Dynamic guiding method and system for equipment installation

Abstract

The invention discloses a dynamic guiding method and system for equipment installation. The method comprises the following steps: receiving an equipment installation starting request initiated by a user side; the installation starting request carries an equipment unique identifier and initial installation scene information; pushing adaptive initial installation guide information to the user side; sending an initialization instruction to the equipment, and triggering an installation sensing module included in the equipment to operate; receiving a device installation structured state data packet sent by the installation sensing module after the user completes the operation of the current step in the device installation process based on the initial installation guide information; performing analysis and state judgment on the structured state data to obtain a state judgment result; and performing dynamic decision making and guide updating according to the state judgment result, and sending updated guide information to the user side. The intelligent installation process is realized, the guide path can be adaptively adjusted according to real-time feedback of the equipment, static guide is changed into dynamic guide, and the equipment installation efficiency and accuracy are improved.

Description

Technical Field

[0001] This invention relates to the field of equipment installation guidance technology, and in particular to a dynamic guidance method and system for equipment installation. Background Technology

[0002] Currently, most self-installation devices (such as smart home devices, network devices, and office equipment) rely primarily on static paper manuals, fixed electronic tutorials, or simple app guidance. These methods apply a uniform installation procedure to all users and all devices, failing to address the diversity and complexity of installation environments and exhibiting the limitations of static guidance. When anomalies occur during installation (such as a component not being recognized, a special network environment, or incorrect installation posture), static guidance cannot detect these anomalies or provide targeted solutions, leading to installation failure or a frustrating user experience. Once installation stalls, users can only seek help from customer service or professionals, increasing installation costs and time, and failing to achieve truly smooth self-installation. Existing guidance systems are "open-loop"; they only issue commands and cannot provide feedback or adjustments based on the actual status of the device, lacking a closed-loop cycle of perception-decision-guidance. Summary of the Invention

[0003] This invention aims to at least partially solve one of the technical problems in the aforementioned technologies. Therefore, the purpose of this invention is to propose a dynamic guidance method and system for equipment installation, capable of handling the diversity and complexity of installation environments, realizing intelligent installation processes, and adaptively adjusting the guidance path based on real-time feedback from the equipment, transforming static guidance into dynamic guidance, thereby improving equipment installation efficiency and accuracy.

[0004] To achieve the above objectives, embodiments of the present invention propose a dynamic guidance method for device installation, comprising: Receive a device installation and startup request initiated by the user terminal; the installation and startup request carries a unique device identifier and initial installation scenario information; Based on the device's unique identifier and initial installation scenario information, push appropriate initial installation guidance information to the user's device; Based on the device's unique identifier and initial installation scenario information, an initialization command is sent to the device, triggering the operation of the installation perception module included in the device; Receives a structured status data packet of the device installation sent by the installation sensing module after the user completes the current step of the device installation process based on the initial installation guidance information; The structured state data is parsed and its state is determined to obtain the state determination result; Based on the status assessment results, dynamic decisions and guidance updates are made, and the updated guidance information is sent to the user terminal.

[0005] According to some embodiments of the present invention, based on the device's unique identifier and initial installation scenario information, adapted initial installation guidance information is pushed to the user terminal, including: Using the device's unique identifier as an index, the device attribute archive is queried to extract the device's core installation-related attributes and obtain the first boot solution. Keywords are extracted from the initial installation scenario information based on natural language processing algorithms. These keywords are then matched with the scenario-boot mapping library. Based on the matching results, scenario tags are determined, and a second boot scheme is obtained. The first and second boot schemes are merged and processed to push adapted initial installation boot information to the user.

[0006] According to some embodiments of the present invention, based on the device's unique identifier and initial installation scenario information, an initialization command is sent to the device to trigger the operation of the installation sensing module included in the device, including: Perform device identification verification on the unique device identifier to obtain the first verification result; The initial installation scenario information is verified to obtain a second verification result. When both the first and second verification results are successful, the device hardware configuration archive is queried based on the device's unique identifier to obtain the first configuration information, and the scenario-initialization parameter mapping library is queried based on the initial installation scenario information to obtain the second configuration information. An initialization command is determined based on the first configuration information and the second configuration information, triggering the operation of the installation sensing module included in the device; the initialization command includes an identifier header, a parameter body, and a verification tail.

[0007] According to some embodiments of the present invention, the structured state data packet includes the current installation step number, environmental perception data, equipment operating status parameters, and installation posture data.

[0008] According to some embodiments of the present invention, structured state data is parsed and state is determined to obtain a state determination result, including: Based on the current installation step number, a preset data table is queried to determine the preset parameter table; the preset parameter table includes preset environmental perception data, preset equipment operating status parameters, and preset installation posture data. Based on environmental perception data and preset environmental perception data, determine the first judgment result; The second judgment result is determined based on the equipment operating status parameters and the preset equipment operating status parameters; The third judgment result is determined based on the installation posture data and the preset installation posture data; The state judgment result is obtained based on the first judgment result, the second judgment result, and the third judgment result.

[0009] According to some embodiments of the present invention, dynamic decision-making and guidance updates are performed based on the state judgment results, and the updated guidance information is sent to the user terminal, including: If the status assessment result is normal, guide the user to the next step; When the status judgment result is abnormal, an abnormal status code is generated. Based on the abnormality type, the corresponding remedial steps are matched from the status-step mapping table to obtain updated guidance information.

[0010] According to some embodiments of the present invention, before parsing and determining the state of the structured state data, the method further includes determining whether the structured state data is valid data.

[0011] According to some embodiments of the present invention, determining whether structured state data is valid data includes: Based on the N-dimensional structured state data from the M sampling points of the installed sensing module, construct the original data matrix; Extract sampled values ​​from each dimension of the original data matrix to form N-dimensional vectors; Define a sliding window length K for each dimension vector, and generate (M-K+1) sliding window sub-vectors; where K is an odd number; For the p-th sliding window sub-vector of each dimension vector, calculate the first effective parameter and the second effective parameter; the first effective parameter is the ratio of the standard deviation to the mean of the sliding window sub-vector; the second effective parameter is the average absolute rate of change within the sliding window. The first and second valid parameters are weighted and calculated to obtain the dimension validity parameters. The entire valid value of the structured state data is obtained by weighting and calculating all the dimension validity parameters. When the global valid value is greater than the preset valid value threshold, the structured state data is considered valid data.

[0012] According to some embodiments of the present invention, a boot system employing the device installation dynamic boot method described above includes: The first receiving module is used to receive a device installation and startup request initiated by the user terminal; the installation and startup request carries a unique device identifier and initial installation scenario information. The push module is used to push adapted initial installation guidance information to the user terminal based on the device's unique identifier and initial installation scenario information. The sending module is used to send initialization commands to the device based on the device's unique identifier and initial installation scenario information, triggering the operation of the installation perception module included in the device; The second receiving module is used to receive the structured status data packet of the device installation sent by the installation sensing module after the user completes the current step of the device installation process based on the initial installation guidance information. The judgment module is used to parse the structured state data and judge its state to obtain the state judgment result; The update module is used to make dynamic decisions and guide updates based on the status judgment results, and send the updated guidance information to the user terminal.

[0013] This invention proposes a dynamic guidance method and system for equipment installation. Using the equipment's unique identifier and initial installation scenario information as the adaptation basis, the initial guidance information is tailored to the equipment characteristics and installation environment from the outset, improving the accuracy and adaptability of the installation guidance. Through an installation sensing module that collects and feeds back the equipment status in real time, dynamic closed-loop management of the installation process is achieved. The guidance path can be adaptively adjusted based on real-time feedback from the equipment, transforming static guidance into dynamic guidance. This allows for timely identification of problems during installation and the provision of specific solutions, significantly reducing the probability of installation failure and improving the efficiency and accuracy of equipment installation.

[0014] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0015] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0016] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of a dynamic boot method for device installation according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating the determination of initial installation boot information according to an embodiment of the present invention; Figure 3 This is a block diagram of a device-installed dynamic boot system according to an embodiment of the present invention. Detailed Implementation

[0017] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0018] like Figure 1 As shown, this embodiment of the invention proposes a dynamic guidance method for device installation, including steps S1-S6: S1. Receive a device installation and startup request initiated by the user terminal; the installation and startup request carries the device's unique identifier and initial installation scenario information; S2. Based on the device's unique identifier and initial installation scenario information, push appropriate initial installation guidance information to the user's terminal; S3. Based on the device's unique identifier and initial installation scenario information, send an initialization command to the device to trigger the operation of the installation perception module included in the device; S4. Receive the structured status data packet of device installation sent by the installation perception module after the user completes the current step of the device installation process based on the initial installation guidance information. S5. Parse the structured state data and determine its state to obtain the state determination result; S6. Make dynamic decisions and provide guidance updates based on the status judgment results, and send the updated guidance information to the user terminal.

[0019] The working principle of the above technical solution is as follows: The server receives a device installation startup request initiated by the user. The installation startup request carries the device's unique identifier and initial installation scenario information. Using both the device's unique identifier and the initial installation scenario information as dual criteria, the server filters out initial installation guidance information that matches the current device model, specifications, and installation scenario, and pushes it to the user. This guidance information includes basic installation steps, a tool preparation list, and scenario precautions, ensuring that the user receives targeted guidance from the initial installation stage. Based on the device's unique identifier and initial installation scenario information, an initialization command is sent to the device, triggering the operation of the installation perception module included in the device. The installation perception module facilitates the collection of installation perception data during the device installation process. The server receives a structured status data packet of the device installation sent by the installation perception module after the user completes the current step of the device installation process based on the initial installation guidance information. The structured status data is parsed and its status is judged to obtain a status judgment result, determining whether the installation is in a normal or abnormal state, and then updating the guidance accordingly. If the state is normal, the next stage of installation guidance information is generated; if the state is abnormal, targeted guidance content such as correction guidance and troubleshooting steps is generated to address the abnormal issues.

[0020] The beneficial effects of the above technical solution are as follows: Based on the unique device identifier and initial installation scenario information, the initial guidance information is tailored to the device characteristics and installation environment from the outset, improving the accuracy and adaptability of the installation guidance. By collecting and feeding back the device status in real time through the installation sensing module, dynamic closed-loop management of the installation process is achieved. The guidance path can be adaptively adjusted based on real-time device feedback, transforming static guidance into dynamic guidance. This allows for timely identification of problems during installation and the provision of specific solutions, significantly reducing the probability of installation failure and improving the efficiency and accuracy of device installation.

[0021] like Figure 2 As shown, according to some embodiments of the present invention, based on the device's unique identifier and initial installation scenario information, adapted initial installation guidance information is pushed to the user terminal, including steps S21-S23: S21. Using the device's unique identifier as an index, query the device attribute archive, extract the core installation-related attributes of the device, and obtain the first boot scheme; S22. Extract keywords from the initial installation scenario information based on natural language processing algorithms, match the keywords with the scenario-boot mapping library, determine the scenario label based on the matching results, and obtain the second boot scheme; S23. The first and second boot schemes are merged and the corresponding initial installation boot information is pushed to the user.

[0022] The working principle of the above technical solution is as follows: The equipment attribute archive stores the core installation-related attributes of the equipment, including physical attributes, installation process attributes, and performance compatibility attributes. Physical attributes include dimensions, weight, mounting hole parameters, and interface type; installation process attributes include installation method, required tool list, and key prohibitions; performance compatibility attributes include rated voltage range, ambient temperature compatibility threshold, and installation distance requirements with surrounding equipment. Using the equipment's unique identifier as an index, the equipment attribute archive is queried to extract the core installation-related attributes, resulting in the first guidance scheme, ensuring the equipment specificity of the guidance information. Word segmentation technology is used to segment the initial installation scenario information to obtain basic vocabulary; key entities are identified using a named entity recognition algorithm as scenario keywords; redundant words are filtered using a domain dictionary, ultimately outputting a set of core scenario keywords. A scenario-guidance mapping library pre-establishes the association between keywords, scenario tags, and guidance items. Through fuzzy matching between core scenario keywords and the mapping library, the scenario tag for the current installation scenario is determined, and then the scenario-specific guidance content corresponding to that scenario tag is extracted, forming a second guidance scheme that is only adapted to the current scenario, ensuring the scenario adaptability of the guidance information. During the fusion of the first and second guidance schemes, when there is a conflict between the first and second guidance schemes, the device safety performance requirements are given the highest priority. Duplicate guidance content is deleted, and the scenario guidance item is embedded into the corresponding node of the device guidance step to determine the initial installation guidance information.

[0023] The beneficial effects of the above technical solution are: generating initial installation guidance information based on the unique identifier of the equipment and the initial installation scenario information, which helps to reduce initial guidance deviation, lower the probability of closed-loop abnormal feedback, and improve management efficiency.

[0024] According to some embodiments of the present invention, based on the device's unique identifier and initial installation scenario information, an initialization command is sent to the device to trigger the operation of the installation sensing module included in the device, including: Perform device identification verification on the unique device identifier to obtain the first verification result; The initial installation scenario information is verified to obtain a second verification result. When both the first and second verification results are successful, the device hardware configuration archive is queried based on the device's unique identifier to obtain the first configuration information, and the scenario-initialization parameter mapping library is queried based on the initial installation scenario information to obtain the second configuration information. An initialization command is determined based on the first configuration information and the second configuration information, triggering the operation of the installation sensing module included in the device; the initialization command includes an identifier header, a parameter body, and a verification tail.

[0025] The working principle of the above technical solution is as follows: The system has a built-in device whitelist library and an identification rule library. It compares whether the unique identifier of the device exists in the whitelist library to exclude illegal devices (such as counterfeit or scrapped devices); it verifies whether the identifier format conforms to preset rules (such as the prefix of the SN code + production date + serial number structure), and removes invalid identifiers with incorrect formats to obtain the first verification result, which helps to eliminate the risk of sending instructions to illegal devices from the source. The initial installation scenario information is verified to check whether the scenario information contains core key fields (such as installation location, environment type, spatial parameters, etc.) to avoid subsequent parameter configuration deviations due to missing information. The device hardware configuration archive is queried using the unique identifier of the device as an index. The device hardware configuration archive stores hardware parameters directly related to the installation of the sensing module, including: the sensing module model, supported sampling types (such as installation posture, ambient temperature and humidity, device voltage), maximum sampling frequency, data transmission protocol, power supply mode, etc. The scenario-initialization parameter mapping library is retrieved using the initial installation scenario information as the query condition. The scenario-initialization parameter mapping library pre-establishes the association between scenario type and sensing parameters. The initialization command adopts a three-part structure of identifier header + parameter body + checksum tail to ensure secure transmission and accurate execution. The identifier header contains a unique device identifier and a command type identifier, used by the device to quickly identify the command as its own unique initialization command; the parameter body encapsulates the first configuration information and the second configuration information; the checksum tail uses a CRC cyclic redundancy check code, used by the device to verify whether data loss or tampering has occurred during the transmission of the command.

[0026] The beneficial effects of the above technical solution are as follows: Device identification verification is performed on the unique device identifier, and scenario information verification is performed on the initial installation scenario information. This dual verification intercepts invalid requests before the instruction is sent, ensuring that only valid requests are processed, thus reducing the generation of invalid data at the source. The initialization instruction is determined based on the first and second configuration information, facilitating accurate perception by the installation sensing module and enabling initial installation guidance.

[0027] According to some embodiments of the present invention, the structured state data packet includes the current installation step number, environmental perception data, equipment operating status parameters, and installation posture data.

[0028] The working principle and beneficial effects of the above technical solution are as follows: Environmental perception data is acquired based on the device's built-in environmental sensors. Device operating status parameters are used to reflect whether the device has experienced hardware malfunctions due to installation operations. Installation attitude data refers to the spatial attitude characterization parameters of the device during installation, specifically including: pitch angle and verticality deviation of the installation plane. Installation attitude data is acquired based on the device's built-in attitude sensors, such as an accelerometer that collects the device's gravitational acceleration components in a three-dimensional coordinate system in real time. A laser positioning sensor emits a laser beam to a preset installation reference surface and collects the distance data between the device and the reference surface. A first-order low-pass filter is used to eliminate high-frequency noise from the accelerometer, and a moving average filtering algorithm is used to smooth the distance data from the laser positioning sensor. The pitch angle is calculated using the gravitational component of the accelerometer. Based on the three distance data from the laser positioning sensor, the angle between the normal vectors of the plane containing the three points and the installation reference surface is calculated, and the verticality deviation of the installation plane is determined.

[0029] According to some embodiments of the present invention, structured state data is parsed and state is determined to obtain a state determination result, including: Based on the current installation step number, a preset data table is queried to determine the preset parameter table; the preset parameter table includes preset environmental perception data, preset equipment operating status parameters, and preset installation posture data. Based on environmental perception data and preset environmental perception data, determine the first judgment result; The second judgment result is determined based on the equipment operating status parameters and the preset equipment operating status parameters; The third judgment result is determined based on the installation posture data and the preset installation posture data; The state judgment result is obtained based on the first judgment result, the second judgment result, and the third judgment result.

[0030] The working principle and beneficial effects of the above technical solution are as follows: The preset data table uses the equipment type and current installation step number as a composite primary key to ensure standard equipment compatibility and step specificity. Based on environmental perception data and preset environmental perception data, a first judgment result is determined; based on equipment operating status parameters and preset equipment operating status parameters, a second judgment result is determined; based on installation posture data and preset installation posture data, a third judgment result is determined; and based on the first, second, and third judgment results, a status judgment result is obtained. This improves the accuracy of the obtained status judgment result.

[0031] According to some embodiments of the present invention, dynamic decision-making and guidance updates are performed based on the state judgment results, and the updated guidance information is sent to the user terminal, including: If the status assessment result is normal, guide the user to the next step; When the status judgment result is abnormal, an abnormal status code is generated. Based on the abnormality type, the corresponding remedial steps are matched from the status-step mapping table to obtain updated guidance information.

[0032] The working principle and beneficial effects of the above technical solution are as follows: Dynamic decision-making and guidance updates are performed based on the device's built-in hierarchical state machine model. This state machine model predefines a set of states, state judgment dimensions, state transition rules, and decision-making logic. The predefined state set includes initial state, step execution state, exception handling state, and step completion state. The state judgment dimensions include installation posture compliance, device operating status, and step execution progress. When the state machine is in the step execution state, it reads the installation posture data, device operating status parameters, and current step completion rate from the structured state data packet; it then judges the state judgment dimensions; if all three dimensions are satisfied, it guides the user to the next step. If at least one dimension is not satisfied, an exception status code is generated. Based on the exception type, the corresponding remedial step is matched from the state-step mapping table to obtain updated guidance information. This achieves dynamic guidance for device installation, facilitating a clear understanding of the installation information for each step and improving the efficiency and accuracy of device installation.

[0033] In one embodiment, the state-step mapping table can be updated via the cloud. On the user's end, a guided interface is generated, using a webpage to display guided information such as images and videos, and to receive user feedback on completion of operations.

[0034] According to some embodiments of the present invention, before parsing and determining the state of the structured state data, the method further includes determining whether the structured state data is valid data.

[0035] The beneficial effects of the above technical solution are: avoiding the parsing of invalid data, improving data utilization, facilitating the analysis of valid data, and improving the accuracy of the obtained status judgment results.

[0036] According to some embodiments of the present invention, determining whether structured state data is valid data includes: Based on the N-dimensional structured state data from the M sampling points of the installed sensing module, construct the original data matrix; Extract sampled values ​​from each dimension of the original data matrix to form N-dimensional vectors; Define a sliding window length K for each dimension vector, and generate (M-K+1) sliding window sub-vectors; where K is an odd number; For the p-th sliding window sub-vector of each dimension vector, calculate the first effective parameter and the second effective parameter; the first effective parameter is the ratio of the standard deviation to the mean of the sliding window sub-vector; the second effective parameter is the average absolute rate of change within the sliding window. The first and second valid parameters are weighted and calculated to obtain the dimension validity parameters. The entire valid value of the structured state data is obtained by weighting and calculating all the dimension validity parameters. When the global valid value is greater than the preset valid value threshold, the structured state data is considered valid data.

[0037] The working principle of the above technical solution is as follows: Based on the N-dimensional structured state data from the M sampling points of the installed sensing module, an M×N-dimensional original data matrix is ​​constructed. ;in, Let be the j-th dimension state parameter value for the i-th sampling point. Extract the sampled values ​​of each dimension from the original data matrix to form an N-dimensional vector. , Let the j-th dimension vector be a vector; define a sliding window length K for each dimension vector, and generate (M-K+1) sliding window sub-vectors. , Each sliding window sub-vector contains K consecutive sampled values ​​of the j-th dimension parameter. The smaller the first effective parameter, the smoother the data, free from severe fluctuations or sensor noise interference. The second effective parameter is: ; in, The average absolute rate of change within the j-th dimension of the sliding window characterizes the rate of data change and reflects whether it conforms to the installation action characteristics. This represents the t-th sampled value within the sliding window; The sample value is the (t+1)th sample value within the sliding window. A weighted calculation is performed based on the first and second valid parameters to obtain the dimension validity parameters. A weighted calculation is then performed on all dimension validity parameters to obtain the global valid value corresponding to the structured state data. When the global valid value is greater than a preset valid value threshold, the structured state data is considered valid. The weighting coefficients used in the weighting calculation are set by the user based on practical experience.

[0038] The beneficial effects of the above technical solution are as follows: By constraining the data dispersion through the first effective parameter, abnormal fluctuations caused by violent shaking, sensor noise, etc., are accurately identified. By limiting the data change rate through the second effective parameter, normal data with a uniform and gradual change during installation is determined to be valid, improving the accuracy of data validity judgment and avoiding the risk of misjudgment of the scenario.

[0039] like Figure 3As shown, according to some embodiments of the present invention, a boot system applying the device installation dynamic boot method described above includes: The first receiving module is used to receive a device installation and startup request initiated by the user terminal; the installation and startup request carries a unique device identifier and initial installation scenario information. The push module is used to push adapted initial installation guidance information to the user terminal based on the device's unique identifier and initial installation scenario information. The sending module is used to send initialization commands to the device based on the device's unique identifier and initial installation scenario information, triggering the operation of the installation perception module included in the device; The second receiving module is used to receive the structured status data packet of the device installation sent by the installation sensing module after the user completes the current step of the device installation process based on the initial installation guidance information. The judgment module is used to parse the structured state data and judge its state to obtain the state judgment result; The update module is used to make dynamic decisions and guide updates based on the status judgment results, and send the updated guidance information to the user terminal.

[0040] The beneficial effects of the above technical solution are as follows: Based on the unique device identifier and initial installation scenario information, the initial guidance information is tailored to the device characteristics and installation environment from the outset, improving the accuracy and adaptability of the installation guidance. By collecting and feeding back the device status in real time through the installation sensing module, dynamic closed-loop management of the installation process is achieved. The guidance path can be adaptively adjusted based on real-time device feedback, transforming static guidance into dynamic guidance. This allows for timely identification of problems during installation and the provision of specific solutions, significantly reducing the probability of installation failure and improving the efficiency and accuracy of device installation.

[0041] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A dynamic guidance method for equipment installation, characterized in that, include: Receive a device installation and startup request initiated by the user terminal; the installation and startup request carries a unique device identifier and initial installation scenario information; Based on the device's unique identifier and initial installation scenario information, push appropriate initial installation guidance information to the user's device; Based on the device's unique identifier and initial installation scenario information, an initialization command is sent to the device, triggering the operation of the installation perception module included in the device; Receives a structured status data packet of the device installation sent by the installation sensing module after the user completes the current step of the device installation process based on the initial installation guidance information; The structured state data is parsed and its state is determined to obtain the state determination result; Based on the status assessment results, dynamic decisions and guidance updates are made, and the updated guidance information is sent to the user terminal.

2. The dynamic guidance method for device installation as described in claim 1, characterized in that, Based on the device's unique identifier and initial installation scenario information, appropriate initial installation guidance information is pushed to the user's device, including: Using the device's unique identifier as an index, the device attribute archive is queried to extract the device's core installation-related attributes and obtain the first boot solution. Keywords are extracted from the initial installation scenario information based on natural language processing algorithms. These keywords are then matched with the scenario-boot mapping library. Based on the matching results, scenario tags are determined, and a second boot scheme is obtained. The first and second boot schemes are merged and processed to push adapted initial installation boot information to the user.

3. The dynamic guidance method for device installation as described in claim 1, characterized in that, Based on the device's unique identifier and initial installation scenario information, an initialization command is sent to the device, triggering the operation of the installation awareness module included in the device, including: Perform device identification verification on the unique device identifier to obtain the first verification result; The initial installation scenario information is verified to obtain a second verification result. When both the first and second verification results are successful, the device hardware configuration archive is queried based on the device's unique identifier to obtain the first configuration information, and the scenario-initialization parameter mapping library is queried based on the initial installation scenario information to obtain the second configuration information. An initialization command is determined based on the first configuration information and the second configuration information, triggering the operation of the installation sensing module included in the device; the initialization command includes an identifier header, a parameter body, and a verification tail.

4. The dynamic guidance method for device installation as described in claim 1, characterized in that, The structured status data package includes the current installation step number, environmental perception data, equipment operating status parameters, and installation posture data.

5. The dynamic guidance method for equipment installation as described in claim 4, characterized in that, The structured state data is parsed and its state is determined to obtain the state determination results, including: Based on the current installation step number, a preset data table is queried to determine the preset parameter table; the preset parameter table includes preset environmental perception data, preset equipment operating status parameters, and preset installation posture data. Based on environmental perception data and preset environmental perception data, determine the first judgment result; The second judgment result is determined based on the equipment operating status parameters and the preset equipment operating status parameters; The third judgment result is determined based on the installation posture data and the preset installation posture data; The state judgment result is obtained based on the first judgment result, the second judgment result, and the third judgment result.

6. The dynamic guidance method for device installation as described in claim 5, characterized in that, Based on the status assessment results, dynamic decisions and guidance updates are made, and the updated guidance information is sent to the user terminal, including: If the status assessment result is normal, guide the user to the next step; When the status judgment result is abnormal, an abnormal status code is generated. Based on the abnormality type, the corresponding remedial steps are matched from the status-step mapping table to obtain updated guidance information.

7. The dynamic guidance method for device installation as described in claim 1, characterized in that, Before parsing and determining the state of the structured state data, the process also includes determining whether the structured state data is valid.

8. The dynamic guidance method for device installation as described in claim 7, characterized in that, Determining whether structured state data is valid includes: Based on the N-dimensional structured state data from the M sampling points of the installed sensing module, construct the original data matrix; Extract sampled values ​​from each dimension of the original data matrix to form N-dimensional vectors; Define a sliding window length K for each dimension vector, and generate (M-K+1) sliding window sub-vectors; where K is an odd number; For the p-th sliding window sub-vector of each dimension vector, calculate the first effective parameter and the second effective parameter; the first effective parameter is the ratio of the standard deviation to the mean of the sliding window sub-vector; the second effective parameter is the average absolute rate of change within the sliding window. The first and second valid parameters are weighted and calculated to obtain the dimension validity parameters. The entire valid value of the structured state data is obtained by weighting and calculating all the dimension validity parameters. When the global valid value is greater than the preset valid value threshold, the structured state data is considered valid data.

9. A boot system employing the dynamic boot method for device installation as described in any one of claims 1-8, characterized in that, include: The first receiving module is used to receive device installation and startup requests initiated by the user terminal; The installation start request carries the device's unique identifier and initial installation scenario information; The push module is used to push adapted initial installation guidance information to the user terminal based on the device's unique identifier and initial installation scenario information. The sending module is used to send initialization commands to the device based on the device's unique identifier and initial installation scenario information, triggering the operation of the installation perception module included in the device; The second receiving module is used to receive the structured status data packet of the device installation sent by the installation sensing module after the user completes the current step of the device installation process based on the initial installation guidance information. The judgment module is used to parse the structured state data and judge its state to obtain the state judgment result; The update module is used to make dynamic decisions and guide updates based on the status judgment results, and send the updated guidance information to the user terminal.

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