Intelligent central control screen supporting artificial intelligence detection analysis algorithm

Abstract

The application provides an intelligent central control screen supporting artificial intelligence detection analysis algorithm, comprising: a data acquisition module, which is used for continuously collecting multi-category business data in an application scenario; a data transmission module, which is used for transmitting the obtained multi-category business data to an artificial intelligence analysis module; the artificial intelligence analysis module, which is used for automatically recognizing and matching the multi-category business data based on a multi-dimensional artificial intelligence detection analysis algorithm, and performing strategy analysis on the business data of the corresponding category based on the automatic recognition and matching result; a decision module, which is used for performing business coordination and association on the strategy analysis result in the application scenario, and performing decision analysis based on the business coordination and association result; and a control module, which is used for performing control operation on the equipment corresponding to each category of business based on the decision analysis result. The reliability and accuracy of the analysis on different categories of business data are ensured, and the intelligent level and processing efficiency of the intelligent central control screen are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, in particular to an intelligent central control screen supporting artificial intelligence detection analysis algorithm. BACKGROUND

[0002] At present, with the continuous development of smart home and smart office and other fields, the application of intelligent central control screen is more and more widely, as a central control and information interaction center device, the intelligent central control screen needs to accurately analyze and process various input information, so as to realize effective control and interaction function;

[0003] However, the traditional central control screen often has limitations in processing information, and the information recognition in complex environment is not accurate, the integration and analysis ability of multi-source information is insufficient and the analysis is not accurate, so as to make reliable decision according to the actual situation, and then cannot control the working condition of different devices, greatly reduces the intelligent level and control management effect of intelligent central control screen;

[0004] Therefore, in order to overcome the above defects, the present application provides an intelligent central control screen supporting artificial intelligence detection analysis algorithm. SUMMARY

[0005] The present application provides an intelligent central control screen supporting artificial intelligence detection analysis algorithm, which continuously collects multi-category business data in application scenarios, and transmits the multi-category business data to the artificial intelligence analysis module, so as to integrate the multi-category business data by the artificial intelligence analysis module, and provides reliable data for comprehensive detection and analysis, secondly, the multi-dimensional artificial intelligence detection analysis algorithm automatically recognizes and matches the multi-category business data, and analyzes the corresponding business data according to the automatic recognition and matching result, ensures the reliability and accuracy of the analysis of different categories of business data, finally, the strategy analysis result is associated with business coordination, and the decision and control operation are carried out according to the business coordination result, improves the intelligent level and processing efficiency of intelligent central control screen, and further improves the control and management effect of other devices through intelligent central control screen.

[0006] The present application provides an intelligent central control screen supporting artificial intelligence detection analysis algorithm, which continuously collects multi-category business data in application scenarios, and transmits the multi-category business data to the artificial intelligence analysis module, so as to integrate the multi-category business data by the artificial intelligence analysis module, and provides reliable data for comprehensive detection and analysis, secondly, the multi-dimensional artificial intelligence detection analysis algorithm automatically recognizes and matches the multi-category business data, and analyzes the corresponding business data according to the automatic recognition and matching result, ensures the reliability and accuracy of the analysis of different categories of business data, finally, the strategy analysis result is associated with business coordination, and the decision and control operation are carried out according to the business coordination result, improves the intelligent level and processing efficiency of intelligent central control screen, and further improves the control and management effect of other devices through intelligent central control screen.

[0007] The data acquisition module is used for continuously collecting multi-category business data in application scenarios;

[0008] The data transmission module is used for transmitting the obtained multi-category business data to the artificial intelligence analysis module;

[0009] An artificial intelligence analysis module is configured to automatically identify and match multi-category business data based on a multi-dimensional artificial intelligence detection analysis algorithm, and perform strategy analysis on the business data of corresponding categories based on the automatic identification and matching results.

[0010] A decision module is configured to coordinate and associate the strategy analysis results in the application scenario, and perform decision analysis based on the coordination and association results.

[0011] A control module is configured to control the devices corresponding to each category of business based on the decision analysis results.

[0012] Preferably, an intelligent central control screen supporting an artificial intelligence detection analysis algorithm includes a data acquisition module, which comprises:

[0013] A requirement determination unit is configured to extract the scene features of the application scenario, and determine the device categories required for the application scenario to run and the behavior data acquisition direction of the user object based on the scene features.

[0014] A device configuration unit is configured to determine a required sensor set based on the device categories and the behavior data acquisition direction of the user object, and adapt the working parameters of each sensor in the sensor set based on the acquisition requirements.

[0015] A data acquisition unit is configured to control each sensor to continuously acquire the running data of the running device and the behavior data of the user object according to the device categories and the behavior data acquisition direction of the user object based on the adaptation results, and obtain multi-category business data in the application scenario based on the continuous acquisition results.

[0016] Preferably, an intelligent central control screen supporting an artificial intelligence detection analysis algorithm includes a data transmission module, which comprises:

[0017] A transmission preparation unit is configured to construct real-time data flow channels of sensors and the artificial intelligence analysis module for different categories of business data, and determine the unit acquisition amount of different categories of business data based on the acquisition requirements.

[0018] A transmission configuration unit is configured to route and allocate bandwidth for each real-time data flow channel based on the unit acquisition amount, and extract the unit carrier capacity of a preset data carrier in the real-time data flow channel based on the routing and bandwidth allocation results.

[0019] A data transmission unit is configured to segment each category of business data after preprocessing based on the unit carrier capacity, and carry and transmit the segmented business data to the artificial intelligence analysis module according to the preset data carrier.

[0020] Preferably, an intelligent central control screen supporting an artificial intelligence detection analysis algorithm includes a data transmission unit, which comprises:

[0021] The space division subunit is used for:

[0022] The cache space of each category of business data is adaptively determined in the artificial intelligence analysis module based on the number of categories of the business data and the data cycle cache amount of each category of business data, and the preset storage area in the artificial intelligence analysis module is first divided based on the cache space;

[0023] The storage space corresponding to the first division result is secondly divided based on the data type contained in each category of business data;

[0024] The data cache subunit is used for distributing and caching the multi-category business data in the corresponding area in the artificial intelligence analysis module based on the first division result and the second division result.

[0025] Preferably, an intelligent central control screen supporting an artificial intelligence detection analysis algorithm includes an artificial intelligence analysis module, which includes:

[0026] The data acquisition unit is used for acquiring the obtained multi-category business data and performing data type division on each category of business data;

[0027] The data preprocessing unit is used for determining the preprocessing index and index quantization value of different data types under each category of business data based on the business attribute of the multi-category business data, and performing parallel preprocessing on the business data of the corresponding data type based on the preprocessing index and index quantization value;

[0028] The result aggregation unit is used for aggregating the parallel preprocessing results of different data types under each category of business data, and obtaining the preprocessing result of each category of business data based on the aggregation result.

[0029] Preferably, an intelligent central control screen supporting an artificial intelligence detection analysis algorithm includes an artificial intelligence analysis module, which includes:

[0030] The data acquisition unit is used for:

[0031] acquiring the obtained multi-category business data, reading the multi-category business data, and determining the data visualization representation of each category of business data;

[0032] determining the data category of each category of business data based on the data visualization representation, simultaneously extracting the business application range of the multi-dimensional artificial intelligence detection analysis algorithm in the host control end, and determining the first artificial intelligence detection analysis algorithm set available for each category of business data based on the matching relationship between the data category and the business application range;

[0033] The automatic recognition matching unit is used for:

[0034] extracting the business characteristics of each artificial intelligence detection and analysis algorithm in the first artificial intelligence detection and analysis algorithm set, and determining the basic parameter requirements of each artificial intelligence detection and analysis algorithm for the to-be-processed data based on the business characteristics;

[0035] analyzing the number of each type of business, determining the multi-dimensional basic characteristics of each type of business data, and performing strong correlation screening on the first artificial intelligence detection and analysis algorithm set available for each type of business data based on the multi-dimensional basic characteristics and the basic parameter requirements, to obtain a second artificial intelligence detection and analysis algorithm set;

[0036] Based on the strong correlation screening result, the multi-dimensional basic characteristics of each type of business data are used to determine the analysis nodes of the corresponding type of business data in each artificial intelligence detection and analysis algorithm in the second artificial intelligence detection and analysis algorithm set.

[0037] Based on the execution order of the analysis nodes, each artificial intelligence detection and analysis algorithm required for each type of business data is logically combined to complete the automatic recognition and matching of the multi-type business data.

[0038] Preferably, an intelligent central control screen supporting artificial intelligence detection and analysis algorithms, an artificial intelligence analysis module, includes:

[0039] A data division unit is configured to determine a mapping relationship between multi-dimensional artificial intelligence detection and analysis algorithms and multi-type business data based on the automatic recognition and matching result, and perform subject division on the business data corresponding to each dimension artificial intelligence detection and analysis algorithm based on the mapping relationship.

[0040] A data analysis unit is configured to retrieve a full-process analysis link of each dimension artificial intelligence detection and analysis algorithm based on the subject division result, and perform policy analysis on the subject-divided business data in sequence based on the execution conditions and order of the full-process analysis link to obtain a corresponding policy analysis result.

[0041] An analysis result summarizing unit is configured to:

[0042] Record the intermediate analysis result of each analysis link in the full-process analysis link, and obtain traceability data of each type of business data based on the record result.

[0043] Generate a traceability relationship display table based on the structural relationship between the traceability data and the policy analysis result, and associate and bind the traceability relationship display table with the corresponding policy analysis result.

[0044] Preferably, an intelligent central control screen supporting artificial intelligence detection and analysis algorithms, a decision module, includes:

[0045] The analysis unit is configured to analyze the results of the strategy to locate each type of service, determine target decisions under each type of service, and determine logical labels between the target decisions.

[0046] The service coordination association unit is configured to read execution parameters of the corresponding services under the target decisions, and simultaneously perform service coordination association on each type of service according to the logical labels.

[0047] The control instruction generation unit is configured to:

[0048] take the execution parameters of the corresponding services under the target decisions as first control instructions for controlling the devices corresponding to the corresponding types of services, associate the first control instructions for the devices corresponding to the multiple types of services according to the service coordination association results, and generate a first control instruction sequence.

[0049] generate a second control instruction according to the first control instruction sequence.

[0050] Preferably, the intelligent central control screen supporting the artificial intelligence detection analysis algorithm includes a control module, which includes:

[0051] The decision result acquisition unit is configured to acquire decision control instructions obtained based on the service coordination association results.

[0052] The parameter acquisition unit is configured to control the devices corresponding to the multiple types of services in the application scenario based on the decision control instructions, and acquire data parameters of the devices corresponding to each type of service in real time during the control process.

[0053] The information prompting unit is configured to:

[0054] acquire safety parameter ranges of the devices corresponding to each type of service, and compare the data parameters corresponding to each type of service with the corresponding safety parameter ranges.

[0055] When the data parameters corresponding to each type of service belong to the corresponding safety parameter ranges, a first information prompt is generated.

[0056] When the data parameters corresponding to each type of service do not belong to the corresponding safety parameter ranges, a second information prompt is generated.

[0057] Preferably, the information prompting unit of the intelligent central control screen supporting the artificial intelligence detection analysis algorithm includes:

[0058] The abnormal area determination subunit is configured to, when the second information prompt is generated, receive the second information prompt based on the intelligent central control screen, and locate an abnormal area of the application scenario according to the second information prompt.

[0059] The number determination subunit is configured to acquire a region code of the abnormal area, and retrieve a picture monitoring device number of the abnormal area in a preset monitoring management library according to the region code.

[0060] The monitoring picture display subunit is used for positioning a target picture monitoring device according to a picture monitoring device number and calling and displaying a real-time monitoring picture of the target picture monitoring device for monitoring an abnormal area based on the intelligent central control screen.

[0061] Compared with the prior art, the present application has the following advantages:

[0062] By continuously collecting multi-category business data in application scenarios and transmitting the multi-category business data to the artificial intelligence analysis module, the artificial intelligence analysis module can integrate the multi-category business data, providing reliable data for comprehensive detection and analysis. In addition, the multi-dimensional artificial intelligence detection and analysis algorithm automatically identifies and matches the multi-category business data, and performs strategy analysis on the corresponding business data according to the automatic identification and matching results, ensuring the reliability and accuracy of the analysis of different categories of business data. Finally, the strategy analysis results are associated with business coordination, and decision-making and control operations are performed according to the business coordination results, improving the intelligent level and processing efficiency of the intelligent central control screen, and thus improving the control and management effect of other devices through the intelligent central control screen.

[0063] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and achieved by the structure specifically pointed out in the present application document.

[0064] The technical solutions of the present application will be further described in detail below with the help of the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0065] The accompanying drawings are used to provide a further understanding of the present application, and constitute a part of the specification, together with the embodiments of the present application, to explain the present application, and do not constitute a limitation on the present application. In the drawings:

[0066] Figure 1 It is a structure diagram of the intelligent central control screen supporting the artificial intelligence detection and analysis algorithm in the embodiment of the present application;

[0067] Figure 2 It is a structure diagram of the data acquisition module in the intelligent central control screen supporting the artificial intelligence detection and analysis algorithm in the embodiment 2 of the present application;

[0068] Figure 3 It is a structure diagram of the artificial intelligence analysis module in the intelligent central control screen supporting the artificial intelligence detection and analysis algorithm in the embodiment 6 of the present application. DETAILED DESCRIPTION

[0069] The preferred embodiments of the present application are described below in conjunction with the accompanying drawings, in which it is understood that the preferred embodiments described below are merely used to illustrate and explain the present application, and are not used to limit the present application.

[0070] Embodiment 1

[0071] The embodiment provides an intelligent central control screen supporting an artificial intelligence detection analysis algorithm, as shown in Figure 1 The intelligent central control screen comprises the following components:

[0072] a data collection module, configured to continuously collect multi-category business data in an application scenario;

[0073] a data transmission module, configured to transmit the obtained multi-category business data to an artificial intelligence analysis module;

[0074] the artificial intelligence analysis module, configured to automatically identify and match the multi-category business data based on a multi-dimensional artificial intelligence detection analysis algorithm, and perform strategy analysis on the business data of a corresponding category based on the automatic identification and matching result;

[0075] a decision module, configured to perform business coordination and association on the strategy analysis result in the application scenario, and perform decision analysis based on the business coordination and association result;

[0076] a control module, configured to perform control operation on the equipment corresponding to each category of business based on the decision analysis result.

[0077] In the embodiment, the application scenario can include multiple application scenarios, such as intelligent health monitoring and intelligent home application scenarios.

[0078] In the embodiment, the multi-category business data refers to data of different categories, such as temperature data, humidity data, and human body sign data.

[0079] In the embodiment, the multi-dimensional artificial intelligence detection analysis algorithm refers to a preset artificial intelligence detection analysis algorithm of different types, which can process and analyze different types of business data, including text data, image data, and audio data.

[0080] In the embodiment, the automatic identification and matching refers to assigning the multi-category business data to the corresponding artificial intelligence detection analysis algorithm, so as to effectively process the corresponding business data by using an effective artificial intelligence detection analysis algorithm.

[0081] In the embodiment, the strategy analysis refers to analyzing the corresponding business data according to the analysis process and analysis scheme of the multi-dimensional artificial intelligence detection analysis algorithm.

[0082] In this embodiment, the business coordination association refers to associating different categories of business data analysis results under the application scenario. For example, when the application scenario is intelligent health monitoring, the temperature, humidity and user's vital data of the current environment need to be associated to monitor the user's health condition.

[0083] In this embodiment, the decision analysis and control operation refer to determining the control direction and specific control degree of different devices under the application environment according to the business coordination association result, and then performing corresponding control operation on the devices according to the determined control direction and specific control degree.

[0084] The working principle and beneficial effects of the above technical solution are: by continuously collecting multi-category business data under the application scenario, and transmitting the multi-category business data to the artificial intelligence analysis module, the artificial intelligence analysis module can integrate the multi-category business data, providing reliable data for comprehensive detection and analysis. Secondly, the multi-dimensional artificial intelligence detection and analysis algorithm automatically identifies and matches the multi-category business data, and performs strategy analysis on the corresponding business data according to the automatic identification and matching result, ensuring the reliability and accuracy of the analysis of different categories of business data. Finally, the strategy analysis result is associated with business coordination, and decision and control operation are performed according to the business coordination association result, improving the intelligent level and processing efficiency of the intelligent central control screen, and thus improving the control and management effect of other devices through the intelligent central control screen.

[0085] Embodiment 2:

[0086] Based on embodiment 1, this embodiment provides an intelligent central control screen supporting artificial intelligence detection and analysis algorithm, as shown in Figure 2 The data acquisition module includes:

[0087] The demand determination unit is configured to extract the scene features of the application scenario, and determine the device categories required by the application scenario and the behavior data acquisition direction of the user object based on the scene features.

[0088] The device configuration unit is configured to determine the required sensor set based on the device category and the behavior data acquisition direction of the user object, and adapt the working parameters of each sensor in the sensor set based on the acquisition requirements.

[0089] The data acquisition unit is configured to control each sensor to continuously collect the running data of the running device and the behavior data of the user object according to the device category and the behavior data acquisition direction of the user object based on the adaptation result, and obtain multi-category business data under the application scenario based on the continuous collection result.

[0090] In this embodiment, the scene features refer to the scene type and scene layout information of the application scenario.

[0091] In this embodiment, the direction of behavior data collection refers to the type of user behavior data that needs to be collected.

[0092] In this embodiment, the acquisition requirements include the acquisition sensitivity and the acquisition time period.

[0093] The beneficial effects of the above technical solution are: it enables the determination of the required sensor set, and the effective parameter adaptation of each sensor according to the acquisition requirements, and finally enables reliable acquisition of multi-category business data based on the adapted sensors, ensuring the accuracy and comprehensiveness of the acquired multi-category business data.

[0094] Example 3:

[0095] Based on Example 1, this example provides a smart central control screen that supports artificial intelligence detection and analysis algorithms, including a data transmission module:

[0096] The transmission preparation unit is used to build a real-time data stream channel between the sensor and the artificial intelligence analysis module for different types of business data, and to determine the unit collection volume of different types of business data based on the collection requirements.

[0097] The transmission configuration unit is used to route and allocate bandwidth for each real-time data stream channel based on the unit acquisition volume, and extract the unit carrier capacity of the preset data carrier in the real-time data stream channel based on the routing and bandwidth allocation results.

[0098] The data transmission unit is used to divide the preprocessed business data of each category into segments based on the unit carrier capacity, and to carry and transmit the segmented business data to the artificial intelligence analysis module according to the preset data carrier.

[0099] In this embodiment, implementing a data flow channel refers to a data path used to transmit data collected by the sensor to the artificial intelligence analysis module.

[0100] In this embodiment, the preset data carrier is known in advance and is the carrier used to carry the collected data in the real-time data stream channel, that is, the medium for transmitting the data.

[0101] In this embodiment, the unit carrier capacity refers to the number of multiple types of business data that each preset data carrier can carry in a unit space.

[0102] The beneficial effects of the above technical solution are: it ensures that the collected multi-category business data is transmitted to the artificial intelligence analysis module through the constructed real-time data stream channel and the preset data carrier in the real-time data stream channel, providing data support for the analysis and control of the intelligent central control screen.

[0103] Example 4:

[0104] Based on embodiment 3, the present embodiment provides an intelligent central control screen supporting artificial intelligence detection analysis algorithm, and a data transmission unit, comprising:

[0105] a space division subunit, configured to:

[0106] based on the number of categories of business data and the data period cache amount of each category of business data, adaptively determine the cache space of each category of business data in the artificial intelligence analysis module, and perform first division on the preset storage area in the artificial intelligence analysis module based on the cache space;

[0107] based on the data types contained in each category of business data, perform second division on the storage space corresponding to the first division result;

[0108] a data cache subunit, configured to perform distributed caching of the multi-category business data in the corresponding area in the artificial intelligence analysis module based on the first division result and the second division result.

[0109] In the embodiment, the data period cache amount refers to the size of the amount of data collected in each data collection period for each category of business data.

[0110] In the embodiment, the first division refers to dividing the preset storage space according to the data period cache amount of each category of business data, which aims to effectively cache each category of business data.

[0111] In the embodiment, the second division refers to dividing the first division result according to the data types, and storing different types of data separately.

[0112] The above technical solution has the beneficial effects of ensuring that the collected multi-category business data is stored in order in the preset storage area, ensuring the reliability of the multi-category business data storage, and providing convenience and protection for the intelligent central control screen to perform intelligent control operations.

[0113] Embodiment 5:

[0114] Based on embodiment 1, the present embodiment provides an intelligent central control screen supporting artificial intelligence detection analysis algorithm, and an artificial intelligence analysis module, comprising:

[0115] a data acquisition unit, configured to acquire the obtained multi-category business data, and divide each category of business data by data type;

[0116] a data preprocessing unit, configured to determine the preprocessing indicators and index quantization values of different data types for each category of business data based on the business attributes of the multi-category business data, and perform parallel preprocessing on the business data of the corresponding data types based on the preprocessing indicators and index quantization values.

[0117] The result aggregation unit is used to aggregate the parallel preprocessing results of different data types under each category of business data, and obtain the preprocessing results of each category of business data based on the aggregated results.

[0118] In this embodiment, business attributes refer to the types of businesses corresponding to multiple categories of business attributes.

[0119] In this embodiment, the preprocessing index refers to the limiting index when processing different types of data in different categories of business data, such as temperature index and humidity index.

[0120] In this embodiment, the index quantification value refers to the specific limited value corresponding to the preprocessing index, such as a temperature limit of 27 degrees Celsius.

[0121] In this embodiment, parallel preprocessing refers to performing corresponding processing operations on different types of business data simultaneously.

[0122] The beneficial effects of the above technical solution are: it ensures the effectiveness of preprocessing multi-category business data, and at the same time, improves the accuracy and reliability of the final multi-category business data, thus providing a guarantee for the final intelligent central control screen control.

[0123] Example 6:

[0124] Based on Example 1, this example provides a smart central control screen that supports artificial intelligence detection and analysis algorithms, such as... Figure 3 As shown, the artificial intelligence analysis module includes:

[0125] The data retrieval unit is used for:

[0126] The system acquires and reads the multi-category business data to determine the data visualization representation for each category of business data.

[0127] Based on data visualization representation, the data type of each category of business data is determined. At the same time, the business application scope of multi-dimensional artificial intelligence detection and analysis algorithms in the main control terminal is extracted, and the first set of artificial intelligence detection and analysis algorithms available for each category of business data is determined based on the matching relationship between data type and business application scope.

[0128] Automatic identification and matching unit, used for:

[0129] Extract the business characteristics of each artificial intelligence detection and analysis algorithm in the first set of artificial intelligence detection and analysis algorithms, and determine the basic parameter requirements of each artificial intelligence detection and analysis algorithm for the data to be processed based on the business characteristics;

[0130] analyze each category of service data, determine the multi-dimensional basic characteristics of each category of service data, and perform strong correlation screening on a first set of artificial intelligence detection and analysis algorithms available for each category of service data based on the multi-dimensional basic characteristics and basic parameter requirements, to obtain a second set of artificial intelligence detection and analysis algorithms;

[0131] Based on the strong correlation screening result, each artificial intelligence detection and analysis algorithm in the second set of artificial intelligence detection and analysis algorithms is determined for the analysis node of the corresponding category of service data according to the multi-dimensional basic characteristics of each category of service data.

[0132] Based on the execution order of the analysis node, each artificial intelligence detection and analysis algorithm required for each category of service data is logically combined to complete automatic recognition and matching of multiple categories of service data.

[0133] In this embodiment, the data visualization representation refers to the data structure and data characteristics presented by each category of service data.

[0134] In this embodiment, the business application range refers to the business categories applicable to different artificial intelligence detection and analysis algorithms in the host end, for example, the artificial intelligence detection and analysis algorithms corresponding to image and text data are different.

[0135] In this embodiment, the business characteristics refer to the processing methods of each artificial intelligence detection and analysis algorithm when processing service data.

[0136] In this embodiment, the basic parameter requirement refers to the format requirement and composition requirement of each artificial intelligence detection and analysis algorithm for the data to be processed.

[0137] In this embodiment, the multi-dimensional basic characteristics refer to the value range, data structure, and association relationship between data corresponding to each category of business attribute.

[0138] In this embodiment, the strong correlation screening refers to screening intelligent detection and analysis algorithms with high correlation with each category of service data from the available first set of artificial intelligence detection and analysis algorithms.

[0139] In this embodiment, the analysis result refers to the specific data content when each artificial intelligence detection and analysis algorithm analyzes the corresponding category of service data.

[0140] The beneficial effects of the above technical solutions are: ensuring effective determination and logical combination of the intelligent detection and analysis algorithm corresponding to each category of service data in the multiple categories of service data, thereby providing a guarantee for reliable and comprehensive analysis of the multiple categories of service data, and ensuring the analysis and control reliability of the intelligent central control screen.

[0141] Embodiment 7:

[0142] Based on the embodiment 1, the embodiment provides an intelligent central control screen supporting artificial intelligence detection analysis algorithm, and an artificial intelligence analysis module, which comprises:

[0143] A data division unit is configured to determine a mapping relationship between the multi-dimensional artificial intelligence detection analysis algorithm and the multi-category business data based on the automatic identification matching result, and perform subject division on the business data corresponding to each dimension artificial intelligence detection analysis algorithm based on the mapping relationship.

[0144] A data analysis unit is configured to call a full-process analysis link of each dimension artificial intelligence detection analysis algorithm based on the subject division result, and sequentially perform policy analysis on the subject-divided business data based on the execution conditions and sequence of the full-process analysis link to obtain a corresponding policy analysis result.

[0145] An analysis result aggregation unit is configured to:

[0146] record the intermediate analysis result of each analysis link in the full-process analysis link, and obtain traceability data of each category of business data based on the record result;

[0147] generate a traceability relationship display table based on the structural relationship between the traceability data and the policy analysis result, and associate and bind the traceability relationship display table with the corresponding policy analysis result.

[0148] In the embodiment, the execution subject division refers to the division of artificial intelligence detection analysis algorithms corresponding to different business data, aiming to ensure the adaptability of business data and artificial intelligence detection analysis algorithms.

[0149] In the embodiment, the full-process analysis link refers to all steps and links of each dimension artificial intelligence detection analysis algorithm when processing the corresponding business data.

[0150] In the embodiment, the traceability data refers to the original data corresponding to each category of business data.

[0151] In the embodiment, the traceability relationship display table refers to a table constructed according to the traceability data and the policy analysis result, which is used to represent the business data corresponding to different policy analysis results.

[0152] The beneficial effects of the above technical solution are: ensuring the adaptability between artificial intelligence detection analysis algorithm and business data, thereby improving the accuracy and reliability of the policy analysis of the artificial intelligence detection analysis algorithm on the business data, and further providing protection for the corresponding equipment control.

[0153] Embodiment 8:

[0154] Based on the embodiment 1, the embodiment provides an intelligent central control screen supporting artificial intelligence detection analysis algorithm, and a decision module, which comprises:

[0155] an analysis unit configured to analyze each type of service according to a policy analysis result, determine target decisions under each type of service, and logical labels between the target decisions;

[0156] a service coordination and association unit configured to read execution parameters of the corresponding services under the target decisions, and simultaneously perform service coordination and association on each type of service according to the logical labels;

[0157] a control instruction generation unit configured to:

[0158] take the execution parameters of the corresponding services under the target decisions as first control instructions for controlling the devices corresponding to the corresponding types of services, associate the first control instructions of the devices corresponding to the multiple types of services according to a service coordination and association result, and generate a first control instruction sequence;

[0159] generate a second control instruction according to the first control instruction sequence.

[0160] In this embodiment, the target decisions refer to processing schemes or control schemes corresponding to each type of service.

[0161] In this embodiment, the logical labels are used to represent the association relationship between different target decisions.

[0162] In this embodiment, the execution parameters refer to execution actions or behaviors that need to be performed by the corresponding services under the target decisions.

[0163] The above technical solution has the beneficial effect of generating control instructions for different devices according to decision analysis results, thereby providing a guarantee for effectively controlling different devices and ensuring the accuracy and reliability of the control of different devices.

[0164] Embodiment 9

[0165] Based on the embodiment 1, the embodiment provides an intelligent central control screen supporting artificial intelligence detection and analysis algorithm, and a control module, which comprises:

[0166] a decision result acquisition unit configured to acquire decision control instructions obtained based on a service coordination and association result;

[0167] a parameter acquisition unit configured to control devices corresponding to multiple types of services in an application scenario based on the decision control instructions, and acquire data parameters of the devices corresponding to each type of service in real time during the control process;

[0168] an information prompting unit configured to:

[0169] acquire a safety parameter range of the devices corresponding to each type of service, and compare the data parameters corresponding to each type of service with the corresponding safety parameter range;

[0170] When the data parameter corresponding to each category of service belongs to the corresponding safety parameter range, a first information prompt is generated;

[0171] When the data parameter corresponding to each category of service does not belong to the corresponding safety parameter range, a second information prompt is generated.

[0172] In this embodiment, the data parameter refers to the working data of the device collected in real time during the control process of the device.

[0173] In this embodiment, the safety parameter range refers to the parameter value range corresponding to each device during normal operation.

[0174] In this embodiment, the first information prompt refers to the generation of a control qualified for each device when the data parameter corresponding to each category of service belongs to the corresponding safety parameter range.

[0175] In this embodiment, the second information prompt refers to the generation of a control unqualified for each device when the data parameter corresponding to each category of service does not belong to the corresponding safety parameter range.

[0176] The beneficial effects of the above technical solutions are: ensuring effective control of the corresponding device according to the obtained decision control instruction, and real-time detection of the control process, realizing real-time and effective monitoring of the control effect, and guaranteeing the control reliability of the device.

[0177] Embodiment 10:

[0178] Based on embodiment 9, the embodiment provides an intelligent central control screen supporting artificial intelligence detection analysis algorithm, and the information prompt unit comprises:

[0179] The abnormal area determination subunit is configured to, when the second information prompt is generated, receive the second information prompt based on the intelligent central control screen, and locate the abnormal area of the application scene according to the second information prompt;

[0180] The number determination subunit is configured to obtain the area code of the abnormal area, and call the picture monitoring device number of the abnormal area in the preset monitoring management library according to the area code;

[0181] The monitoring picture display subunit is configured to locate the target picture monitoring device according to the picture monitoring device number, and call and display the real-time monitoring picture of the target picture monitoring device monitoring the abnormal area based on the intelligent central control screen.

[0182] In this embodiment, the abnormal area refers to the area or position that exists abnormally in the application scene according to the second information prompt.

[0183] In this embodiment, the area code refers to a symbol or number capable of representing identity information of different areas.

[0184] In this embodiment, the preset monitoring management library is constructed in advance and is used to store the picture monitoring device numbers corresponding to different areas.

[0185] The working principle and beneficial effects of the above technical solution are as follows: the abnormal area of the application scene is quickly located according to the second information prompt, the area code of the abnormal area and the picture monitoring device number contained in the abnormal area are determined, and then the corresponding real-time monitoring picture is called and displayed in the intelligent central control screen according to the picture monitoring device number, thereby improving the effect of controlling and managing the equipment according to the analysis result of the artificial intelligence detection and analysis algorithm, and greatly improving the intelligent level of the intelligent central control screen.

[0186] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. An intelligent central control screen supporting artificial intelligence detection analysis algorithm, characterized in that, The application comprises: a data acquisition module for continuously acquiring multi-category business data in an application scenario; a data transmission module for transmitting the obtained multi-category business data to an artificial intelligence analysis module; an artificial intelligence analysis module for automatically identifying and matching the multi-category business data based on a multi-dimensional artificial intelligence detection and analysis algorithm, and performing strategy analysis on the business data of the corresponding category based on the automatic identification and matching result; a decision module for business coordination and association of the strategy analysis result in the application scenario, and decision analysis based on the business coordination and association result; a control module for controlling the operation of the equipment corresponding to each category of business based on the decision analysis result; The artificial intelligence analysis module comprises: a data retrieval unit for: obtaining the multi-category business data and reading the multi-category business data to determine the data visualization representation of each category of business data; determining the data category of each category of business data based on the data visualization representation, and extracting the business application range of the multi-dimensional artificial intelligence detection and analysis algorithm in the host end, and determining the first artificial intelligence detection and analysis algorithm set available for each category of business data based on the matching relationship between the data category and the business application range; an automatic identification and matching unit for: extracting the business characteristics of each artificial intelligence detection and analysis algorithm in the first artificial intelligence detection and analysis algorithm set, and determining the basic parameter requirements of each artificial intelligence detection and analysis algorithm for the to-be-processed data based on the business characteristics; analyzing each category of business data to determine the multi-dimensional basic features of each category of business data, and performing strong association screening on the first artificial intelligence detection and analysis algorithm set available for each category of business data based on the multi-dimensional basic features and the basic parameter requirements, to obtain a second artificial intelligence detection and analysis algorithm set; determining the analysis node of each artificial intelligence detection and analysis algorithm in the second artificial intelligence detection and analysis algorithm set for the corresponding category of business data based on the multi-dimensional basic features of each category of business data according to the strong association screening result; logically combining each artificial intelligence detection and analysis algorithm required for each category of business data based on the execution order of the analysis node, to complete the automatic identification and matching of the multi-category business data. 2.The intelligent central control screen supporting artificial intelligence detection analysis algorithm of claim 1, wherein, The data acquisition module comprises: a requirement determination unit for extracting the scene features of the application scenario, and determining the device categories required for the operation of the application scenario and the behavior data acquisition direction of the user object based on the scene features; a device configuration unit for determining the required sensor set based on the device category and the behavior data acquisition direction of the user object, and adapting the working parameters of each sensor in the sensor set based on the acquisition requirements; a data acquisition unit for controlling each sensor to continuously acquire the operation data of the running equipment and the behavior data of the user object based on the device category and the behavior data acquisition direction of the user object based on the adaptation result, and obtaining the multi-category business data in the application scenario based on the continuous acquisition result. 3.The intelligent center control screen supporting artificial intelligence detection analysis algorithm of claim 1, wherein, The data transmission module comprises: The transmission preparation unit is configured to construct real-time data flow channels of sensors and artificial intelligence analysis modules of different types of service data, and determine unit collection amounts of the different types of service data based on collection requirements; The transmission configuration unit is configured to route and allocate bandwidth to each real-time data flow channel based on the unit collection amounts, and extract unit carrier capacities of preset data carriers in the real-time data flow channels based on routing and bandwidth allocation results; The data transmission unit is configured to segment each type of preprocessed service data based on the unit carrier capacities, and carry and transmit the segmented service data to the artificial intelligence analysis modules according to the preset data carriers.

4. The intelligent central control screen supporting artificial intelligence detection analysis algorithm according to claim 3, characterized in that, The data transmission unit comprises: The space division subunit is configured to: adaptively determine a cache space of each type of service data in the artificial intelligence analysis module based on a number of types of the service data and a data period cache amount of each type of service data, and first divide a preset storage area in the artificial intelligence analysis module based on the cache space; second divide a storage space corresponding to the first division result based on data types contained in each type of service data; The data cache subunit is configured to distribute the multiple types of service data in corresponding areas in the artificial intelligence analysis module based on the first division result and the second division result. 5.The intelligent center control screen supporting artificial intelligence detection analysis algorithm of claim 1, wherein, The artificial intelligence analysis module comprises: The data acquisition unit is configured to obtain the multiple types of service data, and divide each type of service data by data type; The data preprocessing unit is configured to determine preprocessing indicators and indicator quantization values of different data types of each type of service data based on service attributes of the multiple types of service data, and perform parallel preprocessing on service data of the corresponding data types based on the preprocessing indicators and the indicator quantization values, respectively; The result aggregation unit is configured to aggregate parallel preprocessing results of different data types of each type of service data, and obtain a preprocessing result of each type of service data based on the aggregation result. 6.The intelligent center control screen supporting artificial intelligence detection analysis algorithm of claim 1, wherein, The artificial intelligence analysis module comprises: The data division unit is configured to determine a mapping relationship between multi-dimensional artificial intelligence detection analysis algorithms and the multiple types of service data based on automatic recognition matching results, and perform subject division on service data corresponding to each dimension of artificial intelligence detection analysis algorithm based on the mapping relationship; The data analysis unit is configured to call full-process analysis links of each dimension of artificial intelligence detection analysis algorithm based on the subject division result, and sequentially perform strategy analysis on the subject-divided service data based on execution conditions and sequences of the full-process analysis links to obtain corresponding strategy analysis results; The analysis result aggregation unit is configured to: record intermediate analysis results of each analysis link in the full-process analysis links, and obtain traceability data of each type of service data based on the record result; generate a traceability relationship display table based on a structural relationship between the traceability data and the strategy analysis results, and associate and bind the traceability relationship display table with the corresponding strategy analysis results. 7.The intelligent center control screen supporting artificial intelligence detection analysis algorithm of claim 1, wherein, The decision module comprises: The analysis unit is configured to locate each type of service according to the strategy analysis results, determine target decisions under each type of service and logical labels between the target decisions, and determine a target decision under each type of service based on the logical labels. The business coordination association unit is configured to read the execution parameters of the corresponding businesses under each target decision, and simultaneously perform business coordination association on each type of business according to the logical label; The control instruction generation unit is configured to: take the execution parameters of the corresponding businesses under each target decision as first control instructions for controlling the devices of the corresponding type of business, associate the first control instructions of the devices of the multiple types of business according to the business coordination association result, and generate a first control instruction sequence; generate a second control instruction according to the first control instruction sequence. 8.The intelligent center control screen supporting artificial intelligence detection analysis algorithm of claim 1, wherein, The control module includes: a decision result acquisition unit configured to acquire a decision control instruction obtained based on the business coordination association result; a parameter acquisition unit configured to control the devices corresponding to the multiple types of business in the application scenario based on the decision control instruction, and acquire data parameters of the devices corresponding to each type of business in real time during the control process; an information prompting unit configured to: acquire a safety parameter range of the devices corresponding to each type of business, and compare the data parameters corresponding to each type of business with the corresponding safety parameter range; generate a first information prompt when the data parameters corresponding to each type of business belong to the corresponding safety parameter range; and generate a second information prompt when the data parameters corresponding to each type of business do not belong to the corresponding safety parameter range. 9.The intelligent central control screen supporting artificial intelligence detection analysis algorithm of claim 8, wherein, The information prompting unit includes: an abnormal area determination subunit configured to, when the second information prompt is generated, receive the second information prompt based on the intelligent central control screen, and locate an abnormal area of the application scenario according to the second information prompt; a number determination subunit configured to acquire a region code of the abnormal area, and retrieve a picture monitoring device number of the abnormal area in a preset monitoring management library according to the region code; a monitoring picture display subunit configured to locate a target picture monitoring device according to the picture monitoring device number, and retrieve and display a real-time monitoring picture of the abnormal area monitored by the target picture monitoring device based on the intelligent central control screen.

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