Standardized mapping method and device for monitoring measuring points, equipment and storage medium

Abstract

The invention discloses a standardized mapping method, device and equipment for monitoring measurement points and a storage medium, which are used for improving the mapping efficiency of to-be-standardized measurement point names and standard measurement point names in a standardized dictionary. The method comprises the following steps: acquiring a to-be-standardized measuring point name and at least one standard measuring point name; respectively calculating the similarity between the to-be-standardized measuring point name and each obtained standard measuring point name; and determining a target standard measuring point name meeting a preset condition based on the calculated similarity, and establishing a mapping relationship between the to-be-standardized measuring point name and the target standard measuring point name.

Description

Technical Field

[0001] The present invention relates to the technical field of power environment monitoring, and in particular to a standardized mapping method, device, equipment and storage medium for monitoring measurement points. Background Art

[0002] In fields like power and communications, computer room systems typically include power distribution cabinets, uninterruptible power supplies (UPSs), and DC power supplies, while environmental systems primarily include air conditioning, temperature and humidity, and water / oil leaks. Monitoring computer room systems, specifically power and environmental monitoring, primarily monitors the operating status of each device within the system.

[0003] Currently, in power monitoring systems, for the same physical monitoring point, the measurement point names included in the equipment measurement point table provided by various equipment manufacturers may be different. For example, for the A-phase voltage of the AC power, some equipment manufacturers provide the measurement point name U1, some equipment manufacturers provide the measurement point name Ur, and some equipment manufacturers provide the measurement point name A-phase voltage.

[0004] To facilitate management, the measurement point names of each device must be standardized. This means that for the same physical monitoring point, each device must present the same measurement point name on the centralized monitoring platform. For example, if the standard measurement point name for the mains phase A voltage is "Phase A Voltage" in the monitoring platform's standardized dictionary table, then the measurement point name corresponding to Phase A voltage of all device manufacturers should be mapped to the dictionary entry with the standard measurement point name "Phase A Voltage."

[0005] In related technologies, the standardization of the above-mentioned equipment measurement points often requires manual comparison to map and bind the measurement point names defined in the equipment manual or communication protocol document provided by the equipment manufacturer with the standard measurement point names in the standardization dictionary table. This method is not only inefficient. Summary of the Invention

[0006] The present invention provides a standardized mapping method, device, equipment and storage medium for monitoring measuring points, which are used to improve the mapping efficiency between the names of measuring points to be standardized and the names of standard measuring points in a standardized dictionary.

[0007] In a first aspect, an embodiment of the present invention provides a standardized mapping method for monitoring measurement points, the method comprising:

[0008] Obtain the name of the measurement point to be standardized and at least one standard measurement point name;

[0009] Calculating the similarity between the name of the measurement point to be standardized and each of the obtained standard measurement point names respectively;

[0010] Based on the calculated similarity, a target standard measuring point name that meets a preset condition is determined, and a mapping relationship between the measuring point name to be standardized and the target standard measuring point name is established.

[0011] An embodiment of the present invention provides a standardized mapping method for monitoring measurement points. After obtaining the name of a measurement point to be standardized and at least one standard measurement point name, the similarity between the measurement point name to be standardized and each standard measurement point name is calculated respectively. Then, based on the calculated similarity, a target standard measurement point name that meets preset conditions is determined, and a mapping relationship between the measurement point name to be standardized and the target standard measurement point name is established. Compared with the manual comparison method in the prior art, there is no need to manually compare the measurement point name to be standardized with each standard measurement point name one by one, which can improve the mapping efficiency of the measurement point name to be standardized and the standard measurement point names in the standardized dictionary.

[0012] In a possible implementation, respectively calculating the similarity between the name of the measurement point to be standardized and each of the obtained standard measurement point names includes:

[0013] Performing word segmentation processing on the name of the measurement point to be standardized and each of the obtained standard measurement point names respectively to obtain a word set included in the name of the measurement point to be standardized and a word set included in each of the standard measurement point names;

[0014] Based on the word set included in the name of the measurement point to be standardized and the word set included in each of the standard measurement point names, similarities between the name of the measurement point to be standardized and each of the obtained standard measurement point names are calculated respectively.

[0015] In a possible implementation, respectively calculating the similarity between the name of the measurement point to be standardized and each of the obtained standard measurement point names includes:

[0016] For each of the standard measuring point names, the following operations are performed to calculate the similarity between the measuring point name to be standardized and each of the standard measuring point names:

[0017] Determining, according to a preset calculation rule, a first word similarity between the name of the to-be-standardized measuring point and the name of the standard measuring point based on an inclusion relationship between each word in the word set included in the name of the to-be-standardized measuring point and each word in the word set included in the name of the standard measuring point;

[0018] Determining, according to the preset calculation rule, a second word similarity between the standard measuring point name and the measuring point name to be standardized based on an inclusion relationship between each word in the word set included in the standard measuring point name and each word in the word set included in the measuring point name to be standardized;

[0019] The similarity between the name of the measurement point to be standardized and the name of the standard measurement point is determined by using the first word similarity and the second word similarity.

[0020] In a possible implementation, the preset calculation rules include at least one or more of the following:

[0021] If the first word is a substring of the second word, determining the weight of the first word to be a first weight;

[0022] If the first word is identical to or synonymous with the second word, the weight of the first word is determined to be a second weight, and the second weight is greater than the first weight.

[0023] In a possible implementation, determining the first word similarity between the name of the measurement point to be standardized and the name of the standard measurement point includes:

[0024] Determining the weight corresponding to each word in the word set included in the name of the measurement point to be standardized;

[0025] A preset algorithm is used to perform weighted summation on the weights corresponding to the respective words in the word set included in the name of the measurement point to be standardized, so as to obtain a first word similarity between the name of the measurement point to be standardized and the name of the standard measurement point.

[0026] In a possible implementation, determining the second word similarity between the standard measuring point name and the measuring point name to be standardized includes:

[0027] Determining the weight corresponding to each word in the word set included in the standard measuring point name;

[0028] A preset algorithm is used to perform weighted summation on the weights corresponding to the respective words in the word set included in the standard measuring point name to obtain a second word similarity between the standard measuring point name and the measuring point name to be standardized.

[0029] In a possible implementation, determining the similarity between the name of the measurement point to be standardized and the name of the standard measurement point by using the first word similarity and the second word similarity includes:

[0030] The sum of the first word similarity and the second word similarity is used as the similarity between the name of the measurement point to be standardized and the standard measurement point name.

[0031] In a possible implementation, before determining the target standard measuring point name that meets the preset conditions based on the calculated similarity, the method further includes:

[0032] Based on the word set included in the name of the measurement point to be standardized and the word set included in each of the standard measurement point names, respectively determining the category to which the name of the measurement point to be standardized and each of the standard measurement point names belong in a preset physical quantity table;

[0033] If any standard measuring point name and the name of the measuring point to be standardized belong to different categories, the similarity between the standard measuring point name and the name of the measuring point to be standardized is set to a preset similarity value.

[0034] The above method determines the categories to which the name of the measurement point to be standardized and each standard measurement point name belong in the preset physical quantity table, and when any standard measurement point name and the name of the measurement point to be standardized belong to different categories, sets the similarity between the standard measurement point name and the name of the measurement point to be standardized to the preset similarity value. This method can correct the similarity between the standard measurement point name and the name of the measurement point to be standardized, avoid the erroneous situation that the similarity between the standard measurement point name and the name of the measurement point to be standardized belongs to different physical quantities, and improve the accuracy of the similarity calculation.

[0035] In a possible implementation, obtaining the name of the measurement point to be standardized and the name of at least one standard measurement point includes:

[0036] Obtain the name of the measurement point to be standardized and the device type to which the measurement point name to be standardized belongs;

[0037] At least one standard measuring point name is obtained from a standardized dictionary associated with the device type.

[0038] In a possible implementation, establishing a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point includes:

[0039] When it is determined that the similarity between the name of the measurement point to be standardized and the name of the target standard measurement point is greater than a preset similarity threshold, a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point is established.

[0040] The above method directly establishes a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point when it is determined that the similarity between the name of the measurement point to be standardized and the name of the target standard measurement point is greater than a preset similarity threshold, without the need for user review and confirmation, which can further improve the efficiency of establishing the mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point.

[0041] In a possible implementation, establishing a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point includes:

[0042] Sending the name of the measurement point to be standardized and the name of the target standard measurement point to the user, requesting the user to review;

[0043] When the review pass instruction sent by the user is received, a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point is established.

[0044] The above method can further improve the accuracy of establishing the mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point by sending the name of the measurement point to be standardized and the name of the target standard measurement point to the user, requesting the user to review, and establishing the mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point when receiving the review approval instruction sent by the user.

[0045] In a second aspect, an embodiment of the present invention provides a standardized mapping device for monitoring measurement points, the device comprising:

[0046] An acquiring unit, configured to acquire a name of a measurement point to be standardized and a name of at least one standard measurement point;

[0047] a processing unit, configured to respectively calculate the similarity between the name of the measurement point to be standardized and each of the obtained standard measurement point names;

[0048] The mapping establishment unit is configured to determine a target standard measuring point name that meets a preset condition based on the calculated similarity, and to establish a mapping relationship between the measuring point name to be standardized and the target standard measuring point name.

[0049] In a possible implementation, the processing unit is specifically configured to:

[0050] Performing word segmentation processing on the name of the measurement point to be standardized and each of the obtained standard measurement point names respectively to obtain a word set included in the name of the measurement point to be standardized and a word set included in each of the standard measurement point names;

[0051] Based on the word set included in the name of the measurement point to be standardized and the word set included in each of the standard measurement point names, similarities between the name of the measurement point to be standardized and each of the obtained standard measurement point names are calculated respectively.

[0052] In a possible implementation, the processing unit is specifically configured to:

[0053] For each of the standard measuring point names, the following operations are performed to calculate the similarity between the measuring point name to be standardized and each of the standard measuring point names:

[0054] Determining, according to a preset calculation rule, a first word similarity between the name of the to-be-standardized measuring point and the name of the standard measuring point based on an inclusion relationship between each word in the word set included in the name of the to-be-standardized measuring point and each word in the word set included in the name of the standard measuring point;

[0055] Determining, according to the preset calculation rule, a second word similarity between the standard measuring point name and the measuring point name to be standardized based on an inclusion relationship between each word in the word set included in the standard measuring point name and each word in the word set included in the measuring point name to be standardized;

[0056] The similarity between the name of the measurement point to be standardized and the name of the standard measurement point is determined by using the first word similarity and the second word similarity.

[0057] In a possible implementation, the preset calculation rules include at least one or more of the following:

[0058] If the first word is a substring of the second word, determining the weight of the first word to be a first weight;

[0059] If the first word is identical to or synonymous with the second word, the weight of the first word is determined to be a second weight, and the second weight is greater than the first weight.

[0060] In a possible implementation, the processing unit is specifically configured to:

[0061] Determining the weight corresponding to each word in the word set included in the name of the measurement point to be standardized;

[0062] A preset algorithm is used to perform weighted summation on the weights corresponding to the respective words in the word set included in the name of the measurement point to be standardized, so as to obtain a first word similarity between the name of the measurement point to be standardized and the name of the standard measurement point.

[0063] In a possible implementation, the processing unit is specifically configured to:

[0064] Determining the weight corresponding to each word in the word set included in the standard measuring point name;

[0065] A preset algorithm is used to perform weighted summation on the weights corresponding to the respective words in the word set included in the standard measuring point name to obtain a second word similarity between the standard measuring point name and the measuring point name to be standardized.

[0066] In a possible implementation, the processing unit is specifically configured to:

[0067] The sum of the first word similarity and the second word similarity is used as the similarity between the name of the measurement point to be standardized and the standard measurement point name.

[0068] In a possible implementation, the mapping establishment unit is further configured to:

[0069] Based on the word set included in the name of the measurement point to be standardized and the word set included in each of the standard measurement point names, respectively determining the category to which the name of the measurement point to be standardized and each of the standard measurement point names belong in a preset physical quantity table;

[0070] If any standard measuring point name and the name of the measuring point to be standardized belong to different categories, the similarity between the standard measuring point name and the name of the measuring point to be standardized is set to a preset similarity value.

[0071] In a possible implementation, the acquiring unit is specifically configured to:

[0072] Obtain the name of the measurement point to be standardized and the device type to which the measurement point name to be standardized belongs;

[0073] At least one standard measuring point name is obtained from a standardized dictionary associated with the device type.

[0074] In a possible implementation, the mapping establishment unit is specifically configured to:

[0075] When it is determined that the similarity between the name of the measurement point to be standardized and the name of the target standard measurement point is greater than a preset similarity threshold, a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point is established.

[0076] In a possible implementation, the mapping establishment unit is specifically configured to:

[0077] Sending the name of the measurement point to be standardized and the name of the target standard measurement point to the user, requesting the user to review;

[0078] When the review pass instruction sent by the user is received, a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point is established.

[0079] In a third aspect, an embodiment of the present invention provides an electronic device comprising a processor and a memory, wherein the memory is used to store programs executable by the processor, and the processor is used to read the programs in the memory and execute any one of the methods described in the first aspect.

[0080] In a fourth aspect, an embodiment of the present invention further provides a computer storage medium on which a computer program is stored, and when the program is executed by a processor, it is used to implement the steps of the method described in the first aspect above.

[0081] In a fifth aspect, the present invention provides a computer program product, comprising: a computer program code, which, when executed on a computer, enables the computer to execute any one of the methods described in the first aspect.

[0082] For each of the above-mentioned second, third, fourth, and fifth aspects and the technical effects that may be achieved by each of the aspects, please refer to the above-mentioned description of the technical effects that can be achieved by the first aspect or various possible solutions in the first aspect, and no further details will be given here. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0084] Figure 1 A schematic diagram of a flow chart of a standardized mapping method for monitoring measurement points provided by an embodiment of the present invention;

[0085] Figure 2 A schematic diagram of a similarity calculation result provided by an embodiment of the present invention;

[0086] Figure 3 A schematic diagram of another similarity calculation result provided by an embodiment of the present invention;

[0087] Figure 4 A schematic diagram of a corrected similarity calculation result provided by an embodiment of the present invention;

[0088] Figure 5 A flowchart illustrating a specific implementation process of a standardized mapping method for monitoring measurement points provided by an embodiment of the present invention;

[0089] Figure 6 A flowchart illustrating a specific implementation process of another standardized mapping method for monitoring measurement points provided by an embodiment of the present invention;

[0090] Figure 7 A schematic structural diagram of a standardized mapping device for monitoring measurement points provided by an embodiment of the present invention;

[0091] Figure 8 A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0092] To make the objectives, technical solutions, and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings. It should be understood that the embodiments described herein are merely some, rather than all, of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are intended to fall within the scope of protection of the present invention.

[0093] In the description of the embodiments of the present invention, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present invention, “multiple” refers to two or more than two.

[0094] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features.

[0095] Before introducing the standardized mapping method for monitoring points provided by an embodiment of the present invention, for ease of understanding, the technical background of the embodiment of the present invention is first introduced in detail below.

[0096] In fields like power and communications, computer room systems typically include power distribution cabinets, uninterruptible power supplies (UPSs), and DC power supplies, while environmental systems primarily include air conditioning, temperature and humidity, and water / oil leaks. Monitoring computer room systems, specifically power and environmental monitoring, primarily monitors the operating status of each device within the system.

[0097] Currently, in power monitoring systems, for the same physical monitoring point, the measurement point names included in the equipment measurement point table provided by various equipment manufacturers may be different. For example, for the A-phase voltage of the AC power, some equipment manufacturers provide the measurement point name U1, some equipment manufacturers provide the measurement point name Ur, and some equipment manufacturers provide the measurement point name A-phase voltage.

[0098] To facilitate management, the measurement point names of each device must be standardized. This means that for the same physical monitoring point, each device must present the same measurement point name on the centralized monitoring platform. For example, if the standard measurement point name for the mains phase A voltage is "Phase A Voltage" in the monitoring platform's standardized dictionary table, then the measurement point name corresponding to Phase A voltage of all device manufacturers should be mapped to the dictionary entry with the standard measurement point name "Phase A Voltage."

[0099] In related technologies, the standardization of the above-mentioned equipment measurement points often requires manual comparison to map and bind the measurement point names defined in the equipment manual or communication protocol document provided by the equipment manufacturer with the standard measurement point names in the standardization dictionary table. This method is not only inefficient, but also difficult to troubleshoot when mapping errors occur.

[0100] In view of this, an embodiment of the present invention provides a standardized mapping method, device, equipment and storage medium for monitoring measuring points. After obtaining the name of the measuring point to be standardized and at least one standard measuring point name, the similarity between the measuring point name to be standardized and each standard measuring point name is calculated respectively. Then, based on the calculated similarity, a target standard measuring point name that meets preset conditions is determined, and a mapping relationship between the measuring point name to be standardized and the target standard measuring point name is established. There is no need to manually compare the measuring point name to be standardized with each standard measuring point name one by one, which can improve the mapping efficiency of the measuring point name to be standardized and the standard measuring point names in the standardized dictionary. At the same time, when a mapping error occurs, multiple standard measuring point names with high similarity can be searched to quickly find the correct target standard measuring point name and eliminate the mapping error.

[0101] After introducing the background technology of the embodiment of the present invention, the standardized mapping solution of monitoring points provided by the embodiment of the present invention is described in detail below in conjunction with specific embodiments.

[0102] like Figure 1 As shown, a standardized mapping method for monitoring measurement points provided by an embodiment of the present invention is applied to a centralized monitoring platform in power environment monitoring, and may include the following steps:

[0103] Step S101: Obtain the name of a measurement point to be standardized and the name of at least one standard measurement point.

[0104] During specific implementation, the names of the measurement points to be standardized may be obtained from a device manual or a communication protocol document provided by the device manufacturer, which is not limited in the embodiment of the present invention.

[0105] The at least one standard measuring point name can be obtained from a standardized dictionary associated with all device types. To reduce the number of standard measuring point names and improve efficiency, the device type to which the measuring point name to be standardized belongs can also be obtained first, and then obtained from a pre-stored standardized dictionary associated with the device type. This embodiment of the present invention is not limited to this.

[0106] It should be noted that the device type to which the name of the measurement point to be standardized belongs may be input or selected by the user, or may be identified and determined by the centralized monitoring platform, which is not limited in the embodiment of the present invention.

[0107] In specific implementation, taking the example of first obtaining the device type to which the measurement point name to be standardized belongs, and then obtaining at least one standard measurement point name from a pre-stored standardization dictionary associated with the device type, in order to improve the accuracy of the standardization mapping, all standard measurement point names in the standardization dictionary can be obtained.

[0108] Step S102 : calculating the similarity between the name of the measurement point to be standardized and each obtained standard measurement point name.

[0109] In specific implementation, when calculating the similarity between the name of the measurement point to be standardized and each standard measurement point name, the embodiment of the present invention first performs word segmentation processing on the name of the measurement point to be standardized and each standard measurement point name to obtain a word set included in the name of the measurement point to be standardized and a word set included in each standard measurement point name.

[0110] Specifically, when performing word segmentation processing on the standardized measuring point name and each standard measuring point name, a general word segmentation thesaurus provided by a third party, such as the Jieba thesaurus, etc., may be used, which is not limited in the embodiment of the present invention.

[0111] For example, the standardized measuring point name "1st input line phase voltage AB / A" is subjected to word segmentation processing, and the word set {"1st", "1st", "line", "phase voltage AB", " / ", "A"} is obtained; the standard measuring point name "AC input 1 voltage Ur" is subjected to word segmentation processing, and the word set {"AC", "input", "1", "voltage", "Ur"} is obtained; the standard measuring point name "AC input 1 phase current Ia" is subjected to word segmentation processing, and the word set {"AC", "input", "1", "phase current", "Ia"} is obtained.

[0112] It should be noted that due to the third-party general vocabulary, when processing proper nouns in the power environment category, over-segmentation may occur. For example, "total battery voltage" is a monitoring point of the battery and should be segmented into the word set {"battery", "total voltage"}. However, when using a third-party general vocabulary for word segmentation, it may be over-segmented into the word set {"battery", "total", "voltage"}.

[0113] In order to avoid the problem of over-segmentation of the third-party general vocabulary during word segmentation processing, in actual application of the embodiment of the present invention, the user can adjust the word segmentation permissions in the third-party general vocabulary to make the general vocabulary more suitable for word segmentation of proper nouns in the power environment category.

[0114] In specific implementation, after obtaining the name of the measurement point to be standardized and the word set contained in each standard measurement point name, the following operations are performed for each standard measurement point name to calculate the similarity between the name of the measurement point to be standardized and each standard measurement point name:

[0115] Operation 1: According to preset calculation rules, based on the inclusion relationship between each word in the word set included in the name of the measurement point to be standardized and each word in the word set included in the standard measurement point name, determine the first word similarity between the name of the measurement point to be standardized and the name of the standard measurement point.

[0116] The preset calculation rules include at least one or more of the following: if the first word is a substring of the second word, the weight of the first word is determined to be a first weight; if the first word and the second word are the same or synonymous, the weight of the first word is determined to be a second weight, and the second weight is greater than the first weight. The specific first and second weights can be set based on empirical values, for example, the first weight is 0.3 and the second weight is 1.

[0117] In practical applications, if the first word is neither a substring of the second word, nor different from the second word, nor a synonym, that is, the first word is unrelated to the second word, then the weight of the first word can be determined as 0 or a third weight, which is smaller than the first weight.

[0118] It should be noted that, in the embodiment of the present invention, the first word is a substring of the second word, which means that the second word contains the first word. For example, if the first word is "voltage" and the second word is "total voltage", then the first word is a substring of the second word.

[0119] In addition, the first word and the second word are synonyms, which means that the first word and the second word have the same meaning, for example, "shunt" and "branch" are synonyms, "U1" and "A phase voltage" are synonyms, "overtemperature" and "overtemperature" are synonyms, and "temperature compensation" and "temperature compensation" are synonyms. When determining whether the first word and the second word are synonyms, a pre-configured synonym database can be used for identification, which is not limited in this embodiment of the present invention.

[0120] In a specific implementation, when determining the first word similarity between the name of the to-be-standardized measuring point and the name of the standard measuring point based on the inclusion relationship between each word in the word set included in the name of the to-be-standardized measuring point and each word in the word set included in the name of the standard measuring point according to a preset calculation rule, the weight corresponding to each word in the word set included in the name of the to-be-standardized measuring point can be first determined according to the preset calculation rule. Then, a preset algorithm is used to perform a weighted summation of the weights corresponding to each word to obtain the first word similarity between the name of the to-be-standardized measuring point and the name of the standard measuring point. The preset algorithm can be a weighted average algorithm or other intelligent algorithm, which is not limited in this embodiment of the present invention.

[0121] Of course, in other embodiments of the present invention, after determining the weight corresponding to each word in the word set included in the name of the measurement point to be standardized, normalization processing can also be used to obtain the first word similarity between the name of the measurement point to be standardized and the standard measurement point name.

[0122] Operation 2: According to preset calculation rules, based on the inclusion relationship between each word in the word set included in the standard measuring point name and each word in the word set included in the measuring point name to be standardized, determine the second word similarity between the standard measuring point name and the measuring point name to be standardized.

[0123] In specific implementations, the method for determining the second word similarity is similar to the method for determining the first word similarity in operation 1, and will not be further described here. It should be noted that when determining the second word similarity, the weight corresponding to each word in the word set included in the standard measuring point name is first determined. Then, a preset algorithm is used to perform a weighted summation of the weights corresponding to each word in the word set included in the standard measuring point name to obtain the second word similarity between the standard measuring point name and the measuring point name to be standardized.

[0124] Operation 3: Determine the similarity between the name of the measurement point to be standardized and the name of the standard measurement point by using the first word similarity and the second word similarity.

[0125] In specific implementation, when determining the similarity between the name of the measurement point to be standardized and the name of the standard measurement point using the first word similarity and the second word similarity, the sum of the first word similarity and the second word similarity can be used as the similarity between the name of the measurement point to be standardized and the name of the standard measurement point.

[0126] Of course, in other embodiments of the present invention, other algorithms may also be used, such as setting a weight coefficient for the first word similarity and a weight coefficient for the second word similarity, and then using the first word similarity and the second word similarity by weighted summation to determine the similarity between the name of the measurement point to be standardized and the name of the standard measurement point.

[0127] In one example, the name of the standardized measuring point "1st input line phase voltage AB / A", the standard measuring point name "AC input 1 voltage Ur", and the standard measuring point name "AC input 1 phase current Ia" used in the above example of the embodiment of the present invention are taken as examples. Figure 2 As shown, using the method of calculating similarity provided by the embodiment of the present invention, the similarity between the name of the measurement point to be standardized "1st input line phase voltage AB / A" and the name of the standard measurement point "AC input 1 voltage Ur" is calculated to be 0.36. Figure 3 As shown, using the method for calculating similarity provided by the embodiment of the present invention, it is calculated that the similarity between the name of the measurement point to be standardized "1st input line phase voltage AB / A" and the standard measurement point name "AC input 1st phase current Ia" is 0.15.

[0128] Step S103 : Based on the calculated similarity, a target standard measuring point name that meets a preset condition is determined, and a mapping relationship between the name of the measuring point to be standardized and the target standard measuring point name is established.

[0129] In practical applications, before determining the target standard measuring point name that meets the preset conditions based on the calculated similarity, in order to improve the accuracy of the similarity calculation and avoid the occurrence of errors in the similarity between the standard measuring point name and the measuring point name to be standardized that belong to different physical quantities, for example, Figure 3 In the case shown, the name of the measurement point to be standardized is "1st input line phase voltage AB / A", and the physical quantity classification of its monitoring measurement point is voltage. The name of the standard measurement point is "AC input 1-phase current Ia", and the physical quantity classification of its monitoring measurement point is current. The two obviously do not belong to the same monitoring measurement point, but the calculated similarity is 0.15.

[0130] To address this situation, an embodiment of the present invention corrects the similarity before determining a target standard measuring point name that meets preset conditions based on the calculated similarity. Specifically, based on the word set contained in the measuring point name to be standardized and the word set contained in each standard measuring point name, the categories to which the measuring point name to be standardized and each standard measuring point name belong in a preset physical quantity table are determined. If any standard measuring point name and the measuring point name to be standardized belong to different categories, the similarity between the standard measuring point name and the measuring point name to be standardized is set to a preset similarity value. The preset physical quantity table can be pre-set, and the preset similarity value can be set as an empirical value, for example, a minimum value or 0.

[0131] Still using the above example, Figure 4 As shown, using the method for calculating similarity provided by the embodiment of the present invention, the similarity between the name of the measurement point to be standardized "1st input line phase voltage AB / A" and the name of the standard measurement point "AC input 1 phase current Ia" is calculated to be 0.15. After correction, the similarity between the name of the measurement point to be standardized "1st input line phase voltage AB / A" and the name of the standard measurement point "AC input 1 phase current Ia" is set to 0.

[0132] In specific implementation, after correcting the similarity between the standardized measuring point name and each standard measuring point name, the target standard measuring point name that meets the preset conditions is determined based on the calculated similarity, where the preset requirement can be the largest similarity, or the second or third place in descending order of similarity, etc.

[0133] In practical applications, after determining the target standard measuring point name, if the similarity between the to-be-standardized measuring point name and the target standard measuring point name is determined to be greater than a preset similarity threshold, embodiments of the present invention can directly establish a mapping relationship between the to-be-standardized measuring point name and the target standard measuring point name without requiring user review and confirmation, thereby further improving the efficiency of establishing the mapping relationship between the to-be-standardized measuring point name and the target standard measuring point name. The preset similarity threshold can be set based on empirical values, for example, 0.95.

[0134] Of course, in actual applications, after determining the target standard measuring point name, in order to further improve the accuracy of establishing the mapping relationship between the measuring point name to be standardized and the target standard measuring point name, the embodiment of the present invention can also send the measuring point name to be standardized and the target standard measuring point name to the user, requesting the user to review, and upon receiving the review pass instruction sent by the user, establish a mapping relationship between the measuring point name to be standardized and the target standard measuring point name; if the review fail instruction sent by the user is received, the target standard measuring point name can be re-determined and sent to the user, requesting the user to review.

[0135] It should be noted that when the names of the measurement points to be standardized and the target standard measurement points are sent to the user for review and confirmation, only the target standard measurement point names may be sent. In other embodiments of the present invention, some other standard measurement point names with high similarity may also be recommended for user reference.

[0136] The standardized mapping method for monitoring measuring points provided by an embodiment of the present invention obtains the name of the measuring point to be standardized and at least one standard measuring point name, and then respectively calculates the similarity between the name of the measuring point to be standardized and each standard measuring point name. Then, based on the calculated similarity, the target standard measuring point name that meets the preset conditions is determined, and a mapping relationship between the name of the measuring point to be standardized and the target standard measuring point name is established. This eliminates the need to manually compare the name of the measuring point to be standardized with each standard measuring point name one by one, and can improve the mapping efficiency of the name of the measuring point to be standardized and the standard measuring point names in the standardized dictionary.

[0137] In addition, when a mapping error occurs, the embodiment of the present invention can search for multiple standard measuring point names with high similarity, quickly search and re-determine the correct target standard measuring point name, and eliminate the mapping error.

[0138] In an example, the following combination Figure 5 Taking the mapping relationship between the name of the target standard measuring point and the name of the target standard measuring point as an example, the specific implementation process of the standardized mapping method for monitoring measuring points provided by the embodiment of the present invention is described in detail. Figure 5 Shown, including:

[0139] Step S501: Obtain the name of the measurement point to be standardized and the device type to which the measurement point name to be standardized belongs.

[0140] Step S502: Obtain at least one standard measuring point name from a standardized dictionary associated with the device type.

[0141] Step S503 : performing word segmentation processing on the name of the measurement point to be standardized and each standard measurement point name to obtain a word set included in the name of the measurement point to be standardized and a word set included in each standard measurement point name.

[0142] Step S504 : Determine the weight corresponding to each word in the word set included in the name of the measurement point to be standardized according to a preset calculation rule, and then perform weighted summation or normalization processing on the weights corresponding to each word to obtain the first word similarity between the name of the measurement point to be standardized and the standard measurement point name.

[0143] The preset calculation rules include at least one or more of the following: if the first word is a substring of the second word, the weight of the first word is determined to be a first weight; if the first word and the second word are the same or synonymous, the weight of the first word is determined to be a second weight, and the second weight is greater than the first weight. The specific first and second weights can be set based on empirical values, for example, the first weight is 0.3 and the second weight is 1.

[0144] Step S505 : Determine the weight corresponding to each word in the word set included in the standard measuring point name according to a preset calculation rule, and then perform weighted summation or normalization processing on the weights corresponding to each word to obtain the second word similarity between the standard measuring point name and the measuring point name to be standardized.

[0145] Step S506: The sum of the first word similarity and the second word similarity is used as the similarity between the measurement point name to be standardized and the standard measurement point name.

[0146] Step S507 : determining the categories to which the name of the measurement point to be standardized and each standard measurement point name belong in the preset physical quantity table, and correcting the similarity between the name of the measurement point to be standardized and the name of the standard measurement point based on the determined categories.

[0147] Specifically, if any standard measurement point name and the name of the measurement point to be standardized belong to different categories, the similarity between the standard measurement point name and the name of the measurement point to be standardized is set to a preset similarity value. The preset physical quantity table can be pre-set, and the preset similarity value can be set as an empirical value, for example, the preset similarity value is a minimum value or 0.

[0148] Step S508: Determine the standard measuring point name corresponding to the maximum similarity value as the target standard measuring point name.

[0149] Step S509: establishing a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point.

[0150] In another example, the following combination Figure 6 After determining the target standard measuring point name, the name of the measuring point to be standardized and the target standard measuring point name are sent to the user, and the user is requested to review the example, and the specific implementation process of the standardized mapping method for monitoring measuring points provided by the embodiment of the present invention is described in detail. Figure 6 Shown, including:

[0151] Step S601: Obtain the name of the measurement point to be standardized and the device type to which the measurement point name to be standardized belongs.

[0152] Step S602: Obtain at least one standard measuring point name from a standardized dictionary associated with the device type.

[0153] Step S603 : performing word segmentation processing on the name of the measurement point to be standardized and each standard measurement point name to obtain a word set included in the name of the measurement point to be standardized and a word set included in each standard measurement point name.

[0154] Step S604: determine the weight corresponding to each word in the word set included in the name of the measurement point to be standardized according to a preset calculation rule, and then perform weighted summation or normalization processing on the weights corresponding to each word to obtain the first word similarity between the name of the measurement point to be standardized and the standard measurement point name.

[0155] The preset calculation rules include at least one or more of the following: if the first word is a substring of the second word, the weight of the first word is determined to be a first weight; if the first word and the second word are the same or synonymous, the weight of the first word is determined to be a second weight, and the second weight is greater than the first weight. The specific first and second weights can be set based on empirical values, for example, the first weight is 0.3 and the second weight is 1.

[0156] Step S605 : Determine the weight corresponding to each word in the word set included in the standard measuring point name according to a preset calculation rule, and then perform weighted summation or normalization processing on the weights corresponding to each word to obtain the second word similarity between the standard measuring point name and the measuring point name to be standardized.

[0157] Step S606: The sum of the first word similarity and the second word similarity is used as the similarity between the name of the measurement point to be standardized and the standard measurement point name.

[0158] Step S607 : determining the categories to which the name of the measurement point to be standardized and each standard measurement point name belong in the preset physical quantity table, and correcting the similarity between the name of the measurement point to be standardized and the name of the standard measurement point based on the determined categories.

[0159] Specifically, if any standard measurement point name and the name of the measurement point to be standardized belong to different categories, the similarity between the standard measurement point name and the name of the measurement point to be standardized is set to a preset similarity value. The preset physical quantity table can be pre-set, and the preset similarity value can be set as an empirical value, for example, the preset similarity value is a minimum value or 0.

[0160] Step S608 : Based on the corrected similarity, the standard measuring point name that meets the preset requirements is determined as the target standard measuring point name.

[0161] The preset requirement may be the highest similarity, or the second or third place in descending order of similarity, etc.

[0162] Step S609: Send the name of the measurement point to be standardized and the name of the target standard measurement point to the user for review.

[0163] Step S610, determining whether the audit pass instruction sent by the user is received, if the audit pass instruction sent by the user is received, executing step S611, otherwise executing steps S608-S609 to re-determine the target standard measuring point name and send it to the user for review.

[0164] Step S611: establishing a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point.

[0165] Based on the same concept, an embodiment of the present invention further provides a standardized mapping device for monitoring measurement points. The principle of solving the problem by the device is similar to that of the above method. The implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0166] like Figure 7 As shown, a standardized mapping device for monitoring measurement points provided by an embodiment of the present invention includes:

[0167] An acquiring unit 701 is configured to acquire a name of a measurement point to be standardized and a name of at least one standard measurement point;

[0168] The processing unit 702 is configured to respectively calculate the similarity between the name of the measurement point to be standardized and each obtained standard measurement point name;

[0169] The mapping establishing unit 703 is configured to determine the target standard measuring point name that meets a preset condition based on the calculated similarity, and establish a mapping relationship between the measuring point name to be standardized and the target standard measuring point name.

[0170] In a possible implementation, the processing unit 702 is specifically configured to:

[0171] Perform word segmentation processing on the name of the measurement point to be standardized and each obtained standard measurement point name, respectively, to obtain a word set included in the name of the measurement point to be standardized and a word set included in each standard measurement point name;

[0172] Based on the word set included in the name of the measurement point to be standardized and the word set included in each standard measurement point name, the similarity between the name of the measurement point to be standardized and each obtained standard measurement point name is calculated respectively.

[0173] In a possible implementation, the processing unit 702 is specifically configured to:

[0174] For each standard measuring point name, perform the following operations to calculate the similarity between the measuring point name to be standardized and each standard measuring point name:

[0175] Determining, according to a preset calculation rule, a first word similarity between the name of the measuring point to be standardized and the name of the standard measuring point based on the inclusion relationship between each word in the word set included in the name of the measuring point to be standardized and each word in the word set included in the name of the standard measuring point;

[0176] Determining, according to a preset calculation rule, a second word similarity between the standard measuring point name and the measuring point name to be standardized based on an inclusion relationship between each word in the word set included in the standard measuring point name and each word in the word set included in the measuring point name to be standardized;

[0177] The similarity between the name of the measurement point to be standardized and the name of the standard measurement point is determined by using the first word similarity and the second word similarity.

[0178] In one possible implementation, the preset calculation rules include at least one or more of the following:

[0179] If the first word is a substring of the second word, determining the weight of the first word to be a first weight;

[0180] If the first word is identical to or synonymous with the second word, the weight of the first word is determined to be the second weight, and the second weight is greater than the first weight.

[0181] In a possible implementation, the processing unit 702 is specifically configured to:

[0182] Determine the weight corresponding to each word in the word set contained in the name of the measurement point to be standardized;

[0183] A preset algorithm is used to perform weighted summation on the weights corresponding to the respective words in the word set included in the name of the measurement point to be standardized, so as to obtain the first word similarity between the name of the measurement point to be standardized and the name of the standard measurement point.

[0184] In a possible implementation, the processing unit 702 is specifically configured to:

[0185] Determine the weight corresponding to each word in the word set included in the standard measuring point name;

[0186] A preset algorithm is used to perform weighted summation on the weights corresponding to the respective words in the word set included in the standard measuring point name to obtain the second word similarity between the standard measuring point name and the measuring point name to be standardized.

[0187] In a possible implementation, the processing unit 702 is specifically configured to:

[0188] The sum of the first word similarity and the second word similarity is taken as the similarity between the name of the measurement point to be standardized and the standard measurement point name.

[0189] In a possible implementation, the mapping establishing unit 703 is further configured to:

[0190] Based on the word set included in the name of the measurement point to be standardized and the word set included in the name of each standard measurement point, respectively determining the category to which the name of the measurement point to be standardized and each standard measurement point name belongs in the preset physical quantity table;

[0191] If the category to which any standard measuring point name belongs is different from the category to which the name of the measuring point to be standardized belongs, the similarity between the name of the standard measuring point and the name of the measuring point to be standardized is set to a preset similarity value.

[0192] In a possible implementation, the acquiring unit 701 is specifically configured to:

[0193] Obtain the name of the measurement point to be standardized and the device type to which the measurement point name to be standardized belongs;

[0194] Get at least one standard measurement point name from the standardization dictionary associated with the device type.

[0195] In a possible implementation, the mapping establishing unit 703 is specifically configured to:

[0196] When it is determined that the similarity between the name of the measurement point to be standardized and the name of the target standard measurement point is greater than a preset similarity threshold, a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point is established.

[0197] In a possible implementation, the mapping establishing unit 703 is specifically configured to:

[0198] Send the name of the measurement point to be standardized and the name of the target standard measurement point to the user and request the user to review;

[0199] When the review pass instruction sent by the user is received, a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point is established.

[0200] Based on the same concept, an embodiment of the present invention further provides an electronic device, the principle of which is similar to that of the above method. The implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0201] like Figure 8 As shown, an electronic device provided by an embodiment of the present invention includes: a processor 801; a memory 802 for storing executable instructions of the processor 801; wherein the processor 801 implements the following steps by running the executable instructions:

[0202] Obtain the name of the measurement point to be standardized and at least one standard measurement point name;

[0203] Calculate the similarity between the name of the measurement point to be standardized and each obtained standard measurement point name;

[0204] Based on the calculated similarity, the target standard measuring point name that meets the preset conditions is determined, and a mapping relationship between the name of the measuring point to be standardized and the name of the target standard measuring point is established.

[0205] In a possible implementation, the processor 801 is specifically configured to:

[0206] Perform word segmentation processing on the name of the measurement point to be standardized and each obtained standard measurement point name, respectively, to obtain a word set included in the name of the measurement point to be standardized and a word set included in each standard measurement point name;

[0207] Based on the word set included in the name of the measurement point to be standardized and the word set included in each standard measurement point name, the similarity between the name of the measurement point to be standardized and each obtained standard measurement point name is calculated respectively.

[0208] In a possible implementation, the processor 801 is specifically configured to:

[0209] For each standard measuring point name, perform the following operations to calculate the similarity between the measuring point name to be standardized and each standard measuring point name:

[0210] Determining, according to a preset calculation rule, a first word similarity between the name of the measuring point to be standardized and the name of the standard measuring point based on the inclusion relationship between each word in the word set included in the name of the measuring point to be standardized and each word in the word set included in the name of the standard measuring point;

[0211] Determining, according to a preset calculation rule, a second word similarity between the standard measuring point name and the measuring point name to be standardized based on an inclusion relationship between each word in the word set included in the standard measuring point name and each word in the word set included in the measuring point name to be standardized;

[0212] The similarity between the name of the measurement point to be standardized and the name of the standard measurement point is determined by using the first word similarity and the second word similarity.

[0213] In one possible implementation, the preset calculation rules include at least one or more of the following:

[0214] If the first word is a substring of the second word, determining the weight of the first word to be a first weight;

[0215] If the first word is identical to or synonymous with the second word, the weight of the first word is determined to be the second weight, and the second weight is greater than the first weight.

[0216] In a possible implementation, the processor 801 is specifically configured to:

[0217] Determine the weight corresponding to each word in the word set contained in the name of the measurement point to be standardized;

[0218] A preset algorithm is used to perform weighted summation on the weights corresponding to the respective words in the word set included in the name of the measurement point to be standardized, so as to obtain the first word similarity between the name of the measurement point to be standardized and the name of the standard measurement point.

[0219] In a possible implementation, the processor 801 is specifically configured to:

[0220] Determine the weight corresponding to each word in the word set included in the standard measuring point name;

[0221] A preset algorithm is used to perform weighted summation on the weights corresponding to the respective words in the word set included in the standard measuring point name to obtain the second word similarity between the standard measuring point name and the measuring point name to be standardized.

[0222] In a possible implementation, the processor 801 is specifically configured to:

[0223] The sum of the first word similarity and the second word similarity is taken as the similarity between the name of the measurement point to be standardized and the standard measurement point name.

[0224] In a possible implementation, the processor 801 is specifically configured to:

[0225] Based on the word set included in the name of the measurement point to be standardized and the word set included in the name of each standard measurement point, respectively determining the category to which the name of the measurement point to be standardized and each standard measurement point name belongs in the preset physical quantity table;

[0226] If the category to which any standard measuring point name belongs is different from the category to which the name of the measuring point to be standardized belongs, the similarity between the name of the standard measuring point and the name of the measuring point to be standardized is set to a preset similarity value.

[0227] In a possible implementation, the processor 801 is specifically configured to:

[0228] Obtain the name of the measurement point to be standardized and the device type to which the measurement point name to be standardized belongs;

[0229] Get at least one standard measurement point name from the standardization dictionary associated with the device type.

[0230] In a possible implementation, the processor 801 is specifically configured to:

[0231] When it is determined that the similarity between the name of the measurement point to be standardized and the name of the target standard measurement point is greater than a preset similarity threshold, a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point is established.

[0232] In a possible implementation, the processor 801 is specifically configured to:

[0233] Send the name of the measurement point to be standardized and the name of the target standard measurement point to the user and request the user to review;

[0234] When the review pass instruction sent by the user is received, a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point is established.

[0235] Based on the same inventive concept, embodiments of the present disclosure provide a computer storage medium comprising computer program code. When executed on a computer, the computer program code causes the computer to execute any of the standardized mapping methods for monitoring points discussed above. Because the principles underlying the problem solved by the computer storage medium are similar to those of the standardized mapping method for monitoring points, the implementation of the computer storage medium can be referenced to the implementation of the method, and any repetitions will be omitted.

[0236] In a specific implementation process, computer storage media may include: Universal Serial Bus Flash Drive (USB), mobile hard disk, Read-Only Memory (ROM), Random Access Memory (RAM), magnetic disk or optical disk, and other storage media that can store program code.

[0237] Based on the same inventive concept, embodiments of the present disclosure further provide a computer program product comprising computer program code that, when executed on a computer, causes the computer to execute any of the standardized mapping methods for monitoring points discussed above. Because the principles underlying the problems solved by the aforementioned computer program products are similar to those of the standardized mapping methods for monitoring points, the implementation of the aforementioned computer program products can be referenced to the implementation of the methods, and any repetitive details will not be repeated.

[0238] The computer program product can employ any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0239] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage and optical storage, etc.) containing computer-usable program code.

[0240] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that performs the functions specified in one or more boxes.

[0241] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0242] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The present invention is a block or multiple blocks that specify the functions of the steps. Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such modifications and variations fall within the scope of the claims and their equivalents, the present invention is intended to include such modifications and variations.

Claims

1. A standardized mapping method for monitoring measurement points, characterized in that: The method includes: Obtain the name of the measurement point to be standardized and at least one standard measurement point name; Calculating the similarity between the name of the measurement point to be standardized and each of the obtained standard measurement point names respectively; Based on the calculated similarity, a target standard measuring point name that meets a preset condition is determined, and a mapping relationship between the measuring point name to be standardized and the target standard measuring point name is established.

2. The method according to claim 1, characterized in that The respectively calculating the similarity between the name of the measurement point to be standardized and each of the obtained standard measurement point names includes: Performing word segmentation processing on the name of the measurement point to be standardized and each of the obtained standard measurement point names respectively to obtain a word set included in the name of the measurement point to be standardized and a word set included in each of the standard measurement point names; Based on the word set included in the name of the measurement point to be standardized and the word set included in each of the standard measurement point names, similarities between the name of the measurement point to be standardized and each of the obtained standard measurement point names are calculated respectively.

3. The method according to claim 2, characterized in that The respectively calculating the similarity between the name of the measurement point to be standardized and each of the obtained standard measurement point names includes: For each of the standard measuring point names, the following operations are performed to calculate the similarity between the measuring point name to be standardized and each of the standard measuring point names: Determining, according to a preset calculation rule, a first word similarity between the name of the to-be-standardized measuring point and the name of the standard measuring point based on an inclusion relationship between each word in the word set included in the name of the to-be-standardized measuring point and each word in the word set included in the name of the standard measuring point; Determining, according to the preset calculation rule, a second word similarity between the standard measuring point name and the measuring point name to be standardized based on an inclusion relationship between each word in the word set included in the standard measuring point name and each word in the word set included in the measuring point name to be standardized; The similarity between the name of the measurement point to be standardized and the name of the standard measurement point is determined by using the first word similarity and the second word similarity.

4. The method according to claim 3, characterized in that The preset calculation rules include at least one or more of the following: If the first word is a substring of the second word, determining the weight of the first word to be a first weight; If the first word is identical to or synonymous with the second word, the weight of the first word is determined to be a second weight, and the second weight is greater than the first weight.

5. The method according to claim 4, characterized in that The determining of the first word similarity between the name of the measurement point to be standardized and the name of the standard measurement point includes: Determining the weight corresponding to each word in the word set included in the name of the measurement point to be standardized; A preset algorithm is used to perform weighted summation on the weights corresponding to the respective words in the word set included in the name of the measurement point to be standardized, so as to obtain a first word similarity between the name of the measurement point to be standardized and the name of the standard measurement point.

6. The method according to claim 4, characterized in that Determining the second word similarity between the standard measuring point name and the measuring point name to be standardized includes: Determining the weight corresponding to each word in the word set included in the standard measuring point name; A preset algorithm is used to perform weighted summation on the weights corresponding to the respective words in the word set included in the standard measuring point name to obtain a second word similarity between the standard measuring point name and the measuring point name to be standardized.

7. The method according to claim 3, characterized in that The determining the similarity between the name of the measurement point to be standardized and the name of the standard measurement point by using the first word similarity and the second word similarity includes: The sum of the first word similarity and the second word similarity is used as the similarity between the name of the measurement point to be standardized and the standard measurement point name.

8. The method according to claim 2, characterized in that Before determining the target standard measuring point name that meets the preset conditions based on the calculated similarity, the method further includes: Based on the word set included in the name of the measurement point to be standardized and the word set included in each of the standard measurement point names, respectively determining the category to which the name of the measurement point to be standardized and each of the standard measurement point names belong in a preset physical quantity table; If any standard measuring point name and the name of the measuring point to be standardized belong to different categories, the similarity between the standard measuring point name and the name of the measuring point to be standardized is set to a preset similarity value.

9. The method according to any one of claims 1 to 8, characterized in that The step of obtaining the name of the measurement point to be standardized and the name of at least one standard measurement point includes: Obtain the name of the measurement point to be standardized and the device type to which the measurement point name to be standardized belongs; At least one standard measuring point name is obtained from a standardized dictionary associated with the device type.

10. The method according to any one of claims 1 to 8, characterized in that The step of establishing a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point includes: When it is determined that the similarity between the name of the measurement point to be standardized and the name of the target standard measurement point is greater than a preset similarity threshold, a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point is established.

11. The method according to any one of claims 1 to 8, characterized in that The step of establishing a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point includes: Sending the name of the measurement point to be standardized and the name of the target standard measurement point to the user, requesting the user to review; When the review pass instruction sent by the user is received, a mapping relationship between the name of the measurement point to be standardized and the name of the target standard measurement point is established.

12. A standardized mapping device for monitoring measurement points, characterized in that: The device includes: An acquiring unit, configured to acquire a name of a measurement point to be standardized and a name of at least one standard measurement point; a processing unit, configured to respectively calculate the similarity between the name of the measurement point to be standardized and each of the obtained standard measurement point names; The mapping establishment unit is configured to determine a target standard measuring point name that meets a preset condition based on the calculated similarity, and to establish a mapping relationship between the measuring point name to be standardized and the target standard measuring point name.

13. An electronic device, characterized in that: include: processor; A memory for storing processor-executable instructions; wherein the processor implements the steps of the method according to any one of claims 1 to 11 by running the executable instructions.

14. A computer storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 11 are implemented.

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