Real estate information collection and classification management system

Abstract

The present invention discloses a real estate information collection and classification management system, which relates to the technical field of real estate management, and includes an input module, a temporary module, a writing module, a verification module, a storage module, a main operating system, a backup operating system and a judgment module. In the present application, a main operating system and a backup operating system are provided. When data is transmitted, the data is transferred to the temporary module and the writing module, so that the input data can be directly backed up when input, and the written data is verified by the verification module and then transmitted to the storage module for storage. The judgment module determines whether it is prone to jamming. When jamming is about to occur, the backup operating system is started, the original system is stopped, and the data transmission is guaranteed by the temporary module to avoid data source transmission abnormalities caused by jamming, which leads to confusion of data entering the writing module, thereby achieving stability when storing real estate information.

Description

Technical Field

[0001] The present invention relates to the technical field of real estate management, and in particular to a real estate information collection and classification management system. Background Art

[0002] Real estate refers to tangible property that cannot be moved or will change its nature and damage its value if moved, including land and its fixtures. Real estate has the characteristics of immovability, individuality, durability, and limited quantity, which has a significant impact on people's lives. When collecting real estate information, due to the progress of the times, in order to facilitate the restoration of the actual scene of the real estate, a holographic image of the real estate is now displayed, so that the actual observation location can be selected according to the actual application scenario.

[0003] The above-mentioned holographic image not only includes several groups of pictures of real estate, but also includes various instruction commands. In order to achieve the display accuracy of the holographic image, several groups of pictures are usually added so that they can be observed in detail. In order to realize data backup and ensure the integrity of the real estate, it also includes various data and shot videos, and the data involved are stored in the corresponding storage space.

[0004] In the patent document with application number: 202211564825.7, a three-dimensional real estate management method and system based on three-dimensional modeling is disclosed, and it is specifically disclosed that a real estate management model is generated by fusion of multi-source models to realize three-in-one cadastral management, so as to achieve accurate and effective management of diversified three-dimensional real estate.

[0005] In the above technical solution, too much storage data is involved. When the data is accurately stored, the system will be stuck, and the data storage speed will be affected during the stuck process. If the system crashes after the stuck, it will cause the loss of stored data, thereby affecting the data integrity of the data storage module. When re-entering, the data in the storage module needs to be updated and verified, affecting the data transmission rate. And when the holographic image is displayed, when the data is retrieved, it will also cause the system to be stuck, affecting the data display effect. Summary of the invention

[0006] The purpose of the present invention is to provide a real estate information collection and classification management system.

[0007] The technical problem solved by the present invention is to solve the problem in the prior art that, due to the large amount of data involved in data storage, the system may become stuck during data transmission, resulting in data anomalies.

[0008] The present invention can be implemented by the following technical scheme: a real estate information collection and classification management system, including an input module, a temporary module, a writing module, a verification module, a storage module, a main operating system, a backup operating system and a judgment module;

[0009] The main operating system is used to input the real estate information through the input module, control the classified data obtained by the input module to be transmitted to the temporary module and the writing module respectively, and the main operating system transmits the data of the writing module to the verification module for verification, and then stores the data in the storage module;

[0010] The judgment module is used to obtain the data transmission speed of the main operating system, the data storage speed and the storage integrity of the storage module, and process the data of the data transmission speed of the main operating system, the data storage speed and the storage integrity of the storage module to obtain the backtracking parameter KL. The judgment module selects to use the main operating system or the backup operating system according to the backtracking parameter KL;

[0011] The backup operating system is used to terminate the use of the main operating system, trace the storage space of the storage module, obtain the empty bias value PL, and analyze the empty bias value PL. If the empty bias value PL is less than the preset bias value, it is determined to clear the current storage space and write the data in the temporary module into the storage module. If the empty bias value PL is greater than the preset bias value, it is determined to preset clear the current storage space and write the corresponding data in the temporary module into the storage module.

[0012] A further technical improvement of the present invention is that the specific judgment steps of the judgment module are:

[0013] Collect the data transmission speed of the main operating system, the data storage speed and the storage integrity of the storage module. The data transmission speed of the main operating system is set to S1, the data storage speed is S2, and the integrity of the storage module includes the storage space project occupancy ratio and the data occupancy ratio in the storage space. The storage space project occupancy ratio is set to NL and the storage space data occupancy ratio is set to QL. Determine the backtracking parameter KL based on various parameters.

[0014] The backtracking parameter KL is calculated using the formula KL = (S1 × g1 + S2 × g1) / (NL × g3 + QL × g4), where g1, g2, g3 and g4 are coefficient factors;

[0015] Determine the size of the backtracking parameter KL and the preset parameter, and choose to use the main operating system or the backup operating system.

[0016] A further technical improvement of the present invention lies in that: the selection step of the main operating system or the backup operating system includes: comparing the backtracking parameter KL with preset parameters, where the preset parameters include K1 and K2, and K1 > K2; when KL > K1, it is determined that the data transmission speed and data storage speed of the main operating system are relatively high compared to the storage space item occupancy ratio and the data occupancy ratio of the storage space, and the main operating system is controlled to continue to function, while the backup operating system is controlled to be non-started; when K1 > KL > K2, it is determined that the main operating system has a lag, and the main operating system controls the writing module to directly store the data in the storage module; when KL < K2, the main operating system stops working and the backup operating system is enabled.

[0017] A further technical improvement of the present invention lies in that: a number of storage spaces are provided in the storage module, and in each storage space, a number of item groups are provided. The item groups include pictures, videos, holographic image operation instructions, labels, types, the location of the real estate, and dimensions, and each item group is named with "real estate number + item name".

[0018] A further technical improvement of the present invention lies in that: the input module includes a ticking unit. When inputting real estate information, according to the real estate information, the corresponding items are ticked through the ticking unit, the information of each real estate is split by item classification, the corresponding item information is named and input, the storage space is selected according to the number of the real estate information, and according to the item name of the real estate information, the data included in the item is transmitted to the corresponding item group in the storage space.

[0019] A further technical improvement of the present invention lies in that: the operation steps of the backup operating system are as follows:

[0020] When receiving the command from the judgment module to start the backup operating system, the backup operating system starts while closing the main operating system and stopping the data transmission process of the main operating system;

[0021] Obtain the storage space in the storage module where data transmission is in progress, and obtain the storage space number Xn, the activated data volume TG in the storage space, the total data volume TM of the current storage space counted by the input module, the number XQ of activated items in the storage space, and the number XD of items corresponding to the current storage space counted in the input module;

[0022] The empty bias value PL is calculated using the formula PL=h1(TG / TM)+h2(XQ / XD), where h1 and h2 are weight factors. The empty bias value PL is compared with the preset bias value. If PL is less than the preset bias value, the stored data in the storage space in which data transmission is in progress is cleared, and the data in the temporary module is retrieved to determine whether the data in the corresponding storage space in the temporary module is complete. If it is complete, the data in the corresponding storage space in the temporary module is stored in the corresponding storage space. If it is incomplete, the storage space is recorded as having no data, and the corresponding module data set in the temporary module is stored in the temporary database;

[0023] If PL is greater than the preset deviation value, the data in the temporary module is retrieved, and the data in the temporary module is compared with the data in the storage space. If the data in the temporary module is inconsistent with the data in the storage space, the data at the corresponding position in the storage space is deleted, and the data in the temporary module is written to the deletion bit in the storage space;

[0024] Record the data of the deleted bit of the storage space and record it in the objection storage module.

[0025] A further technical improvement of the present invention is that the verification module verifies the transmission data in the following steps:

[0026] The verification module retrieves the data in the temporary module and the writing module, compares the data in the temporary module with the data in the writing module, and determines whether the data obtained by the writing module is consistent;

[0027] Retrieve the data from the writing module and the data from the storage space, and compare the two sets of data to determine whether the input data is accurate.

[0028] A further technical improvement of the present invention is that it also includes an information retrieval unit, which is used to retrieve a collection of real estate information according to a classification form. The classification form includes a storage space retrieval form, a project extraction form and a retrieval table generation unit. The storage space retrieval form is used to retrieve the storage space of the selected real estate information and retrieve the data of the corresponding storage space. The project extraction form is used to retrieve the same project data of different real estate information and collect the project data. The retrieval table generation unit is used to associate the data with the name to which it belongs according to the retrieved data, and retrieve the name into a table.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. In the present application, a main operating system and a backup operating system are provided. When data is transmitted, the data is transferred to a temporary module and a writing module, so that the input data can be directly backed up during input, and the written data is verified by the verification module and then transmitted to the storage module for storage, so that in this process, the main operating system can realize data verification transmission to ensure that there will be no errors in data transmission; the data transmission is judged by the judgment module to determine whether it is prone to jamming. When jamming is about to occur, the backup operating system is started, the original system is stopped, and the data transmission is guaranteed by the temporary module to avoid data source transmission abnormalities caused by jamming, which leads to confusion of data entering the writing module, thereby achieving stability in the storage of real estate information.

[0031] 2. When storing real estate information, the present application stores each piece of real estate information by dividing the storage space, and at the same time divides the storage space into several project groups, so as to split each piece of real estate information according to the number of projects, and store them in order inside the project group, so that the real estate information is placed separately, and each project group is named by the real estate number and project name, so as to facilitate the separate extraction of project information of different real estates, thereby realizing that the real estate information is easy to collect.

[0032] 3. The present application adopts the setting of backtracking parameters, so that when the backtracking parameters are compared with the preset parameters, it is determined whether it is necessary to open the backup operating system. By setting the backtracking parameters, the system can be stopped in time when it is stuck, avoiding errors caused by confusion in data transmission in the system. At the same time, when the system is stuck, the present application avoids data omissions by operating the backup operating system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0034] Figure 1 It is a system principle block diagram of the present invention. DETAILED DESCRIPTION

[0035] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0036] See also Figure 1 As shown, the real estate information collection and classification management system includes an input module, a temporary module, a writing module, a verification module, a storage module, a main operating system, a backup operating system and a judgment module;

[0037] The main operating system is used to input the real estate information through the input module, control the classified data obtained by the input module to be transmitted to the temporary module and the writing module respectively, and use the temporary module to temporarily store the classified data, wherein the temporary data stored in the temporary module is cleaned up every seven days to ensure that the data in the temporary module is cleaned up regularly to avoid jamming caused by too much data. The main operating system transmits the data of the writing module to the verification module for verification, and then stores the data in the storage module. In this process, the verification module is used to verify the data to avoid data changes during the transmission process and ensure the accuracy of data transmission;

[0038] The judgment module is used to obtain the data transmission speed of the main operating system, the data storage speed and the storage integrity of the storage module, and processes the data of the data transmission speed of the main operating system, the data storage speed and the storage integrity of the storage module to obtain the backtracking parameter KL. The judgment module selects to use the main operating system or the backup operating system according to the backtracking parameter KL, that is, the transmission speed in the storage process of the real estate information is judged by the existence of the backtracking parameter, that is, whether the system is stuck, so as to control the coordinated transmission of the main operating system or the backup operating system, avoid data abnormality problems caused during transmission, and ensure the security of data transmission;

[0039] The backup operating system is used to operate through the backup operating system when the system is stuck to ensure the accuracy of data transmission. That is, when the backup operating system is started, it terminates the use of the main operating system, traces the storage space of the storage module, obtains the empty bias value PL, and analyzes the empty bias value PL. If the empty bias value PL is less than the preset bias value, it is determined to clear the current storage space, so that when there is less data filled in the storage space, deleting the data in the storage space does not affect the efficiency of the next transmission. Therefore, the data in the current storage space is deleted, and the data in the temporary module is written into the storage module. If the empty bias value PL is greater than the preset bias value, it is determined to preset the current storage space and write the corresponding data in the temporary module into the storage module. That is, there is more data in the current storage space, and direct deletion affects the next re-input. Therefore, the data in the storage space is analyzed and processed to try to improve it, and the data in the current storage space is calculated, so that when the main operating system is started, the data in the storage space can be improved to ensure the efficiency of data transmission.

[0040] The judgment module is used to obtain the backtracking parameter KL, that is, to judge the data transmission status of the main operating system. The specific judgment steps of the judgment module are:

[0041] When the main operating system is starting up, by collecting data related to the main operating system and analyzing and processing the data of the main operating system, the data processing status of the current main operating system is obtained, that is, the data transmission speed, data storage speed, and storage integrity of the storage module of the main operating system are collected. The data transmission speed of the main operating system is set as S1, the data storage speed is S2, and the storage integrity of the storage module includes the proportion of storage space items occupied and the proportion of data occupied in the storage space. The proportion of storage space items occupied is set as NL, and the proportion of data occupied in the storage space is set as QL; the backtracking parameter KL is judged according to each parameter; that is, the backtracking parameter KL is used to judge the data transmission status of the main operating system.

[0042] The backtracking parameter KL is calculated using the formula KL = (S1×g1 + S2×g1) / (NL×g3 + QL×g4), where g1, g2, g3, and g4 are all coefficient factors; the magnitudes of the backtracking parameter KL and the preset parameters are judged to select whether to use the main operating system or the backup operating system.

[0043] Specifically, the selection steps of the main operating system or the backup operating system include: comparing the backtracking parameter KL with the preset parameters. The preset parameters include K1 and K2, and K1 > K2; when KL > K1, it is determined that the data transmission speed and data storage speed of the main operating system are relatively high compared to the proportion of storage space items occupied and the proportion of data occupied in the storage space, and the main operating system is controlled to continue to function, and the backup operating system is controlled not to start; when K1 > KL > K2, it is determined that the main operating system is stuck. The main operating system controls the writing module to directly store the data in the storage module. In this process, the verification module is saved, and through the saving steps, the data input of the main operating system is accelerated; when KL < K2, the main operating system stops working and the backup operating system is enabled.

[0044] Furthermore, several storage spaces are provided in the storage module. In each storage space, several item groups are set. The item groups include pictures, videos, holographic image operation instructions, labels, types, the location of the real estate, and dimensions. Each item group is named with "real estate number + item name". That is, if the real estate number is 001, the pictures it includes are named "001 + picture" to classify and store the data of each item group. When retrieving different real estate information, by obtaining the keyword pictures, a set of several groups of pictures is obtained. Among them, the above data is sorted according to the order and size of the real estate numbers to obtain neatly arranged real estate information.

[0045] The input module includes a checking unit for checking the data items to be input before data is input, that is, when inputting real estate information, the corresponding items are checked through the checking unit according to the real estate information, the information of each real estate is split by project classification, the corresponding project information is named and input, the storage space is selected according to the number of the real estate information, and the data contained in the project is transferred to the corresponding project group in the storage space according to the project name of the real estate information, thereby achieving preliminary input of the data type before inputting the input module, and achieving preliminary judgment on the memory size occupied by the data and the input speed, so as to obtain the input time of the data.

[0046] Furthermore, in order to protect the data when the main operating system is stuck, the operation steps of the backup operating system are as follows: when the judgment module receives the command to start the backup operating system, the backup operating system starts and shuts down the main operating system at the same time, and stops the data transmission process of the main operating system;

[0047] Then, in order to calculate the data transmission amount in the current storage space during data transmission, the storage space in which data transmission is being performed in the storage module is obtained, and the number Xn of the storage space, the amount of activated data in the storage space TG, the total amount of data TM of the current storage space counted by the input module, the number XQ of items in the storage space that have been activated, and the number XD of items corresponding to the current storage space counted in the input module are obtained;

[0048] The empty bias value PL is calculated using the formula PL=h1(TG / TM)+h2(XQ / XD), where h1 and h2 are weight factors. The empty bias value PL is compared with the preset bias value. If PL is less than the preset bias value, the stored data in the storage space in which data transmission is in progress is cleared, and the data in the temporary module is retrieved to determine whether the data in the corresponding storage space in the temporary module is complete. If it is complete, the data in the corresponding storage space in the temporary module is stored in the corresponding storage space. If it is incomplete, the storage space is recorded as having no data, and the corresponding module data set in the temporary module is stored in the temporary database;

[0049] If PL is greater than the preset deviation, the data in the temporary module is retrieved, and the data in the temporary module is compared with the data in the storage space. When the data in the temporary module and the data in the storage space are inconsistent, the data at the corresponding position in the storage space is deleted, and the data in the temporary module is written to the deletion bit in the storage space; the data in the deletion bit of the storage space is recorded and recorded in the objection storage module.

[0050] In order to ensure the accuracy of the input data, the verification module verifies the transmitted data in the following steps: first, the verification module retrieves the data in the temporary module and the writing module, compares the data in the temporary module with the data in the writing module, determines whether the data obtained by the writing module is consistent, and ensures that the data entering the writing module is accurate. Then, the data in the writing module and the data in the storage space are retrieved, and the two sets of data are compared to determine whether the input data is accurate, that is, to determine the data integrity in the storage space.

[0051] As a further embodiment of the present application, in order to facilitate the retrieval of classified data, the present application also includes an information retrieval unit for retrieving a collection of real estate information according to a classification form. The classification form includes a storage space retrieval form, a project extraction form and a retrieval table generation unit. The storage space retrieval form is used to retrieve the storage space of the selected real estate information and retrieve the data of the corresponding storage space. The project extraction form is used to retrieve the same project data of different real estate information and collect the project data. The retrieval table generation unit is used to associate the data with the name to which it belongs according to the retrieved data, and retrieve the name into a table.

[0052] Furthermore, when the backtracking parameter is less than K1, the verification module is omitted and the data input during this process is recorded. When the main operating system is restarted or the backtracking parameter is greater than K1, the user terminal determines whether the input data needs to be re-verified.

[0053] When the present invention is used, the data transmission speed of the main operating system is supervised by the backtracking parameter KL, that is, the main operating system first needs to obtain the real estate information data, check the number of items according to the data it needs to input, check the corresponding number of items, input the real estate information data, input it into the input module, and control the input module to transmit the input data to the temporary module and the writing module respectively, wherein the temporary module temporarily stores the data and cleans it regularly, and the writing module is used to transmit the data to the verification module, and after the verification module verifies the stored data, the data is stored in the storage space of the storage module, and the data is classified and stored according to the project group number of the data;

[0054] When the backtracking parameter KL is greater than K1, the data transmission speed is faster, and the main operating system is kept in normal use. If KL is between K1 and K2, the main operating system is kept in normal use, and the verification module is saved at the same time. The data that has not been verified by the verification module is registered. When the backtracking parameter KL is greater than K1, it is selected whether to verify the registered data. If the backtracking parameter KL is less than K2, the main operating system is stopped, the backup operating system is enabled, and the data of the storage module is processed using the backup operating system;

[0055] Through the existence of the empty bias value PL, the data in the current storage space and the corresponding storage speed are judged, and their relative values ​​are judged. According to the size of the relative value, the method of processing the data in the storage space is judged, that is, if PL is less than the preset bias value, the data in the current storage space is cleared, and the data in the temporary module is rewritten to the storage module to avoid data loss caused by being stuck in the verification module; when PL is greater than the preset bias value, the data stored in the current storage space is relatively large. By partially clearing the data in the storage space and re-entering it, the accuracy of the data in the storage space is guaranteed.

[0056] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. Real estate information collection and classification management system, Features: It includes an input module, a temporary module, a writing module, a verification module, a storage module, a main operating system, a backup operating system and a judgment module; The main operating system is used to input the real estate information through the input module, control the classified data obtained by the input module to be transmitted to the temporary module and the writing module respectively, and the main operating system transmits the data of the writing module to the verification module for verification, and then stores the data in the storage module; The judgment module is used to obtain the data transmission speed of the main operating system, the data storage speed and the storage integrity of the storage module, and process the data of the data transmission speed of the main operating system, the data storage speed and the storage integrity of the storage module to obtain the backtracking parameter KL. The judgment module selects to use the main operating system or the backup operating system according to the backtracking parameter KL; The backup operating system is used to terminate the use of the main operating system, trace the storage space of the storage module, obtain the empty bias value PL, analyze the empty bias value PL, if the empty bias value PL is less than the preset bias value, clear the storage data in the storage space where data transmission is in progress, store the data corresponding to the storage space where data transmission is in progress in the temporary module into the corresponding storage space or into a temporary database, if the empty bias value PL is greater than the preset bias value, determine to delete the data at the corresponding position in the storage space; The steps of backing up the operating system are as follows: When receiving the command from the judgment module to start the backup operating system, the backup operating system is started and the main operating system is shut down at the same time, and the data transmission process of the main operating system is stopped; Obtain the storage space in the storage module where data is being transmitted, obtain the number Xn of the storage space, the amount of data TG in the storage space that has been activated, the total amount of data TM in the current storage space counted by the input module, the number of items XQ in the storage space that have been activated, and the number of items XD corresponding to the current storage space counted in the input module; The empty bias value PL is calculated using the formula PL=h1(TG / TM)+h2(XQ / XD), where h1 and h2 are weight factors. The empty bias value PL is compared with the preset bias value. If PL is less than the preset bias value, the stored data in the storage space where data transmission is in progress is cleared, and the data in the temporary module is retrieved to determine whether the data in the storage space corresponding to the storage space where data transmission is in progress in the temporary module is complete. If it is complete, the data in the storage space corresponding to the storage space where data transmission is in progress in the temporary module is stored in the corresponding storage space. If it is incomplete, the storage space is recorded as having no data, and the corresponding transmission data set in the temporary module is stored in the temporary database. If PL is greater than the preset deviation, the data in the temporary module is retrieved, and the data in the temporary module is compared with the data in the storage space. When the data in the temporary module and the data in the storage space are inconsistent, the data at the corresponding position in the storage space is deleted, and the data in the temporary module is written to the deletion bit in the storage space, and the data in the deletion bit of the storage space is recorded and recorded in the objection storage module.

2. The real estate information collection, classification and management system according to claim 1, characterized in that, the specific judgment steps of the judgment module are as follows: Collect the data transmission speed of the main operating system, the data storage speed, and the storage integrity of the storage module. The data transmission speed of the main operating system is set as S1, the data storage speed is S2, and the storage integrity of the storage module includes the occupancy ratio of storage space items and the occupancy ratio of data in the storage space. Set the occupancy ratio of storage space items as NL and the occupancy ratio of data in the storage space as QL; judge the backtracking parameter KL according to each parameter; Calculate the backtracking parameter KL using the formula KL = (S1×g1 + S2×g1) / (NL×g3 + QL×g4), where g1, g2, g3, and g4 are all coefficient factors; Judge the size of the backtracking parameter KL and the preset parameter, and select to use the main operating system or the backup operating system.

3. The real estate information collection, classification and management system according to claim 2, characterized in that, the selection steps of the main operating system or the backup operating system include: comparing the backtracking parameter KL with the preset parameters. The preset parameters include K1 and K2, and K1 > K2; when KL > K1, it is determined that the data transmission speed and data storage speed of the main operating system are relatively high compared to the occupancy ratio of storage space items and the occupancy ratio of data in the storage space, control the main operating system to act continuously, and control the backup operating system not to start; when K1 > KL > K2, it is determined that the main operating system is stuck, and the main operating system controls the writing module to directly store the data in the storage module; when KL < K2, the main operating system stops working and the backup operating system is enabled.

4. The real estate information collection, classification and management system according to claim 1, characterized in that, several storage spaces are opened in the storage module. In each storage space, several project groups are set. The project groups include pictures, videos, holographic image operation instructions, labels, types, the location of the real estate, and dimensions. Each project group is named with "real estate number + project name".

5. The real estate information collection, classification and management system according to claim 1, characterized in that, the input module includes a ticking unit. When inputting real estate information, according to the real estate information, tick the corresponding items through the ticking unit, split the information of each real estate by project classification, name and input the corresponding project information, select the storage space according to the number of the real estate information, and name the project according to the real estate information, and send the data included in the project to the corresponding project group in the storage space.

6. The real estate information collection, classification and management system according to claim 1, characterized in that, the verification steps of the verification module for the transmitted data are as follows: The verification module retrieves the data in the temporary module and the writing module, compares the data in the temporary module with the data in the writing module, and judges whether the data obtained by the writing module is consistent; Retrieve the data from the writing module and the data from the storage space, and compare the two sets of data to determine whether the input data is accurate.

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