Monitoring processing method and device, computer equipment and storage medium

Abstract

The invention provides a monitoring processing method and device, computer equipment and a storage medium. The method comprises the steps of receiving monitoring demand information which is input by a user in an interaction page and corresponds to a target area; analyzing the monitoring demand information to extract monitoring key information; searching related items corresponding to the monitoring key information and returning the related items to the user through an interaction page; receiving a question item reply corresponding to the related question item input by the user in the interaction page; based on the question item reply, screening out a replied first question item from all the related question items; calculating a reliability coefficient of the monitoring demand information based on the total number of the first item and the related items; and if the reliability coefficient is greater than or equal to the reliability standard coefficient, determining the monitoring demand information as target monitoring demand information of the target area, and performing monitoring processing on the target area based on the target monitoring demand information. Based on the use of the interactive page and the monitoring system, the flexibility of monitoring processing and the monitoring efficiency are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of big data technology, and in particular to a monitoring processing method, device, computer equipment and storage medium. Background Art

[0002] In today's society, with the rapid development of information technology and the widespread application of Internet of Things technology, monitoring and processing systems have become an important means to maintain public safety, improve management efficiency, and ensure environmental safety. Especially in various facilities and environmental management, such as the intelligent control and maintenance of lighting systems, the application of monitoring technology is particularly important. Traditionally, the monitoring of the lighting environment mainly relies on hardware equipment such as fixed cameras, which collect video or image data and transmit it to the central monitoring center in real time, and professional monitoring personnel conduct manual monitoring and analysis.

[0003] However, this traditional monitoring method for the lighting environment faces many challenges and limitations in practical applications:

[0004] 1. Lack of flexibility: Existing monitoring systems lack the ability to flexibly adjust according to user needs or environmental changes. For example, during a specific period of time or when a specific event occurs, users may need to strengthen monitoring of a specific area or adjust the monitoring focus, but traditional systems often find it difficult to quickly respond to these changes in needs.

[0005] 2. Low monitoring efficiency: The monitoring model that relies on manual monitoring and analysis not only increases human resource costs, but is also easily affected by human factors (such as fatigue, distraction, etc.), resulting in low monitoring efficiency and may even miss the timely discovery and handling of key events or abnormal situations. Summary of the invention

[0006] The main purpose of the present invention is to provide a monitoring processing method, device, computer equipment and storage medium, aiming to solve the technical problems in the prior art that the monitoring method applied to the lighting environment has insufficient flexibility and low monitoring efficiency.

[0007] To achieve the above object, the present invention provides a monitoring processing method, which comprises:

[0008] Receiving monitoring requirement information corresponding to a target area input by a user in a preset interactive page; wherein the target area is a use environment of a target lamp;

[0009] Parsing the monitoring requirement information based on a preset natural language understanding component to extract corresponding key monitoring information;

[0010] Finding relevant items corresponding to the key monitoring information from a preset knowledge base, and returning the relevant items to the user through the interactive page;

[0011] receiving an item reply corresponding to the relevant item input by the user in the interactive page;

[0012] Based on the item reply, filtering out the first item to which a reply has been made from all the related items;

[0013] Calculating a reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items;

[0014] Determine whether the reliability coefficient is greater than or equal to the preset reliability standard coefficient;

[0015] If so, the monitoring requirement information is determined to be target monitoring requirement information matching the target area, and monitoring processing is performed on the target area based on the target monitoring requirement information.

[0016] Optionally, the calculating a reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items includes:

[0017] Obtaining a first quantity of the first items;

[0018] Obtaining the total number of related items;

[0019] Call the preset first calculation formula;

[0020] Calculate the first number of the first items and the total number of the related items based on the first calculation formula to obtain a corresponding first calculation result;

[0021] The first calculation result is used as a reliability coefficient corresponding to the monitoring requirement information.

[0022] Optionally, the calculating a reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items includes:

[0023] Based on the item replies, selecting second items that meet preset completeness reply conditions from all the first items;

[0024] Obtaining a second quantity of the second item;

[0025] Get the preset consistency factor;

[0026] Call the preset second calculation formula;

[0027] Calculating the second number of the second items, the total number of the related items, and the consistency factor based on the second calculation formula to obtain a corresponding second calculation result;

[0028] The second calculation result is used as a reliability coefficient corresponding to the monitoring requirement information.

[0029] Optionally, the monitoring process on the target area based on the target monitoring requirement information includes:

[0030] Adjusting the monitoring range of the preset monitoring system based on the target monitoring requirement information to obtain a corresponding target monitoring range;

[0031] Based on the target monitoring requirement information, the monitoring parameters of the monitoring system are configured to obtain corresponding target monitoring parameters;

[0032] After completing the adjustment process for the monitoring system, testing the monitoring system;

[0033] If the monitoring system passes the test, the monitoring system is started to monitor the target area.

[0034] Optionally, after starting the monitoring system to monitor the target area, the following steps are performed:

[0035] Acquiring initial monitoring data corresponding to the target area collected by the monitoring system;

[0036] Preprocessing the initial monitoring data to obtain corresponding monitoring data;

[0037] Extracting features from the monitoring data to obtain corresponding monitoring feature data;

[0038] Performing anomaly detection on the monitoring feature data to determine whether there is abnormal feature data in the monitoring feature data;

[0039] If so, corresponding alarm processing is performed based on the abnormal feature data.

[0040] Optionally, performing corresponding alarm processing based on the abnormal feature data includes:

[0041] Generate corresponding alarm information based on the abnormal characteristic data;

[0042] Obtaining a target emergency plan corresponding to the abnormal characteristic data;

[0043] Get the preset exception notification method;

[0044] Based on the abnormal notification method, the alarm information and the target emergency plan are sent to corresponding abnormality handling personnel.

[0045] Optionally, after acquiring the initial monitoring data corresponding to the target area collected by the monitoring system, the method further includes:

[0046] Acquire a target storage strategy corresponding to the initial monitoring data;

[0047] Calling a target storage medium corresponding to the initial monitoring data;

[0048] The initial monitoring data is stored based on the target storage policy and the target storage medium.

[0049] In addition, to achieve the above-mentioned purpose, the present invention further provides a monitoring processing device, the monitoring processing device comprising:

[0050] A first receiving module is used to receive monitoring requirement information corresponding to a target area input by a user in a preset interactive page; wherein the target area is a use environment of a target lamp;

[0051] An extraction module, used to parse the monitoring requirement information based on a preset natural language understanding component to extract corresponding key monitoring information;

[0052] A search module, used to search for relevant items corresponding to the key monitoring information from a preset knowledge base, and return the relevant items to the user through the interactive page;

[0053] A second receiving module, configured to receive an item reply corresponding to the relevant item input by the user in the interactive page;

[0054] A screening module, configured to screen out a first item to which a reply has been made from all the related items based on the item reply;

[0055] A calculation module, configured to calculate a reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items;

[0056] A judgment module, used to judge whether the reliability coefficient is greater than or equal to a preset reliability standard coefficient;

[0057] The monitoring module is used to, if yes, determine the monitoring requirement information as target monitoring requirement information matching the target area, and perform monitoring processing on the target area based on the target monitoring requirement information.

[0058] In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical solution:

[0059] The computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the monitoring processing methods proposed in the embodiments of the present application are implemented.

[0060] In order to solve the above technical problems, the embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solution:

[0061] The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the steps of any one of the monitoring processing methods proposed in the embodiments of the present application are implemented.

[0062] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0063] The present invention provides a monitoring processing method, device, computer equipment and storage medium, the method comprising: first receiving monitoring requirement information corresponding to a target area input by a user in a preset interactive page; wherein the target area is the use environment of a target lamp; then parsing the monitoring requirement information based on a preset natural language understanding component to extract corresponding key monitoring information; then finding relevant items corresponding to the key monitoring information from a preset knowledge base, and returning the relevant items to the user through the interactive page; then receiving item replies corresponding to the relevant items input by the user in the interactive page; subsequently, based on the item replies, filtering out a first item that has been replied from all the relevant items; and calculating a reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the relevant items; further judging whether the reliability coefficient is greater than or equal to a preset reliability standard coefficient; if so, determining the monitoring requirement information as target monitoring requirement information matching the target area, and performing monitoring processing on the target area based on the target monitoring requirement information. This application is based on the use of interactive pages. Users can input monitoring demand information according to their own needs. Then, based on the use of natural language understanding components and knowledge bases, the reliability coefficient of the monitoring demand information is automatically determined based on the user's input monitoring demand information. When the reliability coefficient is detected to be greater than or equal to the preset reliability standard coefficient, the monitoring demand information is determined as the target monitoring demand information that matches the target area, and the target area is automatically monitored based on the target monitoring demand information. In this way, users can flexibly adjust the monitoring strategy for the target area according to their actual needs, improve the flexibility and intelligence of the monitoring process, and effectively improve the monitoring efficiency of the target area based on the use of the monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0065] Figure 1 is an exemplary system architecture diagram to which the present application may be applied;

[0066] Figure 2 is a flow chart of a monitoring processing method provided by an embodiment of the present invention;

[0067] Figure 3 is a schematic structural diagram of an embodiment of a monitoring processing device according to the present application;

[0068] Figure 4 This is a basic structural block diagram of the computer device in this embodiment. DETAILED DESCRIPTION

[0069] The monitoring processing method provided in the embodiment of the present invention is applied to the monitoring processing device. Unless otherwise defined, all technical and scientific terms used in this document have the same meaning as those generally understood by technicians in the technical field of this application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned drawings and any variations thereof are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of this application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0070] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0071] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0072] like Figure 1As shown, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0073] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social online platform software, etc.

[0074] Terminal devices 101, 102, 103 can be various electronic devices with display screens and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III), MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop computers, desktop computers, etc.

[0075] The server 105 may be a server that provides various services, such as a background server that provides support for web pages displayed on the terminal devices 101 , 102 , and 103 .

[0076] It should be noted that the monitoring and processing method provided in the embodiment of the present application is generally executed by a server / terminal device, and accordingly, the monitoring and processing device is generally arranged in the server / terminal device.

[0077] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0078] In today's society, with the rapid development of information technology and the widespread application of Internet of Things technology, monitoring and processing systems have become an important means to maintain public safety, improve management efficiency, and ensure environmental safety. Especially in various facilities and environmental management, such as the intelligent control and maintenance of lighting systems, the application of monitoring technology is particularly important. Traditionally, the monitoring of the lighting environment mainly relies on hardware equipment such as fixed cameras, which collect video or image data and transmit it to the central monitoring center in real time, and professional monitoring personnel conduct manual monitoring and analysis.

[0079] However, this traditional monitoring method for the lighting environment faces many challenges and limitations in practical applications:

[0080] 1. Lack of flexibility: Existing monitoring systems lack the ability to flexibly adjust according to user needs or environmental changes. For example, during a specific period of time or when a specific event occurs, users may need to strengthen monitoring of a specific area or adjust the monitoring focus, but traditional systems often find it difficult to quickly respond to these changes in needs.

[0081] 2. Low monitoring efficiency: The monitoring model that relies on manual monitoring and analysis not only increases human resource costs, but is also easily affected by human factors (such as fatigue, distraction, etc.), resulting in low monitoring efficiency and may even miss the timely discovery and handling of key events or abnormal situations.

[0082] Continue to refer Figure 2 , shows a flow chart of an embodiment of the monitoring processing method proposed in the present application. The embodiment of the present application can acquire and process relevant data based on artificial intelligence technology.

[0083] The monitoring processing method provided by the embodiment of the present invention comprises the following steps:

[0084] S210, receiving monitoring requirement information corresponding to a target area input by a user in a preset interactive page; wherein the target area is a usage environment of a target lamp.

[0085] In this step, the present invention can be applied to a business scenario in which the use environment of the target lamp is monitored and processed according to the user's monitoring needs, and the execution subject of the present invention can be a monitoring and processing system, which can also be called a dialogue interaction system. Specifically, the interaction page between the user and the monitoring and processing system is pre-designed. The interaction page is a simple and easy-to-use page, including a dialogue page, a determination page, an input page and other pages. Then configure the interactive functional components of the user and the monitoring and processing system. By configuring the interactive functional components of the user and the monitoring and processing system, such as natural language understanding (NLU) and natural language generation (NLG), knowledge base and other components. These components will realize the interactive dialogue function between the user and the monitoring and processing system. Then establish an interactive rule based on the interactive page. Based on the interactive page and the interactive functional component, an interactive rule based on the interactive page is established, including response rules, dialogue flow rules, input verification rules and other rules. These rules will guide the interactive behavior of the user and the monitoring and processing system. After the construction of the monitoring and processing system is completed, the use of the monitoring and processing system will realize real-time interaction with the user and meet the user's monitoring needs. Among them, the above-mentioned target area is the use environment of the target lamp. The target lamps may include mining lamps, lighting lamps, bracket lamps, explosion-proof lamps, flashlights, outdoor lighting equipment such as camping and exploration. In addition, the monitoring demand information is in text form.

[0086] S220, parsing the monitoring requirement information based on a preset natural language understanding component to extract corresponding key monitoring information.

[0087] In this step, the above-mentioned natural language understanding component is the natural language understanding (NLU) component in the natural language processing (NLP) module, which is used to perform text parsing on the monitoring requirement information input by the user and extract key information included in the monitoring requirement information, such as monitoring objects, time ranges, monitoring indicators, etc.

[0088] S230, searching for relevant items corresponding to the key monitoring information from a preset knowledge base, and returning the relevant items to the user through the interactive page.

[0089] In this step, the above-mentioned knowledge base is a pre-built database storing pre-defined monitoring templates. According to the parsed key monitoring information, the corresponding items (i.e., specific information points that need to be clarified or confirmed by the user) are searched from the monitoring templates contained in the above-mentioned knowledge base. Among them, the items may include but are not limited to: the specific location of monitoring, the detailed indicators of monitoring, the alarm threshold of monitoring, etc. Then, the monitoring processing system returns these items to the user in the form of questions through the interactive page, requesting the user to reply.

[0090] S240: Receive an item reply corresponding to the relevant item input by the user in the interactive page.

[0091] In this step, the user searches for the relevant items displayed in the interactive page and enters the item replies corresponding to the relevant items according to the system prompts. After the user enters the item replies corresponding to the relevant items in the interactive page, the monitoring processing system receives and stores the user's item replies.

[0092] S250: Based on the item reply, select a first item to which a reply has been made from all the related items.

[0093] In this step, data analysis can be performed on the received item replies, and the first item to which a reply has been made can be screened out from all the related items. The first item refers to the item to which the user has replied from all the related items.

[0094] S260: Calculate a reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items.

[0095] In this step, the specific implementation process of calculating the reliability coefficient corresponding to the monitoring demand information based on the total number of the first question item and the related questions will be further described in detail in subsequent specific embodiments of the present application and will not be elaborated on here.

[0096] S270, determining whether the reliability coefficient is greater than or equal to a preset reliability standard coefficient.

[0097] In this step, the value range of the reliability coefficient can be set according to actual needs, for example, it can be set between 0 and 1, where 1 represents complete reliability. There is no specific limitation on the selection of the value of the reliability standard coefficient, which can be set according to actual business usage needs. By comparing the calculated reliability coefficient with the preset reliability standard coefficient, it can be determined whether the reliability of the monitoring demand information meets the requirements.

[0098] S280: If yes, determine the monitoring requirement information as target monitoring requirement information matching the target area, and perform monitoring processing on the target area based on the target monitoring requirement information.

[0099] In this step, if the reliability coefficient is greater than or equal to the above-mentioned reliability standard coefficient, the monitoring requirement information is directly determined as the target monitoring requirement information that matches the target area. Among them, the specific implementation process of monitoring the target area based on the target monitoring requirement information will be further described in detail in the subsequent specific embodiments of this application, and will not be elaborated on here. In addition, if the reliability coefficient is less than the preset reliability standard coefficient, the following steps are performed to optimize the monitoring requirement information to obtain the target monitoring requirement information to improve the reliability of subsequent resource calculations. Specifically, the interactive page is used to obtain the updated monitoring requirement information from the user again. Calculate the updated reliability coefficient of the updated monitoring requirement information. Repeat the above steps until the updated reliability coefficient reaches or exceeds the preset reliability standard coefficient. Mark the updated monitoring requirement information that finally meets the conditions as the target monitoring requirement information.

[0100] In an embodiment of the present invention, first, monitoring requirement information corresponding to a target area input by a user in a preset interactive page is received; wherein the target area is the use environment of a target lamp; then, the monitoring requirement information is parsed based on a preset natural language understanding component to extract corresponding key monitoring information; then, relevant items corresponding to the key monitoring information are found from a preset knowledge base, and the relevant items are returned to the user through the interactive page; then, item replies corresponding to the relevant items input by the user in the interactive page are received; subsequently, based on the item replies, a first item that has been replied to is screened out from all the relevant items; and a reliability coefficient corresponding to the monitoring requirement information is calculated based on the total number of the first item and the relevant items; further, it is determined whether the reliability coefficient is greater than or equal to a preset reliability standard coefficient; if so, the monitoring requirement information is determined as target monitoring requirement information matching the target area, and monitoring processing is performed on the target area based on the target monitoring requirement information. This application is based on the use of interactive pages. Users can input monitoring demand information according to their own needs. Then, based on the use of natural language understanding components and knowledge bases, the reliability coefficient of the monitoring demand information is automatically determined based on the user's input monitoring demand information. When the reliability coefficient is detected to be greater than or equal to the preset reliability standard coefficient, the monitoring demand information is determined as the target monitoring demand information that matches the target area, and the target area is automatically monitored based on the target monitoring demand information. In this way, users can flexibly adjust the monitoring strategy for the target area according to their actual needs, improve the flexibility and intelligence of the monitoring process, and effectively improve the monitoring efficiency of the target area based on the use of the monitoring system.

[0101] Optionally, the calculating a reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items includes:

[0102] A first quantity of the first items is obtained.

[0103] In this step, after the first item to which a reply has been made is screened out from all the related items based on the item replies, the first number of the first item can be obtained by counting the number of the first item.

[0104] Get the total number of related items.

[0105] In this step, the total number of the related items can be obtained by counting the number of related items corresponding to the key monitoring information found in the knowledge base.

[0106] Call the preset first calculation formula.

[0107] In this step, the first calculation formula may specifically include: X=U / V, wherein X is the reliability coefficient, U is the first number of the first items, and V is the total number of the related items.

[0108] The first number of the first items and the total number of the related items are calculated based on the first calculation formula to obtain a corresponding first calculation result.

[0109] In this step, the first number of the first items and the total number of the related items may be substituted into the corresponding positions of the first calculation formula to perform calculation, thereby obtaining a corresponding first calculation result.

[0110] The first calculation result is used as a reliability coefficient corresponding to the monitoring requirement information.

[0111] In this embodiment, by obtaining the first quantity of the first item; and obtaining the total quantity of the related items; and then calling a preset first calculation formula; and then calculating and processing the first quantity of the first item and the total quantity of the related items based on the first calculation formula to obtain a corresponding first calculation result; and subsequently using the first calculation result as a reliability coefficient corresponding to the monitoring demand information. This application obtains the first quantity of the first item and the total quantity of the related items, and then calculates and processes the first quantity of the first item and the total quantity of the related items based on the preset first calculation formula, so as to realize the rapid and accurate generation of the reliability coefficient corresponding to the monitoring demand information, improve the generation efficiency of the reliability coefficient of the monitoring demand information, and ensure the data accuracy of the obtained reliability coefficient of the monitoring demand information.

[0112] Optionally, the calculating a reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items includes:

[0113] Based on the item replies, second items meeting preset completeness reply conditions are screened out from all the first items.

[0114] In this step, the second items that meet the completeness response condition are items for which the user gives a comprehensive, accurate and compliant response to the related items returned by the interactive page. These responses completely answer the content asked by the items without omissions or errors, and the items corresponding to these responses are considered to be second items that meet the completeness response condition.

[0115] Obtain a second quantity of the second item.

[0116] In this step, the second number of the second items can be obtained by counting the number of the screened second items.

[0117] Gets the preset consistency factor.

[0118] In this step, the consistency factor can be calculated based on the logical relationship between the responses and the preset rules, and is used to evaluate whether there are contradictions or inconsistencies between the responses.

[0119] Call the preset second calculation formula.

[0120] In this step, the second calculation formula may specifically include: S=(Y / Z)*a, wherein S is the reliability coefficient, Y is the second number of the second items, Z is the total number of the related items, and a is the consistency factor.

[0121] The second number of the second items, the total number of the related items, and the consistency factor are calculated based on the second calculation formula to obtain a corresponding second calculation result.

[0122] In this step, the second number of the second items, the total number of the related items, and the consistency factor may be substituted into corresponding positions in the second calculation formula to obtain a corresponding second calculation result.

[0123] The second calculation result is used as a reliability coefficient corresponding to the monitoring requirement information.

[0124] In this embodiment, by replying to the question, second questions that meet the preset completeness reply conditions are screened out from all the first questions; then the second number of the second questions is obtained; and the preset consistency factor is obtained; then the preset second calculation formula is called; the second number of the second questions, the total number of the related questions and the consistency factor are subsequently calculated and processed based on the second calculation formula to obtain the corresponding second calculation result; finally, the second calculation result is used as the reliability coefficient corresponding to the monitoring requirement information. The present application, by replying to the question, screens out second questions that meet the preset completeness reply conditions from all the first questions, then obtains the second number of the second questions and obtains the preset consistency factor, and then the second number of the second questions, the total number of the related questions and the consistency factor are calculated and processed based on the preset second calculation formula, so that the reliability coefficient corresponding to the monitoring requirement information can be generated quickly and accurately, the generation efficiency of the reliability coefficient of the monitoring requirement information is improved, and the data accuracy of the obtained reliability coefficient of the monitoring requirement information is ensured.

[0125] Optionally, the monitoring process on the target area based on the target monitoring requirement information includes:

[0126] The monitoring range of the preset monitoring system is adjusted based on the target monitoring requirement information to obtain the corresponding target monitoring range.

[0127] In this step, after obtaining the target monitoring demand information, the target monitoring demand information can be parsed to clarify the specific monitoring object, area, time range, key indicators and other information. The above-mentioned monitoring system is specifically a pre-built processing system responsible for monitoring the use environment of the target lamp, that is, the above-mentioned target area. Specifically, by setting or adjusting the position, angle and field of view of the monitoring camera in the monitoring system according to the above-mentioned target monitoring demand information, it is ensured that the target monitoring area can be fully covered, thereby completing the adjustment of the monitoring range of the monitoring system.

[0128] The monitoring parameters of the monitoring system are configured based on the target monitoring requirement information to obtain corresponding target monitoring parameters.

[0129] In this step, various parameters of the monitoring system, such as resolution, frame rate, storage cycle, alarm threshold, etc., are configured according to the above target monitoring demand information to ensure that the parameter settings are reasonable, which can not only meet the monitoring needs but also avoid waste of resources.

[0130] After the adjustment process for the monitoring system is completed, the monitoring system is tested.

[0131] In this step, after completing the adjustment process of the monitoring system, the monitoring system is actually tested to verify whether the coverage and parameter settings of the monitoring system meet the monitoring requirements corresponding to the above-mentioned target monitoring requirement information.

[0132] If the monitoring system passes the test, the monitoring system is started to monitor the target area.

[0133] In this step, if the coverage and parameter settings of the monitoring system meet the monitoring requirements corresponding to the above-mentioned target monitoring requirement information, the monitoring system is determined to have passed the test, and then the monitoring system is started to monitor the target area through the monitoring system. After being started, the monitoring system can capture and transmit the monitoring screen and data in the target area in real time. In addition, if the coverage and parameter settings of the monitoring system do not meet the monitoring requirements corresponding to the above-mentioned target monitoring requirement information, the monitoring system is further adjusted and optimized according to the test results until the coverage and parameter settings of the monitoring system meet the corresponding monitoring requirements.

[0134] In this embodiment, the monitoring range of the preset monitoring system is adjusted based on the target monitoring demand information to obtain the corresponding target monitoring range; then the monitoring parameters of the monitoring system are configured based on the target monitoring demand information to obtain the corresponding target monitoring parameters; after completing the adjustment process of the monitoring system, the monitoring system is further tested; if the monitoring system passes the test, the monitoring system is started to monitor the target area. After determining the target monitoring demand information matching the target area, the present application will automatically and intelligently adjust the monitoring range of the preset monitoring system and configure the monitoring parameters of the monitoring system based on the target monitoring demand information, and will further test the monitoring system after completing the adjustment process of the monitoring system. Only after determining that the monitoring system passes the test, the monitoring system will be started to monitor the target area, effectively realizing the corresponding adjustment process of the monitoring system according to the monitoring demand for the target area proposed by the user, and then using the adjusted monitoring system to implement the monitoring process for the target area, effectively ensuring the effectiveness and accuracy of the monitoring process for the target area, and improving the user experience.

[0135] Optionally, after starting the monitoring system to monitor the target area, the following steps are performed:

[0136] Initial monitoring data corresponding to the target area collected by the monitoring system is obtained.

[0137] In this step, after starting the monitoring system, the monitoring system can monitor the target area in real time and automatically collect initial monitoring data in the target area, including video recordings, pictures and other data.

[0138] The initial monitoring data is preprocessed to obtain corresponding monitoring data.

[0139] In this step, the above preprocessing includes cleaning and formatting to facilitate subsequent analysis.

[0140] Feature extraction is performed on the monitoring data to obtain corresponding monitoring feature data.

[0141] In this step, the monitoring data is subjected to feature extraction by using a feature extraction algorithm to extract key features in the monitoring data, that is, to obtain the above-mentioned monitoring feature data. The above-mentioned feature extraction algorithm may include algorithms such as face recognition, behavior recognition, and vehicle recognition. Correspondingly, the above-mentioned monitoring feature data may include face recognition data, behavior recognition data (such as wandering, running), vehicle recognition data, etc.

[0142] Anomaly detection is performed on the monitoring feature data to determine whether there is abnormal feature data in the monitoring feature data.

[0143] In this step, the monitoring feature data can be subjected to anomaly detection by calling a preset anomaly detection rule to detect whether there is abnormal feature data in the monitoring feature data. The above anomaly detection rule is a pre-constructed rule for detecting abnormal features such as a sudden increase in the number of people and abnormal behavior patterns.

[0144] If so, corresponding alarm processing is performed based on the abnormal feature data.

[0145] In this step, the specific implementation process of executing the corresponding alarm processing based on the abnormal feature data will be further described in detail in the subsequent specific embodiments of the present application, and will not be elaborated on here. In addition, if there is no abnormal feature data in the monitoring feature data, it indicates that there is no abnormal situation in the target area at present.

[0146] In this embodiment, the initial monitoring data corresponding to the target area collected by the monitoring system is obtained; then the initial monitoring data is preprocessed to obtain the corresponding monitoring data; then the monitoring data is feature extracted to obtain the corresponding monitoring feature data; the monitoring feature data is subsequently abnormally detected to determine whether there is abnormal feature data in the monitoring feature data; if so, the corresponding alarm processing is performed based on the abnormal feature data. After the monitoring system is enabled to monitor the target area, the application will also intelligently obtain the initial monitoring data corresponding to the target area collected by the monitoring system, and the initial monitoring data is preprocessed and feature extracted to obtain monitoring feature data, and then abnormal detection is performed on the monitoring feature data. If abnormal feature data is detected in the monitoring feature data, the corresponding alarm processing will be automatically performed based on the abnormal feature data. In the process of ensuring that the monitoring system operates effectively according to the target monitoring demand information, the application will also intelligently and effectively identify the abnormal conditions in the monitored target area, and automatically perform corresponding alarm processing based on the detected abnormal feature data, which is conducive to improving the security protection capability of the target area and ensuring the normal and stable operation of the target area.

[0147] Optionally, performing corresponding alarm processing based on the abnormal feature data includes:

[0148] Generate corresponding alarm information based on the abnormal characteristic data.

[0149] In this step, the above abnormal characteristic data can be filled into the preset alarm information template to generate the corresponding alarm information. The above alarm information template is constructed according to the actual business alarm requirements, and the content of the alarm information template can be written and generated by relevant personnel, for example, it can include content information such as time, type, and location.

[0150] Obtain a target emergency plan corresponding to the abnormal characteristic data.

[0151] In this step, for different abnormal situations, emergency plans matching the abnormal situations will be generated in advance, and the corresponding relationship between the abnormal situations and the emergency plans will be stored in a preset emergency database. The emergency database can be queried based on the abnormal feature data to obtain the specified abnormal situation corresponding to the abnormal feature data, and then the specified emergency plan corresponding to the specified abnormal situation can be found from the emergency database, and the specified emergency plan can be used as the above-mentioned target emergency plan.

[0152] Get the preset exception notification method.

[0153] In this step, the above-mentioned abnormal notification method can specifically be any one of the following methods: sound, pop-up window, text message, email, etc.

[0154] Based on the abnormal notification method, the alarm information and the target emergency plan are sent to corresponding abnormality handling personnel.

[0155] In this step, the above-mentioned exception handling personnel can be the person responsible for handling the target area when an abnormality occurs. In addition, each abnormal event that occurs in the target area can be further recorded in detail, including the time, location, handling process, results, etc., and regular review and analysis can be conducted to optimize the monitoring system and improve emergency response capabilities.

[0156] In this embodiment, the corresponding alarm information is generated based on the abnormal characteristic data; then the target emergency plan corresponding to the abnormal characteristic data is obtained; then the preset abnormal notification method is obtained; and subsequently, the alarm information and the target emergency plan are sent to the corresponding abnormal handling personnel based on the abnormal notification method. When the present application detects that there is abnormal characteristic data in the monitoring characteristic data, it will automatically and intelligently generate corresponding alarm information based on the abnormal characteristic data, and obtain the target emergency plan corresponding to the abnormal characteristic data, and subsequently send the alarm information and the target emergency plan to the corresponding abnormal handling personnel based on the preset abnormal notification method, so that the abnormal handling personnel can quickly respond to and handle the abnormal situation in the target area according to the received alarm information and target emergency plan, effectively improving the safety protection capability of the target area, and ensuring the normal and stable operation of the target area, and improving the work efficiency and work experience of the abnormal handling personnel.

[0157] Optionally, after acquiring the initial monitoring data corresponding to the target area collected by the monitoring system, the method further includes:

[0158] Obtain a target storage policy corresponding to the initial monitoring data.

[0159] In this step, the target storage strategy may adopt a circular overwrite or scheduled backup strategy to ensure that data will not be lost due to insufficient storage space.

[0160] The target storage medium corresponding to the initial monitoring data is called.

[0161] In this step, there is no specific limitation on the selection of the above-mentioned target storage medium, for example, it may include a local database, a hard disk, a cloud server, a blockchain, etc.

[0162] The initial monitoring data is stored based on the target storage policy and the target storage medium.

[0163] In this step, the initial monitoring data may be stored in the target storage medium in a storage manner in accordance with the target storage strategy.

[0164] In this embodiment, by obtaining the target storage policy corresponding to the initial monitoring data; then calling the target storage medium corresponding to the initial monitoring data; and subsequently storing and processing the initial monitoring data based on the target storage policy and the target storage medium. After the monitoring system collects the initial monitoring data corresponding to the target area, the present application will intelligently obtain the target storage policy corresponding to the initial monitoring data, call the target storage medium corresponding to the initial monitoring data, and then store and process the initial monitoring data based on the target storage policy and the target storage medium, thereby ensuring the data security of the initial monitoring data, and ensuring that the initial monitoring data will not be lost due to insufficient storage space, thereby improving the storage intelligence of the initial monitoring data.

[0165] Further references Figure 3 , as a response to the above Figure 2 In order to realize the method shown in the figure, the present application provides an embodiment of a monitoring processing device 300, which is similar to Figure 2 Corresponding to the method embodiment shown, the device can be specifically applied to various electronic devices.

[0166] An embodiment of the present invention provides a monitoring processing device 300, and the monitoring processing device 300 includes:

[0167] The first receiving module 310 is used to receive monitoring requirement information corresponding to a target area input by a user in a preset interactive page; wherein the target area is a use environment of a target lamp;

[0168] An extraction module 320, configured to parse the monitoring requirement information based on a preset natural language understanding component to extract corresponding key monitoring information;

[0169] A search module 330, configured to search for relevant items corresponding to the key monitoring information from a preset knowledge base, and return the relevant items to the user through the interactive page;

[0170] A second receiving module 340 is used to receive an item reply corresponding to the related item input by the user in the interactive page;

[0171] A screening module 350 is used to screen out the first item to which a reply has been made from all the related items based on the item reply;

[0172] A calculation module 360, configured to calculate a reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items;

[0173] A determination module 370 is used to determine whether the reliability coefficient is greater than or equal to a preset reliability standard coefficient;

[0174] The monitoring module 380 is configured to, if yes, determine the monitoring requirement information as target monitoring requirement information matching the target area, and perform monitoring processing on the target area based on the target monitoring requirement information.

[0175] Optionally, the calculation module 360 ​​includes:

[0176] A first acquisition submodule, used to acquire a first quantity of the first item;

[0177] A second acquisition submodule is used to acquire the total number of the related items;

[0178] A first calling submodule, used for calling a preset first calculation formula;

[0179] A first calculation submodule, configured to calculate the first number of the first items and the total number of the related items based on the first calculation formula to obtain a corresponding first calculation result;

[0180] The first determination submodule is used to use the first calculation result as a reliability coefficient corresponding to the monitoring requirement information.

[0181] Optionally, the calculation module 360 ​​includes:

[0182] A screening submodule, configured to screen out second items that meet a preset completeness response condition from all the first items based on the item responses;

[0183] A third acquisition submodule, used to acquire a second quantity of the second item;

[0184] A fourth acquisition submodule, used to acquire a preset consistency factor;

[0185] A second calling submodule, used for calling a preset second calculation formula;

[0186] A second calculation submodule, configured to calculate the second number of the second items, the total number of the related items, and the consistency factor based on the second calculation formula to obtain a corresponding second calculation result;

[0187] The second determination submodule is used to use the second calculation result as a reliability coefficient corresponding to the monitoring requirement information.

[0188] Optionally, the monitoring module 380 includes:

[0189] An adjustment submodule, used to adjust the monitoring range of the preset monitoring system based on the target monitoring requirement information to obtain a corresponding target monitoring range;

[0190] A configuration submodule, configured to configure the monitoring parameters of the monitoring system based on the target monitoring requirement information to obtain corresponding target monitoring parameters;

[0191] A testing submodule, used for testing the monitoring system after completing the adjustment process of the monitoring system;

[0192] The monitoring submodule is used to start the monitoring system if the monitoring system passes the test, so as to monitor the target area.

[0193] Optionally, the monitoring module 380 further includes:

[0194] A fifth acquisition submodule, used to acquire initial monitoring data corresponding to the target area collected by the monitoring system;

[0195] A preprocessing submodule, used to preprocess the initial monitoring data to obtain corresponding monitoring data;

[0196] An extraction submodule, used to extract features from the monitoring data to obtain corresponding monitoring feature data;

[0197] A detection submodule, used to perform anomaly detection on the monitoring feature data, and determine whether there is abnormal feature data in the monitoring feature data;

[0198] The execution submodule is used to perform corresponding alarm processing based on the abnormal feature data.

[0199] Optionally, the execution submodule includes:

[0200] A generating unit, configured to generate corresponding alarm information based on the abnormal characteristic data;

[0201] A first acquisition unit, used to acquire a target emergency plan corresponding to the abnormal characteristic data;

[0202] A second acquisition unit, used to acquire a preset abnormal notification method;

[0203] A sending unit is used to send the alarm information and the target emergency plan to corresponding exception handling personnel based on the exception notification method.

[0204] Optionally, the monitoring module 380 further includes:

[0205] A sixth acquisition submodule, used to acquire a target storage strategy corresponding to the initial monitoring data;

[0206] A third calling submodule, used to call a target storage medium corresponding to the initial monitoring data;

[0207] The storage submodule is used to perform storage processing on the initial monitoring data based on the target storage policy and the target storage medium.

[0208] To solve the above technical problems, the present application also provides a computer device. Figure 4 , Figure 4 This is a basic structural block diagram of the computer device in this embodiment.

[0209] The computer device 4 includes a memory 41, a processor 42, and a network interface 43 that are interconnected through a system bus. It should be noted that the figure only shows a computer device 4 with components 41-43, but it should be understood that it is not required to implement all the components shown, and more or fewer components can be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Programmable Gate Array, FPGA), digital processors (Digital Signal Processor, DSP), embedded devices, etc.

[0210] The computer device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The computer device may interact with a user through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.

[0211] The memory 41 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 41 can be an internal storage unit of the computer device 4, such as a hard disk or memory of the computer device 4. In other embodiments, the memory 41 can also be an external storage device of the computer device 4, such as a plug-in hard disk equipped on the computer device 4, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), etc. Of course, the memory 41 can also include both the internal storage unit of the computer device 4 and its external storage device. In this embodiment, the memory 41 is generally used to store the operating system and various application software installed on the computer device 4, such as the program code of the monitoring processing method, etc. In addition, the memory 41 can also be used to temporarily store various types of data that have been output or are to be output.

[0212] The processor 42 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips in some embodiments. The processor 42 is generally used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is used to run the program code stored in the memory 41 or process data, such as running the program code of the monitoring processing method.

[0213] The network interface 43 may include a wireless network interface or a wired network interface. The network interface 43 is generally used to establish a communication connection between the computer device 4 and other electronic devices.

[0214] The present application also provides another implementation, namely, providing a computer-readable storage medium, wherein the computer-readable storage medium stores the application crash processing program, and the application crash processing program can be executed by at least one processor so that the at least one processor performs the steps of the monitoring processing method as described above.

[0215] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware online platform, and of course, by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0216] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0217] Obviously, the embodiments described above are only some embodiments of the present application, rather than all embodiments. The preferred embodiments of the present application are given in the accompanying drawings, but they do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although the present application is described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to perform equivalent replacement of some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of this application, directly or indirectly used in other related technical fields, is similarly within the scope of patent protection of this application.

Claims

1. A monitoring processing method, characterized in that: include: Receiving monitoring requirement information corresponding to a target area input by a user in a preset interactive page; wherein the target area is a use environment of a target lamp; Parsing the monitoring requirement information based on a preset natural language understanding component to extract corresponding key monitoring information; Finding relevant items corresponding to the key monitoring information from a preset knowledge base, and returning the relevant items to the user through the interactive page; receiving an item reply corresponding to the relevant item input by the user in the interactive page; Based on the item reply, filtering out the first item to which a reply has been made from all the related items; Calculating a reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items; Determine whether the reliability coefficient is greater than or equal to the preset reliability standard coefficient; If so, the monitoring requirement information is determined to be target monitoring requirement information matching the target area, and monitoring processing is performed on the target area based on the target monitoring requirement information.

2. The method according to claim 1, characterized in that The calculating the reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items includes: Obtaining a first quantity of the first items; Obtaining the total number of related items; Call the preset first calculation formula; Calculate the first number of the first items and the total number of the related items based on the first calculation formula to obtain a corresponding first calculation result; The first calculation result is used as a reliability coefficient corresponding to the monitoring requirement information.

3. The method according to claim 1, characterized in that The calculating the reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items includes: Based on the item replies, selecting second items that meet preset completeness reply conditions from all the first items; Obtaining a second quantity of the second item; Get the preset consistency factor; Call the preset second calculation formula; Calculating the second number of the second items, the total number of the related items, and the consistency factor based on the second calculation formula to obtain a corresponding second calculation result; The second calculation result is used as a reliability coefficient corresponding to the monitoring requirement information.

4. The method according to claim 1, characterized in that: The monitoring process of the target area based on the target monitoring requirement information includes: Adjusting the monitoring range of the preset monitoring system based on the target monitoring requirement information to obtain a corresponding target monitoring range; Based on the target monitoring requirement information, the monitoring parameters of the monitoring system are configured to obtain corresponding target monitoring parameters; After completing the adjustment process for the monitoring system, testing the monitoring system; If the monitoring system passes the test, the monitoring system is started to monitor the target area.

5. The method according to claim 4, characterized in that After the monitoring system is started to monitor the target area, the method includes: Acquiring initial monitoring data corresponding to the target area collected by the monitoring system; Preprocessing the initial monitoring data to obtain corresponding monitoring data; Extracting features from the monitoring data to obtain corresponding monitoring feature data; Performing anomaly detection on the monitoring feature data to determine whether there is abnormal feature data in the monitoring feature data; If so, corresponding alarm processing is performed based on the abnormal feature data.

6. The method according to claim 5, characterized in that The performing corresponding alarm processing based on the abnormal characteristic data includes: Generate corresponding alarm information based on the abnormal characteristic data; Obtaining a target emergency plan corresponding to the abnormal characteristic data; Get the preset exception notification method; Based on the abnormal notification method, the alarm information and the target emergency plan are sent to corresponding abnormality handling personnel.

7. The method according to claim 5, characterized in that After acquiring the initial monitoring data corresponding to the target area collected by the monitoring system, the method further includes: Acquire a target storage strategy corresponding to the initial monitoring data; Calling a target storage medium corresponding to the initial monitoring data; The initial monitoring data is stored based on the target storage policy and the target storage medium.

8. A monitoring processing device, characterized in that: include: A first receiving module is used to receive monitoring requirement information corresponding to a target area input by a user in a preset interactive page; wherein the target area is a use environment of a target lamp; An extraction module, used to parse the monitoring requirement information based on a preset natural language understanding component to extract corresponding key monitoring information; A search module, used to search for relevant items corresponding to the key monitoring information from a preset knowledge base, and return the relevant items to the user through the interactive page; A second receiving module, configured to receive an item reply corresponding to the relevant item input by the user in the interactive page; A screening module, configured to screen out a first item to which a reply has been made from all the related items based on the item reply; A calculation module, configured to calculate a reliability coefficient corresponding to the monitoring requirement information based on the total number of the first item and the related items; A judgment module, used to judge whether the reliability coefficient is greater than or equal to a preset reliability standard coefficient; The monitoring module is used to, if yes, determine the monitoring requirement information as target monitoring requirement information matching the target area, and perform monitoring processing on the target area based on the target monitoring requirement information.

9. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the monitoring processing method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the monitoring processing method according to any one of claims 1 to 7 are implemented.

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