production equipment is processed according to the comprehensive operation status, the serious abnormal operation status corresponds to shutdown for maintenance, the abnormal operation status corresponds to maintenance warning, and the normal operation status corresponds to continuing the current status.

[0056] It should be noted that one or two occasional abnormalities cannot directly indicate that there is a problem with the device. Therefore, it is necessary to count the number of abnormalities that occur within a preset time period. The preset time period can be set by the user according to the actual situation of the device. In this embodiment, the fixed time period is 5 minutes, and the preset time period is 1 hour. After the number of abnormal states is obtained, the threshold is compared to obtain the comprehensive operation status. In this embodiment, the comprehensive operation status evaluation threshold is set to: [0, 1], which is a normal operation state; (1, 3], which is an abnormal operation state; when it is greater than 3, it is a serious abnormal operation state; when the number of abnormal states is 1, the comprehensive operation state is a normal operation state.

[0057] The present invention discloses an industrial park energy monitoring optimization and scheduling method and system based on data analysis, which obtains the total energy demand data by acquiring the energy consumption database of production equipment and post-processing the production plan data, compares the total energy demand data with the total energy supply plan data to obtain the energy supply status, obtains the operation demand status of the production equipment and the production equipment to be operated according to the operation reference data and product supply and demand data, then calculates and obtains the updated total energy demand data and compares them to obtain the updated energy supply status, finally calculates and obtains the priority guarantee index of the production equipment to be operated according to the operation reference data, sorts and post-processes the priority guarantee index to obtain the priority energy supply production equipment; thereby, the technology of energy optimization and scheduling of industrial parks is realized through the calculation of the total energy demand data, the updated total energy demand data, the priority guarantee index and the energy demand data and the comparison in the process.

[0058] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0059] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0060] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0061] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0062] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. The method for optimizing the energy monitoring and scheduling of industrial parks based on data analysis is characterized by: include: Obtain the total energy supply plan data of the industrial park, the production equipment energy consumption database and the production plan data; The total energy demand data is obtained by processing the production equipment energy consumption database in combination with the production plan data, and the total energy demand data is compared with the total energy supply plan data to obtain the energy supply status; According to the energy supply status, the operation reference data and product supply and demand data corresponding to each production equipment are obtained, the product demand status is obtained according to the product supply and demand data, and the operation demand status of the corresponding production equipment is obtained through the product demand status; Obtain the corresponding production equipment to be operated according to the operation demand status, calculate and obtain the updated total energy demand data of the production equipment to be operated, compare the updated total energy demand data with the total energy supply plan data, and obtain the updated energy supply status; After determining the updated energy supply status, the priority guarantee index of the production equipment to be operated is calculated according to the operation reference data; The priority guarantee indexes are sorted and the energy demand data of each production equipment to be operated is calculated respectively, and the priority energy supply production equipment is obtained according to the energy demand data and the total data of the energy supply plan and the corresponding energy scheduling is carried out.

2. The method for optimizing and dispatching energy in industrial parks based on data analysis according to claim 1 is characterized in that: The acquisition of the total energy supply plan data of the industrial park, the production equipment energy consumption database and the production plan data specifically includes: Obtain the energy consumption database of production equipment in the industrial park, including the production product model data corresponding to each type of production equipment, the production product model order of magnitude, and the average energy consumption per unit product corresponding to each production product model order of magnitude; Obtain the production plan data of the industrial park, including production product model data and the corresponding planned production quantity.

3. The method for optimizing and dispatching energy in industrial parks based on data analysis according to claim 2 is characterized in that: The process of obtaining total energy demand data based on the production equipment energy consumption database in combination with the production plan data, and comparing the total energy demand data with the total energy supply plan data to obtain the energy supply status specifically includes: According to the production product model data and the corresponding planned production quantity, the production equipment energy consumption database is queried to obtain the planned unit product average energy consumption data; The total energy demand data is calculated based on the planned production quantity and the planned average energy consumption per unit product; Comparing the total energy demand data with the total energy supply plan data to obtain energy supply status, including energy sufficient status or energy insufficient status; If the total energy demand data is greater than the total energy supply plan data, the energy supply state is an energy shortage state; If the total energy demand data is less than or equal to the total energy supply plan data, the energy supply status is an energy sufficient status.

4. The method for optimizing and dispatching energy in industrial parks based on data analysis according to claim 3 is characterized in that: The step of obtaining the operation reference data and product supply and demand data corresponding to each production equipment according to the energy supply status, obtaining the product demand status according to the product supply and demand data, and obtaining the operation demand status of the corresponding production equipment through the product demand status specifically includes: If the energy supply status is an energy shortage status, then obtaining operation reference data and product supply and demand data corresponding to each production equipment; The operation reference data includes importance coefficient and downtime cost data, and the product supply and demand data includes product demand quantity and product inventory quantity; Comparing the product inventory quantity with the product demand quantity to obtain a product demand status, including a product demand satisfaction status or a product demand non-satisfaction status; If the product demand state is an unsatisfied product demand state, then the operation demand state of the production equipment corresponding to the product is a required operation state; If the product demand status is a product demand-satisfied status, then the operation demand status of the production equipment corresponding to the product is a status where the operation can be suspended.

5. The method for optimizing and dispatching energy in industrial parks based on data analysis according to claim 4 is characterized in that: The step of obtaining the corresponding production equipment to be operated according to the operation demand state, calculating and obtaining the updated total energy demand data of the production equipment to be operated, and comparing the updated total energy demand data with the total energy supply plan data to obtain the updated energy supply state specifically includes: The production equipment is classified according to the operation demand status and the production equipment to be operated corresponding to the unsatisfied product demand status is obtained; Mark the planned production quantity and the planned average energy consumption per unit product corresponding to the production equipment to be operated as the quantity to be produced and the average energy consumption per unit product to be produced respectively; Calculate the updated total energy demand data of the production equipment to be operated based on the quantity to be produced and the average energy consumption data of the unit products to be produced; The updated total energy demand data is compared with the total energy supply plan data to obtain an updated energy supply status, including satisfied supply or unsatisfied supply.

6. The method for optimizing and dispatching energy in industrial parks based on data analysis according to claim 5 is characterized in that: After determining the updated energy supply status, calculating and obtaining the priority guarantee index of the production equipment to be operated according to the operation reference data specifically includes: Determine the updated energy supply state, and if the updated energy supply state is sufficient, start the production equipment to be operated; If the updated energy supply status is unsatisfied supply, the importance coefficient and downtime cost data are input into a preset production equipment priority protection evaluation model for processing to obtain a priority protection index corresponding to the production equipment to be operated.

7. The method for optimizing and dispatching energy in industrial parks based on data analysis according to claim 6 is characterized in that: The priority guarantee index is sorted and the energy demand data of each production equipment to be operated is calculated respectively, and the priority energy supply production equipment is obtained according to the energy demand data and the total data of the energy supply plan and the corresponding energy dispatch is performed, specifically including: Sorting the priority protection indexes in descending order to obtain a sequential priority protection index; According to the priority guarantee index, the energy demand data of the corresponding production equipment to be operated is calculated based on the quantity to be produced and the average energy consumption data of the unit products to be produced; Obtaining priority energy supply production equipment according to the energy demand data combined with the total data of the energy supply plan; The priority energy supply production equipment is sent to the energy scheduling display and energy scheduling is performed.

8. An industrial park energy monitoring and optimization scheduling system based on data analysis, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises an industrial park energy monitoring optimization scheduling method program based on data analysis, and the industrial park energy monitoring optimization scheduling method program based on data analysis is executed by the processor to implement the following steps: Obtain the total energy supply plan data of the industrial park, the production equipment energy consumption database and the production plan data; The total energy demand data is obtained by processing the production equipment energy consumption database in combination with the production plan data, and the total energy demand data is compared with the total energy supply plan data to obtain the energy supply status; According to the energy supply status, the operation reference data and product supply and demand data corresponding to each production equipment are obtained, the product demand status is obtained according to the product supply and demand data, and the operation demand status of the corresponding production equipment is obtained through the product demand status; Obtain the corresponding production equipment to be operated according to the operation demand status, calculate and obtain the updated total energy demand data of the production equipment to be operated, compare the updated total energy demand data with the total energy supply plan data, and obtain the updated energy supply status; After determining the updated energy supply status, the priority guarantee index of the production equipment to be operated is calculated according to the operation reference data; The priority guarantee indexes are sorted and the energy demand data of each production equipment to be operated is calculated respectively, and the priority energy supply production equipment is obtained according to the energy demand data and the total data of the energy supply plan and the corresponding energy scheduling is carried out.

9. The industrial park energy monitoring and optimization scheduling system based on data analysis according to claim 8 is characterized in that: The acquisition of the total energy supply plan data of the industrial park, the production equipment energy consumption database and the production plan data specifically includes: Obtain the energy consumption database of production equipment in the industrial park, including the production product model data corresponding to each type of production equipment, the production product model order of magnitude, and the average energy consumption per unit product corresponding to each production product model order of magnitude; Obtain the production plan data of the industrial park, including production product model data and the corresponding planned production quantity.

10. The industrial park energy monitoring and optimization scheduling system based on data analysis according to claim 9 is characterized in that: The process of obtaining total energy demand data based on the production equipment energy consumption database in combination with the production plan data, and comparing the total energy demand data with the total energy supply plan data to obtain the energy supply status specifically includes: According to the production product model data and the corresponding planned production quantity, the production equipment energy consumption database is queried to obtain the planned unit product average energy consumption data; The total energy demand data is calculated based on the planned production quantity and the planned average energy consumption per unit product; Comparing the total energy demand data with the total energy supply plan data to obtain energy supply status, including energy sufficient status or energy insufficient status; If the total energy demand data is greater than the total energy supply plan data, the energy supply state is an energy shortage state; If the total energy demand data is less than or equal to the total energy supply plan data, the energy supply status is an energy sufficient status.

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