Equipment monitoring graph generation method and device and computer equipment

Abstract

The invention relates to an equipment monitoring graph generation method, device and equipment. The method comprises the following steps: acquiring a source equipment graphic file of the same equipment type as to-be-processed equipment; acquiring a plurality of first equipment measuring points from the source equipment graphic file, and acquiring first equipment information of the source equipment and first measuring point information of each first equipment measuring point from the centralized control system; acquiring second equipment information of the to-be-processed equipment and second measuring point information of each second equipment measuring point contained in the to-be-processed equipment from the centralized control system; based on the first equipment information and the second equipment information, acquiring target source equipment matched with the to-be-processed equipment from the source equipment, and based on each piece of first measuring point information and each piece of second measuring point information, acquiring an association relationship between each first equipment measuring point and each second equipment measuring point contained in the target source equipment; and processing the source device graphic file of the target source device according to the association relationship to obtain a graphic file of the to-be-processed device. The method can improve the graph generation efficiency.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular, to a method, an apparatus, and a computer device for generating a device monitoring graph. Background Art

[0002] A power centralized control system usually needs to monitor the operating states of a large number of wind turbines, photovoltaic devices, and energy storage devices in real time. Its device monitoring graphs are stored and displayed based on files in SVG (Scalable Vector Graphics) format. The current technology requires one-to-one manual configuration for all SVG graphs facing devices to obtain new SVG graph files.

[0003] There are generally hundreds or thousands of SVG graph files of wind-solar storage devices and intervals in the centralized control system. However, in the existing solutions, manual operations are used, and the generation efficiency of device monitoring graphs is low. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide a method, an apparatus, and a computer device for generating a device monitoring graph with high efficiency.

[0005] In a first aspect, the present application provides a method for generating a device monitoring graph, including:

[0006] Obtaining a source device graph file associated with a device to be processed; the source device graph file is a graph file corresponding to a source device of the same device type as the device to be processed;

[0007] Obtaining a plurality of first device measurement points included in the source device from the source device graph file, obtaining first device information of the source device from the centralized control system, and first measurement point information of each of the first device measurement points;

[0008] Obtaining second device information of the device to be processed from the centralized control system, and second measurement point information of each second device measurement point included in the device to be processed;

[0009] Based on the first device information and the second device information, obtaining a target source device matching the device to be processed from the source device, and based on the first measurement point information and the second measurement point information, obtaining each of the first device measurement points included in the target source device, and the association relationship between each of the second device measurement points;

[0010] Processing the source device graph file of the target source device according to the association relationship to obtain a graph file of the device to be processed.

[0011] In one embodiment, obtaining a target source device matching the device to be processed from the source devices based on the first device information and the second device information includes:

[0012] Sorting the source devices according to the first device information of each source device in terms of the size of text and numbers to obtain a list of source devices;

[0013] Sorting the devices to be processed according to the second device information of each device to be processed in terms of the size of text and numbers to obtain a list of devices to be processed;

[0014] Determining the corresponding relationship between each source device and each device to be processed according to the list of source devices and the list of devices to be processed, and obtaining a target source device matching the device to be processed from the source devices according to the corresponding relationship.

[0015] In one embodiment, the measurement point information includes a measurement type and a measurement point description. The measurement type is used to characterize the type of the device measurement point, and the measurement point description is a text description of the device measurement point; the first measurement point information includes a first measurement type and a first measurement point description; the second measurement point information includes a second measurement type and a second measurement point description; obtaining the association relationship between each first device measurement point and each second device measurement point included in the target source device based on each first measurement point information and each second measurement point information includes:

[0016] Obtaining the association relationship between each first device measurement point and each second device measurement point included in the target source device based on each first measurement type and each second measurement type, or based on each first measurement point description and each second measurement point description.

[0017] In one embodiment, obtaining the association relationship between each first device measurement point and each second device measurement point included in the target source device based on each first measurement type and each second measurement type includes:

[0018] When the first measurement type and the second measurement type are the same, determining the association relationship between the first device measurement point corresponding to the first measurement type and the second device measurement point corresponding to the second measurement type.

[0019] In one embodiment, obtaining the association relationship between each first device measurement point and each second device measurement point included in the target source device based on each first measurement point description and each second measurement point description includes:

[0020] Sort the first device measurement points according to the text descriptions in each of the first measurement point descriptions, in accordance with the text size and the number size, to obtain a list of first device measurement points;

[0021] Sort the second device measurement points according to the text descriptions in each of the second measurement point descriptions, in accordance with the text size and the number size, to obtain a list of second device measurement points;

[0022] Determine the association relationships between each of the first device measurement points and each of the second device measurement points according to the list of first device measurement points and the list of second device measurement points.

[0023] In one embodiment, the determining the association relationships between each of the first device measurement points and each of the second device measurement points according to the list of first device measurement points and the list of second device measurement points includes:

[0024] When the text descriptions corresponding to the first device measurement points and the text descriptions corresponding to the second device measurement points in the same list order are consistent, determine the association relationships between the first device measurement points and the second device measurement points.

[0025] In one embodiment, the determining the association relationships between each of the first device measurement points and each of the second device measurement points according to the list of first device measurement points and the list of second device measurement points includes:

[0026] When the text descriptions corresponding to the first device measurement points and the text descriptions corresponding to the second device measurement points in the same list order are inconsistent, remove the numbers and connectors in the text descriptions corresponding to the first device measurement points and the text descriptions corresponding to the second device measurement points. When the text descriptions corresponding to the first device measurement points after removing the numbers and connectors and the text descriptions corresponding to the second device measurement points after removing the numbers and connectors are consistent, determine the association relationships between the first device measurement points and the second device measurement points.

[0027] In one embodiment, the method further includes:

[0028] Obtain the container to which the first device measurement point belongs;

[0029] When the container contains intervals, construct a tree structure including intervals, devices, and measurement points, and display it;

[0030] When the container does not contain intervals, construct a tree structure including devices and measurement points, and display it.

[0031] In a second aspect, the present application further provides a device monitoring graph generation device, including:

[0032] A graph file acquisition module, configured to acquire a source device graph file associated with a device to be processed; the source device graph file is a graph file corresponding to a source device of the same device type as the device to be processed;

[0033] A first information acquisition module, configured to acquire a plurality of first device measurement points included in the source device from the source device graph file, and acquire first device information of the source device and first measurement point information of each of the first device measurement points from a centralized control system;

[0034] A second information acquisition module, configured to acquire second device information of the device to be processed and second measurement point information of each second device measurement point included in the device to be processed from the centralized control system;

[0035] An association relationship acquisition module, configured to, based on the first device information and the second device information, acquire a target source device that matches the device to be processed from the source device, and based on each of the first measurement point information and each of the second measurement point information, acquire an association relationship between each of the first device measurement points included in the target source device and each of the second device measurement points;

[0036] A graph file generation module, configured to process the source device graph file of the target source device according to the association relationship to obtain a graph file of the device to be processed.

[0037] In a third aspect, the present application further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the steps of the method described in the first aspect are implemented.

[0038] The above-mentioned device monitoring graph generation method, device and computer device acquire a source device graph file associated with a device to be processed, obtain first device measurement points of the source device from the source device graph file, acquire first device information, first measurement point information, second device information and second measurement point information of the device to be processed from a centralized control system, acquire a target source device that matches the device to be processed based on the first device information and the second device information, acquire an association relationship between each of the first device measurement points and each of the second device measurement points based on each of the first measurement point information and each of the second measurement point information, and quickly adjust the source device graph file according to the acquired association relationship, shortening the time for generating a monitoring graph for the device to be processed. Especially in a scenario where a large number of devices of the same type need to generate monitoring graphs, it avoids the cumbersome process of re-creating monitoring graphs for each device to be processed, and improves the generation efficiency of device monitoring graphs. Description of the Drawings

[0039] To more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0040] Figure 1 It is a schematic flowchart of a method for generating a device monitoring graph in an embodiment;

[0041] Figure 2 It is a schematic flowchart of a process for obtaining a target source device matching a device to be processed in an embodiment;

[0042] Figure 3 It is a schematic flowchart of a process for determining the association relationship between each first device measurement point and each second device measurement point in an embodiment;

[0043] Figure 4 It is a structural block diagram of a device monitoring graph generation device in an embodiment;

[0044] Figure 5 It is an internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0045] In order to make the purpose, technical solutions and advantages of the present application clearer, the following further details the present application in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0046] The power centralized control system usually needs to monitor the operating states of a large number of wind turbines, photovoltaic devices, and energy storage devices in real time. Its device monitoring graphs are stored and displayed based on SVG format files. The current solution requires one-to-one manual configuration for all device-oriented SVG graphs. For different wind / solar / storage devices of the same model or different intervals under the same voltage level, the content of the SVG graph files is basically the same, only the devices / remote measurement points / remote signal points to be displayed are different. The existing solution is as follows: make an SVG graph file, after associating the first device measurement point, copy the file, then open the copied file for manual modification, and manually replace all the devices / remote measurement points / remote signal points in the original SVG graph file to obtain a new SVG graph file. However, the existing solution uses manual maintenance, which takes a long time, has a high labor cost, and there is a risk of errors when manually searching for measurement points. Therefore, in order to improve the generation efficiency of the new SVG graph file and reduce costs, there is an urgent need for a method for generating a device monitoring graph that can efficiently generate SVG graph files.

[0047] In one embodiment, as Figure 1 shown, a method for generating a device monitoring graph is provided. In this embodiment, the method is exemplified by being applied to a terminal. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0048] Step S102, obtain a source device graph file associated with the device to be processed; the above source device graph file is a graph file corresponding to a source device of the same device type as the above device to be processed.

[0049] Among them, the graph file can include a file in SVG format, which can be used to configure and display the device monitoring graph in the centralized control system. The centralized control system can refer to a power system for real-time monitoring of devices such as wind turbines, photovoltaic devices, and energy storage devices, and can store device model data (such as device results, measuring point information of device measuring points, etc.).

[0050] Among them, the device to be processed can refer to a newly added device to be monitored in the centralized control system. Therefore, a newly added device to be monitored needs to produce a graph file for device monitoring; the device to be processed can also refer to a monitored device to be maintained in the centralized control system. Therefore, the currently existing graph file of the monitored device to be maintained may be damaged and needs to be maintained and updated.

[0051] Among them, being of the same type as the device to be processed can mean that the device type of the source device is the same as that of the device to be processed. For example, if the device to be processed is the 2# interval, then the device type of the device to be processed is an interval. Then, determine the source device associated with the interval from multiple source devices (such as the 1# interval, 3# interval, etc.), and obtain its graph file as the source device graph file associated with the device to be processed; another example is that if the device to be processed is the fan collector line 3, then the device type of the device to be processed is the fan collector line. Then, the source device associated with the fan collector line can be determined from multiple source devices (such as fan collector line 1, fan collector line 2, etc.), and its graph file is obtained as the source device graph file associated with the device to be processed.

[0052] Exemplarily, the terminal can determine the source device of the same type as the device to be processed from the centralized control system, and then obtain the source device graph file associated with the device to be processed.

[0053] Step S104, obtain multiple first device measuring points included in the above source device from the above source device graph file, and obtain the first device information of the above source device and the first measuring point information of each of the above first device measuring points from the centralized control system.

[0054] Among them, the graphic file may also include the measurement point identifiers of each device measurement point; the device measurement points may refer to the remote measurement points and remote signal points in the centralized control system. The remote measurement points may refer to the points for collecting and monitoring various operating parameters of the device through remote measurement technology, and are used to reflect analog quantity information such as the operating state and performance of the device; the remote signal points are the points for remotely obtaining the state signals of the device, and are used to reflect discrete quantity information such as the switch state and position state of the device. The first device measurement points may refer to multiple device measurement points obtained from the source device graphic file, the first device information may refer to the device information of multiple devices included under the source device, and the first measurement point information may refer to the measurement point information corresponding to the first device measurement points.

[0055] Exemplarily, the terminal obtains each device measurement point included in the source device from the source device graphic file as the first device measurement points, then can find the source device in the centralized control system and obtain the corresponding first device information, and then can find the first device measurement points in the centralized control system according to the first device measurement points and obtain the corresponding first measurement point information.

[0056] Step S106, obtain the second device information of the to-be-processed device from the above-mentioned centralized control system, and the second measurement point information of each second device measurement point included in the to-be-processed device.

[0057] Among them, the second device information may refer to the device information of multiple devices included under the to-be-processed device; the second measurement point information may refer to the measurement point information of each second device measurement point included in the to-be-processed device.

[0058] Exemplarily, the terminal obtains the second device information of the to-be-processed device from the centralized control system, and obtains the second measurement point information of each second device measurement point included in the to-be-processed device from the centralized control system.

[0059] Step S108, based on the above-mentioned first device information and the second device information, obtain a target source device that matches the to-be-processed device from the above-mentioned source device, and based on each of the above-mentioned first measurement point information and each of the above-mentioned second measurement point information, obtain each of the above-mentioned first device measurement points included in the target source device, and the association relationship between each of the above-mentioned second device measurement points.

[0060] Among them, the target source device may refer to the target source device that is determined to match the to-be-processed device from the source device according to the first device information that is determined to match according to the second device information. The association relationship may refer to the mapping rule between each first device measurement point included in the target source device and each second device measurement point included in the to-be-processed device, and the device measurement points that are mapped to each other represent that the functions of the device measurement points are the same.

[0061] Exemplarily, the terminal determines the first device information that matches the second device information based on the first device information and the second device information, and then uses the source device corresponding to the matched first device information as the target source device that matches the device to be processed; the terminal determines the first measurement point information that matches the second measurement point information based on the first measurement point information and the second measurement point information, and then correspondingly obtains the association relationship between the second device measurement point and the first device measurement point according to the second measurement point information and the matched first measurement point information.

[0062] Step S110, process the source device graphic file of the above target source device according to the above association relationship to obtain the graphic file of the above device to be processed.

[0063] Among them, processing the source device graphic file of the above target source device according to the above association relationship may refer to combining the relevant information of the device to be processed with the source device graphic file of the target source device according to the association relationship to obtain the graphic file corresponding to the device to be processed.

[0064] Exemplarily, the terminal processes the source device graphic file of the target source device according to the association relationship to obtain the graphic file of the device to be processed.

[0065] In the above method for generating the device monitoring graphic, by obtaining the source device graphic file associated with the device to be processed, obtaining the first device measurement points of the source device from the source device graphic file, obtaining the first device information, the first measurement point information, the second device information, and the second measurement point information of the device to be processed from the centralized control system, and obtaining the target source device that matches the device to be processed based on the first device information and the second device information, obtaining the association relationship between each first device measurement point and each second device measurement point based on each first measurement point information and each second measurement point information, and quickly adjusting the source device graphic file according to the obtained association relationship, the time for generating the monitoring graphic of the device to be processed is shortened. Especially in the scenario where a large number of devices of the same type need to generate monitoring graphics, the cumbersome process of re-creating the monitoring graphic for each device to be processed is avoided, and the generation efficiency of the device monitoring graphic is improved.

[0066] In an exemplary embodiment, the above processing the source device graphic file of the above target source device according to the above association relationship to obtain the graphic file of the above device to be processed may include the steps: corresponding to replace each of the above first device measurement points in the above source device graphic file with each of the above second device measurement points according to the above association relationship to obtain the graphic file of the above device to be processed.

[0067] Exemplarily, the terminal may correspondingly replace each of the first device measurement points in the source device graphic file with each of the second device measurement points according to each of the first device measurement points included in the target source device and the association relationship between each of the second device measurement points to obtain the graphic file of the device to be processed.

[0068] In this embodiment, by taking the source device graphic file and only replacing the measurement points in the source device graphic file through the association relationship, the graphic file of the device to be processed can be quickly obtained, improving the generation efficiency of the graphic file for the device to be processed. In addition, since only the measurement points are replaced, the consistency of the graphic expression elements in the graphic file can be ensured.

[0069] In an exemplary embodiment, as Figure 2 shown, based on the above first device information and the above second device information, obtaining the target source device matching the device to be processed from the above source device includes steps S202 to step S206. Among them:

[0070] Step S202, according to the above first device information of each of the above source devices, sort each of the above source devices according to the text size and the number size to obtain a source device list.

[0071] Step S204, according to the above second device information of each of the above devices to be processed, sort each of the above devices to be processed according to the text size and the number size to obtain a list of devices to be processed.

[0072] Step S206, according to the above source device list and the above list of devices to be processed, determine the corresponding relationship between each of the above source devices and each of the above devices to be processed, and obtain the target source device matching the above device to be processed from the above source device according to the above corresponding relationship.

[0073] Among them, the text size may refer to the size of the text part of the string corresponding to the device information; the number size may refer to the size of the number part of the string corresponding to the device information; the size of the string may be determined according to the size of the encoding value corresponding to the string.

[0074] For example, each source device may include Fan Box Transformer 2, Fan Box Transformer 1, Fan Box Transformer 4, Fan Box Transformer 3. Sorting according to the text size and the number size can obtain Fan Box Transformer 1, Fan Box Transformer 2, Fan Box Transformer 3, Fan Box Transformer 4, that is, obtaining the source device list; each device to be processed may include Fan Box Transformer 5, Fan Box Transformer 8, Fan Box Transformer 7, Fan Box Transformer 6. Sorting according to the text size and the number size can obtain Fan Box Transformer 5, Fan Box Transformer 6, Fan Box Transformer 7, Fan Box Transformer 8, that is, the list of devices to be processed; then according to the above source device list and the list of devices to be processed, it can be determined that Fan Box Transformer 1 corresponds to Fan Box Transformer 5, that is, the target source device matching Fan Box Transformer 5 in the device to be processed is Fan Box Transformer 1, the target source device matching Fan Box Transformer 6 is Fan Box Transformer 2, the target source device matching Fan Box Transformer 7 is Fan Box Transformer 3, and the one matching Fan Box Transformer 8 is Fan Box Transformer 4.

[0075] In this embodiment, the corresponding device information is sorted according to the text size and the number size to obtain the corresponding device list, so as to determine the corresponding relationship between each source device and each device to be processed, thereby improving the matching accuracy between the target source device and the device to be processed.

[0076] In an exemplary embodiment, based on each of the above first measurement point information and each of the above second measurement point information, obtaining the association relationship between each of the above first device measurement points and each of the above second device measurement points included in the above target source device may include the steps of: based on each of the above first measurement types and each of the above second measurement types, or, based on each of the above first measurement point descriptions and each of the above second measurement point descriptions, obtaining the association relationship between each of the above first device measurement points and each of the above second device measurement points included in the above target source device.

[0077] Wherein, the measurement point information includes a measurement type and a measurement point description. The above measurement type is used to characterize the type of the device measurement point, and the above measurement point description is the text description of the device measurement point; the above first measurement point information includes a first measurement type and a first measurement point description; the above second measurement point information includes a second measurement type and a second measurement point description.

[0078] Wherein, the device measurement point may have fields such as "primary key", "measurement point description", "measurement type", etc. in the centralized control system. The "primary key" is the unique identifier of the measurement point, which cannot be repeated and is a string of numbers. The "measurement point description" is the text description of this measurement point, such as "phase A voltage", "phase B voltage", etc. The "measurement type" marks the type of this measurement point, such as "I_A" (representing that this measurement point is the phase A current), "I_B" (representing that this measurement point is the phase B current), "I_C" (representing that this measurement point is the phase C current). Different measurement points under the same device or interval must have different "measurement types" and cannot be repeated. Measurement points with the same measurement type may exist under different devices or intervals. For example, if the measurement type of the measurement point with the primary key "1234" under the "line protection 1 device" is "I_A", then the measurement type of the measurement point with the primary key "1235" under the "line protection 1 device" can be "I_B", and cannot be the same as "I_A". The measurement type of the measurement point with the primary key "2345" under the "line protection 2 device" can be "I_A".

[0079] Exemplarily, the terminal can obtain the association relationship between each of the above first device measurement points and each of the above second device measurement points included in the target source device based on each of the above first measurement types and each of the above second measurement types; the terminal can also obtain the association relationship between each of the above first device measurement points and each of the above second device measurement points included in the target source device based on each of the above first measurement point descriptions and each of the above second measurement point descriptions.

[0080] For another example, for some first device measurement points and some second device measurement points, the terminal can obtain the correlation relationship between the above-mentioned some first device measurement points and some second device measurement points based on the first measurement type and the second measurement type; for the remaining first device measurement points and the remaining second device measurement points, the terminal can obtain the correlation relationship between the remaining first device measurement points and the remaining second device measurement points based on the first measurement point description and the second measurement point description; some first device measurement points and some second device measurement points can be measurement points that only have measurement point information of the measurement type; then the remaining first device measurement points and some second device measurement points can be measurement points that only have measurement point information of the measurement point description, or can be measurement points that have both the measurement point description and the measurement point information of the measurement type.

[0081] In this embodiment, the two matching methods based on the two types of information, namely the measurement type or the measurement point description, can more accurately identify the measurement points with similar functions, and improve the accuracy of matching the first device measurement points and the second device measurement points.

[0082] In an exemplary embodiment, the specific steps for obtaining the correlation relationship between each of the above-mentioned first device measurement points included in the target source device and each of the above-mentioned second device measurement points based on each of the above-mentioned first measurement types and each of the above-mentioned second measurement types may include: when the first measurement type and the second measurement type are the same, determining the correlation relationship between the first device measurement point corresponding to the first measurement type and the second device measurement point corresponding to the second measurement type.

[0083] Among them, the first measurement type and the second measurement type being the same can be, for example: the first measurement type is "I_A" (representing the current of phase A), and the second measurement type is "I_A" (representing the current of phase A). Therefore, the first measurement type and the second measurement type are the same.

[0084] Exemplarily, the terminal compares the first measurement type A of the first device measurement point A with the second measurement type B of the second device measurement point B. When the first measurement type A and the second measurement type B are the same, it determines the correlation relationship between the first device measurement point A corresponding to the first measurement type A and the second device measurement point B corresponding to the second measurement type B, that is, there is a correlation relationship between the first device measurement point A and the second device measurement point B.

[0085] In this embodiment, by matching the consistency of the measurement types in the measurement point information, the consistency of the measurement point functions can be ensured, and further the accuracy of matching the correlation relationship between the first device measurement points and the second device measurement points can be improved.

[0086] In an exemplary embodiment, as Figure 3As shown, based on each of the above-described first measurement point descriptions and each of the above-described second measurement point descriptions, obtaining the association relationships between each of the above-described first device measurement points and each of the above-described second device measurement points included in the above-described target source device may specifically include the following steps:

[0087] Step S302: Based on the text descriptions in each of the above-described first measurement point descriptions, sort each of the above-described first device measurement points according to the text size and the number size to obtain a list of first device measurement points.

[0088] Step S304: Based on the text descriptions in each of the above-described second measurement point descriptions, sort each of the above-described second device measurement points according to the text size and the number size to obtain a list of second device measurement points.

[0089] Step S306: According to the above list of first device measurement points and the above list of second device measurement points, determine the association relationships between each of the above-described first device measurement points and each of the above-described second device measurement points.

[0090] Among them, the text size may refer to the size of the text part corresponding to the string in the measurement point description; the number size may refer to the size of the number part corresponding to the string in the measurement point description; the size of the string may be determined according to the size of the encoding value corresponding to the string.

[0091] Exemplarily, the source device may be Fan 1, and the device to be processed may be Fan 2. When the device measurement points under Fan 1 and those under Fan 2 are not sorted, they may be as shown in the following table:

[0092]

[0093] The terminal sorts the device measurement points under Fan 1 through step S302 to obtain a list of first device measurement points, and sorts the device measurement points under Fan 2 through step S304 to obtain a list of second device measurement points. The list of first device measurement points and the list of second device measurement points may be combined as shown in the following table:

[0094]

[0095] The terminal determines the association relationships between each of the above-described first device measurement points and each of the above-described second device measurement points according to the above list of first device measurement points and the above list of second device measurement points.

[0096] Continuing to refer to the above table, in an exemplary embodiment, determining the association relationship between each of the above first device measurement points and each of the above second device measurement points according to the above first device measurement point list and the above second device measurement point list may include the steps of: when the text descriptions corresponding to the above first device measurement points and the text descriptions corresponding to the above second device measurement points in the same list order are consistent, determining the association relationship between the above first device measurement points and the above second device measurement points.

[0097] As shown in the above table, the terminal compares and analyzes the text descriptions in the same list order in the first device measurement point list and the second device measurement point list, and it can be obtained that the text descriptions of the grid-connected power in No. 13 are consistent, that is, there is an association relationship between the first device measurement point corresponding to the grid-connected power in No. 13 in the first device list and the second device measurement point corresponding to the grid-connected power in No. 13 in the second device list.

[0098] Continuing to refer to the above table, in an exemplary embodiment, determining the association relationship between each of the above first device measurement points and each of the above second device measurement points according to the above first device measurement point list and the above second device measurement point list includes: when the text descriptions corresponding to the above first device measurement points and the text descriptions corresponding to the above second device measurement points in the same list order are inconsistent, removing the numbers and connection symbols in the text descriptions corresponding to the above first device measurement points and the text descriptions corresponding to the above second device measurement points, and when the text descriptions corresponding to the above first device measurement points after removing the numbers and connection symbols and the text descriptions corresponding to the above second device measurement points after removing the numbers and connection symbols are consistent, determining the association relationship between the above first device measurement points and the above second device measurement points.

[0099] As shown in the above table, the text descriptions corresponding to the other first device measurement points except No. 13 and the text descriptions corresponding to the second device measurement points are all inconsistent. The terminal removes the numbers and connection symbols in the text descriptions corresponding to the above first device measurement points and the text descriptions corresponding to the above second device measurement points, and the following table can be obtained:

[0100]

[0101] When the text descriptions corresponding to the above-mentioned first device measurement points after removing numbers and hyphens are consistent with the text descriptions corresponding to the above-mentioned second device measurement points after removing numbers and hyphens, the association relationship between the above-mentioned first device measurement points and the above-mentioned second device measurement points is determined. Referring to the above table, when the text descriptions corresponding to the first device measurement points with the same list order, that is, serial numbers 1 to 14, are consistent with the text descriptions corresponding to the second device measurement points with serial numbers 1 to 14, it can be determined that there is an association relationship between the first device measurement points with serial numbers 1 to 14 and the second device measurement points with serial numbers 1 to 14.

[0102] It should be noted that assuming that the device measurement points under the source device (such as fan 1) and the device to be processed (such as fan 2) in the above embodiment are not sorted, here four device measurement points, namely fan temperature 1, fan temperature 2, fan temperature 3, and fan temperature 4, are used for illustration. The situation without sorting is as follows:

[0103] The device measurement points under fan 1 are "fan temperature 1", "fan temperature 4", "fan temperature 2", and "fan temperature 3".

[0104] The device measurement points under fan 2 are "fan temperature 4", "fan temperature 3", "fan temperature 2", and "fan temperature 1".

[0105] When these device measurement points remove the Arabic numerals, they become:

[0106] The device measurement points under fan 1 are "fan temperature", "fan temperature", "fan temperature", and "fan temperature".

[0107] The device measurement points under fan 2 are "fan temperature", "fan temperature", "fan temperature", and "fan temperature".

[0108] In this way, all device measurement points are called "fan temperature", and the matching relationship is:

[0109] "Fan temperature 1" corresponds to "fan temperature 4".

[0110] "Fan temperature 4" corresponds to "fan temperature 3".

[0111] "Fan temperature 2" corresponds to "fan temperature 2".

[0112] "Fan temperature 3" corresponds to "fan temperature 1".

[0113] It can be seen that the matching relationship becomes disordered.

[0114] If the device measurement points under the source device (such as fan 1) and the device to be processed (such as fan 2) in the above embodiment are sorted, it will become:

[0115] The equipment measurement points under the fan 1 are "Fan Temperature 1", "Fan Temperature 2", "Fan Temperature 3", "Fan Temperature 4".

[0116] The equipment measurement points under the fan 2 are "Fan Temperature 1", "Fan Temperature 2", "Fan Temperature 3", "Fan Temperature 4".

[0117] When the Arabic numerals are removed from these measurement points, they become:

[0118] The equipment measurement points under the fan 1 are "Fan Temperature", "Fan Temperature", "Fan Temperature", "Fan Temperature".

[0119] The equipment measurement points under the fan 2 are "Fan Temperature", "Fan Temperature", "Fan Temperature", "Fan Temperature".

[0120] In this way, all equipment measurement points are called "Fan Temperature", and the matching relationship is

[0121] "Fan Temperature 1" corresponds to "Fan Temperature 1",

[0122] "Fan Temperature 2" corresponds to "Fan Temperature 2",

[0123] "Fan Temperature 3" corresponds to "Fan Temperature 3",

[0124] "Fan Temperature 4" corresponds to "Fan Temperature 4".

[0125] It can be seen that the matching relationship is correct.

[0126] The reason for removing the Arabic numerals for matching is: A very common situation in actual applications is like this:

[0127] The temperature measurement points under the fan 1 can be "Fan Temperature 1", "Fan Temperature 4", "Fan Temperature 2", "Fan Temperature 3".

[0128] The temperature measurement points under the fan 2 can be "Fan Temperature 5", "Fan Temperature 8", "Fan Temperature 7", "Fan Temperature 6".

[0129] After sorting, it becomes:

[0130] The equipment measurement points under the fan 1 are "Fan Temperature 1", "Fan Temperature 2", "Fan Temperature 3", "Fan Temperature 4".

[0131] The equipment measurement points under the fan 2 are "Fan Temperature 5", "Fan Temperature 6", "Fan Temperature 7", "Fan Temperature 8".

[0132] People can determine that the fan temperature 1 corresponds to the fan temperature 5 through experience and intuition. However, a computer can only execute according to the methods set by people and cannot make inferences based on intuition. If "fan temperature 1" is different from the following "fan temperature 5" to "fan temperature 8", they cannot be matched. Therefore, only by removing all Arabic numerals in the measurement points can "fan temperature 1" and "fan temperature 5" establish a matching relationship. Therefore, the design of "removing Roman numerals and Arabic numerals" can be adopted because in electricity, Roman numerals and Arabic numerals are often used to identify measurement points and equipment. For example, multiple busbars are called busbar I, busbar II, busbar III, etc., and multiple temperature points are called temperature 1, temperature 2, temperature 3, etc.

[0133] In the above embodiment, the device measurement points are sorted based on the text size and number size in the measurement point description to obtain the first device measurement point list of the source device and the second device measurement point list of the device to be processed. Then, based on the first device measurement point list and the second device measurement point list, the association relationship between each first device measurement point and each second device measurement point is determined. During the determination process, if the text description corresponding to the first device measurement point in the same list order is consistent with the text description corresponding to the second device measurement point, the association relationship between them is determined; if the text description corresponding to the first device measurement point in the same list order is inconsistent with the text description corresponding to the second device measurement point, the numbers and connectors in the text description corresponding to the first device measurement point and the text description corresponding to the second device measurement point are removed. When the text description corresponding to the first device measurement point after removing the numbers and connectors is consistent with the text description corresponding to the second device measurement point after removing the numbers and connectors, the association relationship between them is determined. In the above embodiment, sorting is performed through the text size and number size, and the first device list and the second device list are fully compared by means of direct comparison and comparison after removing numbers and connectors, that is, the association relationship of device measurement points between the source device and the device to be processed is established in a structured and efficient manner, improving the accuracy and reliability of the association relationship. In addition, through the step of removing numbers and connectors, the naming differences of device measurement points can be overcome, further improving the accuracy of determining the association relationship.

[0134] In an exemplary embodiment, the method for generating a device monitoring graph further includes: obtaining the container to which the above first device measurement point belongs; when the container contains intervals, constructing a tree structure including intervals, devices, and measurement points and displaying it; when the container does not contain intervals, constructing a tree structure including devices and measurement points and displaying it.

[0135] Exemplarily, the terminal obtains the container to which the measurement point of the first device belongs. When there are intervals in the container, a tree structure including intervals, devices, and measurement points is constructed and displayed. The tree structure can be as follows:

[0136] Interval: 35kV 1# Interval

[0137] Device: Fan Collector Line 1

[0138] Device: Fan Box Transformer 1

[0139] Device: Fan #1

[0140] Measurement Point: Fan Startup

[0141] Measurement Point: Fan Reset

[0142] Measurement Point: Fan Shutdown

[0143] Measurement Point: Current Wind Speed

[0144] Device: Fan #2

[0145] Measurement Point: Fan Startup

[0146] Measurement Point: Fan Reset

[0147] Measurement Point: Fan Shutdown

[0148] Measurement Point: Current Wind Speed

[0149] Device: Fan Box Transformer #2

[0150] Device: Fan #3

[0151] Measurement Point: Fan Startup

[0152] Measurement Point: Fan Reset

[0153] Measurement Point: Fan Shutdown

[0154] Measurement Point: Current Wind Speed

[0155] Device: Fan #4

[0156] Measurement Point: Fan Startup

[0157] Measurement Point: Fan Reset

[0158] Measurement Point: Fan Shutdown

[0159] Measurement Point: Current Wind Speed

[0160] Device: Fan Collector Line 2

[0161] Device: Fan Box Transformer #3

[0162] Device: Fan #5

[0163] Measurement point: Fan startup

[0164] Measurement point: Fan reset

[0165] Measurement point: Fan shutdown

[0166] Measurement point: Current wind speed

[0167] Equipment: Fan #6

[0168] Measurement point: Fan startup

[0169] Measurement point: Fan reset

[0170] Measurement point: Fan shutdown

[0171] Measurement point: Current wind speed

[0172] Equipment: Fan box transformer #4

[0173] Equipment: Fan #7

[0174] Measurement point: Fan startup

[0175] Measurement point: Fan reset

[0176] Measurement point: Fan shutdown

[0177] Measurement point: Current wind speed

[0178] Equipment: Fan #8

[0179] Measurement point: Fan startup

[0180] Measurement point: Fan reset

[0181] Measurement point: Fan shutdown

[0182] Measurement point: Current wind speed

[0183] In the case where there is no interval in the container, the terminal can construct a tree structure including the equipment and measurement points and display it. The tree structure can be obtained by removing the interval from the above-mentioned tree structure, which will not be elaborated here.

[0184] In this embodiment, by constructing a tree structure, the hierarchical relationship between the equipment and its measurement points can be clearly displayed, improving the readability and understandability of information in a complex system.

[0185] In an exemplary embodiment, the present application further provides a method for quickly generating a monitoring graph suitable for wind-solar-storage equipment, and the specific steps may include:

[0186] Step S11, parse the source device SVG file of the same type as the target device obtained, and extract the "primary key" of the remote measurement point / remote signaling point. According to the "primary key", obtain the "measurement point description" and "measurement type" of the measurement points in the corresponding device model from the centralized control system.

[0187] In step S12, obtain the container to which the measurement point belongs. If the container contains intervals, construct a tree structure of "interval - device - measurement point" and display it; if the container does not contain intervals but only devices, construct a tree structure of "device - measurement point" and display it.

[0188] In step S13, obtain all the device lists under the source device, such as "fan collector line 1, fan box transformer 1, fan #1, fan #2, fan box transformer #2, fan #3, fan #4, fan collector line 2, fan box transformer #3, fan #5, fan #6, fan box transformer #4, fan #7, fan #8"; obtain all the sub - device lists under the target device from the centralized control system, and use the method of "fuzzy matching according to description" to match the source device list and the target device list, and match the target device corresponding to each source device one by one.

[0189] In step S14, for the source devices and target devices that have been successfully matched in step S13, obtain all the remote measurement points / remote signal points lists under the target device from the centralized control system. Calculate and match the measurement point lists under the source device and the measurement point lists under the target device according to the method of "fuzzy matching according to description" or "exact matching according to measurement type", and obtain the target measurement points corresponding to the source measurement points one by one.

[0190] Among them, "exact matching according to measurement type" means: compare whether the "measurement type" of two measurement points is exactly the same. If it is the same, the matching is successful.

[0191] "Fuzzy matching according to description" (this matching method is to match the source string list and the target string list. In the power industry, the descriptions of the same - type measurement points under different devices of the same type are similar, so it can be calculated which measurement points have the same function under different devices according to the description) is as follows:

[0192] 1) Sort the string list of the source description and the string list of the target description. The sorting principle is: extract the letters and Arabic numerals in the string. When the letter parts are different, compare the sizes of the letter parts. When the letter parts are the same, compare the sizes of the number parts.

[0193] 2) For the sorted description string list. Judge whether the original description and the target description with the same list order are directly the same. If they are the same, the matching is successful. If not, go to the next step.

[0194] 3) Remove the Roman numerals "I, II, III, IV, V" from the original description and the target description, and then match the remaining strings. If they are the same, the matching is successful. If not, go to the next step.

[0195] 4) Remove the Arabic numerals, "-", and "_" characters from the string obtained in 3), and then match the remaining string. If they are the same, the match is successful. If they are different, the match fails.

[0196] Step S15: Replace all the successfully matched measurement points in the source SVG file with the target measurement points after matching, and then save them to the file system to finally obtain the SVG graphic file of the target device (or interval).

[0197] The above method for quickly generating monitoring graphics for wind-solar-storage devices can, compared with existing project solutions, reduce the production time of SVG graphic files, lower labor costs, and improve the accuracy of associated device measurement points in SVG files in scenarios of producing a large number of monitoring graphics for similar devices, thus avoiding measurement point copying errors caused by human mistakes.

[0198] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are displayed in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless clearly stated in this article, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment but can be executed at different moments, and the execution order of these steps or stages is not necessarily sequential but can be executed alternately or in turn with at least some of the steps or stages in other steps or other steps.

[0199] Based on the same inventive concept, the embodiments of the present application also provide a device monitoring graphic generation device for implementing the above-mentioned device monitoring graphic generation method. The solution provided by this device for solving problems is similar to the solution described in the above method. Therefore, the specific limitations in one or more of the following embodiments of the device monitoring graphic generation device can refer to the limitations on the device monitoring graphic generation method in the above text and will not be repeated here.

[0200] In an exemplary embodiment, as Figure 4 shown, a device monitoring graphic generation device 900 is provided, including: a graphic file acquisition module 901, a first information acquisition module 902, a second information acquisition module 903, an association relationship acquisition module 904, and a graphic file generation module 905, where:

[0201] The graphic file acquisition module 901 is used to acquire a source device graphic file associated with the device to be processed; the above source device graphic file is the graphic file corresponding to the source device of the same device type as the above device to be processed;

[0202] The first information acquisition module 902 is configured to acquire a plurality of first device measurement points included in the source device from the source device graphic file, acquire the first device information of the source device from the centralized control system, and acquire the first measurement point information of each of the first device measurement points;

[0203] The second information acquisition module 903 is configured to acquire the second device information of the device to be processed from the centralized control system, and acquire the second measurement point information of each second device measurement point included in the device to be processed;

[0204] The association relationship acquisition module 904 is configured to, based on the first device information and the second device information, acquire a target source device that matches the device to be processed from the source devices, and based on each of the first measurement point information and each of the second measurement point information, acquire the association relationship between each of the first device measurement points included in the target source device and each of the second device measurement points;

[0205] The graphic file generation module 905 is configured to process the source device graphic file of the target source device according to the association relationship to obtain the graphic file of the device to be processed.

[0206] In an exemplary embodiment, the association relationship acquisition module 904 is further configured to sort each of the source devices according to the text size and the digital size according to the first device information of each of the source devices to obtain a source device list; sort each of the devices to be processed according to the text size and the digital size according to the second device information of each of the devices to be processed to obtain a device-to-be-processed list; determine the corresponding relationship between each of the source devices and each of the devices to be processed according to the source device list and the device-to-be-processed list, and acquire a target source device that matches the device to be processed from the source devices according to the corresponding relationship.

[0207] In an exemplary embodiment, the measurement point information includes a measurement type and a measurement point description, the measurement type is used to characterize the type of the device measurement point, and the measurement point description is the text description of the device measurement point; the first measurement point information includes a first measurement type and a first measurement point description; the second measurement point information includes a second measurement type and a second measurement point description; the association relationship acquisition module 904 is further configured to, based on each of the first measurement types and each of the second measurement types, or based on each of the first measurement point descriptions and each of the second measurement point descriptions, acquire the association relationship between each of the first device measurement points included in the target source device and each of the second device measurement points.

[0208] In an exemplary embodiment, the above-mentioned association relationship obtaining module 904 is further configured to determine the association relationship between the first device measurement point corresponding to the first measurement type and the second device measurement point corresponding to the second measurement type when the first measurement type and the second measurement type are the same.

[0209] In an exemplary embodiment, the above-mentioned association relationship obtaining module 904 is further configured to sort each of the first device measurement points according to the text size and the number size based on the text description in each of the first measurement point descriptions to obtain a first device measurement point list; sort each of the second device measurement points according to the text size and the number size based on the text description in each of the second measurement point descriptions to obtain a second device measurement point list; and determine the association relationship between each of the first device measurement points and each of the second device measurement points according to the first device measurement point list and the second device measurement point list.

[0210] In an exemplary embodiment, the above-mentioned association relationship obtaining module 904 is further configured to determine the association relationship between the first device measurement point and the second device measurement point when the text description corresponding to the first device measurement point and the text description corresponding to the second device measurement point in the same list order are the same.

[0211] In an exemplary embodiment, the above-mentioned association relationship obtaining module 904 is further configured to, when the text description corresponding to the first device measurement point and the text description corresponding to the second device measurement point in the same list order are different, remove the numbers and the connectors in the text description corresponding to the first device measurement point and the text description corresponding to the second device measurement point, and determine the association relationship between the first device measurement point and the second device measurement point when the text description corresponding to the first device measurement point after removing the numbers and the connectors and the text description corresponding to the second device measurement point after removing the numbers and the connectors are the same.

[0212] In an exemplary embodiment, the above-mentioned device monitoring graph generating device further includes a tree structure building module, configured to obtain the container to which the first device measurement point belongs; when the container contains intervals, build a tree structure including intervals, devices, and measurement points, and display it; when the container does not contain intervals, build a tree structure including devices and measurement points, and display it.

[0213] Each module in the above device monitoring graph generation device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules can be embedded in or independent of a processor in a computer device in hardware form, or stored in a memory in the computer device in software form, so that the processor can call and execute the operations corresponding to each of the above modules.

[0214] In an exemplary embodiment, a computer device is provided. The computer device can be a terminal, and its internal structure diagram can be as Figure 5 shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used for exchanging information between the processor and external devices. The communication interface of the computer device is used for communicating with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a method for generating a device monitoring graph.

[0215] Those skilled in the art can understand that Figure 5 the structure shown in

[0216] is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0217] In an embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0217] In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0218] In an embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0219] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0220] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope recorded in this application.

[0221] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation to the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for generating a device monitoring graph, characterized in that, The method includes: Obtaining a source device graphic file associated with the device to be processed; the source device graphic file is a graphic file corresponding to a source device of the same device type as the device to be processed; Obtaining a plurality of first device measurement points included in the source device from the source device graphic file, and obtaining first device information of the source device and first measurement point information of each of the first device measurement points from the centralized control system; Obtaining second device information of the device to be processed and second measurement point information of each second device measurement point included in the device to be processed from the centralized control system; Based on the first device information and the second device information, obtaining a target source device that matches the device to be processed from the source devices, and based on each of the first measurement point information and each of the second measurement point information, obtaining the association relationship between each of the first device measurement points included in the target source device and each of the second device measurement points; Processing the source device graphic file of the target source device according to the association relationship to obtain a graphic file of the device to be processed.

2. The method according to claim 1, wherein The obtaining, based on the first device information and the second device information, of a target source device that matches the device to be processed from the source devices includes: Sorting each of the source devices according to the first device information of each of the source devices in terms of text size and numerical size to obtain a source device list; Sorting each of the devices to be processed according to the second device information of each of the devices to be processed in terms of text size and numerical size to obtain a device-to-be-processed list; Determining the corresponding relationship between each of the source devices and each of the devices to be processed according to the source device list and the device-to-be-processed list, and obtaining a target source device that matches the device to be processed from the source devices according to the corresponding relationship.

3. The method according to claim 1, wherein The measurement point information includes a measurement type and a measurement point description. The measurement type is used to characterize the type of the device measurement point, and the measurement point description is a text description of the device measurement point; the first measurement point information includes a first measurement type and a first measurement point description; the second measurement point information includes a second measurement type and a second measurement point description; The obtaining, based on each of the first measurement point information and each of the second measurement point information, of the association relationship between each of the first device measurement points included in the target source device and each of the second device measurement points includes: Based on each of the first measurement types and each of the second measurement types, or, based on each of the first measurement point descriptions and each of the second measurement point descriptions, obtaining the association relationship between each of the first device measurement points included in the target source device and each of the second device measurement points.

4. The method according to claim 3, wherein The obtaining, based on each of the first measurement types and each of the second measurement types, of the association relationship between each of the first device measurement points included in the target source device and each of the second device measurement points includes: When the first measurement type and the second measurement type are the same, determining the association relationship between the first device measurement point corresponding to the first measurement type and the second device measurement point corresponding to the second measurement type.

5. The method according to claim 3, characterized in that, Based on each of the first measurement point descriptions and each of the second measurement point descriptions, obtaining the association relationship between each of the first device measurement points and each of the second device measurement points included in the target source device includes: Based on the text descriptions in each of the first measurement point descriptions, sorting each of the first device measurement points according to the text size and the number size to obtain a first device measurement point list; Based on the text descriptions in each of the second measurement point descriptions, sorting each of the second device measurement points according to the text size and the number size to obtain a second device measurement point list; According to the first device measurement point list and the second device measurement point list, determining the association relationship between each of the first device measurement points and each of the second device measurement points.

6. The method according to claim 5, wherein The determining the association relationship between each of the first device measurement points and each of the second device measurement points according to the first device measurement point list and the second device measurement point list includes: When the text descriptions corresponding to the first device measurement points and the text descriptions corresponding to the second device measurement points in the same list order are consistent, determining the association relationship between the first device measurement points and the second device measurement points.

7. The method according to claim 6, characterized in that, The determining the association relationship between each of the first device measurement points and each of the second device measurement points according to the first device measurement point list and the second device measurement point list includes: When the text descriptions corresponding to the first device measurement points and the text descriptions corresponding to the second device measurement points in the same list order are inconsistent, removing the numbers and the connectors in the text descriptions corresponding to the first device measurement points and the text descriptions corresponding to the second device measurement points, and when the text descriptions corresponding to the first device measurement points after removing the numbers and the connectors and the text descriptions corresponding to the second device measurement points after removing the numbers and the connectors are consistent, determining the association relationship between the first device measurement points and the second device measurement points.

8. The method according to claim 1, wherein The method further includes: Obtaining the container to which the first device measurement point belongs; When the container includes intervals, constructing a tree structure including intervals, devices, and measurement points, and displaying it; When the container does not include intervals, constructing a tree structure including devices and measurement points, and displaying it.

9. A device monitoring graph generation device, characterized in that, The device includes: A graphic file acquisition module, configured to acquire a source device graphic file associated with the device to be processed; the source device graphic file is a graphic file corresponding to a source device of the same device type as the device to be processed; A first information acquisition module, configured to acquire a plurality of first device measurement points included in the source device from the source device graphic file, and acquire the first device information of the source device and the first measurement point information of each of the first device measurement points from the centralized control system; A second information acquisition module, configured to acquire the second device information of the device to be processed and the second measurement point information of each of the second device measurement points included in the device to be processed from the centralized control system; The association relationship acquisition module is configured to obtain a target source device matching the device to be processed from the source devices based on the first device information and the second device information, and obtain the association relationship between each of the first device measurement points and each of the second device measurement points included in the target source device based on each of the first measurement point information and each of the second measurement point information; The graphic file generation module is configured to process the source device graphic file of the target source device according to the association relationship to obtain the graphic file of the device to be processed.

10. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

Images