Intelligent central control screen supporting artificial intelligence detection analysis algorithm

Abstract

The invention provides an intelligent central control screen supporting an artificial intelligence detection analysis algorithm, and the intelligent central control screen comprises a data collection module which is used for continuously collecting multi-class business data in an application scene; the data transmission module is used for transmitting the obtained multi-category service data to the artificial intelligence analysis module; the artificial intelligence analysis module is used for carrying out automatic identification matching on the multi-category service data based on a multi-dimensional artificial intelligence detection analysis algorithm, and carrying out strategy analysis on the service data of the corresponding category based on an automatic identification matching result; the decision module is used for carrying out business coordination association on the strategy analysis result in the application scene and carrying out decision analysis based on the business coordination association result; and the control module is used for performing control operation on equipment corresponding to each type of business based on the decision analysis result. The reliability and the accuracy of analysis of different types of service data are ensured, and the intelligent level and the processing efficiency of the intelligent central control screen are improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to an intelligent central control screen supporting artificial intelligence detection and analysis algorithms. Background Art

[0002] At present, with the continuous development of smart home and smart office fields, the application of smart central control screens is becoming more and more extensive. As a central device for centralized control and information interaction, the smart central control screen needs to accurately analyze and process various input information in order to achieve effective control and interaction functions;

[0003] However, traditional central control screens often have limitations when processing information. These include inaccurate information recognition in complex environments, insufficient integration and analysis capabilities for multi-source information, and inaccurate analysis. Consequently, they are unable to make reliable decisions based on actual conditions, leading to an inability to control the operating conditions of different devices. This significantly reduces the intelligence level and control management effectiveness of smart central control screens.

[0004] Therefore, in order to overcome the above-mentioned defects, the present invention provides an intelligent central control screen that supports artificial intelligence detection and analysis algorithms. Summary of the Invention

[0005] The present invention provides an intelligent central control screen that supports artificial intelligence detection and analysis algorithms, which is used to continuously collect multi-category business data in application scenarios and transmit the multi-category business data to the artificial intelligence analysis module, so as to facilitate the artificial intelligence analysis module to integrate the multi-category business data, and provide reliable data for comprehensive detection and analysis. Secondly, the multi-dimensional artificial intelligence detection and analysis algorithm is used to automatically identify and match the multi-category business data, and the corresponding business data is strategically analyzed according to the automatic identification and matching results, thereby ensuring the reliability and accuracy of the analysis of different categories of business data. Finally, the strategic analysis results are business coordinated and associated, and decision-making and control operations are performed according to the business coordination and association results, thereby improving the intelligence level and processing efficiency of the intelligent central control screen, and thereby improving the control and management effect of other devices through the intelligent central control screen.

[0006] The present invention provides an intelligent central control screen supporting artificial intelligence detection and analysis algorithms, including:

[0007] Data collection module, used to continuously collect multi-category business data in application scenarios;

[0008] A data transmission module, used to transmit the obtained multi-category business data to the artificial intelligence analysis module;

[0009] The artificial intelligence analysis module is used to automatically identify and match multiple categories of business data based on a multi-dimensional artificial intelligence detection and analysis algorithm, and to perform strategic analysis on the corresponding categories of business data based on the automatic identification and matching results;

[0010] The decision module is used to coordinate and associate the policy analysis results in the application scenario with the business, and perform decision analysis based on the business coordination and association results;

[0011] The control module is used to control the equipment corresponding to each type of business based on the decision analysis results.

[0012] Preferably, a smart central control screen supporting artificial intelligence detection and analysis algorithms, and a data acquisition module, includes:

[0013] A demand determination unit is used to extract the scenario characteristics of the application scenario and determine the device category required for the application scenario to run and the direction of collecting behavioral data of the user object based on the scenario characteristics;

[0014] The device configuration unit is used to determine the required sensor set based on the device type and the user object's behavioral data collection direction, and adapt the working parameters of each sensor in the sensor set based on the collection requirements;

[0015] The data collection unit is used to control each sensor to continuously collect the operating data of the running device and the behavioral data of the user object according to the device category and the behavioral data collection direction of the user object based on the adaptation results, and obtain multi-category business data in the application scenario based on the continuous collection results.

[0016] Preferably, a smart central control screen supporting artificial intelligence detection and analysis algorithms and a data transmission module include:

[0017] The transmission preparation unit is used to build real-time data flow channels between sensors and artificial intelligence analysis modules for different types of business data, and determine the unit collection volume of different types of business data based on collection requirements;

[0018] a transmission configuration unit, configured to perform routing and bandwidth allocation for each real-time data stream channel based on the unit collection amount, and extract the unit carrier capacity of a preset data carrier in the real-time data stream channel based on the routing and bandwidth allocation results;

[0019] The data transmission unit is used to segment the pre-processed business data of each category 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.

[0020] Preferably, a smart central control screen supporting artificial intelligence detection and analysis algorithms, and a data transmission unit, include:

[0021] Space division subunit, used for:

[0022] Adaptively determining a cache space for each category of business data in the artificial intelligence analysis module based on the number of categories of business data and the data cycle cache amount of each category of business data, and performing a first division of a preset storage area in the artificial intelligence analysis module based on the cache space;

[0023] Performing a second division on the storage space corresponding to the first division result based on the data type contained in each category of business data;

[0024] The data caching subunit is used to distribute and cache multi-category business data in corresponding areas 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 artificial intelligence detection and analysis algorithms, and an artificial intelligence analysis module, includes:

[0026] A data acquisition unit is used to acquire multiple categories of business data and classify each category of business data into different data types;

[0027] A data preprocessing unit is used to determine preprocessing indicators and indicator quantification values ​​for different data types under each category of business data based on the business attributes of multiple categories of business data, and to perform parallel preprocessing on the business data of corresponding data types based on the preprocessing indicators and indicator quantification values;

[0028] The result summarizing unit is used to summarize the parallel preprocessing results of different data types under each category of business data, and obtain the preprocessing result of each category of business data based on the summary results.

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

[0030] Data retrieval unit, used for:

[0031] Acquire and read the obtained multi-category business data to determine a data visualization representation of each category of business data;

[0032] Determine the data type of each category of business data based on data visualization representation, extract the business application scope of the multi-dimensional artificial intelligence detection and analysis algorithm in the main control end, and determine the first set of artificial intelligence detection and analysis algorithms available for each category of business data based on the matching relationship between the data type and the business application scope;

[0033] Automatic identification matching unit 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 basic parameter requirements of each artificial intelligence detection and analysis algorithm for processing data based on the business characteristics;

[0035] Analyze the business data of each category to determine the multi-dimensional basic characteristics of each category of business data, and based on the multi-dimensional basic characteristics and basic parameter requirements, perform strong correlation screening on the first artificial intelligence detection and analysis algorithm set available for each category of business data to obtain the second artificial intelligence detection and analysis algorithm set;

[0036] Based on the strong correlation screening results and the multi-dimensional basic characteristics of each category of business data, each artificial intelligence detection and analysis algorithm in the second artificial intelligence detection and analysis algorithm set determines the analysis node for the corresponding category of business data;

[0037] Based on the execution order of the analysis nodes, the artificial intelligence detection and analysis algorithms required for each category of business data are logically combined to complete the automatic identification and matching of multiple categories of business data.

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

[0039] A data partitioning unit is used to determine the mapping relationship between the multi-dimensional artificial intelligence detection and analysis algorithm and the multi-category business data based on the automatic identification and matching results, and to divide the execution entities of the business data corresponding to each dimension of the artificial intelligence detection and analysis algorithm based on the mapping relationship;

[0040] The data analysis unit is used to call the full-process analysis link of the artificial intelligence detection and analysis algorithm for each dimension based on the subject segmentation results, and perform strategic analysis on the business data after subject segmentation based on the execution conditions and sequence of the full-process analysis links to obtain the corresponding strategic analysis results;

[0041] Analysis result summary unit, used for:

[0042] Record the intermediate analysis results of each analysis link in the full process analysis, and obtain the traceability data of each category of business data based on the recorded results;

[0043] A traceability relationship display table is generated based on the structural relationship between the traceability data and the strategy analysis results, and the traceability relationship display table is associated and bound with the corresponding strategy analysis results.

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

[0045] The analysis unit is used to locate each type of business based on the results of the strategy analysis, determine the target decision under each type of business and the logical labels between each target decision;

[0046] The business coordination and association unit is used to read the execution parameters of the corresponding business under each target decision, and at the same time, coordinate and associate the business of each category according to the logical label;

[0047] Control instruction generation unit, used to:

[0048] Using the execution parameters of the corresponding services under each target decision as the first control instructions for controlling the devices of the corresponding services, and associating the first control instructions of the devices corresponding to the multiple services according to the service coordination association result to generate a first control instruction sequence;

[0049] A second control instruction is generated according to the first control instruction sequence.

[0050] Preferably, a smart central control screen supporting artificial intelligence detection and analysis algorithms, the control module includes:

[0051] A decision result acquisition unit, configured to acquire a decision control instruction based on a business coordination association result;

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

[0053] Information prompt unit, used for:

[0054] Obtain the security parameter range of the device corresponding to each type of service, and compare the data parameters corresponding to each type of service with the corresponding security parameter range;

[0055] When the data parameters corresponding to each type of service fall within the corresponding security parameter range, a first information prompt is generated;

[0056] When the data parameters corresponding to each type of service do not fall within the corresponding security parameter range, a second information prompt is generated.

[0057] Preferably, an intelligent central control screen supporting artificial intelligence detection and analysis algorithms, and an information prompt unit, includes:

[0058] an abnormal area determination subunit, configured to, when generating a second information prompt, receive the second information prompt based on the smart central control screen, and simultaneously locate the abnormal area of ​​the application scenario according to the second information prompt;

[0059] The number determination subunit is used to obtain the area code of the abnormal area and retrieve the image monitoring device number of the abnormal area from the preset monitoring management library according to the area code;

[0060] The monitoring screen display subunit is used to locate the target screen monitoring device according to the screen monitoring device number, and to retrieve and display the real-time monitoring screen of the target screen monitoring device monitoring the abnormal area based on the intelligent central control screen.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] By continuously collecting multi-category business data in application scenarios and transmitting the multi-category business data to the artificial intelligence analysis module, it is convenient for the artificial intelligence analysis module to integrate the multi-category business data, providing reliable data for comprehensive detection and analysis. Secondly, multi-dimensional artificial intelligence detection and analysis algorithms are used to automatically identify and match multi-category business data, and strategic analysis is performed on the corresponding business data based on the automatic identification and matching results, ensuring the reliability and accuracy of the analysis of different categories of business data. Finally, the strategic analysis results are coordinated and associated with the business, and decision-making and control operations are performed based on the business coordination and association results, thereby improving the intelligence level and processing efficiency of the smart central control screen, thereby improving the control and management effect of other equipment through the smart central control screen.

[0063] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0064] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0066] Figure 1 This is a structural diagram of an intelligent central control screen that supports artificial intelligence detection and analysis algorithms in an embodiment of the present invention;

[0067] Figure 2 This is a structural diagram of a data acquisition module in an intelligent central control screen supporting an artificial intelligence detection and analysis algorithm in Example 2 of the present invention;

[0068] Figure 3 This is a structural diagram of an artificial intelligence analysis module in an intelligent central control screen that supports artificial intelligence detection and analysis algorithms in Example 6 of the present invention. DETAILED DESCRIPTION

[0069] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0070] Example 1:

[0071] This embodiment provides a smart central control screen that supports artificial intelligence detection and analysis algorithms, such as Figure 1 As shown, including:

[0072] Data collection module, used to continuously collect multi-category business data in application scenarios;

[0073] A data transmission module, used to transmit the obtained multi-category business data to the artificial intelligence analysis module;

[0074] The artificial intelligence analysis module is used to automatically identify and match multiple categories of business data based on a multi-dimensional artificial intelligence detection and analysis algorithm, and to perform strategic analysis on the corresponding categories of business data based on the automatic identification and matching results;

[0075] The decision module is used to coordinate and associate the policy analysis results in the application scenario with the business, and perform decision analysis based on the business coordination and association results;

[0076] The control module is used to control the equipment corresponding to each type of business based on the decision analysis results.

[0077] In this embodiment, the application scenarios may include multiple ones, such as smart health monitoring and smart home application scenarios.

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

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

[0080] In this embodiment, automatic identification and matching refers to assigning multiple categories of business data to corresponding artificial intelligence detection and analysis algorithms, with the aim of being able to use effective artificial intelligence detection and analysis algorithms to effectively process the corresponding business data.

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

[0082] In this embodiment, business coordination association refers to associating business data analysis results of different categories in application scenarios. For example, when the application scenario is smart health monitoring, it is necessary to associate the temperature, humidity of the current environment and the user's vital signs data to monitor the user's health status.

[0083] In this embodiment, the decision analysis and control operation refers to determining the control direction and specific control degree of different devices in the application environment according to the business coordination association result, and then performing corresponding control operations 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 in application scenarios and transmitting multi-category business data to the artificial intelligence analysis module, it is convenient for the artificial intelligence analysis module to integrate multi-category business data, providing reliable data for comprehensive detection and analysis; secondly, through multi-dimensional artificial intelligence detection and analysis algorithms, multi-category business data are automatically identified and matched, and strategic analysis is performed on the corresponding business data based on the automatic identification and matching results, ensuring the reliability and accuracy of the analysis of different categories of business data; finally, the strategic analysis results are coordinated and associated with business, and decision-making and control operations are performed based on the business coordination and association results, thereby improving the intelligence level and processing efficiency of the smart central control screen, thereby improving the control and management effect of other devices through the smart central control screen.

[0085] Example 2:

[0086] Based on Example 1, this embodiment provides a smart central control screen that supports artificial intelligence detection and analysis algorithms, such as Figure 2 As shown, the data acquisition module includes:

[0087] A demand determination unit is used to extract the scenario characteristics of the application scenario and determine the device category required for the application scenario to run and the direction of collecting behavioral data of the user object based on the scenario characteristics;

[0088] The device configuration unit is used to determine the required sensor set based on the device type and the user object's behavioral data collection direction, and adapt the working parameters of each sensor in the sensor set based on the collection requirements;

[0089] The data collection unit is used to control each sensor to continuously collect the operating data of the running device and the behavioral data of the user object according to the device category and the behavioral data collection direction of the user object based on the adaptation results, and obtain multi-category business data in the application scenario based on the continuous collection results.

[0090] In this embodiment, the scene feature refers to information such as the scene type and scene layout of the application scene.

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

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

[0093] The beneficial effects of the above technical solution are: determining the required sensor set, and effectively adapting the parameters of each sensor according to the collection requirements, and finally realizing reliable collection of multi-category business data based on the adapted sensors, thereby ensuring the accuracy and comprehensiveness of the collected multi-category business data.

[0094] Example 3:

[0095] Based on Example 1, this embodiment provides an intelligent central control screen supporting artificial intelligence detection and analysis algorithms, and a data transmission module, including:

[0096] The transmission preparation unit is used to build real-time data flow channels between sensors and artificial intelligence analysis modules for different types of business data, and determine the unit collection volume of different types of business data based on collection requirements;

[0097] a transmission configuration unit, configured to perform routing and bandwidth allocation for each real-time data stream channel based on the unit collection amount, and extract the unit carrier capacity of a 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 segment the pre-processed business data of each category 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, the implementation data flow channel refers to a data path for transmitting 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 a carrier for carrying collected data in a real-time data stream channel, that is, an intermediary for transmitting data.

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

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

[0103] Example 4:

[0104] Based on Example 3, this embodiment provides an intelligent central control screen supporting artificial intelligence detection and analysis algorithms, and a data transmission unit including:

[0105] Space division subunit, used for:

[0106] Adaptively determining a cache space for each category of business data in the artificial intelligence analysis module based on the number of categories of business data and the data cycle cache amount of each category of business data, and performing a first division of a preset storage area in the artificial intelligence analysis module based on the cache space;

[0107] Performing a second division on the storage space corresponding to the first division result based on the data type contained in each category of business data;

[0108] The data caching subunit is used to distribute and cache multi-category business data in corresponding areas in the artificial intelligence analysis module based on the first division result and the second division result.

[0109] In this embodiment, the data period buffer size refers to the size of the amount of data collected in each data collection period for each type of service.

[0110] In this embodiment, the first division refers to dividing the preset storage space according to the data period cache amount of each category of service data, in order to effectively cache each category of service data.

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

[0112] The beneficial effects of the above technical solution are: ensuring that the collected multi-category business data are orderly classified and stored in the preset storage area, ensuring the reliability of the storage of multi-category business data, and providing convenience and guarantee for the intelligent control operation of the smart central control screen.

[0113] Example 5:

[0114] Based on Example 1, this embodiment provides an intelligent central control screen that supports artificial intelligence detection and analysis algorithms, and an artificial intelligence analysis module, including:

[0115] A data acquisition unit is used to acquire multiple categories of business data and classify each category of business data into different data types;

[0116] A data preprocessing unit is used to determine preprocessing indicators and indicator quantification values ​​for different data types under each category of business data based on the business attributes of multiple categories of business data, and to perform parallel preprocessing on the business data of corresponding data types based on the preprocessing indicators and indicator quantification values;

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

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

[0119] In this embodiment, the pre-processing index refers to a limiting index when processing different types of data in different categories of business data, for example, it may be a temperature index and a humidity index.

[0120] In this embodiment, the indicator quantization value refers to a specific limited value corresponding to the preprocessing indicator, for example, the limited value of temperature may be 27 degrees Celsius.

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

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

[0123] Example 6:

[0124] Based on Example 1, this embodiment 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] Data retrieval unit, used for:

[0126] Acquire and read the obtained multi-category business data to determine a data visualization representation of each category of business data;

[0127] Determine the data type of each category of business data based on data visualization representation, extract the business application scope of the multi-dimensional artificial intelligence detection and analysis algorithm in the main control end, and determine the first set of artificial intelligence detection and analysis algorithms available for each category of business data based on the matching relationship between the data type and the business application scope;

[0128] Automatic identification matching unit for:

[0129] Extracting the business characteristics of each artificial intelligence detection and analysis algorithm in the first artificial intelligence detection and analysis algorithm set, and determining basic parameter requirements of each artificial intelligence detection and analysis algorithm for processing data based on the business characteristics;

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

[0131] Based on the strong correlation screening results and the multi-dimensional basic characteristics of each category of business data, each artificial intelligence detection and analysis algorithm in the second artificial intelligence detection and analysis algorithm set determines the analysis node for the corresponding category of business data;

[0132] Based on the execution order of the analysis nodes, the artificial intelligence detection and analysis algorithms required for each category of business data are logically combined to complete the automatic identification and matching of multiple categories of business data.

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

[0134] In this embodiment, the business application scope refers to the business categories to which different artificial intelligence detection and analysis algorithms in the main control end are applicable. For example, the artificial intelligence detection and analysis algorithms corresponding to image and text data may be different.

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

[0136] In this embodiment, the basic parameter requirements refer to the format requirements and composition requirements 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 each data corresponding to each category of business attributes.

[0138] In this embodiment, strong correlation screening refers to screening out intelligent detection and analysis algorithms that are highly correlated with each category of business data from the available first artificial intelligence detection and analysis algorithm set.

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

[0140] The beneficial effects of the above technical solution are: ensuring the effective determination and logical combination of the intelligent detection and analysis algorithms corresponding to each category of business data in the multi-category business data, thereby providing a guarantee for the reliable and comprehensive analysis of multi-category business data, and also ensuring the analysis and control reliability of the smart central control screen.

[0141] Example 7:

[0142] Based on Example 1, this embodiment provides an intelligent central control screen that supports artificial intelligence detection and analysis algorithms, and an artificial intelligence analysis module, including:

[0143] A data partitioning unit is used to determine the mapping relationship between the multi-dimensional artificial intelligence detection and analysis algorithm and the multi-category business data based on the automatic identification and matching results, and to divide the execution entities of the business data corresponding to each dimension of the artificial intelligence detection and analysis algorithm based on the mapping relationship;

[0144] The data analysis unit is used to call the full-process analysis link of the artificial intelligence detection and analysis algorithm for each dimension based on the subject segmentation results, and perform strategic analysis on the business data after subject segmentation based on the execution conditions and sequence of the full-process analysis links to obtain the corresponding strategic analysis results;

[0145] Analysis result summary unit, used for:

[0146] Record the intermediate analysis results of each analysis link in the full process analysis, and obtain the traceability data of each category of business data based on the recorded results;

[0147] A traceability relationship display table is generated based on the structural relationship between the traceability data and the strategy analysis results, and the traceability relationship display table is associated and bound with the corresponding strategy analysis results.

[0148] In this embodiment, the execution subject division refers to distinguishing the artificial intelligence detection and analysis algorithms corresponding to different business data, with the aim of ensuring the compatibility of the business data and the artificial intelligence detection and analysis algorithms.

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

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

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

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

[0153] Example 8:

[0154] Based on Example 1, this embodiment provides an intelligent central control screen that supports artificial intelligence detection and analysis algorithms, and a decision module, including:

[0155] The analysis unit is used to locate each type of business based on the results of the strategy analysis, determine the target decision under each type of business and the logical labels between each target decision;

[0156] The business coordination and association unit is used to read the execution parameters of the corresponding business under each target decision, and at the same time, coordinate and associate the business of each category according to the logical label;

[0157] Control instruction generation unit, used to:

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

[0159] A second control instruction is generated according to the first control instruction sequence.

[0160] In this embodiment, the target decision refers to a processing solution or a control solution corresponding to each type of service.

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

[0162] In this embodiment, the execution parameter refers to the execution action or behavior required by the business under the target decision.

[0163] The beneficial effects of the above technical solution are: generating control instructions for different devices based on the decision analysis results, thereby providing a guarantee for achieving effective control of different devices and ensuring the accuracy and reliability of the control of different devices.

[0164] Example 9:

[0165] Based on Example 1, this embodiment provides an intelligent central control screen supporting artificial intelligence detection and analysis algorithms, and a control module including:

[0166] A decision result acquisition unit, configured to acquire a decision control instruction based on a business coordination association result;

[0167] The parameter collection unit is used to control the devices corresponding to multiple types of services in the application scenario based on the decision control instructions, and collect data parameters of the devices corresponding to each type of service in real time during the control process;

[0168] Information prompt unit, used for:

[0169] Obtain the security parameter range of the device corresponding to each type of service, and compare the data parameters corresponding to each type of service with the corresponding security parameter range;

[0170] When the data parameters corresponding to each type of service fall within the corresponding security parameter range, a first information prompt is generated;

[0171] When the data parameters corresponding to each type of service do not fall within the corresponding security 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 when the device is controlled.

[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 is generated when the data parameters corresponding to each type of service fall within the corresponding security parameter range, indicating that the control of each device is qualified.

[0175] In this embodiment, the second information prompt is generated when the data parameters corresponding to each type of service do not fall within the corresponding security parameter range, indicating that the control of each device is unqualified.

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

[0177] Example 10:

[0178] Based on Example 9, this embodiment provides an intelligent central control screen supporting artificial intelligence detection and analysis algorithms, and an information prompt unit, including:

[0179] an abnormal area determination subunit, configured to, when generating a second information prompt, receive the second information prompt based on the smart central control screen, and simultaneously locate the abnormal area of ​​the application scenario according to the second information prompt;

[0180] The number determination subunit is used to obtain the area code of the abnormal area and retrieve the image monitoring device number of the abnormal area from the preset monitoring management library according to the area code;

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

[0182] In this embodiment, the abnormal area refers to an area or position where an abnormality is located in the application scenario according to the second information prompt.

[0183] In this embodiment, the region code refers to a symbol or number that can represent the identity information of different regions.

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

[0185] The working principle and beneficial effects of the above technical solution are: by quickly locating the abnormal area of ​​the application scenario according to the second information prompt, and determining the area code of the abnormal area and the screen monitoring device number contained in the abnormal area, the corresponding real-time monitoring screen can be retrieved and displayed on the smart central control screen according to the screen monitoring device number, thereby improving the effect of controlling and managing the equipment according to the analysis results of the artificial intelligence detection and analysis algorithm, and greatly improving the intelligence level of the smart central control screen.

[0186] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. An intelligent central control screen supporting artificial intelligence detection and analysis algorithms, characterized in that: include: Data collection module, used to continuously collect multi-category business data in application scenarios; A data transmission module, used to transmit the obtained multi-category business data to the artificial intelligence analysis module; The artificial intelligence analysis module is used to automatically identify and match multiple categories of business data based on a multi-dimensional artificial intelligence detection and analysis algorithm, and to perform strategic analysis on the corresponding categories of business data based on the automatic identification and matching results; The decision module is used to coordinate and associate the policy analysis results in the application scenario with the business, and perform decision analysis based on the business coordination and association results; The control module is used to control the equipment corresponding to each type of business based on the decision analysis results.

2. The intelligent central control screen supporting artificial intelligence detection and analysis algorithm according to claim 1, characterized in that: Data acquisition module, including: A demand determination unit is used to extract the scenario characteristics of the application scenario and determine the device category required for the application scenario to run and the direction of collecting behavioral data of the user object based on the scenario characteristics; The device configuration unit is used to determine the required sensor set based on the device type and the user object's behavioral data collection direction, and adapt the working parameters of each sensor in the sensor set based on the collection requirements; The data collection unit is used to control each sensor to continuously collect the operating data of the running device and the behavioral data of the user object according to the device category and the behavioral data collection direction of the user object based on the adaptation results, and obtain multi-category business data in the application scenario based on the continuous collection results.

3. The intelligent central control screen supporting artificial intelligence detection and analysis algorithm according to claim 1, characterized in that: Data transmission module, including: The transmission preparation unit is used to build real-time data flow channels between sensors and artificial intelligence analysis modules for different types of business data, and determine the unit collection volume of different types of business data based on collection requirements; a transmission configuration unit, configured to perform routing and bandwidth allocation for each real-time data stream channel based on the unit collection amount, and extract the unit carrier capacity of a preset data carrier in the real-time data stream channel based on the routing and bandwidth allocation results; The data transmission unit is used to segment the pre-processed business data of each category 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.

4. The intelligent central control screen supporting artificial intelligence detection and analysis algorithm according to claim 3 is characterized in that: Data transmission unit, including: Space division subunit, used for: Adaptively determining a cache space for each category of business data in the artificial intelligence analysis module based on the number of categories of business data and the data cycle cache amount of each category of business data, and performing a first division of a preset storage area in the artificial intelligence analysis module based on the cache space; Performing a second division on the storage space corresponding to the first division result based on the data type contained in each category of business data; The data caching subunit is used to distribute and cache multi-category business data in corresponding areas in the artificial intelligence analysis module based on the first division result and the second division result.

5. The intelligent central control screen supporting artificial intelligence detection and analysis algorithm according to claim 1, characterized in that: Artificial intelligence analysis modules, including: A data acquisition unit is used to acquire multiple categories of business data and classify each category of business data into different data types; A data preprocessing unit is used to determine preprocessing indicators and indicator quantification values ​​for different data types under each category of business data based on the business attributes of multiple categories of business data, and to perform parallel preprocessing on the business data of corresponding data types based on the preprocessing indicators and indicator quantification values; The result summarizing unit is used to summarize the parallel preprocessing results of different data types under each category of business data, and obtain the preprocessing result of each category of business data based on the summary results.

6. The intelligent central control screen supporting artificial intelligence detection and analysis algorithm according to claim 1, characterized in that: Artificial intelligence analysis modules, including: Data retrieval unit, used for: Acquire and read the obtained multi-category business data to determine a data visualization representation of each category of business data; Determine the data type of each category of business data based on data visualization representation, extract the business application scope of the multi-dimensional artificial intelligence detection and analysis algorithm in the main control end, and determine the first set of artificial intelligence detection and analysis algorithms available for each category of business data based on the matching relationship between the data type and the business application scope; Automatic identification 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 basic parameter requirements of each artificial intelligence detection and analysis algorithm for processing data based on the business characteristics; Analyze the business data of each category to determine the multi-dimensional basic characteristics of each category of business data, and based on the multi-dimensional basic characteristics and basic parameter requirements, perform strong correlation screening on the first artificial intelligence detection and analysis algorithm set available for each category of business data to obtain the second artificial intelligence detection and analysis algorithm set; Based on the strong correlation screening results and the multi-dimensional basic characteristics of each category of business data, each artificial intelligence detection and analysis algorithm in the second artificial intelligence detection and analysis algorithm set determines the analysis node for the corresponding category of business data; Based on the execution order of the analysis nodes, the artificial intelligence detection and analysis algorithms required for each category of business data are logically combined to complete the automatic identification and matching of multiple categories of business data.

7. The intelligent central control screen supporting artificial intelligence detection and analysis algorithm according to claim 1, characterized in that: Artificial intelligence analysis modules, including: A data partitioning unit is used to determine the mapping relationship between the multi-dimensional artificial intelligence detection and analysis algorithm and the multi-category business data based on the automatic identification and matching results, and to divide the execution entities of the business data corresponding to each dimension of the artificial intelligence detection and analysis algorithm based on the mapping relationship; The data analysis unit is used to call the full-process analysis link of the artificial intelligence detection and analysis algorithm for each dimension based on the subject segmentation results, and perform strategic analysis on the business data after subject segmentation based on the execution conditions and sequence of the full-process analysis links to obtain the corresponding strategic analysis results; Analysis result summary unit, used for: Record the intermediate analysis results of each analysis link in the full process analysis, and obtain the traceability data of each category of business data based on the recorded results; A traceability relationship display table is generated based on the structural relationship between the traceability data and the strategy analysis results, and the traceability relationship display table is associated and bound with the corresponding strategy analysis results.

8. The intelligent central control screen supporting artificial intelligence detection and analysis algorithm according to claim 1, characterized in that: Decision-making module, including: The analysis unit is used to locate each type of business based on the results of the strategy analysis, determine the target decision under each type of business and the logical labels between each target decision; The business coordination and association unit is used to read the execution parameters of the corresponding business under each target decision, and at the same time, coordinate and associate the business of each category according to the logical label; Control instruction generation unit, used to: Using the execution parameters of the corresponding services under each target decision as the first control instructions for controlling the devices of the corresponding services, and associating the first control instructions of the devices corresponding to the multiple services according to the service coordination association result to generate a first control instruction sequence; A second control instruction is generated according to the first control instruction sequence.

9. The intelligent central control screen supporting artificial intelligence detection and analysis algorithm according to claim 1, characterized in that: Control module, including: A decision result acquisition unit, configured to acquire a decision control instruction based on a business coordination association result; The parameter collection unit is used to control the devices corresponding to multiple types of services in the application scenario based on the decision control instructions, and collect data parameters of the devices corresponding to each type of service in real time during the control process; Information prompt unit, used for: Obtain the security parameter range of the device corresponding to each type of service, and compare the data parameters corresponding to each type of service with the corresponding security parameter range; When the data parameters corresponding to each type of service fall within the corresponding security parameter range, a first information prompt is generated; When the data parameters corresponding to each type of service do not fall within the corresponding security parameter range, a second information prompt is generated.

10. The intelligent central control screen supporting artificial intelligence detection and analysis algorithm according to claim 9, characterized in that: Information prompt unit, including: an abnormal area determination subunit, configured to, when generating a second information prompt, receive the second information prompt based on the smart central control screen, and simultaneously locate the abnormal area of ​​the application scenario according to the second information prompt; The number determination subunit is used to obtain the area code of the abnormal area and retrieve the image monitoring device number of the abnormal area from the preset monitoring management library according to the area code; The monitoring screen display subunit is used to locate the target screen monitoring device according to the screen monitoring device number, and to retrieve and display the real-time monitoring screen of the target screen monitoring device monitoring the abnormal area based on the intelligent central control screen.

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