CN113780798A - Key index display system based on cloud computing - Google Patents
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Abstract
The invention discloses a key index display system based on cloud computing, which comprises a data collection unit, an object synchronization unit, a data fusion unit, a processor, a data hiding unit, a rule base, a user login unit, a user unit and a display unit, wherein the data collection unit is used for collecting data; the data gathering unit is used for collecting corresponding basic data; the invention is used for collecting corresponding basic data through the data collecting unit; then, the object synchronization unit is used for transmitting the data reading authority and the user login key to the data fusion unit, and fusion processing is carried out on the basic data by means of the object synchronization unit to obtain the user login key and a readable data group Ki corresponding to the user login key; and then, the user login key and the corresponding readable data group are subjected to hiding processing by means of the data hiding unit and the rule base to obtain a marked data group, and the data preprocessing is completed.
Description
Technical Field
The invention belongs to the field of index display, relates to a key index analysis technology, and particularly relates to a cloud computing-based key index display system.
Background
Patent publication No. CN107229671A discloses a balance index display model in motor function analysis based on big data: the method comprises the steps of testing the overall stability index of each player of the whole team by using a Biodex isokinetic muscle force evaluation training system, calculating a standard value M and a standard deviation SD of the overall stability index of the whole team, calculating a balance energy bar value according to a formula, and displaying different colors according to a value range. Through establishing the balanced index show model among the motion function analysis based on big data, directly turn into the form that has the energy strip score of actual reference meaning to the match with balanced index, and show through different colours, look over more directly, let sportsman self also can better location to the position of the balancing ability of oneself in whole team, thereby arouse sportsman's winning psychology, more actively train to the short board index, be favorable to promoting the whole strength of team.
However, for enterprises, how to show correct indexes to corresponding personnel can also play a role in encrypting to prevent divulgence, which is a difficult problem.
Disclosure of Invention
The invention aims to provide a key index display system based on cloud computing.
The purpose of the invention can be realized by the following technical scheme:
the key index display system based on cloud computing comprises a data collection unit, an object synchronization unit, a data fusion unit, a processor, a data hiding unit, a rule base, a user login unit, a user unit and a display unit;
the data gathering unit is used for collecting corresponding basic data; the data collecting unit is used for transmitting basic data to the data fusion unit, data reading authorities and user login keys corresponding to all users in the enterprise are synchronized in the object synchronizing unit, the data reading authorities are data types which can be checked by the users, and the user login keys are passwords of user accounts; the object synchronization unit is used for transmitting the data reading authority and the user login key to the data fusion unit, the data fusion unit receives the data reading authority and the user login key transmitted by the object synchronization unit and performs fusion processing on basic data to obtain the user login key and a readable data group Ki corresponding to the user login key;
the data fusion unit is used for transmitting the user login key and the readable data group corresponding to the user login key to the processor, and the processor receives the user login key and the readable data group corresponding to the user login key transmitted by the data fusion unit and transmits the user login key and the readable data group to the data hiding unit;
the data hiding unit is used for carrying out hiding processing on the user login key and the readable data group corresponding to the user login key by combining the rule base to obtain a marked data group;
the data hiding unit is used for transmitting the marked data group to the processor, the processor receives the marked data group transmitted by the data hiding unit, and the processor is in communication connection with the user unit;
the user login unit is used for allowing an administrator to log in terminal equipment arranged at different positions, automatically acquiring a user login key of a corresponding user after logging in, and transmitting the user login key to the user unit;
the user unit is further used for acquiring a marked data group in the storage device, and the user unit is used for performing data matching on a user login key by combining the marked data group to obtain a data group after the user logs in and a sequencing value;
and the user unit is used for transmitting the data after the kernel to the display unit according to the sequence of the sequencing values for sequential display.
Further, the basic data includes weekly important work plans, daily summaries, weekly summaries, training plans, monthly performances.
Further, the fusion processing specifically comprises the following steps:
the method comprises the following steps: acquiring corresponding data reading permission and all basic data;
step two: simultaneously acquiring a user login key corresponding to the data reading authority;
step three: associating the user login key according to the basic data; when only one piece of basic data corresponding to the user login key exists, marking the corresponding basic data as readable data of the user login key; otherwise, marking the corresponding basic data as a readable data group of the user login key, wherein the readable data group is marked as Ki, i is 1, n, and Ki is specifically expressed as the ith group of retrievable data Ki of the corresponding user login key;
step four: the user login key and its corresponding readable data set are obtained, and when there is only one piece of readable basic data, i is 1, and is denoted as K1.
Further, the specific steps of the hiding treatment are as follows:
s1: acquiring any user login key;
s2: then, a readable data group Ki of a corresponding user login key is obtained;
s3: when i is 1, automatically acquiring corresponding readable data K1;
s4: splitting the readable data into a plurality of pieces of component data;
s5: numbering the component data according to a sequence from front to back to obtain a sequence number, and placing the sequence number at the tail end of the component data;
s6: meanwhile, a user login key is equally divided into two sections of split keys, if the key cannot be equally divided, the character of the former section of split key is one more bit than the character of the latter section of split key; obtaining a front split key and a rear split key;
s7: arranging according to the sequence of the component data, placing a front splitting key at the forefront of the first component data, then placing a rear splitting key at the forefront of the second component data, then placing the front splitting key at the forefront of the third component data, and sequentially alternating to finish marking all the component data to obtain marked data; adding the same character 1 to the tail end of all the marked data;
s8: when i is larger than 1, automatically acquiring all corresponding readable data Ki;
s9: marking the data according to the same principle of the steps S4-S8, marking the i value at the rear end of the sequence number, finishing marking all the component data, and obtaining marked data;
s10: acquiring any next user login key, and repeating the steps S2-S10 until label data which are collated by the readable data corresponding to all the user login keys are obtained;
s11: and randomly combining all the marking data to obtain a marking data group.
Further, the specific splitting manner for splitting the readable data in step S4 is as follows:
acquiring the number of characters of a user login key, and marking the number of characters as a segment score;
marking a segment of data separated by any punctuation marks in the readable data as a split sentence, wherein the split sentence comprises the corresponding separated punctuation marks;
marking split sentences with one segment score at intervals as component data, and automatically counting the rest split sentences as the component data if the split sentences with the corresponding segment scores are not split at last;
several sections of component data are obtained.
Further, the specific way of the communication connection between the processor and the subscriber unit is as follows:
the user unit is contacted by means of a storage device, which is a hard disk.
Further, the specific process of data matching is as follows:
SS 1: acquiring a marking data set and a user login key;
SS 2: extracting matched marking data in all related marking data groups according to a user login key, wherein the specific matching is verified by two factors:
whether the number of the split sentences of the marked data is consistent with the number of characters of the user login key or not is judged;
whether the data at the forefront end of the marking data is completely matched with the first half or the second half of the user login key or not is judged;
when the two conditions are met simultaneously, the matching is successful; if the number of the split sentences with only one marked data is inconsistent with the character number of the user login key, the data at the forefront of the marked data is completely consistent with the first half or the second half of the user login key; the matching is successful;
SS 3: acquiring all matched marking data; marking the same last character of the marked data as corresponding translation data;
SS 4: arranging the translation data in sequence according to the sequence of the penultimate character to obtain fused data after kernel;
SS 5: reducing the nucleated data of all the marked data according to the principle of the step SS3-SS4 to obtain a nucleated data group consisting of a plurality of nucleated data;
SS 6: judging the data type of the data according to the name of the data after the nuclear data, intelligently judging which data belongs to week key work plan, day summary, week summary, training plan, monthly performance and the like according to the data type, and sequencing the data after the nuclear data group from large to small according to the query times of the user in the last month; obtaining the data after the kernel and the corresponding sorting value; the rank values are marked sequentially from 1 onwards.
The invention has the beneficial effects that:
the invention is used for collecting corresponding basic data through the data collecting unit; then, the object synchronization unit is used for transmitting the data reading authority and the user login key to the data fusion unit, and fusion processing is carried out on the basic data by means of the object synchronization unit to obtain the user login key and a readable data group Ki corresponding to the user login key; then, the user login key and the corresponding readable data set are subjected to hiding processing by means of the data hiding unit and the rule base, a marked data set is obtained, and data preprocessing is completed;
then, a user login unit is used for an administrator to log in terminal equipment arranged at different positions, a user login key of a corresponding user can be automatically obtained after logging in, and finally the user unit is used for carrying out data matching on the user login key in combination with a marked data group to obtain a checked data group and a sequencing value; and sequentially showing the data to the user according to the importance of different data or the habit of the user.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, the cloud computing-based key index presentation system includes a data collection unit, an object synchronization unit, a data fusion unit, a processor, a data hiding unit, a rule base, a user login unit, a user unit, and a display unit;
the data collection unit is used for collecting corresponding basic data, and the basic data are daily construction data such as weekly key work plans, daily summaries, weekly summaries, training plans and monthly performance; the data collecting unit is used for transmitting basic data to the data fusion unit, data reading authorities and user login keys corresponding to all users in the enterprise are synchronized in the object synchronizing unit, the data reading authorities are data types which can be checked by the users, and the user login keys are passwords of user accounts; the object synchronization unit is used for transmitting the data reading authority and the user login key to the data fusion unit, the data fusion unit receives the data reading authority and the user login key transmitted by the object synchronization unit and performs fusion processing on basic data, and the fusion processing specifically comprises the following steps:
the method comprises the following steps: acquiring corresponding data reading permission and all basic data;
step two: simultaneously acquiring a user login key corresponding to the data reading authority;
step three: associating the user login key according to the basic data; when only one piece of basic data corresponding to the user login key exists, marking the corresponding basic data as readable data of the user login key; otherwise, marking the corresponding basic data as a readable data group of the user login key, wherein the readable data group is marked as Ki, i is 1, n, and Ki is specifically expressed as the ith group of retrievable data Ki of the corresponding user login key;
step four: obtaining a user login key and a corresponding readable data set, wherein when only one piece of readable basic data is available, i is 1 and is denoted as K1;
the data fusion unit is used for transmitting the user login key and the readable data group corresponding to the user login key to the processor, and the processor receives the user login key and the readable data group corresponding to the user login key transmitted by the data fusion unit and transmits the user login key and the readable data group to the data hiding unit;
the rule base stores corresponding secret processing rules, the data secret unit is used for carrying out secret processing on the user login key and the corresponding readable data group by combining the rule base, and the secret processing specifically comprises the following steps:
s1: acquiring any user login key;
s2: then, a readable data group Ki of a corresponding user login key is obtained;
s3: when i is 1, automatically acquiring corresponding readable data K1;
s4: the readable data is split into a plurality of sections of component data, and the specific splitting mode is as follows:
acquiring the number of characters of a user login key, and marking the number of characters as a segment score;
marking a segment of data separated by any punctuation marks in the readable data as a split sentence, wherein the split sentence comprises the corresponding separated punctuation marks;
marking split sentences with one segment score at intervals as component data, and automatically counting the rest split sentences as the component data if the split sentences with the corresponding segment scores are not split at last;
obtaining a plurality of sections of component data;
s5: numbering the component data according to a sequence from front to back to obtain a sequence number, and placing the sequence number at the tail end of the component data;
s6: meanwhile, a user login key is equally divided into two sections of split keys, if the key cannot be equally divided, the character of the former section of split key is one more bit than the character of the latter section of split key; obtaining a front split key and a rear split key;
s7: arranging according to the sequence of the component data, placing a front splitting key at the forefront of the first component data, then placing a rear splitting key at the forefront of the second component data, then placing the front splitting key at the forefront of the third component data, and sequentially alternating to finish marking all the component data to obtain marked data; adding the same character 1 to the tail end of all the marked data;
s8: when i is larger than 1, automatically acquiring all corresponding readable data Ki;
s9: marking the data according to the same principle of the steps S4-S8, marking the i value at the rear end of the sequence number, finishing marking all the component data, and obtaining marked data;
s10: acquiring any next user login key, and repeating the steps S2-S10 until label data which are collated by the readable data corresponding to all the user login keys are obtained;
s11: randomly combining all the marked data to obtain a marked data group;
the data hiding unit is used for transmitting the marked data group to the processor, the processor receives the marked data group transmitted by the data hiding unit and forms a connection with the user unit by virtue of a storage device, and the storage device is a hard disk or other high-capacity mobile storage devices and can only transmit the marked data group through a private channel; different modes can be adopted in view of the privacy degrees of different files, and if the privacy degree is not high, the files can be directly transmitted by virtue of a network, so that the privacy degree can be automatically judged by a worker;
the user login unit is used for allowing an administrator to log in terminal equipment arranged at different positions, automatically acquiring a user login key of a corresponding user after logging in, and transmitting the user login key to the user unit;
the user unit is further used for acquiring a marked data group in the storage device, the user unit is used for performing data matching on the user login key by combining the marked data group, and the specific data matching process comprises the following steps:
SS 1: acquiring a marking data set and a user login key;
SS 2: extracting matched marking data in all related marking data groups according to a user login key, wherein the specific matching is verified by two factors:
whether the number of the split sentences of the marked data is consistent with the number of characters of the user login key or not is judged;
whether the data at the forefront end of the marking data is completely matched with the first half or the second half of the user login key or not is judged;
when the two conditions are met simultaneously, the matching is successful; if the number of the split sentences with only one marked data is inconsistent with the character number of the user login key, the data at the forefront of the marked data is completely consistent with the first half or the second half of the user login key; the matching is successful;
SS 3: acquiring all matched marking data; marking the same last character of the marked data as corresponding translation data;
SS 4: arranging the translation data in sequence according to the sequence of the penultimate character to obtain fused data after kernel;
SS 5: reducing the nucleated data of all the marked data according to the principle of the step SS3-SS4 to obtain a nucleated data group consisting of a plurality of nucleated data;
SS 6: judging the data type of the data according to the name of the data after the nuclear data, intelligently judging which data belongs to week key work plan, day summary, week summary, training plan, monthly performance and the like according to the data type, and sequencing the data after the nuclear data group from large to small according to the query times of the user in the last month; obtaining the data after the kernel and the corresponding sorting value; the sequencing values are marked from 1 to the back in sequence;
and the user unit is used for transmitting the data after the kernel to the display unit in sequence for sequential display.
When the method is implemented, the password of each user is required to be inconsistent, and the first half and the second half are preferably not the same as other people;
the key index display system based on cloud computing is used for collecting corresponding basic data through a data collection unit; then, the object synchronization unit is used for transmitting the data reading authority and the user login key to the data fusion unit, and fusion processing is carried out on the basic data by means of the object synchronization unit to obtain the user login key and a readable data group Ki corresponding to the user login key; then, the user login key and the corresponding readable data set are subjected to hiding processing by means of the data hiding unit and the rule base, a marked data set is obtained, and data preprocessing is completed;
then, a user login unit is used for an administrator to log in terminal equipment arranged at different positions, a user login key of a corresponding user can be automatically obtained after logging in, and finally the user unit is used for carrying out data matching on the user login key in combination with a marked data group to obtain a checked data group and a sequencing value; and sequentially showing the data to the user according to the importance of different data or the habit of the user.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (8)
1. Key index display system based on cloud calculates, its characterized in that includes:
a data collection unit: the data fusion unit is used for collecting corresponding basic data and transmitting the basic data to the data fusion unit;
an object synchronization unit: data reading authorities and user login keys corresponding to all users in the enterprise are synchronized in the enterprise;
the data fusion unit fuses basic data to obtain a user login key and a corresponding readable data group Ki, and the user login key and the readable data group Ki are transmitted to the data hiding unit through the processor;
the data hiding unit is used for hiding the user login key and the corresponding readable data group by combining with the rule base to obtain a marked data group;
a user login unit: it is used for automatically obtaining a user login key and transmitting the user login key to a user unit;
and the user unit performs data matching on the user login key by combining the marked data group to obtain a data group after the core and a sequencing value, and transmits the data after the core to the display unit for sequential display according to the sequence of the sequencing value.
2. The cloud computing-based key indicator presentation system of claim 1, wherein the base data comprises weekly focus work plans, daily summaries, weekly summaries, training plans, monthly performance.
3. The cloud-computing-based key index presentation system as claimed in claim 1, wherein the data reading authority is specifically a data type that a user can view.
4. The cloud computing-based key index presentation system according to claim 1, wherein the fusion processing specifically comprises the steps of:
the method comprises the following steps: acquiring corresponding data reading permission and all basic data;
step two: simultaneously acquiring a user login key corresponding to the data reading authority;
step three: associating the user login key according to the basic data; when only one piece of basic data corresponding to the user login key exists, marking the corresponding basic data as readable data of the user login key; otherwise, marking the corresponding basic data as a readable data group of the user login key, wherein the readable data group is marked as Ki, i is 1, n, and Ki is specifically expressed as the ith group of retrievable data Ki of the corresponding user login key;
step four: the user login key and its corresponding readable data set are obtained, and when there is only one piece of readable basic data, i is 1, and is denoted as K1.
5. The cloud-computing-based key index presentation system according to claim 1, wherein corresponding hiding processing rules are stored in the rule base, the data hiding unit is configured to transmit the tagged data group to the processor, the processor receives the tagged data group transmitted by the data hiding unit, and the processor is in communication connection with the user unit; the specific steps of the hiding treatment are as follows:
s1: acquiring any user login key;
s2: then, a readable data group Ki of a corresponding user login key is obtained;
s3: when i is 1, automatically acquiring corresponding readable data K1;
s4: splitting the readable data into a plurality of pieces of component data;
s5: numbering the component data according to a sequence from front to back to obtain a sequence number, and placing the sequence number at the tail end of the component data;
s6: meanwhile, a user login key is equally divided into two sections of split keys, if the key cannot be equally divided, the character of the former section of split key is one more bit than the character of the latter section of split key; obtaining a front split key and a rear split key;
s7: arranging according to the sequence of the component data, placing a front splitting key at the forefront of the first component data, then placing a rear splitting key at the forefront of the second component data, then placing the front splitting key at the forefront of the third component data, and sequentially alternating to finish marking all the component data to obtain marked data; adding the same character 1 to the tail end of all the marked data;
s8: when i is larger than 1, automatically acquiring all corresponding readable data Ki;
s9: marking the data according to the same principle of the steps S4-S8, marking the i value at the rear end of the sequence number, finishing marking all the component data, and obtaining marked data;
s10: acquiring any next user login key, and repeating the steps S2-S10 until label data which are collated by the readable data corresponding to all the user login keys are obtained;
s11: and randomly combining all the marking data to obtain a marking data group.
6. The cloud-computing-based key index presentation system according to claim 5, wherein the specific splitting manner for splitting the readable data in step S4 is as follows:
acquiring the number of characters of a user login key, and marking the number of characters as a segment score;
marking a segment of data separated by any punctuation marks in the readable data as a split sentence, wherein the split sentence comprises the corresponding separated punctuation marks;
marking split sentences with one segment score at intervals as component data, and automatically counting the rest split sentences as the component data if the split sentences with the corresponding segment scores are not split at last;
several sections of component data are obtained.
7. The cloud computing-based key indicator presentation system of claim 1, wherein the processor is communicatively coupled to the user unit in the specific manner:
the storage device is used for forming contact with the user unit, the storage device is a hard disk, and the user unit acquires the marking data set from the storage device.
8. The cloud computing-based key index presentation system according to claim 1, wherein the specific data matching process is as follows:
SS 1: acquiring a marking data set and a user login key;
SS 2: extracting matched marking data in all related marking data groups according to a user login key, wherein the specific matching is verified by two factors:
whether the number of the split sentences of the marked data is consistent with the number of characters of the user login key or not is judged;
whether the data at the forefront end of the marking data is completely matched with the first half or the second half of the user login key or not is judged;
when the two conditions are met simultaneously, the matching is successful; if the number of the split sentences with only one marked data is inconsistent with the character number of the user login key, the data at the forefront of the marked data is completely consistent with the first half or the second half of the user login key; the matching is successful;
SS 3: acquiring all matched marking data; marking the same last character of the marked data as corresponding translation data;
SS 4: arranging the translation data in sequence according to the sequence of the penultimate character to obtain fused data after kernel;
SS 5: reducing the nucleated data of all the marked data according to the principle of the step SS3-SS4 to obtain a nucleated data group consisting of a plurality of nucleated data;
SS 6: judging the data type of the data according to the name of the data after the nuclear data, intelligently judging which data belongs to week key work plan, day summary, week summary, training plan, monthly performance and the like according to the data type, and sequencing the data after the nuclear data group from large to small according to the query times of the user in the last month; obtaining the data after the kernel and the corresponding sorting value; the rank values are marked sequentially from 1 onwards.
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| CN202111043374.8A CN113780798B (en) | 2021-09-07 | Key index display system based on cloud computing |
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| CN202111043374.8A CN113780798B (en) | 2021-09-07 | Key index display system based on cloud computing |
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| CN113780798A true CN113780798A (en) | 2021-12-10 |
| CN113780798B CN113780798B (en) | 2024-05-28 |
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