A Unified Monitoring and Control Method and System for Equipment Based on Industry-Specific Object Models

Abstract

This invention discloses a unified monitoring and control method and system for equipment based on industry-specific object models. The method includes: acquiring industry equipment data and equipment protocol rules corresponding to at least two target industries; determining a unified mapping relationship between the equipment protocol rules based on a prediction algorithm; establishing a unified object model for all target industries based on the unified mapping relationship and the industry equipment data; upon receiving communication data from any device corresponding to any target industry, determining a cross-industry control operation corresponding to the communication data based on the unified object model; the cross-industry control operation is used to control equipment in any other target industry. Therefore, this invention can achieve precise cross-industry equipment collaboration based on protocol mapping and model unification, improving the compatibility and response efficiency of multi-industry equipment management, and reducing the risk of control conflicts caused by protocol inconsistencies.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a unified monitoring and control method and system for equipment based on industry object models. Background Technology

[0002] With the rapid growth of the Industrial Internet of Things (IIoT) and the demand for cross-industry equipment collaboration, enterprises and institutions are increasingly focusing on achieving efficient interaction of multi-industry equipment through unified protocol management. Among these challenges, achieving unified monitoring and control of equipment has become a key technical issue. Existing technologies typically collect equipment data and protocol rules from a single target industry, establish communication interfaces using fixed conversion rules or manual configuration methods, and generate control commands based on standard operations to support equipment collaboration. However, existing solutions lack dynamic unified mapping using predictive algorithms and standardized construction of object models. This makes it difficult to generate cross-industry control operations based on communication data, and they cannot adapt to complex multi-industry scenarios. This results in insufficient equipment management compatibility, is prone to control conflicts due to protocol inconsistencies, and limits response efficiency and collaboration reliability. Therefore, existing technologies have shortcomings that urgently need to be addressed. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a unified monitoring and control method and system for equipment based on industry-specific object models, which can realize accurate cross-industry equipment collaboration based on protocol mapping and model unification, improve the compatibility and response efficiency of multi-industry equipment management, and reduce the risk of control conflicts caused by protocol inconsistencies.

[0004] To address the aforementioned technical problems, the first aspect of this invention discloses a unified monitoring and control method for equipment based on an industry-specific object model, the method comprising:

[0005] Obtain industry equipment data and equipment protocol rules for at least two target industries;

[0006] Based on the prediction algorithm, a unified mapping relationship between the device protocol rules is determined;

[0007] Based on the unified mapping relationship and the industry equipment data, a unified object model corresponding to all the target industries is established;

[0008] Upon receiving device communication data corresponding to any of the target industries, a cross-industry control operation corresponding to the device communication data is determined based on the unified object model; the cross-industry control operation is used to control any other device in the target industry.

[0009] As an optional implementation, in the first aspect of the present invention, the device protocol rules include at least one of device type rules, device interface rules, device data processing rules, device data format, device supervision rules, and device security rules.

[0010] As an optional implementation, in the first aspect of the present invention, determining the unified mapping relationship between the device protocol rules based on the prediction algorithm includes:

[0011] For any two target industries, determine the mapping prediction model corresponding to the two target industries;

[0012] The device protocol rules corresponding to the two target industries are input into the mapping prediction model to obtain the rule mapping relationship between the device protocol rules corresponding to the two target industries.

[0013] Based on all the rule mapping relationships, and using a relationship analysis algorithm, a unified mapping relationship is determined among all the device protocol rules.

[0014] As an optional implementation, in the first aspect of the present invention, the rule mapping relationship includes the association relationship between device parameters; the device parameters include at least one of device attributes, device services, and device events; the association relationship includes at least one of security association relationship, linkage association relationship, and interaction association relationship.

[0015] As an optional implementation, in the first aspect of the present invention, determining the unified mapping relationship between all the device protocol rules based on a relationship analysis algorithm according to all the said rule mapping relationships includes:

[0016] All device parameters in all the aforementioned device protocol rules are clustered to obtain multiple sets of device parameters;

[0017] For each set of device parameters, determine the set of relationships for all the associated relationships corresponding to each device parameter in the set of device parameters;

[0018] Calculate the intersection of all the relation sets in the device parameter set to obtain the set relation corresponding to the device parameter set;

[0019] Based on vector algorithms, determine the set vector representation corresponding to the set of device relationships;

[0020] The set vector representations corresponding to all the device relationship sets and the corresponding set relationships are determined as a unified mapping relationship.

[0021] As an optional implementation, in the first aspect of the present invention, establishing a unified object model corresponding to all the target industries based on the unified mapping relationship and the industry equipment data includes:

[0022] Obtain the preset industry object model corresponding to each of the target industries;

[0023] Based on the unified mapping relationship, the model parameters in all the industry object models are correlated to obtain the associated basic object model;

[0024] The industry equipment data corresponding to all the target industries are input into the associated basic object model to establish a unified object model corresponding to all the target industries.

[0025] As an optional implementation, in the first aspect of the present invention, the step of associating the model parameters in all the industry object models according to the unified mapping relationship to obtain the associated basic object model includes:

[0026] For any model parameter in any of the industry object models, calculate the vector distance between the parameter vector of the model parameter and the set vector representation corresponding to each of the device relationship sets;

[0027] The set of relationships corresponding to the device relationship set with the smallest vector distance is determined as the set of parameter association relationships corresponding to the model parameters;

[0028] Search for other model parameters that match the parameter association set in all other industry product models, and establish an association between the searched other model parameters and this model parameter;

[0029] Repeat the above steps until the associations of model parameters in all the industry object models are traversed to obtain the associated basic object models.

[0030] As an optional implementation, in the first aspect of the present invention, determining the cross-industry control operation corresponding to the device communication data based on the unified object model includes:

[0031] The device communication data is input into the unified object model to determine multiple related industry devices and their relationships corresponding to the device communication data.

[0032] For each of the aforementioned related industry devices, calculate the degree of association between the device data corresponding to the related industry device and the device communication data in the unified mapping relationship;

[0033] Determine whether the degree of association is greater than a preset degree threshold. If so, generate a device control operation corresponding to the associated industry device based on the corresponding association relationship. The device control operation includes at least one of a safety warning operation, a linkage notification operation, and an interactive control operation.

[0034] A second aspect of this invention discloses a unified monitoring and control system for equipment based on an industry-specific object model, the system comprising:

[0035] The acquisition module is used to acquire industry equipment data and equipment protocol rules corresponding to at least two target industries.

[0036] The determination module is used to determine the unified mapping relationship between the device protocol rules based on the prediction algorithm;

[0037] The modeling module is used to establish a unified object model for all the target industries based on the unified mapping relationship and the industry equipment data.

[0038] The control module is used to determine the cross-industry control operation corresponding to the device communication data based on the unified object model when receiving device communication data corresponding to any of the target industries; the cross-industry control operation is used to control any other device in the target industry.

[0039] As an optional implementation, in the second aspect of the present invention, the device protocol rules include at least one of device type rules, device interface rules, device data processing rules, device data format, device supervision rules, and device security rules.

[0040] As an optional implementation, in a second aspect of the invention, the determining module determines the specific method by which it determines the unified mapping relationship between the device protocol rules based on a prediction algorithm, including:

[0041] For any two target industries, determine the mapping prediction model corresponding to the two target industries;

[0042] The device protocol rules corresponding to the two target industries are input into the mapping prediction model to obtain the rule mapping relationship between the device protocol rules corresponding to the two target industries.

[0043] Based on all the rule mapping relationships, and using a relationship analysis algorithm, a unified mapping relationship is determined among all the device protocol rules.

[0044] As an optional implementation, in a second aspect of the present invention, the rule mapping relationship includes the association relationship between device parameters; the device parameters include at least one of device attributes, device services, and device events; the association relationship includes at least one of security association relationship, linkage association relationship, and interaction association relationship.

[0045] As an optional implementation, in a second aspect of the invention, the determining module determines the specific method for determining the unified mapping relationship between all the device protocol rules based on a relationship analysis algorithm, according to all the rule mapping relationships, including:

[0046] All device parameters in all the aforementioned device protocol rules are clustered to obtain multiple sets of device parameters;

[0047] For each set of device parameters, determine the set of relationships for all the associated relationships corresponding to each device parameter in the set of device parameters;

[0048] Calculate the intersection of all the relation sets in the device parameter set to obtain the set relation corresponding to the device parameter set;

[0049] Based on vector algorithms, determine the set vector representation corresponding to the set of device relationships;

[0050] The set vector representations corresponding to all the device relationship sets and the corresponding set relationships are determined as a unified mapping relationship.

[0051] As an optional implementation, in the second aspect of the invention, the specific method by which the modeling module establishes a unified object model corresponding to all the target industries based on the unified mapping relationship and the industry equipment data includes:

[0052] Obtain the preset industry object model corresponding to each of the target industries;

[0053] Based on the unified mapping relationship, the model parameters in all the industry object models are correlated to obtain the associated basic object model;

[0054] The industry equipment data corresponding to all the target industries are input into the associated basic object model to establish a unified object model corresponding to all the target industries.

[0055] As an optional implementation, in a second aspect of the invention, the modeling module correlates the model parameters in all the industry object models according to the unified mapping relationship to obtain a specific method for correlating the basic object models, including:

[0056] For any model parameter in any of the industry object models, calculate the vector distance between the parameter vector of the model parameter and the set vector representation corresponding to each of the device relationship sets;

[0057] The set of relationships corresponding to the device relationship set with the smallest vector distance is determined as the set of parameter association relationships corresponding to the model parameters;

[0058] Search for other model parameters that match the parameter association set in all other industry product models, and establish an association between the searched other model parameters and this model parameter;

[0059] Repeat the above steps until the associations of model parameters in all the industry object models are traversed to obtain the associated basic object models.

[0060] As an optional implementation, in a second aspect of the invention, the control module determines, based on the unified object model, the specific method of cross-industry control operation corresponding to the device communication data, including:

[0061] The device communication data is input into the unified object model to determine multiple related industry devices and their relationships corresponding to the device communication data.

[0062] For each of the aforementioned related industry devices, calculate the degree of association between the device data corresponding to the related industry device and the device communication data in the unified mapping relationship;

[0063] Determine whether the degree of association is greater than a preset degree threshold. If so, generate a device control operation corresponding to the associated industry device based on the corresponding association relationship. The device control operation includes at least one of a safety warning operation, a linkage notification operation, and an interactive control operation.

[0064] A third aspect of this invention discloses another unified monitoring and control system for equipment based on an industry-specific object model, the system comprising:

[0065] Memory containing executable program code;

[0066] A processor coupled to the memory;

[0067] The processor calls the executable program code stored in the memory to execute some or all of the steps in the unified monitoring and control method for equipment based on industry object models disclosed in the first aspect of the present invention.

[0068] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in the unified monitoring and control method for equipment based on industry object models disclosed in the first aspect of the present invention.

[0069] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0070] This invention acquires equipment data and protocol rules corresponding to at least two target industries, determines a unified mapping relationship and establishes a unified object model based on a prediction algorithm, and generates cross-industry control operations based on communication data. This enables precise cross-industry equipment collaboration based on protocol mapping and model unification, improves the compatibility and response efficiency of multi-industry equipment management, and reduces the risk of control conflicts caused by protocol inconsistencies. Attached Figure Description

[0071] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0072] Figure 1 This is a flowchart illustrating a unified monitoring and control method for equipment based on an industry-specific object model, as disclosed in an embodiment of the present invention.

[0073] Figure 2 This is a schematic diagram of the structure of a unified monitoring and control system for equipment based on an industry object model disclosed in an embodiment of the present invention.

[0074] Figure 3 This is a schematic diagram of another unified monitoring and control system for equipment based on an industry-specific object model disclosed in an embodiment of the present invention. Detailed Implementation

[0075] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0076] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0077] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0078] This invention discloses a unified monitoring and control method and system for equipment based on an industry-specific object model. By acquiring equipment data and protocol rules corresponding to at least two target industries, a unified mapping relationship is determined based on a prediction algorithm, and a unified object model is established. Cross-industry control operations are generated based on communication data, thereby enabling precise cross-industry equipment collaboration based on protocol mapping and model unification. This improves the compatibility and response efficiency of multi-industry equipment management and reduces the risk of control conflicts caused by protocol inconsistencies. Detailed descriptions follow.

[0079] Example 1

[0080] Please see Figure 1 , Figure 1 This is a flowchart illustrating a unified equipment monitoring and control method based on an industry-specific object model, as disclosed in an embodiment of the present invention. Figure 1 The described industry-specific device model-based unified monitoring and control method can be applied to data processing systems / data processing equipment / data processing servers (including local processing servers or cloud processing servers). For example... Figure 1 As shown, this unified equipment monitoring and control method based on industry-specific object models may include the following operations:

[0081] 101. Obtain industry equipment data and equipment protocol rules corresponding to at least two target industries.

[0082] Optionally, the equipment data in this industry may include equipment status data, performance parameter data, or operation log data, and this invention does not limit this.

[0083] Optionally, the device protocol rules can be communication protocols, data format rules, or interaction standard rules, and this invention does not impose any limitations.

[0084] Optionally, this acquisition process can be implemented based on industry database queries, device interface transmission, or real-time data collection; this invention does not impose any limitations.

[0085] 102. Based on the prediction algorithm, determine the unified mapping relationship between device protocol rules.

[0086] Optionally, the prediction algorithm can be a neural network algorithm, a relation mining algorithm, or a machine learning algorithm, and this invention does not limit it.

[0087] Optionally, the unified mapping relationship can be a parameter association matrix, a rule transformation table, or a semantic mapping model; this invention does not impose any limitations.

[0088] 103. Based on the unified mapping relationship and industry equipment data, establish a unified object model corresponding to all target industries.

[0089] Optionally, the unified object model can be a digital twin model, a knowledge graph model, or a hybrid model; this invention does not impose any limitations.

[0090] Optionally, this establishment process can be based on data fusion, model integration, or dynamic construction, and this invention does not limit it.

[0091] 104. Upon receiving device communication data corresponding to any target industry, determine the cross-industry control operation corresponding to the device communication data based on the unified object model.

[0092] Optionally, cross-industry control operations are used to control equipment in any other target industry.

[0093] Optionally, the communication data of the device can be real-time data packets, status update data, or command data, and the present invention does not limit it.

[0094] As can be seen, the above-described embodiments of the invention acquire equipment data and protocol rules corresponding to at least two target industries, determine a unified mapping relationship and establish a unified object model based on a prediction algorithm, and generate cross-industry control operations based on communication data. This enables precise cross-industry equipment collaboration based on protocol mapping and model unification, improves the compatibility and response efficiency of multi-industry equipment management, and reduces the risk of control conflicts caused by protocol inconsistencies.

[0095] As an optional embodiment, the device protocol rules in the above steps include at least one of device type rules, device interface rules, device data processing rules, device data format, device supervision rules, and device security rules.

[0096] As can be seen, the above optional embodiments define the content of the device protocol rules to comprehensively represent the corresponding device protocol rules in the industry, assist in realizing accurate cross-industry device collaboration based on protocol mapping and model unification, improve the compatibility and response efficiency of multi-industry device management, and reduce the risk of control conflicts caused by protocol inconsistencies.

[0097] As an optional embodiment, the step above, determining the unified mapping relationship between device protocol rules based on the prediction algorithm, includes:

[0098] For any two target industries, determine the corresponding mapping prediction model for those two target industries;

[0099] The equipment protocol rules corresponding to the two target industries are input into the mapping prediction model to obtain the rule mapping relationship between the equipment protocol rules corresponding to the two target industries.

[0100] Based on all rule mapping relationships, and using a relationship analysis algorithm, a unified mapping relationship is determined among all device protocol rules.

[0101] Optionally, the mapping prediction model can be a bilinear model, a multi-head attention model, or a relationship prediction model; this invention does not impose any limitations. Specifically, the mapping prediction model is trained using a training dataset that includes multiple training industry device protocol data and corresponding rule mapping relationship annotations.

[0102] Optionally, the process of determining the mapping prediction model can be based on industry similarity, model library query, or dynamic selection, and this invention does not limit it.

[0103] Optionally, the rule mapping relationship can be a one-to-one mapping, a one-to-many mapping, or a many-to-many mapping, and this invention does not limit it.

[0104] Optionally, the relation analysis algorithm can be a graph analysis algorithm, a clustering algorithm, or a semantic reasoning algorithm; this invention does not limit the algorithm.

[0105] Optionally, the unified mapping relationship can be a global relationship graph, a relationship matrix, or a set of association rules; this invention does not impose any limitations.

[0106] As can be seen, through the above optional embodiments, by determining the mapping prediction model for any two target industries and inputting protocol rules to obtain the rule mapping relationship, and analyzing the unified mapping relationship based on all mapping relationships, accurate unified protocol mapping based on prediction models and relationship analysis is achieved, which improves the accuracy and comprehensiveness of cross-industry device protocol compatibility, provides a reliable mapping foundation for the construction of a unified object model, and reduces the risk of device interaction caused by misjudgment of rule association.

[0107] As an optional embodiment, in the above steps, the rule mapping relationship includes the association relationship between device parameters; the device parameters include at least one of device attributes, device services, and device events; the association relationship includes at least one of security association relationship, linkage association relationship, and interaction association relationship.

[0108] As can be seen, the above optional embodiments define the content of the rule mapping relationship to comprehensively represent the mapping details of protocol rules between industries, assist in realizing accurate cross-industry device collaboration based on protocol mapping and model unification, improve the compatibility and response efficiency of multi-industry device management, and reduce the risk of control conflicts caused by protocol inconsistency.

[0109] As an optional embodiment, the step above, determining the unified mapping relationship between all device protocol rules based on a relationship analysis algorithm, according to all rule mapping relationships, includes:

[0110] Cluster all device parameters in all device protocol rules to obtain multiple device parameter sets;

[0111] For each set of device parameters, determine the set of relationships for all associated relationships corresponding to each device parameter in that set;

[0112] Calculate the intersection of all relation sets in the device parameter set to obtain the set relation corresponding to the device parameter set;

[0113] Based on vector algorithms, determine the set vector representation corresponding to the set of device relationships;

[0114] The set vector representations and corresponding set relationships of all device relationship sets are determined as a unified mapping relationship.

[0115] Optionally, the clustering can be implemented based on the K-means algorithm, hierarchical clustering algorithm, or density clustering algorithm; this invention does not limit the specific clustering.

[0116] Optionally, the device parameter set can be a parameter group, feature cluster, or dynamic set, and the present invention does not limit it.

[0117] Optionally, the set of relationships can be a list of relationships, a matrix of relationships, or a graph of relationships; this invention does not impose any limitations on this.

[0118] Optionally, the intersection calculation can be implemented based on set operations, logical intersection, or semantic intersection, and this invention does not limit it.

[0119] Optionally, the vector algorithm can be a word embedding algorithm, a graph embedding algorithm, or a feature vector generation algorithm; this invention does not limit the specific algorithm.

[0120] Optionally, the process of determining the vector representation of the set can be based on vector transformation, dimensionality reduction, or feature engineering, and this invention does not limit it.

[0121] As can be seen, through the above optional embodiments, by clustering and dividing the equipment parameters and calculating the intersection of the relationship sets to determine the set relationship and vector representation as a unified mapping relationship, accurate parameter association extraction based on clustering and vector representation is achieved, improving the accuracy and scalability of equipment parameter mapping, and reducing the risk of deviation in the unified relationship caused by ignoring parameter relationships.

[0122] As an optional embodiment, the step above, establishing a unified object model corresponding to all target industries based on the unified mapping relationship and industry equipment data, includes:

[0123] Obtain the preset industry object model corresponding to each target industry;

[0124] Based on the unified mapping relationship, the model parameters in all industry object models are correlated to obtain the associated basic object model;

[0125] Input the industry equipment data corresponding to all target industries into the associated basic object model to establish a unified object model for all target industries.

[0126] Optionally, the industry object model can be a digital twin model, a semantic model, or a knowledge model; this invention does not impose any limitations.

[0127] Optionally, the preset industry object model can be a standard model, a customized model, or a dynamic model, and this invention does not impose any limitations.

[0128] Optionally, the process of acquiring the industry model can be based on model library query, file loading, or real-time generation, and this invention does not limit it.

[0129] Optionally, the model parameters can be attribute parameters, service parameters, or event parameters; this invention does not impose any limitations.

[0130] Optionally, the related association can be parameter linking, relationship establishment, or semantic mapping, and this invention does not limit it.

[0131] Optionally, this association process can be implemented based on mapping applications, graph connections, or data fusion, and the present invention does not limit it.

[0132] As can be seen, through the above optional embodiments, by obtaining industry-specific object models and associating parameters according to unified mapping relationships to obtain associated basic object models, and inputting equipment data to establish unified object models, accurate unified model construction based on mapping association and data input is achieved, improving the integration and consistency of multi-industry equipment models and reducing the risk of collaboration failure caused by model parameter mismatch.

[0133] As an optional embodiment, the above steps, including associating the model parameters in all industry object models according to the unified mapping relationship to obtain the associated basic object model, include:

[0134] For any model parameter in any industry object model, calculate the vector distance between the parameter vector of that model parameter and the set vector representation corresponding to each set of device relationships;

[0135] The set of relationships corresponding to the device relationships with the smallest vector distance is determined as the set of parameter association relationships corresponding to the model parameters;

[0136] Search for other model parameters that match the parameter association set in all other industry product models, and establish associations between the searched other model parameters and this model parameter;

[0137] Repeat the above steps until you have traversed the relationships between model parameters in all industry object models, and obtained the associated basic object model.

[0138] Optionally, the parameter vector can be an embedding vector, a feature vector, or a representation vector; this invention does not impose any limitations.

[0139] Optionally, the vector distance can be Euclidean distance, cosine distance, or Manhattan distance; this invention does not limit the specific distance.

[0140] Optionally, the calculation of the vector distance can be based on vector operations, similarity calculation, or geometric analysis, and this invention does not limit it.

[0141] Optionally, the search process for these other model parameters can be implemented based on graph traversal, keyword matching, or semantic retrieval, and this invention does not limit this process.

[0142] As can be seen, through the above optional embodiments, parameter association is established by calculating the minimum distance relationship between the model parameter vector and the set vector, and the associated basic object model is obtained by traversing all model parameters. This achieves accurate model parameter fusion based on vector distance and traversal association, improves the association accuracy and completeness of the unified object model, and reduces the risk of model deviation caused by incomplete parameter search.

[0143] As an optional embodiment, the step above, determining the cross-industry control operation corresponding to the device communication data based on the unified object model, includes:

[0144] The device communication data is input into a unified object model to determine the multiple related industry devices and their relationships corresponding to the device communication data.

[0145] For each related industry device, calculate the degree of association between the device data corresponding to that related industry device and the device communication data in the unified mapping relationship;

[0146] Determine whether the degree of association is greater than a preset threshold. If so, generate equipment control operations corresponding to the associated industry equipment based on the corresponding association relationship. The equipment control operations include at least one of the following: safety warning operation, linkage notification operation, and interactive control operation.

[0147] Optionally, the input process of the device's communication data can be based on data parsing, model querying, or real-time inference, and this invention does not limit it.

[0148] Optionally, the related industry equipment can be cross-industry equipment, related equipment, or linked equipment; this invention does not impose any limitations.

[0149] Optionally, the degree of association can be a similarity value, a correlation coefficient, or a matching score; this invention does not limit this.

[0150] Optionally, the calculation process can be implemented based on mapping matching, vector comparison, or statistical analysis, and the present invention does not limit it.

[0151] Optionally, the calculation of this correlation degree can be optimized by combining the device data quality or the strength of the mapping relationship, which is not limited in this invention.

[0152] Optionally, the threshold can be a fixed threshold, a dynamic threshold, or a threshold adjusted based on industry type; this invention does not impose any limitations.

[0153] Optionally, the generation process of the device control operation can be based on rule generation, model prediction, or template filling, and the present invention does not limit it.

[0154] Optionally, the generation of the device control operations can be optimized by combining operation priority or device compatibility, and this invention does not limit this.

[0155] As can be seen, through the above optional embodiments, by inputting communication data to determine related industry equipment and relationships, calculating the degree of association and generating control operations, accurate cross-industry control decisions based on the degree of association threshold and relationship mapping are realized, improving the responsiveness and security of equipment communication, and reducing the risk of control errors caused by misjudgment of association.

[0156] Example 2

[0157] Please see Figure 2 , Figure 2 This is a schematic diagram of a unified equipment monitoring and control system based on an industry-specific object model, as disclosed in an embodiment of the present invention. Figure 2 The described industry-based unified monitoring and control system for equipment can be applied to data processing systems / data processing equipment / data processing servers (wherein, the server includes local processing servers or cloud processing servers). For example... Figure 2 As shown, the unified monitoring and control system for equipment based on industry-specific object models may include:

[0158] The acquisition module 201 is used to acquire industry equipment data and equipment protocol rules corresponding to at least two target industries.

[0159] The determination module 202 is used to determine the unified mapping relationship between device protocol rules based on the prediction algorithm.

[0160] Modeling module 203 is used to establish a unified object model for all target industries based on a unified mapping relationship and industry equipment data.

[0161] The control module 204 is used to determine the cross-industry control operation corresponding to the device communication data based on the unified object model when receiving device communication data corresponding to any target industry.

[0162] Optionally, cross-industry control operations are used to control equipment in any other target industry.

[0163] As can be seen, the above-described embodiments of the invention acquire equipment data and protocol rules corresponding to at least two target industries, determine a unified mapping relationship and establish a unified object model based on a prediction algorithm, and generate cross-industry control operations based on communication data. This enables precise cross-industry equipment collaboration based on protocol mapping and model unification, improves the compatibility and response efficiency of multi-industry equipment management, and reduces the risk of control conflicts caused by protocol inconsistencies.

[0164] As an optional embodiment, the device protocol rules include at least one of the following: device type rules, device interface rules, device data processing rules, device data format, device supervision rules, and device security rules.

[0165] As can be seen, the above optional embodiments define the content of the device protocol rules to comprehensively represent the corresponding device protocol rules in the industry, assist in realizing accurate cross-industry device collaboration based on protocol mapping and model unification, improve the compatibility and response efficiency of multi-industry device management, and reduce the risk of control conflicts caused by protocol inconsistencies.

[0166] As an optional embodiment, the specific method by which the determining module determines the unified mapping relationship between device protocol rules based on the prediction algorithm includes:

[0167] For any two target industries, determine the corresponding mapping prediction model for those two target industries;

[0168] The equipment protocol rules corresponding to the two target industries are input into the mapping prediction model to obtain the rule mapping relationship between the equipment protocol rules corresponding to the two target industries.

[0169] Based on all rule mapping relationships, and using a relationship analysis algorithm, a unified mapping relationship is determined among all device protocol rules.

[0170] As can be seen, through the above optional embodiments, by determining the mapping prediction model for any two target industries and inputting protocol rules to obtain the rule mapping relationship, and analyzing the unified mapping relationship based on all mapping relationships, accurate unified protocol mapping based on prediction models and relationship analysis is achieved, which improves the accuracy and comprehensiveness of cross-industry device protocol compatibility, provides a reliable mapping foundation for the construction of a unified object model, and reduces the risk of device interaction caused by misjudgment of rule association.

[0171] As an optional embodiment, the rule mapping relationship includes the association relationship between device parameters; the device parameters include at least one of device attributes, device services and device events; the association relationship includes at least one of security association relationship, linkage association relationship and interaction association relationship.

[0172] As can be seen, the above optional embodiments define the content of the rule mapping relationship to comprehensively represent the mapping details of protocol rules between industries, assist in realizing accurate cross-industry device collaboration based on protocol mapping and model unification, improve the compatibility and response efficiency of multi-industry device management, and reduce the risk of control conflicts caused by protocol inconsistency.

[0173] As an optional embodiment, the determining module determines the specific method for determining the unified mapping relationship between all device protocol rules based on all rule mapping relationships and a relationship analysis algorithm, including:

[0174] Cluster all device parameters in all device protocol rules to obtain multiple device parameter sets;

[0175] For each set of device parameters, determine the set of relationships for all associated relationships corresponding to each device parameter in that set;

[0176] Calculate the intersection of all relation sets in the device parameter set to obtain the set relation corresponding to the device parameter set;

[0177] Based on vector algorithms, determine the set vector representation corresponding to the set of device relationships;

[0178] The set vector representations and corresponding set relationships of all device relationship sets are determined as a unified mapping relationship.

[0179] As can be seen, through the above optional embodiments, by clustering and dividing the equipment parameters and calculating the intersection of the relationship sets to determine the set relationship and vector representation as a unified mapping relationship, accurate parameter association extraction based on clustering and vector representation is achieved, improving the accuracy and scalability of equipment parameter mapping, and reducing the risk of deviation in the unified relationship caused by ignoring parameter relationships.

[0180] As an optional implementation, the modeling module establishes a unified object model for all target industries based on a unified mapping relationship and industry equipment data in the following specific ways:

[0181] Obtain the preset industry object model corresponding to each target industry;

[0182] Based on the unified mapping relationship, the model parameters in all industry object models are correlated to obtain the associated basic object model;

[0183] Input the industry equipment data corresponding to all target industries into the associated basic object model to establish a unified object model for all target industries.

[0184] As can be seen, through the above optional embodiments, by obtaining industry-specific object models and associating parameters according to unified mapping relationships to obtain associated basic object models, and inputting equipment data to establish unified object models, accurate unified model construction based on mapping association and data input is achieved, improving the integration and consistency of multi-industry equipment models and reducing the risk of collaboration failure caused by model parameter mismatch.

[0185] As an optional implementation, the modeling module correlates the model parameters in all industry object models according to a unified mapping relationship to obtain the specific method of associating the underlying object models, including:

[0186] For any model parameter in any industry object model, calculate the vector distance between the parameter vector of that model parameter and the set vector representation corresponding to each set of device relationships;

[0187] The set of relationships corresponding to the device relationships with the smallest vector distance is determined as the set of parameter association relationships corresponding to the model parameters;

[0188] Search for other model parameters that match the parameter association set in all other industry product models, and establish associations between the searched other model parameters and this model parameter;

[0189] Repeat the above steps until you have traversed the relationships between model parameters in all industry object models, and obtained the associated basic object model.

[0190] As can be seen, through the above optional embodiments, parameter association is established by calculating the minimum distance relationship between the model parameter vector and the set vector, and the associated basic object model is obtained by traversing all model parameters. This achieves accurate model parameter fusion based on vector distance and traversal association, improves the association accuracy and completeness of the unified object model, and reduces the risk of model deviation caused by incomplete parameter search.

[0191] As an optional embodiment, the control module determines the specific method of cross-industry control operation corresponding to the device communication data based on the unified object model, including:

[0192] The device communication data is input into a unified object model to determine the multiple related industry devices and their relationships corresponding to the device communication data.

[0193] For each related industry device, calculate the degree of association between the device data corresponding to that related industry device and the device communication data in the unified mapping relationship;

[0194] Determine whether the degree of association is greater than a preset threshold. If so, generate equipment control operations corresponding to the associated industry equipment based on the corresponding association relationship. The equipment control operations include at least one of the following: safety warning operation, linkage notification operation, and interactive control operation.

[0195] As can be seen, through the above optional embodiments, by inputting communication data to determine related industry equipment and relationships, calculating the degree of association and generating control operations, accurate cross-industry control decisions based on the degree of association threshold and relationship mapping are realized, improving the responsiveness and security of equipment communication, and reducing the risk of control errors caused by misjudgment of association.

[0196] Example 3

[0197] Please see Figure 3 , Figure 3 This is another unified monitoring and control system for equipment based on industry object models disclosed in the embodiments of the present invention. Figure 3 The described industry-based unified monitoring and control system for equipment is applied to data processing systems / data processing equipment / data processing servers (wherein, the server includes local processing servers or cloud processing servers). For example... Figure 3 As shown, the unified monitoring and control system for equipment based on industry-specific object models may include:

[0198] Memory 301 storing executable program code;

[0199] Processor 302 coupled to memory 301;

[0200] The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the unified monitoring and control method for equipment based on the industry object model described in Embodiment 1.

[0201] Example 4

[0202] This invention discloses a computer read storage medium that stores a computer program for electronic data interchange, wherein the computer program causes a computer to execute the steps of the unified monitoring and control method for equipment based on an industry-specific object model as described in Embodiment 1.

[0203] Example 5

[0204] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps of the unified monitoring and control method for equipment based on an industry-specific object model as described in Embodiment 1.

[0205] The foregoing has described specific embodiments of this specification; other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than those shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily have to follow the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0206] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0207] For ease of description, the above devices are described in terms of function, divided into various units. Of course, in implementing this specification, the functions of each unit can be implemented in one or more software and / or hardware components.

[0208] Those skilled in the art will understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments of this specification can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0209] This specification is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this specification. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0210] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0211] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0212] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0213] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0214] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0215] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0216] This specification can be described in the general context of computer-executable instructions that are executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. This specification can also be practiced in distributed computing environments, where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0217] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0218] Finally, it should be noted that the unified monitoring and control method and system for equipment based on industry object models disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An industry object model based device unified monitoring and control method, characterized by, The method comprises: obtaining industry equipment data and equipment protocol rules corresponding to at least two target industries; determining a unified mapping relationship between the equipment protocol rules based on a prediction algorithm, comprising: for any two target industries, determining a mapping prediction model corresponding to the two target industries; inputting the equipment protocol rules corresponding to the two target industries into the mapping prediction model to obtain an output rule mapping relationship between the equipment protocol rules corresponding to the two target industries; clustering and dividing all device parameters in the equipment protocol rules to obtain a plurality of device parameter sets; for each device parameter set, determining a relationship set of all association relationships corresponding to each device parameter in the device parameter set; calculating the intersection of all relationship sets in the device parameter set to obtain a set relationship corresponding to the device parameter set; determining a set vector representation corresponding to the device relationship set based on a vector algorithm; determining the set vector representation corresponding to all device relationship sets and the corresponding set relationship as a unified mapping relationship; establishing a unified physical model corresponding to all target industries according to the unified mapping relationship and the industry equipment data; when receiving device communication data corresponding to any target industry, determining a cross-industry control operation corresponding to the device communication data according to the unified physical model; the cross-industry control operation is used to control the device of any other target industry. 2.The industry object model based device unified monitoring and control method of claim 1, wherein, The equipment protocol rules include at least one of device type rules, device interface rules, device data processing rules, device data formats, device supervision rules, and device security rules. 3.The industry object model based device unified monitoring and control method of claim 1, wherein, The rule mapping relationship includes an association relationship between device parameters; the device parameters include at least one of device attributes, device services, and device events; and the association relationship includes at least one of a security association relationship, a linkage association relationship, and an interaction association relationship. 4.The industry object model based device unified monitoring and control method of claim 1, wherein, The unified physical model corresponding to all target industries is established according to the unified mapping relationship and the industry equipment data, comprising: obtaining a preset industry physical model corresponding to each target industry; correlating model parameters in all industry physical models according to the unified mapping relationship to obtain an associated basic physical model; inputting the industry equipment data corresponding to all target industries into the associated basic physical model to establish a unified physical model corresponding to all target industries. 5.The industry object model based device unified monitoring and control method of claim 4, wherein, The model parameters in all industry physical models are correlated according to the unified mapping relationship to obtain an associated basic physical model, comprising: for any model parameter in any industry physical model, calculating the vector distance between the parameter vector of the model parameter and the set vector representation corresponding to each device relationship set; determining the set relationship corresponding to the device relationship set with the smallest vector distance as the parameter association relationship set corresponding to the model parameter; and determining the set relationship corresponding to the device relationship set with the smallest vector distance as the parameter association relationship set corresponding to the model parameter. search other model parameters in all other industry object models that meet the parameter association set, and establish an association between the searched other model parameters and the model parameters; repeat the above steps until all associations of model parameters in the industry object models are traversed, and obtain an association base object model. 6.The industry object model based device unified monitoring and control method of claim 1, wherein, The method comprises the following steps: inputting the device communication data into the unified object model to determine a plurality of associated industry devices and associated relationships corresponding to the device communication data; calculating, for each associated industry device, an association degree of device data corresponding to the associated industry device in the unified mapping relationship with the device communication data; determining whether the association degree is greater than a preset degree threshold, and if so, generating a device control operation corresponding to the associated industry device according to the corresponding associated relationship; the device control operation comprises at least one of a safety warning operation, a linkage notification operation and an interactive control operation.

7. An industry object model based device unified monitoring and control system, characterized by, The system comprises: an acquisition module configured to acquire industry device data and device protocol rules corresponding to at least two target industries; a determination module configured to determine a unified mapping relationship between the device protocol rules based on a prediction algorithm, comprising: determining, for any two target industries, a mapping prediction model corresponding to the two target industries; inputting the device protocol rules corresponding to the two target industries into the mapping prediction model to obtain an output rule mapping relationship between the device protocol rules corresponding to the two target industries; performing clustering division on all device parameters in all device protocol rules to obtain a plurality of device parameter sets; determining, for each device parameter set, a relationship set of all associated relationships corresponding to each device parameter in the device parameter set; calculating an intersection of all relationship sets in the device parameter set to obtain a set relationship corresponding to the device parameter set; determining a set vector representation corresponding to the device relationship set based on a vector algorithm; determining the set vector representation corresponding to all device relationship sets and the corresponding set relationship as a unified mapping relationship; a modeling module configured to establish a unified object model corresponding to all target industries according to the unified mapping relationship and the industry device data; a control module configured to, when receiving device communication data corresponding to any target industry, determine a cross-industry control operation corresponding to the device communication data according to the unified object model; the cross-industry control operation is used to control devices of any other target industry.

8. An industry object model based device unified monitoring and control system, characterized by, The system comprises: a memory storing executable program code; a processor coupled to the memory; the processor invokes the executable program code stored in the memory to execute the industry object model-based device unified monitoring and control method according to any one of claims 1-6.

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