Intelligent energy and equipment energy efficiency management system

Abstract

The present invention discloses an intelligent energy and equipment energy efficiency management system, and relates to the technical field of equipment energy efficiency management. The present invention includes a total monitoring module, a branch monitoring module, a terminal monitoring module, a time module, a processing unit and a collection terminal, the output ends of the total monitoring module, the branch monitoring module and the terminal monitoring module are all connected to the input end of the processing unit, the output ends of the total monitoring module, the branch monitoring module and the terminal monitoring module are all connected to the input end of the time module, the output end of the time module is connected to the input end of the processing unit, and the output end of the collection terminal is connected to the input end of the processing unit. The present invention classifies and calculates energy consumption indexes for different surface treatment processes, and can intuitively analyze the consumption of different resources by each device, and then combines the loss index of equipment resources in the transmission link and the running time of the equipment to comprehensively evaluate the energy utilization efficiency of the equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment energy efficiency management, and in particular to an intelligent energy and equipment energy efficiency management system. Background Art

[0002] As a key link in the manufacturing industry, the surface treatment industry covers the processing of products made of various materials such as metal, plastic, glass, ceramic, etc., aiming to improve the appearance, protective performance and functionality of products. Surface treatment processes include a variety of processes, such as metal electroplating, metal surface quenching, glass hot bending, plastic surface disinfection, plastic film lamination, plastic vacuum coating, metal micro-arc oxidation, metal anodizing, glass coating, plastic biting, metal sandblasting, metal wire drawing and plastic printing. Different treatment processes require the use of different resources, and the production park needs to provide corresponding power resources, water resources and steam resources;

[0003] However, traditional surface treatment processes have many serious problems in terms of energy consumption. The energy efficiency performance of equipment in different production processes varies. The lack of resource monitoring links cannot timely discover the energy waste nodes of equipment, and it is impossible to evaluate the operating efficiency of each device. Therefore, energy optimization of high-energy consumption surface treatment process equipment is a technical problem that technical personnel in this field need to solve. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides an intelligent energy and equipment energy efficiency management system, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above purpose, the present invention is implemented through the following technical solutions: an intelligent energy and equipment energy efficiency management system, including a general monitoring module, a branch monitoring module, a terminal monitoring module, a time module, a processing unit and a collection terminal, the output ends of the general monitoring module, the branch monitoring module and the terminal monitoring module are all connected to the input end of the processing unit, the output ends of the general monitoring module, the branch monitoring module and the terminal monitoring module are all connected to the input end of the time module, the output end of the time module is connected to the input end of the processing unit, and the output end of the collection terminal is connected to the input end of the processing unit;

[0006] The general monitoring module sequentially obtains the consumption information w1, e1, s1 of the water resources, electric power resources and steam resources of the park, the branch monitoring module sequentially obtains the consumption information w2, e2, s2 of the water resources, electric power resources and steam resources of each plant area in the park, and the terminal monitoring module sequentially obtains the consumption information w3, e3, s3 of the water resources, electric power resources and steam resources of each equipment in the plant area;

[0007] The hydraulic resource consumption information of the main monitoring module is w1, the electric resource consumption information is e1, and the steam resource consumption information is s1; the hydraulic resource consumption information of the branch monitoring module is w2, the electric resource consumption information is e2, and the steam resource consumption information is s2; the hydraulic resource consumption information of the terminal monitoring module is w3, the electric resource consumption information is e3, and the steam resource consumption information is s3;

[0008] The acquisition terminal acquires the production process of each device in the park, and the time module acquires the time information of the general monitoring module, each branch monitoring module and each terminal monitoring module. The time information includes the start node and stop node of the device connected to each module. The acquisition terminal transmits the acquired production process to the processing unit, and the time module transmits the acquired time information to the processing unit;

[0009] The processing unit classifies the production process, and the production process is divided into three levels: high energy consumption process, general energy consumption process and low energy consumption process. The processing unit calculates the corresponding equipment energy consumption index according to the production process level of each device, the number of process consumption resources N, consumption information w3, consumption information e3 and consumption information s3. The processing unit calculates the loss index k1 between the total monitoring module and the branch monitoring module at the start node, and calculates the loss index k2 between the branch monitoring module and the terminal monitoring module at the start node. The processing unit calculates the loss index k3 between the total monitoring module and the branch monitoring module at the stop node, and calculates the loss index k4 between the branch monitoring module and the terminal monitoring module at the stop node. The processing unit records the running time T of the device according to the start node and the stop node of each device;

[0010] The processing unit calculates the operation index R of the equipment according to the energy consumption index, loss index k1, loss index k2, loss index k3, loss index k4 and the operation time of the equipment, and outputs the optimization plan for each equipment according to the operation index R of the equipment.

[0011] Furthermore, the production processes are all surface treatment processes, among which high energy consumption processes include metal electroplating, metal surface quenching, glass hot bending, plastic surface disinfection, plastic film lamination and plastic vacuum coating, general energy consumption processes include metal micro-arc oxidation, metal anodizing, glass coating and plastic biting, and low energy consumption processes include metal sandblasting and shot peening, metal wire drawing and plastic printing;

[0012] The equipment energy consumption index is calculated as follows:

[0013] The processing unit obtains the production process of the equipment connected to the collection terminal from the collection terminal. The production processes that need to consume water resources are metal electroplating, metal surface quenching, glass hot bending, metal micro-arc oxidation, metal anodizing, glass coating, plastic biting, metal sandblasting and shot blasting, and plastic printing. All production processes need to consume electricity resources. The production processes that need to consume steam resources are metal surface quenching, glass hot bending, plastic surface disinfection, and plastic film lamination.

[0014] The number of resources N consumed by metal electroplating equipment is 2, the number of resources N consumed by metal surface quenching equipment is 3, the number of resources N consumed by glass hot bending equipment is 3, the number of resources N consumed by plastic surface disinfection equipment is 2, the number of resources N consumed by plastic film lamination equipment is 2, the number of resources N consumed by plastic vacuum coating equipment is 1, the number of resources N consumed by metal micro-arc oxidation equipment is 2, the number of resources N consumed by metal anodizing equipment is 2, the number of resources N consumed by glass coating equipment is 2, the number of resources N consumed by plastic biting equipment is 2, the number of resources N consumed by metal sandblasting and shot blasting equipment is 2, the number of resources N consumed by metal wire drawing equipment is 1, and the number of resources N consumed by plastic printing equipment is 2;

[0015] Processing units according to the formula Calculate the energy consumption index P of the equipment, where kw is the proportional coefficient of water resources, ke is the proportional coefficient of electric power resources, and ks is the proportional coefficient of steam resources. The specific value is determined according to the specific usage of water resources, electric power resources and steam resources in the production process. f1 is the scale coefficient of the production process. When the equipment involves a large production scale, f1 takes a larger value, and the energy consumption of the production process is lower. When the equipment involves a small production scale, f1 takes a smaller value, and the energy consumption of the production process is higher. The value range is 0.5-1.5. f2 is the new and old coefficient of the equipment, which is specifically the service life of the equipment. New equipment with a short service life has high efficiency and low energy consumption. Old equipment with a long service life has wear and tear and performance decline, resulting in increased energy consumption. The value range is 0.8-1.2. The value of the equipment just put into use is 0.8, and the value of the equipment nearing scrapping is 1.2.

[0016] Furthermore, the process of obtaining the loss index k1 is as follows:

[0017] When the device starts, the terminal monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the start node. The time module transmits the start node to the processing unit. The processing unit obtains the consumption information w3, consumption information e3 and consumption information s3 of the connected device at the start node from the terminal monitoring module.

[0018] The processing unit continuously obtains consumption information w2, consumption information e2 and consumption information s2 of the branch monitoring module after the startup node, and the processing unit establishes a first curve graph, the horizontal axis of the first curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption. The processing unit inputs the consumption information w2, the consumption information e2 and the consumption information s2 into the first curve graph to obtain the w2 startup curve, the e2 startup curve and the s2 startup curve respectively;

[0019] The processing unit calculates the difference Uw2 of the w2 start curve, marks the branch w delay node and calculates the time difference Δt1 between the start node and the time Uw2t, calculates the difference Ue2 of the e2 start curve, marks the branch e delay node and calculates the time difference Δt2 between the start node and the time Ue2t, calculates the difference Us2 of the s2 start curve, marks the branch s delay node and calculates the time difference Δt3 between the start node and the time Us2t;

[0020] Processing units according to the formula Calculate the loss index k1, Uw2 is the difference between the maximum and minimum values ​​of the rising interval of the w2 startup curve after the branch w delay node, Ue2 is the difference between the maximum and minimum values ​​of the rising interval of the e2 startup curve after the branch e delay node, Us2 is the difference between the maximum and minimum values ​​of the rising interval of the s2 startup curve after the branch s delay node, N is the number of resources consumed by the equipment process, blo is the compensation value to prevent the Δt2 value from being too small to affect the accuracy of K1;

[0021] The process of obtaining the loss index k2 is as follows:

[0022] When the equipment connected to any branch module is started, the branch monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the start node. The time module transmits the start node to the processing unit. The processing unit obtains the consumption information w2, consumption information e2 and consumption information s2 of the connected plant area at the start node from the branch monitoring module;

[0023] The processing unit continuously obtains the consumption information w1, consumption information e1 and consumption information s1 of the total monitoring module after the startup node, and the processing unit establishes a second curve graph, the horizontal axis of the second curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption. The processing unit inputs the consumption information w1, the consumption information e1 and the consumption information s1 into the second curve graph to obtain the w1 startup curve, the e1 startup curve and the s1 startup curve respectively;

[0024] The processing unit calculates the difference Uw1 of the w1 startup curve, marks the total w delay node and calculates the time difference Δt4 between the startup node and the time Uw1t, calculates the difference Ue1 of the e1 startup curve, marks the total e delay node and calculates the time difference Δt5 between the startup node and the time Ue1t, calculates the difference Us1 of the s1 startup curve, marks the total s delay node and calculates the time difference Δt6 between the startup node and the time Us1t;

[0025] Processing units according to the formula Calculate the loss index k2, Uw1 is the difference between the maximum and minimum values ​​of the rising interval of the w1 startup curve after the total w delay node, Ue1 is the difference between the maximum and minimum values ​​of the rising interval of the e1 startup curve after the total e delay node, Us1 is the difference between the maximum and minimum values ​​of the rising interval of the s1 startup curve after the total s delay node, N is the number of resources consumed by the equipment process, blo is the compensation value to prevent the Δt5 value from being too small to affect the accuracy of K2.

[0026] Furthermore, the calculation process of the differences Uw2, Ue2 and Us2 is as follows:

[0027] The processing unit records the difference Uw2 between the maximum and minimum values ​​of each rising interval of the w2 startup curve. The processing unit compares the difference Uw2 with the consumption information w3 in chronological order. When Uw2>w3, the processing unit extracts the corresponding minimum value of the rising interval in the w2 startup curve. The time module obtains the time Uw2t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Uw2t as the delay node of the branch w. The processing unit calculates the time difference Δt1 between the startup node and the time Uw2t.

[0028] The processing unit records the difference Ue2 between the maximum and minimum values ​​of each rising interval of the e2 start curve, and compares the difference Ue2 with the consumption information e3 in chronological order. When Ue2>e3, the processing unit extracts the corresponding minimum value of the rising interval in the e2 start curve, and the time module obtains the time Ue2t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Ue2t as the delay node of the branch e, and the processing unit calculates the time difference Δt2 between the start node and the time Ue2t;

[0029] The processing unit records the difference Us2 between the maximum and minimum values ​​of each rising interval of the s2 startup curve, and compares the difference Us2 with the consumption information s3 in chronological order. When Us2>s3, the processing unit extracts the corresponding minimum value of the rising interval in the s2 startup curve, and the time module obtains the time Us2t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Us2t as the delay node of branch s, and calculates the time difference Δt3 between the startup node and the time Us2t.

[0030] Furthermore, the calculation process of the differences Uw1, Ue1 and Us1 is as follows:

[0031] The processing unit records the difference Uw1 between the maximum and minimum values ​​of each rising interval of the w1 startup curve. The processing unit compares the difference Uw1 with the consumption information w2 in chronological order. When Uw1>w2, the processing unit extracts the corresponding minimum value of the rising interval in the w1 startup curve. The time module obtains the time Uw1t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Uw1t as the total w delay node. The processing unit calculates the time difference Δt4 between the startup node and the time Uw1t.

[0032] The processing unit records the difference Ue1 between the maximum and minimum values ​​of each rising interval of the e1 startup curve. The processing unit compares the difference Ue1 with the consumption information e2 in chronological order. When Ue1>e2, the processing unit extracts the corresponding minimum value of the rising interval in the e1 startup curve. The time module obtains the time Ue1t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Ue1t as the total e delay node. The processing unit calculates the time difference Δt5 between the startup node and the time Ue1t.

[0033] The processing unit records the difference Us1 between the maximum and minimum values ​​of each rising interval of the s1 startup curve, and compares the difference Us1 with the consumption information s2 in chronological order. When Us1>s2, the processing unit extracts the corresponding minimum value of the rising interval in the s1 startup curve, and the time module obtains the time Us1t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Us1t as the total s delay node, and calculates the time difference Δt6 between the startup node and the time Us1t.

[0034] Furthermore, the process of obtaining the loss index k3 is as follows:

[0035] When the device stops, the terminal monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the stop node. The time module transmits the stop node to the processing unit. The processing unit obtains the consumption information w3, consumption information e3 and consumption information s3 of the connected device at the stop node from the terminal monitoring module.

[0036] The processing unit continuously obtains the consumption information w2, consumption information e2 and consumption information s2 of the branch monitoring module after the stop node, and the processing unit establishes a third curve graph, the horizontal axis of the third curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption, and the processing unit inputs the consumption information w2, the consumption information e2 and the consumption information s2 into the third curve graph to obtain the w2 stop curve, the e2 stop curve and the s2 stop curve respectively;

[0037] The processing unit calculates the difference Dw2 of the stop curve of w2, marks the postponed node of branch w and calculates the time difference Δt7 between the stop node and the time Dw2t, calculates the difference De2 of the stop curve of e2, marks the postponed node of branch e and calculates the time difference Δt8 between the stop node and the time De2t, calculates the difference Ds2 of the stop curve of s2, marks the postponed node of branch s and calculates the time difference Δt9 between the stop node and the time Ds2t;

[0038] Processing units according to the formula Calculate the loss index k3, Dw2 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of w2 after the branch w postpones the node, De2 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of e2 after the branch e postpones the node, Ds2 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of s2 after the branch s postpones the node, N is the number of resources consumed by the equipment process, blo is the compensation value to prevent the Δt8 value from being too small to affect the accuracy of K3;

[0039] The process of obtaining the loss index k4 is as follows:

[0040] When the equipment connected to any branch module stops, the branch monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the stop node. The time module transmits the stop node to the processing unit. The processing unit obtains the consumption information w2, consumption information e2 and consumption information s2 of the connected plant area at the stop node from the branch monitoring module.

[0041] The processing unit continuously obtains the consumption information w1, consumption information e1 and consumption information s1 of the total monitoring module after the stop node, and the processing unit establishes a fourth curve graph, the horizontal axis of the fourth curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption, and the processing unit inputs the consumption information w1, the consumption information e1 and the consumption information s1 into the fourth curve graph to obtain the w1 stop curve, the e1 stop curve and the s1 stop curve respectively;

[0042] The processing unit calculates the difference Dw1 of the w1 stop curve, marks the total w postponed nodes and calculates the time difference Δt10 between the stop node and the time Dw1t, calculates the difference De1 of the e1 stop curve, marks the total e postponed nodes and calculates the time difference Δt11 between the stop node and the time De1t, calculates the difference Ds1 of the s1 stop curve, marks the total s postponed nodes and calculates the time difference Δt12 between the stop node and the time Ds1t;

[0043] Processing units according to the formula Calculate the loss index k4, Dw1 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of w1 after the branch w postpones the node, De1 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of e1 after the branch e postpones the node, Ds1 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of s1 after the branch s postpones the node, N is the number of resources consumed by the equipment process, blo is the compensation value to prevent the Δt11 value from being too small to affect the accuracy of K4.

[0044] Furthermore, the calculation process of the differences Dw2, De2 and Ds2 is as follows:

[0045] The processing unit records the difference Dw2 between the maximum and minimum values ​​of each descending interval of the w2 stop curve. The processing unit compares the difference Dw2 with the consumption information w3 in chronological order. When Dw2>w3, the processing unit extracts the corresponding maximum value of the descending interval in the w2 stop curve. The time module obtains the time Dw2t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Dw2t as the postponed node of the branch w. The processing unit calculates the time difference Δt7 between the stop node and the time Dw2t.

[0046] The processing unit records the difference De2 between the maximum and minimum values ​​of each descending interval of the e2 stop curve. The processing unit compares the difference De2 with the consumption information e3 in chronological order. When De2>e3, the processing unit extracts the corresponding maximum value of the descending interval in the e2 stop curve. The time module obtains the time De2t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time De2t as the postponed node of the branch e. ​​The processing unit calculates the time difference Δt8 between the stop node and the time De2t.

[0047] The processing unit records the difference Ds2 between the maximum and minimum values ​​of each descending interval of the s2 stop curve, and compares the difference Ds2 with the consumption information s3 in chronological order. When Ds2>s3, the processing unit extracts the corresponding maximum value of the descending interval in the s2 stop curve, and the time module obtains the time Ds2t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Ds2t as the postponed node of branch s, and calculates the time difference Δt9 between the stop node and the time Ds2t.

[0048] Furthermore, the calculation process of the differences Dw1, De1 and Ds1 is as follows:

[0049] The processing unit records the difference Dw1 between the maximum and minimum values ​​of each descending interval of the w1 stop curve. The processing unit compares the difference Dw1 with the consumption information w2 in chronological order. When Dw1>w2, the processing unit extracts the corresponding maximum value of the descending interval in the w1 stop curve. The time module obtains the time Dw1t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Dw1t as the total w postponed node. The processing unit calculates the time difference Δt10 between the stop node and the time Dw1t.

[0050] The processing unit records the difference De1 between the maximum and minimum values ​​of each descending interval of the e1 stop curve. The processing unit compares the difference De1 with the consumption information e2 in chronological order. When De1>e2, the processing unit extracts the corresponding maximum value of the descending interval in the e1 stop curve. The time module obtains the time De1t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time De1t as the total e postponement node. The processing unit calculates the time difference Δt11 between the stop node and the time De1t.

[0051] The processing unit records the difference Ds1 between the maximum and minimum values ​​of each descending interval of the s1 stop curve, and compares the difference Ds1 with the consumption information s2 in chronological order. When Ds1>s2, the processing unit extracts the corresponding maximum value of the descending interval in the s1 stop curve, and the time module obtains the time Ds1t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Ds1t as the total s postponed node, and calculates the time difference Δt12 between the stop node and the time Ds1t.

[0052] Furthermore, the process of obtaining the running time T is as follows:

[0053] The time module obtains the start node and stop node of the device connected to the terminal monitoring module and transmits them to the processing unit, and the processing unit records the duration t1 from the start node to the stop node of the terminal monitoring module. The time module obtains the start node and stop node of the corresponding device connected to the branch monitoring module and transmits them to the processing unit, and the processing unit records the duration t2 from the start node to the stop node of the branch monitoring module. The time module obtains the start node and stop node of the corresponding device connected to the main monitoring module and transmits them to the processing unit, and the processing unit records the duration t3 from the start node to the stop node of the main monitoring module.

[0054] Processing units according to the formula Calculate the operating time T of the corresponding equipment, q1, q2 and q3 are proportional coefficients, and satisfy the condition q1+q2+q3=1. Determine the specific value based on the transmission length of the hydraulic resources, power resources and steam resources of each equipment in each plant area in the park.

[0055] Furthermore, the calculation process of the running index R is as follows:

[0056] Processing units according to the formula Calculate the operation index R of the equipment, k1 is the loss index of the terminal monitoring module and the branch monitoring module at the start node, k2 is the loss index of the branch monitoring module and the main monitoring module at the start node, k3 is the loss index of the terminal monitoring module and the branch monitoring module at the stop node, k4 is the loss index of the branch monitoring module and the main monitoring module at the stop node, P is the energy consumption index of the equipment, and T is the operation time T of the equipment;

[0057] The optimization scheme is as follows:

[0058] The processing unit presets a settlement cycle of seven days. The processing unit recalculates the operation index R of each device in each settlement cycle, arranges all devices in descending order according to the operation index R to obtain an optimization sequence, and the processing unit calculates and marks the first third of the optimization sequence as high-quality devices, the last third of the optimization sequence as poor devices, and the remaining devices in the optimization sequence as general devices;

[0059] The park will reduce or exempt service fees for the water resources, electricity resources and steam resources of high-quality equipment, and increase service fees for the water resources, electricity resources and steam resources of inferior equipment. The extent of reduction or exemption and the extent of increase will be determined based on the scale of equipment production in the park. Increasing service fees can help manufacturers eliminate equipment with high energy consumption and low production efficiency, while reducing or exempting service fees can encourage manufacturers to purchase new energy-efficient equipment and put it into production.

[0060] The present invention has the following beneficial effects:

[0061] 1. By classifying and calculating the energy consumption index of different surface treatment processes, the consumption of different resources by each device can be intuitively analyzed. Combined with the loss index of equipment resources in the transportation link and the operating time of the equipment, the energy utilization efficiency of a device can be comprehensively evaluated, thereby outputting targeted optimization solutions.

[0062] 2. By calculating the loss indexes k1, k2, k3 and k4, the energy loss of the equipment at the start-up and stop nodes can be accurately calculated. In particular, the power resources and steam resources will inevitably produce large losses during the transportation process, ensuring the accuracy of the energy efficiency calculation of the surface treatment equipment.

[0063] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0065] Figure 1 A system block diagram of the intelligent energy and equipment energy efficiency management of the present invention;

[0066] Figure 2 It is a schematic diagram of analyzing the energy consumption index P of the equipment of the present invention;

[0067] Figure 3 It is a schematic diagram of the analysis of the equipment operation index R and the optimization scheme of the present invention. DETAILED DESCRIPTION

[0068] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] See also Figure 1-3 , the present invention provides a technical solution: intelligent energy and equipment energy efficiency management system, such as Figure 1As shown, it includes a total monitoring module, a branch monitoring module, a terminal monitoring module, a time module, a processing unit and a collection terminal, the output ends of the total monitoring module, the branch monitoring module and the terminal monitoring module are all connected to the input end of the processing unit, the output ends of the total monitoring module, the branch monitoring module and the terminal monitoring module are all connected to the input end of the time module, the output end of the time module is connected to the input end of the processing unit, and the output end of the collection terminal is connected to the input end of the processing unit;

[0070] The general monitoring module obtains the consumption information w1, e1, s1 of the park's water resources, power resources and steam resources in turn, the branch monitoring module obtains the consumption information w2, e2, s2 of each plant area in the park's water resources, power resources and steam resources in turn, and the terminal monitoring module obtains the consumption information w3, e3, s3 of each device in the plant area's water resources, power resources and steam resources in turn;

[0071] The hydraulic resource consumption information of the main monitoring module is w1, the electric resource consumption information is e1, and the steam resource consumption information is s1; the hydraulic resource consumption information of the branch monitoring module is w2, the electric resource consumption information is e2, and the steam resource consumption information is s2; the hydraulic resource consumption information of the terminal monitoring module is w3, the electric resource consumption information is e3, and the steam resource consumption information is s3;

[0072] The acquisition terminal obtains the production process of each device in the park, and the time module obtains the time information of the general monitoring module, each branch monitoring module and each terminal monitoring module. The time information includes the start node and stop node of the device connected to each module. The acquisition terminal transmits the obtained production process to the processing unit, and the time module transmits the obtained time information to the processing unit;

[0073] like Figure 2-3 As shown, the processing unit classifies the production process, and the production process is divided into three levels: high energy consumption process, general energy consumption process and low energy consumption process. The processing unit calculates the corresponding equipment energy consumption index according to the production process level of each device, the number of process consumption resources N, consumption information w3, consumption information e3 and consumption information s3. The processing unit calculates the loss index k1 between the total monitoring module and the branch monitoring module at the start node, calculates the loss index k2 between the branch monitoring module and the terminal monitoring module at the start node, calculates the loss index k3 between the total monitoring module and the branch monitoring module at the stop node, calculates the loss index k4 between the branch monitoring module and the terminal monitoring module at the stop node, and the processing unit records the running time T of the equipment according to the start node and the stop node of each equipment;

[0074] The processing unit calculates the operation index R of the equipment according to the energy consumption index, loss index k1, loss index k2, loss index k3, loss index k4 and the operation time of the equipment, and outputs the optimization plan for each equipment according to the operation index R of the equipment.

[0075] Among them, Figure 2 As shown in the figure, the production processes are all surface treatment processes, among which high energy consumption processes include metal electroplating, metal surface quenching, glass hot bending, plastic surface disinfection, plastic film lamination and plastic vacuum coating, general energy consumption processes include metal micro-arc oxidation, metal anodizing, glass coating and plastic biting, and low energy consumption processes include metal sandblasting and shot peening, metal wire drawing and plastic printing;

[0076] The equipment energy consumption index is calculated as follows:

[0077] The processing unit obtains the production process of the equipment connected to the collection terminal from the collection terminal. The production processes that need to consume water resources are metal electroplating, metal surface quenching, glass hot bending, metal micro-arc oxidation, metal anodizing, glass coating, plastic biting, metal sandblasting and shot blasting, and plastic printing. All production processes need to consume electricity resources. The production processes that need to consume steam resources are metal surface quenching, glass hot bending, plastic surface disinfection, and plastic film lamination.

[0078] The number of resources N consumed by metal electroplating equipment is 2. Hydraulic resources are needed for multiple water washing of the electroplating tank electrolyte and the workpiece surface. Water electrolysis requires large current input. The rectifier and supporting equipment consume electricity and need to use electric resources. The number of resources N consumed by metal surface quenching equipment is 3. Electric resources are needed for electric heating of metal surface heat treatment. The quenching process of the metal surface requires the use of hydraulic resources or steam resources as the quenching medium. At the same time, steam can soften the oil on the metal surface and can be used for degreasing and cleaning with a degreasing agent. The number of resources N consumed by glass hot bending equipment is 3. The glass hot bending process requires the use of electric resources for electric heating. Hydraulic resources and steam resources are needed for cleaning and impurity removal of the glass surface. The number of resources N consumed by plastic surface disinfection equipment is 2. For medical plastic products, steam resources are used for steam disinfection in production work. Disinfection-related supporting equipment needs to be powered by electric resources. The number of resources N consumed by plastic film bonding equipment is 2. During the plastic film bonding process, some processes use steam resources to heat the film to make it better fit the plastic substrate. Steam can soften the surface of film and plastic, increase the viscosity between the two, and thus improve the quality of bonding. The supporting equipment related to film bonding needs to be powered by electricity. The number of resources consumed by the equipment for plastic vacuum coating is 1, and vacuum coating requires electricity to drive the vacuum pump. The number of resources consumed by the equipment for metal micro-arc oxidation is 2, and micro-arc oxidation requires electricity to provide long-term high voltage and high current, and hydraulic resources are required to clean the workpiece surface. The number of resources consumed by the equipment for metal anodizing is 2, and metal anodizing requires electricity to provide high current and processing temperature control, and hydraulic resources are required to clean the workpiece surface. The number of resources consumed by the equipment for glass coating is 2, and glass coating requires water. Power resources are needed to clean the surface in advance. Power resources are needed to power the coating equipment and related vacuum equipment. The number of resources consumed by the plastic texturing equipment is N2. Plastic texturing requires electric heating. Water resources are needed to clean the texturing surface to avoid chemical reagent residues. The number of resources consumed by the metal sandblasting equipment is N2. Metal shot blasting requires water resources to clean the residual particles on the workpiece surface. Power resources are needed to power the compressor or power device. The number of resources consumed by the metal wire drawing equipment is N1. Power resources are needed to power the mold equipment. The number of resources consumed by the plastic printing equipment is N2. Power resources are needed to transport ink and dry it. Water resources are needed to clean the equipment itself.

[0079] Processing units according to the formula Calculate the energy consumption index P of the equipment, where kw is the proportional coefficient of water resources, ke is the proportional coefficient of electric resources, and ks is the proportional coefficient of steam resources. The specific value is determined according to the specific usage of water resources, electric resources and steam resources in the production process. Take the production process of metal electroplating as an example. Water electrolysis requires large current input, and the rectifier and supporting equipment consume high power. The value of ke is 0.8. The electroplating process uses water resources for cleaning and liquid preparation, which is not large but critical. The value of kw is 0.15. The metal electroplating process does not use steam resources, and the value of ks is 0. f1 is the scale coefficient of the production process. When the equipment involves a large production scale, f1 takes a larger value, and the energy consumption of the production process is lower. When the equipment involves a small production scale, f1 takes a smaller value, and the energy consumption of the production process is higher. The value range is 0.5-1.5. f2 is the age coefficient of the equipment, which is the age of the equipment. New equipment with a short service life has high efficiency and low energy consumption. Old equipment with a long service life has wear and tear and performance decline, resulting in increased energy consumption. The value range is 0.8-1.2. The value of the equipment just put into use is 0.8, and the value of the equipment nearing scrapping is 1.2.

[0080] The process of obtaining the loss index k1 is as follows:

[0081] When the device starts, the terminal monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the start node. The time module transmits the start node to the processing unit. The processing unit obtains the consumption information w3, consumption information e3 and consumption information s3 of the connected device at the start node from the terminal monitoring module.

[0082] The processing unit continuously obtains consumption information w2, consumption information e2 and consumption information s2 of the branch monitoring module after the startup node, and the processing unit establishes a first curve graph, the horizontal axis of the first curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption. The processing unit inputs the consumption information w2, the consumption information e2 and the consumption information s2 into the first curve graph to obtain the w2 startup curve, the e2 startup curve and the s2 startup curve respectively;

[0083] The processing unit calculates the difference Uw2 of the w2 start curve, marks the branch w delay node and calculates the time difference Δt1 between the start node and the time Uw2t, calculates the difference Ue2 of the e2 start curve, marks the branch e delay node and calculates the time difference Δt2 between the start node and the time Ue2t, calculates the difference Us2 of the s2 start curve, marks the branch s delay node and calculates the time difference Δt3 between the start node and the time Us2t;

[0084] Processing units according to the formula Calculate the loss index k1, Uw2 is the difference between the maximum and minimum values ​​of the rising interval of the w2 startup curve after the branch w delay node, Ue2 is the difference between the maximum and minimum values ​​of the rising interval of the e2 startup curve after the branch e delay node, Us2 is the difference between the maximum and minimum values ​​of the rising interval of the s2 startup curve after the branch s delay node, N is the number of resources consumed by the equipment process, blo is the compensation value, the value is 10, to prevent the Δt2 value from being too small to affect the accuracy of K1;

[0085] The process of obtaining the loss index k2 is as follows:

[0086] When the equipment connected to any branch module is started, the branch monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the start node. The time module transmits the start node to the processing unit. The processing unit obtains the consumption information w2, consumption information e2 and consumption information s2 of the connected plant area at the start node from the branch monitoring module;

[0087] The processing unit continuously obtains the consumption information w1, consumption information e1 and consumption information s1 of the total monitoring module after the startup node, and the processing unit establishes a second curve graph, the horizontal axis of the second curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption. The processing unit inputs the consumption information w1, the consumption information e1 and the consumption information s1 into the second curve graph to obtain the w1 startup curve, the e1 startup curve and the s1 startup curve respectively;

[0088] The processing unit calculates the difference Uw1 of the w1 startup curve, marks the total w delay node and calculates the time difference Δt4 between the startup node and the time Uw1t, calculates the difference Ue1 of the e1 startup curve, marks the total e delay node and calculates the time difference Δt5 between the startup node and the time Ue1t, calculates the difference Us1 of the s1 startup curve, marks the total s delay node and calculates the time difference Δt6 between the startup node and the time Us1t;

[0089] Processing units according to the formula Calculate the loss index k2, Uw1 is the difference between the maximum and minimum values ​​of the rising interval of the w1 startup curve after the total w delay node, Ue1 is the difference between the maximum and minimum values ​​of the rising interval of the e1 startup curve after the total e delay node, Us1 is the difference between the maximum and minimum values ​​of the rising interval of the s1 startup curve after the total s delay node, N is the number of resources consumed by the equipment process, blo is the compensation value, the value is 10, to prevent the Δt5 value from being too small to affect the accuracy of K2.

[0090] Among them, the calculation process of the difference Uw2, Ue2 and Us2 is as follows:

[0091] The processing unit records the difference Uw2 between the maximum and minimum values ​​of each rising interval of the w2 startup curve. The processing unit compares the difference Uw2 with the consumption information w3 in chronological order. When Uw2>w3, the processing unit extracts the corresponding minimum value of the rising interval in the w2 startup curve. The time module obtains the time Uw2t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Uw2t as the delay node of the branch w. The processing unit calculates the time difference Δt1 between the startup node and the time Uw2t.

[0092] The processing unit records the difference Ue2 between the maximum and minimum values ​​of each rising interval of the e2 start curve, and compares the difference Ue2 with the consumption information e3 in chronological order. When Ue2>e3, the processing unit extracts the corresponding minimum value of the rising interval in the e2 start curve, and the time module obtains the time Ue2t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Ue2t as the delay node of the branch e, and the processing unit calculates the time difference Δt2 between the start node and the time Ue2t;

[0093] The processing unit records the difference Us2 between the maximum and minimum values ​​of each rising interval of the s2 startup curve, and compares the difference Us2 with the consumption information s3 in chronological order. When Us2>s3, the processing unit extracts the corresponding minimum value of the rising interval in the s2 startup curve, and the time module obtains the time Us2t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Us2t as the delay node of branch s, and calculates the time difference Δt3 between the startup node and the time Us2t.

[0094] The calculation process of the differences Uw1, Ue1 and Us1 is as follows:

[0095] The processing unit records the difference Uw1 between the maximum and minimum values ​​of each rising interval of the w1 startup curve. The processing unit compares the difference Uw1 with the consumption information w2 in chronological order. When Uw1>w2, the processing unit extracts the corresponding minimum value of the rising interval in the w1 startup curve. The time module obtains the time Uw1t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Uw1t as the total w delay node. The processing unit calculates the time difference Δt4 between the startup node and the time Uw1t.

[0096] The processing unit records the difference Ue1 between the maximum and minimum values ​​of each rising interval of the e1 startup curve. The processing unit compares the difference Ue1 with the consumption information e2 in chronological order. When Ue1>e2, the processing unit extracts the corresponding minimum value of the rising interval in the e1 startup curve. The time module obtains the time Ue1t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Ue1t as the total e delay node. The processing unit calculates the time difference Δt5 between the startup node and the time Ue1t.

[0097] The processing unit records the difference Us1 between the maximum and minimum values ​​of each rising interval of the s1 startup curve, and compares the difference Us1 with the consumption information s2 in chronological order. When Us1>s2, the processing unit extracts the corresponding minimum value of the rising interval in the s1 startup curve, and the time module obtains the time Us1t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Us1t as the total s delay node, and calculates the time difference Δt6 between the startup node and the time Us1t.

[0098] The process of obtaining the loss index k3 is as follows:

[0099] When the device stops, the terminal monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the stop node. The time module transmits the stop node to the processing unit. The processing unit obtains the consumption information w3, consumption information e3 and consumption information s3 of the connected device at the stop node from the terminal monitoring module.

[0100] The processing unit continuously obtains the consumption information w2, consumption information e2 and consumption information s2 of the branch monitoring module after the stop node, and the processing unit establishes a third curve graph, the horizontal axis of the third curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption, and the processing unit inputs the consumption information w2, the consumption information e2 and the consumption information s2 into the third curve graph to obtain the w2 stop curve, the e2 stop curve and the s2 stop curve respectively;

[0101] The processing unit calculates the difference Dw2 of the stop curve of w2, marks the postponed node of branch w and calculates the time difference Δt7 between the stop node and the time Dw2t, calculates the difference De2 of the stop curve of e2, marks the postponed node of branch e and calculates the time difference Δt8 between the stop node and the time De2t, calculates the difference Ds2 of the stop curve of s2, marks the postponed node of branch s and calculates the time difference Δt9 between the stop node and the time Ds2t;

[0102] Processing units according to the formula Calculate the loss index k3, Dw2 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of w2 after the branch w postpones the node, De2 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of e2 after the branch e postpones the node, Ds2 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of s2 after the branch s postpones the node, N is the number of resources consumed by the equipment process, blo is the compensation value, the value is 15, to prevent the value of Δt8 from being too small to affect the accuracy of K3;

[0103] The process of obtaining the loss index k4 is as follows:

[0104] When the equipment connected to any branch module stops, the branch monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the stop node. The time module transmits the stop node to the processing unit. The processing unit obtains the consumption information w2, consumption information e2 and consumption information s2 of the connected plant area at the stop node from the branch monitoring module.

[0105] The processing unit continuously obtains the consumption information w1, consumption information e1 and consumption information s1 of the total monitoring module after the stop node, and the processing unit establishes a fourth curve graph, the horizontal axis of the fourth curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption, and the processing unit inputs the consumption information w1, the consumption information e1 and the consumption information s1 into the fourth curve graph to obtain the w1 stop curve, the e1 stop curve and the s1 stop curve respectively;

[0106] The processing unit calculates the difference Dw1 of the w1 stop curve, marks the total w postponed nodes and calculates the time difference Δt10 between the stop node and the time Dw1t, calculates the difference De1 of the e1 stop curve, marks the total e postponed nodes and calculates the time difference Δt11 between the stop node and the time De1t, calculates the difference Ds1 of the s1 stop curve, marks the total s postponed nodes and calculates the time difference Δt12 between the stop node and the time Ds1t;

[0107] Processing units according to the formula Calculate the loss index k4, Dw1 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of w1 after the branch w postpones the node, De1 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of e1 after the branch e postpones the node, Ds1 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of s1 after the branch s postpones the node, N is the number of resources consumed by the equipment process, blo is the compensation value, the value is 15, to prevent the Δt11 value from being too small to affect the accuracy of K4.

[0108] The calculation process of the differences Dw2, De2 and Ds2 is as follows:

[0109] The processing unit records the difference Dw2 between the maximum and minimum values ​​of each descending interval of the w2 stop curve. The processing unit compares the difference Dw2 with the consumption information w3 in chronological order. When Dw2>w3, the processing unit extracts the corresponding maximum value of the descending interval in the w2 stop curve. The time module obtains the time Dw2t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Dw2t as the postponed node of the branch w. The processing unit calculates the time difference Δt7 between the stop node and the time Dw2t.

[0110] The processing unit records the difference De2 between the maximum and minimum values ​​of each descending interval of the e2 stop curve. The processing unit compares the difference De2 with the consumption information e3 in chronological order. When De2>e3, the processing unit extracts the corresponding maximum value of the descending interval in the e2 stop curve. The time module obtains the time De2t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time De2t as the postponed node of the branch e. ​​The processing unit calculates the time difference Δt8 between the stop node and the time De2t.

[0111] The processing unit records the difference Ds2 between the maximum and minimum values ​​of each descending interval of the s2 stop curve, and compares the difference Ds2 with the consumption information s3 in chronological order. When Ds2>s3, the processing unit extracts the corresponding maximum value of the descending interval in the s2 stop curve, and the time module obtains the time Ds2t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Ds2t as the postponed node of branch s, and calculates the time difference Δt9 between the stop node and the time Ds2t.

[0112] The calculation process of the differences Dw1, De1 and Ds1 is as follows:

[0113] The processing unit records the difference Dw1 between the maximum and minimum values ​​of each descending interval of the w1 stop curve. The processing unit compares the difference Dw1 with the consumption information w2 in chronological order. When Dw1>w2, the processing unit extracts the corresponding maximum value of the descending interval in the w1 stop curve. The time module obtains the time Dw1t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Dw1t as the total w postponed node. The processing unit calculates the time difference Δt10 between the stop node and the time Dw1t.

[0114] The processing unit records the difference De1 between the maximum and minimum values ​​of each descending interval of the e1 stop curve. The processing unit compares the difference De1 with the consumption information e2 in chronological order. When De1>e2, the processing unit extracts the corresponding maximum value of the descending interval in the e1 stop curve. The time module obtains the time De1t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time De1t as the total e postponement node. The processing unit calculates the time difference Δt11 between the stop node and the time De1t.

[0115] The processing unit records the difference Ds1 between the maximum and minimum values ​​of each descending interval of the s1 stop curve, and compares the difference Ds1 with the consumption information s2 in chronological order. When Ds1>s2, the processing unit extracts the corresponding maximum value of the descending interval in the s1 stop curve, and the time module obtains the time Ds1t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. The processing unit marks the time Ds1t as the total s postponed node, and calculates the time difference Δt12 between the stop node and the time Ds1t.

[0116] The process of obtaining the running time T is as follows:

[0117] The time module obtains the start node and stop node of the device connected to the terminal monitoring module and transmits them to the processing unit, and the processing unit records the duration t1 from the start node to the stop node of the terminal monitoring module. The time module obtains the start node and stop node of the corresponding device connected to the branch monitoring module and transmits them to the processing unit, and the processing unit records the duration t2 from the start node to the stop node of the branch monitoring module. The time module obtains the start node and stop node of the corresponding device connected to the main monitoring module and transmits them to the processing unit, and the processing unit records the duration t3 from the start node to the stop node of the main monitoring module.

[0118] Processing units according to the formula Calculate the operating time T of the corresponding equipment, q1, q2 and q3 are proportional coefficients, and satisfy the condition q1+q2+q3=1. Determine the specific value based on the transmission length of the hydraulic resources, power resources and steam resources of each equipment in each plant area in the park.

[0119] The calculation process of the operating index R is as follows:

[0120] Processing units according to the formula Calculate the operation index R of the equipment, k1 is the loss index of the terminal monitoring module and the branch monitoring module at the start node, k2 is the loss index of the branch monitoring module and the main monitoring module at the start node, k3 is the loss index of the terminal monitoring module and the branch monitoring module at the stop node, k4 is the loss index of the branch monitoring module and the main monitoring module at the stop node, P is the energy consumption index of the equipment, and T is the operation time T of the equipment;

[0121] The optimization scheme is as follows:

[0122] The processing unit presets a settlement cycle of seven days. The processing unit recalculates the operation index R of each device in each settlement cycle, arranges all devices in descending order according to the operation index R to obtain an optimization sequence, and the processing unit calculates and marks the first third of the optimization sequence as high-quality devices, the last third of the optimization sequence as poor devices, and the remaining devices in the optimization sequence as general devices;

[0123] The park will reduce or exempt service fees for water resources, electricity resources and steam resources of high-quality equipment, and increase service fees for water resources, electricity resources and steam resources of inferior equipment. The extent of reduction or exemption and increase will be determined based on the scale of equipment production in the park.

[0124] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. Intelligent energy and equipment energy efficiency management system, characterized by: It includes a general monitoring module, a branch monitoring module, a terminal monitoring module, a time module, a processing unit and a collection terminal, wherein the output ends of the general monitoring module, the branch monitoring module and the terminal monitoring module are all connected to the input end of the processing unit, the output ends of the general monitoring module, the branch monitoring module and the terminal monitoring module are all connected to the input end of the time module, the output end of the time module is connected to the input end of the processing unit, and the output end of the collection terminal is connected to the input end of the processing unit; The general monitoring module sequentially obtains the consumption information w1, e1, s1 of the water resources, electric power resources and steam resources of the park, the branch monitoring module sequentially obtains the consumption information w2, e2, s2 of the water resources, electric power resources and steam resources of each plant area in the park, and the terminal monitoring module sequentially obtains the consumption information w3, e3, s3 of the water resources, electric power resources and steam resources of each equipment in the plant area; The acquisition terminal acquires the production process of each device in the park, and the time module acquires the time information of the total monitoring module, each branch monitoring module and each terminal monitoring module. The time information includes a start node and a stop node. The acquisition terminal transmits the acquired production process to the processing unit, and the time module transmits the acquired time information to the processing unit; The processing unit classifies the production process into three levels: high energy consumption process, general energy consumption process and low energy consumption process. The corresponding equipment energy consumption index is calculated according to the production process level of each device, the number of process consumption resources N, consumption information w3, consumption information e3 and consumption information s3. The processing unit calculates the loss index k1 between the total monitoring module and the branch monitoring module at the start node, calculates the loss index k2 between the branch monitoring module and the terminal monitoring module at the start node, calculates the loss index k3 between the total monitoring module and the branch monitoring module at the stop node, calculates the loss index k4 between the branch monitoring module and the terminal monitoring module at the stop node, and records the running time T of the device according to the start node and stop node of each device; The operation index R of the equipment is calculated according to the energy consumption index, loss index k1, loss index k2, loss index k3, loss index k4 and the operation time of the equipment, and the optimization plan for each equipment is output according to the operation index R of the equipment.

2. The intelligent energy and equipment energy efficiency management system according to claim 1, characterized in that: The production processes are all surface treatment processes, among which high energy consumption processes include metal electroplating, metal surface quenching, glass hot bending, plastic surface disinfection, plastic film lamination and plastic vacuum coating, general energy consumption processes include metal micro-arc oxidation, metal anodizing, glass coating and plastic texturing, and low energy consumption processes include metal sandblasting and shot blasting, metal wire drawing and plastic printing; The equipment energy consumption index is calculated as follows: Obtain the production process of the equipment connected to the collection terminal from the collection terminal. The production processes that need to consume water resources are metal electroplating, metal surface quenching, glass hot bending, metal micro-arc oxidation, metal anodizing, glass coating, plastic biting, metal sandblasting and shot blasting, and plastic printing. All production processes need to consume electricity resources. The production processes that need to consume steam resources are metal surface quenching, glass hot bending, plastic surface disinfection, and plastic film lamination. According to the formula Calculate the energy consumption index P of the equipment, where kw is the proportional coefficient of water resources, ke is the proportional coefficient of electricity resources, ks is the proportional coefficient of steam resources, and the specific value is determined according to the specific usage of water resources, electricity resources and steam resources in the production process. f1 is the scale coefficient of the production process, ranging from 0.5-1.5, and f2 is the new and old coefficient of the equipment, ranging from 0.8-1.

2.

3. The intelligent energy and equipment energy efficiency management system according to claim 1, characterized in that: The process of obtaining the loss index k1 is as follows: When the device starts, the terminal monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the start node. The time module transmits the start node to the processing unit and obtains the consumption information w3, consumption information e3 and consumption information s3 of the connected device at the start node from the terminal monitoring module. Continuously obtain consumption information w2, consumption information e2 and consumption information s2 of the branch monitoring module after the startup node, establish a first curve graph, the horizontal axis of the first curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption, and input the consumption information w2, the consumption information e2 and the consumption information s2 into the first curve graph to obtain the w2 startup curve, the e2 startup curve and the s2 startup curve respectively; Calculate the difference Uw2 of the w2 startup curve, mark the branch w delay node and calculate the time difference Δt1 between the startup node and the time Uw2t, calculate the difference Ue2 of the e2 startup curve, mark the branch e delay node and calculate the time difference Δt2 between the startup node and the time Ue2t, calculate the difference Us2 of the s2 startup curve, mark the branch s delay node and calculate the time difference Δt3 between the startup node and the time Us2t; According to the formula Calculate the loss index k1, Uw2 is the difference between the maximum and minimum values ​​of the rising interval of the w2 startup curve after the branch w delay node, Ue2 is the difference between the maximum and minimum values ​​of the rising interval of the e2 startup curve after the branch e delay node, Us2 is the difference between the maximum and minimum values ​​of the rising interval of the s2 startup curve after the branch s delay node, N is the number of resources consumed by the equipment process, blo is the compensation value to prevent the Δt2 value from being too small to affect the accuracy of K1; The process of obtaining the loss index k2 is as follows: When the equipment connected to any branch module is started, the branch monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the start node. The time module transmits the start node to the processing unit and obtains the consumption information w2, consumption information e2 and consumption information s2 of the connected plant area at the start node from the branch monitoring module; Continuously obtain the consumption information w1, consumption information e1 and consumption information s1 of the total monitoring module after the startup node, establish a second curve graph, the horizontal axis of the second curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption, and input the consumption information w1, the consumption information e1 and the consumption information s1 into the second curve graph to obtain the w1 startup curve, the e1 startup curve and the s1 startup curve respectively; Calculate the difference Uw1 of the w1 startup curve, mark the total w delay node and calculate the time difference Δt4 between the startup node and the time Uw1t, calculate the difference Ue1 of the e1 startup curve, mark the total e delay node and calculate the time difference Δt5 between the startup node and the time Ue1t, calculate the difference Us1 of the s1 startup curve, mark the total s delay node and calculate the time difference Δt6 between the startup node and the time Us1t; According to the formula Calculate the loss index k2, Uw1 is the difference between the maximum and minimum values ​​of the rising interval of the w1 startup curve after the total w delay node, Ue1 is the difference between the maximum and minimum values ​​of the rising interval of the e1 startup curve after the total e delay node, Us1 is the difference between the maximum and minimum values ​​of the rising interval of the s1 startup curve after the total s delay node, N is the number of resources consumed by the equipment process, blo is the compensation value to prevent the Δt5 value from being too small to affect the accuracy of K2.

4. The intelligent energy and equipment energy efficiency management system according to claim 3 is characterized in that: The calculation process of the differences Uw2, Ue2 and Us2 is as follows: The processing unit records the difference Uw2 between the maximum and minimum values ​​of each rising interval of the w2 startup curve, and compares the difference Uw2 with the consumption information w3 in chronological order. When Uw2>w3, the corresponding minimum value of the rising interval in the w2 startup curve is extracted. The time module obtains the time Uw2t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The time Uw2t is marked as the delay node of the branch w, and the time difference Δt1 between the startup node and the time Uw2t is calculated; Record the difference Ue2 between the maximum and minimum values ​​of each rising interval of the e2 startup curve, and compare the difference Ue2 with the consumption information e3 in chronological order. When Ue2>e3, extract the corresponding minimum value of the rising interval in the e2 startup curve. The time module obtains the time Ue2t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The time Ue2t is marked as the delay node of the branch e. ​​The processing unit calculates the time difference Δt2 between the startup node and the time Ue2t. Record the difference Us2 between the maximum and minimum values ​​of each rising interval of the s2 startup curve, and compare the difference Us2 with the consumption information s3 in chronological order. When Us2>s3, extract the corresponding minimum value of the rising interval in the s2 startup curve. The time module obtains the time Us2t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. Mark the time Us2t as the delay node of branch s, and calculate the time difference Δt3 between the startup node and the time Us2t.

5. The intelligent energy and equipment energy efficiency management system according to claim 3, characterized in that: The calculation process of the differences Uw1, Ue1 and Us1 is as follows: The processing unit records the difference Uw1 between the maximum and minimum values ​​of each rising interval of the w1 startup curve, and compares the difference Uw1 with the consumption information w2 in chronological order. When Uw1>w2, the corresponding minimum value of the rising interval in the w1 startup curve is extracted. The time module obtains the time Uw1t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. The time Uw1t is marked as the total w delay node, and the time difference Δt4 between the startup node and the time Uw1t is calculated; Record the difference Ue1 between the maximum and minimum values ​​of each rising interval of the e1 startup curve, and compare the difference Ue1 with the consumption information e2 in chronological order. When Ue1>e2, extract the corresponding minimum value of the rising interval in the e1 startup curve. The time module obtains the time Ue1t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. Mark the time Ue1t as the total e delay node, and calculate the time difference Δt5 between the startup node and the time Ue1t. Record the difference Us1 between the maximum and minimum values ​​of each rising interval of the s1 startup curve, and compare the difference Us1 with the consumption information s2 in chronological order. When Us1>s2, extract the corresponding minimum value of the rising interval in the s1 startup curve. The time module obtains the time Us1t corresponding to the minimum value of the rising interval of the branch monitoring module and transmits it to the processing unit. Mark the time Us1t as the total s delay node, and calculate the time difference Δt6 between the startup node and the time Us1t.

6. The intelligent energy and equipment energy efficiency management system according to claim 1, characterized in that: The process of obtaining the loss index k3 is as follows: When the device stops, the terminal monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the stop node. The time module transmits the stop node to the processing unit, and obtains the consumption information w3, consumption information e3 and consumption information s3 of the connected device at the stop node from the terminal monitoring module; Continuously obtain consumption information w2, consumption information e2 and consumption information s2 of the branch monitoring module after the stop node, establish a third curve graph, the horizontal axis of the third curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption, and input the consumption information w2, the consumption information e2 and the consumption information s2 into the third curve graph to obtain the w2 stop curve, the e2 stop curve and the s2 stop curve respectively; Calculate the difference Dw2 of the stop curve of w2, mark the branch w postponed node and calculate the time difference Δt7 between the stop node and the time Dw2t, calculate the difference De2 of the stop curve of e2, mark the branch e postponed node and calculate the time difference Δt8 between the stop node and the time De2t, calculate the difference Ds2 of the stop curve of s2, mark the branch s postponed node and calculate the time difference Δt9 between the stop node and the time Ds2t; According to the formula Calculate the loss index k3, Dw2 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of w2 after the branch w postpones the node, De2 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of e2 after the branch e postpones the node, Ds2 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of s2 after the branch s postpones the node, N is the number of resources consumed by the equipment process, blo is the compensation value to prevent the Δt8 value from being too small to affect the accuracy of K3; The process of obtaining the loss index k4 is as follows: When the equipment connected to any branch module stops, the branch monitoring module sends a message to the time module. When the time module receives the message, it records the time mark as the stop node. The time module transmits the stop node to the processing unit, and obtains the consumption information w2, consumption information e2 and consumption information s2 of the connected plant area at the stop node from the branch monitoring module; Continuously obtain the consumption information w1, e1 and s1 of the total monitoring module after the stop node, establish a fourth curve graph, the horizontal axis of the fourth curve graph is time, and the vertical axes are respectively the water resource consumption, the power resource consumption and the steam resource consumption, and input the consumption information w1, the consumption information e1 and the consumption information s1 into the fourth curve graph to obtain the w1 stop curve, the e1 stop curve and the s1 stop curve respectively; Calculate the difference Dw1 of the w1 stop curve, mark the total w postponed nodes and calculate the time difference Δt10 between the stop node and the time Dw1t, calculate the difference De1 of the e1 stop curve, mark the total e postponed nodes and calculate the time difference Δt11 between the stop node and the time De1t, calculate the difference Ds1 of the s1 stop curve, mark the total s postponed nodes and calculate the time difference Δt12 between the stop node and the time Ds1t; According to the formula Calculate the loss index k4, Dw1 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of w1 after the branch w postpones the node, De1 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of e1 after the branch e postpones the node, Ds1 is the difference between the maximum and minimum values ​​of the descending interval of the stop curve of s1 after the branch s postpones the node, N is the number of resources consumed by the equipment process, blo is the compensation value to prevent the Δt11 value from being too small to affect the accuracy of K4.

7. The intelligent energy and equipment energy efficiency management system according to claim 6, characterized in that: The calculation process of the differences Dw2, De2 and Ds2 is as follows: Record the difference Dw2 between the maximum and minimum values ​​of each descending interval of the w2 stop curve, and compare the difference Dw2 with the consumption information w3 in chronological order. When Dw2>w3, extract the corresponding maximum value of the descending interval in the w2 stop curve. The time module obtains the time Dw2t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. Mark the time Dw2t as the postponed node of branch w, and calculate the time difference Δt7 between the stop node and the time Dw2t. Record the difference De2 between the maximum and minimum values ​​of each descending interval of the e2 stop curve, and compare the difference De2 with the consumption information e3 in chronological order. When De2>e3, extract the corresponding maximum value of the descending interval in the e2 stop curve. The time module obtains the time De2t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. Mark the time De2t as the postponed node of the branch e, and calculate the time difference Δt8 between the stop node and the time De2t. Record the difference Ds2 between the maximum and minimum values ​​of each descending interval of the s2 stop curve, and compare the difference Ds2 with the consumption information s3 in chronological order. When Ds2>s3, extract the corresponding maximum value of the descending interval in the s2 stop curve. The time module obtains the time Ds2t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. Mark the time Ds2t as the postponed node of branch s, and calculate the time difference Δt9 between the stop node and the time Ds2t.

8. The intelligent energy and equipment energy efficiency management system according to claim 6, characterized in that: The calculation process of the differences Dw1, De1 and Ds1 is as follows: Record the difference Dw1 between the maximum and minimum values ​​of each descending interval of the w1 stop curve, and compare the difference Dw1 with the consumption information w2 in chronological order. When Dw1>w2, extract the corresponding maximum value of the descending interval in the w1 stop curve. The time module obtains the time Dw1t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. Mark the time Dw1t as the total w postponement node, and calculate the time difference Δt10 between the stop node and the time Dw1t. Record the difference De1 between the maximum and minimum values ​​of each descending interval of the e1 stop curve, and compare the difference De1 with the consumption information e2 in chronological order. When De1>e2, extract the corresponding maximum value of the descending interval in the e1 stop curve. The time module obtains the time De1t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. Mark the time De1t as the total e postponement node, and calculate the time difference Δt11 between the stop node and the time De1t. Record the difference Ds1 between the maximum and minimum values ​​of each descending interval of the s1 stop curve, and compare the difference Ds1 with the consumption information s2 in chronological order. When Ds1>s2, extract the corresponding maximum value of the descending interval in the s1 stop curve. The time module obtains the time Ds1t corresponding to the maximum value of the descending interval of the branch monitoring module and transmits it to the processing unit. Mark the time Ds1t as the total s postponement node, and calculate the time difference Δt12 between the stop node and the time Ds1t.

9. The intelligent energy and equipment energy efficiency management system according to claim 1, characterized in that: The process of obtaining the running time T is as follows: The time module obtains the start node and stop node of the device connected to the terminal monitoring module and transmits them to the processing unit, and records the duration t1 from the start node to the stop node of the terminal monitoring module. The time module obtains the start node and stop node of the corresponding device connected to the branch monitoring module and transmits them to the processing unit, and records the duration t2 from the start node to the stop node of the branch monitoring module. The time module obtains the start node and stop node of the corresponding device connected to the main monitoring module and transmits them to the processing unit, and records the duration t3 from the start node to the stop node of the main monitoring module. According to the formula Calculate the operating time T of the corresponding equipment, q1, q2 and q3 are proportional coefficients, and the condition q1+q2+q3=1 is satisfied.

10. The intelligent energy and equipment energy efficiency management system according to claim 1, characterized in that: The calculation process of the running index R is as follows: According to the formula Calculate the operation index R of the equipment, k1 is the loss index of the terminal monitoring module and the branch monitoring module at the start node, k2 is the loss index of the branch monitoring module and the main monitoring module at the start node, k3 is the loss index of the terminal monitoring module and the branch monitoring module at the stop node, k4 is the loss index of the branch monitoring module and the main monitoring module at the stop node, P is the energy consumption index of the equipment, and T is the operation time T of the equipment; The optimization scheme is as follows: The processing unit presets a settlement cycle, recalculates the operation index R of each device in each settlement cycle, arranges all devices in descending order according to the operation index R to obtain an optimization sequence, and marks the first one-third of the optimization sequence as high-quality devices, the last one-third of the optimization sequence as poor devices, and the remaining devices in the optimization sequence as general devices; The park will reduce or exempt service fees for water resources, electricity resources and steam resources of high-quality equipment, and increase service fees for water resources, electricity resources and steam resources of inferior equipment.

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