Smart energy consumption analysis method and system

Abstract

The invention is suitable for the technical field of energy consumption analysis, and particularly relates to a smart energy consumption analysis method and system, and the method comprises the steps: drawing a technological process PID diagram, marking energy consumption equipment, positioning a control node of the energy consumption equipment, defining a standard working condition, reading a valve position of the control node through a preset DCS central control system, and carrying out the control of the energy consumption equipment. The fluctuation range of the valve position under the standard working condition is configured; and traversing the technological process PID diagram, determining the energy type of each control node, and clustering the fluctuation range based on the energy types. By generating the monitoring tree, the energy analysis result can be quickly output, the abnormal node can be found out, the energy consumption abnormal position can be accurately positioned, the more effective energy consumption management strategy can be formulated, and by drawing the change trend chart, the energy consumption condition can be visually displayed, the energy consumption state can be comprehensively known, and the energy consumption abnormity can be timely found and processed. And stable operation of a production system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of energy consumption analysis, and in particular to a smart energy consumption analysis method and system. Background Art

[0002] Energy consumption analysis is an important task in the chemical production process, but it often faces the problem of complex and diverse sources. Chemical companies usually use various forms of energy, including electricity, steam, natural gas, coal and renewable energy. These energy sources may come from different production systems, and the data formats and units between different devices are also different. When conducting energy consumption analysis, a lot of format conversion and unit conversion are often required, which greatly limits the efficiency of energy analysis. Taking steam as an example, its units include but are not limited to kg / h, t / h, Nm 3 / h and m 3 / h, etc.

[0003] Chemical production generally uses a DCS central control system to monitor and adjust the production process, and the valve position of the energy-consuming equipment directly determines the energy consumption; therefore, "how to use the valve position to optimize the energy consumption analysis process" is the technical problem that the present invention needs to solve. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent energy consumption analysis method and system to solve the problem of "how to use valve position to optimize the energy consumption analysis process" raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A smart energy consumption analysis method, the method comprising: Draw the process PID diagram, mark the energy-consuming equipment, locate the control nodes of the energy-consuming equipment, define the standard working conditions, read the valve position of the control node through the preset DCS central control system, and configure the fluctuation range of the valve position under the standard working conditions; Traversing the process PID diagram, determining the energy type of each control node, clustering the fluctuation range based on the energy type, creating a monitoring tree corresponding to the energy type, and dividing the monitoring tree into three parts: left, middle and right. Synchronizing the fluctuation range to the left part, reading the real-time valve position of the control node through the DCS central control system, and migrating the real-time valve position to the right part of the monitoring tree; The corresponding relationship between the real-time valve position and the fluctuation range is configured, the control node whose real-time valve position exceeds the fluctuation range is defined as an abnormal node, and the monitoring tree is tilted; The real-time valve positions of each monitoring tree are superimposed to obtain the total valve position, and a change trend diagram is drawn with the current time as the horizontal coordinate and the total valve position as the vertical coordinate.

[0006] Furthermore, the steps of drawing a process flow PID diagram, marking energy-consuming equipment, locating control nodes of the energy-consuming equipment, and defining standard working conditions include: Establishing a correspondence between the control nodes and the energy consuming devices, wherein one of the energy consuming devices corresponds to at least one control node; The device parameters of the DCS central control system are read out, and based on a preset evaluation rule, it is determined whether the device parameters are out of standard. If not, the device parameters are defined as standard working conditions.

[0007] Furthermore, the step of reading the valve position of the control node through a preset DCS central control system and configuring the fluctuation range of the valve position under standard working conditions includes: From the DCS central control system, extract a snapshot under the standard working condition, and embed a timestamp into the snapshot; All snapshots are integrated to generate an archive set, and the fluctuation range of each device parameter is traversed.

[0008] Furthermore, the step of traversing the process PID diagram, determining the energy type of each control node, clustering the fluctuation range based on the energy type, and creating a monitoring tree corresponding to the energy type includes: In the process PID diagram, the energy pipeline is marked, and the energy type is traced back to establish a mapping of energy type, control node, fluctuation range and real-time valve position; Inserting tags generated by energy types into the monitoring tree.

[0009] Further, the steps of dividing the monitoring tree into three parts, namely, left, middle and right parts, synchronizing the fluctuation range to the left part, reading the real-time valve position of the control node via the DCS central control system, and transferring the real-time valve position to the right part of the monitoring tree include: Embedding a balance factor into the middle of the monitoring tree and re-adjusting the monitoring tree; The influencing factors of the balance factor are traversed, wherein the influencing factors at least include: output and environment.

[0010] Furthermore, the steps of configuring the corresponding relationship between the real-time valve position and the fluctuation range, defining the control node whose real-time valve position exceeds the fluctuation range as an abnormal node, and tilting the monitoring tree include: configuring the linkage relationship between the real-time valve positions and correcting the abnormal nodes; It is determined whether the real-time valve position is greater than a preset threshold value, and if so, a preset emergency processing rule is initiated.

[0011] Furthermore, the step of superimposing the real-time valve position of each monitoring tree to obtain the total valve position, taking the current time as the horizontal coordinate and the total valve position as the vertical coordinate, and drawing a change trend diagram includes: Integrate all monitoring trees to generate a monitoring forest and integrate monitoring mechanisms; Count the total output of each monitoring tree, take the current time as the horizontal axis and the total output as the vertical axis, generate a change curve graph, and integrate it into the change trend graph; Determine whether there is a correlation between the change curve graph and the change trend graph. If not, find out the abnormal items in the monitoring forest.

[0012] Furthermore, the system comprises: The configuration module is used to draw the process PID diagram, mark the energy-consuming equipment, locate the control nodes of the energy-consuming equipment, define the standard working conditions, read the valve position of the control node through the preset DCS central control system, and configure the fluctuation range of the valve position under the standard working conditions; A migration module is used to traverse the process PID diagram, determine the energy type of each control node, cluster the fluctuation range based on the energy type, create a monitoring tree corresponding to the energy type, and divide the monitoring tree into three parts: left, middle and right. The fluctuation range is synchronized to the left part, and the real-time valve position of the control node is read through the DCS central control system, and the real-time valve position is migrated to the right part of the monitoring tree; A tilting module, used to configure the corresponding relationship between the real-time valve position and the fluctuation range, define the control node whose real-time valve position exceeds the fluctuation range as an abnormal node, and tilt the monitoring tree; The drawing module is used to superimpose the real-time valve position of each monitoring tree to obtain the total valve position, and draw a change trend diagram with the current time as the horizontal coordinate and the total valve position as the vertical coordinate.

[0013] Furthermore, the configuration module includes: An establishing unit, used to establish a correspondence between the control nodes and the energy consuming devices, wherein one of the energy consuming devices corresponds to at least one control node; A definition unit, used to read out the equipment parameters of the DCS central control system, and determine whether the equipment parameters are out of standard based on a preset evaluation rule, and if not, define the equipment parameters as standard working conditions; An embedding unit, used to intercept a snapshot under the standard working condition from the DCS central control system, and embed a timestamp into the snapshot; The archive unit is used to integrate all snapshots, generate an archive set, and traverse the fluctuation range of each device parameter.

[0014] Furthermore, the migration module includes: A mapping unit is used to mark the energy pipeline in the process PID diagram, trace back the energy type, and establish a mapping of energy type, control node, fluctuation range and real-time valve position; An inserting unit, configured to insert a tag generated by an energy type into the monitoring tree; A readjustment unit, configured to embed a balance factor into a middle portion of the monitoring tree and readjust the monitoring tree; The traversal unit is used to traverse the influencing factors of the balance factor, wherein the influencing factors at least include: output and environment.

[0015] Compared with the prior art, the present invention has the following beneficial effects: By determining the standard operating conditions, abnormal fluctuations in energy-consuming equipment can be identified, thus providing a data basis for energy consumption analysis. By determining the energy type, the energy usage structure can be accurately split to improve the accuracy of energy analysis. By generating a monitoring tree, energy analysis results can be quickly output, abnormal nodes can be found, and the location of abnormal energy consumption can be accurately located, providing decision support for the formulation of more effective energy consumption management strategies. By drawing a trend chart, the energy consumption status can be fully understood, energy consumption anomalies can be discovered and handled in a timely manner, and the stable operation of the production system can be ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a schematic diagram of the process of the chemical production system in Example 1 of this specification; Figure 2 for Figure 1 The schematic diagram of the monitoring tree for steam in a chemical production system is shown; Figure 3 Flow chart of the smart energy consumption analysis method provided by the embodiment of the present invention Figure 4 A first sub-flow chart of the smart energy consumption analysis method provided by an embodiment of the present invention; Figure 5 A second sub-flow chart of the smart energy consumption analysis method provided by an embodiment of the present invention; Figure 6 A third sub-flow chart of the smart energy consumption analysis method provided in an embodiment of the present invention; Figure 7 A fourth sub-flow chart of the smart energy consumption analysis method provided by an embodiment of the present invention; Figure 8 A block diagram of the composition of the smart energy consumption analysis system provided by an embodiment of the present invention; Fig. 9 A block diagram of the configuration module in the smart energy consumption analysis system provided by an embodiment of the present invention; Fig.10 A block diagram of the composition of the migration module in the smart energy consumption analysis system provided by an embodiment of the present invention; Fig.11 A block diagram of the composition of the tilt module in the smart energy consumption analysis system provided by an embodiment of the present invention; Fig.12 A block diagram of the composition of the drawing module in the smart energy consumption analysis system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] In Example 1, Figure 1 , Figure 2 and Figure 3 The implementation process of the smart energy consumption analysis method provided by the embodiment of the present invention is shown and described in detail below: S100: Draw a process flow PID diagram, mark the energy-consuming equipment, locate the control nodes of the energy-consuming equipment, define the standard working conditions, read the valve positions of the control nodes through the preset DCS central control system, and configure the fluctuation range of the valve positions under the standard working conditions.

[0019] Draw the process PID diagram of the production system and mark the energy-consuming equipment on the process PID diagram. Energy-consuming equipment is equipment that needs to use energy, including heat exchangers, reactors, reboilers and pumps. Determine the control node of each energy-consuming equipment. The control node is the corresponding remote regulating valve. The control node is remotely controlled by the DCS central control system. One energy-consuming equipment may correspond to one or more control nodes. Determine the equipment parameters of the energy-consuming equipment and record the fluctuation of the equipment parameters during the production process. According to the maximum and minimum values ​​of the equipment parameters in the fluctuation, configure the fluctuation range. If each equipment parameter is within the fluctuation range, the current production system is defined as the standard operating condition.

[0020] For example, in Figure 1 In the production system shown, the energy-consuming equipment are two groups of reboilers, and the two groups of remote regulating valves (remote self-regulating valves A and B) that control the steam usage in the reboilers are control nodes.

[0021] S200: traverse the process flow PID diagram to determine the energy type of each control node, cluster the fluctuation range based on the energy type, create a monitoring tree corresponding to the energy type, and divide the monitoring tree into three parts: left, middle and right, synchronize the fluctuation range to the left part, read the real-time valve position of the control node through the DCS central control system, and migrate the real-time valve position to the right part of the monitoring tree.

[0022] Determine the energy type corresponding to each control node, where the energy type is steam, electricity or circulating water, etc., and classify the fluctuation range according to the different energy types; create a monitoring tree for each energy type, where the monitoring tree is a tree data structure. The monitoring tree can be regarded as a variant of the decision tree in the prior art. Its core idea is similar to that of the decision tree, that is, processing data in a hierarchical manner.

[0023] When the real-time valve position in the right part of the monitoring tree exceeds the fluctuation range in the left part, the monitoring tree will tilt to intuitively display the abnormal energy consumption; the monitoring tree is divided into three parts: the left part, the middle part and the right part, the left part is the fluctuation range, and the right part is the real-time valve position; specifically, the root of the monitoring tree is the middle part, the left side of the middle part is the left part, the left part is mainly used to deploy the fluctuation range, and the right side of the middle part is the right part, which is used to display the real-time valve position.

[0024] based on Figure 1 The chemical production system shown in the figure creates Figure 2 The monitoring tree shown in the figure; for example, in the normal production process, the temperature of the distillation tower kettle needs to be maintained at 120℃-150℃. In the process of maintaining this temperature, the main control personnel need to continuously adjust the remote self-regulating valve A, read the operation log from the DCS central control system, and determine that the valve position of the remote self-regulating valve A is opened to a minimum of 62% and a maximum of 80%. The fluctuation range of the remote self-regulating valve A is 62%-80%; similarly, the fluctuation range of the remote self-regulating valve B is determined to be 35%-50%; at a certain moment, the real-time valve positions of the remote self-regulating valve A and the remote self-regulating valve B are 77% and 20% respectively.

[0025] In the actual production process, due to changes in feed volume, tower pressure, etc., the temperature inside the tower is bound to be in dynamic change. This requires the main control personnel to adjust the steam feed volume in the reboiler by controlling the remote self-adjusting valve to stabilize the temperature inside the tower. In other words, in normal production, the temperature inside the tower is bound to fluctuate within a certain range, which is the standard operating condition.

[0026] S300: configuring a corresponding relationship between the real-time valve position and the fluctuation range, defining a control node whose real-time valve position exceeds the fluctuation range as an abnormal node, and tilting the monitoring tree.

[0027] If the real-time range exceeds the fluctuation range, the control node corresponding to the fluctuation range is determined as an abnormal node, where the abnormal node is the control node with abnormal energy consumption; the tilted monitoring tree is mainly used to highlight the abnormal node.

[0028] S400: superimposing the real-time valve position of each monitoring tree to obtain the total valve position, and drawing a change trend graph with the current time as the horizontal coordinate and the total valve position as the vertical coordinate.

[0029] During the energy consumption analysis process, all real-time valve positions are superimposed to determine the total valve position. The larger the total valve position, the greater the energy consumption. In other words, by utilizing this feature, the change in energy consumption can be determined through simple superposition.

[0030] In Example 2, Figure 4 The implementation process of the smart energy consumption analysis method provided by the embodiment of the present invention is shown. The steps of drawing the process flow PID diagram, marking the energy consuming equipment, locating the control nodes of the energy consuming equipment, and defining the standard working conditions are described in detail as follows: S101: Establishing a correspondence between the control nodes and energy-consuming devices, wherein one of the energy-consuming devices corresponds to at least one control node.

[0031] An energy-consuming device corresponds to at least one control node; for example, a reaction tank uses steam to heat the material in its bottom and uses circulating cold water to cool the gas phase in the top of the tower. The devices that control the steam and circulating cold water are control nodes, and the energy-consuming device corresponds to two control nodes.

[0032] S102: Read out the equipment parameters of the DCS central control system, and determine whether the equipment parameters are out of standard based on preset evaluation rules. If not, define the equipment parameters as standard working conditions.

[0033] The DCS central control system is used to read out the equipment parameters of energy-consuming equipment, control nodes and other equipment. Each equipment parameter corresponds to an indicator, which is formulated by professionals based on actual production requirements and design specifications. The evaluation rule is the indicator corresponding to each equipment parameter. If the equipment parameter exceeds the range corresponding to the indicator, the equipment parameter is out of standard. If all equipment parameters are not out of standard, the current production system is defined as a standard operating condition.

[0034] Continuing to elaborate on the example in S200, the real-time valve position of the remote self-regulating valve B exceeds the corresponding fluctuation range, that is, the remote self-regulating valve B is out of standard, where the de-standardization is not limited to the valve position, but also includes the temperature of electrical equipment, the temperature and pressure of tower equipment, etc.; for example, the normal working temperature of a pressure pump is 55℃-60℃, but at this time, the temperature of the pressure pump is 62℃, and it is also out of standard. The evaluation rule is the normal working temperature mentioned above, and the evaluation rule should be formulated by professionals according to the actual working conditions of the chemical production system.

[0035] In Example 3, Figure 4 The implementation process of the smart energy consumption analysis method provided by the embodiment of the present invention is shown. The steps of reading the valve position of the control node through the preset DCS central control system and configuring the fluctuation range of the valve position under the standard working condition are described in detail as follows: S103: extracting a snapshot under the standard working condition from the DCS central control system, and embedding a timestamp into the snapshot.

[0036] From the DCS central control system, take a snapshot under standard working conditions, record the capture time of the snapshot, use the capture time to generate a timestamp, and integrate the timestamp into the snapshot.

[0037] S104: Integrate all snapshots, generate an archive set, and traverse the fluctuation range of each device parameter.

[0038] All snapshots are integrated to obtain an archive set, and the maximum and minimum values ​​of each identical device parameter in the archive set are extracted to construct a fluctuation range. If the real-time valve position of a control node exceeds the fluctuation range, it means that the energy-consuming equipment has abnormal energy consumption and needs to be troubleshooted or analyzed in detail.

[0039] In this embodiment, the snapshot is similar to a screenshot, and the timestamp is similar to a watermark, and the snapshot with the timestamp is stored in a preset storage device; wherein the collection of snapshots is also an archive collection, and the integration mentioned above means migrating the snapshots to the same storage device.

[0040] In Example 4, Figure 5 The implementation process of the smart energy consumption analysis method provided by the embodiment of the present invention is shown. The following is a detailed description of the steps of traversing the process PID diagram, determining the energy type of each control node, clustering the fluctuation range based on the energy type, and creating a monitoring tree corresponding to the energy type one by one, as follows: S201: In the process PID diagram, energy pipelines are marked, and energy types are traced back to establish a mapping of energy types, control nodes, fluctuation ranges, and real-time valve positions.

[0041] According to the initial point of the energy pipeline, the energy production equipment is found and the energy type is determined; each control node corresponds to a unique energy type, fluctuation range and real-time valve position.

[0042] S202: Inserting a tag generated by energy type into the monitoring tree.

[0043] Each monitoring tree corresponds to an energy type. By inserting tags, the monitoring object of the monitoring tree can be displayed more clearly, so that abnormal energy-consuming equipment can be located more quickly and the decision-making process can be accelerated.

[0044] The above labels should at least include: energy type, corresponding energy-consuming equipment, etc. (such as Figure 2 (as shown in the label).

[0045] In Example 5, Figure 5 The implementation process of the smart energy consumption analysis method provided by the embodiment of the present invention is shown. The following is a detailed description of the steps of dividing the monitoring tree into three parts: left, middle and right, synchronizing the fluctuation range to the left part, reading the real-time valve position of the control node through the DCS central control system, and transferring the real-time valve position to the right part of the monitoring tree, as follows: S203: Embed a balance factor into the middle of the monitoring tree, and readjust the monitoring tree.

[0046] S204: Traverse out the influencing factors of the balance factor, wherein the influencing factors at least include: output and environment.

[0047] Insert a balance factor into the middle of the monitoring tree, where the balance factor is mainly used to restore the balance. In the actual production process, the factors that cause energy consumption to exceed the fluctuation range include not only abnormal energy consumption, but also changes in output and environment. For example, when overload production is carried out, the energy consumption of energy-consuming equipment will inevitably exceed the fluctuation range corresponding to the normal load.

[0048] exist Figure 2 In the example, since the real-time valve position of the remote self-regulating valve B is 20%, which is beyond the fluctuation range, the monitoring tree will tilt to the right, and the tilt is similar to the falling of a tree in nature; however, due to the existence of the balance factor, the monitoring tree needs to be readjusted, and readjustment means readjustment; specifically, although the remote self-regulating valve B exceeds the fluctuation range, the cause of its fluctuation may be fluctuation in feed volume, output or environment, etc., and there is no abnormality in the production system, so there is no need to tilt the monitoring tree; in this embodiment, the advantage of tilting the monitoring tree is that it can intuitively display the abnormality of the production system.

[0049] In Example 6, Figure 6The implementation process of the smart energy consumption analysis method provided by the embodiment of the present invention is shown. The following is a detailed description of the steps of configuring the corresponding relationship between the real-time valve position and the fluctuation range, defining the control node whose real-time valve position exceeds the fluctuation range as an abnormal node, and tilting the monitoring tree, as follows: S301: configuring the linkage relationship between the real-time valve positions and correcting the abnormal nodes.

[0050] When the real-time valve position of a control node changes, it may cause the real-time valve position of another control node to change accordingly. In this case, there is a linkage relationship between the two. Based on practical experience, it can be seen that not every control node has a linkage relationship. If there is a linkage relationship between the abnormal nodes, when one of the real-time valve positions changes, it is determined whether the other real-time valve position has changed. If it has not changed, it means that the abnormal node may have an abnormal instrument display, equipment failure, etc.

[0051] S302: Determine whether the real-time valve position is greater than a preset threshold value, and if so, initiate a preset emergency processing rule.

[0052] If the real-time valve position is greater than the preset threshold, it means that the current production system is in a fluctuating state, and the emergency processing rules need to be activated. The emergency processing rules include: adjusting the on-site manual valve by on-site personnel and sending alarm information to the central control personnel.

[0053] In Example 7, Figure 7 The implementation process of the smart energy consumption analysis method provided by the embodiment of the present invention is shown. The following is a detailed description of the steps of superimposing the real-time valve position of each monitoring tree to obtain the total valve position, taking the current time as the horizontal coordinate and the total valve position as the vertical coordinate to draw a change trend diagram, as follows: S401: Integrate all monitoring trees, generate a monitoring forest, and integrate the monitoring mechanism.

[0054] All monitoring trees are integrated to obtain a monitoring forest, wherein the monitoring forest can monitor all energy types in the production system; a monitoring mechanism is integrated into the monitoring forest, wherein the monitoring mechanism traverses all monitoring trees in sequence according to a preset frequency.

[0055] Figure 2 The monitoring tree in Figure 1 The production system shown is actually more complex, so it is necessary to create multiple monitoring trees. The collection of multiple monitoring trees is called a monitoring forest.

[0056] S402: Count the total output of each monitoring tree, take the current time as the horizontal axis and the total output as the vertical axis, generate a change curve graph, and integrate it into the change trend graph.

[0057] S403: Determine whether there is a correlation between the change curve graph and the change trend graph. If not, find out abnormal items in the monitoring forest.

[0058] Count the total output of each monitoring tree (energy type) and draw a change curve. The change curve and the change trend chart should show a positive correlation. The change trend chart is the energy consumption, and the change curve is the energy production. Under normal circumstances, the two will change synchronously; if there is no positive correlation between the two, it means that there is abnormal energy consumption; in other words, excluding the loss, when the total energy consumption is much greater than the energy produced, it means that a certain energy device may be abnormal and energy leakage may occur.

[0059] Figure 8 The following is a structural block diagram of a smart energy consumption analysis system according to an embodiment of the present invention. The smart energy consumption analysis system 1 includes: Configuration module 11 is used to draw a process flow PID diagram, mark the energy-consuming equipment, locate the control nodes of the energy-consuming equipment, define the standard working conditions, read the valve position of the control node through the preset DCS central control system, and configure the fluctuation range of the valve position under the standard working conditions; A migration module 12 is used to traverse the process PID diagram, determine the energy type of each control node, cluster the fluctuation range based on the energy type, create a monitoring tree corresponding to the energy type, and divide the monitoring tree into three parts: left, middle and right, synchronize the fluctuation range to the left part, read the real-time valve position of the control node through the DCS central control system, and migrate the real-time valve position to the right part of the monitoring tree; A tilting module 13 is used to configure the corresponding relationship between the real-time valve position and the fluctuation range, define the control node whose real-time valve position exceeds the fluctuation range as an abnormal node, and tilt the monitoring tree; The drawing module 14 is used to superimpose the real-time valve position of each monitoring tree to obtain the total valve position, and draw a change trend diagram with the current time as the horizontal coordinate and the total valve position as the vertical coordinate.

[0060] Fig. 9 The structure diagram of the smart energy consumption analysis system provided by the embodiment of the present invention is shown, and the configuration module 11 includes: An establishing unit 111 is used to establish a correspondence between the control node and the energy consuming device, wherein one of the energy consuming devices corresponds to at least one control node; A definition unit 112 is used to read out the equipment parameters of the DCS central control system, and determine whether the equipment parameters are out of standard based on a preset evaluation rule. If not, define the equipment parameters as standard working conditions; The embedding unit 113 is used to intercept the snapshot under the standard working condition from the DCS central control system and embed a timestamp into the snapshot; The archive unit 114 is used to integrate all snapshots, generate an archive set, and traverse the fluctuation range of each of the device parameters.

[0061] Fig.10 The structure diagram of the smart energy consumption analysis system provided by the embodiment of the present invention is shown, and the migration module 12 includes: A mapping unit 121 is used to mark the energy pipeline in the process PID diagram, trace back the energy type, and establish a mapping of the energy type, fluctuation range and real-time valve position; An inserting unit 122, configured to insert a tag generated by an energy type into the monitoring tree; A readjustment unit 123, configured to embed a balance factor into the middle of the monitoring tree and readjust the monitoring tree; The traversal unit 124 is used to traverse the influencing factors of the balance factor, wherein the influencing factors at least include: output and environment.

[0062] Fig.11 The structure diagram of the smart energy consumption analysis system provided by the embodiment of the present invention is shown, and the tilt module 13 includes: A configuration unit 131, configured to configure the linkage relationship between the real-time valve positions and correct the abnormal nodes; The judgment unit 132 is used to judge whether the real-time valve position is greater than a preset threshold value, and if so, to start a preset emergency processing rule.

[0063] Fig.12 The structure block diagram of the smart energy consumption analysis system provided by the embodiment of the present invention is shown, and the drawing module 14 includes: An integration unit 141 is used to integrate all monitoring trees, generate a monitoring forest, and integrate the monitoring mechanism; The statistical unit 142 is used to calculate the total output of each monitoring tree, with the current time as the horizontal axis and the total output as the vertical axis, generate a change curve graph, and integrate it into the change trend graph; The search unit 143 is used to determine whether there is a correlation between the change curve graph and the change trend graph, and if not, to find out abnormal items in the monitoring forest.

[0064] The configuration module 11 is mainly used to complete step S100, the migration module 12 is mainly used to complete step S200, the tilting module 13 is mainly used to complete step S300, and the drawing module 14 is mainly used to complete step S400; The establishing unit 111 is mainly used to complete step S101, the defining unit 112 is mainly used to complete step S102, the embedding unit 113 is mainly used to complete step S103, and the archiving unit 114 is mainly used to complete step S104; The mapping unit 121 is mainly used to complete step S201, the inserting unit 122 is mainly used to complete step S202, the readjusting unit 123 is mainly used to complete step S203, and the traversing unit 124 is mainly used to complete step S204; The configuration unit 131 is mainly used to complete step S301, and the determination unit 132 is mainly used to complete step S302; The integration unit 141 is mainly used to complete step S401, the statistical unit 142 is mainly used to complete step S402, and the search unit 143 is mainly used to complete step S403.

[0065] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0066] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0067] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A smart energy consumption analysis method, characterized in that: The method comprises: Draw the process PID diagram, mark the energy-consuming equipment, locate the control nodes of the energy-consuming equipment, define the standard working conditions, read the valve position of the control node through the preset DCS central control system, and configure the fluctuation range of the valve position under the standard working conditions; Traversing the process PID diagram, determining the energy type of each control node, clustering the fluctuation range based on the energy type, creating a monitoring tree corresponding to the energy type, and dividing the monitoring tree into three parts: left, middle and right. Synchronizing the fluctuation range to the left part, reading the real-time valve position of the control node through the DCS central control system, and migrating the real-time valve position to the right part of the monitoring tree; The corresponding relationship between the real-time valve position and the fluctuation range is configured, the control node whose real-time valve position exceeds the fluctuation range is defined as an abnormal node, and the monitoring tree is tilted; The real-time valve positions of each monitoring tree are superimposed to obtain the total valve position, and a change trend diagram is drawn with the current time as the horizontal coordinate and the total valve position as the vertical coordinate.

2. The smart energy consumption analysis method according to claim 1 is characterized in that: The steps of drawing a process flow PID diagram, marking energy-consuming equipment, locating control nodes of the energy-consuming equipment, and defining standard working conditions include: Establishing a correspondence between the control nodes and the energy consuming devices, wherein one of the energy consuming devices corresponds to at least one control node; The device parameters of the DCS central control system are read out, and based on a preset evaluation rule, it is determined whether the device parameters are out of standard. If not, the device parameters are defined as standard working conditions.

3. The smart energy consumption analysis method according to claim 2 is characterized in that: The step of reading the valve position of the control node through the preset DCS central control system and configuring the fluctuation range of the valve position under standard working conditions includes: From the DCS central control system, extract a snapshot under the standard working condition, and embed a timestamp into the snapshot; All snapshots are integrated to generate an archive set, and the fluctuation range of each device parameter is traversed.

4. The smart energy consumption analysis method according to claim 1 is characterized in that: The step of traversing the process PID diagram, determining the energy type of each control node, clustering the fluctuation range based on the energy type, and creating a monitoring tree corresponding to the energy type includes: In the process PID diagram, the energy pipeline is marked, and the energy type is traced back to establish a mapping of energy type, control node, fluctuation range and real-time valve position; Inserting tags generated by energy types into the monitoring tree.

5. The smart energy consumption analysis method according to claim 4 is characterized in that: The steps of dividing the monitoring tree into three parts: left, middle and right, synchronizing the fluctuation range to the left part, reading the real-time valve position of the control node through the DCS central control system, and transferring the real-time valve position to the right part of the monitoring tree include: Embedding a balance factor into the middle of the monitoring tree and re-adjusting the monitoring tree; The influencing factors of the balance factor are traversed, wherein the influencing factors at least include: output and environment.

6. The smart energy consumption analysis method according to claim 1 is characterized in that: The steps of configuring the corresponding relationship between the real-time valve position and the fluctuation range, defining the control node where the real-time valve position exceeds the fluctuation range as an abnormal node, and tilting the monitoring tree include: configuring the linkage relationship between the real-time valve positions and correcting the abnormal nodes; It is determined whether the real-time valve position is greater than a preset threshold value, and if so, a preset emergency processing rule is initiated.

7. The smart energy consumption analysis method according to claim 1 is characterized in that: The step of superimposing the real-time valve position of each monitoring tree to obtain the total valve position, taking the current time as the horizontal coordinate and the total valve position as the vertical coordinate, and drawing a change trend diagram comprises: Integrate all monitoring trees to generate a monitoring forest and integrate monitoring mechanisms; Count the total output of each monitoring tree, take the current time as the horizontal axis and the total output as the vertical axis, generate a change curve graph, and integrate it into the change trend graph; Determine whether there is a correlation between the change curve graph and the change trend graph. If not, find out the abnormal items in the monitoring forest.

8. A smart energy consumption analysis system, characterized in that: The system comprises: The configuration module is used to draw the process PID diagram, mark the energy-consuming equipment, locate the control nodes of the energy-consuming equipment, define the standard working conditions, read the valve position of the control node through the preset DCS central control system, and configure the fluctuation range of the valve position under the standard working conditions; A migration module is used to traverse the process PID diagram, determine the energy type of each control node, cluster the fluctuation range based on the energy type, create a monitoring tree corresponding to the energy type, and divide the monitoring tree into three parts: left, middle and right. The fluctuation range is synchronized to the left part, and the real-time valve position of the control node is read through the DCS central control system, and the real-time valve position is migrated to the right part of the monitoring tree; A tilting module, used to configure the corresponding relationship between the real-time valve position and the fluctuation range, define the control node whose real-time valve position exceeds the fluctuation range as an abnormal node, and tilt the monitoring tree; The drawing module is used to superimpose the real-time valve position of each monitoring tree to obtain the total valve position, and draw a change trend diagram with the current time as the horizontal coordinate and the total valve position as the vertical coordinate.

9. The smart energy consumption analysis system according to claim 8, characterized in that: The configuration module includes: An establishing unit, used to establish a correspondence between the control nodes and the energy consuming devices, wherein one of the energy consuming devices corresponds to at least one control node; A definition unit, used to read out the equipment parameters of the DCS central control system, and determine whether the equipment parameters are out of standard based on a preset evaluation rule, and if not, define the equipment parameters as standard working conditions; An embedding unit, used to intercept a snapshot under the standard working condition from the DCS central control system, and embed a timestamp into the snapshot; The archive unit is used to integrate all snapshots, generate an archive set, and traverse the fluctuation range of each device parameter.

10. The smart energy consumption analysis system according to claim 8, characterized in that: The migration module includes: A mapping unit is used to mark the energy pipeline in the process PID diagram, trace back the energy type, and establish a mapping of energy type, control node, fluctuation range and real-time valve position; An inserting unit, configured to insert a tag generated by an energy type into the monitoring tree; A readjustment unit, configured to embed a balance factor into the middle of the monitoring tree and readjust the monitoring tree; The traversal unit is used to traverse the influencing factors of the balance factor, wherein the influencing factors at least include: output and environment.

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