Process and method for uniform maintenance for conveyance apparatuses

1 . A non-transitory computer readable medium storing a program with instructions providing a uniform conveyance maintenance system comprising:

a conveyance transport apparatus having one or more sensors configured to generate sensor data reflecting operating conditions of the conveyance transport apparatus;

a computing system configured for communication between one or more computing devices, a server, and the conveyance transport apparatus via a network;

a database on the server, in communication with the computing system, the database configured to store maintenance input data of the conveyance transport apparatus and track the maintenance input data in real time;

a translation algorithm stored on the server, the translation algorithm configured to automatically translate conditions in a format of proprietary software of the conveyance transport apparatus into a standardized format for the database, wherein the translation algorithm converts proprietary maintenance data that is incompatible between different service providers into the standardized format that enables computational enforcement operations on the conveyance transport apparatus;

one or more non-transitory computer readable program storage media storing instructions to instruct one or more processors, in communication with the computing system, wherein instructions are executed by the computing system to perform:

receiving, from the one or more sensors on the conveyance transport apparatus, sensor data and translating the sensor data into code suitable for the database;

identifying a conveyance type of the conveyance transport apparatus corresponding to conveyance identification from a list of conveyance types in the database;

receiving the maintenance input data of the conveyance transport apparatus in a proprietary format from a service provider maintaining the conveyance transport apparatus;

translating, by the translation algorithm, the maintenance input data from the proprietary format to the standardized format for the database;

categorizing the conveyance identification based on the type of conveyance apparatus, manufacturer, maintenance worker, and jurisdiction;

retrieving one or more archived parameters of the conveyance type from the database from one or more second conveyance transport apparatuses;

comparing, using the standardized format, the translated maintenance input data against jurisdictional compliance requirements stored in the database to generate a compliance determination;

generating one or more predictive maintenance compliance data by processing, via a trained neural network comprising an input layer, one or more internal layers, and an output layer, the input conveyance type, the maintenance input data, the sensor data, and the one or more archived parameters of the input conveyance type, wherein the one or more internal layers create a cluster based on correlations between overlapping repairs and reasons for maintenance from the one or more second conveyance transport apparatuses, and the output layer generates a predictive analysis of future maintenance issues for the conveyance transport apparatus based on the cluster;

in response to the compliance determination indicating a non-compliance condition, automatically transmitting, via the network, an enforcement signal from the server to the conveyance transport apparatus, wherein the enforcement signal renders the conveyance transport apparatus inoperative until one or more remediation criteria stored in the database are satisfied; and

upon satisfaction of the one or more remediation criteria, automatically transmitting, via the network, a restoration signal from the server to the conveyance transport apparatus to render the conveyance transport apparatus operative.

2 . The system of claim 1 , wherein instructions are executed by the computing system are to further perform:

generating a calendar interface; and

populating the calendar interface with predicted future compliance issues or problems in response to the one or more predictive maintenance compliance data.

3 . The system of claim 2 , wherein instructions are executed by the computing system are to further perform:

calculating future maintenance appointments in response to the predicted future compliance issues.

4 . The system of claim 1 , wherein the trained neural network receives at the input layer previous overlapping repairs and reasons for maintenance together with conveyance apparatus type, manufacturer, jurisdiction, and maintenance worker data, the one or more internal layers creating the cluster when a predetermined amount of repairs or reasons for maintenance is correlated with another quality, thereby generating a variable, and the output layer uses the variable to generate a response for determination of methods to prevent future maintenance issues by providing a predictive analysis of problems the conveyance transport apparatus is predicted to encounter.

5 . The system of claim 1 , wherein the GPS is used to identify a user as being physically within a predetermined distance from a location of the conveyance transport apparatus.

6 . The system according to claim 5 , wherein the enforcement signal is based on at least one violation citation, a particular geographic area of the computing device of the user, and a current time and date for the user.

7 . The system of claim 1 , wherein the maintenance input data is received from one or more sources selected from the group comprising of one or more union computing devices, insurance computing devices, technician computing devices, maintenance company computing devices, building owner computing devices, and government computing devices.

8 . The system of claim 7 , wherein the database stores A17.1 maintenance control criteria and applicable rules of local, state, and federal law.

9 . The system of claim 1 , wherein instructions are executed by the computing system are to further perform:

generating a search result having the one or more second conveyance transport apparatuses along with corresponding maintenance issues and solutions.

10 . The system of claim 9 , wherein instructions are executed by the computing system are to further perform:

ordering the search results corresponding to closest matches using a peeling algorithm, wherein the peeling algorithm defines a rule for selecting nodes or edges to remove from a graph based on degree or centrality measures, iteratively removes nodes or edges meeting the selection criteria, and continues until a stopping condition is met, wherein conveyance transport apparatuses that are most similar are presented first in the search results.

11 . The system of claim 1 , wherein each conveyance transport apparatus is assigned a unique alphanumeric identifier stored in the database, and wherein the jurisdictional compliance requirements stored in the database comprise different compliance forms required by different jurisdictions, and wherein the compliance determination is populated in a compliance form corresponding to the jurisdiction in which the conveyance transport apparatus identified by the unique alphanumeric identifier is located.