A management system and method based on data tracking

Abstract

The present invention discloses a management system and method based on data tracking, which belongs to the technical field of funeral management. The method comprises: collecting basic information data of the deceased; entering the collected basic information data of the deceased, registering the identity information, cause of death and will of the deceased, and generating a unique identification code for subsequent data tracking; tracking the service items of the deceased throughout the whole process according to the entered basic information data of the deceased, and recording the processing situation and responsible persons of each link; uploading operation information to the system in real time by scanning the unique identification code and using the data tracking strategy, including timestamp and operation description, establishing a data interface and information exchange mechanism with the cemetery management department and relevant public security departments, and updating and synchronizing the data of each link in real time; storing all funeral service data in a cloud database, and mining the key data indicators of funeral services by using big data analysis technology. The present invention is suitable for the complex dynamic environment of the whole funeral process.

Description

Technical Field

[0001] The present invention belongs to the technical field of funeral management, and in particular to a management system and method based on data tracking. Background Art

[0002] Existing funeral service management methods often have problems such as cumbersome processes, information asymmetry, and uneven service quality. Traditional methods rely on manual operations, are inefficient, and prone to errors and omissions, making it difficult to meet the increasing quality and efficiency requirements of funeral services in modern society. Therefore, providing a management method based on data tracking can effectively solve the above problems and has important practical significance.

[0003] For example, the Chinese patent with publication number CN113780838A discloses an information-based one-stop funeral service platform based on big data, including a cloud server, a user login module, a cloud sacrifice module, a basic information management module, an online funeral home module, a funeral home management module, an online cemetery module, a cemetery management module, a system management module and an article management module. The invention relates to the field of funeral service technology. The information-based one-stop funeral service platform based on big data can realize the construction of a one-stop funeral service platform for family members, the Xiaogan Smart Funeral Service Platform, and bring the funeral homes and cemeteries in the region into the unified management and supervision of the civil affairs department, build a funeral communication, service and feedback bridge between family members and the civil affairs department, enhance the image of the civil affairs department, and promote the city's funeral reform to a new level, truly realizing green funeral, ecological funeral, humanistic funeral, and scientific funeral.

[0004] For example, the Chinese patent with publication number CN116777370A discloses a comprehensive management platform and management method for funeral services, which involves the field of funeral service technology, in order to solve the problems of inaccurate equipment statistics and inconvenient communication with users during the management of funeral services. The staff verifies the use of equipment in the funeral home based on the creation task data, which greatly ensures that the equipment selected by the user can be used normally, improves the portability of online booking, and if it is verified to be unqualified, the staff will make a telephone return visit after the order is rejected, which greatly improves the communication effect between the funeral home and the user. The introduction of identity recognition function in the monitoring equipment at the crematorium can minimize the possibility of errors in the identity of the deceased and enhance the error prevention effect. The detailed statistics of each device can prevent users from being limited when making online choices, and enhance the business effect of the funeral home.

[0005] The defects of the above patent: it is unable to handle data tracking problems in complex dynamic systems and changing environments. Summary of the invention

[0006] In view of the shortcomings of the existing technology, the present invention proposes a management system and method based on data tracking. Through the data tracking strategy, it can gradually optimize parameters in the process of continuously receiving new data, improve the ability to adapt to environmental changes, and is suitable for the complex dynamic environment of the entire funeral process.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A management system based on data tracking, comprising:

[0009] Data collection module, data entry module, link recording module and data storage module;

[0010] The data collection module is used to collect basic information data of the deceased;

[0011] The data entry module is used to enter the collected basic information data of the deceased, register the identity information, cause of death, and will of the deceased, and generate a unique identification code for subsequent data tracking;

[0012] The link recording module is used to track the entire process of the deceased's service items according to the entered basic information data of the deceased, and record the processing status and responsible persons of each link;

[0013] The data storage module is used to store all funeral service data in a cloud database and use big data analysis technology to mine key data indicators of funeral services;

[0014] Also includes: data tracking module;

[0015] The data tracking module is configured with a data tracking strategy, and the data tracking module includes uploading operation information to the system in real time by scanning a unique identification code and based on the data tracking strategy, and updating and synchronizing service items.

[0016] Specifically, the basic information data of the deceased in the data collection module includes: deceased information, family contact information, and service requirements. The service requirements also include: body disposal methods, memorial service arrangements, and ashes storage requirements.

[0017] Specifically, the unique identification code in the data entry module is: an RFID tag or a QR code.

[0018] Specifically, the deceased service items in the link recording module include: body transportation, body reconstruction, memorial service arrangement, cremation or burial.

[0019] Specifically, the specific steps of the data tracking strategy in the data tracking module are:

[0020] Step S401: Set the uploaded operation information set to , ,in, Indicates the nth operation information uploaded. , Indicates the timestamp of the nth operation information uploaded. Indicates the specific content of the nth operation information uploaded;

[0021] Step S402: Establish a state transition model to predict the operation state. The specific formula is:

[0022] , ,

[0023] in, represents the predicted k-th operation state, represents the predicted covariance matrix, represents the state transition matrix of adaptive adjustment, represents the state control matrix of adaptive adjustment, represents the operation status in the predicted k-1th operation, represents the k-1th control vector, represents the noise variance, represents the transpose of the state transition matrix for adaptive adjustment, Represents the predicted covariance matrix at the k-1th operation state;

[0024] Step S403: Adaptively adjust the state transfer matrix and noise variance using the neural network model. The specific formula is:

[0025] ,

[0026] in, represents the adjusted state transfer matrix and noise variance, WL represents the neural network model, Indicates the k operation information uploaded, represents k control vectors;

[0027] Step S404: Update the state transition model. The specific formula is:

[0028] , ,

[0029] in, represents the kth operation state after update, Indicates the kth operation information uploaded. represents the Kalman gain, represents the adaptively adjusted observation matrix, represents the updated covariance matrix, represents the identity matrix;

[0030] Step S405: Utilize the online learning mechanism to update the model parameters according to the real-time data and track the uploaded operation information data in real time.

[0031] Specifically, the online learning mechanism in step S405 specifically includes: updating the parameters of the neural network online, and the specific formula is:

[0032] ,

[0033] in, represents the parameters of the neural network model at time i, represents the parameters of the neural network model at time i-1, represents the learning rate of the neural network model, Represents the loss function L relative to the neural network parameters The gradient of represents the loss function of the neural network model, Represents the kth real operation state.

[0034] Specifically, the data tracking module includes: a state prediction unit, an adaptive adjustment unit and an online learning unit;

[0035] The state prediction unit is used to predict the operation state;

[0036] The adaptive adjustment unit is used to adaptively adjust the state transfer matrix and the noise variance to update the operation state;

[0037] The online learning unit is used to update model parameters according to real-time data and track uploaded operation information data in real time.

[0038] A management method based on data tracking includes the following specific steps:

[0039] Step S1: Collect basic information data of the deceased;

[0040] Step S2: input the collected basic information data of the deceased, register the identity information, cause of death, and will of the deceased, and generate a unique identification code for subsequent data tracking;

[0041] Step S3: According to the entered basic information data of the deceased, the service items for the deceased are tracked throughout the process, and the processing status and responsible persons of each link are recorded;

[0042] Step S4: By scanning the unique identification code and using the data tracking strategy, the operation information is uploaded to the system in real time, including the timestamp and operation description, and a data interface and information exchange mechanism are established with the cemetery management department and the relevant public security departments to update and synchronize the data of each link in real time;

[0043] Step S5: Store all funeral service data in a cloud database, and use big data analysis technology to mine key data indicators of funeral services.

[0044] An electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of a management method based on data tracking when executing the computer program.

[0045] A computer-readable storage medium stores computer instructions, which, when executed, execute the steps of a management method based on data tracking.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] 1. The present invention proposes a management method based on data tracking. The family members of the deceased submit the basic information and service requirements of the deceased, and the system automatically generates a service process and notifies the family members of the specific arrangements through text messages. The staff scans the QR code or RFID tag on the body in each service link and uploads the operation information in real time. The management personnel monitor the progress of the service in real time in the background and handle emergencies. After the service is completed, the system automatically generates a quality evaluation form, and the family members fill in the feedback online. All data is stored in the cloud database, and optimization suggestions are provided through big data analysis to realize the digital management of the whole process of funeral services, reduce manual operations, and improve efficiency.

[0048] 2. The present invention proposes a management method based on data tracking. Through the data tracking strategy, it can gradually optimize parameters in the process of continuously receiving new data, improve the ability to adapt to environmental changes, and is suitable for the complex dynamic environment of the entire funeral process. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is a flow chart of a management method based on data tracking of the present invention;

[0050] Figure 2 This is a management system architecture diagram based on data tracking of the present invention;

[0051] Figure 3 This is a diagram of an electronic device according to the present invention, a management method based on data tracking. DETAILED DESCRIPTION

[0052] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, in the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate the orientation or position relationship based on the orientation or position relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "No. 1", "No. 2" and "No. 3" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. The present invention is further explained below in conjunction with specific embodiments.

[0053] Example 1

[0054] See also Figure 1 , an embodiment of the present invention provides: a management method based on data tracking, comprising the following specific steps:

[0055] Step S1: Collect basic information data of the deceased;

[0056] Step S2: input the collected basic information data of the deceased, register the identity information, cause of death, and will of the deceased, and generate a unique identification code for subsequent data tracking;

[0057] Step S3: According to the entered basic information data of the deceased, the service items for the deceased are tracked throughout the process, and the processing status and responsible persons of each link are recorded;

[0058] Step S4: The staff at each link scans the unique identification code and uses the data tracking strategy to upload the operation information to the system in real time, including the timestamp and operation description, and establishes a data interface and information exchange mechanism with the cemetery management department and the relevant public security departments to update and synchronize the data of each link in real time;

[0059] Step S5: Store all funeral service data in a cloud database, and use big data analysis technology to mine key data indicators of funeral services.

[0060] The data of the deceased in step S1 include: deceased information, family contact information, and service requirements. The service requirements also include: body disposal methods, memorial service arrangements, and ashes storage requirements.

[0061] The unique identification code in step S2 is: an RFID tag or a QR code.

[0062] The deceased services in step S3 include: body transportation, body reconstruction, memorial service arrangements, cremation or burial.

[0063] The specific steps of step S4 are:

[0064] Step S401: Set the operation information set uploaded by the funeral service agency staff as , ,in, Indicates the nth operation information uploaded by the funeral service agency staff. , Indicates the timestamp of the nth operation information uploaded by the funeral service agency staff. Indicates the specific content of the nth operation information uploaded by the staff of the funeral service organization;

[0065] Step S402: Establish a state transition model to predict the operating state of the funeral service agency staff. The specific formula is:

[0066] , ,

[0067] in, represents the predicted k-th operation state of the funeral service agency staff, represents the predicted covariance matrix, represents the state transition matrix of adaptive adjustment, represents the state control matrix of adaptive adjustment, represents the predicted operation status of the funeral service agency staff in the k-1th operation, represents the k-1th control vector, represents the noise variance, represents the transpose of the state transition matrix for adaptive adjustment, Represents the predicted covariance matrix at the k-1th operation state;

[0068] Step S403: Adaptively adjust the state transfer matrix and noise variance using the neural network model. The specific formula is:

[0069] ,

[0070] in, represents the adjusted state transfer matrix and noise variance, WL represents the neural network model, represents k operation information uploaded by the staff of funeral service agencies, represents k control vectors;

[0071] Step S404: Update the state transition model. The specific formula is:

[0072] , ,

[0073] in, represents the updated k-th operation status of the funeral service agency staff, represents the kth operation information uploaded by the staff of the funeral service agency. represents the Kalman gain, represents the adaptively adjusted observation matrix, represents the updated covariance matrix, represents the identity matrix;

[0074] Identity Matrix Only the elements on the main diagonal are 1, and all other elements are 0. When any matrix is ​​multiplied by the identity matrix, the result is the original matrix itself. In the state update formula, the identity matrix The main function of is to update the error covariance matrix to reflect the change in uncertainty of the system state after the state update. The unit matrix Ensure that updates only affect measurement-related parts without changing other parts;

[0075] Step S405: Utilize the online learning mechanism to update the model parameters according to the real-time data and track the operation information data uploaded by the funeral service agency staff in real time.

[0076] The online learning mechanism in step S405 specifically includes: updating the parameters of the neural network online, and the specific formula is:

[0077] ,

[0078] in, represents the parameters of the neural network model at time i, represents the parameters of the neural network model at time i-1, represents the learning rate of the neural network model, Represents the loss function L relative to the neural network parameters The gradient of represents the loss function of the neural network model, Represents the kth real operation status of the funeral service agency staff.

[0079] The parameters of the neural network include weights and biases, which are constantly adjusted through the training process to make the neural network better fit the data;

[0080] The gradient represents the direction and rate of change of the loss function with respect to the parameters. Here, the gradient is calculated based on the predicted state. and the real state Calculated, by gradient descent, adjusting parameters to minimize the loss function

[0081] Loss function of neural network model Used to measure the predicted state and the real state The error between them. Common loss functions include mean square error (MSE) and cross entropy loss. The smaller the loss function, the closer the prediction result is to the true value.

[0082] Neural networks can gradually optimize parameters in the process of continuously receiving new data, improving their ability to adapt to environmental changes. Online learning mechanisms are particularly suitable for dynamic environments and real-time application scenarios.

[0083] Example 2

[0084] See also Figure 2 ,Another embodiment provided by the present invention: A management system based on data tracking, comprising: a data collection module, a data entry module, a link recording module, a data tracking module and a data storage module;

[0085] The data collection module is used to collect basic information data of the deceased;

[0086] The data entry module is used by funeral service agency staff to enter the collected data of the deceased, register the identity information, cause of death, and will of the deceased, and generate a unique identification code for subsequent data tracking;

[0087] The link recording module is used to track the entire process of the deceased service project based on the entered deceased data, and record the processing status and responsible persons of each link;

[0088] The data tracking module is configured with a data tracking strategy, and the data tracking module includes uploading operation information to the system in real time by scanning a unique identification code and based on the data tracking strategy, and updating and synchronizing service items;

[0089] The data storage module is used to store all funeral service data in a cloud database, and utilize big data analysis technology to mine key data indicators of funeral services, optimize service processes, and improve service quality.

[0090] The data tracking module includes: a state prediction unit, an adaptive adjustment unit, and an online learning unit;

[0091] The state prediction unit is used to predict the operating state of the staff of the funeral service organization;

[0092] The adaptive adjustment unit is used to adaptively adjust the state transfer matrix and the noise variance to update the operating status of the staff of the funeral service agency;

[0093] The online learning unit is used to update model parameters according to real-time data and track the operation information data uploaded by the staff of the funeral service agency in real time.

[0094] Example 3

[0095] See also Figure 3 An electronic 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 a management method based on data tracking are implemented.

[0096] A computer-readable storage medium stores computer instructions, which, when executed, execute the steps of a management method based on data tracking.

[0097] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0098] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0099] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0100] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0101] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

[0102] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A management system based on data tracking, characterized in that: include: Data collection module, data entry module, link recording module and data storage module, data tracking module; The data collection module is used to collect basic information data of the deceased; The data entry module is used to enter the collected basic information data of the deceased, register the identity information, cause of death, and will of the deceased, and generate a unique identification code for subsequent data tracking; The link recording module is used to track the entire process of the deceased's service items according to the entered basic information data of the deceased, and record the processing status and responsible persons of each link; The data storage module is used to store all funeral service data in a cloud database and use big data analysis technology to mine key data indicators of funeral services; The data tracking module is configured with a data tracking strategy, and the data tracking module includes uploading operation information to the system in real time by scanning a unique identification code and based on the data tracking strategy, and updating and synchronizing service items; The specific steps of the data tracking strategy in the data tracking module are: Step S401: Set the uploaded operation information set to , ,in, Indicates the nth operation information uploaded. , Indicates the timestamp of the nth operation information uploaded. Indicates the specific content of the nth operation information uploaded; Step S402: Establish a state transition model to predict the operation state. The specific formula is: ， ， in, represents the predicted k-th operation state, represents the predicted covariance matrix, represents the state transition matrix of adaptive adjustment, represents the state control matrix of adaptive adjustment, represents the operation status in the predicted k-1th operation, represents the k-1th control vector, represents the noise variance, represents the transpose of the state transition matrix for adaptive adjustment, Represents the predicted covariance matrix at the k-1th operation state; Step S403: Adaptively adjust the state transfer matrix and noise variance using the neural network model. The specific formula is: ， in, represents the adjusted state transfer matrix and noise variance, WL represents the neural network model, Indicates the k operation information uploaded, represents k control vectors; Step S404: Update the state transition model. The specific formula is: ， ， in, represents the kth operation state after update, Indicates the kth operation information uploaded. represents the Kalman gain, represents the adaptively adjusted observation matrix, represents the updated covariance matrix, represents the identity matrix; Step S405: using an online learning mechanism to update model parameters according to real-time data and track the uploaded operation information data in real time; The online learning mechanism in step S405 specifically includes: updating the parameters of the neural network online, and the specific formula is: ， in, represents the parameters of the neural network model at time i, represents the parameters of the neural network model at time i-1, represents the learning rate of the neural network model, Represents the loss function L relative to the neural network parameters The gradient of represents the loss function of the neural network model, Represents the kth real operation state.

2. A management system based on data tracking as claimed in claim 1, characterized in that: The basic information data of the deceased in the data collection module includes: deceased information, family contact information, and service requirements. The service requirements also include: body disposal methods, memorial service arrangements, and ashes storage requirements.

3. A management system based on data tracking as claimed in claim 1, characterized in that: The unique identification code in the data entry module is: an RFID tag or a QR code.

4. A management system based on data tracking as claimed in claim 1, characterized in that: The deceased service items in the link recording module include: body transportation, body reconstruction, memorial service arrangement, cremation or burial.

5. A management system based on data tracking as claimed in claim 1, characterized in that: The data tracking module includes: a state prediction unit, an adaptive adjustment unit and an online learning unit; The state prediction unit is used to predict the operation state; The adaptive adjustment unit is used to adaptively adjust the state transfer matrix and the noise variance to update the operation state; The online learning unit is used to update model parameters according to real-time data and track uploaded operation information data in real time.

6. A management method based on data tracking, which is implemented based on a management system based on data tracking as claimed in any one of claims 1 to 5, characterized in that: The specific steps include: Step S1: Collect basic information data of the deceased; Step S2: input the collected basic information data of the deceased, register the identity information, cause of death, and will of the deceased, and generate a unique identification code for subsequent data tracking; Step S3: According to the entered basic information data of the deceased, the service items for the deceased are tracked throughout the process, and the processing status and responsible persons of each link are recorded; Step S4: using the data tracking strategy, by scanning the unique identification code and based on the data tracking strategy, uploading the operation information to the system in real time, and updating and synchronizing the service items; Step S5: Store all funeral service data in a cloud database, and use big data analysis technology to mine key data indicators of funeral services.

7. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the management method based on data tracking described in claim 6 are implemented.

8. A computer-readable storage medium, characterized in that: Computer instructions are stored thereon, and when the computer instructions are executed, the steps of the management method based on data tracking described in claim 6 are executed.

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