Method and system for identifying access direction of medical place area

Abstract

The invention discloses a medical place area access direction identification method and system, and the method comprises the steps: receiving an identification result of a passive positioning tag, recording the receiving time, constructing a state identification sequence according to the time sequence of the identification result, and calculating the weight parameters of a current identification result and a previous identification result; judging whether the previous recognition result is abnormal or not according to the consistency relationship between the previous recognition result and the two adjacent recognition results and the weight parameter of the previous recognition result, and if yes, adjusting the previous recognition result to be an opposite recognition result; and determining the in-out direction of the personnel or the materials at the regional entrance and exit according to the weight parameter and the time sequence of the identification result. According to the area access direction identification method and system, a long access area path does not need to be constructed, access direction judgment of the passive positioning label at the area access (such as a door) is achieved, and the judgment result is reliable.

Description

Technical Field

[0001] The present application belongs to the technical field of entry and exit area identification, and specifically relates to a method and system for identifying the entry and exit directions of a medical facility area. Background Art

[0002] For many special industries, such as the medical industry, it is necessary to determine the entry and exit of personnel or key materials and manage their locations. In order to meet the actual needs of hospitals, most of them use passive positioning tags to achieve the positioning management of personnel or materials.

[0003] Among the existing passive positioning tag solutions, most are existence positioning, which cannot determine the direction of entry and exit, nor the trajectory. There are a few solutions that can simply determine the trajectory. Figure 1 An existing method for simply determining trajectories is shown. This solution offsets the shortcomings of the technology itself by setting a longer path in and out of the area. It is suitable for path detection in long aisles, but cannot meet the requirements for determining the entry and exit directions at the entrances and exits of the area (especially doors).

[0004] There are also some solutions on the market that detect the entry and exit trajectory of objects by signal strength, but the actual use has a large error. The main reasons are as follows: Passive positioning tags rely on signal excitation to obtain energy to send signals, so the radiated signals are relatively weak, which makes the signals emitted by passive positioning tags very susceptible to interference. For example, in the scenario where people wear them, because the tag moves with the person, its position and antenna direction are constantly changing, so the change in signal strength and the change in the tag's position cannot show a linear relationship.

[0005] Currently, most solutions that can meet the needs of entry and exit direction and trajectory judgment use active tags. The tags are expensive, large in size, and have high maintenance costs. Especially for emergency scenarios, it is impossible to let emergency patients wear similar tags for rescue, which cannot meet the actual usage scenario needs of hospitals.

[0006] Therefore, it is necessary to improve the prior art to overcome the above defects in the prior art. Summary of the invention

[0007] Therefore, the present application aims to solve the technical problem that the prior art cannot identify the entry and exit directions of an area through passive positioning tags.

[0008] In order to solve the above technical problems, the present application provides a method for identifying the entry and exit directions of a medical facility area, comprising: The recognition result of the passive positioning tag obtained by the receiving antenna module is recorded together with the receiving time; wherein, the passive positioning tag is worn on the person or material to be located, and the antenna module is arranged at the entrance and exit of the area, including a first antenna for radiating within the area and a second antenna for radiating outside the area; Construct a status recognition sequence according to the time sequence of the recognition results; wherein, the recognition result corresponding to the state that the first antenna recognizes the passive positioning tag is within the area, and the recognition result corresponding to the state that the second antenna recognizes the passive positioning tag is outside the area; Calculate the time difference between the current recognition result and the previous recognition result, and calculate the weight parameters of the current recognition result and the previous recognition result according to the time difference; If there are recognition results before and after the previous recognition result, judge whether the previous recognition result is abnormal according to the consistency relationship between the previous recognition result and the adjacent two recognition results and the weight parameter of the previous recognition result. If it is abnormal, adjust the previous recognition result to the opposite recognition result; Determine the entry and exit directions of the person or material at the entrance and exit of the area according to the weight parameters and time sequence of the recognition results.

[0009] In one embodiment, the calculation of the weight parameters of the current recognition result and the previous recognition result according to the time difference includes: Calculate the weight parameter increment, and the calculation formula of the weight parameter increment is: △N i =[(T i -T i-1 ) / 2k], where T i is the acquisition time of the current recognition result, T i-1 is the acquisition time of the previous recognition result, k is the time step, and △N i is equal to the integer part of (T i -T i-1 ); Add the weight parameters of the current recognition result and the previous recognition result to the weight parameter increment △Ni respectively to obtain the updated recognition result weight parameters. Among them, the initial weight parameter of each recognition result is 1.

[0010] In one embodiment, the judgment of whether the previous recognition result is abnormal according to the consistency relationship between the previous recognition result and the adjacent two recognition results and the weight parameter of the previous recognition result includes: Judge whether the corresponding states of the previous recognition result and the adjacent two recognition results are consistent; If the corresponding statuses of the previous recognition result are both inconsistent with those of the two adjacent recognition results, add the weight parameters of the two adjacent recognition results to obtain the sum of adjacent weights, and compare the weight parameter of the previous recognition result with the sum of adjacent weights; If the weight parameter of the previous recognition result is less than the sum of adjacent weights, determine that the previous recognition result is abnormal.

[0011] In one embodiment, the determining the entry and exit directions of personnel or materials at the entrance and exit of the area according to the weight parameter and chronological order of the recognition result includes: Add the weight parameters of recognition results that are adjacent in time and have the same status to obtain the total status weight parameter; wherein, the total status weight parameter includes the total in-area status weight parameter and the total out-of-area status weight parameter; Determine the entry and exit directions of personnel or materials at the entrance and exit of the area according to the chronological order of the total in-area status weight parameter and the total out-of-area status weight parameter.

[0012] According to the area entry and exit direction recognition method of claim 4, wherein the method further includes: Determine the entry and exit times of personnel or materials at the entrance and exit of the area according to the jump times of the total in-area status weight parameter and the total out-of-area status weight parameter.

[0013] In one embodiment, the medical site includes multiple areas, and each area includes an entrance and exit of the area. The method further includes: Determine the route trajectory of personnel or materials in the medical site according to the entry and exit directions and entry and exit times of each area entrance and exit.

[0014] In addition, the present invention also provides a medical site area entry and exit direction recognition system, including: A passive positioning tag, adapted to be worn on personnel or materials to be positioned; An antenna module, wirelessly communicating with the passive positioning tag; wherein, the antenna module is arranged at the entrance and exit of the area, and includes a first antenna for radiating within the area and a second antenna for radiating outside the area; A recognition processor, communicatively connected to the antenna module, for receiving the recognition result of the passive positioning tag obtained by the antenna module and recording the reception time; wherein, the recognition result corresponding status recognized by the first antenna is within the area, and the recognition result corresponding status recognized by the second antenna is outside the area; The recognition processor is further configured to: Construct a status recognition sequence according to the chronological order of the recognition results; Calculate the time difference between the current recognition result and the previous recognition result, and calculate the weight parameters of the current recognition result and the previous recognition result according to the time difference; If there are recognition results before and after the previous recognition result, determine whether the previous recognition result is abnormal according to the consistency relationship between the previous recognition result and the adjacent two recognition results and the weight parameter of the previous recognition result. If it is abnormal, adjust the previous recognition result to the opposite recognition result; Determine the entry and exit directions of personnel or materials at the regional entrance and exit according to the weight parameters and time sequence of the recognition results.

[0015] In one embodiment, the recognition processor is further configured to: Calculate the weight parameter increment, where the weight parameter increment calculation formula is: △Ni = [(Ti - Ti-1) / 2k], where Ti is the acquisition time of the current recognition result, Ti-1 is the acquisition time of the previous recognition result, k is the time step, and △Ni is equal to the integer part of (Ti - Ti-1) / 2k; Add the weight parameters of the current recognition result and the previous recognition result to the weight parameter increment △Ni respectively to obtain the updated recognition result weight parameters. Among them, the initial weight parameter of each recognition result is 1.

[0016] In one embodiment, the recognition processor is further configured to: Judge whether the corresponding states of the previous recognition result and the adjacent two recognition results are consistent; If the corresponding states of the previous recognition result and the adjacent two recognition results are not consistent, add the weight parameters of the adjacent two recognition results to obtain the adjacent weight sum, and compare the weight parameter of the previous recognition result with the adjacent weight sum; If the weight parameter of the previous recognition result is less than the adjacent weight sum, it is judged that the previous recognition result is abnormal.

[0017] In one embodiment, it is characterized in that the recognition processor is further configured to: Add the weight parameters of the recognition results that are adjacent in time and have the same state to obtain the total state weight parameter; among them, the total state weight parameter includes the total in-region state weight parameter and the total out-of-region state weight parameter; Determine the entry and exit directions of personnel or materials at the regional entrance and exit according to the time sequence of the total in-region state weight parameter and the total out-of-region state weight parameter.

[0018] The technical solution provided by this application has the following advantages: The area entry and exit direction recognition method and system provided by the present invention can determine the entry and exit directions of passive positioning tags at the entrances and exits of areas (such as doors) without constructing long entry and exit area paths, and the judgment results are reliable. Brief Description of the Drawings

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0020] Figure 1 It is a schematic diagram of the principle for realizing area entry and exit direction recognition by relying on a long entry and exit area path in the prior art; Figure 2 It is a module schematic diagram of the area entry and exit direction recognition system for medical places provided by the embodiment of the present invention; Figure 3 It is a schematic diagram of the coverage range of the antenna module from a horizontal perspective of the area entry and exit direction recognition system for medical places provided by the embodiment of the present invention; Figure 4 It is a schematic diagram of the signal radiation range from a top view of the area entry and exit direction recognition system for medical places provided by the embodiment of the present invention; Figure 5 It is a simple module schematic diagram of the area entry and exit direction recognition system for medical places provided by an embodiment of the present invention; Figure 6 It is a flowchart of the area entry and exit direction recognition method for medical places provided by the embodiment of the present invention. Detailed Embodiments

[0021] The following will clearly and completely describe the technical solutions of the present application with reference to the drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. The present application will be described in detail below with reference to the drawings and in combination with the embodiments. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence.

[0023] In this application, unless otherwise specified, the orientation terms such as "upper, lower, top, bottom" usually refer to the direction shown in the drawings or to the vertical, perpendicular or gravitational direction of the component itself; similarly, for the convenience of understanding and description, "inner, outer" refer to the inner and outer of the contour of each component itself, but the above orientation terms are not used to limit this application.

[0024] Embodiment 1

[0025] This embodiment provides a system for identifying the entry and exit directions of a medical site area, which is used to judge the entry and exit directions of personnel or materials at the area entrance and exit of a medical site area. In a medical scenario, an "area" is usually a ward, a rescue room, an examination room or other places where the entry and exit of personnel or materials need to be monitored. To meet the actual positioning needs of a hospital, passive positioning tags are required to monitor and manage the entry and exit of personnel or materials from the area.

[0026] It should be noted that an "area" is understood as a range enclosed by an isolation barrier, and one or several gaps are provided in the isolation barrier to form an "area entrance and exit" for personnel or materials to enter and leave the area. That is to say, the "area entrance and exit" is formed by the gap in the isolation barrier and constitutes an entrance and exit from outside the area to inside the area or from inside the area to outside the area. Usually, the isolation barrier is a wall and the gap is a door or a pass without a door. It can be understood that the above "area entrance and exit" is located at the isolation barrier inside and outside the area and is the port for entering and leaving the area, and its path length is determined by the thickness of the area isolation barrier. Since the thickness of the isolation barrier is limited, the path length of the area entrance and exit is usually short.

[0027] However, in the existing passive positioning solutions, due to the short path length of the area entrance and exit, most of the area entrances and exits are existential positioning, and it is impossible to judge the entry and exit directions, let alone the trajectory. Figure 1 As shown in an existing method that can simply judge the trajectory, this solution offsets the defects of the technology itself by setting a longer entry and exit path for the area, which is suitable for detecting the entry and exit paths of long corridors and cannot meet the judgment of the entry and exit directions at the area entrances and exits with short path lengths.

[0028] There are also some solutions on the market that detect the entry and exit trajectories of items through signal strength, but the error is very large in actual use. The main reasons are as follows: Passive positioning tags obtain energy by signal excitation to send signals, so the signals they radiate are relatively weak, which makes the signals emitted by passive positioning tags very susceptible to interference. For example, in the scenario of being worn by a person, since the passive positioning tag moves with the person, its position and antenna direction are constantly changing, resulting in a non-linear relationship between the change in signal strength and the change in the position of the tag.

[0029] In a medical facility, there is a very urgent need to solve the problem of identifying the direction of entry and exit at the entrance and exit of an area. Especially in the case of an emergency, the passive positioning tag stays at the entrance and exit of the area for a very short time, posing a higher challenge to the identification of the direction of entry and exit of the area.

[0030] To solve the above problems, the present application provides a system for identifying the direction of entry and exit of an area in a medical facility. Figure 2 It is a schematic diagram of the modules of the system for identifying the direction of entry and exit of an area in a medical facility provided by an embodiment of the present invention. Figure 3 It is a schematic diagram of the coverage range of the antenna module from a horizontal perspective of the system for identifying the direction of entry and exit of an area in a medical facility provided by an embodiment of the present invention. Figure 4 It is a schematic diagram of the signal radiation range from a top-down perspective of the system for identifying the direction of entry and exit of an area in a medical facility provided by an embodiment of the present invention. Please refer to Figure 2 、 Figure 3 and Figure 4 The direction identification system for the entrance and exit of an area in a medical facility provided in this embodiment includes a passive positioning tag 3, an antenna module (1, 2), and an identification processor 5 communicatively connected to the antenna module.

[0031] Among them, the passive positioning tag 3 is suitable for being worn on a person or material to be positioned, and the antenna module (1, 2) communicates wirelessly with the passive positioning tag 3. Specifically, the passive positioning tag 3 is a UHF RFID (Ultra High Frequency Radio Frequency Identification), also known as an ultra-high frequency electronic tag in Chinese. The UHF RFID technology is an electronic tag technology that uses ultra-high frequency radio signals for communication. The RFID system in the UHF band has the characteristics of fast reading and writing speed, large storage capacity, long identification distance, low cost, small size, etc. The UHF band RFID technology operates in the frequency range of 1 GHz to 3 GHz. Compared with low-frequency and high-frequency RFID systems, UHF RFID has a longer reading distance and a higher data transmission rate.

[0032] The antenna module is arranged at the entrance and exit A of the area, and includes a first antenna 1 for radiating within the area and a second antenna 2 for radiating outside the area. Both the first antenna 1 and the second antenna 2 have an effective coverage area. In a specific implementation scenario, please refer to Figure 3, the maximum unilateral radiation angle β of the antenna module is 60 degrees according to the standard ceiling-mounted antenna. The ceiling height H in the hospital scenario is basically 2.5m - 3m, and it is calculated according to the maximum height H = 3m. The height h of the passive positioning tag 3 worn by personnel or materials is calculated as 0.5m. The coverage radius R of the antenna module = (3 - 0.5) / cot60° = 4.3m, that is, the antenna coverage path lengths inside and outside the area are about 8.6m. According to the normal walking speed of 1.5m / s of personnel or materials passing through the area entrance and exit, the maximum continuous time when walking normally under the coverage of the antenna module is about 6s. In the emergency first aid scenario, the passing speed is 3m / s, and the maximum continuous time when walking normally under the coverage of the antenna module is only about 3s, resulting in a very short stay time of the passive positioning tag 3 in the effective coverage area of the antenna module.

[0033] Figure 4 The coverage range of the antenna module is shown in a top-down view. Among them, the solid circles respectively show the effective coverage areas (also called effective radiation areas) of the first antenna 1 and the second antenna 2. In this embodiment, both the first antenna 1 and the second antenna 2 are ceiling-mounted antennas. The first antenna 1 and the second antenna 2 are respectively installed on the top of the area entrance and exit A, radiating vertically downward, and their radiation ranges are conical. For the content of the effective coverage area, refer to the above about the coverage radius of the antenna module, and it will not be elaborated here. From the top view, the effective coverage area of the first antenna 1 is roughly a solid circular area centered on the first antenna 1, and the effective coverage area of the second antenna 2 is roughly a solid circular area centered on the second antenna 2.

[0034] Since the passive positioning tag 3 needs external excitation to emit a response signal, the effective coverage range of the passive positioning tag 3 is very small. In order to increase the number of times of being recognized in a short time, the passive positioning tag is a ultra-high frequency tag (UHF RFID), with ultra-high frequency band characteristics. Its response signal has very strong wall penetration ability and signal reflection ability, resulting in a lot of unstable coverage areas being enlarged outside the original effective coverage area of the antenna module (as shown by the dotted circles in Figure 4 ), thus causing the problem of overlapping of the actual coverage areas of different antenna modules, making the technical difficulty of identifying the entry and exit directions of the area entrance and exit greater.

[0035] It should be noted that when the passive positioning tag 3 is in the effective coverage area of the first antenna 1, the probability of the passive positioning tag 3 being recognized by the first antenna 1 is higher than that of being recognized by the second antenna 2. When the passive positioning tag 3 is in the effective coverage area of the second antenna 2, the probability of the passive positioning tag 3 being recognized by the second antenna 2 is higher than that of being recognized by the first antenna 1.

[0036] The identification processor 5 is communicatively connected to both the first antenna 1 and the second antenna 2. The identification processor 5 is configured to receive the identification results of the first antenna 1 and the second antenna 2 and record the reception time. Among them, the identification result of the first antenna 1 for the passive positioning tag 3 corresponds to the state of being within the area, and the identification result of the second antenna 2 for the passive positioning tag 3 corresponds to the state of being outside the area. The identification processor 5 can judge the entry and exit directions of the passive positioning tag 3 at the area entrance and exit according to the identification results and the time sequence.

[0037] In specific implementation, the identification processor 5 is used to perform the following steps: Construct a state identification sequence according to the time sequence of the identification results; Calculate the time difference between the current identification result and the previous identification result, and calculate the weight parameters of the current identification result and the previous identification result according to the time difference; If there are identification results before and after the previous identification result, judge whether the previous identification result is abnormal according to the consistency relationship between the previous identification result and the adjacent two identification results and the weight parameter of the previous identification result. If it is abnormal, adjust the previous identification result to the opposite identification result; Determine the entry and exit directions of personnel or materials at the area entrance and exit according to the weight parameters and time sequence of the identification results.

[0038] Specifically, the identification processor 5 controls the antenna module to emit high-frequency electromagnetic waves (radio waves) to irradiate the passive positioning tag (UHF RFID). After the antenna of the passive positioning tag 3 receives the electromagnetic wave, it absorbs part of its energy and converts it into direct current for its chip to use. The chip modulates the data to be sent onto the reflected electromagnetic wave and sends it back to the identification processor 5. After the identification processor 5 receives the reflected electromagnetic wave, it can identify the model of the received antenna module through demodulation and decoding, so as to determine which antenna module (the first antenna 1 or the second antenna 2) the passive positioning tag 3 is in the coverage range of. When a person or material wearing the passive positioning tag 3 passes through the area entrance and exit A, by collecting the path data identification results of the passive positioning tag 3 and processing the path data identification results, judge the traveling direction of the person or material wearing the passive positioning tag 3. In specific simulation implementation, the identification processor 5 will successively receive the identification results of multiple antenna modules. According to the reception order of the identification results, the first received identification result is numbered 0, the second received identification result is numbered 1, and so on. A total of 8 path data identification results are received. Please refer to Table 1.

[0039] Table 1 Table of path data identification results at the area entrance and exit

[0040] As can be seen from Table 1, the data in the first column corresponds to the recognition result of ID 0, the data in the second column corresponds to the recognition result of ID 1, the data in the third column corresponds to the recognition result of ID 2, and so on. The data in the 8th column corresponds to the recognition result of ID 7. Among them, the second row of Table 1 is the antenna identifier. 0 means that the first antenna 1 recognizes the passive positioning tag 3, and 1 means that the second antenna 2 recognizes the passive positioning tag 3; the third row of Table 1 is the time, indicating the reception time of the corresponding recognition result, calculated in ms (milliseconds).

[0041] According to the identifier of the received antenna module, if the antenna identifier is 0, it means that the passive positioning tag is within the area, and if the antenna identifier is 1, it means that the passive positioning tag is outside the area, so as to realize the recognition of the inside and outside state of the area where the passive positioning tag 3 is located. After the recognition, Table 2 is obtained.

[0042] Table 2 Recognition Results of Path Data at the Entrance and Exit of the Area and Inside and Outside Status Table of the Area

[0043] As mentioned above, the coverage area of the antenna module has an unstable coverage area, and the status of the recognition result has a probability of error. In order to reduce the adverse impact of abnormal recognition results on the judgment of the area entry and exit direction, the method provided in this embodiment increases the calculation of the weight parameter of each recognition result. Specifically, by calculating the time difference between the current recognition result and the previous recognition result, the weight parameters of the current recognition result and the previous recognition result are calculated according to the time difference.

[0044] In specific implementation, the initial weight parameter of each recognition result is 1, and the weight parameter of the recognition result is calculated in the following way, including: Calculate the weight parameter increment △Ni according to the time difference between the current recognition result and the previous recognition result; Add the weight parameters of the current recognition result and the previous recognition result to the weight parameter increment △Ni respectively to obtain the updated weight parameters of the recognition result, where the initial weight parameter of each recognition result is 1.

[0045] Specifically, the calculation formula of the weight parameter increment △Ni is: △Ni = [(Ti - Ti-1) / 2k], where Ti is the acquisition time of the current recognition result, Ti-1 is the acquisition time of the previous recognition result, k is the time step, and △Ni is equal to the integer part of (Ti - Ti-1) / 2k.

[0046] Specifically, k is taken as 100ms. Taking the recognition results of ID 0 and ID 1 as an example, T1 = 35s537ms, T0 = 34s972ms, △N 01 = [(T1 - T0) / 2k] = 3. For the recognition results of ID 0 and ID 1, the weight parameter increment △N 01is 3, and the initial weight is added to the weight parameter increment to obtain the updated weight parameter. Since there is no recognition result in front of 0, and there are recognition results on both sides of the central recognition result, in order to balance the weight parameters of the edge recognition results, △N is also added in front of the 0th recognition result 01 , so N0 = 1 + 3 + 3 = 7, N1 = 1 + 3 = 4; where 1 is the initial weight parameter. When the 2nd recognition result is obtained, T2 = 36s066ms, T1 = 35s537ms, △N 12 = [(T2 - T1) / 2k] = 2. Therefore, the weight parameter increment of the 1st and 2nd recognition results is N 12 = 2. The initial weight is added to the weight parameter increment, N1 = 4 + 2 = 6, where 4 is the initial weight of the 1st recognition result updated by the foregoing calculation; the weight parameter N2 of the 2nd recognition result = 1 + 2 = 3; where 1 is the initial weight of the 2nd recognition result. When the 3rd recognition result is continuously obtained, T3 = 37s756ms, △N 23 = [(T3 - T2) / 2k] = 8, that is to say, the weight parameter increment of the 2nd and 3rd recognition results is 8. The initial weight is added to the weight parameter increment, the weight parameter N2 of the 2nd recognition result = 3 + 8 = 11, and the weight parameter N3 of the 3rd recognition result = 1 + 8 = 9.

[0047] The weight parameters of each recognition result are calculated in turn according to the above method. For the last recognition result, it is processed according to the same strategy as the 0th recognition result, and the weight parameter increment is added 2 times to the last recognition result. In this way, the weight parameters of each recognition result are obtained. In other embodiments, the weight parameter increment may not be supplemented for the recognition results at both ends, and only the weight parameter increment is added once, that is to say, finally N0 = 4, N7 = 4. It has been verified by experiments that it does not affect the recognition accuracy of the entry and exit directions.

[0048] For the recognized results in the center, it is possible to preliminarily judge whether the status is abnormal by the consistency with the recognized results on both adjacent sides. In specific implementation, if there are recognized results before and after the previous recognized result, judge whether the previous recognized result is abnormal according to the consistency relationship between the previous recognized result and the two adjacent recognized results and the weight parameter of the previous recognized result. Specifically, when the third recognized result (corresponding to number 2) is obtained, there are recognized results before and after the second recognized result (corresponding to number 1), which are the first recognized result (corresponding to number 0) and the third recognized result (corresponding to number 2) respectively. Judge whether the statuses corresponding to the current second recognized result and the first recognized result and the third recognized result are consistent respectively. If they are not consistent, it is considered that there is a jump in the status before and after the second recognized result. Please refer to Table 2. The statuses of the first 3 recognized results correspond to inside, outside, and inside respectively, and the status of the second recognized result is not consistent with the statuses of the previous two recognized results. In this case, further judge whether the second recognized result is abnormal in combination with the weight parameter of the recognized result. If it is abnormal, adjust the status corresponding to the second recognized result to the opposite status, that is, set the status corresponding to the second recognized result to inside, simply referred to as "set to inside".

[0049] In specific implementation, the recognition processor judges whether the previous recognized result is abnormal through the following steps: judge whether the corresponding statuses of the previous recognized result and the two adjacent recognized results are consistent; if the corresponding statuses of the previous recognized result and the two adjacent recognized results are not consistent, add the weight parameters of the two adjacent recognized results to obtain the adjacent weight sum, and compare the weight parameter of the previous recognized result with the adjacent weight sum; if the weight parameter of the previous recognized result is less than the adjacent weight sum, judge that the previous recognized result is abnormal. Exemplarily, taking the recognized result No. 1 as an example, the status of the recognized result No. 1 is not consistent with the statuses of the two adjacent recognized results, and the weight parameter of the recognized result No. 1 is less than the sum of the weights of No. 0 and No. 1, then judge that the recognized result No. 1 is abnormal and "set it to inside".

[0050] Subsequently, check all the subsequently obtained recognized results according to the above method. If it is abnormal, set the opposite status. In this embodiment, please refer to Figure 3 , the abnormal recognized result also includes the recognized result No. 5. After the recognized result No. 5 is corrected, it is "set to outside".

[0051] After processing all recognized results through the above abnormal handling, the corrected recognized result table is obtained. Please refer to Table 3 below. Further recognize the entry and exit directions of personnel or materials through the data in the corrected Table 3, which can reduce the influence of abnormal recognized results on the judgment of the entry and exit directions of the regional import and export.

[0052] Table 3 Correction status and weight parameter table of the path data recognition results of the regional import and export

[0053] After obtaining the corrected recognition result, the recognition processor 5 determines the entry and exit directions of personnel or materials at the entrance and exit of the area based on the weight parameters and chronological order of the recognition results. In specific implementation, the recognition processor 5 realizes the judgment of the entry and exit directions in the following way: adding the weight parameters of the recognition results that are adjacent in time and have the same status to obtain the total status weight parameter. Please refer to Table 4, which shows the corrected status and weight statistical results of the path data recognition results at the entrance and exit of the area. Among them, the total status weight parameter includes the total status weight parameter inside the area and the total status weight parameter outside the area. Determine the entry and exit directions of personnel or materials at the entrance and exit of the area according to the chronological order of the total status weight parameter inside the area and the total status weight parameter outside the area.

[0054] Specifically, the statistical result of the total status parameter inside the area is 24, and the statistical result of the total status parameter outside the area is 38. The time of the total status parameter inside the area is earlier than the time corresponding to the total status parameter outside the area. Therefore, the moving direction of the wireless positioning tag 3 is from inside the area to outside the area.

[0055] Table 4 Correction Status and Weight Statistics Table of Path Data Recognition Results at the Entrance and Exit of the Area

[0056] In some embodiments, the recognition processor is further configured to determine the entry and exit times of personnel or materials at the entrance and exit of the area according to the jump times of the total status weight parameter inside the area and the total status weight parameter outside the area. Specifically, please continue to refer to Table 4. The total status parameter inside the area and the total status parameter outside the area jump at the 2nd and 3rd recognition results, indicating that the internal and external statuses of personnel and materials change between the corresponding 2nd and 3rd recognition results. Thus, the time for recognizing the entry and exit of personnel or materials from the area is the moment corresponding to the 2nd recognition result, that is, the personnel or materials leave the supervised area at 36s066 milliseconds.

[0057] In an actual medical facility, there are usually multiple areas, and even a single area has multiple entrances and exits. To obtain a more comprehensive route trajectory of personnel or materials, please refer to Figure 5 , in specific implementation, the recognition processor 5 is further configured to determine the route trajectory of personnel or materials in the medical facility according to the entry and exit directions and entry and exit times at the entrance and exit of each area. Figure 5The area shown includes a total of 3 area entrances and exits, namely area entrance and exit A, area entrance and exit B, and area entrance and exit C. An inner antenna and an outer antenna are provided at each area entrance and exit. The inner antenna is used to radiate within the area, and the outer antenna is used to radiate outside the area. Among them, the inner antenna of area entrance and exit A is the first antenna 1, and the outer antenna of area entrance and exit 2 is the second antenna 2. For the relevant content of the antenna module and the identification processor of area entrance and exit A, please refer to the above-mentioned embodiments. Similarly, area entrance and exit B and area entrance and exit C are the same as area entrance and exit A in terms of the antenna module, the identification processor, and their functions, and will not be elaborated here. A medical facility may include multiple Figure 5 areas shown. Through the above method, it is possible to identify the entry and exit directions and times of personnel and materials at the area entrances and exits of each area. Therefore, it is possible to determine the route trajectory of personnel or materials wearing passive positioning tags in the medical facility.

[0058] It should be noted that the inner antenna may include one first antenna or multiple first antennas; the outer antenna may include one second antenna or multiple second antennas, and no limitation is made here.

[0059] The medical facility area entry and exit direction identification system provided in this embodiment can process the identification signals of the antenna module through the identification processor 5, realize the detection of the entry and exit directions of the area entrances and exits, does not require the establishment of a long-channel access path, has a wide application range, does not add additional hardware devices, and has been experimentally verified to have an accuracy rate as high as 99%.

[0060] Embodiment 2

[0061] This application also provides a medical facility area entry and exit direction identification method, which corresponds to the medical facility area entry and exit direction identification system described in the above embodiment. For the sake of simplicity of description, the functions corresponding to the functional components are cross-referred to those in Embodiment 1, and will not be elaborated in this embodiment.

[0062] Please refer to Figure 6 shown. When the identification method is specifically implemented, it includes the following steps: S10: Receive the identification result of the passive positioning tag obtained by the antenna module and record the reception time; Among them, the passive positioning tag is worn on the person or material to be located. Please refer to Figure 2 shown. The antenna module is set at area entrance and exit A and includes the first antenna 1 for radiating within the area and the second antenna 2 for radiating outside the area. The identification processor 5 is communicatively connected to the antenna module and is used to receive the identification result of the passive positioning tag 3 and record the reception time.

[0063] S20: Construct a status identification sequence according to the time sequence of the identification results; The identification processor 5 is communicatively connected to both the first antenna 1 and the second antenna 2, and the identification processor 5 is configured to read the identification data of the first antenna 1 and the second antenna 2. Among them, the identification result corresponding state of the passive positioning tag 3 recognized by the first antenna 1 is within the area, and the identification result corresponding state of the passive positioning tag 3 recognized by the second antenna 2 is outside the area.

[0064] S30: Calculate the time difference between the current identification result and the previous identification result, and calculate the weight parameters of the current identification result and the previous identification result according to the time difference; S40: If there are identification results before and after the previous identification result, judge whether the previous identification result is abnormal according to the consistency relationship between the previous identification result and the adjacent two identification results and the weight parameter of the previous identification result. If it is abnormal, adjust the previous identification result to the opposite identification result; S50: Determine the entry and exit directions of personnel or materials at the area entrance and exit according to the weight parameters and time sequence of the identification results.

[0065] When a person or material wearing the passive positioning tag 3 passes through the area entrance and exit A, the path data identification result of the passive positioning tag 3 is collected, and the path data identification result is processed to judge the traveling direction of the person or material wearing the passive positioning tag 3. For the related functions of the identification processor, reference can be made to Embodiment 1, which will not be elaborated here.

[0066] In one embodiment, the calculating the weight parameters of the current identification result and the previous identification result according to the time difference includes: Calculate the weight parameter increment, where the weight parameter increment calculation formula is: △N i =[(T i -T i-1 ) / 2k], where T i is the acquisition time of the current identification result, T i-1 is the acquisition time of the previous identification result, k is the time step, and △N i is equal to the integer part of (T i -T i-1 ) / 2k; Add the weight parameters of the current identification result and the previous identification result to the weight parameter increment △N i respectively to obtain the updated identification result weight parameters.

[0067] In one embodiment, the judging whether the previous identification result is abnormal according to the consistency relationship between the previous identification result and the adjacent two identification results and the weight parameter of the previous identification result includes: Judge whether the corresponding states of the previous identification result and the adjacent two identification results are consistent; If the corresponding statuses of the previous recognition result are inconsistent with those of the two adjacent recognition results, add the weight parameters of the two adjacent recognition results to obtain the sum of adjacent weights, and compare the weight parameter of the previous recognition result with the sum of adjacent weights; If the weight parameter of the previous recognition result is less than the sum of adjacent weights, determine that the previous recognition result is abnormal.

[0068] In one embodiment, the determining the entry and exit directions of personnel or materials at the entrance and exit of the area according to the weight parameters and chronological order of the recognition results includes: Add the weight parameters of recognition results that are adjacent in time and have the same status to obtain the total status weight parameter; wherein, the total status weight parameter includes the total in-area status weight parameter and the total out-of-area status weight parameter; Determine the entry and exit directions of personnel or materials at the entrance and exit of the area according to the chronological order in which the total in-area status weight parameter and the total out-of-area status weight parameter appear.

[0069] In one embodiment, the method further includes: Determine the entry and exit times of personnel or materials at the entrance and exit of the area according to the jump times of the total in-area status weight parameter and the total out-of-area status weight parameter.

[0070] In one embodiment, a medical facility includes multiple areas, and each area includes an entrance and exit of the area. The method further includes: Determine the route trajectory of personnel or materials in the medical facility according to the entry and exit directions and entry and exit times of each area entrance and exit.

[0071] Obviously, the above-described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, those of ordinary skill in the art can make other different forms of changes or modifications without creative efforts, and all of them should fall within the protection scope of the present application.

Claims

1. A method for identifying the entry and exit directions of areas in a medical facility, characterized in that, Including: The identification result of the passive positioning tag obtained by the receiving antenna module, and record the receiving time; wherein, the passive positioning tag is worn on the person or material to be positioned, and the antenna module is arranged at the regional entrance and exit, including a first antenna for radiating within the region and a second antenna for radiating outside the region; Construct a status identification sequence according to the time sequence of the identification results; wherein, the status corresponding to the identification result of the passive positioning tag recognized by the first antenna is within the region, and the status corresponding to the identification result of the passive positioning tag recognized by the second antenna is outside the region; Calculate the time difference between the current identification result and the previous identification result, and calculate the weight parameters of the current identification result and the previous identification result according to the time difference; If there are identification results before and after the previous identification result, judge whether the previous identification result is abnormal according to the consistency relationship between the previous identification result and the adjacent two identification results and the weight parameter of the previous identification result. If it is abnormal, adjust the previous identification result to the opposite identification result; Determine the entry and exit directions of the person or material at the regional entrance and exit according to the weight parameters and time sequence of the identification results.

2. The regional entry / exit direction recognition method according to claim 1, characterized in that The calculating the weight parameters of the current identification result and the previous identification result according to the time difference includes: Calculate the weight parameter increment, where the weight parameter increment calculation formula is: △N i =[(T i -T i-1 ) / 2k], where T i is the acquisition time of the current recognition result, T i-1 is the acquisition time of the previous recognition result, k is the time step, and △N i equals the integer part of (T i -T i-1 ) / 2k; The weight parameters of the current recognition result and the previous recognition result are respectively added to the weight parameter increment △N i to obtain the updated weight parameter of the recognition result, where the initial weight parameter of each said recognition result is 1.

3. The regional entry and exit direction recognition method according to claim 1, characterized in that The judging whether the previous identification result is abnormal according to the consistency relationship between the previous identification result and the adjacent two identification results and the weight parameter of the previous identification result includes: Judge whether the corresponding status of the previous identification result is consistent with the adjacent two identification results; If the corresponding status of the previous identification result is inconsistent with the adjacent two identification results, add the weight parameters of the adjacent two identification results to obtain the adjacent weight sum, and compare the weight parameter of the previous identification result with the adjacent weight sum; If the weight parameter of the previous identification result is less than the adjacent weight sum, judge that the previous identification result is abnormal.

4. The regional entry and exit direction recognition method according to claim 1, characterized in that The determining the entry and exit directions of the person or material at the regional entrance and exit according to the weight parameters and time sequence of the identification results includes: Add the weight parameters of the identification results that are adjacent in time and have the same status to obtain the total status weight parameter; wherein, the total status weight parameter includes the total status weight parameter within the region and the total status weight parameter outside the region; Determine the entry and exit directions of the person or material at the regional entrance and exit according to the time sequence of the total status weight parameter within the region and the total status weight parameter outside the region.

5. The regional entry and exit direction recognition method according to claim 4, characterized in that The method further includes: Determine the entry and exit time of the person or material at the regional entrance and exit according to the jump time of the total status weight parameter within the region and the total status weight parameter outside the region.

6. The method for identifying the in-out direction of a region according to any one of claims 1-5, characterized in that, The medical place includes multiple regions, and each region includes a regional entrance and exit. The method further includes: Determine the route trajectory of the person or material in the medical place according to the entry and exit directions and entry and exit times of each regional entrance and exit.

7. A system for identifying the entry and exit directions of areas in a medical facility, characterized in that, Including: A passive positioning tag, suitable for wearing on the person or material to be positioned; An antenna module that communicates wirelessly with the passive positioning tag; wherein, the antenna module is disposed at the entrance and exit of the area, and includes a first antenna for radiating within the area and a second antenna for radiating outside the area; An identification processor, communicatively connected to the antenna module, for receiving the identification result of the passive positioning tag obtained by the antenna module and recording the reception time; wherein, when the identification result of the passive positioning tag recognized by the first antenna corresponds to the state within the area, and the identification result of the passive positioning tag recognized by the second antenna corresponds to the state outside the area; The identification processor is further configured to: Construct a state identification sequence according to the time sequence of the identification results; Calculate the time difference between the current identification result and the previous identification result, and calculate the weight parameters of the current identification result and the previous identification result according to the time difference; If there are identification results before and after the previous identification result, determine whether the previous identification result is abnormal according to the consistency relationship between the previous identification result and the adjacent two identification results and the weight parameter of the previous identification result. If it is abnormal, adjust the previous identification result to the opposite identification result; Determine the entry and exit directions of personnel or materials at the entrance and exit of the area according to the weight parameters and time sequence of the identification results.

8. The regional entry and exit direction recognition system according to claim 7, wherein, The identification processor is further configured to: Calculate the weight parameter increment, where the weight parameter increment calculation formula is: △N i = [(T i - T i-1 ) / 2k], where T i is the acquisition time of the current recognition result, T i-1 is the acquisition time of the previous recognition result, k is the time step, and △N i equals the integer part of (T i - T i-1 ) / 2k; The weight parameters of the current recognition result and the previous recognition result are respectively added to the weight parameter increment △N i to obtain the updated weight parameter of the recognition result, wherein the initial weight parameter of each said recognition result is 1.

9. The regional entry and exit direction recognition system according to claim 7, characterized in that The identification processor is further configured to: Judge whether the corresponding states of the previous identification result and the adjacent two identification results are consistent; If the corresponding states of the previous identification result and the adjacent two identification results are not consistent, add the weight parameters of the adjacent two identification results to obtain the adjacent weight sum, and compare the weight parameter of the previous identification result with the adjacent weight sum; If the weight parameter of the previous identification result is less than the adjacent weight sum, it is determined that the previous identification result is abnormal.

10. The regional entry and exit direction recognition system according to claim 7, characterized in that The identification processor is further configured to: Add the weight parameters of the identification results that are adjacent in time and have the same state to obtain the total state weight parameter; wherein, the total state weight parameter includes the total state weight parameter within the area and the total state weight parameter outside the area; Determine the entry and exit directions of personnel or materials at the entrance and exit of the area according to the time sequence of the total state weight parameter within the area and the total state weight parameter outside the area.

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