CN116644825A - Big data-based outpatient information inquiry reservation management system - Google Patents
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Abstract
The invention discloses an outpatient information inquiry reservation management system based on big data, which relates to the technical field of outpatient information management and comprises a server, a permission analysis unit, a page analysis unit, a selection analysis unit, a transmission analysis unit, an information display unit, a display execution unit and an integration evaluation unit; according to the invention, through monitoring and early warning of the inquiry and reservation operation process, the efficiency and the safety of the outpatient information inquiry and reservation are improved better, namely, the safety authority authentication analysis is carried out on the authentication data to ensure the safety of patient information, and the information display monitoring, evaluation and analysis are carried out on the display data in an information feedback mode to ensure the normal operation of the inquiry and reservation operation, and the monitoring, feedback, evaluation and analysis are carried out on the transmission data in depth to ensure the stability of data transmission and the integrity of the display information, so that a stable operation basis is provided for the outpatient information inquiry and reservation.
Description
Technical Field
The invention relates to the technical field of clinic information management, in particular to a clinic information inquiry reservation management system based on big data.
Background
The medical system is an edge science integrating various subjects such as medicine, information, management, computers and the like, has been widely applied in developed countries, and creates good social benefits and economic benefits, is necessary technical support and infrastructure for the operation of modern hospitals, and aims to strengthen the management of the hospitals by means of more modernization, scientization and standardization, improve the working efficiency of the hospitals and improve the medical quality, thereby setting up new images of the modern hospitals, and being the necessary direction of the development of the hospitals in the future;
the number of patients in the hospital is increased year by year, the clinic department of the hospital is the first door facing to the patient, the rapidness and the simplicity in the inquiring and reserving operation process of the clinic information directly influence the satisfaction degree of the patient, but the clinic information in the prior art cannot monitor the information integrity of a display page in the inquiring and reserving process, so that the efficiency and the operation of inquiring and reserving are influenced, and the clinic service equipment network cannot be monitored, so that the stability of data transmission and the integrity of the display information are influenced, the normal operation of inquiring and reserving operation is influenced, and the overall efficiency of inquiring and reserving is reduced;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide an outpatient information inquiry reservation management system based on big data, which solves the technical defects, and the invention monitors and pre-warns the inquiry reservation operation process so as to better improve the efficiency and the safety of the subsequent inquiry reservation operation, namely, the safety of patient information is ensured by carrying out safety authority authentication analysis on authentication data, and the display data of a display page is subjected to information display monitoring evaluation analysis in an information feedback mode so as to ensure the integrity of information display, and simultaneously, the normal progress of the inquiry reservation operation is ensured, and the in-depth transmission data is subjected to monitoring feedback evaluation analysis so as to ensure the stability of data transmission and the integrity of display information, thereby being beneficial to improving the monitoring effect of the subsequent inquiry reservation operation and providing a stable operation basis for the inquiry reservation of outpatient information.
The aim of the invention can be achieved by the following technical scheme: the outpatient information inquiry reservation management system based on big data comprises a server, a permission analysis unit, a page analysis unit, a selection analysis unit, a transmission analysis unit, an information display unit, a display execution unit and an integration evaluation unit;
when the server generates a management instruction, the management instruction is sent to the authority analysis unit, the authority analysis unit immediately collects authentication data input by a user in the outpatient service equipment after receiving the management instruction, the authentication data comprises an outpatient information card ID number and a registration password, safety authority authentication analysis is carried out on the authentication data, and the obtained authorization signal is sent to the page analysis unit and the selection analysis unit;
the page analysis unit immediately acquires display data of a display page corresponding to the authorization signal after receiving the authorization signal, wherein the display data comprises information loading speed and page characteristic images, performs information display, supervision, evaluation and analysis on the display data, sends an obtained normal signal to the selection analysis unit, and sends an obtained optimized signal to the transmission analysis unit;
the transmission analysis unit immediately acquires transmission data of the outpatient service equipment network after receiving the optimization signal, wherein the transmission data comprises a network stability evaluation value and a line risk value, performs supervision feedback evaluation analysis on the transmission data, and sends the obtained early warning signal to the information display unit;
the selection analysis unit immediately collects operation data of the outpatient service equipment after receiving the authorization signal and the normal signal, wherein the operation data comprises a delay risk value and an operation current of the display element, performs safe operation supervision and evaluation analysis on the operation data, sends an obtained inquiry instruction and an obtained reservation instruction to the display execution unit and the integration evaluation unit, and sends an obtained blocked signal to the information display unit;
and the integration evaluation unit immediately invokes the display data, the information display transmission evaluation coefficient C and the operation data to carry out integration evaluation analysis after receiving the inquiry instruction and the reservation instruction, and sends the obtained management signal to the information display unit.
Preferably, the security authority authentication analysis process of the authority analysis unit is as follows:
carrying out character extraction on the password corresponding to the ID number of the outpatient information card registered with the patient and the password corresponding to the ID number of the outpatient information card to form an authenticated character string, so as to construct an authority database of the authenticated character string;
acquiring an outpatient information card ID number and a registration password input by a patient, performing character extraction on the outpatient information card ID number and the registration password input by the patient, forming a first verification character string, and comparing the first verification character string with a permission database for analysis:
if the first verification character string belongs to the authority database, generating an authorization signal;
if the first verification character string does not belong to the authority database, generating a feedback instruction, and returning to the login page for secondary authorization verification when the feedback instruction is generated.
Preferably, the information display supervision and evaluation analysis process of the page analysis unit is as follows:
s1: acquiring the duration of a period of time after an authorization signal is generated, marking the duration as a time threshold, dividing the time threshold into i sub-time nodes, wherein i is a natural number larger than zero, acquiring the information loading speed of a device display page in each sub-time node, constructing a set A of the information loading speed, acquiring the difference value between two connected subsets in the set A, acquiring the average value of the difference value between the two connected subsets, and marking the average value of the difference value between the two connected subsets as a loading floating value;
s12: acquiring a page feature image of a device display page in a time threshold, simultaneously acquiring a standard page feature image of a normal device display page, dividing the standard page feature image into a text region and a non-text region, acquiring an area value of the text region in the standard page feature image, marking the area value as an operation area, acquiring an area value of the text region in the page feature image in the time threshold, marking the area value as a display area, and marking the ratio of the display area to the operation area as a display risk value;
s13: comparing the loading floating value with a preset loading floating value threshold value and a preset display risk value threshold value of the internal input storage of the loading floating value and the display risk value, and analyzing the loading floating value and the display risk value:
if the loading floating value is smaller than the preset loading floating value threshold value and the display risk value is smaller than the preset display risk value threshold value, generating a normal signal;
and if the loading floating value is greater than or equal to a preset loading floating value threshold value or the display risk value is greater than or equal to a preset display risk value threshold value, generating an optimization signal.
Preferably, the process of supervision feedback evaluation analysis of the transmission analysis unit is as follows:
SS1: acquiring network stability evaluation values of equipment in each sub-time node, wherein the network stability evaluation values represent the ratio of the real-time network transmission speed to the real-time network connection number of a network connected with the outpatient service equipment, so as to acquire the difference value between the network stability evaluation values in the two connected sub-time nodes, mark the floating value, acquire the maximum value and the minimum value of the floating value, and mark the average risk value PF of the difference value between the maximum value and the minimum value of the floating value;
SS12: acquiring a line risk value of equipment in each sub-time node, wherein the line risk value refers to a product value obtained by carrying out data normalization processing on a part of a conductor resistance value exceeding a preset conductor resistance value threshold and a line temperature value, comparing the line risk value with a preset line risk value threshold, and if the line risk value is larger than the preset line risk value threshold, marking the ratio of the total number of sub-time nodes corresponding to the line risk value larger than the preset line risk value threshold to the total number of sub-time nodes as a line interference value XG;
SS13: obtaining an information display transmission evaluation coefficient C according to a formula, and comparing the information display transmission evaluation coefficient C with a preset information display transmission evaluation coefficient threshold value recorded and stored in the information display transmission evaluation coefficient C:
if the information display transmission evaluation coefficient C is smaller than or equal to a preset information display transmission evaluation coefficient threshold value, no signal is generated;
and if the information display transmission evaluation coefficient C is larger than the preset information display transmission evaluation coefficient threshold value, generating an early warning signal.
Preferably, the safety operation supervision and evaluation analysis process of the selection analysis unit is as follows:
the first step: acquiring a delay risk value of an equipment operation panel in a time threshold, wherein the delay risk value represents a ratio of a part of a time period exceeding a preset time period from the moment of opening the touch operation panel to the moment of realizing an expected instruction to the preset time period, comparing the delay risk value with a preset delay risk value threshold, and if the delay risk value is larger than the preset delay risk value threshold, marking the ratio of the part of the delay risk value larger than the preset delay risk value threshold to the preset delay risk value threshold as a delay influence value;
and a second step of: acquiring the running current of an internal display element of an equipment operation panel in each sub-time node, taking time as an X axis, taking the running current as Y, establishing a rectangular coordinate system, drawing a running current curve in a dot drawing mode, drawing a preset running current threshold curve in the coordinate system, acquiring the ratio between the length of a line segment above the preset running current threshold curve and the length of a line segment corresponding to the running current curve, and marking the ratio between the length of the line segment above the preset running current threshold curve and the length of the line segment corresponding to the running current curve as an abnormal influence value;
and a third step of: comparing the delay influence value and the abnormal influence value with a preset delay influence value threshold value and a preset abnormal influence value threshold value which are recorded and stored in the delay influence value and the abnormal influence value respectively, and analyzing the delay influence value and the abnormal influence value:
if the delay influence value is smaller than the preset delay influence value threshold value and the abnormal influence value is smaller than the preset abnormal influence value threshold value, generating an identification instruction;
and if the delay influence value is greater than or equal to a preset delay influence value threshold or the abnormal influence value is greater than or equal to a preset abnormal influence value threshold, generating a blocking signal.
Preferably, when the selection analysis unit generates the identification instruction:
acquiring the subsequent operation of a user, and performing discriminant analysis on the subsequent operation:
if the subsequent operation is a query operation, generating a query instruction;
and if the subsequent operation is the reservation operation, generating a reservation instruction.
Preferably, the integrated evaluation analysis process of the integrated evaluation unit is as follows:
obtaining a loading floating value, a display risk value, a delay influence value and an abnormal influence value, and respectively marking the loading floating value, the display risk value, the delay influence value and the abnormal influence value as JZ, ZF, YY and YX;
according to the formulaObtaining an integration operation evaluation coefficient, wherein f1, f2, f3, f4 and f5 are respectively preset weight coefficients of a loading floating value, a display risk value, a delay influence value, an abnormal influence value and an information display transmission evaluation coefficient, f1, f2, f3, f4 and f5 are positive numbers larger than zero, XL is an integration operation evaluation coefficient, and the integration operation evaluation coefficient XL is compared with a preset integration operation evaluation coefficient threshold value which is recorded and stored in the integration operation evaluation coefficient:
if the integration operation evaluation coefficient XL is smaller than a preset integration operation evaluation coefficient threshold value, no signal is generated;
if the integration operation evaluation coefficient XL is greater than or equal to a preset integration operation evaluation coefficient threshold, generating a management signal.
The beneficial effects of the invention are as follows:
according to the invention, through monitoring and early warning on the process of inquiring and reserving operation, the efficiency and the safety of the inquiring and reserving of the outpatient service information are improved better, namely, the safety authority authentication analysis is carried out on authentication data to ensure the safety of patient information, and the information display monitoring and evaluating analysis is carried out on the display data of the display page in an information feedback mode to judge whether the information display of the outpatient service equipment is normal or not so as to ensure the integrity of the information display, and meanwhile, the monitoring and feedback evaluating analysis is carried out on the transmission data in depth so as to judge whether the network of the outpatient service equipment is normal or not so as to ensure the stability of data transmission and the integrity of the display information, thereby being beneficial to improving the monitoring effect of the subsequent inquiring and reserving operation and providing a stable operation basis for the inquiring and reserving of the outpatient service information;
according to the invention, through carrying out safe operation supervision evaluation analysis on the operation data, whether the outpatient service equipment can normally operate display information is judged, so that the working effect of the outpatient service equipment is ensured, meanwhile, the completeness of the inquiry reservation operation of the outpatient information is ensured, the follow-up operation is judged, the corresponding inquiry page and reservation page are displayed according to the obtained inquiry instruction and reservation instruction, further, the inquiry and reservation of the outpatient information are realized, and the integrated evaluation analysis is carried out on the process of inquiring and reservation operation, so that the inquiry and reservation efficiency of the outpatient information is better improved.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a flow chart of the system of the present invention;
FIG. 2 is an analysis chart of example 1 of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1 to 2, the present invention is an outpatient information inquiry reservation management system based on big data, which includes a server, a permission analysis unit, a page analysis unit, a selection analysis unit, a transmission analysis unit, an information display unit, a display execution unit and an integration evaluation unit, wherein the server is in unidirectional communication connection with the permission analysis unit, the permission analysis unit is in unidirectional communication connection with the page analysis unit and the selection analysis unit, the page analysis unit is in unidirectional communication connection with the selection analysis unit and the transmission analysis unit, the transmission analysis unit is in unidirectional communication connection with the information display unit, the selection analysis unit is in unidirectional communication connection with the information display unit, the display execution unit and the integration evaluation unit, and the integration evaluation unit is in unidirectional communication connection with the information display unit;
when the server generates a management instruction, the management instruction is sent to the authority analysis unit, the authority analysis unit immediately acquires authentication data input by a user in the outpatient service equipment after receiving the management instruction, the authentication data comprises an outpatient information card ID number and a registration password, and safety authority authentication analysis is carried out on the authentication data so as to ensure the safety of patient information, wherein the specific safety authority authentication analysis process is as follows:
carrying out character extraction on the password corresponding to the ID number of the outpatient information card registered with the patient and the password corresponding to the ID number of the outpatient information card to form an authenticated character string, so as to construct an authority database of the authenticated character string;
acquiring an outpatient information card ID number and a registration password input by a patient, performing character extraction on the outpatient information card ID number and the registration password input by the patient, forming a first verification character string, and comparing the first verification character string with a permission database for analysis:
if the first verification character string belongs to the authority database, generating an authorization signal, and sending the authorization signal to the page analysis unit and the selection analysis unit;
if the first verification character string does not belong to the authority database, generating a feedback instruction, and returning to the login page for secondary authorization verification when the feedback instruction is generated so as to ensure the safety of patient information;
the page analysis unit immediately acquires display data of a display page corresponding to the authorization signal after receiving the authorization signal, wherein the display data comprises information loading speed and page feature images, and performs information display, supervision, evaluation and analysis on the display data to judge whether information display of the outpatient service equipment is normal or not, so that the outpatient service equipment is managed in time, the integrity of the information display is ensured, the effect of the outpatient information inquiry reservation is improved, and the specific information display, supervision, evaluation and analysis process is as follows:
acquiring the time length of a period after an authorization signal is generated, marking the time length as a time threshold, dividing the time threshold into i sub-time nodes, wherein i is a natural number larger than zero, acquiring the information loading speed of a device display page in each sub-time node, constructing an information loading speed set A according to the information loading speed set A, acquiring the difference value between two connected sub-sets in the set A, namely the difference value between the information loading speed corresponding to the first sub-set and the information loading speed corresponding to the second sub-set, and the difference value between the information loading speed corresponding to the third sub-set and the information loading speed corresponding to the second sub-set, and the like, so as to acquire the average value of the difference value between the two connected sub-sets, and marking the average value of the difference value between the two connected sub-sets as a loading floating value.
The method comprises the steps of obtaining a page feature image of a device display page in a time threshold, simultaneously obtaining a standard page feature image of a normal device display page, dividing the standard page feature image into a text region and a non-text region, obtaining an area value of the text region in the standard page feature image, marking the area value as an operation area, obtaining an area value of the text region in the page feature image in the time threshold, marking the area value as a display area, marking the ratio of the display area to the operation area as a display risk value, wherein the operation area and the display area are both the area values of the text region, and the display risk value is an influence parameter reflecting the integrity of display information;
comparing the loading floating value with a preset loading floating value threshold value and a preset display risk value threshold value of the internal input storage of the loading floating value and the display risk value, and analyzing the loading floating value and the display risk value:
if the loading floating value is smaller than the preset loading floating value threshold value and the display risk value is smaller than the preset display risk value threshold value, generating a normal signal and sending the normal signal to the selection analysis unit;
if the loading floating value is greater than or equal to a preset loading floating value threshold value or the display risk value is greater than or equal to a preset display risk value threshold value, generating an optimization signal, and sending the optimization signal to a transmission analysis unit;
the transmission analysis unit immediately acquires transmission data of the outpatient service equipment network after receiving the optimization signal, the transmission data comprises a network stability evaluation value and a line risk value, and the transmission data is subjected to supervision feedback evaluation analysis to judge whether the outpatient service equipment network is normal or not so as to ensure the stability and the display integrity of data transmission, thereby being beneficial to improving the supervision effect of subsequent inquiry reservation, and the specific supervision feedback evaluation analysis process is as follows:
acquiring network stability evaluation values of equipment in each sub-time node, wherein the network stability evaluation values represent the ratio of the real-time network transmission speed to the real-time network connection number of the network connected with the outpatient service equipment, so as to acquire the difference value between the network stability evaluation values in the two connected sub-time nodes, mark the floating value, further acquire the maximum value and the minimum value of the floating value, mark the average risk value of the difference value between the maximum value and the minimum value of the floating value, and the mark is PF, wherein the larger the value of the average risk value PF is, the larger the abnormal risk of information transmission of the network connected with the outpatient service equipment is, and the larger the influence risk on the subsequent inquiry reservation operation is;
acquiring a line risk value of equipment in each sub-time node, wherein the line risk value refers to a product value obtained by carrying out data normalization processing on a part of a conductor resistance value exceeding a preset conductor resistance value threshold and a line temperature value, comparing the line risk value with a preset line risk value threshold, and if the line risk value is larger than the preset line risk value threshold, marking the ratio of the total number of sub-time nodes corresponding to the line risk value larger than the preset line risk value threshold to the total number of sub-time nodes as a line interference value, and marking the mark as XG;
according to the formulaObtaining an information display transmission evaluation coefficient, wherein a1 and a2 are preset scale factor coefficients of an average risk value and a line interference value respectively, the scale factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that calculation results are more accurate, a1 and a2 are positive numbers larger than zero, a3 is a preset compensation factor coefficient, the value is 1.446, C is the information display transmission evaluation coefficient, and the information display transmission evaluation coefficient C is compared with a preset information display transmission evaluation coefficient threshold value recorded and stored in the information display transmission evaluation coefficient C:
if the information display transmission evaluation coefficient C is smaller than or equal to a preset information display transmission evaluation coefficient threshold value, no signal is generated;
if the information display transmission evaluation coefficient C is larger than a preset information display transmission evaluation coefficient threshold value, generating an early warning signal, sending the early warning signal to an information display unit, and immediately displaying the early warning signal in a word network optimization mode by the information display unit after receiving the early warning signal, so that an outpatient staff can timely optimize equipment and a network to ensure the integrity of equipment information display, and meanwhile, the sensitivity of subsequent operation of a user is facilitated.
Example 2
The selection analysis unit immediately collects operation data of the outpatient service equipment after receiving the authorization signal and the normal signal, wherein the operation data comprises delay risk values and running currents of the display element, and carries out safe operation supervision and evaluation analysis on the operation data to judge whether the outpatient service equipment can normally operate display information so as to ensure the working effect of the outpatient service equipment, and meanwhile, ensure the normal operation of inquiry reservation, and the specific safe operation supervision and evaluation analysis process is as follows:
acquiring a delay risk value of an equipment operation panel in a time threshold, wherein the delay risk value represents a ratio of a part of a time period exceeding a preset time period from the moment of opening the touch operation panel to the moment of realizing an expected instruction to the preset time period, comparing the delay risk value with the preset delay risk value threshold, and if the delay risk value is larger than the preset delay risk value threshold, marking the ratio of the part of the delay risk value larger than the preset delay risk value threshold to the preset delay risk value threshold as a delay influence value, wherein the larger the value of the delay influence value is, the larger the risk of inquiry reservation blocking is;
acquiring the running current of an internal display element of an equipment operation panel in each sub-time node, taking time as an X axis, taking the running current as Y, establishing a rectangular coordinate system, drawing a running current curve in a dot drawing mode, drawing a preset running current threshold curve in the coordinate system, acquiring the ratio of the length of a line segment above the preset running current threshold curve to the length of a line segment corresponding to the running current curve, and marking the ratio of the length of the line segment above the preset running current threshold curve to the length of the line segment corresponding to the running current curve as an abnormal influence value, wherein the abnormal influence value is an influence parameter reflecting the inquiry reservation blocking of the operation panel;
comparing the delay influence value and the abnormal influence value with a preset delay influence value threshold value and a preset abnormal influence value threshold value which are recorded and stored in the delay influence value and the abnormal influence value respectively, and analyzing the delay influence value and the abnormal influence value:
if the delay influence value is smaller than the preset delay influence value threshold and the abnormal influence value is smaller than the preset abnormal influence value threshold, generating an identification instruction, acquiring the subsequent operation of a user when the identification instruction is generated, and performing discriminant analysis on the subsequent operation:
if the subsequent operation is a query operation, generating a query instruction;
if the subsequent operation is the reservation operation, generating a reservation instruction, sending the inquiry instruction and the reservation instruction to a display execution unit and an integration evaluation unit, and immediately displaying an inquiry page and a reservation page corresponding to the inquiry instruction and the reservation instruction by the display execution unit after receiving the inquiry instruction and the reservation instruction, so that the subsequent operation can be normally performed, and the efficiency of inquiry reservation can be improved;
if the delay influence value is greater than or equal to a preset delay influence value threshold value or the abnormal influence value is greater than or equal to a preset abnormal influence value threshold value, generating a blocking signal, and sending the blocking signal to an information display unit, wherein the information display unit immediately displays the blocking signal in a mode of blocking the text operation, so that an outpatient can timely optimize an equipment operation panel to improve the efficiency of inquiry reservation operation;
after receiving the inquiry command and the reservation command, the integration evaluation unit immediately invokes the display data, the information display transmission evaluation coefficient C and the operation data to carry out integration evaluation analysis, and judges whether the operation efficiency of the outpatient information inquiry reservation is qualified or not so as to integrally maintain the outpatient service equipment, wherein the specific integration evaluation analysis process is as follows:
obtaining a loading floating value, a display risk value, a delay influence value and an abnormal influence value, and respectively marking the loading floating value, the display risk value, the delay influence value and the abnormal influence value as JZ, ZF, YY and YX;
according to the formulaObtaining an integration operation evaluation coefficient, wherein f1, f2, f3, f4 and f5 are respectively preset weight coefficients of a loading floating value, a display risk value, a delay influence value, an abnormal influence value and an information display transmission evaluation coefficient, f1, f2, f3, f4 and f5 are positive numbers larger than zero, XL is an integration operation evaluation coefficient, and the integration operation evaluation coefficient XL is compared with a preset integration operation evaluation coefficient threshold value which is recorded and stored in the integration operation evaluation coefficient:
if the integration operation evaluation coefficient XL is smaller than a preset integration operation evaluation coefficient threshold value, no signal is generated;
if the integration operation evaluation coefficient XL is larger than or equal to a preset integration operation evaluation coefficient threshold value, generating a management signal, and sending the management signal to an information display unit, wherein the information display unit immediately displays the management signal in a word maintenance mode after receiving the management signal, so that the efficiency of the out-patient information inquiry reservation is improved better;
in summary, the invention performs supervision and early warning on the process of inquiring and reserving operation so as to better improve the efficiency and safety of the subsequent inquiring and reserving operation, namely, performs security authority authentication analysis on authentication data so as to ensure the safety of patient information, performs information display supervision and evaluation analysis on display data of a display page in an information feedback mode so as to determine whether the information display of the outpatient service equipment is normal or not so as to ensure the integrity of information display, simultaneously ensures the normal progress of inquiring and reserving operation, and further performs supervision and feedback evaluation analysis on transmission data so as to determine whether the network of the outpatient service equipment is normal or not so as to ensure the stability of data transmission and the integrity of display information, and simultaneously is beneficial to providing a stable operation basis for the outpatient information inquiry.
An example: the threshold and the coefficient are related in the text, the size of the coefficient is a specific numerical value obtained by quantizing each parameter, the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected;
for example: the method comprises the steps of presetting an operation current threshold curve of display elements, wherein the operation current threshold curve is set as a threshold value by taking 80 percent of an optimal value as a reference after an optimal value is obtained by collecting normal operation current values of a plurality of groups of display elements, and if the optimal value of the operation current is 2.0 volts, the operation current threshold is 1.6 volts, and the curve is drawn at 1.6 volts, so that the method has certain tolerance;
the size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
Claims (7)
1. The outpatient information inquiry reservation management system based on big data is characterized by comprising a server, a permission analysis unit, a page analysis unit, a selection analysis unit, a transmission analysis unit, an information display unit, a display execution unit and an integration evaluation unit;
when the server generates a management instruction, the management instruction is sent to the authority analysis unit, the authority analysis unit immediately collects authentication data input by a user in the outpatient service equipment after receiving the management instruction, the authentication data comprises an outpatient information card ID number and a registration password, safety authority authentication analysis is carried out on the authentication data, and the obtained authorization signal is sent to the page analysis unit and the selection analysis unit;
the page analysis unit immediately acquires display data of a display page corresponding to the authorization signal after receiving the authorization signal, wherein the display data comprises information loading speed and page characteristic images, performs information display, supervision, evaluation and analysis on the display data, sends an obtained normal signal to the selection analysis unit, and sends an obtained optimized signal to the transmission analysis unit;
the transmission analysis unit immediately acquires transmission data of the outpatient service equipment network after receiving the optimization signal, wherein the transmission data comprises a network stability evaluation value and a line risk value, performs supervision feedback evaluation analysis on the transmission data, and sends the obtained early warning signal to the information display unit;
the selection analysis unit immediately collects operation data of the outpatient service equipment after receiving the authorization signal and the normal signal, wherein the operation data comprises a delay risk value and an operation current of the display element, performs safe operation supervision and evaluation analysis on the operation data, sends an obtained inquiry instruction and an obtained reservation instruction to the display execution unit and the integration evaluation unit, and sends an obtained blocked signal to the information display unit;
and the integration evaluation unit immediately invokes the display data, the information display transmission evaluation coefficient C and the operation data to carry out integration evaluation analysis after receiving the inquiry instruction and the reservation instruction, and sends the obtained management signal to the information display unit.
2. The big data-based outpatient information inquiry reservation management system according to claim 1, wherein a security authority authentication analysis process of the authority analysis unit is as follows:
carrying out character extraction on the password corresponding to the ID number of the outpatient information card registered with the patient and the password corresponding to the ID number of the outpatient information card to form an authenticated character string, so as to construct an authority database of the authenticated character string;
acquiring an outpatient information card ID number and a registration password input by a patient, performing character extraction on the outpatient information card ID number and the registration password input by the patient, forming a first verification character string, and comparing the first verification character string with a permission database for analysis:
if the first verification character string belongs to the authority database, generating an authorization signal;
if the first verification character string does not belong to the authority database, generating a feedback instruction, and returning to the login page for secondary authorization verification when the feedback instruction is generated.
3. The big data-based outpatient information inquiry reservation management system according to claim 1, wherein the information display supervision evaluation analysis process of the page analysis unit is as follows:
s1: acquiring the duration of a period of time after an authorization signal is generated, marking the duration as a time threshold, dividing the time threshold into i sub-time nodes, wherein i is a natural number larger than zero, acquiring the information loading speed of a device display page in each sub-time node, constructing a set A of the information loading speed, acquiring the difference value between two connected subsets in the set A, acquiring the average value of the difference value between the two connected subsets, and marking the average value of the difference value between the two connected subsets as a loading floating value;
s12: acquiring a page feature image of a device display page in a time threshold, simultaneously acquiring a standard page feature image of a normal device display page, dividing the standard page feature image into a text region and a non-text region, acquiring an area value of the text region in the standard page feature image, marking the area value as an operation area, acquiring an area value of the text region in the page feature image in the time threshold, marking the area value as a display area, and marking the ratio of the display area to the operation area as a display risk value;
s13: comparing the loading floating value with a preset loading floating value threshold value and a preset display risk value threshold value of the internal input storage of the loading floating value and the display risk value, and analyzing the loading floating value and the display risk value:
if the loading floating value is smaller than the preset loading floating value threshold value and the display risk value is smaller than the preset display risk value threshold value, generating a normal signal;
and if the loading floating value is greater than or equal to a preset loading floating value threshold value or the display risk value is greater than or equal to a preset display risk value threshold value, generating an optimization signal.
4. The big data-based outpatient information query reservation management system of claim 1, wherein the transmission analysis unit's regulatory feedback assessment analysis process is as follows:
SS1: acquiring network stability evaluation values of equipment in each sub-time node, wherein the network stability evaluation values represent the ratio of the real-time network transmission speed to the real-time network connection number of a network connected with the outpatient service equipment, so as to acquire the difference value between the network stability evaluation values in the two connected sub-time nodes, mark the floating value, acquire the maximum value and the minimum value of the floating value, and mark the average risk value PF of the difference value between the maximum value and the minimum value of the floating value;
SS12: acquiring a line risk value of equipment in each sub-time node, wherein the line risk value refers to a product value obtained by carrying out data normalization processing on a part of a conductor resistance value exceeding a preset conductor resistance value threshold and a line temperature value, comparing the line risk value with a preset line risk value threshold, and if the line risk value is larger than the preset line risk value threshold, marking the ratio of the total number of sub-time nodes corresponding to the line risk value larger than the preset line risk value threshold to the total number of sub-time nodes as a line interference value XG;
SS13: according to the formulaObtaining an information display transmission evaluation coefficient C, wherein a1 and a2 are preset scale factor coefficients of an average risk value and a line interference value respectively, a1 and a2 are positive numbers larger than zero, a3 is a preset compensation factor coefficient, the value is 1.446, and the information display transmission evaluation coefficient C is compared with a preset information display transmission evaluation coefficient threshold value recorded and stored in the information display transmission evaluation coefficient C:
if the information display transmission evaluation coefficient C is smaller than or equal to a preset information display transmission evaluation coefficient threshold value, no signal is generated;
and if the information display transmission evaluation coefficient C is larger than the preset information display transmission evaluation coefficient threshold value, generating an early warning signal.
5. The big data-based outpatient information query appointment management system of claim 1, wherein the security operation supervision evaluation analysis process of the selection analysis unit is as follows:
the first step: acquiring a delay risk value of an equipment operation panel in a time threshold, wherein the delay risk value represents a ratio of a part of a time period exceeding a preset time period from the moment of opening the touch operation panel to the moment of realizing an expected instruction to the preset time period, comparing the delay risk value with a preset delay risk value threshold, and if the delay risk value is larger than the preset delay risk value threshold, marking the ratio of the part of the delay risk value larger than the preset delay risk value threshold to the preset delay risk value threshold as a delay influence value;
and a second step of: acquiring the running current of an internal display element of an equipment operation panel in each sub-time node, taking time as an X axis, taking the running current as Y, establishing a rectangular coordinate system, drawing a running current curve in a dot drawing mode, drawing a preset running current threshold curve in the coordinate system, acquiring the ratio between the length of a line segment above the preset running current threshold curve and the length of a line segment corresponding to the running current curve, and marking the ratio between the length of the line segment above the preset running current threshold curve and the length of the line segment corresponding to the running current curve as an abnormal influence value;
and a third step of: comparing the delay influence value and the abnormal influence value with a preset delay influence value threshold value and a preset abnormal influence value threshold value which are recorded and stored in the delay influence value and the abnormal influence value respectively, and analyzing the delay influence value and the abnormal influence value:
if the delay influence value is smaller than the preset delay influence value threshold value and the abnormal influence value is smaller than the preset abnormal influence value threshold value, generating an identification instruction;
and if the delay influence value is greater than or equal to a preset delay influence value threshold or the abnormal influence value is greater than or equal to a preset abnormal influence value threshold, generating a blocking signal.
6. The big data-based outpatient information query reservation management system of claim 5, wherein, when the selection analysis unit generates the identification instruction:
acquiring the subsequent operation of a user, and performing discriminant analysis on the subsequent operation:
if the subsequent operation is a query operation, generating a query instruction;
and if the subsequent operation is the reservation operation, generating a reservation instruction.
7. The big data-based outpatient information query reservation management system of claim 1, wherein the integrated evaluation unit has an integrated evaluation analysis process as follows:
obtaining a loading floating value, a display risk value, a delay influence value and an abnormal influence value, and respectively marking the loading floating value, the display risk value, the delay influence value and the abnormal influence value as JZ, ZF, YY and YX;
according to the formulaObtaining an integration operation evaluation coefficient, wherein f1, f2, f3, f4 and f5 are respectively preset weight coefficients of a loading floating value, a display risk value, a delay influence value, an abnormal influence value and an information display transmission evaluation coefficient, f1, f2, f3, f4 and f5 are positive numbers larger than zero, XL is an integration operation evaluation coefficient, and the integration operation evaluation coefficient XL is compared with a preset integration operation evaluation coefficient threshold value which is recorded and stored in the integration operation evaluation coefficient:
if the integration operation evaluation coefficient XL is smaller than a preset integration operation evaluation coefficient threshold value, no signal is generated;
if the integration operation evaluation coefficient XL is greater than or equal to a preset integration operation evaluation coefficient threshold, generating a management signal.
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