CN115248856A - Cross-chain data retrieval system based on block chain - Google Patents
Cross-chain data retrieval system based on block chain Download PDFInfo
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- CN115248856A CN115248856A CN202210099022.2A CN202210099022A CN115248856A CN 115248856 A CN115248856 A CN 115248856A CN 202210099022 A CN202210099022 A CN 202210099022A CN 115248856 A CN115248856 A CN 115248856A
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- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The invention discloses a block chain-based cross-chain data retrieval system which comprises a block chain node storage module, a hardness adjusting module and a health retrieval module, wherein the block chain node storage module is used for storing and recording personal health information, the hardness adjusting module is used for intelligently adjusting the hardness comfort level of a mattress, the health retrieval module is used for retrieving health maintenance related information, the block chain node storage module is connected with the hardness adjusting module through a network, the hardness adjusting module is electrically connected with the health retrieval module, the block chain node storage module comprises an information storage module, a card punching entry module and a heart rate entry unit, the information storage module is used for storing personal body index information and age information, and the card punching entry module is used for entering food and exercise amount information after diet and fitness.
Description
Technical Field
The invention relates to the technical field of retrieval of diagnosis and treatment data, in particular to a block chain-based cross-chain data retrieval system.
Background
Mattress firmness is divided into medium firmness, hard firmness and stiffened firmness. The bed with moderate hardness can keep the spine to keep normal physiological bending, so that muscles are not easy to fatigue. The bed which is too hard increases the muscle pressure, so that the waist is sore and backache, and people have to turn over frequently and are difficult to sleep; too soft a bed causes increased load on the ligaments and joints around the spine, passive tension of muscles, and soreness and pain in the back over time. Therefore, it is important to select a mattress that fits itself.
With the development of science and technology, mattresses with adjustable hardness have been realized in the prior art, however, for some people who are still in the medical rehabilitation period, different rehabilitation training exercise amounts are required every day, according to the scientific research surface, the hardness and hardness of the mattresses are selected differently after different exercise amounts every day, the adjustment is difficult to control by oneself, and meanwhile, when individuals search for medical health, the individuals often forget health data every day, which causes inaccurate search contents, and the sleep states of every day cannot be known specifically. Therefore, it is necessary to design a block chain-based cross-chain data retrieval system with high accuracy and capable of intelligently pushing related content according to sleep states.
Disclosure of Invention
The present invention is directed to a block chain-based cross-chain data retrieval system, so as to solve the problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: the utility model provides a span chain data retrieval system based on block chain, includes block chain link point storage module, soft or hard degree adjustment module and healthy retrieval module, block chain node storage module is used for storing record personal health information, soft or hard degree adjustment module is used for the soft or hard comfort level of intelligent regulation mattress, healthy retrieval module is used for retrieving healthy health preserving relevant information, block chain node storage module and soft or hard degree adjustment module network connection, soft or hard degree adjustment module is connected with healthy retrieval module electricity.
According to above-mentioned technical scheme, block chain link point storage module includes information storage module, type module and rhythm of the heart input unit of checking the card, information storage module is used for storing individual health index information and age information, type module of checking the card is used for the individual to type in after diet and body-building and intakes food and exercise amount information, the rhythm of the heart input unit includes the rhythm of the heart and measures the bracelet, the rhythm of the heart is measured the bracelet and is used for monitoring wrist pulse beat frequency, and the feedback rhythm of the heart beats frequency and types in to block chain link point storage module in real time.
According to the technical scheme, the hardness adjusting module comprises a transmission module, a pressure sensing unit, a stress analysis module, a calculation execution unit and a timing unit, the transmission module is in network connection with a block chain point storage module, the transmission module is used for transmitting block chain node storage information, the pressure sensing unit is used for monitoring pressure values of all parts of the mattress, the stress analysis module is electrically connected with the transmission module and the pressure sensing unit, the stress analysis module is used for analyzing and calculating stress of all parts of the mattress to judge personal sleep postures, the calculation execution unit is electrically connected with the stress analysis module, the calculation execution unit is used for calculating and adjusting hardness of the mattress according to the sleep postures, the timing unit is electrically connected with the calculation execution unit, and the timing unit is used for timing each adjustment of hardness.
According to the technical scheme, the health retrieval module comprises a calling module, a pre-input module and an intelligent pushing module, the calling module is connected with the block chain link point storage module through a network, the calling module is electrically connected with the timing unit and used for acquiring personal health and sleep conditions, the pre-input module is electrically connected with the calling module and used for analyzing personal health conditions, analyzing and judging personal required retrieval contents and displaying the personal required retrieval contents to the retrieval input frame, the intelligent pushing module is electrically connected with the pre-input module, and the intelligent pushing module is used for intelligently pushing similar articles and products according to the retrieval contents and the personal health data.
According to the technical scheme, the operation method of the block link point storage module mainly comprises the following steps:
step S1: establishing a personal information database in a block chain service network, and storing personal body weight and age information;
step S2: recording the food types and the intake amount by punching a card every day, and recording the exercise amount of the punching card to the block link point storage module;
and step S3: the heart rate measuring bracelet detects the heart rate of a person in real time and transmits the heart rate to the block chain link point storage module in real time.
According to the technical scheme, the operation method of the hardness-softness adjusting module mainly comprises the following steps:
step A1: the transmission module acquires the storage information of the block chain nodes in real time;
step A2: a plurality of groups of pressure sensing units are distributed on the mattress, and the stress condition of each part of the mattress is monitored after a person lies on the mattress;
step A3: the stress analysis module analyzes the stress condition of the mattress and outputs an analysis judgment result;
step A4: the calculation execution unit calculates and executes the adjustment of the hardness of the mattress according to the output result;
step A5: and when the calculation execution unit executes the adjustment and then refreshes for timing, the timing unit transmits the last period of time to the calling unit.
According to the above technical solution, the step A3 further includes the steps of:
step A31: equally distributing the mattress into a plurality of cells with the side length of n, wherein each cell corresponds to a pressure induction unit;
step A32: after the person lies on the bed, the unit lattices in each stress area feed back the stress value f of the current unit lattice and determine the maximum stress value f max The cell in which the cell is located;
step A33: with f max Taking the cell as the center, and taking f horizontally max The number value N of the unit grids which are stressed on the unit grids and send out electric signals on the two sides of the unit grids;
step A34: according to the formula i = N · N, when
When the user is asleep, the user is analyzed to be supine
When the person lies on the bed, the area with the largest stress of the mattress is near the buttocks, the relationship between the width value near the position with the largest stress of the mattress and the weight of the person is measured, and when the person lies on the bed, the contact area of the buttocks and the mattress is larger than that of lying on the side, and then the lying position sleeping posture is judged through the stress analysis of the mattress.
According to the above technical solution, the step A4 further includes the steps of:
step A41: receiving a sleeping posture analysis judgment result;
step A42: acquiring an individual age value Q and a body building exercise amount W in one day through a transmission module;
step A43: by the formula
Calculating the hardness value required by the mattress, wherein e is a constant greater than 1 and represents the hardness value of the mattress, and k and U are mattress hardness value reference coefficients and are constants greater than 0; when the personal value Q is larger, the relative mattress hardness value e is larger, the waist bone is relatively weaker due to the larger age, and the soft mattress is easy to cause the waist bone to sink; when the exercise quantity value W is larger in one day, the hardness value e of the relative mattress is smaller, and the larger the exercise quantity is, the larger the relatively stressed area of the softer mattress is, so that the soreness and pain of the waist bone can be easily relieved;
step A44: adjusting the hardness of the mattress to the value e.
According to the technical scheme, the operation method of the health retrieval module mainly comprises the following steps:
step B1: the individual opens a health retrieval page to begin to retrieve health related information;
and step B2: the calling module calls personal health and sleep conditions;
and step B3: health information and sleep state information related to individuals are pre-input below the retrieval frame, retrieval options are added when individuals retrieve, and necessary information required by retrieval is prevented from being lost or forgotten;
and step B4: after retrieval, articles and products similar to the retrieval result are pushed below the retrieval result.
According to the technical scheme, in the steps B2-B3, the calling module calls and pre-inputs the personal weight, the age, the diet, the exercise and the real-time heart rate of the latest days to the lower part of the retrieval frame, so that the condition that the accuracy of retrieval is influenced because the individual forgets related health data during retrieval is avoided; meanwhile, all timing data of the timing unit after the stress of the mattress changes are called to the lower portion of the retrieval frame, when the leveling value of the timing period is smaller than the normal sleep turning period, the intelligent pushing module preferentially pushes articles and products selected by sleep health and mattress hardness and softness for manually adjusting the mattress hardness and softness, the condition that the mattress hardness and softness cannot be adjusted in the optimal state due to omission of data stored by the block chain node storage module is avoided, and the sleep quality is further improved.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, by arranging the block chain node storage module, the hardness adjusting module and the health retrieval module, the hardness of the mattress can be adjusted according to personal health information and living states stored at the block chain cloud end, and the hardness of the mattress is suitable for different sleeping postures, when the turning frequency is high when the personal sleeping is detected after the hardness of the mattress is adjusted, the health retrieval module preferentially pushes relevant articles and products of the sleeping health problem, and when the health content is retrieved, the content related to the personal health data can be pre-input, the health information is prevented from being omitted during retrieval, and the retrieval accuracy is improved.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of the system module composition of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a block chain-based cross-chain data retrieval system comprises a block chain link point storage module, a hardness and softness adjusting module and a health retrieval module, wherein the block chain link point storage module is used for storing and recording personal health information, the hardness and softness adjusting module is used for intelligently adjusting the hardness and softness of a mattress, the health retrieval module is used for retrieving health maintenance related information, the block chain link point storage module is in network connection with the hardness and softness adjusting module, and the hardness and softness adjusting module is electrically connected with the health retrieval module; through being provided with block chain link point storage module, soft or hard degree adjusting module and healthy retrieval module, can store the soft or hard degree of individual health information and life condition adjustment mattress according to block chain high in the clouds, and make mattress soft or hard degree be fit for different sleeping postures, when detecting that the frequency of standing up when individual sleep is higher after mattress soft or hard degree is adjusted, the health retrieval module is prior to the relevant article and the product of propelling movement sleep health problem, and when retrieving healthy content, can input in advance with the relevant content of individual health data, omit healthy information when avoiding retrieving, the degree of accuracy of retrieval has been improved.
Block chain link point storage module includes information storage module, type module and rhythm of the heart type unit of checking the card, information storage module is used for storing individual health index information and age information, type module of checking the card is used for individual to type in after diet and body-building and intakes food and exercise amount information, rhythm of the heart type unit includes the rhythm of the heart and measures the bracelet, the rhythm of the heart is measured the bracelet and is used for monitoring wrist pulse beat frequency, feedback rhythm of the heart beat frequency and type in real time to block chain link point storage module.
The hardness adjusting module comprises a transmission module, a pressure sensing unit, a stress analysis module, a calculation execution unit and a timing unit, the transmission module is in network connection with the block chain point storage module, the transmission module is used for transmitting block chain node storage information, the pressure sensing unit is used for monitoring pressure values borne by all parts of the mattress, the stress analysis module is electrically connected with the transmission module and the pressure sensing unit, the stress analysis module is used for analyzing and calculating stress of all parts of the mattress, the personal sleep posture is judged, the calculation execution unit is electrically connected with the stress analysis module, the calculation execution unit is used for calculating the hardness of the mattress according to the sleep posture, the timing unit is electrically connected with the calculation execution unit, and the timing unit is used for timing the hardness of each adjustment.
The health retrieval module is including transferring the module, input module and intelligent propelling movement module in advance, transfer the module and store module internet access with block chain link point, it is connected with the timing unit electricity to transfer the module, it is used for acquireing personal health and sleep situation to transfer the module, it is connected with the module electricity to transfer in advance, it is used for the analysis personal health situation analysis to judge the required retrieval content of individual to input the module in advance, and show to the retrieval input frame, intelligent propelling movement module is connected with input module electricity in advance, intelligent propelling movement module is used for carrying out close article of intelligent propelling movement and product according to retrieval content and personal health data.
The operation method of the block link point storage module mainly comprises the following steps:
step S1: establishing a personal information database in a block chain service network, and storing personal body weight and age information;
step S2: recording the food types and the intake amount by punching a card every day, and recording the exercise amount of the punching card to the block link point storage module;
and step S3: the heart rate measuring bracelet detects the heart rate of a person in real time and transmits the heart rate to the block chain link point storage module in real time.
The operation method of the hardness-softness adjusting module mainly comprises the following steps:
step A1: the transmission module acquires the storage information of the block chain nodes in real time;
step A2: a plurality of groups of pressure sensing units are distributed on the mattress, and the stress condition of each part of the mattress is monitored after a person lies on the mattress;
step A3: the stress analysis module analyzes the stress condition of the mattress and outputs an analysis judgment result;
step A4: the calculation execution unit calculates and executes the adjustment of the hardness of the mattress according to the output result;
step A5: and when the computing execution unit performs the adjustment and then refreshes for timing, the timing unit transmits the last period of time to the calling unit.
Step A3 further comprises the steps of:
step A31: equally distributing the mattress into a plurality of cells with the side length of n, wherein each cell corresponds to a pressure sensing unit;
step A32: after the person lies on the bed, the unit lattices in each stress area feed back the stress value f of the current unit lattice and determine the maximum stress value f max The cell in which the cell is located;
step A33: with f max Taking the cell as the center, and taking f horizontally max The number value N of the unit cell where the unit cell is located and the unit cells which are stressed on the two sides and send out electric signals;
step A34: according to the formula i = N · N, when
When the user sleeps, the user is in the supine position
When the person lies on the bed, the area with the largest stress of the mattress is near the buttocks, the relationship between the width value near the position with the largest stress of the mattress and the weight of the person is measured, and when the person lies on the bed, the contact area of the buttocks and the mattress is larger than that of lying on the side, and then the lying position sleeping posture is judged through the stress analysis of the mattress.
Step A4 further comprises the steps of:
step A41: receiving a sleeping posture analysis judgment result;
step A42: acquiring an individual age value Q and a body-building exercise amount W in one day through a transmission module;
step A43: by the formula
Calculating the hardness value required by the mattress, wherein e is a constant larger than 1 and represents the hardness value of the mattress, and k and U are mattress hardness value reference coefficients and are constants larger than 0; when the personal value Q is larger, the relative mattress hardness value e is larger, the waist bone is relatively weaker due to the larger age, and the soft mattress is easy to cause the sinking of the waist bone; when the value W of the fitness exercise in one day is larger, the hardness value e of the relative mattress is smaller due to the exerciseThe larger the quantity is, the larger the relative stress area of the softer mattress is, and the soreness of the waist bone can be easily relieved;
step A44: adjusting the hardness of the mattress to the value e.
The operation method of the health retrieval module mainly comprises the following steps:
step B1: the person opens a health retrieval page to begin retrieving health related information;
and step B2: the calling module calls personal health and sleep conditions;
and step B3: health information and sleep state information related to individuals are pre-input below the retrieval frame, retrieval options are added when individuals retrieve, and necessary information required by retrieval is prevented from being lost or forgotten;
and step B4: after retrieval, articles and products similar to the retrieval result are pushed below the retrieval result.
In the steps B2-B3, the calling module calls and pre-inputs the personal weight, the age, the diet, the exercise and the real-time heart rate of the latest days to the lower part of the retrieval frame, so that the condition that the personal forgets related health data during retrieval to influence the retrieval accuracy is avoided; and meanwhile, all timing data of the timing unit after the stress of the mattress changes are called to the lower part of the retrieval frame, and when the leveling value of the timing period is smaller than the normal sleep turning period, the intelligent pushing module preferentially pushes articles and products selected by sleep health and mattress hardness for manually adjusting the mattress hardness, so that the condition that the mattress hardness is not adjusted to the optimal state due to omission of data stored by the block chain node storage module is avoided, and the sleep quality is further improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a stride chain data retrieval system based on block chain, includes block chain link point storage module, soft or hard degree adjustment module and healthy retrieval module, its characterized in that: the utility model discloses a health maintenance mattress, including block chain node storage module, softness and hardness adjustment module, health retrieval module, block chain node storage module, softness and hardness adjustment module, soft or hard adjustment module is connected with health retrieval module electricity.
2. The blockchain-based cross-chain data retrieval system of claim 1, wherein: block chain link point storage module includes information storage module, beats the card and types the module and the unit is typeeed to the rhythm of the heart, information storage module is used for storing individual health index information and age information, it types the module and is used for the individual to type in after diet and body-building and intakes food and exercise amount information to beat the card, the rhythm of the heart is typeeed the unit and is included the rhythm of the heart and measures the bracelet, the rhythm of the heart measures the bracelet and is used for monitoring wrist pulse beat frequency, and the feedback rhythm of the heart beats frequency and types in to block chain link point storage module in real time.
3. The blockchain-based cross-chain data retrieval system of claim 2, wherein: the utility model discloses a mattress, including transmission module, forced induction unit, atress analysis module, calculation execution unit and timing unit, transmission module and block chain link point storage module internet access, transmission module is used for transmission block chain node storage information, the forced induction unit is used for monitoring the pressure value that each position of mattress receives, atress analysis module is connected with transmission module and forced induction unit electricity, atress analysis module is used for calculating according to each position of mattress atress analysis, judges individual sleep posture, it is connected with atress analysis module electricity to calculate the execution unit, it is used for calculating the soft or hard degree of adjustment mattress according to the sleep posture to calculate the execution unit, the timing unit is connected with calculation execution unit electricity, the timing unit is used for timing the adjustment soft or hard degree each time.
4. The blockchain-based cross-chain data retrieval system of claim 3, wherein: the health retrieval module is including transferring the module, inputing the module in advance and intelligent propelling movement module, transfer the module and store module internet access with block chain link point, transfer the module and be connected with the timing unit electricity, transfer the module and be used for acquireing personal health and sleep situation, inputting the module in advance and transferring the module electricity and be connected, inputting the module in advance and being used for the analysis of personal health situation to judge the personal required retrieval content to show to the retrieval input frame, intelligent propelling movement module is connected with inputting the module electricity in advance, intelligent propelling movement module is used for carrying out close article of intelligent propelling movement and product according to retrieval content and personal health data.
5. The blockchain-based cross-chain data retrieval system of claim 4, wherein: the operation method of the block link point storage module mainly comprises the following steps:
step S1: establishing a personal information database in a block chain service network, and storing personal body weight and age information;
step S2: recording the food types and the intake amount by punching a card every day, and recording the exercise amount of the punching card to the block link point storage module;
and step S3: the heart rate measuring bracelet detects the heart rate of a person in real time and transmits the heart rate to the block chain link point storage module in real time.
6. The blockchain-based cross-chain data retrieval system of claim 5, wherein: the operation method of the hardness-softness adjusting module mainly comprises the following steps:
step A1: the transmission module acquires the storage information of the block chain nodes in real time;
step A2: a plurality of groups of pressure sensing units are distributed on the mattress, and stress conditions of all parts of the mattress are monitored after a person lies on the bed;
step A3: the stress analysis module analyzes the stress condition of the mattress and outputs an analysis judgment result;
step A4: the calculation execution unit calculates and executes the adjustment of the hardness of the mattress according to the output result;
step A5: and when the calculation execution unit executes the adjustment and then refreshes for timing, the timing unit transmits the last period of time to the calling unit.
7. The system according to claim 6, wherein: the step A3 further comprises the steps of:
step A31: equally distributing the mattress into a plurality of cells with the side length of n, wherein each cell corresponds to a pressure induction unit;
step A32: after the person lies on the bed, the unit lattices in each stress area feed back the stress value f of the current unit lattice and determine the maximum stress value f max The cell in which the cell is located;
step A33: with f max Taking the cell as the center, and taking f horizontally max The number value N of the unit cell where the unit cell is located and the unit cells which are stressed on the two sides and send out electric signals;
step A34: according to the formula i = N · N, when
At the same time, the sleeping posture is analyzed to be upwardLying in the bed when
When the person lies on the bed, the area with the largest stress of the mattress is near the buttocks, the relationship between the width value near the position with the largest stress of the mattress and the weight of the person is measured, and when the person lies on the bed, the contact area of the buttocks and the mattress is larger than that of lying on the side, and then the lying position sleeping posture is judged through the stress analysis of the mattress.
8. The system according to claim 7, wherein: the step A4 further comprises the steps of:
step A41: receiving a sleeping posture analysis judgment result;
step A42: acquiring an individual age value Q and a body building exercise amount W in one day through a transmission module;
step A43: by the formula
Calculating the hardness value required by the mattress, wherein e is a constant greater than 1 and represents the hardness value of the mattress, and k and U are mattress hardness value reference coefficients and are constants greater than 0; when the personal value Q is larger, the relative mattress hardness value e is larger, the waist bone is relatively weaker due to the larger age, and the soft mattress is easy to cause the waist bone to sink; when the value W of the body-building exercise is larger in one day, the hardness value e of the relatively soft mattress is smaller, and the relatively stressed area of the relatively soft mattress is larger due to larger exercise amount, so that the soreness and pain of the waist bone can be easily relieved;
step A44: adjusting the hardness of the mattress to the value e.
9. The system according to claim 8, wherein: the operation method of the health retrieval module mainly comprises the following steps:
step B1: the individual opens a health retrieval page to begin to retrieve health related information;
and step B2: the calling module calls personal health and sleep conditions;
and step B3: health information and sleep state information related to individuals are pre-input below the retrieval frame, retrieval options are added when individuals retrieve, and necessary information required by retrieval is prevented from being lost or forgotten;
and step B4: after retrieval, articles and products similar to the retrieval result are pushed below the retrieval result.
10. The blockchain-based cross-chain data retrieval system of claim 9, wherein: in the steps B2-B3, the calling module calls and pre-inputs the personal weight, the age, the diet, the exercise and the real-time heart rate of the latest days to the lower part of the retrieval frame, so that the condition that the accuracy of retrieval is influenced because the personal forgets related health data during retrieval is avoided; and meanwhile, all timing data of the timing unit after the stress of the mattress changes are called to the lower part of the retrieval frame, and when the leveling value of the timing period is smaller than the normal sleep turning period, the intelligent pushing module preferentially pushes articles and products selected by sleep health and mattress hardness for manually adjusting the mattress hardness, so that the condition that the mattress hardness is not adjusted to the optimal state due to omission of data stored by the block chain node storage module is avoided, and the sleep quality is further improved.
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